Assessing the Role of Electronic Banking on Performance of Micro Financial Institutions: A Case Study of Pride Micro Finance Limited Kabale District. by Twagirayesu, Bertin

“…The study found that The study findings on the importance of electronic banking methods in microfinance institutions. the results were obtained from; a digital signature for security. convenience way of operating banking transactions, faster transfer, reliability, and time factor. the study went ahead to find the types of electronic banking methods adopted in microfinance towards their performance and the responses were obtained from mobile/SMS banking. electronic funds transfers. self Service (PC) banking, POS Banking (Credit and Debit cards), internet banking, and an automated teller machine the study findings on the relationship between electronic banking on the performance of microfinance institutions, the results revealed that there is a very high positive significant relationship between electronic banking on the performance of microfinance institutions that is 0.853 significant at 0.0I level of a two-tailed test with 50 degrees of freedom. …”
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Optimization of determination and application of complexly distributed loads on a double curvature cable-stayed covering by V. A. Dagaev, G. M. Purvin, F. S. Shkoliar

“…This more accurate approach together with the results of aerodynamic tests and automated data transfer to the calculation systems will allow to determine more accurately the SSS of complex coverings, to avoid recalculation and reassignment of complex non-uniformly distributed linear and nonlinear loads in the calculation schemes when changing the initial data with saving labour and time costs for the control of these processes.…”
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Development and validation of a high-throughput qPCR platform for the detection of soil-transmitted helminth infections. by Nils Pilotte, Victor Omballa, Monica Voss, Leah Padgett, Malathi Manuel, Jeanne L Goodman, Tim Littlewood, Zayina Zondervenni Manoharan, Lisette van Lieshout, Jaco J Verweij, Manigandan Sekar, Ajith Kumar Muthukumar, Gretchen Walch, Abriana Warren, Mariyam Sheikh, Andrew Gonzalez, Sean R Galagan, Sitara Swarna Rao Ajjampur, Moudachirou Ibikounlé, Steven A Williams, Doug Rains, Ushashi Dadwal, Judd L Walson

“…<h4>Methodology/principal findings</h4>Through the development, selection, and validation of appropriate controls, we have successfully created and evaluated the performance of a testing platform capable of the semi-automated, high-throughput detection of four species of STH in human stool samples. …”
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Accuracy of Deep Learning Algorithms for the Diagnosis of Retinopathy of Prematurity by Fundus Images: A Systematic Review and Meta-Analysis by Jingjing Zhang, Yangyang Liu, Toshiharu Mitsuhashi, Toshihiko Matsuo

“…The application of a DL-based automated system may improve ROP screening and diagnosis in the future.…”
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Improving Crack Detection Precision of Concrete Structures Using U-Net Architecture and Novel DBCE Loss Function by Andrew Prasetyo, I Ketut Eddy Purnama, Eko Mulyanto Yuniarno, Priyo Suprobo

“…To address this, we developed an automated technique utilizing the U-Net framework with a novel loss function that we named DBCE Loss. …”
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VR-Based Workplace Training and Spaces of Learning: A Social Space Study of VR Training for Apprentice Electricians by Katrin Kraus, Martin Berger, Thomas Keller, Elke Brucker-Kley

“…Other important findings of the study are: Automated access to learning opportunities reduces pressure on the teaching-learning relationship; the haptic dimension of work is important for competence development; the VR environment enables personalized learning with unlimited opportunities for practice; the lack of variety in the operational scenario enables apprentices to focus on practicing and perfecting procedures but does not reflect the complexity of the real world.  …”
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Potentially Toxic Elements’ Accumulation and Health Risk of Consuming Vegetables Cultivated along the Accra-Tema Motorway by Ebenezer Boahen, Benedicta Yayra Fosu-Mensah, Samuel S. Koranteng, Daniel A. Darko, Gerald Obuobi, Michael Mensah

“…Vegetable samples were digested using an automated digester, Behrotest model K8, and levels of potentially toxic elements were analyzed using an atomic absorption spectrophotometer (AAS) PinAAcle 900T. …”
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Lengths of Stay and Stopover Strategies of Western Sandpipers During Migration at Two Sites in British Columbia, Canada by Anne L. Blondin, Mark C. Drever, Scott A. Flemming, Wendy E. Easton, Mark Maftei, Yuri Zharikov, Nils Warnock, Erica Nol

“…In this study, we used VHF tags and a Motus automated telemetry array to estimate the length of stay of 385 Western Sandpipers (Calidris mauri) migrating through two stopover sites in British Columbia, Canada (Tofino and Fraser River Estuary) over the course of seven migration periods (three northward and four southward) from 2018 to 2021. …”
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WED-YOLO: A Detection Model for Safflower Under Complex Unstructured Environment by Zhenguo Zhang, Yunze Wang, Peng Xu, Ruimeng Shi, Zhenyu Xing, Junye Li

“…Accurate safflower recognition is a critical research challenge in the field of automated safflower harvesting. The growing environment of safflowers, including factors such as variable weather conditions in unstructured environments, shooting distances, and diverse morphological characteristics, presents significant difficulties for detection. …”
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A Chisel Generator for Standardized 3-D Die-to-Die Interconnects by Harrison Liew, Farhana Sheikh, Jong-Ru Guo, Zuoguo Wu, Borivoje Nikolic

