Reviewerly/exHarmony huggingface dataset:
LA ESCUELA SECUNDARIA EN CUESTIÓN.: ESTUDIO SOBRE EL LUGAR DEL TIEMPO LIBRE EN LA ENSEÑANZA DE LA EDUCACIÓN FÍSICA EN LA ESCUELA ACTUAL

The purpose of this article is to discuss the concept of free time in secondary education, based on the extension of mandatory teaching in Argentina and, in this framework, the consolidation of the right to access free time as a right. In this theoretical approach, the extension of that mandatory nature allows access to free time as a social practice that is linked, in a significant way, with the playful and historically situated cultural experiences. In this line, a review and analysis of the materials prepared by the General Directory of Culture and Education of the Province of Buenos Aires in a situation of preventive and mandatory social isolation (ASPO) is carried out in response to the pandemic, as a consecuence of COVID-19. This article displays the study of the Pedagogical Continuity Program, specifically in the Physical Education subject, scheduled and communicated during the first quarter of the 2020 school year, aimed the secondary level. In this context, the free time is recognized as a universal right of Secondary Education; meanwhile, the school, as the institutional environment, is physically closed ; revealing that the rights that are put into play there, are now hardly materialized in a school at home.
Proposing PDM Model for Securing Data Storage on Cloud Servers

Clouds are the group of resources like data storage, processors, security tools, etc. that are shared by the big resource providers like Amazon, Google, Yahoo etc. and the users of these resources. There is the requirement of privacy policy when we work in such a shared, unknown, untrusted, and pay per use environment. Computing industry is now shifted their orientation from arranging first the resources to developing new applications or application of new ideas. Because in the cloud computing world , every resource required for developing and executing an idea or application is available or pay per use basis. But even though everything is available with scalability or these resources, the data of the business transaction with authenticity is prime for all either business organization or customer. As we know that user’s and transaction data is very important and unauthorized access is illegal and harmful for everyone. Because worldwide the use of online services is increasing exponentially and the use of cloud computing for these solutions is also increasing. We have considered this problem for our research work and in this paper, we are proposing a PDM privacy preserving model for more securing the cloud data.
Multimodal Sentiment Analysis of Social Media Posts Using Deep Neural Networks

With the fast growth of social media, they have become the most important platform for posting multimodal content generated by users. Much of the data on social networks such as Instagram and Telegram is multimodal data. With the aim of analyzing such multimodal data in social networks, multimodal sentiment analysis has become one of the most significant subjects for researchers in the field of emotion recognition and data mining. Although multimodal sentiment analysis of social media data for English language has been addressed in several researches recently, few studies addressed the problem for the Persian language which is the official language of more than 120 million of people around the word. In this study, a multimodal deep learning model is proposed to address this problem. The proposed method utilizes a bi-directional long short-term memory (bi-LSTM) for processing text posts and a VGG16 convolutional network for analyzing images. A new dataset of Instagram and Telegram posts, MPerSocial, containing 1000 pairs of images and Persian comments is introduced in the current study and used for evaluating the proposed method. The results of experiments show that using the fusion of textual and image modalities improves sentiment polarity detection accuracy by 20% and 8% compared with the scenario in which image and text modalities in isolation. Also, the performance of the proposed model is better than three similar deep and four traditional machine learning models. All codes and dataset used in the current study are publicly available at GitHub.
A Practical Experience Applying Security Audit Techniques in an Industrial e-Health System Which Uses an Open Source ERP

Healthcare institutions is an ever-innovative field, in which modernization is moving forward taking giant steps.This modernization, so called "digitization", brings up some concerns that should be carefully considered.Currently, the most sensible concerning in this field is the management of Electronic Health Record and patients' data privacy.Health-related data in healthcare systems are under strict regulations, such as the EU's General Data Protection Regulation (GDPR), whose non-compliance imposes huge penalties and fines.Cybersecurity in healthcare plays an important role at protecting these sensitive data, which are highly valuable for criminals.Security experts follow already existing security frameworks to orchestrate the security assessment process, so that the auditing process is as complete and as organized as possible.This study extends the lifecycle of a security assessment framework and conducts an exploitation and vulnerabilities' analysis on an actual industrial scenario.The results of this security audit shows that even if the system is heavily fortified, there can be still some vulnerabilities.
Organizational forms of educational and methodological guidance

