Reviewerly/exHarmony huggingface dataset:
Influence of an atypical academic year on the physical activity levels of 1st year students Physiotherapy

Introduction: Portugal is one of the European Union countries with the lowest rate of Physical Activity (PA), with only 40% of the population being active. During the university period, there is a coincidence of increased autonomy and decision-making among students, and changes in life habits, usually associated with a decrease in PA practice. In percentage terms, 30% of university students are considered physically inactive. There are few studies on PA levels in higher education students, namely in the Physiotherapy course, and even less that relate this topic to the imposed containment measures, due to the COVID-19 pandemic. Objective: Description and comparison of the PA levels of students enrolled in the 1st year of a Physiotherapy Degree, in the academic year 2019/2020. Understand if there are differences in the practice of PA, at different times of the school year, one of which is the lockdown period. Methods: Data were collected using the “International Physical Activity Questionnaire” (IPAQ). It was shared in 3 moments (academic period without evaluations, exam period and lockdown), being a longitudinal study. Results: Physiotherapy students seem to be active regarding the parameter of PA frequency. With the lockdown, there was an increase in the level of PA in 20% of students compared to the school period without assessments, with 14.3% being raised to a high level of PA. The high percentage of students (42.9%) who maintained a high PA level should be highlighted. There was a significant difference from the 1st to the 2nd moment, at the IPAQ level, with a decrease in PA (p = 0.03) with the exam period. Discussion: In the exams period, although the workload is less, there seems to have been a decrease in PA levels. In the lockdown, aspects are presumed to have been removed, which in a normal situation would compromise the practice of PA, leading to better results in some of the variables. The lockdown doesn’t appear to have had a negative impact on PA. Conclusion: The objective of this study was achieved, establishing a starting point for the assessment of PA levels, in university students, in the period of COVID-19. As the sample is composed of future health professionals, it’s important that they be the first to adopt an active lifestyle, thus promoting it.
Kajian Rancangan Sistem Informasi pada Industri Pariwisata menggunakan Arsitektur Enterprise

&lt;p&gt;&lt;strong&gt;Abstrak&lt;/strong&gt;. Pandemi &lt;em&gt;Covid-19&lt;/em&gt; menyebabkan masyarakat yang gemar berwisata menjadi tidak bebas untuk melakukan aktivitas di luar rumah akibat adanya kebijakan pemerintah menerapkan pembatasan beraktivitas. Kebijakan pembatasan beraktivitas di luar rumah ini menjadi dasar pemikiran untuk merancang sistem informasi pariwisata secara virtual, dengan memanfaatkan berbagai teknologi &lt;em&gt;cloud computing&lt;/em&gt; yang dirancang dengan &lt;em&gt;Enterprise Architecture&lt;/em&gt;. Tempat-tempat wisata dan situs-situs budaya yang tidak dioperasikan, diubah menjadi produk digital dengan memanfaatkannya sebagai bahan untuk memproduksi virtual wisata. Paper ini menyajikan rancangan sistem informasi wisata berbasis virtual. Rancangan tersebut digambarkan dalam &lt;em&gt;enterprise architecture&lt;/em&gt; yang terdiri dari &lt;em&gt;Business Architecture&lt;/em&gt;, &lt;em&gt;Information Architecture&lt;/em&gt;, &lt;em&gt;Technology Architecture&lt;/em&gt;, &lt;em&gt;application architecture,&lt;/em&gt; serta menyajikan &lt;em&gt;opportunities and solution&lt;/em&gt;.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Kata kunci&lt;/strong&gt;&lt;strong&gt;&lt;em&gt;:&lt;/em&gt;&lt;/strong&gt;&lt;em&gt; Business Architecture; Information Architecture; Technology Architecture; Virtual Wisata&lt;/em&gt;&lt;/p&gt;&lt;p align="center"&gt; &lt;/p&gt;&lt;p&gt;&lt;em&gt;&lt;strong&gt;Abstract&lt;/strong&gt;. The Covid-19 pandemic has caused people who like to travel to be not free to carry out activities outside the home due to government policies implementing activity restrictions. This policy of limiting activities outside the home is the rationale for designing a virtual tourism information system, by utilizing various cloud computing technologies designed with Enterprise Architecture. Tourist attractions and cultural sites that are not operated are converted into digital products by using them as materials for producing virtual tours. This paper presents the design of a virtual-based tourist information system. The design is described in an enterprise architecture which consists of Business Architecture, Information Architecture, Technology Architecture, application architecture, and presents opportunities and solutions.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Kata kunci&lt;/em&gt;&lt;/strong&gt;&lt;strong&gt;&lt;em&gt;:&lt;/em&gt;&lt;/strong&gt;&lt;em&gt; Business Architecture; Information Architecture; Technology Architecture; Virtual Tourism&lt;/em&gt;&lt;/p&gt;
PE-AONT: Partial Encryption All or Nothing Transform

