Predicting tuberculosis drug properties using extended energy based topological indices via a python driven QSPR approach by Kiran Naz, Hafiz Muhammad Bilal, Muhammad Kamran Siddiqui, Sarfraz Ahmad, Mustafa Ahmed Ali

“…Among the three models, the quadratic regression always yields the best predictability, as reflected in the largest coefficient of determination ( $$R^2$$ ) as well as the minimum root mean square error (RMSE) values. Visual analyses such as heatmaps, scatter plot matrices, bar charts, and regression plots are employed to complement the numerical findings. …”
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Model-based hierarchal control framework for frequency and voltage stability in islanded microgrids with low inertia by Girmaw Teshager Bitew, Teketay Mulu Beza, Muhammad Shahzad

“…The main results include frequency deviation below 0.04 Hz (versus 0.12 Hz for droop control), voltage regulation error within ±1.2% (versus ±4.2% for droop control), and a 50% reduction in communication traffic. …”
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REGULAR METHOD FOR SYNTHESIS OF BASIC BENT-SQUARES OF RANDOM ORDER by A. V. Sokolov

“…Bent-functions also find their application in the construction of C-codes in the systems with code division multiple access (CDMA) to provide the lowest possible value of Peak-to-Average Power Ratio (PAPR) k = 1, as well as for the construction of error-correcting codes and systems of orthogonal biphasic signals. …”
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Abnormal anatomical connectivity between the amygdala and orbitofrontal cortex in conduct disorder. by Luca Passamonti, Graeme Fairchild, Alex Fornito, Ian M Goodyer, Ian Nimmo-Smith, Cindy C Hagan, Andrew J Calder

“…<h4>Objective</h4>Previous research suggested that structural and functional abnormalities within the amygdala and orbitofrontal cortex contribute to the pathophysiology of Conduct Disorder (CD). …”
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PRICING OF CALL OPTIONS USING THE QUASI MONTE CARLO METHOD by Indah Oktaviani, Evy Sulistianingsih, Neva Satyahadewi

“…The purpose of this research is to determine the price of European-type call options using the Quasi-Monte Carlo method. …”
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Prediction of China’s Silicon Wafer Price: A GA-PSO-BP Model by Jining Wang, Hui Chen, Lei Wang

“…The MAE (Mean Absolute Error) value of the GA-PSO-BP model is 31.01% lower than those of the standalone BP model and also falls by 19.36% and 16.28% relative to the GA-BP and PSO-BP models, respectively. …”
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Mobile Robot Positioning with Wireless Fidelity Fingerprinting and Explainable Artificial Intelligence by Hüseyin Abacı, Ahmet Çağdaş Seçkin

“…The contributions of this research include comprehensive 3D position estimation, utilization of existing Wi-Fi infrastructure, and a carefully collected dataset for evaluation. …”
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Underwater Sound Speed Profile Inversion Based on Res-SACNN from Different Spatiotemporal Dimensions by Jiru Wang, Fangze Xu, Yuyao Liu, Yu Chen, Shu Liu

“…The average root mean square error (RMSE) is decreased by 0.92 m/s in the time-domain experiment in the South China Sea, and the inversion results for each month are more consistent. …”
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Vibrational Frequencies of Dichlorodifluoromethane Using a Lie Algebraic Framework by P. Suneetha, B.V.S.N. Hari Prasad, J. Vijayasekhar

“…By significantly contributing to reducing the error margin in computational molecular physics, this methodology opens exciting possibilities for future research and development…”
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Estimating Polar Bear (Ursus maritimus) Age Based on an Epigenetic DNA Methylation Clock by Susannah P. Woodruff, Milda Milčiūtė, Juozas Gordevičius, Robert Brooke, Todd C. Atwood

“…The final polar bear clock was highly accurate (r = 0.97) with a median absolute error of approximately 9 months. We applied the polar bear clock to 74 blood samples from live‐captured polar bears with a cementum annuli‐estimated age. …”
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“Coping self-efficacy scale” evaluation of the Turkish validity and reliability of the scale by Ozden Gokdemir, Ogulcan Come, Cetin Akın, Merthan Tunay

“…Method: The study is a correlational cross-sectional type of methodological study conducted with 255 family physicians. In the research, data were collected using descriptive data record form and the CSES. …”
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Analysis Method of Combine Harvesters Technical Level by Functional and Structural Parameters by E. V. Zhalnin, Yu. S. Tsench, V. S. P'yanov

“…Verification of this equation in the process of operation of the combine showed that it statistically stable and the estimates are always within the confidence interval with an error of 5-8 percent. It was found that four parameters of the variety of factors, that affect the performance of the harvester per hour net time, having most close correlation with it are: the motor power and the square of the separation concave, straw walkers and sieves for cleaning. …”
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Humanoid Robots like Tesla Optimus and the Future of Supply Chains: Enhancing Efficiency, Sustainability, and Workforce Dynamics by Mohammad Shamsuddoha, Tasnuba Nasir, Mohammad Saifuddoha Fawaaz

“…According to Tesla, Optimus could significantly enhance supply chain efficiency by reducing error rates, streamlining workflows, and enabling 24/7 operations. …”
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Projection and assessment of future droughts in Iowa: developing a machine learning model and an interactive application by Ingrid Cintura, Antonio Arenas

“…With a Root Mean Squared Error of 0.19 and an R2 of 91%, the model achieved a high level of accuracy, making it effective in guiding conservation practices and enabling timely interventions. …”
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Emergence to dominance: Estimating time to dominance of SARS-CoV-2 variants using nonlinear statistical models. by Srishti Awasthi, Maryam Zolfaghari Dehkharghani, Miguel Fudolig

“…Model performance was evaluated using the Akaike Information Criteria (AIC) and the root mean square error (RMSE).<h4>Findings</h4>The Weibull model performed the worst out of all three approaches. …”
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Artificial intelligence-integrated video analysis of vessel area changes and instrument motion for microsurgical skill assessment by Taku Sugiyama, Minghui Tang, Hiroyuki Sugimori, Marin Sakamoto, Miki Fujimura

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Parameter identification and sensitivity analysis of a lower-limb musculoskeletal model by Jinghang Li, Keyi Wang, Yi Yuan, Zhipeng Deng, Yi Lui

“…The results indicate that the proposed musculoskeletal model can provide individuals with comparable normalized root mean square error (NRMSE) through parameter identification, and the sensitivity-based model simplification method is effective.…”
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Prototyping Applications for Post-Stroke Rehabilitation With Kinesthesic Haptic Technology by Naoya Tojo, Tomoyuki Shimono

“…On average across all patients, the error in the reaching trajectory was reduced to 0.39 times. …”
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An Efficient Random Forest Classifier for Detecting Malicious Docker Images in Docker Hub Repository by Maram Aldiabat, Qussai M. Yaseen, Qusai Abu Ein

“…This performance refers to its capability to accurately classify the images and effectively distinguish between secure and insecure images, in addition to the minimal error rate of less than 1%, outperforming state-of-the-art models to identify malicious Docker images.…”
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A density-based MS disease diagnosis model using the capuchin search algorithm and an ensemble of deep neural networks by LiJuan Bai, Jiao Wu, Li Chen, Xin Jiang, ZhuYin Song

“…Abstract Multiple sclerosis (MS) is a severe brain disease that permanently destroys brain cells, impacting vision, balance, muscle control, and daily activity. This research employs a weighted combination of deep neural networks and optimization techniques for MS disease diagnosis. …”
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