Reviewerly/exHarmony huggingface dataset:
PENGARUH PEMBIAYAAN PENDIDIKAN DAN KUALITAS PELAKSANAAN PEMBELAJARAN TERHADAP PRESTASI BELAJAR EKONOMI SISWA DI SMA NEGERI 2 JENEPONTO

This study aims to know the influence of financing education and quality of learning implementation of the student’s economic learning outcomes in SMA Negeri 2 Jeneponto, Jeneponto regency, academic year 2017/2018. The population in this study were 395 students of majoring in social science and the sample was 59 students. The method used in this study is quantitative research with ex post facto approach. The first and second hypothesis test used simple linear regression analysis, the third hypothesis test used  multiplelinear regression. The result of the study showed that (1) the financing education seen from indirect costs and personal costs aspect the which has positive and significant impact on student’s economic learning outcomes which is was seen by the knowledge  and skills aspect. (2) the quality of student learning implementation is seen by the materials learning aspect, teaching and learning activities, methods, tools and learning sources whitch have positif and significant impact on student’s economic learning outcomes which is seen by the knowledge and skills. (3) the financing education and the quality of learning implementation simultan eously have positive and significant impact on the student’s economic learning outcomes which is seen by the knowledge and skills aspect of students of SMA Negeri 2 Jeneponto academic year 2017/2018. Keyword : Financing education, quality of learning implementation, student’s economic, learning outcomes.
Studies of innovative pedagogical activity of a teacher(article in collective monograph "Modern Approaches to Knowledge Management Development")

Abstract. Every period of society and education development is also defined by socio-political events and characterized by conditions that require changes in all spheres of life, as well as in pedagogy. Today's secondary education must meet the requirements of the times. To prepare the younger generation to be competitive in the labor market. These changes are based on the embodiment of a new, non-existing or existing as another dialectical form. At different times School reflected a certain era in the development of society. Thus, in the 80s of the twentieth century, teachers who used innovative technologies in their pedagogical activity began to be called innovative teachers. Such teachers were: A. Zakharenko, A. Solohub, A. Alfimov, M. Huzyk, O. Shcherbakov, P.A. Heval and many others. Teacher is the main figure in forming the future citizen of any country. Therefore, the authors of the article pay attention of the reader at the integrity portrait of teacher. He is the first in his professional activity to use innovative pedagogical technologies, which are revealed in the text of the article.
Encryption for stateless file sharing

This specification provides a protocol for sharing encrypted files using the stateless file sharing protocol (XEP-xxxx).
Summary of the 1st ICSSP-ICGSE Joint Event

Having the common objective of bringing together researchers and industry practitioners to share their research findings, experiences, and new ideas as well as sharing topics of interest, the organizing committees of the 14th International Conference on Software and System Processes (ICSSP) and the 15th International Conference on Global Software Engineering (ICGSE) ceased the opportunity to explore the idea of bringing together the two communities once it was clear that the International Conference on Software Engineering and all its co-located events had to be redesigned as online events.
Energy-aware automatic tuning on many-core platform via adaptive evolution

Even though attaining high performance has been the user's pursuit traditionally, in the many-core era the emphasis has shifted towards controlling the power and energy consumption to maintain a satisfying performance while consuming an acceptable amount of energy. This applies to both high performance and mobile computing platforms. To achieve this goal, we propose evolution algorithm based automatic tuning as one feasible solution for energy-aware computing on many-core microprocessors. In this paper, we present several auto-tuning approaches employing differential evolution (DE) algorithms and genetic algorithm (GA). Our target is to approach the optimal setting of different power islands on a many-core platform as fast as possible when running multiple programs. Comparing with brutal-force approaches, our solution has the advantage of fast converging speed without the need to traverse the entire search space, and runtime tuning without a priori knowledge of the software workload. Our experimental results show that adaptive differential evolution algorithm is able to achieve reduced energy consumption as well as better energy-delay product (EDP) than other representative algorithms that we examined. Based on the results we obtained, we believe adaptive evolution based auto-tuning approach is an effective method towards energy-efficient computing on many-core platforms.
Pengaruh Perubahan Material Penampang Saluran Irigasi Terhadap Luas Areal Layanan Daerah Irigasi Gumbasa

