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Preprint CONCEPT PAPER | doi:10.20944/preprints202004.0213.v1

Coronavirus ORF1ab Polyprotein Associated Nsp16 Protein is a RlmE Methyltransferase and May Methylate 21S Mitochondrial rRNA of Host Cells Inhibiting Protein Synthesis

Asit Kumar Chakraborty

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: covid-19; rlmE MTase; new drug target; corona diagnosis; corona pandemic

Online: 13 April 2020 (12:33:22 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/preprints202306.1636.v1

Clinical Decision Support Systems for brain tumour diagnosis and prognosis: a systematic review

Teesta Mukherjee, Omid Pournik, Sarah N. Lim Choi Keung, Theodoros N. Arvanitis

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: clinical decision support system; brain tumour; brain neoplasms; diagnosis; prognosis; systematic review

Online: 22 June 2023 (14:59:46 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202302.0418.v1

Multimodal Radiobioconjugates of Magnetic Nanoparticles Labeled with ⁴⁴Sc and ⁴⁷Sc for Theranostic Application

Perihan Unak, Volkan Yasakçı, Elif Tutun, K. Buşra Karatay, Rafał Walczak, Kamil Wawrowicz, Kinga Żelechowska-Matysiak, Agnieszka Majkowska-Pilip, Aleksander Bilewicz

Subject: Chemistry And Materials Science, Nanotechnology Keywords: SPION; multimodal nanoparticles; PET diagnosis; MRI; 44/47Sc; PSMA-617; prostate cancer

Online: 24 February 2023 (04:36:10 CET)

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Preprint ARTICLE | doi:10.20944/preprints201808.0130.v1

A New Structural Health Monitoring Strategy Based on PZT Sensors and Convolutional Neural Network

Mario A. de Oliveira, Andre V. Monteiro, Jozue Vieira Filho

Subject: Engineering, Mechanical Engineering Keywords: SHM; Electromechanical Impedance; Piezoelectricity; Intelligent Fault Diagnosis; Machine Learning; CNN; Deep Learning

Online: 6 August 2018 (21:51:53 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202311.0766.v1

Multiple Sclerosis Recognition by Wavelet Entropy and Self-adaptive PSO

Yangyang Hou

Subject: Medicine And Pharmacology, Neuroscience And Neurology Keywords: Alzheimer's disease; neural networks; Training and learning; early diagnosis; drug discovery; brain diseases

Online: 13 November 2023 (08:41:42 CET)

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Preprint ARTICLE | doi:10.20944/preprints202304.1140.v1

Research on Construction and Application of Aircraft Fault Knowledge Graphs

Xilang Tang, Guo Chi, Lijie Cui, Andrew W.H. Ip, Kai Leung Yung, Xiaoyue Xie

Subject: Engineering, Safety, Risk, Reliability And Quality Keywords: Aircraft fault diagnosis; knowledge graph; deep learning; fault knowledge extraction; question-answering system

Online: 28 April 2023 (08:00:31 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202402.0002.v1

Candida Variety in the Oral Cavity of Mexican Subjects with Type 2 Diabetes Mellitus and TLR2 Gene Expression

NADIA MABEL PEREZ VIELMA, MODESTO GÓMEZ LÓPEZ, MARÍA DE LOS ANGELES MARTÍNEZ GODÍNEZ, ANA LAURA LUNA TORRES, AARÓN DOMÍNGUEZ LÓPEZ, ANGEL MILIAR GARCÍA

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: Candida, type 2 diabetes mellitus, PAP stain, oral cavity, molecular diagnosis, TLR2

Online: 1 February 2024 (09:32:31 CET)

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Preprint ARTICLE | doi:10.20944/preprints202002.0392.v1

Open-Circuit Fault Diagnosis of Wind Power Converter Using Variational Mode Decomposition, Trend Feature Analysis and Deep Belief Network

Jingxuan Zhang, Hexu Sun, Zexian Sun, Yan Dong, Weichao Dong

Subject: Engineering, Electrical And Electronic Engineering Keywords: power converter; fault diagnosis; intelligent algorithm; variational mode decomposition; deep belief network

Online: 26 February 2020 (11:25:27 CET)

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Preprint ARTICLE | doi:10.20944/preprints202011.0009.v1

Pathological Test Type and Chemical Detection Using Deep Neural Networks: A Case Study Using ELISA and LFA Assays

Marzia Hoque Tania, M. Shamim Kaiser, Kamal J. Abu-Hassan, M A Hossain

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Computer Vision; Machine Learning; Colourimetric Test; Pre-trained Model; Point-of-Care System; Diagnosis

Online: 2 November 2020 (09:56:04 CET)

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Preprint ARTICLE | doi:10.20944/preprints202103.0616.v1

An Intelligent In-Shoe System for Real-Time Gait Monitoring and Analysis

Jiaen Wu, Kiran Kuruvithadam, Alessandro Schaer, Richie Stoneham, George Chatzipirpiridis, Chris Easthope Awai, Gill Barry, James Martin, Salvador Pané, Bradley J Nelson, Olgaç Ergeneman, Hamdi Torun

