Data-Driven Health Status Assessment of Fire Protection IoT Devices in Converter Stations by Yubiao Huang, Tao Sun, Yifeng Cheng, Jiaqing Zhang, Zhibing Yang, Tan Yang

“…For validity assessment, a transformer-based time series reconstruction method is used, and anomaly thresholds are determined using the peaks over threshold (POT) approach from extreme value theory. …”
Get full text

Development and validation of digital leadership skills scale by Nadire Cavus, Seyedali Aghamiri, Nuriye Sancar

“…Contribution & Value Added: In this study, we constructed a novel scale to determine the digital leadership skills of the leaders who will lead the digital transformation process in enterprises. Moreover, we introduced to the literature a different model that can evaluate the effects of digital leadership skills on organisational factors, DT, and financial performance of enterprises in the digitalization process in enterprises by proposing a model that includes the constructed scale. …”
Get full text

Green Synthesis of Silver Nanoparticles Using Doxycycline: Evaluation of Antimicrobial Potential and Organ-specific Toxicity by Yasmin Akhtar, Ayoub Rashid, Muhammad Atif, Sajjad Ullah, Kiran Shehzadi, Tabinda Ijaz, Muhammad Ikram Ullah, Muharib Alruwaili, Abualgasim Elgaili Abdalla, Khalid Abosalif, Bi Bi Zainab Mazhari, Hasan Ejaz

Get full text

TS2GNet: A temporal–spatial–spectral multidomain guided network for classifying hyperspectral tree species using multiseason satellite imagery by Kaijian Xu, Henghui Han, Shuzhou Wang, Ping Zhao, Jun Geng, Hailan Jiang, Anxin Ding

Get full text

A Research on the Relationship of Social Intelligence and Cultural Intelligence with Leadership Styles by Serap Yalçınyigit, Hakkı Aktaş

Get full text

Automatic Speech Recognition: A survey of deep learning techniques and approaches by Harsh Ahlawat, Naveen Aggarwal, Deepti Gupta

Get full text

Study of nifedipine solubility in physical mixtures and solid dispersions by N. J. Dahma, E. T. Zhilyakova, M. J. Dahma

“…Development of a technological method for increasing the solubility of nifedipine by developing physical mixtures and SD with the aim of creating a dosage form with improved properties.Materials and methods. …”
Get full text

Swincloud: a hybrid network for cloud detection in thermal infrared remote sensing images by Long Gao, Liyuan Li, Jianing Yu, Xiaoxuan Zhou, Lu Zou, Nan Fang, Xiaofeng Su, Fansheng Chen

“…On the Landsat-8 cloud detection dataset, our model outperforms state-of-the-art methods. When transferred to the SDGSAT-TIS cloud detection dataset, the mIOU of experiment results reaches 69.9%, demonstrating the strong transferability of SwinCloud across different sensors. …”
Get full text

A Chain Extending from the Periphery to Dersaadet: Criminal Journals in the Ottoman Empire after 1846 by Kübra Nugay

Get full text

Dynamic inverse piezo-effect problem for a long piezoceramic thermoelastic cylinder by M. A. Kalmova

“…The calculated relations obtained using the generalized method of finite integral transformations allow determining the stress-strain state and thermoelectric fields induced in a piezoceramic element under an arbitrary electrical external influence.Conclusion. …”
Get full text

Large-scale S-box design and analysis of SPS structure by Lan ZHANG, Liangsheng HE, Bin YU

