Reviewerly/exHarmony huggingface dataset:
The Use of English Translated Meranao Literature in Enhancing the English Language Proficiency among Grade 10 Learners

This study aimed to determine the English language proficiency of learners among Grade 10 learners in one of the schools in Lanao del Sur. A one-group pre-experimental research design was used to examine the effectiveness of an English-translated Meranao literature intervention on the English language proficiency of the learners relative to vocabulary, grammar, and reading comprehension. One group was considered using the said intervention, and the group consisted of 50 learners. The study neither considers the literary analysis of the texts nor examines the students' level of analysis of the selected literary pieces. The study's respondents were selected purposively from those under the researcher; hence, a purposive sampling design was used. Statistical tools used to analyze the data were frequency and percentages, mean, standard deviation, independent samples t-test, paired samples t-test, and one-way analysis of variance (ANOVA). The results indicated that the use of English-translated Meranao literature significantly improved the participants' English proficiency in terms of reading comprehension, vocabulary, and grammar. Moreover, the participants found the literature engaging and culturally enriching. The study disclosed that the use of English-translated Meranao literature can be an effective tool in enhancing the English proficiency of learners and promoting cultural exchange. Additionally, the assessment of the teachers’ performance in teaching English translated Meranao literature was outstanding. However, there was no significant relationship between the students' scores in the post-test and the teachers’ performance in teaching English-translated Meranao literature. The study posited the conclusion that the intervention significantly improved the English language proficiency of the students particularly vocabulary, grammar, and reading comprehension. It is therefore recommended to use the intervention in creating an engaging and effective learning environment.
Effect of Core Stability Exercises on Volleyball Players: A Systematic Review

Purpose: The purpose of current review was investigating the effect of core stability exercises (CSE) on volleyball players. Methods: Current research was a PRISMA systematic review. It reviewed comprehensively the Impact of CSE on volleyball players. It carried out searching in Google Scholar, PubMed, Science Direct, PEDro, EMBASE, Web of Science, and Scopus databases and in Persian Google Scholar, Megapaper databases, IRANDOC, Magiran, SID, Medilib, IranMedex. The keywords in two groups including: Group 1: “Core stability exercise” OR “core stability training” OR “core stability endurance” OR “trunk stability” OR “central stability exercises” OR “core intervention” OR “core stability control” OR “core strengthening exercise” OR “trunk resistance exercise” and group 2: “Volleyball” OR “volleyball player“ OR “volleyball athletes” from 2000 to February of 2023. Current research used both English and Persian languages. Results: We got 146 articles. After removing duplicate titles, we selected 127 abstracts for review. Finally, 18 articles were included in the present review. Conclusion: The outcomes of current review show that CSE have the ability to improve movement capabilities, performance, and sports skills as well as prevent injuries from volleyball players. Of course, to interpret the outcomes of the current research caution needs to be taken, considering the restrictions such as the difference in the sample size under study, measurement methods, and components of different core stability protocols.
An Analysis of Economic Determinants of Food Imports in Nigeria

The study examined the economic determinants of food import in Nigeria. It used secondary data which were drawn from various sources including Food and Agriculture Statistical Facts, Central Bank of Nigeria Statistical Bulletin, and World Hunger Index. The data spanned between 1981 and 2021. Descriptive and econometric (Autoregressive Distributed Lag) methods were employed for data analysis. Findings showed that in Nigeria, exchange rate and domestic food production significantly affected food imports. Production of domestic agricultural inputs should, therefore, be encouraged through appropriate technology development. An increase in quality domestic agricultural inputs will bring about a decrease in the importation of agricultural inputs, thus reducing the influence of the exchange rate on agricultural production. Intensification of agriculture, therefore, should be encouraged more at the three levels of government through adequate and sustained support to farmers especially in the rural areas. This will increase domestic food production and will discourage food import.
THE REALITY OF WOMEN'S ENTREPRENEURSHIP IN THE LIGHT OF ACCOMPANYING DEVICES - THE CASE OF ALGERIA - ALGERIA AS A MODEL –

