Assessing Habitat Quality on Synergetic Land-Cover Dataset Across the Greater Mekong Subregion over the Last Four Decades by Shu’an Liu, Tianle Sun, Philippe Ciais, Huifang Zhang, Junjun Fang, Jingchun Fang, Tewekel Melese Gemechu, Baozhang Chen

“…The land cover analysis unveiled a noteworthy trend that surfaced in the dynamic interplay between forested areas and croplands, highlighting simultaneous processes of forest restoration and agricultural expansion, albeit at varying rates. …”
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Rice Leaf Disease Image Enhancement Based on Improved CycleGAN by YAN Congkuan, ZHU Dequan, MENG Fankai, YANG Yuqing, TANG Qixing, ZHANG Aifang, LIAO Juan

“…To address these challenges, a data augmentation method for rice leaf disease images was proposed based on an improved CycleGAN model in this reseach which aimed to expand disease image datasets by generating disease features, thereby alleviating the burden of collecting real disease data and providing more comprehensive and diverse data to support automatic rice disease recognition.MethodsThe proposed approach built upon the CycleGAN framework, with a key modification being the integration of a convolutional block attention module (CBAM) into the generator's residual module. …”
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Co-designing and pilot-testing an infographic to support the consent process in an adaptive platform trial for adults in ICU with community-acquired pneumonia or COVID-19: a mixed... by Heather K. O’Grady, Kathy Smith, Sandra Dalziel, Barbara Dolanjski, Gyan Sandhu, Marlene Santos, Jackie Bosch, Lyn S. Turkstra, Srinivas Murthy, John C. Marshall, Michelle E. Kho, for the Canadian Critical Care Trials Group

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Improving MRAM Performance with Sparse Modulation and Hamming Error Correction by Nam Le, Thien An Nguyen, Jong-Ho Lee, Jaejin Lee

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Deep learning-enabled exploration of global spectral features for photosynthetic capacity estimation by Xianzhi Deng, Xiaolong Hu, Liangsheng Shi, Chenye Su, Jinmin Li, Shuai Du, Shenji Li

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Predicting Health Spending in Turkey Using the GPR, SVR, and DT Models by Didem Güleryüz

“…Gross domestic product per capita, urban population rate, unemployment rate, population ages 65 and above, the life expectancy, the physicians’ rate, and the total number of hospital beds are used as inputs. …”
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Evaluation of influence of thermoplastic slurry flow conditions on heat transfer coefficient during beryllium ceramic formation by З. Сатинова, Б. Асилбеков, У. Жапбасбаев, Г. Рамазанова, Г. Сагындыкова

“…Methods of detailed description of casting processes and thermal calculations have been developed to ensure reliable correspondence of calculated data and experimental results implemented on the basis of calculational experiment. …”
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Experimental statistical analysis of radar signals reflected from weather hazards by E. S. Boyarenko, E. A. Bolelov, O. V. Vasiliev, S. S. Korotkov

“…The further development of the method to process meteorological information is also of paramount importance to more correctly interpretate experimental data processing results of remote meteorological phenomena sensing.…”
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Quantum-enhanced digital twin IoT for efficient healthcare task offloading by Ahmed K. Jameil, Hamed Al-Raweshidy

“…Empirical evaluations show that quantum preprocessing improved Task Offloading Success Rate (TOSR) by 32% and reduced the Error Rate (ER) by 80%, significantly outperforming traditional DT-based healthcare models. …”
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Application of Hardware and Software Complex for Individualisation of Students’ Sport and Recreational Physical Activities by O. N. Moskovchenko, L. V. Zakharova, N. V. Tretyakova, N. V. Lyulina, O. A. Kattsin, G. S. Savolaynen

“…The survey sampling and processing of experimental data were carried out by means of the hardware and software complex (HSC).Results and scientific novelty. …”
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Transmission scheduling scheme based on deep Q learning in wireless network by Jiang ZHU, Tingting WANG, Yonghui SONG, Yali LIU

“…To cope with the problem of data transmission in wireless networks,a deep Q learning based transmission scheduling scheme was proposed.The Markov decision process system model was formulated to describe the state transition of the system.The Q learning algorithm was adopted to learn and explore the system states transition information in the case of unknown system states transition probability to obtain the approximate optimal strategy of the schedule node.In addition,when the system state scale was big,the deep learning method was employed to map the relation between state and behavior to solve the problem of the large amount of computation and storage space in Q learning process.The simulation results show that the proposed scheme can approach the optimal strategy based on strategy iteration in terms of power consumption,throughput,packets loss rate.And the proposed scheme has a lower complexity,which can solve the problem of the curse of dimensionality.…”
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The study of the effectiveness of soybean oil and castor oil as flow improvers for waxy petroleum crude oil by C. F. Uzoh, S. U. John, H. A. Ezea, L. I. Igbonekwu, E. M. Madiebo

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La spatialisation de Services Ecosystémiques à l'échelle locale dans un contexte de déforestation : quelles approches statistiques et quelles données ? by Solen Le Clec'h, Johan Oszwald, Simon Dufour, Thierry Desjardins, Nicolas Jegou, Michel Grimaldi

“…Statistical models were developed in aim to link field measurements of biomass and infiltration rate in 135 sampling points and remote sensing data. …”
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Modeling and Simulation of Electric Vehicles Charging Services by a Time Colored Petri Net Framework by Agostino Marcello Mangini, Maria Pia Fanti, Bartolomeo Silvestri, Luigi Ranieri, Michele Roccotelli

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Experimental verification and 4E analysis of a hydrate-based CO2 capture system for flue gas decarbonization by Xiaoming Wang, Shangjie Shao, Guangyong Yang, Qixian Yan, Haoyu Yuan, Chen Chen, Fei Wang

“…Complementary to the experimental data, process simulations was conducted by the Aspen HYSYS and Aspen EDR. …”
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Agglomerations of The Stavropol Region: Comparison of Spatial and Demographic Dynamics by V. M. Eshrokov, A. A. Cherkasov, N. V. Sopnev

“…In the course of the study, the authors analyze the birth rate, mortality, natural population growth, migration processes, population dynamics, and the ethnic composition of the population of each agglomeration of the Stavropol Territory. …”
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Cutting Simulation of Bionic Cutting Tool for Geometric Characteristics of Limpets’ Teeth by MA Jing, YANG Shaocheng, LIU Qiang, ZHANG Mingjian

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Machine learning enabled assessment of the vacuum freeze-drying of the kiwifruit by Uzair Sajjad, Farzana Bibi, Imtiyaz Hussain, Naseem Abbas, Muhammad Sultan, Hafiz Muhammad Asfahan, Muhammad Aleem, Wei-Mon Yan

“…This involves translating the fruit’s morphological features into trainable data and using a Generative Adversarial Network (GAN) to create diverse, unlabeled datasets. …”
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Is it possible for parents to endure a stillbirth? Initial experiences, perceptions and strategies: individual in-depth interviews in Sweden 2021–2023 by Berit Höglund, Ingegerd Hildingsson

“…Abstract Background Stillbirth occurs at a rate of 3.0 per thousand in Sweden. However, few studies have focused on the initial experiences of parents facing a stillbirth. …”
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Some aspects of the impact of the State budget deficit on the Socio-economic development of Russia by I. V. Snimshchikova, K. E. Shamray

“…The role of oil and gas revenues in the process of forming the state budget of the Russian Federation is analyzed. …”
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