Hematological features of mine-blast trauma, accompanied by acubarotrauma, among servicemen - participants in high-intensity combat operations by S. A. Husieva, G. V. Osyodlo, I. P. Goncharov, O. Ya. Antonyuk, Yu. Ya. Kotyk, A. V. Gusev, М. Е. Krol, I. V. Malysh, Ya. M. Klimenko, S. V. Ткаchenko

“…For each group of patients, the arithmetic mean (M), the mean square deviation (Ϭ), and the error of the arithmetic mean (m) were calculated. …”
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Simplified Physical Stability Assessment of Chilean Mine Waste Storage Facilities Using GIS and AI: Application in the Antofagasta Region by Gabriel Hermosilla, Gabriel Villavicencio, Giovanni Cocca-Guardia, Vicente Aprigliano, Manuel Silva, Juan Carlos Quezada, Pierre Breul, Vinicius Minatogawa, Jaime Morales

“…This approach reduces analysis time and minimizes human error. Validated in the Antofagasta Region, Chile’s primary mining area, we identified and evaluated 70 WRD and 54 LWD. …”
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Transformative agency of students as a resource to form civic consciousness in education system by M. V. Pevnaya, A. N. Tarasova, D. F. Telepaeva, D. S. Protasov

“…The authors analysed the data of a mass survey of young people in the Sverdlovsk region from 14 to 24 years old from 79 settlements of the region, carried out by the questionnaire method. 996 people were interviewed, the sample is representative, the error is no more than 3,5%. …”
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Body morphometric measurements of Azakheli buffaloes: A neglected animal genetic resource of Pakistan by S. Rahman, I. Zahoor, R. Amjad, A. Basheer

“…The body morphometric measurements of 220 adult (33 males and 187 females) animals were taken, in centimeters, for 26 different biometric parameters, including chest girth (CG), body length (BL), barrel depth (BD), height-at-withers (HW), hip height (HH), face length (FL), face width (FW), ear length (EL), ear width (EW), horn length (HL), horn circumference (HC), neck length (NL), neck width (NW), rump length (RL), rump width (RW), thurl width (TW), tail length (TL), tail circumference (TC), pin-bone distance (PBD), fore-teat length (FtL), fore-teat circumference (FtC), rear-teat length (RtL), rear-teat circumference (RtC), testes length (TesL), testes width (TesW), and scrotal circumference (SC) with the help of a measuring tape and scale. The data were subjected to descriptive and Pearson correlation analysis in R-studio. …”
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Effect of Hematopoietic Stem Cell Transplantation Regimen on Tacrolimus Pharmacokinetics by Haruno Oku, BS, Saki Yoshida, BS, Takumi Hotta, BS, Hirohito Muroi, BS, Keizo Fukushima, PhD, Kei Irie, PhD, Tatsuya Hirano, BS, Yoshimitsu Shimomura, MD, Takayuki Ishikawa, MD, PhD, Hiroaki Ikesue, PhD, Nobuyuki Muroi, PhD, Tohru Hashida, PhD, Nobuyuki Sugioka, PhD

“…Methods: We retrospectively analyzed clinical data—including whole-blood tacrolimus concentrations—from patients with HSCT. …”
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A thermal-electrical-mechanical coupling framework solving the deformation characterized by extreme adiabatic heating and geometric non-uniformity by H.C. Sun, J.S. Yan, S. Yang, Y. Li, L.L. Zhu, H. Zhang, N. Ueshima, Y.X. Liu, K. Oikawa, L. Jiang, J.J. Ruan

“…The coupled framework achieved high accuracy, with simulated load-stroke curves aligning closely with experimental data (<10 % error) and temperature control within ±2 °C of targets. …”
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Diabetes distress among immigrants of south Asian descent living in New York City: baseline results from the DREAM randomized control trial by Farhan Mohsin, Laura Wyatt, Hayley Belli, Shahmir Ali, Deborah Onakomaiya, Supriya Misra, Yousra Yusuf, Shinu Mammen, Jennifer Zanowiak, Sarah Hussain, Haroon Zafar, Sahnah Lim, Nadia Islam, Naheed Ahmed

“…Future research can benefit from a longitudinal analysis of the impact of DD on diabetes self-management and health outcomes. …”
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Development, validation, and demonstration of the rotary parlor model by Ryan Prendergast, John Upton, Fergal Buckley, Michael D. Murphy

“…Model validation produced mean absolute percentage error values of 3.3%, 3.5%, and 2.9% for MPT, cows/h, and L/h metrics, respectively. …”
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Atmospheric stability from numerical weather prediction models and microwave radiometer observations for onshore and offshore wind energy applications by D. Cimini, D. Cimini, R. Gandoin, S. Fiedler, S. Fiedler, C. Acquistapace, A. Balotti, S. Gentile, S. Gentile, E. Geraldi, C. Knist, P. Martinet, S. T. Nilo, G. Pace, B. Pospichal, F. Romano

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Prospects of Predicting the Polar Motion Based on the Results of the Second Earth Orientation Parameters Prediction Comparison Campaign by Tomasz Kur, Justyna Śliwińska‐Bronowicz, Malgorzata Wińska, Henryk Dobslaw, Jolanta Nastula, Aleksander Partyka, Santiago Belda, Christian Bizouard, Dale Boggs, Sara Bruni, Lue Chen, Mike Chin, Sujata Dhar, Robert Dill, PengShuo Duan, Jose M. Ferrandiz, Junyang Gou, Richard Gross, Sonia Guessoum, Songtao Han, Robert Heinkelmann, ChengLi Huang, Christopher Irrgang, Jacek Kudrys, Jia Li, Marcin Ligas, Lintao Liu, Weitao Lu, Volker Mayer, Wei Miao, Maciej Michalczak, Sadegh Modiri, Michiel Otten, Todd Ratcliff, Shrishail Raut, Jan Saynisch‐Wagner, Matthias Schartner, Erik Schoenemann, Harald Schuh, M. Kiani Shahvandi, Benedikt Soja, Xiaoqing Su, Daniela Thaller, Maik Thomas, Guocheng Wang, Yuanwei Wu, CanCan Xu, Xueqing Xu, Xinyu Yang, Xin Zhao, Zhijin Zhou

