Reviewerly/exHarmony huggingface dataset:
Sparse Gaussian Process Variational Autoencoders

Large, multi-dimensional spatio-temporal datasets are omnipresent in modern science and engineering. An effective framework for handling such data are Gaussian process deep generative models (GP-DGMs), which employ GP priors over the latent variables of DGMs. Existing approaches for performing inference in GP-DGMs do not support sparse GP approximations based on inducing points, which are essential for the computational efficiency of GPs, nor do they handle missing data -- a natural occurrence in many spatio-temporal datasets -- in a principled manner. We address these shortcomings with the development of the sparse Gaussian process variational autoencoder (SGP-VAE), characterised by the use of partial inference networks for parameterising sparse GP approximations. Leveraging the benefits of amortised variational inference, the SGP-VAE enables inference in multi-output sparse GPs on previously unobserved data with no additional training. The SGP-VAE is evaluated in a variety of experiments where it outperforms alternative approaches including multi-output GPs and structured VAEs.
Process of Requirement Gathering and Techniques for Web Application

Project administration is currently turning into an essential section of our code industries. To Scope with initiatives successfully could be a very huge deal. Within the software challenge administration method there are some phrases, the primary phase is demand gathering. To urge the right requirement and to require care of it is most important for the total venture successfully. The demand administration won’t make sure that the project or application meets the client's wish or expected result. Needs are outlined at some stage in the coming up with phase and so these wants are used for the duration of the project. There are some strategies for gathering requirements. In this paper, there'll be mentioned these strategies and the way to form the need gathering successfully.
Estudo Comparativo de Tecnologias de Desenvolvimento front-end paraWeb

There are several JavaScript technologies intended to assist in theconstruction of web systems user interfaces. Choose the most suitablefor a new project can be a difficult task. Three of these technologieshave gained prominence: Angular, Vue and React. All focusedon the front-end development of web applications. In order to facilitatethe process of decision making about which technology is themost suitable in a new project, this work establishes a comparativestudy of the three most used JavaScript technologies currently andto highlight the advantages and disadvantages of each one. Thiswork adopted performance, size and support for different browsersto carry out an experimental comparative study. An applicationwas developed as a use case and replicated in each of the technologies,in order to analyze the development process and the resultsunder the same set of tests. A software to perform the tests in anautomated way was implemented to collect the performance resultsusing the Google Chrome browser. It was possible to identify whichtechnology is most suitable in each test scenario. For example, theAngular framework performed better in 8 out of 10 scenarios evaluated,despite having a longer startup time and build size of theapplication compared to React and Vue. It is estimated that Angularloads more information in the initialization process to make thestate of the application “more prepared” for user interactions
An Efficient Privacy Preserving Approach for e-Health

Immense Procreation of large amounts of data in medical field and health care domain, benefitting society is at risk with sensitive attributes being disclosed.Access to Medical Information made feasible over internet with an intension of serving the people related to medical community is triggering a challenge for researchers in norms of Privacy and security.The medical data at cloud is vulnerable to unpredictable threats with evolving technology, and the threat landscape sounds resilient with sensitive attributes.In this contemporary stretch, Organizations fail to hold the reputation and are unable to preserve public confidence.The austerity of sophisticated security attacks compromise the privacy of patient data and security of healthcare units.The fruitful approaches by several researches and practitioners provided an up heal resolutions, but the demand for an optimal solution remains unanswered.In this paper we present a solution for addressing the security issues in health care management.We propose a hybrid framework using enhanced Attribute Based Encryption (ABE) with Anonymity approach based on access primitives of sensitive attributes.The proposed mechanism is evaluated in terms of performance, encryption time, decryption time and Memory utilization using Jsim simulator which envisage drastic performance expedition in the presented model.
PENALARAN DALAM PENELITIAN PENDIDIKAN ISLAM

