The Role of Nature Reserves in Ecosystem Services and Urban Ecological Sustainable Development by Haoyu Wu, Fei Song, Haifu Li, Junbo Bai, Lijuan Cui, Fangli Su, Zahra Kalantari, Carla Sofia Ferreira

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Integrated Identification and Efficient Use of Biodiversity in Mountainous Regions by Mehdiyeva A. M., Mahmudova Z. A., Rustamova D. F., Mansurova D., Juraeva G.

“…The issue of determining the direction of the integrated use of geothermal resources is studied not only by its structure and characteristics, but also by the level of development of complex technological processes for the extraction and processing of hydromineral raw materials and the technology of thermal energy processes. …”
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A Full Computerized Workflow for Planning Surgically Assisted Rapid Palatal Expansion and Orthognathic Surgery in a Skeletal Class III Patient by Orazio Bennici, Alessia Malgioglio, Serena Moschitto, Gianrico Spagnuolo, Alberta Greco Lucchina, Vincenzo Ronsivalle, Gaetano Isola, Antonino Lo Giudice

“…Using a specific function of the software, the surgical splint was designed according to the pre-programmed skeletal movements, and subsequently, the physical splint was generated with a three-dimensional (3D) printing technology. Once a proper occlusal decompensation was reached, a Le Fort I osteotomy of the maxilla and a bilateral sagittal surgical osteotomy of the mandible were executed to restore proper skeletal relations. …”
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Гібридні тригенераційні установки для багатоцільових енерготехнологічних комплексів by Б.В. Косой, Б.Г. Грудка, Д.Б. Босий

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Adaptive Extraction of Oil Painting Texture Features Based on Reaction Diffusion Equation by Qicai Huang

“…The oil painting retrieval technology based on the reaction diffusion equation has attracted widespread attention in the fields of oil painting processing and pattern recognition. …”
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Transferability Evaluation in Wi-Fi Intrusion Detection Systems Through Machine Learning and Deep Learning Approaches by Saud Yonbawi, Adil Afzal, Muhammad Yasir, Muhammad Rizwan, Natalia Kryvinska

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Haploid biotechnology as a tool for creating a selection material for sugar beets by E. O. Kolesnikova, E. I. Donskikh, R. V. Berdnikov

“…In particular, these technologies are actively used in agriculture, which is concerned with increasing the volume and improving the quality of products. …”
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Capacity Enhancement in 60 GHz Based D2D Networks by Relay Selection and Scheduling by Waheed ur Rehman, Tabinda Salam, Jin Xu, Xiaofeng Tao

“…Millimeter-wave or 60 GHz communication is a promising technology that enables data rates in multigigabits. …”
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The effects of runs-of-homozygosity on pig domestication and breeding by Lin Tao, Hang Liu, Adeniyi C. Adeola, Hai-Bing Xie, Shu-Tang Feng, Ya-Ping Zhang

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Rotordynamic Fluid Force Moments on an Open-type Centrifugal Compressor Impeller in Precessing Motion by Yoshiki Yoshida, Yoshinobu Tsujimoto, Daizo Yokoyama, Hideo Ohashi, Fumitaka Kano

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A Survey of SNP Data Analysis by Xiaojun Ding, Xuan Guo

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Carbon Nanofiber-Reinforced Carbon Black Support for Enhancing the Durability of Catalysts Used in Proton Exchange Membrane Fuel Cells Against Carbon Corrosion by Minki Sung, Hyeonseok Yi, Jimin Han, Jong Beom Lee, Seong-Ho Yoon, Joo-Il Park

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Digital Strategy, Digital Leadership, Organizational Agility, and Digital Transformation for Agricultural Business Sustainability: A Human Resource Management Review by Zulkifli Zulkifli, Adnan Hakim

