Reviewerly/exHarmony huggingface dataset:
DESIGN OF WEB BASED ACADEMIC INFORMATION SYSTEM IN MADRASAH IBTIDAIYAH NURUL FALAH DEPOK

The Covid-19 pandemic requires adaptation to the New Normal in its application. Madrasah Ibtidaiyah Nurul Falah Depok designed a web-based application to bridge this so that information about students reaches their parents without having to come to school. With internet media intermediaries, of course, the process of delivering information will be faster, the System Development Life Cycle (SDLC) Model in the development of academic information systems that the author uses in designing a good system is the Waterfall model. The proposed database design is Entity Relationship Diagram (ERD) and Logical Record Structure (LRS), for system design using Unified Modeling Language (UML). Data collection techniques were carried out by observation, interviews and literature study. With the design of a web-based academic information system at MI Nurul Falah, it is hoped that the process of delivering information will be more effective and efficient, so that school residents, especially students and teachers, can find out the information available anytime and anywhere. The development of technology is very fast and in the midst of the Covid-19 pandemic, it is hoped that the use of this application will be one of the solutions in helping schools to convey the assessment of students at Nurul Falah Ibtidaiyah Madrasah.
The Heterodox Turn in Emerging Markets and Its Consequences

Abstract It has been a dismal 10 years for emerging markets, with slower growth and worsening macroeconomic imbalances. Given that the decade started with enthusiasm about BRICS (Brazil, Russia, India, China, and South Africa) and a potential decoupling of emerging markets from the crisis-ridden advanced economies, this is a sharp reversal of fortune. To better understand what went wrong, this article explores three case studies, Brazil, South Africa, and Turkey, all of which fared well in the 2000s but backslid in the 2010s. In each case, there were marked changes in macroeconomic policy, away from mainstream economics and toward a “developmental” approach, relying on expansionary policy and a larger role for the state. These experiments failed, most immediately through unsustainable borrowing and higher inflation, as well as by fomenting large-scale corruption. Although the 2010s were always likely to be more difficult than the 2000s, given slower global growth, unforced policy errors are important for understanding the scale of emerging market underperformance.
The Acquisition of Vocabulary through Negotiated Interaction with AI Chatbots

This study explores how learners acquire vocabulary through chatbots according to interactive task type. Two groups were created: 1) the balanced group which performed a responsive interaction task and a proactive interaction task and 2) the input-based group which only performed two responsive interaction tasks. During the responsive interaction task, learners took on the role of target word receiver while interacting with a chatbot. For the proactive interaction task, the roles of chatbot and learner were reversed. Based on the topic “Where is the post office?”, an interactive chatbot was designed, learner and chatbot interaction data was analyzed, and the results of the two groups’ post and delayed tests were quantitatively compared in terms of vocabulary acquisition. The following conclusions were drawn. First, different types of negotiation were observed depending on task type. Second, both groups effectively acquired receptive vocabulary knowledge. Lastly, the learners effectively acquired productive vocabulary knowledge. The balanced group outperformed the input-based group in the acquisition of productive knowledge because the output element for target vocabulary in the proactive task affected its effectiveness. This study shows the potential for chatbots to be used as learning tools for vocabulary acquisition as well as speaking or writing practice tools.
Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios

In medicine or industry, the analysis of high-dimensional data sets is increasingly required. However, available technical solutions are often complex to use. Therefore, new approaches like immersive analytics are welcome. Immersive analytics promise to experience high-dimensional data sets in a convenient manner for various user groups and data sets. Technically, virtual-reality devices are used to enable immersive analytics. In Industry 4.0, for example, scenarios like the identification of outliers or anomalies in high-dimensional data sets are pursued goals of immersive analytics. In this context, two important questions should be addressed for any developed technical solution on immersive analytics: First, is the technical solutions being helpful or not? Second, is the bodily experience of the technical solution positive or negative? The first question aims at the general feasibility of a technical solution, while the second one aims at the wearing comfort. Extant studies and protocols, which systematically address these questions are still rare. In this work, a study protocol is presented, which mainly investigates the usability for immersive analytics in Industry 4.0 scenarios. Specifically, the protocol is based on four pillars. First, it categorizes users based on previous experiences. Second, tasks are presented, which can be used to evaluate the feasibility of the technical solution. Third, measures are presented, which quantify the learning effect of a user. Fourth, a questionnaire evaluates the stress level when performing tasks. Based on these pillars, a technical setting was implemented that uses mixed reality smartglasses to apply the study protocol. The results of the conducted study show the applicability of the protocol on the one hand and the feasibility of immersive analytics in Industry 4.0 scenarios on the other. The presented protocol includes a discussion of discovered limitations.
THE EXPERIENCE OF DISTANT TEACHING CHEMISTRY TO THE USMU STUDENTS DURING THE LOCKDOWN

