Algorithm for Constructing the Hazard Function of the Extended Cox Model and its Application to the Prostate Cancer Patient Database by I. I. Mikulik, G. M. Zharinov, A. Yu. Kneev

“…To solve the problem using the optimization method, a fitness function was constructed that evaluated the results of prognosis, the number of features, and the degree of overtraining of the model — the complexity and load of the compiled hazard function. …”
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Experimental Study on Compressive Capacity Behavior of Helical Anchors in Aeolian Sand and Optimization of Design Methods by Qingsheng Chen, Wei Liu, Linhe Li, Yijin Wu, Yi Zhang, Songzhao Qu, Yue Zhang, Fei Liu, Yonghua Guo

“…To precisely predict the compressive bearing behavior of helical anchors in aeolian sand, this study integrates in situ testing with finite element numerical analysis to systematically elucidate the non-linear evolution of its load-bearing mechanisms. The XGBoost algorithm enabled the rigorous quantification of the governing geometric features of compressive capacity, culminating in a computational framework for the bearing capacity factor (<i>N</i>_q) and lateral earth pressure coefficient (<i>K</i>_u). …”
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Predicting knee osteoarthritis progression using neural network with longitudinal MRI radiomics, and biochemical biomarkers: A modeling study. by Ting Wang, Hao Liu, Wenbo Zhao, Peihua Cao, Jia Li, Tianyu Chen, Guangfeng Ruan, Yan Zhang, Xiaoshuai Wang, Qin Dang, Mengdi Zhang, Alexander Tack, David Hunter, Changhai Ding, Shengfa Li

“…The main limitations include the use of a non-routine MRI sequence, the lack of external validation in independent cohorts, and limited incorporation of all knee joint structures in radiomic feature extraction. In this study, we observed that longitudinal MRI radiomic features of load-bearing knee joint tissues provide potentially informative markers for predicting knee osteoarthritis progression. …”
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Bolstered bone regeneration by multiscale customized magnesium scaffolds with hierarchical structures and tempered degradation by Zehui Lv, Bo Peng, Yu Ye, Haojing Xu, Xuejie Cai, Jinge Liu, Jiabao Dai, Yixin Bian, Peng Wen, Xisheng Weng

“…Eventually, this scaffold demonstrates superior geometrical characteristics, load-bearing capacity, and degradation performance, significantly outperforming traditional scaffolds based on in vitro and in vivo assessments, marking a breakthrough in repairing customized bone defects.…”
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Evaluation of EMG patterns in children during assisted walking in the exoskeleton by Margherita Villani, Priscilla Avaltroni, Priscilla Avaltroni, Giulia Scordo, Giulia Scordo, Damiana Rubeca, Damiana Rubeca, Peter Kreynin, Ekaterina Bereziy, Denise Berger, Denise Berger, Germana Cappellini, Germana Cappellini, Francesca Sylos-Labini, Francesca Sylos-Labini, Francesco Lacquaniti, Francesco Lacquaniti, Yury Ivanenko

“…This is most likely explained by the active nature of stepping in the exoskeleton (the child was not fully relaxed, experienced full foot loading and needed to maintain the upper trunk posture). …”
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A Cyclic Graywater Treatment Model for Sustainable Wastewater Management Applied in a Small Scale by Hanen Filali, Malak Moussa, Narcis Barsan, Valentin Nedeff, Oana Irimia, Mohamed Hachicha

“…Cyclic treatment significantly reduced the microbial load of graywater. For example, for <i data-eusoft-scrollable-element="1">E. coli</i>, the average decreased from 0.87 log 10/100 mL in RGW to 0.58 log 10/100 mL in GWT3. …”
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From detection to intervention: An end-to-end system for recognizing the “signal for help” gesture in real-time by Federico Buccellato, Eleonora Vacca, Sarah Azimi, Corrado De Sio, Luca Sterpone

“…Despite its potential, its effectiveness has been impeded by limited public awareness, the risk of misinterpretation, and the lack of reliable automated detection systems.To address these challenges, this paper introduces a framework consisting of two interconnected components: a real-time detection system of the “Signal for Help” gesture using a machine learning-based recognition system and a custom mobile application that receives notifications from the detection system and alerts security personnel in real-time.During the development process, we faced several challenges, including detecting the gesture in crowded environments and keeping the computational load low to ensure the system could run efficiently on edge devices.We overcame these challenges by designing a system that combines hand tracking and feature extraction, using tools such as MediaPipe and DeepSORT, followed by a final classification step. …”
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An mRNA lipid nanoparticle-incorporated nanofiber-hydrogel composite for cancer immunotherapy by Yining Zhu, Zhi-Cheng Yao, Shuyi Li, Jingyao Ma, Christine Wei, Di Yu, Jessica L. Stelzel, Bobby Y. X. Ni, Yang Miao, Kyra Van Batavia, Xiaoya Lu, Jinghan Lin, Yifan Dai, Jiayuan Kong, Ruochen Shen, Kailei D. Goodier, Xiang Liu, Leonardo Cheng, Ivan Vuong, Gregory P. Howard, Natalie K. Livingston, Joseph Choy, Jonathan P. Schneck, Joshua C. Doloff, Sashank K. Reddy, John W. Hickey, Hai-Quan Mao

