Spatiotemporal Dynamics and Driving Mechanisms of Ecosystem Services in the Beijing–Tianjin–Hebei Urban Agglomeration: Implications for Sustainable Land Use Planning by Shuanqging Sheng, Jinchuan Huang

“…Effective and adaptive ecosystem management necessitates the quantitative identification and analysis of spatiotemporal variations in ecosystem services and their underlying driving mechanisms. …”
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A new spatiotemporal fusion model for integrating VIIRS and SDGSAT-1 Nighttime light data to generate daily SDGSAT-1 like observations by Jinhu Bian, Touseef Ahmad Khan, Ainong Li, Jinping Zhao, Yi Deng, Guangbin Lei, Zhengjian Zhang, Xi Nan, Amin Naboureh, Muhib Ullah Khan

“…The validation of results was further supported by a high Structural Similarity Index (SSIM) of 0.976, with other quantitative metrics such as Coefficient of Determination (R²), Mean Absolute Error (MAE), and Root Mean Square Error (RMSE), with the values of 0.941, 7.701, and 17.171, respectively. …”
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QUALIFICATION GAP IN THE UKRAINIAN LABOUR MARKET IN THE CONTEXT OF WAR: REGIONAL ASPECT by Lidiia Horoshkovа, Viktoriia Sydorenko, Oleksandr Grytsan

“…The novelty of the study is that it proposes a methodology for quantifying the level of the qualification gap, which allows for comparative assessments, regardless of the quantitative characteristics of the labour force and jobs (size) in the region. …”
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UAV rice panicle blast detection based on enhanced feature representation and optimized attention mechanism by Shaodan Lin, Deyao Huang, Libin Wu, Zuxin Cheng, Dapeng Ye, Haiyong Weng

“…The incorporation of Focal Tversky Loss further enhances the model's ability to handle imbalanced datasets, improving detection accuracy for rare and severe disease categories. Correlation coefficient analysis across disease severity levels indicates high consistency between predictions and ground truth, with values ranging from 0.962 to 0.993. …”
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Dynamic evolutionary game model for coal mine safety monitoring and control and its application by Ruxiang QIN, Tao SHEN, Shihui LI

“…The model parameters were adjusted and optimized in combination with previous studies, and the transformation coefficient was calculated through practical applications, thereby verifying the parameters of the game model. …”
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Characteristic parameter analysis of magnetic resonance diffusion tensor imaging in children with autism spectrum disorder: a retrospective study by Qianfang Jia, Xiaofang Wang, Xiwan Li, Shasha Li, Ming Wang, Luping Wang, Bingxiang Ma, Meng Zhang

“…Methods Ninety children aged from 1 to 6 years old (male: female; 74:16) with ASD were selected to measure the parameters of fractional anisotropy (FA) and apparent diffusion coefficient (ADC) of the genu of corpus callosum, splenium of corpus callosum, frontal lobe, superior temporal gyrus in DTI. …”
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Quantifying the process of lake encroachment from the perspective of satellite remote sensing by Wei Jiang, Qingke Wen, Shuo Liu, Lingjia Liu, Gan Luo, Shiai Cui, Weichao Sun, Denghua Yan

“…The overall accuracy is 96.8 ∼ 99.2 %, with a kappa coefficient ranging from 0.86 ∼ 0.99. (2) The area of encroachment, the lake circumference, and the area of buildings all increased from 2013 to 2020. …”
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FUNCTIONAL STATE OF THE MASTICATORY MUSCLES OF PATIENTS WITH DEFECTS OF DENTITION, WHICH ARE COMPLICATED BY DENTOALVEOLAR DEFORMITIES by O. V. Bida, Yu. I. Zabuha

“…Shupyk National Medical Academy of Postgraduate Education. When quantitative electromyogram was processed, the following parameters had been taken into account: the amplitude of compression and mastication (measured in mV), time activity (ms.), the duration of the rest phase (msec.) …”
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Digital transformation in market research in Peru by Paulo César Callupe-Cueva, Augusto Aliaga-Miranda, Luis Ricardo Flores-Vilcapoma, Christian Efrain Raqui-Ramirez, Bernabé Teodoro Vila-Hinojo, Wilmar Salvador Chavarry-Becerra

“…Design / Methodology / Approach: A quantitative, cross-sectional design was employed, utilizing multiple regression and correlation analyses. …”
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The first experience of creating a mobile application for diagnosis and correction of nutritional deficiency in cancer patients by E. V. Kayukova, T. A. Ignatenko, V. A. Mudrov, L. F. Sholokhov

“…The equation for calculating the coefficient k was created using binary logistic regression, which allowed detection of nutritional deficiency. …”
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Assessment of traumatic mandibular nerve using MR neurography sequence: a preliminary study by Hyunwoo Yang, Nak-hoon Son, Dongwook Kim, Jae-Hee Chun, Jin Sung Kim, Tae Kyung Oh, Minwook Lee, Hyung Jun Kim

