Reviewerly/exHarmony huggingface dataset:
Bridging the Communication Gap Using DISC Theory of Leadership in the Hybrid Work Environment

The recent changes in work environment owing to the COVID 19 pandemic has made us rethink the utility of office space at a time when an exponential growth in the use of online platforms has been observed. With the flexibility of working space and timing, employees and the organizational heads have redefined work culture and the old adage of strict 9 to 5 job seems to have been completed changed. The current paper attempts to understand the four behavioral patterns of DISC exhibited by leaders in any work environment. It explains what are the four behavioral traits and how they influence communication. And in a hybrid work environment, with lot of flexibility in time and space, what steps are to be taken in order to make communication effective and avert miscommunication as half of the employees work offline while the other half works online.
HUMAN INTELLIGENCE ANALYSIS AND DETECTING SCENARIOS USING ARTIFICIAL INTELLIGENCE BASED ON HUMAN COMPUTER INTERACTION IN EDUCATION SYSTEM

It is different from the situation that people have just experienced normal information from general websites. Users of an educational web application for teaching as faculty and students need more communication with each other. That means they desperately need to communicate with mediators like computers and other resources. Therefore, research conducted on the design of human computers takes a huge amount of value. In this paper, a user model of Educational Web Application is concluded. The Web Application includes that Facial Recognition for login, attendance and to see the student’s behavior in the classroom by continuous monitoring. Knowledge trees and tests are designed for better understanding and to improve yourself in particular or all subjects. The aim of the paper is to develop a system to manage and maintain sentiments and detecting student’s behavior by humancomputer interaction. We propose a software framework to monitor boundaries, analyze them and support users to see how they interact in conversations or lectures and manage their emotions.
Secure Data Communication using Cryptography

Any type of digital information is called as data. In today's world, precarious data are growing and used in communication over internet. Hence, data security is most important factor for the internet users. The best solution is to use some cryptography algorithms which encrypts data in some cipher and transmit it over the internet and again decrypted to genuine data. Cryptography is eternal. The field of cryptography manages the technique for passing on information safely. The objective is to permit the expected recipients to get the message appropriately while interfere with snoopers from understanding the message. Key arrangement layout allows communicating parties to establish a mutual cipher key. The situation of present day of data security framework incorporates secrecy, legitimacy, trustworthiness, non-repudiation. This paper introduces a improved system for securing text-data communication benefiting the use of RSA algorithm. It is the public-key cryptosystem and is mainly used for secure data transmission[1].
Survey Analysis of Enhanced Oil Recovery (EOR) Laboratory towards Featured Research Laboratory

The EOR Research Laboratory is a laboratory that was independently pioneered by the Department of Petroleum Engineering UPN "Veteran" Yogyakarta. The EOR Research Laboratory needs to be improved especially for the existing spatial layout to support the ongoing and future research. This Institutional Research will cover the planning process of spatial layout design, spatial layout realization, internal and external EOR Research Laboratory socialization, and at the end of the study, effective and efficient governance will be applied to adapt to the current pandemic conditions. The method used in this research is quantitative in the form of socialization, questionnaires, and survey analysis to find out how EOR Laboratory is well known among students. This research is expected to be able to introduce the EOR Research Laboratory in a wider range and carrying out sustainable research in the future so that it will support the planning of the laboratory to be the Leading EOR Research Laboratory at the Department of Petroleum Engineering, UPN "Veteran" Yogyakarta.
IoT Enabled Discriminant Function Analysis and Deep Map Reduce Classification for User Behaviour Prediction With Big Data

Web usage mining is type of web mining activity with user access pattern discovery from several web servers. Many researchers carried out their research on frequent pattern mining for user behavior prediction. But, time consumption and space complexity were not minimized by existing methods. IoT enabled Discriminant Function Analyzed Deep Multi-Layer Perceptive Map Reduce Classifier (IoTDFADMLPMRC) Model is introduced to improve accuracy and to minimize time consumption during web user behavior analysis. IoT-DFADMLPMRC Model comprised one input layer, two hidden layers, and one output layer. Weblog files are collected using IoT devices and transmitted to hidden layer 1. In that layer, Discriminant Function Analyzed Preprocessing (DFAP) identifies linear combination of patterns that separate into relevant and irrelevant web patterns. After that, irrelevant web patterns are removed and relevant web patterns are transmitted to hidden layer 2. In that layer, Zijbendos Similarity Coefficient is used for finding frequently accessed web patterns. Finally, in output layer, user behavior gets analyzed based on similarity score with higher accuracy. Experimental evaluation of IoTDFADMLPMRC Model is conducted with weblog dataset from Kaggle on factors like prediction accuracy, error rate, prediction time, and space complexity with respect to number of weblogs.
Pengembangan Bahan Ajar E-book Pada Materi Siklus Akuntansi Perusahaan Jasa Sebagai Pendukung Pembelajaran Saintifik Kelas X Akuntansi Di SMK Negeri 2 Tuban

