Reviewerly/exHarmony huggingface dataset:
Aggregated symmetric key-based hierarchical group data sharing in cloud

Cloud computing is defined as a type of computing that relies on sharing computing resources rather than having local servers or personal devices to handle applications. Data sharing is the major advantage in cloud computing, hence cloud computing security is a major concern. Cloud computing security refers to the set of procedures, processes and standards designed to provide information security assurance in a cloud computing environment. A key challenge to designing such encryption scheme lies in the efficient management of encryption keys to be used for the documents. In order to examine the flexibility, scalability and fine grained access scheme of outsourced data in cloud computing, this paper introduces a new scheme called HASK scheme by extending the file sharing capabilities of KASE with a hierarchical taxonomy. In HASK, we propose an algorithm called HASK encryption as the enhanced scheme for KASE.
A Propósito do Fundo do uso coloquial à pedra angular da Arquivística custodial e patrimonialista

This paper establishes the coincidences between the narrative of José Saramago’s novelentitledTodos os Nomes(1997) and the actions of Natalis de Wailly in 1841 by order of Napoleon Bonaparte, France Imperator at that time, with the aim of creating an operative framework to organize the documentsof the France National Archives which had been dismantled to attend Bonaparte’s governance. The broadobjective of this paper is to analyze the peculiarities of the word ‘fonds’used in Saramago’s book and of the technical term Fonds created by Natalis de Wailly. Specifically, it aims to approach the multifunctional character of the word ‘fonds’colloquially used in Todos os Nomes(1997) and its transformation in technical and operative stratagem by Natalis de Wailly in 1841; highlight the conceptual confusions between Fonds, Archive Fonds and Archive present in custodial Archivistics and show the relations between the attitude of Mr.José (fictional character in Saramago’s plot) and the positionof Natalis de Wailly (real character of France of the 19thcentury) in regard to the manner how both, each one in his spatial/temporal context, personifythe maxim “You know the name you were given, you do not know the name that you have”.
A Heuristic Approach To Redefine FIS By Matrix Implementation Through Update Apriori ‘HuApriori’ In Textual Data Set

There are several data mining methods for categorization using association rulesnowadays, the most famous of which being the Apriori algorithm. By searching the wholedatabase for k-element frequent item sets, the Apriori method is used to define frequent itemsetsfrom large transactional data sets. According to the Apriori algorithm, we are going to reevaluateand re-evaluate access time which consumes in scanning the database for k-timeslooking for k-element frequent item set. In this paper, we will analyse and compare our proposedUpdated Hybrid-Apriori Algorithm ( HuApriori) with the original Apriori algorithm, whichconcludes the experimental result to calculate frequent items on several groups of transactionswith minimal support (for both Apriori and HuApriori) and improves its performance byreducing the time spent accessing the database by 55%. Our proposed HuApriori algorithm is anenhanced version of Apriori algoritam[4] and working greatly better at each parameter which weinclude in concluding the results.
Slides with English text that are explained in Persian

The common pattern of presentation in the Iranian medical community is lengthy English text in slides that are presented orally in Farsi, both in conferences and classrooms. In this paper, we aim to further explore this phenomenon based on a theory in the domain of cognitive science named the cognitive load theory (CLT).According to Atkinson and Shiffrin's model introduced in 1968, human memory consists of three parts: sensory memory, working memory, and long-term memory. Information first enters the sensory memory, and if received adequate attention and reaches the level of consciousness, it enters the working memory, which, unlike the other two memories, i.e, sensory and long-term memory, has a limited capacity (1). Interestingly, working memory has two separate and independent channels for processing visual and auditory information with a limited and predetermined capacity (dual-channel theory). As a result, the speed of learning in humans restricts (2).In 1988, Sweller proposed a theory of learning called the CLT, in which the three key components of the cognitive structure, i.e. memory systems, learning processes, and types of the cognitive load imposed on the working memory, were merged. According to this theory, because of the limited capacity of the working memory, any factor that imposes an excessive load on this memory will disrupt the learning process (2). Here three types of loads are introduced:1. Intrinsic load is related to the task. The more complex the information that must be processed by the working memory, the greater the load imposes. – Cont.
Privacy or utility? How to preserve both in outlier analysis

