Recurrent Thymic Carcinoma Treated With Median Sternotomy, Innominate Vein Replacement for Superior Vena Cava, and Iodide Implantation: A Case Report and Review of the Literature by Zhong‐zheng Chen, Wen‐dong Qu, Xing‐shu Zhang, Yong‐xiang Song

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A predictive model for functional cure in chronic HBV patients treated with pegylated interferon alpha: a comparative study of multiple algorithms based on clinical data by Ya-mei Ye, Yong Lin, Fang Sun, Wen-yan Yang, Lina Zhou, Chun Lin, Chen Pan

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Vocal Learning Versus Speech Evolution: Untangling a False Equivalence by Adriano R. Lameira

“…By reconsidering the evolutionary processes that led to speech, this paper advocates for a shift in focus toward the hominid biotope, body, brain, and behavior, rather than treating speech as the pinnacle endpoint of vocal learning evolution and drawing misleading parallels with far‐related vocal learners.…”
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Machine Learning in Neuroimaging: A New Approach to Understand Acupuncture for Neuroplasticity by Tao Yin, Peihong Ma, Zilei Tian, Kunnan Xie, Zhaoxuan He, Ruirui Sun, Fang Zeng

“…The effects of acupuncture facilitating neural plasticity for treating diseases have been identified by clinical and experimental studies. …”
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Multimodal machine learning for risk-stratified bundled payments in spinal surgery by Kyle A. Mani, Samuel N. Goldman, Thomas Scharfenberger, Vishal Shankar, Manish Bhatta, Rafael De la Garza Ramos, Mitchell S. Fourman, Ananth S. Eleswarapu

“…We develop the first preoperative risk-stratified multimodal machine learning model that integrates structured clinical data and unstructured surgeon notes using natural language processing to predict financial parameters. …”
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Telemedicine data secure sharing scheme based on heterogeneous federated learning by Nansen Wang, Jianing Zhang, Ju Huang, Wei Ou, Wenbao Han, Qionglu Zhang

“…Telemedicine can provide timely emergency response in the case of environmental or biological hazards, and the patient’s medical privacy data generated in this process can also accelerate the establishment of models for preventing and treating infectious diseases. However, the reuse process of telemedicine user privacy data based on federated learning also faces significant challenges. …”
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Machine learning tools for deciphering the regulatory logic of enhancers in health and disease by Spyros Foutadakis, Vasiliki Bourika, Ioanna Styliara, Panagiotis Koufargyris, Asimina Safarika, Eleni Karakike

“…Enhancer identification and characterization at the genome-wide scale rely on their structural characteristics, such as chromatin accessibility, binding of transcription factors and cofactors, activating histone modifications, 3D interactions with other regulatory elements, as well as functional characteristics measured by massively parallel reporter assays and sequence conservation approaches. Recently, machine learning approaches and particularly deep learning models (Enformer, BPNet, DeepSTARR, etc.) allow the prediction of enhancers, the impact of variants on their activity and the inference of transcription factor binding sites, leading, among others, to the construction of the first completely synthetic enhancers. …”
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FEATURE SELECTION AND CLASSIFICATION OF LEUKEMIC CELLS USING IOT AND MACHINE LEARNING by K. R.Vineetha, Kovvuri N. Bhargavi, G. L. Narasamba Vanguri, Jenifer Mahilraj, V. Kannan

“…As a novel strategy for managing massive volumes of biological and medical samples, the suggested method will be an invaluable tool for doctors treating leukemia patients. The system's ability to process data from various Internet of Things (IoT) sources should aid its ability to learn and adapt to real-world clinical settings. …”
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Deep learning algorithm for identifying osteopenia/osteoporosis using cervical radiography by Koji Tamai, Keiho Imanishi, Masaki Terakawa, Masato Uematsu, Minori Kato, Hiromitsu Toyoda, Akinobu Suzuki, Shinji Takahashi, Akito Yabu, Yuta Sawada, Masayoshi Iwamae, Yuto Kobayashi, Yuki Okamura, Hiroshi Taniwaki, Yuki Kinoshita, Masatoshi Hoshino, Hitoshi Tabuchi, Hiroaki Nakamura, Hidetomi Terai

