Hierarchical Contrastive Representation for Accurate Evaluation of Rehabilitation Exercises via Multi-View Skeletal Representations by Zhejun Kuang, Jingrui Wang, Dawen Sun, Jian Zhao, Lijuan Shi, Yusheng Zhu

“…In addition, we introduce a novel contrastive loss function specifically designed for regression tasks. …”
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Rethreading the needle: A novel molecular index of soil health (MISH) using microbial functional genes to predict soil health management. by Heather L Deel, Daniel K Manter, Jennifer M Moore

“…Functional data were used as predictors in eXtreme Gradient Boosting (XGBoost), a powerful machine learning algorithm, and enzymes important to soil health indicators were compiled into a Molecular Index of Soil Health (MISH). …”
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HPRS: hierarchical potential-based reward shaping from task specifications by Luigi Berducci, Edgar A. Aguilar, Dejan Ničković, Radu Grosu

“…The automatic synthesis of policies for robotics systems through reinforcement learning relies upon, and is intimately guided by, a reward signal. …”
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A Blind Spot? Screening for Mild Intellectual Disability and Borderline Intellectual Functioning in Admitted Psychiatric Patients: Prevalence and Associations with Coercive Measure... by Jeanet Grietje Nieuwenhuis, Eric Onno Noorthoorn, Henk Llewellyn Inge Nijman, Paul Naarding, Cornelis Lambert Mulder

“…<h4>Conclusions</h4>This study suggests that functioning on the level of MID/BIF is very prevalent in admitted psychiatric patients and requires specific attention from mental health care staff.…”
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Automated Class Imbalance Learning via Few-Shot Multi-Objective Bayesian Optimization With Deep Kernel Gaussian Processes by Zhaoyang Wang, Shuo Wang, Damien Ernst, Chenguang Xiao

“…Automated Class Imbalance Learning (AutoCIL) is an emerging paradigm that leverages Combined Algorithm Selection and Hyperparameter Optimization (CASH) to automate the configuration of resampling strategies and classifiers for imbalanced classification tasks. …”
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Advancing Early Detection of Major Depressive Disorder Using Multisite Functional Magnetic Resonance Imaging Data: Comparative Analysis of AI Models by Masab Mansoor, Kashif Ansari

“…Advances in neuroimaging and machine learning (ML) offer the potential for objective and accurate early detection. …”
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ICT Adoption in Education: Unveiling Emergency Remote Teaching Challenges for Students with Functional Diversity Through Topic Identification in Modern Greek Data by Katia Lida Kermanidis, Spyridon Tzimiris, Stefanos Nikiforos, Maria Nefeli Nikiforos, Despoina Mouratidis

“…This study explores topic identification using text analysis techniques in Modern Greek interviews with parents of students with functional diversity during Emergency Remote Teaching. …”
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Knowledge-Assisted Actor Critic Proximal Policy Optimization-Based Service Function Chain Reconfiguration Algorithm for 6G IoT Scenario by Bei Liu, Shuting Long, Xin Su

“…Future 6G networks will inherit and develop Network Function Virtualization (NFV) architecture. With the NFV-enabled network architecture, it becomes possible to establish different virtual networks within the same infrastructure, create different Virtual Network Functions (VNFs) in different virtual networks, and form Service Function Chains (SFCs) that meet different service requirements through the orderly combination of VNFs. …”
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The supportive nature of Classroom Codeswitching functions in a Mexican EFL higher education language center: Does Codeswitching remain inadequately misunderstood? by Tatiana E. Galván De la Fuente, Jesús E. Fong Flores

“…Key words: Code-switching, only in English, code- switching functions, Conversation Analysis Approach, English as a foreign language…”
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Evaluating Cognitive Function and Brain Activity Patterns via Blood Oxygen Level-Dependent Transformer in N-Back Working Memory Tasks by Zhenming Zhang, Yaojing Chen, Aidong Men, Zhuqing Jiang

