Reviewerly/exHarmony huggingface dataset:
The Concept of Triads from Gita and their Relevance in Achieving Professional Excellence

In the contemporary modern day due to the scenario of cutthroat competition, organizations are striving for excellence at every level. To achieve this, organizations are looking for managers with professional excellence and high integrity but are finding it difficult to find such people. Ethics and values are being compromised at every step to get the work done. To avoid such circumstances organizations and managers need to achieve professional excellence the right way. Bhagavad Gita can be extremely helpful to offer the mechanisms to help managers in achieving professional excellence, which in the long run not only helps in the success of the organization but also assure survival in the market. This paper conceptualizes a new framework of triads to increase professional excellence. The framework given in this paper, along with further study of Gita can be used to identify and develop tools to test the triads statistically.
Pengembangan Kampung E-Sport Dan UMKM Sebagai Wadah Remaja Produktif

The Islamic University of Malang (UNISMA) through the Institute for Research and Community Service (LPPM) held a Covid-19 Thematic Undergraduate Service Lecture (KSM). Students become volunteers to respond to the COVID-19 outbreak, which is expected to help the government provide education about Covid-19 to the public to stay alert and implement a healthy lifestyle during the Covid-19 pandemic, as well as ideas for activities while at home. KSM is carried out in the method used, namely online and offline socialization and education about preventing the spread of the Covid-19 virus. The media used are social media such as WhatsApp and Instagram. The results of the activities or programs that have been implemented are that the community realizes the importance of maintaining mental and physical health during the Covid-19 pandemic, providing education about 3M during the Covid-19 pandemic. In addition, to make teenagers productive, an E-Sport village idea was developed that serves as a forum for teenagers to play games professionally.
LAK: A Low-Overhead Lock-and-Key Based Schema for GPU Memory Safety

Graphic processing units (GPUs) are becoming an essential computational resource in a widely range of domains. At the same time, the security of GPUs has emerged as a primary concern in security-sensitive applications. Memory corruption attacks are the major threat in computer security. With contemporary discrete GPUs supporting unified address space, which allows GPU kernel functions to access the same address space with CPU host applications, memory bugs (e.g., buffer overflow and use-after-free) in GPUs can be exploited by attackers to maliciously tamping CPU data or even hijacking control flow. However, modern GPUs lack memory protection support against memory corruption attacks concurrently available in CPUs, and as a result suffer from security threats, as we demonstrate.In this paper, we migrate the conventional CPU memory protection mechanisms to GPUs and point out that directly adopting the CPU memory protection design to GPUs incurs significant performance overhead. The key reason is that: (1) fine-grained multithreading property of GPUs leads to high memory traffic for security metadata accessing, which leads to significant memory bandwidth contention between regular application data and security metadata and degrades the GPU performance; (2) shared L2 data cache suffers significant interference when regular data shared cache with metadata, which leads to increased cache miss rate and worsens the bandwidth contention problem.Based on our observation, we propose LAK, a low-overhead runtime memory safety solution for GPUs to provide comprehensive protection against memory corruption attacks. First, to provide a strong security guarantee, LAK employs a lock-and-key mechanism to enforce memory operations to only access allowed memory regions. Second, to mitigate bandwidth contention, which degrades GPU performance, LAK introduces two components: (a) a post-coalescing memory protection unit to reduce memory traffic of security metadata and (b) a highly-threaded dedicated L2 metadata cache to reduce the interference between metadata requests and data requests. Our evaluations show that LAK incurs a 19% performance degradation.
ANALYSIS OF THE TERTIARY STUDENTS’ ENGLISH WRITING ERRORS; WHAT ERRORS ARE AND WHAT LEVELS ARE

