Reviewerly/exHarmony huggingface dataset:
Macroeconomic variables and banking sector development: Evidence from Nigeria

The study assessed the relationship between Macroeconomic Variables and Development in the Nigerian Banking Sector using annual time series data. Models were specified using Ratio of Credits to Private Sector to Gross Domestic Product (GDP) as a proxy for Banking Sector Development. At the same time, GDP growth rate, Poverty, Exchange Rate, Oil Price, Poverty, Money Supply, Inflation, and Interest rates were the selected Macroeconomic Variables used in the study. Data used were sourced from the Statistical Bulletin of Central Bank of Nigeria (CBN) for various editions and estimated using ARDL Bound Test and Vector Error Correction Mechanism (VECM). The study found that there exists a long-run relationship between Macroeconomic Variables selected and Banking Sector Development. The VECM coefficients revealed that all variables except Interest Rates have negative effects on Banking Sector Development. The VECM (-1), which showed the speed of adjustment, was rightly signed and significant, indicating a long-run causality relationship running from macroeconomic variables to banking sector development. The Impulse response from restricted VAR revealed that Banking Sector responded to the Macroeconomic Variables of which GDPGR and INT were transmitting negatively to Banking Sector Development while others were transmitting positive impulses. However, the variance decomposition found that oil price, followed by GDPGR and poverty, caused more variation in Banking Sector Development. In contrast, inflation and money supply caused the least variation in Banking Sector Development. The study, therefore, concluded that selected Macroeconomic Variables have a significant long-run relationship with Banking Sector Development. It is therefore recommended, among others that, Macroeconomic indicators should be well monitored and controlled using macroeconomic instruments promptly since when they are well managed would lead to a better developed Banking Sector in Nigeria.
DAMPAK KEGIATAN PRODUKTIF DI TAMBANG PASIR TERHADAP PUTUS SEKOLAH PADA JENJANG SMP

One type of instant economic activity includes being sand miner and sand transporter in the sand mining area. The purpose of this study is to describe the impact of children's productive activities in the sand mine on dropout rates at the junior high school level in Keduwang Village, Blitar Regency. Respondents of the research data amounted to 38 children who carried out productive activities of sand mining. This study used cross-sectional survey research method with a quantitative approach that were supplemented with qualitative data. The collection technique used questionnaire, observation, and interviews. Data analysis techniques used descriptive data analysis techniques with the odds ratio method. The results indicate that the impact of children's productive activities in sand mining on dropout rates at junior high school level with decrease of children’s interest attending school. The results of odd ratio analysis indicate that the riskiest factor causing children to choose school dropout is productive activities in sand mining do not require special skills. The factor of not requiring special skills is proven to be six times the risk of causing children school dropout. The results provide description of how easy economic access and does not require skills has an impact on children's perceptions of going to school or working. Implications for the results of this research are expected to be a reference for government to pay attention to dropout rates that occur due to the productive activities of children in sand mining.
Robust Multi-View Representation Learning (Student Abstract)

Multi-view data has become ubiquitous, especially with multi-sensor systems like self-driving cars or medical patient-side monitors. We propose two methods to approach robust multi-view representation learning with the aim of leveraging local relationships between views.The first is an extension of Canonical Correlation Analysis (CCA) where we consider multiple one-vs-rest CCA problems, one for each view. We use a group-sparsity penalty to encourage finding local relationships. The second method is a straightforward extension of a multi-view AutoEncoder with view-level drop-out.We demonstrate the effectiveness of these methods in simple synthetic experiments. We also describe heuristics and extensions to improve and/or expand on these methods.
Clustering Pada Pelanggan Perusahaan Air Bersih Dengan Algoritma K-Means

progress, and increasing living standards have caused the need for clean Clean water services are a very important component of public services. Water is a basic need that cannot be separated from human life. The supply of clean water is of particular concern to every country in the world, including in Indonesia. Population growth, development water to continue to increase. Technological improvements and rapid population growth are now encouraging mineral water companies to continue to innovate and expand their market network in order to continue to survive and compete with companies - companies. A product that can be desired by consumers must be able to provide satisfaction to consumers who consume these products. In realizing the goals to achieve customer satisfaction, companies must be able to learn in advance about products that consumers are interested in, habits carried out by consumers, why consumers are interested in consuming these items, and how many products are needed by consumers. The author wants clean water customers which will be clustered using the K-means algorithm to do which provinces will get customers of clean water companies.
Augmented Reality based Attendee Interaction at Events

