Gradient Amplification: An Efficient Way to Train Deep Neural Networks by Sunitha Basodi, Chunyan Ji, Haiping Zhang, Yi Pan

Get full text

Factors associated with utilization of mobile health clinic hepatitis C virus services among medically underserved communities in South Carolina by Kerry A. Howard, Fatih Gezer, Caitlin A. Moore, Brian Witrick, Abass Babatunde, Prerana Roth, Ashley Coleman, Kristie Boswell, Ronald W. Gimbel, Alain H. Litwin, Lior Rennert

“…Generalized linear mixed-effects models were used to examine the association between community-level predictors and number of individuals screened and community- and individual-level predictors and infection status and treatment initiation. …”
Get full text

PROVISION OF RELIABILITY OF HOMOGENEOUS REGISTER MEDIA WITH PROGRAMMED SLIDING REDUNDANCY STRUCTURE by S. A. Ibragimov, P. A. Kadiev

“…The aim of the work is to solve reliability problems associated with the improvement of neural linear homogeneous media by means of the sliding structural redundancy method. Method. In the course of the studythe most effective method of ensuring product reliability structural redundancy, while in the structure of the product, along with the ―basic‖ elements, additional elements are included, which substitute for the function in cases where others have failed. …”
Get full text

The Digital Life of Literature: Hybrid Formats of Text Representation and Role Strategies of a Reader’s Self-Presentation by N. L. Zykhovskaia, D. I. Klopotyuk

“…Based on Clifford Geertz’s method of cultural analysis (the “thick description” method) and the methodology of frame scenarios, the authors analyze the resources that actively participate in the creation of the Russian space of digital literary life and represent hybrid models of text functioning. …”
Get full text

Predicting tennis match outcomes mid-game using machine learning on psychological and physical data by Boyuan Li, Zihui Deng, Gaurav Gupta, Jinger Li, Yixuan Miao

“…The role of player performance is integral in-game analytics, impacting the interpretation and results of the analysis. Our work presents an AI for Science (AI4Sci) method to use real-time data from each game point to determine essential feature values, formulate and assess the impact of psychological momentum, and employ machine learning methodology on mid-match data for predicting the game’s victor. …”
Get full text

About the temperature of melting of metallic nanoparticles by S.A. Guchenko, V.M. Yurov, V.Ch. Laurynas, S.S. Kasymov

“…In this paper we review various models of the melting temperature of nanoparticles and propose a quantum-statistical analysis of the melting of nanoparticles. …”
Get full text

An Optimized Design of New XYθ Mobile Positioning Microrobotic Platform for Polishing Robot Application Using Artificial Neural Network and Teaching-Learning Based Optimization by Minh Phung Dang, Hieu Giang Le, Ngoc Le Chau, Thanh-Phong Dao

“…The leaf hinges were employed due to their large rotation, and the right circular hinges were adopted because of their high accuracy. In modeling the behaviors of the developed platform, the artificial neural network is formulated in combination with the teaching-learning-based optimization (TLBO) method. …”
Get full text

Optimal design of vertical slot fishways by using shallow water equations by Mostafa Kadiri, Mohammed Louaked, Houari Mechkour

“…In this paper, we present a mathematical formulation of an optimal design problem related to a vertical slot fishway. The work involves modeling, mathematical analysis and numerical approximation of a coupled problem between a primal hyperbolic system and adjoint problem of shallow water for the cost function of the optimal structure. …”
Get full text

Life strategies of modern young men (on the materials of a sociological research) by Nadezhda Afanasevna Frolova

“…Petersburgers, as well as men in Orel, actively choose two models of life strategies - models of activity-risk and consumer orientations. …”
Get full text

Technological game changers: convergence, hype, and evolving supply chain design by Stan Fawcett, Yao Henry Jin, Amydee Fawcett, Ednilson Bernardes

“…This skill set will be critical to designing and developing a supply chain able to support and propel visionary business models.…”
Get full text

To fear or not to fear – Human resource development professionals’ positioning towards artificial intelligence with a focus on augmentation by Josef Guggemos

“…Covariance based structural equation modeling (CB-SEM) and partial least squares structural equation modeling (PLS-SEM) act as the method for data analysis. …”
Get full text

Learning Management System Difficulties during the Learning Process in Higher Education by Rabiyatul Jasiyah, Emma Rumahlewang, Bertha Ireni Mundung, Syusantie Sylfia Sairdama, Nanda Saputra

“…The obstacles and difficulties lie in the preparation of materials, models, and assessment tools used which are not provided to students through the LMS. …”
Get full text

Scattering of Sculpted Light in Intact Brain Tissue, with implications for Optogenetics by Itia A. Favre-Bulle, Daryl Preece, Timo A. Nieminen, Lucy A. Heap, Ethan K. Scott, Halina Rubinsztein-Dunlop

“…Modelling is performed using the Monte Carlo method, supported by generalised Lorenz–Mie theory in the single-scattering approximation. …”
Get full text

Dual Attention Dual-Resolution Networks for Real-Time Semantic Segmentation of Street Scenes by Baofeng Ye, Renzheng Xue

Get full text

Determining the Axial Orientations of a Large Number of Flux Transfer Events Sequentially Observed by Cluster during a High-Latitude Magnetopause Crossing by Zhaoyu Li, Tao Chen, Lei Li

“…Despite years of research, the mechanism of how FTEs are formed through reconnection remains controversial. In various models, FTEs exhibit different global configurations. …”
Get full text

Empowering customer service with generative AI: enhancing agent performance while navigating challenges by Charles Costa, Souvick Ghosh

“… Introduction. As large language models (LLMs), such as GPTs, become more intelligent, a key area of exploration is how these technologies can improve the customer experience. …”
Get full text

Enhancing satellite image compositing with temporal proximity weighting for deep learning–based cropland segmentation by Reza Maleki, Falin Wu, Guoxin Qu, Amel Oubara, Gongliu Yang

“…The results consistently show that proposed method outperforms other techniques in preserving temporal continuity, reducing cloud–related noise, and maintaining the coherence necessary for deep learning models to effectively track crop growth patterns.…”
Get full text

Investigation on the characteristics of surface movement and deformation in mining under thick unconsolidated layer in Jining area, China by Leixiang Peng, Qian Jiang, Xiang Hua, Xiangsheng Yang, Huaizhan Li, Guangli Guo, Weihua Sun

“…On this basis, used the method of establishing numerical models, the influence laws of unconsolidated layer thickness, bedrock thickness, and working face mining width on the surface subsidence characteristics under thick unconsolidated layer were simulated and analyzed. …”
Get full text

Continuance intention to use telecommunication mobile applications in Indonesia based on mobile service quality theory by Batara Yehezkiel Situmorang, Takayuki Muhamad Rabbani, Venska Aurell Dominica, Putu Wuri Handayani, Hana Fitriani

“…The quantitative data were analyzed using partial least square structural equation modeling through SmartPLS 4 software, while the qualitative data were analyzed using the content analysis method. …”
Get full text

Nationalist character at Muhammadiyah school by Syifa Siti Aulia, Dikdik Baehaqi Arif, Idham Sofihara, Astika Pungki Utami, Laelaturrohmah Laelaturrohmah, Iqbal Arpannudin

“…The steps of data analysis using data reduction models, data presentation, conclusions. …”
Get full text