Subject: Engineering, Automotive Engineering Keywords: gait diagnosis; wearable device; graphical descriptor; real-time monitoring; tele-rehabilitation; digital biomarkers

Online: 25 March 2021 (13:52:03 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.1123.v1

The Complexity of Skeletal Transverse Dimension: From Diagnosis, Management, and Treatment Strategies to the Application of Collaborative Cross (CC) Mouse Model

Nezar Watted, Iqbal M Lone, Kareem Midlej, Osayd Zohud, Obaida Awadi, Samir Masarwa, Ali Watted, Eva Paddenberg, Sebastian Krohn, Christian Kirschneck, Peter Proff, Fuad A. Iraqi

Subject: Medicine And Pharmacology, Clinical Medicine Keywords: Skeletal Transverse Dimension; Diagnosis; management; treatment strategies; Collaborative Cross (CC) mouse model

Online: 15 January 2024 (10:58:39 CET)

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Static and functional occlusal relationships are the well-defined objectives of orthodontic therapy. To accomplish it, the jaws must be positioned in centric relation (CR)/ Central occlusion (CO) and appropriately proportioned in three space planes. Orthodontists have well-established techniques when analyzing the skeletal connection between the maxilla and mandible in both sagittal and vertical planes. Although there exist multiple analyses for the skeletal transverse dimension (STD), their inclusion in conventional orthodontic diagnosis is not widely acknowledged. Transverse tooth compensations have been visually represented in prosthodontic literature using a crosshatch arch that passes through the buccal and palatal cusps of maxillary molars, known as the Wilson curve. An inflated Wilson curve has long been seen as a prosthetic maxim, increasing the possibility of working and non-working side interferences. Research has indicated a connection between higher masticatory muscle activity and posterior occlusal contacts or interferences. When skeletal transverse issues are concealed by dental expansion, there is an elevated susceptibility to gingival recession in orthodontic patients who have a small Maxilla or constricted upper jaw. The temporomandibular joints, muscles, periodontal tissue, and airway might all suffer in a susceptible patient with a transverse insufficiency brought on by a narrow maxilla. As for orthodontists, the objective is to create skeletal connections and functional occlusion that are as near ideal as feasible. This will reduce the likelihood of occlusion-related inconsistencies exacerbating the negative consequences on the dentition, periodontium, or joints. An accurate skeletal and dental diagnostic in all three space planes is required. Our goal is to explain all approaches to enable readers to use a transverse skeletal diagnostic in their practice regardless of the technological level at their disposal. The initial step is to ascertain the kind and presence of deficiencies in the maxilla. Since fewer soft tissue alterations are caused by maxilla hypoplasia in the transverse direction, skeletal transverse dimension (STD) assessment is a more significant challenge than vertical or sagittal discrepancy assessment. Model analysis, clinical assessments, radiographic measurements, and occlusograms have all proven successful in producing accurate assessments. Most of the time, surgically assisted maxillary expansion (SARME) is reported to have higher stability than orthopedic maxillary expansion (OME). We examine and discourse on possible research opportunities using the Collaborative Cross (CC) mouse model as a substitute research model.

Preprint ARTICLE | doi:10.20944/preprints202005.0285.v1

Clinical, Laboratory, and Radiological Features Indicative of Novel Coronavirus Disease (COVID-19) in Emergency Departments – A Multicentre Case-Control Study in Hong Kong

Rex Pui Kin Lam, Kevin Kei Ching Hung, Eric Ho Yin Lau, Chun Tat Lui, Kin Ling Chan, Chin San Leung, Ion Wa Wong, Kin Wa Wong, Colin A. Graham, Patrick Chiu Yat Woo

Subject: Medicine And Pharmacology, Epidemiology And Infectious Diseases Keywords: COVID-19; SARS-CoV-2; emergency department; early diagnosis; case-control studies

Online: 17 May 2020 (08:27:12 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201910.0147.v1

Whole Genome Alignment Based Development of Molecular Marker for Detecting Leptosphaeria maculans and Leptosphaeria biglobosa, the Causal Agent of Blackleg Disease in Brassicas

Mostari Jahan Ferdous, Mohammad Rashed Hossain, Denison Michael Immanuel Jesse, Jong-In Park, Hee-Jeong Jung, Hoy-Taek Kim, Ill-Sup Nou

Subject: Biology And Life Sciences, Biology And Biotechnology Keywords: blackleg; brassica; diagnosis; effector; genome alignment; leptosphaeria biglobosa; leptosphaeria maculans; marker; PCR

Online: 13 October 2019 (16:08:55 CEST)

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Preprint REVIEW | doi:10.20944/preprints202307.2138.v1

Scrub Typhus: Epidemiology, Clinical Presentations, and Diagnostic Approaches

Ramendra Pati Pandey, M Beyau Konyak, Monika Soni, Shyamalima Saikia, Tochi Chang, Indrani Gogoi, Ibakmensi Khongstid, Mohan Sharma

