Reviewerly/exHarmony huggingface dataset:
A Cloud Based Interactive Setting for Medical Simulation

The process of learning by doing within an online interactive setting – accessible by a single and simple click of the mouse, without downloads of software or other technical procedures - is highly effective and leaves learners with a memorable experience, if the experience is multiplayer, highly cooperative, and glasses-free. That is the case with the e-REAL Online experience introduced in this article, which revolves around a case of multiple injuries acting in an alpine environment. Within this scenario, the learners are challenged to recognize a situation requiring rapid intervention, communication, knowledge sharing, decision-making, and management of an unforeseen event—while taking into consideration critical contextual factors such as a lack of time, scarcity of resources and tools, and a multitude of additional impactful factors (weather conditions, broadband availability, etc.).&#x0D; The entire experience is based on the visual exploration of an alpine environment and on a dialogue with the patient, which is an avatar performing as a female that was injured during a hiking activity performed alone and was found by chance by an interprofessional rescue team.
DISCOURSE ANALYSIS OF PRESIDENT BARRACK OBAMA’S SPEECH IN AL AZHAR UNIVERSITY

The purpose of this research is to analyz what kinds of attitudes showed in President Barrack Obama's speech, how does President Barrack Obama express his attitudes, and how does President Barrack Obama amplify his attitude toward Islam in his Al-Azhar University speech. Based on the data analysis, this research concluded that president Barrack Obama showed the three kinds of attitude namely affect, judgment,and appreciation. The affect dominates the proportion of the attitudes employed in president Barrack Obama's speech 25 sentences it equal to 53%, followed by judgment in the second place'13 sentences it equal to 28%. Appreciation was the least resource of attitude used in the president Obama's speech 9 sentences it equal to 19%. The positive attitude consists of 36 sentences it equals to 77% than negative one consists of 11 sentences it equals to 23%, because he knew that America and Islam have been in tension. In amplifying his attitude the use of focus is more frequents than the force in which 33 sentences in focus and 14 sentences in force. As well as the amplification of President Barrack Obama's attitude tend to focus because America and Islam has been in tension therefore he focused on improving the relationship between America and Islam. As American president who spoke in front of Muslim majority, he was a marvelous leader who could analyze problems and find the solutions.
Application Development Android-based Tourism Case Study of North Sulawesi Province

North Sulawesi Province, which is often called North Sulawesi, is a province located at the northern tip of Sulawesi Island. North Sulawesi has 11 regencies and 4 cities and Manado City is the capital of this province. Based on Law Number 13 of 1964, on August 14, 1959 the North Sulawesi Province was formed so that day was determined as the anniversary of the Province. Some areas in Sulawesi North is also a barometer of national tourism development. The tourism sector has become a mainstay sector not only for the provincial government, but also for the participation of all layers of society. Technological developments that are increasing rapidly can now cover all fields, one of which is in the field of Information Systems such as the Android application which has been used to display tourist information and tourism support facilities such as hotels, transportation, souvenir shops, and other things. To make things easier, Android also provides access and integration with the Google Maps service. The process of making this application uses the Rapid Application Development (RAD) method which consists of 3 phases, namely Requirements Planning, RAD Design Workshop, and Implementation. For the continued development of the Android-based Tourism Location Based Service application in North Sulawesi Province by adding other features that are more supportive.
Pemanfaatan Media Pembelajaran Alat Peraga Sistem Kardivaskulas untuk Menaikkan Hasil Belajar SD/MI

This researcch was conducted to find out about the impact of using visual aids on understanding the material of the circulatory system. The cardiovascular system is a material in science learning that includes organs that are used during the transportation process, blood circulation processes, abnormalities in blood circulation and circulatory diseases that should be understood. But of course there are obstacles in the learning process both the lack of understanding of students in capturing learning material, that way the teacher can use learning media such as teaching aids, the use of teaching aids that image the necessary work operations needed to visualize in memory, so the direction of this research is to test the success of the circulatory system visual media in the teaching and learning process. As well as helping teachers to make it easier when doing learning and easily understood by students.
Towards Efficient Neural Network Model Parallelism on Multi-FPGA Platforms

Nowadays, convolutional neural networks (CNN) are common in a wide range of applications. Their high accuracy and efficiency contrast with their computing requirements, leading to the search for efficient hardware platforms. FPGAs are suitable due to their flexibility, energy efficiency and low latency. However, the ever increasing complexity of CNNs demands higher capacity devices, forcing the need for multi-FPGA platforms. In this paper, we present a multi-FPGA platform with distributed shared memory support for the inference of CNNs. Our solution, in contrast with previous works, enables combining different model parallelism strategies applied to CNNs, thanks to the distributed shared memory support. For a four FPGA setting, the platform reduces the execution time of 2D convolutions by a factor of 3.95 when compared to single FPGA. The inference of standard CNN models is improved by factors ranging 3.63-3.87.
Warm-Boot Attack on Modern DRAMs

