Allosteric binding sites in Rab11 for potential drug candidates. by Ammu Prasanna Kumar, Suryani Lukman

“…These proteins physiologically function as key regulators of intracellular membrane trafficking processes. Pathologically, Rab11 proteins are implicated in many diseases including cancers, neurodegenerative diseases and type 2 diabetes. …”
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MRAS: Master Regulator Analysis of Alternative Splicing by Lei Zhou, Yue Huang, Yang Zhao, Dan Guo, Xiao Wen, Ruihong Xu, Xuan Lv, Song Wu, Sicheng Jing, Zhaoqi Liu

“…Here, MRAS (Master Regulator analysis of Alternative Splicing) is introduced, a computational method designed to pinpoint the pivotal splicing factors that play a central role in shaping splicing regulatory networks and influencing cellular processes. …”
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Comparing Fast Fourier Transform and Prony Method for Analysing Frequency Oscillation in Real Power System Interconnection by Didik Fauzi Dakhlan, Joko Muslim, Indra Kurniawan, Kevin Marojahan Banjar-Nahor, Bambang Anggoro Soedjarno, Nanang Hariyanto

“…To assess power system oscillations and demonstrate the actual application in a real grid system, this research compares two popular signal processing methods: Prony’s approach and the Fast Fourier Transform from Phasor Measurement Unit data in the Java Bali (Indonesia) power system interconnection. …”
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Insights into microphysical and optical properties of typical mineral dust within urban snowpack via wet and dry deposition in Changchun, northeastern China by T. Shi, T. Shi, T. Shi, J. Wang, J. Wang, D. Zhang, J. Cui, Z. Wang, Y. Zhou, W. Pu, Y. Bai, Y. Bai, Z. Han, Z. Han, M. Liu, Y. Liu, H. Xie, M. Yang, Y. Li, M. Gao, X. Wang, X. Wang

“…These results emphasize the importance of dust composition and size distribution characteristics in constraining snowpack light absorption and radiation processes.</p>…”
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Breaking Away From AI: The Ontological and Ethical Evolution of Machine Learning by Enrico Barbierato, Alice Gatti, Alessandro Incremona, Andrea Pozzi, Daniele Toti

“…Unlike AI&#x2019;s pursuit of general intelligence and symbolic reasoning, ML focuses on data-driven performance optimization, with impactful applications in computer vision, natural language processing (NLP), and autonomous systems. …”
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Isolation of kinetically-stabilised diarylchalcogenide radical cations by Pascal Komorr, Corina Stoian, Aleksa Radović, Björn A. Meyer, Pim Puylaert, George E. Cutsail III, Emanuel Hupf, Jens Beckmann

“…Sulfide radical cations in particular are associated in vivo with oxidative stress and neuropathological processes. Having succeeded in the preparation of meta-terphenyl-based dichalcogenide radical cations [R2E2]•+ (E = S, Se, Te), and a telluride analogue [R2Te]•+ in the past, we aimed to complete the series regarding sulfur and selenium. …”
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Corrosion-Mechanical Fatigue: the Problems of Forecasting. Part 4. Assessment of Corrosion-Mechanical Fatigue Curve Parameters as Well as Durability of Materials by Alexander V. Bogdanovich, Sergey S. Sherbakov

“…Corrosion is one of the main electrochemical processes that damage metal materials. The combination of cyclic stresses and a corrosive environment causes wear-fatigue damage, called corrosion-mechanical fatigue. …”
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Federated learning with differential privacy for breast cancer diagnosis enabling secure data sharing and model integrity by Shubhi Shukla, Suraksha Rajkumar, Aditi Sinha, Mohamed Esha, Konguvel Elango, Vidhya Sampath

“…Abstract In the digital age, privacy preservation is of paramount importance while processing health-related sensitive information. This paper explores the integration of Federated Learning (FL) and Differential Privacy (DP) for breast cancer detection, leveraging FL’s decentralized architecture to enable collaborative model training across healthcare organizations without exposing raw patient data. …”
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Strategies for the Viral Exploitation of Nuclear Pore Transport Pathways by Xin Zhang, Keesiang Lim, Yujia Qiu, Masaharu Hazawa, Richard W. Wong