Subject: Public Health And Healthcare, Public, Environmental And Occupational Health Keywords: Northeast India; scrub typhus; Orientia tsutsugamushi; clinical presentations; co-infections; diagnosis; genetic diversity; entomology

Online: 31 July 2023 (15:59:53 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.0101.v1

Coupling Fault Diagnosis Based on Dynamic Vertex Interpretable Graph Neural Network

Shenglong Wang, Bo Jing, Jinxin Pan, Xiangzhen Meng, Yifeng Huang, Xiaoxuan Jiao

Subject: Mechanical Engineering, Engineering Keywords: Coupling fault diagnosis; graph neural networks; interpretability; dynamic vertex

Online: 2 May 2024 (12:14:14 CEST)

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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 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/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 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 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 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/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/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/preprints202311.1903.v1

Redefining Peptide 14D: Substitutional Analysis for Accelerated TB Diagnosis and Enhanced Activity against Mycobacterium Tuberculosis

Kai Hilpert, Tulika Munshi, Paula M López-Pérez, Joana Sequeira-Garcia, Tim J Bull

Subject: Biology And Life Sciences, Immunology And Microbiology Keywords: antimicrobial peptide; Mycobacterium tuberculosis; Diagnosis; Spot synthesis; Substitution Analysis; TB; anti TB compound

Online: 29 November 2023 (15:19:12 CET)

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Preprint REVIEW | doi:10.20944/preprints202402.0606.v1

Advanced Diagnostic and Therapeutic Endoscopy for Early Gastric Cancer

Mitsuhiro Fujishiro

Subject: Medicine And Pharmacology, Gastroenterology And Hepatology Keywords: early gastric cancer; gastric cancer screening; endoscopic diagnosis; endoscopic mucosal resection; endoscopic submucosal dissection

Online: 12 February 2024 (08:10:42 CET)

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Preprint ARTICLE | doi:10.20944/preprints202312.1960.v1

The Diagnosis, Treatment, and Prevention of Glaucoma – An Update

Karen Allison, Kevin Andrew Morabito, Margaret M. DeAngelis, Deepkumar Patel

Subject: Medicine And Pharmacology, Ophthalmology Keywords: Glaucoma; epidemiology of glaucoma; open angle glaucoma; blindness; disparities in glaucoma treatment and diagnosis

Online: 28 December 2023 (02:26:28 CET)

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Preprint REVIEW | doi:10.20944/preprints202210.0313.v1

The Complex World of Emaraviruses – Challenges, Insights and Prospects

Marius Rehanek, David G. Karlin, Martina Bandte, Rim Al Kubrusli, Shaheen Nourinejhad Zarghani, Thierry Candresse, Carmen Büttner, Susanne Von Bargen

Subject: Biology And Life Sciences, Virology Keywords: diagnosis; distribution; emaraviruses; forest trees; Fimoviridae; genome organization; phylogenetic relations; protein domains; symptomatology; transmission

Online: 20 October 2022 (14:09:37 CEST)

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Preprint REVIEW | doi:10.20944/preprints202306.2252.v1

May Nutritional Status Positively Affect Disease Progression and Prognosis in Patients with Oesophageal and Pharyngeal Cancers? A Scoping Review of the Current Clinical Studies

Evmorfia Psara, Sousana K. Papadopoulou, Christina Tryfonos, Maria Tolia, Aimilia-Lynn Pandi, Maria Spanoudaki, Eleni Pavlidou, Nikolaos Tsoukalas, Maria Mentzelou, Constantinos Giaginis

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: nutritional assessment; oesophageal cancer; pharyngeal cancer; prognosis; survival; nutritional status; diagnosis; malnutrition; chemotherapy; radiotherapy

Online: 30 June 2023 (12:36:40 CEST)

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Background: Malnutrition in oesophageal and pharyngeal cancer patients constitutes a common and serious concern, which significantly reduces patients’ prognosis. Cancers of the oesophagus and the pharynx can considerably impair feeding in patients, resulting in severe undernutrition. This is a scoping review which aims to critically summarize and scrutinize the current clinical evidence on the use and prognostic role of diverse nutritional assessment tools on the prognosis of patients with oesophageal and pharyngeal cancers. Methods: PubMed, Scopus, Web of Science and Google Scholar databases were comprehensively explored utilizing relative keywords to detect clinical studies that investigate whether nutritional status may affect disease prognosis. Results: Several assessment tools have evaluated and highlighted the prognostic role of nutritional status on patients’ survival and disease complications in both oesophageal and pharyngeal cancers. Regarding oesophageal cancer, CONUT, PNI, PG-SGA and NRS-2002 are more commonly used, while albumin is also frequently evaluated. Regarding pharyngeal cancers, fewer studies are currently available. PNI has been evaluated and its significance as a factor for shorter overall survival, distant metastasis-free survival, progression-free survival, and locoregional recurrence-free has been highlighted. Comprehensive Nutritional Index has also been evaluated with positive results, as well as NRS 2002, GPS, and body weight status. However, there is currently a lack of studies with adequate female patients. There is also a significant lack of well-designed prospective studies with well-organized methodology. Conclusion: Nutritional status may significantly affect disease progression and patients’ survival, highlighting the importance of a good nutritional status in patients with oesophageal and pharyngeal cancers. Further large-scaled and well-designed prospective clinical studies are strongly recommended to verify the potential beneficial effects of nutritional status in patients with oesophageal and pharyngeal cancers.

