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Preprint ARTICLE | doi:10.20944/preprints202003.0267.v1

Binding Mechanism of Remdesivir to SARS-CoV-2 RNA Dependent RNA Polymerase

Leili Zhang, Ruhong Zhou

Subject: Chemistry And Materials Science, Physical Chemistry Keywords: COVID-19; SARS-CoV-2; RNA-dependent RNA polymerase (RdRp); remdesivir; homology model; molecular dynamics; free energy perturbation

Online: 17 March 2020 (04:07:15 CET)

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Preprint ARTICLE | doi:10.20944/preprints201809.0544.v1

Peak Week and Competition Day Strategies of Competitive Natural Bodybuilders

Andrew J Chappell , Trevor Simper

Subject: Biology And Life Sciences, Food Science And Technology Keywords: Bodybuilding; Drug Free; Competing; Peaking; Carbohydrate Loading; Water Loading; Sodium Loading; Fat Loading: Vitamin C; Fibre Restriction

Online: 27 September 2018 (12:58:34 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201802.0055.v1

Enthalpy and Free Energy of Formation of Diamido and Monoamido Phosphoric Acid

Neale R. Neelameggham

Subject: Chemistry And Materials Science, Inorganic And Nuclear Chemistry Keywords: amidophosphoric acid; diamidophosphate; prebiotic phosphoryl compound; phosphonitrogen glass; enthalpy; Gibbs Free energy; biomimetic nitrogen fixation

Online: 7 February 2018 (05:12:33 CET)

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Preprint ARTICLE | doi:10.20944/preprints202002.0197.v1

Predict Arrival Time by Using Machine Learning Algorithm to Promote Utilization of Urban Smart Bus

Rafidah Md Noor, Ng Seong Yik, Raenu Kolandaisamy, Ismail Ahmedy, Mohammad Asif Hossain, Kok-Lim Alvin Yau, Wahidah Md Shah, Tarak Nandy

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Support Vector Machine; Support Vector Regression; Machine learning; Prediction; Urban Smart Bus

Online: 15 February 2020 (14:33:23 CET)

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Preprint ARTICLE | doi:10.20944/preprints201710.0042.v1

Validity and Reliability of the Kinovea Program in Obtaining Angular and Distance Dimensions

Albert Puig-Diví, Josep Maria Padullés-Riu, Albert Busquets-Faciaben, Xavier Padullés-Chando, Carles Escalona-Marfil, Daniel Marcos-Ruiz

Subject: Medicine And Pharmacology, Orthopedics And Sports Medicine Keywords: free software; human motion; Kinovea; low cost; reliability; validity; video analysis

Online: 9 October 2017 (05:07:57 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202002.0181.v1

Evaluation of Electrical Efficiency of Photovoltaic Thermal Solar Collector

Mohammad Hossein Ahmadi, Alireza Baghban, Milad Sadeghzadeh, Mohammad Zamen, Amir Mosavi, Shahaboddin Shamshirband, Ravinder Kumar, Mohammad Mohammadi-Khanaposhtani

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: renewable energy; neural networks (NNs); adaptive neuro-fuzzy inference system (ANFIS); least square support vector machine (LSSVM); photovoltaic-thermal (PV/T); hybrid machine learning model

Online: 14 February 2020 (02:53:47 CET)

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Preprint REVIEW | doi:10.20944/preprints202005.0050.v1

The Public Mental Health While in a Community Quarantine Due to COVID-19 Pandemic: A Scoping Review of Literature Using Google Scholar

Ryan Labana

Subject: Social Sciences, Psychology Keywords: COVID-19 Pandemic; Review Literature; Psychosocial Support System; Public Health Administration

Online: 5 May 2020 (02:23:47 CEST)

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Preprint REVIEW | doi:10.20944/preprints201711.0197.v1

A Consideration of the Relationship between Animals and Their Environment

Ian G. Colditz

Subject: Biology And Life Sciences, Ecology, Evolution, Behavior And Systematics Keywords: affordance; umwelt; agency; active inference; allostasis; immune cognition; situated Darwinism; information; entropy; free energy principle

Online: 30 November 2017 (09:02:17 CET)

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Preprint ARTICLE | doi:10.20944/preprints201608.0230.v1

Epidemic Analysis and Mathematical Modelling of H1N1 (A) with Vaccination

Jagan Mohan Jonnalagadda, Kartheek Gaddam

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: basic reproduction number; disease free equilibrium; endemic equilibrium; local asymptotic stability; global asymptotic stability; influenza

Online: 30 August 2016 (08:54:15 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201902.0001.v2

Effects of Continuous Deep Fat Frying on the Physical and Chemical Properties of Assorted Brands of Edible Cooking Oils Sold in Metropolitan Kampala

Timothy Omara, Erisa Kigenyi

Subject: Chemistry And Materials Science, Analytical Chemistry Keywords: color; free fatty acids; iodine absorption value; paraanisidine value; peroxide value

Online: 6 February 2019 (06:36:41 CET)

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Preprint ARTICLE | doi:10.20944/preprints201806.0002.v1

Power Transformer Insulation Assessment Based on Oil-Paper Measurement Data Using SVM-Classifier

Suwarno -, Rahman A. Prasojo

Subject: Engineering, Electrical And Electronic Engineering Keywords: support vector machine; classification analysis; power transformer condition assessment; oil immersed paper insulation; dga; dielectric characteristics, furanic compounds

Online: 1 June 2018 (05:58:18 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201701.0078.v1

High Step-up Voltage Gain Converter with Ripple-free Input Current for Renewable Energy Sources

Zhangyong Chen, Yong Chen

Subject: Engineering, Electrical And Electronic Engineering Keywords: input current ripple-free; boost converter; coupled-inductor; voltage-doubler cell; passive lossless clamp circuits; high voltage gain; renewable energy

Online: 17 January 2017 (11:10:36 CET)

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Preprint ARTICLE | doi:10.20944/preprints201902.0232.v1

Demonstration of Bomb Detection Using the IBM Quantum Computer

Ankit Raj, Barnali Das, Bikash K. Behera, Prasanta K. Panigrahi

Subject: Physical Sciences, Quantum Science And Technology Keywords: Bomb Detection; Interaction Free Measurement; Mach Zhender Interferometer; IBM Quantum Expeience

Online: 25 February 2019 (15:23:20 CET)

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Working Paper ARTICLE

Identiﬁcation of Hydrothermal Alteration Minerals for Exploring Gold Deposit Based on SVM and PCA Using ASTER Data: A Case Study of Gulong

Kai Xu, Xiaofeng Wang, Chunfang Kong, Ruyi Feng, Gang Liu, Chonglong Wu

Subject: Environmental And Earth Sciences, Geophysics And Geology Keywords: gold deposit; alteration information; ASTER image; support vector machine (SVM); principal component analysis (PCA)

Online: 22 October 2019 (04:26:18 CEST)

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Preprint REVIEW | doi:10.20944/preprints202003.0362.v1

Leveraging Open Hardware to Alleviate the Burden of COVID-19 on Global Health Systems

Andre Maia Chagas, Jennifer Molloy, Lucia Prieto Godino, Tom Baden

Subject: Biology And Life Sciences, Virology Keywords: Free and Open Source Hardware; COVID-19; pandemic

Online: 24 March 2020 (14:46:29 CET)

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Preprint ARTICLE | doi:10.20944/preprints202002.0232.v1

Terahertz Detection of Zika Viruses

Subhashish Dolai, Massood Tabib-Azar

Subject: Biology And Life Sciences, Virology Keywords: electromagnetic properties of viruses; terahertz sensors; label-free detection of viruses; nanotechnologies

