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Preprint ARTICLE | doi:10.20944/preprints202407.2213.v1

AI Tools as Supplementary Support in Language Acquisition

Peter C. Abernathy

Subject: Social Sciences, Language And Linguistics Keywords: AI tools; artificial tools; education; language acquisition; supplementary support

Online: 29 July 2024 (05:14:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.1419.v1

The Original and A Saudi-Modified Screening Tools for The Assessment of Malnutrition in Pediatrics: Diagnostic Accuracy cross-sectional Study

Sheikha AlQahtani, Khalid Aldubayan, Saleh AlShehri, Ghada Almuhareb, Amal Mahnashi

Subject: Medicine And Pharmacology, Dietetics And Nutrition Keywords: pediatric malnutrition; validation; screening tools

Online: 20 August 2024 (15:34:18 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202310.0424.v1

The Analysis of Requirements Engineering Tools for the Needs of Practitioners

Mert Ozkaya, Geylani Kardas, Mehmet Alp Kose

Subject: Computer Science And Mathematics, Software Keywords: requirements engineering; tools; survey; practitioners

Online: 8 October 2023 (04:42:34 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.0414.v1

Artificial Intelligence Tools and the Future of Librarians

Sankhayan Mukherjee, Swapan Patra

Subject: Social Sciences, Library And Information Sciences Keywords: Library and Information Science; Artificial Intelligence; Chatbots; Literature Review Tools; Information Resilience; Plagiarism Detection Tools

Online: 5 April 2024 (06:19:31 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202309.0869.v1

Optimising Patient Flow from the Perspectives of Key Stakeholders

Pieter Jan Van Dam, Mitchell Dwyer, Malgorzata O'Reilly, Sarah Jane Prior, James Montgomery, Richard Turner

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: patient flow; lean; communication; complexity; tools

Online: 13 September 2023 (09:37:43 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.1517.v1

The Random Vibrations of the Active Body of the Cultivators

PETRU CARDEI, Nicolae Constantin, Vergil Muraru, Catalin Persu, Raluca Sfiru, Nicolae-Valentin Vladut, Nicoleta Ungureanu, Mihai Matache, Cornelia Muraru-Ionel, Oana-Diana Cristea, Evelin-Anda LAZA

Subject: Biology And Life Sciences, Agricultural Science And Agronomy Keywords: random; vibrations; tillage; tools; complex; cultivator

Online: 21 July 2023 (11:39:13 CEST)

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Preprint REVIEW | doi:10.20944/preprints202205.0071.v1

Malnutrition Screening and Assessment

Carlos Serón-Arbeloa, Lorenzo Labarta-Monzón, José Puzo-Foncillas, Tomas Mallor-Bonet, Alberto Lafita-López, Néstor Bueno-Vidales, Miguel Montoro-Huguet

Subject: Medicine And Pharmacology, Dietetics And Nutrition Keywords: nutrition screening tools; malnutrition; nutritional assessment

Online: 6 May 2022 (10:01:24 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202002.0097.v1

PyRosetta Jupyter Notebooks Teach Biomolecular Structure Prediction and Design

Kathy Le, Jared Adolf-Bryfogle, Jason Klima, Sergey Lyskov, Jason Labonte, Steven Bertolani, Shourya Roy Burman, Andrew Leaver-Fay, Brian Weitzner, Jack Maguire, Ramya Rangan, Matt Adrianowycz, Rebecca Alford, Aleexan Adal, Morgan Nance, Rhiju Das, Roland Dunbrack, William Schief, Brian Kuhlman, Justin Siegel, Jeffrey Gray

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: Protein structure and dynamics; Molecular structure and modeling; Protein and macromolecules; Computational methods and bioinformatics; Computer-based teaching tools; Learning materials and teaching tools; Multimedia teaching tools

Online: 7 February 2020 (11:42:09 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.0175.v1

Urban Energy Resilience and Strategic Urban Planning in Emilia-Romagna: Evidence from Three Cities

Giovanni Tedeschi

Subject: Engineering, Architecture, Building And Construction Keywords: urban planning tools; resilient city; sustainability; SECAPs.

Online: 2 February 2024 (14:43:17 CET)

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Preprint ARTICLE | doi:10.20944/preprints202308.1712.v1

Facilitating “Omics” to Phenotype Classification Using a User-Friendly AI-Driven Platform: Application to Cancer Prognostics

Uraquitan Lima Filho, Tiago Alexandre Pais, Ricardo Jorge Pais

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: software tools; bioinformatics; cancer prognostics; predictive modelling

Online: 24 August 2023 (07:23:11 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201812.0161.v1

Length Distortions of a Spindle Under the Influences of Temperatures Rising Duration Machining and Compensation Solution

Cao-Sang Tran, Wen-Yuh Jywe, Tung-Hsien Hsieh

Subject: Engineering, Industrial And Manufacturing Engineering Keywords: length compensation; non-bar system; machine tools

Online: 13 December 2018 (08:10:36 CET)

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Preprint ARTICLE | doi:10.20944/preprints201812.0013.v1

Flexible Abrasive Tools for Deburring and Finishing of Holes in Superalloys

Adrián Rodríguez, Asier Fernández, Luís Norberto López de la Calle, Leonardo Sastoque Pinilla

Subject: Engineering, Industrial And Manufacturing Engineering Keywords: flexible abrasive tools; finishing; rounding edge; superalloys

Online: 3 December 2018 (08:57:22 CET)

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Preprint ARTICLE | doi:10.20944/preprints202406.1060.v1

A Review on the Perks of Using ChatGPT in Education

Taylor Smith Heathen, David Evans Lin

Subject: Social Sciences, Language And Linguistics Keywords: Article Review; AI Tools; Artificial Intelligence; ChatGPT; Education

Online: 17 June 2024 (08:44:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202402.0795.v1

Critical Ergonomics and (Dis)comfort Factors While Performing Tasks with Hand Tools on a Ladder

Rosaria Califano, Antonio Auricchio, Mario Carbone, Lucio Dessì, Valentino Frasci, Angelo Landi, Alessandro Naddeo

Subject: Engineering, Safety, Risk, Reliability And Quality Keywords: working at height; ladder; discomfort; ergonomics; hand tools

Online: 14 February 2024 (10:59:02 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.0642.v1

Reduction of Scrap in Electric Motor Manufacturing for the Automotive Industry: A case study using PDCA Approach

Miguel-Angel Rangel-Sanchez, José-de-Jesús Urbina-González, Jose-Luis Carrera-Escobedo, Omar-Alejandro Guirette-Barbosa, Virgilio-Alfonso Murillo-Rodriguez, José-María Celaya-Padilla, Héctor-Antonio Durán-Muñoz, Oscar Cruz-Domínguez

Subject: Engineering, Industrial And Manufacturing Engineering Keywords: Plan-Do-Check-Act (PDCA); Scrap; Quality Tools

Online: 12 February 2024 (06:20:06 CET)

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Preprint REVIEW | doi:10.20944/preprints202312.0526.v1

Economics in Marine Spatial Planning

Ibrahim Issifu, Ilyass Dahmouni, Iria García–Lorenzo, U. Rashid Sumaila

Subject: Environmental And Earth Sciences, Environmental Science Keywords: marine spatial planning; decision support tools; economic analysis

Online: 7 December 2023 (12:02:45 CET)

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Preprint ARTICLE | doi:10.20944/preprints202304.0361.v1

Current Cut Points of Three Falls Risk Assessment Tools Are Inferior to Calculated Cut Points in Geriatric Evaluation and Management Units

Vivian Lee, Linda Appiah-Kubi, Sara Vogrin, Jesse Zanker, Joanna Mitropoulos

Subject: Medicine And Pharmacology, Other Keywords: Falls; Falls risk assessment tools; geriatric medicine; sarcopenia

Online: 14 April 2023 (09:38:29 CEST)

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Background: Falls risk assessment tools are used in hospital inpatient settings to identify pa-tients at increased risk of falls (which may be related to muscle loss/sarcopenia) to guide and target interventions for falls prevention. In 2022, Western Health, Melbourne, Australia, intro-duced a new falls risk assessment tool, the Western Health St. Thomas’ Risk Assessment Tool (WH-STRATIFY), a modified version of The Northern Hospital’s risk tool (TNH-STRATIFY), which replaced the Peninsula Health Risk Screening Tool (PH-FRAT). Aims: To determine the predictive accuracy of three falls risk assessment tools (PH-FRAT, TNH-STRATIFY and WH-STRATIFY) on admission to Geriatric Evaluation Management (GEM) units. Method: A retrospective observational study was conducted on four GEM units. Data was col-lected on 54 consecutive patients who fell during admission and 62 randomly sampled patients who did not fall between December 2020 and June 2021. Participants were scored against three falls risk assessment tools. The event rate Youden (Youden IndexER) indices were calculated and compared using default and optimal cut points to determine which tool was most accurate for predicting falls. Results: Using default cut points to compare falls assessment tools, TNH-STRATIFY had the highest predictive accuracy (Youden IndexER = 0.20, 95% confidence interval CI = 0.07, 0.34). The PH-FRAT (Youden IndexER = 0.01 and 95% CI = -0.04, 0.05) and WH-STRATIFY (Youden IndexER = 0.00 and 95% CI = -0.04, 0.03) were statistically equivalent and not predictive of falls compared to TNH-STRATIFY. When calculated optimal cut points were applied, predictive accuracy im-proved for PH-FRAT (Cut point 17, Youden IndexER = 0.14 and 95% CI = 0.01, 0.29) and WH-STRATIFY (Cut point 7, Youden IndexER = 0.18 and 95% CI = 0.00, 0.35). Overall, all tools had low predictive accuracy for falls. Conclusion: TNH-STRATIFY had the highest predictive accuracy for falls. The predictive accu-racy of WH-STRATIFY improved and was significant when the calculated optimal cut point was applied. The optimal cut points of falls risk assessment tools should be determined and validated in different clinical settings to optimise local predictive accuracy, enabling targeted falls risk mitigation strategies and resource allocation.

