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Preprint ARTICLE | doi:10.20944/preprints202003.0356.v1

Initial Review and Analysis of COVID-19 Host Genetics and Associated Phenotypes

Yosuke Tanigawa, Manuel Rivas

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: COVID-19; SARS-CoV-2; host genetics; genetics; polygenic risk score

Online: 24 March 2020 (08:36:20 CET)

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Preprint ARTICLE | doi:10.20944/preprints201710.0169.v1

A Longitudinal Approach to Biological Psychiatric Research: The PsyCourse Study

Monika Budde, Heike Anderson-Schmidt, Katrin Gade, Daniela Reich-Erkelenz, Kristina Adorjan, Janos L. Kalman, Fanny Senner, Sergi Papiol, Till F. M. Andlauer, Ashley L. Comes, Eva C. Schulte, Farah Klöhn-Saghatolislam , Anna Gryaznova, Maria Hake, Kim Bartholdi, Laura Flatau, Markus Reitt, Silke Quast, Sophia Stegmaier, Milena Meyers, Barbara Emons, Ida Sybille Haußleiter, Georg Juckel, Vanessa Nieratschker, Udo Dannlowski, Max Schmauß, Jörg Zimmermann, Jens Reimer, Sybille Schulz, Jens Wiltfang, Eva Reininghaus, Ion-George Anghelescu, Volker Arolt, Bernhard T. Baune, Carsten Konrad, Andreas Thiel, Andreas J. Fallgatter, Christian Figge, Martin von Hagen, Manfred Koller, Fabian U. Lang, Moritz E. Wigand, Thomas Becker, Markus Jäger, Detlef E. Dietrich, Sebastian Stierl, Harald Scherk, Carsten Spitzer, Here Folkerts, Stephanie H. Witt, Franziska Degenhardt, Andreas J. Forstner, Marcella Rietschel, Markus M. Nöthen, Peter Falkai, Thomas G. Schulze, Urs Heilbronner

Subject: Medicine And Pharmacology, Psychiatry And Mental Health Keywords: Schizophrenia; bipolar; psychosis; depression; polygenic risk score; diagnosis; RDoC

Online: 27 October 2017 (11:58:11 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202003.0237.v2

Applying f₄-Statistics and Admixture Graphs: Theory and Examples

Mark Lipson

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: f-statistics; admixture graphs; admixture; parameter estimation

Online: 8 May 2020 (04:05:41 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201911.0314.v3

Financial Performance Analysis of Distressed Banks in Ghana: Exploration of Financial Ratios and Z-score

Juabin Matey

Subject: Business, Economics And Management, Economics Keywords: Bank; , Debt; Distress; Performance; Credit Management Practice; Z-score

Online: 19 December 2019 (13:05:29 CET)

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Preprint ARTICLE | doi:10.20944/preprints201703.0164.v1

Decentralization and Transboundary Pollution: Evidence from the Change of Water Pollution Levels in China

Yongliang Yang, Manhong Shen

Subject: Business, Economics And Management, Economics Keywords: Boundary effect; Transboundary pollution; Propensity Score Matching

Online: 20 March 2017 (17:33:38 CET)

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Preprint ARTICLE | doi:10.20944/preprints201905.0307.v2

Comparing f-OFDM and OFDM Performance for MIMO Systems Considering a 5G Scenario

Felipe Augusto Pereira de Figueiredo, Nathália F. T. Aniceto, Jorge Seki, Ingrid Moerman, Gustavo Fraidenraich

Subject: Engineering, Electrical And Electronic Engineering Keywords: 5G RANGE, OFDM, f-OFDM, OOBE, Spectral-localization, MIMO

Online: 29 May 2019 (11:09:12 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201705.0091.v1

The Government Support and the Innovation of the New Energy Firms

Weijian Du, Mengjie Li

Subject: Business, Economics And Management, Economics Keywords: Government support; Innovation probability; Innovation destiny; Propensity score matching

Online: 10 May 2017 (18:04:33 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201702.0096.v1

Identification and Characterization of Spontaneous Auxotrophic Mutants in Fusarium langsethiae

Olga Gavrilova, Anna Skritnika, Tatiana Gagkaeva

Subject: Environmental And Earth Sciences, Environmental Science Keywords: auxotrophy; subgroups of F. langsethiae; temperature sensitivity; biotin; thiamine; media; northern Europe

Online: 27 February 2017 (09:05:19 CET)

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Preprint ARTICLE | doi:10.20944/preprints201710.0184.v1

Antifungal Activity and Action Mode of Cuminic Acid from the Seed of Cuminum cyminum. L against Fusarium oxysporum f. sp. Niveum (FON) on Watermelon

Yang Sun, Yong Wang, Lirong Han, Xing Zhang, Juntao Feng

Subject: Biology And Life Sciences, Agricultural Science And Agronomy Keywords: Fusarium oxysporum f. sp. Niveum; p-isopropyl benzoic acid; Biofungicide; Disease management

Online: 30 October 2017 (15:46:36 CET)

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Preprint ARTICLE | doi:10.20944/preprints201801.0041.v1

Plasma cBIN1 Score (CS) Identifies HFpEF and Can Predict Cardiac Hospitalization in Stable Ambulatory Patients

Andriana P. Nikolova, Tara C. Hitzeman, Rachel Baum, Bing Xu, Sosse Agvanian, Yu Xie, Dael R. Geft, David H. Chang, Jaime D. Moriguchi, Antoine Hage, Babak Azarbal, Lawrence S. Czer, Michelle M. Kittleson, Jignesh K. Patel, Alan H. B. Wu, Jon A. Kobashigawa, Michele Hamilton, TingTing Hong, Robin Shaw

Subject: Medicine And Pharmacology, Cardiac And Cardiovascular Systems Keywords: biomarkers; heart failure with preserved ejection fraction (HFpEF); cBIN1; cBIN1 Score (CS)

Online: 7 January 2018 (13:49:49 CET)

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Objective: We determined, in stable ambulatory heart failure with preserved ejection fraction (HFpEF) subjects and matched controls, the capability of a novel blood based cardiac-specific cBIN1 Score (CS) to diagnose heart failure and prognosticate future hospitalization. Background: Heart failure (HF) poses a costly health care burden worldwide with rising prevalence. Abnormal calcium signaling is intrinsic to HF pathophysiology and correlates with reduced expression of a cardiac membrane scaffolding protein, cardiac bridging integrator 1 (cBIN1). We hypothesize that CS, a numerical score derived from plasma cBIN1 concentration, is a diagnostic and prognostic biomarker of HF. Methods: Plasma cBIN1 is quantified by an ELISA test, and CS is calculated as the natural log of the normalized reciprocal of plasma cBIN1 concentration. We determined CS among 52 clinically stable individuals with HFpEF (LVEF ≥ 50%) (mean age 57 ± 15 years old, 63% men) and 104 age and sex matched volunteers with no known history of HF. We obtained plasma concentrations of NT-proBNP, a marker of volume status, as comparison. Baseline co-morbidities and one year longitudinal clinical information were obtained through electronic medical records. Results: Median CS is 0 (IQR -0.4 – 0.6) in the control cohort and is increased to 1.8 in the HFpEF cohort (IQR 1.5 – 2.3, p < 0.0001). For HFpEF diagnosis, CS has a receiver operating characteristic (ROC) area under the curve (AUC) of 0.94 (95% CI 0.95 – 0.99) and NT-proBNP of 0.89 (95% CI 0.83 – 0.95). Kaplan-Meier analysis of one year cardiovascular hospitalizations reveals that HFpEF patients with CS ≥ 1.8 have a hazard ratio (HR) of 4.0 (95% CI 1.4 – 11.2, p=0.009). Combining CS ≥ 1.8 with NT-proBNP ≥ 300 pg/mL, increases HR to 21.4 (95% CI 2.7 – 171.6, p=0.004). Conclusions: In a cohort of stable ambulatory HF patients with cardiomyopathies of multiple etiologies and preserved ejection fraction, a positive CS correlates with worsening myocardial health and predicts future hospitalization. CS, a marker of cardiac muscle health, provides a novel index to informing the management of stable ambulatory HF patients.

Preprint ARTICLE | doi:10.20944/preprints202105.0145.v1

Weight Estimation of Marine Propulsion and Power Generation Machinery

Arun Kr Dev, Makaraksha Saha

Subject: Engineering, Marine Engineering Keywords: engine weight; engine power; engine/generator power; engine RPM; cylinder number; power-RPM ratio; power-RPM ratio per cylinder; low-speed; medium-speed; high-speed; standard deviation; correlation coefficient; coefficient of multiple determination; F-statistic

Online: 7 May 2021 (14:17:36 CEST)

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During the conceptual and preliminary design stage of a ship, designers need to ensure that the selected principal dimensions and parameters are good enough to deliver a stable ship (statically and dynamically) besides deadweight and speed. To support this, the initial intact stability of the proposed ship is required to be calculated, and in doing so, the lightship weight and its detailed breakdown are necessary to be known. After hull steel weight, machinery weight, mainly, marine propulsion and power generation machinery, play a vital role in the lightship weight estimate of a ship due to its robustness. The correct estimation of respective weights improves the accuracy of calculating a ship's initial stability typically to be designed and built. Hence, it would be advantageous for the designer to convince the ship owner. A total of 3006 marine propulsion (main marine diesel) engines and 348 power generation (auxiliary marine diesel) engines/generators of various power output (generators output for auxiliary engines), engine RPM and cylinder number of different engine makers are collected. These are analyzed and presented in both tabular and graphical forms to demonstrate the possible relationship between marine propulsion engine weight and power generation engine weight, and their respective power output, RPM, cylinder number, power-RPM ratio and power-RPM ratio per cylinder.In this article, the authors have attempted to investigate the behavior of marine propulsion engine weight and power generation engine/generator weight regarding engine power output, generator power output, engine RPM and cylinder number (independent variables). Further attempts have been made to identify those independent variables that influence the weight of the marine propulsion engine and power generation engine/generator (dependent variables), and their interrelationships. A mathematical model has thus been developed and proposed, as a guiding tool, for the designer to estimate the weight of main and auxiliary engines more accurately during the conceptual and preliminary design stage.

