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Preprint ARTICLE | doi:10.20944/preprints202304.1034.v1

Stator ITSC Fault Diagnosis of EMU Asynchronous Traction Motor Based on ApFFT Time-shift Phase Difference Spectrum Correction and SVM

Jie Ma, Xiaodong Liu, Jisheng Hu, Jiyou Fei, Geng Zhao, Zhonghuan Zhu

Subject: Engineering, Electrical And Electronic Engineering Keywords: ITSC fault; traction motor; fault diagnosis; apFFT; SVM

Online: 27 April 2023 (04:29:04 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.0408.v1

Prevalence of Active Primitive Reflexes and Craniosacral Blocks in Apparently Healthy Children and Relationships With Neuro-Development Disturbances

Gema León-Bravo, Irene Cantarero-Carmona, Javier Caballero-Villarraso

Subject: Medicine And Pharmacology, Pediatrics, Perinatology And Child Health Keywords: primitive reflexes; craniosacral dysfunction; neurodevelopment; early diagnosis; screening

Online: 17 April 2023 (05:32:57 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202211.0044.v1

A Fusion-based AI Approach for Dry Eye Disease Diagnosis using Multiple Sources of Digital Ophthalmic Data: A Bibliographic Study

Han Wang, Lumin Xing

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Dry eye disease; Artificial Intelligence; diagnosis; bibliographic study

Online: 2 November 2022 (04:21:40 CET)

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Preprint COMMUNICATION | doi:10.20944/preprints202211.0016.v1

What Primary Care Practitioners Need to Know about the New NICE Guideline for Myalgic Encephalomyelitis/Chronic Fatigue Syndrome in Adults

Caroline Claire Kingdon, Adam Lowe, Charles Shepherd, Luis Nacul

Subject: Public Health And Healthcare, Primary Health Care Keywords: ME/CFS; ME; understanding; diagnosis; management; disabling; stigma

Online: 1 November 2022 (04:27:10 CET)

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Preprint ARTICLE | doi:10.20944/preprints202207.0348.v1

Identification of Changes In Rumination Behavior Registered With An Online Sensor System In Cows With Subclinical Mastitis

Ramūnas Antanaitis, Vida Juozaitienė, Dovilė Malašauskienė, Mindaugas Televičius, Mingaudas Urbutis, Arūnas Rutkauskas, Greta Šertvytytė, Walter Baumgartner

Subject: Biology And Life Sciences, Animal Science, Veterinary Science And Zoology Keywords: subclinical mastitis; rumination; activity; early diagnosis; precision agriculture

Online: 25 July 2022 (05:23:01 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202111.0246.v1

Cancer Diagnosis of Microscopic Biopsy Images Using Social Spider Optimization Tuned Neural Network

Prasanalakshmi Balaji, Kumarappan Chidambaram

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: biopsy; cancer diagnosis; predictive models; neural network; optimization

Online: 15 November 2021 (10:40:52 CET)

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Preprint REVIEW | doi:10.20944/preprints202108.0365.v1

Concern for Dirofilaria immitis and Macrocyclic Lactone Loss of Efficacy: Current Situation in the USA and Europe, and Future Scenarios

Anastasia Diakou, Roger K. Prichard

Subject: Medicine And Pharmacology, Veterinary Medicine Keywords: Dirofilaria immitis; macrocyclic lactones; resistance; diagnosis; treatment; prevention

Online: 17 August 2021 (14:13:15 CEST)

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Dirofilaria immitis infection is one of the most severe parasitic diseases of dogs. Prevention is achieved by the administration of drugs containing macrocyclic lactones (MLs). These products are very safe and highly effective, targeting the third and fourth larval stages (L3, L4) of the parasite. Until 2011, claims of ineffectiveness of MLs, reported as “Lack of Efficacy” (LOE), were generally attributed to owners’ non-compliance, or other reason for inadequate preventative coverage. There was solid argumentation that a resistance problem is not likely to occur because of i) the great extent of refugia, ii) the complexity of resistance development to MLs, and iii) the possible big number of genes involved in resistance selection. Nevertheless, today it is unequivocally proven that ML resistant D. immitis strains exist, at least in the Lower Mississippi region, USA. Accordingly, tools have been developed, to evaluate and confirm the susceptibility status of D. immitis strains. A simple, in-clinic, microfilariae suppression test, 14-28 days after ML administration, and a “decision tree” (algorithm), including compliance and preventatives’ purchase history, and testing gaps, may be applied for assessing any resistant nature of the parasite. On the molecular level, specific SNPs may be used as markers of ML resistance, offering a basis for validation of clinically suspected resistant strains. In Europe, no LOE/resistance claims have been reported so far, and the existing conditions (stray dogs, rich wildlife, majority of owned dogs not on preventive MLs treatment) do not favor selection pressure on the parasites. Considering the genetic basis of resistance and the epizootiological characteristics of D. immitis, ML resistance neither establishes easily nor spreads quickly, a fact confirmed by the current known dispersion of the problem, which is limited. Nevertheless, ML resistance may propagate from an initial geographical point, via animal and vector mobility, to other regions, while it can also emerge as an independent evolutionary process in a new area. For these reasons and considering the current chemoprophylaxis recommendations and increasing use of ML endectoparasiticides as a potential selection pressure, it is important to remain vigilant for timely detection of any ML LOE/resistance, in all continents where D. immitis is enzootic.

Preprint ARTICLE | doi:10.20944/preprints202107.0145.v1

Mouth Washing Impaired SARS-CoV-2 Detection in Saliva

Monique Melo Costa, Nicolas Benoit, Hervé Tissot-Dupont, Matthieu Million, Bruno Pradines, Samuel Granjeaud, Lionel Almeras

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: saliva; COVID-19 diagnosis; coronavirus; SARS-CoV-2

Online: 6 July 2021 (12:26:41 CEST)

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Preprint CASE REPORT | doi:10.20944/preprints202011.0386.v1

Personalised Therapeutic and Dietary Interventions as an Alternative Non-Invasive Management of Temporal Lobe Epilepsy

Elika Garg, Sandhya Koche, Saher Mehdi

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: Precision diagnosis; Personalised interventions; Temporal lobe epilepsy (TLE)

Online: 13 November 2020 (14:15:57 CET)

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Preprint ARTICLE | doi:10.20944/preprints202007.0650.v1

CNN-KCL: Automatic Myocarditis Diagnosis using Convolutional Neural Network Combined with K-means Clustering

Danial Sharifrazi, Roohallah Alizadehsani, Javad Hassannataj Joloudari, Shahab Shamshirband, Sadiq Hussain, Zahra Alizadeh Sani, Fereshteh Hasanzadeh, Afshin Shoaibi, Abdollah Dehzangi, Hamid Alinejad-Rokny

Subject: Computer Science And Mathematics, Computer Science Keywords: Myocarditis; Diagnosis; Convolutional Neural Network; Cardiac MRI; prediction

Online: 26 July 2020 (17:44:05 CEST)

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Preprint REVIEW | doi:10.20944/preprints202004.0372.v1

Pathogenesis, Diagnosis and Possible Therapeutic Options for COVID-19

Yusha Araf

Subject: Biology And Life Sciences, Virology Keywords: COVID-19; Diagnosis; Pathogenesis; Treatment; SARS-CoV-2

Online: 21 April 2020 (04:44:40 CEST)

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Preprint REVIEW | doi:10.20944/preprints201912.0002.v1

Point-of-Care Urine LAM Tests for Tuberculosis Diagnosis: A Mini-Review

Michelle A. Bulterys, Bradley Wagner, Maël Redard-Jacot, Anita Suresh, Nira R. Pollock, Emmanuel Moreau, Claudia M. Denkinger, Paul K. Drain, Tobias Broger

Subject: Medicine And Pharmacology, Pulmonary And Respiratory Medicine Keywords: tuberculosis (TB); diagnostics; lipoarabinomannan (LAM); urinary test; diagnosis

Online: 2 December 2019 (04:18:41 CET)

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Preprint ARTICLE | doi:10.20944/preprints201908.0061.v1

Prognosticating Mesothelioma Using Predictive Analytics

Avishek Choudhury

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: mesothelioma; predictive modeling; decision support system; early diagnosis

Online: 5 August 2019 (11:57:51 CEST)

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Background: Malignant pleural mesothelioma (MPM) is an atypical, belligerent tumor that matures into cancer in the pleura, a stratum of tissue bordering the lungs. Pleural mesothelioma is a common type of mesothelioma that accounts for about 75 percent of all mesothelioma diagnosed yearly in the United States. Diagnosis of mesothelioma takes several months and is expensive. Given the difficulty of diagnosing MPM, early identification is crucial for patient survival. Our study implements artificial intelligence and recommends the best fit model for early diagnosis and prognosis of MPM. Method: We retrospectively retrieved patient’s medical reports generated by Dicle University, Turkey and implemented multi-layered perceptron (MLP), voted perceptron (VP), Clojure classifier (CC), kernel logistic regression (KLR), stochastic gradient decent SGD), adaptive boosting (AdaBoost), Hoeffding tree (VFDT), and primal estimated sub-gradient solver for support vector machine (s-Pegasos). We evaluated the models, compared and tested using paired T-test (corrected) at 0.05 significance based on their respective classification accuracy, f-measure, precision, recall, root mean squared error, receivers characteristic curve (ROC), and precision-recall curve (PRC). Results: In phase-1 SGD, AdaBoost.M1, KLR, MLP, VFDT generates optimal results with the highest possible performance measures. In phase-2, AdaBoost with a classification accuracy of 71.29% outperformed all other algorithms. C-reactive protein, platelet count, duration of symptoms, gender, and pleural protein were found to be the most relevant predictors that can prognosticate mesothelioma. Conclusion: This study confirms that data obtained from biopsy and imagining tests are strong predictors of mesothelioma but are associated with high cost, however, can identify mesothelioma with optimal accuracy. Predictive analytics without using biopsy results can diagnose mesothelioma with acceptable accuracy. Implementation of phase-2 followed by phase-1 can address diagnosis expenses and maximize disease prognosis. Additionally, results indicate improved MPM diagnosis using AI methods dependent upon the specific application.

