Early Desertification Risk in Advanced Economies: Summarizing Past, Present and Future Trends in Italy by Marco Maialetti, Rares Halbac-Cotoara-Zamfir, Ioannis Vardopoulos, Luca Salvati

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Predictive value of vaginal lactic acid bacteria changes on occurrence of HR-HPV-infected cervical intraepithelial neoplasia and construction and validation of nomogram model by Ying Huang, Yuliang Shen, Xuemei Wei, Jie Feng, Lin Zhu

“…Abstract Objective To explore the predictive value of vaginal lactic acid bacteria changes on the occurrence of HR-HPV infected cervical intraepithelial neoplasia (CIN), and to construct and validate Nomogram model. Methods The community composition, quantitative distribution and other indicators of vaginal lactic acid bacteria in patients with and without CIN were detected and analyzed. …”
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Title not available by García, Israel García, Justo, Jesús, Zurita Van-Dinter, Alejandro, Mantič, Vladislav

“…Particle-reinforced composites are widely used in industry, primarily due to their versatile fabrication methods and the ability to tailor their properties. …”
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Role of Maternal Empowerment in Addressing Child Malnutrition: Evidence from Asian Developing Countries by Mariam Abbas Soharwardi, Najma Iqbal Malik, Razia Anjum, Muhammad Sohaib Haleem, Inam Ullah Leghari, Jam Bilal Ahmad, Rohma Maryam, Maimoona Nazir, Saireen Fatima, Farooq Ahmed, Kun Tang

“…Objective: With an emphasis on nutritional outcomes, including stunting, wasting, and underweight, the main objective of this study is to investigate the connection between mother empowerment and child malnutrition and explore how better child health in developing Asian nations can be achieved through empowering mothers. Methods: Using Demographic and Health Survey (DHS) data of ten emerging Asian countries from three regions of Asia, this study evaluates maternal empowerment using the composite maternal empowerment index (CMEI) and examines how it relates to children’s nutritional health. …”
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An Image Grid Can Be Worth a Video: Zero-Shot Video Question Answering Using a VLM by Wonkyun Kim, Changin Choi, Wonseok Lee, Wonjong Rhee

“…Our extensive experimental analysis across ten zero-shot VQA benchmarks, including five open-ended and five multiple-choice benchmarks, reveals that the proposed Image Grid Vision Language Model (IG-VLM) surpasses the existing methods in nine out of ten benchmarks. …”
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3D printed polymers that mimic the mechanical properties of atherosclerotic blood vessels for training models: the advantageous degradation induced by UV radiation and hydrolysis by Joana Filipa Henriques, Lino Gonçalves, Ana Martins Amaro, Ana Paula Piedade

“…However, this mimicking can be challenging due to the complexity and composition of atherosclerotic vasculature. As additive manufacturing allows the production of complex and personalized structures, it provides great potential for manufacturing those models. …”
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Real-Time ConvNext-Based U-Net with Feature Infusion for Egg Microcrack Detection by Chenbo Shi, Yuejia Li, Xin Jiang, Wenxin Sun, Changsheng Zhu, Yuanzheng Mo, Shaojia Yan, Chun Zhang

“…This study introduces a real-time ConvNext-Based U-Net model with Feature Infusion (CBU-FI Net) for egg microcrack detection. …”
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Rescue of protein dyshomeostasis in hippocampal astrocytes from an Alzheimer’s disease mouse model by stabilizing ER-mitochondrial interactions at a 20 nm distance by Giulia Dematteis, Chunmei Gong, Justyna Malecka, Elisa Tonelli, Armando Genazzani, Laura Tapella, Anna Maria Eleuteri, Dmitry Lim, Laura Bonfili

“…However, its link to the impairment of the proteolytic system in AD remains unexplored. Methods We used, as a model, hippocampal astrocytes from 3xTg-AD mice expressing either control plasmid or synthetic linkers stabilizing ER-mitochondrial interaction at 10 nm (10 nm-EML) or at 20 nm (20 nm-EML). …”
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An Approach to Verification of a Family of Multi- agent Systems for Conflict Resolution by N. O. Garanina, E. A. Sidorova

“…These quasi-terminals specify processes which are merging of base system processes, in contrast to simple nonterminals which specify networks of parallel compositions of the processes. The method is based on model checking technique and abstraction. …”
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Strength of multilayered plates with impact damage by V.I. Mitryaykin, O.N. Bezzametnov

“…Here, we introduced an experimental technique to determine the PCM strength and modeled the impact damage on rectangular plates to illustrate the conclusions drawn. …”
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Quantitative modeling of mortality patterns in dogs exposed to alpha particle emitting radionuclides: Insights from competing risks and causal inference machine learning. by Eric Wang, Igor Shuryak, David J Brenner

