Reviewerly/exHarmony huggingface dataset:
EventHPE: Event-Based 3D Human Pose and Shape Estimation

Event camera is an emerging imaging sensor for capturing dynamics of moving objects as events, which motivates our work in estimating 3D human pose and shape from the event signals. Events, on the other hand, have their unique challenges: rather than capturing static body postures, the event signals are best at capturing local motions. This leads us to propose a two-stage deep learning approach, called EventHPE. The first-stage, FlowNet, is trained by unsupervised learning to infer optical flow from events. Both events and optical flow are closely related to human body dynamics, which are fed as input to the ShapeNet in the second stage, to estimate 3D human shapes. To mitigate the discrepancy between image-based flow (optical flow) and shape-based flow (vertices movement of human body shape), a novel flow coherence loss is introduced by exploiting the fact that both flows are originated from the identical human motion. An in-house event-based 3D human dataset is curated that comes with 3D pose and shape annotations, which is by far the largest one to our knowledge. Empirical evaluations on DHP19 dataset and our in-house dataset demonstrate the effectiveness of our approach.
Small Urban Hacks - Big Impact! Tackling major urban challenges through acupunctural smallness

Small urban hacks, acupunctural action and process-oriented planning approaches might appear to addressquite a socio-romantic attitude towards our urban environments. In this chapter, our aim is to remedy sucha biased view, demonstrating the impact and potential of smallness in the context of major urban challenges.Small urban hacks and their multi-faceted and creativity-driven approaches of small is beautifulare selected from all over Europe to investigate the rigidity of the existing urban fabric. Small actionsare reflected in a quantitative and qualitative way, analyzing and critically dissecting their impact, civicacceptance and efforts to achieve a resilient future urban spirit. This meticulous inspection reframes theurban acupuncture standpoint, outlining the possibility for reconciliation between both former and currentplanning credos in view of present and upcoming urban threats.
Research on Evaluation Model of Football Frontal Line Player Competitive Ability Based on Fuzzy Clustering

Sports represented by football are playing a more and more important role in residents' lives. In recentyears, the broadcasting of high-level football leagues has also enabled audiences all over the world to enjoy thecharm of football at home. On the basis of introducing concepts such as fuzzy clustering, the systematic clusteringmethod, k- means algorithm and FCM algorithm are emphatically analyzed. On this basis, the existing evaluationmodel of football frontal line player's competitive ability was improved, and a new evaluation model wasestablished. Twenty-seven main indexes affecting the competitive ability of football frontal line player wereobtained, and fuzzy mathematical modeling was carried out on this basis. And select a frontal line player as a case,according to the evaluation system, make an objective evaluation of its ability, type and suitability for studyingabroad.
Urban Dictionary: Crowdsourced Appropriation

Dictionary: Crowdsourced Appropriation by Emma Rashes analyzes “crowdsourced appropriation” on the popular website Urban Dictionary, arguing that the site’s irregular algorithmic behavior, and its founder’s misunderstanding of African American Vernacular English, create pathways for anti-Black and misogynistic mis-definitions to circulate even as they produce profit for the company.
A Novel Feature to Predict Buggy Changes in a Software System

Researchers have successfully implemented machine learning classifiers to predict bugs in a change file for years. Change classification focuses on determining if a new software change is clean or buggy. In the literature, several bug prediction methods at change level have been proposed to improve software reliability. This paper proposes a model for classification-based bug prediction model. Four supervised machine learning classifiers (Support Vector Machine, Decision Tree, Random Forrest, and Naive Bayes) are applied to predict the bugs in software changes, and performance of these four classifiers are characterized. We considered a public dataset and downloaded the corresponding source code and its metrics. Thereafter, we produced new software metrics by analyzing source code at class level and unified these metrics with the existing set. We obtained new dataset to apply machine learning algorithms and compared the bug prediction accuracy of the newly defined metrics. Results showed that our merged dataset is practical for bug prediction based experiments.
CampusGuides: Glendale Community College Library Updates: Honorlock and Other Apps/Exts on Library Chromebooks

This page provides some technical support for students using apps and extensions, pre-installed or student-installed, on library Chromebooks.
SemIE: Semantically-aware Image Extrapolation

We propose a semantically-aware novel paradigm to perform image extrapolation that enables the addition of new object instances. All previous methods are limited in their capability of extrapolation to merely extending the already existing objects in the image. However, our proposed approach focuses not only on (i) extending the already present objects but also on (ii) adding new objects in the extended region based on the context. To this end, for a given image, we first obtain an object segmentation map using a state-of-the-art semantic segmentation method. The, thus, obtained segmentation map is fed into a network to compute the extrapolated semantic segmentation and the corresponding panoptic segmentation maps. The input image and the obtained segmentation maps are further utilized to generate the final extrapolated image. We conduct experiments on Cityscapes and ADE20K-bedroom datasets and show that our method outperforms all baselines in terms of FID, and similarity in object co-occurrence statistics.
Research and design of a multifunctional intelligent walking stick

