Reviewerly/exHarmony huggingface dataset:
Quadcopter Prototype Stability Assessment With Pid Controller And Euler-Lagrange Approach

Abstract The increasing use of drones in various fields has led to their popularity in developed countries due to their ease of use and manufacture. This Miniature Pilotless Aircraft has numerous beneficial usages such as express shipping, gathering information, crop monitoring, cargo transport, storm tracking, geographic mapping of inaccessible terrain, search and rescue operations, among others. This study aims to investigate the stability of a quadcopter through simulations based on the mathematical model that describes the quadcopter’s dynamic and flight mechanics, using the Euler-Lagrange approach. It conducts simulations in MATLAB and present the principles that govern quadcopter stability, focusing on setting the PID coefficients to achieve optimal stability. This study provides insights into the principles of drone mechanics and stability, enabling us to better understand the quadcopter’s behavior and performance.
Evaluating the Potential of Coscheduling on High-Performance Computing Systems

Modern high-performance computing (HPC) system designs have converged to heavyweight nodes with growing numbers of processors. If schedulers on these systems allocate nodes in an exclusive and dedicated manner, many HPC applications and scientific workflows will be unable to fully utilize and benefit from such hardware. This is because at such extreme scale, it will be difficult for modern HPC applications to utilize all of the node-level resources on these systems. In this paper, we investigate the potential of moving away from dedicated node allocation and instead using intelligent coscheduling—where multiple jobs can share node-level resources—to improve node utilization and therefore job turnaround time. We design and implement a coscheduling simulator, and, using traces from a high-end HPC cluster with 100K jobs and 1158 nodes, demonstrate that coscheduling can improve average turnaround times by up to 18% when compared to easy backfilling. Our results indicate that coscheduling has the potential to be a more efficient way to schedule jobs on high-end machines in both turnaround time and system and component utilization.
Artificial Intelligence Based Online Examination Proctoring System

Abstract: Distance and online learning, often known as e-learning, has emerged as the new norm in training and education in light of recent technological advancements, thanks to a number of benefits like accessibility, cost, efficiency, and usability. Even though the online educational system offers advantages over the traditional educational system, preventing cheating and other improper behavior of students during classes and exams poses substantial difficulties. The 'Artificial Intelligence based Online Examination proctoring system' project offers a solution to the issues with online and distance education. The system makes use of movement detection, face recognition, and other biometric approaches to flag the student fraud during exams. As soon as the cheating or other irregularities are detected by the students, the system signals the manual proctor and also records these instances as evidence for subsequent monitoring. As a result, online exams can be administered effectively with fewer or no manual proctors present, which is more practical and affordable
Artificial Intelligence

Artificial Intelligence is the way one can solve problems occurring in everyday life. A lot of mathematical solutions are presented as to how one learns and the way one should learn to give rise to some kind of intelligence. Deep learning is an example of this [1]. Problems occur everywhere from mathematics to computer science. Intelligence is needed to solve problems. This paper is about that. It presents a simple method or way to solve problems intelligently. The next heading describes as to how one could solve problems in an intelligent manner.
Exploring locality sensitive hashing as a blocking method for large-scale administrative datasets

ObjectivesLinking large-scale datasets is challenging due to the computational power required. This research explores using Locality-Sensitive-Hashing (LSH) as a blocking method to reduce the computational complexity when linking large administrative datasets. LSH hashes similar data into ‘buckets’, thus reducing the search space and processing power required to find links.&#x0D; MethodsA gold-standard linked dataset was used during method development. Test datasets were made using samples of gold-standard matches and non-matches, then blocked using LSH.&#x0D; Various LSH parameters including shingle length, signature length, band size and number of matching bands were tested. Precision and recall were used to find optimal parameters for identifying good candidate pairs, with 100% recall and &gt;20% precision being desirable.&#x0D; Alternative formats for date of birth, postcode and gender variables were tested, with additional characters used to simulate agreement weighting.&#x0D; ResultsResults as of spring 2023 are promising, with the caveat that currently only small datasets have been tested. The LSH method with optimal parameters creates ~9,000 candidate pairs whilst maintaining recall of 100% (i.e., all true matches are included in the candidate pairs) and precision of 27.6%. In contrast, our traditional deterministic blocking method using the same variables creates ~70,000 candidate pairs, and a cartesian product creates over 23.4 million candidate pairs. We have therefore shown that LSH can be used to create a significant reduction in the search-space size.&#x0D; Furthermore, the method easily handles alternative names, postcodes, etc. that may be present in longitudinal data or composite datasets, with no need to account for different possible combinations of variables.&#x0D; ConclusionCurrent research has shown that LSH can be used to drastically reduce the search space when blocking for data linkage. Using variable formatting to prioritise agreement for specific sections e.g., of postcode, has overcome a potential downside of LSH. Further research on variable formatting, parameter optimisation and testing of the method at scale is ongoing.
Cultural Conflicts as Depicted in English Movie “ East Is East”

