Agrifood systems' resilience for sustainable food security amid geopolitical tensions: a systematic literature review by Ally Mkumbukiy, Ally Mkumbukiy, Taha Loghmani-Khouzani, Taha Loghmani-Khouzani, Kaveh Madani, Kaveh Madani, Edeltraud Guenther, Edeltraud Guenther

“…Much research focuses on agrifood systems' resilience in the context of climate change and pandemics, repeatedly overlooking the impacts of geopolitical tensions and related policies enacted for sustainable food security.MethodsFocused on geopolitical tension as an influence on food security, 76 articles were systematically reviewed to identify key resilience elements and scenarios enacted based on countries' development, discovered major vulnerability indicators, and Resource Nexus of agrifood systems.ResultsThis review leads to the identification of four key resilience scenarios of the agrifood system amid geopolitical tensions: fragility reduction, robustness building, adaptive strategies, and transformative change over time. …”
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Response Characteristics and Influencing Factors of the Ecological Stoichiometry of Soil Carbon, Nitrogen and Phosphorus to Conversion of Orchards into Farmlands on the Loess Table... by LIU Ruhua, MA Yali, CUI Erliang, QIAO Jiangbo, JIA Xiaoxu, ZHU Yuanjun, SHAO Mingan

“…In order to study the response characteristics of the ecological stoichiometric ratios to conversion of orchards into farmlands. ［Methods］ Farmlands of 0 year (30 years orchard), 1 year, 3 years and 5 years old was selected as the research objects in this study, with farmlands cultivated with food crops set as the control group (CK). …”
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Artistic Documentary in the Context of Cultural Dialogue and the Expression of a New Nature of Historical Self-knowledge by S.R. Gevorgyan, V.S. Karapetyan, M.M. Ispiryan, A.V. Galstyan, A.G. Marianna, Ye.Zh. Mnatsakanyan, S.A. Margaryan

“…The study employs comparative and contrast methods to examine human-nature relationships, utilizing linguistic hermeneutics to analyze literary works and their original sources. …”
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Effect of the exposure to brominated flame retardants on hyperuricemia using interpretable machine learning algorithms based on the SHAP methodology. by Yu Cai, Xi-Ru Huang, Sheng-Jia Wang, Ying-Chao Liang, De-Liang Liu, Shu-Fang Chu, Hui-Lin Li

“…<h4>Background</h4>Brominated flame retardants (BFRs) are classified as important endocrine disruptors and persistent organic pollutants; nevertheless, there is no comprehensive investigation to evaluate the association between BFRs and hyperuricemia, and the available studies related to this field are exceptionally scarce.<h4>Methods</h4>For this study, we enrolled 3,812 individuals from NHANES 2005-2016, with nine different types of BFRs serving as the exposure. …”
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Conveyor belt deviation identification algorithm based on anchor point positioning and cross-layer correction by Zhe WANG, Zhe FU, Pengjun CAO, Qing LI, Gaoxiang ZHANG

“…To address the problems of information loss and inaccurate extraction of conveyor belt edge lines in the traditional convolutional neural network (CNN) methods for conveyor belt edge line detection due to the difficulty in constructing long-distance dependency relationships between pixels, a conveyor belt deviation recognition algorithm based on the DETR (Detection Transformer) encoder-decoder network structure with anchor point positioning and cross-layer correction is proposed. …”
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Towards a net-zero healthcare system in Kenya: Stakeholder perspectives on opportunities, challenges and priorities by Iris Martine Blom, Melvine Anyango Otieno, Susannah Mayhew, Neil Spicer, Andy Haines, Sarah Whitmee

“…To turn these ambitious commitments into outcomes and share learnings with other nations, a comprehensive assessment of the perspectives of key stakeholders likely to be involved in implementing the transition of the healthcare system is needed. Methods: This study employs qualitative methods, including 21 semi-structured interviews with key stakeholders and a Delphi consensus process, to explore stakeholder perspectives on Kenya's journey to a net-zero healthcare system. …”
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A machine learning approach for multimodal data fusion for survival prediction in cancer patients by Nikolaos Nikolaou, Domingo Salazar, Harish RaviPrakash, Miguel Gonçalves, Rob Mulla, Nikolay Burlutskiy, Natasha Markuzon, Etai Jacob

“…Abstract Technological advancements of the past decade have transformed cancer research, improving patient survival predictions through genotyping and multimodal data analysis. …”
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Effect of Storage Period on Platelet Count and Erythrocyte Morphology in Whole Blood Bags by Jessica Juan PRAMUDITA, Bagoes WIDJANARKO, Munadi MUNADI, Ari SUWONDO

“…Platelets and erythrocytes undergo transformation during storage, which may cause them to become inactive or non-functional. …”
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ABSOLUTIVE VERBS AS A SUBSTRATE OF FORMAL-GRAMMATICAL AND SEMANTIC SYNTACTICAL STRUCTURES OF UNEXTENDED SENTENCES by Liudmyla V. Suprun, Volodymуr M. Suprun

