Prognostic and diagnostic value of PVR gene and protein levels, serum amylase, and urinary IGFBP-7 and TIMP-2 biomarkers in multiple myeloma by Eman M. Habib, Asmaa M. Hasan, Sara A. A. Mohammed, Amira A. A. Othman, Rasha Elgamal, Dalia E. Sherief

“…Multivariate Cox regression confirmed PVR expression (HR=12.2), serum amylase (HR=11.5), and IGFBP-7 (HR=11.9) as independent predictors of poor OS, findings that remained robust in bootstrapped and penalized regression models. …”
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BM study: a monocentric prospective observational cohort study on neonatal humoral immunity against COVID-19 secondary to transplacental antibody transfer and breastfeeding by Rosa Perretta, Juan José Borraz Torca, Giuseppina De Luca, Marta Donà, Martina Gasparella, Elisa Rizzato, Nicola Bertazza Partigiani

“…Maternal vaccination generates robust anti-SARS-CoV-2 IgG antibodies, transferred to the fetus through the placenta, providing neonatal protection. …”
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Stress Hyperglycemia Ratio and Hemoglobin to RDW Ratio in Predicting the Outcomes of Thrombolysis-Treated Stroke: A Retrospective Cohort Study by Sarawut Krongsut, Nat Na-Ek

“…We used multivariable Poisson regression with robust variance to estimate risk ratios (RRs) and 95% confidence intervals (CIs). …”
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Climate forcing due to future ozone changes: an intercomparison of metrics and methods by W. J. Collins, F. M. O'Connor, F. M. O'Connor, R. E. Byrom, Ø. Hodnebrog, P. Jöckel, M. Mertens, M. Mertens, G. Myhre, M. Nützel, M. Nützel, D. Olivié, R. Bieltvedt Skeie, L. Stecher, L. Stecher, L. W. Horowitz, V. Naik, G. Faluvegi, G. Faluvegi, U. Im, U. Im, L. T. Murray, D. Shindell, K. Tsigaridis, K. Tsigaridis, N. L. Abraham, N. L. Abraham, J. Keeble

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Ｒesearch on Control Strategy for a Multiple Grid-connected-inverter System by XIE Wen-hao, WANG Jian-ze, JI Yan-chao

“…The power share among multiple grid-connected inverters in microgrids is investigated to strengthen the system robust，especially when power flow varies frequently. …”
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Improved methods for estimation in repeated surveys: Combining time series and calibration by Dalius Pumputis

“…Regression-based estimator also shows robust performance across varying conditions, while traditional estimators relying solely on survey data are less precise. …”
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When a mean can be meaningless: evaluating mosquito infections with Plasmodium parasites by Prince Chigozirim Ubiaru, Lisa C. Ranford-Cartwright

“…Abstract Several malaria control measures aim to reduce infection levels in mosquitoes, and evaluation of these measures usually relies on experimental infections of mosquitoes or evaluation in field populations. Both require robust statistical tools to account for multiple variables and non-normal distributions of parasites in the vector host. …”
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Psychometric properties of the Persian version of the training needs assessment for critical care nurses by Amir Jalali, Mostafa Bafandeh Zendeh, Azam Sharifi, Amirhossein Naghibzadeh, Leila Moradi, Jalal Karimi, Nazanin Mardani Taghvostani, Khalil Moradi

“…Conclusions The Persian TNCCNS has demonstrated robust validity and reliability, establishing itself as a valuable tool for assessing the training needs of ICU nurses in Iran. …”
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Identification of Target Body Composition Parameters by Dual-Energy X-Ray Absorptiometry, Bioelectrical Impedance, and Ultrasonography to Detect Older Adults With Frailty and Prefr... by Beatriz Ortiz-Navarro, José Losa-Reyna, Veronica Mihaiescu-Ion, Jerónimo Garcia-Romero, Margarita Carrillo de Albornoz-Gil, Alejandro Galán-Mercant

