Reviewerly/exHarmony huggingface dataset:
PENGARUH PENERAPAN PROJECT BASED LEARNING MELALUI GOOGLE CLASSROOM TERHADAP HASIL BELAJAR SISWA PADA MATERI LAJU REAKSI

The application of 2013 curriculum which has not been implemented perfectly become a problem in the learning process. This research aimed at knowing the effect of implementing Project Based Learning model with Google Classroom media toward student learning achievement on Chemistry subject, especially Reaction Rate lesson. It was an quasi experiment research with posttest only control group design. The eleventh-grade students of MIA were the population of this research. Random sampling was used in this research, and it was obtained the eleventh-grade students of MIA 1 (experimental group) and MIA 2 (control group). Interview, test, observation, and documentation were the techniques of collecting the data. Analyzing the data was using Independent t-test. Based on the results of Independent t-test with α=0.05, it was obtained the cognitive score of sig. (2 tailed) 0.046 (H0 was rejected). It showed that Project Based Learning model with Google Classroom media facilitated better learning achievement than the model without the use of Google Classroom media.
Application of Matrices in Flipping the Image Using Python Program

Matrices have various applications, one of them being rotating or flipping a picture.A flipped image is required while printing images on a surface, designing circuits and taking selfies in a mobile phone.Otherwise, the original image will remain as a mirror image.Here, we have used a simple python program which corrects the mirror image with the help of matrix row operation and transpose of a matrix.
Standard Operating Procedure Preservasi Koleksi di Perpustakaan (Studi Kasus di Perpustakaan Universitas Sarjanawiyata Tamansiswa Yogyakarta)

Implementation of information retrieval activities in a library is inseparable from the work role of the librarian, for that in a library there needs to be a written policy regarding standard operating procedures for preservation of collections in the library.This research traced information based on standard library procedures regarding collection development policies based on legal standards or preservation SOP policies, with qualitative research methods with the Snowball Sampling technique.The results of this study indicate that in the UST library has not implemented standard operating procedures in preservation collection activities, this is reflected in the process of preservation activities do not have a preservation SOP that is based on the legal basis for preservation of the collection as stated in the SOP document control contained in SOP No. 001.
Aids in physics: Design and development

Electricity is found to be a difficult topic to learn due to its abstract concepts. Research showed that games based learning using dioramas can help students to interest and enhance students’ understanding in learning abstract Physics topics. As a result, PhyKER Games was developed in order to assist students in the learning of the Electricity circuit topic. ADDIE model (analysis, design, development, implementation and evaluation) as instructional design and develope of PhyKER Games. Dioramas were added in PhyKER Games to depict real scenes. The information delivery and the flow of content follow the ADDIE phases theory. It is hoped that the PhyKER Games would be able to assist students in the learning of Electricity circuit terms of concept understanding and motivation level.
The Strategic Potential of Microcredit Mechanisms and Social Business for the Growth of Welfare of the Population of Kyrgyzstan

The purpose of this article was to analyze and comprehend the strategic role of microcredit and social business in reducing poverty. This article shows some of the socio-environmental and economic consequences of poverty that are significant from the point of view of sustainable development of the region and addresses the effective use of microcredit and social business in the context of reducing poverty. The article contains an analysis of the mechanisms of poverty reduction tested by world practice and specifics of using this accumulated experience in Kyrgyzstan. Entrepreneurship can act as an alternative way for the socio-economic activity of the population and a means of reducing the poverty level of the population.
MOBILE PERFORMANCE SUPPORT SYSTEM FOR TEACHERS AND PARENTS TEACHING FIRST GRADERS TO READ

Teaching to read is a very complex task.There are two rival strategies, and while one of them is effective according to an extensive empirical evidence, many teachers and parents use the wrong strategy or an inefficient mix of them.In this paper we use an app that supports teachers in measuring students' progress and in communicating learning strategies with parents.It also supports parents to share their strategies to teach their children at home, and supports educational administrators to track students learning, in each one of the curriculum units, at each school, district and geographical region.In a semester the app was voluntarily adopted by 1,235 schools that tracked the progress of 30,158 students.We found a very rapid adoption of the app, a surprisingly big imbalance between the intended and implemented curriculum, a much lower student performance in writing than in reading and oral communication, and a strikingly great participation and enthusiasm of parents in creating videos to share them with other parents where they show playful strategies to teach reading to their kids.
Sensorless dual axis solar tracker using improved sun position algorithm