Online: 17 February 2020 (01:56:06 CET)

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Preprint ARTICLE | doi:10.20944/preprints201708.0055.v1

A Survey of Data Processing of EMR (Electronic Medical Record) Based on Data Mining

Wencheng Sun, Fang Liu, Zhiping Cai, Shengqun Fang, Guoyan Wang

Subject: Computer Science And Mathematics, Information Systems Keywords: EMR; data preprocessing; text mining; information extraction; medical decision support system

Online: 15 August 2017 (05:46:43 CEST)

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Preprint REVIEW | doi:10.20944/preprints201705.0104.v1

A Systematic Review: Family Support Integrated To Diabetes Self-Management among Glycemic Uncontrolled Type II DM Patients

Rian Adi Pamungkas, Kanittha Chamroonsawasdi, Paranee Vatanasomcoon

Subject: Social Sciences, Behavior Sciences Keywords: diabetes self-management; family support; glycemic uncontrolled; type 2 DM; systematic review

Online: 12 May 2017 (05:27:28 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201710.0133.v3

Comparison of Stochastic and Machine Learning Methods for Multi-Step Ahead Forecasting of Hydrological Processes

Georgia Papacharalampous, Hristos Tyralis, Demetris Koutsoyiannis

Subject: Engineering, Civil Engineering Keywords: multi-step ahead forecasting; neural networks; random forests; stochastic vs machine learning models; support vector machines; time series

Online: 17 January 2019 (15:51:22 CET)

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Preprint ARTICLE | doi:10.20944/preprints202009.0607.v1

Whey Proteins Characterization, Free Amino Acids Profile and Antimicrobial Study of Some Dairy Drinks based on Milk Serum

Doina Prodan, Miuța Filip, Mihaela Vlassa, Marioara Moldovan, Rahela Carpa, Viorica Tarmure, and Andreea Simona Popa

Subject: Chemistry And Materials Science, Analytical Chemistry Keywords: Milk Serum; whey proteins; RP-HPLC-UV; free amino acids; RP-HPLC-FLD; antimicrobial study

Online: 25 September 2020 (11:45:09 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201611.0100.v1

Aluminum Wires have the Free Air Balls (FABs): Electronic Flame-Off, Fracture Strength, Electrical Properties and Bonding Characteristics of Nano Zn Film Al-Si Bonding Wires

Fei-Yi Hung, Truan-Sheng Lui, Kuan-Ming Chu, Yi-Wei Tseng

Subject: Chemistry And Materials Science, Metals, Alloys And Metallurgy Keywords: Al wire, free air ball (FAB),electronic flame-off (EFO), coating, bias test

Online: 18 November 2016 (15:03:34 CET)

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Preprint ARTICLE | doi:10.20944/preprints201809.0436.v1

The Impact of Training and Support Interventions on Small Businesses in the Expanded Public Works Programme – Pretoria Region

Lungisani G Dladla, Emmanuel Mutambara

Subject: Business, Economics And Management, Economics Keywords: Expanded Public Works Programme; EPWP; SMMEs; Training; and Support

Online: 21 September 2018 (10:44:18 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201706.0009.v1

10m Sentinel-2A Cloud-Free Composite – Southern Africa 2016

Fabrizio Ramoino, Florin Tutunaru, Fabrizio Pera, Olivier Arino

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: Sentinel-2; remote sensing; European Space Agency; Copernicus; continental; cloud-free; composite; darkest pixel; maximum NDVI

Online: 2 June 2017 (05:03:53 CEST)

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Preprint REVIEW | doi:10.20944/preprints201805.0158.v1

Cutaneous and Mucosal Manifestations Associated to Celiac Disease

Luis Rodrigo, Valia-Patricia Beteta, Nuria Álvarez, Celia Gómez de Castro, Álvaro de Dios, Laura Palacios, Jorge Santos-Juanes

Subject: Medicine And Pharmacology, Dermatology Keywords: celiac disease; dermatitis herpetiformis; alopecia areata; cutaneous vasculitis; urticaria; atopic dermatitis; psoriasis; recurrent aphtous ulceration; chronic ulcerative stomatitis; gluten-free diet

Online: 10 May 2018 (08:04:40 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201609.0104.v1

Icing Forecasting of High Voltage Transmission Line Using Weighted Least Square Support Vector Machine with Fireworks Algorithm for Feature Selection

Tiannan Ma, Dongxiao Niu

Subject: Computer Science And Mathematics, Computer Science Keywords: icing forecasting; fireworks algorithm; least square support vector machine; feature selection

Online: 27 September 2016 (11:16:44 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201901.0302.v1

Google Earth, Google SketchUp and GIS software; An Interoperable Work Flow for Generating Elevation Data

José Gomes dos Santos, Kevin Bento, Joaquim Lourenço Txifunga

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: interoperability; digital elevation model; Google Sketchup; geographical information systems-science; free and open source software

Online: 30 January 2019 (05:28:53 CET)

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Working Paper ARTICLE

From Allostatic Agents to Counterfactual Cognisers: Active Inference, Biological Regulation, and the Origins of Cognition

Andrew W. Corcoran, Giovanni Pezzulo, Jakob Hohwy

Subject: Arts And Humanities, Philosophy Keywords: complexity; uncertainty; cognition; allostasis; homeostasis; free energy principle; active inference; environmental complexity thesis; adaptation; representation; interoception; biorhythms; life-mind continuity

Online: 29 February 2020 (12:33:12 CET)

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Preprint ARTICLE | doi:10.20944/preprints201705.0095.v1

Yield and Milk Quality Parameters at Different Stages of Lactation from a Small Herd of Nguni, Boer and Non-Descript Goats Raised in an Extensive Production System

Emrobowansan M. Idamokoro, Voster Muchenje, Patrick J. Masika

Subject: Biology And Life Sciences, Animal Science, Veterinary Science And Zoology Keywords: indigenous goats; free range; milk production; milk composition

Online: 11 May 2017 (07:52:28 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201701.0095.v1

Visible Light-Induced Metal Free Surface Initiated Atom Transfer Radical Polymerization of Methyl Methacrylate on SBA-15

Liang Ma, Na Li, Jian Zhu, Xiao Dong Chen

Subject: Chemistry And Materials Science, Applied Chemistry Keywords: polymeric composite; surface initiated atom transfer radical polymerization; photo-induced; living radical polymerization; metal-free atom transfer radical polymerization

Online: 22 January 2017 (04:56:44 CET)

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Preprint ARTICLE | doi:10.20944/preprints201706.0093.v2

The Open Energy Modelling Framework (oemof) - A New Approach to Facilitate Open Science in Energy System Modelling

Simon Hilpert, Cord Kaldemeyer, Uwe Krien, Stephan Günther, Clemens Wingenbach, Guido Plessmann

Subject: Engineering, Energy And Fuel Technology Keywords: decision support; energy system modelling; optimization; collaborative development; open science

Online: 27 March 2018 (05:34:38 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201801.0193.v1

A Multi-Agent System Based Approach to Fight Financial Fraud: An Application to Money Laundering

Claudio Alexandre, João Balsa

Subject: Computer Science And Mathematics, Computer Science Keywords: multi-agent system; decision support; anti-money laundering; anti-fraud

Online: 22 January 2018 (04:46:20 CET)

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Preprint ARTICLE | doi:10.20944/preprints201609.0119.v1

Short-Term Load Forecasting Using Adaptive Annealing Learning Algorithm Based Reinforcement Neural Network