Augmented Reality (AR) was first shown during the 1960s, yet as of late have innovations risen that can be utilized to effortlessly send AR applications to numerous clients. Camera-furnished phones with critical preparing force and illustrations capacities give a modest and adaptable stage for AR applications, while the person to person communication innovation of Web 2.0 gives a huge scale foundation to cooperatively creating and appropriating geo-referenced AR content. This mix of generally utilized versatile equipment and Web 2.0 programming permits the improvement of another kind of AR stage that can be utilized on a worldwide scale. VR and AR are changing the way that coordinators, patrons, and merchants draw in with participants on occasions. As time passes, innovation keeps on impelling the occasions business higher than ever. Also, among the occasion drifts that keep on molding the space, VR and AR are becoming key impetus for development .In this project, you are attempting to comprehend and actualize the Augmented Reality idea and present existing work on versatile AR and web innovations that could be utilized to make AR applications to build up an Attendee Interaction Model utilizing AR.I.
INNOVATIVE POTENTIAL AND INNOVATIVE ACTIVITY OF YOUNG PEOPLE IN THE HIGHER EDUCATION SPACE: DYNAMICS AND PROSPECTS

The systemic transformations that are taking place in all spheres of both Russian and global society are creating new challenges for a new reality, where the main competitive advantage will be knowledge and the ability to innovate. As you know, it is the younger generation that is most capable of innovation. In this regard, the study of the formation and development of innovative potential inside an educational institution is particularly relevant. The main conclusions are based on long-term sociological research (from 2011 to 2020) conducted by the author, the main purpose of which is to study the scientific and innovative potential of students, the degree of their involvement, forms and mechanisms of motivation and stimulation. The author concludes that in the views of young people about the value of science, the association with life success dominates, but scientific activity is not perceived as a trajectory of permanent success, as well as the directions of the development of the system of state regulation of scientific and innovative activity of University students are determined.
IMPLEMENTASI FRAMEWORK COBIT 5.0 FOKUS DOMAIN DELIVERY, SUPPORT, DAN SERVICE PADA PT.XYZ

&lt;p&gt;&lt;em&gt;XYZ company has implemented information technology in the company's operations. Information technology management audits are needed to find out whether the application of information technology is in accordance with the company's control standards. The framework used in this research was COBIT 5.0 domain that is DSS (Delivery, support, dan service) because the DSS domain includes has IT management scope, data management scope, and facility operational scope. This research aimed to evaluate information technology management at the company. Audit results shows that the company's capability level in 4th level (Predictable Process). Predictable Process means that DSS domain process has been standarized, do the IT process, and achieved process. Capability level that the company wants to be achieve is 5th level (Optimizing Process). To achieve this level, companies must innovate and make sustainability improvements.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;em&gt;&lt;strong&gt;Keywords&lt;/strong&gt;&lt;/em&gt;&lt;em&gt;: COBIT 5.0 Framework, Delivery, support, dan service, DSS Domain, IT Management of Audit&lt;/em&gt; &lt;/p&gt;&lt;p&gt;&lt;em&gt;PT. XYZ adalah perusahaan yang telah menerapkan teknologi informasi dalam operasional perusahaan. Audit manajemen teknologi informasi diperlukan untuk mengetahui apakah penerapan teknologi informasi sudah sesuai dengan standar control perusahaan. Framework yang digunakan dalam penelitian ini adalah COBIT 5.0 domain yang DSS (Delivery, support, dan service) karena domain DSS mencakup pengelolaan layanan teknologi informasi, pengelolaan data, dan operasional fasilitas. Penelitian ini bertujuan untuk mengevaluasi manajemen teknologi informasi pada perusahaan tersebut. Berdasarkan hasil audit, capability level perusahaan berada pada level 4 (Predictable Process). Predictable Process diartikan proses domain DSS pada perusahaan telah terstandarisasi, melakukan proses sesuai dengan standar yang ditetapkan, dan mencapai hasil dari proses tersebut. Namun, expected level yang ingin dicapai perusahaan adalah level 5 (Optimizing Process). Untuk mencapai level tersebut, perusahaan harus membuat inovasi dan melakukan perbaikan yang berkelanjutan.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;em&gt;&lt;strong&gt;Kata kunci&lt;/strong&gt;&lt;/em&gt;&lt;em&gt;: Audit Manajemen Teknologi Informasi, Delivery, support, dan service, Domain DSS, Framework COBIT 5.&lt;/em&gt;&lt;/p&gt;
GERMENES! GERMENES! GERMENES! GUIA INFATIL PARA DETENER EL COVID-19

Two files are attached; Spanish_GermsGermsGerms_Original is the original handout which has sharper lines and slightly better text and images (better for printing), while Spanish_GermsGermsGerms_Accessible has been made more digitally accessible through the application of optical character recognition (OCR), tags, and other accessibility measures, which resulted in slightly poorer quality of text and images (but better for digital access).
Perturbation of the Numerical Range of Unitary Matrices

