Reviewerly/exHarmony huggingface dataset:
Comparing BERT with an intent based question answering setup for open-ended questions in the museum domain

BERT-based models achieve state-of-the-art performance for factoid question answering tasks. In this work, we investigate whether a pre-trained BERT model can also perform well for open-ended questions. We set up an online experiment, from which we collected 111 user-generated open-ended questions. These questions were passed to a pre-trained BERT QA model and a dedicated intent recognition based module. We have found that the simple intent based module was around 25% more often correct than the pre-trained BERT model, indicating that open-ended questions still require different solutions compared to factoid questions.
Learning Explicit User Interest Boundary for Recommendation

The core objective of modelling recommender systems from implicit feedback is to maximize the positive sample score $s_p$ and minimize the negative sample score $s_n$, which can usually be summarized into two paradigms: the pointwise and the pairwise. The pointwise approaches fit each sample with its label individually, which is flexible in weighting and sampling on instance-level but ignores the inherent ranking property. By qualitatively minimizing the relative score $s_n - s_p$, the pairwise approaches capture the ranking of samples naturally but suffer from training efficiency. Additionally, both approaches are hard to explicitly provide a personalized decision boundary to determine if users are interested in items unseen. To address those issues, we innovatively introduce an auxiliary score $b_u$ for each user to represent the User Interest Boundary(UIB) and individually penalize samples that cross the boundary with pairwise paradigms, i.e., the positive samples whose score is lower than $b_u$ and the negative samples whose score is higher than $b_u$. In this way, our approach successfully achieves a hybrid loss of the pointwise and the pairwise to combine the advantages of both. Analytically, we show that our approach can provide a personalized decision boundary and significantly improve the training efficiency without any special sampling strategy. Extensive results show that our approach achieves significant improvements on not only the classical pointwise or pairwise models but also state-of-the-art models with complex loss function and complicated feature encoding.
Ανάπτυξη αλγορίθμου εξόρυξης δεδομένων για ανίχνευση απάτης πιστωτικών καρτών και επίδειξη σε σύστημα μηχανικής μάθησης τεχνητής ευφυΐας

This present thesis is a thesis within the framework of the postgraduate course «Internetworked Electronic Systems»of the department of electronic engineering University of West Attica. Our objective is to manifest the necessity for the existence of a tool for the analysis and the interpretation of a significant amount of information organized into databases, as well as to serve as a motive paving the way towards conducting further research. The thesis is divided into three units. In the first two units there is a presentation of the prerequisite knowledge, which is indispensable for the analysis of the applied method. More specifically, the definition of the term ‘’data mining’’, the model types deriving from data mining, the sectors to which it can be applied, as well as the data processing techniques are presented in the first unit. In the first part of the second unit the underlying idea behind Machine Learning, as well as the existent learning theories are presented. The second part of unit -2 the program ‘’Machine Learning’’, which was used for our data analysis, is presented. Moreover, in this second part of unit 2 the PCA method, which was used for the conversion of our data into numbers, is described. Unit 3 constitutes the research of the thesis. After the deviation detection techniques are analyzed in Unit 3, the two algorithms that were selected for our research are presented. These two algorithms are the Local Outlier Factor and the Isolation Forest. Our analysis is based on a sample of 284.807 credit card transactions that took place during September 2013 by European credit card holders. Initially a statistical analysis upon 100% of the sample took place. In continuation, the ‘’class’’ variable was introduced, which takes the value of 1 in the case of fraud and the value of 0 in the case of non-fraudulent transactions. Afterwards two different analyses were conducted on 10% of the data, which was selected randomly. The first analysis made use of the Local Outlier Factor and the second made use of the Isolation Factor. Finally, the results of the two methodsare compared and our drawn conclusions are presented regarding which of the aforementioned methods is more advantageous and why. Last but not least, suggestions are made concerning the improvement of the prediction accuracy of the method.
A Comparative Performance Evaluation of Search Items and Experience Items in Amazon Customer Reviews

