The effect of interpersonal psychotherapy and other psychodynamic therapies versus 'treatment as usual' in patients with major depressive disorder. by Janus Christian Jakobsen, Jane Lindschou Hansen, Erik Simonsen, Christian Gluud

“…Randomized trials with low risk of systematic errors and low risk of random errors are needed.…”
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Research on the Simulation Model of Dynamic Shape for Forest Fire Burned Area Based on Grid Paths from Satellite Remote Sensing Images by Xintao Ling, Gui Zhang, Ying Zheng, Huashun Xiao, Yongke Yang, Fang Zhou, Xin Wu

“…The results show that RF is the optimal model with 49.55 m for root mean square error (RMSE), 29.19 m for mean absolute error (MAE) and 0.9823 for coefficient of determination (R²). …”
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Ophthalmologic Manifestations in Bardet–Biedl Syndrome: Emerging Therapeutic Approaches by Amaris Rosado, Ediel Rodriguez, Natalio Izquierdo

“…Additional ocular manifestations, such as refractive errors, nystagmus, optic nerve abnormalities, and cataracts further contribute to visual morbidity. …”
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Nursing Care of a Patient Diagnosed with Thalassemia Major According to Gordon’s Functional Health Patterns Model: A Case Report by Gülbeyaz Baran Durmaz, Metin Suiçmez

“…B.A.’s family, with limited knowledge about her conditions, actively participated in educational programs. Interventions included stress management, patient education, family training, psychosocial support, and physical rehabilitation.Conclusion: Results of these interventions lead to improvements in B.A.’s stress, self-esteem, sleep, attention, and physical activity. …”
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Sports Orthopedics by Engel T, Arampatzis A, Moreno Català M, Kopinski S, Mayer F

“…Background: This overview provides an introduction to neuromuscular adaptations by exercise interventions based on random perturbations. It is outlined that specific therapeutic intervention based on perturbations may improve spine stability during disturbances as well as neuromuscular control errors and thereby may increase the efficiency of treatment in low back pain.Methods: Specific experimental approaches to assess neuromuscular control of trunk stability during and after perturbations are presented. …”
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A Subgrid Modelling Approach to Nature‐Based Solutions (NbS): Enhancing Flood Risk Management in Riseley, UK by Amrie Singh, Harry Mansfield, Maria Pregnolato, Nigel Wright

“…However, a lower SGS frequency of three introduces notable numerical artefacts, leading to persistent negative cumulative volume errors and misrepresenting water retention within the system. …”
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A Low-Cost Arduino-Based I–V Curve Tracer with Automated Load Switching for PV Panel Characterization by Pedro Leineker Ochoski Machado, Luis V. Gulineli Fachini, Erich T. Tiuman, Tathiana M. Barchi, Sergio L. Stevan, Hugo V. Siqueira, Romeu M. Szmoski, Thiago Antonini Alves

“…Experimental validation demonstrated high agreement with a single-diode PV model, achieving a mean absolute percentage error (MAPE) of 4.40% against the manufacturer’s data. …”
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Towards safer steel operations with a multi model framework for accident prediction and risk assessment simulation by Shatrudhan Pandey, Abhishek Kumar Singh, Shreyanshu Parhi, Sanjay Kumar Jha

“…Survival analysis indicated the role of timely interventions in reducing severe accidents. Additionally, temporal insights aid in timing interventions, improving safety strategy efficacy. …”
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Formulae for calculating subgroup disease burden from overall and reported or assumed relative burden estimates by Kwame Owusu-Edusei, Arijita Deb, Elamin H. Elbasha

“…Conclusion: These formulae can help to avoid or minimize potential quantitative and qualitative errors in subgroup or subpopulation disease burden estimates used for health research, interventions and/or policy analyses or deliberations.…”
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Understanding ITBS in Athletes: A Comprehensive Systematic Review by Alicja Grzelak

“…Current evidence underscores the significance of addressing biomechanical imbalances, training errors, and recovery deficits. While rehabilitation strategies focused on strengthening, flexibility, and neuromuscular control show efficacy, variability in treatment outcomes highlights the need for personalized interventions and further research to optimize prevention and recovery protocols. …”
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Navigating cognitive boundaries: the impact of CognifyNet AI-powered educational analytics on student improvement by Mrim M. Alnfiai, Faiz Abdullah Alotaibi, Mona Mohammed Alnahari, Nouf Abdullah Alsudairy, Asma Ibrahim Alharbi, Saad Alzahrani

