Reviewerly/exHarmony huggingface dataset:
Dampak Pembelajaran Online di Tengah Pandemi Covid-19 Terhadap Proses Pembelajaran Metode Yanbu’a di Kelas 2 MI At-Taqwa Bondowoso

The purpose of this study was to identify and obtain information about the impact of the Covid-19 pandemic on the learning process of the Koran using the Yanbu'a DI method in grade 2 at MI At-Taqwa Bondowoso. The research used an exploratory case study method and the research approach used a qualitative case study method which was used to obtain information on the constraints and consequences of the COVID-19 pandemic on teaching and learning activities at MI At-Taqwa Bondowoso. Sample size is based on attainment of depth and richness of description. According to Guetterman, sample size is not a matter of representative opinion and views, but rather a matter of information wealth. The results of this study were that the researchers found several problems and obstacles experienced by students and class teachers in online teaching and learning activities, including: students were not active in depositing their reading results due to network constraints, no quota, students did not have communication tool or handpohne itself, the enthusiasm of students in learning begins to decline, therefore the goals and targets to be achieved by MI At-Taqwa Bondowoso are like their original ideals, that students are able to read the Koran properly and correctly, including in the form of letters, characteristics Characteristics of letters and proper fashohah experience many obstacles as a result of online learning.
Type-generic lambdas

For the lambda expressions that were introduced in N2734, we propose the addition of auto parameters that can be completed by the arguments (in a function call) or by the parameter types of target function pointer (in a conversion).
Analisis Penerapan Sistem Informasi Penggajian dan Pengupahan Dalam Peningkatan Kinerja Karyawan Pada Pt. Enwe Putra Perkasa

The application of payroll and wage accounting systems at PT. Enwe Putra Perkasa is a system carried out by the company to find out whether the payroll system is running well or not, by looking at related functions, related documents, related records and procedures for making payroll. The results showed a related function in the payroll accounting system in PT. Enwe Putra Perkasa is not fully in accordance with the related functions that have been explained in theory. Related documents in the payroll accounting system in PT. Enwe Putra Perkasa is good enough and almost in accordance with related documents that have been explained in theory. Notes relating to the accounting system of the payroll accounting system at PT. Enwe Putra Perkasa is not fully in accordance with the records used in the sales accounting system that have been explained in theory.
The Forgotten Open Access Challenge: What Happened to the Author Experience?

Publishers face multiple challenges due to the growth of Open Access publishing, and no one masters them all. Knowing how to prioritize these challenges and choosing the right approach and strategy to address them is not easy. Somehow, many still make the bold claim that they have it under control and forget that they placed the burden on the authors: paying publishing fees, ensuring everything is compliant with their funder’s and institution’s policies, and manually reporting data back in all directions. At ChronosHub,1 we embrace the complexities and believe in a collaborative approach to streamline the workflow. But what have we learned from working with publishers, institutions, funders, and directly with the authors? In order to make new research discoveries more accessible and to accelerate the research process, funders are increasingly adopting Open Access (OA) publishing policies for their funded research. Plan S will soon become a reality for many researchers, institutions, and publishers, and Open Science is quickly shaping academic publishing’s digital future by changing the current practices. To put it simply, the industry calls for clear communication of high-level information to everyone involved in the research publishing process. Authors and editors are overwhelmed by funder requirements, while funders have a hard time enforcing their policies and track the output of funding. At the same time, institutions struggle with the cost of OA, and publishers are looking for a streamlined workflow. How do we all take the first step to support researchers in the right direction, and how do […]
Study on the Architectural Projects of the Floating Structures for Housing and Leisure, along the Danube

Floating structures for housing and leisure, give people opportunities to live, work, and play on the surface of the water. If someone is fond of a relaxing atmosphere, romanticism, and living on the water, there are plenty of reasons to live on a floating home. Such projects aim at bringing people closer to the natural aquatic lifestyle, without any negative impact of the water body. Another main advantage is safety during floods being a necessity in some of the areas. Also, such houses can be integrated with beautiful landscapes and comfort conditions with minimum energy bills and a small carbon footprint. There are also disadvantages of living on the water, one of them being limited space for storage, the cost and inconvenience of heating in the wintertime, and maintenance and repair if required. Nevertheless, architects are constantly developing solutions to minimise recurring electricity and water costs, which can be reduced by using unconventional energy sources. The large level fluctuations of the Danube waters, which are sometimes up to 8 meters, brought an additional challenge to the architects. To solve it, they designed appropriate structures, to which the floating houses are attached one by one.
Perbandingan Metode ANN-PSO dan ANN-GA untuk Peningkatan Akurasi Prediksi Harga Emas Antam

