Reviewerly/exHarmony huggingface dataset:
SISTEM PREDIKSI STOCK BERAS BERDASARKAN MINAT PELANGGAN MENGGUNAKAN METODE FUZZY SUGENO

Every company, be it a manufacturing company or a trading company, must maintain sufficient inventory so that the company's operations can run smoothly and efficiently. The most difficult thing to do in a rice sales business is to determine the amount of rice stock that will be used for sales. Therefore, in determining the stock of rice stocks in the sale of rice needed a system that can support decision making. In this study, the decision support system will be implemented to predict the need for rice stock. The method to be used in making this decision support system is Sugeno Fuzzy Logic. The point of this research is to build a system that is able to determine rice stock and be able to implement the Sugeno fuzzy method in determining rice stock based on sales. The system will be built with the Php programming language and use Unified Modeling Language to design the system workflow
Improving Usability and Accessibility of the Web with Eye Tracking

The Web is an essential component of moving our society to the digital age. We use it for communication, shopping, and doing our work. Most user interaction in the Web happens with Web page interfaces. Thus, the usability and accessibility of Web page interfaces are relevant areas of research to make the Web more useful. Eye tracking is a tool that can be helpful in both areas, performing usability testing and improving accessibility. It can be used to understand users' attention on Web pages and to support usability experts in their decision-making process. Moreover, eye tracking can be used as an input method to control an interface. This is especially useful for people with motor impairment, who cannot use traditional input devices like mouse and keyboard. However, interfaces on Web pages become more and more complex due to dynamics, i.e., changing contents like animated menus and photo carousels. We need general approaches to comprehend dynamics on Web pages, allowing for efficient usability analysis and enjoyable interaction with eye tracking. In the first part of this thesis, we report our work on improving gaze-based analysis of dynamic Web pages. Eye tracking can be used to collect the gaze signals of users, who browse a Web site and its pages. The gaze signals show a usability expert what parts in the Web page interface have been read, glanced at, or skipped. The aggregation of gaze signals allows a usability expert insight into the users' attention on a high-level, before looking into individual behavior. For this, all gaze signals must be aligned to the interface as experienced by the users. However, the user experience is heavily influenced by changing contents, as these may cover a substantial portion of the screen. We delineate unique states in Web page interfaces including changing contents, such that gaze signals from multiple users can be aggregated correctly. In the second part of this thesis, we report our work on improving the gaze-based interaction with dynamic Web pages. Eye tracking can be used to retrieve gaze signals while a user operates a computer. The gaze signals may be interpreted as input controlling an interface. Nowadays, eye tracking as an input method is mostly used to emulate mouse and keyboard functionality, hindering an enjoyable user experience. There exist a few Web browser prototypes that directly interpret gaze signals for control, but they do not work on dynamic Web pages. We have developed a method to extract interaction elements like hyperlinks and text inputs efficiently on Web pages, including changing contents. We adapt the interaction with those elements for eye tracking as the input method, such that a user can conveniently browse the Web hands-free. Both parts of this thesis conclude with user-centered evaluations of our methods, assessing the improvements in the user experience for usability experts and people with motor impairment, respectively.
Design of Massive Online Simulation (MOS) on kinetic theory of gases

Abstract The purpose of this study was to design a Massive Online Simulation (MOS) to describe the behavior of gas particles to make it easier for students to understand the microscopic kinetic theory of gases. This research is a type of development research (Research and Development) with the ADDIE model consisting of analysis (analysis), design (design), development (develop), implementation (implement) and evaluation (evaluate). But, in this study, researchers only use the initial stage is the stage of an analysis and d design. The result of this research is the design of Massive Online Simulation (MOS) learning media on a gas kinetic theory which discusses monatomic, diatomic and polyatomic sub-materials, in which there is a main display menu, start menu, material menu, simulation menu and quiz menu that can be used. Students for learning the kinetic theory of gases.
From Multimodal to Unimodal Attention in Transformers using Knowledge Distillation.

