Reviewerly/exHarmony huggingface dataset:
Pengaruh Bahan Ajar Berbasis Audiobook Terhadap Hasil Belajar Siswa di Sekolah Dasar

The problems found in the field based on observations in the field are that the existing teaching materials do not attract students' interest and student learning outcomes are still low. The problem is the unavailability of teaching materials that are innovative and attract students to be motivated to learn. This causes students to have difficulty absorbing and understanding the material taught by the teacher. The purpose of this study was to see the effect of implementing audiobook-based teaching materials on student learning outcomes. The research method used in this research is a quantitative research type with a quasi-experimental type. In this research design, the researcher used an experimental group with a control group, which was started by giving a pretest to each group. The population in this study were students at SDN 4 Pule, Trenggalek Regency. The sampling technique used is purposive sampling, namely the sample used is fourth grade students at SDN 4 Pule, Trenggalek Regency. The instruments used in this study were observation sheets, interview guidelines, and tests. While the data analysis technique used is independent sample t-test with the help of SPSS 25.0 software. The results of this study indicate that the use of audiobook-based teaching materials has an effect on differences in student learning outcomes before and after the use of audiobook-based teaching materials, so audiobook-based teaching materials can improve learning outcomes and students become motivated in learning because students can understand the material without reading.
Piecewise Uniform Quantization for One-Dimensional Two-Component GMM

In this paper we propose piecewise uniform scalar quantization (PUSQ) for amplitudes having one dimensional two-component Gaussian mixture model probability density function (GMM pdf). For the proposed model we also derive asymptotic formulas for the mean-square error (distortion D) and signal to quantization noise ratio (SQNR). In addition, for the constraints introduced during the theoretical model formulation, we perform a numerical optimization of PUSQ in terms of the mean square-error, or, equivalently, in terms of the SQNR. In particular, for the given constraints we determine the threshold between ranges of PUSQ that maximizes the SQNR. As quantization of amplitudes with GMM pdf has not been frequently considered in the literature, we believe that the results presented in this paper will help to gain a better insight into this issue.
THE IMPACT OF GLOBALIZATION PROCESSES ON THE ECONOMIC DEVELOPMENT OF KAZAKHSTAN

The latest report of the World Economic Forum identifies the growing socioeconomic inequality as the main challenge of 2020. The essential feature of the world, the modern complex and full of contradictions, carried out in the rank of the state, social groups and individuals is the process of globalization. Today, the process of globalization, aimed at covering all aspects of the life of the world community, is becoming a factor in world politics. Despite the different opinions of scientists and political scientists about when globalization began, what its nature is, in the modern world this process is associated with the beginning of the 1960s in connection with the sharp development of the scientific and technological revolution. The relevance lies in the fact that the process of globalization is spreading throughout the world and has an impact on all spheres of society: economic, political, cultural, social. Especially when globalization poses very complex and fundamental questions to other countries. And a lot will depend on how these issues will be resolved in the future in our young state. It is becoming increasingly obvious that globalization horizontally attracts many problems, especially for developing or, like us, Countries undergoing a transition period. At the same time, there are many positive aspects that this process brings to humanity. In this regard, given that Kazakhstan confidently follows the left path and develops independently, it is now important to master all the positive influences in the context of globalization and, entering it, act not only as a feeling party, but also as a feeling party.
Passive clauses argument structure of give verbs in corpus of contemporary American English (COCA)

This study is entitled Passive Clauses Argument Structure of Give Verbs in Corpus of Contemporary American English (COCA). It is concerned with the argument structure which is mapped to the grammatical relation. This study aimed to recognize the grammatical relations in passive clauses which have “give verbs”. This study is library research. The data of this study were taken from Corpus of Contemporary American English (COCA) which is concerned with passive clauses. To collect the data, the documentation method and note-taking technique were applied. The descriptive-qualitative method was applied in analyzing the data. The data were described and explained based on the theory argument structure and the theory of passive. Based on the analysis, the grammatical relation operated within passive clauses with the class of give verbs involves subject, object, and oblique. Verb feed, give, and pay in passive can be constructed with S-V, S-V-O, S-V-OBL, and S-V-O-OBL. However, the construction found with verb lease in passive is S-V and S-V-OBL. On the other hand, the possible construction found in verb lend in passive is S-V, S-V-OBL, and S-V-O.
Meningkatkan Budaya Membaca Melalui Literacy Cloud