Antam's gold price is more expensive than the price of gold used by more investors for long-term use. Sometimes the price of antam gold cannot be predicted at any time. Antam's rising gold prices were moved by many factors, sent in exchange rates of US dollars (USD). If the exchange rate of the US dollar (USD) decreases, the price of gold will rise and vice versa, if the value of the US dollar (USD) strengthens, the price of gold will increase. This condition makes it difficult for investors to predict the price of gold in the future. Backpropagation Artificial Neural Network (ANN) is known as one of the good methods in predicting. In this study an evaluation of the results of the price of gold using ANN with the help of PSO (Particle Swarm Optimization) and GA (Genetic Algorithm) optimization. PSO has many similarities with GA, which is an algorithm adopted from the process of supporting humans. The results of the study prove that PSO Optimization is able to provide an increase in optimizing the weights on the Neural Network by producing the best RMSE value, which is equal to 0.026, while GA optimization only produces a value of 0.09.
K-Means Clustering with Content Based Doctor Recommendation for Cancer

Recommendation Systems is the top requirements for many people and researchers for the need required by them with the proper suggestion with their personal indeed, sorting and suggesting doctor to the patient. Most of the rating prediction in recommendation systems are based on patient’s feedback with their information regarding their treatment. Patient’s preferences will be based on the historical behaviour of similar patients. The similarity between the patients is generally measured by the patient’s feedback with the information about the doctor with the treatment methods with their success rate. This paper presents a new method of predicting Top Ranked Doctor’s in recommendation systems. The proposed Recommendation system starts by identifying the similar doctor based on the patients’ health requirements and cluster them using K-Means Efficient Clustering. Our proposed K-Means Clustering with Content Based Doctor Recommendation for Cancer (KMC-CBD) helps users to find an optimal solution. The core component of KMC-CBD Recommended system suggests patients with top recommended doctors similar to the other patients who already treated with that doctor and supports the choice of the doctor and the hospital for the patient requirements and their health condition. The recommendation System first computes K-Means Clustering is an unsupervised learning among Doctors according to their profile and list the Doctors according to their Medical profile. Then the Content based doctor recommendation System generates a Top rated list of doctors for the given patient profile by exploiting health data shared by the crowd internet community. Patients can find the most similar patients, so that they can analyze how they are treated for the similar diseases, and they can send and receive suggestions to solve their health issues. In order to the improve Recommendation system efficiency, the patient can express their health information by a natural-language sentence. The Recommendation system analyze and identifies the most relevant medical area for that specific case and uses this information for the recommendation task. Provided by users as well as the recommended system to suggest the right doctors for a specific health problem. Our proposed system is implemented in Python with necessary functions and dataset.
GRAMMATICAL ERROR OF SPEECH BY STUDENTS IN BILINGUAL PROGRAM OF MA’HAD AL JAMI’AH UIN NORTH SUMATRA

This study investigates the types of grammatical errors produced by Arabic learners in English. Bilingual program is a condition that the students speak both English and Arabic languages in their daily communication. The researcher used descriptive qualitative research in conducting this study. The data are bilingual students’ utterances consisting of grammatical errors in daily communication. The utterances consisted of words, phrases, clauses and sentences. The prior aim in this research is to describe the types of grammatical errors since there are two kinds of grammatical errors namely morphological errors and syntactical errors.Keywords: Grammatical Error, Bilingualism, English, Arabic language, Speech
Adaptation of Combinatorial Encoding Scheme to Index Compression

In this paper, an entropy coding technique, namely, combinatorial encoding, is investigated in the context of document indexing as an alternative compression scheme to the conventional gap encoding methods. To this purpose, a finite state transducer is designed to reduce the complexity of calculating the lexicographic rank of the encoded bitstream, and a component that will efficiently calculate the binomial coefficient for large numbers is developed. The encoding speed of the implemented solid and multi-block indexing schemes are empirically evaluated through varying term frequencies on randomly created bit strings. The method's ability of compressing a memoryless source to its entropy limit, yielding an on-the-fly indexing scheme, and conforming to document reordering by means of the transducer have been designated as its most prominent aspects.
LibGuides: University Libraries Undergraduate Research Award: Hall of Fame

Information about the University Libraries undergraduate research award Information about past winners
Designing A Twitter Sentiment Analysis and Recommender System Using Machine Learning Techniques