In the 2013 revised curriculum, teaching and learning activities require student to be more active in the learning process. In addition, teacher is required to have teaching materials that linked to technological advances that refer to basic competencies and scientific approach, adjusted for the student needs. This research aims to create a product in the form of an e-book for teaching materials and analyze the feasibility of e-book teaching materials about service company accounting cycle. This research used 4D model (define, design, develop and disseminate) that developed by Thiagarajan, Semmel, and Semmel, but this research is only carried out until the develop stage. The research instrument used by researchers in this article is an open poll which consists study sheet of media expert, graphic expert and linguist as well as enclosed that also consists validation sheet of media expert, graphic expert and linguist. The analysis technique used by the researcher consists of analysis of study sheets, which will be analyzed descriptively along with validation sheet analysis that will be analyzed using Likert scale as stipulation in the research provisions. The assessment results obtained from material expert by 89.51%, it has a splendid eligibility level. 92.66% from linguist and 96.01% from graphic expert are showing also a superior eligibility level. Thus, from the three components, it was obtained average of 92.72% with the splendid eligibility level. This research concludes that e-book, that has developed with a scientific approach, that contain service company accounting cycle material, is stated very worthy to be used in teaching learning activities.
Концептуальні засади формування культури безпеки професійної діяльності у майбутніх інженерів з охорони праці

International scientific conference «Modern European psychological and pedagogical education. The development of a creative learning environment» : conference proceedings, October 8–9, 2021. Łódź, the Republic of Poland : “Baltija Publishing”, 2021. 162 pages.
Bias in error-corrected quantum sensing

The sensitivity afforded by quantum sensors is limited by decoherence. Quantum error correction (QEC) can enhance sensitivity by suppressing decoherence, but it has a side-effect: it biases a sensor's output in realistic settings. If unaccounted for, this bias can systematically reduce a sensor's performance in experiment, and also give misleading values for the minimum detectable signal in theory. We analyze this effect in the experimentally-motivated setting of continuous-time QEC, showing both how one can remedy it, and how incorrect results can arise when one does not.
Infinite Time Horizon Safety of Bayesian Neural Networks

Bayesian neural networks (BNNs) place distributions over the weights of a neural network to model uncertainty in the data and the network's prediction. We consider the problem of verifying safety when running a Bayesian neural network policy in a feedback loop with infinite time horizon systems. Compared to the existing sampling-based approaches, which are inapplicable to the infinite time horizon setting, we train a separate deterministic neural network that serves as an infinite time horizon safety certificate. In particular, we show that the certificate network guarantees the safety of the system over a subset of the BNN weight posterior's support. Our method first computes a safe weight set and then alters the BNN's weight posterior to reject samples outside this set. Moreover, we show how to extend our approach to a safe-exploration reinforcement learning setting, in order to avoid unsafe trajectories during the training of the policy. We evaluate our approach on a series of reinforcement learning benchmarks, including non-Lyapunovian safety specifications.
Inventory of tontemboan vocabulary as a regional language protection

Tontemboan is a language spoken in parts of Minahasa and South Minahasa. Tontemboan is one of the regional languages in North Sulawesi. Tontemboan is one of the languages that are endangered if there is no effort in terms of language participation. The threat of extinction of the Tontemboan language triggers actions to keep from extinction, one of which is the inventory of the vocabulary of the language itself. This inventory is done with the aim of getting vocabulary in the language of the area that is focused on reduplication areas with thought if possible can enrich vocabulary Indonesian. In order to obtain a reduplication form in this language, data collection is carried out by library method and continued with the listening method, which is listening to the use of this language in everyday life by speakers of that language. This method is done in more detail using record techniques. In addition to listening to the use of language, there are also face-to-face interviews with speakers by asking or confirming the vocabulary/reduplication obtained. The instrument used in data collection in face-to-face interviews is to use Swadesh's vocabulary list that has been modified into a dimlication form.
Java Bytecode Control Flow Classification: Framework for Guiding Java Decompilation