Preprint ARTICLE | doi:10.20944/preprints202110.0085.v1

The Impacts of Artificial Intelligence on Research in the Legal Profession

Samuel Maireg Biresaw

Subject: Social Sciences, Law Keywords: Artificial intelligence; Legal research; Disruption; Legal AI tools

Online: 5 October 2021 (13:04:06 CEST)

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Preprint REVIEW | doi:10.20944/preprints202103.0067.v1

Diagnostic Tools for Autism Spectrum Disorders by Sex: Analysis of Current Status and Future Lines

Esperanza Navarro-Pardo, Fernanda López-Ramón, Yurena Alonso-Esteban, Francisco Alcantud-Marín

Subject: Social Sciences, Psychology Keywords: Autism Spectrum Disorders; Diagnostic Tools; Sex; Differential Diagnostic.

Online: 2 March 2021 (10:05:57 CET)

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Working Paper REVIEW

Visualizing Protein Structures - Tools and Trends

Xavier Martinez, Matthieu Chavent, Marc Baaden

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: molecular graphics; protein visualization; software tools; virtual reality

Online: 12 January 2020 (16:26:54 CET)

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Preprint ARTICLE | doi:10.20944/preprints201805.0054.v1

‘Smart’ Tools for Socially-Sustainable Transport

Mahtot Gebresselassie, Thomas W. Sanchez

Subject: Environmental And Earth Sciences, Sustainable Science And Technology Keywords: smart transport tools; ‘smart’ and sustainable; social-sustainability

Online: 3 May 2018 (08:17:38 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.0735.v1

Development of a Script to Calculate MW Link Budget Using Tkinter in Python

Konstantinos Zarkadas, Apollon Smyrnaios, George Dimitrakopoulos

Subject: Engineering, Telecommunications Keywords: link budget; point to point; python GUI; simulation tools

Online: 11 June 2024 (14:31:04 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.1514.v1

PhyKIT: A Multitool for Phylogenomics

Jacob Steenwyk, Gemma Martínez-Redondo, Thomas Buida, Emile Gluck-Thaler, Xing-Xing Shen, Toni Gabaldón, Antonis Rokas, Rosa Fernández

Subject: Biology And Life Sciences, Biology And Biotechnology Keywords: phylogeny; phylogenomics; sequence alignments; genomics; software tools; comparative genomics

Online: 23 April 2024 (11:20:13 CEST)

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Preprint REVIEW | doi:10.20944/preprints202310.0729.v1

On the Definition, Assessment and Enhancement of Circular Economy across Various Industrial Sectors: A Literature Review

Christina Vogiantzi, Konstantinos Tserpes

Subject: Engineering, Mechanical Engineering Keywords: circular economy; circularity assessment; industries; circularity enhancement; digital tools

Online: 11 October 2023 (12:20:59 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202212.0050.v1

Hydrogeological Aquifer Characterization using a Multi-Technique Framework: Application to the Lower Casas Grandes Basin, Chihuahua, Mexico

Alfredo Granados-Olivas, Ezequiel Rascon-Mendoza, Francisco Javier Gomez-Dominguez, Carlo Ivan Romero-Gameros, Andrew J. Robertson, Ali Mirchi, Ana Cristina Garcia-Vasquez, Luis Carlos Bravo-Peña, Alexander Fernald, John W. Hawley, Luis Carlos Alatorre-Cejudo, Maryam Samimi, Felipe Adrian Vazquez-Galvez, Adán Pinales-Munguía, Oscar Fidencio Ibañez-Hernandez, Josiah M. Heyman, Alex Mayer, William Hargrove

Subject: Environmental And Earth Sciences, Waste Management And Disposal Keywords: groundwater exploration; fracture trace analysis; geophysics; geomorphology; geospatial tools

Online: 2 December 2022 (10:46:03 CET)

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Preprint ARTICLE | doi:10.20944/preprints201801.0121.v1

Social Sustainable Assessment Tool Development Approach

Jubril Olakitan Atanda, Ayşe Öztürk

Subject: Arts And Humanities, Architecture Keywords: social criteria; building assessment tools; sustainable development; social sustainability

Online: 15 January 2018 (07:55:41 CET)

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Preprint REVIEW | doi:10.20944/preprints202407.2615.v1

A Scoping Review of the Trends and Opportunities of Tangible Creativity Support Tools (T‐CSTs)

Yimin Wang, Mengqi Jiang, Ziqian Bai

Subject: Social Sciences, Media Studies Keywords: human‐computer interaction; creativity support tools; tangible interface; interaction design

Online: 1 August 2024 (07:14:48 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.0190.v1

Development and Validation of a Hand Held Spectrophotometric Method by Near Infra-Red (NIR) using PCA Approaches and Chemometric Tools: Application for Qualitative and Quantitative Determination of Tadalafil Marketed in Kinshasa-D.R. Congo

Jocelyn Mankulu Kakumba, Patient Hamuli Ciza, Merdie Luyinama Mpemba, Freddy Kasago Mugisho, Malachie Tembo Monyele, Dadit Ive Kitenge, Tresor Bayebila Menanzambi, Tresor Kimbeni Malongo, Didi Mana Kialengila, Jeremie Mbinze Kindenge

Subject: Chemistry And Materials Science, Analytical Chemistry Keywords: Substandard and falsified medicines; Handheld NIR; Chemometric tools; Development; Validation

Online: 4 March 2024 (19:15:05 CET)

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Preprint REVIEW | doi:10.20944/preprints202402.0929.v2

Development of Tools to Assess Vaccine Literacy: A Scoping Review and Future Perspectives

Luigi Roberto Biasio, Patrizio Zanobini, Chiara Lorini, Guglielmo Bonaccorsi

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: vaccine literacy; health literacy; vaccine hesitancy; beliefs; attitudes; psychometric tools

Online: 21 February 2024 (03:47:29 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.1167.v1

Water Energy Food Nexus in Urbanizing Wetlands: Challenges and Solutions Explored through Choremes and Focus Maps

Dragos BALAICAN, Katrin Teubner, Mihaela-Iuliana Tudor, Iulian NICHERSU, Adrian Burada, Cristian Trifanov, Marian Tudor, Catalina Iticescu, Luminita Moraru, Puiu Lucian Georgescu

Subject: Environmental And Earth Sciences, Water Science And Technology Keywords: decision makers visualization tools; WEF nexus visualization; Choremes; Focus maps

Online: 20 February 2024 (17:25:10 CET)

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Preprint COMMUNICATION | doi:10.20944/preprints202401.1215.v1

Antibiotic Consumption 2017-2022 in 30 Private Hospitals in France: Impact of Antimicrobial Stewardship Tools and COVID-19 Pandemic

Pierre-Marie Roger, Diane Lesselingue, Anouk Gérard, Jacques Roghi, Pauline Quint, Sophie Un, Agnès Chincholle, Assi Assi, Odile Bouchard, Véronique Javaudin, Eric Denes

Subject: Medicine And Pharmacology, Epidemiology And Infectious Diseases Keywords: antibiotic consumption; defined daily doses; antimicrobial stewardship; tools; COVID-19

Online: 16 January 2024 (08:58:56 CET)

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Preprint ARTICLE | doi:10.20944/preprints202312.0828.v1

In Silico Identification of Sugarcane Genome-Encoded MicroRNAs Targeting Sugarcane Mosaic Virus

Muhammad Aleem Ashraf, Wenzhi Wang, Hira Ghaffar, Zainab Ijaz, Waqar ul Zaman, Huda Mazhar, Maryam Zulfqar, Shuzhen Zhang

Subject: Biology And Life Sciences, Biology And Biotechnology Keywords: potyvirus; in silico tools; sugarcane mosaic virus; miRNA; RNA interference

Online: 12 December 2023 (07:20:00 CET)