In this work we show how to approach the problem of manipulating the numerical range of a unitary matrix. This task has far-reaching impact on the study of discrimination of quantum measurements. We achieve the aforementioned manipulation by introducing a method which allows us to find a unitary matrix whose numerical range contains the origin where at the same time the distance between unitary matrix and its perturbation is relative small in given metric.
PEMAHAMAN STRUKTUR KALIMAT DIHUBUNGKAN DENGAN KOMPETENSI PEMRODUKSIAN BAHASA INGGRIS

Learning a foreign language, in this case English, usually means learning to speak in that language while understanding it. Therefore, language learning always involves two elements, namely comprehension and production. Both elements are closely related to the study of language learning performance, especially in foreign language learning. Related to that, a quantitative research was conducted over 33 learners of English in order to find out the extent to which the learners understood the structure of simple English sentences related to their ability to produce English sentences. Research data was obtained through 2 kinds of tests. The data about comprehension was in the form of true or false cloze-test of totaling 50 simple sentences with the argument structures. While the data of production was in the form of written tests of simple sentence constructions based on pictures and instructions about the pictures. Both of the tests used a number of verbs most commonly remembered by the students of English Department, Darma Persada University. The result of the research showed that their comprehension level was 65.64% with a variation in the distribution score between them was 8.79, and their production was 28.36% with a standard deviation of production of 17.37. The gap between the level of comprehension and the level of production was relatively large which means that the average production competency of the subjects was below their comprehension competency.
Understanding Cybercrime and its Consequence Worldwide

In today's world, (www) or the World Wide Web, the Internet is used by almost everyone around the world for getting small information to large money transactions. The internet was invented to benefit the world but it can now being misused. This paper presents a comprehensive and systematic review of Cyber Crime and it's consequence worldwide. This paper reviewsthat can be incorporated in the system according to specific needs.
A Survey on Cloud Computing: Structured Organization of Data Center

Now days, utilization of data centers power has big influences on environments.Data centers are energy-vacancy, crucial architectures that direct large-scale internet-based benefits.The excessive energy utilization and green temptation of data centers have turned in to a serious concern.Energy expenditures are decisive in good planning and improvising energy-resourceful functions to control extreme level of energy utilization in the data center.Experts are searching for locating efficient explanations to construct data centers to decrease energy expenditure where retaining the preferred feature of service objectives.Hence, Green Cloud is desired that cannot entirely minimize operating expenses but also restrict energy for the natural environment.This study organizes structural foundations, resource saturation for data Centre and challenges for energy efficient organization of cloud computing environment.Besides all this, energy-economy fashions in data centers in future are shown in this paper.
Metode Membentuk Kesehatan Mental Siswa Melalui Kegiatan Ice Breaking

Students' mental healt has decreased as a result of stress, depression, lack of rest time and high learning load. Then the best method is needed to reduce the poor of students' mental healt. Ice breaking is one of the methods in building students' mentality. The purpose of this study is to find out the right ice breaking technique in an effort to grow student mentality and the benefits of the application of ice breaking. In Technique Data analysis, used techniques with qualitative descriptive analysis. The conclusion of this study is, ice breaking is one of method that can be used to help the mental build of students so that students can follow the learning process with enthusiasm, fun and mentality of students formed properly.
Re-Thinking LiDAR-Stereo Fusion Frameworks (Student Abstract)

In this paper, we present a 2-step framework for high-precision dense depth perception from stereo RGB images and sparse LiDAR input. In the first step, we train a deep neural network to predict dense depth map from the left image and sparse LiDAR data, in a novel self-supervised manner. Then in the second step, we compute a disparity map from the predicted depths, and refining the disparity map by making sure that for every pixel in the left, its match in the right image, according to the final disparity, is the local optimum.
Analysis of Name Entities in Text Using Robust Disambiguation Method

&lt;em&gt;Named entities are proper nouns or objects contained in a text, such as a person's name, country name, and others. Names of persons in some text are often ambiguous, which makes it difficult for ordinary people to find out these same names are the same person or not. An ambiguity of names also found in hadith, like the name Abdullah in hadith number 86 and 2411, that might be the same person or might be different. Based on this problem, then this study focuses on named entity disambiguation, which considered further semantic and lexical relation between a named entity. Expected in the future, it would help people to understand the ambiguity of the name or distinguish ambiguous names. The method used in this research was Robust Disambiguation because, in this method, the context of the named entity considered. The resulted output obtained was in the form of named entity that grouped based on the same person or different person processed with Density-based Spatial Clustering of Applications with Noise. This research resulted in an accuracy value of 90%, a precision value of 97%, and a recall value of 89% obtained from actual value and predicted value&lt;/em&gt;
Solving the Watchman Route Problem on a Grid with Heuristic Search