The Palu earthquake in September 2018 caused damage in various sectors, the GumbasaIrrigation Network was also damaged and will be repaired, repairs in primary canal werecarried out along 36,047 km using concrete material on the side and bottom of thechannel.Gumbasa Irrigation Networks has 8180 Ha service area ,and has 40 tapping structure,2 split structure and 16 split tapping structure. With the change of channel material in theprimary channel, the water level decreased between 5 cm - 55 cm, from 40 tapping structure inthe primary channel only 4 tapping structure that can still deliver water to their service area,there has been a reduction in service area from 2965 Ha to 50.2 Ha, and from 18 secondarychannels, there is only 1 that cannot supplay water into its service area, while others can stillflow even if it is not according to needs, there is a decrease in service area from 5215 Ha to2948 ha. So overall with the change in channel material from soil to concrete, the service areain Gumbasa decreased from 8180 Ha to 2998 Ha or 36.7% of the planned service area. Thiscan be resolved by raising the base of the channel between 5 cm - 55 cm,or changing thedimensions and sloope of the channel
An Improved Ternary Logic Synthesis Approach Using Ternary Max-Min Algebra

Abstract Quantum computation which relies on exploiting quantum mechanical phenomena, has received significant attention in recent years. Higher dimensional quantum systems increase the density of encoded information per computing element (e.g. qutrit for the 3-level system), resulting in less resource overhead. Recently, there have been several works in the synthesis of ternary reversible functions, most of which are not scalable. Therefore, this study proposes a scalable approach for the synthesis of ternary logic functions using Max-Min algebra. In this approach, from a ternary truth table, Max-Min expressions are first generated with the help of ternary Max-Min algebra. Then, the expressions are minimized using Boolean simplification rules. After that, the minimized expressions are mapped to ternary reversible gates. We have also proposed a decomposition structure to map the ternary reversible gates into ternary elementary gates. Experimental evaluation shows that the proposed synthesis approach is more scalable as compared to existing synthesis approaches. Keywords: Ternary reversible circuit, quantum computing, qutrit, reversible literals, non-reversible literals Cite this Article P. Mercy Nesa Rani, Leniency Marbaniang, Majid Haghparast, Kamalika Datta. An Improved Ternary Logic Synthesis Approach Using Ternary Max-Min Algebra. Journal of Advanced Database Management & Systems. 2019; 6(2): 40–47p.
Meningkatkan Minat pada Mata Pelajaran Matematika Siswa Kelas VI SD Pasirnangka pada Materi Pengelolaan Data

The method used in this research is PTK research (classroom action research). In this study, researchers collected data through interviews with grade VI at SD Pasirnangka teachers and collected various existing data sources. From various sources available by analyzing the students in class VI. The purpose of this study was to determine the shortcomings of mathematics in data management materials. Before the researchers conducted the analysis, students' learning ability in Mathematics was still low. This is caused by students' lack of interest in these subjects. Besides, students easily feel bored during the learning process because the teacher only uses the lecture method. So that student activity is less dominant. Based on the results of research that has been carried out, this researcher needs to make corrective actions to improve student learning outcomes in data management materials. Then the learning can be done with discussion groups so that students are more active and understand the subject matter. In the learning process, student activities begin with observation, then ask questions, try, network, and analyze.
Enhanced memory for sentences read aloud conversationally versus clearly: Evidence from sentence recognition memory and recall

Native and non-native listeners were more accurate in identifying sentences as previously heard and in recalling words and entire sentences when they heard clear speech compared to conversational speech (Keerstock and Smiljanic, 2018, 2019). This clear speech benefit on listeners' memory might in part be due to decreased listening effort in perceiving intelligibility-enhancing clear speech (“effortfulness hypothesis,” Rabbitt, 1968). The effect of reading sentences aloud in clear speech on talkers' memory, however, is unknown. We hypothesized that the effort required to produce clear speech could detrimentally affect memory encoding. In the present study, native and non-native English speakers read sentences aloud in clear and conversational speaking styles. Their memory of the read sentences was assessed either via a sentence recognition memory task (Experiment 1; n = 90) or a recall task (Experiment 2; n = 75). Results from both experiments showed superior retention of spoken information for sentences read aloud conversationally rather than clearly. The results indicate that producing clear speech, unlike perceiving it, interferes with sentence recognition memory and recall. Production of listener-oriented hyper-articulated speech may increase cognitive load leaving fewer cognitive resources available for storing spoken information in memory.
Intelligent System for Early Detection and Classification of Breast Cancer: Data Driven Learning

