Multivariate predictive modeling of compressive strength in ground granulated blast furnace slag/fly ash-based alkali-activated concrete by Dina A. Emarah

“…Additionally, the study introduced advanced performance metrics, including R2, RMSE, Scatter Index (SI), Objective Function (OBJ), and Scatter Index (SI), to provide a more robust validation of the models. …”
Get full text

Acceptability and impact of computerised cognitive training on mental health and cognitive skills in schizophrenia: a double-blind controlled trial by Elahe Fathi Azar, Hooshang Mirzaie, Samaneh Hosseinzadeh, Hojjat Allah Haghgoo

“…Background Schizophrenia is characterised by pervasive cognitive deficits that significantly impair daily functioning and quality of life. Pharmacological treatments have limited efficacy in addressing these deficits, highlighting the need for adjunctive interventions like computerised cognitive training (CCT).Aims This study aimed to evaluate the effects of a 30-session CCT programme on mental well-being and cognitive performance in individuals with schizophrenia. …”
Get full text

Smart Grid Self-Healing Enhancement E-SOP-Based Recovery Strategy for Flexible Interconnected Distribution Networks by Wanjun Li, Zhenzhen Xu, Meifeng Chen, Qingfeng Wu

“…Second, with maximizing total load recovery as the objective function, the constraints of E-SOPs are comprehensively considered, and recovery priorities are established based on load importance classification. …”
Get full text

From Studies to Systems: Ray Rist’s Influence on Evaluation Systems: Insights from International Research Group for Policy and Program Evaluation (INTEVAL) by María Bustelo, Steve Jacob

“…Purpose: This article seeks to draw on the extensive body of knowledge developed by Ray Rist and the members of INTEVAL to better understand how evaluation systems are built, how they function, and what impacts they may have on the evaluation practice. …”
Get full text

Research on the Optimization of the PID Control Method for an EOD Robotic Manipulator Using the PSO Algorithm for BP Neural Networks by Yunkang Zhou, Xiaohui He, Faming Shao, Xiangpo Zhang

“…Under the same step function conditions, the overshoot is only 1.37%, significantly lower than other methods, and the settling time is only 14 s. …”
Get full text

Parenting, identity development, internalizing symptoms, and alcohol use: a cross-sectional study in a group of Italian adolescents by Pellerone M, Tolini G, Polopoli C

“…Monica Pellerone, Giacomo Tolini, Caterina Polopoli Faculty of Human and Social Sciences, “Kore” University of Enna, Enna, Italy Background: Literature has demonstrated the adaptive function of identity development and parenting toward manifestation of problem behaviors in adolescence. …”
Get full text

A Novel Fuzzy PIDF Enhancing PIDF Controller Tuned in Two Stages by TLBO and PSO Algorithms for Reliable AVR Performance by Mokhtar Shouran, Mohammed Alenezi

“…The tuning process for both stages employs the well-known Integral Time Absolute Error (ITAE) cost function in conjunction with the TLBO and PSO algorithms. …”
Get full text

GSF-YOLOv8: A Novel Approach for Fire Detection Using Gather-Distribute Mechanism and SimAM Attention by Caixiong Li, Dali Wu, Xing Zhang, Peng Wu

“…Lastly, we proposed a Focal-DIoU Loss to replace the original loss function, optimizing bounding box regression and improving localization accuracy. …”
Get full text

Identification of digital twins to guide interpretable AI for diagnosis and prognosis in heart failure by Feng Gu, Andrew J. Meyer, Filip Ježek, Shuangdi Zhang, Tonimarie Catalan, Alexandria Miller, Noah A. Schenk, Victoria E. Sturgess, Domingo Uceda, Rui Li, Emily Wittrup, Xinwei Hua, Brian E. Carlson, Yi-Da Tang, Farhan Raza, Kayvan Najarian, Scott L. Hummel, Daniel A. Beard

“…These twins, consisting of optimized measurable and unmeasurable parameters alongside simulations of cardiovascular function, provided comprehensive representations of individual disease states. …”
Get full text

Individualized spatial network predictions using Siamese convolutional neural networks: A resting-state fMRI study of over 11,000 unaffected individuals. by Reihaneh Hassanzadeh, Rogers F Silva, Anees Abrol, Mustafa Salman, Anna Bonkhoff, Yuhui Du, Zening Fu, Thomas DeRamus, Eswar Damaraju, Bradley Baker, Vince D Calhoun

