Reviewerly/exHarmony huggingface dataset:
The Sociology of Interpretation

Recent years have seen a growing sociological interest in meaning. In fact, some argue that sociology cannot confront its foundational questions without addressing meaning. Yet sociologists mean many things when they talk about meaning. We propose a pragmatic approach that conceptualizes meaning as an instance of an actor interpreting a stimulus. Reviewing existing literature, we find that most sociological accounts understand meaning either as categorization or as semantic association. We show that an integrated approach is analytically useful for conceptualizing shared interpretation and the process by which people coordinate their interpretations. We conclude by highlighting how recent advances in the field of computational linguistics have opened exciting new possibilities for the study of interpretation, and suggest several avenues for future research.
An efficient algorithm to measure arrival times of weak seismic phases

SUMMARY In seismic tomography, traveltime information of seismic body phases is commonly used to invert the seismic velocities of the subsurface structure. At long periods or for later seismic phases, the arrival time of seismic phases lack definitive onset and a direct picking of the absolute arrival time has large uncertainty and reproducibility. A common practice is to estimate the relative delay between the observed and synthetic signals that maximizes the correlation coefficient. For that aim, we must first select appropriate time windows around the candidate signals. To improve the ability to detect and extract weak signals, we develop a new morphological time window selection (MTWS) algorithm that adapts to the shape of signals and has robust performance in automated processing of massive data. The MTWS method consists of two successive steps. First, we detect the major peaks on the waveform envelope using a maximum filter. Secondly, we solve for the beginning and end of the time windows surrounding the peaks straightforwardly from simple geometrical equations. The efficiency and robustness of the MTWS algorithm make it very suitable for automated processing of huge data sets. We demonstrate the implementation of the method with both synthetic and observed long period (20–40 s) SH waves. From ∼100 000 traces of transverse-component seismograms recorded by global seismic networks over the course of a year, we obtain ∼15 000 Sdiff, ∼7500 ScS and also some ScS multiples. The global map of Sdiff correlation time delays shows consistent patterns with the shear wave velocity perturbations on the core–mantle boundary in the recent tomographic models.
Kemampuan Literasi Kitab Kuning pada Santri Pondok Pesantren Madrasah Tsanawiyah Alliful Ikhwan Silangkitang Labuhan Batu Selatan

The purpose of this study was to find out how the students of Alliful Ikhwan Silangkitang Labuhan Batu Selatan Islamic Boarding School Students are able to access, evaluate, and use information on the contents of the tallow book with international literacy standards. The results showed that the results of this study, namely the ability of the Alliful Ikhwan Silangkitang Islamic Boarding School students to access information on the yellow book is quite good, this can be seen from the information obtained from discussing with the teacher and ustadz and also with friends, then the information obtained is then sorted and selected to be applied in everyday life. The ability of Islamic boarding school students to evaluate information on the yellow book is quite good. It can be aeen that to get clear information, everyone has different versions, some choose and sort the information first, and some directly use the information.
ANALYSIS OF EDUCATION MANAGEMENT FACTORS IN THE EDUCATION SYSTEM AND EDUCATORS

One aspect that affects the activities of the learning process is the teacher, so that in order for the learning process to run well, the teacher must understand the material before it is delivered to students and know exactly the knowledge that students have at the beginning before attending the lesson. This study aims to determine the relationship between the education system and education management and educators with education management. The method of writing this scientific article is qualitative and literature study or Library Research. Reviewing literature books by the theory discussed, especially in Education Management, analyzing reputable scientific papers and essays from non-reputable journals. In qualitative research, a literature review must be used consistently with methodological assumptions. The result of this study is that the education system affects the administration/management of education. If the education management system is implemented, education will be better. Furthermore, educators have an important role in implementing education management so that education management develops even more.
Reconceptualization of Language Modularity: An Innovative Pragmatic Approach to Teaching English

