Reviewerly/exHarmony huggingface dataset:
Traffic Fixated Object Detection Guided by Region and Category

As a critical part of automated self-driving, object detection is an important aspect to ensure the safety of driving. From the perspective of computer vision, some existing detectors have striven to detect all objects in a traffic scene. However, from the perspective of strategy and efficiency, an experienced driver adopts the visual selective attention mechanism to selectively focus on objects closely related to driving task instead of all information in a traffic scene. Therefore, it is necessary and useful to integrate the selective attention mechanism with machine learning algorithms in self-driving vehicles to detect vital objects within drivers’ fixation regions. Moreover, a driver’s attention will be affected by weather conditions. A detector that can detect the vital objects according to changes in weather conditions is helpful to improve driving safety. In this work, we focus on the detection of fixated object in drivers’ attention areas. Firstly, we build a new fixated object detection dataset based on drivers’ fixations. Then, we propose an object detection method designated the Region and Category Guided fixated object detection Network (RCG-Net) based on common one-stage detectors. The method contains three modules, the Fixation Region Guided Module (FRGM), the Weather Category Guided Module (WCGM), and the commonly used detectors YOLO. FRGM is responsible for detecting the fixation regions and guiding the detector to focus on the fixated objects within those regions. WCGM is used to identify the weather conditions of the traffic image (e.g. cloudy or rainy), and guide the detector to adaptively extract the features of fixated objects under these different weather conditions. These two modules combine with the one-stage detectors to improve detection accuracy. Experimental results on the proposed dataset show that the proposed RCG-Net significantly enhances detection accuracy compared with original detectors, resulting in a dramatic 2.7 to 3.1 percent increase in detection accuracy. Among them, the proposed RCG-Net achieves a mean average precision (mAP) of 75.4% while achieving real-time testing performance. The code and dataset will be available in https://github.com/YiShi701/RCG-NET.git.
Difference and Connection Between a Company’s Name and Its Trademark

An enterprise name and a trademark often appear together on the product or in marketing. Some companies also use and register their business names or a part of their names as their trademarks. For example, “Jingdong”, “Xiaomi”, and “Alibaba” are both registered trademarks and form part of the respective enterprises’ names. Enterprise names and trademarks are inextricably linked, but at the same time largely different.
Procedure for the Selection of a Smart Contracting System in the Legal Field

Blockchain technology has put in the hands of humanity the solution to many practical problems that are present today in various organizations. Smart contracts are part of the improvements that were introduced from the use of this technology and were widely accepted by users in general. Various applications are included in the development of this type of platform, which has reached the legal field as a solution to the current problems of Contract Law. The selection of the best alternative, when hiring its implementation, leads to not making optimal use of resources during the process. That is why the main objective of the research was focused on designing and implementing a procedure, in the form of an exercise, for the selection of a smart contracting system in the legal field. In its fulfillment, the authors had the support of a heterogeneous group of experts in the field who determined the factors for their selection and their respective weight through the Kendall concordance method. Subsequently, the use of these factors in the VIKOR (VlseKriterijumska Optimizacija I Kompromiso Resenje) method made it possible to determine the best alternative to hire.
Strengthening Digital Literacy Through Scientific Literacy For Indonesian Emas 2045 In Elementary School

The biggest obstacle in improving education is synchronize the grand design and the blueprint for education.The goal of national education does not run well without guidance.In realizing Indonesia Emas 2045, the development of technology and knowledge a must for creating creative industrial society.This study is a systematic review study for analyzing the influence of scientific literacy and digital literacy for Indonesia Emas 2045.The article searches through the Google Scholar database.It found 4590 journal articles.After inclusion and exclusion done, 12 journals obtained for systematic review.The results found that there is relationship between digital literacy and scientific literacy for Indonesia Emas 2045.The conclusion is the increase of digital literacy, born new learning methods and media that improve scientific literacy.By increasing scientific literacy, learners' creative thinking skills also increase so ability in one of Indonesia Emas 2045 achieved, the creative entrepreneurs.
Bangla News Popularity Prediction Using Machine Learning Techniques

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Physical culture as a component of professional development of students-geologists