“…Abstract Background Iatrogenic mandibular nerve damage resulting from oral surgeries and dental procedures is painful and a formidable challenge for patients and oral surgeons alike, mainly because the absence of objective and quantitative methods for diagnosing nerve damage renders treatment and compensation ambiguous while often leading to medico-legal disputes. …”
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The relationship between early maladaptive schemas and social anxiety and sports mindfulness in students of Qom province by Mahdi Adibnejad, Saleh Rafiee, Hoda Lajevardi

“…Based on the nature of the research data, it is a quantitative research. The statistical population of the research includes all the students of Qom province, numbering 50236 people. 381 students of Qom province were selected as the sample size using Morgan table and simple random sampling method. …”
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Insatisfacción corporal y los trastornos de la conducta alimentaria en estudiantes de una universidad privada: Un estudio correlacional (Body dissatisfaction and eating disorders i... by Edwin Gustavo Estrada-Araoz, Guido Ayay-Arista, José Ricardo Pujaico-Espino, Efraín Humberto Yupanqui-Pino, Armando Yupanqui-Pino, Jair Emerson Ferreyros-Yucra, José Octavio Ruiz-Tejada, Freddy Abel Rivera-Mamani

“…Additionally, it was determined that the Spearman Rho correlation coefficient between the two variables was 0.602, and the p-value was below the significance level (p < 0.01). …”
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Deep Learning Technique for Automatic Segmentation of Proximal Hip Musculoskeletal Tissues From CT Scan Images: A MrOS Study by Mahdi Imani, Jared Buratto, Thang Dao, Erik Meijering, Sara Vogrin, Timothy C. Y. Kwok, Eric S. Orwoll, Peggy M. Cawthon, Gustavo Duque

“…Results An average Dice similarity coefficient (DSC) above 90% was observed across all tissue types in the test dataset. …”
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Genetic tendency and correlation analysis of fruit traits in the F1 population of Cuiyu × Doyenne du Comice pear by DU Chenfei, WEI Chunyan, LI Wenjue, CAI Danying, WANG Yuezhi, SHI Zebin, GAO Yongbin, DAI Meisong

“…The heritability of single fruit weight was 79.75%, with a separation range of 82.8-430.0 g, a coefficient of variation of 33.31%, a super-high parent rate of 12.50%, and a low parent rate of 69.85%. …”
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Rainfall- Runoff Modelling using HEC-HMS and ANN for Shiavde, Upper Krishna Basin, India by Aparna Deulkar, Rakeshkumar Jain, Shreenivas Londhe, Pradnya Dixit

“…Performance of the models quantitively is evaluated via different statistical indicators like correlation coefficient (r), root mean square error (RMSE) and coefficient of efficiency (CE). …”
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Factors driving the biomass and species richness of desert plants in northern Xinjiang China. by Cheng Fei, Yi Qiang Dong, Sha Zhou An

“…Approximately 4500 quadrats in total were taken from the Junggar Desert of northern Xinjiang, and the spatial distribution and factors driving the biomass and species richness of the desert ecosystem were quantitatively analyzed. The results showed that the average aboveground biomass, belowground biomass, litter, and the Patrick index of the Junggar Desert in northern Xinjiang were 115.42 gm-2, 924.77 gm-2, 13.06 gm-2, and 63, with values ranging from 2-708.12 gm-2, 120.25-3537.3 gm-2, 2-56.46 gm-2, and 0-377, respectively, The mean of the variation coefficient was 56.19%, 41.16%, 62.16% and 73.83%, suggesting moderate variation. …”
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Effect of Nasal Obstruction on Continuous Positive Airway Pressure Treatment: Computational Fluid Dynamics Analyses. by Tadashi Wakayama, Masaaki Suzuki, Tadashi Tanuma

“…The purpose of this study is to model the effects of nasal obstruction on airflow parameters under CPAP using computational fluid dynamics (CFD), and to clarify quantitatively the relation between airflow velocity and pressure loss coefficient in subjects with and without nasal obstruction.…”
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Surface Morphology of Structural Plane and Effects of the Shear Strength Parameters by Dongliang He, Weijun Yang, Yanhui Cheng

“…With subjective comparison reference drawing, the size and angle of a structural plane cannot be quantitatively controlled, and small bumps cannot be described. …”
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Shape Effect on the Temperature Field during Microwave Heating Process by Zhijun Zhang, Tianyi Su, Shiwei Zhang

“…The Maxwell equations were used to calculate the distribution of microwave electromagnetic field distribution in the microwave cavity and samples; then the electromagnetic energy was coupled as the heat source in the heat conduction process in samples. Quantitatively, the power absorption capability and temperature distribution uniformity were, respectively, described by power absorption efficiency (PAE) and the statistical variation of coefficient (COV). …”
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