Reviewerly/exHarmony huggingface dataset:
Classification Of Sexually Transmitted Infectional Diseases Using Artificial Neural Networks

Many diseases are caused by bacteria, some of which can be easily noticed by ordinary people for immediate treatment. However, not with this one disease, namely sexually transmitted infections (STIs). This STI disease can be spread mainly through sexual intercourse, both vaginal, anal and oral sex. Some STI diseases can also be transmitted in non-sexual ways, such as through needles, blood or other blood products. Indonesia is one of the countries whose handling can be said to be not optimal as in several other countries. This is the result of a lack of education on STI diseases in the community. Based on this background, it can be concluded that there is a need for an intelligent system to classify STI diseases based on their symptoms. Therefore, the authors propose this research topic by applying the Artificial Neural Network method. Based on the test results, the application of the Artificial Neural Network method shows that 80% of the predicted data is in accordance with the actual data.
Identifying and Benchmarking Natural Out-of-Context Prediction Problems

Deep learning systems frequently fail at out-of-context (OOC) prediction, the problem of making reliable predictions on uncommon or unusual inputs or subgroups of the training distribution. To this end, a number of benchmarks for measuring OOC performance have recently been introduced. In this work, we introduce a framework unifying the literature on OOC performance measurement, and demonstrate how rich auxiliary information can be leveraged to identify candidate sets of OOC examples in existing datasets. We present NOOCh: a suite of naturally-occurring sets, and show how varying notions of context can be used to probe specific OOC failure modes. Experimentally, we explore the tradeoffs between various learning approaches on these challenge sets and demonstrate how the choices made in designing OOC benchmarks can yield varying conclusions.
SELECTION OF STATISTICAL METHODS FOR PROCESSING DATA OF A PEDAGOGICAL EXPERIMENT

The article deals with the issue of statistical methods for processing data obtained as a result of a pedagogical experiment. The authors carry out the analysis of sources on statistical processing of pedagogical data and consider the stages of data processing in the pedagogical experiment. A general algorithm for the selection of statistical methods for data processing in an experiment is described and the principles that should be taken into account when implementing this algorithm are presented. The authors give an example of statistical processing by reference to a specific task.
Development Of Socially Desirable Characteristics And Values Of Students In Literature Teaching

This paper emphasizes the effects of teaching literature in the younger grades of primary school in the context of the development of socially desirable behavior of students. The aim of this research was to determine how much literature content for children, which is the part of the curriculum for pupils attending classes from the first to the fourth grade of the elementary school, with the application of adequate teaching methods and affirmation of socially desirable values, contribute to the development and nurturing of socially desirable behaviour of students. The research can be marked as ex post facto, with the application of a descriptive method and a survey procedure. The findings of the research show that the texts of children’s literature, with adequate methodical procedure during their interpretation, contribute to the development of socially desirable characteristics and values ​​of students.
Error in Students' Thesis Writing: Syntactical and Morphological Error Analysis

Research on students' error writing has grown in the last few decades. In general, research on writing errors focuses on the results of students' writing in classes with various writing genres. Students in university also find some obstacle in their English writing, especially for EFL students that write their thesis in English.  The students still made errors in their thesis of writing. However, research on errors in thesis writing is relatively unexplored. Therefore this study tries to explore the errors made by students when writing their thesis and factors of error making. This study uses data on ten students’ undergraduate theses, which were randomly selected from 100 student theses from 2018-2021, and used an error analysis framework put forward by (Dulay et al., 1982). The results show that six categories of errors found in the student thesis, namely errors in the use of verbs with 24.54%, errors in the application of prepositions 24.39%, morphological errors 20.12%, errors in using articles 12.58%, errors in writing passive voice 9.45%, and the use of tense selection with 8.92%. Inter-lingual factors cause errors in students' thesis writing. The findings shows that the students in writing thesis still made errors even though they have been guided by the thesis supervisors. Therefore, in teaching academic writing, it is advisable to pay attention to these two factors so that students' writing abilities can improve. Further studies on error analysis in thesis writing are still needed to explore with varied types of errors and more data for analysis.
Characteristics of school learning

Being very complex and vast, as the essence of the educational process and as an important availability of any being, the phenomenon of learning has been and is a topic of reflection and major interest for the whole society. In this article we aimed to address the characteristics of learning from an educational perspective, considering that their knowledge, but also other aspects of learning, such as the type of learning, its evolution in the development of pedagogical science, the perception of methodological derive from this understanding, it compensates an interpretive approach of a new type of learning, generated, first of all by the new socio-cultural transformations of the time.
The effect of reward and punishment in learning english of madrasah aliyah laboratorium uin su medan

