Deep learning-based CT-free attenuation correction for cardiac SPECT: a new approach by Pei Yang, Zeao Zhang, Jianan Wei, Lisha Jiang, Liqian Yu, Huawei Cai, Lin Li, Quan Guo, Zhen Zhao

“…Abstract Background Computed tomography attenuation correction (CTAC) is commonly used in cardiac SPECT imaging to reduce soft-tissue attenuation artifacts. …”
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ViTAU: Facial paralysis recognition and analysis based on vision transformer and facial action units by Jia GAO, Wenhao CAI, Junli ZHAO, Fuqing DUAN

“…With the rapid advancement of deep learning and computer vision technologies, automatic recognition of facial paralysis has become feasible, offering a more accurate and objective diagnostic approach. …”
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Expedited Colorectal Cancer Detection Through a Dexterous Hybrid CADx System With Enhanced Image Processing and Augmented Polyp Visualization by Akella Subrahmanya Narasimha Raju, K. Venkatesh, Ranjith Kumar Gatla, Marwa M. Eid, Aymen Flah, Zdenek Slanina, Ramy N. R. Ghaly

“…While the ensemble model presents highly improved performance, this computationally and dataset-specific performance requirement suggests further optimization and validation for larger clinical applicability.…”
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DepITCM: an audio-visual method for detecting depression by Lishan Zhang, Lishan Zhang, Zhenhua Liu, Yumei Wan, Yunli Fan, Diancai Chen, Qingxiang Wang, Kaihong Zhang, Yunshao Zheng

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Anticancer Peptides Classification Using Long-Short-Term Memory With Novel Feature Representation by Nazer Al Tahifah, Muhammad Sohail Ibrahim, Erum Rehman, Naveed Ahmed, Abdul Wahab, Shujaat Khan

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Artificial intelligence-enabled non-invasive ubiquitous anemia screening: The HEMO-AI pilot study on pediatric population by Daniel Gordon, Jason Hoffman, Keren Gamrasni, Yotam Barlev, Alex Levine, Tamar Landau, Ronen Shpiegel, Avishai Lahad, Ariel Koren, Carina Levin, Osnat Naor, Hannah Lee, Xin Liu, Shwetak Patel, Gilad Chayen, Michael Brandwein

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Peering into the Black Box: Forward Modeling of the Uncertainty Budget of High-resolution Spectroscopy of Exoplanet Atmospheres by Arjun B. Savel, Megan Bedell, Eliza M.-R. Kempton, Peter C. B. Smith, Jacob L. Bean, Lily L. Zhao, Kaze W. K. Wong, Jorge A. Sanchez, Michael R. Line

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Radiogenomics and machine learning predict oncogenic signaling pathways in glioblastoma by Abdul Basit Ahanger, Syed Wajid Aalam, Tariq Ahmad Masoodi, Asma Shah, Meraj Alam Khan, Ajaz A. Bhat, Assif Assad, Muzafar Ahmad Macha, Muzafar Rasool Bhat

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The protein structurome of Orthornavirae and its dark matter by Pascal Mutz, Antonio Pedro Camargo, Harutyun Sahakyan, Uri Neri, Anamarija Butkovic, Yuri I. Wolf, Mart Krupovic, Valerian V. Dolja, Eugene V. Koonin

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Tools to refine unknown parent group definitions by A. Legarra, I. Aguilar

“…Finally, a simplified model estimates the precision of contrasts of UPG. Computations are feasible even for very large datasets. …”
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Cognitive Behavior Therapies (CBT) in Childhood and Adolescent Mood Disorders and Anxiety Disorders: A Review by Nilgün Öngider

“…Currently, there are different treatment options like computer-assisted cognitive behavioral therapy, computer-based cognitive behavioral therapy and also, internet-based CBT. …”
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Harnessing the Power of Long-Range Entanglement for Clifford Circuit Synthesis by Willers Yang, Patrick Rall