Reasoning has an important role in producing a conclusion from logical and analytical research activities. The process of searching and investigating which is an activity in research in collecting empirical data to explain a phenomenon requires good reasoning. Because reasoning is the ability to conclude based on evidence and describe it both in oral and written. In drawing these conclusions based on the truth propositions of the major premises, minor premises and the validity of drawing conclusions. In research, these propositions are contained in the concept or meaning that is used as a statement used in explaining the object in research. There are three types of reasoning, namely, abductive, deductive and inductive. While propositions according to their form are categorical propositions; hypothetical propositions; dysfunctional propositions.
Protective Intelligence

Protection of leadership is a crucial aspect of any organization’s harm prevention efforts. Recent shifts in global culture, societal expectations, and access to information are transforming the threatscape at a startling speed, resulting in the rapid growth of protective intelligence programs to protect leadership. Protective intelligence uses a holistic, behavior-based threat assessment methodology to identify, investigate, assess, and mitigate potential threats against an organization’s leadership. It expands the focus beyond investigating communicated threats to identifying and investigating concerning behaviors within a behavioral threat assessment framework. This results in an improved capability of identifying and mitigating threats. To achieve this goal, protective intelligence programs require a commitment from the organization’s leadership, an awareness campaign to educate the workforce and encourage their reporting of any suspicious or concerning behavior, and a professional and well-trained team of protective intelligence investigators, analysts, and threat assessors.
Reconstruction of School Operational Assistance Funds Management to Improve Accountability and Transparency

As a public sector organization, Madrasah (Islamic school) must pay attention to accountability and transparency, including the management of School Operational Assistance (BOS) funds.This study aims to analyze and reconstruct BOS funds management, which consists of three stages, namely budgeting, accounting, and auditing.Qualitative research methods with a case study approach were used in this study.Data in the form of primary data obtained from structured and unstructured interviews with persons involved in the management of BOS funds, observations of the BOS fund management process, and documentation in the form of BOS funds financial reports.The results showed that the budget was prepared by making RAPBM and RKAM by involving related stakeholders.The bookkeeping stage is carried out by making journal books, ledgers, revenue, and expense reports.The inspection stage is carried out by internal parties, namely the Principal and external parties, such as the school supervisor and the City Government's inspectorate general.The management of BOS funds in these Madrasahs still needs to be reconstructed by covering some of the existing weaknesses.It is necessary to increase the competence of human resources and accounting software to prepare financial reports following PSAK no.45 and SAK ETAP.It is necessary to consider opening a business center that can support Madrasahs' funding needs, which are still lacking, and there needs to be an internal inspection team apart from the Principal of the Madrasah.Increase transparency by uploading financial reports to the official Madrasah website.Increased accountability and transparency are proven by the increasing number of students in this Madrasah from year to year.
LibGuides: Search Help: Common Search Problems: I'm not finding enough

Having trouble with your searches? This guide will give you some tips to get back on track.
Sp(4, q)的Lusztig序列

Let $G$ be the group of rational points of a linear algebraic group $mathbf{G}$ over a finite field with $q$ elements, $s in G^{*}$ be a semisimple element, $T^{*}$ be a maximal torus of $G^{*}$ such that $s in T^{*}$, where $G^{*}$ is the dual group of $G$. Let the Lusztig series ${cal E}(G)_{s}$ of $s$ be the set of all irreducible character $chi$ of $G$ such that the inner product of $chi$ and $R_{T^{*}, s}$ is not zero, where $R_{T^{*}, s}$ is the Deligne-Lusztig virtual character. According to Lusztig correspondence, we know that there is a bijection from ${cal E}(G)_{s}$ to ${cal E}(C_{G^{*}}(s))_{1}$ and the set of all irreducible characters of $G$ can be written as the disjoint union of all Luisztig series on $G$. In this paper, we consider $G = {m Sp}_{4}(q)$. From Srinivasan's work, we obtain all irreducible characters of $G$. Then we want to discuss how to classify these characters into a union of ${cal E}(G)_{s}$.
LITERATURE REVIEW: AGENT BASED DATA SECURITY APPROACH FOR HYBRID CLOUD COMPUTING

