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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Direct Conditional Score Modeling for Accelerated MRI Reconstruction by Hongki Lim

“…This paper presents a novel approach called Direct Conditional Score (DCS) modeling that directly models the conditional score function, eliminating the need for separate likelihood terms. …”
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Generating diversity and securing completeness in algorithmic retrosynthesis by Florian Mrugalla, Christopher Franz, Yannic Alber, Georg Mogk, Martín Villalba, Thomas Mrziglod, Kevin Schewior

“…In order to generate a diverse set of synthesis plans for chemists to select from, we capture the concept of diversity in a novel chemical diversity score (CDS). …”
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High survivorship and excellent functional outcome in third‐generation patellofemoral arthroplasty by Mustafa Hariri, Hannah Schwab, Kevin‐Arno Koch, Paul Mick, Timo Nees, Johannes Weishorn, Tilman Walker, Tobias Reiner

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SliceScore: A Network Function Sharing Aware and Slice-Oriented DDoS Filtering Approach by Omer Zekvan Yilmaz, Kubra Kalkan, Fatih Alagoz

“…Network slicing presents new opportunities for cost-effective implementations of next-generation communication networks that target diverse service requirements. …”
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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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Narrowing the gap between machine learning scoring functions and free energy perturbation using augmented data by Ísak Valsson, Matthew T. Warren, Charlotte M. Deane, Aniket Magarkar, Garrett M. Morris, Philip C. Biggin

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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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Prognostic value of the Naples Prognostic Score in adult chronic obstructive pulmonary disease: NHANES 2005–2018 by Yue Kang, Yue Kang, Yingjian Tan, Yongxin Tie, Yujing Zhang, Chenyu Cui, Yuanyuan Zhao

“…BackgroundPrevious studies have demonstrated that the Naples Prognostic Score (NPS) provides strategic direction in the prognosis of malignant illness. …”
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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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Second-generation long-acting injectable antipsychotics in schizophrenia: patient functioning and quality of life by Montemagni C, Frieri T, Rocca P

“…Meaningful differences have been observed between SGA-LAIs in the onset of their clinical efficacy and in the relationships between symptoms and functioning scores. Moreover, head-to-head studies comparing the effects of SGA-LAIs on classical measures of psychopathology and functioning are available mainly on risperidone LAI, while those comparing olanzapine LAI with other SGA-LAIs are still lacking. …”
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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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The function of ASR-generated live transcription in simultaneous interpreting: trainee interpreters’ perceptions from post-task interviews by Xiaoman Wang, Binhua Wang, Lu Yuan

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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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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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Protocol to analyze deep-learning-predicted functional scores for noncoding de novo variants and their correlation with complex brain traits by Enrique Mondragon-Estrada, Sarah U. Morton

“…Here, we present a protocol for prioritizing variants by generating deep-learning-predicted functional scores and relating them with brain traits. …”
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The analysis of generative adversarial network in sports education based on deep learning by Eerdenisuyila Eerdenisuyila, Hongming Li, Wei Chen

“…Secondly, GAN is employed to construct a model for generating evaluation texts, encompassing the construction of a generator and discriminator, along with the introduction of a reward function. …”
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Incorporation of liver chemistry score in predicting survival of liver‐involved advanced gastric cancer patients who received palliative chemotherapy by Ying Feng, Cheng Zhang, Zhijun Wu, Hui Xu, Xiaopeng Zhang, Chong Feng, Jingyi Shao, Minmin Xie, Yahui Yang, Yi Zhang, Tai Ma

“…Cutoff value of the score was determined by restricted cubic spline. …”
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Nutritional risk, functional decline, and symptom burden in lung cancer: a study based on PG-SGA scores and biochemical data by Shasha Shen, Shasha Shen, Shiyun Xing, Shiyun Xing, Tingting Shen, Li Niu, Xiaojing Tian, Xiaojing Tian, Hu Ma, Hu Ma, Xiaoxia Gou, Xiaoxia Gou

“…Demographic characteristics, cancer staging, and treatment details were collected. Nutritional and functional status were assessed using the Patient-Generated Subjective Global Assessment (PG-SGA), Nutritional Risk Screening 2002 (NRS-2002), and Karnofsky Performance Status (KPS) scores. …”
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