Cheng-Ming Lee, Chia-Nan Ko

Subject: Engineering, Electrical And Electronic Engineering Keywords: short-term load forecasting; radial basis function neural network; support vector regression; particle swarm optimization; adaptive annealing learning algorithm

Online: 29 September 2016 (12:22:20 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202101.0013.v1

Social Support and Emotional Maturity to Reduce Students’ Online Learning Anxiety During the Covid-19 Pandemic

Andik Matulessy, Sahat Saragih, Nawafil Nawafil, Hengki Perdana, Moses Pandin

Subject: Social Sciences, Education Keywords: Social support; emotional maturity; anxiety; online learning

Online: 4 January 2021 (11:26:27 CET)

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Preprint REVIEW | doi:10.20944/preprints201807.0454.v1

Discovering the health promoting potential of fermented papaya preparation- its future perspectives for the dietary management of oxidative stress during diabetes

Jhoti Somanah-Bhugowandeen, Manish Putteeraj, Okezie Aruoma, Theeshan Bahorun

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: Carica papaya; fermented papaya preparation (FPP); free radical scavenging; antioxidant; oxidative stress; anti-diabetic; anti-carcinogenic

Online: 24 July 2018 (11:39:50 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201608.0092.v1

An Extremely Efficient Boundary Element Method for Wave Interaction with Long Cylindrical Structures Based on Free-Surface Green’s Function

Yingyi Liu, Ying Gou, Bin Teng

Subject: Engineering, Marine Engineering Keywords: long cylindrical structure; free-surface Green function; higher-order boundary element method; multipole expansion; singularity elimination; Gauss-Kronrod; numerical quadrature; OpenMP parallelization

Online: 9 August 2016 (10:50:40 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201702.0102.v1

Experimental Studies of Turbulence Intensity around a Tidal Turbine Support Structure

Stuart Walker, Lorenzo Cappietti

Subject: Engineering, Energy And Fuel Technology Keywords: Marine Energy; Tidal turbine; horizontal-axis marine current turbine; OCT; Turbulence; Support Structure; device wake

Online: 28 February 2017 (11:55:00 CET)

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Preprint ARTICLE | doi:10.20944/preprints201702.0087.v1

Metal-Free α-C(sp³)–H Functionalized Oxidative Cyclization of Tertiary N,N-Diaryl Amino Alcohols: Theoretical Approach for Mechanistic Pathway

Zakir Ullah, Mihyun Kim

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: α-C(sp3)–H functionalization; oxidative cyclization; tertiary amine; 6-exo-trig; metal free

Online: 23 February 2017 (10:40:53 CET)

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Preprint ARTICLE | doi:10.20944/preprints201704.0047.v2

Multistage DC-DC Step-Up Self Balanced and Magnetic Component Free Converter for Photovoltaic Applications—Hardware Implementation

Mahajan Sagar Bhaskar, Sanjeevikumar Padmanaban, Frede Blaabjerg

Subject: Engineering, Electrical And Electronic Engineering Keywords: DC-DC; self biased; magnetic component free; multistage; step-up; photovoltaic application

Online: 10 April 2017 (06:14:16 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201705.0216.v1

Recyclable Cu-MOF-74 Catalyst for Ligand-Free O-Arylation Reaction of 4-Nitrobenzaldehyde and Phenol

Pedro Leo, Gisela Orcajo, David Briones, Guillermo Calleja, Fernando Martínez

Subject: Chemistry And Materials Science, Applied Chemistry Keywords: MOF; catalyst; recyclable Cu-MOF-74; ligand-free; O-arylation reaction; 4-nitrobenzaldehyde; phenol; 4-formyldiphenyl ether

Online: 30 May 2017 (09:31:36 CEST)

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Preprint COMMUNICATION | doi:10.20944/preprints201701.0037.v1

Atom-Economic Synthesis of 4-Pyrones from Diynones and Water

Yan-Li Xu, Qing-Hu Teng, Wei Tong, Heng-Shan Wang, Ying-Ming Pan, Xian-Li Ma

Subject: Chemistry And Materials Science, Organic Chemistry Keywords: 4-pyrones; diynones; water; transition-metal-free

Online: 9 January 2017 (04:46:22 CET)

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Preprint REVIEW | doi:10.20944/preprints202104.0126.v1

The Role of Nurses in Providing Social Support in Tuberculosis Treatment: Literature Review

Ni Nyoman Elfiyunai, Moses Glorino Rumambo Pandin

Subject: Public Health And Healthcare, Nursing Keywords: Social Suppport; Tuberculosis; Nursing; Information Support

Online: 5 April 2021 (12:27:39 CEST)

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Working Paper ARTICLE

Cyber Risk at the Edge: Current and future trends on Cyber Risk Analytics and Artificial Intelligence in the Industrial Internet of Things and Industry 4.0 Supply Chains

Petar Radanliev, David De Roure, Kevin Page, Jason R.C. Nurse, Rafael Mantilla Montalvo, Omar Santos, La'Treall Maddox, Peter Burnap

Subject: Engineering, Automotive Engineering Keywords: Industry 4.0; Supply Chain Design; Transformational Design Roadmap; IIoT Supply Chain Model; Decision Support for Information Management

Online: 24 December 2020 (13:37:35 CET)

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Preprint ARTICLE | doi:10.20944/preprints201702.0077.v1

Shape and Geometric Features-based Semantic Image Retrieval Using Multi-class Support Vector Machine

Zohair Malki

Subject: Computer Science And Mathematics, Computer Science Keywords: Zernike moment, Multi-class support vector machine, Query Engine, SPARQL

Online: 20 February 2017 (18:07:11 CET)

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Preprint ARTICLE | doi:10.20944/preprints201804.0024.v1

Modelling, Transport and Assessment of Aquatic Toxic Metals in Coastal Ecosystems

Franklin Torres-Bejarano, Hermilo Ramírez-León, Clemente Rodríguez-Cuevas, Israel Enrique Herrera-Díaz, Jorge J. Hernández-Gómez, Hector Barrios-Piña, Carlos Couder-Castañeda

Subject: Environmental And Earth Sciences, Environmental Science Keywords: pollutant transport modelling; metals transport modelling; free surface water bodies; toxics-reaction equation

Online: 2 April 2018 (11:27:40 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201811.0326.v2

Cell-Based Fish: A Novel Approach to Seafood Production and an Opportunity for Cellular Agriculture

Natalie Rubio, Isha Datar, David Stachura, Kate Krueger

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: cellular agriculture; cell-based seafood; fish tissue culture; bioreactor; serum-free media; ocean conservation; marine cell culture; aquaculture

Online: 25 January 2019 (11:36:58 CET)

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Cellular agriculture is defined as the production of agricultural products from cell cultures rather than from whole plants or animals. With growing interest in cellular agriculture as a means to address the public health, environmental, and animal welfare challenges of animal agriculture, the concept of producing seafood from fish cell- and tissue-cultures is emerging as a means to address similar challenges with industrial aquaculture systems and marine capture. Cell-based seafood - as opposed to animal-based seafood - can combine developments in biomedical engineering with modern aquaculture techniques. Biomedical engineering developments such as closed-system bioreactor production of land animal cells create a basis for large scale production of marine animal cells. Aquaculture techniques such as genetic modification and closed system aquaculture have achieved marked gains in production that can pave the way for innovations in cell-based seafood production. Here, we present the current state of innovation relevant to the development of cell-based seafood across multiple species as well as specific opportunities and challenges that exist for advancing this science. The authors find that the physiological properties of fish cell- and tissue- culture may be uniquely suited to cultivation in vitro. These physiological properties, including hypoxia tolerance, high buffering capacity, and low-temperature growth conditions, make marine cell culture an attractive opportunity for scale production of cell-based seafood; perhaps even more so than mammalian and avian cell cultures for cell-based meats. This, coupled with the unique capabilities of crustacean tissue-friendly scaffolding such as chitosan, a common seafood waste product and mushroom derivative, presents great promise for cell-based seafood production via bioreactor cultivation. To become fully realized, cell-based seafood research will require more understanding of fish muscle culture and cultivation; more investigation into serum-free media formulations optimized for fish cell culture; and bioreactor designs tuned to the needs of fish cells for large scale production.