As the cloud computing is spreading around the world, need of inter cloud communication is becoming a growing in the organizations. It is causing the researchers to focus on first, for making it possible to communicate between two or more clouds and second security of communication is to considered up to utmost level. Hybrid Cloud computing mainly deals with working of data centers where different software are installed with huge of growing data to provide information to the users of the system. The techniques which can be used in hybrid cloud securities can be built around the encryption and decryption of data, key based security algorithms which are mainly oriented on authentication and authorization techniques as in wired and wireless networks. One such mechanism is to share the challenge text between the clouds before actual communication should start for authentication. The various works done in this area till date are oriented on other techniques ofsecurity between the two or more clouds in a hybrid cloud.
Using Computerized Human Language Technology to Generate Biomarkers for Disturbances in Language

Computerized human language technology (HLT), including automated analysis of acoustic and lexical features, presents a promising opportunity to identify scalable biomarkers for psychiatric disorders, particularly psychotic disorders. It is not understood how individual dimensions of speech disturbance, like poverty or perseveration, can be modeled by HLT-derived features.
Selective segmentation of a feature that has two distinct intensities

It is common for a segmentation model to compute and locate edges or regions separated by edges according to a certain distribution of intensity. However such edge information is not always useful to extract an object or feature that has two distinct intensities e.g. segmentation of a building with signages in front or of an organ that has diseased regions, unless some of kind of manual editing is applied or a learning idea is used. This paper proposes an automatic and selective segmentation model that can segment a feature that has two distinct intensities by a single click. A patch like idea is employed to design our two stage model, given only one geometric marker to indicate the location of the inside region. The difficult case where the inside region is leaning towards the boundary of the interested feature is investigated with recommendations given and reliability tested. The model is mainly presented 2D but it can be easily generalised to 3D. We have implemented the model for segmenting both 2D and 3D images.
Managing information security in healthcare

Smart city consists of: waste management, smart energy, education, smart communications, smart transportation, traffic management, smart parking, smart streetlights and smart healthcare. All of these areas require management of information safety. Here, the topic is management of information safety in healthcare. The objective is to show the new approach to management of information safety, which involves all employees in this process. Whether manufacturing or service, public or private, organizations increasingly depend on information and communication technology (ICT). ICT presents in such extent that its users are not even aware of its influence. It is a usual part of any organization. However, the dependence on ICT holds a potential hazard for organizationâ€™s performance. Some issues about the ICT safety should be addressed in every organization. First, does the management of an organization is aware of the potential risks and problems in the ICT area, such as potential ICT unavailability (risk culture) or accidental damage? Is there a systematic approach to threat identification, vulnerability exploration, and evaluation of the impact of realized threats on the business? Is an organization aware of the value of ICT, which should be treated in the organization as any other asset influencing business efficiency and effectiveness? Preventive and corrective actions (system of controls) are warranted for mitigating the risk of destruction or abuse of ICT. In this paper, we discuss these questions and suggest possible solutions. There are many works about the topic but these are stressed only one segment in management of information safety. We used case study, observation and structure analysis in our exploration. The results will be presented here. The results will be useful for everybody who is worried about information security in organizations. Value of this paper is showing the need of multidisciplinary approach in management of information safety.
Security 4.0. Part one: Security and the fourth industrial revolution

The Fourth Industrial Revolution implies a total change in our way of life. To be adequate to the new security threats stemming from high technology, we need to analyze and evaluate them from the point of view of people's security.
أثر أنماط التوجیه فی الألعاب الألکترونیة فى تنمیة مهارات التعبیر باللغة الإنجلیزیة لدى تلامیذ المرحلة الأبتدائیة