Preprint REVIEW | doi:10.20944/preprints202310.0556.v1

Leukemia Cutis—the Current View on Pathogenesis, Diagnosis and Treatment

Ewa Robak, Marcin Braun, Tadeusz Robak

Subject: Medicine And Pharmacology, Hematology Keywords: acute leukemia; chronic leukemia; cutis; diagnosis; pathogenesis; prolympchocytic leukemia; Richter transformation; skin lesions; treatment

Online: 10 October 2023 (05:36:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202105.0315.v1

Fuzzy and Neural Network Approaches to Wind Turbine Fault Diagnosis

Saverio Farsoni, Silvio Simani, Paolo Castaldi

Subject: Engineering, Automotive Engineering Keywords: fuzzy systems; neural networks; fault diagnosis; data--driven approaces; robustness and reliability; wind turbine

Online: 13 May 2021 (17:39:44 CEST)

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The fault diagnosis of safety critical systems such as wind turbine installations includes extremely challenging aspects that motivate the research issues considered in this paper. In fact, the prompt detection and the reliable diagnosis of faults in their earlier occurrence represent the key point especially for offshore installations. For these plants, operation and maintenance procedures in harsh environments would inevitably increase the cost of the energy production. Therefore, this work investigates fault diagnosis solutions that are considered in a viable way and used as advanced techniques for condition monitoring of dynamic processes. To this end, the work proposes the design of fault diagnosis strategies that exploit the estimation of the fault by means of data--driven approaches. This solution leads to the development of effective methods allowing the management of partially unknown information of the system dynamics, while coping with measurement errors, the model--reality mismatch and other disturbance effects. In mode detail, the proposed data--driven methodologies exploit fuzzy systems and neural networks in order to estimate the nonlinear dynamic relations between the input and output measurements of the considered process and the faults. To this end, the fuzzy and neural network structures are integrated with auto--regressive with exogenous input descriptions, thus making them able to approximate unknown nonlinear dynamic functions with arbitrary degree of accuracy. Once these models are estimated from the input and output data measurement acquired from the considered dynamic process, the capabilities of their fault diagnosis capabilities are validated by using a high--fidelity benchmark that simulates the healthy and the faulty behaviour of a wind turbine system. Moreover, at this stage the benchmark is also useful to analyse the robustness and the reliability characteristics of the developed tools in the presence of model--reality mismatch and modelling error effects featured by the wind turbine simulator. On the other hand, a hardware--in--the--loop tool is finally implemented for testing and comparing the performance of the developed fault diagnosis strategies in a more realistic environment and with respect to different fault diagnosis approaches.

Preprint CASE REPORT | doi:10.20944/preprints202309.0305.v3

Mature Triphyllic Cystic Teratoma of the Posterior Mediastinum in a Fetus: A Case Report and Literature Review

Cecilia Salzillo, Andrea Quaranta, Giovanni De Biasi, Gerardo Cazzato, Gabriella Serio, Antonella Vimercati, Pierpaolo Nicolì, Leonardo Resta, Andrea Marzullo

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: mature triphyllic cystic teratoma; posterior mediastinum; fetal teratoma; germ cell tumor; prenatal diagnosis

Online: 18 September 2023 (07:14:56 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202312.2216.v1

Fermatean Fuzzy Versions of Tanimoto Similarity Measure and Distance Measure and Their Application to Decision-Making Processes

Hongpeng Wang, Caikuan Tuo, Guoye Feng, Chenglong Li

Subject: Computer Science And Mathematics, Mathematics Keywords: Fermatean fuzzy sets; similarity measures; distance measures; pattern recognition; medical diagnosis; multiple-attribute decision-making

Online: 29 December 2023 (11:56:34 CET)

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Preprint REVIEW | doi:10.20944/preprints202110.0135.v1

Convolutional Neural Networks in Computer-Aided Diagnosis of Colorectal Polyps and Cancer: A Review

Kamyab Keshtkar

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: convolutional neural networks (CNNs); deep learning; computer-aided diagnosis; colorectal polyps; colorectal cancer; colonoscopy

Online: 8 October 2021 (10:50:53 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202312.0334.v1

Enhancing Osteoporotic Vertebral Fracture Diagnosis and Treatment Planning: Comparing CT and STIR Sequence MRI

Reka Viola, Siran Aslan, Mohammad Walid Al-Smadi, Árpad Viola

Subject: Medicine And Pharmacology, Clinical Medicine Keywords: STIR MRI; CT; Osteoporotic fracture; Spine fracture; Treatment planning; Diagnosis protocol; Surgical intervention; Radiological Assessment; Osteoporosis.

