Requirements for a cognitive map of the crop production industry during the transition to a single digital economic management platform in agriculture by Budzko Vladimir, Medennikov Viktor

“…It is shown that the traditional approach to designing cognitive maps is not suitable for agriculture, since the map includes a huge number of indicators (946), which change their impact on target settings with great dynamics during the year depending on the spatio-temporal heterogeneity of fields, the type of agricultural technologies in accordance with Liebig's law. …”
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Defoliation Categorization in Soybean with Machine Learning Algorithms and UAV Multispectral Data by Marcelo Araújo Junqueira Ferraz, Afrânio Gabriel da Silva Godinho Santiago, Adriano Teodoro Bruzi, Nelson Júnior Dias Vilela, Gabriel Araújo e Silva Ferraz

“…Traditional disease severity monitoring is subjective and inefficient. …”
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Small RNA Expression Profiling by High-Throughput Sequencing: Implications of Enzymatic Manipulation by Fanglei Zhuang, Ryan T. Fuchs, G. Brett Robb

“…sRNA-based biomarkers outperform traditional messenger RNA-based biomarkers by testing fewer targets with greater accuracy and providing earlier detection for disease states. …”
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A Graph Convolutional Network-Based Sensitive Information Detection Algorithm by Ying Liu, Chao-Yu Yang, Jie Yang

“…The majority of existing detection methods are based on the sensitive-word tree, which is usually constructed via the common prefixes of different sensitive words from the given corpus. Yet, these traditional methods suffer from a couple of drawbacks, such as poor generalization and low efficiency. …”
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Effect of Loss Distribution on Deterrence Function of Tort Law by Negin Gholami, Mohammad Moloudi

“…In the tort liability, damages are distributed by modern institutions such as insurances, strict liability of companies or traditional and jurisprudential institutions such as kinsmanship. …”
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Approach to keyword search over encrypted data in cloud by Peng ZHANG, Yan LI, Hai-lun LIN, Rong YANG, Qing-yun LIU

“…With the advent of cloud computing,large-scale data are being increasingly outsourced to the cloud.For the protection of data privacy,sensitive data has to be encrypted before outsourcing,which makes effective data utilization a very challenging task.Although traditional searchable encryption approaches allow users to search over encrypted data through keywords,they don’t capture any relevance of data files,so users have to spend much time on post-processing every retrieved file in order to find ones most matching their interest.Moreover,retrieving all files containing the queried keyword further incurs unnecessary network traffic,which is not accord with pay-as-you-use cloud paradigm.An approach to ranked keyword search over encrypted data in cloud is proposed.Ranked search greatly mitigate the user’s effort by returning the matching files in a ranked order,and also protects the data privacy by order-preserving encryption.Extensive experimental results demonstrate the efficiency.…”
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Enhanced grey wolf optimization for maximum power point tracking in photovoltaic systems with hybrid battery-supercapacitor storage by Chirine Benzazah, Najoua Mrabet, Ahmed ElAkkary, Fathallah Rerhrhaye

“…The enhanced approach significantly improves energy extraction and reduces tracking time compared to traditional methods. Additionally, the hybrid storage system ensures a balanced and stable operation between the battery and supercapacitor, extending the lifespan of the energy storage components. …”
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Seismic Response Analysis of Concrete Box-Type Subgrade in High-Speed Railways by Ying-Ying Chen, Hong Xiao, Xu-Guo Song, Shuai-Jie Guo, Bei-Er Luo, Mahantesh M. Nadakatti

“…Results indicate that the box-type subgrades exhibit good integrity under seismic actions, primarily undergoing rigid body motion, with forces in all components well below design strength, meeting the Chinese seismic fortification requirements. Compared to traditional simply supported beams, box-type subgrades show better adaptability to earthquakes. …”
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The impact of a gamified approach on vocabulary learning and vocabulary self-efficacy: evidence from a chilean primary EFL school by Marco Cancino, Camila Viguera

“…and a control group (n = 65) that received traditional coursebook instruction. Ten target words were assessed through a vocabulary learning post-test, while vocabulary self-efficacy was evaluated through a questionnaire. …”
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Plug-and-play terahertz multifunctional metadevices based on metal waveguide arrays and 3D printed structures by Hao Hu, Xinru Ma, Xiaoxue Hu, Fucai Liu, Fang Bo, Xiaolei Wang

“…By replacing the 3D printed structures, reconfiguration between different functions is achieved, with a control efficiency exceeding 60%. Compared to traditional semiconductor processing methods, this modular design approach is not only more cost-effective but also more adaptable, making it highly suitable for applications requiring large-scale metadevices.…”
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Cosine Similarity Template Matching Networks for Optical and SAR Image Registration by Wenxuan Xiong, Mingyu Sun, Hua Du, Bangshu Xiong, Congxuan Zhang, Qiaofeng Ou, Zhibo Rao