The modern paradigm of higher education prioritizes the expansion of a young specialist competence in the profession and a high level of outlook, culture, health, and personal qualities. The content of educational disciplines and physical training, in particular, should correspond to these goals. The problem is that not every physical training lesson at the universities is built, taking into account the future professional activity of a geologist, although the physical culture potential if it is properly organized, is high enough to develop many professional qualities of a future specialist. The work updates the continuous integrated approach to the development of the students’ professional qualities through physical culture both during the classes and in independent work. The authors carried out the survey of students-geologists of the Tyumen Industrial University, which determined the level of physical activity of students (medium), their attitude to their health (most assess it to be good), and the degree of identification of physical education lessons with the acquisition of professionally significant qualities (medium). The paper proposes the options of exercises to develop each quality in the process of physical, intellectual, psychic, and mental activity for the comprehensive self-improvement of students during independent work. In the authors’ opinion, such an approach will increase the goal-setting of students, the desire both to develop professionally in special subjects and recognize the interdisciplinary relations of all elements of the learning environment for their professional growth.
Narrowing the Gap Between Software Engineering Teaching and Corporate Environment

Currently, there is a gap between university education in the area of software engineering and the corporate and industrial environment. In this way, it is necessary to explore new learning models to transmit complex knowledge more quickly and interconnect these different environments. For that, the STEPES-BD was developed on the first half of 2020, in the midst of the COVID-19 Pandemic. In this project, the students have put into practice some concepts from three different undergrad and graduate courses of Computer and Electronic Engineering in the Area of Informatics of the Aeronautics Institute of Technology (Instituto Tecnológico de Aeronáutica – ITA) in Brazil. To approach these different worlds, it was used the Interdisciplinary Problem-Based Learning (IPBL), the Scrum Framework (SF), and also several emerging Information Technologies of public domain. This article aims to present the main results obtained by students in just one semester of 17 weeks, in a collaborative and cooperative manner, allowing them to implement a computer system prototype to help solve a real-world problem of managing health information for the COVID-19 Pandemic. In this article, it is described how the IPBL, the SF, its ceremonies, roles, and artifacts were adapted. The assessment of students experience in the STEPES-BD Project was carried out using the Tuckman Model, extracting quantitative and qualitative results, comparing the results achieved with related works, and acquiring students’ perceptions through project-end questionnaires.
Database Repair via Event-Condition-Action Rules in Dynamic Logic

Event-condition-action (ECA) rules equip a database with information about preferred ways to restore integrity. They face problems of non-terminating executions and only procedural semantics had been given to them up to now. Declarative semantics however exist for a particular class of ECA rules lacking the event argument, called active integrity constraints. We generalise one of these semantics to ECA rules and couch it in a simple dynamic logic with deterministic past.
Challenges in Research Projects on Augmented Reality in the Domain of Mechatronic and Robotic Applications

The team of the Otto Rettenmaier Research Laboratory for Digitalization at Heilbronn University has been working for years on research projects for interaction with robots as well as a mechatronic factory system using augmented reality (and also virtual reality as well as quite simply via mobile devices - keyword BYOD). As AR Device usually a Microsoft Hololens is used, in the VR area a system of HTC Vive is available in the lab. Other mobile devices are smartphones as well as tablets from different manufacturers.A number of different implementation challenges have been identified in the projects, some of which are quite different. As a main issue is certainly the combination of industrial components such as the robots with the systems that are used for the augmented reality applications. The AR applications and systems typically originate from the gaming world and are not aligned with typical industrial communication standards in terms of issues such as data communication and more. As described, one technical hurdle that has emerged is the communication between the interaction devices and the mechatronic systems. In the industrial world - based on the topic of Industry 4.0 and the associated developments - the OPC UA communication architecture has emerged. However, OPC UA -quasi as an industrial standard- is of course established as a standard in entertainment technology.In addition, there are questions about the development environment. This is predetermined on the side of the mechatronic systems by the products from the control technology, but relatively free on the side of the AR/VR applications. The bridge between these worlds must be developed in the projects anyway. The bandwidth of the respective engines for the development of AR/VR applications, on the other hand, is very broad and very dynamic - meaning that the possible range of functions changes with every update.The biggest challenges, however, come from the actual application scenarios based on industrial production. The classical interaction concepts, which are given for example by the respective operating terminals of robots and are known to the user, can only be transferred to the virtual or extended space with great difficulty. Furthermore, the mapping of the actual production environment in the virtual world is of course a very big problem.The article explains the hurdles encountered in the various research projects and the solutions developed in the projects as well as the questions that are still open.
Adaptive Evolution Threshold for Multiscale Dynamic Texture Classification Based on Complex Network

