Reviewerly/exHarmony huggingface dataset:
An Investigation of Variables Predicting the Reading Literacy in Pisa 2018

This study aims to determine variables predicting students’ reading literacy in the PISA application. Turkey’s PISA 2018 sample data that consisted of 186 schools and 6890, representing 12 regions from Turkey were analyzed by conducting a two-level hierarchical linear modeling to examine students’ reading literacy at the student and school levels. The results indicated that, according to the student-level predictors, female students had higher reading literacy and the reading literacy was positively influenced by an increase in predictors of father’s education level, predictors showing metacognition levels, socioeconomic levels, parents’ emotional support to the students, reading pleasure levels, and reading attitudes. Considering the school-level predictors, deficiencies in educational materials and student behaviors hindering learning reduced achievement, whereas teacher behaviors hindering learning had a positive effect on achievement. Offering extracurricular creative activities in the school environment reduced the negative impact of the educational status of the mother to a certain extent. The sub-dimension of the metacognitive level assessment had an increased impact on reading literacy, but student behaviors hindering learning had a negative effect on it. Considering the findings, the reasons for the low level of reading literacy of students and how it can be increased were discussed.
Cardless ATM System

Banks provide ATM cards to customer to avail the services like cash withdrawal, PIN change, balance inquiry etc. But physical cards have some problems. It can be stolen, skimmed, cloned, hijacked, damaged or expired. Due to this problem, we need to think an alternate way to provide better security. Many researchers are thinking about cardless transaction through ATM Automated Teller Machine (ATM) transactions are found safe, reliable, and inevitable these days for fulfilling our financial commitments. Traditional approach for using ATM mandates involvement of Debit card. But however, people do experience times when their account lacks balance amount or they forget to carry card and struggle to complete transaction. We know that parallel to ATM usage, mobile phones’ usage has also been an inevitable trend. Establishing a connection between these e-gadgets has ignited a simple and effective approach to withdraw cash without the involvement of debit card which can be referred to as card less cash withdrawal. Face detection and OTP is used for authentication of user. This along with Face detection comprises two levels of security. When Face and OTP are matched then customer’s account will open in ATM machine.
ASViS: A Protocol for Efficient Video Streaming Using SVC and Deadline-based Criteria.

Abstract Multimedia video streaming is the most used data consumption service on the Internet. Maintaining a data flow rate that provides the best video quality possible without overflowing the pipeline is challenging. Dynamic Adaptive Streaming over HTTP (DASH) is a commonly used protocol that sends video data in small packages called chunks. However, this technique can lead to video buffering issues and video pausing due to an empty video buffer. Adaptive Scalable Video Streaming (ASViS) is a more versatile protocol that uses scalable video coding, a flow-controlled user datagram protocol (UDP), and deadline-based criteria to manage the buffered data. Like transmission control protocol (TCP), ASViS adjusts the flow based on available bandwidth, and it can discard data based on video frame deadlines to prevent outdated data transmission. ASViS is compliant with RFC 8085, preventing it from overwhelming the Internet. The scalability feature allows ASViS to have the highest image quality possible in every frame allowed by SVC with the data layers available. A theoretical model is presented that predicts ASViS behavior under different network conditions. This work also shows how different parameters affect its performance and how it can be easily configured to optimize it.
GOVORNI ČINOVI KAO PRIMER MANIPULATORNE MOĆI REČI U GOVORU ALEKSANDRA VUČIĆA

The paper studies the manipulative power of language in political discourse, more precisely, in political speech. According to the classification of Mišić Ilić and Radulović (2015), which is based on the combination of Austin (1962) and Searle’s (2001) theories, commissives and expressives were studied in a speech given by Aleksandar Vučić, held in Kosovska Mitrovica on September 9, 2018. The aim of the paper is to show the power of language to manipulate the listener, through the strategic use of these two speech acts, which would illustrate an ideological contrast: concealing the speaker’s flaws, as well as their personal responsibility and involvement, while emphasizing the positive aspects of everything the speaker stands for. Speech acts are classified according to their explicit and implicit forms. The results show that implicit forms are more dominant, and at the same time they illustrate how the speaker dissociates from directly taking responsibility for the actions he commits to. Explicit forms, on the other hand, can only be interpreted in the wider context of the utterance, in which the speaker commits to taking insufficiently concrete action.
МАНИПУЛАТИВНА МОЋ ДИСКУРСА ПОЛИТИЧКОГ СПОТА У ПРЕДИЗБОРНИМ КАМПАЊАМА