“…This study employed state-of-the-art machine learning to evaluate the mortality effects of alpha-emitting radionuclides (241Am, 249Cf, 252Cf, 238Pu, 239Pu, 224Ra, 226Ra, 228Th) on 2,576 dogs, factoring in radioactivity levels, composition, administration method (injection or inhalation), and age at exposure. …”
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Safety and efficacy of edoxaban monotherapy after bioabsorbable polymer everolimus-eluting stent implantation in a human-like coronary atherosclerotic porcine model by Daisuke Kitano, Suguru Migita, Yuxin Li, Yutaka Koyama, Katsunori Fukumoto, Sayaka Shimodai-Yamada, Akira Onishi, Daiichiro Fuchimoto, Shunichi Suzuki, Yoshiyuki Nakamura, Atsushi Hirayama, Hiroyuki Hao, Yasuo Okumura

“…Methods: We evaluated the safety and efficacy of edoxaban monotherapy in the LDL-R−/− pig model with human-like unstable coronary plaques induced by a high-cholesterol, high-fat diet. …”
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Compressive strength prediction of fly ash/slag-based geopolymer concrete using EBA-optimised chemistry-informed interpretable deep learning model by Yang Yu, Iman Munadhil Abbas Al-Damad, Stephen Foster, Ali Akbar Nezhad, Ailar Hajimohammadi

“…The model integrates key mix parameters such as material proportions, curing conditions, and the chemical composition of FA/GGBS binders, making it chemistry-informed. …”
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Interfacial Shear Properties of Red Clay and Polyurethane with Different Densities by Feng Cheng, Xinran Zhang, Qingwang Li

“…The test results show: The incorporation of polyurethane has a significant promoting effect on the interfacial shear strength, there is a linear positive correlation between the interfacial shear strength and the density of polyurethane; The shear strengths of the composites with densities of 0.2 g/cm³, 0.5 g/cm³, and 0.8 g/cm³ are 1.53 times, 1.60 times, and 2.24 times that of pure red clay respectively, the optimal polyurethane density is between 0.5 g/cm³–0.8 g/cm³; The bilinear finite element model can effectively simulate indoor shear tests, and the average error of the simulated shear strength result is within 9.4%, which provides an effective method for understanding the interfacial shear performance of the composite body.…”
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Multiobjective optimization of dielectric, thermal, and mechanical properties of inorganic glasses utilizing explainable machine learning and genetic algorithm by Jincheng Qin, Faqiang Zhang, Mingsheng Ma, Yongxiang Li, Zhifu Liu

“…By integrating domain knowledge with model‐agnostic interpretation methods, feature contributions and interactions were analyzed. …”
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Optimization design of structural parameters of fan diaphragm coupling under the high torque by SUN Jiaxin, CAI Anwen, HU Weihui, DU Jing, SUN Weiwei, QIN Zhongzheng

“…Therefore, a parameterized model of fan couplings was established through finite element analysis software Abaqus to explore the mechanical performance of nonlinear structures of fan diaphragm couplings under high torque and large deformation conditions.MethodsThe reliability of the simulation results was verified by analyzing the finite element stress results of the global model of the fan coupling. …”
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MCCA-VNet: A Vit-Based Deep Learning Approach for Micro-Expression Recognition Based on Facial Coding by Dehao Zhang, Tao Zhang, Haijiang Sun, Yanhui Tang, Qiaoyuan Liu

“…In the past few years, deep learning methods based on optical flow and Transformer have achieved excellent results in this field, but most of the current algorithms are mainly concentrated on establishing a serialized token through the self-attention model, and they do not take into account the spatial relationship between facial landmarks. …”
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GLIHamba: global–local context image harmonization based on Mamba by Jinsheng SUN, Jiao PAN, Yu GUO, Chao YAO

“…Pixel-wise matching methods utilize convolutional encoder-decoder models to learn the transformations from background to foreground pixel features. …”
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A Natural Language Processing Environment for Rule-Based Decision Making with Neutrosophic Logic to Manage Uncertainty and Ambiguity by A.A. Salama, Huda E. Khalid, Ahmed K. Essa, Nadheer M. Ahmed

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Quantum chemical study on the interaction of carbon nanotube with polyethylene and polypropylene oligomers by M. I. Terets, E. M. Demianenko, S. V. Zhuravsky, O. A. Сhernyuk, V. S. Kuts, A. G. Grebenyuk, Yu. I. Sementsov, L. M. Kokhtych, M. T. Kartel

“…In order to take into account the dimensional effect of the surface of the nanotube fragment model on the interaction energy, in addition to the above described, two larger models were used, with the general formula C54H18 and C96H24. …”
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