Process-based modeling framework for sustainable irrigation management at the regional scale: integrating rice production, water use, and greenhouse gas emissions by Y. Bo, H. Liang, T. Li, F. Zhou, F. Zhou, F. Zhou

“…Overall, this study provides a valuable tool for multi-objective optimization of rice irrigation schemes at a large scale. …”
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A simple simultaneous envelope/system optimization for energy efficiency improvement in near-zero energy buildings by Martín Muñoz-Salcedo, José L. Saquinaula-Brito, Jhonny Ortíz-Mata, Fernando Peci-López

“…This integrated optimization model provides a practical decision-making tool for evaluating cost-effectiveness and energy performance under evolving market and climate conditions.…”
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A Novel Hybrid Deep Learning Model Based on Simulated Annealing and Cuckoo Search Algorithms for Automatic Radiomics-Based COVID-19 Diagnosis by Basma Jumaa Saleh, Zaid Omar, Muhammad Amir As’ari, Vikrant Bhateja, Lila Iznita Izhar

“…Automated segmentation of COVID-19 lung computed tomography (CT) scans is a crucial diagnostic tool that aids physicians in providing accurate and timely diagnoses, as it contains significant radiomics information. …”
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Evaluation of Ecosystem Service Capacity Using the Integrated Ecosystem Services Index at Optimal Scale in Central Yunnan, China by Lanfang Liu, Jinliang Wang, Jie Li, Suling He, Yongcui Lan, Fang Liu

“…It also provides a comprehensive analytical tool for balancing land use competition and assessing the effectiveness of policy implementation.…”
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R package to estimate intracluster correlation coefficient for nominal and ordinal data by Hrishikesh Chakraborty, Nicole Solomon

“…Background and Objective: : The intracluster correlation coefficient (ICC) is a critical parameter to assess the degree of similarity or correlation between observations within the same cluster or group. …”
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Clinical symptom clusters, neurocognitive function, balance and vestibulo-ocular function in athletes with sport-related concussion by Claus Reinsberger, Lea Weike, Rebecca Reeschke

“…Clinical symptom clusters (headache/migraine, anxiety/mood, fatigue, cognitive, vestibular, ocular) were determined for each patient using the Sport Concussion Assessment Tool, 5th edition symptom evaluation. Independent t-tests or Mann-Whitney U tests were calculated to test for group differences in the whole cohort and according to clinical symptom clusters.Results When investigating the whole cohort, significant differences between patients with SRC and control subjects were found in one parameter of balance testing (sway velocity double-firm), with lower performance in the SRC group (p<0.001, r=0.345). …”
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An intelligent hybrid grey wolf-particle swarm optimizer for optimization in complex engineering design problem by Muhammad Suhail Shaikh, Haoyue Lin, Senlin Xie, Xiaoqing Dong, Yifan Lin, Chandan Kumar Shiva, Wulfran Fendzi Mbasso

“…This study highlights the effectiveness of HGWPSO as a powerful tool for solving complex engineering design problems.…”
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Improving urban intersection safety insights from simulation analysis by Chaiwat Yaibok, Piyapong Suwanno, Thaksakorn Pornbunyanon, Chollada Kanjanakul, Paramet Luathep, Atsushi Fukuda

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A Variable Structure Control Scheme Proposal for the Tokamak à Configuration Variable by Aitor Marco, Aitor J. Garrido, Stefano Coda, Izaskun Garrido, TCV Team

“…In this sense, since long pulse reactions are the key to produce net power, the use of robust and fast controllers arises as a useful tool to deal with the unpredictability and the small time constant of the plasma behavior. …”
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Ultrabroadband milliwatt-level resonant frequency doubling on a chip by Marco Clementi, Luca Zatti, Ji Zhou, Marco Liscidini, Camille-Sophie Brès

“…Abstract Microresonators are powerful tools to enhance the efficiency of second-order nonlinear optical processes, such as second-harmonic generation, which can coherently bridge octave-spaced spectral bands. …”
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A mixed method approach to integrate digitization and sustainability on German farms by Julius Brinken, Sebastian Trojahn, Fabian Behrendt

“…The agricultural sector faces increasing pressure to adopt sustainable practices amid rising regulatory complexity and environmental concerns. Digital tools offer substantial opportunities for optimizing agricultural logistics; however, practical adoption remains challenging due to regional specificities and implementation complexities. …”
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End-of-Life Prediction for Milling Cutters Based on an Online Vibro-Acoustic System by Michele Perrelli, Romina Conte, Gabriele Zangara, Francesco Gagliardi

“…Improving the capabilities of online condition monitoring systems, able to detect arising of catastrophic wear on cutting tools, has been an important target to be pursued for the metal cutting industry. …”
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Deep learning approaches for estimating maximum wall deflection in excavations with inconsistent clay stratigraphy by Vinh V. Le, HongGiang Nguyen, Nguyen Huu Ngu

“…This approach facilitates more accurate and efficient geotechnical design and provides engineers with improved tools for risk evaluation and decision-making in deep excavation projects.…”
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Data Rate Estimation for Wireless Core-to-Cache Communication in Multicore CPUs by Maria S. Komar, V. Petrov, K. Borunova, D. Moltchanov, E. Koucheryavy

“…The authors identify traffic measurements by using existing software tools as the most promising approach for traffic estimation, and they use Intel Performance Counter Monitor for this purpose. …”
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An Effective and Efficient Implementation of OBE Framework within Constrained Pakistani Environment to Attain Desired Learning Outcomes by Ashab Mirza, Saba Javed

“…However, some HEIs have not devised an effective CQI mechanism and they still using classical procedures and academic tools in implementation of the OBE Framework, which cannot give desired results from the new System. …”
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Enhancing climate action evaluation using artificial neural networks: An analysis of SDG 13 by Cosimo Magazzino, Zakaria Zoundi

“…The study optimizes the ANN's parameters through a grid search, ensuring robust and precise predictions. …”
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EGNAS: Efficient Graph Neural Architecture Search Through Evolutionary Algorithm by Younkyung Jwa, Chang Wook Ahn, Man-Je Kim

“…EGNAS incorporates inherited parameter sharing, allowing offspring to inherit parameters from their parents, and utilizes half epochs to improve optimization stability. …”
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Design Sensitivity Studies on a Hydroacoustic Projector Using an Experimentally Validated Easy-to-Build Model by Vattaparambil Sreedharan Sreejith, Nachiketa Tiwari

“…Second, there is a need for an integrated model of the projector based on easily available and user-friendly numerical tools which do not require development of complex customised mathematical analogs of projector components. …”
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Wearable devices for patient monitoring in the intensive care unit by Alessandra Angelucci, Massimiliano Greco, Maurizio Cecconi, Andrea Aliverti

“…WDs are also promising tools in applications like delirium detection, vital signs monitoring in limited resource settings, and prevention of hospital-acquired pressure injuries. …”
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Multi-Objective Optimization-Driven Research on Rural Residential Building Design in Inner Mongolia Region by Dezhi Zou, Cheng Sun, Denghui Gao

“…A parametric model was developed using Grasshopper, with energy consumption, thermal comfort (PPD), and Useful Daylight Illuminance (UDI) simulated through Ladybug and Honeybee tools. Key parameters analyzed include building morphology, envelope structures, and indoor thermal environments, followed by systematic optimization of building components. …”
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