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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Improving the core functions of primary care in a Ugandan rural district by Innocent K. Besigye, Robert J. Mash

“…Community dialogues as form of community engagement were selected as an intervention to improve the core primary care functions. Conclusion: The PCAT can generate findings to guide the development of interventions at the facility and district level to potentially improve the core functions of primary care. …”
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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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Clinical functioning information tool – coronavirus disease 2019 (ClinFIT COVID-19): psychometric evaluation and development of an interval-scaled functioning score across the care... by Masahiko Mukaino, Catarina Aguiar Branco, Alia Alghwiri, Sonia Amato, Antonios Kontaxakis, Mihai Berteanu, Hüma Bölük Şenlikci, Pinar Borman, Salmane Diouane, Maryam Fourtassi, Francesca Gimigliano, Abderrazak Hajjioui, Xiaolei Hu, Sinforian Kambou, Cho-I Lin, Mohamed I. Mabrouk, Evanthia Mitsiokapa, Remus Iulian Nica, Christina-Anastasia Rapidi, Gabriella Serlenga, Arianna Silvestri, Sinikka Tarvonen-Schröder, Clara Ursescu, Arja Viinanen, Panagiotis Vorniotakis, Melissa Selb

“…Objective: to report on the development and global testing of the COVID-19 version of the International Classification of Functioning, Disability and Health-based Clinical Functioning Information Tool called “ClinFIT COVID-19” to collect functioning data of rehabilitation patients across the care continuum to establish an interval-scaled functioning score. …”
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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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A comparison of three methods in categorizing functional status to predict hospital readmission across post-acute care. by Chih-Ying Li, Amol Karmarkar, Yong-Fang Kuo, Hemalkumar B Mehta, Trudy Mallinson, Allen Haas, Amit Kumar, Kenneth J Ottenbacher

“…<h4>Background</h4>Methods used to categorize functional status to predict health outcomes across post-acute care settings vary significantly.…”
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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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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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PromarkerD Versus Standard of Care Biochemical Measures for Assessing Future Renal Function Decline in Type 2 Diabetes by Kirsten E. Peters, Isabella A. Joubert, Scott D. Bringans, Wendy A. Davis, Richard J. Lipscombe, Timothy M. E. Davis

“…<b>Conclusions:</b> PromarkerD more accurately identifies adults with T2D at risk of kidney function decline than current usual care biochemical tests.…”
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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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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

“…In 15 adult patients, aged 35–55 years, moderate WOMAC scores for pain, stiffness, and function of hip and knee joints and low 6MWT scores were reported. …”
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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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Predicting contrast sensitivity functions with digital twins by Yukai Zhao, Luis Andres Lesmes, Michael Dorr, Zhong-Lin Lu

“…Abstract We developed and validated digital twins (DTs) for contrast sensitivity function (CSF) across 12 prediction tasks using a data-driven, generative model approach based on a hierarchical Bayesian model (HBM). …”
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Recent progress on functional hydrogels as biomaterial for biomedicine by Hepeng Yang, Taotao Zeng, Tao Jiang, Qin Wei, Seyed Dariush Taherzade, Xiaolan Peng, Junping Zhu, Zeyan Zhou

“…In the future, combined with 3D printing, microfluidic technology and functional design, hydrogels are expected to play a more important role in personalized medical care and complex tissue regeneration, becoming the next generation of core biomaterials.…”
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Functional amyloid formation within mammalian tissue. by Douglas M Fowler, Atanas V Koulov, Christelle Alory-Jost, Michael S Marks, William E Balch, Jeffery W Kelly

“…We report the discovery of an unprecedented functional mammalian amyloid structure generated by the protein Pmel17. …”
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Analysis of the bronchoalveolar lavage fluid microbial flora in COPD patients at different lung function during acute exacerbation by Kawsar Bahetjan, Yu-Xia, Shijun Lin, Nuerziba Aili, Haiyan Yang, Shijun Du

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An approach to nonparametric inference on the causal dose–response function by Hudson Aaron, Geng Elvin H., Odeny Thomas A., Bukusi Elizabeth A., Petersen Maya L., van der Laan Mark J.

“…It is often preferable to instead use nonparametric methods for inference, which only make mild assumptions about the data-generating mechanism. We propose a nonparametric test of the null hypothesis that the dose-response function is equal to a constant function. …”
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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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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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