Enhancing Meteorological Insights: A Study of Uncertainty in CALMET by Nina Miklavčič, Rudi Vončina, Maja Ivanovski

“…By improving the interpretation of data, refining measurement methods, and integrating advanced models, the study proposes ways to reduce uncertainty. …”
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KAJIAN AGROINDUSTRI UNGGULAN WILAYAH PESISIR KOTA BENGKULU by Bonodikun Bonodikun, Putri Suci Asriani, Ellys Yuliarti

“…The wide variety of resources will determine variations agroindustrial commodities. This study will identify leading agro-industry coastal areas with potential priority approach coastal resources and the efficiency of application of processing technology has been used. …”
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Influence of Thoracolumbar Mobility on Running Performance: A Comparative Study by Kübra Sarıoğlu, Volga Bayrakcı Tunay

“…Our study aims to investigate whether prolonged engagement in running could result in distinct variations in thoracolumbar mobility and kinematic efficiency among individuals with varying levels of running experience. …”
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IR-ADMDet: An Anisotropic Dynamic-Aware Multi-Scale Network for Infrared Small Target Detection by Ning Li, Daozhi Wei

“…This performance is achieved with significantly fewer parameters, only 5.77 M, compared to existing methods. This shows remarkable robustness in low-contrast, high-noise scenarios. …”
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Assessment of sand nourishment dynamics under repeated storm impact supported by machine learning-based analysis of UAV data by Jan Tiede, Joshua Leon Lovell, Christian Jordan, Armin Moghimi, Torsten Schlurmann

“…In particular, these methods efficiently capture subtle variations in coastline orientation, wave incidence angles, and resulting alongshore beach dynamics, offering valuable insights for optimizing nourishment strategies. …”
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Solution-processed room temperature nickel oxide hole transport layer for perovskite solar cells

“…The perovskite active layer can be processed by wet coating methods and thermal treatments at much lower temperatures. …”
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Thermometry with embedded SI traceability for industrial applications by Pearce Jonathan, Kjeldsen Henrik, Nielsen Jan, Müller Ingmar, Krause Christian, Sutton Gavin, Fateev Alexander, Andreu Aurik

“…Most industrial processes rely on temperature measurement, which directly influences product quality, energy efficiency, process optimization and emissions. The European Partnership on Metrology project “Thermometry with embedded SI traceability for industrial applications (ThermoSI)” is a 3-year research and development project (late 2024 – late 2027) which will overcome some specific process control challenges (calibration drift, surface thermometry, dynamic gas temperature variations) by implementing embedded traceable thermometry in situ through driftless practical primary thermometry and self-validation, hot gas temperature measurement, and new traceable surface temperature measurement methods. …”
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Study on the construction of multi-level protection system for non-emergency transfer under the perspective of structuring by Wei Liu, Ruiqiang Chen

“…This system faces various challenges, including displacement of emergency capacity by non-emergency demands, uneven allocation of transfer resources, service quality variations, inadequate management structures, limited regulatory frameworks, and social acceptance issues.MethodsLeveraging structural theory, this study analyzes the primary issues in the current implementation of China’s non-emergency transfer security system. …”
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On the reliability of image analysis for bubble size distribution measurements in electrolyte solutions in stirred reactors by Federico Alberini, Francesco Nerini, Niccolò Mandolini, Francesco Maluta, Alessandro Paglianti, Nicodemo Di Pasquale, Giuseppina Montante

“…Bubble size significantly influences mass transfer rates and process efficiency, necessitating accurate measurement methods. …”
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Predicting Heat Treatment Duration for Pest Control Using Machine Learning on a Large-Scale Dataset by Stavros Rossos, Paraskevi Agrafioti, Vasilis Sotiroudas, Christos G. Athanassiou, Efstathios Kaloudis

“…Pest control in industrial buildings, such as silos and storage facilities, is critical for maintaining food safety and economic stability. Traditional methods like fumigation face challenges, including insect resistance and environmental concerns, prompting the need for alternative approaches. …”
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Analyzing the Effect of Drainage on the Stability of Tailings Dams Using the Interpretation of Cross-Correlations by Moustafa Hamze-Guilart, Lineu Azuaga Ayres da Silva, Anna Luiza Marques Ayres da Silva, Maria Eugenia Gimenez Boscov

“…By applying time series analysis methods to the instrumentation data, including autocorrelation and cross-correlation functions, this study identifies patterns in drainage efficiency and its impact on stability. …”
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Study on the Characteristics of CO₂ Displacing Non-Newtonian Fluids by Yu-Ting Wu, Sung-Ki Lyu, Zhen Qin, Yanjun Qin, Hua Qiao, Bing Li

