Performance Analysis and Computational Interface for <italic>X &#x2013; R</italic> Intuitionistic Fuzzy Control Chart by Amanda Dos Santos Mendes, Tulio S. Almeida, Marcela A. G. Machado, Paloma Maria Silva Rocha Rizol

“…Quality control, particularly through the use of control charts, has become essential in industry to ensure that processes free from special causes of variability. Many processes are subject to instrument uncertainty, human subjectivity, and operator hesitation at the time of measurement. …”
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SPEIPM-based research on drought impact on maize yield in North China Plain by Bo MING, Yin-qiao GUO, Hong-bin TAO, Guang-zhou LIU, Shao-kun LI, Pu WANG

“…Then regression analysis was made to study the relationships between detrended yields and SPEI values. Different time scales were applied, and thus SPEIpm was mentioned as SPEIPMk-j (k=time scale, 1, 2, 3, 4, …, 24 mon; j=month, 1, 2, 3, …, 12), among which SPEIPM3-8 reflected the water condition from June to August, a period of heavy precipitation and vigorous growth of maize in NCP SPEIPM3-8 was highly correlated with detrended yield in this region, which can effectively evaluate the effect of drought on maize yield. …”
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A study on the therapeutic effect of zero-ray cardiac autonomic ganglion ablation on vasovagal syncope in a special occupational young population by Yan Guo, Si Li, Xiangyang Yang, Jiaman Hu, Jun Liu, Xiaolong Gu, Yanzhuo Li

“…Postoperatively, the sinus node recovery time and AV Wenckebach point were significantly shorter compared to preoperative values (P &lt; 0.001). …”
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GIS-based modeling and analytical approaches for groundwater quality suitability for different purposes in the Egyptian Nile Valley, a case study in Wadi Qena by Hanaa A. Megahed, Abd El-Hay A. Farrag, Amira A. Mohamed, Mahmoud H. Darwish, Mohamed A. E. AbdelRahman, Heba El-Bagoury, Paola D’Antonio, Antonio Scopa, Mansour A. A. Saad

“…The values of Na+, SAR, EC, RSC, PI, MH, KR, SSP, TH, and Cl confirm this. …”
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Reliability and Accuracy of Ultrasonographic Muscle Thickness Measurements: Evaluating Key Postural Stabilisers in Rehabilitation by Arkadiusz Żurawski, Natalia Barańska, Aleksandra Tomala, Edyta Majorczyk, Joanna Macierzyńska

“…Its capacity to provide real-time visualisation of muscle structure and function underpins its utility in clinical practice and scientific research. …”
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Developing organization structure of retail enterprises (on the example of the Czech Republic) by Aleksandr L. Bobkov, Igor V. Denisov, Oksana V. Kuchmaeva

“…When analyzing the average values of the variables in these clusters, they can be classified into four groups. …”
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Evaluation of the Impact of External Conditions on Arm Positioning During Punches in MMA Fighters: A Comparative Analysis of 2D and 3D Methods by Dariusz Skalski, Magdalena Prończuk, Petr Stastny, Kinga Łosińska, Miłosz Drozd, Michal Toborek, Piotr Aschenbrenner, Adam Maszczyk

“…Strong correlations (r = 0.964–0.999) and high intraclass correlation coefficient (ICC) values (0.81–0.99) confirmed the high reliability of 2D analysis for sagittal-plane techniques. …”
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Multi-temporal high-resolution data products of ecosystem structure derived from country-wide airborne laser scanning surveys of the Netherlands by Y. Shi, J. Wang, W. D. Kissling

“…For each AHN (Actueel Hoogtebestand Nederland) dataset, we generated 25 lidar-derived vegetation metrics at 10 m spatial resolution, representing vegetation height, vegetation cover, and vegetation structural variability, together with auxiliary data (<span class="inline-formula">∼12</span> GB) such as raster layers of point density; pulse density; flight line timestamp information; terrain and surface elevation; and masks of water areas, roads, buildings, power lines, and NA values (areas with no points available). …”
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Impact of Low-dose Imaging on PET Quantitative Accuracy and Image Quality by SU Xuesong, GENG Jianhua, ZHENG Rong, WANG Xuejuan

“…The most pronounced change occurs when the acquisition time is reduced from 2.5 minutes to 1.5 minutes, resulting in a mere 0.09% increase. …”

Study on the inversion and spatiotemporal variation mechanism of soil salinization at multiple depths in typical oases in arid areas: A case study of Wei-Ku Oasis by Jinming Zhang, Jianli Ding, Zihan Zhang, Jinjie Wang, Xu Zeng, Xiangyu Ge

“…However, accurately modeling and predicting soil salinity at multiple depths over time remains a challenge due to complex interactions among environmental factors and limited ground observations. …”
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⁸⁷Sr/⁸⁶Sr ISOTOPE RATIOS IN THE RIVER WATERS OF THE SOUTHERN URALS by D. V. Kiseleva, E. S. Shagalov, T. G. Okuneva, N. G. Soloshenko, А. D. Ryanskaya, E. A. Pankrushina, S. V. Karpova, K. K. Urazov, A. R. Sidoruk

