Perspectives of Hispanic and Latinx Community Members on AI-Enabled mHealth Tools: Qualitative Focus Group Study by Stephanie A Kraft, Shaan Chopra, Miriana C Duran, Janet A Rojina, Abril Beretta, Katherine I López, Russell Javan, Benjamin S Wilfond, Margaret Rosenfeld, James Fogarty, Linda K Ko

“…We identified the following seven themes: (1) mHealth is seen as beneficial for promoting health and peace of mind; (2) some are unaware of, unfamiliar with, or uncomfortable with technology and may benefit from individualized support; (3) financial barriers limit access to mHealth; (4) practical considerations create barriers to using mHealth in daily life; (5) mHealth raises concern for overreliance on technology; (6) automated mHealth features are perceived as valuable but fallible, requiring human input to ensure accuracy; and (7) data sharing is seen as valuable for limited uses but raises privacy concerns. …”
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Plasma S100β is a predictor for pathology and cognitive decline in Alzheimer’s disease by Geetika Nehra, Bryan J. Maloney, Rebecca R. Smith, Wijitra Chumboatong, Erin L. Abner, Peter T. Nelson, Björn Bauer, Anika M. S. Hartz

“…Isolated human brain microvessels were assayed for tight-junction protein expression using the JESS™ automated Western blot system. S100 calcium-binding protein B (S100β), matrix metalloproteinase (MMP)-2, MMP-9, and neuron-specific enolase (NSE) levels in plasma were quantified by ELISA. …”
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Technical note: A fast and reproducible autosampler for direct vapor equilibration isotope measurements by J. Pyschik, S. Seeger, S. Seeger, B. Herbstritt, M. Weiler

“…To address these challenges, we have developed a system that automates the analysis process. Our autosampler for vapor samples, named VapAuSa, features a modular design that allows for up to 350 ports for direct vapor equilibration samples. …”
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Designing the strategic model of online banking relational marketing in the fourth industrial revolution with the foundation's data approach. by Aliasghar Atarodi, arezo ahmadi danyali, nader gharib nawaz

“…Oil and electricity facilitated mass production in the second industrial revolution, and information technology was used to automate production in the third industrial revolution. …”
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Analysis of central retinal microcirculation in glaucoma after neuroretinoprotective treatment by N.G. Glazko, A.E. Egorov

“…., visual acuity measurement, autorefractometry, slit lamp exam, eye fundus exam, IOP measurement, questioning to assess subjective vision, static automated perimetry, and optical coherence tomography angiography (OCTA) to evaluate foveal avascular zone / FAZ (area, perimeter, and circularity index). …”
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PSTR: A Test Case Reuse Method Based on Path Similarity by Xinyue Xu, Sinong Chen, Zhonghao Guo, Xiangxian Chen

“…While the generation of test cases can be automated, the creation and adjustment of test oracles (expected outputs or behaviors) still require significant manual effort. …”
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Advances in machine learning applications to resource technology for organic solid waste by Hongzhi MA, Yichan LIU, Jihua ZHAO, Fan FEI, Ming GAO, Qunhui WANG

“…By linking ML with data-driven control strategies, such as model predictive control, it may be possible to develop fully automated, intelligent OSW treatment systems that optimize resource recovery and minimize environmental impact. …”
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Migrasi Data Hasil Optimalisasi Pemuatan Kontainer Pada Legacy System ke SAP untuk Mempercepat Pembuatan Surat Jalan dengan Batch Data Communication (BDC) by Rehulina Tarigan, Ely Nuryani, Susy Katarina Sianturi, Nur Hidayanti, Widyawati Widyawati

“…The BDC method is used to migrate to SAP, namely by transferring order data resulting from loading optimization from CSO to SAP and automating the picking and packing process in SAP to produce delivery note. …”
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Brimonidine as an additional treatment for moderate glaucoma by I.R. Gazizova, V.E. Korelina

“…All patients underwent IOP measurements and static automated perimetry (SAP) at baseline and after 6 and 12 months.…”
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Pengembangan Auto-AI Model Generatif Analisis Kompleksitas Waktu Algoritma Untuk Data Multi-Sensor IoT Pada Node-RED Menggunakan Extreme Learning Machine by Imam Cholissodin, Dahnial Syauqy, Dwi Ady Firmanda, Ibrahim Aji, Edy Rahman, Syazwandy Harahap, Fernando Septino

“…The steps in the study are utilized to create a generative model based on the Extreme Learning Machine (ELM) algorithm according to the recording of computational time values on several tests to automate the determination of time complexity equation model of the algorithm in general including the search of best cases, worst cases, and average cases for non-recursive, and base cases and recurrent cases for recursive, as well as algorithms that contain both. …”
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Structure-Function Relationship between Cluster Mean Defect and Sector Peripapillary Retinal Nerve Fiber Layer Thickness in Primary Open Angle Glaucoma by Jing Han, Wenjiu Yang, Dabo Wang, Haiqing Bai

