Reviewerly/exHarmony huggingface dataset:
Global software development agile planning model: challenges and current trends

Agile planning offers a number of benefits that make the customers active members of the team throughout the project. In global software development (GSD), geographic separations demand special attention to harness these benefits. Our paper conducted a systematic mapping study (SMS) to analyze GSD-specific agile planning challenges followed by a systematic literature review (SLR) for efficient solutions. These studies led to a model for agile planning in global software development supporting GSD practitioners during this process.
Cloud computing: an efficient load balancing and scheduling of task method using a hybrid optimization algorithm

&lt;p&gt;The cloud computing trend on the internet is vital as it allows data and applications to be managed over the internet instead of requiring personal devices. The job of users is scheduled in the resources of the cloud in order to improve performance. Schedu ling tasks is an non - deterministic polynomial (NP) - hard problem, as it may have multiple solutions. Various researchers have proposed different load balancing and job scheduling algorithms to optimize the scheduling process in cloud environments, each with disadvantages. Therefore, this research proposes a novel hybrid load balancing and scheduling of tasks by the whale optimization algo rithm (WOA) and seagull optimization algorithm (SOA) in the cloud. This hybrid proposed whale - seagull optimization algorithm (WSOA) optimizes task scheduling in the cloud b y reducing processing time, response, and execution time, maximizing central processing unit (CPU) utilization, memory utilization, throughput, reliability, and balancing the load. The algorithm is simulated using the CloudSim toolkit package. As compared with existing approaches, simulation results showed better performance in terms of response time, processing time, execution time, CPU utilization, memory utilization, throughput, and reliability and is analyzed by comparing with the harries hawks optimiza tion (HHO), hybrid dragonfly and firefly algorithm (ADA), spider monkey algorithm (SMA) and bird swarm optimization (BSO).&lt;/p&gt;
Use of virtual reality to facilitate engineer training in the aerospace industry

This work concerns automation of the training process, using modern information technologies, including virtual reality (VR). The starting point is an observation that automotive and aerospace industries require effective methods of preparation of engineering personnel. In this context, the technological process of preparing operations of a CNC numerical machine has been extracted. On this basis, a dedicated virtual reality environment, simulating manufacturing of a selected aircraft landing gear component, was created. For a comprehensive analysis of the pros and cons of the proposed approach, four forms of training, involving a physical CNC machine, a physical simulator, a software simulator, and the developed VR environment were instantiated. The features of each training form were analysed in terms of their potential for industrial applications. A survey, using the Net Promoter Score method, was also conducted among a target group of engineers, regarding the potential of use of each training form. As a result, the advantages and disadvantages of all four training forms were captured. They can be used as criteria for selecting the most effective training form.
An Argumentation-Based Approach for Generating Explanations in Activity Reasoning

Human-aware Artificial Intelligent systems are goal-directed autonomous systems that are capable of interacting, collaborating, and teaming with humans. Some relevant tasks of these systems are recognizing human’s desires and intentions and exhibiting explicable behavior, giving cogent explanations on demand and engendering trust. This article tackles the problems of reasoning about activities a human is performing and generating explanations about the recognized activities. For the activity reasoning, our approach is divided in two steps: a local selection and a global selection. The former aims to distinguish possible performed activities and the latter aims to determine the status of the recognized activities. For local selection, from a set of observations, a model of the world and the human is constructed in form of hypothetical fragments of activities, which are goal-oriented actions and may be conflicting. Such conflicts indicate that they belongto different activities. In order to deal with conflicts, we base on formal argumentation; thus, we use argumentation semantics for identifying possible different activities from conflicting hypothetical fragments. The result will be consistent sets of hypothetical fragments that are part of an activity or are part of a set of non-conflicting activities. For global selection, we base on the consistent sets of hypothetical fragments to determine if an activity is achieved, partially achieved, or not achieved at all. Besides, we determine the degrees of fulfillment of the recognized activities. Regarding the explanations generation, we generate two types of explanations based on the outputs of the global selection. We apply our proposal to a scenario where a man performs different activities. Finally, we make a theoretical evaluation of the explanation generation.
Virtual site visits in Construction Management education: A practical alternative to physical site visits