Preprint ARTICLE | doi:10.20944/preprints201801.0040.v1

Plasma cBIN1 Score (CS) Identifies HFrEF and Can Predict Cardiac Hospitalization in Stable Ambulatory Patients

Yu Xie, Tara C. Hitzeman, Ronit H. Zadikany, Andriana P. Nikolova, Rachel Baum, Bing Xu, Sosse Agvanian, Gil Y. Melmed, Dermot T. McGovern, Dael R. Geft, David H. Chang, Jaime D. Moriguchi, Antoine Hage, Babak Azarbal, Lawrence S. Czer, Michelle M. Kittleson, Jignesh K. Patel, Alan H. B. Wu, Jon A. Kobashigawa, Michele Hamilton, TingTing Hong, Robin M. Shaw

Subject: Medicine And Pharmacology, Cardiac And Cardiovascular Systems Keywords: biomarker; heart failure with reduced ejection fraction (HFrEF); cBIN1; cBIN1 Score (CS)

Online: 7 January 2018 (12:51:36 CET)

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Objective: We determined, in stable ambulatory heart failure with reduced ejection fraction (HFrEF) subjects and matched controls, the capability of a novel blood based cardiac-specific cBIN1 Score (CS), which assesses the health of cardiac muscle, to identify patients with known heart failure (HF) and to prognosticate future hospitalization. Background: Limited clinical tools are available in assessing cardiac muscle health in stable ambulatory patients. Cardiac bridging integrator 1 (cBIN1) is a cardiomyocyte t-tubule membrane scaffolding protein which regulates calcium signaling in cardiomyocytes, decreases in failing muscle, and is present in plasma in levels that correlate with cardiac content. We hypothesize that CS, a normalized index of plasma cBIN1 concentration, can function as a diagnostic and prognostic biomarker of HF. Methods: Plasma cBIN1 concentration is measured by an ELISA test, and CS is calculated as the natural log of the ratio of a constant population mean cBIN1 to measured cBIN1 concentration. We determined CS among 125 clinically stable individuals with HFrEF (LVEF ≤ 40%) (mean age 56 ± 10 years old, 79% men) and 125 age, sex matched volunteers with no known history of HF. We obtained plasma concentrations of NT-proBNP, a marker of volume status, as comparison. Baseline co-morbidities and 18-month longitudinal clinical information were obtained through electronic medical records. Results: CS follows a normal distribution with a median of 0 in the control population and median is significantly increased among HFrEF patients to 1.8 (IQR 1.4 – 2.1, p < 0.0001). CS diagnosed HFrEF with a receiver operating characteristic (ROC) area under the curve (AUC) of 0.93 (AUC is 0.98 for NT-proBNP, and combined CS and NT-proBNP AUC is 0.99). Unlike NT-proBNP, CS does not correlate with body mass index (BMI) in either the control or HFrEF population (Pearson’s r = -0.15, p = 0.12; Pearson’s r = 0.003, p = 0.97, respectively). NT-proBNP significantly correlates with renal function (Pearson’s r = -0.37, p = 0.001), while CS also has no correlation (Pearson’s r = 0.03, p = 0.71). During an 18-month follow-up, a high CS ≥ 1.8 at the initial visit predicted future cardiovascular hospitalizations (38% vs. 21%, p = 0.04, hazard ratio 2.0). NT-proBNP did not predict future cardiovascular hospitalizations. Conclusions: Plasma cBIN1 based CS is insensitive to BMI and renal function and differentiates myocardial health between patients with HFrEF versus matched controls. An abnormally high CS reflected poor intrinsic myocardial health and can predict future 18-month cardiac hospitalization in stable ambulatory patients.

Preprint ARTICLE | doi:10.20944/preprints201902.0241.v1

Super Long Green Persistent Luminescence from X-Ray Excited β-NaYF₄: Tb³⁺

Yue Hu, Yanmin Yang, Xiaoxiao Li, Xin Wang, Yunqian Li, Tianyi Li, Hongwu Zhang

Subject: Physical Sciences, Optics And Photonics Keywords: Long afterglow; tunneling model; F centers; PDT

Online: 26 February 2019 (12:45:04 CET)

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Preprint REVIEW | doi:10.20944/preprints202007.0448.v1

C-reactive Protein as a Diagnostic and Prognostic Factor of Endometrial Cancer

Maciej W. Socha, Bartosz Malinowski, Mateusz Wartęga, Oskar Puk, Bartłomiej Wolski, Michał Wiciński

Subject: Medicine And Pharmacology, Obstetrics And Gynaecology Keywords: C-reactive protein; hs-CRP; albumins; Glasgow Prognostic Score; Endometrial Cancer; CRP to albumin ratio; CRP; Cancer; Inflammation

Online: 19 July 2020 (21:13:19 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201803.0109.v1

The Association of Dietary Patterns with High-Risk Human Papillomavirus Infection and Cervical Cancer: A Cross-Sectional Study in Italy

Martina Barchitta, Andrea Maugeri, Annalisa Quattrocchi, Ottavia Agrifoglio, Aurora Scalisi, Antonella Agodi

Subject: Medicine And Pharmacology, Dietetics And Nutrition Keywords: Cervical intraepithelial neoplasia; Mediterranean Diet Score; Principal Component analysis; western diet; prudent diet

Online: 15 March 2018 (03:33:48 CET)

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Preprint REVIEW | doi:10.20944/preprints202009.0405.v1

Bacteria DNA Conjugation: from The Cellular to The Community Level

Chloé Virolle, Kelly Goldlust, Sarah Djermoun, Sarah Bigot, Christian Lesterlin

Subject: Biology And Life Sciences, Immunology And Microbiology Keywords: horizontal gene transfer; bacterial conjugation; phenotypic conversion; drug-resistance dissemination; bacterial biofilms; mobile plasmids; F plasmid

Online: 17 September 2020 (12:00:29 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202006.0204.v1

High Concentrations of Presepsin in the Bile and Its Marked Elevation in Biliary Tract Diseases: A Retrospective Analysis

Takashi Yamaguchi, Masahiro Ohira, Naoyuki Kawagoe, Shoko Nakamura, Shou Tanaka, Rena Oka, Yasuhiro Watanabe, Yuta Sato, Atsuhito Saiki, Yasuo Matsuzawa, Hideaki Bujo, Kensuke Terai, Nobuyuki Hiruta, Ichiro Tatsuno, Chiaki Nakaseko, Hidemasa Kikuchi, Katsuyoshi Matsuoka, Hiromitsu Yokota, Naomi Shimizu

Subject: Medicine And Pharmacology, Gastroenterology And Hepatology Keywords: Presepsin; Sepsis; Sequential Organ Failure Assessment (SOFA) score; alkaline phosphatase (ALP); Bile

Online: 16 June 2020 (09:43:45 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201808.0463.v1

Molecular Docking, Computational and Antithrombotic Studies of Novel 1,3,4-oxadiazole Derivatives

Majda Batool, Affifa Tajammal, Firdous Farhat, Francis Verpoort, Zafar A. K. Khattak, Mehr-un- Nisa, Muhammad Shahid, Hafiz Adnan Ahmed, Munawar Ali Munawar, Muhammad Zia ur. Rahman, Muhammad Asim Raza Basra

Subject: Chemistry And Materials Science, Medicinal Chemistry Keywords: Factor Xa ( F-Xa), Cardiovascular diseases (CD), Coronary heart disease (CHD), Tissue plasminogen activator (t-PA), Urokinase (UK), Streptokinase (SK), N,N-Dimethyl formamide (DMF)

Online: 27 August 2018 (14:54:10 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201711.0124.v1

NN-Harmonic Mean Aggregation Operators Based MCGDM Strategy in Neutrosophic Number Environment

Kalyan Mondal, Surapati Pramanik, Bibhas C. Giri, Florentin Smarandache

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: neutrosophic number; neutrosophic number harmonic mean operator (NNHMO); neutrosophic number weighted harmonic mean operator (NNWHMO); cosine function, score function; multi criteria group decision making

Online: 20 November 2017 (09:53:31 CET)

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Preprint ARTICLE | doi:10.20944/preprints201804.0039.v1

Examination of Multiband IFA for UHF and SHF Channel Applications

Erfan Rohadi, Amalia Amalia, Indrazno Siradjuddin, Ferdian Ronilaya, Rosa Andrie Asmara

Subject: Engineering, Electrical And Electronic Engineering Keywords: inverted F antenna; near field; radiation pattern; parasitic element; multiband

Online: 3 April 2018 (15:56:01 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201911.0113.v1

Effects of Machine Learning Approach in Flow Based Anomaly Detection on Software Defined Networking

Samrat Kumar Dey, Md. Mahbubur Rahman

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: software defined networking; random forest; gain ratio; gru-lstm; anova f-rfe; open flow controller; machine learning

Online: 10 November 2019 (14:27:32 CET)

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Preprint ARTICLE | doi:10.20944/preprints201812.0064.v1

Inchoative Discovery of Plausible (Un)explored Synergistic Combinatorial Biological Hypotheses for Static/Time Series Wnt Measurements via Ranking Search Engine : BioSearch Engine Design

Shriprakash Sinha

Subject: Biology And Life Sciences, Other Keywords: combinatorial search forest; sensitivity analysis; support vector ranking algorithm; unknown biological hypotheses; Wnt pathway; PORCN-WNT inhibitors; ETC-1922159; Sobol indices; Hilbert Schmidt independence criterion indices (HSIC); F-divergence (Fdiv); systems biology

Online: 5 December 2018 (07:52:17 CET)

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\textsc{Background} Often, in biology, we are faced with the problem of exploring relevant unknown biological hypotheses in the form of myriads of combination of factors that might be affecting the pathway under certain conditions. Currently, a major problem in biology is to cherry pick the combinations based on expert advice, literature survey or guesses for investigation. The search and wet lab testing of these combinations costs a lot in terms of time, investment and energy. In a recent development of the PORCN-WNT inhibitor ETC-1922159 for colorectal cancer, a list of down-regulated genes were recorded in a time buffer after the administration of the drug. The regulation of the genes were recorded individually but for a majority, it is still not known which higher ($\geq 2$) order combinations might be playing a greater role in the pathway. \textsc{Results} The pipeline provides a prioritised list of important $2^{nd}$ order combinations of a range of family of genes involved in the Wnt pathway. More specifically, it reveals the various unexplored FZD-WNT combinations that have been untested till now in the pathway. In relation to ETC-1922159 affected combinations, the down-regulation of LGR-RNF family after the drug treatment is evident in these rankings as it takes bottom priorities for LGR5-RNF43 combination. The LGR6-RNF43 takes higher ranking than LGR5-RNF43, indicating that it might not be playing a greater role as LGR5 during the Wnt enhancing signals. These rankings confirm the efficacy of the proposed search engine design. \textsc{Conclusion} A pipeline has been developed to prioritise an $n^{th}$ order combination of factors that affect a signaling pathway. It takes into account the sensitivity indices computed from variance based (SOBOL) and density-kernel based (HSIC) methods to estimate the influence of each factor or combination of factors. These are then fed as feature vectors into a powerful support vector ranking algorithm that produces a ranked list of the interactions/combinations.