This paper explores the manipulative power of political video discourse in election campaigns from 2016 to 2020 by using critical discourse analysis and the cognitive linguistic theory of conceptual metaphors. The manipulative power of the discourse is revealed through micro and macro analysis during the studied period. The corpus of the research consists of videos used in election campaigns, television broadcasts, including the ones archived on the official YouTube channels. Since 1990, the year relevant for the onset of democratic elections, to this day, the sub-genre of a video within the advertising and propaganda genre in political discourse has been largely altered: thus, it is noted that it has abundantly been used in election campaigns since 2016, with more significant investments into production, becoming more diversified in terms of topics and content. These alterations are compliant with political objectives and shaped according to the manipulative and persuasive strategies which are the inherent component of the advertising and propaganda genre in general. The aim of this paper is to demonstrate all stylistic and linguistic means that have a manipulative nature. It has been demonstrated that persuasive and manipulative aims in this discourse are accomplished by using various conceptual metaphors, but also with vulgarization (the corpus contains a video where the sexual orientation of a candidate is topicalized), celebrity endorsements (prominent people appear as political candidate, promoters), and aggressive self-promotion.
Comprehension of English Loanwords in Japanese by Japanese and English Speakers

This study addresses our understanding of English loanwords in the modern Japanese language. It aims to investigate the two types of English loanwords and made-in-Japan loanwords among Malaysian English speakers and native Japanese. The proposed study utilized a quantitative approach to determine the understanding of two groups of speakers; 60 Japanese speakers in Japan and 60 English speakers in Malaysia. The data collection of this research was completed using two questionnaires. The two questionnaires consist of 14 sentences with these two types of English loanwords selected from Japanese textbooks and other sources. The findings reflected correct responses to the meaning of English loanwords and made-in-Japan loanwords for Japanese speakers. The English speakers showed correct responses for English loanwords, however, they were discrepancies in responses when it comes to made-in-Japan loanwords. This research breaks ground on the issue of the comprehension of English loanwords and made-in-Japan among Native Japanese speakers and Malaysian English speakers. This study incorporates the theory of language contact by Thomason (2001). The contact occurs where the mutual influence of languages happens leading to code-switching, borrowing, and loanwords formed by the social setting and the contact environment. It also employs the theory of language awareness to support second language learning and develop the learner’s comprehension. The significance of the study emphasizes English language learning benefits and the importance of the learners’ understanding of the differences between English loanwords to utilize them in vocabulary building.
Multi-feature based Function Embedding Network for Binary Code Similarity

Binary similarity detection determines whether two given binary code snippets are similar or not, usually on function granularity. This task is challenging due to different compilation optimizations and CPU architectures. Recently, deep-learning methods have made great achievements in this field, although most of them use artificially selected features or ignore some important semantic information like code literals or function signatures during feature processing. In addition, random samples and pair loss function are used in similarity training, which only covers limited similarity relations between functions. In this paper, a new framework MFEN-Sim is proposed to detect similar binary functions. The framework contains three stages: feature extraction and normalization, mutli-feature based function feature embedding network (MFEN) and similarity learning network. Multiple features including assembly instructions, CFG structures and function code literals are extracted from binary functions. Then these features are fed into MFEN composed of three modules: function semantic and structure embedding module, function signature prediction module, and function code literal embedding module. The three modules generate embeddings representing the function semantic and structural features, the function signature prediction features and the function code literal features. Finally, MFEN-Sim utilizes a similarity training network based on contrastive learning to make MFEN recognize more similarity relations between functions. MFEN-Sim is evaluated on 281,601 functions in 144 binaries and 17 CVEs in real-world software. Experimental results show that our work outperforms state-of-the-art systems ( i.e., Gemini, FIT and SAFE) by 7.1%, 9.9% and 8.2% on AUC metric in cross-architecture, optimization-level similarity detection, and achieves higher recall than baselines in searching vulnerabilities in real-world applications.
Research on Music Literacy Education for College Students-Thinking from the Perspective of System Theory

Music literacy education plays a unique role in the process of quality education for college students in higher vocational colleges in its unique form. At present, due to the influence of various reasons, there are still some problems in the development of music literacy education in vocational colleges. To solve these problems well, we must start with formulating reasonable teaching plans, strengthening the construction of teaching staff, and improving teaching methods. Starting from the idea of system theory, it is of great significance and value to grasp the structure, purpose, hierarchy, integrity, coordination, and dynamics of music education in colleges and universities. Based on the idea of system theory, this paper conducts research on music education in colleges and universities, hoping to be beneficial to the development of music education in colleges and universities.
81 Emotions, language, and advertising