Construction site visits and hands-on experiences are among the important instruments for educators in construction engineering and management to provide students with valuable knowledge and more engaging learning experiences. However, in addition to its existing logistical challenges, the COVID-19 pandemic has made site visits even more inaccessible as in-person classes and site visits moved to distant learning or got canceled. In a distance education system, conducting a physical site visit is not an easy task. This study focuses on the use of virtual site visits in construction and experiencing virtual hands-on training using immersive videos. Three types of video formats were used as the main content delivery methods in this pilot study namely, 2D flat, 360-degree, and 180-degree 3D videos. This method was adopted and tested in two courses that were previously face-to-face, which were then shifted to an online format due to the COVID-19 pandemic. The use of immersive videos gave students who would not have the ability to experience a physical site visit, the opportunity to experience the construction site environment and receive educational direction during a pre-recorded, hands-on, immersive video project. The goal of this study is to understand students’ experience with the provided technology, necessary improvement, implications for future research, and the potential implementations of this technology. A costume set of questionnaires was designed to retrieve students’ feedback on their experience which includes a comparison of different content delivery methods and four other study measures: knowledge retention, sense of presence, user experience, and overall satisfaction. Multiple statistical analyses were conducted on the collected data to provide both descriptive details and further insight into the study parameters and their relationship with each other and between different parameters.
Personality Type Of Efl Learners On Reading Comprehension At Smp N 2 Tapian Dolok

This research aim to investigate the personality type of EFL learners on reading comprehension at SMP N 2 Tapian Dolok. This research method is design as qualitative. The sample of research is taken from IX-2 class that consist of 9 to purposively. The characteristics of the sample are three learners with the highest average scores, three learners with middle average scores, and three learners with the lowest average score. The technique collecting data is interview. The researcher gives some question to the learners and the total questions of question are eight question. The questions are related to the personality type in reading comprehension. The result of this research showed that personality types of learners are different. The researcher found extroverted personality is less often than introverted personality.. From the nine learners, 3 learners are extroverted Personality and 6 learners are introverted personality. The learners with extrovert personality type get higher score on reading comprehension than introvert personality type.
What Packages Are in Your Mobile Device?

Abstract Presentation slides for the ISTFA 2023 Tutorial session “What Packages Are in Your Mobile Device?.”
The Relation between Agility Audit, Risk and Compliance for Financial Performance in UAE Public Companies: An Empirical Study

The current study has been concentrated only on listed government-owned companies in UAE because of the recent corporate frauds and imprisonment and punishment by the courts of UAE. The sample of the study depended upon 60 listed government-owned companies during the period from 2018 to 2022. The study concluded that (Agility audit imposes considerable influence over financial Performance, Risk management has a prominent impact over financial performance and Compliance with accounting standards has significant impact on financial performance. This result like some previous studies that conducted in different contexts. On the other hand, IFRS compliance is strongly connected with FP according to previous studies. Keywords: Agility Audit – Risk – Compliance – Financial Performance
Deploying Nagios for Service Monitoring and Reporting

NAGIOS is Server Monitoring tool as an important criteria coming to a data center operation and service .Detects all type of network errors or server issues and allowed to monitor the server performance issues by using Nagios. This can be manually and physically monitoring the location of the server and mapping the network interface and network bridge server will be monitor. Count every 10 minutes once the application will be running properly or else store application related bugs in data center. Large organizations always require fast and efficient network monitoring system which reports to the network administrator as soon as a network problem arises. This paper presents an effective and automatic network monitoring system that continuously monitor all the network switches and inform the administrator by E-MAIL or SMS when any of the network switch goes down. An efficient and automatic network monitoring is always required for large organizations like universities, companies and other business sectors where the manual network monitoring is very difficult. Since large organizations have a big network topology, the manual network monitoring causes waste of time to point out problem location.
Quantum Alphatron: quantum advantage for learning with kernels and noise

At the interface of machine learning and quantum computing, an important question is what distributions can be learned provably with optimal sample complexities and with quantum-accelerated time complexities. In the classical case, Klivans and Goel discussed the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>A</mml:mi><mml:mi>l</mml:mi><mml:mi>p</mml:mi><mml:mi>h</mml:mi><mml:mi>a</mml:mi><mml:mi>t</mml:mi><mml:mi>r</mml:mi><mml:mi>o</mml:mi><mml:mi>n</mml:mi></mml:math>, an algorithm to learn distributions related to kernelized regression, which they also applied to the learning of two-layer neural networks. In this work, we provide quantum versions of the Alphatron in the fault-tolerant setting. In a well-defined learning model, this quantum algorithm is able to provide a polynomial speedup for a large range of parameters of the underlying concept class. We discuss two types of speedups, one for evaluating the kernel matrix and one for evaluating the gradient in the stochastic gradient descent procedure. We also discuss the quantum advantage in the context of learning of two-layer neural networks. Our work contributes to the study of quantum learning with kernels and from samples.
IMAGE OF THE CHILD IN THE MINDS OF FUTURE TEACHERS

