Reviewerly/exHarmony huggingface dataset:
Saudi Students’ Argumentative Essays from the Perspective of Theme-Rheme: An Analysis of the Misuse of Theme and Rheme

In this paper, I intended to analyze 14 Saudi students’ argumentative essays using the Theme-Rheme system. The system of Theme-Rheme is considered useful and has been utilized in analyzing students’ problems in L2 writing in many studies (Krisnawati, 2013; Wang, 2007; Setiawati, Hapsari, and Priyatmojo, 2017). This paper using the system of Theme-Rheme unraveled many problems Saudi students committed in their writing due to their misuse of the Theme and Rheme. Those problems were as follow: the problem of brand-new Theme, the problem of empty Theme, the problem of confusing selection of textual Theme and the problem of empty Rheme. However, not only are those problems, but also the researcher claims that the analysis revealed problems that were not found in other studies, to the best knowledge of the researcher; these problems were termed as follow: the problem of incomplete Theme due to either thematic equative or the misuse of nominalization, the problem of empty exemplificative device, the problem of double Theme and the problem of arranging Rheme. The analysis did not locate any problems in terms of constant thematic pattern and in terms of the problem of double Rheme. All the problems were found in the students’ essays have been illustrated along with discussions.
LibGuides: Capability Framework [V1]: Capability Framework

Supporting researcher-facing librarians to successfully deliver inside-out services and support. The capability framework version 1
무용과 과학 융합 STEAM 프로그램 개발과 적용사례 - 초등 고학년을 중심으로 -

In this study, the dance and science convergence STEAM program aims to create a shadow play through scientific knowledge and artistic experience. , developed as an 8-hour project for elementary school students, drew three research results as follows.First, it re-established the role of art in the convergence talent education (STEAM). Second, we found a positive aspect of the possibility of developing a dance and science convergence program, which had few opportunities for convergence. Third, the composition and principle of the dance and science convergence program were created.In this way, the program should be structured so that art and science function as tools for each other, and it can be expected that creative talent can be nurtured through virtuous cycle learning in this process. We look forward to continuing interest and research for the development and spread of STEAM program development.
Impact Assessment of Project: Provision of Laptops to the Students of Public Sector Universities of Punjab (Pakistan)

Government of the Punjab (GOP) initiated a development project through which two hundred thousand (200,000) laptops were provided to meritorious students in two phases of the project along with free of cost on campus access to internet facility to cope with the challenges of the digitization brought about by the spread of Information and Communication Technology. The rationale behind the project was enhance the IT skills of students and to help students overcome the obstacles in the way of learning and professional growth in the modern times. It was envisaged that the laptops will improve the IT skills along with improvement in grades and outcomes of students’. At completion, the project was evaluated for assessment of outcomes and impact of the project on the beneficiaries. Moreover, the qualitative aspect of scheme was also analyzed, in terms of quality of laptops, warranty support, quality of internet connectivity, laptop distribution on merit and etc. Questionnaire was developed covering all the aspects of the project. Data was collected online from 3600 sampled students through Google form on a broad based methodology. Based on the data analysis, positive outcomes were observed almost in almost all quantitative and qualitative indicators defined for this evaluation. Detailed conclusions and recommendations are given in the last section of the paper.
DIAGNOSTICS OF FORMATION OF COMMUNICATIVE UNIVERSAL LEARNING ACTIONS OF PRIMARY SCHOOL CHILDREN IN INCLUSIVE PRACTICE

This article presents the results of a diagnostic observation of the formation of communicative universal learning actions of primary school children in inclusive practice. The article defines the terms “diagnostics” and “communicative universal learning actions” as key research concepts; demonstrates the development of simulators for the diagnostics of communicative universal learning actions in pupils of grade 1; presents the characteristic of the level of formation of communicative universal learning actions of elementary school children and the dynamics of their progress in mastering communicative universal learning actions (KUUD). In the study, the following methods were used: analysis of psycho - pedagogical literature; entrance and final testing; and quantitative and qualitative processing of experimental data. Diagnostics of the level of formation of communicative universal learning actions was carried out at two stages: entrance and final testing. The stage of entrance diagnostics was carried out in order to identify the level of formation of communicative universal learning actions at the beginning of the school year and made it possible to single out a group of children with learning difficulties. The final diagnostics was carried out at the end of the school year and allowed tracking the dynamics of the progress of students in the course of purposefully carried out training. The conclusions about the state of the formation of communicative universal learning actions in elementary school students in an inclusive environment are laid out in the article. As a result of the study, the levels of the formation of communicative universal learning actions in primary school pupils with the help of an express simulator were determined and a group of children with learning difficulties was identified. The use of express simulators to diagnose the formation of universal learning actions in school practice may be useful for primary school teachers.
Edge-Centric Intelligent Computing: Intelligence, Privacy and Applications