Preprint ARTICLE | doi:10.20944/preprints201810.0171.v3

Clinical Relevance of Genome-Wide Polygenic Score may Be Less than Claimed

David Curtis

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: genome-wide polygenic score; coronary artery disease; AUC

Online: 6 December 2018 (07:06:32 CET)

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Preprint ARTICLE | doi:10.20944/preprints201811.0476.v1

Capability of Remotely Sensed Drought Indices for Representing the Spatio–Temporal Variations of the Meteorological Droughts in the Yellow River Basin

Fei Wang, Zongmin Wang, Haibo Yang, Yong Zhao, Zhenhong Li, Jiapeng Wu

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: remotely sensed drought indices (RSDIs); Standardized Precipitation Evapotranspiration Index (SPEI); meteorological drought; Skill Score (SS); Yellow River basin (YRB)

Online: 19 November 2018 (17:26:37 CET)

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Preprint ARTICLE | doi:10.20944/preprints201802.0107.v1

Formation of Fe- and Mg-Rich Smectite under Hyperalkaline Conditions at Narra in Palawan, Philippines

Misato Shimbashi, Tsutomu Sato, Naoki Fujii, Minoru Yamakawa, Tsubasa Otake

Subject: Environmental And Earth Sciences, Environmental Science Keywords: Fe- and Mg-rich smectite; alkaline; ophiolite; M-S-H; F-S-H; C-S-H; geological disposal; natural analogue; Mars

Online: 16 February 2018 (15:30:00 CET)

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Preprint ARTICLE | doi:10.20944/preprints202008.0539.v1

Communication Networks used by Smallholder Livestock Farmers in Disease Outbreaks: Case Study of the Free State, South Africa

Christopher Nwafor, Ifeoma Nwafor

Subject: Computer Science And Mathematics, Computer Networks And Communications Keywords: Correlation; Disease; Extension; Information-Score; Livestock; Perceived-Usefulness

Online: 25 August 2020 (05:01:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201806.0244.v1

Botulinum Neurotoxin F Subtypes Cleaving the VAMP-2 Q⁵⁸-K⁵⁹ Peptide Bond Exhibit Unique Catalytic Properties and Substrate Specificities

Stefan Sikorra, Martin Skiba, Martin B. Dorner, Jasmin Weisemann, Mirjam Weil, Sylvia Valdezate, Bazbek Davletov, Andreas Rummel, Brigitte G. Dorner, Thomas Binz

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: Clostridium botulinum; botulinum neurotoxin; serotype F; subtype; VAMP-2; synaptobrevin; Zn2+ protease

Online: 15 June 2018 (05:32:49 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201804.0351.v1

Smoking Topography among Korean Smokers: Intensive Smoking Behavior with Larger Puff Volume and Shorter Interpuff Interval

Sungroul Kim, Sol Yu

Subject: Public Health And Healthcare, Public, Environmental And Occupational Health Keywords: topography; cotinine; fagerstrom score; addiction

Online: 27 April 2018 (06:21:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201807.0398.v1

Trajectory of Type 2 Diabetes in Sepsis Outcome: Impacts of Diabetic Complication Burdens, Initial Glucose Level, and HbA1c: Population-Based Cohort Study Combining with Nationwide and Hospital-Based Database

Ming-Shun Hsieh, Sung-Yuan Hu, Chorng-Kuang How, Yi-Tzu Lee, Chen-June Seak, Vivian Chia-Rong Hsieh, Jen-Huai Chiang, Chiann-Yi Hsu, Sheng-Hsiang Ma, Pau-Chung Chen

Subject: Medicine And Pharmacology, Endocrinology And Metabolism Keywords: diabetes mellitus; sepsis; diabetes complication severity index score

Online: 22 July 2018 (10:54:29 CEST)

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Background Diabetic patients have an increased risk of infections; however, the association between type 2 diabetes and hospital outcomes of sepsis remains controversial when the diabetes severity is not considered. We examined this association using nationwide and hospital-based databases concomitantly. Methods The first part of this study was conducted using 2 nationwide databases: the Longitudinal Cohort of Diabetes Patients and the Longitudinal Health Insurance Database 2000. The diabetic complication burden was evaluated using the adapted Diabetes Complications Severity Index score (aDCSI score). In the second part, we used the hospital-based database with laboratory data, such as initial blood glucose and HbA1c levels, to make comparisons between surviving and dead patients with type 2 diabetes and sepsis. Results The nationwide study included 19,719 type 2 diabetic sepsis patients and an equal number of non-diabetic patients. The diabetic sepsis patients had an increased odds ratio (OR) of 1.14 (95% CI 1.1-1.19) for hospital mortality. The OR for mortality increased as the complication burden increased (diabetic sepsis patients with aDCSI scores of 0, 1, 2, 3, 4, and ≥5 had ORs of 0.91, 0.87, 1.14, 1.25, 1.56, and 1.77 for mortality, respectively (all P<0.001 and P for trend <0.001)). A total of 1,054 diabetic sepsis patients were included from the hospital-based database. Initial blood glucose levels in the surviving and dead diabetic sepsis patients did not differ significantly: 273.9 ± 180.3 versus 266.1 ± 200.2 (mg/dL) (P=0.095). Moreover, the surviving diabetic sepsis patients did not have a lower HbA1c (%): 8.4 ± 2.6 versus 8.0 ± 2.5 (P=0.078). Conclusions In the case of type 2 diabetic sepsis patients, the diabetes-related complication burden is the major determinant of hospital mortality rather than the diabetes itself. Contrary to popular belief, initial blood glucose and HbA1c levels may not be as important as previously thought.

Preprint ARTICLE | doi:10.20944/preprints201810.0073.v1

Classification for Liver Diseases Based on Ultrasound Image Texture Features

Sendren Sheng-Dong Xu, Chien-Tien Su, Chun-Chao Chang, Pham Quoc Phu

Subject: Medicine And Pharmacology, Other Keywords: Classification; F-score; Gray-Level Co-occurrence Matrix (GLCM); Gray-Level Run-Length Matrix (GLRLM); Hepatocellular Carcinoma (HCC); Liver Cancer; Liver Abscess; Image Texture, Sequential Backward Selection (SBS); Sequential Forward Selection (SFS); Support Vector Machine (SVM); Ultrasound Image.

Online: 4 October 2018 (14:01:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201804.0227.v1

Converting Ensemble Clustering Problem to a Mathematical Optimization Problem and Providing an Approach to Solve Based on Optimization Toolbox

Simintaj Salehpour, Hamid Parvin

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Ensemble clustering; cluster stability; F-measure; co-association matrix; genetic algorithm

Online: 17 April 2018 (15:58:22 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201810.0181.v1

A Democratic Method and Index to Rationalize Authorship Decisions and Determine the Order of Authors

Thorsten Schmidt

Subject: Social Sciences, Library And Information Sciences Keywords: Authorship contributions, Authorship Score, Authorship Conflicts, First Author, Decision Making, Bibliometry

Online: 9 October 2018 (09:45:12 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202205.0372.v1

Improvement in the Multiple Sclerosis Functional Composite Score by Multi-Function Swing Suspension Training Program

Sara Sepehri far, Banafsheh Amiri, Mansour Sahebozamani, Hossein Ali Ebrahimi

Subject: Medicine And Pharmacology, Orthopedics And Sports Medicine Keywords: Multiple sclerosis; Multiple Sclerosis Functional Composite Score; Multi-Function Swing Suspension Training

Online: 27 May 2022 (08:59:47 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202004.0354.v1

Comparative Analysis of Machine Learning Algorithms for Computer-Assisted Reporting Based on Fully Automated Cross-Lingual RadLex® Mappings

Máté E. Maros, Chang Gyu Cho, Andreas G. Junge, Benedikt Kämpgen, Victor Saase, Fabian Siegel, Frederik Trinkmann, Thomas Ganslandt, Holger Wenz

Subject: Medicine And Pharmacology, Other Keywords: machine learning; computer-assisted reporting; RadLex®; natural language processing; contextual reporting; The Alberta Stroke Programme Early CT Score (ASPECTS)

Online: 20 April 2020 (01:31:44 CEST)

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Objectives: Studies evaluating machine learning (ML) algorithms on cross-lingual RadLex® mappings for developing context-sensitive radiological reporting tools are lacking. Therefore, we investigated whether ML-based approaches can be utilized to assist radiologists in providing key imaging biomarkers – such as The Alberta stroke programme early CT score (APECTS). Material and Methods: A stratified random sample (age, gender, year) of CT reports (n=206) with suspected ischemic stroke was generated out of 3997 reports signed off between 2015-2019. Three independent, blinded readers assessed these reports and manually annotated clinico-radiologically relevant key features. The primary outcome was whether ASPECTS should have been provided (yes/no: 154/52). For all reports, both the findings and impressions underwent cross-lingual (German to English) RadLex®-mappings using natural language processing. Well-established ML-algorithms including classification trees, random forests, elastic net, support vector machines (SVMs) and boosted trees were evaluated in a 5 x 5-fold nested cross-validation framework. Further, a linear classifier (fastText) was directly fitted on the German reports. Ensemble learning was used to provide robust importance rankings of these ML-algorithms. Performance was evaluated using derivates of the confusion matrix and metrics of calibration including AUC, brier score and log loss as well as visually by calibration plots. Results: On this imbalanced classification task SVMs showed the highest accuracies both on human-extracted- (87%) and fully automated RadLex® features (findings: 82.5%; impressions: 85.4%). FastText without pre-trained language model showed the highest accuracy (89.3%) and AUC (92%) on the impressions. Ensemble learner revealed that boosted trees, fastText and SVMs are the most important ML-classifiers. Boosted trees fitted on the findings showed the best overall calibration curve. Conclusions: Contextual ML-based assistance suggesting ASPECTS while reporting neuroradiological emergencies is feasible, even if ML-models are restricted to be developed on limited and highly imbalanced data sets.

