Reviewerly/exHarmony huggingface dataset:
The Effect of Text Messaging on EFL Learners' Lexical Depth and Breadth

Using technology in the classroom context can be an effective way to learn a foreign or second language. Vocabulary is considered one of the important skills for identifying a learner's performance in various academic and non-academic contexts. The present paper investigated the effect of text messaging on learners' lexical knowledge and vocabulary size by using mobile learning ( m-learning). After the administration of an Oxford Placement Test, a total of 37 EFL learners were selected as the sample of the study. Before the treatment process, a word association test (WAT) and the updated vocabulary level test (UVLT) were administered as pre-tests. The learners received six vocabulary items selected from their coursebook through SMSs three times a week in addition to the in-class instruction. After finishing the treatment process, the WAT and the UVLT tests were administered again as post-tests to assess the learners' achievement and the effectiveness of the treatment. Since the normality of data distribution was not confirmed, the Wilcoxon signed-rank test was run for mean comparisons. The findings showed no meaningful difference between the pre-tests and post-tests regarding the vocabulary depth scores, while there was a statistically significant difference based on vocabulary breadth. Therefore, it can be claimed that text messaging via m-learning had a significant impact on learners' vocabulary breadth. Curriculum developers and EFL teachers can benefit from the findings of the current study by considering the significance of text messaging for teaching different aspects of lexical knowledge.
PEMBUATAN GAME REPTIL MENGGUNAKAN ALGORITMA BOIDS BERBASIS ANDROID

Reptile Game is a game inspired by reptile animals with the type of Third Person Shooter with the theme of adventure or arcade genre adventures played by single players offline using Android-based devices. This game has two levels, with two enemies namely crocodile and humanoid where the movement of the enemy applies the boids algorithm. The aim of this research is to build a reptile game with a Third Person Shooter type where the movement and behavior of the enemy by applying the Boids algorithm and running on the Android operating system. The expected benefit is that it can provide fun and entertainment as well as a means of training speed and agility for players. The result of this research is the Reptile Game application that runs on the Android operating system. By applying the boids algorithm which functions as a group behavior simulation, according to 3 rules, namely being able to adjust the distance (separation), match the average velocity (alignment) and remain in position or line (cohesion). Incorporating 2D and 3D animations into unity 3D applications that can add to the appeal of the player.
PENINGKATAN KEMAMPUAN MENULIS PUISI DENGAN MENGGUNAKAN MEDIA POSTCARD

This study aims to describe the improvement of the learning process, the attitudes of students, and the results of learning to write poetry with POSTCARD MEDIA for students of class VIII Α SMP Angkasa. This research is a Classroom Action Research (PTK) with research subjects consisting of 22 students. This action research was conducted in two cycles, each of which contained four components, namely planning, implementing, observing, and reflecting. Observation data were obtained through tests, observations, document analysis, interviews, and questionnaires. The data analysis technique used qualitative and quantitative descriptive analysis techniques through descriptive statistical techniques. The results showed that the application of postcard media could improve students' poetry writing skills and motivation in learning to write poetry. The improvement of students' poetry writing skills can be seen from the quality of the process, positive attitudes, and learning outcomes of students during the learning activities to write poetry. The process improvement and positive attitudes of students in participating in learning activities are indicated by the activeness, interest, motivation, enthusiasm and seriousness of students who have increased in each cycle.
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets

Despite the success of recent Neural Architecture Search (NAS) methods on various tasks which have shown to output networks that largely outperform human-designed networks, conventional NAS methods have mostly tackled the optimization of searching for the network architecture for a single task (dataset), which does not generalize well across multiple tasks (datasets). Moreover, since such task-specific methods search for a neural architecture from scratch for every given task, they incur a large computational cost, which is problematic when the time and monetary budget are limited. In this paper, we propose an efficient NAS framework that is trained once on a database consisting of datasets and pretrained networks and can rapidly search for a neural architecture for a novel dataset. The proposed MetaD2A (Meta Dataset-to-Architecture) model can stochastically generate graphs (architectures) from a given set (dataset) via a cross-modal latent space learned with amortized meta-learning. Moreover, we also propose a meta-performance predictor to estimate and select the best architecture without direct training on target datasets. The experimental results demonstrate that our model meta-learned on subsets of ImageNet-1K and architectures from NAS-Bench 201 search space successfully generalizes to multiple unseen datasets including CIFAR-10 and CIFAR-100, with an average search time of 33 GPU seconds. Even under MobileNetV3 search space, MetaD2A is 5.5K times faster than NSGANetV2, a transferable NAS method, with comparable performance. We believe that the MetaD2A proposes a new research direction for rapid NAS as well as ways to utilize the knowledge from rich databases of datasets and architectures accumulated over the past years. Code is available at this https URL.
Training of teachers for the implementation of universal design in educational activities

