The Unified State Exam and Academic Performance: A Three-Year Analysis of Relationships Across Selection Method and Gender in University Students by Morteza Charkhabi, Alena Kulikova, Arina Nasonova, Elena Kardanova, Ksenia Shaposhnikova

“…Also, there was a statistically significant difference between the academic performance of Olympiad and non-Olympiad students across gender and faculty. …”
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A Novel Main-Lobe Cancellation Method Based on a Single Notch Space Filter and Optimized Correlation Analysis Strategy by Jiazhi Zhang, Xin Zhang, Weibo Deng, Liang Guo, Qiang Yang

“…Then, an improved main-lobe cancellation (IMLC) method based on single notch space filter and correlation analysis is proposed to get training data which contains precise clutter information. …”
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A Review of Machine Learning and Deep Learning Methods for Person Detection, Tracking and Identification, and Face Recognition with Applications by Beibut Amirgaliyev, Miras Mussabek, Tomiris Rakhimzhanova, Ainur Zhumadillayeva

“…Our findings highlight essential methods of person detection, tracking and identification, and face recognition tasks, emphasizing current trends and illustrating a clear transition from classical to deep learning methods with existing datasets, divided by task and including statistics for each of them. …”
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FORECASTING MONTHLY RAINFALL IN PANGKEP REGENCY USING STATISTICAL DOWNSCALING MODEL WITH ROBUST PRINCIPAL COMPONENT REGRESSION TECHNIQUE by Sitti Sahriman, Anisa Anisa

“…The minimum covariance determinant (MCD) and minimum vector variance (MVV) methods are used in principal component analysis to obtain robust principal components (PCs). …”
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Dynamics of medical and statistical indicators of cervical cancer over a 10-year period (2011–2020) in Novokuznetsk by S. V. Shramko, N. M. Zhilina, V. N. Dureev

“…The database analysis was carried out in the licensed statistical package IBM SPSS Statistics 19 using the following methods: Kendall’s tau correlation method (Ʈ), calculation of median values of indicators, upper and lower quartiles, Mann–Whitney test (U).Results. …”
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Prospects for the Integration of Google Trends Data and Official statistics to Assess social Comfort and Predict the Financial situation of the Population by M. V. Shakleinaa, M. I. Volkova, K. I. Shaklein, S. R. Yakiro

“…The authors have built a social comfort model in which the choice of weights for its components is based on a modified principal component analysis. The assessment is based on Google Trends data and official statistics. …”
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Elective open suprarenal aneurysm repair in England from 2000 to 2010 an observational study of hospital episode statistics. by Alan Karthikesalingam, Peter J E Holt, Benjamin O Patterson, Alberto Vidal-Diez, Giuseppe Sollazzo, Jan D Poloniecki, Robert J Hinchliffe, Matthew M Thompson

“…National outcomes provide valuable information regarding the safety of suprarenal aneurysm repair.<h4>Methods</h4>Demographic and clinical data were extracted from English Hospital Episodes Statistics for patients undergoing elective suprarenal aneurysm repair from 1 April 2000 to 31 March 2010. …”
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Epidemiology of Age-Related Macular Degeneration in the Republic of Bashkortostan (Clinical and Statistical Analisys of the “Ural Eye and Medical Study”) by T. R. Gilmanshin

“…Study design: cross-sectional one-stage analytical research. Statistical data analysis was performed using the IBM SPSS statistic application package. …”
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Economic freedom and growth dynamics in Indonesia: an empirical analysis of indicators driving sustainable development by Irsan Hardi, Mohd Afjal, Mohsin Khan, Ghalieb Mutig Idroes, Teuku Rizky Noviandy, Resty Tamara Utami

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Spatial delineation on marine environmental characteristics using fuzzy c-means clustering method by E.D. Lusiana, S. Astutik, N. Nurjannah, A.B. Sambah