Writing, the language skill three, is a part of the productive skill of the four intergrated language skills. Error Analysis as the language learning approach to study about the problematic English written product. It is the mostly-complecated skill than the others. This current study aims at analyzing the grammatical errors made of and investigating the levels of English grammatical errors produced. This study was carried out by using a descriptive quantitative research method by using a test, a guided writing test by letting the students write the patterned texts by answering the questions given, as the instrument to obtain the data on the error types made and the levels of English grammatical errors produced. This study shows that the non-syntactical errors found are spellings (44%), punctuations (19%), Capitalizations LCL (14%), and the selection of words (23%). Whereas the syntactical errors are the use of articles (5.5%), parts of speech (8%), subject-verbs agreement (11%), using regular and Irregular verbs (8%), making phrases (9%), subjunctives (4.5%), reported speech (6%), compound sentences (15), complex sentences (16%), modal usages (7%), and using tenses (10%). There are three levels of English grammatical errors produced; basic grammar errors (43%), intermediate grammar errors (16%), and the intermediate grammar errors (41%).
Multiliteracy-Based Teaching Materials To Improve Student Understanding

This research is a development research that aims to produce a product in the form of multiliteracy-based teaching materials.The product development of this research is based on the Borg & Gall development research model proposed by Sugiyono.The development of teaching materials is carried out by applying various types of literacy according to Waskim in each part of the module including basic literacy, library literacy, media literacy, technological literacy, and visual literacy.As a result, basic literacy activities include reading material and writing assignments, media literacy in the form of using digital media and print media during the learning process, library literacy in the form of directing students to understand the basics of libraries, technological literacy, namely the use of various technologies such as cellphones and laptops, and visual literacy in the form of various images related to learning materials.All of these literacy activities can improve students' ability to understand learning.
EMPLOYABILITY OF DEEP LEARNING TOOLS AND TECHNIQUES IN THE EARLY DETECTION AND DIAGNOSIS OF LUNG CANCER

These researchers assume that the mortality rate of individuals because of lung breakdown. One of the significant causes is smoking cigarettes, which have cancer-causing agents that harm the cells that streak the lungs. Early conclusion and treatment of the infection is an imperative way to deal with beating this disease. The proposed paper explores various perspectives on determining the carcinogenic lung module through research reviews. It intends to present a graphical processing unit (GPU) for the sped-up continuous discovery of cellular research in the lungs utilizing deep learning come closer from x-ray, CT-scan and bronchoscopy images.
Classification Of Determination Of Sweet Siwalan Fruit Based On Color Feature Using Svm Support Vector Machine Method

Siwalan fruit is usually called a fruity fruit, not everyone knows about this fruit because this fruit only exists in certain regions in Indonesia. This fruit is very nutritious because it contains a lot of nutrients and has a sweet taste. But ordinary people determine the level of sweetness by means of manually tasting it directly. And with this research can help the community to distinguish between sweet and non-sweet siwalan, a system that can help classify siwalan fruit based on color is designed. With the SVM (Support Vector Machine) method and the method used is a learning machine method that can find the best hyperplane that separates 2 classes in the input space. It can be seen that the overall test data of 20 data from 3 taste siwalan (sweet, medium, lacking), the testing data obtained the highest level of accuracy of 90%, and can be said that SVM has a better level of accuracy.
Perancangan Digital Prototype of Foot-Operated Handsanitizer Stand

Research shown that the use of 17 drum hand sanitizers in the ICU surgical department was 100% contaminated with bacteria. During this pandemic, the transmission of the spread of the coronavirus must be reduced. You do this by using hand sanitizer liquid without touching the bottle. The economic conditions of the people who were affected during the pandemic have inspired to innovate existing hand sanitizer stand products. It is hoped that this research can produce a foot-operated hand sanitizer stand that is cheap and easy to manufacture. Innovation is done by making digital prototypes using Computer-Aided Design (CAD) and Computer-Aided Engineering (CAE). This research has produced a digital foot-operated hand sanitizer stand that is simple, easy to manufacture, and with materials that are easily available in the market.
O PAPEL DO ENFERMEIRO NA EFICÁCIA DOS CUIDADOS PALIATIVOS NO SETOR DE ONCOLOGIA NA PANDEMIA COVID-19