Data analysts use outlier analysis to discover non-conforming patterns in data to generate actionable insights. It is an incredibly useful approach, but like all data-driven approaches, it raises privacy-related serious ethical and legal concerns when data is about peoples' information. Is it possible to accurately analyze data for outliers while protecting the privacy of people whose data we analyze? In this dissertation, we explicate methods to answer this question for the most practically relevant case, where outliers are defined in a data-dependent way and current privacy methods such as differential privacy fail to achieve practically meaningful utility.To define what it means to protect privacy in outlier analysis, we conceptualize sensitive privacy - it not only admits efficient algorithmic constructions but is also amenable to analysis. We introduce novel constructions to develop sensitively private mechanisms to accurately identify outliers, and to compile low-accuracy differentially private mechanisms into high-accuracy sensitively private mechanisms. Furthermore, to address the lack of a principled approach to private outlier analysis, we provide a framework to help a data analyst identify the right problem-specification and a practical solution for her application.Finally, we develop mechanisms - which guarantee privacy and practically meaningful utility - to identify (beta,r)-anomalies as well as covid-19 hotspots (an outlying event). An extensive empirical evaluation of these private mechanisms over a range of real-world datasets and use cases overwhelmingly supports the effectiveness of our approach. (PsycInfo Database Record (c) 2021 APA, all rights reserved)
Rising to the Proliferation of Cybercrime Challenging LEAs Across Europe

Law enforcement agencies (LEAs) face serious challenges in addressing the growing wave of cybercrime. They have limited human and financial resources to push back against this wave. Their tools and technologies are often a generation behind those of cybercriminals and terrorists on the dark web, deep web and dark nets. LEAs have to operate with ethical, data protection and social constraints that are meaningless to cybercriminals. They also have to respect national borders that don’t exist in cyberspace. This article briefly refers to the economic and social impacts of cybercrime, before discussing some of the principal challenges facing LEAs in responding to those impacts. We then focus on the EU-funded CC-DRIVER project, which is helping LEAs to address those challenges. Finally, we draw some conclusions on the near-term future of responses to cybercrime.
A security mechanism supporting multi-line key agreement and confirmation

This article analyzes the shortcomings of the single-line session key agreement and confirmation and proposes a security mechanism supporting multi-line key agreement and confirmation. Through a security chip to issue multi-line key agreement and confirmation instructions, derive the key group from the hash algorithm by the random number in the interaction process, providing support for subsequent encryption, decryption, MAC calculation, and MAC verification operations.
Application TadGAN to Detect Collective Anomaly in Power Usage Data

In order to develop an efficient power generation plan, it is necessary to identify consumers’ power usage patterns. In general, power usage data takes the form of time series data and in order to analyze that data, it is necessary to first verify that there is no data contamination. To this end, the process of verifying that there are no anomalies in the data is essential. In particular, for power data, anomalies are often recorded across multiple time units rather than just one point. In this work, we applied the TadGAN algorithm to detect these collective anomalies. Using the power usage data recorded in the actual building, the anomalies were injected randomly with various conditions. Afterwards, we detected anomalies by using TadGAN and showed that we were better at detecting collective anomaly than point anomaly.
Detecting Hazy Images and Estimating the Haze Thickness

Partial visibility in haze climate intensely impacts the correctness and the overall functions of almost all outdoor video surveillance or driver support systems. The real climate state is valuable information to raise corresponding methodologies. Built on the atmospheric scattering model analysis and the statistics of several outdoor images, for most foggy images, we find that the lowest and highest value in colour channels tends to be the same value of atmospheric light. A function for estimating the haze thickness is established for the programmed recognition of the foggy image with unlike haze thickness. The proposed haze classification method attains high performance shown in experimental results.
Etiological Evaluation of Pancytopenia in a Tertiary Care Hospital: A Prospective Study

Background: Pancytopenia is not a disease by itself; but a common hematological problem which is characterized by simultaneous presence of anemia, leucopenia and thrombocytopenia. The disease pattern associated with pancytopenia varies with geographic location, age group, nutritional status, drug intake and prevalence of infective disorder. This prospective study was to investigate and identify different causes of pancytopenia, to ascertain percentage of occurrence of pancytopenia, and to determine its incidence in relation to sex and age, as well as to compare the findings with those of other similar studies. Methods: 80 patients diagnosed with pancytopenia were clinically evaluated, with complete blood count, peripheral smears, and bone marrow aspiration-biopsy whenever possible in Justice K. S. Hegde Hospital attached to Nitte University, Deralakatte, Mangalore, from June 2012 to June 2014. Results: Among the 80 cases analyzed, most of the cases were seen in the age group of 41-50 years, with male predominance. Hypersplenism (28.75%), malaria (16.25%) and megaloblastic anemia (13.75%) were the three commonest causes in our hospital. In 13 cases of malaria, Plasmodium vivax (8 cases) was most commonly noted. Conclusion: The present study concludes that varied causes of pancytopenia can be attributed to the geographic area, nutritional and drug intakes, personal habits, infective causes, stringency of diagnostic criteria, and differences in methodology used. Hence, a detailed clinical history and meticulous examination along with hematological investigations provide invaluable information in the complete workup of patients with pancytopenia for understanding the disease processes, planning further investigations and management, and ascertain the cause.
Implementasi Metode Secure Hash Algorithm-1 Untuk Mendeteksi Keaslian File Dokumen