“…To determine the structure–function relationship between cluster mean defect (MD) offered by standard automated perimetry and corresponding sector peripapillary retinal nerve fiber layer thickness (pRNFLT) measured with optical coherence tomography (OCT) in primary open angle glaucoma (POAG). …”
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Obtaining patient phenotypes in SARS-CoV-2 pneumonia, and their association with clinical severity and mortality by Fernando García-García, Dae-Jin Lee, Mónica Nieves-Ermecheo, Olaia Bronte, Pedro Pablo España, José María Quintana, Rosario Menéndez, Antoni Torres, Luis Alberto Ruiz Iturriaga, Isabel Urrutia, COVID-19 & Air Pollution Working Group

“…Conclusion A compound unsupervised clustering technique (including a fully-automated optimization of its internal parameters) revealed the existence of three distinct groups of patients – phenotypes. …”
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Comparison of Influence of Office and 24‐h Central Aortic Blood Pressure on Target Organ Damage in Hypertension by Yueliang Hu, Hui Yang, Guili Chang, Yaya Bai, Alberto Avolio, Qian Wang, Shenshen Gao, Junli Zuo

“…Twenty‐four hour central aortic BP was measured by means of a noninvasive automated oscillometric device (Mobil‐O‐Graph). Office BP was measured with a validated oscillometric Omron device after a 5‐min rest in a sitting position. …”
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Changes in alcohol consumption among Belgian adults participating in the internet-based one-month-abstinence campaign ‘Tournée Minérale’ by Annelies Thienpondt, Jelle Van Cauwenberg, Joris Van Damme, Gera E. Nagelhout, Benedicte Deforche

“…Methods TMC is a fully automated mass media prevention campaign challenging Belgian adults to refrain from alcohol during the month February. …”
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Identification of Lauric Acid as a Potent Sodium Channel NaV1.5 Blocker from Compound Chinese Medicine Wenxin Keli by Xie W, Gao J, Liang Y, Huang C, Zhang B, Chen X, Yao X, Nan G, Wu H, Wang Y, Wu L, Wang T, Zhu Y

“…This study focused on identifying the active inhibitor of INa in WXKL and exploring their mode of action in electrophysiological conduction.Methods: A chemical fraction library was constructed from an aqueous extract of WXKL and screened using an automated patch-clamping system in cells stably expressing the NaV 1.5 gene SCN5A. …”
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New avenues of preoperative evaluation before corneal refractive surgery during the COVID-19 pandemic by S.N. Sakhnov, O.A. Klokova, A.V. Piskunov, R.O. Damashauskas, M.S. Geidenrich, E.I. Dyakonova

“…Both Visionix VX130+ and Nidek NT-530P (automated IOP measurements) produce two values, i.e., with and without corneal thickness. …”
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Development and Validation of a Cost-Effective Machine Learning Model for Screening Potential Rheumatoid Arthritis in Primary Healthcare Clinics by Wu W, Hu X, Yan L, Li Z, Li B, Chen X, Lin Z, Zeng H, Li C, Mo Y, Wu Y, Wang Q

“…In an external test on two primary healthcare datasets with these features, RF demonstrated an accuracy of 88.435% (95% CI 85.55% to 91.32%), sensitivity of 98.55% (95% CI 97.47% to 99.63%), specificity of 85.56% (95% CI 82.39% to 88.73%), and an AUC of 92.055% (95% CI 89.62% to 94.49%).Conclusion: The screening model excels in automating prompt identification of RA in primary healthcare, improving the early detection of RA, and reducing delays and associated costs. …”
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Innovación en sueño by Laura Vigil, Toni Zapata, Andrea Grau, Marta Bonet, Montserrat Montaña, María Piñar

“…However, the integration of artificial intelligence (AI) in sleep medicine has made it possible to automate the analysis of sleep phases and respiratory events with high accuracy.Machine learning algorithms and neural networks have proven to be effective in automatic sleep coding, with hit rates comparable to those of human experts. …”
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High-quality targeted temperature management combined with decompressive craniectomy in patients with poor-grade aneurysmal subarachnoid hemorrhage: a secondary analysis of a multi... by Yang Liu, Bingsha Han, Yanru Li, Zhiqiang Ren, Yong Chen, Ming Zhang, Jiao Li, Jv Wang, Fan Yang, Mengyuan Xu, Jiaqi Zhang, Pengzhao Zhang, Tiancai Wang, Jinying Tian, Guang Feng

“…The TTM-DC group used automated devices with a temperature feedback system (TFS). …”
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Trends in Mental Health Outcomes of College Students Amid the Pandemic (Roadmap mHealth App): Longitudinal Observational Study by Gautham Jayaraj, Xiao Cao, Adam Horwitz, Michelle Rozwadowski, Skyla Shea, Shira N Hanauer, David A Hanauer, Muneesh Tewari, Kerby Shedden, Sung Won Choi

“…ObjectiveThis study aimed to examine the trends in mental health and well-being outcomes over 3 years among college students, with an exploratory aim to assess the potential impact of the Roadmap mHealth app on these outcomes. MethodsA fully automated longitudinal observational study was conducted remotely from a large public academic institution in the Midwestern United States, evaluating mental health and well-being outcomes among college students using the Roadmap mHealth app over 3 fall semesters from 2020 to 2022. …”
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