Machine learning-based MRI radiomics predict IL18 expression and overall survival of low-grade glioma patients by Zhe Zhang, Yao Xiao, Jun Liu, Feng Xiao, Jie Zeng, Hong Zhu, Wei Tu, Hua Guo

“…Abstract Interleukin-18 has broad immune regulatory functions. Genomic data and enhanced Magnetic Resonance Imaging data related to LGG patients were downloaded from The Cancer Genome Atlas and Cancer Imaging Archive, and the constructed model was externally validated using hospital MRI enhanced images and clinical pathological features. …”
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Intelligent fibers and textiles for wearable biosensors by Wanlin Fu, Buyun Yu, Dongxiao Ji, Zhou Zhou, Xingyu Li, Rui Wang, Weibing Lu, Yueming Sun, Yunqian Dai

“…Additionally, key micro–nano technologies that have emerged in this domain are highlighted such as built‐in power supplies, wireless data transmission, precise data analysis driven by artificial intelligence, and machine learning. …”
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Determination of malachite green in sediment by ultra performance liquid chromatography-mass spectrometry by Mei Guangming, Guo Yuanming, Zhang Xiaojun, Yan Zhongyong, Li Peipei, You Juju, Ding Yueping

“…Due to the matrix complex of sediment, sample pretreatment technology is the key technology. As a new type of functional material, mut-i walled nanotubes (MWCNTs) have extensive prospect in the field of analytical chemistry. …”
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Identification of differentially expressed MiRNA clusters in cervical cancer by S. Sriharikrishnaa, Padacherri Vethil Jishnu, Vinay Koshy Varghese, Vaibhav Shukla, Sandeep Mallya, Sanjiban Chakrabarty, Krishna Sharan, Deeksha Pandey, Shama Prasada Kabekkodu

“…The present study aimed to identify the miRNA clusters (MCs) altered in CC, identify their clinical utility, and understand their biological functions via computational analysis. Methods We used small RNA sequencing and qRT‒PCR to identify and validate abnormally expressed MCs in cervical squamous cell carcinoma (CSCC) samples. …”
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Hypoxia-induced RHCG as a key regulator in psoriasis and its modulation by secukinumab by Shun Guo, Qian Zhang, Yuan-jie Liu, Yun-yao Hu, Cong Liu, Hui Shen, Jia Liu

“…We employed bioinformatics approaches, including spatial transcriptomics analysis, single-cell transcriptomics analysis, and bulk data analysis, to elucidate the biological functions of RHCG. …”
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A verifiable EVM-based cross-language smart contract implementation scheme for matrix calculation by Yunhua He, Yigang Yang, Chao Wang, Anke Xie, Li Ma, Bin Wu, Yongdong Wu

“…In this scheme, a verifiable interaction process is designed to verify the computation process and results, and a matrix blinding technology is introduced to protect sensitive user data in the calculation process. The security analysis and performance tests show that the proposed scheme can satisfy the correctness and privacy of the cross-language implementation of smart contracts at a small additional efficiency cost.…”
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Intelligent biosensors for human movement rehabilitation and intention recognition by Mehrab Rafiq, Nouf Abdullah Almujally, Asaad Algarni, Mohammed Alshehri, Yahya AlQahtani, Ahmad Jalal, Ahmad Jalal, Hui Liu, Hui Liu, Hui Liu

“…These results surpass the performance of several existing state-of-the-art methods. Statistical analysis and additional testing confirmed the robustness and generalization capabilities of the model across both datasets.DiscussionThe developed system demonstrates strong performance in recognizing human locomotion and localization across different sensor environments, even when dealing with noisy data. …”
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ggClusterNet 2: An R package for microbial co‐occurrence networks and associated indicator correlation patterns by Tao Wen, Yong‐Xin Liu, Lanlan Liu, Guoqing Niu, Zhexu Ding, Xinyang Teng, Jie Ma, Ying Liu, Shengdie Yang, Penghao Xie, Tianjiao Zhang, Lei Wang, Zhanyuan Lu, Qirong Shen, Jun Yuan

“…Abstract Since its initial release in 2022, ggClusterNet has become a vital tool for microbiome research, enabling microbial co‐occurrence network analysis and visualization in over 300 studies. To address emerging challenges, including multi‐factor experimental designs, multi‐treatment conditions, and multi‐omics data, we present a comprehensive upgrade with four key components: (1) A microbial co‐occurrence network pipeline integrating network computation (Pearson/Spearman/SparCC correlations), visualization, topological characterization of network and node properties, multi‐network comparison with statistical testing, network stability (robustness) analysis, and module identification and analysis; (2) Network mining functions for multi‐factor, multi‐treatment, and spatiotemporal‐scale analysis, including Facet.Network() and module.compare.m.ts(); (3) Transkingdom network construction using microbiota, multi‐omics, and other relevant data, with diverse visualization layouts such as MatCorPlot2() and cor_link3(); and (4) Transkingdom and multi‐omics network analysis, including corBionetwork.st() and visualization algorithms tailored for complex network exploration, including model_maptree2(), model_Gephi.3(), and cir.squ(). …”
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Machine Learning and IoT-Based Solutions in Industrial Applications for Smart Manufacturing: A Critical Review by Paolo Visconti, Giuseppe Rausa, Carolina Del-Valle-Soto, Ramiro Velázquez, Donato Cafagna, Roberto De Fazio