The introduction of distance technologies in the educational process is a critical task at all levels of education, and in the higher education system as well. The complexity of implementing such technologies at a medical university is associated with the practical orientation of most disciplines, in other words, with the necessity of the formation of practical skills of the students. Before the lockdown regime, full-time students had the remote access only to tests or some recorded video-lectures and video-consultations posted on the university educational portal along with other materials of the academic and methodological complex. The paper describes the educational experience of distant teaching Bioorganic Chemistry to the students of the Ural State Medical University during the 2020 coronavirus pandemic, taking into account technical capabilities and resources that were available in this period. The paper presents the positive and negative consequences of replacing face-to-face lectures with the video-format. The authors analyzed the technical capabilities of free web services for their use when organizing the educational process. The paper specifies the main difficulties when giving chemistry practical classes on the ZOOM on-line platform and describes the students’ behavior patterns during such studies. The authors compared and analyzed the results of midpoint assessments carried out in full-time and distance forms, as well as the learning outcomes of the past and current academic years. The paper presents the student survey data on the satisfaction degree of distance learning. The authors conclude on the impossibility of the equivalent replacement of full-time chemistry education with distant teaching.
A compact FPGA-based montgomery modular multiplier

&lt;span&gt;This paper presents the FPGA-based implementation of compact montgomery modular multiplier (MMM). MMM serves as a building block commonly required in security protocols relying on public key encryption. The proposed design is intended for hardware applications of lightweight cryptographic modules that is utilized for the system on chip (SoC) and internet of things (IoT) devices. The proposed design is a modification in the structure of MMM without any multiplication or subtraction processes. The main target of the new modification is enhancing the performance and reducing the area of the MMM hardware module. The operands and internal variables of the proposed hardware circuit is optimized to be bounded to the smallest efficient size to minimize the area and the critical path delay. The proposed design was coded in VHDL, implemented in the Virtex-6 FPGA, and its performance was analyzed utilizing XILINX ISE tools. Our design occupies the smallest area comparing with other implementations on the same FPGA type. The proposed design saves in a range between 60.0 and 99.0% of the resources compared with other relevant designs.&lt;/span&gt;
Educators’ effectiveness depending on their types of psychological innovative readiness

This article investigates the relationship between the effectiveness of educators’ work and their predominant type of psychological innovative readiness. Terms “innovation” and “psychological innovative readiness” are seen from the point of view of Vladimir Myasishchev’s Theory of Relations and Joseph Schumpeter’s Business Cycles. In addition to the basic experimental hypotheses, this study also tests the assumption regarding the variable efficiency of labour incentives. The history of labour incentives for educators cannot be considered separately from the psychological aspects of educators’ professional activities. In the Russian Federation, the study of the relationship between the administrative and financial aspects of teachers’ activities and their effectiveness in the context of innovative transformation has become especially relevant since 2012, when addenda to labour contracts — the so-called “effective contracts” — were introduced into educational institutions. These effective contracts prescribed additional criteria for educators’ activities, aimed at increasing their efficiency in the context of innovative transformation, i. e. the introduction of new educational standards, new information and communication technologies and organizational changes. Based on Myasishchev’s Theory of Relations, a new understanding of psychological innovative readiness is proposed. Its novelty stems from (1) its structural positioning within employee’s relation framework: their relations to the image of their professional activities, their competence and role; and (2) the investigation of each type of innovative readiness in terms of Schumpeter’s Business Cycles. The object of the study was a team of educators that worked under externally driven innovation conditions for three academic years. The results of the study revealed the relationship between the dominant type of teacher’s psychological innovative readiness and their effectiveness in a situation of systemic organizational changes, as well as an organizational and psychological profile of an effective innovator.
Flood Control of Semarang City Plumbon River, Central Java, Indonesia