Abstract This paper designed a multifunctional intelligent walking stick for the elderly. The mechanical structure of the walking stick is provided with a hook, auxiliary mechanism for standing up, an anti-tripping mechanism, a small table board and telescopic adjustment. The auxiliary mechanism for standing up can make it easier for the user to stand up. The anti-tripping mechanism makes it safer for the elderly to walk without tripping. The retractable adjustment can meet the needs of people with different heights. The walking stick is also equipped with intelligent elements, such as lighting lamp, automatic time alarm, fall alarm system, manual alarm system, GPS positioning and MP3 music functions. When the elderly feels unwell, they can press the alarm switch, and the alarm bell will turn on, which can attract passers-by and improve the chance of rescue. When the fall alarm system is turned on, if the user falls, the alarm bell will ring, At the same time, the GPS positioning module will send the crutch position to the intelligent terminal to remind the guardian in time. Compared with the traditional crutches, the crutch has many functions and it is more convenient to use and safer.
The Complex Dynamic Approach

This chapter aims to explain how research has conceptualized psychological and second language development (SLD) as complex, adaptive, and dynamic systems that self-organize in non-linear and unpredictable paths. It describes how scholars in the fields conduct research within this developmental paradigm, known as complexity theory, dynamic systems theory, or complex adaptive theory to address questions that were previously overlooked. Complex dynamic systems theory (CDST) offers a framework and research methods to investigate fluctuation and interaction between SLD variables over time. Research in first language development using a CDST framework exemplifies the commonalities and differences between psychology and SLD research. Research using a CDST framework offers an alternative lens with details about the processes in which psychological and SLD phenomena develop. Researchers in both psychology and SLD have suggested that external influences affect cognitive development; yet, the research about perturbations created by outside influences on internal development is limited.
Perancangan Sistem Informasi Peserta Keluarga Berencana di Perwakilan BKKBN Sumatera Utara Berbasis Visual Basic (VB) Net

The Family Planning and Reproductive Health Program is implemented to regulate the number of children, the spacing of children's births according to the wishes and without elements from any party. Thus, a healthy, prosperous and quality family will be realized. Services in this unit aim to ensure the smooth running and satisfaction of family planning participants at the National Population and Family Planning Agency (BKKBN) Representative. The BKKBN is in charge of carrying out government duties in the field of family planning and prosperous families. The BKKBN used to have a slogan that two children are enough, boys and girls are the same. Manual data management has many weaknesses besides taking a long time, its accuracy is not acceptable because it allows errors to occur. With these problems, a system was created to facilitate the process of storing data on family planning participants. Problems that are often encountered are registration that is quite long for family planning participants who still use the manual system and the ineffectiveness of family planning data management at the North Sumatra BKKBN Representative. The aim is to implement a new system that will make it easier for employees to input data, search data, and store data on family planning participants.
THE ROLE OF ERROR ANALYSIS IN TEACHING AND LEARNING ENGLISH AS FOREIGN AND SECOND LANGUAGE

The paper aims to explore the mistakes of students who learn English as a second and foreign language. Most of the time, errors are considered flaws or foibles that are cause of perturbation, agitation and embarrassment. In fact, errors are like a gadget that can be used to rectify the mistakes of learners while acquiring English as L2. Moreover, the study elaborates the attitude of students towards errors and mistakes that they commit in learning process of English as L2. Error analysis is a tool that gives a road map not only to teachers but also to students to learn from their mistakes. Error analysis is also pivotal for the tutors to enable them to devise new teaching strategies and make proper planning for better learning process and to teach English to students in better and organized way. The present work depends on the syntactic analysis of students’ written composition and on the questionnaire delineated to the students of BS (Bachelor Science) to collect data in the sequel of peculiarity of error analysis. The findings and the discovery of the study endorse that students need to learn proper syntactic structure, linguistic precision and parts of speech.L1 of the learners also influence the learning curve of L2. The examination further recommends the proper spoken expression, listening skill and reading ability for refined written project as language learning is an intricate system of different building blocks.
PERENCANAAN SISTEM DISTRIBUSI AIR BERSIH DAN PENGOLAHAN AIR BUANGAN PADA PEMBANGUNAN TOWER A APARTEMEN TAMANSARI EMERALD SURABAYA

