Reviewerly/exHarmony huggingface dataset:
OPINION CLASSIFICATION OF TWEETS USING MACHINE LEARNING

It is a training that clients or clients mean to share their remarks or surveys about any product in different socialnetworking sites..Analyst usually processes to reviews properly to obtain any meaningful information from it.Classification of sentiments associated with audits is one of these preparing steps. The audits surrounded are regularlymade in content format. While processing the text reviews, each word of the review is considered as a feature. In thismanner, determination of right sort of highlights should be completed to choose the best component from the set of allfeatures. In this paper, the machine learning algorithm, i.e., support vector machine, is utilized to analyze the polarity andsubjectivity of the reviews. These highlights are then offered contribution to artificial neural system strategy, to processfurther. Diverse execution assessment parameters, for example, exactness, review, f-measure, precision have beenconsidered to assess the presentation of the proposed approach on two distinctive datasets, i.e., IMDb dataset andextremity dataset.
In Situ Improvised Soundscape Mixing

This project developed and articulated an approach to preparing for, carrying out and editing recordings of soundwalks. Reconceiving the soundwalk as an improvisational performance practice in which choices about route and timing are informed by real-time decision-making and intuition rather than pre-determined planning, chosen spaces are performed for the benefit of binaural recordings and for later editing. The research is innovative in its engagement with the use of sound separation and its adherence to a spatial point-of-audition in the performance/recording. An essay published on the author's website describes the techniques to be used in the preparation, performance, recording and editing stages. The project also resulted in an album, ‘Shops, Trains and Leaves’ on the Set Foot Press label [https://setfootpress.bandcamp.com/album/shops-trains-and-leaves].
AGE, ETHNICITY AND EMOTION RECOGNITION USING MTCNN

Age, ethnicity, and emotion are quite important attributes of people that determine their interests.Knowledge of age and ethnicity has also been found to improve medical diagnosis as different diseases are more prevalent in different races and age groups.Most of the existing works are focused on identifying age, ethnicity, and emotion in images having a single person, and their faces well-lit and facing forward are nearly trivial, however, real applications need to consider different face angles and differences in lighting conditions.Work by Sneha Thakur [1] et. al. uses Artificial Neural Network to identify the age of a person but requires faces to front-facing.Other such works such as by S. Hma Salah, et.al. [2] and Xiaoguang Lu et.al. [3] identifies ethnicity using Haar Wavelet Features and Linear Discriminant Analysis but still have similar image restrictions.Also, these methods only focus on cases where only one person is present per image but realistically many people could be present in a single image.Identifying people's interests and giving proper product recommendations is a hot field in consumer analytics.A proper identification model that works on realistic images can give a boost to this domain.In this paper, we are going to propose a method to identify age, ethnicity, and emotion in images having many people facing different ways and in different lighting conditions.Our approach firstly extracts faces using a pre-trained face localization model and then feeding them to separate neural network models, one each for detecting age, ethnicity, and emotion.
Why Active-Active Data Centers Fit the Bill for Local Governments

Some cities and counties eliminate the worry of outages by investing in two running data centers.
Parallel Implementation of Nearest Feature Line and Rectified Nearest Feature Line Segment Classifiers Using OpenMP

Parallelizing computationally expensive classification algorithms, such as the Rectified Nearest Feature Line Segment (RNFLS), remains a task for expert programmers due to the complexity involved in rewriting the application and the required knowledge of the available hardware and tools. A simple parallel implementation of the Nearest Feature Line (NFL) and the RNFLS algorithms using OpenMP over multicore architectures is presented. Both non-parametric classifiers are used in the classification of datasets that contain few samples. The training and testing evaluation technique is used, with a 70–30 ratio respectively and seven datasets from the UCI repository, to verify the speedup and the accuracy of the classifier. Results and experiments derived from the parallel execution of both algorithms, calculating the average of 20 repetitions on a small architecture of 6 physical cores and 12 ones with multi-threading, show that accelerations of up to 21 times can be achieved with NFL and up to 13 times with RNFLS.
The New Roles Of Teachers In 21st Century Learning

The main discussion aims to identify the new roles of teachers in the 21st century learning.
THE CONTRIBUTION OF LIBRARIANS IN SUPPORTING THE LEARNING PROCESS IN HIGHER EDUCATION THROUGH THE DEVELOPMENT OF SYNERGIC AND DYNAMIC SOCIAL INTERACTION