The purpose of the research is to determine ways in order to train teachers for the implementation of a universal design in educational activities at secondary education institutions. 378 teachers (Ukraine) on the Google-forms platform took part in the survey. It has been highlighted that the basic differences between the theory and practice of the implementation of inclusion and universal design are as follows: inclusion is more difficult to apply in practice; design needs clarification of some practical concepts. It has been determined that the most common methods of involving into the implementation of universal design are manifestation of enthusiasm, providing examples and feedback to students; representation through class discussions, laboratory experience and images; group discussions in the classroom, projects, workshops and tests. It has been noted that UD can be used to create educational applications in order to adapt the learning space to the needs of the student (elements of physical spaces and instructions in order to make them more accessible, useful, and comprehensive).
Attribute-aware Explainable Complementary Clothing Recommendation

Modelling mix-and-match relationships among fashion items has become increasingly demanding yet challenging for modern E-commerce recommender systems. When performing clothes matching, most existing approaches leverage the latent visual features extracted from fashion item images for compatibility modelling, which lacks explainability of generated matching results and can hardly convince users of the recommendations. Though recent methods start to incorporate pre-defined attribute information (e.g., colour, style, length, etc.) for learning item representations and improving the model interpretability, their utilisation of attribute information is still mainly reserved for enhancing the learned item representations and generating explanations via post-processing. As a result, this creates a severe bottleneck when we are trying to advance the recommendation accuracy and generating fine-grained explanations since the explicit attributes have only loose connections to the actual recommendation process. This work aims to tackle the explainability challenge in fashion recommendation tasks by proposing a novel Attribute-aware Fashion Recommender (AFRec). Specifically, AFRec recommender assesses the outfit compatibility by explicitly leveraging the extracted attribute-level representations from each item's visual feature. The attributes serve as the bridge between two fashion items, where we quantify the affinity of a pair of items through the learned compatibility between their attributes. Extensive experiments have demonstrated that, by making full use of the explicit attributes in the recommendation process, AFRec is able to achieve state-of-the-art recommendation accuracy and generate intuitive explanations at the same time.
Implementation of simple additive weighting methods and non-linier trend methods in mapping of flood protected areas: A case study sub-DAS Bengkulu Hilir

This research aims to build a geographic information system that can map the level of flood-prone areas around Sub-DAS Bengkulu. To determine the flood prone areas are used four (4) parameters i.e. riverbank, high ground class, rainfall and settlement using Simple Additive Weighting method and using Trend Non Linier forecasting method. The resulting outer area of the flood map is calculated from The Simple Additive weightingmethod. For five (5) years, from 2014 – 2018 there are 267 data entering intermediate clustering , 477 of data entering low clustering and the latter there are 35 data that enters high clustering . In addition, there is also an external result of prediction Chart of the highest Trend Non Linier in 2021 of 2.3809, in 2022 for 3.14841, in 2023 for 4.04413, in 2024 for 5.06803, and in 2025 for 6.22014.
EDUCATIONAL SUPERVISION: A THEORETICAL PERSPECTIVE

The concept of educational supervision has passed through several developmental stages and has now been conceived in a more democratic outlook.In the present period of Information technology (IT), which has now revolutionized the whole education process, supervision becomes a major instrument to ensure quality and to develop the standard of education.Presently, the scope of educational supervision is widened to comprehend the functions of an educational institution in the role of supervisors, upgrading the institution to facilitators in the process.The purpose of this paper is to study the different theoretical aspects contributing to this modern concept of educational supervision.In this paper, the researcher discusses educational supervision with respect to its objectives, types and functions.This will throw light on the theoretical perspectives of modern educational supervision.
Secure Authentication in Cloud Computing using Diffie Hellman and One Time Password

Cloud Computing is the delivery of various computing services on Internet. These services include data storage, servers, databases, networking, software and analytics. Although cloud computing is a boon to the Information technology, there are certain issues which needs to be tackled. The biggest issue is that of cloud security. The user data needs to be protected from unknown parties. Different types of encryption schemes and authentication techniques are used to tackle the issue of cloud security. The encryption schemes are- Homomorphic Encryption and Homogeneous Encryption. In this paper, we have used a symmetric key algorithm- Diffie Hellman along with One time password (OTP) for authentication which gives more security to the user data.
취업모의 일의 의미와 자녀수반자기가치가 경력몰입에 미치는 영향 - 일‧가정 상호관계의 매개효과를 중심으로 -