“…CO₂ displacement is a key technique that was examined through numerical methods in a 3D Hele–Shaw cell, with CO₂ as the displacing phase and shear-thinning fluids as the displaced phase. …”
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Advancements in image classification for environmental monitoring using AI by Jinjing Zhu, Ling Li

“…AETS employs dynamic data augmentation to simulate real-world variations, domain-specific regularization to enhance feature consistency, and feedback-driven optimization to iteratively refine the model‘s performance based on real-time evaluation metrics.ResultsExtensive experiments conducted on multiple benchmark datasets demonstrate that MABEC-Net, in conjunction with AETS, significantly outperforms state-of-the-art models in terms of classification accuracy, robustness to domain shifts, and computational efficiency. …”
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Exploration of chemical reaction and activation energy role of Jeffery-Hamel Jeffery fluid flow in penetrable non-parallel channels with entropy optimization by Laiq Zada, Ikram Ullah, Saeed Islam, Rashid Nawaz, Assmaa Abd-Elmonem, Fayza Abdel Aziz El Seabee, Hijaz Ahmad

“…These insights are crucial for optimizing channel design in non-Newtonian fluid applications, aiding in the control of concentration gradients, management of temperature variations, and overall improvement in efficiency. Numerical computations of the proposed model were performed using the BVP4c scheme.…”
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Aerodynamic performance enhancement of centrifugal compressor using numerical techniques [version 1; peer review: 2 approved] by Srinivas G, Shivani S, Amar Murthy A

“…Methods The primary objective of this research is to comprehensively investigate and improve the aerodynamic performance of centrifugal compressors. …”
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Air Quality and Healthy Ageing: Predictive Modeling of Pollutants Using CNN Quantum-LSTM by Fareena Naz, Muhammad Fahim, Adnan Ahmad Cheema, Bradley D. E. Mcniven, Tuan-Vu Cao, Ruth Hunter, Trung Q. Duong

“…In this work, we proposed a hybrid model referred as AirVCQnet, which combines the variational mode decomposition (VMD) method with a convolutional neural network (CNN) and a quantum long short-term memory (QLSTM) network for the prediction of air pollutants. …”
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Research on control strategies for low-pressure components in integrated thermal management systems based on optimal coefficient of performance by Rongjiang Tang, Lei Guan, Cheng Xu, Yanhong Wei, Xianming Meng, Bin Jia, Shuhan Wen

“…To enhance the driving range of electric vehicles, it is crucial to reduce the thermal management system's energy consumption and improve its efficiency. This research investigates the performance variations of thermal management systems under different operating conditions of low-pressure components (fans, blowers and pumps) to enhance COP (coefficient of performance) and decrease energy consumption. …”
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Hybrid fuzzy logic approach for enhanced MPPT control in PV systems by Mustapha Melhaoui, Mohammed Rhiat, Mohammed Oukili, Ilias Atmane, Kamal Hirech, Badre Bossoufi, Mishari Metab Almalki, Thamer A. H. Alghamdi, Mohammed Alenezi

“…The performance of the proposed algorithm, in comparison to other hybrid FLC methods, is evaluated through simulations using a boost converter under dynamic conditions, including abrupt irradiance changes and load variations. …”
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Serine synthesis pathway regulates cardiac differentiation from human pluripotent stem cells by Tomohiko C. Umei, Shugo Tohyama, Yuika Morita-Umei, Manami Katoh, Seitaro Nomura, Kotaro Haga, Takako Hishiki, Tomomi Matsuura, Hidenori Tani, Yusuke Soma, Otoya Sekine, Masatoshi Ohno, Masashi Nakamura, Taijun Moriwaki, Yoshikazu Kishino, Keiichi Fukuda, Masaki Ieda

“…Summary: Human pluripotent stem cell-derived cardiomyocyte (hPSC-CM) differentiation can improve using chemical compounds which mimic early heart development. However, variations in hPSC-CM differentiation efficiency and its poor reproducibility have remained a challenge. …”
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Effects of Ultrasonic-Assisted Application of Yeast Extract and Trehalose on Mass Transfer Kinetics and Quality Characteristics during Low-Salt Curing of Pork by ZHANG Xiaoming, LÜ Yanchi, SHANG Lei, SUN Jingyi, XU Yujuan, LI Cong, ZHOU Hui, XU Baocai

“…Controlled experiments were designed to investigate variations in the sodium chloride (NaCl) content, moisture content, color parameters, water distribution, and cooking loss rate of pork under different curing methods. …”
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