“…Notably, the engineered nanofiber-hydrogel composite (NHC) has proven effective in mimicking the soft tissue extracellular matrix, facilitating substantial recruitment of host immune cells and the formation of a local immunostimulatory microenvironment. Leveraging this feature, here we report an mRNA lipid nanoparticle (LNP)-incorporated NHC microgel matrix, termed LiNx, by incorporating LNPs loaded with mRNA encoding tumour antigens. …”
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YOLOv11-RDTNet: A Lightweight Model for Citrus Pest and Disease Identification Based on an Improved YOLOv11n by Qiufang Dai, Shiyao Liang, Zhen Li, Shilei Lyu, Xiuyun Xue, Shuran Song, Ying Huang, Shaoyu Zhang, Jiaheng Fu

“…The model introduces three key enhancement features: First, shallow RFD (SRFD) and deep RFD (DRFD) downsampling modules replace traditional convolution modules, improving image feature extraction accuracy and robustness. …”
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Letter from editor by Carlos A. Vargas

“…One is about the experimental triaxial tests developed to estimate undrained critical shear strength under monolithic loadings; the second one reads about classification of caving depth by feature extraction in cutting images, and the other is a simulation using artificial neural network and adaptative neuro-fuzzy system of compression ratio in a municipal solid waste. …”
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RESULTS OF CLINICAL AND INSTRUMENTAL STUDY OF DIGITAL OCCLUSION INDICES DURING REGISTRATION OF INTERMAXILLARY INTERCUSPAL POSITION IN PATIENTS WITH UNILATERAL DEFECTS AND INTACT DE... by Т.R. Hlushko, Yu.V. Vovk, V.Yu. Vovk, P.S. Kryukov

“…The conducted instrumental studies demonstrate challenging opportunities to identify individualized features of static and dynamic occlusal balance at clinical registration of intermaxillary position of ICP with the help of various registration materials and techniques. …”
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Lightweight coal miners and manned vehicles detection model based on deep learning and model compression techniques: A case study of coal mines in Guizhou region by Beijing XIE, Heng LI, Zheng LUAN, Zhen LEI, Xiaoxu LI, Zhuo LI

“…Faster-Block and coordinate attention are integrated into the feature extraction module of the network, designing a novel C2f-Faster-CA lightweight architecture to reduce redundant channels of the network while adaptively capturing global key information. …”
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Deformation prediction in innovative implant design with machine learning approaches by Mehmet Onur Yağır, Muhammed Fatih Pekşen, Şaduman Şen, Uğur Şen

“…The deformations of the implants on the bone were recorded with digital load cells and measured with relevant measuring devices. 4263 usable experimental data were collected for the classic implant, and 8832 for the sleeved implant. …”
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Designing accessible and independent living spaces for visually impaired individuals: a barrier-free approach to interior design by Anushka Patil, Smruti Raghani

“…Optimized lighting layouts feature uniform illumination, glare reduction, and adaptive lighting to enhance visibility. …”
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Endosomal Trafficking Bypassed by the RAB5B‐CD109 Interplay Promotes Axonogenesis in KRAS‐Mutant Pancreatic Cancer by Dingwen Zhang, Yuming Luo, Yan Lin, Zhou Fang, Hanhao Zheng, Mingjie An, Qingyu Xie, Zhuo Wu, Chao Yu, Jiabin Yang, Min Yu, Changhao Chen, Rufu Chen

“…Abstract Perineural invasion (PNI) represents a unique biological feature associated with poor prognosis in pancreatic ductal adenocarcinoma (PDAC), especially in the presence of KRAS mutations. …”
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CURRENT TRENDS IN BONE AUGMENTATION DURING DENTAL IMPLANTATION IN PATIENTS WITH PARODONTAL PATHOLOGY AND JAW BONE ATROPHY (LITERATURE REVIEW) by Yu.O. Kinash, L.V. Kinash

“…Thus, women have changes in bone architecture and less dense arrangement of trabeculae in the jawbones than men [15].Bone tissue has a distinguishing feature – loss of multiple teeth or parodontal diseases lead to a redistribution of functional load, which causes its resorption [7;20]. …”
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THE PHOTOELASTICITY OF RHOMBIC SYNGONY CRYSTALS by Vasyl Stadnyk, I. Matviishyn, N. Ftomyn, V. Vyshnevskyi, V. Baliga, O. Shtuka

“…That is, in the case of simultaneous application of a uniaxial load along the crystal-physical Y- and Z-directions, we can obtain a new optical isotropic point at room temperature, which was previously discovered in a number of isomorphic crystals of this group (e.g. …”
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A Non-Vacuum Coating Process That Fully Achieves Technical Goals of Bipolar Plates via Synergistic Control of Multiple Layer-by-Layer Strategy by Qiaoling Liu, Xiaole Chen, Menghan Wu, Weihao Wang, Yinru Lin, Zilong Chen, Shuhan Yang, Yuhui Zheng, Qianming Wang

“…In general, the protective layers have been loaded onto the metal surface by widely used traditional techniques such as physical vapor deposition (PVD), or cathode arc ion plating. …”
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Design and Evaluation of Real-Time Data Storage and Signal Processing in a Long-Range Distributed Acoustic Sensing (DAS) Using Cloud-Based Services by Abdusomad Nur, Yonas Muanenda

“…This finding underscores the efficiency gains achieved with larger computational loads, indicating improved system performance and capacity utilization as the DAS system processes more extensive datasets.…”
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MULTIMODAL APPROACH TO THE STUDY OF SPECIALIZED TEXTS IN TECHNICAL DISCOURSE by Yuliia V. Polycheva, Volodymyr I. Vetokhin

“…The image is the most important part of multimodal technical texts and carries a significant functional load, providing a more complete, comprehensive perception. …”
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