Preliminary analysis of patient assessment within a study on the impact of hydrokinetotherapy on body composition and metabolic disease risk in an adult population segment by Claudiu Cobuz, Sînziana Călina Silișteanu, Maricela Cobuz, Andrei-Ioan Costea, Elena Vizitiu Lakhdari

“…In parallel with this research, a hydrokinetotherapy model adapted to this population is proposed for development. Results: The interpretation of BMI data for women aged 40-60 revealed significant variability in this group’s body composition, as was also observed in women aged 61-80. …”
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Pilot Study of a Modified DOPS Scale for Insulin Pump and CGM Installation Training in Chinese Medical Students During Endocrinology Rotations by Yuan Y, Wang C, Wen S, Li Y, Xu C, Yu F, Li X, He Y, Chen L, Ren Y, Zhou L

“…Key elements of the modified DOPS include 1) Knowledge Assessment: Evaluating understanding of PUMP and CGMS, including interpreting CGMS data for insulin adjustments; 2) Operational Skills: Assessing correct PUMP needle insertion, programming, and adjustments; 3) Patient Safety: Ensuring safe and aseptic procedures; 4) Feedback: Providing constructive feedback to help students improve their skills.Results: Training through DOPS led to significant improvements in all domains, overall performance scores, and reduced execution time for each domain. …”
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Assessing cardiovascular disease risk and social determinants of health: A comparative analysis of five risk estimation instruments using data from the Eastern Caribbean Health Out... by Jeremy I Schwartz, Christina Howitt, Sumitha Raman, Sanya Nair, Saria Hassan, Carol Oladele, Ian R Hambleton, Daniel F Sarpong, Oswald P Adams, Rohan G Maharaj, Cruz M Nazario, Maxine Nunez, Marcella Nunez-Smith

“…We found associations between food insecurity, those with the lowest level compared to the highest level of education, and non-professional occupation and increased estimated CVD risk.<h4>Interpretation</h4>Our findings highlight significant discrepancies in CVD risk estimation across tools and underscore the potential impact of incorporating SDoH into risk assessment. …”
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„Dobrá památka“, pohřební kázání a starší dějepisectví. Německé pohřební kázání nad kardinálem Harrachem z roku 1667 by Radmila Pavlíčkova

“…Hier drängt sich die Frage auf, inwieweit die Prediger in ihrer Konstruktion und Interpretation des Lebens eines Verstorbenen erfolgreich waren – ob und auf welche Weise die Leichenpredigten als eine relevante historische Quelle durch die zeitgenössische und moderne Historiographie rezipiert worden sind. …”
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卒中：回眸2024 Highlights in Stroke in 2024 by 熊云云1，2，3，4，李光硕1，马宇洁1，李祉馨1，沈柯佳1，马瑛1，孙大鹏1，孙溢阳1，王拥军1，2，3，5，6，7（XIONG Yunyun1,2,3,4, LI Guangshuo1, MA Yujie1, LI Zhixin1, SHEN Kejia1, MA Ying1, SUN Dapeng1, SUN Yiyang1, WANG Yongjun1,2,3,5,6,7 ）

“…This article aims to summarize and interpret the key clinical research findings in the field of cerebrovascular diseases in 2024, providing readers with a better understanding of the current research hotspots and deeply understand their significance.…”
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Spatiotemporal Evolution and Driving Mechanisms of kNDVI in Different Sections of the Yangtze River Basin Using Multiple Statistical Methods and the PLSPM Model by Zhenjiang Wu, Fengmei Yao, Adeel Ahmad, Fan Deng, Jun Fang

“…Compared to traditional correlation analysis and the geographical detector method, PLSPM, as a theoretically driven statistical method, can simultaneously process path relationships among multiple latent variables, effectively revealing the intensity and pathways of driving factors’ influences, while providing more credible and interpretable explanations for kNDVI variation mechanisms. …”
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Five lessons from a mid-level health manager intervention to increase uptake of tuberculosis prevention therapy in Uganda: ‘it is a completely different thing to implement what you... by Jason Johnson-Peretz, Canice Christian, Cecilia Akatukwasa, Fred Atwine, Elijah Kakande, Moses R. Kamya, Diane V. Havlir, Carol S. Camlin, Gabriel Chamie

