Reviewerly/exHarmony huggingface dataset:
Designing The Complaint Management System With The Mvc Approach

A Complaint Management System Is A System That Centralizes All Complaints Received To Be Handled By The Department In Charge. This System That Serves Similar Like A Helpdesk System In Nature, Will Be Able To Map The Categories And Types Of Complaints With The Departments Involved. This Process Of Centralizing And Distributing Complaints Helps To Make The Workforce More Efficient. Complaints Whether Educational Or Non-Educational Related Such As Student Complaints Over Network Connectivity, Staff Complaints Over Certain Unscheduled Power Interruption, And Issues On The Hostel Maintenance Will Be Handled Effectively By This System. This Research Leads To The Planning Of Complaint Management System Development Using Model-View-Controller (Mvc) Technique And Applying Laravel Framework For System Development. Mvc Is A Pattern Of Software Design And Is Now Widely Used In Web Design Architecture. Laravel Is A Framework Development Aimed At Web Applications Consisting Of Html, Javascript And Css Scripting Languages. The Methodology Used To Develop This Complaint Management System Is Rapid Application Development (Rad). The Development Of This System Can Be A Reference For Any Organizations To Develop A Complaint Management System Or Helpdesk System.
Human Factors Testing Sample Size Requirements: Is it Time to Reevaluate?

According to the 2016 FDA Human Factors Guidance, Human Factors Validation Testing should include a minimum of 15 test participants from each intended user group for simulated use Human Factors Validation Testing, but there is not specific guidance on sample sizes for studies focused on labeling comprehension. This sample size for labeling comprehension testing has been debated, as some experts suggest that fewer than 15 test participants may be acceptable to achieve similar results. The authors collected data from multiple labeling comprehension studies, to investigate the optimal number of test participants necessary to uncover all use errors specifically when evaluating comprehension and understandability of written instructions, i.e., labeling. While smaller sample sizes may be able to detect most common usability problems, UserWise recommends further investigation of usability study data considering device complexity, user groups, and prior experience level of users to aid the determination of the optimal sample size for adequacy of labeling assessments.
Design and Implementation of Effective Digital Photo Frame

Digital picture frames are nice because they let us enjoy our photos without having to print them out. Plus, adding and removing digital files is a lot easier than opening a traditional frame and swapping the picture inside when you want to display a new photo. In this paper, we are going to implement Digital Photo Frame using Raspberry Pi,
Interpret and Communicate

Having evaluated all the measures and selected the best model for this case, and much of the machine learning process has been clarified, our understanding of the problem context is still relatively immature. That is, while we have carefully specified the problem, we still do not fully understand what <italic>drives</italic> that target. Convincing management to support the implementation of the model typically includes explaining the answers to “why,” “what,” “where,” and “when” questions embedded in the model. While the model may be the best overall possible model according to selected measures, for the particular problem related to hospital readmissions, it is still not clear <italic>why</italic> the model predicts the readmission of some patients will be readmitted and that others will not. It also remains unknown <italic>what</italic> features drive these outcomes, <italic>where</italic> the patients who were readmitted come from, or whether or not this is relevant. In this case, access to time information is also unavailable––<italic>when</italic>, so it is not relevant, but it is easy to imagine that patients admitted in the middle of the night might have worse outcomes due to tired staff or lack of access to the best physicians. If we can convince management that the current analysis is useful, we can likely also make a case for the collection of additional data. The new data might include more information on past interactions with this patient, as well as date and time information to test the hypothesis about the effect of time-of-admission and whether the specific staff caring for a patient matters.
온라인 수업에서 고등학생의 교수실재감이 자기조절학습능력에 미치는 영향: 자기결정성동기의 기본심리욕구의 매개효과 검증

This study verified how high school students sense teaching presence on self-regulated learning skill mediated by the basic psychological needs of self-deterministic motivation in online class and whether there are any gender differences in any relatedness among these variables. For this, questionnaires were distributed to three high schools located in the province J, and the data of 383 students were analyzed using the structural equation model(SEM). As the result of this study, first, it shows the sense of teaching presence has an effect on the basic psychological needs of self-deterministic motivation and self-regulated learning. Second, only competence-among the three sub-factors of basic psychological needs- was found to be madiating teaching presence and self-regulated learning ability variables in online classes. Third, there was no gender difference in the relationships among these factors. The results of this study shows a necessity for teachers to increase teaching presence during online class in order to improves student's self-regulated learning skill. And it is necessary to improve not only competence madiating teaching presence and self-regulated learning ability but also autonomy and relatedness of the basic psychological needs not mediating them.
Digitalisasi Manajemen Dokumen Terintegrasi Berbasis Sistem Informasi pada Perusahaan Logistik: Tinjauan dari Sisi Spesifikasi dan Arsitektur