Multimodal Deep Learning has garnered much interest, and transformers have triggered novel approaches, thanks to the cross-attention mechanism. Here we propose an approach to deal with two key existing challenges: the high computational resource demanded and the issue of missing modalities. We introduce for the first time the concept of knowledge distillation in transformers to use only one modality at inference time. We report a full study analyzing multiple student-teacher configurations, levels at which distillation is applied, and different methodologies. With the best configuration, we improved the state-of-the-art accuracy by 3%, we reduced the number of parameters by 2.5 times and the inference time by 22%. Such performance computation tradeoff can be exploited in many applications and we aim at opening a new research area where the deployment of complex models with limited resources is demanded
Deep Learning-Based Classification of Pancreatic Adenocarcinoma from Fine Needle Aspiration/Biopsy Microscopic Images

Classification of pancreatic adenocarcinoma using histopathological images is essential to detect the tumor of a patient. Nevertheless, finding and classifying tumors in histopathological images represent a fastidious task for specialists, notably at a large scale (high number of patients), given the complexity and diversity of information they need to analyze. In this paper, we propose a decision support system to assist the pathologist in making his/her final diagnosis. Our system is based on a deep learning approach which allows us to analyze and classify pancreatic adenocarcinoma from microscopic images at the slide-tile level. In addition, we present a unique dataset that we have jointly built with the Hospital Center of Lille University in France to train our system. The dataset consists of 21 652 tiles labeled by a pathologist. Several deep architectures namely VGG-19, ResNet-50, and DenseNet-201 have been tailored to develop our classification system. Moreover, the different architectures have been trained on our proposed dataset following several strategies: with/without data augmentation, and with/without transfer learning. A battery of experiments has been conducted to evaluate, using standard metrics, the performance of the proposed system and to select the best deep architecture. Indeed, the experimental study shows the promising performance of our system.Azzouz, Abdelhakim Windal, Feryal Benhabiles, Halim Karleskind, Oriane Bongiovanni, Antonino Tardivel, Meryem Lambin, Thomas Gerard, Romain Leteurtre, Emmanuelle Collard, Dominique
Online Teaching and Learning in Higher Education During Covid-19 Pandemic: Vietnamese Students' Perspective

The paper explores the effects of Coronavirus Pandemic (Covid-19) on higher education in Vietnam. It focuses on how school closures affect education and how the resiliency of education system responds to such disruptions and mitigates their effect. The study presents the current background of digital tools, content, students' perceived advantages and disadvantages of online learning in order to obtain an understanding of the actual implementation of ICT at higher education level. Total 437 Vietnamese university students were involved in this study, combining both quantitative and qualitative methods to create a comprehensive understanding of the diverse perspectives on ICT integration at university. The results show that LMS imperfections, inappropriate infrastructure, and insufficient technical, mental and academic support were common challenges of digital transformation to supporting learning and teaching in the university. The paper suggests that Covid-19 has a more direct influence on higher education in Vietnam, that it is important to integrate digital technology into the curriculum as online learning and teaching can be standardized and certified, and ICT can be a powerful tool for increasing the educational opportunities and shaping the future of education. The findings might be beneficial for the students, teachers, university managers and policymakers in preparing the education system for future crises.
LibGuides: DSEM 2021-22: Library resources for first year students: Images and Video

A guide designed for students new to Drew University Library that provides foundational information for academic research in the coming years.
Dynamic Node Link Model of Hierarchical Edge Computing

With the rise of the Internet of Things, edge computing has become one of the key technologies in Internet of Things solutions. In the context of the Industrial Internet of Things, hierarchical edge computing shows its advantages. This article focuses on hierarchical edge computing in the industrial Internet of Things scene, and studies the dynamic resource allocation of hierarchical edge computing networks. When using a hierarchical edge computing network with existing equipment, it is difficult to make changes to existing equipment. Therefore, this article uses queuing theory modeling analysis and proposes Dynamic Link Model based on Nodes Relation. Aiming at the hierarchical edge computing network, this model uses a method based on node connection relationship transfer to achieve load balancing of task flow and completes the dynamic allocation of computing resources in the network, and proposes a time experienced priority queue offloading strategy. The paper uses Java to achieve a dynamic link model experiment based on the connection relationship between nodes. The results show that this scheme has significant advantages in the global average delay of the system, and ensure the loss probability is reasonable within a certain limit.
Work in Progress: Layering Cybersecurity on Domain Engineering Instruction

In 2014 he created OpenPLC, the world's first open source industrial controller.OpenPLC is being used as a valuable tool for control system research
FD-StackGAN: Face De-occlusion Using Stacked Generative Adversarial Networks