“…As a practical contribution, companies must adapt early on to transform their businesses with a digital approach, because the era of digital technology requires digitalization. There is already a lot of evidence of a company failing and experiencing severe decline due to ignoring digital transformation. …”
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Canagliflozin attenuates kidney injury, gut-derived toxins, and gut microbiota imbalance in high-salt diet-fed Dahl salt-sensitive rats by Lili He, Qingjuan Zuo, Sai Ma, Guorui Zhang, Zhongli Wang, Tingting Zhang, Jianlong Zhai, Yifang Guo

“…This study employed 16S rRNA sequencing technology and liquid chromatography–tandem mass spectrometry (LC–MS/MS)-based metabolic profiling combined with advanced differential and association analyses to investigate the correlation between the microbiome and the metabolome in male DSS rats.Results A high-salt diet disrupted the balance of the intestinal flora and increased toxic metabolites (methyhistidines, creatinine, homocitrulline, and indoxyl sulfate), resulting in severe kidney damage. …”
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Kupffer Cells Promote the Differentiation of Adult Liver Hematopoietic Stem and Progenitor Cells into Lymphocytes via ICAM-1 and LFA-1 Interaction by Deping Meng, Yuhong Qin, Nan Lu, Keke Fang, Yuan Hu, Zhigang Tian, Cai Zhang

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Personalized lightweight distributed network intrusion detection system in fog computing by Tianpeng YE, Xiang LIN, Jianhua LI, Xuankai ZHANG, Liwen XU

“…With the continuous development of Internet of Things (IoT) technology, there is a constant emergency of new IoT applications with low latency, high dynamics, and large bandwidth requirements.This has led to the widespread aggregation of massive devices and information at the network edge, promoting the emergence and deep development of fog computing architecture.However, with the widespread and in-depth application of fog computing architecture, the distributed network security architecture deployed to ensure its security is facing critical challenges brought by fog computing itself, such as the limitations of fog computing node computing and network communication resources, and the high dynamics of fog computing applications, which limit the edge deployment of complex network intrusion detection algorithms.To effectively solve the above problems, a personalized lightweight distributed network intrusion detection system (PLD-NIDS) was proposed based on the fog computing architecture.A large-scale complex network flow intrusion detection model was trained based on the convolutional neural network architecture, and furthermore the network traffic type distribution of each fog computing node was collected.The personalized model distillation algorithm and the weighted first-order Taylor approximation pruning algorithm were proposed to quickly compress the complex model, breaking through the limitation of traditional model compression algorithms that can only provide single compressed models for edge node deployment due to the high compression calculation overhead when facing a large number of personalized nodes.According to experimental results, the proposed PLD-NIDS architecture can achieve fast personalized compression of edge intrusion detection models.Compared with traditional model pruning algorithms, the proposed architecture achieves a good balance between computational loss and model accuracy.In terms of model accuracy, the proposed weighted first-order Taylor approximation pruning algorithm can achieve about 4% model compression ratio improvement under the same 0.2% model accuracy loss condition compared with the traditional first-order Taylor approximation pruning algorithm.…”
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Growing from Exploration: A Self-Exploring Framework for Robots Based on Foundation Models by Shoujie Li, Ran Yu, Tong Wu, Junwen Zhong, Xiao-Ping Zhang, Wenbo Ding

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A Novel Ensemble Classifier Selection Method for Software Defect Prediction by Xin Dong, Jie Wang, Yan Liang

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Efficiency of Automated Viral RNA Purification for Pediatric Studies of Dengue and Zika in Hyperendemic Areas by Sandra L. Delgado, Piedad M. Perilla, Doris M. Salgado, María Clemencia Rojas, Carlos F. Narváez

“…The local application of this technology in the study of tropical diseases, such as dengue and zika, is beginning to be tested. …”
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Ammonia Volatilization Losses from Paddy Fields under Controlled Irrigation with Different Drainage Treatments by Yupu He, Shihong Yang, Junzeng Xu, Yijiang Wang, Shizhang Peng

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