“…Evaluated through rigorous 5-fold cross-validation on a comprehensive dataset of 1200 anonymized student records and validated across multiple educational platforms, including UCI Student Performance and Open University Learning Analytics datasets, CognifyNet demonstrates superior performance over conventional approaches, achieving 10.5% reduction in mean squared error and 83% reduction in mean absolute error compared to baseline random forest models, with statistical significance confirmed through paired t-tests (p < 0.01). …”
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Improving Event Data in Football Matches: A Case Study Model for Synchronizing Passing Events with Positional Data by Alberto Cortez, Bruno Gonçalves, João Brito, Hugo Folgado

“…Spatial differences in OSD were also compared to the RSD data and to the original data from the provider. Root mean square error (<i>RMSE</i>) and mean absolute error (<i>MAE</i>) were utilized to assess the accuracy of both procedures. …”
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Vergence Eye Movements: From Basic Science to Clinical Application by Wolfgang Jaschinski, Rudolf Groner

“…The question arises: Are the difference in the measurements due to noise, to error, or due to physiological processes? A further difficulty arises from the individual differences between observers. …”
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Augmented Reality in Dentistry: Enhancing Precision in Clinical Procedures—A Systematic Review by Francesco Puleio, Vincenzo Tosco, Rosario Pirri, Michele Simeone, Riccardo Monterubbianesi, Giorgio Lo Giudice, Roberto Lo Giudice

“…In dentistry, digital planning on bidimensional screens lacks real-time feedback, leading to potential errors. However, it is not clear if AR can improve the clinical treatment precision. …”
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Factors Influencing the Acceptability and Uptake of HIV Self-Testing Among Priority Populations in Sub-Saharan Africa: A Scoping Review by Felix Emeka Anyiam, Maureen Nokuthula Sibiya, Olanrewaju Oladimeji, Olanrewaju Oladimeji

“…Peer-led and digital distribution strategies show the potential to increase uptake. However, user errors and economic constraints pose significant barriers to scaling HIVST, underscoring the need for targeted interventions to address these implementation challenges for optimal impact.ConclusionWhile HIVST can boost testing rates among PPs in SSA, overcoming access and utilization barriers is crucial. …”
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Towards a System Dynamics Framework for Human–Machine Learning Decisions: A Case Study of New York Citi Bike by Ganesh Sankaran, Marco A. Palomino, Martin Knahl, Guido Siestrup

“…The study showcases how sophisticated machine learning models, with the ability to forecast underlying market demands unconstrained by historical supply issues, can cause imbalances that induce user behaviour, potentially spoiling plans without timely interventions. Our approach allows problems to surface during the design phase, potentially avoiding costly deployment errors in the joint performance of human and AI decision-makers.…”
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Explainable artificial intelligence-machine learning models to estimate overall scores in tertiary preparatory general science course by Sujan Ghimire, Shahab Abdulla, Lionel P. Joseph, Salvin Prasad, Angela Murphy, Aruna Devi, Prabal Datta Barua, Ravinesh C. Deo, Rajendra Acharya, Zaher Mundher Yaseen

“…The findings highlight the superior performance of the proposed model, exhibiting the lowest Root Mean Squared Error (RMSE) and Relative Root Mean Squared Error (RRMSE), as well as the highest Willmott's index (WI), Legates–McCabe index (LM), and Nash–Sutcliffe Efficiency (NS). …”
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A clinical prediction model for blood pressure changes after renal denervation in patients with resistant hypertension by Yishuan Zhang, Ruiqing He, Chen Chen, Hong Zhang, Lingyan Li, Rongxue Xiao, Shuangyu Chen, Shuyi Wu, Zongjun Liu, Junqing Gao

“…In the prediction model on SBP change, compared to the OLS model, the Ridge regression exhibited lower prediction errors [mean absolute error [MAE]: 6.40 vs. 6.95; mean squared error [MSE]: 65.58 vs. 76.15] and a higher R² (0.79 vs. 0.72). …”
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Comparison of amblyopia in schoolchildren in Ireland and Northern Ireland: a population-based observational cross-sectional analysis of a treatable childhood visual deficit by Veronica O'Dwyer, Kathryn Saunders, Siofra Harrington, Karen Breslin

“…Children without obvious visible eye defects were less likely to access eye care in Ireland, resulting in missed opportunities for intervention where necessary.…”
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Influence of puberty timing on adiposity and cardiometabolic traits: A Mendelian randomisation study. by Joshua A Bell, David Carslake, Kaitlin H Wade, Rebecca C Richmond, Ryan J Langdon, Emma E Vincent, Michael V Holmes, Nicholas J Timpson, George Davey Smith

“…<h4>Conclusions</h4>Our results suggest that puberty timing has a small influence on adiposity and cardiometabolic traits and that preventive interventions should instead focus on reducing childhood adiposity.…”
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