Increasing the Construct Validity of Computational Phenotypes of Mental Illness Through Active Inference and Brain Imaging by Roberto Limongi, Alexandra B. Skelton, Lydia H. Tzianas, Angelica M. Silva

“…However, the emergence of computational psychiatry has paved a new path not only for understanding the psychopathology of mental illness but also to provide practical tools for clinical practice in terms of computational metrics, specifically computational phenotypes. …”
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Computational phenotyping of brain-behavior dynamics underlying approach-avoidance conflict in major depressive disorder. by Mads L Pedersen, Maria Ironside, Ken-Ichi Amemori, Callie L McGrath, Min S Kang, Ann M Graybiel, Diego A Pizzagalli, Michael J Frank

“…Cross-validation revealed that the combination of these computational biomarkers were diagnostic of patient status, with accumbens influences being particularly diagnostic. …”
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Experimental measurement and computational fluid dynamics simulation of mixing in a stirred tank: a review by A. Ochieng, M. Onyango, K. Kiriamiti

“…This trend will further improve the quality of the simulation results for processes such as precipitation, in which micromixing and reaction kinetics are important.…”
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Memory Constraints in Uncertainty Misestimation: A Computational Model of Working Memory and Environmental Change Detection by Li Xin Lim, Rei Akaishi, Sébastien Hélie

“…This study investigated how limited memory capacity influence uncertainty estimation, potentially leading to misestimations of outcomes and environmental statistics. We developed a computational model incorporating active working memory processes and lateral inhibition to demonstrate how relevant information is selected, stored, and used to estimate uncertainty. …”
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Definer: A computational method for accurate identification of RNA pseudouridine sites based on deep learning. by Bo Han, Sudan Bai, Yang Liu, Jiezhang Wu, Xin Feng, Ruihao Xin

“…Pseudouridine is an important modification site, which is widely present in a variety of non-coding RNAs and is involved in a variety of important biological processes. Studies have shown that pseudouridine is important in many biological functions such as gene expression, RNA structural stability, and various diseases. …”
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Complex-amplitude-modulated meta-device for optical image processing by Xinchen Jiang, Peicheng Lin, Yeang Zhang, Tao Tao, Yuan Du, Xuecou Tu, Ting Xu, Yan-qing Lu, Jun-long Kou

“…Nowadays, convolutional neural networks (CNNs) have become a powerful tool in areas such as object recognition and natural language processing. However, considering that electronic convolutional operation always contains million-level parameters and complex calculation process, it consumes a large number of computing resources and time. …”
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Fusing Algorithms for Intersection of Computer Science and Art: Innovations in Generative Art and Interactive Digital Installations by Jingpeng Xie, Miaomiao Yu, Guangliang Liu

“…The findings highlight the transformative impact of these algorithms on art generation, showing that while computational resources and time are higher, the artistic and interactive benefits are substantial. …”
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Implicit neural representation for fast 4D computed tomography of multiphase flow in porous media by Henrik Friis, Håkon Nese, Giacomo Luani, Colin Pryme, Lars Rennan, Basab Chattopadhyay, Anders Kristoffersen, Ole Jakob Mengshoel, Dag Werner Breiby

“…Abstract Time-resolved X-ray computed tomography (4D-CT) enables dynamic processes within objects to be tracked over time. …”
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Application of Perfusion Single Photon Emission Computed Tomography of the Myocardium in Pain-Free Myocardial Ischemia by A. I. Abdrahmanova, N. B. Amirov, N. A. Cibulkin

“…Assessing the state of morphofunctional processes in the myocardium is the main goal of diagnostic imaging using singlephoton emission computed tomography of the myocardium. …”
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Advancements in Virtual Bioequivalence: A Systematic Review of Computational Methods and Regulatory Perspectives in the Pharmaceutical Industry by Nasser Alotaiq, Doni Dermawan

