Evaluation of agriculture land transformations with socio-economic influences on wheat demand and supply for food sustainability by Danish Raza, Hong Shu, Muhsan Ehsan, Hong Fan, Kamal Abdelrahman, Hasnat Aslam, Abdul Quddoos, Rana Waqar Aslam, Majid Nazeer, Mohammed S. Fnais, Azeem Sardar

“…First, by incorporating more than three decades of satellite data (1990–2022) and different Landsat missions with machine learning algorithms, high-confidence classes were defined for different land features, including cropland. …”
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Agricultural consumer Internet of Things devices: Methods for optimizing data aggregation by Hanan Abdullah Mengash, Hany Mahgoub, Asma Alshuhail, Abdulbasit A. Darem, Jihen Majdoubi, Ayman Yafoz, Raed Alsini, Omar Alghushairy

“…If farmers optimise their operations with the help of a Wireless Sensor Network (WSN), they will be able to work much more efficiently and effectively. Data aggregation involves collecting information from multiple sensors. …”
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The Impact of IoT Usage on Big Data Analytics and Supply Chain Integration by Çiğdem Şemsettin, Yildiz Bülent, Meidute-Kavaliauskiene Ieva, Cincikaite Renata

“…Additionally, IoT devices facilitate communication and collaboration between different supply chain components. Suppliers, manufacturers, distributors, and retailers can share real-time data to coordinate operations and respond quickly and efficiently to changes. …”
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Identifying the effectiveness of face mask in a large population with a network-based fluid model. by Akshay Anand, Kourosh Shoele

“…In this study, a new semi-analytical flow network model based on the Kármán-Pohlhausen technique is introduced and utilized to efficiently assess mask performance across diverse facial features that represent the observed variations inside a large population. …”
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The Role of Sequencing Economics in Agglomeration: A Contrast with Tinbergen’s Rule by Akifumi Kuchiki

“…An agglomeration is organized into segments, and sequencing economics examines the sequential process of efficiently building such segments. The functions (C) of the segments act as a master switch, an accelerator, a brake, etc. in the implementation of agglomeration policy. …”
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Experimental Study on Ice Slurry System Based on Modular Super-cooling Releasing Device by Zhuang Kunyu, Liu Xi, Yao Wei, Fu Ruansong, Wang Zhiqiang, Li Xuelai

“…Dynamic ice-making technologies with super-cooled water can produce ice slurry efficiently; however, the prominent problem in the stability of this method is that ice blocking easily takes place in the super-cooling heat exchanger. …”
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Robust Abnormal Event Recognition via Motion and Shape Analysis at ATM Installations by Vikas Tripathi, Durgaprasad Gangodkar, Vivek Latta, Ankush Mittal

“…In this paper, we propose a video based framework that efficiently identifies abnormal activities happening at the ATM installations and generates an alarm during any untoward incidence. …”
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Effects of Foliar Fertilization on Nutrient Uptake, Yield, and Fruit Quality of Pomelo (Citrus grandis Osbeck) Grown in the Mekong Delta Soils by Le Van Dang, Ngo Phuong Ngoc, Ngo Ngoc Hung

“…It also enhances nutrient use efficiencies, especially under limited soil fertility or restricted environmental conditions. …”
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A deep neural network with attention mechanism for flow prediction of compressor blade by Guanyu Gao, Gang Wang

“…Motivated by this tricky issue, a convolutional neural network (CNN) based on U-Net architecture with attention mechanism (AM) is proposed to efficiently learn flow representations from CFD results to shorten the compressor blade design cycle. …”
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Simulation of oat development cycle by photoperiod and temperature by Rubia D. Mantai, José A. G. da Silva, Anderson Marolli, Ângela T. W. de Mamann, Sandro Sawicki, Cleusa A. M. B. Krüger

“…The intermediate-cycle oat development was efficiently simulated by the WE-Streck model using coefficients developed for wheat, with vegetative and reproductive cycles estimated at 89 and 43 days, respectively.…”
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Biosynthesis, Characterization, Adsorption and Antimicrobial studies of Manganese oxide Nanoparticles Using Punica Granatum Extract by Angham Tariq Ali, Lekaa K. Abdul Karem

