Talent Management Pattern Finding with a Succession Approach Using the Met-asynthesis Method by Ali tavakoli, maryam majidi, Alireza Afsharnejad, gholamreza amjadi

“…Given that employees are not satisfied with attracting talents, identifying and discovering talents, providing special support for talents, and retaining talents; it is necessary to increase the attractiveness of the service, support managers for talented people, and provide rewards to efficient employees; and special attention should be paid to assigning jobs to the competence and expertise of individuals.Considering the dimensions and components identified in this study, suggestions have been made in the field of improving and developing talent management in Sepah Bank:Talent identification is a key step in talent management and succession planning that helps banks identify and develop their best human resources. …”
Get full text

A Long-Tail Fault Diagnosis Method Based on a Coupled Time–Frequency Attention Transformer by Li Zhang, Ying Zhang, Hao Luo, Tongli Ren, Hongsheng Li

“…To address long-tail defect identification, we propose a coupled time–frequency attention model that accounts for the long-tail distribution and pervasive noise present in production environments. …”
Get full text

Layered Production Allocation Method for Dual-Gas Co-Production Wells by Guangai Wu, Zhun Li, Yanfeng Cao, Jifei Yu, Guoqing Han, Zhisheng Xing

“…To address the challenges of production allocation and main reservoir identification in the co-development of CBM and tight gas within deep gas-bearing basins, this study employs the transient multiphase flow simulation software OLGA to construct a representative dual-gas co-production well model. …”
Get full text

Un Nuevo Método de Identificación Basado en la Respuesta Escalón en Lazo Abierto de Sistemas Sobre-amortiguados by Luis A. Mora, Jhon E. Amaya

“…To evaluate the performance of the proposed method, 3 minimum phase and 1 non mimium phase transfer functions are used to compare the proposed method with other of identification methods found in the literature, as well as also, one model of a non-isothermal chemical reactor; establishing as efficiency index the root mean square error (RMSE) of the transient response and the frequency resposne of the identified models with respect to the original transfer functions with different signal to noise ratio (SNR) values. …”
Get full text

Funding liquidity on bank lending growth: The case of India by Erum Shaikh, Muhammad Nawaz Tunio, Vishal Dagar

“…This strategy is typically utilized in situations in which the distribution of the data is uncertain and there is a concern with over identification. GMM offers a consistent, asymptotically normal, and efficient estimator in comparison to all of the other estimators that merely use the information presented by the moment conditions. …”
Get full text

Strengthening Non-health Community-based Health Misinformation Management Structures: Learnings from a Capacity Building Fellowship in Niger State, Nigeria by Mr Abara Erim, Mr Sunday Oko, Ms Sonia Biose, Dr Kemisola Agbaoye, Ms Anwuli Nwankwo, Mrs Vivianne Ihekweazu

“…Future research should focus on quantifying the long-term impacts of such interventions on vaccine uptake and public health outcomes, as well as exploring the scalability of this model to other regions and health challenges.…”
Get full text

Cultural Humility: A Collaborative Approach to Recruiting Patients with Deliberate Self-Harm into a Multi-Hospital Randomized Controlled Trial by Suzanne H. Brownhill, Garry J. Stevens, Trent E. Hammond, Richard Baldacchino, Rose Maposa, Bonyface Makoni, Aviva Sheb'a, Jagadeesh Andepalli, Anita Kotak, Olav D'Souza, Azadeh Atashnama, Anish Thayil, Alison Jones

“…The findings of this multidisciplinary consultation informed a composite model of knowledge exchange and the development of educational briefing/ orientation modules that make explicit team members’ roles and responsibilities to foster group member participation and enhance patient recruitment. …”
Get full text

A Pilot Study on Single-Cell Raman Spectroscopy Combined with Machine Learning for Phenotypic Characterization of <i>Staphylococcus aureus</i> by Li Liu, Junjing Xue, Yang Song, Taijie Zhan, Yang Liu, Xiaohui Song, Li Mei, Duochun Wang, Yu Vincent Fu, Qiang Wei

“…Rapid and accurate identification of pathogenic bacteria phenotypic traits, including virulence, drug resistance, and metabolic activity, is essential for clinical diagnosis and infectious disease control. …”
Get full text

Selection and validation of reference genes for qRT-PCR in cultivated octoploid strawberry by Jianxin Mao, Jiqi Li, Yan Wang, Zhihong Zhang

“…The identification of stable reference genes is crucial for successful gene expression studies. …”
Get full text

A method for intelligent information extraction of coal fractures based on µCT and deep learning by Zhazha HU, Xun ZHANG, Yi JIN, Linxian GONG, Wenhui HUANG, Jianji REN, Norbert Klitzsch