Plumbing installation planning is one of the most important things in building constructions. The planning of clean water distribution network in the Tamansari Emerald Surabaya Apartment building is designed to serve the clean water needs of residents and customers. Plans are made in accordance with standards and regulations regarding the provision of clean water in the apartment. The Tamansari Emerald Surabaya Apartment is a building with 48 floors consisting of 1 basement floor, 1 commercial floor, 13 parking floors, and 33 residential floors. Clean water needs are calculated based on the number of residents and room types with a total building water requirement of 312. m³ / day. The diameter of vertical clean water pipe used is 4 inches,meanwhile the diameter for distribution pipes range of ¾ inch to 1 ½ inch. The clean water distribution system uses a ground water tank and roof tank, which those volumes are 120 m3 using 2 units tanks of 60 m3 and 20.8 m³using FRP-tank.
Analisis Deskriptif Terhadap Curah Hujan Harian Kota Palembang

One of the issues of climate change is changes in the pattern and intensity of rainfall. We want to know whether rainfall in Palembang experience changes in the pattern. This paper presents the results of descriptive statistical analysis of daily rainfall in the Palembang over the last 10 years (2009-2018). Analysis was conducted annually to see the development of rainfall behavior over the last 10 years. Data were obtained from BMKG Station Palembang II SMB Airport via the site
The interaction between participatory leadership practices and perceived behavioral integrity and their impact on fighting deviant work behavior: An applied study on a sample of administrative leaders in private commercial banks in Sulaimani city in Iraq: التفاعل بين ممارسات القيادة التشاركية والنزاهة السلوكية المدركة وأثرها في محاربة سلوك العمل المنحرف: دراسة تطبيقية على عينة من القيادات الإدارية في المصارف التجارية الأهلية في مدينة السليمانية في العراق

The study aimed to identify the extent to which private banks in the city of Sulaymaniyah adopt participatory leadership practices and perceived behavioral integrity, reveal the nature and direction of the relationship between participatory leadership and perceived behavioral integrity, and combat deviant behavior in these banks, in addition to determining whether the interaction is between participatory leadership and integrity. Perception affects the behavior of deviant work, and to achieve the objectives of the study, the researchers designed a questionnaire as a study tool that was distributed to the study sample of (108) managers, assistants of managers, heads of departments and divisions in private commercial banks in the city of Sulaymaniyah, and the results showed that private banks do not adopt participatory leadership practices and behavioral integrity Significantly, with a significant positive statistically significant effect of adopting participatory leadership practices on deviant work behavior in private banks in the city of Sulaymaniyah, where the value of the correlation coefficient R (-2.159) at the level of significance (.031), and the existence of a positive statistical significance effect. To adopt the perceived behavioral integrity on the deviant work behavior of private banks in the city of Sulaymaniyah, and the results revealed The study on the absence of a positive, statistically significant, positive impact at the level of (0.05) for the interaction between participatory leadership practices and perceived behavioral integrity on deviant work behavior. And their leaders, and emphasize the importance of adopting participatory leadership practices and perceived integrity together, as they have a clear impact on reducing deviant behaviors, which will positively affect banks in terms of creating a positive, effective and ideal work environment.
E-Commerce Based Digital Marketing Using Business Model Canvas

The digital era, which is quickly evolving nowadays, necessitates the use of online stores by business owners to compete for as many clients as possible. E-commerce is the process of selling, purchasing, and marketing a product over the internet network. Conventional sales of items that do not maximize the use of promotional media will result in sales declining and many products not being sold. Traditional sales must instantly transition to digital marketing via e-commerce websites using a Content Management System (CMS) so that retailers can have their charm to improve product sales. The benefit of this research is to make online sales utilizing a Content Management System (CMS) to improve business operations and product marketing by employing Search Engine Optimization (SEO) to reduce product marketing expenditures. The Business Model Canvas (BMC) is used to create an online business model. Unified Modeling Language (UML) diagrams, such as Activity Diagrams, Use Case Diagrams, Component Diagrams, and System Sequence Diagrams, are used in the system design. As a result of this research, the e-commerce website will be displayed on the first page of the search site, allowing it to assist shop transaction activities and serve as a promotional medium.
Adopción y uso de las tecnologías digitales en el profesorado universitario: un análisis de género y edad

