LINE-1 hypomethylation in blood and tissue samples as an epigenetic marker for cancer risk: a systematic review and meta-analysis. by Martina Barchitta, Annalisa Quattrocchi, Andrea Maugeri, Manlio Vinciguerra, Antonella Agodi

“…Furthermore, subgroup analyses were conducted by sample type (tissue or blood samples), cancer types, and by assays used to measure global DNA methylation levels. …”
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Associations of cardiovascular diseases and type 2 diabetes with ophthalmic diseases in a population sample over 55 years old by A. O. Direev, I. V. Munts, E. S. Mazurenko, M. Yu. Shapkina, A. N. Ryabikov, M. Bobak, S. K. Malyutina

“…To study associations of cardiovascular diseases and type 2 diabetes (T2D) with ophthalmic diseases in a population sample of men and women from middle to old age (Novosibirsk).Material and methods. …”
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Prevalence of Staphylococcus aureus Isolated from Clinical Samples that Exhibits Inducible Clindamycin Resistance: A Cross-sectional Study by Akansha Goyal, Akansha Arya, Kajal Rajput, Sapna Chauhan

“…A total of 100 isolates of S. aureus obtained from various clinical samples were included. Simple random sampling was employed to ensure an unbiased selection of isolates. …”
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Associations of increased spatial QRS-T angle with cardiovascular risk factors: data from the regional sample of ESSE-RF study by G. A. Muromtseva, E. A.-I. Aidu, Yu. K. Makarova, V. A. Kutsenko, E. B. Yarovaya, V. G. Trunov, Yu. A. Balanova, A. V. Kapustina, S. E. Evstifeeva, A. Yu. Efanov, S. A. Shalnova, O. M. Drapkina

“…We analyzed 1411 electrocardiography (ECG) records of men and women aged 25-64 years from a random regional sample of the Epidemiology of Cardiovascular Diseases and their Risk Factors in Regions of Russian Federation (ESSE-RF) study. …”
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Exploratory integration of near-infrared spectroscopy with clinical data: a machine learning approach for HCV detection in serum samples by Eloy Pérez-Gómez, José Gómez, José Gómez, Jennifer Gonzalo, Sergio Salgüero, Daniel Riado, María Luisa Casas, María Luisa Gutiérrez, Elena Jaime, Enrique Pérez-Martínez, Rafael García-Carretero, Javier Ramos, Conrado Fernández-Rodríguez, Conrado Fernández-Rodríguez, Myriam Catalá, Myriam Catalá, Luca Martino, Óscar Barquero-Pérez

“…We applied L1-regularized Logistic Regression (L1-LR) to identify the most informative wavelengths for HCV detection within the 1,000–2,500 nm range, and then integrated these spectral features with routine clinical markers using a Random Forest (RF) model. Our dataset comprised 137 serum samples from 38 patients, each represented by a NIRS spectrum and clinical data from blood tests.ResultsAfter preprocessing with Standard Normal Variate (SNV) correction and downsampling, the best-performing RF model, which combined NIRS features and clinical data, achieved an accuracy of 72.2% and an AUC-ROC of 0.850, outperforming models using only clinical or spectral data. …”
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A Characteristic Optical Variability Timescale in Jetted Active Galactic Nuclei: A Large Gamma-Ray Emission Sample by Dingrong Xiong, Mouyuan Sun, Jun-Xian Wang, Junhui Fan, Yongquan Xue, Minfeng Gu, Liang Chen, Yongyun Chen, Nan Ding, Fei Guo, Jirong Mao, Guowei Ren, Rui Xue, Dahai Yan, Shenbang Yang, Haiyun Zhang, Jinming Bai

“…This analysis yields one of the largest samples with characteristic optical variability timescales for jetted AGNs. …”
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Academic problems facing a sample of female students of theoretical colleges at King Abdulaziz University from their point of view by Jowana Abdullah Aljehani, Zaynah Ahmad alzahrani, Wejdan abdulrahman algarni, Maryam Ibrahim Ghabban

“…The descriptive method was used, and the study sample consisted of (277) female theoretical college students from the following levels (third - fourth - fifth - sixth) at King Abdulaziz University, and they were randomly chosen. …”
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STRAIN LOCALIZATION PECULIARITIES AND DISTRIBUTION OF ACOUSTIC EMISSION SOURCES IN ROCK SAMPLES TESTED BY UNIAXIAL COMPRESSION AND EXPOSED TO ELECTRIC PULSES by V. A. Mubassarova, L. M. Bogomolov, A. S. Zakupin, I. A. Panteleev, O. B. Naimark

“…Parameters may be arbitrarily modified within a small range, and randomization is thus another common statistical significance criterion for sample sets obtained at the same conditions. …”
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A kind mind: effects of compassion-based meditation on prosocial intergroup outcomes in a South African pilot sample by Adala M. Prevost, Michal George, Melike M. Fourie