“…Specifically, the TransUNet model yielded an accuracy of 91.3%, precision of 89.5%, F1 score of 89.8%, and Intersection over Union (IoU) of 84.0%, significantly outperforming other intelligent models like U-Net and U-Net++. …”
Get full text

A Hybrid RBF-PSO Framework for Real-Time Temperature Field Prediction and Hydration Heat Parameter Inversion in Mass Concrete Structures by Shi Zheng, Lifen Lin, Wufeng Mao, Yanhong Wang, Jinsong Liu, Yili Yuan

“…By integrating a Radial Basis Function (RBF) surrogate model with Particle Swarm Optimization (PSO), the method reduces reliance on costly finite element simulations while maintaining global search capabilities. …”
Get full text

Postoperative outcomes in earthquake victims with orthopedic trauma: a focus on mortality and dialysis needs by Erdi Huseyin Erdem, Bahar Aydinli, Serkan Dogru, Harun Ozmen, Mevlut Atilla, Inci Yildirim

“…The backward stepwise approach for regression model was employed to minimize suppressor effects—where a predictor’s significance is contingent on the presence of another variable—and to reduce the risk of type II errors, thereby ensuring the identification of significant predictors. …”
Get full text

A Low-Profile Patch-Loaded Ring Antenna With Wide Frequency Tuning Capability for Dual-Band Metal-Mountable Tag Design by Muthukannan Murugesh, Sharul Kamal Abdul Rahim, Eng Hock Lim, Pei Song Chee

“…A detailed analysis was conducted to understand the resonance characteristics, and a Transmission Line (TL) model was constructed to facilitate the design of the tag antenna. …”
Get full text

Novel Fusion Technique for High-Performance Automated Crop Edge Detection in Smart Agriculture by F. Martinez, James B. Romaine, P. Johnson, A. Cardona Ruiz, Pablo Millan Gata

“…This combination enables lettuce area identification using bounding box labels instead of contour labels during training, improving efficiency compared to other methods like YOLOv8 and Detectron2. …”
Get full text

Performance Evaluation of YOLOv11 and YOLOv12 Deep Learning Architectures for Automated Detection and Classification of Immature Macauba (<i>Acrocomia aculeata</i>) Fruits by David Ribeiro, Dennis Tavares, Eduardo Tiradentes, Fabio Santos, Demostenes Rodriguez

“…Inference throughput averaged 3.9 ms per image for YOLOv11x and 6.7 ms for YOLOv12x, highlighting a trade-off between speed and architectural complexity. Fused model representations revealed optimized layer fusion and reduced computational overhead (GFLOPs), facilitating efficient deployment. …”
Get full text

A Machine-Learning-Based and IoT-Enabled Robot Swarm System for Pipeline Crack Detection by Ayman Kandil, Mounib Khanafer, Ali Darwiche, Reem Kassem, Fatima Matook, Ahmad Younis, Habib Badran, Maryam Bin-Jassem, Ossama Ahmed, Ali Behiry, Mohammed El-Abd

“…Through extensive training and testing, the CNN model performance showed promising scores for accuracy (between 80% and 90%), recall (at least 95%), precision (at least 95%), and F1 (at least 96%). …”
Get full text

Identifying the DNA methylation preference of transcription factors using ProtBERT and SVM. by Yanchao Li, Quan Zou, Qi Dai, Antony Stalin, Ximei Luo

“…First, we employed a fine-tuned ProtBERT model to differentiate between the classes of TFs and non-TFs. …”
Get full text

Structural Classification Methodology and Assignment of General Shop Costs for the Industrial Company’s Production Cost by I. E. Mizikovskii

“…The author considered in detail the existing approaches to the identification of indirect production costs and the model of their inclusion in the cost price. …”
Get full text

A Load Estimation Method Based on Surface Crack Distribution Images of Reinforced Concrete Beams by Hongli Ding, Chun Zhang, Yinjie Zhao, Jian Yu

“…Then, this study develops a novel correlation index model by analyzing the relationships between crack distribution images and strain distribution images from the FEM, enabling accurate identification of the load level that best matches the actual crack distribution. …”
Get full text

AMD-FV: Adaptive margin loss and dual path network+ for deep face verification. by Zeeshan Ahmed Khan, Waqar Ahmed, Panos Liatsis

“…The results show that AMD-FV outperforms state-of-the-art methods, achieving a verification accuracy of 99.75% on LFW, improving the True Acceptance Rate by 6% on IJB-B at a False Acceptance Rate of 0.001, compared to VGGFace2, and attaining a Rank-1 identification score of 92.16% on Megaface, surpassing the CosFace model by 9.44%.…”
Get full text