Nowadays, we have witnessed the explosion of data and devices in the areas of IoT and mobile computing. Moreover, we are facing more and more complicated computation tasks, serious privacy and security problems, and critical delay requirements. All these challenges call for the applications of edge computing to deploy computing resource closed to mobile users and the data source. In this talk, based on our own research results, we will mainly focus on the theory and platform implemenation of edge intelligence, including online intelligence, distributed intelligence, as well as the privacy and security issues involved. We will also elaborate our current progress in the key applications of our odge platform such as Automatic Driving and AIoT Security.
Misinformação, desinformação e ações de informação: competência crítica e materialidade de processos na construção de enunciados

[Introduction] Considering the current context of digital and network technologies, is objectified to understand material aspects related to disinformation and misinformation within the scope of information actions as a subsidy for the promotion of critical information skills. [Methodology] To that end, a mapping was made out about the topics of misinformation and disinformation, as well as a literature review, considering complementarily other concepts/procedures such as critical information literacy and information actions. [Results] In this direction, it was considered, in theoretical terms, the relevance of the subjects of need of information situations, within the scope of the information actions, proposed by Wersig and Windel (1985), in order of pointing out ways for, in studies future, if it elucidates validation processes that can evidence the formation of materiality in processes of institutionalization of the statements, as well as allowing interventions that consider critical competence in information. Through this approach, it is expected to contribute by establishing a relationship between the “treatment process” of an information problem/situation and the attribution of materiality to statements, also as disinformation or misinformation. [Discussions/conclusions] It is understood that, considering this context, individuals can understand how the processes occur and what possible interventions should be taken before the process of institutionalizing statements. In this way, critical information literacy presents itself as an answer to avoid possible harmful impacts that the materiality of (dis/mis)information can cause, for example, in political, economic and social spheres.
Deep Neural Network Compression with Knowledge Distillation Using Cross-Layer Matrix, KL Divergence and Offline Ensemble

Knowledge Distillation is one approach in Deep Neural Networks (DNN) to compress huge parameters and high level of computation associated with a teacher model to a smaller student model. Therefore, the smaller model can be deployed in embedded systems. Most of Knowledge Distillations transfer information at the last stage of the DNN model. We propose an efficient compression method that can be split into three parts. First, we propose a cross-layer Gramian matrix to extract more features from the teacher’s model. Second, we adopt Kullback Leibler (KL) Divergence in an offline deep mutual learning (DML) environment to make the student model find a wider robust minimum. Finally, we propose the use of offline ensemble pre-trained teachers to teach a student model. With ResNet-32 as the teacher’s model and ResNet-8 as the student’s model, experimental results showed that Top-l accuracy increased by 4.38% with a 6. 11x compression rate and 5. 27x computation rate.
ANALISIS REGRESI ROBUST DENGAN METODELEAST MEDIAN SQUARE(Studi Kasus : Jumlah Pengangguran di Provinsi Jawa Tengah Tahun 2018)

Linear regression analysis is a technique in statistics used to form model the relationship between the dependent variable with one or more independent variables. The method used to estimate parameters in regression analysis is Ordinary Least Square. Data processing often containing outliers which may have a major effect on the regression coefficient. One method used when data contains outlier is by the robust regression method. In this study, the robust regression used is Least Median Square method. The principle of this method is to minimize the residual median squared. This study aims to detect outliers in the data and compare the effectiveness of the Ordinary Least Square (OLS) and Least Median Square (LMS) methods in forming a regression model. Comparison of this method in terms of AIC and BIC value. The method that has smaller the AIC and BIC value, its meaning that the method is more effective in dealing with outliers. The case studies in this research are the number of unemployment, population density, minimum wages, number of job seekers, and job vacancies based on district/city, which were obtained through the website of Central Java Province BPS in 2018. The results of this study show that the Ordinary Least Square (OLS) method is more effective than the robust Least Median Square (LMS) method in overcoming outliers in the number of unemployed data in Central Java Province in 2018.
Realtime Video Tracking With Modified Lucas Canade With Optical Flow

Tracking the objects which are moving is very challenging and interesting area of research. Detection of moving objects and tracking can be done efficiently by optical flow algorithm. Optical flow is superior to all energy difference method. This is a robust algorithm. In this particular work, two different algorithms modified from traditional lucas canade is done. One is the conventional method, in which the flow vectors for each frame has to be found out and thus tracking the moving objects in illumination changes, in shadows and in complex background is possible. To improve the accuracy, a modification to get the highest correlation in Eigen values is added to the conventional method and is implemented. This helps to reduce the computation cost and supports to track on-time videos. The comparison of both methods is done. The tracking outputs are shown with the standard state of art method which is the ground truth result for this tracking. More information about the moving target is additionally found in the modified approach and the betterness of the algorithm is proved in MATLAB outputs and tested in Standard PETS dataset.
THE IMPROVEMENT ANDROID BASED INFORMATION SYSTEM AND SMS GATEWAY TO IMPROVE PMI DONORS