Preprint ARTICLE | doi:10.20944/preprints202008.0415.v1

Monitoring Coronavirus COVID-19/SARS-CoV-2 Pandemic using GIS Dashboard: International and Indonesia Context

Edy Irwansyah, Widodo Budiharto, Danu Widhyatmoko, Achmad Istamar, Fepri Putra Panghurian

Subject: Medicine And Pharmacology, Other Keywords: pandemic; covid-19; monitoring; GIS dashboard; emergency spatial support centre

Online: 19 August 2020 (11:48:55 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201804.0314.v1

Application of AHP and DEMATEL Methods in Choosing and Analysing the Measures for the Distribution of Goods in Szczecin Region

Kinga Kijewska, Witold Torbacki, Stanisław Iwan

Subject: Social Sciences, Decision Sciences Keywords: urban freight transport; city logistics; decision making process; multi-actor decision support; Multi-Criteria Decision Analysis; MCDA; Analytic Hierarchy Process; AHP; Decision Making Trial and Evaluation Laboratory Method; DEMATEL

Online: 24 April 2018 (09:19:37 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202101.0233.v1

Calculation of the Vapour Pressure of Organic Molecules by Means of a Group-Additivity Method and their Resultant Gibbs Free Energy and Entropy of Vaporization at 298.15K

Rudolf Naef, William E. Acree Jr.

Subject: Chemistry And Materials Science, Theoretical Chemistry Keywords: group-additivity method; vapour pressure; Gibbs free energy of vaporization; entropy of vaporization

Online: 12 January 2021 (17:31:31 CET)

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Preprint ARTICLE | doi:10.20944/preprints201703.0070.v1

Two-Phase Time Synchronization-Free Localization Algorithm for Underwater Sensor Networks

Junhai Luo, Liying Fan

Subject: Engineering, Electrical And Electronic Engineering Keywords: Underwater sensor networks; synchronization-free; range-free; particle swarm optimization

Online: 13 March 2017 (16:41:00 CET)

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Preprint ARTICLE | doi:10.20944/preprints202201.0368.v2

Mental Disorder Symptoms among Paramedics in a Single Canadian Site

Justin Mausz, Elizabeth Anne Donnelly, Sandra Moll, Sheila Harms, Meghan McConnell

Subject: Social Sciences, Psychology Keywords: Public Safety Personnel; First Responders; Mental Disorders; Mental Health; Well-Being; Trauma; Operational Stress Injuries; Post-Traumatic Stress Injuries; Resilience; Peer Support; Paramedics; Emergency Medical Services

Online: 27 January 2022 (13:57:44 CET)

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Preprint ARTICLE | doi:10.20944/preprints202003.0222.v1

Correlation of Essential Servant Leadership Behaviors, Perceived Organizational Support, and Employee Well-Being

Bruce Winston

Subject: Social Sciences, Behavior Sciences Keywords: servant leadership; perceived organizational support; employee well-being; correlation

Online: 13 March 2020 (02:53:46 CET)

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Preprint ARTICLE | doi:10.20944/preprints202006.0315.v1

Psychological Factors Influencing Pro-Environmental Behavior in Developing Countries: Evidence from Colombian and Nicaraguan Students

Manuel Díaz, Andrés Charry, Stefania Sellitti, Matteo Ruzzante, Karen Enciso, Stefan Burkart

Subject: Social Sciences, Behavior Sciences Keywords: awareness of sustainability; education; psychological adaptation; environmental attitudes; policy support

Online: 26 June 2020 (12:43:46 CEST)

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Preprint REVIEW | doi:10.20944/preprints201805.0478.v1

Media Health Literacy, eHealth Literacy, and the Role of the Social Environment in Context

Diane Levin-Zamir, Isabella Bertschi

Subject: Social Sciences, Behavior Sciences Keywords: health literacy; media health literacy; ehealth literacy; social environment; health apps; social support; digital health; empowerment

Online: 31 May 2018 (11:45:44 CEST)

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Preprint COMMUNICATION | doi:10.20944/preprints201806.0053.v1

Petroleum Sludge as Raw Material for Cement Clinker Production

Ali Benlamoudi, Aeslina Abdul Kadir, Mohamed Khodja

Subject: Engineering, Chemical Engineering Keywords: petroleum sludge; cement clinker; free lime content; burnability

Online: 5 June 2018 (08:32:29 CEST)

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

The Government Support and the Innovation of the New Energy Firms

Weijian Du, Mengjie Li

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

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

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Preprint ARTICLE | doi:10.20944/preprints201708.0007.v1

Identification of Microbial Indicators and Free Living Protozoa in Natural Mineral Water Using Cultural and Molecular Methods.

Michele Totaro, Beatrice Casini, Paola Valentini, Mario Miccoli, Pier Luigi Lopalco, Angelo Baggiani

Subject: Biology And Life Sciences, Immunology And Microbiology Keywords: natural mineral water; free living protozoa; Nontuberculous mycobacteria; Legionella; qPCR

Online: 3 August 2017 (09:11:03 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201705.0124.v1

Walking across rural-urban fringe: the hindering effect of intersections

Ivan Blecic, Tanja Congiu, Dario Canu, Giovanna Fancello

Subject: Social Sciences, Urban Studies And Planning Keywords: rural-urban fringe; walkability; road intersections; decision support methods; Electre Tri

Online: 16 May 2017 (13:50:46 CEST)

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Preprint REVIEW | doi:10.20944/preprints201710.0094.v1

Label Free Biosensor Methods in Detection of Food Pathogens and Listeria monocytogenes

Rajeswaran Radhakrishnan, Palmiro Poltronieri

Subject: Chemistry And Materials Science, Analytical Chemistry Keywords: Listeria monocytogenes; label-free biosensors; Surface Plasmon Resonance (SPR); Electrochemical Impedance Spectroscopy (EIS)

Online: 13 October 2017 (17:15:10 CEST)

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Preprint REVIEW | doi:10.20944/preprints201705.0003.v3

Introducing Sustainability in Value Models to Support Design Decision Making: A Systematic Review

Marco Bertoni

Subject: Engineering, Industrial And Manufacturing Engineering Keywords: sustainability; value modeling; decision support; value driven design; review

Online: 12 June 2017 (13:51:25 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201801.0022.v1

Development of Phaleria macrocarpa (Scheff.) Boerl Fruits Using Response Surface Methodology On Phenolic, Flavonoid and Antioxidants Properties

Khurul Ain Mohamed Mahzir, Siti Salwa Abdul Gani, Nor Fadzillah Mokhtar

Subject: Chemistry And Materials Science, Analytical Chemistry Keywords: Phaleria macrocarpa; extraction; free radical scavenging activity (DPPH); ferric ion reducing power assay (FRAP); total phenolic content (TPC); total flavonoid content (TFC); response surface methodology (RSM)

Online: 3 January 2018 (10:15:16 CET)

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Preprint ARTICLE | doi:10.20944/preprints202103.0455.v1

