Identifying fabricated networks within authorship-for-sale enterprises by Simon J. Porter, Leslie D. McIntosh

“…A characteristic network fingerprint arises from this model that provides a robust statistical approach to the detection of paper-mill networks. …”
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The implications of parent mental health and wellbeing for parent-child attachment: A systematic review. by Alixandra Risi, Judy A Pickard, Amy L Bird

“…<h4>Conclusions</h4>The limited scope of parent mental health and wellbeing constructs examined in the literature, the sparse use of robust statistical analyses, and the lack of literature in general makes it difficult to draw conclusions on how and why parent mental health impacts attachment transmission. …”
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Research on risk assessment and optimization of GCN supply chain financial network based on M estimation by Xinquan Yu, Feide Tong, Zhongzhen Hu

“…In the background, supply chain finance involves multi-party participation, and information asymmetry and complex relationship networks increase the difficulty of risk assessment. As a robust statistical method, M estimation can effectively deal with outliers and noise data. …”
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Tutorial on running median subtraction filter with application to searches for exotic field transients in multi-messenger astronomy by Arko P. Sen, Andrey Sarantsev, Geoffrey Blewitt, Andrei Derevianko

“…Running Median Subtraction Filter (RMSF) is a robust statistical tool for removing slowly varying baselines in data streams containing transients (short-duration signals) of interest. …”
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Impact of transmission line lightning performance on an operational substation reliability considering the lightning stroke incidence angle by T. Hamel, S. Bedoui, A. Bayadi

“…Given the random nature of lightning strikes, a robust statistical approach is essential for accurately assessing their effects. …”
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Machine Learning-Based Prediction Performance Comparison of Marshall Stability and Flow in Asphalt Mixtures by Muhammad Farhan Zahoor, Arshad Hussain, Afaq Khattak

“…Linear regression (LR), Decision Tree (DT), Random Forest (RF), Support Vector Machines (SVMs), Gradient Boosting Machines (GBMs), and Artificial Neural Networks (ANNs) were the six MLAs that were assessed. Robust statistical measures such as MSE, MAE, R², and RMSE were employed to evaluate each model’s performance. …”
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Discerning Financial and Investment Epiphanies: Challenges, Inhibitions, and Global Perspectives - What Secrets Does Research Reveal? by Lulaj Enkeleda

“…Strong correlations and low p-values indicated robust statistical significance, emphasizing the interconnectedness of IFoI, CHFoI, and DaPiI. …”
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Immunological and Neurological Signatures of the Co-Infection of HIV and HTLV: Current Insights and Future Perspectives by Md. Nazmul Islam, Masuma Akter Mili, Israt Jahan, Cotton Chakma, Rina Munalisa

“…Despite the extensive body of literature on the biological and clinical implications of retroviral co-infections, decades of research have been marred by controversy due to several flawed epidemiological studies and anecdotal reports lacking robust statistical and scientific backing. Nevertheless, recent systematic and well-designed research has led to a growing consensus supporting at least three key conclusions: (1) co-infections of HIV-1 and HTLV-1 are frequently observed in patients with elevated CD4⁺ T-cell counts who present with lymphoma or neurological complications; (2) HIV-1 and HTLV-2 co-infections have been associated in some instances with a “long-term non-progressor” phenotype; (3) the differential function and/or overexpression of the HTLV-1 and HTLV-2 Tax proteins are likely crucial in the clinical and immunologic outcomes of HIV/HTLV-1 and -2 co-infections. …”
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Student’s t Kernel-Based Maximum Correntropy Criterion Extended Kalman Filter for GPS Navigation by Dah-Jing Jwo, Yi Chang, Yun-Han Hsu, Amita Biswal

“…By integrating cutting-edge reinforcement learning with robust statistical approaches, this work advances adaptive signal processing and estimation, offering a significant contribution to the field.…”
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FOUR DOMINANT FACTORS INFLUENCING STUDENTS' MATHEMATICAL CURIOSITY by Dadang Juandi, Nurul Farida, Saddam Al Aziz, Welli Meinarni

“…However, existing instruments for measuring students’ mathematical curiosity are still limited and rarely tested for construct validity using robust statistical methods. This gap indicates a need for a valid measurement tool that can capture the multidimensional nature of mathematical curiosity. …”
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Neuroelectric Correlates of Perceptual Awareness During the Auditory Attentional Blink by Claude Alain, Mary O’Neil, Lori J. Bernstein, Dawei Shen, Bernhard Ross