Online: 6 December 2023 (07:14:12 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.1371.v1

Enhancing Transformer Core Fault Diagnosis and Classification through Hilbert Transform Analysis of Electric Current Signals

Daryl Domingo, Akeem Bayo Kareem, Chibuzo Nwabufo Okwuosa, Paul Michael Custodio, Jang-Wook Hur

Subject: Engineering, Mechanical Engineering Keywords: core fault; electrical machines; fault classification; fault diagnosis; Hilbert transform; reliability; signal processing; transformer

Online: 18 January 2024 (11:31:01 CET)

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Preprint ARTICLE | doi:10.20944/preprints201909.0269.v1

Contesting the Geneticization Thesis in Human Reproduction: Dealing with Spiral Shaped Processes and Technoscientific Imaginaries

Ido Alon, Jose Guimon, Rosa Urbanos-Garrido

Subject: Medicine And Pharmacology, Obstetrics And Gynaecology Keywords: assisted reproductive technologies; In-Vitro Fertilization; Delphi; geneticization; Preimplantation Genetic Diagnosis; diffusion of innovation

Online: 24 September 2019 (05:32:19 CEST)

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Preprint REVIEW | doi:10.20944/preprints202310.1262.v1

Systems Biology in Cancer Diagnosis Integrating Omics Technologies and Artificial Intelligence to support physician decision-making

Alaa Fawaz, Alessandra Ferraresi, Ciro Isidoro

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: Artificial intelligence; medical technology; smart health; digital health; omics technologies; imaging; diagnosis; personalized medicine

Online: 19 October 2023 (10:37:06 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.1026.v2

Bearing Fault Vibration Signal Denoising Based on Adaptive Denoising Autoencoder

Haifei Lu, Kedong Zhou, Lei He

Subject: Mechanical Engineering, Engineering Keywords: rolling bearing fault diagnosis; autoencoder; signal denoising; convolution and deconvolution

Online: 16 May 2024 (12:30:12 CEST)

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Preprint REVIEW | doi:10.20944/preprints202404.1676.v1

Diagnostic Performance Of Ultrasonography In Biliary Atresia- A Test Accuracy Meta-analysis

Dev Desai, Hussein Al-azzawi, Hetvi Shah, Abhijay Shah, Raj Barot, Dwija Raval

Subject: Pediatrics, Perinatology And Child Health, Medicine And Pharmacology Keywords: biliary atresia, USG, diagnosis, meta-analysis, Index test, Reference standard

Online: 25 April 2024 (12:03:06 CEST)

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Introduction: Biliary Atresia (BA) is a common cause of neonatal cholestatic jaundice which, if recognized and treated early, can be life-saving for the infant. If the liver biopsy suggests the presence of BA, exploratory laparotomy is then carried out to confirm the diagnosis, along with the Kasai procedure to provide drainage to the bile secreted by the liver. The purpose of this study is to get a deep dive into all the various imaging modalities that can diagnose BA more effectively and with absolute certitude, thus helping prevent several children from a grave prognosis.Methodology: For the collection of the data, a search was done by two individuals using PubMed, Google Scholar, and Cochrane Library databases for all relevant literature. Each qualifying paper was evaluated independently by two reviewers. Each article was analyzed for the number of patients, their age, procedure modality, complexity of ethology, and incidence of the pre-decided complications. The statistical software packages RevMan (Review Manager, version 5.3), SPSS (Statistical Package for the Social Sciences, version 20), Google Sheets, and Excel in Stata 14 were used to perform the statistical analyses. The data was obtained and entered into analytic software.Results: A total of 39 studies with 3,679 subjects were selected for the study, out of which 7 studies showed sensitivity above or equal to 95%, and an astounding 14 studies showed specificity above 95%. The value of True Positive (TP) was 1280, that of True Negative (TN) was 1817, that of False Positive (FP) was 239, and that of False Negative (FN) was 343. With a confidence interval of 95%, sensitivity, specificity, and positive predictive values were calculated. The sensitivity of Ultrasonography for Biliary Atresia is 0.79, with a CI of 95% in a range of 0.77 to 0.81. The specificity of Ultrasonography for Biliary Atresia is 0.88, with a CI of 95% in a range of 0.87 to 0.90. Conclusion: Even though several radiological techniques at present help to detect BA, USG of the abdomen proves to be an effective diagnostic and a modest screening test for the detection of BA.

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/preprints202311.1387.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/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 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/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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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 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 REVIEW | doi:10.20944/preprints202101.0471.v1

Fluorescent Aptamers for Detection and Treatment of Pathogenic Bacteria and Cancer

Aarushi Sharma, Grace Ramena

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: aptamer; aptasensor; diagnosis; imaging; sequencing; therapeutics; probes; fluorescence; pathogenic bacteria; cancer cells; monoclonal antibodies; SELEX; nucleic acids

Online: 25 January 2021 (10:18:16 CET)

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Preprint ARTICLE | doi:10.20944/preprints202105.0752.v1

Mass Spectrometry-based Proteomic and Immunoproteomic Analyses of the Candida albicans Hyphal Secretome Reveal Diagnostic Biomarker Candidates for Invasive Candidiasis

Catarina Vaz, Aida Pitarch, Emilia Gómez-Molero, Ahinara Amador-García, Michael Weig, Oliver Bader, Lucía Monteoliva, Concha Gil

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: Candida albicans; invasive candidiasis; secretome; secreted proteins; hypha; diagnosis; biomarkers; immunoproteomics; SERPA; serologic response.