Researchers conducted research at PMI (Indonesian Red Cross) in Tegal City.After visiting PMI, the researchers found that PMI often held blood donor activities in various places.However, the efforts made are still unable to cover the blood needs that are needed each month.PMI has made efforts to send text messages manually to blood donors who have been donors before, but because there are thousands, so many are often missed.Therefore, an automatic sms system is needed, or often called an sms gateway based on existing donor databases, and data.that has been sent can be seen on android.The sequence of research methods, data collection, system analysis, problem identification, application design, application development and application implementation.With the existence of an Android-based information system and an SMS gateway, it certainly makes it very easy for PMI to raise blood donors, it can even increase the number of blood donors.With the Android-based information system and SMS gateway, it will certainly make it easier for PMI Tegal City to collect blood donors.This research succeeded in bringing in donors to donate blood regularly.
Perancangan Aplikasi Mobile E-Marketplace Rumah Kost (Studi Kasus : Kabupaten Karawang)

Karawang Regency is one of the industrial estates in West Java Province In addition,there are also many universities in Karawang Regency. The number of nomands in Karawang Regency until 2018 recorded 1.7 milion inhabitans. The nomands wo live in Karawang need a temporary residence or boarding house. During this time migrants in search of boarding house information by asking friends, asking the surrounding community and visiting one by one the location of boarding houses. This method is consiidered ineffective because it takes a lot of time to get the approciate boarding house information. In this study the authors made a mobile application E-Marketpalce boarding house in Karawang Regency. The system design method in this thesis research uses the Software Deplopment Life Cycle (SDLC) method with the waterfall model. This E-Marketplace mobile application was created using a bootstrap web platform, a programming language using PHP with a Codeigniter framework, Database Management System (DBMS) using MySQL and object-oriented modeling namely Unified Modeling Language (UML). The result of this study can be conclded that by making a mobile application E-Marketplace boarding house in Karawang regency that can help to facilitate boarding owners in marketing their boarding house.&#x0D; Keywords: E-Marketplace, Boarding House, Codeigniter.
Cross-Modal Domain Adaptation for Reinforcement Learning

Domain adaptation is a promising direction for deploying RL agents in real-world applications, where vision-based robotics tasks constitute an important part. Cur-rent methods that train polices on simulated images not only require a delicately crafted simulator, but also add extra burdens to the training process. In this paper, we propose a method that can learn a mapping from high-dimensional images to low-level simulator states, allowing agents trained on the source domain of state input to transfer well to the target domain of image input. By fully leveraging the sequential information in the trajectories and incorporating the policy to guide the training process, our method overcomes the intrinsic ill-posedness in cross-modal domain adaptation when structural constraints from the same modality are unavailable. Experiments on MuJoCo environments show that the policy, once combined with the mapping function, can be deployed directly in the target domain with only a small performance gap, while current methods designed for same-modal domain adaptation fail on this problem.
Investigation on Exploration in Teaching of Chemical Engineering

Chemical Engineering is one of the major courses that students must study in chemical chemistry or relative subjects, Due to the characteristics of many theoretical knowledge, abstract calculation and complex formulas, a teacher is difficult to teach students difficult learncourses. The questionnaire survey and results of 78 students in class 1,2, applied chemical technology of our school in 2016 were analyzed and studied.
Efficient Differentiable Neural Architecture Search with Model Parallelism

Neural architecture search (NAS) automatically designs effective network architectures. Differentiable NAS with supernets that encompass all potential architectures in a large graph cuts down search overhead to few GPU days or less. However, these algorithms consume massive GPU memory, which will restrain NAS from large batch sizes and large search spaces (e.g., more candidate operations, diverse cell structures, and large depth of supernets). In this paper, we present binary neural architecture search (NASB) with consecutive model parallel (CMP) to tackle the problem of insufficient GPU memory. CMP aggregates memory from multiple GPUs for supernets. It divides forward/backward phases into several sub-tasks and executes the same type of sub-tasks together to reduce waiting cycles. This approach improves the hardware utilization of model parallel, but it utilizes large GPU memory. NASB is proposed to reduce memory footprint, which excludes inactive operations from computation graphs and computes those operations on the fly for inactive architectural gradients in backward phases. Experiments show that NASB-CMP runs 1.2× faster than other model parallel approaches and outperforms state-of-the-art differentiable NAS. NASB can also save twice GPU memory more than PC-DARTS. Finally, we apply NASB-CMP to complicated supernet architectures. Although deep supernets with diverse cell structures do not improve NAS performance, NASB-CMP shows its potential to explore supernet architecture design in large search space.
Non-Contact Measurement of Respiratory Function for Judging the Effect of Respiratory Rehabilitation in Patients With SMID