Preprint ARTICLE | doi:10.20944/preprints202306.1106.v1

An Explainable Vision Transformer Model Based White Blood Cells Classification and Localization

Oguzhan Katar, Ozal Yildirim

Subject: Engineering, Other Keywords: Vision Transformers; white blood cells; explainable AI models; deep learning; Score-CAM

Online: 15 June 2023 (08:42:51 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202008.0339.v1

Reconstructed f(R) Gravity and Its Csmological Consequences in Chameleon Scalar Field with A Scale Factor Describing The Pre-Bounce Ekpyrotic Contraction

Soumyodipta Karmakar, Kairat Myrzakulov, Surajit Chattopadhyay, Ratbay Myrzakulov

Subject: Physical Sciences, Particle And Field Physics Keywords: pre-bounce ekpyrotic contraction; f(R) gravity; reconstruction

Online: 15 August 2020 (06:15:05 CEST)

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Working Paper ARTICLE

Multi-Criteria Decision-Making Techniques for Solving the Airport Ground Handling Service Equipment Vendor Selection Problem

Peng Yen-Ting, Shen Chien-Wen, Tu Chang-Shu

Subject: Computer Science And Mathematics, Mathematics Keywords: equipment vendor selection; fuzzy TOPSIS; fuzzy weighted average left and right score; multi-choice goal programming; multi-aspiration goal programming

Online: 30 May 2019 (08:42:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202006.0295.v1

Veridical Causal Inference for Comparative Effectiveness Research Using Medical Claims

Ryan Ross, Xu Shi, Megan Caram, Pheobe Tsao, Paul Lin, Amy Bohnert, Min Zhang, Bhramar Mukherjee

Subject: Medicine And Pharmacology, Other Keywords: insurance claims; reproducibility; propensity score; veridical data science; sensitivity analysis

Online: 24 June 2020 (09:51:17 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202011.0294.v1

Comparative Analysis of the Mitochondrial Proteins Reveals Complex Structural and Functional Relationships in Fasciola Species

Hafiz Ishfaq Ahmad, Muhammad Bilal Bin Majeed, Muhammad Ijaz, Muhammad Zulfiqar Ahmad, Babar Maqbool, Khalid Mehmood, Hamid Mustafa, Chen Jinping

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: Cytochrome oxidase; NADH dehydrogenase; F. hepatica; F. gigantica; COX; CYTB

Online: 10 November 2020 (09:12:31 CET)

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Mitochondria is a cellular source of energy, playing an essential role in cellular stress induced by environmental stimuli. The genetic diversity of mitochondrial genes involved in oxidative phosphorylation affects the production of cellular energy and regional adaptation to various ecological (climatic) pressures influencing amino acid sequences (variants of protein). However, a little is known about the combined effect of protein changes on cell-level metabolic alterations in simultaneous exposure to various environmental conditions, including mitochondrial dysfunction and oxidative stress induction. Present study was designed to address this issue by analyzing the mitochondrial proteins in Fasciola species including Cytochrome C oxidase (COX1, COX2, COX3 and CYTB) and NADH dehydrogenase (ND1, ND2, ND3, ND4, ND5 and ND6). Mitochondrial proteins were used for a detailed computational investigation using available standard bioinformatics tools to explore structural and functional relationships. Our analysis shows that the mitochondrial protein family of Fasciola species are extensively diversified in all species studied, showing an extending role in various biological processes The results showed that the protein of COX1 of F. hepatica, F. gigantica and F. jacksoni consist of 510, 513 and 517 amino acids respectively. The alignment of proteins showed that these proteins are conserved in the same regions at ten positions in COX and CYTB proteins while at twelve locations in NADH. Three dimensional structure of COX, CYTB and NADH proteins were compared and the differences in additional conserved and binding sites in COX and CYTB proteins as compared to NADH were found in three Fasciola species. These results, based on the amino acid diversity pattern, were used to identify sites in the enzyme and the variations in mitochondrial proteins among Fasciola species. This study provides valuable information for future experimental studies including identification of therapeutics, diagnostics and immunoprophylactic interests with novel mitochondrial proteins.

Preprint ARTICLE | doi:10.20944/preprints202102.0485.v1

Relationship Between D-Dimer / Creatinine Ratio and Coronary Artery Disease Severity in Patients with ST-Segment Elevation Myocardial Infarction

Yipin Zhao, Huawei Wang, Zebin Lin, Yingying Ji, Qingwei Chen

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: Creatinine; D-dimer; D-dimer to creatinine ratio; Gensini score; ST-elevation myocardial infarction

Online: 22 February 2021 (15:25:02 CET)

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Preprint ARTICLE | doi:10.20944/preprints202110.0138.v1

Green Synthesis of Hexagonal Hematite (α-Fe2O3 ) Flakes Using Pluronic F127-Gelatin Template for Adsorption and Photodegradation of Ibuprofen

Maria Ulfa, Didik Prasetyoko, Hasliza Bahruji, Reva Edra Nugraha

Subject: Chemistry And Materials Science, Nanotechnology Keywords: α- Fe2O3; hematite; gelatin; f-127; hexagonal-flake; adsorption; ibuprofen

Online: 8 October 2021 (11:17:24 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202102.0258.v1

D-Dimensional f(R,φ) Gravity

Mostafa Bousder

Subject: Physical Sciences, Acoustics Keywords: f(R) gravity; gravity; Gauss-Bonnet gravity

Online: 10 February 2021 (12:59:54 CET)

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Preprint ARTICLE | doi:10.20944/preprints202111.0441.v1

The Moderating Role of CSR On the Antecedents And Out Come of Earnings Management in The Iraqi Firm

Mohammed Ghanim Ahmed, Yuvaraj Ganesan, Fathyah Hashim

Subject: Business, Economics And Management, Accounting And Taxation Keywords: board independence; audit committee; meeting frequency; M-score model

Online: 24 November 2021 (08:08:04 CET)

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Preprint ARTICLE | doi:10.20944/preprints202005.0077.v1

Knockdown of CENPF Inhibits the Progression of Lung Adenocarcinoma Mediated by ERβ2/5 Pathway

Hexiao Tang, Yuquan Bai, Lecai Xiong, Yanhong Wei, Weidong Hu, Ming Xu, Xuefeng Zhou, Gaofeng Pan, Li Zhang, Minglin Zhu, Zheng Tang, Zetian Yang, Xiao Zhou, Yi Cai, Michael Lanuti, Jinping Zhao

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: centromere protein F (CENPF); Estrogen Receptor beta; Lung Adenocarcinoma (LUAD); WGCNA package; non-small cell lung cancer (NSCLC)

Online: 5 May 2020 (12:08:59 CEST)

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Preprint REVIEW | doi:10.20944/preprints202101.0461.v1

Leucokinin and Associated Neuropeptides Regulate Multiple Aspects of Physiology and Behavior in Drosophila

Dick R. Nässel

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: Diuretic hormone; sleep, feeding; metabolism; ion transport peptide; tachykinin; short neuropeptide F; insulin-like peptide; neuromodulation

Online: 25 January 2021 (09:23:22 CET)

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Preprint ARTICLE | doi:10.20944/preprints201904.0253.v1

Why Triangular Membership Functions Are So Efficient in F-Transform Applications: A Global Explanation to Supplement the Existing Local One

Olga Kosheleva, Vladik Kreinovich, Thach Ngoc Nguyen

Subject: Computer Science And Mathematics, Computer Science Keywords: F-transform; triangular membership function; optimal global characteristics

Online: 23 April 2019 (11:01:56 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202112.0113.v1

Usefulness of Serial Multiorgan Point-of-Care Ultrasound in Acute Heart Failure: Results from a Prospective Observational Cohort

Marta Torres-Arrese, Gonzalo García de Casasola-Sánchez, Manuel Méndez-Bailón, Esther Montero-Hernández, Marta Cobo-Marcos, Mercedes Rivas-Lasarte, Luis Caurecel-Díaz, Pablo Rodríguez-Fuertes, Tomas Villén-Villegas, Yale Tung-Chen

Subject: Medicine And Pharmacology, Cardiac And Cardiovascular Systems Keywords: acute heart failure (AHF); venous congestion; Point-of-Care Ultrasound (POCUS); VExUS (venous excess ultrasonography score).

Online: 7 December 2021 (23:46:59 CET)

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Background and Objectives: Acute Heart Failure (AHF) is a common disease and a cause of high morbidity and mortality, constituting a major health problem. The main purpose of this study was to determine the impact of multiorgan ultrasound in identifying the pulmonary hypertension (PH) in patients admitted due to AHF, predict the evolution of the disease during hospitalization and identify areas of improvement in the care of patients with AHF. Materials and Methods: Patients were evaluated with a standard exam of lung ultrasound, echocardiography, inferior vena cava (IVC) and femoral, renal, hepatic, portal venous Doppler flow patterns at admission and on the day of discharge. Results: Thirty patients were enrolled during November 2021. The mean age was seventy-nine years (Standard Deviation – SD 13,4). Seven patients (23.3%) had a renal function worsening. Regarding ultrasound findings, venous excess ultrasonography score (VExUS) score was calculated at admission and at discharge, surprisingly remaining unchanged or even worsened in most of them (21 patients, 70.0%). The area under the curve for the Lung Score was 83.9% (p = 0.008), obtaining a cutoff value of 10 that showed a sensitivity of 82.6% and a specificity of 71.4% in the identification of intermediate and high PH. It was possible to monitor significant changes between both exams on the lung score (p <0.001), hepatic vein Doppler (p <0.001), portal vein Doppler (p = 0.030), intra-renal vein Doppler (p = 0.025) and VExUS score (p = 0.023), remaining similar the femoral vein Doppler (p = 0.177) and IVC (p = 0.132). Conclusions: Our study results suggest that performing serial multiorgan Point-of-Care ultrasound can help us to better identify high and intermediate probability of PH patients with AHF. Currently proposed multi-organ, venous Doppler scanning protocols, such as the VExUS score, should be further studied in different populations before expanding its use in AHF patients.