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Sugarcane mosaic virus (SCMV) is a (genus, Potyvirus; family, Potyviridae) is a widespread, deleterious, and the most damaging pathogen of sugarcane ((Saccharum officinarum L. and Saccharum spp.) which causes a substantial barrier to producing high sugarcane earning. Sugarcane mosaic disease (SCMD) is caused by, single or compound infection of SCMV, disseminated by the several aphid vectors in a non-persistent manner. SCMV has flexuous filamentous particle of 700-750 nm long, which encapsidated a positive-sense, single-stranded RNA molecule of 9575 nucleotides. RNA interference (RNAi)-mediated antiviral innate immunity is an evolutionary conserved, key biological process in eukaryotes and has evolved as an antiviral defence system to interfere with viral genomes for controlling infections in plants. The current study aims to analyze sugarcane (Saccharum officinarum L. and Saccharum spp.) locus-derived microRNAs (sof-miRNAs/ssp-miRNAs) with predicted potential for targeting the SCMV +ssRNA-encoded mRNAs, using a predictive approach that involves five algorithms. The ultimate goal of this research is to mobilize the in silico- predicted endogenous sof-miRNAs/ssp-miRNAs to experimentally trigger the catalytic RNAi pathway and generate sugarcane cultivars to evaluate the potential antiviral resistance surveillance ability and capacity for SCMV. Experimentally validated mature sugarcane (S. officinarum, 2n = 8X = 80) and (S. spp., 2n = 100-120) sof-miRNA/ssp-miRNA sequences (n = 28) were downloaded from the miRBase database and aligned with the SCMV genome (KY548506). Among the 28 targeting mature locus-derived sof-miRNAs/ssp-miRNAs evaluated, one sugarcane miRNA homolog, sof-miR159c, was identified to have a predicted miRNA binding site, at nucleotide position 3847 of the SCMV genome targeting CI ORF. To verify the accuracy of the target prediction accuracy and to determine, whether the sugarcane sof-miRNA/ssp-miRNA could bind the predicted SCMV mRNA target(s), we constructed an integrated Circos plot. A genome-wide in-silico-predicted miRNA-mediated target gene regulatory network has implicated to validate interactions necessary to warrant in vivo analysis. The current work provides valuable computational evidence for the generation of SCMV-resistant sugarcane cultivars.

Preprint ARTICLE | doi:10.20944/preprints202307.0466.v1

PlantMetSuite: A User-Friendly Web-Based Tool for Metabolomics Analysis and Visualisation

Yu Liu, Hao-Zhuo Liu, Ding-Kang Chen, Hong-Yun Zeng, Yi-Li Chen, Nan Yao

Subject: Biology And Life Sciences, Plant Sciences Keywords: plant metabolomics; metabolite identification; data visualisation; omics data; bioinformatics tools

Online: 10 July 2023 (13:49:20 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1521.v2

The In Silico Sugarcane Genome-Encoded MicroRNA and Target Network Prediction for Targeting the SCMV

Muhammad Aleem Ashraf, Xiaoyan Feng, Hira Ghaffar, Judith K Brown, Imran Shahid, Naitong Yu, Shuzhen Zhang

Subject: Biology And Life Sciences, Biology And Biotechnology Keywords: potyvirus; in silico tools; sugarcane mosaic virus; miRNA; RNA interference

Online: 8 June 2023 (10:58:12 CEST)

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Preprint REVIEW | doi:10.20944/preprints202305.1392.v1

Smart City Assessment in Developing Economies: A Scoping Review

Julius Jay Lacson, Hussein Sinsuat Lidasan, Vidya Spay P. A., Larmie Feliscuzo, Johann Heinrich Malongo, Nove Joshua Lactuan, Lemuel Clark Velasco

Subject: Social Sciences, Urban Studies And Planning Keywords: Smart City; Smart City Assessment; Developing Economies; PRISMA; Assessment Tools

Online: 19 May 2023 (07:31:05 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202303.0242.v1

Mediating Digital Devices in Post-COVID-19 Classroom: An Exploration of Teachers' Adaptation Process in Nepal

Dirgha Raj Joshi, Jeevan Khanal, Ram Hari Dhakal

Subject: Social Sciences, Education Keywords: COVID-19; mathematics; digital tools; digital skills; teacher; e-learning

Online: 14 March 2023 (03:42:56 CET)

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Preprint REVIEW | doi:10.20944/preprints202203.0020.v1

Opportunities and Limitations in the Analysis of Autistic Phenotypes - A Conceptual Review

Éva Mariczáné Csanádi, Ábel Fóthi, Péter Pollner, András Lőrincz, Bálint Kovács

Subject: Social Sciences, Psychology Keywords: heterogeneity; autism models; subgroups in autism; ASD-questionnaires; analysis tools

Online: 1 March 2022 (11:51:15 CET)

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Preprint ARTICLE | doi:10.20944/preprints202107.0663.v1

An Experimental Comparison of Simple Measurements used for the Characterization of Sand Equestrian Surfaces

Maria Alejandra Blanco, Raúl Hourquebie, Kaleb Dempsey, Peter Schmitt, Michael "Mick" Peterson

Subject: Engineering, Automotive Engineering Keywords: equine; arenas; sand; base layers; portable tools; safety; equine welfare

Online: 29 July 2021 (14:07:06 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202106.0454.v1

Leaf Area Index Variations in Ecoregions of Ardabil Province, Iran

Lida Andalibi, Ardavan Ghorbani, Mehdi Moameri, Zeinab Hazbavi, Arne Nothdurft, Reza Jafari, Farid Dadjou

Subject: Environmental And Earth Sciences, Environmental Science Keywords: LaiPen; Management Tools; Remote sensing; Vegetation indices; Spatio-temporal changes

Online: 17 June 2021 (09:26:34 CEST)

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The leaf area index (LAI) is an important vegetation biophysical index that provides broad information on the dynamic behavior of ecosystems productivity and related climate, topography, and edaphic impacts. The spatio-temporal changes of LAI were assessed throughout Ardabil Province, a host of relevant plant communities within the critical ecoregion of a semi-arid climate. In a comparative study, novel data from Google Earth Engine- GEE was tested against traditional ENVI measures to provide LAI estimations. Besides, it is of important practical significance for institutional networks to quantitatively and accurately estimate LAI at large areas in a short time and using appropriate baseline vegetation indices. Therefore, LAI was characterized for ecoregions of Ardabil Province using remote sensing indices extracted from Landsat 8 Operational Land Imager (OLI), including Enhanced Vegetation Index calculated in GEE (EVIG) and ENVI5.3 software (EVIE), as well as Normalized Difference Vegetation Index estimated in ENVI5.3 software (NDVIE). Besides, a new field measurement method, i.e., the LaiPen LP 100 portable device (LP 100), was used to evaluate the accuracy of the derived indices. Accordingly, the LAI was measured on June and July 2020 in 822 ground points distributed in 16 different ecoregions-sub ecoregions having various Plant Functional Types (PFTs) of the shrub, bush, and tree. The analyses revealed heterogeneous spatial and temporal variability in vegetation indices and LAIs within and between ecoregions. The mean (standard deviation) value of EVIG, EVIE, and NDVIE at Province scale yielded 1.1 (0.41), 2.20 (0.78), and 3.00 (1.01), respectively in June, and 0.67 (0.37), 0.80 (0.63), and 1.88 (1.23), in that respect in July. The highest mean values of EVIG-LAI, EVIE-LAI, and NDVIE-LAI in June are found in Meshginshahr (1.40), Meshginshahr (2.80), and Hir (4.33) ecoregions and in July are found in Andabil ecoregion respectively with values of 1.23, 1.5, and 3.64. The lowest mean values of EVIG-LAI, EVIE-LAI, and NDVIE-LAI in June were observed for Kowsar (0.67), Meshginshahr (1.8), and Neur (2.70), ecoregions and in July were for Bilesavar ecoregion respectively with values of 0.31, 0.31, and 0.81. High correlation and determination coefficients (r>0.83 and R2>0.68) between LP 100 and remote sensing derived LAI were observed in all three PFTs (except for NDVIE-LAI in June with r=0.56 and R2=0.31). On average, all three examined LAI measures tended to underestimation compared to LP 100-LAI (r>0.42). The findings of the present study can be promising for effective monitoring and proper management of vegetation and land use in Ardabil Province and other similar areas.