The main goals of this paper are three-fold: (i) to present a state-of-the-art research review of global advertising with special reference to emotional versus rational persuasive strategies, (ii) to identify key issues and approaches in global advertising to reach global consumers; (iii) to underscore the central role of language in creating a wide range of emotional and affective aspects/meaning in global advertising, namely product appeals, consumer attitudes and product attachment. To achieve these goals, we will draw upon recent studies of monolingual and bi-/multilingual advertising across various product types. Language choice, lexical and structural selection and prosodic features will be identified as the linguistic building blocks of emotions within the framework of modern generative linguistics. Drawing insights from marketing, cross-cultural advertising and socio-/ psycholinguistics, we will explore a variety of approaches/models and central issues in global advertising and its effectiveness across the various product types (consumer, electronic) and media modality (e.g., social/digital media. The dynamics of language mixing and its various manifestations will be explored for its significance in creating a wide variety of emotional effects. Finally, conclusions and indications for future research will be presented.
Effects of Working Environment on Employee Performance: In the Case of Bole Lemi Industrial Park, Addis Ababa, Ethiopia

The aim of this study was to investigate the effects of the working environment on employee performance in Bole lemi Industrial Park found around Addis Ababa, Ethiopia. A quantitative research approach with an explanatory research design was adopted in carrying out this research. Cross-sectional data were collected to address the study’s research objectives using a questionnaire from 315 employees using a random probability sampling technique. The collected data were analyzed using descriptive statistics, correlation, and regression analysis through the statistical package for social science (SPSS) version 25. The study used seven major working environment factors including physical environment, reward, democratic leadership style, work-life balance, training, workload, and discrimination as predictor variables and employee performance as the dependent variables. The finding of the research highlights that physical work environment, reward, and training have a positive and statistically significant impact on employee performance while workload and discrimination have a negative and statistically significant impact on employee performance. On the other hand, democratic leadership style and work-life balance have shown statistically insignificant impacts on employee performance. Based on the findings of the study, recommendations made for the management of the industrial park are: physical work environment in terms of lighting, noise level, temperature, and ventilation should be made sure that they stay at an acceptable level, discrimination has to be minimized at the workplace by encouraging employee irrespective of gender, age, ethnic group or religious belief to participate in decision making as this will help to reduce discrimination in the workplace.
Constructions of codes with weighted poset block metrics

Abstract Weighted poset block metric is a generalization of weighted poset metric introduced by Panek et al. ([14]) and the metric for linear error-block codes introduced by Feng et al. ([7]). This type of metrics includes many classical metrics such as Hamming metric, Lee metric, poset metric, pomset metric, poset block metric, pomset block metric and so on. In this work, we focus on constructing new codes under weighted poset block metric from given ones. Some basic properties such as minimum distance and covering radius are determined.
The classic writer's epistolary voice - with the rhythm of its time

The article suggests an attempt to comment the book “Letters by Ivan Vazov” through three conceptual lines which are revealed in the personalistic approach of the compiler Prof. Nikolay Chernokozhev: the social and cultural atmosphere, the issues of works of art, personal experience. Thus, through the role and meaning of the letter as a genre, the poet’s social roles and inner world are analyzed.
436 Novel approach for tracking interdisciplinary research productivity using institutional databases

OBJECTIVES/GOALS: This study proposes a pragmatic approach for tracking institutional changes in research teamwork and productivity in real time using common institutional electronic databases such as eCV and grant management systems. Dissemination of this approach could provide a standard metric for comparing teamwork productivity across different programs. METHODS/STUDY POPULATION: This study tracks research teamwork and productivity using commonly available institutional electronic databases such as eCV and grant management systems. We tested several definitions of interdisciplinary collaborations based on number of collaborations and their fields of discipline. Publication characteristics were compared by faculty seniority and appointment type using non-parametric Wilcoxon Rank Sum Test (p RESULTS/ANTICIPATED RESULTS: Interdisciplinary grants constitute 24% of all grants but the trend has significantly increased over the last five years. Tenure track faculty collaborated with more organizations (3.5, SD 2.5 vs 2.3, SD 1.1, p DISCUSSION/SIGNIFICANCE: This study provides empirical evidence of the benefits of interdisciplinary collaboration in research and identifies an important role that senior faculty may be playing in creating the culture of interdisciplinary teamwork. More research is needed to improve efficiency of interdisciplinary collaborations.
393 Disposable Electronic Nicotine Delivery Systems (ENDS) and Underage Nicotine Addiction–A Survey of College Students