Online: 31 May 2021 (11:40:35 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202002.0324.v1

Breast and Colon Cancer Classification from Gene Expression Profiles Using Data Mining Techniques

Mohamed Loey, Mohammed Wajeeh Jasim, Hazem M. EL-Bakry, Mohamed Hamed N. Taha, Nour Eldeen M. Khalifa

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: machine learning; cancer diagnosis; grey wolf; optimization algorithm; support vector machine; information gain; feature selection

Online: 23 February 2020 (13:21:40 CET)

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Preprint ARTICLE | doi:10.20944/preprints202211.0198.v1

Finding the Proportion of Females with Autistic Spectrum Disorder Who Develop Anorexia Nervosa, the True Prevalence of Female ASD and Its Clinical Significance.

Robert McCrossin

Subject: Medicine And Pharmacology, Pediatrics, Perinatology And Child Health Keywords: autistic spectrum disorder; anorexia nervosa; female; prevalence; Bayes’ Theorem; diagnosis; management; generalized joint hypermobility.

Online: 10 November 2022 (11:02:35 CET)

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Preprint REVIEW | doi:10.20944/preprints202004.0155.v1

COVID-19 Testing: Challenges, Limitations and Suggestions for Improvement

Emily Hu

Subject: Medicine And Pharmacology, Epidemiology And Infectious Diseases Keywords: COVID-19; Coronavirus; False-negative; Nucleic Acid Test; Screening; Diagnostic Accuracy; Missed Diagnosis; Epidemic; Infectious Disease

Online: 9 April 2020 (14:37:56 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202309.0323.v1

utPCR: A Strategy for Highly Specific and Absolutely Quantitative Detection of Single Molecules within Only Minutes

Rui Wang, Ying Liu, Shuaiwei Chen, Linlin Bai, Kaiming Guo, Yanan Pang, Feng Qian, Yongfang Li, Li Ding, Yongming Wang

Subject: Biology And Life Sciences, Biology And Biotechnology Keywords: Ultrafast PCR; droplet digital PCR (ddPCR); single-molecule detection; bloodstream infection; absolute quantification; molecular diagnosis

Online: 6 September 2023 (04:20:10 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202301.0122.v1

Ensuring Explainability and Dimensionality Reduction in a Multidimensional HSI World for Early XAI-diagnostics of Plant Stress

Maxim Lysov, Konstantin Pukhkiy, Evgeny Vasiliev, Alexandra Getmanskaya, Vadim Turlapov

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: explainable artificial intelligence; hyperspectral image; thermal IR training; zero-shot learning; plant stress; early diagnosis

Online: 6 January 2023 (09:56:11 CET)

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Preprint REVIEW | doi:10.20944/preprints202209.0364.v1

Expression and Signaling Pathways of Nerve Growth Factor (NGF) And Pro-NGF in Breast Cancer: A Systematic Review

Francesco Bruno, Domenico Arcuri, Francesca Vozzo, Antonio Malvaso, Alberto Montesanto, Raffaele Maletta

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: breast cancer; Nerve Growght Factor (NGF); TrkA; p75NTR; NGFR; pro-NGF; angiogenesis; invasion; metastasis; diagnosis; prognosis; treatment

Online: 23 September 2022 (09:18:12 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202310.0061.v1

Handheld Ultra-Fast duplex PCR assays and Lateral flow detection and identification of Leishmania parasites for cutaneous leishmanisis diagnosis

Insaf Bel Hadj Ali, Yusr Saadi Ben Aoun, Zeineb Hammami, Oumayma Rhouma, Ahmed Sahbi Chakroun, Ikram Guizani

Subject: Biology And Life Sciences, Biology And Biotechnology Keywords: Cutaneous leishmaniases; Molecular diagnosis; Point of care; Leishmania; Molecular target; Palm PCR; Duplex PCR; Lateral Flow immunoassay

Online: 2 October 2023 (09:43:13 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202401.0449.v1

Hongpeng Wang, Chenglong Li

Subject: Computer Science And Mathematics, Mathematics Keywords: Pythagorean fuzzy sets; Tanimoto similarity measure; distance measure; pattern recognition; medical diagnosis; multi-attribute decision-making

Online: 5 January 2024 (12:02:37 CET)

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Preprint ARTICLE | doi:10.20944/preprints202208.0390.v1

A Closed-loop Approach to Fight Coronavirus: Early Detection and Subsequent Treatment

Guoguang Rong, Yuqiao Zheng, Xi Yang, Kangjian Bao, Fen Xia, Huihui Ren, Sumin Bian, Lan Li, Bowen Zhu, Mohamad Sawan