“…To prevent such fractures in patients with cervical disease, treating osteoporosis is an important strategy. This study aimed to validate the diagnostic yield of a deep learning algorithm for detecting osteopenia/osteoporosis using cervical radiography and compare its diagnostic accuracy with that of spine surgeons. …”
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Drug Repurposing for Rare Orphan Diseases Using Machine Learning Techniques by Rajesh Manicavasaga, Prabin B Lamichhane, Prajjwal Kandel, Douglas A. Talbert

“…Drug repurposing to treat both common and rare diseases is becoming an attractive option because it involves using already approved drugs. …”
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Federated learning with integrated attention multiscale model for brain tumor segmentation by Sherly Alphonse, Fidal Mathew, K. Dhanush, V. Dinesh

“…All the data are held securely within their institution. A Reinforcement Learning-based Federated Averaging (RL-FedAvg) model is proposed that fuses the Federated Averaging (FedAvg) model with Reinforcement Learning (RL). …”
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Machine learning to improve predictive performance of prehospital early warning scores by Logan Morgan Ward, Tim Alex Lindskou, Mads Lause Mogensen, Erika Frischknecht Christensen, Morten Breinholt Søvsø

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Machine Learning Methods for Evaluation of Technical Factors of Spraying in Permanent Plantations by Vjekoslav Tadić, Dorijan Radočaj, Mladen Jurišić

“…The accuracy of the machine learning model for the prediction of the treated surface showed a satisfactory accuracy for most properties (R² = 0.694–0.984), except for the estimation of the droplet diameter for an axial sprayer (R² = 0.437–0.503).…”
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Deep brain stimulation on cognition in epilepsy: A concentration on learning and memory by Beibei Shen, Yi Shi, Yanlu Fu, Yina Cao, Yi Wang, Jiajia Fang

“…More than 60 % of epilepsy patients may experience impairment in learning, memory, attention, and executive control. …”
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Marketing Students Take on University Library as Client in Experiential Learning Assignment by Mary Kelly, Matthew Schirano, Lisa Thornell

“…In this collaboration between university librarians and faculty, advertising students were given the unique opportunity to treat the university library as a client in a rebranding initiative. …”
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Primary Cardiac Lymphoma: Lessons Learned from a Long Survivor by Baljit Singh, Randy Ip, Ahmed Ibrahim Al-Rajjal, Zyad Kafri, Ayad Al-Katib, Tarik Hadid

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FOSTERING TOLERANCE AMONG STUDENTS IN THE PROCESS OF LEARNING A FOREIGN LANGUAGE by Gaparova G. I.

“…As a result, recommendations will be given on education, implementation and respect for tolerance in the learning process. The integration of cultural aspects into the educational process ensures that students behave in various public places and treat society with respect, while remaining cultured and tolerant in life in a globalized society.…”
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Application of multimodal deep learning in the auxiliary diagnosis and treatment of dermatological diseases by Ting Li, Bowei Li, Yuying Jia, Lian Duan, Ping Sun, Xiaozhen Li, Xiaodong Yang, Hong Cai

“…This review aimed to provide a comprehensive overview of multimodal data and deep learning methods that could help dermatologists diagnose and treat skin diseases.…”
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Quantitative Assessment of Data Volume Requirements for Reliable Machine Learning Analysis by Xukuan Xu, Jinghou Bi, Michael Moeckel, Hajo Wiemer, Steffen Ihlenfeldt

“…Both aspects are quantitatively addressed in this work. The first one is treated as part of dataset diagnostics, which includes the analysis of learning curves, the quantification of confidence intervals (CI) during model evaluation and further dataset metrics. …”
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The Effect of Image-Schema-Based Instruction on Learning/ Acquiring Polysemous Prepositions by Hasna Lamis BOUCHENEK

“…The many meanings of these words have always been pedagogically treated in a piecemeal fashion and as largely arbitrary. …”
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