Preprint REVIEW | doi:10.20944/preprints202005.0376.v1

Computational Strategies to Combat COVID-19: Useful Tools to Accelerate SARS-CoV-2 and Coronavirus Research

Franziska Hufsky, Kevin Lamkiewicz, Alexandre Almeida, Abdel Aouacheria, Cecilia Arighi, Alex Bateman, Jan Baumbach, Niko Beerenwinkel, Christian Brandt, Marco Cacciabue, Sara Chuguransky, Oliver Drechsel, Robert D. Finn, Adrian Fritz, Stephan Fuchs, Georges Hattab, Anne-Christin Hauschild, Dominik Heider, Marie Hoffmann, Martin Hölzer, Stefan Hoops, Lars Kaderali, Ioanna Kalvari, Max von Kleist, René Kmiecinski, Denise Kühnert, Gorka Lasso, Pieter Libin, Markus List, Hannah F. Löchel, Maria J. Martin, Roman Martin, Julian Matschinske, Alice C. McHardy, Pedro Mendes, Jaina Mistry, Vincent Navratil, Eric Nawrocki, Áine Niamh O'Toole, Nancy Palacios-Ontiveros, Anton I. Petrov, Guillermo Rangel-Piñeros, Nicole Redaschi, Susanne Reimering, Knut Reinert, Alejandro Reyes, Lorna Richardson, David L. Robertson, Sepideh Sadegh, Joshua B. Singer, Kristof Theys, Chris Upton, Marius Welzel, Lowri Williams, Manja Marz

Subject: Biology And Life Sciences, Virology Keywords: virus bioinformatics; SARS-CoV-2; sequencing; epidemiology; drug design; tools

Online: 23 May 2020 (11:01:11 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201903.0285.v1

The Design of an Adaptive Content Management Learning System for Children with Autism

Khaled Ismail, Nazean Jomhari

Subject: Social Sciences, Education Keywords: children with autism; education; learning tools; design; intervention; assistive technology

Online: 30 March 2019 (06:27:17 CET)

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Preprint REVIEW | doi:10.20944/preprints202408.0638.v1

Environmental Sustainability in Hotels: A Review of the Relevance and Contributions of Assessment Tools and Techniques

Toshima Makoondlall-Chadee, Chandradeo Bokhoree

Subject: Environmental And Earth Sciences, Other Keywords: hotel sector; environmental sustainability; environmental sustainability assessment; assessment tools and techniques

Online: 9 August 2024 (10:13:10 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.1721.v1

Transformation of DIY Geiger Counter Kits into a Muon Detector for Educational and Scientific Exploration

Marco Arcani, Domenico Liguori, Andrea Frassà, Altea Renata Maria Nemolato, Omar Del Monte, Cesare Guaita

Subject: Physical Sciences, Astronomy And Astrophysics Keywords: Muon detector; cosmic rays; DIY Geiger counter; educational tools; scientific exploration

Online: 27 May 2024 (09:56:07 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.0984.v1

Prediction of COVID-19 Hospitalization and Mortality Using Artificial Intelligence

Marwah Ahmed Halwani, Manal Ahmed Halwani

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: Artificial intelligence; Clinical decision support systems; Predictive tools; Disease severity; Mortality

Online: 14 May 2024 (14:50:39 CEST)

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COVID-19 has substantially influenced healthcare systems, requiring early prognosis for innovative therapies and optimal results, especially in individuals with comorbidities. Healthcare practitioners have used AI systems for investigating, anticipating, and predicting diseases, through means including medication development, clinical trial analysis, and pandemic forecasting. This study proposes the use of AI to predict disease severity in terms of hospital mortality among COVID-19 patients. Methodology: A cross-sectional study was conducted the approval from the Research Ethics Committee of King Abdulaziz University (KAU), Saudi Arabia. The study used sequential sampling approaches to include 50 Real-Time Polymerase Chain Reaction (RT-PCR) positive COVID-19 patients from KAU's coronavirus isolation wards. A pre-designed form was used to collect each patient's demographic information, including age and gender, signs and symptoms, illness severity (mild, moderate, severe), and laboratory findings. Furthermore, the length of the hospital stay and the result, whether the patient recovered or died, were reported. Results: The study involved 50 patients with varying degrees of disease severity, most of whom suffered from fever, fatigue, cough, sore throat, and diarrhoea. Laboratory analysis of COVID-19 patients showed increased white blood cell and platelet counts, with C-reactive protein levels above normal. Elevated LDH levels indicated possible tissue damage, while ferritin levels were elevated. Other enzymes were in the normal range, but bilirubin levels were slightly elevated. Overall, the patient's lab results indicated inflammation and possible blood clot formation. The study evaluated the predictive accuracy for outcomes and mortality of COVID-19 patients based on factors such as CRP, LDH, Ferritin, ALP, Bilirubin, D-dimers, and hospital stay (p-value ≤0.05). The predictive accuracy mortality of patients with COVID-19 using AI showed Hospital stay, D-Dimers ALP, Bilirubin, LDH, CRP, and Ferritin significantly affected hospital mortality. (p ≤ 0.0001). Conclusion: Artificial Intelligence is crucial for identifying early coronavirus infections and monitoring patient conditions. It improves treatment consistency and decision-making via the development of algorithms. AI can track the crisis at various scales, facilitate research, and aid in developing treatment regimens, prevention strategies, and drugs and vaccines. It also aids in monitoring health and facilitating research on the virus.

Preprint REVIEW | doi:10.20944/preprints202402.0074.v1

Haptic Technology: A Valuable Paradigm for Reinforcing Learning Processes in Early Childhood Special Education

Eloy Irigoyen, Mikel Larrea, Manuel Graña

Subject: Social Sciences, Education Keywords: Childhood Special Education; Haptic Technology; Learning Process; Educational Tools; Pedagogical Rehabilitation

Online: 1 February 2024 (13:27:12 CET)

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Preprint REVIEW | doi:10.20944/preprints202312.1242.v1

Helicobacter pylori: A Contemporary Perspective on Pathogenesis, Diagnosis, and Treatment Strategies

Asghar Ali, Khalid I. AlHussaini

Subject: Biology And Life Sciences, Other Keywords: Pathogenesis; Treatment strategies; Virulence factors; Triple therapy; Antibiotic resistance; Diagnostic tools.

Online: 18 December 2023 (09:08:23 CET)

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Preprint ARTICLE | doi:10.20944/preprints202305.1384.v1

Analysis of Tool Wear in GH4169 Material Milling Process

Xueguang Li, Wang Zhang, Liqin Miao, Zhaohuan Pang

Subject: Engineering, Mechanical Engineering Keywords: Tool wear; Prediction model; Ultrasonic vibration; Coated cutting tools; Tool temperature

Online: 19 May 2023 (05:26:01 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202104.0228.v1

Holistic Requirements Analysis For Specifying New Systems For 3D Media Production and Promotion

Christos Mouzakis, Dimitrios Ververidis, Luis Miguel Girao, Nicolas Patz, Spiros Nikolopoulos, Ioannis Kompatsiaris

Subject: Social Sciences, Anthropology Keywords: Requirements Engineering; Authoring Tools; 3D content; IEEE 830 standard; Social Media

Online: 8 April 2021 (10:16:52 CEST)

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Working Paper REVIEW

Web-Based Tools for Computational Enzyme Design

Sérgio M. Marques, Joan Planas-Iglesias, Jiri Damborsky

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: web server; rational design; functionalizing enzymes; enzyme discovery; user-friendly tools

Online: 28 January 2021 (07:51:45 CET)

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Working Paper CONCEPT PAPER

Process Design and Sustainable Development - a European Perspective

Peter Glavič, Zorka Novak Pintarič, Miloš Bogataj

Subject: Engineering, Industrial And Manufacturing Engineering Keywords: process design; sustainable development; chemical industry; process industry; megatrends; design tools

Online: 5 January 2021 (11:32:26 CET)

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Preprint REVIEW | doi:10.20944/preprints202004.0080.v1

SHERLOCK and DETECTR: CRISPR-Cas Systems as Potential Rapid Diagnostic Tools for Emerging Infectious Diseases and Cancer-Associated Mutations

Mujahed Mustafa, Abdelrafie Makhawi

Subject: Biology And Life Sciences, Biology And Biotechnology Keywords: cancer-related viruses; CRISPR-Cas diagnostic tools; DETECTR; infectious disease; SHERLOCKv2

Online: 7 April 2020 (09:43:22 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.0939.v1

Digital Transformation in University Architecture: Building Data Management on the Pontificia Universidad Javeriana Campus

Daniela Carrasco-Beltrán, Alejandro Serrano-Sierra, Roberto Cuervo Pulido, Carolina Valbuena-Bermúdez, Jaime A. Pavlich-Mariscal, César Granados-León

Subject: Engineering, Architecture, Building And Construction Keywords: Digital Technologies; Community impact; Construction Processes; Information Management; Interactive Tools; Interdisciplinarity; Sustainability

Online: 13 September 2024 (04:14:31 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.0295.v1

Use of Digital Technology in Integrated Mathematics Education

Andrada-Livia Cîrneanu, Cristian-Emil Moldoveanu

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: student/teacher aid tools; digital technology; predictive and learning analytics; digital mathematics

Online: 6 June 2024 (12:22:00 CEST)

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Preprint REVIEW | doi:10.20944/preprints202402.1606.v1

System-wide Thromboprophylaxis Interventions for Hospitalized Patients at Risk of Venous Thromboembolism: Focus on Cross-Platform Clinical Decision Support

