Intratumoral microbiota composition in women’s cancers: a systematic review and meta-analysis by Qin Wen, Qin Wen, Shubin Wang, Shubin Wang, Shunlian Fu, Xinxiang Zhou, Xinxiang Zhou, Yalan Min, Yalan Min, Jinyi Lang, Jinyi Lang, Meihua Chen

“…This systematic review provides a comprehensive overview of the current literature regarding the diversity and compositional characteristics of the intratumoral microbiota in women’s cancers. …”
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A Correlation Study of Anthropometric Measurements and Body Compositions with Thyroid Hormones in Hypothyroidism Patients by Anupam Kumar, Santosh Kumar Singh, Kumar Pushkar, Rahil Arora, Vani Singh, Parrina Sehgal, Srishti Khullar

“…Among anthropometric measurements, the total fat percentage demonstrated a positive correlation with all thyroid hormones, suggesting that the total fat percentage may be a more accurate predictor of thyroid hormone levels than other anthropometric variables alone.…”
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Fault Detection and Isolation Strategy for Brake Actuation Units of High-Speed Trains Under Variable Operating Conditions by Jingxian Ding, Tianyu Xia, Xinzhou Wu, Shize Zheng, Tianyi Wang

“…Firstly, the structural composition and working principle of the BAU were introduced, and its typical failure modes and effects were analyzed. …”
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Optimized gallium extraction from Bayer liquor using ion exchange: Experimental modeling in batch mode and demonstration in continuous columns by Hesamoddin Gorzin, Mohadeseh Babaei Layaei, Mojtaba Dehghani, Mehrdad Mahmoudi, Salman Movahedirad

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Resistance training as a modulator of inflammation and cognition by Jacqueline Goodrich, Jamie L. Tartar, Jonathan Banks, Francesca Leon, Jose Antonio

“…Pearson correlations were also conducted to explore the relationship between biomarkers (CRP, IL-6, cortisol) and cognitive outcomes, with secondary analysis examining the impact of PSQI and lifestyle variables on the study’s results through within-subjects Pearson correlations.Results Paired t-tests revealed significant improvements in cognitive performance: Flanker (t(14) = 5.27, p < .001), Stroop (t(14) = -4.61, p < .001), and composite cognition (t(14) = -5.11, p < .001), along with increased muscle mass (t(14) = -4.21, p < .001). …”
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Dynamic Properties of Concrete Composite Panels under Eccentric Compression Loading Tests by Max De Castro MAGALHAES, Roberto Marcio da SILVA

“…The main aim of this paper is to examine the variability of some dynamic properties of concrete composite panels to in-plane eccentric compression loads via static and dynamic impact testing. …”
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Characterization of the mean and extreme Mediterranean cyclones and their variability during the period 1500&thinsp;BCE to 1850&thinsp;CE by O. Doensen, O. Doensen, M. Messmer, M. Messmer, M. Messmer, W. M. Kim, W. M. Kim, C. C. Raible, C. C. Raible

“…For the cyclone frequency, a weak statistical relationship is identified with the East Atlantic (EA), East Atlantic/Western Russia (EAWR), and Scandinavian (SCAN) modes of circulation. Composite analyses of the most extreme cyclones with respect to wind speed and precipitation indicate that cyclones in the central Mediterranean have the potential to grow more intense over their entire lifetime than cyclones in the eastern Mediterranean. …”
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A safety risk assessment method for TBM tunnel construction based on attribute interval identification theory by Bo Wang, Qikai Li, Zefan Xu, Shibin Niu, Xiangtian Nie

“…To account for the dynamic nature of safety risks during TBM tunnel construction, variable weight theory is incorporated, allowing for a more accurate reflection of the time-varying importance of risk indicators. …”
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A comparison between male judo-kas and karate-kaswithin body composition and physical fitness by Satpal Yadav

“…To see the significant difference of selected body composition and physical fitness variables among the male Judokas and Karatekas from three different weight categories namely light weight, middle weight and heavy weight, the analysis of “mean, standard deviation and t test” was applied at .05 level of significance. …”
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The effect of preheating resin composites on surface hardness: a systematic review and meta-analysis by Ali A. Elkaffas, Radwa I. Eltoukhy, Salwa A. Elnegoly, Salah H. Mahmoud