The research aims to describe the contribution of librarians in supporting the learning process in higher education. The research aims at careful scrutiny with analysis based on detailed comprehensive studies, dominating the main content, which is based on the contribution of librarians in supporting the learning process in higher education. Research has a scope of study, fundamental analysis based on the focus of the main topic, regarding the contribution of librarians to support the learning process in tertiary institutions. Research analysis requires critical thinking, in order to apply a concept to history in the past or is happening. Therefore it is very appropriate to use historical approach research, characterized by the dominance of a critical inquiry into the development of a thought or term. Primary information sources, namely the most important element, are used as primary data. Collection of historical approach data prioritizes the empowerment of library research through a variety of reading activities on the literature, subject to the contribution of librarians, information services, learning processes in higher education.    Research uses qualitative descriptive analysis, sourced from various theoretical reading material research, research and non-research. Research dominates the description, checking and evaluative of factual facts in order to produce solutions to the problems that arise in the phenomenon of the role of librarians supporting the learning process in higher education. For the sake of validity of the analysis, content analysis is needed, useful in analyzing the meaning of the most important concepts, namely the contribution of librarians to support the success of the learning process. Observation of activities in the library, empowered to construct the theory. The use of comparative analysis is useful in making comparisons before and after the development of libraries in supporting the vision and mission of higher education to reach World Class University. The results showed that librarians have a very large contribution and play an active role in supporting the learning process in higher education.
Analysis of Innovative Activities Development at the Federal Universities of the Russian Federation

In this article, the authors present an analysis of innovative activities by the federal universities of the Russian Federation, their impact on economic development, both at the federal and the regional level.The innovations as part of the university activities are viewed as a process, where a new product, which is obtained as a result of scientific research conducted by a university, can be commoditized.Each of the universities we studied have their own competitive advantages in this or that area, which are explained by specific features of their innovative activities.However, not all of them meet the expectations of a society, mainly due to the short period of their existence.It is worth mentioning that this article explores the key areas of technical and technological innovations; nonetheless, each university also pays considerable attention to social, as well as organizational and management innovations.
PENGARUH STRATEGI ROUTE PLANNING TERHADAP KINERJA MARKETING PADA PT RASA PRIMA SELARAS

The use of a Route Planning (SRP) strategy information system can support marketing performance improvement at PT. Rasa Prima Selaras. Because of this the researcher wants to test the extent of the influence of the Route Planning Strategy (SRP) on Marketing Performance and how much influence the Route Planning Strategy (SRP) has on marketing performance. The method in this research is to use the method through research activities. In research researchers used survey research with a quantitative approach. The population in this study is an outlet that is domiciled in the city of Muara Bungo, as many as 103 outlets. From the population, the sampling technique used is Totaly Sampling. Totaly Sampling is a sampling procedure in which the entire population is taken and made a respondent or sample. From the sampling technique, it was found that the samples in this study were 103 people. The use of Information Systems (X) has a significant effect on Marketing Performance (Y). Can be seen from the significant value of tcount ≥ ttable t, which is 2.830&gt; 1.937 or the significance value (0.006) &lt;α = (0.05), meaning that H is accepted. Where this shows the Use of Information Systems Strategies Route Planning (X) affect the Marketing Performance (Y) at PT. Rasa Prima Selaras.
Information Flow for Web Security and Privacy

The use of libraries is prevalent in modern web development. But how to ensure sensitive data is not being leaked through these libraries? This is the first challenge this thesis aims to solve. We propose the use of information-flow control by developing a principled approach to allow information-flow tracking in libraries, even if the libraries are written in a language not supporting information-flow control. The approach allows library functions to have unlabel and relabel models that explain how values are unlabeled and relabeled when marshaled between the labeled program and the unlabeled library. The approach handles primitive values and lists, records, higher-order functions, and references through the use of lazy marshaling. Web pages can combine benign properties of a user's browser to a fingerprint, which can identify the user. Fingerprinting can be intrusive and often happens without the user's consent. The second challenge this thesis aims to solve is to bridge the gap between the principled approach of handling libraries, to practical use in the information-flow aware JavaScript interpreter JSFlow. We extend JSFlow to handle libraries and be deployed in a browser, enabling information-flow tracking on web pages to detect fingerprinting. Modern browsers allow for browser modifications through browser extensions. These extensions can be intrusive by, e.g., blocking content or modifying the DOM, and it can be in the interest of web pages to detect which extensions are installed in the browser. The third challenge this thesis aims to solve is finding which browser extensions are executing in a user's browser, and investigate how the installed browser extensions can be used to decrease the privacy of users. We do this by conducting several large-scale studies and show that due to added security by browser vendors, a web page may uniquely identify a user based on the installed browser extension alone. It is popular to use filter lists to block unwanted content such as ads and tracking scripts on web pages. These filter lists are usually crowd-sourced and mainly focus on English speaking regions. Non-English speaking regions should use a supplementary filter list, but smaller linguistic regions may not have an up to date filter list. The fourth challenge this thesis aims to solve is how to automatically generate supplementary filter lists for regions which currently do not have an up to date filter list.
Guidelines for NMAS Applied to Calculemus-FLINT