Nikolaos Tsaftaridis, Mark Goldin, Alex C Spyropoulos

Subject: Medicine And Pharmacology, Internal Medicine Keywords: Venous Thromboembolism; Clinical Decision Support Tools; Thromboprophylaxis; Hospitalized Patients; Electronic Health Records

Online: 28 February 2024 (08:06:12 CET)

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Preprint ARTICLE | doi:10.20944/preprints202307.0419.v1

Production and Properties of FeCuSnNi Sinter as a Matrix of a Metal-Diamond Composite

Joanna Borowiecka-Jamrozek, Jan Lachowski

Subject: Physical Sciences, Condensed Matter Physics Keywords: milling process; powder metallurgy; metallic matrix; diamond tools; mechanical properties; dylatometric test

Online: 6 July 2023 (10:18:15 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.0517.v1

In Silico Identification of Apple Genome-Encoded MicroRNA Target Binding Sites Potentially Targeting the ACLSV

Muhammad Aleem Ashraf, Nimra Murtaza, Judith K Brown, Naitong Yu

Subject: Biology And Life Sciences, Biology And Biotechnology Keywords: trichovirus; in silico tools; apple chlorotic leaf spot virus; miRNA; RNA interference

Online: 8 May 2023 (10:31:09 CEST)

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Apple chlorotic leaf spot virus (ACLSV) is a widespread, deleterious and the most damaging pathogen of fruit tree plants including domesticated apple (Malus domestica) ―a great threat to apple production worldwide. The positive-sense single-stranded RNA genome of ACLSV (7.5 Kbp) encodes three proteins: RNA polymerase (Rep), movement protein (MP) and coat protein (CP). RNA interference (RNAi)-mediated antiviral innate immunity is a key sequence-specific biological phenomenon in eukaryotes to control plant viruses. The aim of this study was to analyze apple (M.domestica) locus-derived microRNAs (mdm-miRNAs) with predicted potential for targeting the ACLSV +ssRNA-encoded mRNAs, using ‘four algorithms’ approach. The ultimate goal in this research is to mobilize the in silico endogenous predicted mdm-miRNAs to trigger RNAi catalytic pathway experimentally and generate apple tree varieties for evaluating potential antiviral resistance monitoring capability and capacity for ACLSV. Experimentally validated mature apple (M.domestica, 2n = 2X = 34) mdm-miRNAs (n = 322) were acquired from miRBase database and tested for alignment with the ACLSV genome. Of the 322 targeting mature locus-derived mdm-miRNAs investigated, nine apple mdm-miRNA homologs (mdm-miR395k, mdm-miR5225c and mdm-miR7121 (a, b, c, d, e, f, g, h) were predicted by all ‘four algorithms’. Only fifty eight mdm-miRNAs were predicted consensus binding sites by union of consensus between two algorithms. The miRanda, RNA22, TAPIR algorithms predicted binding of mdm-miR395k at unique nucleotide position 4691, as the most effectively interacting mdm-miRNAs in targeting the ORF1 sequence. In order to validate target prediction accuracy, whether the apple mdm-miRNAs might bind predicted ACLSV mRNA target(s), we created an integrated Circos plot. Genome-wide in-silico-predicted miRNA-mediated target gene regulatory network validated interactions that warrant in vivo analysis. The current work provides valuable evidence and biological material for generating ACLSV-resistant apple varieties.

Preprint ARTICLE | doi:10.20944/preprints202304.0784.v1

Jane Jacobs’s Criteria for Urban Vitality: A Geospatial Analysis of Morphological Conditions in Quito, Ecuador

Nuria Vidal Domper, Gonzalo Hoyos Bucheli, Marta Benages Albert

Subject: Social Sciences, Geography, Planning And Development Keywords: urban vitality index; urban morphology parameters; comparative approach; Andean region; GIS tools

Online: 23 April 2023 (07:34:36 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202202.0282.v1

FastTest Plugin: a New Plugin to Generate Moodle Quiz XML Files

Milagros Huerta, Manuel Alejandro Fernandez-Ruiz

Subject: Computer Science And Mathematics, Computer Science Keywords: content creation tools; plugin; Moodle; e-learning technologies; LMS; XML file; quiz

Online: 22 February 2022 (16:23:33 CET)

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Preprint ARTICLE | doi:10.20944/preprints202112.0375.v1

A Guiding Framework for Needs Assessment Evaluations to Embed Digital Tools with Indigenous Communities

Jasmin Bhawra, Marisa Claire Buchan, Kelly Skinner, Duane Favel, Tarun Reddy Katapally

Subject: Social Sciences, Other Keywords: Community Engagement; Needs Assessment; Digital Tools; Indigenous Health; Data Sovereignty; Evaluation Framework.

Online: 22 December 2021 (16:25:57 CET)

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Preprint REVIEW | doi:10.20944/preprints202108.0345.v1

Educational Data Mining, Student Academic Performance Prediction, Prediction Methods, Algorithms and Tools: An Overview of Reviews

Chaka Chaka

Subject: Social Sciences, Education Keywords: student academic performance; educational data mining; methods; algorithms; tools; higher education; overview

Online: 16 August 2021 (14:04:57 CEST)

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Preprint REVIEW | doi:10.20944/preprints202106.0018.v1

The Crustacean Model Parhyale hawaiensis

Mathilde Paris, Carsten Wolff, Nipam Patel, Michalis Averof

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: emerging model organism; evo-devo; development; evolution; regeneration; genetic tools; live imaging

Online: 1 June 2021 (10:37:04 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202103.0250.v1

A Cross-National Comparative Policy Analysis of the Blockchain Technology Between the USA and China

Chu-Chi Kuo, Joseph Z. Shyu

Subject: Social Sciences, Political Science Keywords: Blockchain; Decentralization; Innovation Policy; National Innovation Systems; Policy Tools; Legal and Regulatory

Online: 9 March 2021 (09:50:38 CET)

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Preprint BRIEF REPORT | doi:10.20944/preprints202101.0127.v1

Wave-Like Properties of Time

Goutam Kumar Chandra

Subject: Physical Sciences, Acoustics Keywords: Tools and Metrology; Time and Frequency; Philosophy of Science; Special Relativity; Semiconductors

Online: 6 January 2021 (15:09:15 CET)

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Preprint REVIEW | doi:10.20944/preprints202009.0018.v1

Green Infrastructure as an Urban Heat Island Mitigation Strategy - A Review

Fatma balany, A.W.M Ng, Nitin Muttil, Shobha Muthukumaran, Man Sing Wong

Subject: Engineering, Civil Engineering Keywords: green infrastructure; urban heat island; human thermal comfort, modelling tools; ENVI-met.

Online: 1 September 2020 (12:19:13 CEST)

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Preprint ESSAY | doi:10.20944/preprints202008.0543.v1

Evaluating the Potential of Applying Machine Learning Tools to Metabolic Pathway Optimization

Wenfa Ng

Subject: Biology And Life Sciences, Biology And Biotechnology Keywords: pathway optimization; machine learning tools; enzyme activity prediction; promoter classification; expression tuning

Online: 26 August 2020 (04:05:47 CEST)

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Preprint REVIEW | doi:10.20944/preprints202008.0461.v1

Eating Disorders in Children and Adolescents. An Updated Review on Screening Methods

Maria M. Leti, Anca L. Pop, David M. Garner, Iuliana Dobrescu

Subject: Medicine And Pharmacology, Dietetics And Nutrition Keywords: eating disorders; anorexia nervosa; bulimia nervosa; personality traits; screening tools; Covid-19

Online: 20 August 2020 (13:11:08 CEST)

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This article aims to review the screening and diagnostic tools for eating disorders (ED). Eating disorders represent a complex pathology defined by an imbalance between hunger and satiety, installed in an emotional, traumatic, or conflictive context. Recently, the emphasis regarding ED is focused on the link between genetics, mental pathology, and the somatic and metabolic phenotype and early detection. Early detection and intervention can assure a better recovery and can improve a lot the quality of life of these patients. Methods: We selected ten articles of central importance on the topic in a systematic search on eight databases, articles selected on the type of scales, and size of the study. Results: We identified eight questionnaire scales used in large trials in ED disorders in the scanned literature, choose because we consider it the most accurate and the ones that evaluate best the pathology and the elements that are important as specific traits in ED. There are interview-type scales and self-administered scales. Interview scales are characterized by assessments of symptoms and diagnosis, while self-administered assess particular traits and the possibility of further development of eating disorders. The majority of the scales evaluated were described and used in adult populations. From all the scales assessed and analyzed, only three are described at the child population – it is EAT-26 (> 16 years), EDI-3 (>13 years), and ANSOCQ (> 13 years). Conclusions: It is essential to develop specific scales for people under 18 years of age, given the increasing incidence of ED among children and the need for early detection and appropriate intervention. Early detection of ED in children implies a simple and accurate evaluation at the primary care level or in schools, as the course of the disease can be subclinical for several years. Moreover, the need for accurate scales and telemedicine testing and diagnosis is of high importance during the COVID-19 pandemic as youth are at particular risk being psychologically affected due to disrupted education and social interactions - at a critical time.