“…Method: In this study, we measured neuroelectric brain activity during the auditory attentional blink, comparing brain responses when participants correctly reported both the first (T1) and second (T2) targets versus when only T1 was detected, but T2 was missed. To achieve robust statistical power, we pooled data across six previously published studies for the current analyses. …”
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Validation of Prognostic Circulating Cell-Free RNA Biomarkers <i>HPGD</i>, <i>PACS1</i>, and <i>TDP2</i> in Colorectal Cancer Through TaqMan qPCR and Correlation Analysis by Chau Ming Kan, Xiao Meng Pei, Simon Siu Man Ng, Wing Wa Leung, Yee Ni Wong, Hennie Yuk-Lin Cheng, William Chi Shing Cho, Hin Fung Tsang, Sze Chuen Cesar Wong

“…The methodology involved a robust statistical analysis to assess correlations between cfRNA levels and clinical parameters, including survival rates and recurrence incidences. …”
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Spatial indicators of inequity in urban health research: a scoping review by Ana L. Favarão Leão, Raúl D. Gierbolini-Rivera, Milena Franco Silva, Courtney Shaw, Áine O’Connor, Deborah Salvo, Rodrigo Siqueira Reis

“…This research highlights the reliance on descriptive methodologies and advocates for robust statistical approaches. With conceptual clarity and improved measurements, researchers and practitioners can better develop strategies to advance urban health policies with the goal of reducing health inequities.…”
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Forcing Planets to Evolve: Interactions between Uranus and Neptune at Late Stages of Dynamical Evolution by Arcelia Hermosillo Ruiz, Ruth Murray-Clay, Kathryn Volk, Rosemary E. Pike

“…In addition, it is infeasible to run suites of well-resolved, realistic simulations with a disk of massive particles to drive planetary evolution where enough particles remain to represent the trans-Neptunian populations to robustly statistically compare with observations. To complement state-of-the-art full N -body simulations, we develop a method to artificially control each planet’s orbital elements independently from each other, which, when carefully applied, can be used to test a wider suite of models. …”
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The impact of hidden curriculum factors on professional adaptability by Danial Behmanesh, Shahram Jalilian, Akbar Babaei Heydarabadi, Mehrnaz Ahmadi, Nasrin Khajeali

“…The innovation lies in quantifying this relationship using robust statistical methods. The objective was to evaluate how these hidden curriculum elements impact students' ability to adapt professionally. …”
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Inputs-Oriented VRS DEA in dairy farms [version 3; peer review: 2 approved, 1 approved with reservations, 1 not approved] by C. A. Zuniga-Gonzalez, J. L. Jaramillo-Villanueva, N.E Blanco-Roa

“…Conclusions The utilization of Bootstrap methodology enhances the reliability of efficiency assessments by providing robust statistical techniques that accommodate non-normal data distributions. …”
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A novel intraoperative Esophagus-Sparing Anastomotic Narrowing Revision (ESANR) technique for patients who underwent esophagojejunostomy: three case reports and a review of the lit... by Jian Zhou, Zhenhong Wang, Guobiao Chen, Yi Li, Min Cai, Fathima Shifly Pannikkodan, Xiangzhi Qin, Dan Bai, Zhenbing Lv, Lei Gong, Yunhong Tian

“…However, further clinical data and analyses are necessary to verify its effectiveness and establish robust statistical support.…”
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Anomaly Detection in Health Insurance Claims Using Bayesian Quantile Regression by Ezekiel N. N. Nortey, Reuben Pometsey, Louis Asiedu, Samuel Iddi, Felix O. Mettle

“…The analyses of such data are best addressed by adopting more robust statistical techniques. In this paper, we utilized the Bayesian quantile regression model to establish the relations between claim outcome of interest and subject-level features and further classify claims as either normal or anomalous. …”
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Two-Dimensional Probability Models for the Weighted Discretized Fréchet–Weibull Random Variable with Min–Max Operators: Mathematical Theory and Statistical Goodness-of-Fit Analysis... by Sofian T. Obeidat, Diksha Das, Mohamed S. Eliwa, Bhanita Das, Partha Jyoti Hazarika, Wael W. Mohammed

“…Additionally, key statistical measures, including covariance, Pearson’s correlation coefficient, Spearman’s rho, and Kendall’s tau, are derived using the joint probability-generating function. For robust statistical inferences, the parameters of the proposed models are estimated via the maximum likelihood estimation method, with extensive simulation studies conducted to assess the efficiency and accuracy of the estimators. …”
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Investigation and optimization of machining parameters in Micro-WEDM of SMA to enhance performance by Rakesh R. Kolhapure, Duradundi S. Badkar

“…By integrating robust statistical analysis and process control, the study offers new insights into achieving good surface quality and performance in medical field.…”
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