Decompilation is the main process of software development, which is very important when a program tries to retrieve lost source codes. Although decompiling Java bytecode is easier than bytecode, many Java decompilers cannot recover originally lost sources, especially the selection statement, i.e., if statement. This deficiency affects directly decompilation performance. In this paper, we propose the methodology for guiding Java decompiler to deal with the aforementioned problem. In the framework, Java bytecode is transformed into two kinds of features called frame feature and latent semantic feature. The former is extracted directly from the bytecode. The latter is achieved by two-step transforming the Java bytecode to bigram and then term frequency-inverse document frequency (TFIDF). After that, both of them are fed to the genetic algorithm to reduce their dimensions. The proposed feature is achieved by converting the selected TFIDF to a latent semantic feature and concatenating it with the selected frame feature. Finally, KNN is used to classify the proposed feature. The experimental results show that the decompilation accuracy is 93.68 percent, which is obviously better than Java Decompiler.
Alexa, Please: Babysit My Child

According to the Statistics Canada report from 2019, when it comes to the amount of time spent online, Canada beats out every other country in the world. This has likely been amplified due to the stay-at-home order caused by the COVID-19 crisis, hence why the new Bill C-11 will strengthen the current policies defending Canadians from corporate digital overstep. Alexa, Please: Babysit My Child will explore, analyze, and evaluate Amazon's neuro-capitalistic technologies, specifically pertaining to the technologies made for child-use. Neuro-capitalism is dangerous as it speaks to controlling the mind through the current hyper-technological society. Jurisdictional complexity surrounding A.I. and cybersecurity can be mitigated by government-funded education. Therefore, my research explores the question: From a neuro-capitalistic &amp; digital-colonial standpoint, to what extent are Amazon's child-targeted technologies' (such as Kindle 4 Kids) consistent with the privacy policies of the new, proposed Bill C-11? This policy analysis will consist of three sections—first, an analysis of Amazon's Kindle 4 Kids Terms and Conditions (Site 1). Second, an evaluation of Bill C-11’s ability to protect children from the pernicious aspects of neuro-capitalism (Site 2). Lastly, a compare and contrast section of the two entities, ending with a discussion of the findings. Particularly during the COVID-19 crisis, we must be sure that the Government of Canada is doing everything in their power to aid the youth of the country that spends the most time online and the most time with their babysitter: Alexa.
Педагогічні цінності сучасного вчителя української літератури як основа професіоналізму

International scientific conference «Modern European psychological and pedagogical education. The development of a creative learning environment» : conference proceedings, October 8–9, 2021. Łódź, the Republic of Poland : “Baltija Publishing”, 2021. 162 pages.
Impact of ICT Adoption on Students Learning

Technology has occupied a prominent position across the globe.It has come in to stay but with its own advantages and disadvantages.For many ICT (Information and Communication Technology) has done more harm than good, particularly amongst the youth.This study investigates the adoption of information and communication technology and its impact on the student"s academic performance.Factors like availability, accessibility and user ability of ICT in students of Bangalore Central University selected affiliated colleges have been checked along with their academic performance.To verify the hypothesis, Pearson correlation analysis method has been used to find out whether students learning have an effect from ICT.The findings revealed that the ICT resources are inadequate to use in these colleges.The number of computer functional units is limited, and so the accessibility to these resources is also restricted.From the study it was mainly understood that only some of the basic concepts and curriculum based programs were only taught to a minimum extent.In depth learning for usage of ICT was not in practice.From the research it was found that availability, accessibility and user ability has significant impact on the students learning.
Prototyping an Autonomous Face Controlled System using Raspberry Pi on Wheelchairs

Quadriplegics are people who cannot use their extremities. Existing aiding devices are costly, complex, not user friendly and they are guardian dependent for movement. In this paper, a Raspberry Pi enabled wheelchair movement control by head movement detection is presented. A head movement detection technique based on Open - Computer Vision image processing is used which detects the user's facial movement in real time using the camera. Using this, the wheelchair motors are controlled and are driven in the indicated direction. Also, numerous sensors such as temperature sensor, pulse rate sensor, accelerometer sensor and fire sensor are added to monitor patient health, safety and well-being.
Position Coordination Aid for Blind Persons Based on LoRa Point to Point