Preprint ARTICLE | doi:10.20944/preprints201903.0128.v1

An Updated Review on the Epidemiology, Pathophysiology, Etiology and Diagnosis of Liver Cirrhosis

Gee Young Geong, Sun Hyung Kang, Chang Min Lee

Subject: Medicine And Pharmacology, Gastroenterology And Hepatology Keywords: Liver cirrhosis; epidemiology; etiology; risk factors; pathophysiology; diagnosis.

Online: 11 March 2019 (09:44:18 CET)

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Preprint ARTICLE | doi:10.20944/preprints201810.0383.v1

Pathologic Complete Response (pCR) and Survival of Women with Inflammatory Breast Cancer (IBC): An Analysis Based on Biologic Subtypes and Demographic Characteristics

Tithi Biswas, Charulata Jindal, Timothy Fitzgerald, Jimmy Efird

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: Biologic subtypes; diagnosis; inflammatory breast cancer; pCR; survival

Online: 17 October 2018 (11:08:56 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201801.0102.v1

Research of Planetary Gear Fault Diagnosis Based on Permutation Entropy of CEEMDAN and ANFIS

Moshen Kuai, Gang Cheng, Yusong Pang, Yong Li

Subject: Engineering, Mechanical Engineering Keywords: Planetary gear; Fault diagnosis; CEEMDAN; Permutation entropy; ANFIS

Online: 11 January 2018 (11:54:12 CET)

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Working Paper ARTICLE

Cytomegalovirus-Associated Venous and Arterial Thrombotic Disease

Amar Kelkar, Brian Loc, Michael Tarantino, Anita Rajasekhar, Huaping Wang, Mona Kelkar, John Farrell

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: Acquired Coagulation Disorders; Arterial thrombosis; prophylaxis; diagnosis; and treatment; Infections in immunocompromised hosts; Viral Infection; Venous thromboembolism; prophylaxis; diagnosis; treatment

Online: 16 October 2020 (12:09:23 CEST)

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Preprint ARTICLE | doi:10.3390/sci2040061

A Hybrid Approach: Dynamic Diagnostic Rules for Sensor Systems in Industry 4.0 Generated by Online Hyperparameter Tuned Random Forest

Ahlam Mallak, Madjid Fathi

Subject: Engineering, Industrial And Manufacturing Engineering Keywords: industry4.0; fault detection; fault diagnosis; random forest; diagnostic graph; distributed diagnosis; model-based; data-driven; hybrid approach; hydraulic test rig

Online: 24 September 2020 (00:00:00 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202007.0548.v1

A Hybrid Approach: Dynamic Diagnostic Rules for Sensor Systems in Industry 4.0 Generated by Online Hyperparameter Tuned Random Forest

Ahlam Mallak, Madjid Fathi

Subject: Computer Science And Mathematics, Information Systems Keywords: industry4.0; fault detection; fault diagnosis; random forest; diagnostic graph; distributed diagnosis; model-based; data-driven; hybrid approach; hydraulic test rig

Online: 23 July 2020 (11:26:41 CEST)

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Preprint REVIEW | doi:10.20944/preprints202002.0325.v1

Noninvasive Biological Samples to Detect and Diagnose Infections due to Trypanosomatidae Parasites: A Systematic Review and Meta-Analysis

Denis Sereno, Mohammad Akhoundi, Kourosh Sayehmri, Asad Mizraei, Philippe Holzmuller, Veerle Lejon, Etienne Waleckx

Subject: Biology And Life Sciences, Parasitology Keywords: Leishmaniases; Chagas disease; Human African Trypanosomiasis; Animal trypanosomiasis; Diagnosis; non-invasive; Meta-analysis; Vector Born diseases; Neglected tropical disease; Diagnosis

Online: 23 February 2020 (13:44:05 CET)

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Unicellular eukaryotes of the Trypanosomatidae family include human and animal pathogens that belong to the Trypanosoma and Leishmania genera. Diagnosis of the diseases they caused requires the sampling of body fluids (blood, lymph, peritoneal fluid, cerebrospinal fluid, etc.) or organ biopsies (bone marrow, spleen, etc.), which are mostly obtained through invasive methods. Body fluids or appendages can be alternatives to these invasive biopsies but appropriateness remains poorly studied. To further address this question, we perform a systematic review on clues evidencing the presence of parasites, genetic material, antibodies, and antigens in body secretions, appendages, or the organs or proximal tissues that produce these materials. Paper selection was based on searches in PubMed, Web of Science, WorldWideScience, SciELO, Embase, Google. The information of each selected article (n=333) was classified into different sections and data were extracted from 77 papers. The presence of Trypanosomatidae parasites has been tracked in most of organs or proximal tissues that produce body secretions or appendages, in naturally or experimentally infected hosts. The meta-analysis highlights the paucity of studies on Human African Trypanosomiasis and a the absence on animal Trypanosomiasis. Among the collected data high heterogeneity in terms of the I² statistic (100%) is recorded. A high positivity is recorded for antibody and genetic material detection in urine of patients and dogs suffering leishmaniasis, and of antigen for leishmaniasis and Chagas disease. Data on conjunctival swab can be analyzed with molecular methods solely for dogs suffering canine visceral leishmaniasis. Saliva and hair/bristle showed a pretty good positivity that support their potential to be used for leishmaniasis diagnosis. In conclusion, our study pinpoints significant gaps that need to be filled in order to properly address the interest of body secretion and hair or bristle for the diagnosis of infections caused by Leishmania and by other Trypanosomatidae parasites.

Preprint ARTICLE | doi:10.20944/preprints202403.1075.v4

Diagnosis, Treatment and Long-Term Management of Vitamin B12 Deficiency in Adults: A Delphi Expert Consensus

Rima Obeid, Emmanuel Andrès, Richard Češka, Babak Hooshmand, Rosa-Maria Guéant-Rodriguez, Gabriel Ioan Prada, Jarosław Sławek, Latchezar Traykov, Binh Van Ta, Tamás Várkonyi, Karlheinz Reiners

Subject: Medicine And Pharmacology, Internal Medicine Keywords: Diagnosis; neuropathy; cognitive decline; anemia; treatment; vitamin B12 deficiency

Online: 9 April 2024 (10:26:45 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.0483.v1

Revolutionizing TB Diagnosis: Intelligent Microscopy and Image Recognition for Enhanced Acid-Fast Bacilli Detection

Wen-Chuan Chen, Yusen Eason Lin

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: TB smears; AI; machine learning; TB Diagnosis; STOP TB

Online: 8 April 2024 (10:26:06 CEST)

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Preprint REVIEW | doi:10.20944/preprints202402.1385.v1

Recent Advancement in Diagnosis of Biliary Tract Cancer through Pathological and Molecular Classifications

Sang-Hoon Lee, Si Young Song

Subject: Medicine And Pharmacology, Gastroenterology And Hepatology Keywords: Biliary tract cancer; cholangiocarcinoma; gallbladder cancer; diagnosis; precision medicine

Online: 23 February 2024 (14:58:36 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.0018.v1

First Report of the Emerging Pathogen Kodamaea ohmeri in Honduras

Bryan Ortiz, Roque López, Carlos Muñóz, Kateryn Aguilar, Fernando Pérez, Isis Laínez-Arteaga, Fernando Chávez, Celeste Galindo, Luis Rivera, Manuel G Ballesteros-Monrreal, Pablo Mendez-Pfeiffer, Dora Valencia, Gustavo Fontecha

Subject: Biology And Life Sciences, Immunology And Microbiology Keywords: Kodamaea ohmeri; Honduras; virulence; diagnosis; adhesion; macrophages

Online: 1 February 2024 (08:35:19 CET)

