The Impact of Domestic Roles on Girls' Academic Performance in English in Maziba Sub County Kabale District. by Mwesigye, Fred

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Immersive gaze sharing for enhancing education: An exploration of user experience and future directions by Yuval Kahlon, Weiheng Hu, Momoko Nakatani, Santosh Maurya, Takuya Oki, Jiang Zhu, Haruyuki Fujii

“…Essentially, GS consists of sharing information regarding one's visual attention with another person, by automatically marking one's current point of interest on a digital display. …”
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Hyperspectral imaging facilitating resect‐and‐discard strategy through artificial intelligence‐assisted diagnosis of colorectal polyps: A pilot study by Cheng Peng, Chong Xuan Tian, Yijun Mu, Mingjun Ma, Zhenlei Zhang, Meng Wan, Jing Liu, Zhen Li, Xiuli Zuo, Wei Li, Yanqing Li

“…A residual neural network model was trained with transfer learning to automatically differentiate colorectal polyps, validated by histopathologic diagnosis. …”
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Simultaneous Profiling of Terpenes and Cannabinoids in Hemp Essential Oils Using Static Headspace Gas Chromatography–Mass Spectrometry for Quality Control and Chemotype Differentia... by Nathareen Chaiwangrach, Sirikan Mukda, Prapapan Temkitthawon, Nitra Nuengchamnong, Sarita Pinmanee, Thapakorn Somboon, Panatpong Boonnoun, Kornkanok Ingkaninan

“…This work demonstrates, for the first time, a solvent-free, automatable SHS-GC-MS approach for simultaneous terpene and cannabinoid profiling in hemp essential oils, enabling both qualitative and quantitative characterization and supporting regulatory compliance for the development of standardized phytopharmaceutical products.…”
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An Intelligent Agent-Based Resilient Framework for Marine Vessel Mission Adaptations by Nikos Kougiatsos, Evelien L. Scheffers, Marcel C. van Benten, Dingena L. Schott, Peter de Vos, Rudy R. Negenborn, Vasso Reppa

“…To this end, the multi-level vessel control system is described by a semantic database, a knowledge graph used to connect the components automatically, and quantitative service criteria. Considering the system architecture, the optimal modification is deduced using modularity and complexity criteria, originating from the field of network theory. …”
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The equivalent value (EV)-based workload assessment of primary healthcare workers in Beijing, China by Shasha Yuan, Tao Yin, Naijie Weng, Zheng Wang, Delu Yin

“…Abstract Background Quantitative methods for estimating the workload of primary healthcare (PHC) workers are essential for improving the performance of PHC institutions. …”
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Detection of Bipolar Disorder and Schizophrenia Employing Bayesian-Optimized Grad-CAM-Driven Deep Learning by Osman Tayfun Bişkin, Cemre Candemir, Mustafa Alper Selver

“…Deep learning (DL) has emerged as a transformative tool in neuroimaging analysis, offering the ability to automatically extract intricate features from large datasets. …”
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Evaluation and interpretation of DTI-ALPS, a proposed surrogate marker for glymphatic clearance, in a large population-based sample by Siddhartha Satpathi, Robert I. Reid, Scott A. Przybelski, Sheelakumari Raghavan, Petrice M. Cogswell, Nolan K. Meyer, Val J. Lowe, Jeffrey L. Gunter, Ronald C. Petersen, Clifford R. Jack, Jonathan Graff-Radford, Prashanthi Vemuri

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Junior doctor-led quality improvement project to improve safety and visibility of an interspecialty referral system by Jo Morrison, Jeni Pillai, Dowan Kwon, Won Young Moon, Michelle Akhunbay-Fudge, Brandon Pieters, Charlie Wilson

“…In a district general hospital, a web-based system generated an email referral, which lacked visibility and tracking/audit of the process, with no record generated automatically in paper inpatient notes or electronic patient records (EPR). …”
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Designing a Business Model in the Tourism Industry of Iran by Amirhossein Samadian, Saeid Ehdaie, kamyar Raissifar

“…Businesses in the field of tourism use various types of communication, including self-service, dedicated response, personal response, customer community (forum, etc.), automatic services, and joint creation through feedback. …”
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Accurate and Noninvasive Dysphagia Assessment via a Soft High‐Density sEMG Electrode Array Conformal to the Submental and Infrahyoid Muscles by Weijie Hong, Lin Mao, Kai Lin, Chongyuan Huang, Yanyan Su, Shun Zhang, Chengjun Wang, Daming Wang, Jizhou Song, Zuobing Chen

