Reviewerly/exHarmony huggingface dataset:
Selection Techniques for 3D Extended Desktop Workstation with AR HMD

Extending a standard desktop workstation (i.e. a screen, a mouse, a keyboard) with virtual scenes displayed on an Augmented Reality Head-Mounted Display (AR HMD) offers many identified advantages including limited physical space requirements, very large and flexible display spaces, and 3D stereoscopic views. While the technologies become more mainstream, the remaining open question is how to interact with such hybrid workstations that combine 2D views displayed on a physical monitor and 3D views displayed on a HoloLens. For a selection task, we compared mouse-based interaction (standard for 2D desktop workstations) and direct touch interaction in mid-air (standard for 3D AR) while considering different positions of the 3D scene according to a physical monitor. To extend mouse-based selection to 3D views, we experimentally explored different interaction metaphors where the mouse cursor moves either on a horizontal or a vertical plane in a 3D virtual scene. To check for ecological validity of our results, we conducted an additional study focusing on interaction with a 2D/3D Gapminder dataset visualization. The results show 1) that the mouse-based interaction, as compared to direct touch interaction in mid-air, is easy and efficient, 2) that using a vertical plane placed in front of the 3D virtual scene to mimic the double screen metaphor outperforms other interaction techniques and 3) that flexibility is required to allow users to choose the selection techniques and to position the 3D virtual scene relative to the physical monitor. Based on these results, we derive interaction design guidelines for hybrid workstations.
SCAN++: Enhanced Semantic Conditioned Adaptation for Domain Adaptive Object Detection

Domain Adaptive Object Detection (DAOD) transfers an object detector from the labeled source domain to a novel unlabelled target domain. Recent advances bridge the domain gap by aligning category-agnostic feature distribution and minimizing the domain discrepancy for adapting semantic distribution. Though great success, these methods model domain discrepancy with prototypes within a batch, yielding a biased estimation of domain-level statistics. Moreover, the category-agnostic alignment leads to the disagreement of the cross-domain semantic distribution with inevitable classification errors. To address these two issues, we propose an enhanced Semantic Conditioned AdaptatioN (SCAN++) framework, which leverages unbiased semantics for DAOD. Specifically, in the source domain, we design the conditional kernel to sample Pixel of Interests (PoIs), and aggregate PoIs with a cross-image graph to estimate an unbiased semantic sequence. Conditioned on the semantic sequence, we further update the parameter of the conditional kernel in a semantic conditioned manifestation module, and establish a novel conditional graph in the target domain to model unlabeled semantics. After modeling the semantic distribution in both domains, we integrate the conditional kernel into adversarial alignment to achieve semantic-aware adaptation in a Conditional Kernel guided Alignment (CKA) module. Meanwhile, the Semantic Sequence guided Transport (SST) module is proposed to transfer reliable semantic knowledge to the target domain through solving the cross-domain Optimal Transport (OT) assignment, achieving unbiased adaptation at the semantic level. Comprehensive experiments on four adaptation scenarios demonstrate that SCAN++ achieves state-of-the-art results. The code is available at <uri xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">https://github.com/CityU-AIM-Group/SCAN/tree/SCAN++</uri> .
The symptoms, causes, and repairs of workarounds in apache issue trackers

In issue tracker systems, a bug report can be resolved as workaround. Since the definition of workarounds is vague, many research questions on workarounds are still open. For example, what are the symptoms of bugs which are resolved as workarounds? Why does a bug report have to be resolved as workarounds? What are the repairs and impacts of workarounds? In this paper, we conduct an empirical study to explore the above research questions. In particular, we analyzed 221 real workarounds that were collected from 88 Apache projects. Our results lead to ten findings and our answers to all the above questions. Our findings are useful to understand workarounds and to improve software projects and issue trackers.
Contextual-Based E-Book on Balinese Script Writing Learning Materials

The lack of interactive teaching materials used to support Balinese language learning activities causes students to lack understanding of the material and be less interested in learning the Balinese language. This study aims to create teaching materials in the form of a contextual-based e-book suitable for fourth-grade elementary school students. This study uses the ADDIE development model, which consists of 5 stages, analysis, design, development, implementation, and evaluation. The types of data collected in this study are quantitative data and qualitative data. The subjects in this study were one subject matter expert, one learning design expert, one learning media expert, and 12 elementary school fourth-grade students. The method of data collection uses the questionnaire method. The teaching material in the form of this e-book is declared eligible by obtaining the percentage results from the subject matter expert test with very good qualifications (95%), the learning design expert test with very good qualifications (91.7%), the learning media expert test with very good qualifications (90 %), individual trials with good qualifications (85%), and small group trials with good qualifications (88.8%). It can be concluded that the contextual-based e-book on the local content of writing Balinese script for the fourth grade is declared feasible to be used in the Balinese language learning process.
Application of geospatial analysis for soil classification in La Libertad region, Peru. 2020

