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

“…Deploying vertical use cases on shared resources is the main motivation for network slicing. Recently, network function (NF) sharing has been proposed in the literature in order to further exploit unused resources and lower the costs for network operators. …”
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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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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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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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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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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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Erectile Function and Sexual Activity Are Declining in the Younger Generation: Results from a National Survey in Japan by Akira Tsujimura, Shinichiro Fukuhara, Koji Chiba, Tsuyoshi Yoshizawa, Hikaru Tomoe, Masato Shirai, Kazunori Kimura, Eiji Kikuchi, Eri Maeda, Yoshikazu Sato, Atsushi Nagai, Koichi Nagao, Haruaki Sasaki

“…The Japanese Society for Sexual Medicine conducted a nationwide survey on the actual status of sexual function targeting men over 20 years old in Japan using validated questionnaires commonly used in clinical practice. …”

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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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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A lightweight neural attention-based model for service chatbots by Sinarwati Mohamad Suhaili, Mohamad Nazim Jambli

“…This study introduces a lightweight neural attention mechanism designed to enhance the scalability of service chatbots by integrating a scalar function into the existing attention score computation. …”
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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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A malware detection method with function parameters encoding and function dependency modeling by Ronghao Hou, Dongjie Liu, Xiaobo Jin, Jian Weng, Guanggang Geng

“…Additionally, we design a deep neural network to capture functional dependencies, enabling the generation of robust semantic representations of function sequences. …”
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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

“…Abstract Background Gastric cancer liver metastasis (GCLM) patients usually accompany by abnormal serum liver function tests (LFTs) more or less; however, the prognostic value of LFTs is not fully understood. …”
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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

“…Three methods to generate functional categories were labeled as: Method I, percentile based on proportional distribution; Method II, percentile based on change score distribution; and Method III, functional staging categories based on Rasch person strata. …”
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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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