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Preprint ARTICLE | doi:10.20944/preprints202312.2225.v1

Phenotypic Characterization of Patients with Polycystic Ovary Syndrome in a Population from the Ecuadorian Andes: A Cross-Sectional Study

Maria Elena Espinosa, Raul Sánchez, Tamara Otzen, Estefanía Bautista-Valarezo, Stephanie Aguiar, Isabel Corrales-Gutierrez, Fatima Leon-Larios, Carlos Manterola

Subject: Medicine And Pharmacology, Obstetrics And Gynaecology Keywords: Polycystic Ovary Syndrome; Phenotype; Oligomenorrhea; Hirsutism; Clinical Diagnosis; Infertility

Online: 29 December 2023 (11:29:19 CET)

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Preprint ARTICLE | doi:10.20944/preprints202312.0153.v1

Survey of Veterinarians’ Experiences and Perceptions of the Diagnosis of Spironucleosis in Game Birds

Matthew Hylands, Natasha Hands, Michael Clark, Hany Elsheikha

Subject: Biology And Life Sciences, Parasitology Keywords: spironucleosis; spironucleus; hexamitosis; protozoan parasites; game birds; diagnosis; questionnaires

Online: 4 December 2023 (07:42:59 CET)

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Preprint REVIEW | doi:10.20944/preprints202311.0144.v1

Early Diagnosis of Lung Cancer: Critical Gaps in the Discovery of Biomarkers

Roberto Gasparri, Angela Sabalic, Lorenzo Spaggiari

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: Early diagnosis; lung cancer; biomarkers; body fluids; research management

Online: 2 November 2023 (09:32:59 CET)

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Preprint BRIEF REPORT | doi:10.20944/preprints202308.2023.v1

Brain Metastases from Breast Cancer Histologically Exhibit Solid Growth-Pattern with at Least Focal Comedonecrosis: A Histopathologic Study on a Monocentric Series of 30 Cases

Jessica Farina, Giuseppe Angelico, Giada Maria Vecchio, Lucia Salvatorelli, Gaetano Magro, Lidia Puzzo, Andrea Palicelli, Magda Zanelli, Roberto Altieri, Francesco Certo, Saveria Spadola, Maurizio Zizzo, Giuseppe Maria Vincenzo Barbagallo, Rosario Caltabiano, Giuseppe Broggi

Subject: Medicine And Pharmacology, Pathology And Pathobiology Keywords: brain metastasis; breast cancer; diagnosis; comedonecrosis; solid growth pattern

Online: 30 August 2023 (04:44:47 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.0739.v1

An Improved Fault Diagnosis Approach for Pumps Based on Neural Networks with Improved Adaptive Activation Function

Fangfang Zhang, Yebin Li, Dongri Shan, Yuanhong Liu, Fengying Ma

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Deep learning; fault diagnosis; adaptive activation function; pumping unit

Online: 9 August 2023 (07:22:09 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.1972.v1

Designing Effective Instructional Feedback Using Diagnostic and Visualization System: Evidence from a High School Biology Class

Lin Ma, Xuedi Zhang, Zhifeng Wang, Heng Luo

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: instructional feedback; feedback design; cognitive diagnosis; visualization; high school

Online: 28 June 2023 (09:47:08 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.1701.v1

Evaluating Sarcopenia Using Bioelectrical Impedance Vector Analysis and Phase Angle

Saizhao Tang, Fang Lin Jiang, Seon-Ho Eom, Jae-Young Lee, Ji Heon Chae, Chul-Hyun Kim

Subject: Public Health And Healthcare, Primary Health Care Keywords: bioelectrical impedance vector analysis; phase angle; aging; diagnosis; noninvasive

Online: 25 June 2023 (03:09:52 CEST)

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Sarcopenia becomes more common with age, being most prevalent among elderly individuals. According to the EWGSOP, muscle mass is one of the criteria for the evaluation of sarcopenia. The main methods for evaluating muscle mass are CT, MRI, and DXA, but these methods are difficult to apply in the field due to equipment costs, radioactivity, and lack of portability. BIVA and PhA are alternative approaches for assessing somatic cell mass and volume and do not require predictive equations. These variables are clinically relevant parameters that indicate cell health, especially cell membrane integrity and cell function. This study in sarcopenic and nonsarcopenic elderly volunteers aimed to determine the BIVA distribution pattern among individual sarcopenia patients; to evaluate the relationship between PhA and muscle strength, muscle quality, and physical function; and to find any correlates of PhA. The sample comprised 134 free-living elderly individuals of both sexes aged 69–91 years. Anthropometric parameters, grip strength, DXA findings, BIA results, and physical performance (the 6-meter walk test) were measured. Impedance vector distributions were evaluated in sarcopenia patients and healthy elderly individuals using BIVA. According to the AWGS criteria, sarcopenia was diagnosed according to DXA findings, grip strength and physical performance test results. Group differences were evaluated using the t test, Mann‒Whitney U test, and Hotelling's T2 test. Correlation analysis was performed to identify variables significantly associated with PhA. Linear regression analysis was performed to determine whether PhA was associated with muscle strength, muscle quality and physical function. BIVA detected a significant difference between the sarcopenia and non-sarcopenia groups (both sexes) due to higher R/H values and lower phase angles in a few individuals, whereas Xc/Ht values did not differ between the two groups. The sarcopenia group had a significantly lower PhA than the non-sarcopenia group among both males (p<0.01) and females (p<0.05). PhA was significantly correlated with age, ASM, HGS, and muscle quality in both sexes and significantly correlated with ASM/Ht2 and physical performance in males. PhA was a significant indicator of muscle strength in both males (β = 2.6; p<0.01) and females (β = 3.4; p<0.01), a significant indicator of muscle quality in both males (β = 0.07; p<0.05) and females (β = 0.17; p<0.01), and a significant indicator of physical performance in males (β = 0.3; p<0.01). BIVA can detect changes in muscle mass in individuals with sarcopenia and is a practical method for the assessment of sarcopenia in the field. PhA is a good indicator of muscle strength, muscle quality and physical performance (in males). These methods can help diagnose sarcopenia in elderly individuals with reduced mobility.

Preprint ARTICLE | doi:10.20944/preprints202305.0926.v1

An Organizational Diagnosis for Change Readiness: A Case of the Department of Special Education Government of Punjab

Sahib Khan, Muhammad Uzair Ul Hassan, Iram Parveen, Rozita Abdul Mutalib, Masood Ahmad Khan

Subject: Business, Economics And Management, Human Resources And Organizations Keywords: Organizational Diagnosis; Special Education; Readiness for change; Weisbord’s model

Online: 12 May 2023 (10:28:18 CEST)

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Preprint REVIEW | doi:10.20944/preprints202305.0298.v1

Expert Systems for Farmed Fish Disease Diagnosis: An Overview and a Proposal

Ioannis Hatzilygeroudis, Konstantinos Dimitropoulos, Konstantinos Kovas, John A. Theodorou

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: expert systems; aquaculture; fish health management; fish disease diagnosis

Online: 5 May 2023 (04:36:58 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.0224.v1

Evaluation of an Enzyme Immunoassay Technique on Detecting Urinary Histoplasma capsulatum Antigen in the Diagnosis of Disseminated Histoplasmosis in Argentina and Comparison With Blood Polymerase Chain Reaction and Conventional Methods

Emmanuel Marin, Fernando Messina, Mercedes Romero, Alicia Arechavala, Roxana Depardo, Gabriela Santiso

Subject: Medicine And Pharmacology, Epidemiology And Infectious Diseases Keywords: histoplasmosis; Histoplasma antigen; Histoplasma diagnosis; Blood culture; Latin America.

