Reviewerly/exHarmony huggingface dataset:
Estimation of Vehicular Journey Time Distributions by Bayesian Data Fusion with General Mixture Model

This paper presents a Bayesian data fusion framework for estimating journey time distributions that uses a mixture distribution model to classify feeding data into different traffic states. Different from most studies, the proposed framework uses general statistical models to estimate the vehicular journey time variability. Feeding data collected from multiple data sources are classified based on the associated traffic conditions, and the corresponding estimation biases of the individual data sources are determined using a Gaussian distribution model. The proposed framework is implemented and tested on a real Hong Kong highway corridor with actual data collected from the field. The findings of the case study show significant improvement in the journey time estimations of the proposed method compared with the individual measurements. The results also highlight the benefit of incorporating a traffic state classifier in the fusion framework. This study contributes to the development of reliability-based intelligent transportation systems based on advanced traffic data analytics.
Optimal-classical and quantum-enhanced sensing of a small transverse beam displacement

We evaluate the optimal spatial mode to excite a laser, for estimating a small transverse beam displacement. We also present a quantum-enhanced multi-spatial-mode transmitter, and a path to deriving the optimal multi-mode-entangled squeezed light probe.
Spatially Transformed Capsule Networks

Capsule Networks provide a more life-like method of image classification compared to traditional convolutional neural networks (CNNs), mimicking the hierarchical method of image processing conducted in the human brain. They are known to be more resistant to affine transformations and are able to recognize im-ages transformed by small amounts, but have difficulty generalizing to steeper transformations in practice. In this study, we explored modifications to the original Capsule Network architecture that inject transforma-tions into the model via latent code manipulation, inspired by Spatial Transformation Network Modules in CNNs. Our Spatially Transformed Capsule Networks model (STr-CapsNet) achieved increased performance over the original CapsNet model on both the orig-inal MNIST dataset (98.91% to 99.12%), as well as large rotational transformations to the MNIST dataset (97.44% to 97.91% on a -20 to 20-degree random rotational transformation; 89.47% to 90.81% with -40 to 40 degrees; 75.2% to 76.63% with -60 to 60 degrees; and 63.02% to 64.18% with -80 to 80 degrees). Furthermore, we introduce a novel static routing algorithm that re-moves redundancies from the original dynamic routing algorithm, reducing the routing-by-agreement portion of the training time by 72.2%.
GFI-Net: Global Feature Interaction Network for Monocular Depth Estimation

Monocular depth estimation is one of the most important tasks in the field of intelligent perception. However, there are still several problems, such as insufficient estimation accuracy, inaccurate localization of details and depth discontinuity in broad planes at long distances. To solve these problems, we propose the Global Feature Interaction Network (GFI-Net), which aims to utilize geometric features, such as object locations and vanishing points, on a global scale. The global attention mechanism module in the network improves the performance of the depth estimation by mitigating information reduction and amplifying global interaction representations. Furthermore, transformer is also introduced to the encoder module to mitigate information loss and obtain higher estimation accuracy. Experiment results on the NYU-Depth-v2 dataset and the KITTI dataset show that our model achieves the state-of-the-art performance with complete detail recoveries and depth continuation in broad planes at long distances.
Knowledge-Based Multi-Behavior Recommendation with Factor Disentanglement

Traditional recommendation models usually consider only one type of user behavior, some recommendation models focus on user behaviors that frequently occur (e.g. click, view), which have more interaction data but does not accurately reflect the users’ interests, and another types of recommendation models focus on user behaviors which reflect a stronger user preference (e.g. purchase), but has problem of data sparcity. Therefore, in order to improve the performance of the model, multi-behavior-based recommendation is a suitable solution. However, early efforts towards multi-behavior recommendation either do not utilize external knowledge to encode explicit relationships, or cannot fully explore the semantic information of user behavior. Hence, in this work, we solve these problems by constructing a heterogeneous interaction graph and proposing a new multi-behavior recommendation model named KMBFD(short for Knowledge-based Multi-Behavior Recommendation with Factor Disentanglement), which encodes knowledge-based information by multi-relational item graph and user graph and captures semantic information of multi-behavior interaction by a feature aggregation module with factor disentanglement method that is used to disentangle multi-dimensional latent factors hidden in the training data, which can enhance expressiveness and interpretability.
Using Dspace Platform for Creation of Open Access Local Repositories