The purpose of this study is to resolve the factors that affect happiness levels and l Considering the increasing importance of maintaining and developing the careers of working mothers, this study sought to analyze the effect of the meaning of work (MOW) and child-based self-worth (CBSW) on the work–family interface and career commitment. This is the first exploratory study to examine MOW and CBSW as resources for working mothers. For 10 days, starting August 18, 2020, 309 working mothers were asked to complete a questionnaire commissioned by a professional research institute, and 250 valid samples were then analyzed. The analysis found, first, that MOW had statistically significant positive effects on work–family enrichment and family–work enrichment and a negative effect on work–family conflict. Second, CBSW had a positive effect on work–family and family–work conflicts. Third, work–family enrichment had a positive effect on career commitment, while work–family conflict had a negative effect on career commitment. Finally, the mediation effects of the three paths were determined: MOW→work–family enrichment→career commitment; MOW→family–work enrichment→career commitment; CBSW→work–family conflict→career commitment. These results suggest that, to better manage the career commitment of working mothers, attention should be paid to the MOW, CBSW, and work–family interface.
LibGuides: TigerHow: Set Up Email, Blackboard and Banner Web (Distance Education): SCTC Student Email Lookup App: Receiving Email and Username

Learn how to set up and log into email, Blackboard and Banner Web. SCTC Student Email Lookup App: Receiving Email and Username
Optimalisasi Kompetensi Menulis Argumentasi Berbasis Problem Based Learning

Optimization of Competency in Writing Argumentation Based on Problem Based Learning. This study aimedto determine the aplication of the method of problem based learning in improving the abiliti to write argumentation clas X IPA 4 students of SMA N 2 Sukoharjo. The subject in this study were study were students of class X IPA 4 SMA N 2 Sukoharjo totaling 35 people and the objects in this study were writing competence, studen learning activities and student responses. The dat were colleted by observation, testing and questions. This research uses descriptive qualitative method. The results of this study are know the steps used to apply the problem based leaning model in improving the competence of writing paragraphs of student argumentation.
Action Units Recognition Using Improved Pairwise Deep Architecture

Facial Action Units (AUs) represent a set of facial muscular activities and various combinations of AUs can represent a wide range of emotions. AU recognition is often used in many applications, including marketing, healthcare, education, and so forth. Although a lot of studies have developed various methods to improve recognition accuracy, it still remains a major challenge for AU recognition. In the Affective Behavior Analysis in-the-wild (ABAW) 2020 competition, we proposed a new automatic Action Units (AUs) recognition method using a pairwise deep architecture to derive the Pseudo-Intensities of each AU and then convert them into predicted intensities. This year, we introduced a new technique to last year's framework to further reduce AU recognition errors due to temporary face occlusion such as hands on face or large face orientation. We obtained a score of 0.65 in the validation data set for this year's competition.
대학생이 지각한 가족건강성이 자기효능감에 미치는 영향 - 성취동기를 매개변인으로 -

Abstract : The purpose of this study is to reveal how the family health affects the development of self-efficacy in undergraduate students, and how the achievement motivation plays a mediating role in the development of self-efficacy through the family health. For the study, a survey was conducted on 518 undergraduate students, freshmen to seniors attending the university located in the city M. The collected data was subject to the percentage and frequency analysis, correlation, hierarchical regression analysis, simple regression analysis, and multiple regression analysis using SPSS 23.0. As the measurement tools, the family health scale developed by Yoo Young-Ju (2013), the self-efficacy scale developed by Kim Ah-Young(1997), and the accomplishment motivation scale developed by Kang Sung-Eun(12013) were used. The findings of this study are as in the following. First, the university students more highly perceived the family strengths than the achievement motivation and self-efficacy. Second, all the subfactors of family strengths, self-efficacy, and achievement motivation had significantly positive correlations. Third, in case of family strengths of university students, when the family resilience and qualitative fellowship were higher, there was the family culture. When the opportunity of social participation was higher, the self-efficacy was influenced. In case of achievement motivation, the hope, adventurous spirit, and confidence had effects on the self-efficacy. Fourth, the achievement motivation worked as a complete mediating variable on the effects of family strengths on the self-efficacy. In the results of this study, it would be necessary to put efforts to help the development of family strengths and self-efficacy of university students, and also to improve their achievement motivation as a mediating variable.
ANALISIS VARIASI PENYUDUTAN ARAH SINAR TERHADAP PERBEDAAN INFORMASI ANATOMI PADA PEMERIKSAAN WRIST JOINT METODE RAFERT-LONG

