Mapping key trends, relationships, and molecular pathways for neuroprotection in glaucoma: a bibliometric approach by Puneet Agarwal, Renu Agarwal, Igor Iezhitsa

“…Bibliographic data were sourced from Scopus. Basic bibliographic features were characterized using Scopus's functions. …”
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The association of ultra-processed food intake on age-related muscle conditions: a systematic review and dose–response meta-analysis with meta-regression by Mohammad Ali Hojjati Kermani, Farhang Hameed Awlqadr, Sepide Talebi, Sanaz Mehrabani, Donny M. Camera, Reza Bagheri, Fariborz Poorbaferani, Seyed Mojtaba Ghoreishy, Parsa Amirian, Mahsa Zarpoosh, Sajjad Moradi

“…Abstract Objectives Chronic excessive intake of ultra-processed foods (UPFs) has been linked to various metabolic conditions; however, its impact on skeletal muscle mass and function in older adults remains unclear. Therefore, we conducted this study to examine the association between UPF intake and age-related muscle outcomes, including frailty, sarcopenia, low muscle mass (LMM), and/or low muscle strength (LMS). …”
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Assessing long term impact of regional climate and human activities on vegetation greenness dynamics in Sundarbans by Muhammad Sadiq Khan, Ayesha Akter, Ismail Khan, Luis Carlos Ramos Aguila, Lina Akter, Mengmeng Yang, Xu Li, Yuelin Li

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RiceChain-Plus: an enhanced framework for blockchain-based rice supply chain systems-ensuring security, privacy, and efficiency by Bello Musa Yakubu, Abdullah Abdulrahman Alabdulatif, Pattarasinee Bhattarakosol

“…To address these issues, this article presents RiceChain-Plus, an enhanced architecture that incorporates a private Ethereum blockchain, proof of authority (PoA) consensus mechanism, mutual authentication, zero-knowledge proofs (ZKPs), a hybrid role-based access control (RBAC) and attribute-based access control (ABAC) system, and one-way hash functions. This approach enhances the rice supply chain’s security, privacy, and efficiency by safeguarding sensitive data and ensuring confidentiality. …”
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A comprehensive prognostic and immunological implications of Gremlin 1 in lung adenocarcinoma by Hongyan Li, Yang Zhou, Jiaqing Xiao, Fang Liu

“…This study systematically examines GREM1 expression in LUAD and its association with tumor progression, immune microenvironment, and prognosis.MethodsGene expression data from the TCGA and GSE31210 databases were analyzed using Weighted Gene Co-expression Network Analysis (WGCNA), GO and KEGG enrichment analyses. …”
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Education 4.0 in the era of digital transformation: perspectives and possible project concepts by Anna Alexandrovna Paskova

“…Technological achievements caused by the fourth industrial revolution (Industry 4.0) are developing incredibly fast, changing the image of our life, work and functioning of society as a whole. Artificial intelligence, robotics, Big Data and Internet of things in aggregate affect the labor market and the economy as a whole. …”
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DualPlaqueNet with dual-branch structure and attention mechanism for carotid plaque semantic segmentation and size prediction by Lili Deng, Xingyu Duan, Yongxiang Sun, Yunling Wang, Dongmei Song, Xiaokai Duan

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Global Trends and Empirical Metrics in the Evaluation of Code Smells and Technical Debt: A Bibliometric Study by Ronald Henry Diaz Arrieta, Byron Leoncio Diaz Monroy, Luis Javier Castillo Heredia, Alexandra Gabriela Valenzuela Cobos

“…Among the critical factors that affect these attributes are code smells, indicators of structural deficiencies in the source code, which, although they do not directly affect functionality, significantly increase technical debt and maintenance costs. …”
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Breast myopathy co-occurrence and its impact on carcass and meat quality attributes in broiler chickens by Míriam Muñoz-Lapeira, Maria Font-i-Furnols, Albert Brun, Anna Jofré, Marcos Botella, Cristina Zomeño

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Spatio-Temporal Heterogeneity of Vegetation Coverage and Its Driving Mechanisms in the Agro-Pastoral Ecotone of Gansu Province: Insights from Multi-Source Remote Sensing and Geodet... by Macao Zhuo, Jianyu Yuan, Jie Li, Guang Li, Lijuan Yan