Memory plays a critical role in storing almost all computation data for various applications, including those with sensitive data such as bank transactions and critical business management. As a result, protecting memory security from attackers with physical access is ultimately important. Various memory attacks have been proposed, among which “cold boot” and RowHammer are two leading examples. DRAM manufacturers have deployed a series of protection mechanisms to counter these attacks. Even with the latest protection techniques, DRAM may still be vulnerable to attackers with physical access. In this paper, we proposed a novel “warm boot” attack which utilizes external power supplies to bypass the existing protection mechanisms and steal the data from the modern SODIMM DDR4 memory. The proposed “warm boot” attack is applied to various DRAM chips from different brands. Based on our experiments, the “warm boot” attack can achieve as high as 94% data recovery rate from SODIMM DDR4 memory.
Direct ellipse fitting by minimizing the L0 algebraic distance

Given a set of 2D scattering points from an edge detection operator, the aim of ellipse fitting is to construct an elliptic equation that best fit the observations. For the data collected often contain noisy, uncertainty, and incompleteness which constitutes a considerable challenge for all algorithms. To address this issue, a method of direct ellipse fitting by minimizing the L0 algebraic distance is presented. Unlike its L2 counterparts that assumed the fitting error follows a Gaussian distribution, our method tried to model the outliers using the L0 norm of the algebraic distance between the ideal elliptic equation and its fitting data. In addition, an efficient numerical algorithm based on alternating optimization strategy with half-quadratic splitting is developed to solve the resulting L0 minimization problem and a detailed research of the selection of algorithm parameters is carried out benefit from which it does not suffer from the convergence issues due to poor initialization, which is an open question encountered in all iterative based approaches. Numerical experiments suggest that the proposed method achieves a very high precision and reliability to various bias especially for Non-Gaussian artifacts as well as easy to implement.
An improved Harris Hawk optimization algorithm and its application to Extreme Learning Machine

The Harris Hawk optimization (HHO) algorithm is an excellent swarm intelligence optimization algorithm which has the advantages of high efficiency in finding the best, ease of implementation and wide application. It also has some disadvantages such as the possibility of convergence too fast and the tendency to fall into local optima. This paper combines an improved escape energy update approach and the leader update operator of the Salp Swarm Algorithm to improve the HHO, named IMHHO. The experiments show that the improvements have improved the algorithm's ability to find the best. IMHHO was also used in the parameter optimization of the Extreme Learning Machine, which also enables the ELM to find the right weights and bias values and to regress the data more accurately.
Minimum Surgical Probing with Convexity Constraints

We consider a tomographic problem on graphs, called Minimum Surgical Probing, introduced by Bar-Noy et al. [2]. Each vertex $$v \in V$$ of a graph $$G = (V,E)$$ is associated with an (unknown) label $$\ell _v$$ . The outcome of probing a vertex v is $$\mathcal{P}_v = \sum _{u \in N[v]} \ell _u$$ , where N[v] denotes the closed neighborhood of v. The goal is to uncover the labels given probes $$\mathcal{P}_v$$ for all $$v \in V$$ . For some graphs, the labels cannot be determined (uniquely), and the use of surgical probes is permitted but must be minimized. A surgical probe at vertex v returns $$\ell _v$$ . In this paper, we introduce convexity constraints to Minimum Surgical Probing. For binary labels, convexity imposes constraints such as if $$\ell _u = \ell _v= 1$$ , then for all vertices w on a shortest path between u and v, we must have that $$\ell _w = 1$$ . We show that convexity constraints reduce the number of required surgical probes for several graph families. Specifically, they allow us to recover the labels without using surgical probes for trees and bipartite graphs where otherwise $$\left\lfloor |V|/2 \right\rfloor $$ surgical probes might be needed. Our analysis is based on restricting the size of cliques in a graph using the concept of $$K_h$$ -free graphs (forbidden induced subgraphs). Utilizing this approach, we analyze grid graphs, the King's graph, and (maximal-) outerplanar graphs.
Utilizing Organizational Culture to Form User Compliance through Systems Development

