Electrochemical and UV-visible spectroscopic investigation of anthranilic acid interaction with DNA by Fatima Allouche, Nabil Benyza, Elhafnaoui Lanez, Abdelkader Chouaih, Touhami Lanez

“…Larger binding site size of Aa (5.76 base pairs) and decreased diffusion coefficients compared with Cis smaller footprint (0.56 base pairs), pointed to differences in mechanisms. …”
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Assessing Climate Change Impacts on Distribution Dynamics of Lysimachia Christinae in China Through MaxEnt Modeling by Yangzhou Xiang, Yuan Li, Ying Liu, Yingying Yuan, Suhang Li, Qiong Yang, Jinxin Zhang

“…However, in the context of the SSP5‐8.5 pathway, the retention rate significantly decreased to 64.77% by the 2090s, indicating greater habitat instability and expansion needs. …”
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Unraveling the complex role of microglia in Alzheimer’s disease: amyloid β metabolism and plaque formation by Sho Takatori, Mayuna Kondo, Taisuke Tomita

“…Conversely, we explore findings that challenge this view, such as microglial depletion experiments resulting in unchanged or decreased Aβ accumulation. We propose that the contribution of microglia to Aβ metabolism is context-dependent, varying with disease progression, genetic background, and experimental conditions. …”
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Social Skills Training Program and its Effect on Quality of Life and Stigma among Patients with Schizophrenia by Samah Ali, Amal Awad, Hanaa Ewise, Shimaa Adam

“… Context: Schizophrenia is a severe mental disorder that significantly disrupts an individual's social interactions, work performance, and overall quality of life. …”
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Therapeutic potential of microRNAs in neurological disorders: mechanisms, biomarkers, and emerging therapeutic strategies by Sourav Pal, Subhajit Mandal

“…This review explores the biogenesis of miRNAs and their dysregulation in neurological disorders, highlighting specific miRNAs that serve as potential biomarkers and therapeutic targets. For instance, decreased levels of miR-125b-5p and miR-26b-5p in cerebrospinal fluid have been associated with Alzheimer’s disease progression. …”
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Banking Models Under the Impact of the Post-Crisis Organizational Changes Apt to Confer Sustainable Financial Stability - Romanian Experience by Claudia Gabriela Baicu, Olimpia State

“…The banking model practiced in Romania continues to be the traditional one. Currently, the most important challenges of the Romanian banking system are the growth of the non-performing loans, the loans in foreign currency to unhedged borrowers, the pressure to meet the Basel III requirements, as well as the possibility that the exposure of foreign banks towards Romania to decrease.…”
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Determining the Teachers' Attitude towards "Mistake" and "Making Mistakes" in the Learning Process and Improving the Culture facing it (case study: elementary school students) by Mazhar Babaee, Hedyeh Azagh

“…With these perceptions, teachers may react differently to students' mistakes. In this context, the teacher's attitude, his awareness and experience of the impact of mistakes on progress and success in dealing with students' mistakes are very important. …”
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STATISTICAL ANALYSIS OF PRELIMINARY STUDIES FOR HEMP CONCRETE by Laurentiu ADAM, Dorina-Nicolina ISOPESCU, Loredana JUDELE, Roxana Dana BUCUR, Daniel LEPADATU

“…Waste is a major worldwide problem and its recycling has become mandatory in the current context of the decrease in natural resources. …”
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Consequences, costs and cost-effectiveness of workforce configurations in English acute hospitals by Peter Griffiths, Christina Saville, Jane Ball, David Culliford, Jeremy Jones, Francesca Lambert, Paul Meredith, Bruna Rubbo, Lesley Turner, Chiara Dall’Ora

“…These findings lend support to policy initiatives aimed at increasing the supply of RNs. Study registration This study is registered as Current Controlled Trials ClinicalTrials.gov NCT04374812. …”
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Nuclear pore dysfunction and disease: a complex opportunity by Charlotte M. Fare, Jeffrey D. Rothstein

“…In this review, we summarize the current understanding of nuclear pore biology in physiological and pathological contexts and discuss potential therapeutic approaches for addressing nuclear pore injury and dysfunctional nucleocytoplasmic transport.…”
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Archéologie et nouvelles technologies appliquées à l’étude des dynamiques contemporaines de destruction du patrimoine culturel : le cas du pillage en Méso-Amérique by Aura Fossati