The accelerated growth of web users alongside developing the influence of online review web pages and social media has brought forth sentiment analysis assessment mining, which targets understanding what others think, assessments, comments and reviews about the item in social media, E-Commences sites, and so forth. The product review comments contributed by the customers have rich data about the use of the products. In this article, we have gathered reviews from Amazon.com by separating search items from experience items and we inspect the business effect of online reviews on product sales performance. This article looks at the impact of the degree of detail in an item review and the degree of analyst concurrence with it on the credibility of a review and customers' procurement expectations for search and experience items.
تفعيل دور المشاركة المجتمعية بين الهيئة العامة لقصور الثقافة والتعليم الثانوي العام للارتقاء بالذوق الفني في صعيد مصر Creative Leadership in Improving the University Education: A Field Study in King Khalid University

The research aimed to investigate the role of creative leadership in improving the level of university education atKing Khalid University by identifying the concept and importance of creative leadership, and to identify creative leadershipskills that represent a need for university leaders in the Kingdom of Saudi Arabia in the light of the contemporaryadministrative trends of leadership, and to reveal the obstacles to achieving creative leadership in the. King KhalidUniversity. The study used the descriptive analytical approach through an analysis of the studies related to the field of study,and administrating a questionnaire on a sample of 52 of the leaders of the faculty members at King Khalid University, duringthe first semester of the year (1441/2019).The study reached some results, including:1. The mean score of the study sample's responses on the dimensions of the creative leadership was (3.38), with a neutraldegree.2. The mean score of the study sample's responses on the reality of the leadership course in crisis management at KingKhalid University was (3.21), with a neutral degree.3. The mean score of the study sample's responses on the reality of the obstacles to applying creative leadership at KingKhalid University was (4.12), with an acceptable degree of verification.4. The mean for the study sample responses on the skills required for creative leadership to improve the level of education atKing Khalid University was (4.41), with a degree of great agreement achieved.5. There are no statistically significant differences at the level of 0.05 among the members of the study population towardsthe role of creative leadership in improving the level of university education at King Khalid University due to the variable ofthe scientific degree and the years of experience.
PEDAGOGICAL STUDENT PROJECT COLLABORATION ON THE DIFFERENCES BETWEEN E-BUSINESS SERVICES FROM AN EASTERN AND WESTERN PERSPECTIVE

Collaborating universities remotely can also be successful between different continents. In the autumn of 2019, Savonia University of Applied Sciences in Finland and Shanghai University of Technology (SSPU) in China experimented with course-based cooperation between educational institutions in students' project work with the e-business course (eBusiness) and (Ecommerce). The topic of project work formed the collaboration. We divided the group into six (6) teams in both schools, and each team had a counterpart pair on the other continent for comparison. The Ebusiness group in Savonia consisted of international Bachelor of Business Administration (BBA) degree students and exchange students, mainly from Europe. For example, there were students (63) from the following countries: Finland, Kosovo, France, Germany, the Netherlands, Portugal, and Belgium. Also, a few exchange students from outside Europe, for example, from China. SSPU students were predominantly Chinese. In the project work, students analyze e-business services (eBay, Amazon, Alipay, Aliexpress, PayPal, and Wish) that operate in both European and Asian markets. The students mapped the key similarities and differences in the content of e-business services by qualitatively observing. First, the groups made introductory videos of each other from their team. Next, the groups mapped the business models and pricing models of the case companies. For the second joint Zoom meeting, the groups compared outputs and examined case companies' e-business processes, marketing communications, and user experience (UX). In the final seminar, the groups compiled the main similarities and differences in these areas. Students also wrote a written report for peer feedback. The gatherings took place in the classroom via a Zoom.us conference. We used youtube for sharing introduction videos to other teams. Teachers also communicate via email and students in the learning environment Moodle (Savonia). We decided to write this pedagogical experiment article to encourage experimenting with joint projects internationally, across school and course boundaries.
A Hybrid Feature Selection Method for Improve the Accuracy of Medical Classification Process