“…Synthetic aperture radar (SAR) and optical imagery are complementary methods in Earth observation. However, traditional similarity measures struggle to accurately align these heterogeneous images due to sensor differences and modality disparities. …”
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Enhancing heart disease prediction with reinforcement learning and data augmentation by Gayathri R, Sangeetha S．K．B, Sandeep Kumar Mathivanan, Hariharan Rajadurai, Benjula Anbu Malar MB, Saurav Mallik, Hong Qin

“…The complex nature of cardiac data frequently presents challenges for traditional machine learning models, which results in subpar performance. …”
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Optimizing power sharing accuracy in low voltage DC microgrids considering mismatched line resistances by Samir A. Hamad, Mohamed Ali Ghalib, Mahmoud F. Elmorshedy, Sulaiman Z. Almutairi, Mohammed H. Alqahtani, Hazem Hassan Ali

“…Simulation results demonstrate that the presented method outperforms the traditional control approach, achieving superior performance.…”
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Unlocking the Sustainable Development Path of China’s Nonferrous Metal Industry Based on Collaborative Innovation by Jing Zhang, Yuanyuan Lu, Xiangmin Zhang

“…Through multilevel and multidimensional analysis, the authors drew the following conclusions: the macropolicies and technology paradigm can create a window of opportunity for the industry, which directly drives the breeding of new industries and the transformation and upgrading of traditional industries; the interaction between the macroenvironment and microinnovative subjects leads to the differentiation of the industrial innovation path; the provinces can enter the first echelon of interprovincial innovation collaboration and realize sustainable development of the industry through the unlocking path, which consists of path continuation, path expansion, path implantation, and path diversification.…”
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Vehicle Lane Changing Game Model Based on Improved SVM Algorithm by Jian Wang, Hongxiang Wang, Mingzhe Fei, Gang Zhou

“…In order to improve the autonomous lane-changing performance of unmanned vehicles, this paper aims to solve the problem of inaccurate decision classification in traditional support vector machine (SVM) algorithms applied to the lane-changing decision-making stage of intelligent driving vehicles. …”
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π-PrimeNovo: an accurate and efficient non-autoregressive deep learning model for de novo peptide sequencing by Xiang Zhang, Tianze Ling, Zhi Jin, Sheng Xu, Zhiqiang Gao, Boyan Sun, Zijie Qiu, Jiaqi Wei, Nanqing Dong, Guangshuai Wang, Guibin Wang, Leyuan Li, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Fuchu He, Wanli Ouyang, Cheng Chang, Siqi Sun

“…Abstract Peptide sequencing via tandem mass spectrometry (MS/MS) is essential in proteomics. Unlike traditional database searches, deep learning excels at de novo peptide sequencing, even for peptides missing from existing databases. …”
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Cell adhesion and spreading on fluid membranes through microtubules-dependent mechanotransduction by Oleg Mikhajlov, Ram M. Adar, Maria Tătulea-Codrean, Anne-Sophie Macé, John Manzi, Fanny Tabarin, Aude Battistella, Fahima di Federico, Jean-François Joanny, Guy Tran van Nhieu, Patricia Bassereau

“…On fluid substrates like supported lipid bilayers (SLBs), integrin ligands are mobile, and adhesive complexes are traditionally thought unable to anchor for cell spreading. …”
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Lowering reinforcement learning barriers for quadruped locomotion in the task space by Cooke Lauren, Fisher Callen

“…In contrast to traditional methods like model predictive control (MPC), deep reinforcement learning (DRL) offers a simpler and less model- intensive option to develop quadruped locomotion policies. …”
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Evaluation of Susceptibility of Asphalt Binders to Rutting through MSCR Test by Rong Chang, Aimin Sha, Pinxue Zhao, Songchang Huang, Cong Qi

“…Using modified asphalt binder is one of the most effective methods to solve the rutting problem of asphalt pavement, but the traditional G∗/sin  δ parameter is not enough to characterize the rutting resistance of modified asphalt in field use. …”
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Research progress of discharge planning for patients with coronary heart disease (冠心病患者出院准备服务的研究进展) by YANG Lili (杨丽丽), SONG Libo (宋丽波), LYU Xuejun (吕学军), JI Yunfei (吉云飞)

“…Factors influencing the patient’s preparedness for discharge were analyzed, and targeted health education to improve the preparedness for Traditional Chinese Medicine were provided, in order to improve the quality of discharge planning, social support and self-efficacy of patients. …”
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