“…By comparing HD‐sEMG signals collected from 38 participants, three objective indicators for quantitative dysphagia evaluation were discussed. Finally, a machine learning model was developed to accurately and automatically classify the severity of dysphagia, and the factors affecting the recognition accuracy of the model were discussed in depth.…”
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Cattle welfare assessment based on adaptive fuzzy logic and multimodal data fusion by Lei Tong, Lei Tong, Lei Tong, Jiandong Fang, Jiandong Fang, Jiandong Fang, Xiuling Wang, Xiuling Wang, Xiuling Wang, Yudong Zhao, Yudong Zhao

“…The method establishes a quantitative scoring system based on behavioral duration and individual group differences, and designs a multi-modal data processing framework that combines Backpropagation (BP) neural networks with adaptive fuzzy logic. …”
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Triple-E Principle: Leveraging Occam’s Razor for Dance Energy Expenditure Estimation by Kuan Tao, Kun Meng, Bingcan Gao, Junchao Yang, Junqiang Qiu

“…A deep-learning network pipeline based on the Extension principle automatically extracted features, achieving an average RMSE to 0.15. …”
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Big Earth data processing using machine learning for integrated mapping of the dead sea fault, Jordan by Polina Lemenkova

“…The results presented cartographic layouts of qualitative and quantitative maps with statistical summaries (histograms). …”
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Closing Gaps in Chronic Kidney Disease Detection: Evaluating At-Home Targeted Testing in a Safety-Net Population by Megan Schultz, Katelyn Laue, Nicole Bryer, Andrew Bzowyckyj, Anuja Java, Leslie Lake, Elizabeth Talbot-Montgomery, Brit Sovic, Bri’Anna Watson, Joseph A. Vassalotti

“…Methods: Through electronic health record (EHR) data analysis, eligible patients were identified to receive an at-home, semi-quantitative urine albumin-creatine ratio (uACR) testing kit. …”
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Big Earth data processing using machine learning for integrated mapping of the dead sea fault, Jordan by Polina Lemenkova

“…The results presented cartographic layouts of qualitative and quantitative maps with statistical summaries (histograms). …”
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Investigation of 3D iris morphology early alteration after implantable collamer lens implantation by using SS-OCT by Zhengwei Zhang, Shuimiao Chang, Kaiwen Li, Jinhan Yao, Zhao Wang, Jiewei Liu, Lin Jiang, Feiyan Chai, Xiaogang Wang

“…A multitask network automatically performed iris SS-OCT image segmentation and quantitative measurements of 3D iris morphology (iris thickness and volume of the inner 1-mm annular area and the outer 1–2-mm annular area, iris curvature [I-Curve], and iris smooth index [SI]). …”
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Automated vicarious radiometric validation of spaceborne thermal infrared sensors at non-dedicated validation sites using deep learning-based cloud filtering by Soushi Kato, Toru Kouyama

“…Consequently, 169, 58, 500, and 130 matchups were automatically identified for daytime ASTER, nighttime ASTER, Landsat 8, and Landsat 9, respectively. …”
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An App-Based Intervention With Behavioral Support to Promote Brisk Walking in People Diagnosed With Breast, Prostate, or Colorectal Cancer (APPROACH): Process Evaluation Study by Fiona Kennedy, Susan Smith, Rebecca J Beeken, Caroline Buck, Sarah Williams, Charlene Martin, Phillippa Lally, Abi Fisher

“…They were randomly assigned to the intervention or control (usual care) arm and assessed via quantitative surveys at baseline (time point 0 [T0]) and 3-month follow-up (time point 1 [T1]) and qualitative exit interviews (36/44, 82%) at T1. …”
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A novel automated CT biomarker to predict outcomes in acute ischemic stroke: net water uptake by Monica Mallavarapu, Hyun Woo Kim, Ananya Iyyangar, Sergio Salazar-Marioni, Albert J. Yoo, Luca Giancardo, Sunil A. Sheth, Jerome A. Jeevarajan

“…Among the subgroups, performance was again similar, including patients with large infarct core (AUROC 0.795 vs. 0.863, p = 0.312) and late time window (AUROC 0.638 vs. 0.677, p = 0.267).ConclusionNWU is a quantitative metric that can be rapidly and automatically obtained from non-contrast CT with comparable performance to ASPECTS when predicting 90-day functional outcome across a wide range of AIS presentations.…”
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