Generally, medical dataset classification has become one of the biggest problems in data mining research. Every database has a given number of features but it is observed that some of these features can be redundant and can be harmful as well as disrupt the process of classification and this problem is known as a high dimensionality problem. Dimensionality reduction in data preprocessing is critical for increasing the performance of machine learning algorithms. Besides the contribution of feature subset selection in dimensionality reduction gives a significant improvement in classification accuracy. In this paper, we proposed a new hybrid feature selection approach based on (GA assisted by KNN) to deal with issues of high dimensionality in biomedical data classification. The proposed method first applies the combination between GA and KNN for feature selection to find the optimal subset of features where the classification accuracy of the k-Nearest Neighbor (kNN) method is used as the fitness function for GA. After selecting the best-suggested subset of features, Support Vector Machine (SVM) are used as the classifiers. The proposed method experiments on five medical datasets of the UCI Machine Learning Repository. It is noted that the suggested technique performs admirably on these databases, achieving higher classification accuracy while using fewer features.
RANCANG BANGUN SISTEM INFORMASI PENJUALAN KERUPUK KUSARI BERBASIS WEB PT. PUTRA SUGANDA ROHAYATI KARAWANG

PT. Putra Suganda Rohayati is a micro industrial company in the field of cracker marketing that has long been competing in the market in the industrial world. This company has a data collection system in conventional financial reports so that it often has difficulty checking incoming and outgoing goods reports as well as missing and incomplete administrative data collection, it takes a long time to make reports on proof of purchase transactions, marketing that is still not familiar with online systems. Therefore, in order to improve the company's business transformation to be more effective and competitive, PT. Putra Suganda Rohayati needs information technology, namely web-based sales so that it can collect data that is more systematic, accurate, efficient, to provide easier services to consumers such as ordering goods without the need to come to the factory and online transactions in order to reach a wide market.
PEMBUATAN VIDEO DOKUMENTASI EVENT ORGANIZER BAGI PERUSAHAAN PT. KALAMATA KOMUNIKA IDEALEEMA DI BANDUNG

Documentation video is a video or photo that captures an important moment in an event. If a client wants to collaborate or needs and event organizer service, the main thing he sees is the portofolio, brand value and social media. In the modern era social media is now commonplace among Indonesia people, this is a great opportunity for a company to promote the services or products it sells.The main problem experienced by companies engaged in event organizer services usually occurs because of inadequate preparation, poor coordination, mistakes when compiling a budget, inexperienced event organizer, and also the lack of content or visual creative that can provide more assessment for prospective clients or customers, because people tend to look at their social media fist before contacting the event organizer it self. The number of services or competitors in this field, make companies think more creatively how their business can progress, grow and be able to compete with other brands. Therefore, a company, especially one that is engaged in services such as event organizers, requires documentation in the form of photos and videos which can later be used as a company portfolio or become content on social media, company branding and become proof of the continuity of an event.
Mathematical Modelling of Vertical Looped Water Slide Using Matlab

Abstract: A conceptual mathematical model of a water slide with vertical loops is developed. The principle used is the conservation of energy. The thrill experienced by a rider on a water slide is mainly due to the variation of G-force acting on the rider through the course of the ride. The geometry of the slide is developed by plotting G-force variation with the arc length of the loop. The G-force exposure limits should meet with the standards set by the F24 committee on amusement parks and rides. The coordinates of the slide geometry are determined by using Euler’s method of discretized equations. Keywords: G-Force, Centripetal acceleration, Clothoid curve, Weightlessness, Potential Energy, Kinetic Energy
Relationship Dynamics of Sustainable Development Goals on Poverty and Inequality in sub-Saharan Africa: Beyond the Covid-19 Pandemic