“…We determined the contents andisotopic ratios of strontium in river water samples collected from the territories of the Orenburg and Chelyabinsk regionsand the Republic of Bashkortostan in 2019–2020.For the first time in the surface water of the rivers in the Southern Urals (Ural, Belaya, Tobol, Karagaily-Ayat, Sim, andothers), the 87Sr/86Sr isotopic ratios have been determined, and their variations have been analyzed. 87Sr/86Sr values varyin the range 0.70666–0.71063 (average 0.70908) for the rivers of the Urals basin, 0.70749–0.71058 (average 0.70924)for the Kama-Volga basin, 0.70946–0.71176 (average 0.71071) for the Tobol basin. …”
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Fate of the Late Triassic Songpan-Ganzi Basin in the eastern Paleo-Tethys Ocean: Geochemical and geochronological constraints in the NE Tibetan Plateau by Hong-Xu Mu, Dan-Ping Yan, Liang Qiu, Ruo-Yan Kong, Ling-Xiao Gong

“…They also exhibit moderate chemical weathering (CIA: 60.32–83.72) and high component variability (0.9–2.34, average 1.61), revealing a moderately weathered source. …”
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A novel dual embedding few-shot learning approach for classifying bone loss using orthopantomogram radiographic notes by Pradeep Kumar Yadalam, Amit Rajabhau Pawar, Prabhu Manickam Natarajan, Carlos M. Ardila

“…Outperforming existing Transformer-based models streamlines the diagnostic workflow, reduces the workload of radiologists, and enables timely interventions for improved patient outcomes. …”
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Comparison of Deep Learning Approaches Using Chest Radiographs for Predicting Clinical Deterioration: Retrospective Observational Study by Mahmudur Rahman, Jifan Gao, Kyle A Carey, Dana P Edelson, Askar Afshar, John W Garrett, Guanhua Chen, Majid Afshar, Matthew M Churpek

“…The currently existing early warning systems rely on variables from structured data, such as vital signs and laboratory values, and do not incorporate other potentially predictive data modalities. …”
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Comparative analysis of ground reaction forces and spatiotemporal gait parameters in older adults with sway-back posture and chronic low back pain: a cross-sectional study by Fatemeh Esmaeilpour, Amir Letafatkar, Mohammad Taghi Karimi, Mehdi Khaleghi, Giacomo Rossettini, Jorge Hugo Villafañe

“…GRFs and spatiotemporal gait parameters—including stride time, cadence, stride length, gait speed, and stance phase duration—were recorded for all participants. …”
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Obsessive‒compulsive symptoms and associated factors among people with schizophrenia attending services at referral hospitals in Eastern Ethiopia by Abdi Temesgen, Tilahun Abdeta, Daniel Alemu, Kemal Aliye, Abinet Zewudie, Dawit Abdi, Hirko Assefa, Rudwan Yasin

“…Bivariable and multivariable logistic regression were performed, and variables with p values < 0.05 were considered statistically significant. …”
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Optimization of Preemptive Therapy for Cytomegalovirus Infections With Valganciclovir Based on Therapeutic Drug Monitoring: Protocol for a Phase II, Single-Center, Single-Arm Trial by Naoki Tamura, Kotaro Itohara, Yo Ueda, Yumi Kitahiro, Kazuhiro Yamamoto, Tomohiro Omura, Toshiyasu Sakane, Jun Saegusa, Ikuko Yano

“…In addition, correlations have been reported between the area under the concentration–time curve and therapeutic efficacy or adverse events. …”
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Multi-Output Regression for the Prediction of World-Class Performances in Women&#x2019;s Handball by Rayane Elimam, Nicolas NICOLAS, Jacques Prioux, Jacky Montmain, Stephane Perrey

“…To achieve this,A modeling approach that predicts multiple numerical output variables simultaneously, particularly useful when these outputs are correlated (multi-output regression) models were used to predict 7 performance indicators based on previous training and game athletic workloads measured by Inertial Measurement Units (IMU) indicators, previous in-game actions annotated by staff members and game contextual factors. …”
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Interactions of land use, land cover, and climate change: A case study of Raichur District, Karnataka, India by Degu Zewdu, C. Muralee Krishnan, P.P. Nikhil Raj, Yila Caiaphas Makadi, Masoud K. Barati, Sudha Arlikatti

“…The correlation analysis between LULC and climate variables revealed that cropland, built-up areas, mixed forests, shrublands, wastelands, and water bodies positively correlate to annual rainfall. …”
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Effect of discontinuing antipsychotic medications on the risk of hospitalization in long-term care: a machine learning-based analysis by Mikko Nuutinen, Riikka-Leena Leskelä, Daniela Fialova, Ira Haavisto, Harriet Finne-Soveri, Jokke Häsä, Johanna Edgren, Hein van Hout, Daniel E. da Cunha Leme, John P. Hirdes, Graziano Onder, Rosa Liperoti

“…Causal machine learning (ML) methods including double machine learning (DML), double robust (DR), X-learner, and causal forest (CF) were applied to estimate the effect of antipsychotic discontinuation on the risk of hospitalization and to identify factors influencing such effect. The follow-up time was 1 year. The methods of SHAP values (SHapley Additive exPlanations), partial dependence plots (PDP), and surrogate models were used for model interpretation. …”
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