Evaluating simulated teaching audio for teacher trainees using RAG and local LLMs by Ke Fang, Ci Tang, Jing Wang

“…We then selected three leading 7B-parameter open-source Chinese LLMs from the ModelScope community to analyze their generalizability and adaptability in simulated teaching voice evaluation tasks. The results show that the internlm2 model more effectively analyzes teacher students’ teaching audio, providing key educational feedback. …”
Get full text

Optimized window functions for spectral analysis based on digital filters by R.V. Petrosian

“…However, these functions have certain limitations, and their use in many practical tasks does not always provide the required level of accuracy. …”
Get full text

About a Routing Problem of the Tool Motion on Sheet Cutting by A. A. Petunin, A. G. Chentsov, P. A. Chentsov

“…For the routing problem of tool permutations under the thermal cutting of parts from sheet material realized on CNC machines, questions connected with constructing precise (optimal) and heuristic algorithms used on the stage of mathematical simulation of route elements under sequential megalopolises circuit are investigated. …”
Get full text

Ethnic dance movement instruction guided by artificial intelligence and 3D convolutional neural networks by Ni Zhen, Park Jae Keun

“…This model performs well in movement recognition tasks, showing remarkable advantages in different dance types. …”
Get full text

Factors Affecting Student Compliance in Asynchronous Classes of the Grade 11 Students by Jeenadine Guavis, Adrienne Zaballero

“…This study aimed to ascertain the factors affecting Student Compliance, and the student’s commitment to submit tasks and outputs within the given time, as required in a course, in Asynchronous Classes of the Grade 11 Students of DLSZ-Vermosa. …”
Get full text

THE LEGAL BASIS OF THE CONCEPTS OF “BUDGET” AND “TREASURY” AND THEIR SIGNIFICANCE FOR PUBLIC FINANCIAL ACTIVITIES by SAVINA A.V.

“…Finances (financial resources) and state (municipal) property form the basis for the realization of tasks that ensure the satisfaction of public interests. …”
Get full text

Promoting Understanding of the Concept of the Refraction of Light Through the Use of Attentive Teaching by Yaron Schur, Ainat Guberman, Svetlana Ovsyannikov

“…Repeated drawing and explanation tasks provide teachers with an important formative assessment tool that enables them to see the conceptual change processes the students undergo and adapt their instruction accordingly. (3) Teachers can assess their students’ visual and verbal representations of their emotions while learning and relate to them, thus strengthening students’ self-confidence as well as student–teacher relationships.…”
Get full text

A Model-Driven Approach Employing DSL and Generation Templates to Accelerate the Development of Conversational Agents for Smart Tourism by Charaf Ouaddi, Lamya Benaddi, Adnane Souha, Hamza Abdelmalek, Abdeslam Jakimi, Rachid Saadane

“…Their key benefits include automating tasks, improving customer service, and ensuring service availability. …”
Get full text

AsymGroup: Asymmetric Grouping and Communication Optimization for 2D Tensor Parallelism in LLM Inference by Ki Tae Kim, Seok-Ju Im, Eui-Young Chung

“…Recent advances in Large Language Models (LLMs), such as GPT and LLaMA, have demonstrated remarkable capabilities across a wide array of natural language processing tasks. Despite these successes, efficient inference at scale remains challenging, particularly in heterogeneous computing environments characterized by variations in GPU counts, and computational capacities across nodes. …”
Get full text

APPLIED GAMES IN THE TENNIS TRAINING OF STUDENTS FROM SOFIA UNIVERSITY "ST. KLEMENT OHRIDSKI" by E. Yordanov

“…Achieving a good level of technical fitness in tennis requires the performance of a large volume of work, repeated execution of the various technical elements, and the constructive amount of physical exertion is quite high. …”
Get full text

Generalized Likelihood Ratio Test for Hyperspectral Subpixel Target Detection Based on Segmented Mixing Model by Yubo Ma, Jie Zhou, Siyu Cai, Qingke Zou

“…For hyperspectral subpixel target detection tasks, conventional mixing model (CMM) is one of the most intensively used models. …”
Get full text

Spiking Reservoir Computing Based on Stochastic Diffusive Memristors by Zelin Ma, Jun Ge, Shusheng Pan

“…In this work, it is experimentally demonstrated that a population of stochastic diffusive Ag:SiOx memristors can effectively construct a spiking reservoir computing system. This system demonstrates remarkable resilience to read noise and delivers exceptional performance across a range of computational tasks, achieving a 98% accuracy in waveform classification and a normalized root mean square error (NRMSE) of 0.154 in time‐series prediction. …”
Get full text

Teacher Efficacy Beliefs: A Multilevel Analysis of Teacher- and School-Level Predictors in Mexico by Fatima Salas-Rodriguez, Sonia Lara, Martín Martínez

“…All individuals hold beliefs about their ability to successfully perform specific tasks. These beliefs, known as self-efficacy, play a key role in guiding and motivating human behavior. …”
Get full text

The Earth System Grid Federation (ESGF) Virtual Aggregation (CMIP6 v20240125) by E. Cimadevilla, B. N. Lawrence, A. S. Cofiño

“…We describe how it is constructed, how it can be used, and its benefits for model evaluation data analysis tasks, and we provide some performance evaluation. …”
Get full text

Operational control of city engineering networks based on artificial intelligence systems by О. Стенін, В. Пасько, М. Солдатова, І. Дроздович

“…This article discusses an approach to constructing a situational type CEN IDSS based on a fuzzy situational network. …”
Get full text

DFC-Net: Dual-Branch Collaborative Feature Enhancement for Cloud Detection in Remote Sensing Images by Wanting Zhou, Yan Mo, Qiaofeng Ou, Shaowei Bai

“…Experimental results on the HRC_WHU and 95-Cloud datasets show that DFC-Net outperforms existing state-of-the-art methods in all performance metrics, and especially exhibits an excellent performance advantages in cloud boundary segmentation and thin cloud detection tasks.…”
Get full text

Aspect-Level Sentiment Analysis Based on Position Features Using Multilevel Interactive Bidirectional GRU and Attention Mechanism by Xiaodi Wang, Xiaoliang Chen, Mingwei Tang, Tian Yang, Zhen Wang

“…Secondly, the approach extracts the features of target terms and context by using a well-constructed multilevel interactive bidirectional neural network. …”
Get full text

Trajectory Prediction and Intention Recognition Based on CNN-GRU by Jinghao Du, Dongdong Lu, Fei Li, Ke Liu, Xiaolan Qiu

“…This study focuses on trajectory prediction and intention recognition for airborne moving targets by proposing an integrated approach that leverages trajectory data for both tasks. Separate models were developed for trajectory prediction and intention recognition, with the trajectory prediction outcomes subsequently applied to enhance the accuracy of intention recognition. …”
Get full text

A Capsule Decision Neural Network Based on Transfer Learning for EEG Signal Classification by Wei Zhang, Xianlun Tang, Xiaoyuan Dang, Mengzhou Wang

“…In a brain computer interface (BCI), it is important to deal with individual differences between topics and/or tasks. A kind of capsule decision neural network (CDNN) based on transfer learning is proposed. …”
Get full text

Envisioning the future of wildlife in a changing climate: Collaborative learning for adaptation planning by Olivia E. Ledee, William H. Karasov, Karl J. Martin, Michael W. Meyer, Christine A. Ribic, Timothy R. Van Deelen

“…Abstract Natural resource managers are tasked with assessing the impacts of climate change on conservation targets and developing adaptation strategies to meet agency goals. …”
Get full text