Implementation of TQM and the Integration of BIM in the Construction Management Sector in Saudi Arabia Validated with Hybridized Emerging Harris Hawks Optimization (HHO)

Mohammad Abazid, Hüseyin Gökçekuş, Tahir Celik

Subject: Engineering, Automotive Engineering Keywords: Total Quality Management; construction projects; Saudi Arabia; Harris-hawks optimization; support vector regression

Online: 17 March 2021 (17:01:02 CET)

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Preprint ARTICLE | doi:10.20944/preprints201807.0408.v1

Maritime Workers’ Quality of Life: Organizational Culture, Self-efficacy, and Perceived Fatigue

Jae hee Kim, Soong-nang Jang

Subject: Public Health And Healthcare, Public, Environmental And Occupational Health Keywords: quality of work life; organizational culture; organizational support; self-efficacy; maritime workers; culture-work-health model

Online: 23 July 2018 (10:00:06 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202105.0255.v1

Shared Data Set for Free-Text Keystroke Dynamics Authentication Algorithms

Augustin-Catalin Iapa, Vladimir-Ioan Cretu

Subject: Computer Science And Mathematics, Information Systems Keywords: keystroke dynamics; typing pattern; keystroke data set; user authentication; user identification; free text typing; keystroke dynamics researches; keystroke analysis; biometrics; keystroke characteristics

Online: 11 May 2021 (15:50:34 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201709.0056.v1

Solvent Free Synthesis and Safener Activity of Sulfonylurea Benzothiazolines

Ying Fu, Jing-Yi Wang, Dong Zhang, Yu-Feng Chen, Shuang Gao, Li-Xia Zhao, Fei Ye

Subject: Chemistry And Materials Science, Organic Chemistry Keywords: active subunit combination; sulfonylurea benzothiazoline; solvent-free synthesis; safener activity

Online: 14 September 2017 (10:01:38 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201910.0100.v1

One Step Mechanosynthesis of Graphene Oxide Directly from Graphite

Victor Ibarra, Demetrio Mendoza, Alma Sanchez, Rosa Vazquez, Karina Aleman, Marius Ramirez, Victor Castano

Subject: Physical Sciences, Applied Physics Keywords: graphene; graphene oxide; mechanochemistry; solvent-free; one-step

Online: 9 October 2019 (10:39:18 CEST)

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Preprint REVIEW | doi:10.20944/preprints202306.0505.v1

A Free Space Material Measurement System

Renukka Sivakumar, Saidatul Norlyana Azemi, Lee Yengseng, Kok Yeow You, Ping Jack Soh

Subject: Engineering, Electrical And Electronic Engineering Keywords: material measurement techniques; dielectric properties; free space measurement systems.

Online: 7 June 2023 (07:53:41 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201803.0267.v1

Facile Synthesis of High Molecular Weight Polypeptides via Surface-Initiated Vapor Deposition Polymerization

Chih-Tsung Yang, Jen-Chia Wu, Ying-Chih Chang

Subject: Chemistry And Materials Science, Chemical Engineering Keywords: surface-initiated vapor deposition polymerization; N-carboxyanhydrides; ring-opening polymerization; poly (γ-benzyl L-glutamate); solvent-free polymerization; solid state polypeptide synthesis

Online: 30 March 2018 (10:08:14 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201709.0114.v1

Seawater Temperature Prediction Method for Sustainable Marine Aquaculture

Takanobu Otsuka, Yuji Kitazawa, Takayuki Ito

Subject: Computer Science And Mathematics, Information Systems Keywords: WSN; IoT; seawater temperature prediction; marine aquaculture support

Online: 23 September 2017 (11:31:13 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201908.0318.v1

Epistemological and Ethical Implications of the Free Energy Principle

Eray Özkural

Subject: Computer Science And Mathematics, Computer Science Keywords: AI; ethics; safety; autonomy; free energy principle; reductionism; symbiosis

Online: 30 August 2019 (07:42:42 CEST)

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The free energy principle states that self-organization occurs through minimization of free energy, which is a measure of potential thermodynamic work. By minimizing free energy, the organism happens to also minimize surprise over its boundary, promoting chances of survival. We discuss the ethical implications of the cognitive goal in detail from an empirical point of view, highlighting the principle of least action as a physical basis of Occam's razor, the universality of the free energy principle, and its explanation of natural selection. We explain that the free energy principle extends to groups of organisms and helps us understand group-scale adaptations and selection in biology. The free energy principle applies to all scales of organization in the organism from single cells to the entire nervous system. When this principle is taken to its logical extremes of modeling groups, populations and ecosystems, we uncover a new, evolutionarily sensible path at explaining puzzling aspects of human motivation and judgement, including ethical decisions. To minimize free energy, populations have to act to maximize gathering of information, while building effective models at mitigating changes to its dynamic structure. The free energy principle thus provides a naturalistic explanation of some of our deepest ethical intuitions, and valuable principles of social behavior. We interpret the cognitive goal that corresponds to the principle as seeking a dynamic, fruitful, yet peaceful activity that sustains the organism. This state of mind is interestingly similar to the Buddhist intuition of mental equanimity; the organism's final goal is to be at peace and harmony with the environment. Another immediately relevant aspect is that assemblies must form to promote symbiotic, synergistic, positive feedback loops, which coincides with the findings of ecologists. Therefore, ethics naturally emerges in self-organizing systems. Assemblies of organisms must ultimately unite in macro-minds to achieve the greatest reduction in free energy, as well as building technological extensions of themselves to improve their capacity to do such, therefore the principle also predicts a post-singularity world-mind composed mostly of artificial intelligence.

Preprint ARTICLE | doi:10.20944/preprints202107.0638.v1

Leaf Diseases Detection of Medicinal Plants based on Image Processing and Machine Learning Processes

Payal Bose, SHAWNI DUTTA, Vishal Goyal, Samir K. Bandyopadhyay

Subject: Biology And Life Sciences, Plant Sciences Keywords: Image Processing; Automated Plant Diseases Detection; Histogram Oriented Gradient (HOG); Local Binary Pattern (LBP); Support Vector Machine (SVM)

Online: 28 July 2021 (17:18:04 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202007.0592.v1

Perceived Organizational Support and Career Adaptability as Predictors of Self and Environmental-career Exploration: An Empirical Investigation in China

Yin Ma, Shih-Chih Chen, Athapol Ruangkanjanases

Subject: Business, Economics And Management, Business And Management Keywords: higher education expansion; sustainable employment; perceived organizational support; career adaptability; self-exploration; environment exploration; sustainable career guidance; sustainability competencies

Online: 24 July 2020 (14:12:38 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201710.0127.v1

Revealing ETC-1922159 Affected Unknown 3^rd order WNT10B-X-X Combinations, in Silico

shriprakash sinha

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: WNT pathway; porcupine inhibitor ETC-1922159; sensitivity analysis; colorectal cancer; unknown biological hypotheses; combinatorial search space; support vector ranking

Online: 18 October 2017 (05:58:17 CEST)