Women play an important role in various fields as they are half of society, especially in the economic field. Their participation has developed effectively, e specially in the aspect of entrepreneurship, which greatly affects the support of the national economy. Therefore, through this article, we will be interested in highlighting the role of entrepreneurship in empowering women economically, as we focused Our interest in this study is to review basic concepts and the reality of women's entrepreneurship and women's economic empowerment, while identifying the obstacles and challenges they face. In the completion of this study, we relied on the analytical descriptive approach by analyzing data and information of the National Office for Statistics (ONS), in addition to using United Nations reports, and drawing on various studies and scientific publications. We have concluded that, despite the achievements made by Algeria, the recorded results reflect the status of women's entrepreneurship and show the defects and weaknesses that it suffers from. Weak and need more support and accompaniment
LexiGuard: Elevating NLP robustness through effortless adversarial fortification

NLP models have demonstrated susceptibility to adversarial attacks, thereby compromising their robustness. Even slight modifications to input text possess the capacity to deceive NLP models, leading to inaccurate text classifications. In the present investigation, we introduce Lexi-Guard: an innovative method for Adversarial Text Generation. This approach facilitates the rapid and efficient generation of adversarial texts when supplied with initial input text. To illustrate, when targeting a sentiment classification model, the utilization of product categories as attributes is employed, ensuring that the sentiment of reviews remains unaltered. Empirical assessments were conducted on real-world NLP datasets to showcase the efficacy of our technique in producing adversarial texts that are both more semantically meaningful and exhibit greater diversity, surpassing the capabilities of numerous existing adversarial text generation methodologies. Furthermore, we leverage the generated adversarial instances to enhance models through adversarial training, demonstrating the heightened resilience of our generated attacks against model retraining endeavors and diverse model architectures.
Construction of a Digital Color Grading Laboratory Based on DaVinci Resolve

With the widespread application of digital technology in the field of film and television production, digital color grading plays a crucial role as an essential post-production technique in enhancing the quality and visual appeal of audiovisual works. By adjusting the colors and lighting effects of the footage, digital color grading enables films to better express the director's intentions and emotions, enhancing visual impact and artistic influence. To achieve high-quality digital color grading effects, the establishment of an efficient and reliable digital color grading laboratory becomes essential. This paper focuses on exploring the construction of a digital color grading laboratory based on DaVinci Resolve, aiming to provide valuable references and guidance for filmmakers and promote the popularization and application of digital color grading technology.
A study on the reform of college foreign language teaching from the perspective of multi-culture

Under the background of the continuous improvement of modern education system in our country, the teaching mode of college education has been comprehensively innovative, and has provided good teaching support for students. From the perspective of multi-culture, there are still some problems in the current foreign language teaching mode in colleges and universities. It is necessary to reform and innovate the teaching, clarify the main direction of reform under multi-culture, constantly improve the quality of foreign language teaching, meet the diversified learning needs of students, and promote the comprehensive development of students' quality. Therefore, this paper will conduct in-depth research and analysis on the reform of college foreign language teaching from a multicultural perspective, and sum up some measures based on practical experience, hoping to be helpful to relevant personnel.
Research on the Collaborative Education Model for Digital Media Technology Talents in University -Enterprise Cooperation

In the context of the development of information technology, many new things have emerged, and digital media is one of them. Digital media belongs to an emerging field. With the acceleration of information construction in various industries, the demand for digital media technology talents in the market is constantly increasing, which puts forward higher requirements for the cultivation of digital media talents in vocational colleges. Therefore, the article analyzes the role of school enterprise cooperation in the cultivation of digital media talents in vocational schools and the current development status of the digital media market. Subsequently, it studies the current situation of digital media technology talent cultivation under school enterprise cooperation, and finally explores the construction path of digital media technology talent cultivation mode under school enterprise cooperation, in order to improve the quality of digital media technology talent cultivation in vocational schools.
Design of an online interactive teaching platform for physical education courses based on cloud computing

The traditional online interactive teaching platform for physical education courses is designed in classroom interactive teaching, but due to the teacher's leadership, students' interest in interaction is not high. Therefore, the design of an online interactive teaching platform for physical education courses based on cloud computing is proposed. The platform is designed from both hardware and software aspects. In the hardware design, the AFDHU-567121 model memory is used to store interactive teaching resources, and the HI3520RTSP processor is used to design and analyze the teaching platform server. In software design, the first step is to read and retrieve online teaching resources, followed by processing online teaching data based on cloud computing. Finally, through feedback from interactive data, the design of an online interactive teaching platform for physical education courses is achieved. In the experiment, the average user experience score of the experimental group among the five samples was 85.74; The average user experience score of the control group in the five samples was 58.32. The experimental results demonstrate that the designed platform can better meet user needs and provide a smooth interactive teaching experience.
Research on the Practice of Artificial Intelligence Technology Promoting Educational Reform and Innovation