In this paper, we propose an adaptive evolution threshold algorithm for dynamic texture classification. In the method, each pixel of the dynamic texture is mapped into a vertices of the network. Initially, a regular network is obtained by connecting two vertices when the Euclidean distance between their related pixels is equal to or below a given radius. Achieve the dynamic evolution process of the network through the threshold evolution algorithm so as to achieve the multiscale analysis of the dynamic texture. We improve a method to determine the adaptive evolution threshold sequence and combine the topology metrics of the complex network to extract dynamic texture features. Through the experimental results, we can find that the improved method can achieve better results while using fewer features.
A Pose and Style-Invariant Reenactment Technique for Artistic Portraits Using GAN

Face reenactment techniques change the facial expression of a character in a photograph. This technique is very attractive in that it helps in the creation of new content from existing content. Many researchers have been developing face reenactment techniques, including generative adversarial network-based techniques using action unit vectors. However, face reenactment techniques for artwork are still insufficient. Unlike photographs, artwork includes a variety of poses and styles. To expand the existing techniques into the artwork domain, we propose the following technique. First, we use a rotation module to produce robustly qualitive results even in various poses. This rotation makes source portraits with excessively rotated poses frontal, creating a state in which face reenactment techniques are easy to apply. In addition, we use style loss and attention map to maintain the style of the artwork. To evaluate the proposed technique, we objectively and subjectively compare the results of existing techniques with those of our technique. Our metrics include preservation of identity and facial expression, suppression of artifacts, and conservation of artistic style.
Prosecuting rap: can we get racial discrimination out of the courtroom?

Think about the music you listen to, the videos you watch or the games you play.Do they include references to bad behaviour?It might be that there are some lyrics or scenes that you would not be comfortable sharing with your parents because they involve violence, drugs or theft, for example.Now, imagine the police found you had written stories or lyrics about these themes and they used them to help to suggest that you are a criminal.This might sound unfair, but it is a reality some people face in the UK.In dozens of court cases, rap music videos or lyrics are used as evidence that a young person broke the law.Rap music is predominantly a Black youth form of artistry and, consequently, most of the defendants in such cases are young Black people.Eithne Quinn, a professor of cultural studies at the University of Manchester, is an expert on race, justice and culture, and she has shed light on this problem through her research GLOSSARY PROSECUTE -to charge someone of a crime and present evidence against them in court DEFENCE -(in court) the argument that the accused person should not be found guilty DEFENDANT -the accused person in a court of law FAIR TRIAL -a trial that is conducted justly and in which the defendant is afforded their full rights STRUCTURAL RACISM -rules or systems in a society that result in unequal treatment of people depending on their race DISCRIMINATION -treating a person unfairly because of who they are, including in relation to race RAP ARTISTRY -rap skill, quality, craft or creativity PERSONA -a character or role that someone takes on, not the same as and often confused with their true personality FIRST PERSON -narrative voice using the pronoun 'I' BADMAN -an ultra-masculine, often violent persona CRIMINOLOGY -the study of crime, criminals and criminal justice CAMARADERIE -a sense of togetherness and friendship
Industry-University-Research" Collaborative Innovative Compound Talent Evaluation System Design Study and Application

Explore a scientifically compound talent evaluation system which is suitable for the needs of Industry-University-Research Collaborative innovation, to better serve the collaborative innovation activities of various industries and fields. This research upgrading and innovating a method for constructing talent evaluation system based on Industry-University-Research collaborative innovation needs, design and reconstruction the university laboratory talent evaluation system under the background of "New Engineering Disciplines" with this method. This paper demonstrates how to construct a new user group for talent evaluation system, export and transfer their requirements. This paper design and reconstruction of evaluation system, mining of evaluation indicators, visualization of evaluation results, and design of how to use evaluation results. This research case outputs a modularized combination of University Laboratory talent evaluation system, which consists of 5 major modules, 22 secondary indicators and 95 tertiary indicators. The feasibility, validity and innovation of the results of this study were verified by expert review.
Positive Definite Kernels

In data analysis and various information processing tasks, we use kernels to evaluate the similarities between pairs of objects. In this book, we deal with mathematically defined kernels called positive definite kernels. Let the elements x, y of a set E correspond to the elements (functions) $$\Psi (x), \Psi (y)$$ of a linear space H called the reproducing kernel Hilbert space. The kernel k(x, y) corresponds to the inner product $$\langle \Psi (x), \Psi (y) \rangle _H $$ in the linear space H. Additionally, by choosing a nonlinear map $$\Psi $$ , this kernel can be applied to various problems. The set E may be a string, a tree, or a graph, even if it is not a real-numbered vector, as long as the kernel satisfies positive definiteness. After defining probability and Lebesgue integrals in the second half, we will learn about kernels by using characteristic functions (Bochner’s theorem).
Core Elements Impacting Cloud Adoption in the Government of Saudi Arabia