This study aims to reveal how organizational culture forms users compliance of&nbsp; internal control&nbsp; systems &nbsp;through the development of accounting information systems. An ethnomethodological approach as a form of qualitative research method was employed. The results show that the development of accounting information systems in companies is coercive, so system users must take the initiative to find out what changes exist during development process. The separation of duties is one of the changes that occurs in the structure in the finance department which is enough to help the company in maintaining company assets and avoiding human error and fraud.&nbsp
PENERAPAN MODEL PEMBELAJARAN RECIPROCAL SEBAGAI UPAYA MENINGKATKAN HASIL BELAJAR MENULIS TEKS BERITA SISWA KELAS VIII SMP NEGERI 1 BONE-BONE

Application of the Reciprocal Learning Model as an Effort to Improve Learning Outcomes Writing News Texts for Grade VIII Students of SMP Negeri 1 Bone-Bone. This study aims: (1) Describe the results of learning to write news texts by applying the reciprocal learning model in cycle I for class VIII students of SMP Negeri 1 Bone-Bone; (2) Describe the results of learning to write news texts by applying the reciprocal learning model in cycle II for class VIII students of SMP Negeri 1 Bone-Bone. This research is a classroom action research. The results of this study indicate that there is an increase in student learning activeness from cycle I to cycle II which also affects the increase in student learning outcomes. The results of increased learning in terms of the process are marked by an increase in student activity in implementing the results of observations of the activities of teachers and students in cycle I and students in cycle II. The improvement in terms of learning outcomes in writing news texts was marked by the average score of students in cycle I was 73, and the average value of students in cycle II was 84. Thus the application of the reciprocal learning model was able to improve learning to write news texts in terms of process and results learning.
Penerapan Metode SQ3R untuk Meningkatkan Hasil Belajar Siswa pada Pemahaman Membaca Cerita Mata Pelajaran Bahasa Indonesia di Kelas IV MI Cibuntu Bogor

Understanding literacy in grade 4 is already a very important part. If you still find many students whose ability to understand the meaning of their reading is poor, it will greatly affect the process of self-development of students and the learning process in class. The ability to understand reading has a big impact on all subjects so that it affects student learning outcomes. The research objective was to improve learning outcomes and reading comprehension using the SQ3R method for fourth grade students MI Cibuntu. This type of research is Classroom Action Research (CAR). Where the teacher as the executor of learning while the researcher as an observer. The research design uses the Kemmis and Mc. Taggart. The subjects of this study were students of class IV MI Cibuntu which consisted of 30 students. The object of research is the result of learning reading comprehension. Data collection techniques using observation and interviews. Data were analyzed descriptively and presented in tabular form. The results showed that there was an increase in reading comprehension learning outcomes, namely in the first cycle by 69% (enough category), then in the second cycle it increased to 82% (very good category). This means an increase of 13%. Thus the use of the SQ3R (Survey, Question, Read, Recite, Review) method in Indonesian subjects can improve learning outcomes in reading comprehension for class IV MI Cibuntu Bogor.&#x0D; Keywords: Learning Outcomes, SQ3R Method, Reading comprehension&#x0D;
Study on the effectiveness evaluation system of smart energy demonstration park construction

Under the background in the era of big data, in order to achieve the basic goal of energy saving and emission reduction, scholars from all over the world in scientific research to explore, based on the intelligent energy have the cloud collaborative optimization control and multiple functions such as data visualization management platform, this platform can make use of cloud computing, big data, advanced technology, such as artificial intelligence, the unified management and planning for energy equipment. Therefore, based on the understanding of the development status of smart energy, this paper constructs the evaluation system of the construction effect of smart energy demonstration park from the aspects of green environment and infrastructure. At the same time, the intelligent energy management situation of energy-saving demonstration park is verified and analyzed, and the final results show that the application efficiency of energy can be improved and comprehensive energy saving can be realized by using fuzzy control and other optimization algorithms.
Some issues of accumulated pedagogical experience in organizing the activities of the university department in the context of digital transformation of higher education and the transition to distance and mixed forms of education in a pandemic

The article continues the research, started with the onset of the pandemic and, as a result, a series of articles by a team of authors, that were devoted to: analysis of the current regulatory framework for distance learning and its mixed forms, the use of modern information technologies and various pedagogical methods. This article is a summary of the intermediate results of the experience of the last more than two years, during which universities have been working in an extreme mode of transition to distance and mixed forms of student education. The practical component of the article contains a brief summary of the results of the expert group surveys, that the authors conducted repeatedly during the pandemic, and on various topics. In addition, special attention is paid to the organization of research work of students using a project approach and modern information technologies in these conditions. The options for students to switch to accessible and open source software, when performing laboratory work are also considered.
EDUKASI MENINGKATAN KEWASPADAAN KEJAHATAN DUNIA MAYA PADA SISWA SMK IT NURUL AZKA CIANJUR

