Opportunities and Challenges Surrounding the Use of Wearable Sensor Bracelets for Infectious Disease Detection During Hajj: Qualitative Interview Study by Noha Maddah, Arpana Verma, John Ainsworth

“…Successful integration of wearables into the hajj surveillance system depends on several factors, including infrastructure, device features, suitable use cases, training, and a smooth organizational integration process. …”
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The Author's Reply by Mohamad Reza Golzar Feshalami, Mehraban Shahi, Nasrin Davari Dolatabadi

“…While our article aimed to provide a broad overview of the diagnostic complexities across various tumor types, we acknowledge that a deeper dive into individual tumor characteristics and diagnostic hurdles would have enriched the discussion.Moving forward, we recognize the importance of focusing research efforts on developing AI algorithms that can effectively differentiate between different types of odontogenic tumors based on their unique clinical and radiographic features. …”
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Comparing Grid Model Fitting Methodologies for Low-temperature Atmospheres: Markov Chain Monte Carlo versus Random Forest Retrieval by Anna Lueber, Adam J. Burgasser

“…RFR analysis is orders of magnitude faster after training. Both approaches yield mixed results when comparing fit parameters to expected values based on the primary (metallicity and surface gravity) or evolutionary models (temperature and radius). …”
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The Prosomia of the Eight Modes According to Dimitrie Cunțanu by Daniel MOCANU

“…The research reveals the presence of varied modal structures, including diatonic and chromatic modes, with a limited ambitus, a predominance of syllabic rhythm, and modal adaptations specific to the Transylvanian cultural-religious context. These features initially facilitated the integration of the prosomia into the musical repertoire but were later affected by the lack of continuity in the musical training of church singers and the preference for oral transmission of the hymns. …”
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A real-time AI tool for hybrid learning recommendation in education: Preliminary results by Chaman Verma

“…The study's findings can help students and institutional administration decide whether to switch to hybrid education based on pros, cons, and other recommended features.…”
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Anomaly Detection Dataset for Industrial Control Systems by Alireza Dehlaghi-Ghadim, Mahshid Helali Moghadam, Ali Balador, Hans Hansson

“…Although a few commonly used datasets may not reflect realistic ICS network data, lack necessary features for effective anomaly detection, or be outdated. …”
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Comparison of K-TIRADS, EU-TIRADS and ACR-TIRADS Guidelines for Malignancy Risk Determination of Thyroid Nodules by Eren Tobcu, Erdal Karavaş, Gülden Taşova Yılmaz, Bilgin Topçu

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Enhancing efficient deep learning models with multimodal, multi-teacher insights for medical image segmentation by Khondker Fariha Hossain, Sharif Amit Kamran, Joshua Ong, Alireza Tavakkoli

“…Additionally, introducing a novel training strategy optimizes knowledge transfer, ensuring the student model captures the intricate mapping of features essential for high-fidelity segmentation. …”
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A new approach for microbe-disease association prediction: incorporating representation learning of latent relationships by Shaopeng Liu, Wanlu Hu, Chun-Chun Wang, Linlin Zhuo, Xu Lu

“…To address the limitation of insufficient association information, we introduce Random K-Nearest Neighbors to uncover latent relationships, enhancing representation learning. During each training iteration, associations are expanded based on attention scores, and a multi-head attention mechanism integrates diverse features, enabling RKGATMDA to capture comprehensive interactions between microbes and diseases. …”
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Detecting Keratoconus in Adolescents with Anterior Segment Optical Coherence Tomography by Burcu Yücekul, Anika Förster, H. Burkhard Dick, Suphi Taneri

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Evaluation of Machine Learning Models for Sentiment Analysis in the South Sumatra Governor Election Using Data Balancing Techniques by Febriyanti Panjaitan, Win Ce, Hery Oktafiandi, Ghanim Kanugrahan, Yudi Ramdhani, Vito Hafizh Cahaya Putra