“…A class of optimal linear transformation P over a finite field<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML"> <mrow> <msup> <mrow> <mrow><mo>(</mo> <mrow> <msubsup> <mi>F</mi> <mn>2</mn> <mi>m</mi> </msubsup> </mrow> <mo>)</mo></mrow></mrow> <mn>4</mn> </msup> </mrow></math></inline-formula> was constructed based on cyclic shift and XOR operation.Using the idea of inverse proof of input-output relation of linear transformation for reference, a proof method was put forward that transformed the objective problem of optimal linear transformation into several theorems of progressive relation, which not only solved the proof of that kind of optimal linear transformation, but also was suitable for the proof of any linear transformation.By means of small-scale S-box and optimal cyclic shift-XOR linear transformation P, a large-scale S-box model with 2-round SPS structure was established, and a series of lightweight large-scale S-boxes with good cryptographic properties were designed.Only three kind of basic operations such as look-up table, cyclic shift and XOR were used in the proposed design scheme, which improved the linearity and difference uniformity of large-scale S-boxes.Theoretical proof and case analysis show that, compared with the existing large-scale S-box construction methods, the proposed large-scale S-box design scheme has lower computational cost and better cryptographic properties such as difference and linearity, which is suitable for the design of nonlinear permutation coding of lightweight cryptographic algorithms.…”
Get full text

CVCPSG: Discovering Composite Visual Clues for Panoptic Scene Graph Generation by Nanhao Liang, Xiaoyuan Yang, Yingwei Xia, Yong Liu

Get full text

Rhetorical Unit “Silk Road” from the Perspectiveof Political Discourse Translation by Gayane Gasparyan, Mari Arzumanyan

Get full text

RMTSE: A Spatial-Channel Dual Attention Network for Driver Distraction Recognition by Junyi He, Chang Li, Yang Xie, Haotian Luo, Wei Zheng, Yiqun Wang

Get full text

Leveraging deep learning for robust EEG analysis in mental health monitoring by Zixiang Liu, Juan Zhao

“…Despite the potential of these approaches, they often fall short in capturing the intricate spatiotemporal relationships within EEG data, leading to lower classification accuracy and poor adaptability across various populations and mental health scenarios.MethodsTo overcome these limitations, we introduce the EEG Mind-Transformer, an innovative deep learning architecture composed of a Dynamic Temporal Graph Attention Mechanism (DT-GAM), a Hierarchical Graph Representation and Analysis (HGRA) module, and a Spatial-Temporal Fusion Module (STFM). …”
Get full text

TFA-Net: A Temporal Feature Aggregation Framework for Tropical Cyclone Intensity Estimation From Satellite Images by Zhitao Zhao, Zheng Zhang, Qiao Wang, Linli Cui, Ping Tang

“…While the potential of temporal information for improving TC intensity prediction is recognized, existing methods have not fully leveraged this aspect. To address this, we propose TFA-Net, a deep-learning temporal feature aggregation framework based on a dual-branch Transformer, for TC intensity estimation. …”
Get full text

Challenges of Healthcare Systems in Saudi Arabia to Delivering Vision 2030: An Empirical Study From Healthcare Workers Perspectives by Al-Anezi FM

“…Unlike previous research, which has primarily focused on policy and structural reforms, this study provides empirical insights from healthcare workers, offering a frontline perspective on the barriers to effective healthcare transformation.Methods: A cross-sectional survey was conducted among 383 healthcare professionals from public and private hospitals. …”
Get full text

Bureaucratized Scientific Knowledge Production in the Area of Social Work within the Context of Neoliberalism: Investigation of Master’s Theses Research by Canan Neşe Kınıkoğlu, Caner Özdemir

“…Focusing on the period between 2005 and 2020, when the field of social work expanded in universities in Turkey, this paper poses the questions related to what social work master’s theses’ numbers, subjects, methods, and cases are, as well as how they are changing. …”
Get full text

MDS-Net: An Image-Text Enhanced Multimodal Dual-Branch Siamese Network for Remote Sensing Change Detection by Tao Wang, Tiecheng Bai, Chao Xu, Erlei Zhang, Bin Liu, Xining Zhao, Hongming Zhang

“…Remote sensing change detection (RSCD), which aims to identify differences between bitemporal images, has made great progress through the application of deep learning methods. …”
Get full text

Novel application of deep learning to evaluate conversations from a mental health text support service by Daniel Cahn, Sarah Yeoh, Lakshya Soni, Ariele Noble, Mark A. Ungless, Emma Lawrance, Ovidiu Şerban

“…We compare traditional methods and basic meta-features with the latest developments in Transformer-based architectures and showcase the advantages of mental health research.…”
Get full text