Document file is a means of transforming information from one person to another or from a group to another. The development of computerized technology has greatly increased. Document files are very vulnerable to fraud, eavesdropping or data theft by irresponsible parties. In order to maintain the security of document files, this can be done by using cryptographic techniques. Cryptography is the science of keeping data secure. Cryptography is one of the data security methods that can be used to maintain data authenticity, data confidentiality, and the authenticity of data transmission. SHA, which stands for Secure Hash Algorithm, is a standard hash function published by NIST (National Institute of Standards and Technology), (NIST, 1995a). This study will use the SHA-1 method to secure the authenticity of document files, document confidentiality, document integrity, and document authentication. This study describes the security process for detecting the authenticity of document files using the SHA-1 method in the form of detection so that confidential documents sent via public telecommunications cannot be changed or modified by unauthorized persons or unauthorized persons. This is done as an effort to minimize acts of fraud, hoaxes, or misuse of document files.
Use of TICs in teaching training programs: on line portfolio and learning/practice communities

This article aims at contributing to the process of reflection on the use of TICs in teacher training programs in order to appropriately meet the demands and to effectively deal with the challenges that the processes of professional preparation are facing this century. This article develops the concepts of on line portfolio and learning/practice communities in virtual environments. It additionally explains how these strategies are being introduced into initial teacher training practices. More specifically, this paper describes some experiences about the use of the e-portfolio and the construction of learning/practice communities among the students of Pedagogy at the Universidad Catolica de Temuco, which are used as strategies to evaluate, direct and improve their own teaching practices.
The Influence and Application of Artificial Intelligence on the Political Development of New Media in China

At present, in the field of artificial intelligence, China and the United States are not only engaged in technological competition, but also in a political war. China’s ideology makes Chinese people accustomed to giving up part of the right of privacy in order to get better public services, and artificial intelligence just needs a huge database. Therefore, the government can use artificial intelligence recommendation technology in the field of new media to guide citizens’ political views, obtain effective data while strengthening national control, promote the development of artificial intelligence technology, and enhance the importance of China’s ideology to a certain extent, so that China can maintain a relatively leading position in the current competition. Based on this, this paper analyzes the influence and application of artificial intelligence on the development of new media politics in China.
A new framework for contour tracing using Euclidean distance mapping

In this paper, a new fast, efficient and accurate contour extraction method, using eight sequential Euclidean distance map and connectivity criteria based on maximal disk, is proposed. The connectivity criterion is based on a set of point pairs along the image boundary pixels. The proposed algorithm generates a contour of an image with less number of iterations compared to many of the existing methods. The performance of the proposed algorithm is tested with a database of handwritten character images. In comparison to two standard contour tracing algorithms (the Moore method and the Canny edge detection method), the proposed algorithm found to give good quality contour images and require less computing time. Further, features extracted from contours of handwritten character images, generated using the proposed algorithm, resulted in better recognition accuracy.
Securing Azure Functions with API Management

You can build APIs using HTTP-triggered Azure functions. These APIs interact with the databases and perform CRUD operations. You need to have granular control over the incoming requests and outgoing responses for the APIs developed using Azure Functions. It is highly essential to secure these APIs and control the header, body, and other necessary aspects for the API calls. You should be able to control who can consume these APIs, and only the subscribed developers should have access to them. All these requirements can be achieved by integrating the API Management service with HTTP-triggered Azure functions. All requests and responses to an HTTP-triggered Azure function should pass through the API Management service. You can control these requests and responses at a granular level using API Management.
Peranti Pengukur Kadar Gangguan Mata Miopi dan Hipermetropi Berlandas Android