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WNT10B belongs to the family of WNT proteins that are implicated in a range of phenomena that are affected by the Wnt signaling pathway. Recent studies have shown that WNT10B plays a role in colorectal cancer. WNTs have been found to directly affect the stemness of the tumor cells via regulation of ASCL2. Switching off the ASCL2 literally blocks the stemness process of the tumor cells and vice versa. Furthermore, recent findings suggest BVES to be highly suppressed in malignancies and in vitro deletions of BVES show higher Wnt signaling activity to induce stem- ness. WNT10B was found to be highly expressed in such cases. Often, in biology, we are faced with the problem of exploring relevant unknown biological hypotheses in the form of myriads of combination of factors that might be affecting the pathway under certain conditions. For example, WNT10B-ASCL2 is one such 2^ndorder combination whose relation needs to be tested under the influence of recently developed porcupine-WNT inhibitor ETC-1922159. The inhibitor is known to suppress PORCN (porcupine) and thus inhibit a range of oncogenes known to be directly or indirectly affected by the Wnts. In a recent unpublished work in bioRxiv, Sinha 1, we had the opportunity to rank these unknown biological hypotheses for down regulated genes at 2^ndorder level after the drug was administered. The in silico observations showed that the combination of WNT10B-ASCL2 was assigned a relatively lower rank, thus validating the pipeline’s efficacy with the confirmed wet lab experiment that indicate that both WNT10B and ASCL2 were down regulated after treatment in cancer cells. Here, we take one step further by in silico analysis of the 3rd order combinations of WNT10B-X-X (X can be known or unknown factor), from a range of 100 randomly picked down regulated genes after ETC-1922159 treatment. The pipeline uses the density based HSIC (Hilbert Schmidt Information Criterion) sensitivity index with an rbf (ra- dial basis function) kernel, which is known to be highly effective in sensitivity analysis. Various unknown/unexplored/untested 3^rdorder biological hypotheses emerge some of which are con- firmed in wet lab, while others need to be tested. The potential of such ranking is indispensable in the current era of search in a vast combinatorial forest.

Preprint ARTICLE | doi:10.20944/preprints201711.0160.v1

Assessing the Performances of Protein Function Prediction Algorithms from the Perspectives of Identification Accuracy and False Discovery Rate

Chunyan Yu, Xiaoxu Li, Hong Yang, Yinghong Li, Weiwei Xue, Yuzong Chen, Lin Tao, Feng Zhu

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: false discovery rate; machine learning; protein function prediction; support vector machine; BLAST

Online: 24 November 2017 (11:14:05 CET)

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The knowledge of protein function is essential for the study of biological processes, the understanding of disease mechanism and the exploration of novel therapeutic target. Apart from experimental methods, a number of in-silico approaches have been developed and extensively used for protein function prediction. Among these approaches, BLAST predicts functions based on protein sequence similarity, and machine learning predicts functional families from protein sequences irrespective of their similarity, which complements BLAST and other methods in predicting diverse classes of proteins including distantly related proteins and homologous proteins of different functions. However, their identification accuracies and the false discovery rate have not yet been assessed so far, which greatly limits the usage of these prediction algorithms. Herein, a comprehensive comparison of the performances among four popular functional prediction algorithms (BLAST, SVM, PNN and KNN) was conducted. In particular, the performance of these algorithms were systematically assessed by four metrics (sensitivity, specificity, accuracy and Matthews correlation coefficient) based on the independent test datasets generated from 93 protein families defined by UniProtKB Keywords. Moreover, the false discovery rates of these algorithms were evaluated by scanning the genomes of four representative model species (homo sapiens, arabidopsis thaliana, saccharomyces cerevisiae and mycobacterium tuberculosis). As a result, the substantially higher sensitivity and stability of BLAST and SVM were observed compared with that of PNN and KNN. But the machine learning algorithms (PNN, KNN and SVM) were found capable of significantly reducing the false discovery rate (SVM < PNN ≈ KNN). In summary, this study comprehensively assessed the performance of four popular algorithms applied to protein function prediction, which could facilitate the selection of the most appropriate method in the related biomedical research.

Preprint ARTICLE | doi:10.20944/preprints201811.0578.v1

Framing Access and Exclusion for Arab Countries in WTO Affairs

Bashar H. Malkawi

Subject: Social Sciences, Law Keywords: WTO, Arab countries, international trade, free trade, accession, dispute settlement

Online: 26 November 2018 (09:57:36 CET)

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Preprint ARTICLE | doi:10.20944/preprints201807.0624.v1

Potentiality and Limitations of Open Satellite Data for Flood Mapping

Davide Notti, Daniele Giordan, Fabiana Calò, Antonio Pepe, Francesco Zucca, Jorge Pedro Galve

Subject: Environmental And Earth Sciences, Environmental Science Keywords: flood mapping; Multispectral; SAR; free satellite data; Ebro basin; Po basin

Online: 31 July 2018 (12:45:03 CEST)

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Preprint SHORT NOTE | doi:10.20944/preprints202105.0017.v1

Production of Hardened Body by Direct Bonding of Sand Particles

Yuya Sakai

Subject: Engineering, Automotive Engineering Keywords: Sand, Cement-Free, Catalyst

Online: 4 May 2021 (13:44:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202012.0714.v1

Towards a Biomanufactory on Mars

Aaron Berliner, Jacob M. Hilzinger, Anthony J. Abel, Matthew McNulty, George Makrygiorgos, Nils J.H. Averesch, Soumyajit Sen Gupta, Alexander Benvenuti, Daniel Caddell, Stefano Cestellos-Blanco, Anna Doloman, Skyler Friedline, Desiree Ho, Wenyu Gu, Avery Hill, Paul Kusuma, Isaac Lipsky, Mia Mirkovic, Jorge Meraz, Vince Pane, Kyle B. Sander, Fengzhe Shi, Jeffrey M. Skerker, Alexander Styer, Kyle Valgardson, Kelly Wetmore, Sung-Geun Woo, Yongao Xiong, Kevin Yates, Cindy Zhang, Shuyang Zhen, Bruce Bugbee, Devin Coleman-Derr, Ali Mesbah, Somen Nandi, Robert W. Waymouth, Peidong Yang, Craig S. Criddle, Karen A. McDonald, Amor A. Menezes, Lance C. Seefeldt, Douglas S. Clark, Adam P. Arkin

Subject: Engineering, Automotive Engineering Keywords: space systems bioengineering; human exploration; mars; in situ resource utilization; life support systems; biomanufacturing

Online: 29 December 2020 (07:57:37 CET)

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Preprint ARTICLE | doi:10.20944/preprints202110.0217.v1

Efficiency Comparison of Hydro Turbines in a Micro Generator System from Free-flow Vortex

Piyawat Sritram, Ratchaphon Suntivarakorn

Subject: Engineering, Energy And Fuel Technology Keywords: Gravitational vortex; Free-flow vortex; Cross flow turbine; Propeller turbine.

Online: 14 October 2021 (13:00:14 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201710.0032.v1

What do Users Really Want? Participatory Development of Decision Support Tools for Environmental Management based on Outcomes.

