3D-printed gallium-infused scaffolds for osteolysis intervention and bone regeneration by Hanrui Xi, Xihao Jiang, Shilang Xiong, Yinuo Zhang, Jingyu Zhou, Min Liu, Zhigang Zhou, Chengyu Zhang, Shiwei Liu, Zhisheng Long, Jianguo Zhou, Guowen Qian, Long Xiong

“…Subsequently, cranial defects were repaired in a rat model of osteoporosis to assess the therapeutic efficacy and biological safety of the optimal concentration of the Ga-MBG/TCP composite scaffold. …”
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A review of vortex water turbine design for sustainable energy generation (principles, optimization, and validation) by Zamzami, Akhyar Akhyar, Sarwo Edhy Sofyan, Suriadi, Khairil

“…The article explores advancements in intelligent water vortex turbine design, incorporating cutting-edge manufacturing methods like Computer-Aided Design (CAD) modeling, simulation, and 3D printing. …”
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Analysis of the Blasting Compaction on Gravel Soil by Qingwen Li, Yuan Li, Gautam Dasgupta, Dongping Song, Lan Qiao, Liping Wang, Jianghui Dong

“…The traditional construction methods have the characteristic with less soil thickness compacted at a time. …”
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Exploring the Causal Relationship Between Gut Microbiota and Pulmonary Artery Hypertension: Insights From Mendelian Randomization by Lihuang Su, Xinghong Wang, Ya Lin, Yiying Zhang, Dan Yao, Tongtong Pan, Xiaoying Huang

“…We aimed to investigate the causal relationship between the gut microbiota and PAH using Mendelian randomization analysis, identify key microbiota and metabolites, and explore the regulatory role of associated genes in PAH pathogenesis. Methods and Results We examined the association between gut microbiota taxa and PAH using inverse variance weighted 2‐sample Mendelian randomization analysis, Mendelian randomization–Egger, weighted median, and weighted mode methods. …”
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Modulating Osteoclast Activity and Immune Responses with Ultra-Low-Dose Silver Nanoparticle-Loaded TiO₂ Nanotubes for Osteoporotic Bone Regeneration by Zhen Wang, Penghui Xiang, Zhe Xu, Meiqi Gu, Rui Zhang, Yifei Li, Fei Xin, Chengla Yi

“…The morphology and elemental composition of the Ag@TiO₂-NTs structures were characterized using scanning electron microscopy (SEM) and related methods. …”
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Do leaf traits shape herbivory in tropical montane rainforests? A multispecies approach by Jana E. Schön, Raya Keuth, Jürgen Homeier, Oliver Limberger, Jörg Bendix, Nina Farwig, Roland Brandl

“…We established nine 1‐ha square plots evenly distributed over three different forest types in Ecuadorian tropical montane rainforests where we estimated herbivory as the leaf area loss (in square centimeters) of 20 (±5) leaves sampled from the canopies of 380 tree individuals belonging to 51 tree species (7 ± 1 individuals/species) using lab‐ and spectral‐sensing‐based methods. For each methodological approach, we ran 100 linear mixed‐effects models with all respective leaf traits as predictor and herbivory as response variables for data subsets containing one randomly selected tree individual of each species to estimate the range of the regression coefficients for each trait. …”
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INDIVIDUAL STYLE OF PROFESSIONAL ACTIVITY OF FUTURE PSYCHOLOGISTS: ESSENCE AND WAYS OF FORMATION IN THE EDUCATIONAL PROCESS OF A HIGHER EDUCATION INSTITUTION by Volkova Nataliia, Bykova Viktoriia

“…The purpose of the article is to substantiate the essence, the component composition of the individual style of professional activity of future psychologists, the ways of its formation in terms of the educational environment of a higher education institution. …”
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Metformin carbon dots-based osteogenic and protein delivery system to promote bone regeneration in periodontitis by Jingjing Wei, Kai Wang, Yongkai Li, Jiao Huang, Ping Deng, Xianbo Xia, Cong Yang, Ling Xu, Junji Xu

“…Furthermore, in vitro and in vivo studies demonstrated that the Gel/MCDs@IGF-1 composite hydrogel effectively recruited stem cells, exerted early anti-inflammatory effects, increased the osteogenesis of hPDLSCs under inflammatory conditions, and significantly promoted alveolar bone regeneration in a Sprague–Dawley (SD) rat model of periodontitis. …”
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Integrating deep learning in public health: a novel approach to PICC-RVT risk assessment by Yue Li, Yue Li, Shengxiao Nie, Lei Wang, Dongsheng Li, Shengmiao Ma, Ting Li, Hong Sun

“…It also seeks to identify key predictive factors for PICC-RVT using these models.MethodsWe conducted a retrospective multi-center cohort study involving 5,272 patients who underwent PICC placement. …”
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Analysis of the Airframe Repair Node by Marek Rośkowicz, Iga Barca