We introduce PE-AONT: a novel algorithm for very fast computational secret sharing scheme.The core idea of this scheme is to encrypt the data only partially before applying an all-or-nothing transform that will blend the encrypted and non-encrypted data.By doing this, we achieve much better performance than relevant techniques including straightforward encryption.To this regard, a performance benchmark is provided.Interestingly, when the ratio between the number of encrypted and non-encrypted fragments is wisely chosen, data inside fragments are protected against exposure of the encryption key unless all fragments are gathered by an attacker.Therefore, by choosing the right parameters, we can achieve key exposure protection, faster processing, and a better overall protection.
Approximate Dictionary Searching at a Scale using Ternary Search Trees and Implicit Levenshtein Automata

Approximate Dictionary Searching refers to the problem of finding entries in a dictionary that match a search word either exactly or with a certain allowed distance between entry and search word.Extant computationally efficient data structures and algorithms addressing this problem typically do not scale well to large alphabets and/or dictionaries, often requiring prohibitive amounts of memory as the sizes of alphabets and dictionaries increase.This paper presents a data structure and an algorithm for approximate dictionary searching that rely on ternary search trees and implicit Levenshtein automata and scale well with the sizes of both alphabets and dictionaries.
Возможность построения модульной системы квантового распределения ключей в атмосфере

The possibility of quantum key distribution in the atmosphere has been experimentally demonstrated by coupling commercially available quantum key distribution units designed for fiber-optic communication lines with atmospheric optical communication terminals. For distances up to 3100m, data on losses in a quantum channel on an optical path were obtained and the influence of systems for intelligent adjustment of atmospheric communication terminals on the synchronization system of quantum communication blocks was studied. It has been established that failures of synchronization systems in the case of quantum key distribution in the atmosphere at distances greater than 10m are due to the peculiarities of the algorithm implemented in the quantum communication unit.
HARDWARE ROOT OF TRUST BASED TPM: THE INHERENT OF 5IRECHAIN SECURITY

The hardware root of trust is already a critical component of the security architecture of enterprise and government networks that allows for efficiently deployed and managed data protection across the entire data life cycle. For all these reasons, the TPM will be a major area of attention for security professionals today and tomorrow. The 5ire ecosystem ensures that all the nodes in the blockchain ecosystem establish a certain level of trust. A hardware root of trust based on the Trusted Platform Module (TPM) is introduced for this purpose. A TPM device will allow the 5ire nodes to remotely attest the devices for any malicious code.
Membership Inference Attacks on Aggregated Time Series with Linear Programming

Aggregating data is a widely used technique to protect privacy.Membership inference attacks on aggregated data aim to infer whether a specific target belongs to a given aggregate.We propose to study how aggregated time series data can be susceptible to simple membership inference privacy attacks in the presence of adversarial background knowledge.We design a linear programming attack that strongly benefits from the number of data points published in the series and show on multiple public datasets how vulnerable the published data can be if the size of the aggregated data is not carefully balanced with the published time series length.We perform an extensive experimental evaluation of the attack on multiple publicly available datasets.We show the vulnerability of aggregates made of thousands of time series when the aggregate length is not carefully balanced with the published length of the time series.
Python Wheels