OBJECTIVES/GOALS: To identify factors enabling growing underage consumption of disposable Electronic Nicotine Delivery Systems (ENDS) by understanding young adults’perceptions and patterns of use of disposable ENDS through surveying college students. METHODS/STUDY POPULATION: Disposable ENDS are all-in-one devices with pre-filled nicotine liquid and a built-in battery. Recent data shows increased sales as users, including youth, are switching from pod-based to disposable ENDS. Gaps were identified via a literature review of current survey data revealing unknown information about disposable ENDS. Based on these data gaps, an anonymous survey was developed to gain insight into youth disposable ENDS use. The survey was distributed to college students via social media, university email chains, and flyers with QR codes. Responses were analyzed to identify trends and correlations in disposable ENDS use among college students. The survey was approved by USC IRB, Study ID: UP-22-00023. RESULTS/ANTICIPATED RESULTS: Between March 6 and October 28, 2022, 166 completed survey responses were collected; 158 were students. 80.4% (127/158) of surveys were eligible for analysis with the following criteria: 18-20 years old, under the US legal age to use ENDS. Of respondents aged 18-20, 57.5% (73/127) reported using ENDS at least once. 79.5% (58/73) of underage respondents used disposable ENDS and 72.9% (51/70) reported disposable ENDS as their usual device. 93.0% (53/57) of underage users reported using a flavored product, 56.1% (32/57) reported FlumÂ®as their usual brand, 48.2% (27/56) reported convenience of use as the most attractive aspect of disposable ENDS, and 46.4% (26/56) obtained disposable ENDS from a convenience store. Of all disposable ENDS-using respondents, 98.7% (75/76) used for the first time while under the age of 21. DISCUSSION/SIGNIFICANCE: The survey continues to be open for data collection, with the goal of obtaining additional data. The goal with the additional data will be to create a comprehensive list of identified risk factors influencing underage disposable ENDS use and to suggest specific regulatory and policy reform to better address underage nicotine addiction.
17 Data Loofah: A web-based app for efficiently identifying erroneous data

OBJECTIVES/GOALS: The goal was to create and deploy an intuitive, easy-to-use tool that clinical investigators can apply to their data to identify erroneous or inconsistent data entries. Investigators can then correct any errors prior to sharing the data with their statistician for analysis. METHODS/STUDY POPULATION: We developed an interactive shiny app, the Data Loofah, using R Studio that researchers or data analysts can use to examine data. After an investigator uploads data, the app reports which variables are numeric or categorical. Means, standard deviation, median, 25th and 75th quantiles, range and number of missing values are reported for numeric variables. Counts and percentages of categorical variables are summarized. Graphical displays further enhance identification of errors. Access to the Data Loofah is through a secure, university-maintained website with access restricted to university personnel. Supporting materials consisting of instructional step-by-step handouts and videos were developed to assist investigators in the use of the app. RESULTS/ANTICIPATED RESULTS: We will integrate use of the Data Loofah into our Clinical and Translational Science Program’s biostatistics consultative practice. Investigators will use the Data Loofah to pre-screen their data prior to sending it to a statistician, identify errors and inconsistencies, and facilitate making necessary corrections. Statisticians will also use the Data Loofah to review data with investigators prior to starting analyses. Through use of this app, investigators are expected to develop a better understanding of their data specifically and more generally about requirements for preparing data for statistical analysis. Most significantly, regular use of the Data Loofah is expected to result in higher quality data and more efficient use of statistician resources due to reduced effort for data cleaning. DISCUSSION/SIGNIFICANCE: Data cleaning is a time-consuming task and finding data errors can be difficult for data analysts not familiar with clinical variables under study. Further, failure to identify data errors can lead to erroneous results. By facilitating identification of data errors by clinical investigators, the Data Loofah will improve and enhance research output.
Research on trajectory planning of mobile manipulator based on improved gradient projection algorithm

Abstract This paper takes a 10 DOF mobile manipulator as the research object. Aiming at the problem of joint acceleration overrun in the trajectory planning of a 10 DOF Manipulator, firstly, the scale factor is obtained by the extremum method. Compared with the commonly used extremum method, the optimization degree and the self motion limit factor are introduced, and a new algorithm considering joint acceleration constraint is deduced and proposed. By comparing the simulation results of the inverse solution algorithm, the effectiveness of the new algorithm is verified. Finally, it is applied to a mobile manipulator with 10 degrees of freedom for example motion test. The test results meet the design requirements. The results will be actually applied in engineering projects.
Medicine Reminder and Monitoring System for Secure Health Using IoT

In current society,busy life has made people forget many things in day to day life.The elderly people and the people victims of chronicle diseases who need to take the medicines timely without missing are suffering from dementia,which is forgetting things in their daily routine.Considering this situation study has been done in this.Project reviewing the technologies of home health care which are currently used for improving this situation by reminding the scheduled of medicine, remote monitoring and update new medicine data of patients,which can be done by prescriber through web.