Economic Effects of Green Pest Control Technology Adoption on Apple Farmers’ Income: Evidence from China by Haochen Jiang, Yubin Wang, Feng Zhang

“…With the increasing importance of green transformation in agricultural production, green pest control technologies (GPCTs), defined as a set of eco-friendly methods aimed at managing agricultural pests with reduced reliance on synthetic chemical pesticides, play a key role in improving agricultural production efficiency, ensuring product quality, and protecting the ecological environment. …”
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Exploratory development of human–machine interaction strategies for post-stroke upper-limb rehabilitation by Kang Xia, Xue-Dong Chang, Chong-Shuai Liu, Yu-Hang Yan, Han Sun, Yi-Min Wang, Xin-Wei Wang

“…Motors’ current is monitored and the surge in the current is identified adopting Discrete Wavelet Transform (DWT) method for safety concerns. Results Kinematically, the work space of the base exoskeleton is presented first. …”
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Structural and functional features of endometrium in patients undergoing in - vitro fertilization by Y. A. Kovalenko, L. M. Chuprinenko

“…A complex of diagnostic and therapeutic measures had been established in order to overcome many different causes of female infertility and restore women’s reproductive health.The aim of research is to determine value of immunohistochemical method in determination of disregenerative condition of endometrium in patients undergoing in - vitro fertilization (IVF) program. …”
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A Seeping Commodification: The Long Revolution in the Proliferation of Communication Commodities by Jernej A. Prodnik

“…The analysis is done through different methods of historicizing: firstly, by observing long-term changes in communication, information, and culture, as they have been slowly transformed into commodities produced for market exchange since the emergence of capitalism; and, secondly, by defining fundamental political and economic processes occurring in recent decades that help with an explanation of the rise in the influence of communication and information (as peculiar types of commodities) in the current epoch. …”
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Classification of Flying Drones Using Millimeter-Wave Radar: Comparative Analysis of Algorithms Under Noisy Conditions by Mauro Larrat, Claudomiro Sales

“…This study evaluates different machine learning algorithms in detecting and identifying drones using radar data from a 60 GHz millimeter-wave sensor. …”
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Determination of modern reliability indicators of relay protection and automation devices by A. V. Vinogradov, A. A. Lansberg, Yu. D. Volchkov, A. V. Vinogradova

“…The values of the failure flow for different types of relays and microprocessor devices of the RPA are established, for example, for an electromechanical relay of the DZT-11 type used to implement differential protection of transformers with a higher voltage of 110 kV, the failure flow is 0,2 year-1/100 pcs., and the frequency of excessive triggering is 22,22 year-1/100 pcs. …”
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The Art of Displacement: Designing Experiential Systems and Transverse Epistemologies as Conceptual Criticism by Rolf Hughes

“…A concern with boundaries and ‘edges’ implies in turn a concern with ‘relationality’ (i.e. how we establish relations, positions, borders between different disciplinary priorities and methods) and thence a problem that affects how we think of disciplinarity, interdisciplinarity, networks of various kinds, and trans-disciplinarity – that of ‘substance’, ‘content’ or ‘matter’. …”
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Phasor-FSTM: a new paradigm for multicolor super-resolution imaging of living cells based on fluorescence modulation and lifetime multiplexing by Luwei Wang, Yue Chen, Jiaqing Guo, Xiaoyu Weng, Wei Yan, Jun Song, Tong Ye, Junle Qu

“…Abstract Multicolor microscopy and super-resolution optical microscopy are two widely used techniques that greatly enhance the ability to distinguish and resolve structures in cellular imaging. These methods have individually transformed cellular imaging by allowing detailed visualization of cellular and subcellular structures, as well as organelle interactions. …”
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Research progress in globular fruit picking recognition algorithm based on deep learning by LI Hui, ZHANG Jun, YU Shuochen, LI Zhixin

“…The one-stage object detection algorithm achieves end-to-end detection by using a single convolutional neural network to directly predict the target location and category. This method achieves fast detection while maintaining high accuracy, transforms the problem of target detection into a regression problem, and completes the location and classification of the target directly. …”
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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

“…This improvement also effectively reduced the rates of false positives and false negatives, resulting in more stable and reliable performance in rice disease detection tasks.ConclusionsThe rice leaf disease image generation method based on the improved CycleGAN model, as proposed in this study, effectively transforms images of healthy leaves into those depicting disease symptoms. …”
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Agrifood systems' resilience for sustainable food security amid geopolitical tensions: a systematic literature review by Ally Mkumbukiy, Ally Mkumbukiy, Taha Loghmani-Khouzani, Taha Loghmani-Khouzani, Kaveh Madani, Kaveh Madani, Edeltraud Guenther, Edeltraud Guenther