The question of how to organize educational and methodological work in Meduniversities, what organizational forms, what cells to create to guide this work is a serious issue that is of no small importance. At the same time, speaking about the organizational forms of management of educational and methodological work, one cannot limit ourselves to indicating these forms only at the local level, in Meduniversities, it is also necessary to indicate the organizational forms of this leadership in the center, in NKZdrav.
ITEM ANALYSIS OF AN ENGLISH SUMMATIVE TEST

While almost half of the teachersâ€™ activities are assessing their students, they are not well-prepared with assessment literacy training. Hence, they are unable to produce good tests to measure studentsâ€™ level of knowledge and skills. This study is aimed at analyzing item difficulty and item discrimination of a test made by an English teacher at a junior high school in Kupang. It was descriptive qualitative research and the instruments of the research were test items, answer keys, and studentsâ€™ answer sheets. For the difficulty index, it was revealed that more than half of the test items were easy, while only 2% of the test items were difficult. In terms of the discrimination index, it was found that only 10% of the test items were excellent and most of the test items (46%) were poor. These findings indicated that the English test had a poor item difficulty index and low item discrimination index. Hence, it did not fulfill the criteria of a good test and could not measure studentsâ€™ true ability. It is highly recommended for the teachers to improve the test items and for the government to provide assessment training for the teachers so that they can produce good tests.
Libraries: Collection Development for Education in the Boston College Libraries: Collection Management

Criteria for collecting and maintaining materials in the subject area of Education, with links to general library collection policies.
Πλατφόρμα ανάλυσης δεδομένων εγκλημάτων με χρήση τεχνικών μηχανικής μάθησης & εικονικοποίησης βασισμένης σε περιέκτες

Crime analysis is a methodical approach to identifying and analyzing patterns and trends in crime. With the growing origins of computerized systems, data analysts can help law enforcement agencies speed up the crime­ solving process. Using the concept of data mining and machine learning, they can analyze previously unknown, useful information from unstructured. Due to the increase in the volume of open data in recent years, digitally published crime articles from various sources that report regular crimes and contain crime details and information about the accused entities can be used. The ultimate article analysis platform includes a set of microservices that work together. Initially, Scrapy collects the data and stores it in its original form in a database (MongoDB). To categorize each article collected in the correct crime category, sample categorization algorithm models (such as Naive Bayes, Support Vector Machines) are used. Natural text processing (NLP) custom-made algorithms are used to analyze important textual information in conjunction with analyzes performed by elasticsearch analysts, a set of open source tools for data collection, enrichment, storage, and data analysis. The purpose of the analysis is to extract important information such as the location of the crime, the age of the victim and the perpetrator, the gender of the victim, if the perpetrator is arrested, as well as keywords that indicate how the crime was committed. The visualization of the final data is done using Plotly’s Dash and gives us a clear idea of what the information means by giving it a visual framework through maps or graphs. This makes the final data more natural for the human mind to understand and therefore makes it easier to identify trends, patterns and extremes in large data sets. Due to container based visualization, the above levels build a comprehensive crime analysis platform as a series of microservices, each of which runs its own process and is independent.
UNAB Innova. Hacia ambientes híbridos de aprendizaje- AHA

UNAB innova is an institutional project of educational and pedagogical innovation that emanates from the reflections and institutional seminars promoted by the PEI and that also seeks the convergence of the existing Innovation Ecosystem at UNAB.Privileging synergies within the institution, teamwork begins in March 2020 and as a result of the Covid-19 contingency. The dependencies that joined forces at that time to ensure academic continuity, and under the leadership of the Rectory, Academic Vice President and Administrative and Financial Vice President, were: Department of Teaching, UNAB Virtual, UNAB Creative, Department of Information Technologies and Communications-ICT, Human Management and Organizational Communication. This interdisciplinary work hashas been consolidating the foundations for the construction of a quality educational environment that leads to the achievement of the expected learning results in students and that provides guidelines for the planning and development of academic programs in a flexible and adaptable environment, privileging practicality and allowing adaptation to the particularities of the different training fields, programs and departments.
Strategic Action "O Brasil Conta Comigo": Development of a tool for managing professionals willing to act in the fight against COVID-19

When the Covid-19 pandemic began, it was up to the Brazilian Ministry of Health (MS) to produce a nationwide health policy, organizing and planning strategies to mitigate health problems related to the SARS-CoV2 infection. In this context, and in cooperation with the Bridge Laboratory at UFSC, they developed a tool for the strategy "O Brasil Conta Comigo" (Brazil counts on me) in order to assist health managers to cope with the deficit in the hiring of human resources. An application was developed in record time that allowed the voluntary registration of health professionals willing to act in health care to deal with Covid-19. Thus, it was possible to increase agility in the process of hiring health professionals in several regions of the country, as well as in the production of the largest self-declaratory database of health professionals in Brazil.
Best Computer Mouse For Kids