Social media provides a platform where people from all around the globe are free to sharetheir views about a common topic. Twitter is one of the trending social media platform which offers aneffective way to analyse different perspectives and opinions of its users using different sentiment analysistechniques. In this paper, we will discuss an application of sentiment analysis techniques on the dynamicdataset of twitter as well as a pre-existing dataset from Kaggle. We segregate tweets as positive, negativeand neutral and also plot the graph of the places from where the tweets have been made on an Html page.In the proposed system, a recommendation that once can follow and block has also been made based onthe number of negative tweets made by them. We realized that finding more negative tweets done by thesame person is significantly low which clearly shows the limitations of the current work.
APLIKASI PENDATAAN LOKASI BANK, ATM, DAN SPBU DI KOTA PADANG BERBASIS ANDROID

Padang city is the capital of West Sumatera province which is developing in various fields, one of them is banking field. The amount of ATM distribution makes people difficult to memorize and know where the ATM location. Likewise with gas stations, many of the community, immigrants and tourists who do not know the location of the city Padang SPBU in the city of Padang. Through the design and development of location-based mobile data collection applications android this can facilitate the community, immigrants and tourists in finding information on the location of banks, ATMs and gas stations in the city of Padang. The method used is the method of data collection and survey analysis, while the design method using SDLC method with waterfall model. This application uses haversine formula as a calculation method that is considered suitable for nearest location search because in the calculation process to take into account the curvature of the earth so it can produce more accurate results. With this application android phone users can find out the location of banks, ATMs and gas stations that are closest to where they are located.
New Results in End-to-end Image and Video Compression by Deep Learning

Expanding ubiquity of high-resolution digital video over the Internet calls for better compression methods to enable streaming with higher compression efficiency and lower latency. Recently, important gains have been achieved in learned image compression by using end-to-end learned models. However, these improvements haven't been fully leveraged in video compression. This paper aims to improve upon work proposed by Lu et al. in CVPR 2019, which has been claimed to outperform conventional video codecs in terms of PSNR and provide some implementation details that are absent in the original paper. Ultimately, we show that modeling latent symbols by Laplacian distribution outperforms the Gaussian assumption used in the original work and also demonstrate in a repeatable fashion that our learned model is superior to x264 video codec in terms of PSNR over a range of compression rates measured by bit-per-pixel.
TANTANGAN PELAKU PENERBITAN DI ERA INDUSTRI 4.0: SEBUAH TINJAUAN

The era of industry 4.0 is a digital revolution characterized by the fusion or collaboration between cyber and automation technology. Not only in production processes, but also in almost all parts of economic value chains thus new business model based on digital technology to achieve high efficiency and better quality is created. As a part of creative industry, publishing faces the development and demand to change brought by industry 4.0, from business model, product and services innovation, to marketing and target users. This paper explains the development, challenge, opportunity, and effort related profession disruption faced by publishing professionals in industry 4.0 era. The review in this paper was done by conducting literature and empirical studies. The result shows that publishing professionals must strive to transform mindset and work process in publishing world. Those transformation can be achieved by competency improvement through increasing knowledge in publishing management, building coopetition between fellow publishing professionals, and consistent orientation for users’ needs. It is important for publishing professionals to view this phenomenon as a challenge that brings many possibilities for the development towards publishing 4.0   Keywords : Publishing professionals, Disruption, Publishing 4.0, Transformation
A Study on the Teaching Mode of Business English in Colleges and Universities Based on Innovation and Entrepreneurship———Taking Business English Major as an Example

Under the tide of entrepreneurship, mass innovation, the Business English major in colleges and universities should keep pace with the times and shall be innovation and entrepreneurship-oriented. It is necessary to improve the proportion of practical teaching of innovation and entrepreneurship, and pay attention to cultivating students’professional ability and accomplishment in professional teaching and innovative entrepreneurship teaching, so as to meet the needs of social development for business English professionals. This paper focuses on the problems related to business English teaching in colleges and universities based on innovation and entrepreneurship orientation.
JDD @ FinCausal 2020, Task 2: Financial Document Causality Detection

This paper describes the approach we built for the Financial Document Causality Detection Shared Task (FinCausal-2020) Task 2: Cause and Effect Detection. Our approach is based on a multi-class classifier using BiLSTM with Graph Convolutional Neural Network (GCN) trained by minimizing the binary cross entropy loss. In our approach, we have not used any extra data source apart from combining the trial and practice dataset. We achieve weighted F1 score to 75.61 percent and are ranked at 7-th place.
Attention Model for Extracting Saliency Map in Driving Videos