Calculemus is a step-by-step method for normative analysis. FLINT is a language for the explicit interpretation of sources of norms. Calculemus-FLINT is developed for making interpretations of sources of norms that are machine readable and executable, but also comprehensible for natural persons without specific training. Since there is not a clear standard for guidelines of NMAS, we used the guidelines proposed by Boella, Pigozzi and Van der Torre in 2009 as a starting point. In this paper, we will assess Calculemus-FLINT using the guidelines for NMAS of Boella et al. and discuss future steps for the development of Calculemus-FLINT. Furthermore, we will make suggestions for an adjusted version of the guidelines for building NMAS.<br/>
LibGuides: Fake News and Information Literacy (IKBFU): Introduction

Content created by Victoria Mitchell, Knight Library, University of Oregon. Reused and adapted here with her kind permission.
LibGuides: Media Literacy (PetrSU): Home

LibGuide created by Dianna E. Sachs, Health and Human Services Librarian, Western Michigan University. Reused and adapted here with her kind permission.
Banking Deposits of Population. Characteristics in Romania

Starting with the classical theories regarding the economic growth and until now, the accumulation of capital has been given an important role. Along with technological progress and specialization of the labour force, saving is considered a source of economic growth. This paper aims at analysing the savings of the population placed in bank deposits during the period between 2015 and 2019 in Romania. The study focuses on analysing the dynamics of deposit volume and virtually anyone who saves and then invests (in our case investments in bank deposits) expects to obtain an income, a certain yield, a reasonable return. Comparing the interest rates on bank deposits with the inflation rate but also with other interest rates, we want to determine how profitable these investments are for the population. This study examines whether the level of interests on bank deposits placed by individuals in Romania is attractive enough to stimulate savings, given that the country needs capital for development. &nbsp
IMPROVING THE STUDENT READING COMPREHENSION THORUGH QUANTUM TEACHING TECHNIQUE AT SECOND SEMESTER ISLAMIC STATE INSTITUTE

This research attempted to improve students reading comprehension by applying the quantum teaching technique. This research employed a classroom action research design, and it was carried out in two cycles. The data of study were student’s reading comprehensionn which were collected by means of a reading comprehension test. The student’s reading comprehension were categorized into five categories, namely: very high, high, moderate, low and very low levels of comprehension. The student’s participation was obtained through class observations during the reading classes. The observation data were calculated and categorized high, moderate, and low categories. The results show that the use of quantum teaching technique could increase the student’s reading comprehension. Students who fell into very high and high reading categories increased from 17 students (cycle one) to 21 (cycle two); the number of students who belonged to moderate and low categories also slightly decreased from 14 in cycle one to 12 in cycle two. There was two students who were in the very low reading comprehension category in cycle one, but none was in cycle two. Furthermore, the use of quantum teaching technique has also encouraged students to participate actively during the reading classes. The average level of the student’s participation in the reading class process was moderate. In short, the use of quantum teaching technique in reading classes could improve not only the students reading comprehension but also their participate in reading class activity.
The Effect of Discovery Learning Model Using Concept Map and Computer Animation on Student Learning Outcomes in Hydrocarbon Material

This study aims to determine the effect of discovery learning with concept maps and computer animation media on chemistry learning outcomes on the subject of hydrocarbons. The sample in this study was students of Mathematics Education semester 1 HKBP Nommensen Pematangsiantar University odd semester of the 2019/2020 school year. The instrument used in data collection is a validated test instrument. The data obtained were tested with a comparative study using the two-party t test. From the normalized gain data, a large increase in student learning outcomes by using discovery learning teaching with concept maps and computer animation media was 54% of the experimental class I and 70% of the experimental class II. The magnitude of the difference in the increase in student learning outcomes is 16%. Based on the results of hypothesis testing, obtained tcount> ttable is 5.56> 1.6671 at a significant level α = 0.05. This means that H0 is rejected and Ha is accepted, which states that there are significant differences in student learning outcomes by applying discovery learning using concept maps and computer animation on hydrocarbon material.
Specificity Prediction for Sentences in Press Releases

Specificity is an important factor to text analysis. While much research on sentence specificity experiments upon news, very little is known about press releases. Our study is devoted to specificit ...
LibGuides: Media Literacy (MRSU): Home