Subject: Engineering, Electrical And Electronic Engineering Keywords: Biosensing; Coronaviru; , SARS-CoV-2; COVID-19; Early diagnosis; Epidemic control; Respiration monitor; Photoacoustic imaging; Neurostimulation

Online: 23 August 2022 (03:44:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202401.0062.v1

The Prognostic Role of Diagnostic Criteria for COVID-19 Associated Pulmonary Aspergillosis: A Cross-Sectional Retrospective Study

Erika Asperges, Rebecca Pesare, Cecilia Bassoli, Matteo Calia, Sonia Lerta, Francesco Citiolo, Giuseppe Albi, Caterina Cavanna, Paolo Sacchi, Raffaele Bruno

Subject: Medicine And Pharmacology, Epidemiology And Infectious Diseases Keywords: COVID-19; pulmonary aspergillosis; case definitions; CAPA; certain/probable/possible diagnosis

Online: 2 January 2024 (09:46:22 CET)

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Preprint ARTICLE | doi:10.20944/preprints202312.2268.v1

Preemptive Diagnosis of Parkinson's Disease through DaT Scans using InceptionV3-based Convolutional Neural Networks

Ashmita Appineni, Aditya Gupta

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Parkinson Disease; Machine Learning; Artificial Intelligence; InceptionV3; DaT Scans; Parkinson Diagnosis

Online: 29 December 2023 (08:34:17 CET)

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Preprint ARTICLE | doi:10.20944/preprints202312.0323.v1

Improving Prenatal Diagnosis Precision for Congenital Clubfoot by Using Three-Dimensional Ultrasonography

Yoo-min Kim, Ji Su Seong, Ji Hoi Kim, Na Mi Lee, In Ho Choi, Yejin Cho, Gina Nam, Gwang Jun Kim

Subject: Medicine And Pharmacology, Obstetrics And Gynaecology Keywords: clubfoot; congenital abnormalities; three-dimensional ultrasound; foot malpositions; prenatal diagnosis; ultrasound

Online: 6 December 2023 (07:57:51 CET)

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Preprint ARTICLE | doi:10.20944/preprints202311.1353.v1

Diagnosis of Multiple Open-Circuit Faults in Three phase Induction Machine Drive Systems Based on Bidirectional Long Short-Term Memory Algorithm

Badii Gmati, Amine Ben Rhouma, Houda Meddeb, Sejir Khojet El Khil

Subject: Engineering, Electrical And Electronic Engineering Keywords: Fault Diagnosis; Power Converters; Open-Circuit Fault; Deep Learning; AC drives

Online: 21 November 2023 (15:16:46 CET)

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Preprint ARTICLE | doi:10.20944/preprints202310.1473.v1

Remote Diagnosis on Upper Respiratory Tract Infections Based on Neural Network with Few Symptom Words – a Feasibility Study

Chung-Hung Tsai, Kuan-Hung Liu, Da-Chuan Cheng

Subject: Medicine And Pharmacology, Clinical Medicine Keywords: natural language; remote diagnosis; GPT-2 model; deep learning; symptom words

Online: 24 October 2023 (08:34:37 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.0628.v1

Evaluation of Loop-Mediated Isothermal Amplification (LAMP) in Urine Samples for the Diagnosis of Imported Schistosomiasis

Joaquín Salas-Coronas, María Pilar Luzón-García, Beatriz Crego-Vicente, Manuel Jesús Soriano-Pérez, Begoña Febrer-Sendra, José Vázquez-Villegas, Juan García-Bernalt Diego, María Isabel Cabeza-Barrera, Nerea Castillo-Fernández, Antonio Muro, María Dolores Bargues, Pedro Fernández-Soto

Subject: Medicine And Pharmacology, Tropical Medicine Keywords: imported schistosomiasis; diagnosis; LAMP; immunocromatographic rapid test; microscopy; Latent Class Analysis.

Online: 8 August 2023 (09:13:53 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0288.v1

Identifying the Common Cell-Free DNA Biomarkers across Seven Major Cancer Types

Mingyu Luo, Yining Liu, Min Zhao

Subject: Biology And Life Sciences, Biology And Biotechnology Keywords: Early cancer diagnosis; cell free DNA; biomarker; integrative biology; pan cancer

Online: 5 June 2023 (09:20:14 CEST)

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Preprint REVIEW | doi:10.20944/preprints202305.1832.v1

A Review of CAD systems for Breast Mass Detection in Mammography Based on Deep Learning

Shahriar Mohammadi, Mohammad Ahmadi Livani

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: Breast cancer; convolution neural networks; computer-aided diagnosis systems; segmentation; classification

Online: 26 May 2023 (03:50:59 CEST)

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Preprint REVIEW | doi:10.20944/preprints202205.0189.v1

Machine Learning of Raman Spectroscopy Data for Classifying Cancers: a Review of the Recent Literature

Nathan Blake, Riana Gaifulina, Lewis D. Griffin, Ian M. Bell, Geraint M. H. Thomas

Subject: Medicine And Pharmacology, Pathology And Pathobiology Keywords: Raman Spectroscopy; Medical application; Disease screening and diagnosis; Machine learning analyses

