Psychosomatic Complications of Decreased or Impaired Generative Function in General Medical Patients (Review) by V. E. Medvedev

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Structural and Functional Models for Building New Generation Automated and Robotic Dairy Farms by V. V. Kirsanov

“…(Conclusions) The authors developed methods, models, structural and functional schemes for modular construction of new generation automated and robotic dairy farms of various shapes and sizes. …”
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Feasibility and acceptability of switching from a previous-generation to a new-generation mask for positive airway pressure therapy of sleep apnea using remote care by Xueling Zhu, Adam Benjafield, Ross Deas, Leslee Willes, Jeff Armitstead

“…This study investigated the patient's experience when switching from a previous-generation PAP mask to a new-generation mask via remote care. …”
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Health Care Social Robots in the Age of Generative AI: Protocol for a Scoping Review by Paul Notger Lempe, Camille Guinemer, Daniel Fürstenau, Corinna Dressler, Felix Balzer, Thorsten Schaaf

“…ObjectiveWe present a protocol for a scoping review of the literature on the implementation of generative AI in SR in the health care sector. The aim of this scoping review is to map out the intersection of SR and generative AI in the health care sector; to explore if generative AI is applied in SR in the health care sector; to outline which models of generative AI and SR are used for these implementations; and to explore whether user acceptance is reported as an outcome following these implementations. …”
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Monocytes Undergo Functional Reprogramming to Generate Immunosuppression through HIF-1α Signaling Pathway in the Late Phase of Sepsis by Li-Li Li, Bing Dai, Yu-Han Sun, Ting-Ting Zhang

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Personalized prediction model generated with machine learning for kidney function one year after living kidney donation by Rikako Oki, Toshihio Hirai, Kazuhiro Iwadoh, Yu Kijima, Hiroyuki Hashimoto, Yasunori Nishimura, Taro Banno, Kohei Unagami, Kazuya Omoto, Tomokazu Shimizu, Junichi Hoshino, Toshio Takagi, Hideki Ishida, Toshihito Hirai

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Metagenomic next-generation sequencing assisted in the successful treatment of pneumonia caused by Talaromyces marneffei in an immunocompetent patient by Ling-Yan Ye, Xu-Ling Zhao, Jia-Jia Qin, Jian Lin

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OPERATIONAL RISK MANAGEMENT GENERATED BY THE DIGITALIZATION OF THE BANKING SYSTEM by SLUSARIUC GABRIELA CORINA

“…Although technology can bring considerable improvements in the efficiency of banking activities, it also generates a series of vulnerabilities that require careful and continuous management. …”
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Next generation performance status: digital health technologies across the lung cancer continuum by Julia Scarpa, Iqram Hussain, Alex Cheng, Jonathan Villena-Vargas, Richard Boyer

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Compassionate Care with Autonomous AI Humanoid Robots in Future Healthcare Delivery: A Multisensory Simulation of Next-Generation Models by Joannes Paulus Tolentino Hernandez

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Quality of life of 26 family members from four generations with X-linked hypophosphatemia: a cross-sectional study by Afaf I. Alsagheir, Afaf I. Alsagheir, Bassam Bin-Abbas, Bassam Bin-Abbas, Nujud M. Alghamdi, Raghad T. Alhuthil, Sarah A. Murad, Tala H. Husein, M. Zulf Mughal, Zehour E. Alsabban, Layla M. Almarzoug, Khushnooda Ramzan

“…IntroductionX-linked hypophosphatemia (XLH) is a lifelong, progressive genetic condition affecting patients’ physical health and quality of life.MethodsThis cross-sectional study aimed to understand the burden of XLH on four generations of family members with XLH. 26 family members with XLH from Saudi Arabia were assessed via a home visit and clinical assessment in hospital. …”
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Mother Paul’s care for his Corinthian children: A text-centered analysis of 1 Cor. 3:1–4 metaphor by Tsholofelo J. Kukuni

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Do generational diversity and perceived similarity improve team functioning in rural Chinese hospitals? A cross-sectional survey study by Martina Buljac-Samardžić, Joris van de Klundert, Jeroen van Wijngaarden, Hujie Wang

“…While research has revealed various positive and negative impacts of generational diversity on team functioning, the understanding of the mechanism explaining how generational diversity influences team functioning is still limited. …”
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The Co-Piloting Model for Using Artificial Intelligence Systems in Medicine: Implementing the Constrained-Disorder-Principle-Based Second-Generation System by Yaron Ilan

“…Some of these systems are designed to perform activities that demand human cognitive function. However, use of these systems in routine care by patients and caregivers lags behind expectations. …”
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A Deep Learning-Driven Black-Box Benchmark Generation Method via Exploratory Landscape Analysis by Haoming Liang, Fuqing Zhao, Tianpeng Xu, Jianlin Zhang

“…In the context of algorithm selection, the careful design of benchmark functions and problem instances plays a pivotal role in evaluating the performance of optimization methods. …”
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Development of a 1.0 KVA Fuelless Generator by Blessing Ngozi Goodluck Aliemeke, Munirat Abdullawal Momoh, Mercy Onoshioze Asekhome, Christian Azuka Anani, Afoke Chief Vincent

“…Comprehensive performance testing validated the functionality and reliability of the developed generator under various load conditions. …”
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Use of a Medical Communication Framework to Assess the Quality of Generative Artificial Intelligence Replies to Primary Care Patient Portal Messages: Content Analysis by Natalie S Lee, Nathan Richards, Jodi Grandominico, Robert M Cronin, Amanda K Hendricks, Ravi S Tripathi, Daniel E Jonas

“… Abstract BackgroundThere is growing interest in applying generative artificial intelligence (GenAI) to respond to electronic patient portal messages, particularly in primary care where message volumes are highest. …”
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Effects of pre-storage leukoreduction on erythrocyte concentrates and performance of newer generation leuko-filters at a tertiary care oncology hospital in Western India by Deep Madkaiker, Shashank Ojha, Arunkumar N., Kalpesh Chawan

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Next-Generation Biomaterials for Wound Healing: Development and Evaluation of Collagen Scaffolds Functionalized with a Heparan Sulfate Mimic and Fibroblast Growth Factor 2 by Merel Gansevoort, Sabine Wentholt, Gaia Li Vecchi, Marjolein de Vries, Elly M. M. Versteeg, Bouke K. H. L. Boekema, Agnes Choppin, Denis Barritault, Franck Chiappini, Toin H. van Kuppevelt, Willeke F. Daamen

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Using computer-generated protein models to analyze mutations linked to Amelogenesis Imperfecta. by Nazlee Sharmin, Jerald Yuan, Ava K Chow

“…Computational approaches for automated protein structure prediction have become a popular alternative for generating protein 3D structures. In this study, we aimed to explore the potential of using computer-generated protein models to analyze mutations linked to AI. …”
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