LibGuide created by Dianna E. Sachs, Health and Human Services Librarian, Western Michigan University. Reused and adapted here with her kind permission.
Design of an Educational Program Based on Knowledge Construction and its Effectiveness in Developing the Productive Habits of Mind Among Female University Students

The main objective of this research was to develop the productive habits of mind among the female university students, through developing an educational program based on knowledge construction.In order to answer the research questions, the descriptive research method was used to design the educational program, and develop the scale of productive habits of mind. .On the other hand, the semi-experimental method was followed to measure the effectiveness of the program.After verifying the validity of the research tools, an experiment was applied on (72) students representing the experimental and control groups with (36) students in each group.The research resulted in preparing a list of the productive habits of mind that are appropriate for the university students; and designing an educational program based on knowledge construction to assist the students to develop these habits.The research results revealed a statistical significant positive effect of the educational program on the students in the experimental group regarding the habits of thinking flexibly, thinking about thinking ,questioning and posing problems and applying past knowledge to new situations.On the other hand, the results showed no statistically significant positive effect of the educational program on developing the habits of creating, Imagining and Innovating and metacognition.The researchers recommend to get the benefit of the designed program and apply it in the university teaching to help the students develop the habits of mind needed for the university students, and raise the necessity of applying knowledge construction in the university teaching.
PENERAPAN K-MEANS DALAM PENGELOMPOKAN DATA POLIS ASURANSI KENDARAAN BERMOTOR DI PT JASARAHARJA PUTERA

Motor Vehicle Insurance Policy is one of the insurance products at PT Jasaraharja Putera, being an insurance company certainly has a lot of data that causes that will only take place and make a large pile of records for that can be used to obtain information as product development and can be used as a target to get company income. The concept of the method used in this study is the K-Means Clustering method, this method is the most common and simple, which has the ability to group large enough data to be more efficient which aims to create information or add and find information from the data held. In this study the data is used to group Motor Vehicle Insurance Policy data from 2017 to 2019 apply the RapidMiner application. The test results obtained in the last iteration for the first cluster are 15 data, the second cluster is 6 data, the third cluster is 1 data, and the fourth cluster is 3 data. Based on the results of research on sample data, it can be seen that public interest in insurance is needed to develop insurance product marketing in order to increase the company's tagit and increase company revenue.
A Research Review on the Global Refocusing on African Development: Challenges and Opportunities in 21stCentury

In recent years, there has been a series of supports by the developed world towards securing effective and efficient development in Africa. These support programmes have cut across various sectors, ranging from education, health and sociopolitical programmes initiated by the developed countries aimed at assisting Africa to measure up with in terms of developmental aspects with other continents. To this end, this research paper is a philosophical review that sought to centre on global refocusing on African development unveiling the challenges and opportunities faced by African continent in this 21st century. This paper maintained that the achievability of Africa’s developmental stride depends to a more significant extent on its political development. The discovered challenges include among others; bribery and corruption, bad governance, weak political institutions, and undemocratic values. These hurdles are hazardous, real and numerous but could be addressed through improvement and strengthening of governance and democracy. The significance of this research cannot be overemphasized as the issues raised in this paper could be beneficial to both policymakers and scholars alike as it will enable them to ascertain the problems and policy recommendations to avert the evils that befell the continent. Some African countries did well with regards to governance and combating corruption. However, major institutional reform is needed to achieve sustainable development across the continent. The researcher recommend that; Policies should be made towards strengthening economic analysis and management across Africa as it will to a great extent facilitate sustainable development and poverty reduction across African. This paper, therefore, will employ the analytic approach to examine the situations that stagnate African development and then make recommendations on how to surmount the problems.
Cyber-crime awareness: a comparative study of male and female B.Ed. trainees

This paper is based on the investigation conducted to study the effect of sex, area and caste on cyber-crime awareness of Male and Female B.Ed. Trainees of Navsari district in Gujarat state. The sample consisted of 360 Male and Female B.Ed. Trainees. The sample was selected in terms of Gender (male and female), Area (rural and urban) and Caste (OPEN, SEBC and ST-SC) in equal proportions, drawn randomly method. Cyber-crime awareness was measured by Cyber-crime Awareness Scale – Rajasekar (2011).  “t” test was used for analysis the data. There is significant difference between Cyber-crime Awareness of male and female B.Ed. Trainees. There is significant difference between Cyber-crime Awareness of rural and urban B.Ed. Trainees. There is significant difference between Cyber-crime Awareness of OPEN, SEBC and ST-SC B.Ed. Trainees.