This paper presents development of a prototype sensorless dual axis solar tracker for maximum extraction of solar energy. To prove the concept and evaluate the proposed algorithm, a low cost widely availabe materials were used which was programmed based on Arduino microcontroller. The porposed algorithm works based on two search methods namely the global search that approximates the best point location in a region, and local search that further determines the actual sun’s position. Experimental results showed that the proposed algorithm gives better performance compared to the existing sun position algorithm (SPA) - based method as well as the fixed panel system. In terms of total output power, the proposed algorithm gives 17.96% more efficient than the fixed system and 6.38% better than the SPA-based system. Furthermore, the percentage error of the experimental measured angle to the actual sun azimuth angle was relatively minimal (less than 3%) during clear day operation. The system was proven to be effective in tracking the sun for improved energy production of solar PV panels and the proposed algorithm also can be used for designing the tracker with larger size of solar PV systems.
Challenges in measuring partner dancing skills via wearable accelerometers

Social partner dancing is a fun but challenging activity requiring different motion related skills. Common criteria used by professionals to assess the quality of this type of dancing fall in the categories of timing, technique and teamwork (often referred to as ``the 3 Ts'') and variety of motion ({\em i.e.} ``moves''). We focus on the teamwork and variety skills for practitioners of a type of Swing dancing called Balboa. Our dataset consists of the wearable accelerometer data collected from the participants to 3 different Balboa social dance contests. Panels of professional dancers judged the contests. Later, some of those professional dancers evaluated the skills of each participant by watching video recordings of the contests. We propose four novel measures for teamwork and motion variety and we evaluate them versus the expert assessments and also activity based labels. Our preliminary results show that the measures can be useful for activity recognition and somehow useful for teamwork assessment.
A Study on the Attitude of the Secondary School Teachers towards the Continuous Professional Development in District Lahore

The study was performed to investigate teachers' attitude towards continuous professional development and to evaluate teachers' performance after continuous professional development.The study was delimited to Lahore district.All public school teachers teaching secondary classes were the population of the study.One hundred and forty four secondary school teachers from 22 secondary schools in three towns of City Lahore were selected on random basis.The study was descriptive and survey technique was adopted for data collection and evaluation was done on data analysis.The results indicated that continuous professional development had positive effects on the attitude of secondary school teachers.Continuous professional development improves performance of the secondary school teachers.Continuous professional development training programs may be regularly arranged for uplifting the teaching and learning process.
Development of a reconstruction quality metric for optical three-dimensional measurement systems in use for hot-state measurement object

Optical three-dimensional (3-D) geometry measurements are state of the art when it comes to contactless quality control and maintenance of the shape of technical components that exclude tactile measurements due to filigree or internal structures. Optical inspection methods are also characterized by a fast and high-resolution 3-D inspection of complex geometries. And due to their noncontact principle, they can carry out measurements in places that would otherwise not be accessible due to harsh environmental conditions or specimens such as hot forged parts. However, there are currently no methods to estimate the reconstruction quality for the optical 3-D geometry measurements of hot objects. The mainly used geometric measurement standards cannot be used for the characterization of hot measurements since the calibrated geometrical values are not transferable to high temperatures. For the development of such a metric, we present the fundamentals of the concepts and algorithms for an estimation of the reconstruction quality are presented and evaluated using a two-dimensional simulation model. The generated findings were applied to the 3-D geometry measurement of a hot object in a laboratory environment. The results are compared with general state-of-the-art reconstruction quality metrics.
Effectiveness of Victim Support Services: A Study on Victim Support Center in Dhaka

Crime is deemed as an important strategic social problem in Bangladesh.Every day, large number of people, particularly women and children, of our country are becoming victims of various damned crimes including domestic violence, trafficking, acid burn, sexual harassment and rape.In this context, the present research focuses on the existing services and aids of victim support center in Bangladesh.This study based on in-depth interviews (12 case studies) from the victims and Key Informant Interview (5 KII) have been analyzed as enlisted in Victim Support Center (VSC) guided by Dhaka Metropolitan Police (DMP).This study used Thematic analysis and shows the effectiveness of victim support services includes victim's counseling, medical assistance, physical and financial supports.In our country the present system emphasis has been placed on the reduction of crime on offender-based strategies.Thus, contrary to the high crime rate and number of victims, very few services are available to the victims of crime and very little attention paid to victim's services.Although compulsory, the necessity of providing professional support services to the victims of crime is relatively new in Bangladesh.Victim Support Centre (VSC) is providing services and aids for the protection of the victims of crime.The victim support service will continue to fight for victim support, victims' rights, and legislation to further assist victims.Finally, this research recommends to take necessary measures for ensuring effective victim support service in Bangladesh.
Discursive Strategies and Speech Acts in Political Discourse of Najib and Modi