“…When it is neglected, root issues like unclear decision-making space and local authority to interpret policy during implementation remain unaddressed. …”
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A Survey of Machine Learning in Edge Computing: Techniques, Frameworks, Applications, Issues, and Research Directions by Oumayma Jouini, Kaouthar Sethom, Abdallah Namoun, Nasser Aljohani, Meshari Huwaytim Alanazi, Mohammad N. Alanazi

“…Machine learning models interpret such sensor data, enabling accurate predictions and informed decisions. …”
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Petrophysical Regression regarding Porosity, Permeability, and Water Saturation Driven by Logging-Based Ensemble and Transfer Learnings: A Case Study of Sandy-Mud Reservoirs by Shenghan Zhang, Yufeng Gu, Yinshan Gao, Xinxing Wang, Daoyong Zhang, Liming Zhou

“…From a general review, most petrophysical models applied for the conventional logging interpretation imply that porosity, permeability, or water saturation mathematically have a linear or nonlinear relationship with well logs, and then arguing the prediction of these three parameters actually is accessible under a regression of logging sequences. …”
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KANTO ETIKOS PĖDSAKAI R. M. HARE’O PERSPEKTYVIZME by Jūratė Baranova

“…Hume according his interpretation with this insight comes very close to Kant. …”
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Naming the untouchable – environmental sequences and niche partitioning as taxonomical evidence in fungi by Faheema Kalsoom Khan, Kerri Kluting, Jeanette Tångrot, Hector Urbina, Tea Ammunet, Shadi Eshghi Sahraei, Martin Rydén, Martin Ryberg, Anna Rosling

“…The lack of practices to delimit and name most fungal species is a staggering limitation to communication and interpretation of ecology and evolution in kingdom Fungi. …”
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A prospective, cross-sectional study to establish age-specific reference intervals for neonates and children in the setting of clinical biochemistry, immunology and haematology: th... by Susan M Donath, Monsurul Hoq, Vicky Karlaftis, Susan Mathews, Janet Burgess, John Carlin, Paul Monagle, Vera Ignjatovic

“…Introduction The clinical interpretation of laboratory tests is reliant on reference intervals. …”
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Development and validation of a pragmatic measure of cocreation in research engagement: a study protocol by Bethany M Kwan, Carter Sevick, Cathleen Willging, Bryan J Weiner, Janice Tufte, Brooke Dorsey Holliman, Monica Perez Jolles, Danielle Ostendorf

“…We will then conduct cognitive interviews with a new group of 40 participants to assess survey item comprehension and interpretation, applying an iterative coding process to analyse the data. …”
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Longitudinal Metabolomics Data Analysis Informed by Mechanistic Models by Lu Li, Huub Hoefsloot, Barbara M. Bakker, David Horner, Morten A. Rasmussen, Age K. Smilde, Evrim Acar

“…<b>Conclusions</b>: The joint analysis of real measurements and simulated data (generated using a mechanistic model) through coupled tensor factorizations guides real data analysis with prior information encapsulated in mechanistic models and reveals interpretable patterns.…”
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Mini Worldlit: A Dataset of Contemporary Fiction from 13 Countries, Nine Languages, and Five Continents by Andrew Piper, David Bamman, Christina Han, Jens Bjerring-Hansen, Hoyt Long, Itay Marienberg-Milikowsky, Tom McEnaney, Mathias Iroro Orhero, Emrah Peksoy, Pallavi Rastogi, Sebastian Rasmussen, Roel Smeets, Alexandra Stuart, Mads Rosendahl Thomsen

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Acid-Base Status Disturbances in Patients on Chronic Hemodialysis at High Altitudes by Javier Enrique Cely, Oscar G. Rocha, María J. Vargas, Rafael M. Sanabria, Leyder Corzo, Roberto E. D'Achiardi, Eduardo A. Zúñiga