Preprint ARTICLE | doi:10.20944/preprints201912.0202.v1

Ultra-Wideband WDM Optical Network Optimization

Stanisław Kozdrowski, Mateusz Zotkiewicz, Slawomir Sujecki

Subject: Computer Science And Mathematics, Mathematics Keywords: ultra-wideband WDM system design; optical network optimization; CDC-F technology; optical node model; network congestion; linear programming (LP); integer programming (IP)

Online: 15 December 2019 (16:30:39 CET)

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Preprint CONCEPT PAPER | doi:10.20944/preprints202202.0114.v1

Why D-Mannose May Be as Efficient as Antibiotics in the Treatment of Acute Uncomplicated Lower Urinary Tract Infections Preliminary Considerations and Conclusions from a Non-interventional Study

Florian Wagenlehner, Horst Lorenz, Oda Ewald, Peter Gerke

Subject: Medicine And Pharmacology, Urology And Nephrology Keywords: urinary tract infection; cystitis; D-mannose; antibiotics; acute cystitis symptom score

Online: 8 February 2022 (13:25:24 CET)

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Preprint ARTICLE | doi:10.20944/preprints202101.0303.v1

Controlling Nutritional Status (CONUT) Score is a Prognostic Indicator for Patients with Hemorrhagic Stroke: Results from a 3-month Follow-up Study

Bei-lei Zhu, Yan-zhi Wu, Zhong-ming Cai, Cheng-wei Liao, Le-qiu Sun, Zhi-peng Liu, Hao-man Chen, Xue-rong Huang, Ren-qian Feng, Sheng-lie Ye, Qun-li Lin, Xu-dong Zhou, Man-man Zhang, Bo Yang

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: Controlling Nutritional Status Score; Hemorrhagic stroke; Nutrition screening; Prognosis; Modified Rankin Scale

Online: 15 January 2021 (16:08:15 CET)

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Preprint ARTICLE | doi:10.20944/preprints202012.0735.v1

Greek Version of the Acute Cystitis Symptom Score. Part I: Linguistic Validation

Konstantinos Stamatiou, Evangelia Samara, Jakhongir F. Alidjanov, Kurt G. Naber, Adrian Pilatz, Florian M. Wagenlehner

Subject: Medicine And Pharmacology, Urology And Nephrology Keywords: Greek language; translation; acute cystitis symptom score; ACSS; cystitis; urinary tract infection; female pa-tients; diagnosis; patient-reported outcome

Online: 29 December 2020 (15:40:33 CET)

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Preprint ARTICLE | doi:10.20944/preprints202012.0053.v1

Are Dietary Indices Associated with Polycystic Ovary Syndrome and Its Phenotypes? A Case-Control Study

Ana Cutillas-Tolín, Julian Arense-Gonzalo, Jaime Mendiola, Evdochia Adoamnei, Fuensanta Navarro-Lafuente, María Luísa Sanchez-Ferrer, Maria Teresa Prieto Sanchez, Ana Carmona-Barnosi, Jesus Vioque, Alberto M. Torres-Cantero

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: Polycystic Ovary Syndrome (PCOS); PCOS phenotypes; Rotterdam Criteria; hyperandrogenism; Mediterranean Diet Score (MDS); Alternate Healthy Index (AHEI); Alternate Healthy Index 2010 (AHEI-2010) and DASH index

Online: 2 December 2020 (09:29:48 CET)

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Preprint ARTICLE | doi:10.20944/preprints201811.0307.v1

Supplementing Dairy Ewes Grazing Low Quality Pastures with Plant-Derived Oils and Rumen-Protected EPA+DHA Pellets Improves Lactation Traits and Body Condition Score

Quang V. Nguyen, Hung V. Le, Don V. Nguyen, Peter Nish, John R. Otto, Bunmi S. Malau-Aduli, Peter D. Nichols, Aduli E.O. Malau-Aduli

Subject: Biology And Life Sciences, Animal Science, Veterinary Science And Zoology Keywords: PUFA; oils; body condition score; sheep milk composition; supplementation; canola; flaxseed; safflower; rice bran

Online: 13 November 2018 (10:05:15 CET)

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Preprint ARTICLE | doi:10.20944/preprints202107.0352.v1

Incidence, Spatial Pattern and Temporal Progress of Fusarium Wilt of Bananas

Daniel W. Heck, Miguel Dita, Emerson M. Del Ponte, Eduardo S. G. Mizubuti

Subject: Biology And Life Sciences, Anatomy And Physiology Keywords: Fusarium oxysporum f. sp. cubense; Panama disease; epidemiology; disease impact; loss; yield; management.

Online: 15 July 2021 (10:12:43 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201911.0298.v2

A Hierarchical Machine Learning Model to Discover Gleason Grade Group-specific Biomarkers in Prostate Cancer

Osama Hamzeh, Abedalrhman Alkhateeb, Julia Zheng, Srinath Kandalam, Crystal Lueng, Govindaraja Aikukke, Dora Cavallo-Medved, Nallasivam Palanisamy, Luis Rueda

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: classification; prostate cancer; gleason score; machine learning; next-generation sequencing

Online: 26 November 2019 (04:01:21 CET)

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1) Background: One of the most common cancer that affects men worldwide and North American men is prostate cancer. Gleason score is a pathological grading system to examine the potential aggressiveness of the disease in the prostate tissue. The advancement in computing and next-generation sequencing technology now allow us to study the genomic profiles of patients in association with their different Gleason score more accurately and effectively. 2) Methods: In this study, we used a novel machine learning method to analyze gene expression of prostate tumors with different Gleason scores, and identify potential genetic biomarkers for each Gleason group. We obtained a publicly-available RNA-Seq dataset of a cohort of 104 prostate cancer patients from the National Center for Biotechnology Information’s (NCBI) Gene Expression Omnibus (GEO) repository, and categorized patients based on their Gleason scores to create a hierarchy of disease progression. A hierarchical model with standard classifiers in different Gleason groups, also known as nodes, was developed to identify and predict nodes based on their mRNA or gene expression. In each node, patient samples were analyzed via class imbalance and hybrid feature selection techniques to build the prediction model. The outcome from analysis of each node is a set of genes that can differentiate each Gleason group from the remaining groups. To validate the proposed method, the set of identified genes are used to classify a second dataset of 499 prostate cancer patients collected from cBioportal [1]. 3) Results: The overall accuracy of applying this novel method to the first dataset was 93.3%, and further validated to 87% accuracy using the second dataset. This method also identified genes that were not previously reported as potential biomarkers for specific Gleason groups. In particular, PIAS3 was identified as a potential biomarker for Gleason score 4+3=7, and UBE2V2 for Gleason score 6. 4) Insight: Previous reports show that the genes predicted by this newly proposed method strongly correlate with prostate cancer development and progression. Furthermore, pathway analysis shows that both PIAS3 and UBE2V2 share similar protein interaction pathways, the JAK/STAT signaling process.

Preprint ARTICLE | doi:10.20944/preprints201911.0223.v1

Identification and Preference of Game Styles in LaLiga Associated with Match Outcomes

Julen Castellano Paulis, Miguel Pic

Subject: Social Sciences, Education Keywords: match analysis; team sport; key performance indicator; interaction; elite; score

Online: 19 November 2019 (03:57:36 CET)

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Preprint COMMUNICATION | doi:10.20944/preprints202007.0341.v1

The Appropriateness of Invasive Ventilation in COVID-19 Positive Cancer Patients: The Hardest Decision for Oncologists

Michele Ghidini, Alice Indini, Erika Rijavec, Claudia Bareggi, Monica Cattaneo, Barbara Galassi, Donatella Gambini, Francesco Grossi

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: COVID-19; invasive ventilation; cancer; ICU; ONCOVID-ICU; Milano Policlinico; SOFA score; ARDS

Online: 16 July 2020 (04:17:32 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202109.0155.v1

On Tribonacci Functions and Gaussian Tribonacci Functions

Yüksel Soykan, Melih Göcen, İnci Okumuş

Subject: Computer Science And Mathematics, Mathematics Keywords: Tribonacci numbers; Tribonacci functions; Gaussian Tribonacci functions; f-even functions

Online: 8 September 2021 (14:23:33 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.0339.v1

Genetic Mapping, Candidate Gene Identification and Marker Validation for Host Plant Resistance to the Race 4 of Fusarium oxysporum f. sp. cubense using Musa acuminata ssp. malaccensis

Andrew Chen, Jiaman Sun, Altus Viljoen, Diane Mostert, Yucong Xie, Leroy Mangila, Sheryl Bothma, Rebecca Lyons, Eva Hřibová, Pavla Christelová, Brigitte Uwimana, Delphine Amah, Stephen Pearce, Ning Chen, Jacqueline Batley, David Edwards, Jaroslav Doležel, Peter Crisp, Allan F. Brown, Guillaume Martin, Nabila Yahiaou, Angelique D’Hont, Lachlan Coin, Rony Swennen, Elizabeth A. B. Aitken

Subject: Biology And Life Sciences, Plant Sciences Keywords: Banana; fine mapping; quantitative trait locus; Musa acuminata ssp. malaccensis; Fusarium wilt; Fusarium oxysporum f. sp. cubense; Tropical Race 4; Subtropical Race 4; marker assisted selection; resistance gene expression; receptor-like kinase; RNAseq

Online: 5 May 2023 (09:51:49 CEST)

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Fusarium wilt of banana is a devastating disease that has decimated banana production worldwide. Host resistance to Fusarium oxysporum f. sp. cubense (Foc), the causal agent of this disease, is genetically dissected in this study using two Musa acuminata ssp. malaccensis segregating populations segregating for Foc Tropical (TR4) and Subtropical (STR4) race 4 resistance. Marker loci and trait association using 11 SNP-based PCR markers allowed the candidate region to be delimited to a 12.9 cM genetic interval corresponding to a 959 kb region on Chromosome 3 of ‘DH-Pahang’ reference assembly v4. Within this region, there is a cluster of pattern recognition receptors, namely leucine rich repeat ectodomain containing receptor-like protein kinases, cysteine-rich cell wall associated protein kinases, and leaf rust 10 disease-resistance locus receptor-like proteins positioned in an interspersed arrangement. Their transcript levels were rapidly upregulated in the resistant but not in susceptible F2 progenies at the onset of infection. This suggests that one or several of these genes may control resistance at this locus. To confirm the segregation of single-gene resistance, we generated an inter-cross between the resistant parent ‘Ma850’ and a susceptible line ‘Ma848’, to show that the STR4 resistance co-segregated with marker ‘28820’ at this locus. Finally, an informative SNP marker 29730 allowed the locus specific resistance to be assessed in a collection of diploid and polyploid banana plants. Out of the 60 lines screened, 22 lines were predicted to carry resistance at this locus, including lines known to be TR4 resistant, such as ‘Pahang’, ‘SH-3362’, ‘SH-3217’, ‘Ma-ITC0250’, and ‘DH-Pahang/CIRAD 930’. Additional screening in the International Institute for Tropical Agriculture’s collection suggests that the dominant allele is common among in the elite ‘Matooke’ NARITA hybrids, as well as in other triploid or tetraploid hybrids derived from East African highland bananas. Fine-mapping and candidate gene identification will allow characterization of molecular mechanisms underlying TR4 resistance. The markers developed in this study can now aid the marker-assisted selection of TR4 resistance in breeding programs around the world.