“…Archaeology is increasingly delving into the study of recent phenomena, seeking to understand current social practices to address contemporary societal challenges. …”
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Climate Change Risk, Performance, and Value Added in Agricultural Sector by Ramin Amani, Zanko Ghorbani, Zana Mozaffari

“…This, in turn, results in decreased production costs, increased investment returns, surplus domestic supply, and expanded agricultural product exports. …”
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Advances and prospect in natural beauty evaluation: insights for the World Heritage karst by Xi Zhao, Kangning Xiong, Meng Zhang

“…The combination of traditional and emerging technologies such as SD method, SBE method, AHP method, neuroscience, and UGC data has increased, breaking through time and space constraints and expanding data sources. (4) In future studies, the assessment of natural beauty should concentrate on aesthetic preferences across diverse cultural contexts, develop a concept of global localization, and enhance evaluators' aesthetic perception through multisensory integration. …”
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Informed consent in genetic and genomic studies in Sub-Saharan Africa: a systematic review of bioethical issues by Yunqi Li, Deborah J. Bowen, Joon-Ho Yu

“…However, it remains unclear how well the current practices address the full range of informed consent challenges encountered by the stakeholders. …”
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CanASM: a comprehensive database for genome-wide allele-specific DNA methylation identification and annotation in cancer by Jianmei Zhao, Zeyu Zhao, Hongfei Li, Haojie Yu, Hao Lin, Hanqi Chen, Xuecang Li, Di Liu, Yiming Wang, Guohua Wang

“…Despite the increasing recognition of ASM as a potential biomarker in tumorigenesis, systematic resources dedicated to identifying and annotating ASMs in cancer contexts remain limited. …”
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Exploring the feasibility of establishing a core set of sexual, reproductive, maternal, newborn, child and adolescent health indicators in humanitarian settings: a multimethods, mu... by Angel Foster, Allisyn C Moran, Loulou Hassan Kobeissi, Lale Say, Manizha Ashna, Kassandre Messier, Kathleen Louise Strong

“…With the collapse of health systems, reduced resources and increased vulnerabilities from displacement, there is a need to strengthen current practices and ensure the delivery of comprehensive sexual, reproductive, maternal, newborn, child and adolescent health (SRMNCAH) services. …”
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Assessment of the effect of the COVID-19 pandemic on levels of satisfaction in marital relationships during and post-lockdown by Rasha Aziz Attia Salama, Rabab Gad Abd El-Kader, Talaat Matter Tadross, Shaimaa Hashem Elsalous

“…The current study aimed to assess marital satisfaction during and post the lockdown of the COVID-19 pandemic and explore the factors influencing marital satisfaction among the public. …”
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Universal multilayer network embedding reveals a causal link between GABA neurotransmitter and cancer by Léo Pio-Lopez, Michael Levin

“…Abstract Background The volume and complexity of biological data have significantly increased in recent years, often represented as network models continue to increase at a rapid pace. …”
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Perspectives of guardians/parents in Portugal: interpreting the inclusive education policy through lived school practices by Ana Eloisa Carvalho, Amélia Veiga

“…These changes align with the personalization of the educational process, particularly through the multi-level approach (MLA) to the curriculum and the increased involvement of the educational community, where the role of the guardian becomes increasingly central. …”
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Global road extraction using a pseudo-label guided framework: from benchmark dataset to cross-region semi-supervised learning by Xiaoyan Lu, Yanfei Zhong, Zhuo Zheng, JunJue Wang, Dingyuan Chen, Yu Su

“…Recent advancements in satellite remote sensing technology and computer vision have enabled rapid extraction of road networks from massive, Very High-Resolution (VHR) satellite imagery. However, current road extraction methods face the following limitations: 1) Insufficient availability of accurate and diverse training datasets for global-scale road extraction; 2) Costly and time-consuming manual labeling of millions of road samples; and 3) Limited generalization ability of deep learning models across diverse global contexts, resulting in better performance for regions well-represented in the training dataset, but worse performance when faced with domain gaps. …”
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