Data driven learning models have not been successfully implemented due to higher rate of false positive in the detection of breast cancer lesions using mammograms. This research aims to decrease the false positive and increase the accuracy and to keep the independent features as they are. The intelligent system designed uses Fuzzy C as the morphological operators to eliminate the undesired elements of a mammogram. The embedded intelligence for breast cancer in this work has increased the accuracy rate of ~96% compared to existing rate of ~91% leading to the average processing time 0.459S with respect to current timing of 0.598S. Data driven model introduced targets on improving the detection of mass lesions by forcing to ignore undesired texture patterns. Hence, the intelligent system improves the positive rate of mammogram screening by decreasing the false positive rate. Data driven point of care system has been built using convolutional neural networks by applying the Rectifier Liner Unit (ReLU) activation function based on the personalized features extracted for early detection and classification of breast cancer.
Influence of Demographic Factors on Perceptions Towards Performance Appraisal Practices Among the Multinational Corporation Employees in Andhra Pradesh

Performance appraisal is a double-edged sword where an organization that can win the support of employees, by placing the effective performance appraisal system the employees' satisfaction and organizational performance can be achieved. It is evident from the previous studies that it is critical in understanding the employee’s perceptions and behaviours frequently to tailor and incorporate employee-oriented systems in the organization. Hence the present study is sought to understand the perceptions of employees towards the performance appraisal system followed by their organizations to redesign the present system. To understand the perception of employees with more accuracy the study employs cross-sectional analysis based on demographic factors that should be performed. The demographic factors considered in the study are gender, age group, qualifications, experience, and designation. The study employees a descriptive research design and convenience sampling method to collect the primary data through structured questionnaire collected from the employees working in various MNC’s operating in Sri City Economic Zone, Nellore, Andhra Pradesh, India. The study findings reveal some interesting facts like men and women employees have different perceptions of performance appraisal practices implemented in their organization. In addition, the study finds that other factors like age, performance appraisal practices.
Central Louisiana Technical Community College Library: Drafting and Design Technology: Home

This guide will help you find information on Drafting and Design Technology in print and online.
Social Barriers to Innovation in Higher Education: Key Stakeholders’ Perception

In this paper the results of an ascertaining experiment are presented. The experiment took place in Samara State University of Economics, Russia. The purpose of this study was to determine the individual barriers to technological innovations within higher educational institutions and to find possible remedies that could overcome the resistance to innovation among key internal stakeholders of universities. The methodological approach taken in this study is a mixed methodology based on content analysis of students’ interviews and mathematical statistics. The cohort of students, who previously took part in the distance learning projects, was examined for their negative perceptions of technological innovations. The students’ responses were then analysed and, the factors that could block the innovation were selected. The data analysis revealed the prevalence of non-affective barriers over the affective ones. This study suggests that innovation managers, who are responsible for implementing distance learning at universities, should closely monitor social factors that could block innovative projects, and support sustainable communication process with the internal stakeholders.
DIGITALIZATION OF HOSPITALS USING HOSPITAL INFORMATION SYSTEM

In present developing world many health problems are arising such as HIV, malaria, tuberculosis and some recently swine flu, bird flu and corona have threaten the health and lives of huge number of individuals over the world. The important barriers in providing proper medication and medical care for disease is lack of infrastructure and trained manpower. The aim of this paper is to automate its existing system with the help of computerized equipments and full-fledged mobile application to store valuable information for longer period by allowing easy access and manipulation of the same.
Analysing Features Learned Using Unsupervised Models on Program Embeddings

In this paper, we propose a novel approach for analyzing and evaluating how a deep neural network is autonomously learning different features related to programs on different input representations. We trained a simple autoencoder having 5 hidden layers on a dataset containing Java programs, and we tested the ability of each of its neurons in detecting different program features using only unlabeled data for the training phase. For doing that, we designed two binary classification problems having different scopes: while the first one is based on the program cyclomatic complexity, the other one is defined starting from the identifiers chosen by the programmers, making it more related to the functionality (and thus, to some extent, to the semantic) of the program than to its structure. Using different program vector representations as input, we performed experiments considering the two problems, showing how some neurons can be effectively used as classifiers for programs on different binary tasks. We also discuss how the program representation chosen as input affects the classification performance, stating that new and customized program embeddings could be designed in order to obtain models able to solve different tasks guided by the proposed benchmarking approach.
Biometric Based User Authentication Protocol in Smart Homes

The smart home is an important Internet of Things applications. Due to the smartphones development, expansion of their network, and growing the data transfer rate, security in personal life has become a dramatic challenge. Therefore, it is essential to secure such a system to create a sense of relaxation in the lives of users and homeowners to deal with possible occurrences. The integration of technologies for the automation of home affairs with the Internet of things means that all physical objects can be accessed on cyberspace; therefore, the concerns raised by users about the lack of privacy and security are serious arguments that science and technology should answer. Therefore, addressing security issues is a crucial necessity for the development of the smart homes. Although authentication protocols have been proposed based on smart cards for multi-server architectures, their schemes cannot protect the system against stolen smart cards and dictionary attacks in the login phase and do not satisfy perfect forward secrecy. To overcome these limitations, this paper proposes an anonymous, secure protocol in connected smart home environments, using solely lightweight operations. The proposed protocol in this paper provides efficient authentication, key agreement, and enables the anonymity of devices and unlinkability. It is demonstrated that the computation complexity of the protocol is low as compared to the existing schemes, while security has been significantly improved. This protocol ensures that even if the stakeholder’s device or the IoT device is attacked, they are robust against them.
LibGuides: LIbrary Basics: Getting Help