“…Emerging high-resolution techniques, such as advanced imaging and computational modeling, are transforming our understanding of the dynamic interactions between viruses and the NPC. …”
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Mass spectrometry-based metabolomic as a powerful tool to unravel the component and mechanism in TCM by Guang-Qin Liao, Hong-Mei Tang, Yuan-Di Yu, Li-Zhi Fu, Shuang-Jiao Li, Mai-Xun Zhu

“…However, challenges remain, including the need for improved data processing standardization, database expansion, and understanding of metabolite-gene-protein interactions. …”
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A unipolar-driven synaptic transistor for environment-adaptable vision system by Sukwon Jang, Keunho Soh, Chungryeol Lee, Taehyun Nam, Minjae Jang, Jeong-ik Park, Changhyeon Lee, Junhwan Choi, Jung Ho Yoon, Sung Gap Im

“…This work presents the first implementation of a self-adaptive artificial vision system based on a unipolar-driven synaptic device, utilizing a 3 × 3 UDST array to achieve real-time object tracking and adaptive sensory processing without external control or computational peripheral circuits.…”
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Integrating AI and statistical methods for enhancing civil structural practices: current trends, practical issues, and future direction by Asraar Anjum, Meftah Hrairi, Abdul Aabid Shaikh, Noorfazrina Yatim, Maisarah Ali

“…The investigation also highlights the need for substantial computational resources, data privacy, security, and software interoperability. …”
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Faster Dynamic Graph CNN: Faster Deep Learning on 3D Point Cloud Data by Jinseok Hong, Keeyoung Kim, Hongchul Lee

“…Geometric data are commonly expressed using point clouds, with most 3D data collection devices outputting data in this form. Research on processing point cloud data for deep learning is ongoing. …”
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Self-organized formation of domain arrays in TGS crystal by moving SPM tip by Anton P. Turygin, Vera A. Shikhova, Mikhail S. Kosobokov, Andrey R. Akhmatkhanov, Olga N. Sergeeva, Vladimir Ya. Shur

“…The obtained results demonstrate the essential role of screening processes and pave the way for further improvement of domain engineering methods.…”
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Integration of YOLOv8 Small and MobileNet V3 Large for Efficient Bird Detection and Classification on Mobile Devices by Axel Frederick Félix-Jiménez, Vania Stephany Sánchez-Lee, Héctor Alejandro Acuña-Cid, Isaul Ibarra-Belmonte, Efraín Arredondo-Morales, Eduardo Ahumada-Tello

“…The integration of deep learning models offers a promising alternative to automate and enhance species recognition processes. Methods: This study explores the use of deep learning for bird species identification in the city of Zacatecas. …”
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Enhanced Orthogonal Matching Pursuit Algorithm and Its Application in Mechanical Equipment Fault Diagnosis by Yong Lv, Jie Luo, Cancan Yi

“…The effective signal processing method for early weak fault has attracted much attention and it is of vital importance in mechanical fault monitoring and diagnosis. …”
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External auditory canal obstruction due to osteoma in a Syrian male patient: long-standing neglect and delayed diagnosis in a rural setting—a case report by Bilal Hasan, Zulfiqar Hamdan, Lina Mohamad, Nagham Salem

“…Axial and three-dimensional computed tomography scans identified a bony bridge connecting the mastoid and zygomatic processes, obstructing the canal. …”
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Optimizing Bearing Fault Diagnosis in Rotating Electrical Machines Using Deep Learning and Frequency Domain Features by Eduardo Quiles-Cucarella, Alejandro García-Bádenas, Ignacio Agustí-Mercader, Guillermo Escrivá-Escrivá

“…This research underscores the critical role of advanced signal processing and machine learning in predictive maintenance. …”
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Enhancing Fault Detection and Localization in MT-MVDC Networks Using Advanced Singular Spectrum Analysis by Hossam Sabra, Amr Kassem, Ahmed A. A. Ali, Karam M. Abdel-Latif, Ahmed F. Zobaa

“…MATLAB is employed for signal processing, and the approach is tested under various fault scenarios, including high fault impedance and extreme external faults. …”
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Current Sheet Broadening due to Turbulence in Three-dimensional Collisionless Reconnection by Keizo Fujimoto

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