The current era of globalization affects various sectors of life which are massively marked by the use of technology. As a result of globalization, many individuals who are capable of knowledge and insight are born, and produce individuals with the term digital native, namely where the internet is an integral part of the lives of generations living in the digital era. Within the setting of instruction, the advancement of innovation and the web ought to have had a positive affect on the learning handle as well as from the viewpoint of educator proficient development. Conditions at SDN 1 Karawang Wetan, SDN 1 Palubonsari, and SDIT MTA Karawang, where the culture of reading or digital-based literacy needs to be improved. The solution to overcome these problems is the reading movement program through the Literate School Ecosystem program, which is defined as a movement to motivate, mobilize, and cultivate reading digitally, which is carried out with a participatory persuasive approach. The method used is descriptive qualitative with data sources in the form of interviews, literature review, field notes and observations. This activity consists of three treatments in the form of training, assistance with digital information retrieval strategies, and application of fun reading to children. This activity program has succeeded in increasing digital literacy, where the evaluation results show teachers are able to search for digital information, and apply fun reading to students.
DECISION SUPPORT AND MONITORING SYSTEMS FOR HUMANITARIAN PROGRAMS USING FORWARD CHAINING METHOD

One of the covid-19 pandemic impacts is the emergence of new social problems. Humanitarian agencies are helping the government's role to overcome various social issues that arise through its humanitarian programs. One of which is with the MSR program from Aksi Cepat Tanggap Purwokerto. With increasing social problems and the complexity of improving data collection due to the covid-19 pandemic, the methods' limitations previously using paper will be difficult, and the limits of people who have the expertise to make decisions related to the submission of prospective beneficiaries. A decision support system is needed to provide suggestions of results under the rules that have will determining and monitoring and filing systems to provide convenience in managing data collection.
Updating a Commitment to Openness

In 2021, the Iowa State University Library passed a new Open Access Commitment, replacing an outdated document with one that better supports the diverse range of work done by the library staff at Iowa State University.
Research on the Promotion Strategy of Salary Satisfaction of Grass-roots Employees in Enterprises

At present, social talents have become the core of determining the competitiveness of enterprises. Only by establishing a scientific salary management system can enterprises increase the attraction to talents and enhance the competitiveness of enterprises. Employee salary satisfaction is an important part of salary management, so improving employee salary satisfaction is the key to improve the competitiveness of enterprises. Taking Grass-roots employees as the research object, this paper designs a questionnaire and collects data from the four aspects of employees' satisfaction with salary level, salary system, welfare level and salary structure. Through the analysis of the obtained data, it is found that employees have low satisfaction with these four aspects, and finds out the problems and reasons for low satisfaction in these four aspects, At the same time, it also puts forward strategies for the enterprise to improve the salary satisfaction of Grass-roots employees, so as to improve the satisfaction status of Grass-roots employees, improve their work enthusiasm, promote the sustainable development of the company, and provide some help for other enterprises in the same industry to improve employee salary satisfaction.
Efficacy of Plasmodium falciparum histidine-rich protein 2 (Pfhrp 2) rapid diagnostic test (RDT) and microscopy in the detection of falciparum malaria among symptomatic patients in Akure, Nigeria

Accurate diagnosis and prompt treatment are highly essential in the management of malaria, which is one of the deadliest infectious diseases worldwide, particularly in tropical and sub-tropical regions including Nigeria. This study was designed to evaluate the efficacy of malaria histidine-rich protein 2-based rapid diagnostic test (RDT) and microscopy in the diagnosis of falciparum malaria in Nigeria. This was a cross-sectional and hospital-based study. The standard method of microscopy was used as the gold standard. Giemsa stained thick and thin smears were prepared to count and detect malaria parasite species. Also, a malaria histidine-rich protein 2-based RDT was used to detect malaria parasites and diagnostic efficacy were determined through the measure of sensitivity, specificity, Positive Predictive Value (PPV), Negative Predictive Value (NPV), diagnostic accuracy and Youden Index (J). The result showed that out of the total 303 individuals examined, a total malaria prevalence of 67.0% and 68.0% were recorded for micr oscopy and RDT, respectively. Additionally, the sensitivity (95% C.I), specificity (95% C.I), PPV (95% C.I), and NPV (95% C.I) of RDT compared to microscopy were 97.54 (94.36-98.94), 92.00 (85.00-95.89), 96.12 (92.53-98.02), and 94.85 (88.50- 97.78), respectively. The diagnostic accuracy (95% C.I) and Youden Index (J) were 95.71 (92.77- 97.70) and 0.89, respectively. Conclusively, our study revealed that RDT continues to remain efficacious. Thus, while malaria diagnosis by microscopy which is the gold standard remains the major method of malaria detection, it should be complemented by rapid diagnostic test (RDT), particularly in high malaria endemic regions where mean parasite density of patients are usually high.
Determining the Risky Software Projects using Artificial Neural Networks

