Advanced finite segmentation model with hybrid classifier learning for high-precision brain tumor delineation in PET imaging by K. Murugan, SatheeshKumar Palanisamy, N. Sathishkumar, Tagrid Abdullah N. Alshalali

“…This work has significant implications for automated tumor detection, personalized treatment strategies, and AI-driven medical imaging advancements. …”
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The two-mode network approach to digital skills and tasks among technology park employees by Anna Ujwary-Gil, Bianka Godlewska-Dzioboń

“…Implications & Recommendations: The findings contribute to the literature on digital skills and shared tasks from a dyadic and organizational perspective by deepening the understanding of the relationship between a pair of employees. …”
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Ensemble machine learning prediction accuracy: local vs. global precision and recall for multiclass grade performance of engineering students by Yagyanath Rimal, Yagyanath Rimal, Navneet Sharma

“…These findings are further corroborated by precision-recall error plots. The grid search for random forest algorithms achieved a score of 79% when optimally tuned; however, the training accuracy was 99%. …”
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Reliability of using CBCT scans to derive the parameters of the facial canal by Shavana Govender, Tania Hanekom, René Human-Baron

“…However, the differences have implications for modelling in that CBCT measurements underestimate the true size for the various segments of the FC. …”
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Optimizing Screw Fixation in Total Hip Arthroplasty: A Deep Learning and Finite Element Analysis Approach by Jacob Stroud, Emily T. Yan, Jacob Anthony, Kyle Walker, Chung-Hyun Goh

“…These findings contribute to developing a computational protocol for personalized acetabular cup fixation, with implications for reducing revision rates and improving surgical outcomes.…”
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Multivariate forecasting of dengue infection in Bangladesh: evaluating the influence of data downscaling on machine learning predictive accuracy by Mahadee Al Mobin

“…This research marks a significant advancement in predictive epidemiology, offering a scalable framework for DENV and other vector-borne diseases, with implications for improving public health responses in vulnerable regions globally.…”
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Measurement of level of PTSD with the International Trauma Questionnaire (ITQ): bias and precision when using full ordinal or dichotomized items by Tine Nielsen, Ask Elklit, Sabrina Brødsgaard Nielsen, Mikkel Auning-Hansen, Svend Kreiner, Maria Louison Vang

“…Measurement by scores over dichotomized items increased the standard error of measurement and reduced the reliability to a level, where psychometric theory would conclude that the measure of PTSD was inapplicable. …”
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Specialized Medical Weight Management Intervention for High-Risk Obesity by Gitanjali Srivastava, Chelsea Paris, Jessica Johnson, Emma Barnes, Brittany L. Cunningham, C. J. Stimson, Kevin D. Niswender, Sabrina J. Poon

“…Mean weight loss from the initial program start date was 6.28% (+/-0.48% standard error of mean [SEM]; 95% confidence interval [CI] 5.34-7.23%). …”
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Assessing the accuracy of adherence and sexual behaviour data in the MDP301 vaginal microbicides trial using a mixed methods and triangulation model. by Robert Pool, Catherine M Montgomery, Neetha S Morar, Oliver Mweemba, Agnes Ssali, Mitzy Gafos, Shelley Lees, Jonathan Stadler, Andrew Nunn, Angela Crook, Richard Hayes, Sheena McCormack

“…This has important implications for the use of structured questionnaires for the collection of data on sexual behaviour and adherence. …”
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Physiological stress differentially impacts cognitive performance during—and memory following—simulated police encounters with persons experiencing a mental health crisis by Hannah Marlatte, Hannah Marlatte, Paula M. Di Nota, Judith P. Andersen

“…Increased heart rate during the post-incident debrief was associated with the following: making a lethal force error during the scenario, decreased memory for perceptual aspects of the scenario, and impaired recall of one’s own actions. …”
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Integrating remote sensing and machine learning to evaluate environmental drivers of post-fire vegetation recovery in the Mount Kenya forest by Loventa Anyango Otieno, Terry Amolo Otieno, Brian Rotich, Katharina Löhr, Harison Kiplagat Kipkulei

“…These findings have significant implications for adaptive management strategies in tropical montane ecosystems facing increasing wildfire risks.…”
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Technological Advancements and Economic Growth as Key Drivers of Renewable Energy Production in Saudi Arabia: An ARDL and VECM Analysis by Faten Derouez

“…These insights provide valuable implications for policymakers and stakeholders aiming to accelerate the transition to renewable energy in Saudi Arabia.…”
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RETRACTED ARTICLE: Machine learning intelligent based hydromagnetic thermal transport under Soret and Dufour effects in convergent/divergent channels: a hybrid evolutionary numeric... by Muhammad Naeem Aslam, Nadeem Shaukat, Arshad Riaz, Ilyas Khan, Shafiullah Niazai

“…The minimum fitness function value is 1.32 × 10−8 computed across these multiple runs. The absolute error, between the HAM and machine learning approach addressed ranging from 3.55 × 10−7 to 1.90 × 10−8. …”
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Explainable Ensemble Learning Model for Residual Strength Forecasting of Defective Pipelines by Hongbo Liu, Xiangzhao Meng

“…The model’s prediction performance is evaluated using mainstream metrics such as the Mean Absolute Percentage Error (MAPE), Coefficient of Determination (R²), Root Mean Square Error (RMSE), robustness analysis, overfitting analysis, and grey relational analysis. …”
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The role of the measurement and measurement equipment management system in the arms industry by Monika Bernatek, Mieczysław Jan Magierski

“…In this way, the measurement is more reliable, both human error and system unreliability can be excluded. …”
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Influences of work stressors and family support: the mediating role of job performance by Rajpreet Kaur

“…Root-mean-square approximation error and CMIN/DF were also used to further assess the model’s validity. …”
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Diffraction studies of WS2 crystallographic ordering during laser MBE growth on Al2O3(0001) by E. Lobanova, M. Dorogov, V. Fedorov, T. Grasser, Y. Illarionov, I. Eliseyev, V. Davydov, A. Korovin, S. Suturin, N. Sokolov

“…For optimal integration of 2D materials into fab-compatible processes, it is essential to grow them directly onto suitable insulating substrates, thereby avoiding error-prone transfer procedures. In the present paper, ultrathin films of WS2 were grown on Al2O3 using laser molecular beam epitaxy (LMBE). …”
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Enhancing whole-profile soil organic carbon predictions in croplands through a depth-resolved modelling approach by Hangxin Zhou, Yuchen Wei, Mingming Wang, Liujun Xiao, Zhongkui Luo

“…This depth-resolved modelling approach has implications for predicting whole-profile SOC dynamics in response to nitrogen fertilization, tillage and residue management scenarios. …”
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Navigating Uncertainty: Advanced Techniques in Pedestrian Intention Prediction for Autonomous Vehicles—A Comprehensive Review by Alireza Mirzabagheri, Majid Ahmadi, Ning Zhang, Reza Alirezaee, Saeed Mozaffari, Shahpour Alirezaee

“…Furthermore, we explore the implications of uncertainty types—epistemic and aleatoric—and discuss their integration into autonomous vehicle systems. …”
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Navigating Ethical Dilemmas Of Generative AI In Medical Writing by Qurrat Ulain Hamdan, Waleed Umar, Mahnoor Hasan

“…The privacy concerns that arise from AI-driven tools have been previously discussed in the context of the development of diagnostic decision support systems.7 However, their possible implications regarding academic writing are uncertain. …”
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