The main objective of the research work was to update the soil classification map of the La Libertad region. The research is descriptive, and its sample was represented by all the soils of the studied region. To do this, we worked with the Earth Explorer, Google Earth and ArcGis 10.8 programs, which allowed us to identify, evaluate and classify the soils present according to the Land Classification system for its Major Use Capacity in the study region. The results obtained were that the La Libertad region is made up of five groups of soils, occupying the following areas: Protected lands with 66.69%, Lands suitable for pasture with 16.70%, Lands suitable for clean cultivation with 14.93%, Lands suitable for forest production with 1.53% and Land suitable for permanent crops with 0.15%. Concluding that the economic and population growth of the La Libertad region has brought with it a strong pressure on natural resources. Therefore, it is important to have an updated management document as it will a llo w establishing adequate strategies for the sustained use of the land in the development of the population.
Application of System Usability Scale (SUS) method in testing the usefulness of information system Student Creativity Program (PKM) based on website

One of the significant indicators in the Education field is having a good experience from outside the campus. The student experience is reflected in three main factors: thoughts, feelings, and skills. Students Creativity Program (PKM) is a form of the implementation of the Threefold Mission of Higher Education (Tri Dharma Perguruan Tinggi). PKM has an effort to grow, accommodate, and realize students' creative and innovative ideas. The use of information technology that is said to be a supporting factor in running business processes can improve effective and efficient performance, one of which is the use of computerized websites in PKM activities at Telkom Institute of Technology Purwokerto. The use of a website that is new still needs a lot of development. There are still some functions that have not run as they should be, such as the assessment process on the website that is still semi-manual. Based on these problems, so that the website can run optimally, it is necessary to evaluate the feasibility of the PKM system used by end users at Telkom Institute of Technology Purwokerto. The test was conducted using the System Usability Scale (SUS) method consisting of 10 statement items in the form of questionnaires with the main focus on measuring the feasibility level of the website involving respondents as end-users. The results showed that the validity test is said to be valid. Meanwhile, the reliability test is said to be reliable with a score of 63,308. This result can be categorized OK with grade scale D. The result shows that the research can be developed by updating the content or interface of the system to be more consistent and conducting demonstrations or socialization on how to use the system before users access the system.
Research on Personalized Product Recommendation Algorithm for User Implicit Behavior Feedback

Many e-commerce platforms use various discount promotions, celebrity endorsements, international brand settlement, advertising, and other techniques to increase overall sales and client ownership. Indeed, this type of "thousands of faces" recommendation technology is achieved through a reasonable recommendation technology, allowing platform users to explore the things they are interested in without having to leave their homes. By analyzing the improvement direction of personalized recommendation algorithms in practice, the coordination mode of big data processing framework and computing framework, and the overall efficiency improvement of recommendation system, this paper aims to build a set of personalized product recommendation algorithms with high data utilization, timely recommendation feedback, and stable calculation core. The existing BPR algorithm is improved and optimized in this paper, and the MBPR algorithm is used to calculate the weight of implicit feedback behavior using the entropy method in the subjective empowerment method and the order relationship analysis method in the objective empowerment method, and to quantify the weight of heterogeneous user implicit feedback behavior using the combined empowerment method. The user preference model used in the recommendation system is then created by taking into account the time weight decay factor in the quantitative data. The model accurately estimates the changed user's implicit feedback behavior. In comparison to the 68.61% and 18.68% performance of the conventional BPR algorithm, the MBPR method designed in this work attained an accuracy of 77.21% and 25.17% in the AUC index and 25.17%, respectively.
Research progress of integrated optical quantum computing