“…Moreover, the microhardness of the Z250 resin composite on the bottom surface in the preheated mode (71.8 ± 3.8) was higher than in the non-preheated mode (57.5 ± 5.7, p < 0.001).ConclusionsAlthough the results reported in the reviewed studies showed great variability, sufficient scientific evidence was found to support the hypothesis that preheating can improve the hardness of resin composites.…”
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The Relationships among Exercise Behavior, Body Composition and Perceived Health Levels in University Students by Levent Sangün, Dilek Sevimli, Tuğba Uluer

“…This study aims to investigate the relationship between regular physical activity level, body composition and perceived health levels of university students. …”
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Local structural distortions drive magnetic molecular field in compositionally complex spinel oxide by Rukma Nevgi, Subha Dey, Nandana Bhattacharya, Soheil Ershadrad, Tinku Dan, Sujay Chakravarty, S. D. Kaushik, Christoph Klewe, George E. Sterbinsky, Biplab Sanyal, Srimanta Middey

“…Abstract Understanding how local distortions determine the functional properties of high entropy materials, containing five or more elements at the same crystallographic site, is an open challenge. …”
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Site-specific growth dynamics and yield patterns in Populus deltoides against edaphic variability over seven age-gradations. by Ashok Kumar Dhakad, Tarsem Singh, Avtar Singh, Kuldip Singh

“…Significant differences in soil texture and characteristics were noted across the three poplar stands (PS1, PS2 and PS3) due to variations in soil particle composition with depth. PS2 had more silt and clay with higher electrical conductivity (EC) and saturated hydraulic conductivity (SHC), while PS1 was richer in phosphorus, and PS3 had sandy textures and higher organic matter content. …”
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The Influence of the Seasonal Variability of <i>Candida</i> spp. Bloodstream Infections and Antifungal Treatment: A Mediterranean Pilot Study by Paola Di Carlo, Nicola Serra, Ornella Collotta, Claudia Colomba, Alberto Firenze, Luigi Aprea, Salvatore Antonino Distefano, Andrea Cortegiani, Giovanni Giammanco, Teresa Maria Assunta Fasciana, Roberta Virruso, Angela Capuano, Consolato M. Sergi, Antonio Cascio

“…</i><i>parapsilosis was</i> more frequent in dead patients (53.2%, <i>p</i> = 0.005). …”
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The Influence of the Variability of the Profibrinolytic Response of the Blood Vessel Wall on the Effectiveness of Treatment of Primary Open-Angle Glaucoma. Part 3 by S. I. Makogon, A. P. Momot

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COMPARATIVE PHYSIOLOGICAL AND BODY COMPOSITION PARAMETERS IN TEAM SPORTS AND SPRINT TRAINED INDIAN ATHLETES by Subhojit Chatterjee, Usra Hasan, Subhra Chatterjee

“…Introduction: Physiological and body composition variables have important role for assessment of training status and evaluation of health status of athletes. …”
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Unlocking chickpea flour potential: AI-powered prediction for quality assessment and compositional characterisation by Ali Zia, Muhammad Husnain, Sally Buck, Jonathan Richetti, Elizabeth Hulm, Jean-Philippe Ral, Vivien Rolland, Xavier Sirault

“…However, the inherent variability in the composition of chickpea flour, influenced by genetic diversity, environmental conditions, and processing techniques, poses significant challenges to standardisation and quality control. …”
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Enrichment of Breadsticks with Flavoured Oils: Chemical Composition, Antioxidant Activity and Technological and Sensory Properties by Vincenzo Sicari, Antonio Mincione, Irene Maria Grazia Custureri, Roberta Pino, Monica Rosa Loizzo

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Adaptive capacity management in municipalities in the Semiarid region of Brazil: Application of a composite index by Yonara Claudia dos Santos, Zoraide Souza Pessoa

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SUMMARIA — A XAI Support Methodology by Generating Composite Linguistic Summaries of Qualitative Data by Carlos Rafael Rodríguez-Rodríguez, Yeleny Zulueta-Veliz, Dainys Gainza-Reyes

“…Abstract The main stream of Linguistic Data Summarization involves modeling numerical attributes using linguistic variables, which makes it difficult addressing real-world problems with qualitative or mixed data. …”
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