Reviewerly/exHarmony huggingface dataset:
MANAJEMEN SUMBER DAYA MANUSIA UNIVERSITAS KUTAI KARTANEGARA

Education is a government effort to educate the people of Indonesia, as mandated in the opening of the Constitution 1945, Human resources education is an important factor for the success of an education that must be managed with the most, because with the management of human resources education this educational institution can produce quality graduatesto realize the quality of the college graduates are required a qualified HR lecturer through the management of human resources in the University of Kutai Kartanegara. Human Resource Management (MSDM) is managing recruitment, selection, awarding, efforts to maintain assessment and promotion of personnel to gain the welfare or sanction of the institutions. The research objectives are: (1) to describe the mechanism of HR recruitment. 2 To describe the efforts to increase HR capability. (3) to describe the HR career level. (4) to describe the welfare of human resources. (5) to describe the process of termination or termination of human resources at Kutai Kartanegara University. This method of research uses a case study method with a qualitative approach. Data collection techniques are conducted with; Interviews, observations, photography, and documentation. Data was analyzed by the interactive model Milles Huberman (1994), namely; Data collection, data reduction, display data, and conclusion. Data validity checks are conducted to test credibility, transferability, dependability and confirmability. The results of the study found (1) Therecruitment of resources lecturer in education and teaching is determined by the quality of lecturers. (2) Improving the resource capability of lecturers measured through performance. 3 Career Enhancement lecturer conducted with the implementation of college followers (4) Lecturers get guaranteed income, based on the performance report of lecturers (5) dismissal and sanctions system and award based monitoring, performance of lecturers using a written record system.
4 TH IR – IMPLICATIONS FOR HIGHER EDUCATION BY LOOKING AT THE USE OF MOBILE TEACHING DEVICES

Students and lecturers use mobile devices more and more and within a few years they will become indispensable tools in the classroom. Recent research clearly indicates that mobile devices such as smartphones, laptops and tablets are the tools of choice for students, scholars, teachers and lecturers. It will play a major role in teaching and learning, especially in higher education as the 4 th IR, the development of artificial intelligence and new ways of communication need to take their place in the classroom. The integration of these new technologies into the teaching and learning experience in the classroom will be dependent on effective pedagogical implementation and planning to be successful. Taking this into account, this paper explores the effect that mobile devices have in the classroom on the teaching and learning experience of the student. The advantages of the implementation of mobile devices must be weighed against the negative influence they may have. All of the participants in the study reported that they have access to and use mobile devices to access the internet to source information.
Evaluation of Likelihood of Measurement Model Based on Hough Transform for Global Localization

Probabilistic robotics uses Bayesian formulation to solve global localization. An example is Monte Carlo localization (MCL), which spreads particles uniformly over an environment. While KLD-sampling may adaptively decrease the number of particles as the localization proceeds, its first measurement update would take relatively long computation time. On the other hand, approaches that use Hough Transform may have computational advantage. But the way they vote and localize seem to be heuristically determined. In this paper, the method that combines both approaches is proposed. The proposed method computes likelihood of measurement model based on Hough Transform and uses MCL to localize robots. A simple simulated experiment suggests that the proposed method may compute the first measurement update faster than MCL with the usual way to compute likelihood, if particles are initially placed according to a grid on a pose space.
Cyber risk assessment in a post-IS1 world

Abstract Matthew Mackay CITP MBCS, Principal Consultant at Logiq Consulting, discusses how cyber risk assessments have changed following the withdrawal of Information Standard 1 (IS1) by the National Cyber Security Centre (NCSC) for use within government projects.
Am I getting my point across? Microstructure of English classroom discourses by Acehnese teachers

For English teaching practice, productive talks that spur students’ comprehension, creativity, and problem-solving ability are vital. This research aimed at finding out the spoken discourse based on six phases of microstructure in English classrooms. The data were obtained recordings and observations of two English teachers, chosen through purposive sampling, from Islamic senior high schools in Aceh. The data were concerned with the lexical density or the ratio of content to grammatical or function words within a clause. They were analyzed through thematic analysis which consists of five steps: data familiarization, code generation, theme search, themes revision, and theme definition. It was found that the total lexical density obtained by the first teacher in Class A was 63.66% and in class, B was 66.52%, while the second teacher in Class A was 71. 74% and in Class B was 68.12%. The second teacher 2 in Class A had a higher lexical density than the first teacher even though both of them are considered to produce a high lexical density of around 60-70%. The formality of spoken discourse of the two teachers shows that the first teacher produced 172.5 while the second teacher produced 184. It means that the second teacher's spoken discourse was more formal than the first teacher’s discourse. To analyze the utterances of teachers and to find the density of language used in the classrooms during the teaching and learning process is important because they implicitly inform whether the language used is understandable for the students or not.
Experience