“…Individuals can be characterized in a population according to their brain measurements and activity, given the inter-subject variability in brain anatomy, structure-function relationships, or life experience. Many neuroimaging studies have demonstrated the potential of functional network connectivity patterns estimated from resting functional magnetic resonance imaging (fMRI) to discriminate groups and predict information about individual subjects. …”
Get full text

Transcriptional regulation of lineage commitment--a stochastic model of cell fate decisions. by Jose Teles, Cristina Pina, Patrik Edén, Mattias Ohlsson, Tariq Enver, Carsten Peterson

“…Probability of commitment in time is a function of gene expression as defined by a logistic regression model obtained from experimental single-cell expression data. …”
Get full text

Septohippocampal acetylcholine and theta oscillations can modulate memory encoding and retrieval: Insights from a neural masses network by Gabriele Pirazzini, Mauro Ursino

“…Here, we present a computational model based on neural masses, simulating the possible role of ACh on hippocampal function. A first set of simulations was performed assuming that ACh’s dynamics are comparable to those of theta. …”
Get full text

An improved Red-billed blue magpie feature selection algorithm for medical data processing. by Chenyi Zhu, Zhiyi Wang, Yinan Peng, Wenjun Xiao

“…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …”
Get full text

Same assignment—two different feedback contexts: lower secondary students’ experiences with feedback during a three draft writing process by Synnøve Heggedal Moltudal, Siv M. Gamlem, Meerita Segaran, Irina Engeness

Get full text

Prostaglandin endoperoxide synthase 2 regulates neuroinflammation to mediate postoperative cognitive dysfunction in mice by Xuelian Li, Xuemei Li, Qixin Zhang, Yiyun Li, Yingshun Zhou, Jun Zhou, Xiaoxia Duan

“…Inhibition of PTGS2 alleviated hippocampal inflammation, and the Morris water maze test showed improved learning and memory functions that were previously impaired. …”
Get full text

Cardiometabolic disease risk in gorillas is associated with altered gut microbial metabolism by Samuel Davison, Anna Mascellani Bergo, Zoe Ward, April Sackett, Anna Strykova, José Diógenes Jaimes, Dominic Travis, Jonathan B. Clayton, Hayley W. Murphy, Marietta D. Danforth, B. Katherine Smith, Ran Blekhman, Terence Fuh, Frédéric Stéphane Niatou Singa, Jaroslav Havlik, Klara Petrzelkova, Andres Gomez

“…These findings show that cardiometabolic disease in gorillas is potentially associated with altered gut microbial function, influenced by zoo-specific diets and environments.…”
Get full text

A UAV Image Stitching Method for Complex Urban Environments by W. Niu, D. Qiu, R. Wu, R. Wu, Z. Wang, Y. Shi

“…Finally, a global energy function, including reprojection error and smoothness constraints, is constructed to iteratively optimize the homography matrix and suppress stitching distortions. …”
Get full text

Refreshable memristor via dynamic allocation of ferro-ionic phase for neural reuse by Jiangang Chen, Zhixing Wen, Fan Yang, Renji Bian, Qirui Zhang, Er Pan, Yuelei Zeng, Xiao Luo, Qing Liu, Liang-Jian Deng, Fucai Liu

“…Abstract Neural reuse can drive organisms to generalize knowledge across various tasks during learning. However, existing devices mostly focus on architectures rather than network functions, lacking the mimic capabilities of neural reuse. …”
Get full text

Rudraksh: A compact and lightweight post-quantum key-encapsulation mechanism by Suparna Kundu, Archisman Ghosh, Angshuman Karmakar, Shreyas Sen, Ingrid Verbauwhede

“…We have also shown how ASCON can be used for lightweight pseudo-random number generation and hash function in the lattice-based KEMs instead of the widely used Keccak for lightweight design. …”
Get full text

The positive effects of high-frequency right dorsolateral prefrontal cortex repetitive transcranial magnetic stimulation on memory, correlated with increases in brain metabolites d... by Qiao J, Jin G, Lei L, Wang L, Du Y, Wang X

“…Materials and methods: In this randomized, double-blind sham-controlled trial, alcohol-dependent patients were enrolled and randomized into two groups: the experimental group (rTMS, 10 Hz, on right DLPFC, 20 sessions) and the control group (sham stimulation). Memory function was assessed using Hopkins Verbal Learning Test-Revised (HVLT-R) and Brief Visuospatial Memory Test-Revised (BVMT-R) before and after treatment. 1H-MRS was used to detect the levels of N-acetyl aspartic acid (NAA), choline (Cho), and creatine (Cr) in bilateral hippocampi before and after treatment. …”
Get full text