Online: 4 May 2023 (08:18:05 CEST)

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Preprint REVIEW | doi:10.20944/preprints202304.0916.v1

Diagnostic and Prognostic Roles of Procalcitonin and Other Markers in Pneumonia: A Literature Update

Sedat OZBAY, Mustafa AYAN, Ozgur Karcioglu

Subject: Medicine And Pharmacology, Emergency Medicine Keywords: pneumonia; bacteremia; sepsis; procalcitonin; diagnosis; biomarker; outcome; antibiotic stewardship

Online: 25 April 2023 (10:00:11 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.0128.v1

A Comparison of Signal Analysis Techniques for the Diagnostics of IMS Rolling Element Bearing Dataset

Diletta Sacerdoti, Matteo Strozzi, Cristian Secchi

Subject: Engineering, Mechanical Engineering Keywords: vibrations; condition monitoring; rolling element bearings; signals; fault diagnosis

Online: 7 April 2023 (13:13:47 CEST)

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Preprint CONCEPT PAPER | doi:10.20944/preprints202304.0108.v1

Towards a Biological Definition of Parkinson’s Disease

Günter U. Höglinger, Charles H. Adler, Daniela Berg, Christine Klein, Tiago F. Outeiro, Werner Poewe, Ronald Postuma, Jon Stoessl, Anthony E. Lang

Subject: Medicine And Pharmacology, Neuroscience And Neurology Keywords: Parkinson’s disease; genetics; α-synuclein; neurodegeneration; clinical manifestation; diagnosis

Online: 7 April 2023 (03:54:11 CEST)

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With the growing hope that disease-modifying treatments could target the molecular basis of neurodegenerative diseases even before the onset of symptoms, there is mounting pressure to define disease entities based on pathophysiology rather than on clinical syndromes. The Alzheimer’s disease research community has recently transitioned from diagnostic criteria based on an amnestic syndrome to a purely biomarker-based disease definition, relying on the demonstration of amyloid-beta pathology, tau pathology, and neurodegeneration. In contrast, current diagnostic criteria for Parkinson’s disease still rely on the presence of the well-described clinical syndrome of parkinsonism, with the addition of characteristic motor- and non-motor signs and symptoms. However, there is now unequivocal evidence that Parkinson’s disease starts years before the onset of parkinsonism. Furthermore, neuropathologically defined Lewy body disease is clinically heterogeneous, combining a range of motor, non-motor, dopaminergic and non-dopaminergic features. Finally, clinically defined Parkinson’s disease has diverse underlying etiologies most, but not all, associated with α-synuclein positive Lewy pathology. In light of recent scientific advances, we propose a biologically based definition for the diagnosis of Parkinson's disease, initially to be used for research purposes. The criteria use a three-component ‘G-S-N’ system. The first is documentation of defined gene variants (‘G’), which cause or strongly predispose to PD as the most upstream component. The second is α-synuclein pathology (‘S’), currently defined as pathological α-synuclein deposition in tissue or positive α-synuclein seeding assays. The third is evidence of underlying neurodegeneration (‘N’), currently defined by specific neuroimaging procedures. The associated clinical syndrome (‘C’) is defined by a single high-specificity feature or multiple lower-specificity features. Initiating this transition will enable the field to fuel both basic and clinical research and move closer to the precision medicine required to develop clinically meaningful disease-modifying therapies. We acknowledge current limitations, ethical implications, and the need for prospective validation of this approach.

Preprint ARTICLE | doi:10.20944/preprints202303.0109.v1

Clinical Diagnosis for Chikungunya Infection: An Essential Aid in a Primary Care Setting Where Serological Confirmation Is Not Available

Juan C. Rueda, Ingris Peláez-Ballestas, Jose-Ignacio Angarita, Ana M. Santos, Carlos Pinzon, Eugenia-Lucia Saldarriaga, Jorge M. Rueda, Elias Forero, Diego L. Saaibi, Paula X. Pavía, Marta Juliana Mantilla, Gustavo Rodríguez-Salas, Juan Camilo Santacruz, Igor Rueda, Mario H. Cardiel, John Londono

Subject: Biology And Life Sciences, Virology Keywords: Chikungunya virus; diagnosis; arbovirus infections; clinical decision making; Colombia

Online: 6 March 2023 (15:17:22 CET)

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Preprint REVIEW | doi:10.20944/preprints202208.0431.v1

Management of Bladder Cancer Patients with Clinical Evidence of Lymph Node Invasion (cN+)

Bartosz Małkiewicz, Adam Gurwin, Jakub Karwacki, Krystian Nagi, Klaudia Knecht-Gurwin, Krzysztof Hober, Magdalena Łyko, Kamil Kowalczyk, Wojciech Krajewski, Anna Kołodziej, Tomasz Szydełko

Subject: Medicine And Pharmacology, Urology And Nephrology Keywords: bladder cancer; clinically positive lymph nodes; diagnosis; treatment; lymphadenectomy

Online: 25 August 2022 (10:05:05 CEST)

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Preprint REVIEW | doi:10.20944/preprints202207.0224.v1

Recognizing and Distinguising the Phenomenon Referred to as Meningioma

Bruce M. Rothschild

Subject: Biology And Life Sciences, Neuroscience And Neurology Keywords: meningioma; hemangioma; cranial pathology; porotic hyperostosis; differential diagnosis; osteosarcoma

Online: 14 July 2022 (12:29:05 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202205.0213.v1

The Big Picture

Beth Alderman

Subject: Medicine And Pharmacology, Clinical Medicine Keywords: Toxicity; Diagnosis; Personal care; Patient encounter; Patient-based medicine

Online: 16 May 2022 (14:06:25 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202201.0309.v1

Desertification in Spain: A Sound Diagnosis Unfollowed by Solutions

Jaime Martínez-Valderrama, Gabriel del Barrio, Maria E. Sanjuán, Emilio Guirado, Fernando T. Maestre

Subject: Environmental And Earth Sciences, Environmental Science Keywords: combat desertification; diagnosis; socioeconomic factors; convergence of evidence; agriculture

Online: 20 January 2022 (14:36:32 CET)

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Preprint ARTICLE | doi:10.20944/preprints202112.0462.v1

Clinical Manifestation and Diagnostic Process of Celiac Disease in Poland – Comparison of Pediatric and Adult Patients in Retrospective Study

Emilia Majsiak, Magdalena Choina, Alastair M. Gray, Mariusz Wysokinski, Bożena Cukrowska

Subject: Medicine And Pharmacology, Gastroenterology And Hepatology Keywords: Celiac disease; diagnostic process; gluten free diet; delayed diagnosis

Online: 29 December 2021 (11:22:00 CET)

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Preprint ARTICLE | doi:10.20944/preprints202112.0387.v1

Early Malaria Diagnosis and Treatment Seeking Behavior Among Clients Attending Outpatient Department Sekou-Toure Regional Referral Hospital in Mwanza, Tanzania; A Cross-Sectional Study

Samson Mvandal, Godfrida Marandu

Subject: Social Sciences, Cognitive Science Keywords: Early diagnosis; behavior; illness; malaria; Mwanza; treatment-seeking; Tanzania

Online: 23 December 2021 (11:50:15 CET)

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Early diagnosis of malaria and treatment seeking behavior play key role in controlling and preventing further complication related to malaria disease. Aim of this study was to determine the responses on early malaria diagnosis and treatment seeking behavior among outpatient clients attending at Sekou toure regional referral hospital in Mwanza, Tanzania. Methods: A cross-sectional study was conducted among outpatient client at Sekou-Touré regional referral hospital, convenient simple random sampling used and self-administered questionnaire were used to collect data and data was entered into Microsoft excel and then exported to SPSS version 25.0 for further analysis and presented on the percentages and table. The analysis of strength of relationships between categorical variables was conducted using the Chi-square test. A p-value of ≤ 0.05 was considered to be statistically significant. Results: A total of 192 respondents completed the study with a response rate of 97.6%. The study revealed that Most of the respondents about 90.6% stated they would seek treatment from health facility when symptoms appear. However, only 6.3% seek treatment within 24 hours of onset of illness (p= 0.017). Half of respondents (50.5%) experienced malaria symptoms in the past six months and only 30% seek for treatment at health facility. Preference of health facility, (51%) respondents were going direct to pharmacy to buy medicine for self-treatment. Overall, cost of service, time consumed and distance of health facility especially health center shows significant with such delay. Conclusion: A low proportion of malaria-suspected patients sought treatment within 24 h of fever onset compared to the national target. Distance from the health facility, cost of service and time consumed were found to be predictors of early treatment-seeking behavior for malaria. Strengthening strategies tailored to increasing awareness for communities about malaria, importance of going hospital and early treatment-seeking behavior is essential.

Preprint REVIEW | doi:10.20944/preprints202110.0434.v1

The Importance of Screening for Early Detection of Ovarian Cancer: Epidemiological Review

Navneetha Hardikar

Subject: Medicine And Pharmacology, Obstetrics And Gynaecology Keywords: Ovarian Cancer; Epidemiology; Risk Factors; Screening; Diagnosis, Mortality; Incidence

Online: 28 October 2021 (11:41:05 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202109.0390.v1

COVID-19 Diagnosis by 5-second Facial Video Processing Using Vibraimage and Artificial Intelligence

Viktor Minkin, Valery Akimov

Subject: Biology And Life Sciences, Biophysics Keywords: COVID-19; vibraimage; behavioral parameters; diagnosis accuracy; ANN; AI

Online: 22 September 2021 (16:28:12 CEST)

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The Covid-19 pandemic spreads in waves for a year and a half, despite significant worldwide efforts, the development of biochemical diagnostic methods and population vaccination. One of the reasons for the infection spread is the impossibility of early disease detection through biochemical diagnostics, since biochemical processes slowly develop in a body. At the same time, well known that behavioral characteristics of a person, measured based on reflex movements, are capable for inertialess assessment of psychophysiological parameters. Vibraimage technology is the method of head micromovements video processing by inter-frame difference accumulation and converting spatial and temporal characteristics of the inter-frame difference into behavioral and psychophysiological parameters. Here we shown that behavioral parameters measured by vibraimage changed during COVID-19 infection. The identification of changes signs in behavioral parameters detected by AI trained on patients and controls. The best diagnostic accuracy (higher 94%) obtained using instantaneous values of behavioral parameters measured with the following vibraimage settings: 10Hz frequency of basic measurements; 25 inter-frame difference accumulations and averaging the diagnostic results over period of at least 5 seconds. COVID-19 diagnoses by behavioral parameters showed earlier (5-7 days) detection of the disease compared to symptoms and positive results of biochemical RT-PCR testing. Proposed method for COVID-19 diagnosis indicates infected persons within 5 seconds video processing using standard television cameras (web, IP) and computers, allows mass testing/selftesting and will stop the pandemic spread. We assume that head micromovements analysis for diagnosis of various diseases is possible not only with the help of vibraimage technology. Further research of human head micromovement analysis will help stop the COVID-19 pandemic and will contribute to the development of new contactless and environmentally friendly methods for early diagnosis of diseases.