This study examines how the characters in the film "East is East" deal with cultural clashes and conflicts of different backgrounds. The issue with this study is that the author uses a fictional family as the subject to investigate the cultural conflicts that underlie social inequality. Cultural tensions that arise among families and in the broader community are depicted in the film. The objectives of this study are to (1) identify the cultural problems that appear in "East is East" and (2) determine how the characters handle these difficulties. In this study, researchers employed a qualitative research methodology to pay attention to the a subject of investigation and interpretation. Researchers used a qualitative research method in this research to pays attention to the object to be researched and interpreted. In this study, researchers used Sociocultural Approach theory from Lev Vygotsky, Cultural Conflict theory from Thorsten Sellin, and DMIS (Developmental Model of Intercultural Sensitivity) theory from Milton Bennet. The source of the data in this study is a film entitled "East is East" in 1999 by writer Ayub Khan Din and director Damien O'Donnell. From the results of this study, based on the theory of Cultural Conflict by Thorsten Sellin, the researcher found 2 types of cultural conflict that occurred in the film, namely Primary and Secondary Conflict, then based on the cultural conflict, the researcher found out how the characters in the film deal with cultural conflict by using the theory by Milton Bennett's DMIS, namely 4 stages, denial, defense, minimization, and acceptance.&#x0D;
Teacher's Language Code Switching in Indonesian Language Learning in Class II, Elementary School 11 Sub-district Ulu Musi District Four Laws

Code switching is a switch from one language to another or from one dialect to another or vice versa, the occurrence of code switching due to changes in certain situations. The use of language is very important because language is the most important thing so that humans can interact with each other, especially in the interaction of a more formal scope of learning. Learning is an effort to prepare teaching and learning activities by teachers for students. Teachers are people who are assigned to be responsible for the growth and development of students towards educated humans. In learning, teachers are emphasized to be able to apply Indonesian properly and correctly as a unified language, namely Indonesian, which is inversely proportional to the situation in the observed school. This study aims to determine the form of teacher language code switching and factors that influence teacher language code switching in Indonesian language learning in class II SD Negeri 11 Ulu Musi District, Empat Lawang Regency. The methods used are observation, interview, and documentation. It can be concluded that the code switching process carried out by Indonesian teachers in teaching and learning activities uses the type of internal code switching, namely the code switching of the teacher's language from Indonesian to local language, both learning activities in the introduction, core and closing phases. Factors that influence the teacher's language code switching, namely internal and external. Internally, teachers are not too confident to always use Indonesian. Then externally code switching occurs due to environmental factors that are accustomed to using local languages, so that speech partners find it difficult to understand messages conveyed with other than local languages.
A Fuzzy Robust Controller for Robotic Systems

In this work a combination of type 2 fuzzy logic and nonsingular fast sliding mode technique is proposed to design a robust controller for a robotic system. Indeed, a nominal type 2 fuzzy model is used to contract the equivalent control signal. The switching signal is designed using adaptive type 2 fuzzy systems to overcome the knowledge of the upper bounds of uncertainties and external disturbances. Several simulation results are given to show the efficiency of the proposed approach.
Factors Impacting Professional Accounting Students' Satisfaction with Distance Learning: Evidence from a Malaysian Public University

Distance learning is a means for delivering teaching through the internet, with the use of various technologies and resources to provide material and engage students. This study examined students' perceptions of the opportunities and difficulties of distance learning, as well as their satisfaction with a distance learning experience. The data was gathered from a public university in Malaysia and analyzed using Partial Least Squares (PLS) structural equation modeling. The results revealed in terms of the students' perceived opportunities for distance learning, ICT skills and lifelong learning had a significant effect on how satisfied students are with distance learning, while the educational structure hadno significant effect. In terms of perceived challenges, students saw plagiarism and deviation from the primary goal as having a major impact on their satisfaction, but not the educational expenses. The findings aid institutions in providing better knowledge for the development of future distance learning programs for accounting qualification and provide a better understanding of the success of distance learning towards academic performance for students. Limitations and recommendations for future studies are also discussed. Keywords: distance learning, opportunities, challenges, satisfaction
Pengembangan Aplikasi Pengolahan Data Siswa Berbasis Android Menggunakan Metode Prototyping