The study examined the relationship dynamics of sustainable development goals on poverty and inequality in sub-Saharan Africa: beyond the COVID-19 pandemic. Monthly data were sourced from World Bank Sustainable Development Goals Data Bank, Africa SDG index from 2015 (m01) to 2020 (m12). Both static and dynamic panel analysis techniques were employed in estimating the interrelationship among the seventeen SDGs and cases of COVID-19. The study presents mixed results as it revealed the SDGs having both and either positive or negative short run or long run relationship with poverty, inequality and COVID-19. By implication, some SDGs presents a short-term relationship while some SDGs presents a long-term relationship. In another scenario, some SDGs presents both short term and long-term relationship towards the achievement of No poverty and reducing inequality on or before year 2030. The study therefore recommends that policy should be put in place in sub-Saharan Africa so as to differentiate the SDGs having short term goals from SDGs having long term goals and from the SDGs having both short term and long-term goals towards the achievement of No Poverty and reducing Inequality on or before year 2030.
COMPARISON OF THE ASSESSMENT OF CERTAIN EVALUATION PARAMETERS AFTER PROFESSIONAL DEVELOPMENT OF CHEMISTRY TEACHERS DURING BOTH LIVE AND ONLINE CLASSES

Information about the paper titled "COMPARISON OF THE ASSESSMENT OF CERTAIN EVALUATION PARAMETERS AFTER PROFESSIONAL DEVELOPMENT OF CHEMISTRY TEACHERS DURING BOTH LIVE AND ONLINE CLASSES" at IATED Digital Library
Pendampingan Pengembangan Lidah Buaya menjadi Berbagai Olahan dan Produk Kesehatan sebagai Branding Keunggulan SMK Muhammadiyah 2 Turi

SMK Muhammadiyah 2 Turi (SMKM 2 Turi) has launched a program for developing Aloe vera as an excellent branding. The development of aloe vera at SMKM 2 Turi has started but the results have not been optimal, due to limited knowledge, insight, and skills of most students and teachers of SMKM 2 Turi, as well as the limited supporting facilities. This community service was conducted to increase the knowledge and skills of teachers and students of SMKM 2 Turi in the development of aloe vera, as well as assistance in the cultivation and processing of crops. Community service programs were conducted using several methods, including community education, science, and technology diffusion, facilitation, consultation, and mentoring. With assistance and guidance from the UMY Team, the development of aloe vera cultivation and processing at SMK Muhammadiyah 2 Turi has been carried out quite well, with the result that the population of aloe vera has increased to 2 times the population and various kinds of processed products of drinks, snacks, and health products. These aloe products are used for internal school purposes or Muhammadiyah activities at various events and are sold to the public market because they already have a PIRT license. This activity is not only able to make the school environment more conducive, but it also provides benefits as a learning medium, especially entrepreneurship for students and teachers, and is expected to be an excellent branding for SMK Muhammadiyah 2 Turi.
DISTANCE TEACHING EFFICACY IN HIGHER EDUCATION DURING COVID-19 IN RUSSIA

Appears in: ICERI2021 Proceedings Publication year: 2021Pages: 9448-9455ISBN: 978-84-09-34549-6ISSN: 2340-1095doi: 10.21125/iceri.2021.2179Conference name: 14th annual International Conference of Education, Research and InnovationDates: 8-9 November, 2021Location: Online Conference
RESILIENCE IN A POST-PANDEMIC WORLD – INDIVIDUAL DIGITAL READINESS IN HIGHER EDUCATION

Recent empirical studies conducted at Heidelberg University of Education show that emergency remote learning/teaching due to the COVID-19 pandemic has been quite challenging for both students and lecturers. Although the sample has been found to be overall resilient, there are shared concerns, e.g. about social relationships between students and lecturers, competence acquisition, and students’ (behavioural) inhibition and increasing independence, self-reliance and responsibility in particular. Being aware that the pandemic currently is a major life stressor and immediate solutions are required, the attempt is to not only focus on short-term functioning but to promote internal well-being and competent functioning in the long-term, i.e. what is increasingly acknowledged to be ‘the new normal’. In order to facilitate adaption, cognitive, motivational, emotional as well as behavioural components need to be taken into consideration. An “Individual Digital Readiness Scale” will be developed to assess students’ and lecturers’ readiness for online learning environments. Furthermore, as protective processes are crucial for human psychological development, a prevention and intervention program will be implemented to strengthen the individual and to foster academic engagement. The presentation will reflect on the latest findings at Heidelberg University of Education as well as touch upon methodological considerations in the concurrent research process.
Pulse Code Modulation Encoder