Preprint REVIEW | doi:10.20944/preprints202108.0048.v1

New Metabolic and Genetic Biomarkers for Diagnosis of Ulcerative Colitis

Elena Emilia Tudoroniu, Mihaela Andreea Costache, Maria-Andreea Stancu, Anca Lucia Pop

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: ulcerative colitis; biomarkers; diagnosis; inflammatory bowel disease; Crohn’s disease

Online: 2 August 2021 (14:39:13 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202104.0573.v1

A Surgical Pen-Type Probe Design for Real-Time Optical Diagnosis of Tumor Status using 5-Aminolevulinic acid

Ki-Cheol Yoon, Kwang Gi Kim, Seung Hoon Lee

Subject: Engineering, Automotive Engineering Keywords: fluorescence microscopy; fluorescence emission, malignant tumor, diagnosis, animal experiment

Online: 21 April 2021 (11:47:14 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202104.0557.v1

Design of a Surgical Pen-Type Probe for Real-Time Diagnosis of Vascular Flow Using Indocyanine Green (ICG) Fluorescence Dye

Ki-Cheol Yoon, Kwang Gi Kim, Seung Hoon Lee

Subject: Engineering, Automotive Engineering Keywords: fluorescence microscopy; fluorescence emission; malignant tumor; diagnosis; animal experiment

Online: 21 April 2021 (08:30:11 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202103.0324.v1

Artificial Neural Network Analysis of Geo Database in Diagnosing Papillary Thyroid Carcinoma

zhoujing zhang, di xu, Ozioma Akakuru, wenjing xu, yewei zhang

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: Papillary thyroid carcinoma; bioinformatics analysis; artificial neural network; diagnosis

Online: 11 March 2021 (16:08:01 CET)

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Working Paper ARTICLE

Nursing Epidemiological Approach of Hypertension Management in a Public Health Service from the Northern Region of Portugal

Pedro Melo, Dário Miranda, Sandra Santos, Sérgio Sousa, Teresa Cardoso, Alexandra Pereira

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: public health nursing; epidemiological surveillance; nursing diagnosis; arterial hypertension

Online: 7 December 2020 (08:22:22 CET)

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Preprint COMMUNICATION | doi:10.20944/preprints202011.0298.v1

Emergence of the First Lumpy Skin Disease Outbreak Among Livestock in the Republic of Kazakhstan in 2016.

Arman Issimov, Nurkuisa Rametov, Kuandyk Zhugunissov, Lespek Kutumbetov, Assylbek Zhanabayev, Nurlybay Kazhgaliyev, Birzhan Nurgaliyev, Malik Shalmenov, Gaisa Absatirov, Laura Dushayeva, Aliya Akhmetaliyeva, Abzal Kereyev, Peter White

Subject: Biology And Life Sciences, Anatomy And Physiology Keywords: control measures; diagnosis; epidemiological data; Kazakhstan; lumpy skin disease

Online: 10 November 2020 (10:13:28 CET)

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Preprint ARTICLE | doi:10.20944/preprints202009.0450.v2

False-negative Molecular Diagnosis of SARS-CoV-2 in Samples with Amplification Inhibitors

Marcelo Fruehwirth, Açucena Veleh Rivas, Andressa Faria Rahyn Fitz, Aline Cristiane Cechinel Assing Batista, Cleypson Vinicius Silveira, Robson Michael Delai

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: COVID-19; rRT-PCR; dilution; viral diagnosis; RNA extraction

Online: 16 October 2020 (11:48:36 CEST)

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Preprint REVIEW | doi:10.20944/preprints202008.0516.v1

A Systematic Review on Coronavirus Disease 2019 (COVID-19)

Hira Karim, Muhammad Shahzeb Khan

Subject: Medicine And Pharmacology, Epidemiology And Infectious Diseases Keywords: Coronavirus, sequence homology, transmission, virology, diagnosis, virus control, vaccination.

Online: 24 August 2020 (09:31:38 CEST)

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Emerging and reemerging pathogens is a global challenge for public health. Recently, a novel coronavirus disease emerged in Wuhan, Hubei province of China, in December 2019. It is named COVID-19 by World Health Organization (WHO). It is known to be caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) that affects the lower respiratory tract and manifests as pneumonia in humans. Coronaviruses (CoVs) are structurally more complicated as compared to other RNA viruses. This viral epidemic has led to the deaths of many, including the elderly or those with chronic disease or compromised immunity. Viruses cause infection and diseases in humans of varying degrees, upper respiratory tract infections (URTIs) cause common cold while lower respiratory tract infections induce pneumonia, bronchitis, and even severe acute respiratory syndrome (SARS). The costs of COVID-19 are not limited. It equally affects all the medical, sociological, psychological, and economic aspects globally. This is regarded as the third deadly outbreak in the last two decades after Severe Acute Respiratory Syndrome SARS (2002–2003) and Middle East Respiratory Syndrome MERS (2012). Based on the sequence homology of SARS-CoV-2, different animal sources including bats, snakes, and pangolins have been reported as potential carriers of this viral strain. Real-time RT-PCR represents the primary method for the diagnosis of new emerging viral strain SARS-CoV-2. The transmission dynamics suggest that SARS-CoV-2 is transmitted from person-to-person through direct contact or coughing, sneezing, and by respiratory droplets. Several anti-viral treatments including lopinavir/ritonavir, remdesivir, chloroquine phosphate, and abidor are also suggested with different recommendations and prescriptions. Protective and preventive strategies as suggested by various health organization i.e. WHO and US Center for Disease Control and Prevention (CDC) must be adopted by everyone. This review covers the important aspects of novel COVID-19 including characteristics, virology, symptoms, diagnostics, clinical aspects, transmission dynamics, and protective measures of COVID-19.

Preprint ARTICLE | doi:10.20944/preprints201903.0250.v1

A Periodic Potential Underdamped Stochastic Resonance Method and Its Application for Gear Fault Diagnosis

Zhixing Li, Xiandong Liu, Tian He, Yingchun Shan

Subject: Engineering, Mechanical Engineering Keywords: fault diagnosis, stochastic resonance, periodic potential, underdamped, weak signal

Online: 27 March 2019 (08:49:38 CET)

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Preprint ARTICLE | doi:10.20944/preprints201811.0395.v1

Rapid Diagnosis of Capnocytophaga canimorsus Septic Shock in an Immunocompetent Individual Using Real-Time Nanopore Sequencing

Seweryn Bialasiewicz, Tania P.S. Duarte, Son H. Nguyen, Vichitra Sukumaran, Alexandra Stewart, Sally Appleton, Miranda E. Pitt, Arnold Bainomugisa, Amy V. Jennison, Rikki Graham, Lachlan J.M. Coin, Krispin Hajkowicz

Subject: Medicine And Pharmacology, Pathology And Pathobiology Keywords: nanopore sequencing; droplet digital PCR; Capnocytophaga canimorsus; diagnosis; sepsis

Online: 16 November 2018 (09:45:38 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/preprints201709.0124.v1

Evaluation of Electrical Tree Degradation in Cable Insulation using Weibull Process of Propagation Time

Donguk Jang, Seonghee Park

Subject: Engineering, Electrical And Electronic Engineering Keywords: partial discharge; Weibull distribution; XLPE cable; electric tree; diagnosis

Online: 25 September 2017 (16:47:35 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.0054.v1

Research on Fault Detection by Flow Sequence Algorithm with Deep Learning Model for Industrial Internet of Things

Dongfeng Lei, Liang Zhao, Dengfeng Chen

Subject: Engineering, Control And Systems Engineering Keywords: Industrial Internet of Things; Deep learning; Subsequence classification; Fault diagnosis

Online: 1 March 2024 (14:05:52 CET)

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Preprint REVIEW | doi:10.20944/preprints202401.2002.v1

Navigating the Complex Intersection of Substance Use and Psychiatric Disorders: A Comprehensive Review

Anees Bahji

Subject: Medicine And Pharmacology, Psychiatry And Mental Health Keywords: comorbidity; substance use disorders; psychiatric disorders; treatment interventions; dual diagnosis