&lt;p&gt;&lt;b&gt;The dominance of vision within the human sensory system, particularly in fields such as Architecture, has created an ocular-centric paradigm prevalent in Western architectural culture. “Experience” is an architectural design thesis that uses Virtual Reality (VR) design techniques to explore how we, as designers, can affect spatial presence by integrating other bodily senses within virtual environments. “Experience” integrates four senses, Vision, Audition, Kinaesthesia and Thermoception, as combined for exploration.&lt;/b&gt;&lt;/p&gt; &lt;p&gt;The relationship between the human senses, in particular thermoception, and the spaces we experience is the particular focus of this thesis. Juhani Pallasmaa’s theories of sensory fragmentation have been applied as an important critical theoretical approach. This study aims to determine the extent to which our less commonly simulated sensory functions can be used within VR design to experience virtual spatial qualities. Specifically, it introduces a physical thermal atmosphere around the VR user to alter spatial and sensory perceptions and create virtual atmospheres. The development of a real ‘spatialised’ heating environment allows the thermal qualities of virtual space to be perceived by the user.&lt;/p&gt; &lt;p&gt;In this context, space is defined as the experiential medium that situates itself within the bounds of a room. It is not of a fixed size, nor does it have fixed qualities. Instead, this research applies Henry Lefebvre’s ideas that the body creates space due to the relationship between the body’s deployment in space and its occupation of space.&lt;/p&gt; &lt;p&gt;Through theoretical reviews and James Turrell and Olafur Eliasson’s artwork analysis’, ‘Experience’ generates an understanding of spatial perceptions, human sensory experience and space. These understandings were then applied to the virtual environment through a range of computational design means. &lt;/p&gt; &lt;p&gt;The ideas of sensory fragmentation were then applied to a series of design experiments. Each sense was treated as its own sensory system fragment, which allowed a series of conceptual, and developed spatial, interventions to be created. Each spatial intervention provided unique insights into the independent sensory fragments, which eventuated in the design of the final holistic sensory experience.&lt;/p&gt; &lt;p&gt;The final sensory design, titled Sensationalising VR, results showed how sensory balancing must be achieved before implementing new sensory experiences. Thermoception, the body’s ability to detect magnitude and direction of temperature changes, proved to be a fragile sensory fragment that requires careful balancing when being engaged with other sensory stimuli in a VR setting.&lt;/p&gt; &lt;p&gt;The conclusions resulting from “Experience” suggests that the human sensory system’s visual bias can be usefully augmented; it can be shifted, altered and even removed by designers. The introduction of a spatial thermal atmosphere around VR users is shown to affect the perception of presence in that space.&lt;/p&gt;
Perancangan Sistem Informasi Supply Chain Management Pengadaan Barang Perlengkapan Penanganan Covid-19.

&#x0D; &#x0D; &#x0D; The Supply Chain Management Information System combines several business processes across organizations from the initial organization to the end user. In the procurement of raw materials, the procurement of Covid-19 takes time and causes inventory. With the Supply Chain Management Information System, it is expected to simplify the procurement process and minimize shortages of goods so as to speed up patient handling. This study resulted in the design of an SCM information system that uses the waterfall model software development method which is useful for helping the health industry get the flow of information, goods, and money because the related parties have been integrated with the designed system.&#x0D; &#x0D; &#x0D;
Automatic Extraction of Facial Regions using CLM for the Application of Face Recognition

Facial Image processing is an active research area which involves various applications such as face detection, face recognition, person identification and also demographic information collection that is age, gender and race from the face. In general, all these applications fall under either holistic approach or local approach. In holistic approach, the whole face image is used for further processing. In local approach, the face is divided into various blocks which may contains the facial regions like eyes, eye brows, mouth, nose, cheek and chin regions. In order to develop a robust algorithm against scale, illumination, pose and expression issues, a component based or part based approaches were developed. For component based approach, the extraction of various face parts needs an automatic method to crop the facial regions closest to the manual cropping. The method of automatically extracting various facial parts is addressed in this paper. The Constrained Local Model (CLM) approach is used to identify the facial landmarks which in turn used to segregate the different facial parts. The performance of proposed approach is evaluated by ground truth of the respective facial components. The correspondence between the automatic extracted facial regions and ground truth is evaluated by SIFT descriptor. Experimental results on matching manually cropped facial regions against automatically extracted regions show that the CLM approach achieves promising performance. The extraction of various facial region will be very useful in Face recognition.
Meta Analysis the Effect of School Based Intervention Toward Physical Activity on Body Mass Index