“…Predictions of PMy are usually more accurate and have a smaller spread across all submitted files when compared to PMx. We present an analysis of similarity between the participants to indicate what methods and input data give comparable output. …”
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The Relationship between Managers’ Overconfidence and Dividend Stickiness: The Moderating Role of Catering Incentives by Abbas Aflatooni

“…Data analysis was performed using Stata software. …”
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Predicting Seasonal Deformation Using InSAR and Machine Learning in the Permafrost Regions of the Yangtze River Source Region by Jie Chen, Xingchen Lin, Tonghua Wu, Junming Hao, Xiaodong Wu, Defu Zou, Xiaofan Zhu, Guojie Hu, Yongping Qiao, Dong Wang, Sizhong Yang, Lina Zhang

“…The developed ML algorithm, with access to precise environmental data, is capable of forecasting seasonal deformations across the entire QTP and potentially throughout the Arctic.…”
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A synthesis of <i>Sphagnum</i> litterbag experiments: initial leaching losses bias decomposition rate estimates by H. Teickner, H. Teickner, E. Pebesma, K.-H. Knorr

“…An error analysis suggests that <span class="inline-formula"><i>k</i>₀</span> and <span class="inline-formula"><i>l</i>₀</span> can be estimated only with relatively large errors because of limitations in the design of most available litterbag experiments. …”
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Ensemble Computational Intelligent for Insomnia Sleep Stage Detection via the Sleep ECG Signal by Pragati Tripathi, M. A. Ansari, Tapan Kumar Gandhi, Rajat Mehrotra, Md Belal Bin Heyat, Faijan Akhtar, Chiagoziem C. Ukwuoma, Abdullah Y. Muaad, Yasser M. Kadah, Mugahed A. Al-Antari, Jian Ping Li

“…The traditional insomnia detection methods are time-consuming, cumbersome, and more expensive because they demand a long time from a trained neurophysiologist, and they are prone to human error, hence, the accuracy of diagnosis gets compromised. …”
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Full grading detection method of earth-rock materials by combining preliminary screening and video image recognition by Huawei Zhou, Liang Zhu, Yihong Zhou, Dongfeng Li, Tao Fang, Chunju Zhao, Zhipeng Liang, Fang Wang, Lei Lei

“…The results of the grading test align well with the sample data, demonstrating an accuracy exceeding 97 % and a relative error maintained within 2 %. …”
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Abdominal synthetic CT generation for MR-only radiotherapy using structure-conserving loss and transformer-based cycle-GAN by Chanwoong Lee, Chanwoong Lee, Young Hun Yoon, Young Hun Yoon, Young Hun Yoon, Jiwon Sung, Jun Won Kim, Yeona Cho, Jihun Kim, Jaehee Chun, Jin Sung Kim, Jin Sung Kim, Jin Sung Kim

“…Image quality was compared between sCT and planning CT, using metrics including mean absolute error (MAE), peak signal-to-noise ratio (PSNR), structure similarity index measure (SSIM) and Kullback-Leibler (KL) divergence. …”
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Development of the Desa Jago Literasi Digital Toolkit for Frontier, Remote, and Disadvantaged areas by Firman Firman, Siti Fatihaturrahmah Al Jumroh, Hendra S

“…Because this research uses a small sample and does not select randomly, the data analysis uses non-parametric statistics. Non-parametric analysis is used according to the type of data and the analysis objectives to be achieved. …”
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RADON IN GROUNDWATERS IN THE BAIKAL REGION AND TRANSBAIKALIA: VARIATIONS IN SPACE AND TIME by K. Zh. Seminsky, A. K. Seminsky

“…Radon content in water samples was measured in accordance with the standard procedure using a RRA-01M-03 radiometer (sensitivity of at least 1.4∙10–4 s–1∙Bq–1∙m3; maximum allowable relative error of 30 %).Based on the frequency patterns of Q values measured in the Baikal region and Transbaikalia (Fig. 2) and the analysis of the known classifications of the water sources by radioactivity, we propose a uniform regional classification of groundwaters with respect to 222Rn content (Table 1). …”
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Multi-state models: metapopulation and life history analyses by A. N. Arnason, E. Cam

“…In passing, Kendall makes reference to what are probably the 3 most significant developments in the area of multi–state models since the last Euring meeting: (1) the incorporation of tag–recovery data in addition to recapture data in MSMR models; (2) a comprehensive methodology for goodness–of–fit testing and assessing parameter identifiability in MSMR models; and (3) the development of new software to make these methods accessible. …”
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Experimental Study on the Influence of Crack Penetration Rate on Strength Properties of Expansive Soil by HU Bo, WANG Shuai, SUN Hui, GENG Hong-bin, WANG Qing, ZHOU Hong-jun

“…To further illustrate that the variation in shear strength parameters under different penetration rates was the result of the combined effect of soil blocks and cracks, this study established a comprehensive calculation formula for shear strength along the failure surface. A comparative analysis of the calculated and predicted shear strength values under different penetration rates showed that the deviation of the internal friction angle prediction from the experimental value ranged from -2.5% to 6.7%, and that of cohesion ranged from -19.7% to -3.3%, all within the allowable experimental error. …”
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