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Health‐Related Quality of Life and Everyday Functioning in the Flood‐Affected Population in Germany ‐ A Case Study of the 2021 Floods in West Germany by Nivedita Sairam, Anna Buch, Marie‐Luise Zenker, Lisa Dillenardt, Michaela Coenen, Annegret H. Thieken, Caroline Jung‐Sievers

“…By applying an incremental linear regression model and Machine Learning models, we infer that health‐related QoL and functioning are strongly negatively related to the psychological burden from those being affected by the flooding. …”
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Functional Asymmetries and Force Efficiency in Elite Junior Badminton: A Controlled Trial Using Hop Test Metrics and Neuromuscular Adaption Indices by Mariola Gepfert, Artur Gołaś, Adam Maszczyk, Kajetan Ornowski, Przemysław Pietraszewski

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Prediction of ball-on-plate friction and wear by ANN with data-driven optimization by Alexander Kovalev, Yu Tian, Yonggang Meng

“…Abstract For training artificial neural network (ANN), big data either generated by machine or measured from experiments are used as input to “learn” the unspecified functions defining the ANN. …”
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Association between the COVID-19 pandemic and cardiopulmonary function in acute coronary syndrome patients without SARS-CoV-2 infection by Xingbo Mu, Sicheng Ning, Quanyu Zhang, Yi Zhang, Shengyi Wang, Jian Zhang, Yanchun Liang, Yaling Han

“…The primary CPET parameter, peak oxygen uptake per kilogram (peak VO₂/kg), was significantly lower in the during-pandemic group (15.07 ± 4.09 ml/min/kg) compared to the pre-pandemic group (15.56 ± 3.74 ml/min/kg) and the post-pandemic group (15.69 ± 4.04 ml/min/kg). Machine learning and multivariate logistic regression were used to select key variables related to cardiopulmonary function. …”
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Ensemble empirical mode decomposition-based preprocessing method with Multi-LSTM for time series forecasting: a case study for hog prices by Lianlian Fu, Xinsheng Ding, Yuehui Ding

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ZnO-SnO2/WO3-x heterojunction artificial synapse for realization and integration of multiple biological cognitive functions by Pengfei Sun, Ruidong Li, Haotian Meng, Tao Sun, Song Gao, Yang Li

“…In current memristor-based neuromorphic computing research, several studies face the challenge of realizing only a single function at a time or having isolated functions. This limitation is particularly evident when simulating biological cognition, as the overall synergy between multiple cognitive functions is difficult to represent. …”
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What is the role of artificial intelligence in general surgery? by Seung Min Baik, Ryung-Ah Lee

“…The capabilities of artificial intelligence (AI) have recently surged, largely due to advancements in deep learning inspired by the structure and function of the neural networks of the human brain. …”
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Posts Quality Prediction for StackOverflow Website by Jiawei Hu, Bo Yang

“…The development of the computer industry is closely linked to various question-and-answer websites, whose primary function is to discover and solve problems encountered by users. …”
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Identifying trade-offs and synergies among land use functions using an XGBoost-SHAP model: A case study of Kunming, China by Kun Li, Junsan Zhao, Yongping Li, Yilin Lin

“…The interaction between ecological function (EF) and production function (PF), as well as between living function (LF) and PF, showed a convex function relationship with evident boundary effects. …”
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Effectiveness of Home-Based Stretching and Strengthening Training for Improving Flexibility, Strength, and Physical Function in Older Adults with Leg Tightness and/or Suspected Sar... by Pornpimol Muanjai, Sirawee Chaovalit, Nongnuch Luangpon, Wirasinee Srijunto, Pongrung Chancharoen, Juntip Namsawang, Piyapong Prasertsri, Sigitas Kamandulis, Tomas Venckunas, Orachorn Boonla

“…Background/Objectives: The aim of the present study was to assess the effectiveness of flexibility or strengthening exercises to improve flexibility, strength, muscle architecture, and functional performance in older adults with leg tightness and/or suspected sarcopenia. …”
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