Application of artificial muscle e-rubber for healthcare sensing: verification of measurement properties as a smart insole by Hidemasa Yoneda, Hidemasa Yoneda, Takashi Yamaga, Takeshi Fujiwara, Yoko Komori, Masatoshi Shimada, Yuki Kato, Shintaro Oyama, Shingo Shimoda, Michiro Yamamoto, Hitoshi Hirata

“…However, for the sensor embedded within the insole housing, the coefficient of variation increased to less than 8%, and the confidence interval was 1.5%, likely owing to the influence of gaps within the insole structure. Regarding the load estimation equation, a 5th-order polynomial approximation (R2 >0.999) demonstrated the best fit, indicating that it is sufficiently accurate for healthcare sensing applications. …”
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Identification of genetic determinants of antibiotic resistance in Helicobacter pylori isolates in Vietnam by high-throughput sequencing by Phuc Hoang Bui, Trang Ngoc Minh Cao, Thanh Truc Tran, Takashi Matsumoto, Junko Akada, Yoshio Yamaoka

“…In addition, a genome-wide association study (GWAS) and linear mixed model were used to identify genetic variants associated with antimicrobial resistance phenotypes while adjusting for covariates such as population structure. …”
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Stochastic Variance Reduced Primal–Dual Hybrid Gradient Methods for Saddle-Point Problems by Weixin An, Yuanyuan Liu, Fanhua Shang, Hongying Liu

“…Our algorithms have a simpler structure and lower per-iteration complexity than SOTA ADMMs. …”
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Effects of Therapeutic Ultrasound and Aussie Current With High-Intensity Interval Training on Abdominal Adiposity in Young Adults With Overweight and Obesity: Protocol for a Random... by Ana Carolina Aparecida Marcondes-Scalli, Patricia Rehder-Santos, Étore De Favari Signini, Alex Castro, Carla Dato, Leonardo Furlan, Richard Eloin Liebano, Aparecida Maria Catai

“…Data analysis involves linear mixed models estimated using the maximum likelihood method with an appropriate covariance matrix structure. …”
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Attitudes, Perceptions, and Factors Influencing the Adoption of AI in Health Care Among Medical Staff: Nationwide Cross-Sectional Survey Study by Qianqian Dai, Ming Li, Maoshu Yang, Shiwu Shi, Zhaoyu Wang, Jiaojiao Liao, Zhaoji Li, Weinan E, Liyuan Tao, Yi-Da Tang

“…Participants were recruited from the Chinese Medical Association and the Chinese Nursing Association. The structured questionnaire assessed demographic characteristics, knowledge and attitudes toward medical AI, experiences and insights regarding using medical AI, and perceptions and factors influencing the adoption of AI based on the unified theory of acceptance and use of technology (UTAUT) model. …”
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FACTORS ASSOCIATED WITH ANXIETY AND DEPRESSION SPECTRUM DISORDERS IN BEHCHET’S DISEASE by P. S. Ovcharov, T. A. Lisitsyna, D. Yu. Veltishchev, O. F. Seravina, O. B. Kovalevskaya, S. I. Glukhova, Z. S. Alekberova, E. L. Nasonov

“…ADSDs were diagnosed by a psychiatrist according to the ICD-10 during semi-structured interviews using the Hospital Anxiety and Depression Scale (HADS), the Hamilton Anxiety Rating Scale (HAM-A), and the Montgomery-Asberg Depression Rating Scale (MADRS). …”
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Altered Gut Microbiota and Plasma Metabolome Profiles Characterize Depression Individuals with Ischemic Stroke: A Comparative Analysis by Cao N, Lv D, Liu Y, Zhang H, Zhang X

“…The results showed that people with depression and IS exhibited a higher prevalence of bacteria with lipopolysaccharide (LPS) structures and reduced presence of butyrate-producing bacteria. …”
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Low-Rank Kernel-Based Semisupervised Discriminant Analysis by Baokai Zu, Kewen Xia, Shuidong Dai, Nelofar Aslam

“…Semisupervised Discriminant Analysis (SDA) aims at dimensionality reduction with both limited labeled data and copious unlabeled data, but it may fail to discover the intrinsic geometry structure when the data manifold is highly nonlinear. …”
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A fuzzy-optimized multi-level random forest (FOMRF) model for the classification of the impact of technostress by Gabriel James, Ifeoma, David, John, Samuel, Enefiok, Imeh Umoren, Ubong Etuk, Aloysius, Anietie, Saviour, Chikodili

“…Data was collected from academic and corporate settings through a structured process. Preprocessing techniques—such as feature extraction, selection, and normalization—were applied to structure and refine the dataset. …”
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Cardiac remodeling and global longitudinal strain in young male competitive athletes: A comparative study across different training modes by Damirbek A.Abibillaev, Fuat Kocyigit, Aida K.Baatyrbekova, Aisanam K. Abdurasulova, Kudaibergen R. Osmonaliev, Samatbek A. Satybaldyev, Zhenishbek K. Ismailov, Ryskul B.Kydyralieva, Oskon A.Salibaev, Taalaibek Z.Kudaiberdiev