SOBRE OS ORGANIZADORES 90the dentist's role in achieving the maintenance of the mother's general health.METHODOLOGY: The present study is a review of the literature with a quantitative approach and descriptive character.The articles were obtained after searching the Database: VHL.Database: LI-LACS and BBO.With the use of keywords: Oral health, Pregnant women and Health Education.As inclusion criteria: full text available, articles in Portuguese, articles published between the years 2012-2022 and original articles.RESULT: The lack of knowledge about oral health makes many pregnant women continue to practice wrong habits, causing many oral pathologies.Therefore, it is necessary to disseminate correct information about dental treatment during pregnancy, in addition to reinforcing the training of dentists to serve this specific public.CONCLUSION: Based on strategies implemented by dentists in prenatal care, the pregnant woman can act as a multiplier agent of preventive information, thus contributing to the promotion of oral health.
BIT OPERATIONS WITH ELEMENTS OF THE RSA ALGORITHM IN ENCRYPTION-DECRYPTION OF COLOR IMAGES

An image as a stochastic signal is one of the most common forms of information. Protecting images from unauthorized access and applying is a correspondingly urgent task. This causes the use of well-known classical encryption methods in the case of image encryption. But the image is a signal that possesses, in addition to typical informativeness, also visual informativeness. Informativeness for modern image processing methods makes it possible to ensure unauthorized access. Creating an attack on an encrypted image is possible in two ways: by traditional hacking of encryption methods, or by classical methods of visual image processing (filtering, highlighting contours, etc.). In this regard, one more requirement is put forward to encryption methods in the case of their application concerning images - this is the complete noise of the encrypted image. This is necessary so that the use of visual image processing methods becomes impossible. The RSA algorithm is one of the most widely known industrial standards for encrypting signals. Unlike symmetric encryption, in an open-key encryption scheme, it is impossible to calculate the decryption procedure, knowing the encryption procedure. Namely, the working time of the algorithm for calculating the decryption procedure is so great that it cannot be implemented on any modern computers, as well as on computers of the future. Such coding schemes are called asymmetric. Therefore, the urgent task is to implement the application of the RSA algorithm so that when encrypting an image: – the cryptographic stability of the RSA algorithm has not become worse; – the full image noise was achieved to prevent the use of visual image processing techniques. The algorithm of elements of the RSA algorithm, as the most resistant to unauthorized decryption of signals, and bitwise operations for a compatible combination during encryption and decryption of images is proposed by the authors. Encryption - decryption is performed without additional noise. The proposed algorithm is applied to images in which there are strictly extracted contours. Elements of the RSA algorithm are assigned to perform bitwise operations on the intensity values of pixels of a color image. The developed algorithm has higher cryptographic stability compared to the traditional RSA algorithm. The authors described the possibilities of using elements of the RSA algorithm in bitwise transformations when encrypting and decrypting images. The results of encryption simulation for cryptographic transformations of color images of a given dimension are presented. Modified models and algorithmic procedures of key formation processes of direct and inverse cryptographic transformations have been developed. They are reduced to elemental mathematical operations.
Stretch – 3D Print – Release: Formal descriptions of shape-change in 3D printed shapes on stretched fabrics

Researchers have previously explored 3D printing 2D shapes on stretched fabrics using plastic filaments.When released, the 3D printed plastic constrains the fabric to take a 3D form.By leveraging the material properties and resultant tension between the rigid plastic and pliable fabric, it is possible to create 3D forms which would otherwise be difficult to construct with traditional fabrication techniques.Multiple factors are in play in this shape-change.Therefore, it is often difficult to anticipate the 3D form that will emerge when the stretched fabric is released.In this paper, we present our systematic bottom-up explorations on the effects of various parameters on shape-change and formalize our findings as rules.These rules help to visualize the interrelations between (abstract) shapes designed for 3D printing, (material) shapes 3D printed on stretched fabric, and (material) shapes that emerge when the fabric is released.The rules also help to explore design possibilities with this technique in a more controlled, communicable, and repeatable way.We also present a series of vaulted forms that we generated using these rules and by stretching -3D printing -releasing the fabric.
Building an Online-Based Point of Sale Application at the Anton Store

