A novel prediction model for the prognosis of non-small cell lung cancer with clinical routine laboratory indicators: a machine learning approach by Yuli Wang, Na Mei, Ziyi Zhou, Yuan Fang, Jiacheng Lin, Fanchen Zhao, Zhihong Fang, Yan Li

“…Moreover, regression models were constructed using the random survival forest algorithm by incorporating the survival time dimension. Finally, critical variables in the optimal model were screened based on the interpretable algorithms to build a decision tree to facilitate clinical application. …”
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Combining Machine Learning With Real-World Data to Identify Gaps in Clinical Practice Guidelines: Feasibility Study Using the Prospective German Stroke Registry and the National Ac... by Sandrine Müller, Susanne Diekmann, Markus Wenzel, Horst Karl Hahn, Johannes Tuennerhoff, Ulrike Ernemann, Florian Hennersdorf, Max Westphal, Sven Poli

“…This approach may help uncover clinically relevant variables for potential inclusion in future guideline refinements.…”
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Comparison of three recent discrete stochastic inversion methods and influence of the prior choice by Juda, Przemysław, Straubhaar, Julien, Renard, Philippe

“…Moreover, the inverse problem is solved three times with each method, each time using a different training image to check the performance of the methods with different geological priors. …”
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Temporal GeneTerrain: advancing precision medicine through dynamic gene expression visualization by Ehsan Saghapour, Ehsan Saghapour, Rahul Sharma, Delower Hossain, Delower Hossain, Kevin Song, Kevin Song, Zhandos Sembay, Zhandos Sembay, Jake Y. Chen, Jake Y. Chen

“…Expression values were first Z-score normalized, and the 1,000 most variably expressed genes were selected. …”
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Modular multilevel converter periodic trajectory determination — A generic Fourier-based collocation method by Philippe De Rua, Jef Beerten

“…This paper fills this gap by presenting a highly flexible Fourier-based collocation method which seamlessly accounts for control dynamics, nonlinearity and delays. Being based in the time-domain, the developed method naturally accounts for nonlinearity in the differential equations and, being real-valued, it is solved efficiently with readily available root-finding Newton-based algorithms. …”
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Bayesian Architecture for Predictive Monitoring of Unbalance Faults in a Turbine Rotor–Bearing System by Banalata Bera, Shyh-Chin Huang, Po Ting Lin, Yu-Jen Chiu, Jin-Wei Liang

“…Therefore, monitoring unbalance faults is essential for predictive maintenance. While conventional time-invariant mathematical models can assess the impact of these faults, they often rely on proper assumptions of system factors like bearing stiffness and damping characteristics. …”
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Machine learning-assisted classification of hip conditions in pediatric cerebral palsy patients using migration percentage measurements by Sema Ertan Birsel, Ekrem Demirci, Ali Seker, Kadriye Yasemin Usta Ayanoğlu, Emir Oncu, Fatih Ciftci

“…Hip displacement is a significant concern in children with cerebral palsy (CP), necessitating accurate and timely assessment to prevent long-term complications. …”
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Estimated versus actual: variation in patrol effort and estimates of number of surveys needed for efficient law enforcement in protected areas by Victor Agyei, Mac E. Nutsuakor, Papa Kofi Amissah-Reynolds, Aisha Ali, Pascal P. Agro, Emmanuel Danquah

“…The estimated survey effort was significantly higher than the patrol effort and necessitated an increase in the number of patrols per unit time to improve the protection of the species in the KRR.…”
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Psychophysiological and Dual-Task Effects of Biofeedback and Neurofeedback Interventions in Airforce Pilots: A Pilot Study by Juan Pedro Fuentes-García, Juan Luis Leon-Llamas, Santos Villafaina

“…Regarding dual-task performance, the experimental group showed lower reaction time and a better ratio taps/reaction post-intervention. …”
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Enhanced wind power forecasting using machine learning, deep learning models and ensemble integration by T. A. Rajaperumal, C. Christopher Columbus

“…Abstract The inherent variability of wind and solar energy introduces fluctuations in power generation, making accurate forecasting essential for maintaining the grid’s stability. …”
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Oral health and quality of life in children with blood coagulation disorders and hemoglobinopathies. A cross-sectional study by Vediyera Chandroth Santhosh, Ankit Mahajan, Abhigyan Manas, Madhura Pawar, Shivangi Gupta

