Impact of ITH on PRAD patients and feasibility analysis of the positive correlation gene MYLK2 applied to PRAD treatment by Chuanyu Ma, Chuanyu Ma, Guandu Li, Xiaohan Song, Xiaochen Qi, Tao Jiang

“…The results of the CMap data suggested that NU.1025 was the most likely drug to treat PRAD. The results of our machine learning model constructed based on ITH-score suggest that the random survival forest (RSF) model performs well in both the training and validation sets and has the potential to be used as a clinical prediction model. …”
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Sustainable digital education technologies: an analysis of selection processes in European universities by Özge Okur, Morris Huang, Lorenzo Angeli, Haiko van der Voort, Yilin Huang

“…Digital education Technologies (DETs) have become integral to higher education, reshaping how institutions deliver learning and manage resources. However, despite the widespread adoption of DETs, there has been limited focus on the sustainability of these technologies. …”
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Characterization of IN738LC using in situ nanoindentation and crystal plasticity modeling by Amirhosein Mozafari, Bolin Fu, Darshan Chalapathi, Hamidreza Abdolvand

“…The analysis is performed on both as-received and heat-treated specimens to characterize their anisotropic mechanical responses. …”
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Bridging human emotion processing and deep neural networks: insights from representational similarity analysis by Lu Nie, Ke Chen, Yue Li, Yonghong Tian, Yixuan Ku

“…However, existing research often treats these systems independently, limiting opportunities for interaction and hindering the development of more advanced models. …”
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Gaussian random fields as an abstract representation of patient metadata for multimodal medical image segmentation by Bill Cassidy, Christian McBride, Connah Kendrick, Neil D. Reeves, Joseph M. Pappachan, Shaghayegh Raad, Moi Hoon Yap

“…Chronic wounds are difficult and costly to treat, and have become a serious burden on health care systems worldwide. …”
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A Multi-Scale Hybrid Scene Geometric Similarity Measurement Method Using Heterogeneous Graph Neural Network by Chongya Gong, Tinghua Ai, Shiyu Chen, Tianyuan Xiao, Huafei Yu

“…The traditional solution to this issue is to treat points as projections of polylines and polylines as projections of polygons. …”
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Improving breast cancer survival analysis through competition-based multidimensional modeling. by Erhan Bilal, Janusz Dutkowski, Justin Guinney, In Sock Jang, Benjamin A Logsdon, Gaurav Pandey, Benjamin A Sauerwine, Yishai Shimoni, Hans Kristian Moen Vollan, Brigham H Mecham, Oscar M Rueda, Jorg Tost, Christina Curtis, Mariano J Alvarez, Vessela N Kristensen, Samuel Aparicio, Anne-Lise Børresen-Dale, Carlos Caldas, Andrea Califano, Stephen H Friend, Trey Ideker, Eric E Schadt, Gustavo A Stolovitzky, Adam A Margolin

“…As with most cancers, it is a heterogeneous disease and different breast cancer subtypes are treated differently. Understanding the difference in prognosis for breast cancer based on its molecular and phenotypic features is one avenue for improving treatment by matching the proper treatment with molecular subtypes of the disease. …”
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Neural Networks in Forecasting Disease Dynamics by A. G. Hasanov, D. G. Shaybakov, S. V. Zhernakov, A. M. Men’shikov, F. F. Badretdinova, I. F. Sufiyarov, J. R. Sagadatova

“…The best convergence of the network learning process is provided by the quasi-Newton and conjugated gradient algorithms. …”
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COMPASS: Computational mapping of patient-therapist alliance strategies with language modeling by Baihan Lin, Djallel Bouneffouf, Yulia Landa, Rachel Jespersen, Cheryl Corcoran, Guillermo Cecchi

“…Analyzing a dataset of over 950 sessions spanning diverse psychiatric conditions -- including anxiety (N = 498), depression (N = 377), schizophrenia (N = 71), and suicidal tendencies (N = 12) -- collected between 1970 and 2012, we demonstrate the effectiveness of our method in providing fine-grained mapping of patient-therapist alignment trajectories, offering interpretable insights for clinical practice, and identifying emerging patterns related to the condition being treated. By employing various deep learning-based topic modeling techniques in combination with prompting generative language models, we analyze the topical characteristics of different psychiatric conditions and how these topics evolve during each turn of the conversation. …”
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Artificial intelligence-powered prediction of AIM-2 inflammasome sequences using transformers and graph attention networks in periodontal inflammation by Pradeep Kumar Yadalam, Deepavalli Arumuganainar, Prabhu Manickam Natarajan, Carlos M. Ardila