Online: 13 May 2022 (10:17:00 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202203.0257.v1

Cautionary Observations Concerning the Introduction of Psychophysiological Biomarkers into Neuropsychiatric Practice

Paul E. Rapp, Christopher Cellucci, David Darmon, David Keyser

Subject: Medicine And Pharmacology, Psychiatry And Mental Health Keywords: biomarkers; electroencephalography; event related potentials; heart rate variability; diagnosis; sensitivity; specificity

Online: 17 March 2022 (15:19:38 CET)

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Preprint BRIEF REPORT | doi:10.20944/preprints202104.0693.v1

COVID-19 Clinical Practice Guidelines Hadhramout Initiative Against Corona Group (HIAC Group)

Abdulla A. Baradwan, Khalid H. Ba-Msahell, Iman A. Ba-Saddik, Ibrahim Albakri, Hassan O. Batis, Ahmed Babiqai, Ahmed Al habshi, Shaker Bajaber, Ahmed M. Badheeb

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: COVID-19; SARS-CoV-2; HIAC Recommendation; Diagnosis; Treatment; Discharge Management

Online: 26 April 2021 (20:42:09 CEST)

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Preprint REVIEW | doi:10.20944/preprints202011.0216.v1

Diagnosis of Composite Materials in Aircraft Applications–Brief Survey of Recent Literature

Muflih Alhammad, Luca Zanotti Fragonara, Nicolas P Avdelidis

Subject: Engineering, Automotive Engineering Keywords: Failure Diagnosis; Aircraft Applications; Composite Materials; Non-Destructive Testing (NDT) Techniques

Online: 5 November 2020 (14:53:08 CET)

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Preprint ARTICLE | doi:10.20944/preprints202008.0164.v1

An Anti-Noise Fault Diagnosis Method of Bearing based on Multi-Scale 1DCNN

Jie Cao, Zhidong He, Jinhua Wang, Ping Yu

Subject: Engineering, Mechanical Engineering Keywords: intelligent fault diagnosis; bearing; anti-noise; one-dimensional convolution neural network

Online: 6 August 2020 (11:42:44 CEST)

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Preprint REVIEW | doi:10.20944/preprints202006.0211.v1

Mass Antibody Detection: Can It be An Avenger for Infectivity War against COVID-19

Sarfaraz Ahmad Ejazi, Sneha Ghosh, Nahid Ali

Subject: Biology And Life Sciences, Immunology And Microbiology Keywords: COVID-19; diagnosis; ELISA; RDT; point-of-care test; antibody; proteins

Online: 17 June 2020 (08:36:25 CEST)

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Preprint REVIEW | doi:10.20944/preprints201905.0328.v1

Ultrasensitive ELISA Developed for Diagnosis

Kanako Iha, Mikio Inada, Naoki Kawada, Kazunari Nakaishi, Satoshi Watabe, Yong Hong Tan, Chieh Shen, Liang-Yin Ke, Teruki Yoshimura, Etsuro Ito

Subject: Medicine And Pharmacology, Epidemiology And Infectious Diseases Keywords: adiponectin; diagnosis; HIV; insulin; non-amplification nucleic acid detection; ultrasensitive ELISA

Online: 28 May 2019 (10:18:41 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201805.0449.v1

Determination of Intestinal Mass by Region Growing Method

Ali Yasar, Ismail Saritas, Huseyin Korkmaz

Subject: Computer Science And Mathematics, Software Keywords: Computer Aided Diagnosis (CAD); image processing; region growing segmentation; intestinal mass

Online: 30 May 2018 (10:23:57 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201704.0166.v1

Near-Infrared Spectroscopy-based Detector in Application of Intensive Care Unit Clinics

Ting Li, Fulin Zhong, Zishan Deng, Boan Pan, Zebin Li

Subject: Medicine And Pharmacology, Other Keywords: optoelectronic sensor; near-infrared spectroscopy; thrombus diagnosis; shock monitoring; fatigue evaluation

Online: 26 April 2017 (06:05:07 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202111.0239.v1

Expert Radiology Application Softwares Enhance Radiology Diagnosis Contributions And Challenges By A Historical Review of Informetric Analysis From 1991 To 2021

Chia-Cheng Chao, Ming-Hung Hsu

Subject: Engineering, Electrical And Electronic Engineering Keywords: radiology information systems; radiology education system; radiology operation software; information technology; computer-aided diagnosis system

Online: 12 November 2021 (17:06:10 CET)

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Preprint REVIEW | doi:10.20944/preprints202404.1397.v1

Photodynamic Diagnosis and Therapy in Non-Muscle Invasive Bladder Cancer

Atsushi Kurabayashi, Hideo Fukuhara, Kaoru Furihata, Waka Iwashita, Mutsuo Furihata, Keiji Inoue

Subject: Pathology And Pathobiology, Medicine And Pharmacology Keywords: non-muscle invasive bladder cancer; transurethral resection of bladder tumor; 5‐Aminolevulinic acid; photodynamic diagnosis; photodynamic therapy

Online: 22 April 2024 (10:52:02 CEST)

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