Precision and Reliability of a Dynamometer for Trunk Extension Strength and Steadiness Assessment by Franciele Parolini, Márcio Goethel, Johan Robalino, Klaus Becker, Manoela Sousa, Barbara C. Pulcineli, Ulysses F. Ervilha, João Paulo Vilas-Boas, Rubim Santos

“…A single-point load cell system, encapsulated within a 3D-printed structure and connected to a Delsys system^® at a sampling frequency of 2000 Hz, was used for data acquisition. …”
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Sediment Provenance and Facies Analysis of the Huagang Formation in the Y-Area of the Central Anticlinal Zone, Xihu Sag, East China Sea by Xiao Ma, Wei Yan, Yi Yang, Ru Sun, Yue Chao, Guoqing Zhang, Chao Yang, Shudi Zhang, Dapeng Su, Guangxue Zhang, Hong Xu

“…Recent breakthrough exploration wells in the Huagang Formation in the Y-area of the central anticlinal zone of the Xihu Sag have confirmed the significant exploration potential of structure–lithology complex hydrocarbon reservoirs. …”
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Genetic Diversity and Population Differentiation of Yangtze Finless Porpoise in Poyang Lake by Han Zhang, Denghua Yin, Jianglong Que, Xiaoyan Zhu, Danqing Lin, Congping Ying, Jinxiang Yu, Kai Liu

“…This finding was further corroborated by STRUCTURE analysis, which revealed genetic admixture between the two populations. …”
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Genome-wide analysis to detect multi-drug resistance genes in Mycobacterium tuberculosis strains SWLPK and MNPK resourced from Pakistan by Maria Rafique, Muhammad Ibrahim, Sumaira Kanwal, Habib Bokhari, Farrukh Jamil, Annam Hussain, Muhammad Asif Rasheed

“…A 3D structure was modelled by I-TASSER, while refinement and minimizations were performed using the UCSF Chimera 1.14.1. …”
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Real-Time Integration of Optical Coherence Tomography Thickness Map Overlays for Enhanced Visualization in Epiretinal Membrane Surgery: A Pilot Study by Ferhat Turgut, Keisuke Ueda, Amr Saad, Tahm Spitznagel, Luca von Felten, Takashi Matsumoto, Rui Santos, Marc D. de Smet, Zoltán Zsolt Nagy, Matthias D. Becker, Gábor Márk Somfai

“…Subsequently, for consecutive frames, feature point extraction (the Shi–Tomasi method) and optical flow computation (the Lucas–Kanade algorithm) were used to calculate frame-by-frame transformations, which were applied to the OCT image to maintain alignment in near real time. (3) Results: The method achieved a 92.7% success rate in optical flow detection and maintained an average processing speed of 7.56 frames per second (FPS), demonstrating the feasibility of near real-time application. (4) Conclusions: The developed approach facilitates enhanced intraoperative visualization, providing surgeons with easier retinal structure identification which results in more comprehensive data-driven decisions. …”
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Activity and Operational Loss of IrO₂-Ta₂O₅/Ti Anodes During Oxygen Evolution in Acidic Solutions by Jovana Bošnjaković, Maja Stevanović, Marija Mihailović, Vojin M. Tadić, Jasmina Stevanović, Vladimir Panić, Gavrilo Šekularac

“…The as-prepared anode was deactivated using an accelerated stability test in an acid solution, the EW simulating electrolyte. The obtained data are correlated with fundamental electrochemical properties of OEA, such as structure-related pseudocapacitive responses at open circuit potential in the same operating environment. …”
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Simultaneous Wavelength and Format Conversions Based on the Polarization-Insensitive FWM in Free-Space Optical Communication Network by Xinning Huang, Yulong Suh, Tao Duan, Hui Hu, Xin Xu, Xiaoping Xie

“…Free-space optical (FSO) network is an effective way to enhance the interoperability and improve the resource utilization of the FSO communication systems. Since the structure is relatively simple and the nodes are not so many, wavelength conversion-based optical circuit switching (WC-OCS) is an appropriate candidate for the FSO network to solve the blocking problem. …”
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Spread of Multi-Antibiotic-Resistant Health-Care Pathogens in Hospitals to Treat COVID-19 Patients by A. E. Goncharov, L. P. Zueva, A. S. Mokhov, V. V. Kolodzhieva, A. A. Meltser, M. V. Smirnova, T. V. Khavlina, E. A. Orishak

“…It was found that carbapenem resistant gram-negative bacteria predominate in the structure of the nosocomial microbiota of the respiratory tract of patients with COVID-19 in both hospitals. …”
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Drug-related community issues and the required interventions in open drug scenes in Tehran, Iran: a qualitative study protocol by Mohammad Bagher Saberi Zafarghandi, Sahar Eshrati, Meroe Vameghi, Hadi Ranjbar, Reza Arezoomandan, Thomas Clausen, Helge Waal

“…In addition, the study attempts to investigate the perceptions with respect to the required interventions and barriers to their accessibility.Methods To this end, the current study focuses on the Farahzad drug scene due to its structure and the difficult access to the scene by harm reduction providers. …”
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Effect of acupuncture on episodic memory for amnestic mild cognitive impairment based on hippocampal subregion: study protocol of a randomized, controlled trial by Xinbei Li, Xingying Lu, Juan Ou, Hanqing Lyu, Yongfeng Liu, Jinhuan Zhang