Tritech Vocational School is one of the vocational high schools that, in the process of storing and processing student data, uses the Microsoft Excel application, so that the processing of student data is still considered less effective and efficient. This is due to the difficulty of distributing student data to those who need it; in addition, student data is only stored on a certain computer device, resulting in a lack of security, completeness, loss, or damage to data because it can be accessed by unauthorized parties and can also result in data loss if the computer device is damaged. The purpose of this research is to create an Android-based application that Tritech Vocational High School can use to process student data and make it easier to distribute student data. Prototyping is the systems development approach used in this study. includes stages of requirement communication, quick planning, quick design modeling, construction of a prototype and deployment, delivery, and feedback, while the system testing method uses the black box testing method. Android applications are built using the Kodular Framework and the Airtable database. Via an Android device and accessible online, the application developed helps Tritech Vocational Schools process student data, such as adding, changing, or deleting, and facilitate the distribution of student data. Processing student data using an Android-based application has higher security than using the Microsoft Excel application because it provides restrictions on access rights.
Mitigating the effects of a pandemic in sub-Saharan Africa: are fiscal and monetary policy complementary or contradictory?

Purpose The study examined the roles of fiscal and monetary policy in reducing poverty in sub-Saharan Africa (SSA), while accounting for macroeconomic disruptions. In particular, the study examined the complementarity of fiscal and monetary policy to mitigate shocks and reduce poverty in SSA. Design/methodology/approach The study adopts the fixed effect (within regression) model to account for country-specific characteristics, and a cross-sectional dependence – consistent model to control for the potential cross-sectional in panel data modelling. The study used the dummy variable approach to account for the macroeconomic shocks. The authors assigned 1 to the following years – 2008, 2014 and 2020; and 0 otherwise to take care of the global financial crisis, commodity terms of trade shocks and the COVID-19 pandemic respectively. Findings The study found that fiscal policy (particularly, government spending on health and education) has the greater capacity to reduce the level of poverty in SSA. The results also indicate that fiscal policy and monetary policy can work in tandem to reduce the negative effects of a pandemic. However, the study found an optimal threshold level of monetary policy beyond which monetary policy reduces the effectiveness of fiscal policy to reduce poverty in SSA. The research and policy implications are discussed. Originality/value The study, unlike previous studies, accounts for the impact of macroeconomic shocks in the monetary/fiscal policy and poverty literature.
The Need for Legalization of Rules on Seizure and Search of Encrypted Smartphones

The discovery of the substantive truth of a crime requires evidence. In the past, the confession of a suspect was considered the “king of evidence”. However, in modern criminal procedures that prioritize objective and scientific evidence, smartphones have taken over as the “king of evidence” due to their ability to contain various personal information such as photos, videos, voice recordings, location data, and messages. As a result, criminals employ various means to destroy their smartphones, while investigative agencies make efforts to prioritize securing the smartphones of suspects. The advancement of technology and features in smartphones has made the legality of the seizure and search procedures for smartphones crucial. However, the criminal procedure law has not developed in parallel to accommodate the changing landscape of seizure and search of smartphones. Therefore, provisions regarding analog evidence, a few regulations related to digital evidence, and court judgments and decisions form the norms for the seizure and search of smartphones.&#x0D; The current criminal procedure law lacks sufficient provisions regarding the seizure and search of smartphones and should be explicitly stated in the law in a timely manner. To address this, this paper examines the main regulatory contents by categorizing them into stages such as the issuance of warrants for the seizure and search of smartphones, execution of such warrants, selective seizure of smartphones, and analysis stages. Smartphones contain a significant amount of personal information. Therefore, excessive seizure and search of smartphones can infringe not only on the property rights of the person being seized but also on their personal information, privacy, and, in some cases, intellectual property rights. On the other hand, insufficient seizure and search can hinder the discovery of the substantive truth of a crime. Thus, regulations explicitly established in the law should comprehensively consider the characteristics of smartphones, the fundamental rights infringed upon the person being seized, and the discovery of the substantive truth. The seizure and search procedures for smartphones should not continue in their current defective form. Basic contents that need to be regulated by law should be explicitly stated in the criminal procedure law. To achieve this, the legislative and justice departments need to make more proactive efforts in the legislative process.
Research and Development of Human Resource Management System at SMP Dharma Wirawan 08 Donomulyo