Election campaigns are constantly regarded as a persuasive campaign to convince the nation to vote for the leader of a country. Being said such, this study investigates the discourse of twitter of two political premiers in Asia: Former Prime Minister of Malaysia, Najib Tun Razak (henceforth, Najib) and Prime Minister Narendra Modi (henceforth, Modi), in the aspects of discursive strategies and speech acts during election campaigns. The discourse of Najib and Modi are selected due to their active participation on Twitter throughout election campaigns. The data were collected over 3 months throughout the national elections of both the countries, which were from February to April 2013 in Malaysia and January to March 2014 in India. This qualitative study employs Wodak’s discursive strategies to analyze the lexical choices utilized in the election tweets and Searle’s speech act taxonomy to analyze the speech acts used. The presence of two major speech acts was highlighted during the elections: commissives and directives. These two speech acts collaborated under the hood of discursive strategies of predication and perspectivation that empowered Najib and Modi to establish a strong contact with citizens while creating a sense of integrity and oneness. This study is significant as it creates political and language awareness to citizens by denoting how political figures establish power through mutual consent with citizens using Twitter. Furthermore, this study enlightens citizens on how the 140-character tool can influence the political decisionmaking of a community.
Evaluation of Probabilistic Transformations for Evidential Data Association

Data association is one of the main tasks to achieve in perception applications. Its aim is to match the sensor detections to the known objects. To treat such issue, recent research focus on the evidential approach using belief functions, which are interpreted as an extension of the probabilistic model for reasoning about uncertainty. The data fusion process begins by quantifying sensor data by belief masses. Thereafter, these masses are combined in order to provide more accurate information. Finally, a probabilistic approximation of these combined masses is done to make-decision on associations. Several probabilistic transformations have been proposed in the literature. However, to the best of our knowledge, these transformations have been evaluated only on simulated examples. For this reason, the objective of this paper is to benchmark most of interesting probabilistic transformations on real-data in order to evaluate their performances for the autonomous vehicle perception problematic.
Multi-Stream Networks and Ground Truth Generation for Crowd Counting

Crowd scene analysis has received a lot of attention recently due to a wide variety of applications, e.g., forensic science, urban planning, surveillance and security. In this context, a challenging task is known as crowd counting [1–6], whose main purpose is to estimate the number of people present in a single image. A multi-stream convolutional neural network is developed and evaluated in this paper, which receives an image as input and produces a density map that represents the spatial distribution of people in an end-to-end fashion. In order to address complex crowd counting issues, such as extremely unconstrained scale and perspective changes, the network architecture utilizes receptive fields with different size filters for each stream. In addition, we investigate the influence of the two most common fashions on the generation of ground truths and propose a hybrid method based on tiny face detection and scale interpolation. Experiments conducted on two challenging datasets, UCF-CC-50 and ShanghaiTech, demonstrate that the use of our ground truth generation methods achieves superior results.
Understanding Logical Reasoning Through Computer Systems

This academic research aims to expand the understanding of logical reasoning in computer systems.As applications innovate over time, modern technological innovations have created computer software which makes it possible to carry out day-to-day chores with a click of a button.Being in a computer engineering field, it is vital to obtain a logical sense of reasoning to be resourceful and establish technological solutions.Through innovation and advancements in technology, application developers have continued to lend an extended hand of ease into progression.This hand of ease is marked through applications that offer convenience.The components to obtain a logical application are the sensor, rough set theories, spatial images, and artificial intelligence.
A group target tracking algorithm based on topology

Abstract For dense individual targets, their close distances may cause gates overlap, which impairs the tracking performance. To solve this problem, this paper proposes a group target tracking algorithm based on topology. Firstly, the targets are grouped based on their positions and velocities. Note that group targets have more stable tracks compared with individual targets. Then, for the targets in the group, data association based on topology for dense individual targets is achieved, considering relative positions of targets are stable. Finally, the simulation experiments are conducted to evaluate the proposed algorithm. The simulation results show that the group target tracking algorithm based on topology improves the association performance compared with the traditional Hungarian algorithm.
Ethical Use of Mobile Technology in the Academic Environment

Mobile technologies are becoming more and more accepted and used as pedagogical tools in higher education with multiple valences on teacher professional learning. The main aim of this research is to investigate the attitudes of university teachers towards ethical use of mobile technologies. There was designed a quantitative research methodology based on the use of a questionnaire. 104 teachers from universities in the north-eastern part of Romania participated in the study. The results of this research highlight university teachers’ positive attitudes towards the use of mobile technologies in higher education. The ethical issues of using mobile technology identified at the level of teachers’ perceptions are software piracy, inequality in student access to mobile technologies, retrieving information without reference to sources and plagiarism. The research results have implications on the educational process from higher education, especially for integrating mobile technologies and their ethical use.
Research on Retrieval Ranking Based on Deep Reinforcement Learning