Abstract Patients with SMID (severe motor and intellectual disabilities) have severe limb disorders and severe mental disabilities. More than half of their deaths are due to respiratory disorders. Therefore, respiratory rehabilitation is important. The effect of respiratory rehabilitation is generally determined by measuring respiratory volume and rate with an expired gas analyzer. However, the equipment is expensive and requires direct contact, making it difficult to use. The purpose of this research is to develop a non-contact measurement system for respiratory function to assess the effect of respiratory rehabilitation in patients with SMID. The proposed method detects respiration by depth change of the abdomen measured using a three-dimensional camera designed to identify body tremor /motion and respiration based on respiratory parameters and individually adapted parameters. Finally, we verify the rehabilitation effect of an RTX respirator on patients with SMID and the effectiveness of the proposed method in an experiment.
Deep Learning with Data Privacy via Residual Perturbation

Protecting data privacy in deep learning (DL) is at its urgency. Several celebrated privacy notions have been established and used for privacy-preserving DL. However, many of the existing mechanisms achieve data privacy at the cost of significant utility degradation. In this paper, we propose a stochastic differential equation principled \emph{residual perturbation} for privacy-preserving DL, which injects Gaussian noise into each residual mapping of ResNets. Theoretically, we prove that residual perturbation guarantees differential privacy (DP) and reduces the generalization gap for DL. Empirically, we show that residual perturbation outperforms the state-of-the-art DP stochastic gradient descent (DPSGD) in both membership privacy protection and maintaining the DL models' utility. For instance, in the process of training ResNet8 for the IDC dataset classification, residual perturbation obtains an accuracy of 85.7\% and protects the perfect membership privacy; in contrast, DPSGD achieves an accuracy of 82.8\% and protects worse membership privacy.
Leadership Behavior and Employees Job Satisfaction: Working for Organizational Success

Purpose: This study was designed to understand the relationship between leadership behaviors and employees job satisfaction at microfinance banks. It also shows how and to what extent these leadership styles affect job satisfaction.&#x0D; Design: The questionnaire was used to collect data from 290 employees of the Microfinance Bank. The convenient sampling was used to gather data. The literature indicates that there is a correlation among all proposed variables. Researcher applied regression and Pearson correlation to get the results.&#x0D; Findings: The results show that participative behavior and supportive leadership behaviors have significant and positive effect on employees’ job satisfaction in Micro Finance Institutions of Khairpur. &#x0D; Value: no doubt this study found that participative behavior has significant relationship with employees’ job satisfaction and in increase the work productivity, it develops the sense of equivalence in work, it also encourages the essence of employees’ role in decision making, in this regard employees like to help organisation in organizational success&#x0D; Practical implications: Results of this Research mean that participatory leaders can participate in role modeling by providing employees with interesting workplace activities to increase job satisfaction.&#x0D; Recommendation: The population used for the survey was limited to 14 branches of MFBs in the Khairpur area.. Therefore, this study can be extended to a variety of other commercial and noncommercial organizations. This helps researchers to fully understand leadership style and its impact on job satisfaction.&#x0D; Limitation: This study is limited to certain MFBs of Khairpur district.
THE EFFECT OF HAMBURGER STRATEGY TOWARDS STUDENTS’ WRITING SKILL IN RECOUNT TEXT AT THE FIRST GRADE OF MAN 4 KEDIRI

The aim of the research was to analyze whether Hamburger strategy was effective to be used in teaching writing recount text at the first grade of MAN 4 Kediri. This research was quantitative research approach, whereas the research design used was posttest-only control-design. This research used two classes which became experimental group (X MIA 2) and control group (X MIA 1). In experimental group was taught by using Hmaburger strategy, whereas control group was taught without Hamburger strategy. The instruments used in the research was written test. The procedure lasted 6 meetings and 1 meeting to do test. The result of t-test showed that: the mean score of experimental group (M = 74.1) was higher than control group (M = 69.12), and independent-samples t-test which values of the sig. 2-tailed was 0.3% or 0.003 and 0.003 &lt; 0,05. Thus, it could be concluded that Hamburger strategy was effective in teaching and learning of English writing recount text. This result suggests that the writing aspects which the students significantly outperformed were content, organization, vocabulary, language use, and mechanics.