“…DeepBio, a web service for developing deep-learning architectures, analyzed these sequences. Peptide sequence prediction methods were evaluated using a transformer, RNN-CNN, and GAT models. …”
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Assessing the interactions between time series signals using weighted horizontal visibility graphs by Arya Teymourlouei, James Reggia, Rodolphe Gentili

“…Individual timepoints are treated as nodes, and edges are formed by some criterion of visibility between data points. …”
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DWS-YOLO: A Lightweight Detector for Blood Cell Detection by Yihai Mao, Hongyi Zhang, Wanqing Wu, Xingen Gao, Zhibin Lin, Juqiang Lin

“…Peripheral blood cell detection is an essential component of medical practice and is used to diagnose and treat diseases, as well as to monitor the progress of therapies. …”
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Evaluation of the Antibacterial Potential of Two Short Linear Peptides YI12 and FK13 against Multidrug-Resistant Bacteria by Jingyi Sun, Pan Kong, Jingru Shi, Yuan Liu

“…In this study, we investigated the antibacterial capability and mechanisms of two machine learning-driven linear peptide compounds termed YI12 and FK13. …”
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Valproate pregnancy prevention scheme: what are the barriers to enrolling patients and how do we meet them? by Graham Mackay, Musa Mamman Watila, Alistair James, Karen Milne

“…Patients not meeting PPP lacked capacity, most commonly with severe learning difficulties. Women treated for psychiatric purposes were less likely to meet PPP than other indications.Conclusions A significant proportion of women continue valproate treatment without meeting the PPP requirement. …”
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Relationship between mindfulness, test anxiety, and academic performance among nursing students by Ali Asghar Hayat, Rahmatollah Soltani, Tayebeh Bahmani Tazangi, Fereshteh Baradaranfar, Azam Zareh, Azam Norouzi, Mohammad Hasan Keshavarzi

“…BACKGROUND: The content of mindfulness-based social-emotional learning (MBSEL) concentrates on conscious attention to thoughts, emotions, and bodily senses, which reduces test stress and anxiety and also leads to an increase in students’ performance regarding stress management and improving responsible behaviors. …”
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Behavioural alterations induced by chronic exposure to 10 nm silicon dioxide nanoparticles by Bashir Jarrar, Amin Al‐Doaiss, Ali Shati, Mohammed Al‐Kahtani, Qais Jarrar

“…The findings may suggest that silica NPs are anxiogenic and could aggravate depression affecting memory, learning, overall activity and exploratory behaviour. …”
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Competence Profiles of Vocational Teachers in Sweden by Sofia Antera, Staffan Nilsson

“…Nevertheless, teacher training programmes treat them as a homogeneous group. This study aims to identify competence profiles among vocational teachers in Sweden and analyse background factors associated with these competence profiles. …”
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Working with Joanne Elphinston Movement Systems® - physiotherapists’ experiences in primary health care. A focus group study by Monica Johansson, Gun Rembeck, Lena Nordeman

“…The opportunity for learning and reflecting in the FGDs was appreciated by the PTs. …”
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Application of Metaheuristic Algorithms and ANN Model for Univariate Water Level Forecasting by Sarah J. Mohammed, Salah L. Zubaidi, Nadhir Al-Ansari, Hussein Mohammed Ridha, Anmar Dulaimi, Ruqayah Al-Khafaji

“…With the rapid development of machine learning (ML) models, the artificial neural network (ANN) is being increasingly applied for forecasting hydrological processes. …”
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Evaluation of antiarrhythmia drug through QSPR modeling and multi criteria decision analysis by Shereen Iqbal, Hifza Iqbal, Muhammad Akhtar Tarar, Muhammad Farhan Hanif, Osman Abubakar Fiidow

“…We focused on drugs used to treat several arrhythmia conditions, including tachycardias, bradycardias, and premature beats. …”
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