Background:The lack of physical activity and increasing time spent in sedentary behavior during childhood place importance on developing low cost and easy to implement interventions to increase physical activity in children.Researchers have identified schools as a strategic place to promote physical activity.The purpose of this study was to investigate the effect of school based intervention toward physical activity on body mass index among high school students.Subjects and Method: A systematic review and meta analysis was conducted by collecting articles from PubMed, ScienceDirect, and Google Scholar databases.The determination of selected articles based on eligible criteria using PICO: (1) Population= high school students with obesity, (2) Intervention= school based intervention for physical activity, (3) Comparison= no intervention, and (4) Outcome= body mass index.Keywords used "School-based intervention" AND"Physical activity" "AND "Obesity " AND "BMI" OR "Body Mass Index" AND "Randomized Controlled Trial".The inclusion criteria were full text and randomized controlled trial study.The articles were collected by PRISMA flow diagram.The selected articles were quantitatively assessed using Review Manager 5.3 Results: There were 8 studies included for meta-analysis.This study showed that school based intervention for physical activity lowered body mass index (Standardized Mean Difference= -0.22; 95% CI= -0.45 to 0.0 p= 0.005).Funnel plot did not show bias publication.Conclusion: School based intervention for physical activity lowers body mass index.
Discussion on the Construction of Campus Culture in the Environment of New Media based on Computer Network

In the computer network and new media environment, continuously strengthening the construction of campus culture in our country has a very important role and significance. It can not only promote the healthy development of students' thoughts and behaviors, but also enable them to complete the learning of relevant subjects and professional knowledge in a more convenient and efficient learning environment. This article first understands the current situation, connotation and significance of campus culture construction in our country under the computer network new media environment, and then further analyzes the main problems faced by our country’s campus culture construction under the computer network new media environment, and finally discusses further in this environment. The main methods and strategies to strengthen the construction of campus culture in our country.
Natural Language Inference: Detecting Contradiction and Entailment in Multilingual Text

Natural Language Inference (NLI) is the task of characterising the inferential relationship between a natural language premise and a natural language hypothesis. The premise and the hypothesis could be related in three distinct ways. The hypothesis could be a logical conclusion that follows from the given premise (entailment), the hypothesis could be false (contradiction), or the hypothesis and the premise could be unrelated (neutral). A robust and reliable system for NLI serves as a suitable evaluation measure for true natural language understanding and enables the use of such systems in several modern day application scenarios. We propose a novel technique for the NLI task by leveraging the recently proposed Bidirectional Encoder Representations from Transformers (BERT). We utilize a robustly optimized variant of BERT, integrate a contextualized definition embedding mechanism, and incorporate the use of global average pooling into our proposed NLI system. We use several different benchmark datasets, including a dataset containing premise-hypothesis pairs from 15 different languages to systematically evaluate the performance of our model and show that it yields superior results.
Wordplay “Loss” in Translation:

Wordplay can be described as the way of making or using words to create additional meaning for some purposes. Using a qualitative approach, this study discusses the wordplay translation in literary work especially in dystopian fiction using Delabastita’s translation techniques of wordplay. The data derived from a novel entitled The Handmaid’s Tale by Margaret Atwood as the source text and its subsequent translation in Bahasa Indonesia entitled The Handmaid’s Tale – Kisah Sang Handmaid as the target text. From 50 data retrieved, the result shows that the most frequently applied technique in wordplay translation is Wordplay to Non-Wordplay that appears 25 times or 50%. The result of this study illustrates that the translation of wordplay in this literary work tends not to preserve the author’s style of writing but one of the author’s intended meanings.
Text vs. Image: An application of unsupervised multi-modal machine learning to online reviews

Online user-generated reviews provide a unique view into consumer perceptions of a business.Extant research has demonstrated that text mining provides insight from textual reviews.More recently, we haven seen the adoption of image mining techniques to analyze visual content as well.With data comprising of user-generated imagery (UGI) and textual reviews, we propose to perform a combination of text-and image mining techniques to extract relevant attributes from both modalities.The analysis allows for a comparison between textual and visual content in online reviews.For the UGI analysis, we use a Deep Embedded Clustering model and for the User Generated Text Analysis we use a TF-IDF based mechanism to obtain attributes and polarities.The overall goal is to extract maximum information from text and images and compare the insights we gather from both.We analyze if any modality is self-sufficient or better than the other and also if both modalities combine to give similar or contrasting insights.
Groundwater Geochemistry in El-Gallaba plain, Western Nile Valley, Egypt