This research was conducted to know the effect of applying the effect of reward anf punishment in learning English of Madrasah Laboratorium UIN SU Medan in the academic year of 2018/2019. The population of this research was the class X –MIA and X-IA and the samples of this research was taken from 25 students of Experimental class (X –MIA) and 30 students of control class (X-IA). The researcher used a reading test to collect the data and the instrument for collecting data was multiple choice. The test consist of two types, namely pre-test and post-test.the data were analized by using t-test formula. After analyzing the data, the result of the research showed that the value of t-observed was higher than the value of t-table (5,128 ) >(1.676) at the level significant of a =0.05 and at the degree of fredom (df) = 48. It can be concluded that applying peer response technique has significant effect on students achievement in reading or in other words the alternative hypothesis (Ha) was accepted.
Hierarchical Data Integrity for IoT Devices in Connected Health Applications

Internet of things devices are increasingly replacing expensive monitoring devices in many environments such as healthcare. People can eventually own their data, collected from smart personal devices, store them in a variety of cloud services, and make them available to service providers of their choice. In such cases, whenever service providers use these data to provide appropriate services, the data owner may become responsible for ensuring the integrity of data retrieved from multiple points. We present a Hierarchical Data Integrity (HDI) approach to verify if the data, sent by monitoring devices to the cloud, remain unchanged. It is hierarchical as follows: there is a quick verification of the integrity of recent health data (in less than 1 ms), followed if necessary by a low overhead secure option for verifying the integrity of both recent and historical data (still only in 6:1 ms). Further, the hierarchy allows granular identification of data units that fail integrity checks, without requiring any key sharing. It is possible for a data owner to periodically (randomly) use a more secure process to verify the integrity of data. This reduces the computation, storage, and time of integrity verification as shown by analysis, simulation, and hardware implementation.
Video Shot Segmentation: Hybrid Approach using YOLOv4 and Deep Sort Algorithm

A shot is a sequence frame in an edited video taken by a single camera. Shot Segmentation is the process of splitting video and finding the boundaries of video data. In this paper, we study the method in content-based video retrieval which uses object detection and tracking for video segmentation. Data collected via segmenting can be categorized in a hierarchy manner as scene layer, camera shot layer, and the frame in their accordance. The data collected is used for segmentation. YOLOv4 is used to enhance the accuracy and the process of tracking and detection much faster.
APLIKASI ADMINISTRASI PENERIMAAN SANTRI BARU (STUDI KASUS: PONDOK PESANTREN QUR’AN AL-MAJIDIYAH)

Pondok Pesantren Qur'an Almajidiyah is an institution that is engaged in Islamic education. Every year, the Qur'an Al-Majidiyah Islamic Boarding School holds admissions and selection of new santri candidates and also accepts transfer students from other Islamic boarding schools. The prospective students' data is recapitulated into excel as a database and the data often has a mismatch with the original data during the value entry process resulting in a large amount of energy and energy expended so that the data collection process such as preparing the selection examination assessment forms is still taking a long time. From these problems, an application is needed that can help the process of admitting new students become easier. This final project presents an administrative application for admission of new students. This application is built using PHP (Hypertext Processor) as a programming language and MySQL as a database. This application is tested using black box testing which results in the system being successful according to its function. And testing uses the User Acceptence Test (UAT) and Usability Testing. Based on the User Acceptance Test (UAT), a total of 94% was obtained and Usability Testing was obtained for a total of 90.3%, which means that the administrative application for admission of new students has been accepted by prospective students, the PSB committee and treasurers of the Qur'an Al-Majidiyah Islamic Boarding School. With this application, it is able to make it easy for the Institute to collect data on prospective new students.
Issues in Computer-Oriented Innovations in Zimbabwean Education

This chapter examines developments in computer-oriented innovations and raises a number of issues pertinent to the assessment of the new technology in the context of Zimbabwe. It considers the historical context in which the new technology is emerging; an assessment of the response of the educational system to the bottom-up emergence of the computer as an educational tool will be made; and the expectations associated with computer technologies will be assessed within the framework of national development goals. The problems of narrowing the gap in access to technology between Zimbabwean communities appear to be as intractable as those of bridging the North-South gap. The diminishing economic prospects facing the country, particularly since 1985, make it virtually impossible to anticipate state intervention in favor of the poorer schools. Ultimately the hope for the poor is more rapid economic growth, and indications are that the main constraints to that growth have their origins outside the educational system.
Explaining Latent Representations with a Corpus of Examples