Anton Bengkulu shop is a shop that sells goods and food for daily needs. So far, the processing process at the Anton Bengkulu Store has not used a computer for sales transactions, all of these processes are still using manual notebooks, and manual notes (data attached). This makes it difficult for the Anton Bengkulu Store to find out the availability of stock of goods and reports on the sale of goods at the Anton Bengkulu Store, because they have to calculate one by one the notes that have been issued and because there are also sales that do not use notes, so that it can cause losses and the stock of goods does not match the needs. which exists. The Online-Based Point Of Sale application at the Anton Store is an application that was built to make it easier for consumers to view and order products and shop at the Anton Store. This point of sale application can be accessed via the online link http://andika.vadapp.my.id so that it can be opened anytime and anywhere. This Point Of Sale application is made using the PHP programming language and MySQL database. This application displays information on products sold at the Anton Store, and there are 2 access rights applied to this application, namely administrator access rights and consumer access rights which have different functions. Based on the tests that have been carried out, the results show that the functionality of the Point Of Sale Application at the Anton Store runs as expected.
IMPROVING WRITING ABILITY THROUGH DIRECTED WRITING ACTIVITY STRATEGY

Improving writing ability through directed writing activity strategy of the tenth-year students. This research is to find out whether or not the Directed Writing Activity strategy able to improve the writing ability. The writer applied quasi-experimental method, with two group control and experimental class. The result of the data analysis on mean score of pre-tests was 60.23 and the mean score of post-tests was 83.97. After analyzing the data by using the test formula, the result of t-test value was 6.23 and t-table value was 1.671. It means that the t-test value was greater than t-table value (1.671). This indicated that h1 was accepted and h0 was rejected. It shows that directed writing activity strategy able to improve the students’ writing ability and there is significant difference of the students’ writing ability before and after giving treatment through directed writing activity strategy.
Proyeksi Data dan Analisis Sentimen Penggunaan Vaksin di Kabupaten Indragiri Hulu Berbasis Machine Learning

Sentiment analysis is research that processed used computer that comes from opinion and emotion wich realized in shape of text. The method that used to analyze sentiment is using Text Mining used for mining the text in order to get comprehension about the important aspect. Text Mining done at social media Twitter. This research analyze public sentiment related with vaccination. Step of Preprocessing contains Crawling Data, Cleaning, Filtering, Stemming, TF-IDF, and labeling. Result from labeling and percentage calculation get percentage that Positive Sentiment is 29.17%, Negative Sentiment is 55.09% percentage, and Neutral is 15.74% percentage. Could be seen that Indonesian public still given many Negative Comments related with vaccination. Result of K-NN calculation with K-9 generate the accuracy is 84.53%.
Algebraic Modeling of Trolley Problems on a Boolean Multivalued Logic

Instead of the well-known three laws of robotics that seem difficult to be applied to solving the trolley problems in the context of frame problems, this paper proposes algebraic modeling of the trolley problems on a Boolean multivalued logic so that we can analyze psychologically any knowledge simply by quasi-optimizing the truth values of logic formulae for inference in a class of Boolean algebra. Some simulation results suggest a possibility that, by introducing an atom that takes the truth values of directly killing person(s), we can control the utilitarian over-rationalization of sacrificing person(s) on AI machines.
Multiplatform Mobile Application to Improve the Process of Tasks in an Agroexport Company