ANALYSIS OF SINAR DIRECTION VARIATION ON ANATOMIC INFORMATION DIFFERENCES IN WRIST JOINT EXAMINATION OF RAFERT-LONG METHODAmalia Nur Aini Kusnanto1)Edy Susanto, SH, S.Si, M.Kes2)ABSTRACT Background : Research has been carried out on the analysis of variations in the angular direction of the beam on differences in anatomical information on the wrist joint examination using the rafert-long method. The purpose of this study was to find out the results of the anatomical information on radiographic images and the most optimal angular direction of the beam axis to reveal the anatomy of the wrist joint in the Rafert-Long projection Postero Anterior (PA) and (PA) Axial method.Methods : This type of research is quantitative research with experimental research methods and with a descriptive approach. This data collection was conducted in February-May 2019 at the Radiology Laboratory of the Postgraduate School of Health Ministry of Health Semarang by questionnaire or questionnaire and documentation. The research subjects were probands and radiologists. The results of the radiolog questionnaire assessment data are processed using the calculation of the Likert scale formula then the data are grouped based on the angular direction of the beam so that it can be described and analyzed to draw conclusions.Result : The results of this study reveal the direction of the 00-ray axis can show bone (triquetrum, pisiform, hamatum) with a fairly clear description and capitatum bone with clear information. The direction of the 100 axis cephalad shows bones (lunatum, trapezium, trapezoid) with sufficiently clear information, distal ulna radius with very clear and proximal metacarpal information with clear information. The direction of the 300 cephalad beam axis shows the scaphoid bone with very clear information.Keywords: wrist joint, scaphoid, Rafert-Long method.1)Student of Radiodiagnostic and Radiotherapy Department of Semarang.2)Lecture of Radiodiagnostic and Radiotherapy Department of Semarang.
CHILD CARE OR CHILD SCARE: ENHANCING THE LEGAL REQUIREMENTS ON HEALTH AND SAFETY IN CHILD CARE CENTRES LAWS AND REGULATIONS IN MALAYSIA

Health and safety are the required legal requirements that need to be regulated in-laws and regulations of child care centres. These legal requirements are categorised as structural quality features which are often translated into laws and regulations in ensuring quality child care for children. This paper examines the question of whether the health and safety legal requirements necessitate improvements in the legislative framework of Malaysian child care. The laws and regulations in Malaysia on health and safety requirements as stated in the Child Care Centre Act 1984 and Child Care Centre Regulation 2012 are evaluated according to the relevant sections and regulations. Recommendations are made in enhancing laws and regulations in child care centres in Malaysia regarding health and safety. The qualitative method was used in this study using document analysis especially the related laws in Malaysia. Cross-reference to other jurisdictions’ laws and regulations such as Australia and Singapore was also conducted. In conclusion, enhancement on health and safety features need to be made especially with regards to knowledge on child protection law amongst child care providers, prohibition of employment, laws, and regulations on incidents, injury and trauma, and medicine and drugs administration.
COVID19 Outcome Prediction: Differences Between Raw Laboratory and Human Pre-Processed Data

Abstract Beyond health consequences, coronavirus disease 2019 (COVID19) has shown inadequacies and limitations of healthcare systems all over the world. Predictions of good and bad outcomes might improve lockdown and curfew policies and reduce the COVID19 health impact. We describe a multimodal machine learning (ML) approach through which we predict early hospital discharge and other key clinical outcomes as respiratory worsening, intensive care unit admission or the need of rescue therapy. Using this model, our hospital occupation might have decreased around 50% during the first wave of the pandemic. Our model used both, raw laboratory results (LR) and electronic health records (EHR), which allow a better anticipation of worsening through selective reporting of LRs. Thus, EHR models can be considered as a human preprocessing enhancing ML classification. Our approach may be a useful, customizable, and adaptable hospital resource management tool, especially to help interventions targeted at lowering COVID19 infection rates.
THE USE POWER POINT IN SPEED READING LEARNING

Abstract : This study is a theoretical study that aims to describe the benefits of the use of ICT, especially power point in learning to read quickly. The use of power point in learning to facilitate teachers and students in the presentation and study the learning materials. In addition, power point appeal to users because it has several advantages, which can be pasted pictures and audio-visual equipment. Power point can also be used as a medium to measure reading speed ratings. The program has several advantages, for example, can be run automatically, can be inserted pictures and audio visual equipment. Power point is not only used for the presentation of learning materials, but can also be used as a medium for fast reading assessment.
Face Recognition Using Livenessnet

Every person's face is unique, although have the same structure such as noise, eyes, lips, etc. but it can vary strikingly. It’s within this variance which lies in the distinguishing characteristics that can be used to identify one person from another. Face recognition is a popular concept which is commonly used in surveillance cameras at public places for security purposes. With the advancement of digital technologies, the demand for security to provide access control is increasing. It uses various methods of authentication to keep all details secure, such as a system focused on encrypted user name &amp; password, smart card, biometrics, etc. The “Face Recognition using DNN with LivenessNet” presents a face recognition method based on deep neural networks for liveness. Any algorithm is considered to be efficient only if it is robust and accurate. It provides accurate results with face spoofing quickly and efficiently. The main advantage of using this technique is identifying the uniqueness in the datasets by capturing the real-time face data through different modes &amp; jitter. It provides accurate face recognition model which can be used for safety and security purpose.