“…Normal values for the altitude of Bogotá were taken into consideration for the interpretation of the arterial blood gases. Results. 43% (n= 40) of patients showed predialysis normal acid-base status. …”
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Automated post-run analysis of arrayed quantitative PCR amplification curves using machine learning [version 1; peer review: awaiting peer review] by David Garrett Brown, Darwin J. Operario, Lan Wang, Shanrui Wu, Daniel T. Leung, Eric R. Houpt, James A. Platts-Mills, Jie Liu, Ben J. Brintz

“…However, the manual post-run analysis of TAC data is time consuming and subject to interpretation. We sought to automate the post-run analysis of TAC data using machine learning models. …”
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Water Quality Assessment of Rivers in Aquatic Eco-environmental Function Regions in Changzhou City by WANG Xuesong, ZHANG Ge, LI Ying, XU Jinqian, CAI Yongjiu

“…In 2018,57 monitoring sections were arranged for a quarterly water quality survey in Changzhou,which can help grasp the water quality of 13 aquatic eco-environmental function regions.The current situation,characteristics of spatial heterogeneity,and seasonal changing laws of main water quality indicators are evaluated by multiple methods such as the water quality grade analysis,comprehensive water quality identification index (WQII) method,redundancy analysis,and principal component analysis.In this way,we can explore the major influencing factors of water quality.The results are as follows:① In 2018,the water quality of rivers in Changzhou City was mainly classified as Grade IV according to the Environmental Quality Standards for Surface Water (GB 3838—2002),which indicates the poor water quality.② The results show significant spatio-temporal difference in the concentration of main water quality indicators,and the water quality in the western hills is better than that in the eastern plains.The grade of water quality is higher in summer and autumn than in spring and winter.③ From the perspective of aquatic eco-environmental function regions,the water quality of III-09 (ecologically Grade III), IV-02 (ecologically Grade IV),and IV-03 (ecologically Grade IV) regions in the eastern urban area is poor,while the water quality of I-02 (ecologically Grade I), II-01 (ecologically Grade II),III-08 (ecologically Grade III) regions in the west is good.The grades of aquatic eco-environmental function regions are highly consistent with the water quality,which proves that the function regions can provide scientific reference for the monitoring, assessment,and environmental management of water quality.④ The redundancy analysis shows that the land for construction is the main influencing factor in the deterioration of water quality.The increase in the relative proportion of arable land and the decrease in the aquatic area closely correlate with the deterioration of water quality when the scale is over 2,000 m.⑤ The principal component analysis indicates that the five-day biochemical oxygen demand,COD,and permanganate index have high interpretation rates.This shows that the water quality of rivers in Changzhou City is mainly affected by organic pollution and eutrophication. …”
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SCIENTIFIC PARADIGM SHIFT AS THE BACKGROUND OF LANGUAGE EDUCATION by V. D. Tabanakova

“…Semantic information processing is carried out by linguists «manually»; therefore, fundamental linguistic knowledge is required in the fields of semantics, syntactics, pragmatics of the language sign, laws of linguistic nominations, laws of references, regularities of perception and reproduction, mechanisms of understanding and interpretation, etc.Practical significance. Philosophical conceptualization of a modern paradigm of scientific linguistic knowledge allows to draw a conclusion on the need of fundamental linguistic education support at the high level on behalf of preservation, realization and full development of all unique functions of a natural language as means of thinking and communication, a tool of information technologies and a sign system, and, at last, as a cultural phenomenon.…”
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Effect of nutrition education on hemoglobin level of pregnant women in Southeast Ethiopia: a cluster randomized controlled trial by Girma Beressa, Susan J. Whiting, Tefera Belachew

“…Beta coefficients (β) along with a 95% confidence interval (CI) were used for interpretations. Results The mean difference in Hgb levels between the intervention and control groups was 0.12 ± 0.04 (P value < 0.002). …”
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