The present investigation was of a quantitative approach, of an applied type and with experimental design in the preexperimental modality, with the aim of improving the tasking process in the company Agroberries Perú de Virú through the implementation of a multiplatform mobile application, tools were used to obtaining data, such as registration and questionnaires, with the end of measuring the average time in the registration of tareos, the average time in the elaboration of the payment plans of los ta reo s, the average time in the obtaining of the reports of the task records and the level of satisfaction of the administrative staff of the company, before and after the implementation of the multiplatform mobile application, which was directed based on the Mo b ile -D methodology, following the steps: Exploration, Initiation, Production, Stabilization and Pruebas del Software, the same that was carried out in a period of 6 months, from July to December of 2021.ncipales results of the indicators of the tareos process in the implementation of the reduction of the average time of recording of sessions in 32 minutes, reduction of the average time in the elaboration of the payment schedules of the average time in 33 minutes, reduction of the average time of the day in o b ta in in g th e reports of the records of the tasks in 25 minutes, it increased the level of satisfaction, where the 42% is satisfied and the 55% is very satisfied.With the support of the statistical studies of T-Student and Wilcoxon, it is concluded that with the implementation of a multiplatform mobile application, the tare process has significantly improved.
GAPS BETWEEN EXPERT’S AND STUDENT’S EXPOSITION TEXTS BASED ON SYSTEMIC FUNCTIONAL LINGUISTICS (SFL): IMPLICATION FOR TEACHERS

The lack of students’ ability to compose expository text is still found in many mainstream classrooms. The inability may be caused by many factors such as the complexity of the text itself, the texts in the textbook which are often not representative enough to be the model texts, and teachers’ lack of awareness of teaching genre. This study intends to investigate the gaps between the model (expert) and students’ texts at genre level and register level based on SFL perspectives. To serve the aims, this study employed case study design in attempt to get clear description from the case investigated. The data gathered from the analysis focusing on genre level and register level were presented in narrative form and interpreted descriptively. The finding showed that at genre level the student’s text did not include the restatement of thesis which is different from the expert’s text. Meanwhile, at register level, the student’s text appears to have lack of cohesive devices and other mode choices (e.g. lack of marked theme, connectives) which lead into the lack of texture of the text. Careful design of activities in each curriculum cycle and explicit teaching of both schematic structures and registers of expository are the implications suggested by this study.
Efektivitas Learning from Home Selama Pandemi Covid-19 di SMP Negeri 2 Sindang Kabupaten Indramayu Jawa Barat

The purpose of this study is to analyze the effectiveness of the implementation of the learning from home (BDR) process during the Covid-19 pandemic at SMP Negeri 2 Sindang Indramayu Regency. This study used a combination method (mixed methods). The data collection technique used is questionnaires that are given to students once a month. The subject of this study is a student of SMP Negeri 2 Sindang Indramayu Regency. Based on the results of the study, in general, the implementation of learning from home (BDR) in students of SMP Negeri 2 Sindang Indramayu Regency runs quite effectively with a percentage of 60-79%. The implementation of learning from home has less good effectiveness in the difficulty of understanding subjects, materials, and evaluation processes. Recommended in learning from home (BDR), teachers are required to be able to design learning activities from planning to evaluation in a simpler, creative and effective way.
Neural Network Based Comparison of Real and Synthetic Data Series in TeraHertz Domain

Extension of real data by synthetic data becomes more important aspect of the virtualization technics today. In this paper we demonstrate how synthetic data generated from real data can be used in the supervised classification process of three different recurrent neural networks: Long-Short Term Memory (LSTM), Bidirectional LSTM (BiLSTM) and Gated Recurrent Unit (GRU). Other aspect is presented concerning the influence of the noise to the classification of real and synthetic data series. The paper demonstrates that LSTM network has better classification performance than GRU, even the last one has higher accuracy during the training. Synthetic data can eternalize just part of the features of the original real data and extraction efficiency of these characteristics depend on the applied neural network.