Online: 29 January 2024 (12:52:26 CET)

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Preprint REVIEW | doi:10.20944/preprints202312.1825.v2

The Past, Present and Future in the Diagnosis of a Neglected Sexually Transmitted Infection: Trichomoniasis

Alexandra Ibáñez-Escribano, Juan José Nogal-Ruiz

Subject: Biology And Life Sciences, Parasitology Keywords: trichomoniasis; STI; wet mount; culture; diagnosis; NAAT; point-of-care

Online: 29 January 2024 (04:49:11 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.0758.v1

Correlation Between Tumor Differentiation and Biomarkers in Hepatocellular Carcinoma: Implications for Early Diagnosis and Treatment

Mr Tufael, Auditi kar, Vijay Jagdish Upadhye, Atiqur Rahman Sunny, Antonio Raposo, Md. Saidul Islam, Md Haroon Or Rashid, Mohammad Anowar Hussen, Heesup Han, Henrique Douglas Melo Coutinho, Md. Sefaul Ullah, Md. Mizanur Rahman

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: Hepatocellular carcinoma; Tumor markers; Chemiluminescence assay; Occupational exposure; Early diagnosis

Online: 10 January 2024 (05:44:27 CET)

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Preprint ARTICLE | doi:10.20944/preprints202306.0574.v2

Strategies of Screening and Treating Post-extubation Dysphagia: An Overview of the Situation in Greek-Cypriot ICUs

Meropi Mpouzika, Stelios Iordanou, Maria Kyranou, Katerina Iliopoulou, Stelios Parissopoulos, Maria Kalafati, Maria Karanikola, Elizabeth Papathanassoglou

Subject: Medicine And Pharmacology, Clinical Medicine Keywords: assessment; awareness; diagnosis; dysphagia; intensive care; management; screening; treatment; practices

Online: 21 December 2023 (09:11:40 CET)

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Preprint ARTICLE | doi:10.20944/preprints202312.1152.v1

A Technical Comparative Heart Disease Prediction Framework Using Boosting Ensemble Techniques

Najmu Nissa, Sanjay Jamwal, Mehdi Neshat

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Heart Disease; Diagnosis, Machine Learning; Boosting; Ensemble learning; Comparative framework

Online: 18 December 2023 (02:45:49 CET)

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Preprint ARTICLE | doi:10.20944/preprints202311.1753.v1

Power Transformers Fault Detection with Machine Learning: A Comparison of Classic and autoML Approaches

Guillermo Santamaría-Bonfil, G. Arroyo-Figueroa, M. Zuniga-Garcia, Carlos Gustavo Azcárraga Ramos, A. Bassam

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Transformers Fault Diagnosis; Machine Learning; Automatic Machine Learning; Power Systems

Online: 28 November 2023 (07:28:41 CET)

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Preprint ARTICLE | doi:10.20944/preprints202311.1387.v1

Artificial Intelligence-Assisted Detection of Osteoporotic Vertebral Fractures on Lateral Chest Radiographs in Post-menopausal Women

Jenna Silberstein, Cleo Wee, Ashu Gupta, Hannah Seymour, Switinder Singh Ghotra, Claudia Sa Dos Reis, Zhonghua Sun

Subject: Medicine And Pharmacology, Clinical Medicine Keywords: AI; spine fractures; diagnosis; thoracic X-ray; medical imaging; accuracy

Online: 22 November 2023 (08:46:51 CET)

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Post-menopausal women are at risk of osteoporotic vertebral fractures (OVFs), which if undetected and untreated, can lead to significant pain and morbidity. However, OVFs are often not reported by radiologists on routine chest radiographs. Artificial Intelligence (AI) is increasingly used in medical applications with improvements in detection and diagnosis. This study aims to investigate the clinical value of a newly developed AI tool, Ofeye 1.0 for automated detection of OVFs on lateral chest radiographs in post-menopausal women (>60 years) who were referred to undergo chest x-rays for other reasons. A total of 510 de-identified lateral chest radiographs from three clinical sites were retrieved and analysed by Ofeye1.0 tool. These images were then reviewed by a consultant radiologist to decide whether there is any fracture present or not with findings served as the reference standard for determining the diagnostic performance of the AI tool. The percentage of radiologist reports which included the OVF was analysed by comparing diagnostic reports with AI findings, while the accuracy, sensitivity, specificity, positive predictive value (PPV) and negative predictive values (NPV) of the AI tool were calculated. Out of all the original radiologist reports, missed OVFs were found in 14% images but were detected by the AI tool. The AI tool demonstrated a relatively high specificity 92.8% (95% CI: 89.6, 95.2%), moderate accuracy 80.3% (95% CI: 76,3, 80.4%), PPV 73.7% (95% CI: 65.2, 80.8%) and NPV 81.5% (95%CI: 79, 83.8%), but low sensitivity 49% (95%CI: 40.7, 57.3%). The high false negative results were mainly due to mild OVFs with <20% vertebral height loss. The new AI software tool has high specificity with a low false positive rate of 5.1%, showing that it can be used as a complimentary tool to the routine diagnostic reports for reduction of missed OVF in elderly women. The low sensitivity with high false negative rates indicate the necessity of radiologist’s in identifying and reporting early OVFs.

Preprint ARTICLE | doi:10.20944/preprints202310.1692.v1

Cardiovascular Disease Preliminary Diagnosis Application Using SQL Queries: Filling Diagnostic Gaps in Resource-Constrained Environments

Rafał Doniec, Eva Odima Berepiki, Natalia Piaseczna, Szymon Sieciński, Artur Piet, Muhammad Tausif Irshad, Ewaryst Tkacz, Tomasz Cedro, Abid Ali Fareedi, Stéphane Gagnon, Marcin Grzegorzek, Wojciech Glinkowski

Subject: Computer Science And Mathematics, Mathematical And Computational Biology Keywords: n/a; Ontology; Database; Cardiovascular Diseases; Diagnosis; Decision Support Systems

Online: 26 October 2023 (10:08:19 CEST)

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Preprint REVIEW | doi:10.20944/preprints202310.1583.v1

A Comprehensive Review on Therapeutic Potential of Nanobodies

Fatma Haddad, Ghadeer Dokmak, Shahla Kanwal, Rafik Karaman

Subject: Medicine And Pharmacology, Medicine And Pharmacology Keywords: nanobody; therapeutic nanobody; production; imaging; diagnosis; single-domain antibodies; VHHs

Online: 25 October 2023 (12:11:05 CEST)

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Preprint REVIEW | doi:10.20944/preprints202308.1777.v1

A Comprehensive Analysis of the Latest Automatic Applications of Artificial Intelligence in the Diagnosis of Cardiovascular Diseases

Carlos Polanco, Rosalinda Posadas-Sánchez, Gilberto Vargas-Alarcón

Subject: Public Health And Healthcare, Health Policy And Services Keywords: Artificial intelligence; cardiology; deep learning; diagnosis; machine learning; neural networks

Online: 28 August 2023 (10:28:41 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.0446.v1

Autoimmune Encephalitis – a variable pathology

Monica Neațu, Ana Jugurt, Anca Covaliu, Eugenia Irene Davidescu, Bogdan Ovidiu Popescu

Subject: Medicine And Pharmacology, Neuroscience And Neurology Keywords: autoimmune encephalitis; encephalitis symptoms; diagnosis autoimmune encephalitis; treatment autoimmune encephalitis

Online: 7 July 2023 (10:13:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.0293.v1

New Diagnostic and Prognostic Models for the Development of Alcoholic Cirrhosis Based on Genetic Predisposition and Alcohol History

Monica Mischitelli, Alessandra Spagnoli, Aurelio Abbatecola, Claudia Codazzo, Marta Giacomelli, Simona Parisse, Rosellina Margherita Mancina, Claudia Rotondo, Fabio Attilia, Stefano Ginanni Corradini, Flaminia Ferri

Subject: Medicine And Pharmacology, Gastroenterology And Hepatology Keywords: alcoholic liver disease,; cirrhosis diagnosis; cirrhosis prediction; genetics; HSD17B13; PNPLA3

Online: 5 July 2023 (11:54:29 CEST)

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Preprint REVIEW | doi:10.20944/preprints202307.0229.v1

The Unmet Diagnostic and Treatment Needs in Large Cell Neuroendocrine Carcinoma of the Lung

Catalin Buium, Serban Negru, Diana Ionescu, Mircea Dediu

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: large cell; neuroendocrine; lung cancer; pathology; molecular subtypes; diagnosis; treatment

Online: 4 July 2023 (12:28:53 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.0010.v1

Use of Biomarkers to Improve 28-Day Mortality Stratification in Patients with Sepsis and SOFA≤6

Jaume Baldirà, Juan Carlos Ruiz-Rodríguez, Adolfo Ruiz-Sanmartin, Luis Chiscano, Alejandro Cortés, Diego Angeles-Sistac, Roser Ferrer-Costa, Imma Comas, Yolanda Villena, M.Nieves Larrosa, Juan José González-López, Ricard Ferrer