“…Objective: Athletic heart (AH) is the structural, and functional cardiac alterations depending on a training type, intensity and number of sports-related factors (SRF) in an athletic cohort. …”
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Quantifying hygroscopic deformation in lignocellulosic tissues: a digital volume correlation tool comparison by Kim Ulrich, Kim Ulrich, Fabian Scheckenbach, Tak Ming Wong, Tak Ming Wong, Tom Masselter, Silja Flenner, Anaclara Visconti, Anaclara Visconti, Anaclara Visconti, Martin Nopens, Andreas Krause, Sergej Kaschuro, Jakob Benedikt Mietner, Thomas Speck, Thomas Speck, Imke Greving, Berit Zeller-Plumhoff, Berit Zeller-Plumhoff, Linnea Hesse, Linnea Hesse

“…In addition, the abundance of structural features in the cell walls leads to an improved DVC accuracy. …”
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Frequency-dependent Emission of the Millisecond Pulsar B1937+21 with the Parkes Ultrawideband Receiver by Z. Wang, Z. G. Wen, J. P. Yuan, N. Wang, W. Han, H. G. Wang, J. L. Chen, Z. Wang

“…The temporal variability of the dispersion measure, the Faraday rotation measure, and the flux density are analyzed from their corresponding structure functions. The frequency-and-longitude-dependent polarization evolutions are investigated. …”
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A Flexible-Integrated Multimodal Hydrogel-Based Sensing Patch by Peng Wang, Guoqing Wang, Guifen Sun, Chenchen Bao, Yang Li, Chuizhou Meng, Zhao Yao

“…Highlights A flexible multimodal proximity–pressure–temperature sensing patch with a simple structure was developed. Thanks to structural design and material synthesis, the sensor has an outstanding temperature sensitivity of 0.5 °C−1 with good linearity, a high pressure sensitivity of 30.6 kPa−1 and a non-contact sensing range is 2 m. …”
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Economic Drivers of Renewable Energy Growth in the European Union: Evidence from a Panel Data Analysis (2015–2023) by László Török

“…The results show that the effect of GDP per capita is structurally positive but not significant in terms of change within a particular country over time. …”
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Outdoor Air Pollution Is Related to Amygdala Subregion Volume and Apportionment in Early Adolescence by Jessica Morrel, L. Nate Overholtzer, Kirthana Sukumaran, Devyn L. Cotter, Carlos Cardenas-Iniguez, J. Michael Tyszka, Joel Schwartz, Daniel A. Hackman, Jiu-Chiuan Chen, Megan M. Herting

“…Background: Outdoor air pollution exposure is associated with structural and functional brain differences and an increased risk for psychopathology. …”
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Is your system calibrated? MRI gradient system calibration for pre-clinical, high-resolution imaging. by James O'Callaghan, Jack Wells, Simon Richardson, Holly Holmes, Yichao Yu, Simon Walker-Samuel, Bernard Siow, Mark F Lythgoe

“…High-field, pre-clinical MRI systems are widely used to characterise tissue structure and volume in small animals, using high resolution imaging. …”
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Performance Characteristics of Active Constrained Layer Damping by A. Baz, J. Ro

“…The composite ACLD when bonded to a vibrating structure acts as a “smart” treatment whose shear deformation can be controlled and tuned to the structural response in order to enhance the energy dissipation mechanism and improve the vibration damping characteristics. …”
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Review of tunnel magneto resistance current sensor technology by CHAI Zhenghao, ZHOU Feng, LONG Zhaozhi, XIE Jinjun

“…Tunnel magneto resistance current sensor has the characteristics of high linearity, high sensitivity, low cost, simple structure, etc., so it has become a very potential sensor product. …”
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How Public School Districts’ Characteristics Relate to Their Students’ Postsecondary Intentions by Cassie L. Barnhardt, Nicole Tennessen, Jeff Ching-Fan Lai, Sameer Ali, Brian An, Man Phan, Erin Bovid, Bridget A. Wright

“…To explore this topic, we utilize census, population-level data associated with all Iowa public school districts for a period of three academic years using a series of linear regression models. Findings emphasize the importance of the disciplinary climate in the overall climate of the district as an important factor that contributes to structuring students’ future intentions, with added nuance related to the total enrollment or size of the district.…”
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Experimental Study on Mechanical Properties of Precast Concrete Columns with Different Opening Ratios by Qinghu Xu, Yu Nie, Wei Ma, Yaya Zhou, Junlong Ren

“…Additionally, a finite element model incorporating material non-linearities was developed using ABAQUS (2022) software, and parametric numerical simulations were conducted to further explore the structural response. …”
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