Transformation of Financial Services Industry in Conditions of Digitalization of Economy by Iryna Kozhushko

“…In addition, the countries of the first cluster have a significantly higher variation of the components of the integral indicator of digitalization of the economy. …”
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TRAPT: a multi-stage fused deep learning framework for predicting transcriptional regulators based on large-scale epigenomic data by Guorui Zhang, Chao Song, Mingxue Yin, Liyuan Liu, Yuexin Zhang, Ye Li, Jianing Zhang, Maozu Guo, Chunquan Li

“…Moreover, we successfully identify key TRs associated with diseases, genetic variations, cell-fate decisions, and tissues. Our method provides an innovative perspective on identifying TRs by using epigenomic data.…”
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Flood analysis comparison with probability density functions and a stochastic weather generator by Israel García-Ledesma, Jaime Madrigal, Jesús Pardo-Loaiza, Joel Hernández-Bedolla, Constantino Domínguez-Sánchez, Sonia Tatiana Sánchez-Quispe

“…This study compares two methodologies for predicting flood events in Morelia, Mexico: theoretical distribution functions and stochastic weather generators. The methodology integrates maximum runoff results for different return periods into a drainage network hydraulic model, using the Soil Conservation Service Curve Number (SCS-CN) method and a multivariate stochastic model (MASVC). …”
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Aging-Invariant Sheep Face Recognition Through Feature Decoupling by Suhui Liu, Chuanzhong Xuan, Zhaohui Tang, Guangpu Wang, Xinyu Gao, Zhipan Wang

“…This study introduces a lifelong biometric learning (LBL) mechanism to mitigate recognition accuracy degradation caused by dynamic facial feature variations in growing sheep. By designing a feature decoupling network integrated with adversarial age-invariant learning, the proposed method addresses the performance limitations of existing models in long-term individual identification.…”
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Application of Fuzzy Logic Sliding Mode Control Approach With PID Structure for Electro-Hydraulic Actuator Tracking System by Muhamad Fadli Ghani, Ahmad Athif Mohd Faudzi, Rozaimi Ghazali, Shahrol Mohamaddan

“…Moreover, the sliding mode control (SMC) approach has been discovered as a potential method for the EHA trajectory tracking control system. …”
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Adaptive Robust Control for Pump-Controlled Pitch Systems Facing Wind Speed and System Parameter Variability by Tiangui Zhang, Bo Yu, Xuewei Wang, Yinping Liu, Gexin Chen, Keyi Liu, Chao Ai, Lihui Wang

“…Then, an ARC strategy is designed using the backstepping method and incorporating parameter adaptation to handle system nonlinearities and uncertainties. …”
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Spatiotemporal Mapping and Driving Mechanism of Crop Planting Patterns on the Jianghan Plain Based on Multisource Remote Sensing Fusion and Sample Migration by Pengnan Xiao, Yong Zhou, Jianping Qian, Yujie Liu, Xigui Li

“…This research presents a scalable method for mapping fine-resolution crop patterns in complex agroecosystems, providing quantitative support for regional land-use optimization and the development of agricultural policies.…”
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Detection and isolation of viable cancer cells mediated by spytag and spycatcher using conditionally replicative adenovirus and magnetic microbeads by Sadegh Goli, Maryam Kadkhodazadeh, Mahshid Kharaziha, Shaghayegh Haghjooy Javanmard, Kayhan Azadmanesh

“…To overcome this, we developed a crAD-based platform integrating SpyTag/SpyCatcher technology with SpyCatcher-decorated magnetic microbeads for marker-independent CTC detection and isolation. …”
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Investigation of Improved Labyrinth Seal Stability Accounting for Radial Deformation by Guozhe Ren, Hongyuan Tang, Dan Sun, Wenfeng Xu, Yu Li

“…A numerical analytical model incorporating the rotor and stator cavities, along with the labyrinth seal disc structure, has been established. The sealing integrity of a standard labyrinth seal disc’s flow channel is evaluated and studied at different clearances utilising the fluid–solid-thermal coupling method. …”
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LLD-YOLO: A Low-Light Object Detection Algorithm Based on Dynamic Weighted Fusion of Shallow and Deep Features by Wenhao Cai, Yajun Chen, Xiaoyang Qiu, Meiqi Niu, Jianying Li

