Fatigue failure mechanisms and life prediction of additive manufactured metallic lattices: a comprehensive review by Hao Xin, Dingcheng Tang, Linwei Dang, Lei Gao, Zhenyu Yang, Bin Wu, Xiaofan He, Zhixin Zhan

“…It reviews common manufacturing methods and post-processing techniques, with particular emphasis on the unique process-induced defects found in lattice structures. …”
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Determining Average Available Workdays for Roadway Construction Projects Using Long-Term Weather Data—A Case Study for Alabama by Esthefany Marien Mejia Reyes, Xing Fang, Michael A. Perez

“…Excel spreadsheet tools with Visual Basic for Applications (VBA) programs were developed to process the downloaded long-term weather data with two different formats. …”
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Predicting Diabetes Mellitus with Machine Learning Techniques by Heba Ahmed Jassim, Omar R. Kadhim, Zahraa Khduair Taha, Johnny Koh Siaw Paw, Yaw Chong Tak, Tiong Sieh Kiong

“… Blood sugar issues are a major health issue worldwide, with their incidence growing rapidly and affecting human health, economic systems, and societal structures. …”
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Enhancing Data Security in Distributed Systems Using Homomorphic Encryption and Secure Computation Techniques by Parihar Bhawana, Kiran Ajmeera, Valaboju Sabitha, Rashid Syed Zahidur, Liyakat Kazi Kutubuddin Sayyad, D R Anita Sofia Liz

“…Current homomorphic encryption (HE) and secure computation methods suffer from drawbacks like significant computational overhead, scalability issues, network inefficiencies, and non-practical implementations for low-power and edge systems. …”
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Ultrasound Treatment of Iota-Carrageenan and Guar Gum by Kseniya N. Nitsievskaya, Svetlana V. Stankevich, Elena V. Boroday

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Artificial intelligence tools in supporting healthcare professionals for tailored patient care by Jiyeong Kim, Michael L. Chen, Shawheen J. Rezaei, Tina Hernandez-Boussard, Jonathan H. Chen, Fatima Rodriguez, Summer S. Han, Rayhan A. Lal, Sun H. Kim, Chrysoula Dosiou, Susan M. Seav, Tugce Akcan, Carolyn I. Rodriguez, Steven M. Asch, Eleni Linos

“…We aimed to draft potential AI tools for tailored patient support corresponding to patients’ needs and assess clinicians’ perceptions about the usefulness of those AI tools. To define patients’ issues, we analyzed 528,199 patient messages of 11,123 patients with diabetes by harnessing natural language processing and AI. …”
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Chinese Clinical Named Entity Recognition With Segmentation Synonym Sentence Synthesis Mechanism: Algorithm Development and Validation by Jian Tang, Zikun Huang, Hongzhen Xu, Hao Zhang, Hailing Huang, Minqiong Tang, Pengsheng Luo, Dong Qin

“… Abstract BackgroundClinical named entity recognition (CNER) is a fundamental task in natural language processing used to extract named entities from electronic medical record texts. …”
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Recent advances in cannabidiol (CBD) extraction: a review of potential eco-friendly solvents and advanced technologies by Saranya Selvaraj, Nazeefa Nawfer, K.V. Surangi Dharmawansa, Ali Ali Redha, H.P. Vasantha Rupasinghe

“…However, there are unresolved challenges in CBD extraction including low yields, impurity issues, and environmental concerns, suggesting the requirement for green methods. …”
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Advanced genetic algorithm (GA)-independent component analysis (ICA) ensemble model for predicting trapped humans through hybrid dimensionality reduction by Enoch Adama Jiya, Ilesanmi B. Oluwafemi

“…The curse of dimensionality has been addressed in a variety of ways, but issues with accuracy, dependability, and scalability still exist. …”
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Land Use Structure Optimization in Rail Transit Station Area under TOD (Transit Oriented Development) Mode by HE Jun, WANG Junfeng, ZHANG Dongchi