Richard J. Hewitt, C.J.A. Macleod

Subject: Social Sciences, Geography, Planning And Development Keywords: Environmental decision support systems; applications; outcome-based approach; adaptive management; user requirements; environmental management; participatory land planning

Online: 6 October 2017 (08:51:07 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202009.0001.v1

Polarity Free Magnetic Repulsion and Magnetic Bound State

Hamdi Ucar

Subject: Physical Sciences, Applied Physics Keywords: magnetic bound state; magnetic levitation; polarity free repulsion; magnetic trapping

Online: 1 September 2020 (03:01:47 CEST)

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Preprint REVIEW | doi:10.20944/preprints202111.0035.v1

Anjali N, Rajkumar Kannan, Frederic Andres, Gheorghita Ghinea

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Fruits & Vegetables; Classification; Convolutional Neural Network; Support Vector Machine; Defect detection

Online: 2 November 2021 (10:31:56 CET)

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Preprint ARTICLE | doi:10.20944/preprints201807.0288.v1

A Methylcellulose Hydrogel as Support for 3D Plotting of Complex Shaped Calcium Phosphate Scaffolds

Tilman Ahlfeld, Tino Köhler, Charis Czichy, Anja Lode, Michael Gelinsky

Subject: Chemistry And Materials Science, Biomaterials Keywords: calcium phosphate cement; methylcellulose; 3D plotting; support; hydroxyapatite

Online: 16 July 2018 (12:55:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201710.0013.v1

Dynamic Scheduling of a Semiconductor Production Line Based on Composite Rule Set

Yumin Ma, Fei Qiao, Fu Zhao, John W. Sutherland

Subject: Engineering, Industrial And Manufacturing Engineering Keywords: Dynamic Scheduling; Semiconductor Manufacturing; Composite Rule Set; Support Vector Regression (SVR)

Online: 3 October 2017 (08:29:45 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202003.0298.v1

A Composite Hybrid Feature Selection Learning-Based Optimization of Genetic Algorithm For Breast Cancer Detection

Ahmed Abdullah Farid, Gamal Selim, Hatem Khater

Subject: Computer Science And Mathematics, Information Systems Keywords: Data Mining; Breast Cancer; Hybrid Feature Selection; Machine learning; Support Vector Machine; Optimize Genetic Algorithm; boosting algorithms

Online: 19 March 2020 (11:13:15 CET)

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Preprint ARTICLE | doi:10.20944/preprints201806.0284.v1

Next-Generation Counseling: Noninvasive Prenatal Screening Results Disclosure and Management

Aishwarya Arjunan, Rotem Ben-Shachar, Jamie Kostialik, Katherine Johansen Taber, Gabriel Lazarin, Elizabeth Denne, Dale Muzzey, Carrie Haverty

Subject: Medicine And Pharmacology, Obstetrics And Gynaecology Keywords: cell-free DNA analysis; genetic counseling; noninvasive prenatal screening; prenatal screening; results delivery; telehealth

Online: 19 June 2018 (03:45:49 CEST)

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Background: As noninvasive prenatal screening usage grows in the general obstetrics setting, proper patient education on the screen’s benefits and limitations is needed. Objective: Describe the use of a technology platform designed for large-scale dissemination of noninvasive prenatal screening information and results. Study Design: The technology platform functioned as follows: Patients were emailed a link to an noninvasive prenatal screening general-education video upon laboratory receipt of a test requisition. Providers were then notified upon availability of patients’ results. If noninvasive prenatal screening results were negative, the patient was sent an automated email with instructions to access results through a secure portal where she could watch tailored informational videos, request “on-demand” or scheduled genetic counseling, or decline any further services. If genetic counseling was elected, a summary of the session was sent to the ordering provider and patient upon completion. If noninvasive prenatal screening results were positive, either the ordering provider or a board-certified genetic counselor contacted the patient directly to communicate test results and provide counseling. The number and type of results issued through the platform, the number and type of genetic counseling consultations completed, and factors associated with requesting laboratory-delivered genetic counseling were tracked and analyzed for a 39-month period. Results: Over the study period, 67,122 noninvasive prenatal screening results were issued through the platform, and 4,673 patients elected genetic counseling consultations; 95.2% (n=4,450) of consultations were for patients receiving negative results. Over 70% (n= 3,370) of consultations were on-demand rather than scheduled. Median consultation time was 14 minutes for positive results and six minutes for negative results. A positive screen, advanced maternal age, family history, previous history of a pregnancy with a chromosomal abnormality, and other high-risk pregnancy were associated with the greatest odds of electing laboratory-delivered genetic counseling. Conclusions: By combining web education, automated notifications, and genetic counseling, we implemented a service that effectively facilitates results disclosure for ordering providers. These data demonstrate the capability to deliver noninvasive prenatal screening results, education, and counseling—congruent with management guidelines—to a large population, which is imperative to quality care as uptake increases.

Preprint ARTICLE | doi:10.20944/preprints201711.0008.v1

Revealing ETC-1922159 Affected Unknown 3^rd Order Combinations of DNA Repair & Genomic Stability Factor RAD51 Family, in Silico

Shriprakash Sinha

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: WNT pathway; porcupine inhibitor ETC-1922159; sensitivity analysis; colorectal cancer; unknown biological hypotheses; combinatorial search space; support vector ranking; DNA repair and genomic stability factor RAD51

Online: 1 November 2017 (05:08:04 CET)

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DNA repair helps in maintaining the proper and healthy functioning for the cells in the human body. Failure in DNA repair process can lead to aberrations as well as tumorous stages. There are various types of damages that a DNA can go through, one of which is the DNA double strand breaks (DSB) that can be repaired via homologous recombination (HR). RAD51 plays a central role in HR and has been implicated as a negative/poor prognostic marker for colorectal adenocarcinoma, with high expression in colorectal cancer. Mechanistically, RAD51AP1 facilitates RAD51 during the repairing process by binding with RAD51 via two DNA binding sites, thus helping in the D-loop formation in the HR process. Often, in biology, we are faced with the problem of exploring relevant unknown biological hypotheses in the form of myriads of combination of factors that might be affecting the pathway under certain conditions. For example, RAD51AP1-XRCC2 is one such 2^nd order combination whose relation needs to be tested under the influence recently developed Porcupine-WNT inhibitor ETC-1922159. The x-ray repair cross complementing XRCC family is known to work as a mediator or stabilizer for RAD51 during the HR process. The inhibitor is known to suppress Porcupine and thus inhibit a range of oncogenes known to be directly or indirectly affected by the Wnts. In a recent unpublished work in bioRxiv, we had the opportunity to rank these unknown biological hypotheses for down regulated genes at 2^nd order level after the drug was administered. The in silico observations showed that the combination of RAD51AP1-XRCC2 was assigned a relatively lower rank, thus validating the pipeline's efficacy with the confirmed wet lab experiment that indicate that both RAD51AP1 and XRCC2 were down regulated after treatment in cancer cells. Here, we take one step further by in silico analysis of the 3^rd order combinations of RAD51-X-X & RAD51AP1-X-X (X can be known or unknown factor), from a range of 100 randomly picked down regulated genes after ETC-1922159 treatment. The pipeline uses the density based HSIC (Hibert Schmidth Information Criterion) sensitivity index with an rbf (radial basis function) kernel, which is known to be highly effective in sensitivity analysis. Various unknown/unexplored/untested RAD51/RAD51AP1 related 3^rd order biological hypotheses emerge some of which are confirmed in wet lab, while others need to be tested.

Preprint ARTICLE | doi:10.20944/preprints201808.0095.v1

Supported Bimetallic AuPd Nanoparticles as Catalyst for the Solvent-Free Selective Hydrogenation of Nitroarenes

Ruiyang Qu, Margherita Macino, Sarwat Iqbal, Xiang Gao, Qian He, Graham J. Hutchings, Meenakshisundaram Sankar

Subject: Chemistry And Materials Science, Applied Chemistry Keywords: bimetallic nanoparticles, solvent free hydrogenation, nitrobenzene and chloronitrobenzene.