Determining risky software projects early is a very important factor for project success. In this study it is aimed to choose the most correctly resulting modelling method that will be useful for early prediction of risky software projects to help companies to avoid losing time and money on unsuccessful projects and also facing legal requirements because of not being able to fullfill their responsibilites to their customers While making the research for this subject, it is seen that in previous researches, usually traditional modelling techniques were preferred. But it is observed that these methods were mostly resulted with high misclassification ratio. To overcome this problem, this study proposes a three-layered neural network (NN) architecture with a backpropagation algorithm. NN architecture was trained by using two different data sets which were OMRON data set (collected by OMRON) and 2016-2020 ES.LV data set (collected by the authors) separately. For the made of this study firstly the most relevant classification method (Gaussian Naive Bayes Algorithm) and the most relevant neural network method (Scaled Conjugate Gradient Backpropagation Algorithm) was chosen and both data sets were trained by using each method seperately for the purpose of observing which type of modelling architecture would give better results. Experimental results of this study showed that the neural network approach is useful for predicting whether a project is risky or not risky.
Students’ Perception of Listening Material in Extensive Listening

Extensive listening takes an essential role in improving students’ listening skill. Extensive listening provides or promote students’ comprehension and enjoyment in class activity or listening practices. The success of extensive listening is depended on having easy the access of right materials. The present study examines on students’ perception of listening material in extensive listening. The present study only focuses on the materials are designed for some meeting in extensive listening class. In this regard, the material is meant to provide students with L2 listening proficiency. Allowing the students exploring YouTube channel is destined to have proper and pleasure material. In order to know the suitability and inclination of the material, descriptive qualitative research is conducted. This study undertakes interview to students who have participated in extensive listening class. The research findings reveal that the students’ perception on listening material are: 1) listening material motivates and engage students in listening skill, 2) students are very enthusiasm in discussing material of their own choice, and 3) extensive listening material is appropriate for listening practices. Because the material in extensive listening can expand their knowledge about the topic that they have chosen, enhance their word recognition in speech, and explores students’ ability regarding normal speech rate.
Design of efficient DSP operation with 16x16 RMAC unit using cadence tool

Reversible multiplier and accumulator (RMAC) are the essential operation using in DSP application where DSP processor requires high performance with different application.so the speed of operation is increased only by, implementing and designing 16x16 RMAC. Since the power consumption and heat is high in MAC. It can only be reduced by using an RMAC and chips like FPGA get increases. Whereas three fetch decode-execute cycle is needed in MAC for simulation of result.so time delay and high quantum cost should be contained in circuit. Though single fetch-decode execute cycle is more enough to RMAC for simulation of result. Time delay were not required and quantum cost is low for the circuit. For long circuits using normal gates dissipates more heat. The operations performed by using reversible gates do not dissipate heat energy because the circuit reaches the input as well as output. In this reversible MAC, the gates, adder is reversible. Accumulator uses Fredkin gates. If single bit of information is lost, it diss-appear (kTln2) joules of heat energy for irreversible circuit. No more information mapping is lost in reversible circuits between input and output. It deals with VLSI design and FPGA technology.
Features of psychological readiness of teachers to use information and communication technologies in pedagogical activity

The objectives of the research: The article considers the problem of preparing teachers for activities in the information space, which covers both the virtual space, where electronic communications are provided via various Internet networks, and certain technical devices. Considerable attention is paid to the study of the peculiarities of the psychological readiness of teachers to use information and communication technologies. The complex of research methods is used in the work: Psychological features and problems of the influence of information and communication technologies on the implementation of effective interaction between teachers and students are identified. Theoretical results: Based on the analysis, the essence and structure of psychological readiness of teachers to interact with students in the digital educational environment are revealed, which contains cognitive, motivational and operational components. Empirical results: A set of methods for studying the levels of psychological readiness of teachers to use information technology and interaction with students in the educational environment is grounded and the results of their application in a representative sample of educators are presented. It is noted that the introduction of ICT in the educational environment contributes to improving its quality, as well as improving the organization of educational institutions and their management.
Preparation of future educators in higher education institutions for the specifics of their professional activities in an inclusive education