“…The generator framework leverages the Chisel hardware description language to allow designers to do the following: 1) compile a port list directly into a PHY; 2) automate design and physical design (PD); and 3) perform design space exploration of interconnect features (e.g., bump map pitch, clocking architecture, and others). …”
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Investigating Maps of Science Using Contextual Proximity of Citations Based on Deep Contextualized Word Representation by Muhammad Roman, Abdul Shahid, Shafiullah Khan, Lisu Yu, Muhammad Asif, Yazeed Yasin Ghadi

“…Various attempts have been made to study the citation context to capture the citation intent, but very few have encoded the words to their contextual representations. For automated classification, we need to train deep learning models, which take the citation context as input and provides the reason for citing a paper. …”
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Association between prenatal exposure to phthalate esters and blood pressure in children aged 3–7 years: A prospective cohort study by Zihao Wang, Yu Zhang, Wenwen Yang, Mengfei Xu, Beini Li, Ping Wu, Zhongqiang Cao, Wei Wu

“…Systolic (SBP) and diastolic blood pressure (DBP) were measured by physicians using an automated oscillometric sphygmomanometer and childhood hypertension was defined according to the American Academy of Pediatrics 2017 guidelines. …”
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Detection of High- and Low-Risk HPV DNA in Archived Breast Carcinoma Tissues from Ethiopian Women by Endale Gebregzabher, Daniel Seifu, Wondemagegnhu Tigneh, Yonas Bokretsion, Abebe Bekele, Markos Abebe, Gabriella Lillsunde-Larsson, Christina Karlsson, Mats G. Karlsson

“…IHC for p16 was done using an automated system, the Dako Autostainer Link. Results. …”
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The importance of trunk motion in wearable based infant spontaneous movement analysis by María Marín-Palma, Ignacia Rojas-Sepulveda, Jessica Becerra-Caroca, José Carrasco-Plaza, Ramiro Zepeda, Pablo Ignacio Burgos

“…In such contexts, the use of inertial sensors combined with automated analysis presents a promising accessible alternative; however, more research is necessary to get results comparable to those of the Precht method. …”
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Multiclass Supervised Learning Approach for SAR-COV2 Severity and Scope Prediction: SC2SSP Framework by Shaik Khasim Saheb, B. Narayanan, T.V. Narayana Rao

“…The proposed SC2SSP approach attains 3.101% and 7.12% higher accuracy; 24.13% and 13.04% higher precision compared with existing methods, like the Detection of COVID-19 from Chest X-ray Images Using Convolutional Neural Networks (Resnet50), Deep learning for automated recognition of covid-19 from chest X-ray images (VGGNet), respectively. …”
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Effects of diesel exhaust inhalation on cognitive performance in human volunteers: A randomized controlled crossover study by Jason Curran, A.J. Hirsch Allen, Christopher F. Rider, Robin Shutt, Chris Carlsten

“…Volunteers completed five computerised neuropsychological tests of the Cambridge Neuropsychological Test Automated Battery (CANTAB) prior to (2-hr before) and at three timepoints following each exposure condition (0-hr, 3-h post-, and 24-h post-exposure). …”
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Performance evaluation of the smartphone-based AI cough monitoring app - Hyfe Cough Tracker against solicited respiratory sounds [version 2; peer review: 1 approved, 2 approved wit... by Isabel Blavia, Juliane Chaccour, Eric M. Keen, Virginia Orrillo, Mindaugas Galvosas, Matthew Rudd, Juan C. Gabaldón-Figueira, Simon Grandjean Lapierre, Carlos Chaccour, Peter M. Small, Gerard Giménez

“…We propose standard procedures to use multi-observer cough sound annotation from continuous audio recordings as the gold standard for evaluating automated cough detection devices. Methods: This study was embedded in a larger digital acoustic surveillance study (clinicaltrial.gov NCT04762693). …”
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AI enabled, mobile soil pH classification with colorimetric paper sensors for sustainable agriculture. by Ademir Ferreira da Silva, Ricardo Luis Ohta, Jaione Tirapu Azpiroz, Matheus Esteves Ferreira, Daniel Vitor Marçal, André Botelho, Tulio Coppola, Allysson Flavio Melo de Oliveira, Murilo Bettarello, Lauren Schneider, Rodrigo Vilaça, Noorunisha Abdool, Vanderlei Junior, Wellington Furlaneti, Pedro Augusto Malanga, Mathias Steiner

“…Colorimetric paper sensors are ideal candidates, however, their automated readout and analysis in the field is needed. …”
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Performance of artificial intelligence on cervical vertebral maturation assessment: a systematic review and meta-analysis by Termeh Sarrafan Sadeghi, Seyed AmirHossein Ourang, Fatemeh Sohrabniya, Soroush Sadr, Parnian Shobeiri, Saeed Reza Motamedian

“…AI has the potential to automate CVM assessment, enhancing reliability and user-friendliness. …”
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A deep learning approach for automatic 3D segmentation of hip cartilage and labrum from direct hip MR arthrography by Malin Kristin Meier, Ramon Andreas Helfenstein, Adam Boschung, Andreas Nanavati, Adrian Ruckli, Till D. Lerch, Nicolas Gerber, Bernd Jung, Onur Afacan, Moritz Tannast, Klaus A. Siebenrock, Simon D Steppacher, Florian Schmaranzer

“…In this retrospective single-center study, CNNs with a U-Net architecture were used to develop a fully automated segmentation model for hip cartilage and labrum from MRI. …”
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