Plumbon River in Semarang City often experiences flooding, even in 2017 and 2018 there were floods and evenoverflowed on flood dikes and existing parapets. The purpose of this study was to determine the magnitude of flooddischarge that occurred in the Plumbon River, to find out how high the flood occurred and how far floods startedfrom the estuary to the upper reaches of the Plumbon River and to find out how to handle the flooding that occurred.To calculate the flood plan using the Nakayasu Method to get the amount of flood discharge that occurs, with HecRas software to get flood height and far distance that occurs and determine how to handle the flood problems thatoccur. The results showed that the magnitude of flooding that occurred based on Q25 th = 43,379 m3 / dt and Q 50th = 55,239 m3 / dt, and the high flooding that occurred and overflowed on the embankment was as high as 1.00 ms /d 1.50 m along 3.20 km by handling sheet pile and parapet elevation.
PEMBUATAN VIDEO PRODUCT PROFILE MENGGUNAKAN ADOBE PREMIERE PRO CC SEBAGAI MEDIA PROMOSI PADA PERKY HEADWEAR MALANG

This research is intended to create product profile video as an addition of promotional media especially on social media instagram and also to know effectiveness of the video by using EPIC rate. The reasearch was an action research. Product profile video was created by Adobe Premiere Pro CC application. Data of the research was collected through observation and questionnaire to the experts, owner, and 15 respondents. For data analysis, researcher used EPIC rate as measurement scale. In this research, there were two cycles. The first cycle showed that product profile video was not good enough and should be continued to the next cycle. In the second cycle, questionnaire was distributed again to respondents and product profile video of Perky Headwear was declared suitable to publish. Product profile video of Perky Headwear obtained the value amounts 4.25, so this video is very effective category.
PROCESSO DE ENFERMAGEM APLICADO AO PACIENTE PORTADOR DE PÉ DIABÉTICO: RELATO DE EXPERIÊNCIA

This article aims to report the experience of applying the Nursing Process in a patient with diabetic foot. For this, descriptive methodology is used, in addition to the qualitative approach, the type of experience report. The activities are developed weekly, from Monday to Thursday, in the afternoon shift, with a workload of 5 hours. Data are collected in a Basic Health and Family Strategy Unit, located in the city of Vitoria / ES. Based on the theoretical assumptions of COFEN Resolution No. 358/2009, this research is organized in five stages: data collection, diagnoses, planning, implementation, and nursing assessment. As this is an experience report, there is no need to submit the study to the Ethics and Research Committee with Human Beings. However, the participants have voluntarily signed the Free and Informed Consent Form and the Image Use Authorization Term, guaranteeing the continuity of the study. The results show that, during the application of the stages of the nursing process, it is possible to observe the evolution of healing in the studied patient's injury, so that the nursing process plays an important role in the treatment of injuries in patients with diabetic foot.
MEMS Accelerometers Mini-Array (MAMA) - initial results and lessons learned

&amp;lt;p&amp;gt;Most operational earthquake early warning systems (EEWS) consider earthquakes to be point-sources and have difficulty providing imminent and robust source locations and magnitudes, especially at the edge of the seismic network or where seismic stations are sparse. Mini-arrays have the potential to estimate reliable hypocentral locations by beam forming (FK-analysis) techniques. They can also characterize the rupture dimensions and account for finite-source effects, leading to more reliable estimates of ground motions for large magnitude earthquakes. In the past, the high price of multiple seismometers has made creating arrays cost- prohibitive. Here, we present a setup of two mini-arrays of a new low-cost (&amp;lt;$150) seismic acquisition unit based on a high-performance MEMS accelerometer around conventional seismic stations. The expected benefits of such an approach include decreasing alert-times, improving real-time shaking predictions and mitigating false alarms.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;We will present our new 24-bit device details, benchmarks, and results from two MAMAs deployed at the UC Berkeley and Humboldt State University campuses. The new device shows lower noise levels than the currently available off-the-shelf 16-bit sensors, commonly used by several citizen-science projects (e.g. QCN, CSN, MyShake, etc.). This lower noise level enables us to record and process lower magnitude events. We show examples of back-azimuth calculations of M&amp;gt;=2.5 events at a range of &amp;lt;100km from the MAMA center and discuss some of the limitations and considerations of the MAMA deployments.&amp;lt;/p&amp;gt;
UKF ON LIE GROUPS FOR RADAR TRACKING USING POLAR AND DOPPLER MEASUREMENTS