“…This study integrated MODIS/NDVI remote sensing data (2000–2020), climate, land, and anthropogenic factors, employing Sen’s slope analysis, coefficient of variation (<i>Cv</i>), Hurst index, geodetector modeling, and partial correlation analysis to systematically unravel the spatio-temporal evolution and driving mechanisms of vegetation coverage. …”
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Mental health in children with and without disabilities in a register-based Swedish sample supports the two-continua model: a latent class analysis by Lina Homman, Lilly Augustine, Mats Granlund

“…Nearly 4000 children aged 10–18, with and without disabilities, and their caregivers (ULF/SILC) were studied through yearly interview-based sample surveys conducted between 2013 and 2019. Latent class analysis was performed to assess whether the data fit a 4-class model in line with the two-continua model. …”
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A Normative Model Representing Autistic Individuals Amidst Autism Spectrum Phenotypic Heterogeneity by Joana Portolese, Catarina Santos Gomes, Vinicius Daguano Gastaldi, Cristiane Silvestre Paula, Sheila C. Caetano, Daniela Bordini, Décio Brunoni, Jair de Jesus Mari, Ricardo Z. N. Vêncio, Helena Brentani

“…Methods: Using phenotypic data available in a comprehensive reference sample, the Simons Simplex Collection (<i>n</i> = 2744 individuals), we performed principal component analysis (PCA) to find components of phenotypic variability. …”
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Consistent analysis of the elastic, inelastic and fusión cross sections in the systems 16O + 144, 148, 150, 152Sm at sub-barrier energies by E. Guerra, J. Lubian, R. Cabezas

“…The calculated elastic and inelastic angular distributions and fusion excitation functions reasonably well agree with experimental data. …”
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Consistent analysis of the elastic, inelastic and fusión cross sections in the systems 16O + 144, 148, 150, 152Sm at sub-barrier energies by E. Guerra, J. Lubian, R. Cabezas

“…The calculated elastic and inelastic angular distributions and fusion excitation functions reasonably well agree with experimental data. …”
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The effect of vitamin supplementation on neurodevelopmental and clinical outcomes in very low birth weight and very preterm infants: A systematic review and meta-analysis. by Anja Bronnert, Peter M Bloomfield, Lilia Delgado Páramo, Luling Lin, Frank H Bloomfield, Barbara E Cormack

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Comprehensive Analysis of Alpha-Parametric Set for the Calculation of Intersection Lengths of Radiological Ray Path in Siddon's Algorithm Used in 3D Image Reconstruction by Adem Polat

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Expert evaluation of mobile health apps for breast cancer management: a feature-based analysis using the Mobile Application Rating Scale (MARS) by Ghazaleh Mohammadi Mogharab, Reza Khajouei, Narges Norouzkhani, Zahra Esmaeili, Fatemeh Zahra Bagheri, Mohammad Reza Mazaheri Habibi

“…Four health information technology experts independently assessed the apps using MARS and the Feature-based Application Rating Method (FARM), with discrepancies resolved through discussion to ensure reliability. Data analysis included calculating mean scores, testing for data normality, and examining correlations between MARS and FARM dimensions using Spearman’s correlation. …”
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Circular RNA Expression Profile in Cervical Cancer and Construction of the Circular RNA‑MicroRNA‑Messenger RNA Regulatory Network by S. A. Begliarzade, R. I. Tamrazov, E. R. Musaev, C. Wang

“…Protein-protein interaction (PPI), Gene Ontology (GO) analysis, and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were performed to further understand the function of circRNAs for their target genes. …”
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Integrated analysis of single-cell and bulk RNA sequencing to construct a CD8+ T cell-related immune gene signature in pancreatic cancer by Yuzhi Liu, Fei Xu, Anyi Jiang, Jie Ding, Chungao Li, Ming Quan

“…Our findings suggest that patients with low TIGs scores have stronger immune effector functions and immune checkpoint activation, resulting in a more favorable response to PD-L1 inhibitors. …”
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Selection of target-binding proteins from the information of weakly enriched phage display libraries by deep sequencing and machine learning by Tomoyuki Ito, Thuy Duong Nguyen, Yutaka Saito, Yoichi Kurumida, Hikaru Nakazawa, Sakiya Kawada, Hafumi Nishi, Koji Tsuda, Tomoshi Kameda, Mitsuo Umetsu

“…In summary, the use of appropriate deep sequencing data and machine learning with the sequence data has the possibility of finding sequence space where functional variants are enriched.…”
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