“…To improve the diversity of receptive fields and strengthen the network’s multi-scale feature capture capability, we incorporate the DBB-C2f module. Furthermore, we integrate the hard-sample focusing property of Focaler IoU with the geometric perception advantages of MPDIoU, proposing Focal MPDIoU Loss to refine the localization of difficult samples and precisely capture bounding box variations. …”
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Significance of serum protein electrophoresis in diagnosing multiple myeloma: A retrospective study at a tertiary care centre by Shrinidhi Sundar, Swetha Raghavendra Prasad, Dhivya Senthil Kumar, Sathya Selvarajan, Sowmya Krishnamurthy, Sridharan Kopula Sathyamurthy

“…The study investigates the clinical significance of inconsistencies in albumin measurement methods in multiple myeloma patients, focusing on serum protein electrophoresis (SPEP) and the bromocresol green (BCG) assay. …”
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On the Salt Bath Cleaning Operations for Removal of Lubricants on the Surface of Titanium Alloy Aerospace Fasteners by Richard Turner, Caitlin Edgerton, Jack Hobby, Jakub Mierzejewski, Taahir Patel, Nils Warnken

“…Furthermore, the salt bath process has been studied to understand the efficacy of the cleaning process and the impact that variation in the salt bath hold time has or that adding some method of agitation to the molten salt in the bath as it cleans the surface lubricant off the Ti-6Al-4V fastener has. …”
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Breast Cancer MRI Classification Based on Fractional Entropy Image Enhancement and Deep Feature Extraction by Ali M. Hasan, Asaad F. Qasim, Hamid A. Jalab, Rabha W. Ibrahim

“…The breast MRI scans are preprocessed prior to the feature extraction step to enhance and preserve the fine details of the breast MRI scans boundaries by using fractional integral entropy FIE algorithm, to reduce the effects of the intensity variations between MRI slices, and finally to separate the right and left breast regions by exploiting the symmetry information. …”
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Experimental Study on the Influence of Crack Penetration Rate on Strength Properties of Expansive Soil by HU Bo, WANG Shuai, SUN Hui, GENG Hong-bin, WANG Qing, ZHOU Hong-jun

“…It seeks to establish a predictive model for shear strength based on penetration rate, providing a scientific basis for evaluating the stability of engineering slopes. [Methods] A novel method was employed to simulate cracks using geomembranes. …”
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Performance Enhancement of Methane Detection Using a Novel Self-Adaptive Mid-Infrared Absorption Spectroscopy Technique by Fang Song, Chuantao Zheng, Wanhong Yan, Wei Lin Ye, Yu Zhang, Yiding Wang, Frank K. Tittel

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Quantum-Inspired Hyperheuristic Framework for Solving Dynamic Multi-Objective Combinatorial Problems in Disaster Logistics by Kassem Danach, Hassan Harb, Louai Saker, Ali Raad

“…The proposed framework integrates Quantum-Inspired Evolutionary Algorithms (QIEAs), which facilitate diverse and explorative solution generation, with a Reinforcement Learning (RL)-based hyperheuristic capable of dynamically selecting the most suitable low-level heuristic in response to evolving disaster conditions. …”
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Simulation study of heat transfer behaviour of turbulent two-phase flow in a 3D cubic shell and tube heat exchanger using water and different nanofluids by Ali Khaleel Kareem, Athraa Hameed Alabbasi, Ali M. Mohsen

“…The application of the RANS method effectively elucidates turbulence patterns and their impact on heat transfer dynamics between the shell and tube. …”
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Electric Vehicle Traction System Performance Enhancement Using a High-Gain Adaptive Controller by Sarah Adnan Albarri, Ahmed Khalil, Shayok Mukhopadhyay, Habibur Rehman

“…However, under external disturbances and parameters variation, the speed regulator performance may degrade. …”
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Spatiotemporal variability of terrestrial water storage over the Tibetan Plateau from the joint inversion of GNSS and GRACE observations by Meilin He, Tao Chen, Yuanjin Pan, Jiashuang Jiao, Qiwen Wu, Yifei Lv, Weiping Jiang

“…Abstract The Tibetan Plateau (TP), characterized by its unique regional features and geographical landscape, is a critical area for studying changes in terrestrial water storage (TWS), which are significantly influenced by global warming. In this study, we integrate data from the Global Navigation Satellite System (GNSS) and the Gravity Recovery and Climate Experiment (GRACE) to jointly estimate TWS variations in the TP and examine their spatiotemporal fluctuations in relation to large-scale climate patterns. …”
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A Field-to-Parameter Pipeline for Analyzing and Simulating Root System Architecture of Woody Perennials: Application to Grapevine Rootstocks by Lukas Fichtl, Daniel Leitner, Andrea Schnepf, Dominik Schmidt, Katrin Kahlen, Matthias Friedel

“…We validated the precision of the digitization method, compared in situ and ex situ digitization, and assessed root loss during excavation. …”
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