Investigating the knowledge and attitude of mothers with teenagers toward human papillomavirus vaccine injection by Leila Shasti, Sayeda Zeinab Hoseinnezhad, Zohre Keshavarz, Maryam Najiabhary, Farangis Habibi, Zeinab Hamzegardeshi

“…MATERIALS AND METHODS: The current research is a cross-sectional study (descriptive and analytical) that was conducted in the health and treatment centers of Pakdasht city in the year 2021. …”
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Green Hydrogen: Pathway to Net Zero Green House Gas Emission and Global Climate Change Mitigation by Ife Elegbeleye, Olusegun Oguntona, Femi Elegbeleye

“…While significant progress has been made in hydrogen production, storage, and utilization, there remains a crucial need to assess its economic viability and integration into current energy systems and to reduce its emission footprint. …”
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Machine learning applications in river research: Trends, opportunities and challenges by Long Ho, Peter Goethals

“…This study aims to provide a systematic review of the state‐of‐the‐art ML‐based techniques, trends, opportunities and challenges in river research by applying text mining and automated content analysis. Unsupervised and supervised learning have dominated river research while neural networks and deep learning have also gradually gained popularity. …”
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Combining comparative proteomics and molecular genetics uncovers regulators of synaptic and axonal stability and degeneration in vivo. by Thomas M Wishart, Timothy M Rooney, Douglas J Lamont, Ann K Wright, A Jennifer Morton, Mandy Jackson, Marc R Freeman, Thomas H Gillingwater

“…We propose that the proteins and functional pathways identified in the current study represent attractive targets for developing therapeutics aimed at modulating synaptic and axonal stability and neurodegeneration in vivo.…”
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Progress on the HIF-1α/VEGF/VEGFR2 signal pathway in hepatic alveolar echinococcosis by Meng-Zhao Xu, Fei Ke, Jin-Ping Chai, Ji-De A, Qing-Long Tan

“…Such approaches could mitigate limitations of conventional therapies (e.g., benzimidazoles), particularly for advanced-stage AE with microvascular proliferation. Systematic analysis of angiogenesis signalling networks advances our understanding of AE’s “parasitic cancer” paradigm while guiding development of targeted interventions to improve patient outcomes.…”
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Enhancing phase change thermal energy storage material properties prediction with digital technologies by Minghao Yu, Jing Liu, Cheng Chen, Mingyue Li

“…To address these limitations, the integration of digital technologies, such as computational modeling and machine learning (ML), has become increasingly important.MethodsThis paper proposes a hybrid multiscale modeling framework that integrates molecular dynamics (MD) simulations, finite element methods (FEM) from continuum mechanics, and supervised ML algorithms—including deep neural networks and gradient boosting regressors—to enable accurate and efficient prediction of material properties across scales. …”
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Integrating non-linear radon transformation for diabetic retinopathy grading by Farida Mohsen, Samir Belhaouari, Zubair Shah

“…We conducted extensive experiments on two benchmark datasets, APTOS-2019 and DDR, using three convolutional neural networks (CNNs): ResNeXt-50, MobileNetV2, and VGG19. …”
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Deep Learning Evaluation of Glaucoma Detection Using Fundus Photographs in Highly Myopic Populations by Yen-Ying Chiang, Ching-Long Chen, Yi-Hao Chen

“…Patients with high myopia (spherical equivalent refraction of ≤−6.0 D) were included in the current analysis. Meanwhile, patients with pathological myopia were excluded. …”
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Logopenic and nonfluent variants of primary progressive aphasia are differentiated by acoustic measures of speech production. by Kirrie J Ballard, Sharon Savage, Cristian E Leyton, Adam P Vogel, Michael Hornberger, John R Hodges

“…Patients were diagnosed using the current gold-standard of expert perceptual judgment, based on presence/absence of particular speech features during speaking tasks. …”
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Advancements in artificial intelligence and machine learning for poultry farming: Applications, challenges, and future prospects by Muhammad Halim Natsir, Wayan Firdaus Mahmudy, Mochamad Tono, Yuli Frita Nuningtyas