The vital organs of humans are enabled to see are the eyes. The eye is a camera that plays an important role in supporting daily human activities. An object can be seen clearly or not depends on the ability of light refraction in the eye. If there are abnormalities or eye diseases, it can interfere with one's vision. Visual disturbances related to light refraction namely myopia, hypermetropy, and astigmatism. Currently, there are several steps to help patients overcome these disorders, such as the use of glasses, medicines, surgery, and the use of certain technological devices. However, to follow the above method, the patient cannot detect early for any visual impairment, and the patient must go directly to the ophthalmologist at the clinic or hospital. This is less efficient if the patient has limited distance, time, up to the cost to consult directly. This research is aimed at making devices measuring myopia (nearsightedness) and hypermetropy (farsightedness) in the eye. The main components used are Raspberry Pi as the main microcontroller to process data, LCD viewer to display the results of measurement information, Android smartphone is used to display letters as a test medium that will be answered by patients so that the Raspberry Pi processes sound data from patients whether the answer is true or false. With this system, it can provide convenience for users in early detection of nearsightedness and farsightedness tests independently, so that information on farsightedness can be known from the results of tests carried out without having to consult a doctor directly. Keywords - devices, gauges, visual disturbance, early detection, smartphones
CONTEXTUAL FACTORS INFLUENCING THE ASPECTS OF MODULE PLANNING AND MATERIALS DEVELOPMENT IN HIGHER EDUCATION

Ponte Academic JournalJun 2021, Volume 77, Issue 6 CONTEXTUAL FACTORS INFLUENCING THE ASPECTS OF MODULE PLANNING AND MATERIALS DEVELOPMENT IN HIGHER EDUCATIONAuthor(s): Jeremiah MadzimureJ. Ponte - Jun 2021 - Volume 77 - Issue 6 doi: 10.21506/j.ponte.2021.6.6 Abstract:The purpose of this article is to discuss the contextual factors influencing aspects of module planning and materials development in higher education. These contextual factors are learner profile, institutional setting, socioecological background, socio-cultural background, and logistical considerations. This article discussed how important it is to understand the context in which the course will be implemented when developing course materials. The article further demonstrated that, the learner profile assists lecturers to learn further about other learners. This illustrated that, it is valuable for the learner to know their interests and strong point and is valuable for lecturers to know about their learner's interests and strong point for student academic success. Download full text:Check if you have access through your login credentials or your institution Username Password
The Effect of Think Pair and Share Strategy on Students’ Reading Comprehension at Grade X SMA Negeri 2 Rantau Utara

The objectives of the research are to how the effect of Think Pair and Share on students’ reading comprehension . Moreover, this reserch designed to sutdy how the Think Pair Share strategy can be implemented in the tenth grade students of SMA Negeri 2 Rantau utara. The tenth grade students of SMA Negeri 2 Rantau Utara had problems dealing with reading comprehension. The researcher found that tenth grade has problems in reading, such as catching the main idea, identifying the implicit and explicit information of the text, found the word meaning, and word reference. The researcher found that the teacher taught in class dominated  the students.The subject of the search is the tenth grade , there are 30 students for control class and 30 studnts for experimental class. The rsearcher collected data by test, the researcher analyzed the data using the quantitative data. The conclusion in this research is a significant difference of the effect on students’ reading comprehension between those who were taught using Think Pair and Share and those who were taught using Direct Instruction. It can be proved from the score result of t (9,48) which is higher than ttable (1,697). The students who were taught using Think Pair Share (78,5) had higher score than those who were taught using Direct Instruction ( 56,6). It means that the students who were taught using Thnk Pair Share have better reading comprehension than those who were taught using Direct Instruction. The method of Think Pair Share gives opportunities to improve their reading comprehension.
Interactive Mobile Based Crime Reporting System Integrated With Map Feature And Exploratory Data Analysis

In India, as per the statistical report of the year 2018, there were around 1.2million crimes happening every day, out of which only 10% of the crimes were reported.Therefore, it is very difficult and challenging for the police department and intelligenceagencies to resolve the crime cases if reported later or with improper and insufficientinformation. The well designed crime reporting system eases the job of police andinvestigating agencies to proceed with the rapid action. This paper proposes to design aninteractive mobile based crime reporting system(CMS) integrated with map features tofacilitate the tracking of location information of the place of crime. The application can beused by the public, police officials, and intelligence officials with different levels of accessprovisions and functionalities supporting investigation. This will be helpful for the publicto report the crime as and when happened and to review the status of reported crime. Thecop can use the interactive map to reach the location and can use the reported informationfor investigation. The higher officials can monitor and keep track of all the cases undertheir jurisdiction. The paper also provides an exploratory analysis of test data collectedfrom the public using the application and the results were discussed.
Documenting evidence of a replication of ‘analyze this! 145 questions for data scientists in software engineering’

We report here the use of the 145 software engineering questions for data scientists presented in the Microsoft study in a recent FSE~'20 paper by Huijgens et al. The study by Begel et al. was replicated by Huijgens et al.