espanolEl exito del proceso educativo mediados por la tecnologia, depende en gran medida de la adopcion y el uso de la tecnologia digital (TD) por parte del profesorado, desde esta corriente se presenta un diagnostico multivariado sobre el nivel de adopcion y uso de las TD, mediante el efecto moderador de las variables genero y edad, el estudio se llevo a cabo con una muestra de 280 docentes universitarios que respondieron el cuestionario denominado TAUT conformado por 46 items tipo escala de Likert en 5 dimensiones. La metodologia aplicada en el estudio es cuantitativa basada en el metodo no experimental, descriptivo e inferencial, los datos fueron analizados a partir de una comparacion de medias, utilizando pruebas no parametricas. Los resultados se manifiestan por medio del TAUT autoevaluando la adopcion y uso de las TD por parte del profesorado, los mismos que logran poseer una aceptacion positiva en todas las dimensiones, como tambien permiten conocer que no existen diferencias significativas en la mayoria de los items en funcion del genero como la edad, los mismos que no afectan a la intencion del comportamiento del profesorado para adoptar y usar las TD. EnglishThe success of the educational process mediated by technology depends largely on the adoption and use of digital technology (TD) by teachers, from this current a multivariate diagnosis is presented on the level of adoption and use of TD, through the moderating effect of gender and age variables, the study was conducted with a sample of 280 university teachers who responded to the questionnaire called TAUT consisting of 46 Likert scale type items in 5 dimensions. The methodology applied in the study is quantitative based on the non-experimental, descriptive and inferential method, the data were analyzed from a comparison of means, using non-parametric tests. The results are shown by means of the TAUT self-evaluating the adoption and use of the TD by the teaching staff, the same that manage to have a positive acceptance in all the dimensions, as well as allowing to know that there are no significant differences in most of the items according to gender and age, the same that do not affect the intention of the teaching staff behavior to adopt and use the TD.
Bug Assignment Through Advanced Linguistic Operations

In this era we are blessed with huge amount of data, we come across a lot of ways by which we can reduce human efforts in common day to day work. With the availability of new and updated algorithms we can improve accuracy in our tasks. Bug assignment has been a huge pain for companies since years. It takes a lot of human effort and expertise to assign a reported bug to its correct owner. Resolution time for issues depends upon how quickly the reported bug was assigned to the correct owner. Moreover, developers waste a lot of time in bouncing the reported bugs to one another after analysing huge log files. Lots of time is wasted in analysing the issues which have already been fixed by some other developer. In this paper we will focus on approaches we can take to create some intelligent machine learning models for automatic bug assignment with high accuracy. We are trying to make an automated system which assign the issues directly to the developer. We have used two approaches to achieve this. First we have made an Artificial Neural Network (ANN) and Recurrent Neural Network (RNN) model on 2M bugs and by ensemble of these two Neural networks we have framed a final model with the help of optimum \(\alpha \). By applying this approach we have achieved accuracy of 83% @top-1 and 89% @top-2. To achieve more accuracy we have used transfer learning as we didn’t have a huge dataset to make a large neural network so we have use state-of-art language model ULMFiT which is trained on 103 million words corpus. We fine-tuned that model with our dataset and used it for prediction .With this approach we achieved an accuracy of 89% @top-1 and 95% @top-2. So as soon as a new bug reported the models will predict the suitable developer to resolve that bug.
The Attempt of Discourse Analysis and Video Reflection in the Education of Engineering Ethics

Previous research on engineering ethics education has focused on the perspective of the educator, and little research has been done on the learning process of learners, including the teacher’s behavior. This study attempts to conduct discourse analysis and video reflection in a class on engineering ethics, focusing on the interaction between teachers and learners and the learning process. We conducted and recorded a case study discussion class, and conduct discourse analysis and video reflection. As a result of the analysis, we considered the importance of paying attention to the discussion process and the inherent features of group work. It was also argued that teachers’ own reflections on the video were effective in improving the class.
The Impact of the Quality of the Accounting Information on Minimizing Risks of Cloud Accounting in Jordanian Working Companies

The purpose of the present study was to explore the role of risks associated with employing cloud computing (human and legislative, material, and cyber security) on accounting information quality from viewpoints of service providers and recipients. The study was applied on a simple randomly selected sample of (67) Jordanian companies used for cloud computing, and all five Jordanian cloud service providers participated. To test for study hypothesis one – sample T test and independent T- test were used. The study concluded with a set of results, most importantly were that from viewpoint of service providers and recipients, there was a significant role for human and legislative, material, and cyber security on accounting information quality. Results also showed no statistically significant difference between recipients and service providers regarding the role of risks associated with cloud computing (human and legislative, and cyber security) on accounting information quality. However, there was a significant difference between recipients and service providers regarding the role of material risks on accounting information quality. Major recommendations included that cloud computing services and recipients are called to activate the role of control activities in accordance with COSO to ensure responsiveness to cloud computing risks appropriately and timely, and to enhance quality of financial reporting.