The paper presents a brief review of the Dspace software platform for long-term data storage with indexing and search system used for open access repository creation. The experience of using and maintaining the platform for building BulDML and BGOpenAIRE repositories are highlighted.
Providing Open Access to Digital Repositories for Social Sciences and Humanities Publications – Problems and Best Practices

The report presents some problems and best practices for providing open access to digital repositories for scientific publications in social sciences and humanities (SSH). Editions in SSH have specifics that concerns publications in many national languages, deep archives, metadata, search, etc. As an example, the Central and Eastern European Online Library – CEEOL has been chosen, because CEEOL is a leading provider and a repository offering a highly specialized and comprehensive collection of fulltext publications in SSH. Over 75% of the editions indexed in CEEOL are open access. The study analyzes the main characteristics of CEEOL as: services, functionalities, opportunities for using its resources and the state of the Bulgarian collection.
“2000 Errors and English Grammar”: Data Sources, Aims, and Fields of the Book plus Causes and Types of Errors

Error correction can be used as one of the strategies in learning a foreign language. In learning English as a foreign language (EFL), teachers’ correction of errors can provide university students and other learners with useful feedback. Students should have a chance for learning by doing and sharing in pair work or group work because “practice makes perfect.”
Analysis of the Listening Ability of PGSD Students in Online Learning

This study aims to analyze students’ listening skills in online learning in language skills courses. In addition, this study also aims to find factors that affect students’ listening difficulties. This study was designed using descriptive research with a quantitative and qualitative approach involving 86 students taking a listening skill test. The results showed that the students had very good listening skills, as indicated by the scores of listening skills, most of the students were in the 82,5-95 range. However, the result is still only on the ability to listen in simple texts, so that listening skills need to be improved again to understand more complex information. Factors that affect listening difficulties are internal factors, that is mental readiness in understanding the information being listened to, and external factors such as inadequate places and poor internet networks.
PENYUSUNAN RENCANA PELAKSANAAN PEMBELAJARAN (RPP) ABAD 21 UNTUK PARA GURU SMA NEGERI &amp; SMK NEGERI DI SURABAYA

This technical guidance activity was carried out with the aim of socializing the preparation of the 21st century Learning Implementation Plan because there are still many biases faced by teachers, especially EFL teachers, related to changes in systems, learning media, and so on, plus, English is increasingly crucial, so that the role of the EFL teacher must also be adjusted relevantly to the new culture. The data in this study are the results of a questionnaire and the data source is the questionnaire. The subjects are the participants of the technical guidance who are also EFL teachers and EFL pre-service teachers. The instruments are 5 questions on Strengthening Education Character, 5 questions on Literacy, and 5 questions on HOTS in the Learning Implementation Plan. From the results of the activity, it can be concluded that EFL teachers and EFL pre-service teachers are still not encouraged to strengthen education character but they have realized the importance of literacy development and implementation of HOTS in the 21st century Learning Implementation Plan which is very relevant to technological and digital civilization.
An Analysis of Students’ Difficulties in Comprehending Report Text at the Eleventh Grade of SMA Swasta Islam Terpadu Daar Al Uluum Kisaran

This research aimed to analyze the most dominant difficulties faced by the eleventh grade students of SMA Swasta Islam Terpadu Daar Al Uluum Kisaran in comprehending reading texts and to identify factors that triggered the obstacles. This study was a qualitative research and the subject was the eleventh grade students of SMA Swasta Islam Terpadu Daar Al Uluum Kisaran in 2020/2021 Academic Year. The techniques of data collection were test and interviews. The researchers used the technique of data analysis constructed by Miles and Huberman. The steps are first, data collection; the data were collected from the students’ test. The second is data reduction; the researchers classified and reduced the data based on the research focus. Third is data display, the researcher arranged all information and drew conclusions. Results of the research showed that15,80% students had difficulties in determining main idea (35 incorrect answers). 14,40% students had difficulties in identifying references (32 incorrect answers), 26,60% students had difficulties in understanding vocabulary (59 incorrect answers). Furthermore, 25,20% found difficulties in making inference (56 incorrect answers)and 18,00% students had difficulties in identifying detailed information of the text which the total incorrect answer was 40. The factors causing the difficulties were problems in understanding vocabulary, home and school environments, and students’ lack of learning English.
Design of Informatic Logic Teaching Meterial Appication Using Ideal Problem Solving Based on Android Case Study in Universitas Pamulang