“…‘Chi-square’ statistical tool was used for comparison of categorical variables. Continuous type of data was analyzed by ‘Mann–Whitney U’ test. …”
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Tree species and management controls on the water storage in forest soil and underlying slope deposits revealed by electrical resistivity tomography by Kašiar Milan, Židó Ján, Homolák Marián

“…To calibrate the spatial variability of moisture, we used the time domain reflectometry (TDR) method to determine the volumetric soil water content. …”
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A three stage attention enabled stacked deep CNN-BiLSTM (ASDCBNet) model for end-to-end monitoring of wastewater treatment plant by S. Ullas, B. Uma Maheswari, Seshaiah Ponnekant, T. M. Mohan Kumar

“…The proposed model achieved high forecasting accuracy, with RMSE and MAE values of 95.23 m3/day (1.36%) and 80.23 m3/day (1.15%), respectively, on inflow volumes ranging from 7000 to 10,000 m3/day. …”
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Flash Glucose Monitoring for Predicting Cardiogenic Shock Occurrence in Critically Ill Patients: A Retrospective Pilot Study by Velimir Altabas, Dorijan Babić, Anja Grulović, Tomislav Bulum, Zdravko Babić

“…FGM-detected hypoglycemia was more frequent in patients who developed cardiogenic shock (<i>p</i> = 0.0129, χ² test) with a significantly higher time below range reading (<i>p</i> = 0.0093, Mann Withney U test), despite no differences in mean glucose values. …”
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Towards decarbonizing large-scale industries: A decision support framework for optimizing grid-connected PV-battery energy systems planning – Case study of an OCP mining site, Moro... by Oumaima Mahir, Abdelilah Rochd, Aboubakr Benazzouz, Hicham Ghennioui

“…Through this analysis, the study assesses the impact of these variables on the calculated cost of energy. Experimental results revealed a range of LCOE values from $0.07111/kWh to $0.11847/kWh for high renewable energies integration.…”
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Remote web-based self-assessment of visual acuity versus ETDRS in patients with macular diseases: a method comparison study by Casper van der Zee, Leon Daniel Huang Huynh, Saskia Marijke Imhof, Jeannette Ossewaarde-van Norel, Redmer van Leeuwen, Robert Pieter Leendert Wisse

“…Abstract Background Macular diseases (MD) lead to frequent clinic visits, involve time-consuming visual acuity (VA) measurements by professionals. …”
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Development of a three-dimensional scoring model for the assessment of continuous glucose monitoring data in type 1 diabetes by Markus Lundgren, Daniel Espes, Per-Ola Carlsson, Henrik Hill, José Caballero-Corbalan, Jeanie Dawnbringer, Lars Cederblad

“…Values for each dimension were normalized to a numeric score between 0–100. …”
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On One Co-Integration Issue of Trade Links of Azerbaijan, Russia, Belarus and Kazakhstan by E. G. Orudzhev, S. M. Huseynova

“…A new specification of the model with respect to the logarithms of the source variables is defined. Based on the minimization of the mean square error, estimates of the model parameters are found. …”
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A novel approach to estimating Rt through infection networks: understanding regional transmission dynamics of COVID-19 by Byul Nim Kim, Junwoo Jo, Chunyoung Oh, Sanghyeok Moon, Arsen Abdulali, Sunmi Lee

“…As the Delta variant emerged, our Rt values converged with Cori's, underscoring the utility of network-based methods for capturing nuanced shifts during high-variability phases.DiscussionIncorporating infection networks into Rt estimation thus provides decision-makers with timely insights for targeted interventions. …”
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Avaliação do desempenho do modelo CLIGEN em gerar dados climáticos para modelos hidrológicos e agronômicos Performance evaluation of CLIGEN model to generate climatic data for agro... by Adão W. P. Evangelista, Paulo A. Ferreira, Fernando F. Pruski, Gilberto C. Sediyama

“…For utilization of these models, complete climate database, rarely available in Brazil, is required, and most of the time the existence of number of reports are for a short time, therefore, less representative. …”
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