يهدف البحث الحالي إلى تقصي أثر أنماط التوجيه في الألعاب الإلکترونية في تنمية مهارات التعبير باللغة الإنجليزية لدى تلاميذ المرحلة الابتدائية، ولتحقيق هذا الهدف تم تصميم لعبة ألغاز الکترونية لعلامات الترقيم التي تدرس بمادة اللغة الإنجليزية للصف الثالث الابتدائي. کما تم إعداد أداة البحث، والتي تمثلت في اختبار مفردات اللغة الإنجليزية من إعداد الباحثة. وتکونت عينة البحث من (24) تلميذا، وتم تقسيمها بشکل عشوائي إلى مجموعتين تجريبيتين، مجموعة مکونة من (12) تلميذا يدرسون باستخدام نمط توجيه بالوميض اللوني من خلال العاب الألغاز الإلکترونية ، وآخري مکونة من(12) تلميذا يدرسون باستخدام نمط توجيه بالأسهم من خلال العاب الألغاز الإلکترونية ، ثم تم إعداد اختبارين قبلي، وبعدي ، وتوصلت النتائج إلى وجود فروق ذات دلالة إحصائية عند مستوى (0,05)  بين متوسط درجات أفراد المجموعة التجريبية الأولي نمط الوميض اللوني في التحصيل لصالح القياس البعدي، ووجود فروق ذات دلالة إحصائية عند مستوى (0,05) بين متوسط درجات أفراد المجموعة التجريبية الثاني نمط التوجيه بالأسهم في التحصيل لصالح القياس القياس القبلي والقياس البعدي لصالح القياس البعدي.The current research aims to investigate the effect of the scaffolding types in electronic Games in Developing the Primary Stage of Pupils' English Writing Composition Skills; and to achieve this goal, an electronic puzzle game for punctuation marks that is taught in English language for the third grade of primary school was designed. The search tool was prepared, which consisted of an English language vocabulary test prepared by the researcher. The research sample consisted of (24) students, divided randomly into two experimental groups, one group consisting of (12) students using Flash color guidance pattern through electronic puzzle games, another group consisting of (12) students using Arrow Orientation pattern through electronic puzzle games, then tow tests were prepared: pre, and post for the two groups. The results showed differences between the average scores of the experimental groups in the post-measurement of the achievement test, for the benefit of the experimental group, The results found that there were statistically significant differences at the level of (0.05) between the average scores of the members of the initial experimental group with low achievement intensity in favor of the post measurement, and the presence of statistically significant differences at the level of (0.05) between the average scores of the pre-measurement and the post-measurement In favor of telemetry.
Detection of Unwanted Messages and Fraudulent User Identification on Social Network

Nowadays, social networking sites play a vital role for users to communicate and sharing information with other users online. Statistical analysis show that, on average, people spend most of their time on Facebook and Twitter which are constantly maintaining their position in most-viewed social networking sites than other sites. Usually many social networking users share their personal information and interest to other users publically. This leads to violation of privacy and attracts many intruders to steal their personal information and use them in an unauthorized manner. So there emerges a major concern in securing their personal details from fake ids and cyber security has become very crucial. In this paper, spammer identification technique on social networks like Facebook,Twitter are addressed. It has been implemented based on URL used by the user, trending topics and fake content shared by the users and fake users.  Various   kinds of features which are posted by the users are identified from which the nature of the user is detected as spam or not. Statistical studies proved that, this spammer detection schemes improves the detection accuracy rate constantly
THE EFFECTS OF PRE-QUESTIONING AND STUDENTS PERCEPTION ON TEACHING MEDIA TOWARDS STUDENTS READING COMPREHENSION

