Creep Behavior and Long-Term Deformation Prediction of Ground Reinforced by High-Permeability Grouting by Li Chenhui, Xu Zhipeng, Zhou Pengkun, Zhang Hongbo, Zheng Yantao, Li Runguo, Liu Changwu

“…This phenomenon may lead to gradual surface settlement and structural instability, thereby compromising the long-term safety and performance of underground infrastructure. …”
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Research of indicators of activity and participation of disabled people living in inpatient social service institutions and families based on the provisions of the international cl... by I. S. Ishutina, M. D. Khodakovskii, S. V. Pavlova, A. V. Sokurov, T. V. Ermolenko

“…General scientific methods (content analysis, analytical, system-structural, comparative, statistical) and methodological methods of systematization, comparison, generalization, interpretation using the standard Excel-7.0 software package for IBM PC are applied.The object of the study. …”
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Subepicardial adipose genes contribute to the deterioration of heart failure preserved ejection fraction by Ruiying Zhang, Ruiying Zhang, Ruiying Zhang, Man Wang, Man Wang, Man Wang, Yuheng Lang, Yuheng Lang, Jiaqi Zhang, Jiaqi Zhang, Jiaqi Zhang, Yuchao Wang, Yuchao Wang, Yuchao Wang, Han Zheng, Han Zheng, Han Zheng, Yue Zheng, Yue Zheng, Yue Zheng, Yue Zheng, Bingyang Zhou, Bingyang Zhou, Bingyang Zhou

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Semantic analysis of social media messages of patients with neovascular age-related macular degeneration and diabetic macular edema by open Internet sources — a study of patients'... by V. V. Neroev, O. V. Zaytseva, A. Yu. Berdieva, Z. M. Gabdullina, M. N. Pudikov, A. A. Leonova, V. F. Khoroshevsky

“…The posts were analyzed in several steps with the technologies of automated analysis of unstructured natural language texts including semantic technologies aimed at processing large volumes of data. …”
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Hypermobile Ehlers-Danlos Syndrome: Cerebrovascular, Autonomic and Neuropathic Features by Peter Novak, MD, PhD, David M. Systrom, MD, Sadie P. Marciano, PA-C, Alexandra Witte, PA-C, Arabella Warren, MD, PhD, Donna Felsenstein, MD, Matthew P. Giannetti, MD, Matthew J. Hamilton, MD, Jennifer Nicoloro-SantaBarbara, PhD, Mariana Castells, MD, Khosro Farhad, MD, David M. Pilgrim, MD, William J. Mullally, MD, Mark C. Fishman, MD, Jeff M. Milunsky, MD, Aubrey Milunsky, MD, Joel Krier, MD

“…Small fiber neuropathy using structural criteria was detected in 64%, and using combined structural and functional criteria in 82%. …”
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A Sociological study of the Relationship between Smartphone Addiction and Phubbing Case Study18-29 Year Old Females of Ramhormoz City by Ali Boudaghi, Ali Hossein Hosseinzadeh, Sayedeh Sara Mousavi Moghadam

“…Heliyon, 7(5), e07037.Hasan Esfahani, M., Khanjani, M. & Bazram, A. (2022). The factor Structure and psychometric properties of Generic Scale of Phubbing (GSP). …”
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Bridging the gap: cancer scientific equity, global child health, and distribution of CAR T-cell therapy clinical trials in childhood cancer by Kevin Fernando Montoya-Quintero, Johana Galván-Barrios, Darly Martinez-Guevara, Diana Dueñas, John Montenegro, Yamil Liscano

“…The Lasso model revealed key predictors such as deaths due to alcohol use (Coef. = 29.99) and obesity (Coef. = 9.62) in children aged 5–14. Findings reveal a structural misalignment between childhood cancer disease burden and research activity in advanced therapies. …”
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L-Malic Acid Descaler for Drinking Water—Physicochemical Analysis and Biological Activity by Teodora Todorova, Krassimir Boydzhiev, Ignat Ignatov, Teodora Petrova Popova, Zhechko Dimitrov, Irina Gotova, Fabio Huether, Alexander Ignat Ignatov, Yordan Georgiev Marinov

“…The L-malic acid descaler contains L-malic acid as the active component, while polyethylene and activated charcoal function as structural and absorbent materials, respectively. The composition was analyzed in a licensed laboratory using Chemical Abstracts Service Number (CAS) and European List of Notified Chemical Substances (EINECS) standards. …”
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Systematic review and network meta-analysis of retinal imaging biomarkers in neurodegenerative diseases: Correlation with brain changes by Farzaneh Nikparast, Zohreh Ganji, Hoda Zare, Nooshin Akbari-Sharak

“…Introduction: The retina and brain share a common embryonic origin and neural composition. Both undergo structural, vascular, and physiological changes in neurodegenerative diseases (NDs). …”
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Mapping hypertension control at the intersection of rurality and race and ethnicity, A study of US veterans by Michelle S. Wong, Kimberly E. Lind, Stephen Frochen, Anita H Yuan, Donna L. Washington

“…We described geographic variation in hypertension control by race, ethnicity, and rurality, using national Veterans Health Administration (VA) data. Our geographic unit of analysis was VA sectors, which are clusters of geographically adjacent counties within VA hospital catchment areas. …”
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Towards a ‘theory of change’ for ocean plastics: a socio-oceanography approach to the global challenge of plastic pollution by Alice A. Horton, Lesley Henderson, Cressida Bowyer, Winnie Courtene-Jones, Samantha L. Garrard, Nieke Monika Kulsum, Deirdre McKay, Imali Manikarachchige, Sreejith Sreekumar, Thomas Stanton