Basic Physics is a part of physics that studies about objects in nature, the symptoms of natural events and the interactions of objects in nature. This symptom is initially what our senses experience. For example, sight finds optics or light, hearing finds learning about sound, heat can also be felt (felt). In defining a quantity in physics, there must be rules for calculating the quantity in question based on other measurable quantities. In Basic Physics, it is necessary to understand the flow of questions well to how to calculate and explain them. However, sometimes students do not understand this course due to weakness in calculations or lack of understanding of material concepts and the use of formulas. For this reason, it is necessary to have the latest learning methods through Android to improve student understanding. The purpose of this paper is to determine whether the use of the IDEAL problem solving model based on Android is effective, because based on several researches, iDEAL problem solving can improve students' process skills, increase motivation and improve problem solving abilities. The results of this research are in the form of an application that is used as one of the innovative and android-based learning media so that it is more practical to learn anywhere and anytime.
Reduce the Effort and Time in Calculating the Absenteeism Percentage of Students

This study started from some of the problems that took from our institution a lot of time to solve, this study included two parts, and the first part is Image discrimination problems are usually difficult to solve using unprocessed data. To improve the discrimination process Characteristic extraction is often needed to represent data in a space of distinction. Pattern recognition aims to find or recognize specific patterns or structures in digital images (signal). To identify a pattern or an object in an image, you must first obtaining direct preliminary and statistical information about the image that must be digital in order to be able to deal with it by computer. The information in the image must also be classified to facilitate subsequent operations on the image, such as Debriefing The second part is to calculate the absences of students with an electronic system based on two languages where VB.Net language was adopted to accomplish the program interfaces in addition to the special code to find the percentage of absences, SQL was adopted for the purpose of creating a database in the program and storing data. The process of finding a mechanism to link the VB.Net program with the Internet for sending an e-mail message to the person concerned with the program (the student) for informing the percentage of absences in the study materials when exceeded the ratio approved in the program. The program has also been linked to a local network to be used on more than one computer at the same time and on a single database.
KNOWLEDGE SHARING TOOLS IN HIGHER EDUCATION SECTOR OF PAKISTAN: THE ROLE OF JOB SATISFACTION AND ORGANIZATIONAL COMMITMENT AS MEDIATOR

In global era, business and economies are experiencing continuous revision due to lack of knowledge and intangible resources. Now a day, to attain competitive advantage in knowledge based economies, organization is using different techniques to manage employee knowledge. This study examines the impact of knowledge sharing tool on organizational innovation by using mediating role of job satisfaction and organization commitment and to test this relationship through empirical in the context of Pakistan. Convenient sampling technique is used to collect data from the 400 teachers of public universities, through survey questionnaire. Results shows that Knowledge sharing tools have positive impact the organizational innovation. Moreover, the findings also confirm that job satisfaction and organization commitment mediate the relationship among knowledge sharing tools and organizational innovation. Moreover, employee trusts along with organization commitment and job satisfaction encouraging the innovation behavior. This research contributed in theoretical and practical by considering trust as a knowledge sharing tool influence on organization innovation with mediation analysis of job satisfaction and organization commitment. Comparative study may be conducted in future from public and private university
Multi-stage Progressive Compression of Conformer Transducer for On-device Speech Recognition

The smaller memory bandwidth in smart devices prompts development of smaller Automatic Speech Recognition (ASR) models. To obtain a smaller model, one can employ the model compression techniques. Knowledge distillation (KD) is a popular model compression approach that has shown to achieve smaller model size with relatively lesser degradation in the model performance. In this approach, knowledge is distilled from a trained large size teacher model to a smaller size student model. Also, the transducer based models have recently shown to perform well for on-device streaming ASR task, while the conformer models are efficient in handling long term dependencies. Hence in this work we employ a streaming transducer architecture with conformer as the encoder. We propose a multi-stage progressive approach to compress the conformer transducer model using KD. We progressively update our teacher model with the distilled student model in a multi-stage setup. On standard LibriSpeech dataset, our experimental results have successfully achieved compression rates greater than 60% without significant degradation in the performance compared to the larger teacher model.
Peningkatan Kemampuan Keterampilan Komputer dan Pengelolaan Informasi Dalam Mendukung Gerakan Literasi Digital Pada SMKN 1 Sakra