With the advancement of information technology, it has become increasingly risky for society to remain safe and comfortable when using social media applications. Cybercriminals take advantage of the lack of knowledge about online safety by spreading applications or links that are a form of fraud to obtain victims' data. This behavior is called phishing. Phishing often occurs on a device connected to a network. Many people have fallen victim to this crime. The purpose of this seminar is to increase awareness about online crime and provide positive insights to avoid such behavior. Additionally, it aims to determine if the Cianjur area has been greatly affected by this crime after the earthquake disaster.
Perilaku Pencarian Informasi Pertanian Oleh Petani Melalui Media Online

There are numerous communication media that can be utilized to exchange information as a result of the swift growth of technology and communication. Cybermedia, often known as online media, is one of the communication mediums that can be used. Farmers, like everyone else, require information. To get even higher yields, farmers need to know how to make compost, ward against pests, and a host of other things. According to Kuhltau, Ellis, and Wilson, the information seeking theory applied is the information seeking theory. The research methodology used in this study is library research, specifically research carried out through data collection, scientific writings that target research objects, literary data collection, or studies that are carried out to solve problems that are primarily based on a critical and in-depth analysis of the pertinent library materials.&#x0D; Keywords : Information Behavior, Online Media, Information, Farmers
Image Forgery Detection Using Deep Learning

Abstract: In recent years, with the prevalence of cameras, taking pictures has become more and more popular. Images are essential to our daily life as they contain a wealth of information and often need to be enhanced to obtain additional information. Various tools are available to improve image quality. Nevertheless, they are also commonly used for fake images, leading to the spread of misinformation. This has increased the severity and frequency of image forgery, a major concern today. Many traditional techniques have been developed over time to detect fake images. Convolutional Neural Networks (CNNs) have gained a lot of attention in recent years, and CNNs are also influencing the field of image forgery detection. However, most image forgery techniques that exist in the CNN-based literature are limited to detecting specific types of forgery (image splicing or copy-transfer). Therefore, there is a need for techniques that can efficiently and accurately detect the presence of invisible counterfeits in images. In this article, we present a robust deep learning-based system (CNN) that uses mantra-net to identify image fakes. ManTraNet is end-to-end convolutional neural network consisting of two sub-networks. One for extracting features associated with tamper evidence and the other for detecting local anomalies between features. A graphical user interface (GUI) was created for detecting digitally processed images. The method has an accuracy of 96.4% and has been proven to be efficient and practical.
Deep Learning Driven Instinctive Surveillance

It is a very boring and laborious job providing observation security. In order to determine whether the exercises that were caught were unusual or suspicious, a labour force is needed. Here, we’ll put together a structure to automate the task of reviewing video reconnaissance. We will regularly review the camera feed to look for any unusual activities like surprising or suspicious ones. and an automatic acknowledgment will be sent to the user with an alert email along with the suspicious frames and SMS to mobile number. Deep learning computations for deep reconnaissance have improved from earlier encounters. These developments have revealed a key pattern in thorough reconnaissance and promise a significant increase in efficacy. Deep observation is typically used for things like identifying evidence of burglary, finding violence, and recognising explosion potential. We will propose a spatio-temporal auto-encoder for this project that relies on a 3D convolutional brain structure. The decoder then reproduces the edges after the encoder section has removed the spatial and transient data. By recording the recreation misfortune using the Euclidean distance between the original and replicated batch, the odd occurrences are distinguished.
Analysis of Performances of Pupils in the High School of Kimwenza from a Data Warehouse Based on Data mining from 2015 to 2021

In this article, we analyze the performance of students in the eighth year of basic education before, during, and after COVID-19 at Kimwenza High School from 2015 to 2021. The machine learning model used is the algorithm classification of the decision tree with the ID3 algorithm. The confusion matrix helps us to predict in the short term these results in the future years.
Sistem Informasi Online Pemesanan Dan Penyedia Informasi Jasa Percetekan Bersasis Web

&#x0D; &#x0D; &#x0D; &#x0D; The printing industry has both positive and negative impacts on customers. One of the negative impacts is the inconsistent quality of printed products. To address this issue, the team developed the Web Nugraha Offset application, designed using Canva, Visual Studio Code, Notepad++, Figma, MySQL, HTML, CSS, PHP, JavaScript, and Bootstrap. This web-based application aims to help customers access information about the printing industry and its services before physically visiting the printing industry. This application's primary feature isprovidinge information on printing tools andallowing customers to orderg products online. The target audience for this application is customers who want to easily access information about printing services and products. The team's methodology involved developing a web-based application that integrates customer needs, printing industry standards, and modern web design techniques. The conclusion is that Web Nugraha Offset is an effective solution for customers seeking reliable printing services and an improved customer experience.&#x0D; &#x0D; &#x0D; &#x0D;