“…The findings reveal that Convolutional Neural Networks (CNN), especially YOLOv8, offer superior performance in visual-based poultry health detection, achieving over 90 % accuracy for conditions like bumblefoot and woody breast. …”
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Research on Enhanced Dynamic Pig Counting Based on YOLOv8n and Deep SORT by Peng Shen, Keyu Mei, Haori Xue, Tenglong Li, Guoqing Zhang, Yongxiang Zhao, Wei Luo, Liang Mao

“…Pig counting is an essential activity in the administration of pig farming. Currently, manual counting is inefficient, costly, and unsuitable for systematic analysis. …”
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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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What factors are associated with new social isolation years after the great East Japan Earthquake?: findings from the TMM CommCohort study by Yuka Kotozaki, Kozo Tanno, Kotaro Otsuka, Ryohei Sasaki, Makoto Sasaki

“…Among men, factors associated with new social isolation were not currently smoking among those without house damage, living alone among those with house damage, and no exercise habits among those who experienced the death of family members due to GEJE. …”
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Artificial intelligence chatbots as sources for patient education material on child abuse by Lily Nguyen, Viet Tran, Joy Li, Denise Baughn, Joseph Shotwell, Kimberly Gushanas, Sayyeda Hasan, Lisa Falls, Rocksheng Zhong

“…Methods: Eight questions on child abuse from the National Child Traumatic Stress Network (NCTSN) were input into ChatGPT, Google Gemini, and Microsoft Copilot. …”
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Corticosteroid treatment prediction using chest X-ray and clinical data by Anzhelika Mezina, Samuel Genzor, Radim Burget, Vojtech Myska, Jan Mizera, Aleksandr Ometov

“…However, not everyone benefits from the treatment, moreover, it can have severe side effects. Currently, no study would analyze who benefits from the treatment. …”
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Socio-Economic Factors of Population Reproduction in Russia and in the Context of Federal Districts by T. I. Gulyaeva, E. V. Takmakova, V. I. Savkin

“…In the course of the work, such statistical research methods as tabular and graphical methods, analysis of indexes of dynamics series were used.Results. …”
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Leveraging diverse cell-death patterns to predict to predict prognosis and immunotherapy in hepatocellular carcinoma by Xiaoxiang Zhang, Dongxiao Ding, Dianqian Wang, Yunsheng Qin

“…The gene set associated with survival time and survival status was screened by weighted correlation network analysis (WGCNA). Via Cox regression test and LASSO Cox regression model, prognostic signature was established and was then externally validated by ICGC-LIRI-JP dataset and GSE14520 dataset. …”
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The application of super-resolution ultrasound radiomics models in predicting the failure of conservative treatment for ectopic pregnancy by Mingyan Zhang, Junfa Sheng

“…Abstract Background Conservative treatment remains a viable option for selected patients with ectopic pregnancy (EP), but failure may lead to rupture and serious complications. Currently, serum β-hCG is the main predictor for treatment outcomes, yet its accuracy is limited. …”
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Non-Invasive Retinal Biomarkers for Early Diagnosis of Alzheimer’s Disease by Snježana Kaštelan, Antonela Gverović Antunica, Velibor Puzović, Ana Didović Pavičić, Samir Čanović, Petra Kovačević, Pia Antonia Franciska Vučemilović, Suzana Konjevoda

“…Diagnosing AD is particularly challenging as it requires timely recognition. Currently, there is no effective therapy for AD; however, certain medications may help slow its progression. …”
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Defect Detection in Industrial Soldering Processes Using Machine Learning: A Critical Literature Review by Luca Eisentraut, Johanna Hosch, Maksym Roytenberg, Amelie Benecke, Pascal Penava, Ricardo Buettner

“…Visual imaging and neural networks are the dominant techniques for non-destructive testing and machine learning, respectively. …”
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