Language is varied and complicated. Language is modular, according to Jakobson, since it comprises two parts: meaningless sounds and meaningful signs. Chomsky believes people have unique modules and develop language modules intrinsically through universal grammar rules. Fodor considers the mind a family of modules with a language module. This article presents a novel and pragmatic perspective on the nature of language and its function in teaching English—vocabulary teaching. Through the author’s research, this work has produced an innovative pragmatic view of language that can be implemented in teaching English. Language is a subsystem that is functionally operational, self-contained, demarcatable, indexable, teachable, learnable, instructible, computerizable, and connectable. Subsystems can include subsidiary subsystems, making them open- or closed-word classes. This novel view of language as a subsystem contributes to language teaching and learning. Subsystem Knowledge (SSK), including form, meaning, structure, use, information, and related concepts, is required for teaching and learning a subsystem. Additionally, the aim of this article is to elucidate the functionality of this pragmatic view of language in language teaching and provide a set of guidelines on how to implement it using cooking vocabulary as an example. The studies cited in this paper examine language modularity through a cognitive lens and do not have direct implications for language instruction, unlike the present perspective on language, which is pragmatic as it combines linguistics and language teaching. Understanding the various components of a subsystem is beneficial for practitioners in teaching English. Keywords: Language learning, language modularity, subsystem knowledge, cooking vocabulary, vocabulary teaching and learning. DOI: 10.7176/JEP/14-23-02 Publication date: August 31 st 2023
A BLACK BOX TESTING DENGAN TEKNIK EQUIVALENCE PARTITIONS PADA WEBSITE DINAS PENGENDALIAN PENDUDUK DAN KELUARGA BERENCANA KARAWANG

Website testing is the verification phase whether the website is working properly or not. If there are still errors, they must be corrected so that the website created reaches its goals and is of good quality. The website of the Department of Population Control and Family Planning (DPPKB) of Karawang Regency is being tested. With the name of the website, namely kbinten.id, this website is the official website of the Karawang Regency DPPKB which is used as a place for information about family planning programs in Karawang Regency, which is web-based for the community and consists of two parts, namely the website as an administrative panel and based on the website used by the username. Testing is conducted on a black box utilizing the Equivalence Partitions method. Black box testing allows for an external assessment of the program's functionality without knowledge of the underlying code. The Equivalence Partitions technique is employed to validate data inputted into various forms or pages on the kbinten.id website. Each input value is systematically examined and categorized into test cases yielding either valid or invalid outcomes. The objective of testing on kbinten.id is to identify and rectify implementation errors promptly, thereby expediting the error correction process.
Artificial Intelligence and Its Impact on the Moroccan Labor Market: Job Disruption or Transformation?

Artificial Intelligence (AI) stands as an emerging technology poised to reshape various facets of our daily lives, with a particularly noteworthy influence on the labor market. In Morocco, AI adoption has commenced in diverse sectors, including finance, insurance, and telecommunications, opening up fresh avenues for employment. Nevertheless, this technological shift also ushers in challenges for Moroccan workers, necessitating training and upskilling to effectively engage with AI-driven systems. Within this article, we delve into the burgeoning impact of AI on the Moroccan economy and job landscape, delving into both the opportunities and obstacles that accompany its proliferation. Furthermore, we explore strategies that authorities and businesses can employ to harness the benefits of AI while mitigating its potential adverse effects on Morocco's workforce.
Quantum forgery attacks against OTR structures based on Simon’s algorithm

Classical forgery attacks against Offset Two-round (OTR) structures require some harsh conditions, such as some plaintext and ciphertext pairs need to be known, and the success probability is not too high. To solve these problems, a quantum forgery attack on OTR structure using Simon's algorithm is proposed. The attacker intercept the ciphertext-tag pair $(C,T)$ between the sender and receiver, while Simon's algorithm is used to find the period of the tag generation function in OTR, then we can successfully forge new ciphertext $C'$ ($C'\ne C$) for intercepted tag $T$. For a variant of OTR structure (Pr{/o}st-OTR-Even-Mansour structure), a universal forgery attack, in which it is easy to generate the correct tag of any given message if the attacker is allowed to change a single block in it, is proposed. It first obtains the secret parameter L using Simon's algorithm, then the secret parameter L is used to find the keys $k_1$ and $k_2$, so that an attacker can forge the changed messages. It only needs several plaintext blocks to help obtain the keys to forge any messages. Performance analysis shows that the query complexity of our attack is $O(n)$, and its success probability is very close to 1.
STUDENTS’ ANXIETY IN LEARNING ENGLISH AT ENGLISH EDUCATION STUDY PROGRAM KHAIRUN UNIVERSITY

The objective of this research was to investigate the factors contribute students’ anxiety in leaning English and their strategies to reduce the anxiety. This research used qualitative descriptive method. The subject of the research were 40 students of the second semester of the English Language Education study Program Khairun University. The data were collected by using questionnaire and interview. The result of this research show that most of the students are at “Anxious” level students. There are 18 (45%) students who experience “Anxious” level, 10 (25%) students are in “Mildly Anxious” level, 9 (22.5%) students are in “Very anxious’ level, 2 (5%) students are in “very relaxed”, an the last 1 (2.5%) students are in “relaxed” level. Furthermore, there were three factors can cause anxiety based on FLCAS, which included communication apprehension (CA), test anxiety, and fear of negative evolution and there were five strategies that the students can use to minimize their anxiety which included preparation, relaxion, positive thingking, peer seeking, resignation.
Preliminary study for development electronic student worksheet in biology