In this paper, a system based model of “Pulse code modulation” (PCM) has been constructed forvoice frequencies. In this, a sample and hold circuit has been constructed that uses a triggering semiconductorswitch like MOSFET that samples the voice signals at a frequency of 8 KHz. The sampling is based upon theNyquist criteria. An ADC circuit is implemented to quantize and digitize the output of the sample and Hold circuit.The outputs that are obtained are converted into 8-bit digital value per sample at a frequency of 8 KHz. PulseCode Modulation (PCM) is the most straightforward type of waveform coding among other change forms as likeAdaptive Pulse Code Modulation (APCM), Delta Modulation Lastly, a parallel to serial converter is designed atan accurate time without any delay. Further an 8-bit shifting register along with decade counter and flip-flops areprovided to this waveform sequentially without delay
Mixed-state entanglement and information recovery in thermalized states and evaporating black holes

We study the universal behavior of quantum information-theoretic quantities in thermalized isolated quantum many-body systems and evaporating black holes. In particular, we study a genuine mixed-state entanglement measure called the logarithmic negativity, other correlation measures including the Renyi negativities and the mutual information, and a signature of multipartite entanglement called the reflected entropy. We also probe the feasibility of recovering quantum information from subsystems of a thermalized quantum many-body system or from the radiation of an evaporating black hole, using quantities such as relative entropy and Petz map fidelity. A recently developed technique called the equilibrium approximation allows us to probe these quantities at finite temperature. We find striking qualitative differences from the infinite temperature case, which has been the topic of previous studies using Haar-random states. In particular, we find regimes where the logarithmic negativity is extensive but the mutual information is sub-extensive, indicating a large amount of undistillable, bound entanglement in thermalized states. For evaporating black holes at finite temperature, both the logarithmic negativity and the Petz map fidelity reveal an important new time scale $t_b$, which is earlier than the Page time $t_p$ by a finite fraction of the total evaporation time. We find that $t_b$, as opposed to $t_p$, is the time scale at which quantum entanglement between different parts of the radiation becomes extensive, and the fidelity of information recovery for a large diary thrown into the black hole starts to grow.
The Influence of Schoology-Based Learning On Student Learning Outcomes in The Middle of the Covid-19 Pandemic

Currently, the teaching and learning process is carried out online in class X KIP D using conventional methods. To improve learning outcomes, Schoology-based E-learning is used. Schoology is a Learning Management System (LMS) that provides facilities for teachers and students to interact with each other, exchange information online. This research method uses Pre-experimental one group pretest-postets used to determine the level of student ability before and after treatment is carried out.  treatment. Regression analysis is used to find out how much influence the independent variable has on the increase in the dependent variable. The results of this study indicate that after carrying out theteaching and learning using Schoology-based E-learning increases student scores. With the average posttest value is higher than the pretest value with a difference of 40.89. From the results of the pretest value sig. 0.046 and the posttest value of sig. 0.000. The pretest and posttest values ​​were below 0.05. The p-value obtained is 0.000, which means it is smaller than 0.05. The regression equation obtained is Y= 8.889+1.123X and the p-value (Sig) is 0.000 which is below 5% alpha. This means that H0 is rejected (there is no significant positive effect between Schoology-based E-learning on student learning outcomes), and accepts H1 (there is a significant and positive effect between Schoology-based E-learning on student learning outcomes). Keywords: E-learning, Schoology, Learning outcomes