Preprint ARTICLE | doi:10.20944/preprints201811.0297.v1

Development of a Transformation Method for Metschnikowia borealis and Other CUG-Serine Yeasts

Zachary Gordon, Maximillian P. M. Soltysiak, Christopher Leichthammer, Jasmine A. Therrien, Rebecca S. Meaney, Carolyn Lauzon, Matthew Adams, Dong Kyung Lee, Preetam Janakirama, Marc-Andre Lachance, Bogumil J. Karas

Subject: Biology And Life Sciences, Biology And Biotechnology Keywords: genome engineering; synthetic biology; yeasts; Metschnikowia; genetic tools; DNA delivery; CUG-Ser

Online: 13 November 2018 (05:17:45 CET)

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Preprint COMMUNICATION | doi:10.20944/preprints201706.0111.v1

Publishing Research Support Documents in Open Access Platform to Improve Research Impact

Nader Ale Ebrahim, Yii Bonn Bong

Subject: Social Sciences, Library And Information Sciences Keywords: improve citations; research tools; research visibility; research impact; documents publishing; highly cited

Online: 26 June 2017 (04:20:47 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.0939.v1

New Strategies in Archaeometric Provenance Analyses of Volcanic Rock Grinding Stones

Lluís Casas, Roberta Di Febo, Anna Anglisano, África Pitarch Martí, Ignasi Queralt, Cèsar Carreras, Boutheina Fouzai

Subject: Environmental And Earth Sciences, Geochemistry And Petrology Keywords: archaeometry; volcanic stone; grinding tools; provenance studies; supervised methods; machine learning; clustering; XRF

Online: 14 May 2024 (09:29:46 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202402.0166.v1

Leveraging Remotely Sensed and Climatic Data for Improved Crop Yield Prediction in the Chi Basin, Thailand

Akkarapon Chaiyana, Ratchawatch Hanchoowong, Neti Srihanu, Haris Prasanchum, Anongrit Kangrang, Rattana Hormwichian, Siwa Kaewplang, Werapong Koedsin, Alfredo Huete

Subject: Engineering, Other Keywords: Decision support tools; machine learning; remote sensing, climatic data, predictive model; province scale

Online: 2 February 2024 (12:15:13 CET)

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Preprint SHORT NOTE | doi:10.20944/preprints202312.1695.v1

The Role Of Chest Radiology in Traumatic Injuries: A Comprehensive Narrative Review

Dev Desai, Maria Eleni Malafi

Subject: Medicine And Pharmacology, Other Keywords: Chest trauma; radiology; diagnostic tools for chest trauma; imaging in chest trauma; triage

Online: 22 December 2023 (08:05:52 CET)

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Preprint ARTICLE | doi:10.20944/preprints202301.0025.v1

Coaching Approach as A Sustainable Means of Improving Communication Skills of Management Students

Peter Seemann, Zuzana Stofkova, Vladimira Binasova, Peter Majercak

Subject: Social Sciences, Education Keywords: Management; Sustainability tools; Coaching process; Communication; Educational institution; Social sustainability of human beings.

Online: 3 January 2023 (09:23:21 CET)

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The impetus for the development of coaching as a professional managerial activity is based on the needs and requirements of a modern sustainable society. The paper aims to explore the awareness of academic students about the coaching approach and to formu-late recommendations for its application in the academic environment. The article focuses on the views of experts in the field of coaching approach as a means of improving com-munication in the academic/educational setting, characterizes communication and coaching approach, coaching models and its benefits and barriers. The survey presents a survey of awareness of the coaching approach among college and university students of in Slovakia and the possibilities/options of its application in the academic environment. The research was carried out by the questionnaire method. The evaluation of the questionnaire and the statistical evaluation of established hypotheses and assumptions concerning the coaching approach. The proposion of students was the introduction of the subject "Basics of coaching" which could be taught for all students at University of Zilina, Slovakia. Acording to the survey, 468 students, representing 68%, have knowledge about coaching. Furthermore, 68% of students had or have doubts about achieving their goals during their studies. According to the results of the survey, only 24% of students had ex-perience with coaching. The cooperation with a coach was regarded as beneficial for 71% of participants of the survey, which had already experience the coaching lectures. The students of managerial fields would benefit in enhancing leadership skills and providing support of their working teams.Finally, suggest organizing an introductory full-day workshops for students of man-agement -future managers, followed by organizing individual thematic workshops for specific areas of coaching.Moreover, the usage of coaching skills is possible yet while they are students with applications in communication in their relationships, student jobs, searching the profes-sional job opportunities and accomplishing the final thesis.To raise awareness of coaching approach in the University of Zilina in a cooperation with The Counseling and Career Center and its activities.

Preprint REVIEW | doi:10.20944/preprints202107.0193.v1

Plants Metabolome Study: Emerging Tools and Techniques

Manish Kumar Patel, Sonika Pandey, Manoj Kumar, Intesaful Haque, Sikander Pal, Narendra Singh Yadav

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: metabolomics; plant biology; metabolomics databases; data analysis; metabolomics software tools; mass spectrometry; omics

Online: 8 July 2021 (10:46:55 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.2455.v1

ToolCAP: Novel Tools to Improve the Management of Paediatric Community-Acquired Pneumonia – a Preliminary Study Protocol for a Randomised Controlled Trial

Jacques Du Toit, Megan Palmer, Karim Manji, Papa Moctar Faye, Stephen Tollman, Moniek Bresser, Silvia Cicconi, Tracy Glass, Helene Langet, Klaus Reither, Evelyn Tshehla, Kristina Keitel

Subject: Medicine And Pharmacology, Pediatrics, Perinatology And Child Health Keywords: Lung Ultrasound; IMCI; Paediatric Pneumonia; Antibiotic Stewardship; Low-Resource Settings; Antimicrobial Resistance; Diagnostic Tools

Online: 30 July 2024 (16:37:06 CEST)

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Background Lower respiratory tract infections (LRTIs), particularly pneumonia, are a leading cause of morbidity and mortality among children worldwide, especially in low-resource settings. The World Health Organization (WHO) Integrated Management of Childhood Illness (IMCI) guidelines currently recommend antibiotic treatment for all case of with pneumonia based on clinical signs along, which can lead to over-prescription of antibiotics and contribute to antimicrobial resistance (AMR). Point of care Lung Ultrasound (LUS) has emerged as a promising diagnostic tool in this context and has demonstrated potential in distinguishing between bacterial and viral pneumonia, thus enabling more targeted antibiotic use. This study aims to explore whether integrating LUS into the IMCI-based management of clinical pneumonia will better identify those who would benefit from antibiotic treatment, reducing antibiotic overuse without compromising health outcomes. Methods An open label randomized controlled trial will enrol 3500 children aged 60 days to 12 years presenting with IMCI-defined pneumonia. Participants will be enrolled in Senegal, Tanzania, and South Africa. Participants will be randomly assigned in a ratio of 1:1, stratified by site and age group (<5years, 5-12years) to either an intervention group, where LUS will guide antibiotic prescriptions utilising a predefined interpretation framework, or a control group receiving routine IMCI-based care. The co-primary outcomes of this study are the reduction in antibiotic use on the day of enrolment (Day 1) and rate of clinical failure by Day 8, using an acceptable clinical difference of 1.5x as a non-inferiority margin (delta of 2.5%). Secondary outcomes will include adverse drug reactions, cure rates, hospital admissions including in-patient duration, and cost-effectiveness. Data will be collected at baseline (Day 1), Day 8, and Day 29 post-enrolment. Discussion This study seeks to provide evidence on the clinical and public health benefits of using LUS to improve the diagnosis and management of paediatric pneumonia in low-resource settings. If this intervention proves effective it could contribute significantly toward reducing unnecessary antibiotic prescriptions, thereby addressing AMR. The potential for LUS to be integrated into routine clinical practice could revolutionize pneumonia management, especially in areas with limited access to advanced diagnostic tools. Trial Registration This trial will be registered on ClinicalTrials.gov and The South African National Clinical Trials Register (SANCTR) prior to participant enrolment.