It has been widely acknowledged that occlusion impairments adversely distress many face recognition algorithms' performance.Therefore, it is crucial to solving the problem of face image occlusion in face recognition.To solve the image occlusion problem in face recognition, this paper aims to automatically de-occlude the human face majority or discriminative regions to improve face recognition performance.To achieve this, we decompose the generative process into two key stages and employ a separate generative adversarial network (GAN)-based network in both stages.The first stage generates an initial coarse face image without an occlusion mask.The second stage refines the result from the first stage by forcing it closer to real face images or ground truth.To increase the performance and minimize the artifacts in the generated result, a new refine loss (e.g., reconstruction loss, perceptual loss, and adversarial loss) is used to determine all differences between the generated de-occluded face image and ground truth.Furthermore, we build occluded face images and corresponding occlusion-free face images dataset.We trained our model on this new dataset and later tested it on real-world face images.The experiment results (qualitative and quantitative) and the comparative study confirm the robustness and effectiveness of the proposed work in removing challenging occlusion masks with various structures, sizes, shapes, types, and positions.
Cybersecurity for Quantum Computing.

With rising cyberattack frequency and range, Quantum Computing companies, institutions and research groups may become targets of nation-state actors, cybercriminals and hacktivists for sabotage, espionage and fiscal motivations as the Quantum computing race intensifies. Quantum applications have expanded into commercial, classical information systems and services approaching the necessity to protect their networks, software, hardware and data from digital attacks. This paper discusses the status quo of quantum computing technologies and the quantum threat associated with it. We proceed to outline threat vectors for quantum computing systems and the respective defensive measures, mitigations and best practices to defend against the rapidly evolving threat landscape. We subsequently propose recommendations on how to proactively reduce the cyberattack surface through threat intelligence and by ensuring security by design of quantum software and hardware components.
The Effect of Job Satisfaction and Organizational Commitment on Nurses’ Performance

The purpose: of this study was to find the impact of organizational commitment and Job satisfaction on nurses’ job performance.Methodology: The study conducted at the hospital of Ibn al-Athir and employed a quantitative method by structured questionnaires to collect the data. 200 questionnaires were distributed randomly and only 108 valid surveys likewise; the valid questionnaires have been analyzed by SPSS to exam the impact of organizational commitment and job satisfaction on job performance.Findings: the results indicated there is a positive and significant impact of Job satisfaction on nurses' performance. However, the three components of organizational commitment, Affective Commitment, Continuance Commitment, and Normative Commitment have a positive and significant impact on nurse's performance. The findings of this research indicate that employees' job satisfaction and organizational commitment components play a critical role in nurses' performance.Implications: of this study to enrich the body of literature in the context of Iraq, which is suffering from a lack of studies related to nurses' performance.Novelty: the study provided useful and valuable recommendations to hospitals to increase nurse performance in the context of Iraq.
A- STATE-OF-THE-ART SURVEY ON IMAGE ENCRYPTION AND DECRYPTION TECHNIQUES

In the present era of social media and smartphones, when almost all the smartphone users are clicking and posting their pictures on social media, then at this time the security of the transmitted images is of utmost importance. Colored images are widely used due to economically affordable gadgets as compared to the gray images and moreover they contain more information in them. In this paper, a state-of-the-art survey of various techniques provided by the researchers in the area of image encryption is presented and a detailed comparison on various available techniques and algorithms in the area of image encryption is done. This paper also compares these techniques on the basis of their performance like NPCR, UACI, Correlation Coefficient, Entropy etc.
Sumatera Career Center, scrum Rancang Bangun Sistem Manajemen Sumatera Career Center Bagian Pelamar dan Pengunjung Menggunakan Metodologi Scrum

With many alumni from Polythecnic caltex riau and collaborations with local and international company, it is necessary to has a system to help maintaining and facilitating the job vacancy. Polythecnic caltex riau has their own system which is called Sumatra career system (scs). This program will be the base for the alumni to gain information of job vacancy. The management of Sumatera Career Center will renew the scc website regarding it has many error features. Base of the issue, it necessary to build the new scc system. Framework of codelgniter and mysql will be use to build the base of the websiteb. This website will use the methodology scrum. Finally result, this system will have user friendly interface, easy to use, and this website will be implemented as the legal sumatera career center. Based on the result of the black box tesing, the results show that each function on each page is in accordance with the expected result. This system also is tested by usability testing so that it can find improvements desired by the user.
Cyberbullying; Its Impact to Self-Esteem as Perceived by Senior High Students