When introducing children to new devices and technology, you can’t help but be creative in your approach, which is the same with a mouse.  ...
Analysis Study for Optimization Methodologies in Cloud Architecture for Reliable Erp Solutions

All the organizations go through the challenges in protecting their Data. While using cloud technology, it creates a tension between the enterprise and the executives in controlling the new modes of operations. The challenges faced in planning, contracting, and managing the services while using cloud must be deliberately address by the providers and clients so that these types of tensions can be solved. While sharing the data on cloud, data losses, delays and interruptions are occurring. For better outcome analysis of cloud structure and cloud problem studies are discussed in this paper.
Energy Big Data Storage and Parallel Processing Method Based on ODPs

Energy big data runs through the whole process of “source network storage” and enterprise operation and management, with huge scale and various types. It is mainly accompanied by the real-time production and consumption of energy and power, and the authenticity of data is high. At the same time, due to the high level of automation and informatization in the power industry, the data base is relatively ideal, and the infrastructure for big data acquisition, transmission and application is basically available. With the construction of ubiquitous power Internet of things, the coverage, perception depth and data quality of power big data will continue to improve, and the application foundation will be increasingly perfect. Based on the open data processing service, this paper studies the energy big data storage and parallel processing method.
Main approaches to the development of professional preparation of students of technical universities: Main approaches to the development of ....

The purpose of this scientific article is to study the problem of developing students' competitiveness in the process of vocational education at a university from a scientific and pedagogical point of view and the development of basic approaches.
PERAWATAN DAN PENGOPERASIAN AC CENTRAL GUNA UNTUK MENINGKATKAN KENYAMANAN RUANG AKOMODASI DI KAPAL KN.SAR SADEWA

MAINTENANCE AND OPERATION OF AC CENTRAL ACCURATE FOR IMPROVING COMFORT ROOM IN SHIP KN.SAR SADEWAAC central is a room cooling system that is controlled from a single point or place and distributed centrally to the entire contents of the building with a capacity that corresponds to the size of the room and its contents by using air ducts / ducting ac. There is also a function of central air conditioning is to condition the air in a sense to obtain the air temperature in want cool or cool and comfortable for the body but it can also improve air quality and can reduce symptoms of asthma and allergies. (source. sejukabadi, 2016). In this study can be identified to be a focus of problems in cases one by one that is very closely related to each other. So it can be taken the formulation of problems or problems of operation in the central AC that often occurs leakage in the evaporator, the cause is less maintenance so dirty evaporator even mucus can make evaporator easily corrosion. In addition to leaks in the evaporator, the expansion valve is also an important and easily damaged component. The cause of damage to the expansion valve is the circulation of refrigerant blocked by moisture or impurities contained in the mouth of the expansion valve. Treatment on both components is essential to avoid damage. Periodic maintenance results at KN.SAR Sadewa show that by performing periodic maintenance can handle the evaporator leak and expansion valve so as to facilitate the operation of central air conditioner KN.SAR Sadewa. The purpose of the discussion of AC central in order to improve the comfort of accommodation space on ship KN.SAR Sadewa. With the resolution of existing problems in the handling of central air conditioning, it is expected to produce cool or cool air and can provide comfort accommodation space on ship KN.SAR Sadewa.Keywords: Central AC, Evaporator, Expansion Valve
Simulation of Tilapia Cultivation Using The Monte Carlo Method (Suggested Simulation for Abdul Hadi Fish Cultivation)

Fish consumption in Indonesia has increased in the last 5 years. Tilapia includes five types of fish that account for more than 80% of the total production. This shows that the cultivation of tilapia using pond ponds also has a great opportunity to become a business. By simulating the cultivation of tilapia first before the cultivation process is carried out, the research costs become cheaper because there is no need to carry out an experimental cultivation process that costs money to buy broodstock and cultivation equipment. Monte Carlo was chosen as the simulation method because Monte Carlo Simulation is a method for evaluating a deterministic model involving random numbers as one of the inputs. The results showed that the number of tilapia harvests at the end of cultivation carried out in 6 months was 802 and the profit that could be obtained at the end of cultivation was Rp. 37,554,274.00.
Design a Mobile Learning Application to Learn Hijaiyah Letters Based on Android