“…BackgroundThe hippocampus is a key brain region for episodic memory, and impairment of episodic memory is the earliest feature of amnestic mild cognitive impairment (aMCI). Preserving the structure and function of the hippocampus plays a key role in preventing progression to Alzheimer’s disease (AD). …”
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Modeling and application of temperature-dependent elastic constants in continuous fiber-reinforced shape memory polymer composites by Jiajun Chen, Chen Du, Wenwu Zhang, Penghui Zhu, Qinghu Wang, Xiongqi Peng

“…This framework bridges critical gaps between micromechanical theory and macroscale SMPC performance, providing a robust tool for multi-physics-coupled smart structure design.…”
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Supervised Machine Learning Thyroid Carcinoma Diagnosis Using Wide-Field SHG Microscopy by Yaraslau Padrez, Radu Hristu, Igor Timoshchenko, Lucian G. Eftimie, Danielis Rutkauskas, Lena Golubewa

“…Misclassification can lead to overtreatment of low-risk PTCs or inadequate treatment of FTCs, increasing the risk of recurrence and metastasis. Since the structure of the collagen capsule surrounding thyroid nodules provides diagnostically valuable information, label-free imaging with second harmonic generation (SHG) microscopy combined with machine learning (ML)-based analysis offers a promising approach for automated classification. …”
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Synthesis and molecular modeling of new triazole-bithiazole conjugates as antimicrobial agents by Hadeer Mattar, Gadeer R.S. Ashour, Mansoor Alsahag, Ali Alisaac, Matokah M. Abualnaja, Adel I. Alalawy, Fatmah O. Sefrji, Nashwa M. El-Metwaly

“…The various spectroscopic techniques, such as IR, NMR and MS, confirmed the suggested chemical structure of isolated hybrids. The DFT studies of the produced derivatives revealed twisted configuration except for the parent 2, how was planar. …”
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Multiple-model based prediction of weekly discharge of the Brahmaputra-Jamuna by assimilating antecedent hydrological regime by Md. Abdur Rahim, Shuang Liu, Kaiheng Hu, Hao Li, Md. Anwarul Abedin, Fatima Akter

“…The Brahmaputra-Jamuna in Bangladesh, one of the highest discharge rivers in South Asia, is fundamental to the region’s socio-economic structure and a major driver of flooding. Hence, predicting discharge in this river is crucial for managing water resources, protecting infrastructures and minimizing flood risks. …”
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Evaluating Sampling Designs to Survey Fish Diversity in Lakes From Northern Temperate Zones by Erik García‐Machado, Eric Normandeau, Guillaume Côté, Isabeau Caza‐Allard, Charles Babin, Louis Bernatchez

“…Simple random, grid, and transect‐based sampling methods are widely used in ecological surveys to obtain an unbiased estimation of species richness and community structure. However, under certain conditions where spatial information is available, sampling design and sequencing depth can be optimized to reduce effort and cost. …”
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FsDAOD: Few-shot domain adaptation object detection for heterogeneous SAR image by Siyuan Zhao, Yong Kang, Hang Yuan, Guan Wang, Hui Wang, Shichao Xiong, Ying Luo

“…Firstly, employing the foundational structure of the existing baseline method, a novel mutual information loss function is introduced that prompts the neural network to extract domain-specific knowledge. …”
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Habitat fragmentation increases the risk of local extinction of small reptiles: A case study on Phrynocephalus przewalskii by Cui Yang, Yue Qi, Jiayuan Guo, Liangfei Peng, Neng Xiong, Wenya Zhang, Wei Zhao

“…We focused on Phrynocephalus przewalskii, analyzing body size, reproductive strategies, genetic structure, and diversity across three habitats with varying degrees of fragmentation. …”
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Dynamic Modeling and Simulation of Wind Turbine Unit Primary Frequency Regulation Considering Multi-domain Coupling Characteristics by Zhanyang JI, Yang HU, Lingxing KONG, Ziqiu SONG, Dan DENG, Jizhen LIU

“…The results show that the state space model obtained has good interpretability, but the model structure inherently limits its approximation accuracy to a finite degree; in comparison, the temporal neural network model demonstrates a better ability to capture dynamic characteristics, providing a robust model foundation for subsequent optimization control of the unit's primary frequency modulation.…”
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Periodontal tissue changes after crown lengthening surgery: A systematic review and meta-analysis by Samantha C. Smith, Rayner Goh, Sunyoung Ma, Getulio R. Nogueira, Momen Atieh, Andrew Tawse-Smith

“…Introduction: Crown lengthening is one of the most common periodontal surgical procedures carried out to increase the amount of supragingival tooth structure. There is a lot of literature on crown lengthening surgeries, but very few systematic reviews comparing treated and adjacent sites over a six-month period. …”
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A Joint Moving Target Detection Method in Video SAR Via Low-Rank Sparse Decomposition and Transformer by Hui Fang, Guisheng Liao, Yongjun Liu, Cao Zeng, Xiongpeng He, Mingming Xu

“…Then, we improve faster RCNN and build a two-stream extraction feature network based on the Transformer structure that allows the video SAR image and the sparse image as input simultaneously as well as extracts and fuses the features from two types of the images, which can acquire more discriminative target features, thereby improving the final the detection performance. …”
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