“…Furthermore, for each discussed topic, a deep comparative analysis of the recent IoT solutions reported in the scientific literature is introduced, dwelling on the architectural aspects, sensing solutions, implemented data analysis strategies, communication tools, performance, and other characteristic parameters. …”
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QUALITY MANAGEMENT SYSTEM OF A PHARMACEUTICAL ORGANIZATION: CRITERIA AND IMPLEMENTATION by A. A. Klimenkova, L. N. Geller, A. A. Skripko, L. A. Gravchenko, N. V. Fedorenko

“…The study is based on the analysis of scientific literature data and Analytical Normative Documents regulating various aspects of QMS functioning in pharmaceutical organizations. …”
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Optimizing an Electronic Health Record System Used to Help Health Care Professionals Comply With a Standardized Care Pathway for Heart Failure During the Transition From Hospital T... by Marta Font, Nadia Davoody

“…MethodsIn total, 16 semistructured interviews were conducted with nurses and physicians from both hospital and primary care settings. Thematic analysis was used to analyze the data and recommendations for improvements that were developed based on the findings. …”
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Effective Diabetic Retinopathy Classification With Siamese Neural Network: A Strategy for Small Dataset Challenges by Maria Tariq, Vasile Palade, Yingliang Ma

“…Furthermore, we conduct an in-depth analysis of hyperparameter optimisation, specifically investigating different pair selection techniques, loss functions, and distance layers to thoroughly evaluate their impact on the performance of the model. …”
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Implementing Soil Health Improvement Techniques in Regenerative Agriculture Using IoT-Enabled NPK Sensing for Precision Nutrient Management by Alabdeli Haider, Obaid Mohammed Kadhim, Kumar C. Vivek

“…Real-time soil moisture data is acquired by the EC-5 sensor, which helps in precise irrigation management working for soil structure and microbial health. …”
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Contribution of polymorphic variants of the NFKB1 transcription factor gene to the development of multifactorial diseases with an infammatory component by A. V. Meyer, T. A. Tolochko, E. A. Astafyeva, M. V. Ulyanova, D. O. Imekina, M. B. Lavryashina

“…NFKB1 — a product of the same-name gene – is a transcription factor that regulates the expression of target genes which encode a wide range of proteins with properties essential for functioning of the body. Numerous studies confrmed the NFKB1 gene's contribution of the polymorphism to the processes of adaptation to climatic and geographical conditions, protection from infectious agents, as well as the pathogenesis of multifactorial diseases. …”
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Synthesis, spectral characterization, thermo-kinetic and biological studies of some complexes derived from tridentate hydrazone Schiff base by Gajanan Dongare, Anand Aswar

“…Physicochemical data suggests an octahedral geometry for all complexes. …”
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Revascularization impact: quality of life enhancement in chronic limb-threatening ischemia by Cristian Traian Paius, Vlad Denis Constantin, Alexandru Carap, Andrei Tarus, Grigore Tinica

“…The SF-36 questionnaire showed low data reliability for the General Health and Social Functioning domains. …”
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Two Machine-learning Hybrid Models for Predicting Type 2 Diabetes Mellitus by Rahman Farnoosh, Karlo Abnoosian, Rasha Abbas Isewid

“…The dataset contains twelve attributes and includes outlier data. Outliers in medical studies can result from unusual disease attributes. …”
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Examining the effect of a sexual self-efficacy based educational intervention on postmenopausal sexual satisfaction and sexual distress: a parallel quasi-experimental study by Ata Torkamani, Mansoureh Jamshidimanesh, Sally Pezaro, Elahe Amirkhalili

“…Abstract Objective Menopause is associated with changes that affect sexual functioning. We evaluated the effect of a sexual self-efficacy-based educational intervention on postmenopausal sexual satisfaction and distress. …”
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Deep Learning in Defect Detection of Wind Turbine Blades: A Review by Katleho Masita, Ali N. Hasan, Thokozani Shongwe, Hasan Abu Hilal

“…Notable approaches like YOLO (You Only Look Once) and its variants have shown exceptional performance in detecting defects with varying scales and complexities, leveraging innovations such as feature pyramid networks and efficient loss functions. Furthermore, this review discusses the role of advanced data acquisition techniques, such as drone-based imaging, thermographic analysis, and LiDAR (Light Detection and Ranging), in generating high-resolution and multi-spectral data for improved detection accuracy. …”
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The Policy-Making Model Based on Conflict of Interest Management in Crisis Conditions in the Country\'s Health System (Case of Study: The Experience of COVID-19) by Mahnaz sabzi, abbas Monavarian, Tayebeh Abbasi

“…The inclusion criteria were familiarity with the policy-making process in the health system and having at least a master's degree related to policy-making, and the exclusion criterion was lack of desire and motivation. Data analysis was done in three stages of open coding, axial coding, and selective coding using MaxQDA10 software. …”
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