“…The boundary conditions were defined by means of an articulated frame using the possibilities of the computing environment in the scope of, defining elements among others. The model was initially verified experimentally, assuming that it can be used to carry out a comparative analysis of two methods of repairing a damaged plate, using CFRP (Carbon Fiber Reinforced Polymer) and GFRP (Glass Fiber Reinforced Polymer) materials. …”
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The Impact of Obesity on the Association between Parity and Risk of Type 2 Diabetes Mellitus by Yuki Gen, Kyuho Kim, Joonyub Lee, Junyoung Jung, Sang-Hyuk Jung, Hong-Hee Won, Dokyoon Kim, Yun-Sung Jo, Yu-Bae Ahn, Seung-Hyun Ko, Jae-Seung Yun

“…This study aims to explore the complex relationship between parity and T2DM risk, considering additional factors such as obesity, race, and body composition. Methods This prospective cohort study used data from 242,159 women aged 40 to 69 from the UK Biobank, none of whom had T2DM at baseline. …”
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Integrated analysis of microbiome and metabolome reveals insights into cervical neoplasia aggravation in a Chinese cohort by Qingzhi Zhai, Luyang Zhao, Mingyang Wang, Li Li, Li-an Li, Mingxia Ye, Mingxia Li, Chengfeng Xu, Yuanguang Meng

“…Through random forest modeling and ROC curve analysis, we identified a combination of key microbiota (Porphyromonas, Pseudofulvibacter) and metabolites (Cellopentaose, PGE2) as diagnostic biomarkers with high diagnostic value for CC. …”
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Vision-related Quality of Life (VRQOL) and its determinants among the Elderly in rural blocks of Haryana, India by Mona Duggal, Ankita Kankaria, Latika Rohilla, Harashish Jindal, Limalemla Jamir, Parul Chawla Gupta, Debarati Sarkar, Vaibhav Miglani, Akash Kumar, Drishti Sharma, Neha Dahiya, Siddhartha Sharma, Sandeep Grover

“…Chi-Sq. test or Fisher's for categorical variables and multivariable linear regression model was run to calculate the determinants of the VFQ composite score. …”
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Preparation and quality evaluation of enrofloxacin nanoemulsion by YANG Xue-feng, QI Yong-hua, NING Hong-mei, WANG Qing-hua

“…A pseudo-ternary phase diagram was established to investigate the effect of various compositions on the formation region of the nanoemulsion. …”
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Optimization of dye effluent decolorization by halotolerant Halomonas strain D2 in static culture condition by Ali Partovinia, Maryam Otadi, Amirhossein Alaedini

“…There are several chemical, physical, biological, optical, and combinational methods for different pollutant removal from the environment. …”
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The Application of S-Substituted Pteridine for CCl₄-Induced Acute Hepatitis Treatment in Rats by Natalia Lohvinenko, Volodymyr Shvets, Oleksii Antypenko, Oleksii Voskoboinik, Andrii Bozhkov, Hanna Maslak, Valentyn Oksenych, Oleksandr Kamyshnyi, Sergiy Okovytyy, Serhii Kovalenko

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Effectiveness of a school-based high-intensity interval training intervention in adolescents: study protocol of the PRO-HIIT cluster randomised controlled trial by Yong Liu, Alan R. Barker, Anna-Lynne R. Adlam, Minghui Li, Stephanie L. Duncombe, Andrew O. Agbaje, Yaodong Gu, Huiyu Zhou, Craig A. Williams

“…Therefore, a PRO-HIIT intervention will be conducted to evaluate the effectiveness of a 12-week school-based HIIT intervention on cardiorespiratory fitness, physical activity, body composition, muscular strength, bone health, cognitive function, wellbeing and academic performance among 12–13-year-olds.Methods and analysisEight classes of year 7 students (12–13-year-olds) from a secondary school in Ningbo, China, will be recruited and randomly allocated into an intervention or control group. …”
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Can muscle synergies shed light on the mechanisms underlying motor gains in response to robot-assisted gait training in children with cerebral palsy? by Gloria P. Vergara-Diaz, Stefano Sapienza, Jean-François Daneault, Eric Fabara, Catherine Adans-Dester, Giacomo Severini, Vincent C. K. Cheung, Carmen Echevarría Ruiz de Vargas, Donna Nimec, Paolo Bonato

“…Results Three and, less often, two muscle synergies were detected in study participants pre-RGT. Linear mixed effect models showed that composition of the muscle synergies and their temporal activation coefficients present deviations from normative data proportional to the severity of functional limitations (i.e., GMFCS levels, p < 0.01). …”
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Effects of meglumine antimoniate and allopurinol treatment on the fecal microbiome profile in dogs with leishmaniosis by Joan Martí-Carreras, Marina Carrasco, Marc Noguera-Julian, Olga Francino, Rodolfo Oliveira Leal, Lluís Ferrer, Gaetano Oliva, Jenifer Molina, Xavier Roura

“…Linear discriminant analysis and multivariable modeling confirmed that the microbial community structure was resilient to treatment effects. …”
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Coffee plant disease identification with an attentive multi-image segmentation framework (MISF) with CycleGAN by Savitri Kulkarni, P. Deepa Shenoy, K.R. Venugopal

“…This targeted segmentation ensures that the subsequent synthetic image generation and classification processes focus only on meaningful disease features, thereby enhancing model accuracy and generalization. In comparison to existing state-of-the-art methods that rely on generic GAN-based augmentation or shallow CNN classifiers, our approach integrates attentive segmentation with an enhanced CycleGAN to generate lesion-focused synthetic data. …”
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