Relevance. The article shows that the adequate holistic image of the child is a necessary condition for successful pedagogical activity. Purpose is to study the actual image of the child in the minds of students who are beginning to prepare for pedagogical activities. Research methods and sample. The study was conducted during the seminar by the method of content analysis of associations with the image of the child in students who chose a teacher career. Work on the concept of “Child” was based on the principle of actualization of students’ associations with the image of the child. Students developed their associations, presented them at the general plenum. The discussion was based on the principle of highlighting the main / general, unexpected / singular in the ideas about the child, the risks and resources of modern childhood Main results. The main characteristics of the child’s image obtained in the course of content analysis are: . a scarce approach to the child as a non-reliable, immature being; . the child’s dependence on others, adults with parents mentioned very rarely; . lack of interconnection of children, absence of the category of friendship and “horizontal” ties; . understanding the child as a contradictory and complex being; in this approach, the value judgments of “good-bad” are strong; .the child as a real developing subject, revealing potential. The main risks for the development of the child, according to students are: . risks associated with various types of violence against the child: physical, verbal, pedagogical; . fear, fearfulness, anxiety, uncertainty, helplessness; . external negative circumstances of life: instability, injustice, negative people and the development environment, helplessness; . risks coming from the child himself, his youth and inexperience: recklessness, unselfi shness, unwillingness of the child, irresponsibility, closeness. Conclusion. Some approaches to the formation of an adequate image of the child are described.
ROLE OF THE FAMILY IN THE DIGITALIZATION OF CHILDHOOD. INFLUENCE ON ACADEMIC PERFORMANCE

The new generations, unlike the previous ones, have their fi rst encounter with new technologies at an early age. However, there are many myths and realities about their infl uence on academic performance and the behavior of children who later become adolescents and university students. This article proposes an approach to these issues and how they are evidenced in Cuba. We intend to show the necessary parent-school relationship in the digitalization process of childhood and its future impact on student academic performance. To achieve this objective, observation methods and techniques such as interviews and surveys were applied to professors and university students from four Cuban universities. Different age groups were selected, and along with the survey and professors’ criteria, the following conclusions were reached. The use of ICT from an early age can have a positive impact on students’ academic performance. However, it depends on the number of hours and the type of material to which the child is exposed. The role of both the teacher and the family is of vital importance to provide controlled access to information. When arriving at school, children show what they have learned at home. The school, as an educational institution that will develop and enhance their abilities, cannot achieve its objectives without the support of parents. Consequently, the interrelationship between parents and the school is essential for the complete development of the child. Parents should not only transmit theoretical knowledge to the child but also work on the development of social and technological skills that are essential for their future professional life. The development of soft skills such as communication, teamwork, leadership, and problem-solving are key to the child’s future career success.
DIGITAL CHILDHOOD AND NATURE

Digital childhood is a new phenomenon (G.Soldatova). Information technologies have expanded the space of childhood life, created a new situation of development, new forms of interaction with the outside world: children learn about Nature “through” the digital environment and with the help of it. Nature is “a source of cheerful work, wise joy, an inexhaustible need for knowledge and creativity” (N.K. Roerich). To awaken a sense of Nature in children means to arouse one of the most benefi cent soul-educating infl uences (K.D. Ushinsky). Cultivating a sense of Nature - the source of love and attraction to Nature - should be the fi rst and main task of natural science. Breaking away from Nature, we have lost health both physical and spiritual. It is necessary to bring the growing generations closer to Nature, cultivating not a dead science of nature, but a living love for Nature (D.T.Kaigorodov). The communication of modern children with Nature is limited, although such communication is the basis for children’s creativity and the beginnings of ecological culture. The experience of the interaction of society with a natural object, the experience of the feelings and moods of this interaction, socio- psychological incentives: aesthetic and ethical, environmental information that acts as a stimulus through the emotional assessments they cause, and based on the intellectualization of emotions ( S.D.Deryabo, V.A.Yasvin). The child’s mastery of cultural ways of interacting with the world of Nature is one of the targets of the Federal State Educational Standard for Education: “the development of cognitive interests and cognitive actions of the child in various activities”. To prove that the “digit” (ICT) is a cultural tool that contributes to the formation of internal motives for the knowledge of Nature by the Child: curiosity, the joy of knowledge, diligence, has become the goal of our study.
An Analysis of English Students' Learning Motivation Factors in E-Learning Class during Covid-19 Pandemic