This article elaborates on the concept of artificial intelligence and teaching reform. This article compares the differences between traditional education and educational learning based on artificial intelligence technology. This article proposes a method of utilizing artificial intelligence to promote individual learning. This project combines the needs of teachers and students to carry out artificial intelligence teaching reform from three levels of teaching. With the integration of university technology and artificial intelligence technology, it is hoped that it can provide some reference for promoting teaching reform and innovation.
Intelligent Descriptive Answer Evaluation System

Assessing the quality of responses in educational and professional assessments is a critical task, especially when dealing with subjective questions that demand descriptive answers. Traditional multiple-choice assessments fall short in evaluating a student's ability to express complex ideas and critical thinking skills. In this paper, we highlight the growing need for a Descriptive Answer Evaluation System (DAES) that can address the shortcomings of current evaluation methods. The primary goal of DAES is to provide a comprehensive and automated approach to assess descriptive answers, focusing on both content and expression. We explore the limitations of existing evaluation techniques, such as manual grading, and discuss how technology can revolutionize the assessment process by leveraging natural language processing and machine learning algorithms. Furthermore, we delve into the advantages of implementing a DAES, including scalability, consistency, and the potential for timely feedback. We also address the ethical considerations and potential biases that may arise in automated evaluation systems and propose strategies to mitigate these concerns. Through this paper, we aim to shed light on the importance of transitioning to a Descriptive Answer Evaluation System in educational institutions, standardized testing, and professional certification assessments. By embracing this technology, we can enhance the objectivity, efficiency, and effectiveness of evaluating descriptive responses, ultimately promoting a more equitable and robust evaluation process in various domains.
Dial-QP: A Multi-tasking and Keyword-Guided Approach for Enhancing Conversational Query Production

Recent works have utilized a dynamic process to seek up-to-date knowledge from search engines, yielding promising performance improvement in the field of knowledge-grounded response generation models. This pipeline consists of two stages: a Conversational Query Production (CQP) stage to acquire knowledge and a Response Generation to generate the final response. In this paper, we focus on the CQP task, which aims to condense the dialogue context into a concise query that is then fed to search engines. Previous studies have treated the problem as a generative task and always generated queries solely based on the dialogue context in an end-to-end manner. However, such a straightforward approach suffers from the followings: 1) the CQP model is hard to determine whether generating a query is necessary since not all scenarios require retrieval knowledge; 2) redundant content in the dialogue context can make it difficult for the model to recognize the key information that reflects the user’s concerns, particularly in multi-turn conversations. To address these challenges, we propose a novel BART-based Dial-QP for the CQP task, which decomposes the CQP task into Query Classification and Query Production tasks and then introduces a multitasking training paradigm to improve the decision-making process of No Query. Meanwhile, a Keyword Recognition stage helps the model focus on the key information. Extensive experiments and analyses on two CQP datasets DuSinc and WoI have demonstrated the effectiveness of Dial-QP. Our code is available at: https://github.com/Y-NLP/Chatbots/tree/main/NLPCC2023_Dial-QP.
he Acceptance of TikTok as a Tool in English Language Learning among University Students

TikTok is considered a potential tool for enhancing the development of students’ language skills and proficiency. However, research on the extent of students’ acceptance of using it as a language learning tool is limited. Therefore, this study aimed to examine the level of acceptance of TikTok in English language learning and the factors contributing to the actual use of TikTok among undergraduate students in Malaysia. This study employed quantitative research methodology by disseminating a 32-item questionnaire to 200 undergraduate students at a public Malaysian university via a Google Form link. Sections A, B, C, D, E, and F of the questionnaire sought responses on the demographic profile, perceived usefulness, ease of use, attitudes, behavioural intention, and actual use of TikTok in English language acquisition, respectively. The findings revealed that the average scores for the individual items and the overall scores for each component being studied were within the range of 3 to 4.1 on a 5-point Likert scale. This result indicated that the student’s level of acceptance was above average. Students’ behavioural intentions were also found to be the most significant factor in determining whether or not TikTok was used for English language instruction. Students acknowledged the use of TikTok in English language learning, suggesting that it could be used as a pedagogical instrument in English language classrooms. Consequently, the findings highlight TikTok’s potential as a language learning tool in English language courses, as it strengthens educational platforms and enhances instruction by giving students more ways to learn languages.
Pedagogical Concept of Integrative Teaching and Learning in the Context of Interdepartmental Interaction

