Phenotypic Associations Between Linearly Scored Traits and Sport Horse Auction Sales Price in Ireland by Alison F. Corbally, Finbar J. Mulligan, Torres Sweeney, Alan G. Fahey

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Eco-friendly extraction technologies: A comprehensive review of modern green analytical methods by Binoy Varghese Cheriyan, Karthik K Karunakar, Ragavendran Anandakumar, Akshaya Murugathirumal, Abinaya Senthil kumar

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Studies on in-flight aircraft rerouting by M. A. Kiselev, Yu. S. Kalyuzhny, A. V. Karpov, S. F. Borodkin

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Priority areas of police bodies’ activity in ensuring the citizens’ rights in the conditions of martial law legal regime in Ukraine by O. I. Bezpalova

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Comprehensive Feature-Driven PCOS Predictor: A Reinforcement Learning-Based Binary Equilibrium Optimization Approach by S. Reka, T. Suriya Praba, Krishna Kumar Manchala, Anna Venkateswarlu

“…Here, RL uses SARSA (State–Action–Reward–State–Action) to increase the population diversity in the search space, to avoid the problem of local optima, finally balances the exploration capability during the search. …”
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Lean Service Waste Classification and Methodological Application in a Case Study by Giuseppe Converso, Guido Guizzi, Emma Salatiello, Silvestro Vespoli

“…By examining their individual and combined applicability, this research provides actionable insights for selecting methodologies based on specific objectives, time constraints, and resources. …”
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Advancing Regional Adaptation and Nitrogen Stress Resilience Through Integrative Phenotyping of Watkins Wheat Landraces via Source–Sink Dynamics by Abdul Waheed, Muhammad Shahid Iqbal, Zareen Sarfraz, Yanping Wei, Junliang Hou, Sixing Li, Bo Song, Shifeng Cheng

“…By bridging gene bank conservation with a systems-level understanding of crop evolution, this study provides actionable insights and a robust framework for breeding climate-resilient wheat varieties. …”
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Augmenting cybersecurity through attention based stacked autoencoder with optimization algorithm for detection and mitigation of attacks on IoT assisted networks by Kashi Sai Prasad, E. Laxmi Lydia, M. V. Rajesh, K. Radhika, Janjhyam Venkata Naga Ramesh, N. Neelima, Srinivasa Rao Pokuri

“…Abstract The Internet of Things (IoT) network is a fast-growing technology, which is efficiently used in various applications. In an IoT network, the massive amount of connecting nodes is the existence of day-to-day communication challenges. …”
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Energy Transition Reality Check: Are Municipalities Meeting the Mark? by Dolge Kristiana, Vicmane Laura Kristiana, Bohvalovs Girts, Blumberga Dagnija

“…Using a benchmarking approach, the main challenges and opportunities of energy transition in the selected municipalities were identified, which could be used as signals in developing concrete municipal sustainability action plans.…”
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Assessment of the Effectiveness of the European Union Countries Transition to a Circular Economy: Data Envelopment Analysis by Zh. S. Temerbulatova, A. Zhidebekkyzy, M. Grabowska

“…The study results showed that as of 2019, 40,74% of European countries have high efficiency in the advancement of circular economy, 40,74% - sufficient, 11,11% - medium and 7.41% - low efficiency. …”
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Assessing Model Trade-Offs in Agricultural Remote Sensing: A Review of Machine Learning and Deep Learning Approaches Using Almond Crop Mapping by Mashoukur Rahaman, Jane Southworth, Yixin Wen, David Keellings

“…This paper underscores the need for a balanced approach in model selection—one that weighs accuracy alongside efficiency. …”
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Empirical Evaluation of TLS-Enhanced MQTT on IoT Devices for V2X Use Cases by Nikolaos Orestis Gavriilidis, Spyros T. Halkidis, Sophia Petridou

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Energy Management Systems in Higher Education Institutions’ Buildings by Enrique C. Quispe, Miguel Viveros Mira, Mauricio Chamorro Díaz, Rosaura Castrillón Mendoza, Juan R. Vidal Medina

“…From 2310 articles, 136 articles and 5 technical reports related to EnMS and energy efficiency were selected and analyzed. A synthesis of the major actions taken by HEIs to enhance their energy performance is presented, including energy management strategies, methods for measuring and estimating consumption, occupant behavior models that influence energy use, barriers to energy efficiency in HEIs buildings, and future challenges. …”
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從工具示能性與關係行動主體之觀點 探討偏鄉教育系統賦能策略之研究 Investigating the Construction of Empowerment Action Models in Remote Educational Systems Through the Lenses of Tool Affordance and Relational Age... by 陳佩英 Peiying Chen, 洪琴雯 Chin-Wen Hung

“…Recruiting and assigning cooperative partners and tool creation were important to boost the capacity building, which ensured that the in-school empowerment workshops aligned with action goals. Tool-Induced Team Learning and Action The second part uses three tools introduced by Chin - interdisciplinary curriculum design tools, wave analysis, and an action planning toolset– to illustrate how tool affordance triggered inquiry and its effects within the team. …”
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Assessment of Hull and Propeller Degradation Due to Biofouling Using Tree-Based Models by Nikos Themelis, George Nikolaidis, Vasilios Zagkas

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Thermal performance comparison of aluminum and iron alloys in heat exchangers for solar water heating systems: Experimental study under Iraqi climate conditions by Emad Jaleel Mahdi, Hussein Fawzi Hussein, Farqad Rasheed Saeed

“…Fan integration further improves Al’s efficiency by 15 %, reaching 82 % thermal efficiency despite a marginal 5–8 % energy penalty. …”
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Designs and characteristics of agri-environmental measures by Tanja ŠUMRADA, Emil ERJAVEC

“…The purpose of this paper is to outline a typology of possible AEM in terms of the basis for payments, coordination of actions and selection of beneficiaries. Furthermore, the paper provides an overview of the applicability and implementation of particular measures in practice, which is based on a literature review and an analysis of measures in the EU and EFTA Member States. …”
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Application of Decision-Making Support Model in the Operations Planning Process at the Tactical Level by Marko Radovanović, Miša Živković, Marko Crnogorac

“…Suggested model applies methods of multi-criteria decision-making – DIBR II (Defining Interrelationships Between Ranked Criteria II) and EDAS (Evaluation based on Distance from Average Solution) in order to decrease subjectivity while evaluating and ranking criteria, but also to select the most optimal course of action (COA). DIBR II method is used for the evaluation and determination of criteria coefficients, while the EDAS method enables choice between the most optimal COA. …”
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The evolutionary game equilibrium theory on power market bidding involving renewable energy companies by Lefeng Cheng, Pan Peng, Wentian Lu, Jian Sun, Fan Wu, Mingming Shi, Xiaodong Yuan, Yang Chen

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ExAutoGP: Enhancing Genomic Prediction Stability and Interpretability with Automated Machine Learning and SHAP by Yao Rao, Lilian Zhang, Lutao Gao, Shuran Wang, Linnan Yang

“…This study demonstrates the strong potential of AutoML in genomic prediction, while the introduction of SHAP provides actionable biological insights. The synergy of high prediction accuracy and interpretability offers new perspectives for optimizing genomic selection strategies in livestock and poultry breeding.…”
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