Systematic review on the use of patient-held health records in low-income and middle-income countries by Sheila Greenfield, Claire Humphries, Semira Manaseki-Holland, Panniyammakal Jeemon, Anna Lavis, Linju Joseph, Dona Boban, Prinu Jose

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Multi-module UNet++ for colon cancer histopathological image segmentation by Qi Liu, Zhenfeng Zhao, Yingbo Wu, Siqi Wu, Yutong He, Haibin Wang, Shenwen Wang

“…With the continuous advancement of deep learning techniques—particularly encoder-decoder architectures—and the emergence of various high-performance functional modules, multi module collaborative fusion has become an effective approach to enhance segmentation performance. …”
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PORTFOLIO AS AN INSTRUMENTAL MEANS OF SELF-EVALUATION OF EDUCATIONAL AND PROFESSIONAL ACHIEVEMENTS OF STUDENTS by E. F. Zeer, L. N. Stepanova

“…It is highlighted that functionally the portfolio can serve as the tool of both the analysis of educational and professional achievements of students, and forecasting of their professional future. …”
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FA-FENet: A Feature Attention Front-End Network Based on a Lightweight CNN Architecture for Recognizing Abnormal Underwater Illegal Fishing Behavior by Xiang-Rui Huang, Liang-Bi Chen

“…The front end of the backbone network can be directly replaced to improve the learning efficiency and performance of the proposed network. …”
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Hierarchical multi step Gray Wolf optimization algorithm for energy systems optimization by Idriss Dagal, AL-Wesabi Ibrahim, Ambe Harrison, Wulfran Fendzi Mbasso, Ahmad O. Hourani, Ievgen Zaitsev

“…The performance of HMS-GWO is evaluated on a benchmark suite of 23 functions, showing a 99% accuracy, with a computational time of 3 s and a stability score of 0.9. …”
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SPARQ: Efficient Entanglement Distribution and Routing in Space–Air–Ground Quantum Networks by Mohamed Shaban, Muhammad Ismail, Walid Saad

“…Moreover, in contrast to the prior art that assumes homogeneous nodes, SPARQ encompasses heterogeneous nodes with different functionalities further complicates the entanglement distribution. …”
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Toward Adaptive Unsupervised and Blind Image Forgery Localization with ViT-VAE and a Gaussian Mixture Model by Haichang Yin, KinTak U, Jing Wang, Wuyue Ma

“…Most image forgery localization methods rely on supervised learning, requiring large labeled datasets for training. …”
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Boosting feature selection efficiency with IMVO: Integrating MVO and mutation-based local search algorithms by Maryam Askari, Farid Khoshalhan, Hodjat Hamidi

“…Feature selection is crucial in machine learning and data mining, significantly impacting model performance and efficiency by reducing dimensionality, mitigating overfitting, and improving interpretability. …”
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RootTracer: An intuitive solution for root image annotation by Maichol Dadi, Annalisa Franco, Giuseppe Sangiorgi, Silvio Salvi, Alessandra Lumini

“…In this study, we introduce “RootTracer” a software tool that offers a variety of functionalities. RootTracer enables users to quickly and easily create RSML files that capture the structure of a root system by inputting the image to be analyzed and marking or modifying key points within the image. …”
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Exploration of the shared gene signatures and molecular mechanisms between cardioembolic stroke and ischemic stroke by Xuan Wang, Xuan Wang, Xueyuan Liu, Xueyuan Liu

“…Protein-protein interaction (PPI) network and topology analyses were conducted to identify the core shared genes. Three machine learning algorithms were employed to detect biomarkers from the core shared genes, and the diagnostic value of the hub genes was evaluated by establishing a predictive nomogram. …”
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Clinical application and immune infiltration landscape of stemness‐related genes in heart failure by Wenting Yan, Yanling Li, Gang Wang, Yuan Huang, Ping Xie

“…Feature selection was performed using two machine learning algorithms. Nomogram models were then constructed to predict HF risk based on the selected key genes. …”
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187 A collaborative scholar retreat model to create dialogue among training programs by Shaweta Singla, Jessica Petrie, Gail Thomas, Stephen Wilson, David Rabago, Marie Boltz, Lauren Van Scoy

“…The program included presentations on CTSI resources and Team Science on How to Become a Better Team Member in cross-disciplinary and cross-functional groups. The KL2 Scholars presented motivational talks on their career and professional development journeys. …”
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Place and infrastructure in the energy transition: planning with community ties and environmental social value by Lina Moe, Emily Grubert

“…Particularly during the infrastructure-intensive ‘mid-transition’ period during which fossil and non-fossil energy systems operate simultaneously with overlapping functions, understanding how people adapt to, value, or resent living with these infrastructures can enable value-informed design and planning efforts. …”
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Artificial intelligence Defect Detection Robustness inReal-time Non-Destructive Testing of Metal Surfaces by Chaoyu Dong, Jovian Sanjaya Putra, Andrew A. Malcolm

“… Artificial intelligence (AI) is revolutionizing defect detection by employing advanced computational techniques to enhance accuracy and efficiency. Through machine learning methods and deep neural networks, it is possible for AI systems to learn from diverse datasets and accurately identify defects across various applications. …”
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Predicting laboratory solution kit accuracy using artificial intelligence: a data-driven approach by Abdulwahab AL-Deib, Eshraq Alsherif, Husameddin Abuzgaia, Amel Rabti, Ruwaida Rtemi, Salem Elfard, Sheren Njaim

“…Despite high accuracy, limitations include unit restriction (mg/dL only), single-value processing, and lack of batch export functionality. The study highlights AI’s transformative role in laboratory standardization, particularly through machine learning (ML) techniques like linear regression and random forests. …”
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Psychological first aid for Ukrainian civilians: protocol and reflections on a volunteer international phone-based intervention by Yanina Shraga, Helen Pushkarskaya, Orly Sarid

“…Using an autoethnographic approach, this study integrates the therapist's retrospective reflections, cultural context, and professional learning to examine PFA implementation in a crisis setting. …”
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An Advanced Generative AI-Based Anomaly Detection in IEC61850-Based Communication Messages in Smart Grids by Aydin Zaboli, Yong-Hwa Kim, Junho Hong

“…Security incidents in digital substations can create notable difficulties for the consistent and stable functioning of power systems. To address these issues, implementing defense and mitigation strategies is essential. …”
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Development of Theoretical and Methodological Approaches to Public Administration: From The “Iron Cage” Bureaucracy to Digital Governance and Client-Centeredness by A. A. Lyalikov

“…The study concludes that there is no one-size-fits-all approach to public administration, and a multifaceted approach is necessary for the effective and efficient functioning of the state apparatus.…”
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. The place of the theory of upbringing and education in a foreign language teacher training curriculum by L. R. Vartanova, Yu. S. Sizova

“…The focus is on the determination of the place of the theory of upbringing and learning in the structure of the educational program and its role in the professional pedagogical consciousness formation of the graduate. …”
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PTML models of self assembled ligand free nanoparticle catalysts for cross coupling reactions by Andrea Ruiz-Escudero, Zuriñe Serna-Burgos, Sonia Arrasate, Humberto González-Díaz

“…The studied reactions include Suzuki–Miyaura, Kumada, Negishi, Buchwald-Hartwig, C(sp2)- and C(sp3)-H functionalization, and double carbonylation. A comprehensive dataset was built, and multiple linear regression (MLR) and artificial neural network (ANN) models were built and compared. …”
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