Multi Artha Sarana Solusi Inc. (MASS Cargo) is a logistic company providing freight forwarder service. MASS Cargo has a business process of service sales prioritizing lead time delivery. Another thing that becomes the main focus of the companyâ€™s business process is the quickness of document &amp; administration report collection. However, it becomes the main problem faced by MASS Cargo since it affects to the delayed of invoice billing to the customers, impacting on the companyâ€™s cash flow directly. This research does an information system specification design which will be used as the main system and be able to help the smoothness of the document collection &amp; report. Analysis of the business process, document, and interview with the stakeholders is used as referrals in the designing so that the information system corresponds to companyâ€™s need. The methodology used in the information system specification design is Rational Unified Process (RUP). RUP disciplines done in this research are requirement and analysis &amp; design on inception &amp; elaboration phases with 3 iterations. The result of this research are artifact documents representing the needs of the MASS Cargoâ€™s integrated document management information system and mockup collection that has been validated by the users. Keywords : Specification Design, Information System, Integrated Document, Rational Unified Process, MASS Cargo
Components for integrated quantum photonics

We develop quantum devices for the generation, manipulation and detection of light at the single photon level. Quantum dot devices allow for the generation of single and entangled photons at various frequencies including telecom wavelengths. We also develop single photon detectors with high efficiency based on NbTIN superconducting nanostructures, low noise and high time resolution to enable a range of applications including quantum communication, quantum sensing and integrated photonics. To allow for complex systems, integrated quantum optics circuits where we combine quantum sources and superconducting detectors are under development.
Investigation of the Noise Sensitivity of Machine Learning Algorithms on Credit Card Fraud Detection

The misleading of machine learning based credit card fraud detection systems, due to various cyber attacks and information transfer-related distortions, is highly critical for the financial sector and its effects globally. In this study, the noise sensitivity and reliability of the machine learning algorithms on the credit card transactions database, which was balanced by over sampling method, were investigated. For this purpose, the noise generated in different distributions was added from 5% to 100 percent level and applied on different algorithms. Common noise distributions such as Normal, Poisson, Pareto, Exponential, Power and Uniform have been used. Logistic regression, K nearest neighbor, Decision trees, Random Forest, Extreme Gradient Boosting (XGB) and Gradient Boosting (GB) machine learning algorithms have been used in this study. Results were evaluated by complexity matrix and f1 score. The results include evaluation and comparison of classification criteria for each algorithm and noise level for the noise sensitivity study.
VIDEO-CLIP-BASED LEARNING AS A TOOL TO IMPROVE TEACHING IN HIGHER EDUCATION

Appears in: EDULEARN21 Proceedings Publication year: 2021Pages: 6784-6790ISBN: 978-84-09-31267-2ISSN: 2340-1117doi: 10.21125/edulearn.2021.1367Conference name: 13th International Conference on Education and New Learning TechnologiesDates: 5-6 July, 2021Location: Online Conference
iClass: MOBILE WEB PENDUKUNG PROGRAM BELAJAR #DiRumahAja SEBAGAI SALAH SATU UPAYA PENCEGAHAN PENULARAN COVID-19

Covid-19 is an infectious disease caused by a newly discovered type of coronavirus. This is a new virus and a disease previously unknown before the outbreak in Wuhan, China, in December 2019. To suppress its spread, at the end of 2019 the government appealed to every educational institution to implement a home study program. In this regard, the development of a learning model in the Covid-19 emergency period is now an obligation that must be done by every educator in Indonesia. Nowadays information technology plays an important role in all fields, including in education. The right learning media to use now is certainly a choice that must be made, based on information technology. The development of information and communication technology has experienced rapid development, so that it impacts on human life. This development can be seen from the pattern of technology-based education. The application of technology in education better known as Information and Communication Technology (ICT) has finally become the pulse in the world of education. It is clear that ICT has become an integrated part of learning through distance learning or internet-based learning (e-learning). During the Covid-19 emergency. at the end of 2019 after receiving an appeal from the government regarding home learning programs due to the Covid-19 pandemic, STIKOM Uyelindo Kupang felt the need to build a system to be able to help monitor online teaching and learning activities from home by utilizing internet technology or known as e-learning. The main purpose of iClass (e-learning that will be built) is to collect student attendance data online so that it can help the academic community to control lecture activities in real time. Presentation of data will be faster, more precise and accurate.
Trade Secret Directive­ — Spain