The Kingdom of Saudi Arabia is taking rapid steps towards digital transformation in the field of government services.Cloud computing adoption may be the next step that supports this digital transformation to providing many features and reducing costs.Therefore, this paper will present multiple factors that may make it difficult to move to the cloud by conducting several interviews and questionnaires with government sector workers, those with technical experience, and that too to take caution and develop suitable solutions in advance.This paper also presents some recommendations and suggestions useful to consider when adopting the cloud in the public sector.
Scratching the Surface of ./configure: Learning the Effects of Compile-Time Options on Binary Size and Gadgets

Numerous software systems are configurable through compile-time options and the widely used ./configure. However, the combined effects of these options on binary’s non-functional properties (size and attack surface) are often not documented, and or not well understood, even by experts. Our goal is to provide automated support for exploring and comprehending the configuration space (a.k.a., surface) of compile-time options using statistical learning techniques. In this paper, we perform an empirical study on four C-based configurable systems. We measure the variation of binary size and attack surface (by quantifying the number of code reuse gadgets) in over 400 compile-time configurations of a subject system. We then apply statistical learning techniques on top of our build infrastructure to identify how compile-time options relate to non-functional properties. Our results show that, by changing the default configuration, the system’s binary size and gadgets vary greatly (roughly $$-79\%$$ to $$244\%$$ and $$-77\%$$ to $$30\%$$ , respectively). Then, we found out that identifying the most influential options can be accurately learned with a small training set, while their relative importance varies across size and attack surface for the same system. Practitioners can use our approach and artifacts to explore the effects of compile-time options in order to take informed decisions when configuring a system with ./configure.
Criteria for formation of new teaching thoughts

How important is the recognition of the paradigm of intensively developing education in a globalizing world of teachers and their activities, directed at its development, it is also important for its mastery by students.The work carried out in the direction of training teachers with a new pedagogical thinking is one of the problems that have a decisive meaning with this point of view.The article is based on the need for innovations in the professional thinking of the teacher in the modern period, with the theoretical point of view, the basic criteria of pedagogical thinking, including the professional professionalism, the professional professionalism.It turns out that, regardless of the fact that they cover all the criteria of pedagogical thinking, they can not reflect in themselves a number of important drawings, such as the criteria of a new pedagogical thinking.On the basis of conducted research were determined and analyzed new criteria of modern pedagogical thinking.Conducted a comparative qualitative and quantitative analysis of the results of the management of the process of formation of pedagogical thinking of future teachers.It turns out that the training of future teachers in the methods of analysis of problem situations, the formulation of the question and its solution has a significant impact on the formation of their new pedagogical thinking.The interpretation of the life of the formation of a new pedagogical thinking of the teacher in the three stages is considered purposeful and effective.
Fuzzy Clustering Prediction and Improvement Path Analysis of University Students’ Physique

It is difficult for traditional methods to enter the fields of biology, psychology, medicine and social sciences because there are too many factors and complicated rules in these disciplines.Complexity and accuracy often exclude each other, but complexity is compatible with inaccuracy, namely fuzziness.Therefore, a new fuzzy clustering prediction method of university students' physique is proposed, and the path of improving university students' physique is analyzed.This paper introduces the five indicators of young students' physique recognized by all countries in the world at present, and obtains the data structure of young students' physique files.Data pre-processing is realized by calculating the average and standard deviation of sample data, standard deviation processing of sample data and normalization processing of sample data.The sample matrix and fuzzy compatibility matrix are established based on the fuzzy clustering of university students' physique samples, and the fuzzy relation is further transferred equivalently.The transfer closure is obtained by matrix auto-multiplication method, and the appropriate cut-off set value is obtained.The similarity coefficients between the samples to be measured and each sample to be measured are calculated.The maximum similarity coefficients are found out and the classes of the samples to be measured are judged.By calculating the average indicator of each fuzzy clustering model, the fuzzy prediction analysis of university students' physique can be realized in two stages.On the basis of the above analysis, universities should promote the physical health level of university students in an all-round way by improving the physical function of campus natural environment, improving the scientific nature of sports facilities, carrying out physical education reform, cultivating students' scientific sports concept and good behavior habits.The experimental results show that the proposed method can effectively make clustering, and the purity and accuracy of clustering are high.