Mobile learning is a learning process that utilizes technological developments through electronic devices in the form of smartphones or mobile phones. Currently learning hijaiyah is still widely done by meeting directly with the teaching staff, through Iqra or other print media. With this is considered less effective and ineffective and causes boredom for children. Therefore, an efficient, effective and interactive hijaiyah letter learning media is needed that can improve children's reasoning power to learn anywhere and anytime. The application will be designed with a system design tool that is UML (Unified Modeling language) that is easy to describe so that it can help in the compounding of the system. The application will be implemented on android-based mobile devices. Keywords: Android, Hijaiyah, M-Learning, UML.
Utilization of Phule Jal Mobile App Among the University and KVK Scientists of Maharashtra State

The mobile phone has become most ubiquitous technological device in the human history. In India number of smart phone users has surpassed 204 million in recent past. Most popular mobile properties are accessed via mobile apps in present days. This study was conducted on Irrigation Mobile App developed by Mahatma Phule Krishi Vidyapeeth, Rahuri. The study was conducted during 2016-17 on Utilization of Irrigation Mobile Apps by University and KVK Scientists. The investigation was carried in 10 districts with variety of geographical characteristics of Maharashtra state having the jurisdiction of Mahatma Phule Agricultural University. From selected districts 12 KVKs, 4 RECs and 5 DECs were considered for this study. 70 trained University and KVK scientists were purposively selected as respondents for the present investigation. The findings of the investigation revealed that majority of (72.86%) of the university and KVK scientists belonged to medium utilization category, followed by low (14.29%) and high (12.85%) utilization categories, respectively. Evapotranspiration (ETr) calculation feature had “very frequently” used by the 24.28 per cent respondents when analysed feature wise extent of utilization of Phule Jal app “Frequently” used features of Phule Jal mobile app were Online mode (62.86%), less frequently used feature was “Offline mode” feature by 57.14% whereas 67.15% of the respondents were “Not at all” using the “Evapotranspiration calculation” feature.
Weaving the Strands: evidence-based research data management investigations at Massey University – a project report

This paper tells the story of how the Massey University Library collaborated with other research support teams and members of the researcher community on an institution-wide research data management (RDM) initiative in 2016-2017. The purpose of the initiative was to identify RDM challenges encountered by researchers and recommend priorities for further action. An informal Working Group with pan-organisational membership was formed to investigate. The methodology involved the distribution of a survey to all colleges, with follow-up interviews taking place to understand the themes that emerged in the survey. Among the themes, priority concerns were data backup, long-term storage and collaboration. A number of initiatives for improving the situation were identified. ‘Quick wins’ include: database management advice, data protection and ownership advice; email storage increase, a storage options decision tree, GitHub Repository guidance, and bettercommunication and visibility of services. Longer-term projects include storage and high-performance computing (HPC) roadmaps. Implications for library practice following involvement in this work, has been on-going collaboration with other research support teams, and greater engagement with students on their RDM needs. It is hoped in the future the focus on developing relationships, starting conversations and building trust will lead to the development of an institutional position on RDM.
Usable Verifiable Secrecy-Preserving E-Voting

In this paper we propose the usage of QR-Codes to enableusable veriable e-voting schemes based on code voting. The idea { from avoter's perspective { is to combine code voting proposed by Chaum withthe cast-as-intended verication mechanism used e.g. in Switzerland (usinga personal initialization code, return codes per option, a conrmation codeand a nalisation code); while all codes to be entered into the e-votingsystem by voters are available as QR-Code (i.e. one personalised QRvoting code per voting option and one personal conrmation QR-Code).We conduct a user study to evaluate the usability and user experienceof such an approach: both the code sheets and the election webpage arebased on usability research in this area but adopted for our idea. Asour proposal performs good wrt. usability, we discuss how such usablefront-ends enable more secure e-voting systems in respect to end-to-endveriability and vote secrecy.
Cauchy proximal splitting (CPS)

These Matlab functions implement a proximal splitting method involving a non-convex penalty function based on the heavy-tailed Cauchy distribution. A function for calculating the proximal operator of the Cauchy prior is provided, and two examples are included to illustrate how to perform cost function optimisation with a forward-backward (FB) -based algorithm that implements the corresponding Cauchy proximal splitting (CPS) method. The two signal processing examples include 1D signal denoising in the frequency domain and image de-blurring.
Research Guides: Library Technology Desk: Hours, Reservations and Appoinments

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