“…In research we use the methods of linguistic analysis, they are descriptive (in considering the phenomena of one level), comparative (analyzing the components of different levels to identify interlevel relationships), statistical calculations and quantitative characteristics, interpretive analysis (interpretation of semantics of certain syntactic units), transformation (transformation of a certain syntactic structure in order to characterize it). …”
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Screening and identification of evaluation indicators of low phosphorus tolerant germplasm in Gleditsia sinensis Lam. by Chunyun Lu, Xiurong Wang, Yang Zhao, Rong Zou, Feng Xiao

“…The fuzzy comprehensive evaluation method calculated a comprehensive evaluation value (D value), enabling the screening of Gleditsia sinensis families into low P tolerant and low P sensitive types. …”
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Improvement of the Physical and Mechanical Properties of the Cutting Tool by Applying Wear-resistant Coatings Based on Ti, Al, Si, and N by Hovorun T., Khaniukov K., Varakin V., Pererva V., Vorobiov S., Burlaka А., Khvostenko R.

“…Mechanisms of strengthening the wear-resistant coating for materials have been analyzed under the impact of technological parameters of coating condensation process on its structure parameters and mechanical properties, formation of single and multi-element coatings based on titanium nitrides, aluminum, and silicon, the transformation of coating properties by obtaining complex coatings, and principles formation of complex coatings designed for different cutting tools. …”
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Applicability of Technological Tools for Digital Agriculture with a Focus on Estimating the Nutritional Status of Plants by Bianca Cavalcante da Silva, Renato de Mello Prado, Cid Naudi Silva Campos, Fábio Henrique Rojo Baio, Larissa Pereira Ribeiro Teodoro, Paulo Eduardo Teodoro, Dthenifer Cordeiro Santana

“…To ensure the effectiveness of spectral reflectance-based diagnostics, it is essential to conduct additional studies in commercial fields across different regions. These studies are crucial to confirm the accuracy of these methods and to strengthen the development of digital and precision agriculture.…”
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Bioequivalence assessment of the two brands of glimepiride tablets by Jovanović Dušan, Stojšić Dragan, Zlatković Milica, Jović-Stošić Jasmina, Jovanović Miodrag

“…Since all the parametric 90% confidence intervals for the log-transformed main variables of glimepiride were within the 0.80 and 1.25 interval, accepted as the definition of bioequivalence, and the differences in times to reach maximal concentration also did not reach statistical significance, studied tablets were considered bioequivalent.…”
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Cotton Weed-YOLO: A Lightweight and Highly Accurate Cotton Weed Identification Model for Precision Agriculture by Jinghuan Hu, He Gong, Shijun Li, Ye Mu, Ying Guo, Yu Sun, Tianli Hu, Yu Bao

“…The experimental results show that the CW-YOLO model outperforms existing methods in terms of detection accuracy and speed. …”
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Unequal Access, Unequal Impact? The Role of Open Access Policies in Publishing and Citation Trends Across Three Countries by Shlomit Hadad, Daphne R. Raban, Noa Aharony

“…This bibliometric study investigates Open Access (OA) publication and citation trends in Austria, Israel, and Mexico from 2010 to 2020—three countries with comparable research output but differing OA infrastructures. (1) Background: The study examines how national OA policies, funding mechanisms, and transformative agreements (TAs) shape publication and citation patterns across disciplines. (2) Methods: Using Scopus data, the analysis focuses on four broad subject areas (health, physical, life, and social sciences), applying both three-way ANOVA and a Weighted OA Citation Impact index that adjusts citation shares based on the proportional representation of each subject area in national research output. …”
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Characteristics of the Static Zigzag-Triangle Frequency Converter by Kalinin L.P., Zaitsev D.A., Tirsu M.S., Golub I.V., Pogorletsky V.M., Kaloshin D.N

“…The object of research is a static transformer frequency converter, which can be used to combine parallel-operating power systems having different operating frequencies. …”
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Comparative analysis of deep learning approaches for forest stand type classification: insights from the new VHRTreeSpecies benchmark dataset by Elif Sertel, Sule Nur Topgul

“…Remotely sensed data are widely used for forest stand type classification; however, traditional classification methods are time consuming and mostly implemented for spatially limited areas and species, restricting the transferability of these models to other locations and diverse species. …”
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Understanding Social Biases in Large Language Models by Ojasvi Gupta, Stefano Marrone, Francesco Gargiulo, Rajesh Jaiswal, Lidia Marassi

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Digital Twin: A Step Towards Smart Cities in Urban Planning, Design and Management by Farshad Shariatpour, Mostafa Behzadfar

“…Most of the tools and methods available in the field of urbanism are based on static approaches and involve a limited number of stakeholders in relevant decisions. …”
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Should Recovery Strategies Be Reuse or Recycling Based? A Case Study on Discarded Electronics in Melbourne, Australia by Hans Ronald Krikke, Mark Sayers, Lizzie Smith

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