“…Co, Ni, and Cu ion removal efficiencies were 32.79%, 75.00%, and 30.20%, respectively. …”
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Effects of Experimental Conditions on Extraction Yield of Extracellular Polymeric Substances by Cation Exchange Resin by Jinwoo Cho, Slawomir W. Hermanowicz, Jin Hur

“…Based on the model, the maximum amount of EPS extraction and yield rate could be estimated for different conditions. Comparing the model parameters allows one to quantitatively compare the extraction efficiencies under various extracting conditions. …”
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Validity of the Shear Panel Theory as a Reduced Modelling Approach by Moritz Bäß, Kai-Uwe Schröder

“…Before FEM became established, the shear panel theory was used to calculate thin-walled structures efficiently. While numerical finite element formulations of the shear panel theory have been compared to analytical solutions only, there has been limited review of the validity of the underlying assumptions and accuracy of the analytical model itself. …”
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The Potential Role of miRNAs as New Biomarkers for Osteoporosis by Maria Materozzi, Daniela Merlotti, Luigi Gennari, Simone Bianciardi

“…Therefore, the need of markers that could efficiently diagnose bone fragility and osteoporosis is still necessary. …”
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Valence Bond Insights into the H-Abstraction Barrier in Cytochrome P450 by Enhua Zhang, Hajime Hirao

“…We employed ab initio VB calculations to investigate the hydrogen abstraction (H-abstraction) barrier in cytochrome P450 enzymes (P450s), using a simplified model in which an oriented external electric field (OEEF) was applied to efficiently capture the electronic effects of the equatorial porphyrin and proximal thiolate ligands on the iron(IV)–oxo unit in compound I (Cpd I). …”
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Bearing fault diagnosis based on improved DenseNet for chemical equipment by Wu Huiyong, Jiang Kuan, Wang Yanyu

“…Through its Self-Attention mechanism, Transformer efficiently captures the global relationships within the sequence, improving the model’s ability to handle complex temporal dependencies. …”
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Evaluating the role of prosumers in providing energy systems with flexibility products by Amir Esmaeili‐Nezhad, Sara Ostovar, Moein Moeini‐Aghtaie

“…The results obtained from the implementation of the case study validate the major features of the proposed framework more efficiently.…”
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An Intention-Aware Agent Framework for Multi-Agent Decentralized Partially Observable Environments by Bhaskar Trivedi, Manfred Huber

“…To do this successfully, they have to infer their intentions and choose actions that complement the predicted actions of their collaborators to perform the task efficiently. Since the peer’s state and action are generally not directly observable, these are usually estimated based on environmental change and then used to predict the intention. …”
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Balancing the Demands of Older People and Care Services of Healthy Aging: Assessment and Positioning of Care Facilities by Kai Zhang, Dan Li, Xiaoting Cheng

“…Governments can allocate resources efficiently and promote healthy aging.…”
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Study on Sub-Regional Weighted Mean Atmospheric Temperature Modeling and Its Application in China by GAO Deheng, ZHANG Wei, SHEN Qinghua

“…,the number of sounding observation layers and the ceiling height,and the accuracy of weighted mean atmospheric temperature (T_m).Considering only one factor,the root-mean-square (RMS) between the calculated T_m using resampled and the measured one is about 1 K when the ceiling height is beyond 9 km,or the number of observation layers is beyond thirteen.Then,given the distribution of the actual ceiling height and the number of layers of samples,radiosonde observations with the ceiling height of over 9 km and the number of observation layers greater than eight are applied to build a national and a sub-regional regression model,respectively.In this way,the impact of inconsistent applicability of the national model in different regions is efficiently reduced,and the RMS of fitting residue declines by 17.8%on average.Finally,we apply the sub-regional model to retrieve the time series of precipitable water vapor (PWV) and compare them with contemporaneous PWV data observed by radiosondes.…”
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