Subject: Medicine And Pharmacology, Emergency Medicine Keywords: Sepsis biomarkers; mortality; MR-proADM; SOFA score; Lactate; molecular diagnosis

Online: 3 July 2023 (08:10:55 CEST)

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Preprint REVIEW | doi:10.20944/preprints202306.1909.v1

Diabetic Ketoacidosis in Children and Adolescents; Diagnostic and Therapeutic Pitfalls

Eirini Kostopoulou, Xenophon Sinopidis, Sotirios Fouzas, Despoina Gkentzi, Theodore Dassios, Stylianos Roupakias, Gabriel Dimitriou

Subject: Medicine And Pharmacology, Endocrinology And Metabolism Keywords: Diabetic ketoacidosis; type 1 diabetes mellitus; pitfalls; children; diagnosis; management

Online: 27 June 2023 (12:51:47 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1623.v1

Stator ITSC Fault Diagnosis for EMU Induction Traction Motor based on Goertzel Algorithm and Random Forest

Jie Ma, Yingxue Li, Liying Wang, Jisheng Hu, Hua Li, Jiyou Fei, Lin Li, Geng Zhao

Subject: Engineering, Electrical And Electronic Engineering Keywords: Goertzel algorithm; ITSC fault; traction motor; random forest; fault diagnosis

Online: 23 May 2023 (08:31:43 CEST)

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Preprint REVIEW | doi:10.20944/preprints202305.0036.v1

A Review of Transformer Fault Diagnosis Based on Information System Theory and Machine Learning

Xiaoli Huang, Yumiao Yuan, Jingyu Li

Subject: Computer Science And Mathematics, Computer Science Keywords: transformer fault diagnosis; information system theory; information entropy; machine learning

Online: 2 May 2023 (01:27:29 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202303.0492.v1

Prevalence of Malaria Parasitaemia and Associated Risk Factors Among Febrile Children Attending a Secondary Health Care Facility

JAMES A. NDAKO, Ogechukwu Y. Ozoadibe, Victor T. Dojumo, Iyanuoluwani J. Owolabi, Christy J. Ndako, Ogunmodede P. Tomisin, Remilekun M. Omoniy

Subject: Medicine And Pharmacology, Tropical Medicine Keywords: Malaria parasitaemia; Risk factors; Malaria Diagnosis; infectious mode in children

Online: 28 March 2023 (14:58:24 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202209.0229.v1

A Global Survey of Ethnic Indian Women Living with Polycystic Ovary Syndrome: Concerns, Diagnosis Experiences, Quality of Life, and Use of Treatment Methods

Vibhuti Rao, Stephanie Cowan, Mike Armour, Caroline A. Smith, Bobby Cheema, Lisa Moran, Siew Lim, Sabrina Gupta, Michael De Manincor, Vikram Sreedhar, Carolyn Ee

Subject: Medicine And Pharmacology, Obstetrics And Gynaecology Keywords: Polycystic Ovary Syndrome; PCOS; key concerns; diagnosis; Indian women; survey

Online: 15 September 2022 (10:37:49 CEST)

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Preprint REVIEW | doi:10.20944/preprints202108.0518.v2

Nucleic Acid Liquid Biopsies in Alzheimer’s Disease: Current State, Challenges, and Opportunities

Tabea M. Soelter, Jordan H. Whitlock, Avery S. Williams, Andrew A. Hardigan, Brittany N. Lasseigne

Subject: Medicine And Pharmacology, Neuroscience And Neurology Keywords: liquid biopsy; circulating biomarkers; Alzheimer’s disease; neurodegeneration; cell-free; diagnosis

Online: 8 March 2022 (09:56:01 CET)

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Preprint ARTICLE | doi:10.20944/preprints202109.0283.v1

Impact of Protracted Displacement on Delay in the Diagnosis Associated with Treatment Outcomes: A Cross-sectional Study in Internally Displaced Tuberculosis Patients of Pakistan

Faman Ullah Khan, Faiz Ullah Khan, Khezar Hayat, Jie Chang, Muhammad Kamran, Asad Khan, Usman Rashid Malik, Asif Khan, Yu Fang

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: Tuberculosis; Delay in diagnosis; Treatment outcomes; Internally displaced TB patients.

Online: 16 September 2021 (12:26:00 CEST)

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Preprint REVIEW | doi:10.20944/preprints202109.0149.v1

New Perspectives in Imaging of Uveal Melanoma

Malgorzata Solnik, Natalia Paduszynska, Anna M. Czarnecka, Kamil J. Synoradzki, Yacoub A. Yousef, Tomasz Choragiewicz, Robert Rejdak, Mario Damiano Toro, Katarzyna Dyndor, Michal Fiedorowicz

Subject: Medicine And Pharmacology, Ophthalmology Keywords: uveal melanoma; diagnosis; imaging; MRI; PET; CT; SPECT; OCT; ultrasonography

Online: 8 September 2021 (12:38:40 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202107.0604.v2

RT-qPCR Diagnostics: The “Drosten” Sars-Cov-2 Assay Paradigm

Stephen Bustin, Sara Kirvell, Jim F Huggett, Tania Nolan

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: COVID-19; reverse transcription; qPCR; SARS-CoV-2; molecular diagnosis

Online: 3 August 2021 (15:34:05 CEST)

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Preprint REVIEW | doi:10.20944/preprints202106.0285.v1

Quantitative Fluorescent Polymerase Chain Reaction for Prenatal Diagnosis and Its Application in Vietnam: A Literature Review

Thuan Phan

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: QF-PCR; cytogenetics; prenatal diagnosis; aneuploidy; chromosome abnormalities; screening test

Online: 10 June 2021 (09:17:57 CEST)

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Preprint REVIEW | doi:10.20944/preprints202105.0075.v1

Diagnosis of Schistosoma Infection in Non-Human Animal Hosts: A Systematic Review and Meta-Analysis

Song Liang, Keerati Ponpetch, Yi-Biao Zhou, Jia-Gang Guo, Berhanu Erko, J. Russell Stothard, M. Hassan Murad, Xiao-Nong Zhou, Fadjar Satrija, Joanne P. Webster, Justin Remais, Juerg Utzinger, Amadou Garba

Subject: Biology And Life Sciences, Immunology And Microbiology Keywords: Schistosomiasis; diagnosis; non-human hosts; surveillance; systematic review; meta-analysis

Online: 6 May 2021 (12:04:50 CEST)

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Preprint REVIEW | doi:10.20944/preprints202104.0750.v1

Pitfalls and Caveats in Applying Immunostaining to Histopathological Diagnosis

Yutaka Tsutsumi

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: Epitope retrieval; Fixation; Histopathological diagnosis; Immunostaining; Sensitivity; Specificity; Trouble-shooting

Online: 28 April 2021 (14:17:11 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202104.0409.v1

Atypical Clinical Presentation of Laryngopharyngeal Reflux: A 5-year Case-Series

Jerome R. Lechien, Stephane Hans, Francois Bobin, Christian Calvo-Henriquez, Sven Saussez, Petros D. Karkos

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: Reflux; Laryngopharyngeal; Clinical; Atypical; Nasal; Otological; Respiratory; Management; Treatment; Diagnosis

Online: 15 April 2021 (12:08:19 CEST)

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Background: Laryngopharyngeal reflux (LPR) is a common disease in otolaryngology characterized by an inflammatory reaction of the mucosa of the upper aerodigestive tract caused by digestive refluxate enzymes. LPR has been identified as etiological or favoring factor of laryngeal, oral, sinonasal or otological diseases. In this case-series, we reported atypical clinical presentation of LPR in patients presenting in our clinic with reflux. Methods: A retrospective medical chart review of 351 patients with LPR treated in the European Reflux Clinic in Brussels, Poitiers and Paris was performed. In order to be included, patients had to report atypical clinical presentation of LPR, consisting of symptoms or findings that are not described in reflux symptom score and reflux sign assessment. The LPR diagnosis was confirmed with 24-hour hypopharyngeal-esophageal impedance pH-study and patients were treated with a combination of diet, proton pump inhibitors and alginates. The atypical symptoms or findings had to be resolved from pre- to posttreatment Results: From 2017 to 2021, 21 patients with atypical LPR were treated in our center. The clinical presentation consisted of recurrent aphthosis or burning mouth (N=9), recurrent burps and abdominal disorders (N=2), posterior nasal obstruction (N=2), recurrent acute suppurative otitis media (N=2), severe vocal fold dysplasia (N=2), and recurrent acute rhinopharyngitis (N=1), tearing (N=1), aspirations (N=1) or tracheobronchitis (N=1). Abnormal upper aerodigestive tract reflux events were identified in all of these patients. Atypical clinical findings resolved and did not recur after an adequate anti-reflux treatment. Conclusion: LPR may present with various clinical presentations including mouth, eye, tracheobronchial, nasal or laryngeal findings, which may all regress with an adequate treatment. Future studies are needed to better specify the relationship between LPR and these atypical findings through analyses identifying gastroduodenal enzyme in the enflamed tissue.