“…ResultsParticipants were categorized into frail (n=28), prefrail (n=33), and robust (n=33) groups. All body composition measures exhibited high specificity in detecting frailty, with varying sensitivity. …”
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Enhanced genetic fine mapping accuracy with Bayesian Linear Regression models in diverse genetic architectures. by Merina Shrestha, Zhonghao Bai, Tahereh Gholipourshahraki, Astrid J Hjelholt, Sile Hu, Mads Kjolby, Palle Duun Rohde, Peter Sørensen

“…These findings highlight BLR models as accurate and robust tools for statistical fine mapping in both simulated and empirical genetic datasets.…”
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The Effects of Air Pollutants, Particulate Matter 10 (PM10), Sulphur Dioxide (SO2) and Nitrogen Dioxide (NO2) on COVID-19 cases in Indonesia by Erwin Dariyanto

“…This study used the Ordinary Least Square (OLS) method with the endurance test Robust Standard Errors. The regression results showed that PM10, SO2 and NO2 are statistically significant positive regressors of the number of COVID19 cases. …”
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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

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Quark-versus-gluon tagging in CMS Open Data with CWoLa and TopicFlow by Matthew J. Dolan, John Gargalionis, Ayodele Ore

“…Further, these rankings based on data are robust to the estimate of the mixture fraction in the test set. …”
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Estimating the economic benefits of high-speed rail in China: A new perspective from the connectivity improvement by Zhaohui Chong, Chenglin Qin, Zhenhua Chen

“…The effect of HSR, measured in degree centrality, is assessed using a spatial econometric modeling technique based on a panel dataset that covers 268 Chinese cities from 2008-2015. To provide a robust assessment, statistical issues including heterogeneous effects, endogeneity, and spatial dependence are addressed simultaneously in the spatial panel modeling process. …”
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Comprehensive Modeling in Predicting Liquid Density of the Refrigerant Systems Using Least-Squares Support Vector Machine Approach by Jinya Cai, Haiping Zhang, Xinping Yu, Amir Seraj

“…A robust machine learning algorithm known as the least-squares support vector machine (LSSVM) model was used to predict the liquid densities of 48 different refrigerant systems. …”
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Rethinking TIMSS quality assurance: utilizing neural network models with regression-based bias mitigation strategies for validating country-level math and science achievement score... by Henry Isaiah Braun, Matthias von Davier, Jihang Chen

“…Concerns over the integrity of TIMSS test scores necessitate robust quality control methods. The research described here developed and piloted new statistical indicators to identify countries with apparently unusual results, aiming to enhance the efficacy of the TIMSS quality assurance process. …”
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Genotypes and spatial configurations of public art museums in Japan by Yunfei Xie, Muhan Shen, Nobuaki Furuya

“…Then, we apply syntactic and statistical analyses to identify and classify spatial genotypes. …”
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Evaluating the Negative Impacts of New Technologies on Intellectual Property Law Using Neutrosophic Z Numbers by Sandra Dayanara Correa Solis, Esther Maricela Coello Avilés, Jennifer Andrea Bravo Zapata

“…This study addresses the need for robust methods to assess these negative impacts from a legal practitioner's perspective, where uncertainty is prevalent. …”
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Bio-inspired cryptography based on proteinoid assemblies. by Panagiotis Mougkogiannis, Essam Ghadafi, Andrew Adamatzky

“…The approach harnesses the inherent unpredictability of proteinoid behavior to create a robust and adaptable encryption framework resilient to cryptanalytic attacks. …”
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Unlocking Adolescent Mental Health: Exploring Social Determinants and Depression With the Social Ecological Model by Lauren B. Robins, Danielle Rodgers, Yusuf Barburoglu, Jasmine Griffith, Cearra L. Arnold

“…Employing the robust framework of the Social Ecological Model (SEM) and drawing insights from the Social Determinants of Health (SDOH), this research sought to uncover the interplay between SDOH and mental health among adolescents. …”
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