Under Spanish law, trade secrets are protected under both civil and criminal law. If the legal conditions are met, obtaining, using or disclosing trade secrets without the consent of the rights holder is considered as an act of unfair competition.The Spanish Unfair Competition Act provides in article 13 that: “the infringement of trade secrets, which shall be governed by the trade secrets legislation, is considered unfair”. The trade secrets legislation applicable in Spain is that contained currently in the Spanish Trade Secrets Act (“STSA”). The STSA implements Directive (EU) 2016/943 of 8 June 2016 on the protection of trade secrets (the “Directive”). The STSA provides a complete new legal framework with significant improvements regarding the legal framework applicable to trade secrets protection, the definition of lawful and unlawful acts, legal remedies and enforcement aspects and the contractual aspects of trade secrets as an object of property.
Children, Youth and Migration in Zimbabwe: An Indigenous Knowledge Systems Perspective

Discourses on migration are plentiful and reflect different viewpoints.Migration is not a new 21 st century phenomenon but has been in existence since the recording of history.Migration is occasioned by various reasons ranging from social, economic, political to religious ones.However, the challenges of the 21 st century have ushered in new dimensions of migration and its impact on humanity in general.Globalisation and technology have made migration a lot easier and more frequent.While some scholars view migration from a Human Rights, ethical and gender perspective, this chapter discusses the impact of migration on the youth in general and the children in particular from an indigenous knowledge systems perspective.It answers the question: What role does indigenous knowledge systems play on children, youth and migration in Zimbabwe?Using observation, in-depth interviews and available literature, the chapter focuses on the impact of migration on children and youth who remain behind when their parents and guardians emigrate.It argues that the challenges faced by youth and children following the emigration of their parents and guardians could be minimised by tapping into ruzivo rwevanhu (people's indigenous knowledge systems).
Analisis Keterampilan Menulis Puisi Dengan Menggunakan Model Think Talk Write Di Sekolah Dasar

This study aims to analyze poetry writing skills using the Think Talk Write learning model in elementary school students. Sources of data used in this study are books and journals related to poetry writing skills using the Think Talk Write learning model. The method used in this research is literature review. The research was conducted by collecting data using books, as well as various journals related to the required research variables. The analysis that has been carried out from several journals is to explain the advantages and disadvantages of the Think Talk Write learning model in students' poetry writing skills in elementary schools. Based on the analysis of ten articles of the Think Talk Write (TTW) learning model, the lowest percentage value is 2.25% and the highest is 36%. Think Talk Write learning model can help develop children's creativity and develop imagination.
Hurdle Relay: A Participatory Design Method for Understanding the Information Gap Through Iterative Comparison

Some perceive poorer quality of information (i.e., information-poor) than others (i.e., information-rich) depending on diverse physical and social barriers. The unevenness of information experience is referred to as information gap. It is core to figure out the features that create such differences for researchers to understand the uneven experiences. The aim of our method is to help designers address the gap features: components of information gap such as clothes fabric or size in online-shopping. While few studies in HCI community attempted to identify the gap features, existing studies are often limited to exploration of gaps. We suggest Hurdle Relay, a method not only to identify the gap features but also to further understand how and why these gap features create different experiences. Hurdle Relay has two key concepts: role-switching of information-rich, and iterative comparison through a relay. We conducted a study on a movie captioning project for hearing-impaired as the case information gap is experienced. The study result showed that the researchers can use Hurdle Relay method to compare the features appearing/disappearing through a relay and understand the subjective gap features. We conclude by discussing the implications of our method for HCI designers.
Current Algorithms for Detecting Subgraphs of Bounded Treewidth Are Probably Optimal.

The Subgraph Isomorphism problem is of considerable importance in computer science. We examine the problem when the pattern graph H is of bounded treewidth, as occurs in a variety of applications. This problem has a well-known algorithm via color-coding that runs in time O(n^{tw(H)+1}) [Alon, Yuster, Zwick'95], where n is the number of vertices of the host graph G. While there are pattern graphs known for which Subgraph Isomorphism can be solved in an improved running time of O(n^{tw(H)+1-e}) or even faster (e.g. for k-cliques), it is not known whether such improvements are possible for all patterns. The only known lower bound rules out time n^{o(tw(H) / log(tw(H)))} for any class of patterns of unbounded treewidth assuming the Exponential Time Hypothesis [Marx'07].In this paper, we demonstrate the existence of maximally hard pattern graphs H that require time n^{tw(H)+1-o(1)}. Specifically, under the Strong Exponential Time Hypothesis (SETH), a standard assumption from fine-grained complexity theory, we prove the following asymptotic statement for large treewidth t: For any e > 0 there exists t ≥ 3 and a pattern graph H of treewidth t such that Subgraph Isomorphism on pattern H has no algorithm running in time O(n^{t+1-e}). Under the more recent 3-uniform Hyperclique hypothesis, we even obtain tight lower bounds for each specific treewidth t ≥ 3: For any t ≥ 3 there exists a pattern graph H of treewidth t such that for any e > 0 Subgraph Isomorphism on pattern H has no algorithm running in time O(n^{t+1-e}). In addition to these main results, we explore (1) colored and uncolored problem variants (and why they are equivalent for most cases), (2) Subgraph Isomorphism for tw < 3, (3) Subgraph Isomorphism parameterized by pathwidth instead of treewidth, and (4) a weighted variant that we call Exact Weight Subgraph Isomorphism, for which we examine pseudo-polynomial time algorithms. For many of these settings we obtain similarly tight upper and lower bounds.
Trivial Cryptographic Protocol for Resource-Constraint IoT Device Security Using OECC-KA