“…Data was collected via Twitter crawling (140 entries) and YouTube scraping (384 entries), and text features were extracted using CountVectorizer. The models were then evaluated on imbalanced and balanced datasets using accuracy, precision, recall, and F1-score. …”
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Unique Design of Learning Studio Spaces: A Case Study of The Department of Applied Design and Fine Art Kabale University. by Akatwijuka, Onesmus

“…The literature review of the study is based on what an art studio is, its importance, features and various types of art studios as well as the methods used in designing art studio space using the objectives of the study. …”
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Unique Design of Learning Studio Spaces: A Case Study of the Department of Applied Design and Fine Art Kabale University. by Akatwijuka, Onesmus

“…The literature review of the study is based on what an art studio is, its importance, features and various types of art studios as well as the methods used in designing art studio space using the objectives of the study. …”
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An Improved 2D Pose Estimation Algorithm for Extracting Phenotypic Parameters of Tomato Plants in Complex Backgrounds by Yawen Cheng, Ni Ren, Anqi Hu, Lingli Zhou, Chao Qi, Shuo Zhang, Qian Wu

“…However, segmentation-based methods are labor-intensive due to their requirement for extensive annotation during training, while object detection approaches exhibit limitations in capturing intricate structural features. …”
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Construction of ubiquitination-related risk model for predicting prognosis in lung adenocarcinoma by Dawei Sun, Xiaohong Duan, Ning Li, Ou Qiao, Yingjie Hou, Zihuan Ma, Siyao Liu, Yanhua Gong, Zichuan Liu

“…In conclusion, the ubiquitination-based signature might serve as a biomarker to help evaluate the prognosis, biological features, and appropriate treatment for patients with lung adenocarcinoma.…”
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Exploring non-medical prescribing for patients with mental illness: a scoping review by Bashayr A Alsaeed, Jason Hall, Richard N. Keers

“…Either nurse (44/63, 69.8%), pharmacist (16/63, 25.3%) or non-medical prescribing models featuring both professionals were exclusively studied (3/63, 4.7%). …”
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Piloting the Extension for Community Healthcare Outcomes (ECHO) Pediatric Oncology Telehealth Education Program in Western Kenya: Implementation Study by Tyler Severance, Gilbert Olbara, Festus Njuguna, Martha Kipng'etich, Sandra Lang'at, Maureen Kugo, Jesse Lemmen, Marjorie Treff, Patrick Loehrer, Terry Vik

“…MethodsSessions were freely available on Zoom twice monthly and featured an expert-led didactic topic followed by a learner-led, case-based discussion. …”
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The VMD-Informer-BiLSTM-EAA Hybrid Model for Predicting Zenith Tropospheric Delay by Zhengdao Yuan, Xu Lin, Yashi Xu, Ruiting Dai, Cong Yang, Lunwei Zhao, Yakun Han

“…Furthermore, our model reduces the training time by 8.2% compared to the Transformer model, demonstrating superior prediction performance and robustness in long-term ZTD forecasting. …”
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Anoikis in prostate cancer bone metastasis gene signatures and therapeutic implications by Wei Xia, Miao Ye, Bo Jiang, Gang Xu, Guancheng Xiao, Qingming Zeng, Ruohui Huang

“…Specific anoikis-related genes (ARGs) were identified, and Random Survival Forest analysis and multivariate Cox regression were employed to develop anoikis-linked features. The ‘clustanoikisProfilanoikis’ and ‘GSEA’ packages were used to explore potential ARG-related pathways.ResultsAnalyzing 553 samples from TCGA, 231 from MSKCC, 94 from GSE70769, and single-cell data from 6 prostate cancer patients (GSE137829), we constructed a prognostic model based on 9 ARGs. …”
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Multiomics insights into BMI-related intratumoral microbiota in gastric cancer by Kang Liu, Zhengchen Jiang, Zhengchen Jiang, Yubo Ma, Ruihong Xia, Yingsong Zheng, Kailai Yin, Chuhong Pang, Li Yuan, Li Yuan, Xiangdong Cheng, Xiangdong Cheng, Zhuo Liu, Bo Zhang, Shi Wang

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