&lt;p&gt;&lt;em&gt;The objective of this study was to investigate the effect of pre-questioning and students perception on teaching media towards students’ reading comprehension in private vocational high school Tangerang&lt;/em&gt;&lt;em&gt;. The students were in the &lt;/em&gt;&lt;em&gt;relevant grade&lt;/em&gt;&lt;em&gt; (&lt;/em&gt;&lt;em&gt;second grade&lt;/em&gt;&lt;em&gt;) during a period of &lt;/em&gt;&lt;em&gt;three&lt;/em&gt;&lt;em&gt; months in which this study was conducted. &lt;/em&gt;&lt;em&gt;The &lt;/em&gt;&lt;em&gt;writer&lt;/em&gt;&lt;em&gt; used &lt;/em&gt;&lt;em&gt;survey&lt;/em&gt;&lt;em&gt; method in this study. &lt;/em&gt;&lt;em&gt;Data collection were conducted by taking the test and distributing questionnaires. &lt;/em&gt;&lt;em&gt;The data were processed and analyzed &lt;/em&gt;&lt;em&gt;by using statistic descriptive, normality test, linearity test, Multicorrineality test, and hypotheses test. Statistic test uses t test and F test. The research shows that there is an effect of students pre-questioning and students perception on teaching media altogether towards reading comprehension with the regression analisis: &lt;/em&gt;&lt;em&gt; = &lt;/em&gt;&lt;em&gt;34,89 &lt;/em&gt;&lt;em&gt;+&lt;/em&gt;&lt;em&gt; &lt;/em&gt;&lt;em&gt;0,408 &lt;/em&gt;&lt;em&gt;X&lt;/em&gt;&lt;em&gt;&lt;sub&gt;1&lt;/sub&gt;&lt;/em&gt;&lt;em&gt; – 0.056 X&lt;sub&gt;2&lt;/sub&gt;. Whenever there is a rise in the value of pre-questioning, there will be a rise in the level of students’ reading comprehension of 0,408 and whenever there is an increase in the value of students perception on teaching media, there will be a decrease in students’ reading comprehension for 0,056.&lt;/em&gt;&lt;/p&gt;
Implementasi system quality, information quality, service quality terhadap pembelajaran berbasis online di saat pandemi COVID-19 (studi kasus pada mahasiswa Feb UM Metro)

The problem in this research is in the world of education, in today's world conditions and Indonesia experiencing the COVID-19 epidemic so that the government's appeal stating work from home, social distancing and adjusting the work system does not mean public services and learning are stopped. however, all activities are carried out with the help of information technology or online. This research is an explanatory research, the location of this research is conducted at FEB UM Metro. The sample used is 150. The analytical tool used is SEM where system quality, information quality and service quality have no effect on user satisfaction, but user satisfaction has an effect on net benefits. Keywords: System Quality, Information Quality, Service Quality, User Satisfaction, Net Benefit
Geology, geochemistry and genesis of the iron mineralization in Jurassic volcano-sedimentary sequence of the Dash Aghol deposit, Northeast of Bukan, Sanandaj-Sirjan zone

The Dash Aghol iron deposit is located in the northeast of Bukan city and is hosted by Jurassic volcano-sedimentary sequence. The main host rock of the Dash Aghol deposit includes sandstone, limy tuff and limestone. Based on geometry of ore body, two different types of mineralization were distinguished in Dash Aghol deposit: lenticular primary mineralization which occurred as parallel and concordant with layering of the host rocks. Ore textures of this type include massive, laminated and disseminated forms existing in sandstone, limy tuff and limestone. Second type, includes supergene vein-veinlet and open space filling mineralization which is associated with faults and related brecciated zones and were occurred in hanging wall rocks of the primary ore lense. According to the stratigraphy, ore body form, texture, paragenetic sequences, ore bearing chert-carbonate- tuff facies and mineralogy, the iron mieralization in Dash Aghol deposit is stratiform tuff carbonate-sandstone host rocks deposits, in rolcano-sedimentary sequence of Jurassic, which were precipitated in shallow marine environment.
Traffic sign recognition using convolutional neural networks

Traffic sign recognition (TSR) can be used to recognize traffic signs by utilizing image processing. This paper presents traffic sign recognition in Indonesia using convolutional neural networks (CNN). The overall image dataset used is 2050 images of traffic signs, consisting of 10 kinds of signs. The CNN layer used in this study consists of one convolution layer, one pooling layer using maxpool operation, and one fully connected layer. The training algorithm used is stochastic gradient descent (SGD). At the training stage, using 1750 training images, 48 filters, and a learning rate of 0.005, the recognition results in 0.005 of loss and 100 % of accuracy. At the testing stage using 300 test images, the system recognizes the signs with 0.107 of loss and 97.33 % of accuracy.