This study aims to analyze the needs of the development of electronic student worksheet on kingdom plantae material. The subjects in this study were 3 biology teachers and 29 students of class X SMA Negeri 1 Wonomulyo. This type of research is descriptive. Data collection techniques used are interviews and questionnaires. The results of the study showed that students received material using lecture, question and answer, demonstration methods and were assisted by learning media, there was already a presentation of the student worksheet given but only on certain material. Student worksheet is impressed as a tool for writing and copying, and looks less attractive. In addition, the use of gadgets and laptops during learning is still not optimal. Students experience difficulties in understanding the differences in each division and class in kingdom plantae. Teachers and students are interested in using electronic student worksheet. Therefore, the solution that can be done is to develop an electronic student worksheet on kingdom plantae material.
Novaia model' vysshego obrazovaniia v Rossii: problemy i perspektivy ee vnedreniia

More than 20 years the two-level system of higher education within the framework of Bologna system has been developing in the Russian Federation. However, it proved to be untenable for the Russian Federation, as it significantly reduced the quality of training of university students as professionals demanded by domestic organisations. Under the conditions of economic sanctions against Russia by the USA and a number of countries, it became necessary to implement the import substitution strategy. But its implementation required the development of industry, opening of new enterprises and production facilities, which, in turn, required professionals capable of doing this. As a consequence, it was necessary to change the system of training the necessary specialists in domestic universities. The study of the identified problems was carried out taking into account the practical experience of the author, using the method of included observation and discussion of the identified problems at various conferences, as well as the study of various studies on this issue.
Experimental Demonstration of High-Dimensional Hyperentagled Quantum States

In this work we demonstrate experimentally the realization and characterization of high-dimensional hyperentangled quantum states of light in the time-energy and polarization degree of freedom. For this goal we use an ultra-bright Sagnac-type source to generate entangled photon in the telecommunication band by means of spontaneous parametric down-conversion (SPDC). To project the time-energy entanglement to a 4-dimensional space we implemented a 4-arm interferometer, consisting of a cascade array of 2-arm unbalanced Mach-Zehnder interferometers (UMZI). For the case of the projection of the entangled quantum states in the polarization degree of freedom (DoF) a compact, stable and robust polarization analysis module (PAM) was implemented to project polarization correlations in two non-orthogonal basis.
Visualizing Player Attributes: Transforming Data into Insightful Graphs, Heatmaps and Radar Plots

The concept behind this approach involves showcasing the strengths and weaknesses of players through the utilization of graphs, heatmaps, and various Radar Plots. Numerous websites gather vast amounts of data for various purposes, which we will extract through web scraping. Additionally, there will be a substantial dataset available, consisting of files in formats such as CSV and more. All this collected data will be transformed into visually engaging diagrams. The utilization of graphs enhances the readability and improves the overall experience of interpreting the data, as people generally prefer visual presentations over raw numbers.
A STUDY COMPARING MACHINE LEARNING AND DEEP LEARNING METHODS FOR THE DISCOVERY OF FAKE NEWS IN HEALTH SECTOR USING DIFFERENT DEEP AND SHALLOW METHODS

ABSTRACT The problem of fake news, which existed even before Internet prevalence, has been made worse by the internet's growth and adoption. If the news is concerning your health, this becomes more urgent. This study suggests Content Based Models (CBM) and Feature Based Models (FBM) as solutions to this problem. The supplied input is what distinguishes the two models. The FBM also takes two readability features as input in addition to the content, whereas the CBM simply accepts news content as an input. Under each category, the effectiveness of two hybrid deep learning approaches, namely CNN-LSTM and CNN- BiLSTM, is compared with five classic machine learning techniques: Decision Tree, Random Forest, Support Vector Machine, AdaBoost-Decision Tree, and AdaBoost-Random Forest. The study used the Fake News Healthcare dataset, which included 9581 stories. This extremely unbalanced dataset is balanced using a simple data augmentation technique. The experimental findings show that Feature Based Models outperform Content Based Models in terms of performance. AdaBoost- Random Forest had an F1 Score of 98.9%, while the Hybrid CNN-LSTM model had an F1 Score of 97.09% among the proposed FBM. The best-performing model for classifying fake news is Adaboost-Random Forest under FBM.
Enhancing Software Fault Localization Using Deep Learning Techniques