Modern machine learning models are complicated. Most of them rely on convoluted latent representations of their input to issue a prediction. To achieve greater transparency than a black-box that connects inputs to predictions, it is necessary to gain a deeper understanding of these latent representations. To that aim, we propose SimplEx: a user-centred method that provides example-based explanations with reference to a freely selected set of examples, called the corpus. SimplEx uses the corpus to improve the user's understanding of the latent space with post-hoc explanations answering two questions: (1) Which corpus examples explain the prediction issued for a given test example? (2) What features of these corpus examples are relevant for the model to relate them to the test example? SimplEx provides an answer by reconstructing the test latent representation as a mixture of corpus latent representations. Further, we propose a novel approach, the Integrated Jacobian, that allows SimplEx to make explicit the contribution of each corpus feature in the mixture. Through experiments on tasks ranging from mortality prediction to image classification, we demonstrate that these decompositions are robust and accurate. With illustrative use cases in medicine, we show that SimplEx empowers the user by highlighting relevant patterns in the corpus that explain model representations. Moreover, we demonstrate how the freedom in choosing the corpus allows the user to have personalized explanations in terms of examples that are meaningful for them.
SOSP: Efficiently Capturing Global Correlations by Second-Order Structured Pruning.

Pruning neural networks reduces inference time and memory costs. On standard hardware, these benefits will be especially prominent if coarse-grained structures, like feature maps, are pruned. We devise two novel saliency-based methods for second-order structured pruning (SOSP) which include correlations among all structures and layers. Our main method SOSP-H employs an innovative second-order approximation, which enables saliency evaluations by fast Hessian-vector products. SOSP-H thereby scales like a first-order method despite taking into account the full Hessian. We validate SOSP-H by comparing it to our second method SOSP-I that uses a well-established Hessian approximation, and to numerous state-of-the-art methods. While SOSP-H performs on par or better in terms of accuracy, it has clear advantages in terms of scalability and efficiency. This allowed us to scale SOSP-H to large-scale vision tasks, even though it captures correlations across all layers of the network. To underscore the global nature of our pruning methods, we evaluate their performance not only by removing structures from a pretrained network, but also by detecting architectural bottlenecks. We show that our algorithms allow to systematically reveal architectural bottlenecks, which we then remove to further increase the accuracy of the networks.
Impactos da pandemia covid-19 na saúde mental e motivação dos profissionais de enfermagem: revisão integrativa

Objective: to identify in the literature the impacts of the on the and of nursing professionals. Method: integrative review carried out on the VHL platform for articles published in national and international journals, using the LILACS, MEDLINE and BDENF databases with the descriptors COVID-19; Mental health; Motivation; Pandemic. Articles in Portuguese and English published from December 2019 to July 2021 were analyzed. Results: The literature search occurred by crossing the descriptors: covid-19 and mental health and motivation and pandemic being found 71 articles. Through the inclusion and exclusion criteria, the total sample consisted of 10 publications. Conclusion: The results of this research point to the care of nursing professionals while working to combat the pandemic. The selected studies bring as a motivational factor the recovery of hospitalized patients, professional and emotional self-satisfaction and the sense of accomplishment'
Dynamic Matrix Algorithms and Applications in Convex and Combinatorial Optimization

Dynamic algorithms are used to efficiently maintain solutions to problems where the input undergoes some changes.This thesis studies dynamic algorithms that maintain solutions to linear algebra pro ...
INTEGRATION OF DIGITAL AND PEDAGOGICAL TECHNOLOGIES IN THE PROCESS OF TEACHING STUDENTS OF SOCIO-ECONOMIC AND PEDAGOGICAL AREAS OF TRAINING

Тhis study examines how to integrate the benefits of role-playing, collaborative and interactive learning, and realistic case studies in a virtual environment. The article describes the experience of implementing an educational model based on the online virtual reality platform Second Life (SL), which provides students with the opportunity to participate in role-playing games, interactive learning, and social interaction in the learning process. The proposed model consists of three modules: the module for the preparation of information, joint modeling, a reflexive module that provides practical skills by participating in a 3D game. Students and teachers who participated in the testing of the model gave a positive assessment.The main goal of developing an educational model that's based on Second Life is to improve the educational process, using the advantages of role-playing games, collaborative and interactive learning, as well as realistic cases in a virtual environment. This can be achieved using three modules: an information preparation module, a joint simulation module for studying the situation, and a reflexive module.Unlike some virtual educational systems, this model is specifically designed to help students understand the causes of problems and how to solve them through data visualization and simple modeling, easy communication, flexible interaction, collaboration, and immersion in the SL environment. By integrating the three modules in the SL environment, the model will provide more opportunities for effective collaborative learning in various fields of knowledge.In the information preparation module, teachers and students use moving avatars to perform all the actions presented in the demo virtual room in SL with the support of the Semantic Wiki Template. This template provides the platform with sections of information on the studied subject. Using it, teachers can easily pass practical tasks to the student, while students can respond and present results without having any deep training in the field of information technology.
Robust collaborative collision avoidance between robots with nearly symmetric crossing trajectories