This research aims to develop a Human ReSource Management system at SMP Dharma Wirawan 08 Donomulyo. This Research and Development uses the Design Based Research method with the following steps: (1) Problem Identification (2) Identification of Goals (3) Preparation of Product Design (4) Product Design Test (5) Evaluation of Product Design Test Results (6) Product Communication. The subject used is Donomulyo Islamic Junior High School, data obtained through observation and interviews, and questionnaires. The questionnaire answers use a Likert scale with 5 assessment categories (1) very inappropriate, (2) not feasible, (3) quite feasible, (4) feasible, (5) very feasible. The data analysis technique uses a percentage of the quality system tested by two academic validators and practitioners. The result of this research is a human reSource management quality system at Donomulyo Islamic Junior High School with the following specifications: vision, mission, objectives, organisational structure, job description, quality policy and SOP (Standard Operating Procedure).
Enhancing length of stay prediction by learning similarity-aware representations for hospitalized patients

This paper focuses on predicting the length of stay for patients on the first day of admission and propose a predictive model named DGLoS. In order to capture the influence of various complex factors on the length of stay as well as the dependencies among various factors, DGLoS uses a deep neural network to model both the patient information and diagnostic information. Targeting at different attribution types, we utilize different coding methods to convert raw data to the input features. Besides, we find that similar patients have closer lengths of stay. Therefore, we further design a module based on graph representation learning to generate patients’ similarity-aware representations, capturing the similarity between patients and therefore enhancing predictions. These similarity-aware representations are incorporated into the output of the deep neural network to jointly perform the prediction. We have conducted comprehensive experiments on a real-world hospitalization dataset. The performance comparison shows that our proposed DGLoS model improves predictive performance and the significance test demonstrates the improvement is significant. The ablation study verifies the effectiveness of each of the proposed components and the hyper-parameter investigation shows the robustness of the proposed model.
Standard Assessment Model for Scientific Integration-Interconnection as Material for Evaluation of Vision and Mission Achievement

This study aims to develop a standardized assessment model of scientific integration-interconnection, which begins with conducting a literature review and needs assessment, setting goals, developing initial products, validating contents, testing readability, testing instruments, analyzing results, and ending with an interpretation of the results of the assessment. The method used is Research and Development. Testing of the assessment instruments was carried out for each element of the Tridharma of Higher Education, namely 76 lesson plans, 139 research and development works, and 41 community service works. The scientific integration-interconnection assessment model has characteristics according to the structure of the second order model, with the first order being 4 scientific integration-interconnection domains (philosophical domain, material domain, methodological domain, and strategic domain) and the second order is 15 aspects of scientific integration-interconnection. Data analysis techniques using Aiken-V, Exploratory Factor Analysis/EFA and Confirmatory Factor Analysis/CFA, Omega, Item Response Theory approach of polytomous scoring, and descriptive statistics. The assessment model is feasible, fulfilling the criteria of content validity, construct validity (p-value = 0.11949 and RMSEA = 0.027), estimated instrument reliability (α = 0.816), and construct reliability (ɷ =0.939). The scoring used the GRM approach with good quality in terms of the results of the 94% item fit test with an item discrimination index of 0.655 &lt; DISCi &lt; 1.153 and the average item difficulty level of -1.965 &lt; DIFFi &lt; -0.662.
Gerakan Literasi Sekolah dalam Meningkatkan Minat Baca

This study aims to explain the literacy movement and its impact on increasing students' interest in reading at MAN I Prabumulih. The School Literacy Movement in increasing students' interest in reading at MAN 1 Prabumulih uses a qualitative research approach and type. That is, research with the aim of describing and analyzing every event, event or phenomenon related to the problem that the researcher discusses. The results of the School Literacy Movement (GLS) research at MAN I Prabumulih in increasing interest in reading include through the habit of reading between before starting lessons (tadarus) for students who are unable to go to the library, muhaarah, memorizing surahs and hadiths, tadarus every Friday at the school mosque. The impact of the School Literacy Movement (GLS) at MAN I Prabumulih is that there are positive things that schools get through this program. In addition to students' interest in reading through active visits to the library, they are also enthusiastic about participating in school madding, placing several collections of books that can be exchanged with other students in the class reading corner, and concrete evidence is the success of students in winning competitions on literacy outside of school. Supporting and Inhibiting Factors for the School Literacy Movement (GLS) in Increasing Students' Interest in Reading at MAN I Prabumulih include reading facilities, funds, student motivation and interest, reading resources, and a variety of reading books.