The goal of software fault localization, a crucial activity in software development, is to locate the flaws in a program’s source code. Program analysis and statistical approaches, which are frequently used in traditional fault localization procedures, may not be able to fully capture complicated fault patterns. An innovative method for locating software faults using deep learning techniques is presented in this abstract. Our method makes use of deep neural network technology to extract complex defect patterns and correlations from software execution data. We build a deep learning model to predict the likelihood that each program statement will be incorrect by modelling the execution traces of the program as input sequences. The model can recognise pertinent aspects and identify subtle fault indications since it learns from a broad data set of labelled faults and non-faulty executions. As a result, our study makes a contribution to the field of software fault localization by outlining a novel strategy that makes use of deep learning. Our method presents a potential strategy to increase the accuracy and effectiveness of fault localization, thereby boosting software quality and development productivity. We do this by utilising the benefits of neural networks in capturing complicated fault patterns.
Improvement of Apriori Algorithm and its Application in College Students PE Online Teaching System Platform

College students sports online teaching platform has good teaching effectiveness, so it has been popularized in the field of college physical education. However, due to time constraints, the effectiveness of this platform has not been fully played. Therefore, in order to solve this problem, this paper will focus on improving the Apriori algorithm to carry out research. The basic concept of Apriori algorithm is introduced, and then it is improved, and finally the system platform is reformed to promote the algorithm into the platform, and the reasonable application mode of algorithm in the system platform is introduced. Through the research, it is proved that the online teaching system platform can play a full role under the improved Apriori algorithm, and can effectively improve the quality of physical education.
Appraisal of Neotectonic Activities in Shadi Kaur Catchment, Pasni, Balochistan-Pakistan

The goal of this research is to assess Neotectonic activity in the northern Pasni region of Balochistan-Pakistan. For atotal of 57 drainage sub-basins, four geomorphic parameters were calculated. These include the Factor of asymmetry(FA), Shape of the Basin (SB), Hypsometric Integral (HI), and Length Gradient of the stream (LGS). The Index ofNeotectonic (IN) was computed using a combination of the calculated geomorphic characteristics. The basins were thenclassified as having high, moderate, and low intensities as a result of this indexing. The tectonic strain by majorlineation found between Hoshab fault and NNE trending Nai Rud fault and NNE trending Ghulaman-i-Bent fault,respectively, has influenced the mechanism of current channels geometry, according to the quantitative analysis. TheIN intensities distribution revealed considerable disparities amongst drainage sub basins, indicating variances inNeotectonic activity due to their placement in relation to the study area's fault networks. A total of 8 knick pointsincluding the slope-break and vertical-step, were distinguished within the catchment area depending on the influencingfactors
ON-LINE LEARNING IN UNIVERSITIES OF UKRAINE: STUDENT MOTIVATION

As practice and scientific researches show, maintaining and developing motivation in the online format during education in the conditions of a pandemic and martial law in Ukraine is a rather difficult task. In the conditions of distance learning and the psychological crisis associated with it, the teacher must take into account the needs of the student and find special approaches to the organization of the educational process. In these situations, it is necessary to find special methods of stimulating and motivating students to study, to the educational process – to join online meetings on time, to work in conditions where there is no live contact with the teacher, to use time management and all its components for student self-organization, choosing an individual approach to each student, stimulating learning using the most common motivational models. The task of the teacher in this situation is to stimulate the student’s positive attitude to learning, with the development of positive emotions in them, to apply new types of activities, to make learning a creative process. The purpose of this article is to determine ways to increase students’ motivation for online learning in the special conditions of modern Ukraine. The article analyzes the scientific and methodical literature, compares and summarizes the approaches to motivating students in the form of online learning, which are available in the modern methodical literature. As a result of the study, the ways of their application in the educational process of the universities of Ukraine in the conditions of the pandemic and martial law were determined. It has been established that a decisive prerequisite for ensuring successful online learning is the conscious consideration of the motivational factor and its management throughout the entire learning process. The factors of effective organization of online classes were considered and analyzed: preservation of interactivity and activity of the educational process; availability of an individual approach; organization of a flexible training system; organization of effective feedback; selection and preparation of educational material; the use of visual aids and technical tools on various educational platforms. The functions and tasks of the teacher in the conditions of online learning, his/her role in forming a sense of group unity in order to activate the activities of students during distance learning are determined. The results of the study can be considered as recommendations for teachers to increase the motivation of students who work in the online format.