This article presents the pedagogical framework for integrative teaching and learning, melding foreign language instruction with professional disciplines within the interdepartmental interaction. Through a comprehensive review of both foreign and domestic literature, the authors highlight the insufficient development of this concept in Ukraine, particularly in practical application. The study advocates for adapting and assimilating positive foreign experiences to the distinctive contours of Ukrainian higher education, underpinned by a robust theoretical and methodological foundation. The authors contend that the demands of modern life necessitate the active integration of interdisciplinary links into higher education curricula, leveraging foreign languages to develop foreign language professional communicative competence as an integral component of professional competence. They emphasize the pivotal role of interdepartmental collaboration in fostering such interdisciplinary convergence. Considering the unresolved nature of this issue in Ukraine, the significance and imperative for establishing an integrative teaching and learning concept in the context of interdepartmental interaction are undeniable. The article delineates the concept’s goals and objectives, scrutinizes the pivotal preconditions and rationale for its development, and furnishes a comprehensive algorithm for the seamless integration of professional subjects and foreign language instruction. Two main stages of integrative training, preparatory and organizational-procedural, are distinguished, with their characteristics outlined. Additionally, the article underscores the need for designing specialized transitional courses to harmonize profession-oriented content in foreign languages with specific disciplines.
Toward Streamlining the Evaluation of Novelty Detection in Data Streams

While batch machine learning algorithms typically assume that all the concepts are available at training, the reality is often different when dealing with continuous streams of data, where new concepts can emerge and existing ones change over time. The task of novelty detection is an increasingly popular field that tackles this problem by trying to recognize these formerly unidentified concepts that fall outside the decision boundary of the models. Although there have been numerous works discussing the implementation of such algorithms, studies covering their adequate performance evaluation are still scarce. In this paper, we present an evaluation framework that aims to streamline the evaluation of novelty detection algorithms. This framework irons out the shortcomings we identified in the domain, allowing us to obtain a more robust assessment of the performance. Specifically, we propose novel metrics to complement the existing ones, and we incorporate the temporal aspect of data streams within the evaluation. We empirically test the impact of intrinsic data streams' characteristics when using our proposed framework. We show the added value of this novel framework with experiments carried out on both artificial and real-world data sets.
Binary Oriented Feature Selection for Valid Product Derivation in Software Product Line

Software Product Line (SPL) is a group of software-intensive systems that share common and variable resources for developing a particular system. The feature model is a tree-type structure used to manage SPL’s common and variable features with their different relations and problem of Crosstree Constraints (CTC). CTC problems exist in groups of common and variable features among the sub-tree of feature models more diverse in Internet of Things (IoT) devices because different Internet devices and protocols are communicated. Therefore, managing the CTC problem to achieve valid product configuration in IoT-based SPL is more complex, time-consuming, and hard. However, the CTC problem needs to be considered in previously proposed approaches such as Commonality Variability Modeling of Features (COVAMOF) and Genarch + tool; therefore, invalid products are generated. This research has proposed a novel approach Binary Oriented Feature Selection Crosstree Constraints (BOFS-CTC), to find all possible valid products by selecting the features according to cardinality constraints and cross-tree constraint problems in the feature model of SPL. BOFS-CTC removes the invalid products at the early stage of feature selection for the product configuration. Furthermore, this research developed the BOFS-CTC algorithm and applied it to, IoT-based feature models. The findings of this research are that no relationship constraints and CTC violations occur and drive the valid feature product configurations for the application development by removing the invalid product configurations. The accuracy of BOFS-CTC is measured by the integration sampling technique, where different valid product configurations are compared with the product configurations derived by BOFS-CTC and found 100% correct. Using BOFS-CTC eliminates the testing cost and development effort of invalid SPL products.