“…We consider models of entanglement-assisted computation where long-range operations are achieved through injections of large Greenberger–Horne–Zeilinger (GHZ) states. …”
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Undesirable Postoperative Anesthesia Outcomes at Two National Referral Hospitals: A Cross-Sectional Study in Eritrea by Yonatan Mehari Andemeskel, Traudl Elsholz, Ghidey Gebreyohannes, Eyasu H. Tesfamariam

“…The prevalence were computed in two manners, prevalence of those with ‘at least a little bit’ outcomes, which was computed to see the total occurrence of these outcomes, and prevalence of those having ‘more than moderate’ outcomes to see the severe experience of these outcomes. …”
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A structural genomics approach to investigate Dystrophin mutations and their impact on the molecular pathways of Duchenne muscular dystrophy by Abdelbaset Mohamed Elasbali, Farah Anjum, Osama A. AlKhamees, Waleed Abu Al-Soud, Mohd Adnan, Anas Shamsi, Md. Imtaiyaz Hassan

“…Mutations, particularly single-point amino acid substitutions, can lead to dysfunctional Dystrophin, causing muscular dystrophies, with Duchenne muscular dystrophy (DMD) being the most severe form.ObjectiveThis study aimed to evaluate the effects of 184 single-point amino acid substitutions on the structure and function of Dystrophin using computational approaches.MethodsMany computational tools were used to predict the impact of amino acid substitutions on protein stability, solubility, and function. …”
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Instance maps as an organising concept for complex experimental workflows as demonstrated for (nano)material safety research by Benjamin Punz, Maja Brajnik, Joh Dokler, Jaleesia D. Amos, Litty Johnson, Katie Reilly, Anastasios G. Papadiamantis, Amaia Green Etxabe, Lee Walker, Diego S. T. Martinez, Steffi Friedrichs, Klaus M. Weltring, Nazende Günday-Türeli, Claus Svendsen, Christine Ogilvie Hendren, Mark R. Wiesner, Martin Himly, Iseult Lynch, Thomas E. Exner

“…Nanosafety assessment, which seeks to evaluate the risks from exposure to nanoscale materials, spans materials synthesis and characterisation, exposure science, toxicology, and computational approaches, resulting in complex experimental workflows and diverse data types. …”
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A low functional redundancy-based network slimming method for accelerating deep neural networks by Zheng Fang, Bo Yin

“…Deep neural networks (DNNs) have been widely criticized for their large parameters and computation demands, hindering deployment to edge and embedded devices. …”
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CGDINet: A Deep Learning-Based Salient Object Detection Algorithm by Chengyu Hu, Jianxin Guo, Hanfei Xie, Qing Zhu, Baoxi Yuan, Yujie Gao, Xiangyang Ma, Jialu Chen, Juan Tian

“…Salient object detection (SOD) is a key preprocessing step in computer vision, widely used in object tracking, action recognition, and image retrieval, among other fields. …”
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Analysis of Human Gait Cycle With Body Equilibrium Based on Leg Orientation by Muhammad Asif, Muhammad A. Tayyab, Muhammad H. Shahid, Usama Arif, Mohsin I. Tiwana, Umar S. Khan, Waqar S. Qureshi

“…In this research, spatio-temporal parameters were computed using the concepts of static and dynamic equilibrium to analyze the gait cycle. …”
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Bibliometric analysis of ICT research in South Africa by Vusumuzi Malele, Sello Prince Sekwatlakwatla

“…It gives students a thorough grasp of computer science, emphasizing modern software development techniques used in the IT sector. …”
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Boosting disassembly of π–π stacked supramolecular nanodrugs under tumor microenvironment by introducing stimuli‐responsive drug‐mates by Wenzhe Xu, Ruixu Yang, Yingke Xue, Yang Chen, Shuwei Liu, Songling Zhang, Yonggang Wang, Yi Liu, Hao Zhang

“…Both the experimental observation and computational simulation indicate that the disassembly of SNDs under simulated TME highly depends on the disassembly activation energy (ΔEdis) of neighboring π–π stacked molecules. …”
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