The process of packaging, sharing, and distributing Python code across teams and developers within an organization can become a complex task. There are a few methods of packaging and distributing Python code including eggs, jars, wheels, and more. In this chapter, you will learn more about ideal methods for creating a Python wheel file to package and distribute custom code. A Python .whl file is a type of built distribution that tells installers what Python versions and platforms the wheel will support. The wheel comes in a ready-to-install format which allows users to bypass the build stage required with source distributions.
Using silent demonstration to increase students’ writing in procedure text at the second grade students of SMK-SMTI Bandar Lampung

This research was aimed to find out whether there is a significant improvement of students’ writing ability before and after being taught through Silent Demonstration. By applying quantitative approach, the researcher intended to discuss the difference of students’ procedure text writing. The researcher chose XI APL 2 at SMK-SMTI Bandar Lampung students as a sample, which the number of students reached 37 people using purposive sampling. This study employed one-group pre-test and post-test design by comparing the mean score of the tests. The result showed that the mean of post-test, which is 79.49 is higher than the mean of pre-test at 64.03. In addition, the significance of the test is 0.000 lower than 0.05. It can be also supported by the evidence that verifies the statement was the t-value which showed higher number than t-table by having the result 19.407 &gt; 2.0281.
Determine the number of clusters by data augmentation

Determining the number of clusters is crucial for the successful application of clustering. In this paper, we propose a new order-determination method called the data augmentation estimator (DAE), for the general model-based clustering. The estimator is based on a novel idea that augments data with an independently generated small cluster, which enables us to justify how the instability of clustering changes with the number of clusters assumed in clustering. The pattern of instability provides an alternative characterization of the true number of clusters to the commonly used goodness-of-fit measure. By combining the two sources of information appropriately, the proposed estimator reaches asymptotic consistency under general conditions and is easily implementable. It is also more efficient than the conventional BIC-type approaches that use the goodness-of-fit measure only. These properties are illustrated by the simulation studies and real data examples at the end.
MIAMI: MIxed Data Augmentation MIxture

Performing data augmentation for mixed datasets remains an open challenge. We propose an adaptation of the Mixed Deep Gaussian Mixture Models (MDGMM) to generate such complex data. The MDGMM explicitly handles the different data types and learns a continuous latent representation of the data that captures their dependence structure and can be exploited to conduct data augmentation. We test the ability of our method to simulate crossings of variables that were rarely observed or unobserved during training. The performances are compared with recent competitors relying on Generative Adversarial Networks, Random Forest, Classification And Regression Trees, or Bayesian networks on the UCI Adult dataset.
Slicers and Cross-Filtering

With your filters in place, you now have some extremely powerful and insightful dashboards ready to be paraded in front of your colleagues, bosses, and clients. Yet static illustrations can only tell a story in a certain way. What you need to clinch the deal or convince an audience is some truly telling interaction with your facts and figures. Once again, Power BI Desktop is the tool of choice, as it highlights the key metrics in your presentation with a single click—and consequently makes your point, simply and elegantly.
The Challenges of Optimizing Early Childhood Learning Process in the Era of Internet of Things