The growth in both acceptance and usage of mobile robots have given risen to novel challenges in robot navigation. Often, robots that share a space but are unable to communicate are required to safely avoid each other even under sensor noise. Current approaches have often relied on the assumption that collaboration is always done correctly, in practice, sensor noise might lead robots to make avoidance motions that are not mutually beneficial and do not actually decrease the collision risk. Our approach intends to mitigate the negative impact of sensor noise in collaborative collision avoidance of robots. As a consequence, even if robots initially take non-mutually beneficial avoidance motions they would correctly perceive their role in the next decision step.
An Analysis of the First Grade Students’ Speaking Ability in Expressing Intention at SMAN 1 Bayang Pesisir Selatan. Thesis. English Department, Bung Hatta University.

Expression of Intention is expression used to talk about plans to do a specific things in the future (Wikipedia, 2019). Expression of Intention is one of the speaking materials taught at senior high school but most of the students are not able to express intention well in their speaking. Relating to this, the researcher conducted this study on purpose of describing the students’ ability in expressing intention.                 The population of this research was the first grade students. The total number of population of this research was 241 students. The researcher applied stratified cluster random sampling to take the sample. The total number of the sample was 58 students. The instrument used is speaking test. The test was reliable because the reliability index of the test was 0,89 (Appendix 4).                 The result of this research showed that the students’ speaking ability in expressing intention was high. It is proved by the fact that 98,3% students had high ability. In specific, students’ ability in expressing idea or content was low. It is supported by the fact that 82,8% students had low ability. The ability of the students’ in choosing vocabulary was high. It is supported by the fact that 100% students had high ability. The ability of the students in using grammar was high. It is supported by the fact that 93,1% had high ability. The ability of the students in pronouncing words was high. It is supported by the fact that there were 98,3% students who had high ability. The ability of the students in fluency was high. It is supported by the fact that there were 98,3% students who had high ability.                 Based on the result of this research, the researcher concluded the first grade students’ ability in expressing intention was high. Dealing with conclusion, the researcher suggests that the English teachers to mantain the students’ ability by giving more oral practices. The students are suggested to do more practices using expression of intention in daily life to increase their ability in expressing content was  low. Key word : Expression of Intention, ability, speaking.
Design-Related Pathways

Designing behavior can range from high-level product strategy to low-level decisions about interface components. As an interaction designer, the employees might work alone and be responsible for the end-to-end design and production of a mobile game, for example, or the employee might be part of a large enterprise software team, working with product managers, business analysts, developers, quality assurance, and technical support. As a design tool, wire-framing requires the designer to understand all the elements that need to be on the screen, how they should be prioritized and organized, what actions can be taken, and what happens after an action is initiated. A common lightweight technique is paper prototyping, in which screens are drawn on paper and the designer swaps out drawings to simulate screen transitions. Paper prototypes are an effective way to quickly validate our ideas and make changes on the fly.
Ilmu Pengetahuan Teknologi Informasi dan Kepedulian Pemerintah

Abstract : The aim of this referential study was to distribute any information about sciences and information technology advancement about which such technology has currently very important roles, so that anyone masters the information technology he/she acquires the world at present time. If the local government concern this matter, it is this prosperious territory in which any information can be accesssed via internet networks. Moreover, the government can provide any information for foreign countries in order to attract the invi!stors will to invest their own money in such prosperious territory so that the local ad ministrative can increase local income as its capacities. When the government already provided internet networking, the territory will be easily able to control some aspects, particularly those in relation to national and local budgeting, including to another assets. In addition, the local authority can monitor the computer network available through internet. With internet infrastructure, the local authority, of course, helped its community in providing any important and valuable information. Concerning this matter, the government already increased their welfare, since suchfacilities could give business information at all, so that it will be able to improve public welfare. Keywords : Knowledge of information, technology and empowering government