&lt;sec&gt;Quantum computing, based on the inherent superposition and entanglement properties of quantum states, can break through the limits of classical computing power. However, under the present technical conditions, the number of qubits that can be manipulated is still limited. In addition, the preparation of high-precision quantum gates and additional quantum error correction systems requires more auxiliary bits, which leads to extra cost. Therefore, it seems to be a long-term goal to realize a universal fault-tolerant quantum computer.&lt;/sec&gt;&lt;sec&gt;The development of analog quantum computing is a transition path that can be used to simulate many-body physics problems. Quantum walk, as the quantum counterpart of classical random walks, is a research hotspot in analog quantum computing. Owing to the unique quantum superposition characteristics, quantum walk exhibits the ballistic transport properties of outward diffusion, so quantum walk provides acceleration in computing power for various algorithms. Based on quantum walk, different computing models are derived to deal with practical physical problems in different fields, such as biology, physics, economics, and computer science.&lt;/sec&gt;&lt;sec&gt;A large number of technical routes are devoted to the experiments on realizing quantum walk, including optical fiber networks, superconducting systems, nuclear magnetic resonance systems, and trapped ion atom systems. Among these routes, photons are considered as the reliable information carriers in the experiments on quantum walking due to their controllability, long coherence time. and fast speed.&lt;/sec&gt;&lt;sec&gt;Therefore, in this review, we focus on different quantum walk theories and experimental implementations in optical versions, such as traditional optical platforms, optical fiber platforms, and integrated optical quantum platform. In recent years, the rapid development of integrated optical quantum platforms has driven the experiments on quantum walk to move towards the stage of integration and miniaturization, and at the same time, the experimental scale and the number of qubits have gradually increased.&lt;/sec&gt;&lt;sec&gt;To this end, we summarize the technological progress of integrated optical quantum computing, including various integrated optical quantum experimental platforms and their applications. Secondly, we specifically discuss the experiment on quantum walk and practical applications based on integrated optical quantum platforms. Finally, we briefly describe other quantum algorithms and corresponding experimental implementations.&lt;/sec&gt;&lt;sec&gt;These quantum computing schemes provide computational speedups for specific physical problems. In the future, with the further development of integrated optical quantum technology, along with the increase in the number of controllable qubits and the realization of the supporting quantum error correction system, a larger-scale many-body physical system can be constructed to further expand these algorithms and move towards the field of optical quantum computing, a new stage.&lt;/sec&gt;
A Lightweight Intelligent Virtual Cinematography System for Machinima Production

Machinima is a low-cost alternative to full production filmmaking. However, creating quality cinematic visualizations with existing machinima techniques still requires a high degree of talent and effort. We introduce a lightweight artificial intelligence system, Cambot, that can be used to assist in machinima production. Cambot takes a script as input and produces a cinematic visualization. Unlike other virtual cinematography systems, Cambot favors an offline algorithm coupled with an extensible library of specific modular and reusable facets of cinematic knowledge. One of the advantages of this approach to virtual cinematography is a tight coordination between the positions and movements of the camera and the actors.
Design-Led Intervention to Reduce Sedentary Behavior in Young People

Physical inactivity has been a predominant cause of major chronic health problems. In 2020 the World Health Organisation (WHO) issued revised guidelines on physical activity and sedentary behaviour for children to encourage a more active lifestyle. However, due to the growing trends of digital culture children at a young age are exposed to increased screen-related sedentary activities. It is therefore vital to consider creative ways to promote an active lifestyle to reduce the associated risks. This paper aims to explore how design-led intervention could be applied to increase physical activity and reduce sedentary time in the home environment. It also discusses the findings on its effectiveness in regulating the changed behaviour. Data were gathered from 20 households' participants over 90 days of using a novel prototype called the "Knudgebox,", where physical activities become a condition to have screen access. The prototype attempted to facilitate self-regulation of being active to reduce sedentary behaviour instead of stimulating a new behaviour change through extrinsic benefits. The results show that an increase in physical activities and a decrease in screen time can be achieved. It identified new behavioural patterns and insight into how design elements affected their determinants in making changed behaviour into self-regulation.
About One Approach for Intellectual Analysis of Social Processes

Modern social processes largely depend on the nature of the forms of change in people's lifestyles under the influence of information technology.Information and communication technologies (ICT) affect not only the biological and social development of people, but also their emotional and psychological state, relationships with others, and worldview.A brief review of research in the field of social informatics and the problems mentioned in the article prove the relevance of creating a system of intellectual analysis of social processes.The purpose of the study is to develop a general model for the analysis of social processes.This article discusses research in the field of social informatics and identifies factors that affect social processes in society.The model of a system for analyzing social processes and social relations is proposed.The article consists of four parts: the first part, which is of a general nature, contains general information about social informatics; the second part examines social groups in society and their characteristics, and the third part is devoted to the classification of social processes.The fourth part proposes a new model for the intellectual analysis of social processes.The proposed modeling model, among other advantages, offers an effective solution to the problem of big data, which is the main problem in the analysis of social processes.The proposed approach can be useful for a correct understanding and forecasting of social processes in society.Since the identification of knowledge and forecasting in social processes is an important factor in social progress and the socio-economic development of society.
Risk-Based Security Requirements Model for Web Software