This guide is intended as an overview to the finding resources within the library to help you get started!
Basin scale hypsometry of the Himalayan fold-and-thrust belt and its tectonic implications

&amp;lt;p&amp;gt;The style of deformation of the Himalaya has been proposed to be localized along the Main Himalayan Thrust (MHT), underlying the entire range and becoming emergent at the Main Frontal Thrust (MFT). An alternative model focuses on the significance of a physiographic boundary known as PT&amp;lt;sub&amp;gt;2, &amp;lt;/sub&amp;gt;south of the Main Central Thrust (MCT), and proposes out-of-sequence deformation. It is interesting to test these models using variations in drainage basin scale hypsometry of the Himalayan range, and to understand the relation between these variations and the main tectonic structures of the Himalaya. This study utilises SRTM 30 m datasets to extract Hypsometric Index (HI) values for the 3&amp;lt;sup&amp;gt;rd &amp;lt;/sup&amp;gt;order river basins of the Himalayan range and southern Tibetan Plateau.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;A major change in HI values is coincident with the trace of the Main Frontal Thrust (MFT), with higher values north of this structure than in the foreland to the south. There is smaller magnitude increase in HI across PT&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;. Results also show a pronounced drop in HI on the northern side of the Himalaya, which is roughly coincident with the location of the South Tibetan Detachment Fault (STDF). The sharp rise in HI values across the MFT is consistent with slip along the MHT raising the entire crustal wedge above it, but the limited rise across PT&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; offers no strong support for the out-of-sequence model. The drop in HI across the STDF could represent geomorphic control by the STDF, but this fault has been inactive for millions of years. An alternative explanation is that the decrease in HI values is controlled by underlying changes on the MHT, and the transition from locked to creeping behaviour on this structure.&amp;lt;/p&amp;gt;
Secure Information consume in Distributed Computing Utilizing Revocable Capacity Uniformity Based Encryption

Cloud computing provides a flexible and way that is convenient data sharing, which brings various benefits for the society and people. But there is certainly a resistance that is natural users to directly outsource the shared data into the cloud server considering that the data often contain valuable information. Thus, it is crucial to position access that is cryptographically enhanced from the shared data. Identity-based encryption is a promising cryptographical primitive to construct a practical data system that is sharing. However, access control is certainly not static.
Hazing, Black Sororities, and Organizational Dynamics

Hazing is a legal problem that is seemingly intractable. In this article, the authors consider this problem in the context of black sororities. We explore the ways in which a set of organizational dynamics help perpetuate hazing within these groups. Specifically, we explore three things. First, we investigate why leaders matter to organizations and what a certain type of leader could offer black sororities as they seek to address hazing. Second, we explore why black sororities, by way of example, may fail to elect leaders who can move the needle on organizational hazing. Third, we investigate the factors that undermine black sorority leaders' ability to make the most rational and informed decisions about how to address hazing. We hope that the insights in this article provide food for thought for other organizations that are grappling with hazing.
Data Processing in AWS

Data processing is one of the first steps of the machine learning pipeline. As different sources of data have different formats, it becomes almost impossible to handle all the formats inside the model. Hence, we give the data a synchronous structure, and then we try to process different unwanted sections of it. These sections include the null values, outliers, dummification of categorical columns, standardization of numerical columns, etc. We can use SageMaker effectively to process the data in all these domains. This chapter assumes that you have knowledge about different data processing techniques and their implementation in Python. This chapter will be dedicated to using SageMaker to do this.
Similarity Measure for Binary Function Based on Graph Mover’s Distance

Graph matching has a wide range of applications. However, graph matching faces two challenges: high computational complexity and loss information of graph embedded. In order to solve these two problems and correctly identify the similarity between two function control flow graphs, we propose a binary function similarity comparison method based on Graph Mover's Distance. The model takes two graphs as input, and first learns the spatial structure of the nodes in the graph based on the graph attention neural network to form the node embedding. Then we use the sum of the distance between the two sets of node embeddings to represent the distance between the graphs as the graph similarity index. We conduct experiments on the control flow graph of the program and prove the effectiveness of the method.