“…Future directions include a randomized controlled trial in an appropriately powered sample, and expansion of the methodology to include other social groups.…”
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Pneumococcal carriage in a large Sicilian sample population: impact on the current epidemiological scenario and implications for future vaccination strategies by Emanuele Amodio, Fabio Tramuto, Fabio Tramuto, Valerio De Francisci, Dario Genovese, Valeria Guzzetta, Vincenzo Pisciotta, Arianna Santino, Giulia Randazzo, Giulio Trapani, Giuseppe Vella, Francesco Vitale, Francesco Vitale

“…This study aimed to determine the prevalence of nasopharyngeal colonization and serotype distribution in the Sicilian population.MethodsObservational study randomly selecting samples belonging to Sicilian individuals whose nasopharyngeal swabs were collected between February 1, 2020, and December 31, 2022. …”
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Abstract 060: Endovascular Thrombectomy for Posterior Cerebral Artery in the National Inpatient Sample (EaT PeCAN pIeS) by Aaron B Brake, Lane T Fry, Cody E Heskett, Abdul‐Rahman S Alkiswani, Gabriel T LeBeau, Frank De Stefano, Catherine M Lei, Kevin C Le, Adam D Rouse, Jeremy A Peterson, Koji Ebersole

“…Current guidance regarding endovascular thrombectomy (EVT) for PCA occlusion is insufficient as no randomized trials exist. Methods A real‐world retrospective National Inpatient Sample database analysis compared medical management (MM) versus EVT for PCA strokes. …”
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Physiotherapists’ reliability of inter-recti distance measurement with real-time ultrasound across a mixed women population sample by Evdokia Billis, Anastasia Skoura, Tatiana-Elena Papakonstantinou, Dimitra Tania Papanikolaou, Maria Tsekoura, Maria Andriopoulou, Charalampos Matzaroglou, Sofia Lampropoulou, Dimitra Koumoundourou, Eftichia Trachani, Theofani Bania, Elena Drakonaki

“…Three locations were randomly measured: umbilicus, 3 cm above the umbilicus, and halfway between the umbilicus and xiphoid process. …”
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Addressing non-response and measurement errors in time-scaled surveys by Poonam Singh, Pooja Maurya, Prayas Sharma

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On Solar‐Terrestrial Interactions: Correlation Between Intense Geomagnetic Storms and Global Strong Earthquakes by Hongyan Chen, Peng Han, Jiancang Zhuang, Katsumi Hattori, Miao Miao, Kaiyan Hu, Tao Tao

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Camera trap-based estimates reveal spatial variability in African clawless otter population densities and behaviour by Candice B. Lewis, Tshepiso L. Majelantle, Natalie S. Haussmann, Trevor McIntyre

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Czy autokorelacja przestrzenna ma znaczenie w kontekście planowania i oceny zrównoważonego rozwoju regionalnego? by Daniel A. Griffith

Subjects: “…tessellation stratified random sampling…”
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慢性肾病与卒中的因果关系：一项两样本双向孟德尔随机化研究Causality between Chronic Kidney Disease and Stroke: A Two-Sample Bidirectional Mendelian Randomization Study by 宋金云，赵宏宇 (SONG Jinyun, ZHAO Hongyu )

“…Abstract: Objective Two-sample bidirectional Mendelian randomization (MR) method was used to analyze the causality between chronic kidney disease (CKD) and stroke. …”
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Development and validation of a small-sample machine learning model to predict 5–year overall survival in patients with hepatocellular carcinoma by Tingting Jiang, Xingyu Liu, Wencan He, Hepei Li, Xiang Yan, Qian Yu, Shanjun Mao

“…To address the substantial time and resource demands associated with HCC prognostic prediction, we extract meaningful insights from limited small-sample data to develop and validate a prediction model for HCC 5-year overall survival (OS) by machine learning (ML). …”
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Boosting Deep Reinforcement Learning with Semantic Knowledge for Robotic Manipulators by Lucía Güitta-López, Vincenzo Suriani, Jaime Boal, Álvaro J. López-López, Daniele Nardi

“…These results highlight the potential of semantic knowledge to reduce sample complexity and improve the effectiveness of DRL in robotic applications.…”
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Application of image guided analyses to monitor fecal microbial composition and diversity in a human cohort by Konstantina Zafeiropoulou, Bas Voermans, Huy Ngo, Javier Moreno, Donghyeok Lee, Joep P. M. Derikx, Misha Luyer, Aeilko H. Zwinderman, Max Nieuwdorp, Marcus de Goffau, Wouter J. de Jonge, Evgeni Levin

“…A subset of human fecal samples was randomly retrieved from the second wave of data collection in the Healthy Life in an Urban Setting (HELIUS) study cohort. …”
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