The IoT structures use data as a general rule; the data arrangement from contraptions can moreover be a goal of cyberattacks. It is a direct result of this that countermeasures dependent on encryption are as of now picking up in significance. Trivial (lightweight) cryptosystem is an encryption approach which includes slight impress with low-computational multifaceted nature. A few difficulties can block the fruitful execution of an IoT framework and its associated gadgets, including security, interoperability, power/handling capacities, adaptability, and accessibility. Many of these can be addressed with IoT gadget the board, for example, by accepting standard IoT conventions like lightweight M2M or utilising a comprehensive IoT gadget the executives stage offered by a reliable supplier as part of a SaaS model. In this paper, we propose a simple cryptography protocol for securing resource-constrained devices that uses Optimised ECC with Karatsuba algorithm (OECC-KA) for fast multiplication. Several efficient cryptographic algorithms have been widely used for resource constraint device; it may not be suitable with its limited computing power, bandwidth and CPU power. Elliptic curve cryptography is the best choice for limited power usage with high-level security. The traditional elliptic curve cryptography occupies 80% of execution time for scalar multiplication. The proposed optimized ECC with Karatsuba algorithm increases the execution time with fast multiplication algorithm.
Mixed Variable Bayesian Optimization with Frequency Modulated Kernels

The sample efficiency of Bayesian optimization(BO) is often boosted by Gaussian Process(GP) surrogate models. However, on mixed variable spaces, surrogate models other than GPs are prevalent, mainly due to the lack of kernels which can model complex dependencies across different types of variables. In this paper, we propose the frequency modulated(FM) kernel flexibly modeling dependencies among different types of variables, so that BO can enjoy the further improved sample efficiency. The FM kernel uses distances on continuous variables to modulate the graph Fourier spectrum derived from discrete variables. However, the frequency modulation does not always define a kernel with the similarity measure behavior which returns higher values for pairs of more similar points. Therefore, we specify and prove conditions for FM kernels to be positive definite and to exhibit the similarity measure behavior. In experiments, we demonstrate the improved sample efficiency of GP BO using FM kernels(BO-FM). On synthetic problems and hyperparameter optimization problems, BO-FM outperforms competitors consistently. Also, the importance of the frequency modulation principle is empirically demonstrated on the same problems. On joint optimization of neural architectures and SGD hyperparameters, BO-FM outperforms competitors including Regularized evolution (RE) and BOHB. Remarkably, BO-FM performs better even than RE using three times evaluations.
Management and leadership for school transformation in times of COVID-19

The article gives a public mention of the experiences that in management and have been applied in the world in the virtual context. The objective is to develop a systematic review considering the role of school in improving the school and the system in the current health context due to Covid-19. The study was qualitative and systematic review. The search was done in Google Scholar and the selection of the articles was made using the terms leadership and and its english equivalent leadership, education and Covid-19; both forms using Boolean operator AND. In the results, most studies emphasized the role of school in improving the school and the educational system in the face of the Covid-19 scenario, considering as common aspects, the sense of service, the distribution of responsibilities and the socio-emotional management during the interaction as fundamental elements for afron.
Design Gamification of Discovery-based Learning Models in Elementary School

The purpose of this study is to develop learning designs that are suitable for elementary school students. This design connects the theory of gamification with discovery learning into a new model. Furthermore, the model will be combined with appropriate learning media so that learning becomes more effective and interesting when applied in various types of courses. Data analysis shows the average score of learning design evaluations achieved in the excellent category. This indicates that the design of the development of learning gamification of discovery-based learning in the form of theory and practice has the value of effectiveness and interest of students, and it has shown significant results to be applied in learning in primary schools.