Conventional or electronic sticks are one of the tools that are often used by people with blind persons for independent activities.Both tools have limitations that cannot provide a sense of comfort in the form of information on the distance position between blind persons.In this research, electronic hardware is designed and built, which is integrated with conventional sticks.Designs and aids are made to exchange positional information on the distance between blind persons for normal and emergency conditions.The two electronic hardware consists of a global position system (GPS) modules, LoRa radio, DF mini-player, liquid crystal display (LCD), button, and a microcontroller.Communication between electronic hardware uses a point to point topology with half-duplex communication.Each hardware device is planted with source ID and destination ID, so that as soon as the push-button is pressed, the microcontroller reads the coordinate point data from the GPS module.The combined coordinate data and source ID are transmitted to the destination ID via LoRa radio and will exchange coordinate data instead.Furthermore, the two coordinate data in each microcontroller hardware is converted into distance information (meters) using the Haversine algorithm.Distance information is displayed on the LCD and converted into sound output through the DF mini-player speaker.The result of system functionality testing, the average percentage error is 1.21%, and the reading of all the resulting distance data can sound.Testing the GPS module obtained the percentage of conformity of the coordinates with an accuracy of 99%.Testing the data communication system obtained the maximum distance on the LoRa module as far as 500 meters.The received signal strength value (RSSI) parameter has no effect on the distance tested, and the receiver's packet loss parameter will be very influential if it is blocked by an object (obstacle).
Prevalence of Anaemia Based on Haemoglobin Levels among Under Five Years Children in Combined Military Hospital, Sylhet

Introduction: Anaemia is the commonest nutritional problem in the world but the burden of anaemia is disproportionately borne among children in developing countries. Physical, mental and social developments of the children are adversely affected by childhood anaemia. Objective: To assess the prevalence and severity of anaemia based on haemoglobin levels in children less than five years of age attending in Combined Military Hospital (CMH), Sylhet. Materials and Methods: This cross sectional study was conducted at CMH, Sylhet from January 2018 to December 2018. The study included 184 children aged 6 months to less than 5 years. Personal data and history of co-existing medical conditions were collected by data collection sheet and then analyzed. Results: The prevalence of anaemia was 74(40.2%). Out of the anaemic under five children, 46 (75.7%) had mild anaemia, 18(24.3%) had moderate anaemia, and no one had severe anaemia (WHO definition). There was no significant difference for prevalence of anaemia in relation to sex and age different groups. Conclusion: The prevalence of anaemia in 6 months to less than 5 years children was found to be high, given the negative impact of anaemia on the development of children in future, so there is an urgent need for effective and efficient remedial health interventions. JAFMC Bangladesh. Vol 16, No 2 (December) 2020: 76-79
A GRICEAN MAXIM ANALYSIS IN TEACHING AND LEARNING PROCESS AT HIGHER LEVEL EDUCATION

&#x0D; &#x0D; &#x0D; &#x0D; This study was aimed at identifying the maxim violation(s) in English classroom in an English class at Politeknik Aceh Selatan. The maxim violation analyzed was only the one produced by the lecturer as the key speaker in the video. Regarding the methodology, this study employed qualitative approach because the analysis emphasized more on the data quality instead of data quantity. The data source as well as the instrument for this study was the video from English class and the data collection was carried out through a documentation procedure in which the video were checked repeatedly to classify data based on the utterances. The data were then analyzed using Interactive Analysis following the three-step procedures: data condensation, data display, and data verification The results showed that the most Gricean Maximum violations occured in the quantity maxim (42 times). The second is the maxim of quality (24 times) and the maximum of relation (17 times). The least violations occur in the maxim of manner (5 times).&#x0D; &#x0D; &#x0D; &#x0D;
Model for Refactoring a Software Using Feature Oriented Dependency (FOD)

Refactoring is the process of improving the code of the software without affecting the external behavior of the code only by reconstruct the internal structure . It makes code cleaner, clearer, simpler or in other words, clean up the code. It also improves the quality of code then it became more reliable and easy to maintain through lifecycle of software. Refactoring has become renowned concept in software development process. The IDE (Integrated Development Environment) highly prefer this technique. Researches on refactoring technique have improved now a day. Beyond that, this particular technique is used to improve different functions of application software. It mainly speed up the function and helps to get the output much faster. In this proposed work Feature Oriented Dependency (FOD) tool is created used for refactoring process established on a chemical reaction optimization meta heuristic approach to discover the appropriate refactoring resolutions.
Designing and Marketing a LibGuide for Presidential Papers

When I joined the faculty at the Fred J. Taylor Library at the University of Arkansas at Monticello (UAM) in July 2019, I became the coordinator of our institution’s Federal Depository Library Program and Arkansas Documents repositories. As I began inspecting our collections, I discovered that documents were dispersed throughout the library. Though the library has a designated Government Documents Collection cataloged under the SuDoc classification scheme, numerous documents were cataloged under the Library of Congress classification as well. Compounding this issue, documents classified under LC were distributed across various collections. The distribution of government documents across multiple collections is not unique to UAM, and is a common problem among FDLP depositories. Having government documents classified under different schemes and shelved in multiple collections can lead to discrepancies in cataloging, particularly as personnel change over time. Finding multiple split-cataloged series in our collections convinced me that, with rare exception, documents should be consolidated into a revamped Government Documents Collection.