The article identifies the importance of inclusive education in Ukraine based on the analysis of psychological and pedagogical literature.The main qualities that should be inherent in an educator working in an inclusive environment: humanity; the ability to ensure the connection between the child and the educator; spirituality; the ability to shape the child's personality; possession of methods of practical pedagogical activity, pedagogical technologies; availability of pedagogical abilities.The necessity of preparation of the future educator for the following is proved: composition of the complex program of development of the child with special educational needs; providing additional services and introducing new forms of support in the learning process; organization of observation of the dynamics of the child's development.The method of preparation for such activities is shown.Positive results are gained by psychological and pedagogical support, which means a comprehensive system of measures for the organization of the educational process and child development according to the individual program.It is participated by the director of the preschool institution, methodologist, educators, practical psychologist, social worker or teacher, special education teacher, rehabilitation teacher and parents, medical worker of the educational institution, doctor, child assistant, social protection specialists, various services children, etc.It is determined that the professional activity of an educator in the system of inclusive education involves mastering a specific way of working in an inclusive environment: to treat all children equally, give students with special needs feasible tasks, involve such children in group work, joint problem solving; with the use of modeling, games, projects, theatrical performances, artistic creativity.Much attention is paid to the professional competence of the educator.
Eye-Tracking

Eye-tracking technology monitors participants’ eye movements to different types of verbal and non-verbal stimuli presented on a computer screen, e.g., written texts, computer-based tests, images or scenes, video content and subtitles, and written production tasks. Participants can engage as they normally would with these computer-based activities while their eye movements are monitored. Where participants look on the screen indicates what they are attending to and for how long. Thus, attention, or processing effort, can be inferred from eye movements. Such eye movement behavior can be explored in relation to individual differences. In this chapter, we first discuss eye-tracking technology to understand how it might be used in individual differences research. Then, recent research that has explored the role of individual differences, in particular cognitive differences (e.g., executive control and working memory), on eye movement patterns is examined. Finally, the potential of eye-tracking data to be used as a proxy for individual differences and/or as a diagnostic tool is considered.
Codes in the q-ary Lee Hypercube

Let F q = {0, 1, . . ., q -1} be an alphabet of size q, so that F n q is the q-ary hypercube of dimension n.Let x = (x 1 , . . ., x n ) and y = (y 1 , . . ., y n ) be two elements in F n q .The Lee distance between x and y is equal toC is called a code.Given an integer radius r 1, we consider three types of codes with respect to the Lee distance: an r-dominating code C (also called an r-covering code) is such that any element x ∈ F n q is within distance r from at least one codeword c ∈ C (then c r-dominates x); an rlocating-dominating code C is (i) r-dominating and (ii) such that any two vertices x, y in F n q \ C are r-dominated by distinct sets of codewords; an r-identifying code C is (i) r-dominating and (ii) such that any two vertices x, y in F n q are r-dominated by distinct sets of codewords.We look for minimum such codes.For the above three types of codes, we give tables of upper bounds on their smallest cardinalities, for alphabet size q ∈ {4, 5, 6}, dimension n up to 7, and radius r up to 5.These bounds are obtained mainly by using different heuristics (greedy, descent, noising).We conclude with conjectures and open problems.
Real-Time Large Vocabulary American Sign Language Recognition System for Mobile Devices

The American Sign Language (ASL) is the only major language used in the educational system of hearing-impaired people in Nigeria. The automatic recognition system of the signs has not been currently used for the teaching of hearing-impaired students. This study developed a realtime large vocabulary sign language for ASL implemented on android devices. Samples of static and dynamic hand gestures were collected from the primary school of handicap, Osogbo. The specific objectives include the collection of hand gestures, examining the specific features for the recognition process, designing a model for the specific features examined, implementing the model, and evaluating the performance of the system. The real-time vocabulary sign language was recognized using Convolution Neural Network (CNN) implemented using Python programming language. The developed system was evaluated using precision, recall and accuracy as metrics. The model prediction carried out using the test image has an overall accuracy of 92.98%. The obtained result showed that the system will enhance the learning skills and provide adequate learning platform for both students and the teachers of hearing-impaired schools.