With the proliferation of software vulnerabilities, tools are need to aid developers in infusing security requirements. This work introduces a risk-based security requirements model (RBSR) for web applications. With RBSR, security requirements for mitigating vulnerabilities are associated with weaknesses and risks. Events in the application’s functional requirements are also associated with risks. The functional requirements thus acquire the relevant security requirements. RBSR makes it possible to specify security requirements completely and consistently across use cases. The RBSR model is explained and a case study application is used to demonstrate the model.
Deblurring photographs of characters using deep neural networks

In this paper, we present our approach for the Helsinki Deblur Challenge (HDC2021).The task of this challenge is to deblur images of characters without knowing the point spread function (PSF).The organizers provided a dataset of pairs of sharp and blurred images.Our method consists of three steps: First, we estimate a warping transformation of the images to align the sharp images with the blurred ones.Next, we estimate the PSF using a quasi-Newton method.The estimated PSF allows to generate additional pairs of sharp and blurred images.Finally, we train a deep convolutional neural network to reconstruct the sharp images from the blurred images.Our method is able to successfully reconstruct images from the first 10 stages of the HDC 2021 dataset.
A Multi-Criteria Dual Membership Cloud Selection Model based on Fuzzy Logic for QoS

The use of cloud computing in various data-centric applications such as wireless sensor networks (WSN) has attracted a large number of users because the cloud integrates various features in the applications such as scalability, availability, security, etc.The adoption of on-demand services of the cloud has raised competition among various cloud service providers (CSPs).The various CSPs charge different subscription charges for their services, such as storage space and virtual processors.Hence, the selection of the most suitable cloud is a must.In this paper, a multi-criteria dual-membership-based fuzzy technique (MC-DMFT) is proposed to improve cloud users' QoS experience and address the hurdle of choosing an appropriate cloud service.We have used the MC-DMFT method to define the phases of the overall process involved in the cloud service selection and calculated the rank values for different users for QoS.Existing approaches are not proficient enough, and they require a very complex computation process.The proposed approach uses the concept of fuzzy technique to rank various cloud service providers based on capacity, pricing, security, performance, and maintenance as key parameters.The comparative analysis shows the effectiveness and potential of the proposed method.
A Step toward Programming with Versions in Real-World Functional Languages

λVL is a core calculus based on the concept of programming with versions that supports multiple versions of program definitions and values inherently in the semantics of a language. However, since λVL was not designed as a surface language, its complex syntax and semantics only provide primitive constructs to manipulate versioned values. In order to realize the programming with versions concept in a real-world language, we propose a compilation method for functional languages through λVL and discuss how real-world programs can be written in a Haskell-like functional language with versions.
Effects of Deep Neural Networks on the Perceived Creative Autonomy of a Generative Musical System

Collaborative AI agents allow for human-computer collaboration in interactive software. In creative spaces such as musical performance, they are able to exhibit creative autonomy through independent actions and decision-making. These systems, called co-creative systems, autonomously control some aspects of the creative process while a human musician manages others. When users perceive a co-creative system to be more autonomous, they may be willing to cede more creative control to it, leading to an experience that users may find more expressive and engaging. This paper describes the design and implementation of a co-creative musical system that captures gestural motion and uses that motion to filter pre-existing audio content. The system hosts two neural network architectures, enabling comparison of their use as a collaborative musical agent. This paper also presents a preliminary study in which subjects recorded short musical performances using this software while alternating between deep and shallow models. The analysis includes a comparison of users' perceptions of the two models' creative roles and the models' impact on the subjects' sense of self-expression.
The Impact of TED Youtube Channel to Improve Listening in English Learning Students of TBI IAIN Cirebon

In this modern era, the YouTube application is one of the media to improve students' English listening learning, one of which is through the TED YouTube channel. It also applies to students at IAIN Cirebon. However, in the process, it is not known whether this media has a positive impact or not in improving students' English listening learning. The purpose of this study is to see the effect of learning media from the TED YouTube channel on English listening learning for IAIN Cirebon students. This research used the descriptive quantitative method. The author surveyed the 3rd semester TBI students of IAIN Cirebon using an online questionnaire. The findings show that the use of media from the TED YouTube channel has a good impact on improving the English listening skills of IAIN Cirebon students. These positive impacts include increasing English vocabulary, students' ability to identify topics, and motivating students to practice English listening skills. In addition, students consider using video media from the TED YouTube channel as a fun way to practice English listening skills.