Preprint ARTICLE | doi:10.20944/preprints202404.1862.v1

A Systemic Model for Resilience and Time Management in Healthcare Academia

Maria Antoniadou, Rallis Antoniadis

Subject: Business, Economics And Management, Business And Management Keywords: Systemic approach; systems management; academia; academicians; time management; procrastination; prioritization; perfectionism; timewasters; systemic tools

Online: 29 April 2024 (10:25:02 CEST)

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Academics in healthcare grapple with the challenge of efficiently managing time while addressing diverse roles and responsibilities, leading to heightened levels of anxiety and stress within the academic community. The primary objective of this study is to offer a sustainable and systemic solution to the prevalent time-management challenges in healthcare academia, through the development of a predictive model. Employing systemic analysis software and adopting a systemic management approach, we crafted a model to address academic time-management concerns. The dynamics of time allocation for academicians are governed by three fundamental pillars: teaching, research, and administrative tasks. Significantly prioritizing administrative tasks depletes valuable academic time, making time management within academia excessively costly. This occurs as highly skilled individuals find themselves diverted towards administrative duties at the expense of their academic roles diminishing resilience levels. The proposed Timebooster Academic Systemic Model (TASM) advocates for the cultivation of soft skills in academia, en-compassing prioritization, seeking assistance, and addressing tendencies of perfectionism and procrastination. Additionally, TASM recommends the implementation of full automation, delegation of administrative responsibilities, and the mitigation of both overt and covert time-consuming elements. Furthermore, TASM reports on the pivotal role of the academic resilient manager-leaders, who actively contribute to their own satisfaction and academic growth by enhancing collaboration and teamwork. Time-management challenges emerge as a critical determinant of academic well-being and resilience. Systemic models, exemplified by TASM, offer a valuable framework for investigating prioritization concerns, identifying administrative impediments in academic processes, and managing low-value time-consuming elements. The TASM model, along with the systemic philosophy underpinning its design, presents an avenue for advancing the exploration of time-management phenomena within the context of healthcare academia.

Preprint ARTICLE | doi:10.20944/preprints202305.1283.v1

Heritage Enhancement through Digital Tools for Sustainable Fruition: A Conceptual Framework

Federica Maietti

Subject: Arts And Humanities, Architecture Keywords: digital heritage; sustainable tourism development; minor heritage sites; heritage enhancement; digital tools; social inclusion

Online: 18 May 2023 (07:11:02 CEST)

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Preprint REVIEW | doi:10.20944/preprints202301.0291.v1

Towards Sustainable Virtual Reality: Gathering Design Guidelines for Intuitive Authoring Tools

Iolanda Lima Chamusca, Cristiano Vasconcellos Ferreira, Thiago Barros Murari, Antonio Lopes Apolinário Jr., Ingrid Winkler

Subject: Computer Science And Mathematics, Information Systems Keywords: virtual reality; authoring tools; intuitiveness; digitization; sustainability; user-centered design; human-computer interaction; metaverse

Online: 17 January 2023 (01:41:25 CET)

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Preprint REVIEW | doi:10.20944/preprints202102.0447.v1

The Impacts of Covid-19 on Circular Economy: Gaining Insight across the SCOPUS and Web of Science Research Articles with Text Mining Techniques

Khoa Tran, Tuyet Anh Nguyen

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: circular economy; Covid-19; Voyant tools; environmental sustainability; social sustainability; economic sustainability; text mining

Online: 20 February 2021 (01:42:10 CET)

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Preprint REVIEW | doi:10.20944/preprints202004.0525.v1

The Epidemiology, Evolution, Transmission and Therapeutics of COVID-19 Outbreak: An Update on the Status

Karan Singh Labana, Amit Kumar Mittal, Akash Gujral

Subject: Medicine And Pharmacology, Pathology And Pathobiology Keywords: COVID-19; evolution of SARS-CoV-2; replication; emerging disease 2019 and diagnostic tools

Online: 30 April 2020 (10:39:54 CEST)

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Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an etiologic agent of the respiratory disease in humans that is known as coronavirus disease 2019 (COVID19). The first outbreak of the disease was initially documented in Wuhan, Hubei Province, China in late December 2019 where people had experienced SARS pneumonia-like symptoms with unknown etiology. Since then it has been observed that COVID-19 positive patients have been showing mild to severe upper respiratory illness symptoms. The type of virus is known to make its transfer from animals to humans and for the concerned virus; researchers have claimed its origin from bat coronavirus at whole-genome level with a 96 % sequence identity. The COVID-19 virus is very contagious and communicable in nature and has been spread throughout the globe since its first outbreak in China. On March 9, 2020, WHO declared it as a Pandemic, and within a month it was already reported to have shown its presence in 213 countries and territories or areas. As of April 29, 2020, this novel virus infected 3,218,183 people and caused 228,029 mortalities worldwide with a variable mortality rate from 3-13 % across the planet and also varied by age and gender. Diagnosis of the disease is a key component in understanding and controlling the spread of the virus and several techniques have been devised including RT-PCR, ELISA, and sequencing-based approaches. To cure COVID-19 patients as of now we do not have proven to be a safe and effective treatment. Therapeutic options currently under investigation in various parts of the world. However, there are various effective therapeutic targets to repurpose the present antiviral therapy for developing potential interventions against SARS-CoV-2. Boosting the immune system can also help to prevent and spread of COVID-19 using various medication and exercises. In this review, our goal to summarize and discussed the present scientific advancements to fight against this novel pandemic.

Preprint ARTICLE | doi:10.20944/preprints202003.0016.v1

OpenMethods: A Compass for a More Open Digital Humanities

Gimena del Rio Riande, Erzsébet Tóth-Czifra, Ulrike Wuttke, Yoann Moranville

Subject: Social Sciences, Library And Information Sciences Keywords: open research practices; digital humanities; scholarly communication; publication formats; infrastructure; research methodology; research tools

Online: 1 March 2020 (15:50:52 CET)

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Preprint ARTICLE | doi:10.20944/preprints201909.0063.v1

Computational Tools in the Discovery of FABP4 Ligands: A Statistical and Molecular Modeling Approach

Giuseppe Floresta, Davide Gentile, Giancarlo Perrini, Vincenzo Patamia, Antonio Rescifina

Subject: Chemistry And Materials Science, Medicinal Chemistry Keywords: FABP4; A-FABP; aP2; antidiabetes; antiobesity; antiatherosclerosis; anticancer; computational tools; computer-aided drug discovery

Online: 5 September 2019 (15:39:58 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201901.0328.v1

Application of Comprehensive Assessment System for Built Environment Efficiency (CASBEE) at City Level in Johor Bahru

Muhammad Akmal Hakim bin Hishammuddin, Gabriel Ling Hoh Teck, Loon Wai Chau, Chin Siong Ho

Subject: Computer Science And Mathematics, Software Keywords: built environment efficiency; CASBEE; MURNInets; climate change; low carbon; carbon emission; urban tools; city

Online: 31 January 2019 (14:18:50 CET)

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Preprint ARTICLE | doi:10.20944/preprints202405.2159.v1

Customer-Centric Supply Chains: How Marketing Innovations Drive Efficiency and Satisfaction

Lydia Bennett

Subject: Business, Economics And Management, Business And Management Keywords: customer-centric supply chains; marketing innovations; digital tools; data analytics; e-commerce; sustainability; emotional intelligence

Online: 31 May 2024 (14:12:17 CEST)

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This study explores the intricate dynamics of customer-centric supply chains and the pivotal role of marketing innovations in enhancing efficiency and customer satisfaction. Employing a qualitative research methodology, semi-structured interviews were conducted with key stakeholders in supply chain management across various industries, providing rich insights into the practices and perceptions related to customer-centric strategies. The findings highlight the centrality of understanding and anticipating customer needs, which necessitates a cultural shift within organizations to prioritize customer satisfaction at all levels. Digital marketing tools, data analytics, e-commerce platforms, and social media emerged as critical enablers of these customer-centric supply chains, facilitating real-time insights, direct customer engagement, and personalized experiences. The integration of these technologies has led to more accurate demand forecasting, optimized inventory levels, and enhanced agility and responsiveness in operations. Furthermore, the study underscores the importance of collaboration and partnership within the supply chain network, emphasizing joint initiatives and strong relationships with stakeholders as key drivers of improved resource utilization and service levels. Sustainability, entrepreneurship, and emotional intelligence also play significant roles in shaping effective customer-centric supply chains. Sustainable practices meet growing consumer demands for environmental and social responsibility, while an entrepreneurial mindset fosters continuous innovation and competitiveness. Emotional intelligence among leaders and employees enhances trust, conflict resolution, and collaboration, contributing to a positive organizational culture and superior customer satisfaction. Overall, this study provides comprehensive insights and actionable recommendations for businesses seeking to navigate the complexities of customer-centric supply chain management and leverage marketing innovations to achieve sustainable competitive advantage.