Preprint REVIEW | doi:10.20944/preprints202011.0569.v1

Quantitative Imaging and Radiomics in Multiple Myeloma: opportunity or hype?

Alberto Stefano Tagliafico, Alida Dominietto, Liliana Belgioia, Cristina Campi, Daniela Schenone, Michele Piana

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: multiple myeloma; computed tomography; artificial intelligence; radiomics; prognosis; imaging; diagnosis

Online: 23 November 2020 (09:17:03 CET)

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Preprint REVIEW | doi:10.20944/preprints202010.0364.v1

Management of Laryngopharyngeal Reflux: A Practical Algorithm Management for Primary care Physicians

Jerome R Lechien, Sven Saussez, Vinciane Muls, Maria R Barillari, Carlos M. Chiesa-Estomba, Stephane Hans, Petros Karkos

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: Reflux; Laryngopharyngeal; Gastroesophageal; Primary Care; Physician; Mangement; General; Treatment; Diagnosis.

Online: 19 October 2020 (10:32:33 CEST)

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Working Paper CONCEPT PAPER

EUROPEAN ME NETWORK (EUROMENE) Expert Consensus on the Diagnosis, Service Provision and Care of People with ME/CFS in Europe

Luis Nacul, Fraçois Jérôme Authier, Carmen Scheibenbogen, Lorenzo Lorusso, Ingrid Helland, Jose Alegre Martin, Carmen Adella Sirbu, Anne Marit Mengshoel, Olli Polo, Uta Behrends, Henrik Nielsen, Patricia Grabowski, Slobodan Sekulic, Nuno Sepulveda., Fernando Esteves Lopez, Pawel Zalewski, Derek Pheby, Jesus Castro-Marrero, Giorgos K Sakkas, Jonas Bergquist, Enrica Capelli, Ivan Brandslund, John Cullinan, Angelika Krumina, Modra Murovska, Ruud Vermuelen, Eliana Lacerda

Subject: Medicine And Pharmacology, Neuroscience And Neurology Keywords: Myalgic Encephalomyelitis/Chronic Fatigue Syndrome; diagnosis; Health services; clinical care

Online: 16 October 2020 (08:58:18 CEST)

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Preprint REVIEW | doi:10.20944/preprints202009.0040.v1

Coronavirus (Covid-19) Pandemic: Outbreak, Current Scenario, and Impact on Human Physiology in Pakistan

Komal Jabeen, Muhammad Basit Husnain Haider, Zeshan Haider, Sultan Ali, Ali Hassan, Adnan Khan Niazi

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: Coronaviruses; COVID-19; Pakistan; current situation; human physiology; diagnosis; treatment

Online: 2 September 2020 (09:59:45 CEST)

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Preprint REVIEW | doi:10.20944/preprints202009.0013.v1

A Survey of Techniques Leveraging miRNA as Biomarkers for Generalized and Type Specific Cancer Diagnosis.

Abhik Banerjee, Shilpi Bose, Chandra Das

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: MicroRNA Expression; Feature Selection; Cancer Diagnosis; Fuzzy Logic; Co-Learning

Online: 1 September 2020 (11:42:35 CEST)

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Preprint REVIEW | doi:10.20944/preprints202009.0004.v1

Integrative Metabolomics to Identify Molecular Signatures of Responses to Vaccines and Infections

Joann Diray-Arce, Maria-Giulia Conti, Boryana Petrova, Naama Kanarek, Asimenia Angelidou, Ofer Levy

Subject: Biology And Life Sciences, Endocrinology And Metabolism Keywords: metabolomics; vaccines; infections; integrative metabolomics; systems biology; diagnosis; response detection

Online: 1 September 2020 (10:25:03 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202007.0124.v1

Data-driven Analytical Models of COVID-2019 for Epidemic Prediction, Clinical Diagnosis, Policy Effectiveness and Contact Tracing: A Survey

Ying Mao, Susiyan Jiang, Daniel Nametz

Subject: Medicine And Pharmacology, Pulmonary And Respiratory Medicine Keywords: COVID-19; Epidemic Prediction; Clinical Diagnosis; Policy Effectiveness; Contact Tracing

Online: 7 July 2020 (10:06:05 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202005.0493.v1

Diabetic Retinopathy Diagnostics from Retinal Images based on Deep Convolutional Networks

G. Arun Sampaul Thomas, Y. Harold Robinson, E. Golden Julie, Vimal Shanmuganathan, Yunyoung Nam, Seungmin Rho

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Convolutional Neural Networks; Dental Diagnosis; Image Recognition; Diabetic Retinopathy detection

Online: 31 May 2020 (18:55:43 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202005.0349.v1

A Robust Deep Learning-Based Fault Diagnosis Method for Rotating Machinery

Greg Smith, John Lundberg, Masayoshi Shibatani

Subject: Engineering, Mechanical Engineering Keywords: fault diagnosis; deep learning; domain adapta-tion; gearbox; current signal

Online: 22 May 2020 (05:37:13 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201911.0261.v1

Feature Selection Based on Robust LLE Vote and Its Application to Bearing Fault Diagnosis

Haishuang Yin, Zebiao Hu, Yuanhong Liu

Subject: Engineering, Control And Systems Engineering Keywords: feature selection; locally linear embedding; regularization technology; bearing fault diagnosis

Online: 22 November 2019 (10:05:03 CET)

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Preprint ARTICLE | doi:10.20944/preprints201809.0609.v1

Development of a Disaster Management Assessment Model Using Resilience Engineering Techniques and Infectious Disease Disaster Management Capacity Assessment

Donghyun Kim, Ji-Hee Lee

Subject: Engineering, Control And Systems Engineering Keywords: resilience engineering; disaster management; assessment model; capacity diagnosis; infectious disease

Online: 30 September 2018 (11:17:41 CEST)

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Safety management assessment systems for national level units’ in South Korea focus on responding capacity to cope with impending accident occurrence and danger occurrence. Since the four stage systems for prevention-preparation-response-recovery, which are core elements of national disaster management, assess the capacities by item such as those of individuals, disaster management departments, institutions, and management networks, there is no assessment function for the organic operation states of the entire systems. Therefore, for efficient disaster management, systematic evaluation indices that will enable active pre-checks in departments in organizations should be developed in place of the existing simply checking methods. In this study, an assessment model that will enable active disaster management centered on practice was developed using resilience engineering techniques. This model consists of disaster management items from the viewpoint of proactive responses instead of prevention. A total of 56 items that constitute four capacities; which are prediction (13 items), monitoring (14 items), proactive response (15 items), and safety learning (14 items) capacities were adopted in this model through Delphi analysis. Institutional capacities for infectious disease disaster management were evaluated based on this model and the resultant scores were prediction 4.41, monitoring 4.63, proactive response 4.69, safety learning 4.56 out of the full score of 5.0 points with an overall average of 4.51. This is an excellent capacity management score comparable to the score 4.57 of diagnosis of similar capacities by the WHO\_JEE (The Joint External Evaluation) in 2017. In fact, in 2015, when infectious disease capacity management was poor, in case of MERS (Middle East Respiratory Syndrome) infectious disease spread in South Korea, 36 patients died and 6,729 patients were isolated. However, through capacity reinforcement, in the case of MERS occurrence in South Korea in September 2018, a management capacity that prevented spread was shown as one confirmed case was completely cured in 10 days and 21 contacts were isolated and tested negative. Therefore, this capacity management assessment model is judged to be usable in enhancing disaster response and management capacities.

Preprint CASE REPORT | doi:10.20944/preprints201807.0358.v1

Energy Diagnosis of University Buildings: Renewable Energy Institute from UNAM

Oscar González, Miguel Morales, Carla Seefoó, David Morillón, Hugo Valdés

Subject: Engineering, Energy And Fuel Technology Keywords: energy diagnosis; energy efficiency; UNAM; IER; energy consumption and demand

Online: 19 July 2018 (11:36:57 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201804.0188.v1

A Fault Diagnosis Scheme of Gear Vibration Signal Based on Variational Mode Decomposition and Detrended Fluctuation Analysis

Sinian Hu, Han Xiao, Cancan Yi

Subject: Engineering, Mechanical Engineering Keywords: variational mode decomposition; detrended fluctuation analysis; heavy gearbox; fault diagnosis

Online: 16 April 2018 (05:35:21 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201801.0011.v1

Critical Nutrient Concentrations and DRIS Norms for Pinus patula

Agustina Sánchez-Parada, Miguel Ángel López-López, Armando Gómez-Guerrero, Marlín Pérez-Suárez

Subject: Biology And Life Sciences, Forestry Keywords: plant nutrition; chemical fertilization; nutrient diagnosis; forest plantation; foliar nutrients

Online: 2 January 2018 (10:25:46 CET)

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