Preprint ARTICLE | doi:10.20944/preprints201810.0209.v1

Characterization of Microbiota in Bronchiectasis Patients with Different Disease Severities

Sang Hoon Lee, YeonJoo Lee, Jong Sun Park, Young-Jae Cho, Ho Il Yoon, Choon-Taek Lee, Jae Ho Lee

Subject: Biology And Life Sciences, Immunology And Microbiology Keywords: bronchiectasis; FACED score; microbiome

Online: 10 October 2018 (08:14:24 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202205.0094.v1

A Randomized, Placebo Controlled, Double Blinded, Parallel Group Clinical Study to Evaluate the Efficacy and Safety of AEV01 for Mild COVID19 in Elderly Patients at Risk of Complications

RAMESH KANNAN, VANITHA MURALIKUMAR, VAMSEEDHAR ANNAM, SAKTHI BALAN, ARAVINDA KUMAR, SEKHAR MM, RENU MEDASANI

Subject: Medicine And Pharmacology, Pharmacology And Toxicology Keywords: COVID-19; Picrorhiza kurroa; AEV01; NEW Score; Immunomodulatory; unvaccinated elderly population

Online: 7 May 2022 (05:47:32 CEST)

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Background: While several drugs are in the pipeline for treatment of various grades of COVID-19 disease, none of them have shown promise until now. Medicinal plants are crucial in developing and developed countries for their primary and basic health needs owing to better tolerability, superior compatibility with human body and having lesser side effects. AEV01 , a speciality extract of kutki (Picrorhiza kurroa), is one potential medicinal herb which can be effective for mild COVID19 in elderly patients at risk of complications and aging immunity. Purpose: The efficacy and safety of AEV01 for mild COVID-19 in elderly patients at risk of complications was investigated in this study. Study design: A prospective, phase 3, randomized, multicentric, placebo controlled double blinded parallel group interventional trial. Methods: This study was conducted in elderly patients diagnosed as COVID-19 with mild symptoms. 70 patients were randomized into two groups to receive AEV01 capsule (100mg) and placebo respectively thrice daily for 30 days along with standard care of treatment as per national WHO/ICMR guidelines. Clinical improvement timelines and corresponding scores using 8-point ordinal scale and NEWS were assessed for efficacy and safety of AEV01 in COVID-19 patients. Results: AEV01 group showed a significant improvement (P=0.0001) in the normalization of the SpO₂ rate and relief from cough. There was also significant difference in time to recovery, with patients in the AEV01 drugtreated group recovering in 4.5 days as compared to Placebo in 9.1 days. ESR, LDH, serum ferritin, Neutrophil-Lymphocyte ratio (NLR), TNF- alpha, IL-6 and CD4 cell counts, which are considered as prognostic markers in COVID19 infected patients, showed a significant improvement in patients treated with AEV01. The AEV01 drug treated group showed significant clinical improvement in the 8-point ordinal scale severity rating and NEW Score from day 3 onwards which continued up to end of study. Conclusion: AEV01 has shown a significant improvement in clinical and laboratory parameters. There was also reduction in the progression of the COVID-19 disease in unvaccinated elderly patients from mild to moderate when treated at an earlier stage.

Preprint ARTICLE | doi:10.20944/preprints201904.0258.v1

Why Fuzzy Partition in F-Transform?

Vladik Kreinovich, Olga Kosheleva, Songsak Sriboonchitta

Subject: Computer Science And Mathematics, Computer Science Keywords: F-transform; fuzzy partition; measurements; measurementuncertainty

Online: 23 April 2019 (13:02:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.0251.v1

Comprehensive Study of Thunderstorm Indices Threshold Favorable for Thunderstorms During Monsoon Season Using WRF-ARW Model and ERA5 Over India

Unashish Mondal, Anish Kumar, S. K. Panda, Devesh Sharma, Someshwar Das

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: Thunderstorm Indices; WRF-ARW; Lightning; Optimal Threshold; Model Skill Score

Online: 4 May 2023 (10:01:07 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202008.0724.v1

Gnotobiotic Evaluation of Dalbergia sissoo Genotypes for Resistance against Fusarium solani via Dual Culture Set up

Monika Chauhan, Ajay Thakur, Yashaswi Singh, M. Maqbool Rather, Nirmal S.K. Harsh

Subject: Biology And Life Sciences, Forestry Keywords: Shisham mortality; Fusarium solani f. sp. dalbergiae; in vitro screening; genetic variation; Fusarium wilt; plant-microbe interaction; gnotobiota

Online: 31 August 2020 (16:21:02 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202107.0559.v1

Comparative Analysis of Lenvatinib and Hepatic Arterial Infusion Chemotherapy in Unresectable Hepatocellular Carcinoma: A Multi-Center, Propensity Score Study

Jaejun Lee, Ji Won Han, Pil Soo Sung, Soon Kyu Lee, Hyun Yang, Hee Chul Nam, Sun Hong Yoo, Hae Lim Lee, Hee Yeon Kim, Sung Won Lee, Jung Hyun Kwon, Jeong Won Jang, Chang Wook Kim, Soon Woo Nam, Jung Suk Oh, Ho Jong Chun, Si Hyun Bae, Jong Young Choi, Seung Kew Yoon

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: Hepatocellular carcinoma; Lenvatinib; Hepatic arterial infusion chemotherapy; Propensity score matching

Online: 26 July 2021 (09:59:34 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202011.0055.v1

Bitcoin Analysis and Forecasting Through Fuzzy Transform

Maria Letizia Guerra, Laerte Sorini, Luciano Stefanini

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: F-transform; BITCOIN; Clustering; Sentiment Analysis

Online: 2 November 2020 (15:10:06 CET)

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Preprint REVIEW | doi:10.20944/preprints202012.0584.v1

Genetic and Environmental Factors Influence Pleomorphy of lRRK2 Parkinsonism

Vinita Ganesh Chittoor, Jeremy Nichols, Birgitt Schüle

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: Parkinson’s disease; parkinsonism; LRRK2; neuropathology; modifier; genetics; GWAS; environmental risk factors; polygenic risk score

Online: 23 December 2020 (10:49:22 CET)

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Preprint CONCEPT PAPER | doi:10.20944/preprints202111.0118.v1

Validating the Effects of Disruptive Technologies using Operational Breakeven Theory, Relative Solvency Ratio and Altman’s Z-score on Selected Firms in Nigeria and India

Enyi Patrick Enyi, Ayodeji Kofi Ajibade

Subject: Business, Economics And Management, Accounting And Taxation Keywords: Disruptive Technologies; Operational Breakeven; Altman’s Z-score; Enyi’s RSR; Going Concern; Market Induced Survival Ratio; Disruptive Technology Gains Index

Online: 5 November 2021 (11:31:53 CET)

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Preprint ARTICLE | doi:10.20944/preprints202302.0187.v1

Workload in the Care of a Patient with Congenital Diaphragmatic Hernia and the Patient’s Need for Nursing Care

Paulina Szydłowska-Pawlak, Dorota Maria Kilańska, Remigiusz Kozlowski, Roman Załuska, Monika Borzuchowska, Michał Marczak

Subject: Public Health And Healthcare, Nursing Keywords: nurse; workload; staff workload; nursing intensive care; nursing activities score

Online: 10 February 2023 (07:53:12 CET)

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Preprint ARTICLE | doi:10.20944/preprints202301.0448.v1

The Impact of Event Scale – Revised: Examining its cutoff scores among Arab psychiatric patients and healthy adults within the context of COVID-19 as a collective traumatic event

Amira M. Ali, Saeed Abdullah Al-Dossary, Abdulaziz Mofdy Almarwani, Maha Atout, Rasmieh Al-Amer, And Abdulmajeed A. Alkhamees

Subject: Social Sciences, Psychology Keywords: Impact of Event Scale-Revised (IES-R)/post-traumatic stress disorder (PTSD); cutoff point/cutoff score; psychiatric patients/the general public/healthy adults; psychometric evaluation/criterion validity; Coronavirus Disease-19/COVID-19; Arabic version/Arab/Saudi Arabia

Online: 25 January 2023 (05:02:13 CET)

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Preprint ARTICLE | doi:10.20944/preprints202011.0659.v1

Beyond Microcystins: Cyanobacterial Extracts Induce Cytoskeletal Alterations in Rice Root Cells

Dimitris Pappas, Manthos Panou, Ioannis-Dimosthenis S. Adamakis, Spyros Gkelis, Emmanuel Panteris

Subject: Biology And Life Sciences, Anatomy And Physiology Keywords: bioactive compounds; cyanobacteria; cytoskeleton; F-actin; microcystins; microtubules; Oryza sativa; oxidative stress; plant cell

Online: 26 November 2020 (09:52:01 CET)

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Preprint ARTICLE | doi:10.20944/preprints202011.0484.v1

Validation of the American English Version of The Acute Cystitis Symptom Score

Jakhongir F. Alidjanov, Kurt G. Naber, Adrian Pilatz, Florian M. Wagenlehner

Subject: Medicine And Pharmacology, Urology And Nephrology Keywords: Acute Cystitis Symptom Score; ACSS; cystitis; urinary tract infection; female patients; diagnosis; patient-reported outcome

Online: 18 November 2020 (16:35:23 CET)

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Preprint ARTICLE | doi:10.20944/preprints202110.0012.v1

Living Donor Liver Transplantation for Budd-Chiari Syndrome: A Propensity Score-Matched Analysis

Vasanthakumar Gunasekaran, Mettu Srinivas Reddy, Ashwin Rammohan, Naresh P Shanmugam, Deepashree Thirchunapalli, Rathnavel G Kanagavelu, Ilankumaran Kaliamoorthy, Mohamed Rela

Subject: Medicine And Pharmacology, Gastroenterology And Hepatology Keywords: Budd-Chiari syndrome; Living donor; Liver transplantation; Propensity score-Matched Analysis; Outcomes

Online: 1 October 2021 (11:52:48 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202102.0404.v1

Darknet Traffic Big-Data Analysis and Network Management to Real-Time Automating the Malicious Intent Detection Process by a Weight Agnostic Neural Networks Framework

Konstantinos Demertzis, Konstantinos Tsiknas, Dimitrios Takezis, Charalabos Skianis, Lazaros Iliadis

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: Darknet; Traffic Analysis; Network Management; Malicious Intent Detection; Weight Agnostic Neural Networks; Real-Time Forensics; Shapley Value; Power Predicting Score

Online: 18 February 2021 (09:56:34 CET)

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Preprint ARTICLE | doi:10.20944/preprints202304.0320.v1

Performance Analysis of Segmentation and Classification of CT scanned Ovarian Tumours using UNet and Deep Convolutional Neural Networks

Ashwini Kodipalli, Vaishnavi Gururaj, Shriya VR, Steven L Fernandes, Santosh Dasar

Subject: Computer Science And Mathematics, Mathematical And Computational Biology Keywords: Ovarian Tumours; UNet; Convolutional Neural Networks; VGG 16; DenseNet; ResNet; Dice score; Jaccard score

Online: 13 April 2023 (10:50:53 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202207.0305.v1