This research aimed to investigate English students’ learning motivation in participating online learning through e-learning class at one senior high school in Cirebon and to know the affecting factor of students’ motivation. Qualitative research was used in this research which descriptive qualitative as research design. The source of data was the main data which in the collecting of data was obtained through observation, interview and documentation process. To analysis the data was done through there steps namely data reduction, data display and verification, then the data triangulation and source were used as a means to checking the validity of the data. The results of the research described that the students have a decrease in their motivation for learning because during Covid-19 Pandemic students are more comfortable and enthusiastic in learning by face to face learning rather than online learning through e-learning class, the students have difficulty in understanding the material, learning become less interactive, the delivery of material become less varied and the lack of the teacher in response the students was considered the dominant factors affects English students’ motivation during Covid-19 pandemic.
Computational Linguistics: A Research Survey on Ambiguity and Anaphora Resolution

In this paper we briefly discuss main areas of computational linguistics particularly focus on the problem of ambiguity in computational linguistics. Then we take up the issue of ambiguity with inclusion of term anaphora which is well known in most of the languages and it is seen under pronouns specifically reflexives and reciprocals. In general, we have total five sections in this paper. First section primarily deals with introduction related to the topic and elaborates it in detail. Second section defines ambiguity with its background investigations in relation with computational linguistics. Third section presents detailed study on anaphoric ambiguity with strict sloppy readings at syntax level. Fourth section discusses about anaphora and soon it adds anaphora resolution irrespective of any specific language and most of the work related to anaphora resolution is mentioned from natural language processing point of view. Fifth is the last section where we conclude that ambiguity and anaphora both are difficult tasks for machine translation until unless we don’t train machine (computer) to learn as per given instructions and all.
Entrance-Q bank using Mobile Application Development

A Student life is all about gaining knowledge and implementing it. We have many competitive exams out there and students explore themselves and chooses the path as per their interests and skills. Entrance Q-Bank is the best to proceed. It helps you to find previous years question papers where you could test and practice accordingly It is nothing but treasure, so if you can get your hands on previous year papers then it is no less than a hitting a lottery. It manages your time efficiently. It also makes you confident during exams. We choose this as our project because, instead of laying hands on different websites, having an app makes it more advantageous and time saving. On the whole, we hope to implement an app which saves time and make you more confident. We created this application with Android Studio, XML for the User Interface and Java for the backend.
DALL. E 2

DALL.E 2 is a language model developed by OpenAI, which builds on the original DALL.E model. DALL.E is a neural network that can generate images from textual descriptions, allowing users to input written prompts and receive corresponding images. DALL.E 2 is an improved version of this technology, which has been trained on a larger and more diverse dataset, allowing it to generate more complex and varied images. DALL.E 2 can generate a wide variety of images, including objects, scenes, animals, and more, and can produce images that are surreal, humorous, or just plain bizarre. DALL·E 2 can understand the meaning of text and create images that match that meaning. This technology has many potential applications, from creative visual art to product design and advertising.
Fortifying Data Availability and Security in Cloud Servers Via Verification Protocols

Distributed computing networks play a significant role in contemporary computer architecture, facilitating the processing, analysis, and storage of sensitive data. This issue has garnered significant interest in the realm of investigating various encryption techniques. There is a pressing need to establish a dependable and validated security approach that enhances the data-processing efficacy of Cloud servers, as current cryptographic investigations suggest the vulnerability of server-side data security to potential breaches. This paper elucidates the process of implementing a cloud-centric cloud storage architecture and presents a unique security schema that validates the evidence of encrypted secret data storage. The researchers in this paper propose a novel computational security technique to tackle the issue of internal nodes by using efficient security strategies, hence minimizing computational overhead. The experimental results reported in this paper provide evidence of the greater effectiveness of the suggested mechanism in comparison to other commonly used security strategies.