The groundwater is considered as the main source for all proposes in El-Gallaba plain.Recently, the study area is a part of the Egyptian government development plan.This plan relates to concerned with the opening of Benban solar power station, which is considered as one of the largest solar power stations in the Middle East.The success of these strategies depends on the availability and reliability of basic hydrogeological, hydrologic and geochemical data.The groundwater tapping the Quaternary aquifer in the study area varies from fresh to brackish water types.Groundwater with low salinity as well as major ion concentrations have been detected in the southern side of the study area due to the hydraulic connection and mixing with the recent meteoric water and the River Nile.The higher groundwater salinity is mainly attributed to the leaching and dissolution as well as the thick clay sheets interbedded the aquifer matrix.Five hypothetical salt assemblage have been detected reflecting the impact of rock-water interaction and mixing processes on the groundwater quality.Based on the concentration of the dissolved trace and minor elements in groundwater, the aluminum concentration is less than the standard limits for human drinking (0.2 ppm) according to the world Health Organization for drinking water quality (WHO 2007).The recorded boron and iron concentrations are marginal to the standard limits recommended for drinking and short-term for irrigation.All groundwater samples have manganese and zinc concentrations less than both drinking water and irrigation limits guidelines.Based on the results of the analyses of the major, minor and trace elements, the majority of groundwater in the study area is suitable for direct use irrigation, while it needs treatment when used for drinking purposes.
PEMANFAATAN APLIKASI ONLINE DALAM PEMBELAJARAN JARAK JAUH DAN DAMPAKNYA TERHADAP PENCAPAIAN KOMPETENSI MULTIMEDIA DI SMKN 1 KOTA JAMBI

This study aims to explain the use of online applications in distance learning and its impact on the achievement of multimedia competencies at SMKN 1 Jambi City. This study uses a qualitative method with phenomenological research. For data collection conducted, interviews and documentation. To analyze the data consists of three activity lines simultaneously, namely data reduction, data presentation, and drawing conclusions.The results of observing can be concluded in class X-1 and X-2 are able to adapt using online applications in online learning. Meanwhile, grades XII-1, XII-2, and XII-3 have gotten used to online applications provided by schools in online learning. Furthermore, the results of interviews from 10 informants and 15 questions became the basis for in-depth data sources on the phenomena that occurred based on experts that distance learning was learning independently by utilizing online applications as a medium in honing skills and communication tools online learning.
Breach Geometry Studies Using Depth Detection Technology

The use of a 3D Scanner allowed the acquisition of dam breach geometry on a physical model.This technique is widely used in interactive movement entertainment and was adapted for this study's aims.The conceived apparatus collected breach geometry from a physical model built to evaluate a channel's cascade dam break.The 3D Scanner mapped breach surfaces and allowed the input on image processing software to generate its digital surface and elevation contours, reducing measurement errors since it is a non-contact method.An apparatus was then developed to enable accurate scanning since this feature's original function was motion detection.The apparatus consisted of a platform assembled on rails, installed over channel walls, supporting a Kinect II (Microsoft Corporation ® 3D Scanner), connected to a notebook.
Supplemental Material for Developmental Profiles of Reading Fluency and Reading Comprehension From Grades 1 to 9 and Their Early Identification

This study examined developmental profiles of reading fluency and reading comprehension in Grades 1 to 9 (ages 7 to 15) in a large Finnish sample (N = 2,518).In addition, early predictors of the profiles were analyzed with respect to kindergarten cognitive skills (phonological awareness, letter knowledge, rapid automized naming [RAN], number counting, word reading, vocabulary, and listening comprehension), parental factors (level of education, reading difficulties), and gender.Four different profiles of reading fluency and reading comprehension development were identified using latent profile analysis.These comprised one profile with persistent reading difficulties across the grades, one with early poor reading skills but with a resolving tendency, one with average reading skills, and one with good readers who started with very high reading fluency but scored average over time.Of the kindergarten measures, parental reading difficulties, being male, low paternal level of education, slow RAN, difficulty in reading easy words, and low scores in phonological skills, letter knowledge, number counting, and vocabulary predicted reading difficulties.The children belonging to the profile with the resolving tendency showed an increased rate of family risk and multiple cognitive deficits but managed to resolve their reading difficulties.Being female, and good number counting and vocabulary skills predicted a tendency to resolve early reading difficulties.The results confirm the previous findings on the early predictors of reading difficulties and add to the literature by identifying skills that predict resolving patterns.