Polygenic Risk Score and Risk Factors for Gestational Diabetes

Marija Majda Perisic, Klemo Vladimir, Mario Storga, Ali Mostashari, Raya Khanin

Subject: Medicine And Pharmacology, Obstetrics And Gynaecology Keywords: gestational diabetes; pregnancy; polygenic risk score; gwas; machine learning

Online: 20 July 2022 (12:09:41 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202207.0361.v1

Combining Awake Anesthesia with Minimal Invasive Surgery Optimizes Intraoperative Surgical Spinal Cord Stimulation Lead Placement

Philippe Rigoard, Amine Ounajim, Lisa Goudman, Chantal Wood, Manuel Roulaud, Philippe Page, Bertille Lorgeoux, Sandrine Baron, Kevin Nivole, Mathilde Many, Emmanuel Cuny, Jimmy Voirin, Denys Fontaine, Sylvie Raoul, Patrick Mertens, Philippe Peruzzi, François Caire, Nadia Buisset, Romain David, Maarten Moens, Maxime Billot

Subject: Medicine And Pharmacology, Anesthesiology And Pain Medicine Keywords: PSPS; FBSS; SCS; surgical lead; SCS implantation; MAST (for Minimal Access Spine Technologies); TCIVA (for Target Controlled Intra-Veinous Anesthesia); composite score; pain mapping; neuropathic pain; chronic pain; quality of life; anesthesia; hypnosis

Online: 25 July 2022 (08:34:26 CEST)

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Preprint ESSAY | doi:10.20944/preprints202401.1453.v3

Goodbye H-index, Welcome C-score

Valenti Rull

Subject: Biology And Life Sciences, Other Keywords: h-index; c-score; individual evaluation; citation scores; first authorship; multiauthorship; scientific misconduct

Online: 24 January 2024 (07:32:45 CET)

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Preprint ARTICLE | doi:10.20944/preprints202005.0431.v2

Prediction of Postoperative Outcomes Following Hip Fracture Surgery: Independent Validation and Recalibration of the Nottingham Hip Fracture Score

William J. Doherty, Thomas A. Stubbs, Andrew Chaplin, Mike R. Reed, Avan A. Sayer, Miles D. Witham, Antony K. Sorial

Subject: Public Health And Healthcare, Physical Therapy, Sports Therapy And Rehabilitation Keywords: Hip fracture; Casemix; Validation; Discrimination; Risk score; Calibration

Online: 9 July 2020 (17:23:04 CEST)

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Objectives Independent validation of risk scores after hip fracture is uncommon, particularly for evaluation of outcomes other than death. We aimed to assess the Nottingham Hip Fracture Score (NHFS) for prediction of mortality, physical function, length of stay and postoperative complications. Design Analysis of routinely collected prospective data partly collected by follow-up interviews. Setting and Participants Consecutive hip fracture patients were identified from the Northumbria hip fracture database between 2014-2018. Patients were excluded if they were not surgically managed or if scores for predictive variables were missing. Methods C-statistics were calculated to test the discriminant ability of the NHFS, Abbreviated Mental Test Score (AMTS), and ASA grade for in-hospital, 30- and 120-day mortality, functional independence at discharge, 30-days and 120-days, length of stay, and postoperative complications. Results We analysed data from 3208 individuals, mean age 82.6 (SD 8.6). 2192 (70.9%) were female. 194 (6.3%) died during the first 30-days, 1686 (54.5%) were discharged to their own home, 211 (6.8%) had no mobility at 120-days, 141 (4.6%) experienced a postoperative complication. The median length of stay was 18 days (IQR 8-28). For mortality, c-statistics for the NHFS ranged from 0.68-0.69, similar to ASA and AMTS. For postoperative mobility, the c-statistics for the NHFS ranged from 0.74-0.83, similar to AMTS (0.61-0.82) and better than the ASA grade (0.68-0.71). Length of stay was significantly correlated with each score (p<0.001 by Jonckheere-Terpstra test); NHFS and AMTS showed inverted U-shaped relationships with length of stay. For postoperative complications, c-statistics for NHFS (0.54-0.59) were similar to ASA grade (0.53-0.61) and AMTS (0.50-0.58). Conclusions and Implications The NHFS performed consistently well in predicting functional outcomes, moderately in predicting mortality, but less well in predicting length of stay and complications. There remains room for improvement by adding further predictors such as measures of physical performance in future analyses.

Preprint ARTICLE | doi:10.20944/preprints202108.0545.v1

A Novel Multi-dimensional Clinical Response Index Dedicated to Improving Global Assessment of Pain in Patients with Persistent Spinal Pain Syndrome After Spinal Surgery, Based on a Real-life Prospective Multicentric Study (PREDIBACK) and Machine Learning

Philippe Rigoard, Amine Ounajim, Lisa Goudman, Pierre-Yves Louis, Yousri Slaoui, Manuel Roulaud, Nicolas Naiditch, Bénédicte Bouche, Philippe Page, Bertille Lorgeoux, Sandrine Baron, Elodie Charrier, Laure Poupin, Delphine Rannou, Géraldine Brumauld de Montgazon, Brigitte Roy-Moreau, Nelly Grimaud, Nihel Adjali, Kevin Nivole, Mathilde Many, Romain David, Chantal H. Wood, Raphael Rigoard, Maarten Moens, Maxime Billot

Subject: Medicine And Pharmacology, Anesthesiology And Pain Medicine Keywords: Composite score; Machine learning; PSPS; Failed Back Surgery Syndrome (FBSS); Chronic pain; Pain Intensity; Quality of Life; Pain Mapping; Pain Surface; Functional Capacity; Psychological Distress; Anxiety and Depression

Online: 30 August 2021 (13:04:51 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202104.0495.v1

Movement Analysis to Predict Broiler Walking Ability

Danilo Florentino Pereira, Irenilza de Alencar Nääs, Nilsa Duarte da Silva Lima

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: computing image analysis; gait score; unrest index

Online: 19 April 2021 (14:17:10 CEST)

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Working Paper ARTICLE

Methylation‐Based Reclassification of Bladder Cancer Based on Immune Cell Genes

Qizhan Luo, Thomas-Alexander Vögeli

Subject: Medicine And Pharmacology, Urology And Nephrology Keywords: Immune cell; DNA CpGs; Bladder cancer; Subtype; mutation; CNV; Immune score; Immune Checkpoints

Online: 5 September 2020 (06:00:06 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202108.0161.v1

Understanding the Nature of the Long–Range Memory Phenomenon in Socio–Economic Systems

Rytis Kazakevičius, Aleksejus Kononovicius, Bronislovas Kaulakys, Vygintas Gontis

Subject: Physical Sciences, Condensed Matter Physics Keywords: long–range memory; 1/f noise; absolute value estimator; anomalous diffusion; ARFIMA; first–passage times; fractional Lèvy stable motion; Higuchi’s method; Mean squared displacement; multiplicative point process

Online: 6 August 2021 (11:22:25 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202109.0108.v1

Clinical Validation of the Greek Version of the Acute Cystitis Symptom Score (ACSS). Part II

Konstantinos Stamatiou, Evangelia Samara, Jakhongir F. Alidjanov, Adrian M. E. Pilatz, Kurt G. Naber, Florian M. E. Wagenlehner

Subject: Medicine And Pharmacology, Urology And Nephrology Keywords: Acute Cystitis Symptom Score; cystitis; patient-reported outcome; questionnaire; women

Online: 6 September 2021 (17:02:05 CEST)

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Preprint BRIEF REPORT | doi:10.20944/preprints202105.0402.v2

I Can Achieve Intrauterine Growth Rete if You Give Me Enough Nutrition: Preterm Infant Born at ≤29 Weeks Gestation

Angela Hoyos

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: Very preterm infants; Z-score on weight; neonatal nutrition; appropriate intrauterine neonatal growth

Online: 30 July 2021 (15:00:25 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201912.0025.v1

Quantification of the Energy Storage Contribution to Security of Supply through the F-Factor methodology

Spyros Giannelos, Predrag Djapic, Danny Pudjianto, Goran Strbac

Subject: Engineering, Electrical And Electronic Engineering Keywords: f-factors; energy storage; investments in electricity systems; mathematical optimization; security of supply

Online: 3 December 2019 (11:52:19 CET)

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Preprint ARTICLE | doi:10.20944/preprints202310.0504.v1

Diversity and pathogenicity of Fusarium species associated with stalk and crown rot on maize in Northern Italy.

Martina Sanna, Ilaria Martino, Vladimiro Guarnaccia, Monica Mezzalama

Subject: Biology And Life Sciences, Agricultural Science And Agronomy Keywords: Zea mays L.; F. fujikuroi SC; F. nisikadoi SC; F. oxysporum SC; multi-locus sequence typing

Online: 9 October 2023 (14:58:10 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202010.0637.v1

Analysis of the Cost of Varying Levels of User Perceived Quality for Internet Access

Ali Adib Arnab, John Schormans, Sheikh Razibulhasan Raj, Nafi Ahmad

Subject: Computer Science And Mathematics, Computer Networks And Communications Keywords: Mean Opinion Score (MOS); Quality of Experience (QoE); bandwidth; bandwidth cost; Quality of Service (QoS)

Online: 30 October 2020 (12:55:01 CET)

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Preprint ARTICLE | doi:10.20944/preprints202110.0297.v1

A 15-DNA Repair Gene Prognostic Signature for Immunotherapy in Gastric Cancer

Binbin Yuan, Chengfei Jiang, Lingyan Chen, Jinlong Cui, Min Chen, Shu Zhang, Yimeng Cai, Jian-Hua Mao, Xiaoping Zou, Bo Hang, Pin Wang

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: gastric cancer; immunotherapy; immune checkpoint blockade (ICB); immune checkpoint inhibitors (ICI),; DNA repair gene signature (DRGS); prognostic biomarker; score system

Online: 20 October 2021 (22:47:19 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202110.0038.v1

Percutaneous Radiofrequency Ablation with or without Chemolipiodolization for Early-stage Hepatocellular Carcinoma: A Propensity Score-matched Analysis

Kota Takaki, Masahito Nakano, Kazuta Fukumori, Yoichi Yano, Yuki Zaizen, Takashi Niizeki, Kotaro Kuwaki, Masaru Fukahori, Takahiko Sakaue, Sohei Yoshimura, Mika Nakazaki, Takuji Torimura

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: hepatocellular carcinoma; percutaneous radiofrequency ablation; chemolipiodolization; risk factors; propensity score-matched analysis

Online: 4 October 2021 (10:19:37 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202109.0429.v1

Hepatic Arterial Infusion Chemotherapy with Cisplatin Versus Sorafenib for Intrahepatic Advanced Hepatocellular Carcinoma: A Propensity Score-Matched Analysis