Online: 5 August 2018 (23:00:14 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201805.0133.v1

In Silico Evaluation of the Antioxidant Potential of Two Caffeine Analogs with Recognized Epithelial Anticancer Potential

Josivan da Silva Costa, Cleydson Breno Rodrigues dos Santos, Karina da Silva Lopes Costa, Ryan da Silva Ramos, Davi do Socorro Barros Brasil, Rosivaldo dos Santos Borges, Joaquín María Campos Rosa, Williams Jorge da Cruz Macêdo

Subject: Chemistry And Materials Science, Medicinal Chemistry Keywords: antioxidant potential; molecular docking; molecular descriptors; binding free energy; free radicals; oxidative stress

Online: 8 May 2018 (15:38:38 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201709.0110.v1

Dynamics of Dual Scale-Free Polymer Networks

Mircea Galiceanu, Luan Tota de Carvalho, Oliver Mülken, Maxim Dolgushev

Subject: Physical Sciences, Mathematical Physics Keywords: polymer networks; scale-free networks; mechanical relaxation; eigenvalue problem

Online: 22 September 2017 (16:21:16 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201804.0332.v1

Efficacy of a Gluten-Free Diet in the Gilles de la Tourette Syndrome: A Pilot Study

Luis Rodrigo, Nuria Álvarez, Enrique Fernández-Bustillo, Javier Salas-Puig, Marcos Huerta, Carlos Hernández-Lahoz

Subject: Medicine And Pharmacology, Neuroscience And Neurology Keywords: Gilles de la Tourette syndrome (GTS); children and adults; motor and vocal/phonic tics; obsessive-compulsive disorder (OCD); non-coeliac gluten sensitivity (NCGS); gluten-free diet; one-year adherence

Online: 26 April 2018 (06:26:55 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201808.0125.v1

Applied Robot Coverage Path Planning with Multiple Decision Making Capability under Uncertainty using Knowledge Inference with Hedge Algebras

Hai Van Pham, Philip Moore

Subject: Computer Science And Mathematics, Robotics Keywords: robotics; coverage path-planning; knowledge reasoning and inference; hedge algebras; decision-support systems

Online: 6 August 2018 (14:06:19 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201908.0289.v1

Artificial Intelligence and Convolutional Neural Network for Recognition of Human Interaction by Video from Drone

Ghazal Shamsipour, Saied Pirasteh

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: drone video; human action recognition; CNN; Support vector machine (SVM)

Online: 28 August 2019 (03:52:22 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202107.0675.v1

Vertically Aligned Binder-Free TiO₂ Nanotube Arrays Doped with Fe, S and Fe-S for Li-ion Batteries

Suriyakumar Dasarathan, Mukarram Ali, Tai-Jong Jung, Junghwan Sung, Yoon-Cheol Ha, Jun Woo Park, Doohun Kim

Subject: Chemistry And Materials Science, Biomaterials Keywords: Li-ion batteries; Binder-free electrodes; TiO2 nanotube arrays; Electrochemical anodization; Elemental doping

Online: 30 July 2021 (09:06:37 CEST)

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Preprint COMMUNICATION | doi:10.20944/preprints202207.0329.v1

Biomanufacturing for Space-Exploration – What to Take and When to Make

Nils J.H. Averesch, Aaron J. Berliner, Shannon N. Nangle, Spencer Zezulka, Gretchen L. Vengerova, Davian Ho, Cameran A. Casale, Benjamin A.E. Lehner, Jessica E. Jessica Snyder, Kevin B. Clark, Lewis R. Dartnell, Craig S. Criddle, Adam P. Arkin

Subject: Engineering, Bioengineering Keywords: in-space biomanufacturing; space synthetic biology; space bioprocess engineering; biological life-support systems; in situ resource utilization; circular economy

Online: 21 July 2022 (11:01:29 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.0142.v1

ChatGPT as an Academic Advisor: Its Current State and Future Potential Toward Student Empowerment

Daisuke Akiba, Michelle Fraboni

Subject: Social Sciences, Education Keywords: AI; academic advising; artificial intelligence; advising; chatbot; ChatGPT; higher education; student success; student support

Online: 2 August 2023 (04:13:15 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202012.0221.v1

Building a Laboratory at a Primarily Undergraduate Institution (PUI)

Caroline Dahlberg, Christina King-Smith, Blake Riggs

Subject: Social Sciences, Education Keywords: PUI (primarily undergraduate institution); laboratory; start-up; negotiation; undergraduate; support; funding; equipment; mentorship; community

Online: 9 December 2020 (11:16:48 CET)

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Scientists who are interested in building research programs at primarily-undergraduate institutions (PUIs) have unique considerations compared to colleagues at research-intensive (R1) institutions. Maintaining a research program at a PUI holds unique challenges that should be considered before prospective faculty go on the job market, as they negotiate a job offer, and after they begin a new position. In this article we describe some of the considerations that aspiring and newly hired faculty should keep in mind as they plan out how they will set up a laboratory as a new Principle Investigator (PI) at a PUI. Anyone hoping to start a research program at a PUI should understand both the timeframe of interviews, job offers, and negotiations and the challenges and rewards of working with undergraduate researchers. Once a job is offered, candidates should be aware of the range of negotiable terms that can be part of a start-up package. Space and equipment considerations are also important, and making the most of shared spaces, existing infrastructure, and deals can extend the purchasing power of start-up funds as a new PIs builds their lab. PUIs’ focus on undergraduate education and mentorship leads to important opportunities for collaboration, funding, and bringing research projects directly into undergraduate teaching laboratories. A major focus of any new laboratory leader must be on building a productive, equitable, and supportive laboratory community. Equitable onboarding, mentorship plans, and formalized expectations, can all help build a productive and sustainable laboratory research program. However, important considerations about safety, inclusion, student schedules, and a PI’s own professional commitments are also extremely important concerns when working with undergraduates in research. A successful research program at a PUI will bring students into meaningful scientific inquiry and requires insights and skills that are often not the focus of scientific training. This article aims to describe the scope of setting up a new laboratory as a way to alleviate some of the burden that new and prospective faculty often feel.

Preprint COMMUNICATION | doi:10.20944/preprints202012.0589.v1

Application of Molecular Weight Regulators for the Synthesis of Sodium Polyacrylate Thinners of Mineral Suspensions

Dmitry Belov

Subject: Chemistry And Materials Science, Biomaterials Keywords: mineral suspension; thinner; free radical polymerization; molecular weight regulator; sodium polyacrylate

Online: 23 December 2020 (13:50:07 CET)

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Preprint ARTICLE | doi:10.20944/preprints201805.0437.v1

Phytochemical and Biological Investigation of Jatropha pelargoniifolia Root Native to the Kingdom of Saudi Arabia

Hanan Y. Aati, Ali A. El Gamal, Oliver Kayser

Subject: Chemistry And Materials Science, Medicinal Chemistry Keywords: Jatropha pelargoniifolia; alkaloids; flavonoids; coumarinolignans; diterpenes; anti-inflammatory; antinociceptive; antipyretic; free radical scavenging

Online: 30 May 2018 (06:15:42 CEST)

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Preprint REVIEW | doi:10.20944/preprints202009.0086.v1

Molecular Pharming to Support Human Life on the Moon, Mars, and Beyond

Matthew J. McNulty, Yongao Xiong, Kevin Yates, Kalimuthu Karuppanan, Jacob M. Hilzinger, Aaron J. Berliner, Jesse Delzio, Adam P. Arkin, Nancy E. Lane, Somen Nandi, Karen A. McDonald

Subject: Biology And Life Sciences, Biology And Biotechnology Keywords: life support for space; plant molecular pharming

Online: 4 September 2020 (07:31:34 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201709.0009.v1

Using Different Algorithms and Multi-Seasonal, Textural and Ancillary Information to Increase Classification Accuracy during the Period 2000–2015 in a Mediterranean Semiarid Area

Francisco Gomariz-Castillo, Francisco Alonso-Sarría, Fulgencio Cánovas-García

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: machine learning; sequential maximum a posteriori; random forest; support vector machines; land use classification; textural information; contextual information

Online: 4 September 2017 (10:43:26 CEST)

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