“…Relating to socio-oceanography, we argue that structural power imbalances in terms of how diverse communities and natural scientists are traditionally positioned within academic research mean that ‘formal’ scientific knowledge is frequently privileged, and members of communities risk being positioned as ’empty vessels’. …”
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Resilience and traumatic stress among Latinx english language learners: a cross-sectional study of students from an urban school district by Roya Ijadi-Maghsoodi, Sara Rahmanian Koushkaki, Alexandra Klomhaus, Hilary Aralis, Angela Venegas-Murillo, Lauren Marlotte, Sameera Siddiqi, Kungeun Lee, Shirley A. De La Cruz, Sheryl Kataoka

“…Abstract Background Latinx students in the United States can face stressors and structural inequities that can lead to poor academic and mental health outcomes. …”
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Risk Identification Method and Application of Roof Water Inrush Under Multi-Working Face Mining by Zhendi Huang, Kun Wang, Xuesheng Liu, Yongqiang Zhao, Xuebin Li, Biao Fu, Yu Zhou

“…Firstly, the key strata of the overburden are determined based on lithological and structural data from exploration boreholes. A formula is then derived to calculate the critical dimension (L) of the working face that could induce a fracture in the key stratum. …”
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Estimation of Rice Leaf Nitrogen Content Using UAV-Based Spectral–Texture Fusion Indices (STFIs) and Two-Stage Feature Selection by Xiaopeng Zhang, Yating Hu, Xiaofeng Li, Ping Wang, Sike Guo, Lu Wang, Cuiyu Zhang, Xue Ge

“…However, challenges such as spectral saturation and canopy structural variations across different growth stages complicate this task. …”
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Macrostructural and microstructural alterations of hippocampal subregions in T2DM: NODDI provides added value to DTI and volumetric analyses by Xuan Huang, Ziyu Diao, Die Shen, Jianyu Li, Jiahe Wang, Kun Wang, Shijun Qiu

“…Objective: We explored macrostructural and microstructural changes in the hippocampal subregions of patients with type 2 diabetes mellitus (T2DM) and compared the effectiveness of neurite orientation dispersion and density imaging (NODDI) with that of traditional diffusion tensor imaging (DTI) and volumetric analysis in detecting structural alterations. Methods: A total of 302 participants (128 T2DM patients and 174 healthy controls) underwent 3.0-T magnetic resonance imaging and neuropsychological assessments. …”
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The use of Artificial Intelligence (AI) in the hiring process: Job applicants’ perceptions of procedural justice by Md Sajjad Hosain, Mohammad Bin Amin, Gouranga Chandra Debnath, Md Atikur Rahaman

“…We used SPSS 26 for descriptive statistics and partial least squares structural equation modeling (PLS-SEM) through SmartPLS 4.0. …”
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Student experiences and perspectives on decolonising global health education: a qualitative study across five Nordic countries by Jennifer J. Infanti, Jessica Omija Korpela, Chloe Maria Stephenson, Astrid Blystad, Jane Brandt Sørensen, Jónína Einarsdóttir, Mekdes Kebede Gebremariam, Geir Gunnlaugsson, Tobias Herder, Meri Koivusalo, Jesper Löve, Karima Lundin, Mikko Perkiö, Soorej Jose Puthoopparambil, Klas-Göran Sahlen, Marte Emilie Sandvik Haaland, Jon Petter Stoor, Salla Atkins

“…Fourteen focus group discussions were conducted, and the data were analysed using qualitative content analysis principles. …”
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Combinations of multimodal neuroimaging biomarkers and cognitive test scores to identify patients with cognitive impairment by Yuriko Nakaoku, Soshiro Ogata, Kiyotaka Nemoto, Chikage Kakuta, Eri Kiyoshige, Kanako Teramoto, Kiyomasa Nakatsuka, Gantsetseg Ganbaatar, Masafumi Ihara, Kunihiro Nishimura

“…The addition of neuroimaging biomarkers and cognitive test scores significantly improved the performance of the model identifying MCI (p = 0.012 by DeLong’s test). The structural, perfusion, and diffusion MRI-derived biomarkers remained in the identification model with variable selection with the elastic net algorithm, and were thus considered important variables.ConclusionOur multisource elastic net model demonstrated high performance at detecting MCI, suggesting that the combination of multimodal neuroimaging biomarkers contributes to MCI discrimination.…”
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Towards the Albino Mutant Gene in <i>Malus × Domestica</i> Borkh. by Guodong Zhao, Yang Li, Linguang Jia, Dongmei Chen, Chaohong Zhang, Xinsheng Zhang, Fengqiu Yang, Tongsheng Zhao

“…Comparisons of the sequences for the albino mutants revealed 4,817,412 single-nucleotide polymorphisms (SNPs), 721,688 insertion/deletion markers (InDels), and 43,072 structural variations (SVs). The genes with non-synonymous SNPs, InDels, and SVs in CDS were compared with KEGG, GO, COG, NR, and SwissProt databases, and a total of 5700 variant genes were identified. …”
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Echocardiographic features of amyloid cardiomyopathy phenotypes in patients with different types of amyloidosis by Olga Ya. Сhaikovskaya, Marina A. Saidova, Svetlana V. Dobrovolskaya, Anastasia A. Shoshina, Svetlana N. Nasonova, Igor V. Zhirov, Sergey N. Tereshchenko

“…Among patients with ACM, the following phenotypes were reported: hypertrophic phenotype (HP), a combination of hypertrophic and restrictive phenotypes (HP+RP), a combination of hypertrophic, restrictive phenotypes and ejection fraction (EF) less than 50% (HP+RP+EF50%), and patients with minimal structural changes. In patients with HP+RP+EF50%, significantly greater thickness of the LV posterior wall (p=0.025) and the relative wall thickness (p=0.010) were found; the LV global longitudinal strain was lower (p=0.001). …”
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