This paper proposes a construction of the Unscented Kalman FIlter (UKF) in which the system state propagates on a Lie Group. It is presented a parametrization for 2D-radar targets on Lie group to tackle the ltering tracking problem. By assuming concentrated Gaussian distributions on Lie groups rather than the conventional Gaussian distributions in Euclidean space, it is shown that the presented parametrization is a better approximation to the curved-shape distribution of the position of moving targets with noise in the linear and angular speeds. The parametrization is applied to the proposed UKF on Lie groups and to an Extended Kalman Filter (EKF) on Lie groups found in the literature. The conventional UKF and EKF, in Euclidean space, were also implemented. The considered system dynamics is a constant linear speed and constant turn rate model adapted to a Lie group structure. The Discrete Lie Group UKF presented the best performance among the implemented lters.
Pemberdayaan Masyarakat di Wilayah Benda Baru Melalui Pelatihan Instalasi Listrik Rumah Tangga

The Community empowerment through an activity related to the provision of specific skills can support its independence. Technical training of simple home electrical installation is one form of Community Service (PKM) which contributes to supporting independence in the community, especially residents who live on Jln. H. Nurleman Benda Baru Pamulang, South Tangerang City. Training in the form of community independence for simple home electrical installations is taught through learning material related to electricity, K3, and the implementation of electrical installation practice using training modules that have been prepared. There is a curiosity about knowledge related to electricity, good understanding of knowledge, agility and skill in mastering the practice of electrical installations according to procedures, and having a cautious attitude in the installation of electrical installations will be the main capital for a person to be an entrepreneur. This can also be a solution for the lack of orderly installation of electricity in residential homes
Statistical characterization of tile decoding time of HEVC-encoded 360&amp;#xB0; video

In this paper, we present a statistical characterization of tile decoding time of 360&#xB0; videos encoded via HEVC that considers different tiling patterns and quality levels (i.e., bitrates). In particular, we present results for probability density function estimation of tile decoding time based on a series of experiments carried out over a set of 360&#xB0; videos with different spatial and temporal characteristics. Additionally, we investigate the extent to which tile decoding time is correlated with tile bitrate (at chunk level), so that DASH-based video streaming can make possible use of such an information to infer tile decoding time. The results of this work may help in the design of queueing or control theory-based adaptive bitrate (ABR) algorithms for 360&#xB0; video streaming.
Genetic Programming Approach for Classification Problem using GPU

Genetic programming (GP) is a machine learning technique that is based on the evolution of computer programs using a genetic algorithm. Genetic programming have proven to be a good technique for solving data set classification problems but at high computational cost. The objectives of this research is to accelerate the execution of the classification algorithms by proposing a general model of execution in GPU of the adjustment function of the individuals of the population. The computation times of each of the phases of the evolutionary process and the operation of the model of parallel programming in GPU were studied. Genetic programming is interesting to parallelize from the perspective of evolving a population of individuals in parallel.
Storybird-Based Narrative Writing Activities among Indonesian EFL Learners: Focusing on Contributions

The advancement of Information, Communication and Technology (ICT) has significantly affected English language teaching, such as the utilization of miscellaneous applications, social media and other digital platforms facilitating the learners to invigorate their language skills, notably L2/FL writing context. However, insufficient attention has been addressed to the contributions of employing storybird to the learnersâ€™ narrative writing activities. To fill this void, this study aimed at delineating the contributions of employing storybird to the Indonesian EFL learnersâ€™ narrative writing activities. Three Indonesian junior high school learners participated as research participants. The data were gathered through semi-structured interview and analyzed with Thematic Analysis (Braun &amp; Clarke, 2006). The findings designated that storybird (1) generated ideas for writing a story (2) facilitated to construct generic structure of English narrative texts (3) considered lexicogrammatical features of English narrative texts (4) produced English narrative texts joyfully and (5) wrote English narrative texts actively. Given these facts, storybird enables the learners to think creatively, provides them enjoyable learning experiences, brings their abstract thoughts to real life and guide them to communicate and collaborate effectively. Â
Emergency Button pada Helmet Proyek Berbasis IOT

The high number of work accidents in industrial areas and it is difficult to immediately follow up on work accidents or know the position of people who experience work accidents makes the authors come up with ideas to make an Emergency Button on the IOT-Based Project Helmet. Technically, when in an emergency, workers who use an emergency helmet can press the emergency button. When the emergency button is pressed, the microcontroller will respond to the trigger of the button and send a link with the host in the form of an IP from the server computer. The server computer receives emergency data from the emergency helmet, the server computer will display the data to the WEB interface, it is expected that the level of work accident emergency response at a company can be maximized and the death rate at work accidents can be minimized. Results of the Emergency Helmet Based on the layout of the position of the helmet unit and server unit, the distance between the helmet unit and router is ± 5m and ± 6m with a brick wall that limits the factory space and the control room is the server unit position.