Preprint ARTICLE | doi:10.20944/preprints202312.1536.v1

Risk Screening Tools Could Potentially Miss Out HIV Positive Individuals Who Seek Testing Services: A Secondary Program Data Analysis on the Performance Characteristics of an Adolescent and Adult HIV Risk Screening Tool in Uganda

John Bosco Junior Matovu, Marvin Lubega, Katherine Guerra, Megan Ginivan, Yewande Kamuntu, George Senyama, Andrew Musoke, Fiona Gambaga, Shaukat Khan, Geoffrey Taasi, Sylivia Nalubega

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: HIV testing services; HIV risk screening; HIV risk screening tools; misclassification; HIV testing cost analysis

Online: 21 December 2023 (03:53:46 CET)

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Preprint ARTICLE | doi:10.20944/preprints202310.0101.v1

Evaluating design guidelines for intuitive virtual reality authoring tools: a NVIDIA Omniverse's experiment

Iolanda Chamusca, Ingrid Winkler, Cristiano Ferreira, Thiago Murari, Antônio Apolinario

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: virtual reality; authoring tools; NVIDIA Omniverse; intuitiveness; user-centered design; human-computer interaction; design guidelines

Online: 4 October 2023 (06:57:59 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202309.0389.v1

An Investigation into the Surface Integrity of Micro-Machined Hard Cutting Tools

Minh Nhat Dang, Surinder Singh, John Henry Navarro-Devia, Rosalie K. Hocking, Scott A. Wade, Guy Stephens, Angelo Papageorgiou, James Wang

Subject: Engineering, Industrial And Manufacturing Engineering Keywords: micro machining; cutting tools; tungsten carbide; high speed steels; surface roughness; surface finish; edge preparation

Online: 6 September 2023 (09:39:15 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202104.0234.v1

Tiltification — An Accessible App to Popularize Sonification

Malte Asendorf, Moritz Kienzle, Rachel Ringe, Fida Ahmadi, Debaditya Bhowmik, Jiumeng Chen, Kelly Huynh, Steffen Kleinert, Jatawan Kruesilp, Ying Ying Lee, Xin Wang, Wei Luo, Navid Mirzayousef Jadid, Ahmed Awadin, Varun Raval, Eve Emily Sophie Schade, Hasanur Jaman, Kashish Sharma, Colin Weber, Helena Winkler, Tim Ziemer

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: sonification apps; auditory displays; torpedo level; spirit level; tools; accessibility; auditory feedback; auditory user interface

Online: 8 April 2021 (11:25:41 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.1056.v1

Does the Use of Digital Marketing Communication and Sales Tools Affect the Economic Results of Polish SMEs?

Alina Rydzewska, Danuta Szwajca

Subject: Business, Economics And Management, Marketing Keywords: digital transformation; customer communication and sales tools; small and medium-sized enterprise; economic results; quantitative methods

Online: 14 August 2024 (15:15:07 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.0646.v1

Evaluating the Effectiveness of Supplier Relationship Management Tools in E-Commerce

Oliver Grant

Subject: Business, Economics And Management, Business And Management Keywords: Supplier Relationship Management, SRM Tools, E-commerce, Supply Chain Efficiency, Technological Advancements, Supplier Collaboration, Risk Mitigation

Online: 8 July 2024 (13:23:09 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202312.1455.v1

Discontinuities Characterization and Estimation of the Geological Strength Index by AI Tools on Flysch Materials

Julio Garzón-Roca, F. Javier Torrijo, Martín J. Rodríguez-Peces, Adrià Ramos

Subject: Engineering, Civil Engineering Keywords: Flysch materials; Geomechanical characterization; Discontinuities; Geological Strength Index; AI tools; Artificial Neural Network; Support Vector Machine

Online: 20 December 2023 (04:32:57 CET)

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Preprint ARTICLE | doi:10.20944/preprints202311.0997.v1

Bioinformatics Analysis of Global Diversity in Meningococcal Vaccine Antigens over the Past 10 Years; Vaccine Efficiency Prognosis

Viktoriia Yu. Savitskaya, Nina G. Dolinnaya, Vadim V. Strekalovskikh, Elizaveta S. Peskovatskova, Viktoriia G. Snyga, Vadim S. Trefilov, Mayya V. Monakhova, Elena A. Kubareva

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: Neisseria meningitidis serogroup B; meningococcal vaccine; bioinformatics tools; machine learning methods; multiple amino acid sequence alignments

Online: 15 November 2023 (14:29:43 CET)

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Preprint ARTICLE | doi:10.20944/preprints202106.0564.v1

Development of a Fuzzy Variable Rate Irrigation Control System Based on Remote Sensing Data to Fully Automate Center Pivots

Willians Ribeiro Mendes, Salah Er-Raki, Derek M. Heeren, Ritaban Dutta, Fábio M. U. Araújo

Subject: Engineering, Automotive Engineering Keywords: Remote sensing data; variable rate irrigation; irrigation management; fuzzy systems; decision support tools; intelligent center pivot

Online: 23 June 2021 (11:03:08 CEST)

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Preprint CASE REPORT | doi:10.20944/preprints202011.0286.v1

Long Term Sequelae of West Nile Neuroinvasive Disease in a 36 Years Old Woman

Muhammad Ali, Muhammad Haider, Naeem Akhtar

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: Clinical Neurology; Neuroinvasive Disease; Encephalitis; Meningitis; MRI Brain Scans; West-Nile Virus; Infectious Diseases; Diagnostic Tools

Online: 9 November 2020 (17:36:58 CET)

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Preprint ARTICLE | doi:10.20944/preprints202312.0099.v1

Nature - Based Solutions: Restoring Mangroves for Shoreline Protection and Other Ecosystem Services at Gazi Bay, Kenya

Gladys Kinya, James Gitundu Kairo, Rossa Ngendo Nyoike, Josphat Nguu Gachoki, Brian Kiiru Githinji, Michael Njoroge Githaiga

Subject: Biology And Life Sciences, Ecology, Evolution, Behavior And Systematics Keywords: mangrove restoration; modified restoration tools; nature-based solutions; disaster risk management, shoreline erosion; climate change, Gazi; Kenya

Online: 4 December 2023 (09:43:08 CET)

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Preprint ARTICLE | doi:10.20944/preprints202306.0315.v1

Quantifying the Economic and Financial Viability of NB-IoT and LoRaWAN Technologies: A Comprehensive Life Cycle Cost Analysis Using Pragmatic Computational Tools

Bernhard Koelmel, Max Borsch, Rebecca Bulander, Lukas Waidelich, Tanja Brugger, Ansgar Kuehn, Matthias Weyer, Luc Schmerber, Michael Krutwig

Subject: Computer Science And Mathematics, Other Keywords: Financial Viability; Life Cycle Cost Analysis; LPWAN; Pragmatic Computational Tools; Design Science Research, Data-driven decision making

Online: 5 June 2023 (12:00:41 CEST)

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Working Paper ARTICLE

Business Intelligence and Its Big Evolution

Andres Velosa, Gustavo Pabon

Subject: Engineering, Automotive Engineering Keywords: Business Intelligence; Data warehouse; Data Marts; Architecture; Data; Information; cloud; Data Mining; evolution; technologic companies; tools; software

Online: 24 March 2021 (13:06:53 CET)

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Preprint REVIEW | doi:10.20944/preprints202102.0529.v1

Virtual Screening of Potential Anticancer Drugs based on Microbial Products

Gaspar Pinto, Natalie Hendrikse, Jan Stourac, Jiri Damborsky, David Bednar

Subject: Chemistry And Materials Science, Analytical Chemistry Keywords: Caver Web; databases; libraries; microbial products; PredictSNPonco; molecular docking; molecular targets; mutations; treatment; virtual screening; web tools

Online: 23 February 2021 (15:59:19 CET)

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Preprint ARTICLE | doi:10.20944/preprints201612.0139.v1

A Kinematic Model to Compensate the Structural Deformations in Machine Tools Using Fibre Bragg Grating (FBG) Sensors

Francesco Aggogeri, Alberto Borboni, Rodolfo Faglia, Angelo Merlo, Nicola Pellegrini

Subject: Engineering, Mechanical Engineering Keywords: kinematic model; fiber Bragg grating; deformations; machine tools calibration; predicted model; multiple regression analysis; finite element analysis

Online: 29 December 2016 (07:39:26 CET)

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Preprint COMMUNICATION | doi:10.20944/preprints202401.0822.v1

Positive aspects and potential drawbacks of Implementing Digital Teaching/Learning Scenarios in Health Professions Using Nursing Education as an Example: A Research Report from Germany

Lydia Pfeifer, Sophia Fries, Alexander Stirner, Lisa Nagel, Christian Cohnen, Leona Aschentrup, Marleen Schönbeck, Annette Nauerth, Patrizia Raschper, Tim Herzig, Kamil J. Wrona

Subject: Public Health And Healthcare, Nursing Keywords: virtual reality; 360 degree video; digital tools; nursing education; VR-driven scenarios; pedagogical strategies; digital methodologies; immersion; collaboration

Online: 11 January 2024 (02:47:33 CET)

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Preprint ARTICLE | doi:10.20944/preprints202308.1792.v1

A Methodological Approach for Data Collection and Geospatial Information of Healthy public Spaces in Peripheral Neighborhoods. Case Studies: La Bota and Toctiuco, Quito-Ecuador

Ana Medina, Diana Mosquera, Francisco Gallegos

Subject: Social Sciences, Urban Studies And Planning Keywords: peripheral neighborhoods; public space assessment tools; co-location network; open access data; geospatial data science; network analysis; cartography.

Online: 25 August 2023 (09:18:00 CEST)

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