Visual perception is the most important input for driving decisions. In this study a novel attention model presented for attending salient features in visual scene, that can be used for autonomous driving or advanced driver assistance systems. Proposed attention model constructs a holistic approach for driving task. The output of the model can be used as input to driving decision systems. Proposed model is a deep neural network model that inputs extracted features to an RNN model with attention mechanism. Proposed model trained and evaluated on state of the art driving attention datasets BDD-A, DR(eye)VE and general saliency dataset CAT2000.
INTERNET OF THINGS AS A COMPLEMENT TO INCREASE SAFETY

Safety evaluations made in the city Helsingborg indicate a decreased risk of being exposed to crime, but an increased feeling of unsafe. Damage in the form of scribbling (graffiti) is one of several indicators contributing to feeling unsafe. In this paper we investigate whether the use of Internet­-of-­things technology, where a sensor monitors a walking and cycling tunnel, makes it possible to reduce scribbling. The study shows a number of interesting results. When the sensor was in­ stalled, the public showed a great and positive interest. A short time after installation, the sensor was subjected to a qua­lified attack where heavy shocks were followed by an initiated way to determine if the sensor was damaged. A setting and tuning phase was used to empirically test different settings of the sensor to detect scribbling behavior. However, it became evident during the approximately 6­month long measurement period that we received many false alarms, which were, for example, that people took shelter in the tunnel in the rain and stood or walked slowly when using their mobile phone. Du­ ring the measurement period, two scribbles occurred where the sensor detected one of them. We observe that the amount of scribbling has decreased significantly. The number of error reports on scribbling dropped from an average of 3.33 per month before the sensor was in place to 0.75 cases per month after the sensor was in place. (Less)
Pengaruh Perhatian Orang Tua Terhadap Motivasi Belajar Siswa Kelas IV SDN Sumberejo 5 Malang

Abstract: Learning at SDN 3 Tambakasri is currently more motivated by teaching materials from the government, namely the K13 teacher book and also the K13 student book. So it is necessary to have teaching materials in the form of an encyclopedia based on children's reading literacy on alternative energy materials and their use in accordance with the current situation and conditions. Where the teaching materials used are currently not detailed and complete, so that students feel bored and lack enthusiasm and they lack reading literacy. The aim of this research is to develop a valid and practical encyclopedia based on reading literacy for elementary school children. The development research method uses the 4D model which consists of 4 stages, namely: the define stage, the design stage, the develop stage, the dissemination stage. The data were analyzed by using quantitative and qualitative data analysis. The results of this study indicate that the children's reading literacy-based encyclopedia is declared valid by experts with details of material experts having very feasible criteria with a percentage of 85% (Eligible), Media validation conducted by media experts has very feasible criteria with a percentage of 71.875% (Eligible), Media validation carried out by linguists has very feasible criteria with a percentage of 91%. In addition, the results of the questionnaire conducted for trials at SDN 3 Addasri to grade 4 students showed a percentage of 79.72% and 90.38% of practitioners (feasible). So that the encyclopedia teaching materials based on children's reading literacy are valid and practical in elementary school science learning.
Mathematical Solution of Kronig-Penney Model Determinant

Kronig Penny model is an excellent approximation of crystal potential in the band theory of solids.The only problem students face in this topic is the solving of determinant.Of course, it was solved by originators after tedious calculations and they dropped it in publications.The same route is followed in earlier works.But a systematic way of solving it may develop an interest in students and might be helpful in scholarly article.In this paper it is solved in an appealing way never found elsewhere in literature, rather it was left as declared much tedious.This paper is endowed with full mathematical solution.
Improving the Pipeline

There is currently a shortage of cybersecurity professionals worldwide. This paper presents an after-school program for high school students to explore cybersecurity topics and careers. The paper discusses the content of the course as well as the results that have been seen to date. A link to an online repository of program materials will be shared with the audience. This work effort is the result of the NSF funded grant Improving the Pipeline: After-School Model for Preparing Information Assurance and Cyber Defense Professionals (Grant No. 1623525).
Early Reading through Storytelling Activities

Storytelling has been a part of children’s life. They loved being told as well as telling a story. Being told a story made them see what has been read, and telling a story made them talk as they spoke it out. As the children learn a language, story is one effective way for them to learn a language. This study is aimed to find out to what extent storytelling could help young children with their early reading comprehension in terms of story-retell. One class in one national plus school has been the setting of the study with 13 students as the subjects. A mix method was implemented through a classroom action research design. This study came up with a significant result that storytelling activities have been effective ways to increase young children’s retell fluency, both in content and fluency. The help of pictures, cue cards, and flashcards has been very efficient in helping young children to have a better comprehension in their early reading. These teaching aids had also been able to motivate them to be more active and engaged during the class.