Analysis of Spatial Distribution Pattern and Driving Factors of Nature Reserves in Xinjiang by Yue Yang, Zhaoping Yang, Fang Han

“…In this study, we focused on the nature reserves in Xinjiang and used kernel density and standard deviation ellipse analysis methods to examine data from 1980, 1990, 2000, 2010, and 2020 in order to reveal the dynamics of spatial distribution, clustering characteristics, and evolutionary patterns, providing a scientific basis for optimizing the spatial layout of nature reserves in Xinjiang. …”
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Impact on Yield, Biomass, Mineral Profile, pH, and Electrical Conductivity of Cherry Tomato Fruit Using a Nutrient Solution and a Silicon-Based Organomineral Fertilizer by Jesus Bautista, Fanny Hernández-Mendoza, Víctor García-Gaytán

“…The leaves should be used for nutritional diagnosis, to confirm symptoms of deficiency or optimal nutritional ranges, which is of utmost importance for agronomists, growers, horticulturists, and physiologists.…”
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Phenolic compounds and biological activities of grape (Vitis vinifera L.) seeds at different ripening stages: insights from Algerian varieties by F. Kamah, A. Basli, R. Erenler, A. Bouzana, C. Bensouici, T. Richard, F.A. Al-Mekhlafi, M.A. Wadaan, M.S. Al-Khalifa, F. Boulkenafet

“…This study is the first to examine how grape ripeness affects phenolic content and biological activities in Algerian grape seeds. It identifies optimal harvest times for maximizing bioactive compounds and supports the use of grape seed extract in sunscreens and antioxidants.…”
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Study of Rock Burst Risk Evolution in Front of Deep Longwall Panel Based on Passive Seismic Velocity Tomography by Kunyou Zhou, Linming Dou, Siyuan Gong, Jiazhuo Li, Jinkui Zhang, Jinrong Cao

“…For prevention and controlling of rock burst risk in deep coal mining, pressure-relief measures should be optimized based on passive tomography results.…”
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Design and fabrication of (Hf0.25Zr0.25Ta0.25Nb0.25)C–SiC ceramics with improved microwave absorbing properties via PDC route by Bin Du, Saidi Wang, Linwei Guo, Yimin Ouyang, Hanwei Cheng, Yajuan Cheng, Tao Zhang

“…The superior microwave attenuation capability is attributed to optimized impedance matching, enhanced interfacial polarization between the HEC matrix and nanosized SiC, and dipole polarization induced by defects within HEC. …”
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Forecast of Freight Volume in Xi’an Based on Gray GM (1, 1) Model and Markov Forecasting Model by Fan Yang, Xiaoying Tang, Yingxin Gan, Xindan Zhang, Jianchang Li, Xin Han

“…Therefore, predicting the total amount of goods transported is essential in order to ensure efficient and orderly transportation. Aiming at optimizing the forecast of freight volume, this paper predicts the freight volume in Xi’an based on the Gray GM (1, 1) model and Markov forecasting model. …”
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Black rice (Oryza sativa L.) and its anthocyanins: mechanisms, food applications, and clinical insights for postprandial glycemic and lipid regulation by Thavaree Thilavech, Tanyawan Suantawee, Charoonsri Chusak, Phim On Suklaew, Sirichai Adisakwattana

“…However, comprehensive, long-term investigations are crucial to delineate the optimal dosage and duration of black rice consumption and further elucidate its positive effects on metabolic responses. …”
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Postnatal Growth Patterns in a Chilean Cohort: The Role of SES and Family Environment by D. E. Kang Sim, M. Cappiello, M. Castillo, B. Lozoff, S. Martinez, E. Blanco, S. Gahagan

“…As the fastest growing infants are at risk for later obesity, new strategies are needed to encourage optimal rather than maximal growth.…”
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Tinea manuum: a 5 year retrospective study of demographic data, clinical characteristics, and treatment outcomes by Panittra Suphatsathienkul, Pattriya Jirawattanadon, Lalita Matthapan, Waranyoo Prasong, Chatisa Panyawong, Akkarapong Plengpanich, Sumanas Bunyaratavej, Charussri Leeyaphan

“…Concurrent fungal skin and nail infections should be evaluated for optimal management.…”
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Assessing the Antenna Performance (Radiated Power) and Electromagnetic Impact (SAR) on a User of a Wearable RF Communication Device, Involving Variously Structured Models by Patryk Zradzinski, Jolanta Karpowicz, Krzysztof Gryz

“…The antenna performance and SAR of W-RFCD developed using ready-made components can be optimized without altering antenna matching circuits or inserting additional physical structures.…”
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A Systematic Comparison of Data Selection Criteria for SMT Domain Adaptation by Longyue Wang, Derek F. Wong, Lidia S. Chao, Yi Lu, Junwen Xing