“…Methods: We conducted a systematic review of clinical trials using computational methods, particularly PBPK modeling, to carry out bioequivalence assessments. …”
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Forgetting phenomena in the Iowa Gambling Task: a new computational model among diverse participants by Tiancheng Yang, Chenghan Xie, Xuehe Wang

“…IntroductionThe Iowa Gambling Task (IGT) is a widely used paradigm for evaluating decision-making and executive functioning, yet existing computational models seldom account for the phenomenon of forgetting, which is critical to understanding dynamic decision processes.MethodsWe developed the Exploitation and Exploration with Forgetting (EEF) model, which integrates a dynamic forgetting parameter (λ) and participants' first-choice priors into a unified reinforcement-learning framework. …”
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Fluidisation of spherocylindrical particles: computational fluid dynamics–Discrete element method simulation and experimental investigation by Ling Zhou, Bo Wang, Yupeng Cao, Zhenjiang Zhao, Ramesh Agarwal

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OPTIMIZATION STRATEGIES AND COMPUTATIONAL MODELING IN THE DESIGN AND PERFORMANCE EVALUATION OF GREEN POROUS OIL ADSORBENT MATERIALS by Haoran Zhang, Sagdat Mederbekovna Tazhibayeva

“…Experimental optimization, computational modeling, machine learning prediction, and multi-criteria decision analysis used for high-performance oil spill adsorbents. …”
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Computational Study on the Reaction Mechanism of 5‐Enolpyruvylshikimate‐3‐phosphate Synthase from Nicotiana Tabacum by Qingfang Han, Beibei Lin, Ziwei Liu, Mengsha Li, Zhaopeng Luo, Xixian Xie, Lijuan Ma, Hao Su, Xiang Sheng

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OPTIMIZATION STRATEGIES AND COMPUTATIONAL MODELING IN THE DESIGN AND PERFORMANCE EVALUATION OF GREEN POROUS OIL ADSORBENT MATERIALS by Haoran Zhang, Sagdat Mederbekovna Tazhibayeva

“…Experimental optimization, computational modeling, machine learning prediction, and multi-criteria decision analysis used for high-performance oil spill adsorbents. …”
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Computational Identification of Milk Trait Regulation Through Transcription Factor Cooperation in Murciano-Granadina Goats by Muhammad Imran Khan, Hendrik Bertram, Armin Otto Schmitt, Faisal Ramzan, Mehmet Gültas

“…These traits are governed by complex biological processes, crucial in shaping phenotypic diversity. …”
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Advanced computational tools, artificial intelligence and machine-learning approaches in gut microbiota and biomarker identification by Tikam Chand Dakal, Caiming Xu, Caiming Xu, Abhishek Kumar, Abhishek Kumar

“…The gut microbiota plays a pivotal role in human health, influencing a wide range of physiological processes. Recent advances in computational tools and artificial intelligence (AI) have revolutionized the study of gut microbiota, enabling the identification of biomarkers that are critical for diagnosing and treating various diseases. …”
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Enhanced EEG signal classification in brain computer interfaces using hybrid deep learning models by Abir Das, Saurabh Singh, Jaejeung Kim, Tariq Ahamed Ahanger, Anil Audumbar Pise

“…The BCI architecture processes electroencephalography signals through three critical stages: data pre-processing, feature extraction, and classification. …”
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NEW PARADIGM OF TOURIST ENVIRONMENT MANAGEMENT IN THE CONTEXT OF TRANSFORMATION PROCESS by E. Y. Shchedrina, V. V. Khubulova, A. N. Goncharov, Z. A. Gubieva

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Computational analysis of congenital heart disease associated SNPs: unveiling their impact on the gene regulatory system by Shikha Vashisht, Costantino Parisi, Cecilia L. Winata

“…Here, we developed a systematic computational pipeline for the identification and analysis of CHD-associated SNPs spanning both coding and noncoding regions of the genome. …”
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