Yuki Zaizen, Masahito Nakano, Kazuta Fukumori, Yoichi Yano, Kota Takaki, Takashi Niizeki, Kotaro Kuwaki, Masaru Fukahori, Takahiko Sakaue, Sohei Yoshimura, Mika Nakazaki, Ryoko Kuromatsu, Shusuke Okamura, Hideki Iwamoto, Shigeo Shimose, Tomotake Shirono, Yu Noda, Naoki Kamachi, Hironori Koga, Takuji Torimura

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: hepatocellular carcinoma; hepatic arterial infusion chemotherapy; cisplatin; sorafenib; multikinase inhibitors; risk factors; propensity score-matched analysis

Online: 24 September 2021 (12:38:25 CEST)

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Preprint BRIEF REPORT | doi:10.20944/preprints202209.0409.v1

Comparison of 0.12% Chlorhexidine and a New Bone Bioactive Liquid, BBL, Mouthrinses on Oral Wound Healing: A Randomized, Double Blind Clinical Human Trial

Eduard Ferrés-Amat, Ashraf Al Madhoun, Elvira Ferrés-Amat, Neus Carreo, Miguel Barrajas, Areej Said Al-Madhoun, Eduard Ferrés-Padró, Carles Marti, Maher Atari

Subject: Medicine And Pharmacology, Dentistry And Oral Surgery Keywords: chlorhexidine; bioactive liquid; oral wound healing; pain index score; early wound healing score

Online: 27 September 2022 (03:37:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202301.0314.v1

Relationships between Serum Interleukin-6, Radiographic Severity and WOMAC Index in Patients with Primary Knee Osteoarthritis

Shereen Elwan, Faisal Mohammed Hilal, Ahmed Bashawyah, Antonella Paladini, Nema Soliman, Martina Rekatsina, Abdallah El-Sayed Allam, Yu-Ting Tai, Jui-An Lin, Giustino Varrassi, Riham Ahmed

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: Interleukin-6; primary knee osteoarthritis; Visual analogue scale; Western Ontario and McMaster Universities Osteoarthritis Index; WOMAC; Kellegren-Lawrence score

Online: 18 January 2023 (01:58:20 CET)

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Preprint ARTICLE | doi:10.20944/preprints202209.0291.v1

Multidimensional Machine Learning on 2173 COVID-19 Patients in Vietnam

Tue Trong Nguyen *, Tu Cam Ho *, Huong Thi Thu Bui *, Ulrike Protzer, Van Thanh Ta

Subject: Biology And Life Sciences, Virology Keywords: COVID-19; Multidimensional Analysis; HCA; Hierarchical cluster analysis; regression analysis; mild; moderate; severe; Age; Score index of the chest X-ray; percentage and quantity of neutrophils; Albumin; C reactive protein; ratio of Lymphocytes

Online: 20 September 2022 (04:50:36 CEST)

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INTRODUCTION: The purpose of the study was to determine (a) the overall preclinical character; (b) the cumulative cutoff values and the risk ratio, and (c) the factors associated with severity by a unidimensional and multidimensional analysis on 2173 Sars-Cov2 patients. METHODS: The machine learning study population consisted of 2173 patients (1587 mild and non symptoms patients, 377 moderate patients, 209 severe patients). The status of the patients was recorded from September 2021 to March 2022. RESULTS: The Covid19 Severity directly links with a significant correlation to Age, Score index of the chest X-ray, percentage and quantity of neutrophils, Albumin, C reactive protein, and ratio of Lymphocytes. Their important cut off values (from regression analysis) respectively are: 77.56 years old (the mild-moderate group), 5.53 (the mild-moderate group) and 10.51 (the moderate-severe group), 84.80% (the mild-moderate group) and 87.74%(the moderate-severe group), 11.77G/L (the moderate-severe group), 29.73g/L (the moderate-severe group), 7.46mg/dL (the mild-moderate group), 6.32% (the moderate-severe group). Their significant (p<0.0001) R score correlation with the severity of Covid19, are: 0.44, 0.52 and 0.52, 0.33 and 0.44, 0.42, -0.43, 0.40, -0.41. Their significant risk ratio (p<0.00001) from the meta-analysis, respectively are: 4.19 [3.58-4.95], 3.29 [2.76-3.92] and 3.03 [2.4023;3.8314], 3.18 [2.73-3.70] and 3.32 [2.6480;4.1529], 3.15 [2.6153;3.8025], 3.4[2.91-3.97], 0.46 [0.3650;0.5752] (p<0.00001), 0.34 [0.2743;0.4210]. The pair ALT – Leucocytes and Transferrin – Anion Chloride get the most important correlation shift. ALT – Leucocytes show the important negative link (R=-1, p<0.00001) in the mild group to the significant positive correlation in the moderate group (R=1, p<0.00001). Transferrin–anion Chloride has an important positive association (R=1, p<0.00001) in the mild group with a significant negative correlation in the moderate group (R=-0.59, p<0.00001). The network map and HCA show that in the mild-moderate group, the closest neighbors with the Covid19 severity are ferritins, Age. Then there is C-reactive protein, SI of X-ray, Albumin, and Lactate dehydrogenase, which are the next close neighbors of these three factors. In the moderate-severe group, the closest neighbors with the Covid19 severity are Ferritin, Fibrinogen, Albumin, the quantity of Lymphocytes, SI of X-ray, white blood cells count, Lactate dehydrogenase, and quantity of neutrophils. CONCLUSIONS: Complete multidimensional study in 2173 Covid19 patients in Vietnam shows the whole picture of all the preclinical factors, which may become the clinical reference marker for surveillance and diagnostic management

Preprint ARTICLE | doi:10.20944/preprints202305.0783.v1

The Impact of COVID-19 on the Epidemiology and Outcomes of Candidemia: A Retrospective Study from a Tertiary Care Center in Lebanon

Aline El Zakhem, Omar Mahmoud, Johnny Zakhour, Sarah B. Nahhal, Nour El Ghawi, Nadine Omran, Walaa G. El Sheikh, Hani Tamim, Souha S. Kanj

Subject: Medicine And Pharmacology, Epidemiology And Infectious Diseases Keywords: Candida; Candidemia; invasive candidiasis; Candida auris; non-albicans candida; COVID-19; antifungal susceptibility; Lebanon; Arab world; EQUAL score

Online: 11 May 2023 (04:37:02 CEST)

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Invasive fungal infections, notably candidemia, have been associated with COVID-19. The epidemiology of candidemia has significantly changed during the COVID-19 pandemic. We aim to identify the microbiological profile, resistance rates, and outcomes of COVID-19 associated candidemia (CAC) compared to patients with candidemia not associated with COVID-19. We retrospectively collected data on patients with candidemia admitted to the American University of Beirut Medical Center between 2004 and 2022. We compared the epidemiology of candidemia during and prior to the COVID-19 pandemic. Additionally, we compared the outcomes of critically ill patients with CAC to those with candidemia without COVID-19 from March 2020 till March 2022. Among 245 candidemia episodes, 156 occurred prior to the pandemic and 89 during the pandemic. Of the latter, 39 (43.8%) were CAC, most of which (82%) were reported from intensive care units (ICU). Non-albicans Candida (NAC) spp. were predominant throughout the study period (67.7%). Candida auris infection was the most common cause of NAC spp. in CAC. C. glabrata had decreased susceptibility rates to fluconazole and caspofungin during the pandemic period (46.1% and 38.4% respectively). Mortality rate in the overall ICU population during the pandemic was 76.6%, much higher than the previously reported mortality of candidemia from previous studies at our center. There was no significant difference in 30-day mortality between CAC and non-CAC (75.0% vs 78.1%; P =0.76). Performing ophthalmic examination (P = 0.002), CVC removal during the 48 hours following the candidemia (P = 0.008) and identifying the Candida spp. (P = 0.028) were significantly associated with a lower case-fatality rate. The epidemiology of candidemia has been significantly affected by the COVID-19 pandemic at our center. Rigorous infection control measures and proper antifungal stewardship are essential to combat highly resistant species like C. auris.

Preprint ARTICLE | doi:10.20944/preprints202301.0086.v1

Determination of Treatment Efficacy of Lung Cancer using Diffusion-Weighted Whole Body Imaging with Background Suppression（DWIBS）Quantification Software (BD Score)

Yasuhiro Yamamoto, Tetsuya Numa, Kaori Matsuda, Yoshio Okazaki, Seiichirou Watanabe, Shin Kimoto, Takao Hiraki, Taro Takahara

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: diffusion-weighted whole body imaging with background suppression（DWIBS）; magnetic res-onance imaging (MRI); lung cancer; response evaluation criteria in solid tumors (RECIST); ap-parent diffusion coefficient (ADC); BD Score

Online: 5 January 2023 (01:43:25 CET)

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Preprint ARTICLE | doi:10.20944/preprints202211.0026.v1

Tracking Obesity Phenotypes in Korean Adults Based on KNHANES (2015-2019)

Jieun Shin, Okhyun Kim, Myoungsook Lee

Subject: Medicine And Pharmacology, Dietetics And Nutrition Keywords: obesity phenotypes, obesogenic environments, metabolic syndrome, K-score, food pattern

Online: 1 November 2022 (09:36:30 CET)

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Preprint ARTICLE | doi:10.20944/preprints202105.0289.v3

Internet Access and Nutritional Intake: Evidence from Rural China

Ping Xue, Xinru Han, Ehsan Elahi, Yinyu Zhao, Xiudong Wang

Subject: Business, Economics And Management, Economics Keywords: internet access; nutritional intake; rural China; propensity score matching

Online: 11 June 2021 (14:54:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.2269.v1

A Longitudinal Analysis of Cyber Adversarial Tactics and Techniques

Marshall S. Rich

Subject: Computer Science And Mathematics, Information Systems Keywords: Behavioral Analysis; Behavioral Score; Cybersecurity; Data Analytics; Geographic Analysis; Longitudinal Study; Model Recalibration; Network Anomaly Detection; Organizational Analysis; Threat Intelligence

Online: 30 June 2023 (16:16:04 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202004.0211.v1

Development and Validation of a Risk Score to Predict Low Birthweight Using Characteristics of the Mother: A Prospective Cohort Study

Hamid Y. Hassen, Bilal S. Endris, Meselech A. Roro, Seifu H. Gebreyesus, Jean-Pierre Van Geertruyden

Subject: Medicine And Pharmacology, Pediatrics, Perinatology And Child Health Keywords: prediction; model; risk score; low birthweight; pregnant women; decision curve analysis

Online: 13 April 2020 (11:15:32 CEST)

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