“…Comparative experiments are conducted on Hong Kong law Chinese-English corpus and the results indicate the following: (i) the constraint degree of similarity measuring is not monotonically related to domain-specific translation quality; (ii) the individual selection models fail to perform effectively and robustly; but (iii) bilingual resources and combination methods are helpful to balance out-of-vocabulary (OOV) and irrelevant data; (iv) finally, our method achieves the goal to consistently boost the overall translation performance that can ensure optimal quality of a real-life SMT system.…”
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Textural analysis and artificial intelligence as decision support tools in the diagnosis of multiple sclerosis – a systematic review by Filip Orzan, Ştefania D. Iancu, Laura Dioşan, Zoltán Bálint

“…However, most studies lack validation in clinical scenarios.DiscussionThe absence of consensus on the optimal model for MS lesion segmentation highlights the need for standardized methodologies and clinical validation. …”
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Characterization of Human Colorectal Cancer MDR1/P-gp Fab Antibody by Xuemei Zhang, Gary Guishan Xiao, Ying Gao

“…A number of clones expressing Fab bound to P-gp21, showing neutralized activity in vitro, were isolated and screened by enzyme-linked immunosorbent assay based on its recognition properties to P-gp21 and human colorectal cancer tissue homogenate, resulting in identification of an optimal recombinant Fab clone (Number 29). Further characterization by recloning number 29 into an expression vector showed significant induction of the Fab antibody in the clone number 29 by Isopropyl β-D-1-thiogalactopyranoside (IPTG). …”
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Using a YOLO Deep Learning Algorithm to Improve the Accuracy of 3D Object Detection by Autonomous Vehicles by Ramavhale Murendeni, Alfred Mwanza, Ibidun Christiana Obagbuwa

“…Key contributions include introducing a multi-task loss function that optimizes 2D and 3D predictions and integrating sensor fusion techniques that combine RGB camera data with LIDAR point clouds for improved depth estimation. …”
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DPP-4 Inhibitors as Treatments for Type 1 Diabetes Mellitus: A Systematic Review and Meta-Analysis by Qixian Wang, Min Long, Hua Qu, Rufei Shen, Rui Zhang, Jing Xu, Xin Xiong, Hui Wang, Hongting Zheng

“…Although DPP-4 inhibitors may be beneficial for T1DM, existing studies do not strongly support these positive effects in clinical practice. Further optimized clinical trials are needed.…”
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Study of Carbonaceous and Nitrogenous Pollutant Removal Efficiencies in a Hybrid Membrane Bioreactor by Victor S. Ruys, Kamel Zerari, Isabelle Seyssiecq, Nicolas Roche

“…The removal rate increased when the concentration of DO was optimal for simultaneous nitrification and denitrification, which was between 0.1 and 0.5 mg/l, and the TN removal rate was consequently high. …”
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Selective state models are what you need for animal action recognition by Edoardo Fazzari, Donato Romano, Fabrizio Falchi, Cesare Stefanini

“…By transforming the state-of-the-art MSQNet model with Mamba blocks, we achieve significant reductions in computational requirements: up to 90% fewer Floating point OPerations and 78% fewer parameters compared to MSQNet. These optimizations not only make the model more efficient but also enable it to outperform Transformer-based counterparts on the Animal Kingdom dataset, achieving a mean Average Precision of 74.6, marking an improvement over previous architectures. …”
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Multimodal Autism Spectrum Disorder Method Using GCN With Dual Transformers by Tianming Song, Zhe Ren, Jian Zhang, Yawei Qu, Yingying Cui, Zhengda Liang

“…This study proposes a novel diagnostic approach that integrates Graph convolutional networks (GCN) with dual transformer architectures, optimized through a Co-training strategy. The first Transformer is dedicated to extracting intricate temporal features from fMRI data, which are crucial for understanding brain activity over time. …”
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Enhancing the flexibility and safety of electric-resistance heating on thick-walled pressure parts of utility boilers in coal-fired power plants by Zhiwen Hou, Liping Pang, Binghao Zhang, Jun Wang, Liqiang Duan, Huimin Wei, Xiaoze Du

“…An analysis of practical and optimized cold start-up is conducted. This start-up process involves the application of electric-resistance heating to a steam-water separator to shorten the boiler water filling time. …”
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Uniaxial Cyclic Tensile Stretching at 8% Strain Exclusively Promotes Tenogenic Differentiation of Human Bone Marrow-Derived Mesenchymal Stromal Cells by Hui Yin Nam, Belinda Pingguan-Murphy, Azlina Amir Abbas, Azhar Mahmood Merican, Tunku Kamarul

“…The present study was conducted to establish the amount of mechanical strain (uniaxial cyclic stretching) required to provide optimal tenogenic differentiation expression in human mesenchymal stromal cells (hMSCs) in vitro, in view of its potential application for tendon maintenance and regeneration. …”
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