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Revolutionizing classification: A novel gray level co-occurrence matrix and statistical feature-based segmentation approach by Abdelwahed Motwakel

“… The accurate and efficient classification of leukemia images is crucial for early diagnosis and effective treatment planning. Traditional methods often face challenges in handling the complexity and variability of medical images. …”
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The relationship between activities of daily living and speech impediments based on evidence from statistical and machine learning analyses by Liu Jun, Hongguo Li, Yu Mao, Lan Hu, Dan Wu

“…While the role of ADL as a potential biomarker for SI remains unclear, this study aims to provide new evidence supporting ADL as an early predictor of SI through statistical analysis and machine learning validation.MethodsData were derived from the 2018 CHARLS national baseline survey, comprising 10,136 participants aged 45 and above. …”
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Analysis of casson nanofluid transport rates near a vertical stretching sheet with dissipation and slip effects by Tadesse Walelign

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STANCE: a unified statistical model to detect cell-type-specific spatially variable genes in spatial transcriptomics by Haohao Su, Yuesong Wu, Bin Chen, Yuehua Cui

“…Downstream analyses reveal STANCE’s potential in spatial transcriptomics analysis.…”
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Factor structure and psychometric properties of the Arabic Brief COPE among Arab adolescents in the Klang Valley, Malaysia by Yosra Sherif, Ahmad Zaid Fattah Azman, Aishah Siddiqah Alimuddin, Hamidin Awang, Marjan Mohammadzadeh

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Streptomyces griseorubens as a microbial cell factory for extracellular uricase production and bioprocess optimization using statistical approach by Noura El-Ahmady El-Naggar, Sara M. El-Ewasy, Nancy M. El-Shweihy

“…Thus, there is a continuous demand for screening soil samples derived from a variety of different sources in order to isolate a strain that possesses a high potential for producing uricase. Methods Streptomyces sp. strain NEAE-5 demonstrated a significant capacity for uricase production was identified based on the physiological, morphological and biochemical characteristics, as well as 16S rDNA sequencing analysis. …”
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An Enhanced EWMA Model for Statistical Insights in Process Monitoring with Application in Brake Pad Failure and Carbon Fiber Strength by Muhammad Waqas, Song Hua Xu, Syed Masroor Anwar, Zahid Rasheed, Gilbert Masengo

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Alteration of fractional anisotropy in preterm-born individuals: a systematic review and meta-analysis by Le Zhou, Xinghui Liu, Guolin He, Meng Chen, Shuai Zeng, Chuntang Sun

“…Diffusion tensor imaging (DTI) studies using tract-based spatial statistics (TBSS) effectively detect microstructural white matter (WM) abnormalities in the brain. …”
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A Statistical Approach to Assess Biological Equivalent Mean Organ Dose (MOD) for Different Fractionations in Thoracic Radiotherapy by Siyao Zhong, Guangshan Wang, Xiaohang Qin, Yinghui Li, Bin Sun, Feng-Ming (Spring) Kong, Yuyan Gao, Jian-Yue Jin

“…<b>Purpose:</b> This study aims to provide an approach that can reasonably estimate the possibility of toxicity using a biological equivalent mean organ dose (MOD)-based model from the 2 Gy per fraction era for various fractionations. <b>Methods and Materials:</b> The dose volume histograms (DVHs) of 272 patients treated with radiotherapy for lung cancer at a prescribed dose of 2 Gy × 30 f were used for analysis. …”
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Near-infrared hyperspectral imaging and robust statistics for in vivo non-melanoma skin cancer and actinic keratosis characterisation. by Lloyd A Courtenay, Innes Barbero-García, Saray Martínez-Lastras, Susana Del Pozo, Miriam Corral de la Calle, Alonso Garrido, Diego Guerrero-Sevilla, David Hernandez-Lopez, Diego González-Aguilera

“…This study employed robust statistical methods for the identification of an optimal spectral window where the different samples could be differentiated. …”
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