In this paper we optimally solve the Watchman Route Problem (WRP) on a grid. We are given a grid map with obstacles and the task is to (offline) find a (shortest) path through the grid such that all cells in the map can be visually seen by at least one c ll on the path. WRP is a reminiscent but is different from graph covering and mapping problems which are done online on an unknown graph. We formalize WRP as a heuristic search problem and solve it with an A*-based algorithm. We develop a series of admissible heuristics with increasing difficulty and accuracy. In particular, our heuristics abstract the problem into line-of-sight clusters graph. Then, solutions for the minimum spanning tree (MST) and the traveling salesman problem (TSP) on this graph are used as admissible heuristics for WRP. We theoretically and experimentally study these heuristics and show that we can optimally and suboptimally solve problems of increasing difficulties.
Biologically Inspired Reasoning Scheme for Semantic Sensor Network Ontology in Efficient Disaster Surveillance

Semantic sensor web (SSW) technologies from the sensor web enablement (SWE) standard of open geospatial consortium (OGC) are useful for surveillance in disaster situations.In SSW, the characteristics of sensors are represented as a semantic sensor network (SSN) ontology, which enables semantic interpretation and situation learning.For efficient disaster surveillance, various sensors are deployed over a large-scale geographic area.Furthermore, mobile devices carried by citizens can be recruited during emergencies.However, the heterogeneity of the recruited devices results in the need for additional processing of data attributes.To overcome the shortage of resources during an emergency, a biologically inspired learning scheme can be adopted.The scheme is based on the spike rates of each sensor, thus ignoring much of the information by calculating the relative timing between individual signals shared, and integrated semantic ontologies help deduce information from temporal and spatial contexts.Our approach focuses on the asynchronous and spiking nature of sensors and extracts relevant temporal features in spatial dynamics.We propose a scheme utilizing spike-timing-dependent plasticity (STDP) to process the vast number of signals sent from newly recruited sensors, which factors in the relative timing of signals.To achieve higher reasoning efficiency, mechanisms behind brain synaptic plasticity, specifically, latent inhibition, long-term depression, and long-term potentiation observed in the STDP learning rule are applied.These mechanisms enable a more suitable response inference under time-critical circumstances.
THE WAY FROM THINKING TO SPIRITUAL INSIGHT: THE LITERARY TEXT DISCOURSE IN THE FRAMEWORK OF HUMANITARIAN SECURITY OF THE PRESENT

The article discusses problems of scientific and theoretical aspects of algorithms of innovative changes in the system of modern school. In their basis lies the answer of modern Pedagogy to present-day challenges, when the educational science, performing its historical tasks, develops preconditions for assurance of quality innovative processes of pedagogical interaction in the “education-society” system. This forms the basis of the humanitarian security of our society. The paper considers the problems of updating and introducing the innovative content of education, reformatting the system of requirements to the knowledge and skills of a high school student, the maximum interaction between practice and study, which are formed on the basis of well-thought-out culturological influence. The system of formation of culturological competence is studied as the one, which arises as a consequence of the symbiosis of the efforts of all units in the educationally process at modern school.The system of formation of human personality is considered in the system of personally oriented education. The paper analyzes the influence of the subjects of the humanitarian cycle on the formation of the following personal qualities of a student: purposeful will, well-thought-out action and psychological and volitional efforts. The paradigm of human-centered Pedagogy has been studied in the system of two most important directions. The realization of creative possibilities of human individuality should be useful for each individual, as well as for the whole humanity.
Towards Intelligent Narrative-Based Interfaces for Sensemaking

Professionals such as military analysts, medical providers, and business administrators have a significant need to understand and make sense of an increasing quantity of data. We propose intelligent narrative-based interfaces as a means of organizing, presenting, and interacting with this data to im-prove user comprehension. This paper identifies critical questions and potential research paths in intelligent narrative-based interfaces for sensemaking. We propose a general architecture of intelligent narrative-based interfaces and identify central research questions in this area. We believe this new area of research has significant potential to use narrative technologies to impact a wide range of real world problems.
Privacy Preserving Planning in Stochastic Environments

Collaborative privacy preserving planning (cppp) has gained much attention in the past decade. To date, cppp has focused on domains with deterministic action effects. In this paper, we extend cppp to domains with stochastic action effects. We show how such environments can be modeled as an mdp. We then focus on the popular Real-Time Dynamic Programming (RTDP) algorithm for computing value functions for mdps, extending it to the stochastic cppp setting. We provide two versions of RTDP: a complete version identical to executing centralized RTDP, and an approximate version that sends significantly fewer messages and computes competitive policies in practice. We experiment on domains adapted from the deterministic cppp literature.