The general problem of early childhood education in Indonesia usually lies in the low acceptance of parents towards the implementation of Early Childhood Education, the problem of educator professionalism, the problem of financing the implementation of minimal education, and the low quality of Early Childhood Education.Through this study, the author will explain and analyze the use of traditional musical instruments as a model of learning in innovative and creative early childhood.It is expected that the analysis and information generated from this research can provide input for PAUD educators in Indonesia to improve the quality of education and interest in learning and productivity of early childhood.The research method used using qualitative approach descriptive with research method library research.The results of this study show that the quality of Early Childhood Education can be supported through creation to the maximum in utilizing local culture in the surrounding environment and can be found in certain activities.Playing traditional music, in addition to stimulating children's competence, can also increase the general knowledge of children, the love of children to the nation and the country, and admire the values of Indonesian cultural art.Research Contribution: The study of early childhood education learning model through traditional musical instruments contributes thinking for educators in developing the competence and love of students to local culture from an early age without having to abandon technological advances.
The correlation between students' reading fluency and their reading comprehension

As stated in the literature, it is widely accepted that reading fluency and comprehension are critical components of English learning. Reading fluency, which refers to a person's ability to read a text quickly and accurately, is a necessary skill for students when learning English, and numerous studies on reading fluency and comprehension have been conducted. However, research on the relationship between reading fluency and reading comprehension at the high school level is still uncommon. Therefore, this research sought to determine the relationship between students' reading fluency and reading comprehension. This study took a quantitative approach, collecting data from 36 students in Class XI IPA 1 at UPT SMA Negeri 3 Empat Lawang using an oral reading fluency test and a reading comprehension test. The data were analysed using the Person Product-Moment correlation analysis in SPSS Version 20 for Windows. This study found a strong correlation between reading fluency and reading comprehension (0.000&lt;0.829). The higher the reading fluency of students, the higher their reading comprehension achievement will be. On the contrary, the lower the reading fluency of students, the lower their reading comprehension achievement. The implications of the study’s findings and suggestions for future research are also discussed.
Schema Evolution

For ELT scenarios where the schema of the data is constantly evolving, you may be seeking a method for accommodating these schema changes through schema evolution features available in Azure Databricks. Frequently, customers are interested in learning more about the features of schema evolution that are available in Azure Databricks and how they can get started with building notebooks and writing code that can accommodate evolving schemas.
Blockchain-Based Data Sharing Approach Considering Educational Data

The innovation of cloud computing technologies gained huge interest wherein more individuals started to outsource their data to cloud-based servers. However, open networks and untrusted cloud platforms face privacy and security issues while outsourcing data to the cloud. The proposed Blockchain-based data sharing mechanism effectively solves failure issues of the cloud storage system and provides several benefits by maximizing throughput. This framework embeds the interplanetary file system and blockchain for effective data sharing between cloud owners and the requester. Here, the system comprises five different entities and the proposed method involves six different phases. This model acquires interplanetary file system (IPFS) for effective data sharing between cloud owners and the requester. The proposed method provides superior performance in contrast to other techniques with the highest genuine detection rate of 0.880, minimal communication overhead of 0.642, and maximal private rate of 0.564.
Discovering How to Attack a System

We evaluate the performance of a genetic algorithm to discover the best set of rules to implement an intrusion against an ICT network.The rules determine how the attacker selects and sequentializes its actions to implement an intrusion.The fitness of a set of rules is assigned after exploiting it in an intrusion.The evaluation of the distinct sets of rules in the populations the algorithm considers requires multiple intrusions.To avoid the resulting noise on the ICT network, the intrusions target a digital twin of the network.We present a preliminary experimental results that supports the feasibility of the proposed solution.
Analisis Penggunaan Google Form Dalam Pelaksanaan PTS di Masa Pandemi Covid-19 Siswa Kelas V SD Negeri 01 Kebondalem