“…Much research focuses on agrifood systems' resilience in the context of climate change and pandemics, repeatedly overlooking the impacts of geopolitical tensions and related policies enacted for sustainable food security.MethodsFocused on geopolitical tension as an influence on food security, 76 articles were systematically reviewed to identify key resilience elements and scenarios enacted based on countries' development, discovered major vulnerability indicators, and Resource Nexus of agrifood systems.ResultsThis review leads to the identification of four key resilience scenarios of the agrifood system amid geopolitical tensions: fragility reduction, robustness building, adaptive strategies, and transformative change over time. …”
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Artistic Documentary in the Context of Cultural Dialogue and the Expression of a New Nature of Historical Self-knowledge by S.R. Gevorgyan, V.S. Karapetyan, M.M. Ispiryan, A.V. Galstyan, A.G. Marianna, Ye.Zh. Mnatsakanyan, S.A. Margaryan

“… <p>Artistic documentary captures the lived experiences across different historical periods, highlighting representative events and significant episodes involving historical figures. …”
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Exploring latent weight factors and global information for food-oriented cross-modal retrieval by Wenyu Zhao, Dong Zhou, Buqing Cao, Wei Liang, Nitin Sukhija

“…A transformer encoder is utilised to capture the intra-modality interactions and the importance of different extracted image features for enhanced image representations. …”
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Quantitative Analysis of Structural Parameters Importance of Helical Temperature Microfiber Sensor by Artificial Neural Network by Juan Liu, Minghui Chen, Hang Yu, Jinjin Han, Hongyi Jia, Zhili Lin, Zhijun Wu, Jixiong Pu, Xining Zhang, Hao Dai

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Response Characteristics and Influencing Factors of the Ecological Stoichiometry of Soil Carbon, Nitrogen and Phosphorus to Conversion of Orchards into Farmlands on the Loess Table... by LIU Ruhua, MA Yali, CUI Erliang, QIAO Jiangbo, JIA Xiaoxu, ZHU Yuanjun, SHAO Mingan

“…Due to serious aging of apple trees in recent years, the single variety structure, and the instability of China's grain market, it has become a common phenomenon for orchards to be transformed into farmlands on the Loess Plateau to ensure national food security. …”
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Effect of the exposure to brominated flame retardants on hyperuricemia using interpretable machine learning algorithms based on the SHAP methodology. by Yu Cai, Xi-Ru Huang, Sheng-Jia Wang, Ying-Chao Liang, De-Liang Liu, Shu-Fang Chu, Hui-Lin Li

“…<h4>Background</h4>Brominated flame retardants (BFRs) are classified as important endocrine disruptors and persistent organic pollutants; nevertheless, there is no comprehensive investigation to evaluate the association between BFRs and hyperuricemia, and the available studies related to this field are exceptionally scarce.<h4>Methods</h4>For this study, we enrolled 3,812 individuals from NHANES 2005-2016, with nine different types of BFRs serving as the exposure. …”
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Conveyor belt deviation identification algorithm based on anchor point positioning and cross-layer correction by Zhe WANG, Zhe FU, Pengjun CAO, Qing LI, Gaoxiang ZHANG

“…To address the problems of information loss and inaccurate extraction of conveyor belt edge lines in the traditional convolutional neural network (CNN) methods for conveyor belt edge line detection due to the difficulty in constructing long-distance dependency relationships between pixels, a conveyor belt deviation recognition algorithm based on the DETR (Detection Transformer) encoder-decoder network structure with anchor point positioning and cross-layer correction is proposed. …”
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ABSOLUTIVE VERBS AS A SUBSTRATE OF FORMAL-GRAMMATICAL AND SEMANTIC SYNTACTICAL STRUCTURES OF UNEXTENDED SENTENCES by Liudmyla V. Suprun, Volodymуr M. Suprun

“…In research we use the methods of linguistic analysis, they are descriptive (in considering the phenomena of one level), comparative (analyzing the components of different levels to identify interlevel relationships), statistical calculations and quantitative characteristics, interpretive analysis (interpretation of semantics of certain syntactic units), transformation (transformation of a certain syntactic structure in order to characterize it). …”
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Phases with layered (AB) and “defective” (A2B3) structures in AIII–BVI systems. Part 2. Phase diagrams and approaches to some problems of reproducible synthesis in AIII– BVI system... by Alexander Y. Zavrazhnov, Nikolay Y. Brezhnev, Ivan N. Nekrylov, Andrew V. Kosyakov

“…For polymorphic (or close to them) transformations, the nature of the occurring structural transformations was described and the temperature stability of various modifications of similar composition was analyzed. …”
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Insights into gait performance in Parkinson's disease via latent features of deep graph neural networks by Jiecheng Wu, Jiecheng Wu, Ning Su, Xinjin Li, Xinjin Li, Chao Yao, Jipeng Zhang, Xucheng Zhang, Wei Sun

“…Regarding the classification results from the 5 classifiers, ST-GCN achieved an average precision, recall, and F1-score of 93.48%, 93.21%, and 93.32%, outperforming both the Transformer-based and LSTM-based methods. Displaying the joints and edge weights from various layers of the ST-GCN, particularly when comparing data from healthy individuals and PD patients, enhances the model's feasibility and offers greater interpretability. …”
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