Skills in using computers or digital are also very instrumental in determining a person's success in this case at the level of education. Vocational High School (SMKN) 1 Sakra is a vocational high school in Sakra District, East Lombok district. Class of 2020 students are students who from the beginning of entry to graduation are students who created the Covid 19 pandemic, the teaching and learning process uses courage. Vocational students who should get maximum practicum are constrained because learning is carried out at home using bold learning, this causes the knowledge and skills of grade 3 students to be minimal and can result in students having difficulty finding work. From this problem, the PkM team at the Mataram University of Technology improved computer skills and information management by conducting training that focused on the introduction of the internet, operating MS. Office and how to manage information in this case using Google Drive. The results of this study were students' knowledge of computers and information technology, students were able to operate well Ms. Office and students are able to manage information well.
On the interplay between vocal production effect and learning content types in e-learning settings

The concept of “production effect” from experimental psychology suggests that produc- ing a word aloud during study improves explicit memory as compared to reading the word silently. In this study, we investigate the effect of the different vocal production behav- iors on recollection rates concerning varying content types delivered through an e-learning platform and inquire whether there is any possibility of improving the e-learning system by integrating vocal production instructions. As for different sorts of vocal production behaviors, we considered as the usual depiction (uttering) as well as lack (free view) and suppression (mouthing) of vocal production. As for content types, one numerical content and two verbal contents with varying levels of pronunciation difficulty are considered. Our results indicate that there is no statistically significant difference on recollection rates be- tween various vocal production behaviors. However, it is observed that by uttering, the content which is relatively harder to pronounce, can be recalled better than the others in a statistically significant way. This unexpected result indicates that there is a potential to increase the performance of learners, who study unfamiliar verbal content (e.g. foreign vocabulary) by integrating vocal production into e-learning systems.
The Initial Listening Skill of the Undergraduate Students of English Education Department

This research is aimed to investigate the initial listening skill level of the undergraduate Students of English Education Department (EED) in Universitas Nasional Karangturi Semarang 2020/2021. The descriptive research method is applied in this research setting. The participants of the study are the undergraduate Students of EED in Universitas Nasional Karangturi Semarang 2020/2021. The technique of data collection is through administering IELTS listening. The data collected were analyzed descriptively by identifying the correct and incorrect answers in each section of the test. The result of the study shows that the average level of the students’ listening skill is in the B1 level categorized as the independent user based on the CEFR standard. On average, the students are able to understand straightforward factual information about common everyday or job related topics, identify both general messages and specific details, provided that speech clearly articulated in a generally familiar accent. Moreover, they are able to understand the main points of clear standard speech on familiar matters regularly encountered in work, school, leisure etc., including short narratives. Second, at the individual level, there is a big gap of listening skill between the students with highest and the lowest score. There are also several aspects of the undergraduate students listening skill that should get attention when it comes to the listening course design and development. The aspects are understanding and retaining some specific or key information, and recognizing the relationships and connections between facts in the listening text
Audio Storytelling to Teach Listening Skill for Vocational High School

The objectives this research to know implementation of audio storytelling to teach listening skill in class tenth at SMK Negeri 2 Trenggalek. The research design qualitative research and the type is case study because this research based on phenomenon. This research used two instruments: observation sheet and interview. Observation sheet was used by the researcher to observe the teaching activity and interview was used to find in-depth information by the teacher about the use of storytelling as media in teaching activity. Observation sheet consisted of 6 statements based on techniques of teaching audio storytelling and lesson plan. The findings shows that the implementation of learning using audio story telling in listening has met the criteria expected by the researcher. In interview, researcher gave 6 questions to the teacher. The result shows that audio story telling can be implemented to teach listening skill in tenth grade at SMKN 2 Trenggalek.
Effectiveness of Animated Video Towards Students' Ability in Writing Narrative Text at SMKN 1 Rejotangan

This study was aimed to know students ability in writing narrative if there is significant different before and after being taught using animated video on second grade students at SMKN 1 Rejotangan. This study was quantitative approach pre-experimental research. During the research, researcher collected data by giving pre-test, activities in experiment, and post-test. The data was an essay writing. In the first meeting students was given pretest to measure their ability in writing before being taught with animated video. Then, researcher give posttest after taught using animated video. Due to pandemic of Covid-19, Researcher did the experiment by online through zoom meeting and google form. Some problem that faced by the students in writing is hard to find ideas to write. Animated video as teaching and learning media, it can help students to get ideas after watching the animated video. The mean score of pre-test was 11.43 and the mean score of post-test was 16.86. The significant different of both scores indicated that the method is effective to improve students skill in writing narrative. The conclusion from the research is animated video can be used as media to help students writing better and succeeded teaching and learning process.