The Covid-19 pandemic hit Indonesia in mid-March 2020, so the education system in Indonesia had to change. The learning process that was originally done face-to-face now has to be done online or remotely. From this, teachers must be able to use or utilize media or technology as alternative media in the learning process or assessment process. This study aims to analyze the use of Google Forms in the implementation of PTS during the Covid-19 pandemic as an alternative media for fifth grade students of SD Negeri 01 Kebondalem Pemalang Regency and find out the advantages and disadvantages of using it. The method used in this research is descriptive qualitative research method. The data in this study were obtained using data collection techniques in the form of observation, interviews, questionnaires, and documentation. Based on the research, it can be concluded that the use of Google Form can make it easier for teachers to distribute PTS questions to students and make it easier for teachers to make assessments. The shortcomings in its use are that students have difficulty accessing links caused by the availability of quotas, signal interference which can cause pages to not be opened or errors to occur. Another obstacle is that the cellphones used by students are partly owned by their parents so that teachers find it difficult to determine the time limit for work
Deep Morphological Gradient for Recognition of Handwritten Arabic Digits

Arabic is among the most spoken languages in the world today. Despite this, the optical recognition of Arabic manuscript characters by the algorithms of deep learning remains insufficient. Recently, some studies are moving towards this side and give remarkable results either for the recognition of alphabets or Arabic numbers. We highlight in this work a deep morphological gradient for the problem of recognition of Arabic manuscript digits. We use the multilayer perceptron (MLP) network used in the conference paper (Ashiquzzaman, A., & Tushar, A. K. (2017). Handwritten Arabic Numeral Recognition using Deep Learning Neural Networks), which is preceded by the morphological gradient algorithm to detect the contours of the digits. This model is applied to the database of Arabic manuscript digits available on Kaggle (Arabic Handwritten Digits Dataset), which consists of 70,000 images. The classification accuracy of the model was 99.9% with a very minimum loss of 0.09%.
Sumber-Sumber Motivasi Belajar Dari Rumah Peserta Didik Kelas VII SMP

The corona virus pandemic that has hit the world requires everyone to follow health protocols to protect themselves and others from disease transmission. This has also led to many new policies made by the government, especially in education, one of which is a learning system from home for formal education. Education during the pandemic is carried out online, although not all students can learn online effectively because there are various differences in the learning atmosphere compared to the pandemic period, amid the limitations that exist, student still follow the learning which is believed to be driven by various of motivation. This study aims to determine the sources of motivation learning from home of grade VII students at Junior High School 2 Warkuk Ranau Selatan in 2020/2021. This research uses descriptive quantitative method. The data were collected using a questionnaire of sources of motivation learning from home. The populations in this study were students of class VII at Junior High School 2 Warkuk Ranau Selatan in 2020/2021 with a sample size 51 respondents from total population of 103 people. The sampling technique is done through random sampling. The results of the data analysis conducted were 8 students (16%) choose Intrinsik Process Motivation, 11 student (21%) choose Instrumental Motivation, 14 student (28%) choose Eksternal Self-Concept Motivation, 12 student (23%) choose internal self-concept Motivation, and 6 student (12%) choose Goal Internalization. Eksternal self-concept Motivation be the most chosen indicator and Goal Internalization be the least selected indicator.
A review of Asiacall International Conference 2012

Computer-Assisted Language Learning (CALL) involves the use of technology in support of teaching and learning. It aims at improving learning process and learning outcomes. Computer applications for language classrooms abound. CALL activities may range from the practice of general skills (listening, speaking, reading, writing) to material design or modes of instruction… These provide learners with learning options and bring more life and fun to a language class. The use of computers has become more popular both in and out of the class. And CALL continues to grow at a rapid rate in many directions.
Evaluasi sistem akuntansi penjualan kredit pada PT Teratai Kabupaten Sumba Timur

In increasing revenue, PT Teratai seeks to increase sales volume. One of the efforts to increase sales is to provide credit sales facilities to customers. Based on the results of observations found several problems including the credit sales accounting system, documents and records on the credit sales system including the eyebrow chart. The credit sales accounting system. This study aims to determine how the credit sales accounting information system of PT Teratai. Data collection techniques in this study using the interview method. The data collected was analyzed descriptively qualitatively. The results of the study show that PT Teratai credit sales system has not been effective. It was found that there was no separation of several functions, namely sales, collection and credit.