Retrieval ranking technology is the core technology for evaluating information retrieval results. The advantages and disadvantages of retrieval ranking algorithms directly affect the retrieval effect of the system. The traditional retrieval ranking algorithm treats each ranking decision step independently. Moreover, the traditional retrieval ranking algorithm does not consider personalized retrieval ranking for different types of users. The recommendation algorithm based on deep reinforcement learning has made a lot of research on this problem, and it is a new attempt to apply the idea of recommendation algorithm in the retrieval ranking scene. In this paper, the related algorithms of recommendation and retrieval ranking algorithms based on deep reinforcement learning are reviewed in recent years. By considering the ranking process as the Markov decision process, using reinforcement learning to solve the problem of correlation between decision-making steps, an interactive retrieval model is constructed. Interactive retrieval can guide users to define their own needs, by introducing a personalized user simulator to simulate different types of environments, and using reinforcement learning to train personalized retrieval goals. Combining the retrieval rank with the recommendation algorithm will improve the retrieval effect of the user essentially.
SINTESIS PERMUKAAN KACA HIDROFOBIK MELALUI KOMBINASI TiO2/ASAM STEARAT UNTUK APLIKASI MATERIAL SELF-CLEANING

The surface of ultrahydrophobic glass has been successfully prepared using the combination of TiO2 and stearic acid. TiO2 was used to increase the surface roughness, while stearing acid was a surface modifier. The peroxo sol-gel method has been used to synthesize TiO2 precursors on the glass layer followed by modification of stearic acid. The maximal water contact angle of 141o has been obtained for the composition of 0.4 grams of stearic acid and 20 mL of ethanol (NKTS-2%). AFM analysis showed the roughness of NKTS-2% is 4,15 nm, which was greater than the pure glass. FTIR analysis also showed vibration of C=O (carbonyl) at 1697cm-1 indicating the chemical interaction between TiO2 and stearic acid. EDX spectrum analysis of TiO2/stearic acid (TiO2/C18H36O2) showed the existence of titanium, oxygen, and carbon. The optimum sample (NKTS-2%) showed a good transparency and self-cleaning properties compared to pure glass
Aspect Oriented Concept Drift Detection in High Dimensional Data Streams

The drift of the concept is the critical goal of data mining over data transmission, which often deotes the diversity between the pair of sequentially transmitted data tuples.The drift of the concept can be incremental, which increases gradually in the face of data transmission.The other dimension of the drift concept is sudden drift that manifests itself considerably between the pair of tuples of transactions transmitted in sequence.Contemporary Concept drift identification approaches are primarily intended to deal with incremental or sudden drift.In this document, aspect-oriented concept drift detection (AOCDD) is projected into high-dimension data streams.To report concept drift, the AOCDD represents the diversity of data projection for the aspects that are used to frame the record structure in the target data streams.The experiments carried out the reference data sets as flows, which show the importance and scalability of the AOCDD for the detection of drift.The performance advantage of the proposal is scaled by comparing the experimental results with another contemporary model in recent literature.
Financial Development and Economic Growth: New Evidence

Financial systems around the world have undergone considerable development. This paper analyzes the effect of financial development on economic growth. It replicates the estimation of Beck et al. (2000), one of the pioneering research papers in this field. Then, it tests the sensibility of the results by expanding the sample of countries (99) and the period (1961–2010). This study contributes to the literature by analyzing differentiated effects when a country’s economic conditions are incorporated. The results show that the positive impact of financial development on economic growth found by Beck et al. (2000) becomes non-significant if financial crises and macroeconomic instability periods are taken into account. However, if income per capita level is considered, the impact becomes positive and significant in high-income countries and decreases in low-income per capita countries. This impact is influenced by each country’s level of education, level of financial deepening, and average inflation rate over the last ten years.
Vehicle re-identification using relative entropy representation and gated recurrent unit networks

Vehicle Re-Identification is a prevailing subject in the field of computer vision technologies. Major problem in vehicle re-id is re identifying the vehicle from different viewpoints with occlusion and low illumination. In this work, we have proposed a deep-learning framework which effectively processes the latent representation of the vehicle image instances. The key to our framework is GRUs, which is used to determine the relationship between the vehicle image instances over a period of time, without compromising the computational cost, which is also used to encode the data.