Cyberbullying or cyber harassment is a form of bullying or harassment using electronic means. Cyberbullying and cyber harassment are also known as online bullying. It has become increasingly common, especially among Teenagers. The 2017 School Crime Supplement (National Center for Education Statistics and Bureau of Justice) indicates that, among students ages 12-18 who reported being bullied at school during the school year, 15% were bullied online or by text. Along this line, this study was guided by two objectives:  a) To determine the perception of senior high students to Cyberbullying and b) To know the impact of Cyberbullying to self-esteem as perceived by senior high students. This study used descriptive method. A closed-ended questionnaire was used to gather data with Seventy two (72) respondents from theMindanao State University-Sulu Senior High Department.
NoSQL: A Real Use Case

As the amount of information flow increases, business companies feel the need to improve on storage systems. Henceforth, to tackle this increasing need, paradigms such as NoSQL emerge to solve the unlimited data growing requirement. However, the NoSQL solution has no proofs given in the field to support their solution claims. Benchmarks can test and compare different solutions performance by executing queries over a toy dataset (synthetically generated). The problem with benchmarking results is how to extend the conclusions to a real system operating within a real business scenario. In this paper, an actual corporate case study is used, with real-world data, to evaluate how NoSQL databases perform. First, using big data, write-intensive tests are implemented and evaluated using Cassandra, MongoDB, Couchbase, and compared with the relational database in place, which is within the throughput limit. Results show a throughput comparison for each tested approach.
Analisis sebaran SD dan SLTP di Kecamatan Simo Kabupaten Boyolali 2018

The Distribution Analysis Of Elemantary School and Junior High School In Simo, Boyolali at 2018AbstractThe study was conducted to: 1. Analyzing the distribution pattern of elementary school and junior high school in Simo, Boyolali at 2018. 2. To anayzing the factors those gave so many influences to distribution pattern of elementary school and junior high school in Simo, Boyolali at 2018. The method of this study is survey and for the research area is purposive method that choosing the region based on certain considerations. The result of this study is distribution pattern of elementary school in Simo was randomized T = 1,271. And the distribution pattern of junior high school in Simo was tending towards a group pattern, because the value of T = 0.349. The factors those influence for this distribution pattern are 1. Accessibility factors, the accessibility for elementary school is medium and high. 2. The factors in the avaliabelity on education service, for elementary school in Simo has a low value and each village while the number of education service for junior high scholl is also in a low value. 3. The population tendency factors in utilyzing primary and secundary school. 4. The quality factors of school, the parents of student sending their children to the elementary school is only because of the elementary was near from home without thinking of the quality. But when it goes to junior high school, the parents starting to considerate about the value of national exam and rate of graduation from those school. The average grade of junior high school in Simo is high and low. There are two junior high school which have high score and clasification, and those are, SMP N 1 Simo and SMP IT Al-Falah Simo. While three others have a low grade and score. The graduation rate reaches 100% for all junior high school whose in Simo District.Keywords : Distribution Pattern, The Factors of Distribution Pattern.
Navegadores web para la búsqueda de información académica en estudiantes universitarios. Web browsers for the search of academic information in university students

The technological development experienced in recent years has generated growth in the use of the Internet. The objective of the research consisted in identifying trends in relation to the preference of browsers for the search and management of academic information in a group of university students. The methodology is based on a quantitative approach with a non-experimental and field design, the subjects of the sample were made up of 400 students from the different careers of the Faculty of Education, Social, Philosophical and Humanistic Sciences of the Bolivar State University, first quarter of the year 2021. The results showed the user profile and the browsers commonly used, for the first case it stands out that 24% of the population has a basic profile, 22% an advanced profile and only 4 % an administrator profile. For its part, as regards browsers, Google Chrome stands out with 27% participation, followed by Internet Explorer with 11%, Mozilla with 10%, while Opera and Safari with just 1% respectively. It is concluded that regardless of gender, the preference is marked by the use of Google Chrome as main alternative for the search for academic information by university students.
LibGuides: DSEM 2021-22: Library resources for first year students: Find Articles

A guide designed for students new to Drew University Library that provides foundational information for academic research in the coming years.
Performance Analysis of a Hybrid Method for Medical Image Compression

A hybrid approach of image compression using Singular value decomposition (SVD) and Set Partition in Hierarchical Trees (SPIHT) is proposed in this paper. SVD provides less image quality with more compression rate; SPIHT offers high quality of image with more compression. In the proposed method, image is compressed using SVD and reconstructed image is given to SPIHT technique. This method is tested on MRI and X-ray images and provides an improvement in Peak Signal to Noise ratio (PSNR) of 5dB compared to SPIHT, reduced Mean Squared Error (MSE) and significant improvement in compression ratio compared to SVD and SPIHT alone