“…［Method］ Starting from the TOD planning principles and taking the common land use issues in rail transit station areas as the starting point, three optimization orientations: land intensity control, functional mixing, and appropriate land use ratio are proposed. …”
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Siamese Graph Convolutional Split-Attention Network with NLP based Social Sentimental Data for enhanced stock price predictions by Jayaraman Kumarappan, Elakkiya Rajasekar, Subramaniyaswamy Vairavasundaram, Ketan Kotecha, Ambarish Kulkarni

“…Through Natural Language Processing (NLP), the raw data is pre-processed and key features are extracted before they are fused into a unified dataset using a cross-domain transformer, namely CDSFT, and then Circle-Inspired Optimization Algorithm (CIOA) selects the most important features from this dataset. …”
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Valeological support of library-information activities in school libraries by V. Y. Sokolov

“…To influence the behavior, informative methods should be combined with life skills of effective work and rest, physical activity, rational nutrition, an ability to analyze health issues and make appropriate decisions. Thus, forming health culture through library-information activities provides arming school readers and librarians with knowledge on social and individual health and applying certain information technologies in their activities.…”
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A population spatialization method based on the integration of feature selection and an improved random forest model. by Zhen Zhao, Hongmei Guo, Xueli Jiang, Ying Zhang, Changjiang Lu, Can Zhang, Zonghang He

“…To address these issues, a population spatialization model that integrates feature selection with an improved random forest is proposed herein. …”
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A New Pallet-Positioning Method Based on a Lightweight Component Segmentation Network for AGV Toward Intelligent Warehousing by Bin Wu, Shijie Wang, Yi Lu, Yang Yi, Di Jiang, Mengmeng Qiao

“…On this basis, a residual structure is introduced to reduce redundant network parameters, addressing issues like vanishing and exploding gradients during training. …”
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Legal aspects of functional security standardisation of the Internet of Things by P. S. Klimushyn, V. Ye. Roh, T. P. Kolisnyk

“…To support the Internet of Things, technologies such as built-in devices, cloud and fog computing, big data processing, machine learning, and artificial intelligence are used to produce intelligent physical objects. …”
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Adaptive constraint control based peak-attenuated disturbance observer for the electric vehicle used permanent magnet synchronous motor by Yao Wang, Yang Jiao, Hong Chen, Lunjun Yao

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Towards Self-Conscious AI Using Deep ImageNet Models: Application for Blood Cell Classification by Mohamad Abou Ali, Fadi Dornaika, Ignacio Arganda-Carreras

“…Despite these benefits, issues such as data sparsity and the misrepresentation of classes can diminish these gains, occasionally leading to misleading TL accuracy scores. …”
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Performance Analysis of Ergodic Rate and Effective Capacity for RIS-Assisted NOMA Networks Over Nakagami-<italic>m</italic> Fading Environments by Tran Cong Hung, Tan N. Nguyen, Vu Quang Sy, Anh-Tu Le, Bui Vu Minh, Miroslav Voznak

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Highly Accurate Adaptive Federated Forests Based on Resistance to Adversarial Attacks in Wireless Traffic Prediction by Lingyao Wang, Chenyue Pan, Haitao Zhao, Mingyi Ji, Xinren Wang, Junchen Yuan, Miao Liu, Donglai Jiao

“…Federated learning addresses privacy and transmission cost issues in model training, making it widely applicable in traffic prediction. …”
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Contemporary Experimental Traсeological Research in Archaeology (following the results of the International Conference "Traсeological Days in St. Petersburg. To the 50th Anniversar... by Natalia N. Skakun, Olga V. Lozovskaya, Anna A. Malutina, Vera V. Terekhina, Daria A. Fedorova, Madina Sh. Galimova

“…Among them: traditions and innovations in modern traceology; methods of processing and using different types of raw materials; technology of manufacturing products from different materials; relationship between form and function of tools; correlation between experimental samples and archaeological finds; issues of technology of prehistoric art; technological and functional study of ceramic products, interaction of technological and cultural traditions; ethnoarchaeological research, etc.…”
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