Reviewerly/exHarmony huggingface dataset:
UAV Track Planning Based on Improved Sparrow Search Algorithm

UAV track planning is the planning of a safe and feasible track under environmental threats and its own constraints and is a prerequisite for UAVs to be able to perform a variety of tasks. To enable an unmanned aerial vehicle to quickly plan a safe and reliable track in complex environment, this paper presents an unmanned aerial vehicle track planning algorithm (ESSADE) based on the improved Sparrow Search algorithm. First the digital environment model of UAV flight is established, and the weighting of track length, flight height and turn angle is taken as the target function. Then, for the problem of sparrow search algorithm (SSA) initial population diversity is not rich, convergence rate is slow and easy to fall into the local optimal solution, elite reverse learning strategy is introduced in the SSA algorithm to widen the range of activities of the initial population and improve the diversity of the initial population. Then, the step size control parameters in SSA algorithm are dynamically adjusted to enhance the local search ability in the early stage and the global search ability in the later stage, so as to improve the accuracy of the algorithm. Finally, combined with the dynamic differential evolution algorithm, the sparrow population is divided into two sub populations, and the cross mutation operation is carried out respectively, and then the optimal sparrow is selected as a new species population to speed up the convergence speed, improve the ability to jump out of the local optimal solution and avoid premature phenomenon. The trajectory is finally smoothed by the B-sample difference. The simulation results show that the proposed ESSADE algorithm makes up for the shortcomings of SSA algorithm, and can better complete the track planning task in complex environment. The planned track is shorter, the height is the most stable, and the convergence speed is faster. The effectiveness and superiority of ESSADE algorithm are verified.
Online Nonnegative Matrix Factorization with Temporal Affinity

Online Nonnegative Matrix Factorization aims to learn the nonnegative factorizations of sequential data with temporal learning. Existing methods analyze each instance separately, and independent results are obtained accordingly. In this work, a novel approach to online learning of NMF is proposed, which is able to learn factorizations with temporal affinity of sequential data. Rather than other algorithms, the proposed method attempts to learn the ideal decomposition while reserving the affinities between temporal data. As a consequence, the durable nonnegative patterns can be preserved by the proposed method during sequential learning, and the lost of intrinsic characteristics can be alleviated. Experiments on artificial data sets demonstrate that, the proposed method is able to present fascinating performance compared with the state-of-the-art methods.
Research on the Integration of Digital Literacy into English Classroom Teaching in Higher Vocational Colleges under the Background of Educational Digitalization

In March 2022, the Cyberspace Administration of China, the Ministry of Education, the Ministry of Industry and Information Technology and the Ministry of Human Resources and Social Security jointly issued the "Key Points for Improving Digital Literacy and Skills of the Whole People in 2022". Digital literacy has once again become the focus of widespread discussion in the society. At present, digital technology has been promoted in various fields, and digital literacy has become a necessary requirement for qualified personnel. In order to improve the level and quality of English teaching in higher vocational colleges, higher vocational colleges should be capable of reasonably using digital teaching resources, effectively building digital curriculum resources and platforms to enhance the cultivation of students' digital literacy, and promote the improvement of students' digital literacy comprehensively with high quality.
Modelling Causal Factors of Unintentional Electromagnetic Emanations Compromising Information Technology Equipment Security

Information technology equipment (ITE) processing sensitive information can have its security compromised by unintentional electromagnetic radiation. Appropriately assessing likelihood of a potential compromise relies on radio frequency (RF) engineering expertise-specifically, requiring knowledge of the associated causal factors and their interrelationships. Several factors that can cause unintentional electromagnetic emanations that can lead to the compromise of ITE have been found in the literature. This paper confirms the list of causal factors reported in previous work, categorizes the factors as belonging to threat, vulnerability, or impact, and develops an interpretive structural model of the vulnerability factors. A participatory modelling approach was used consisting of focus groups of RF engineers. The resulting hierarchical structural model shows the relationships between factors and illustrates their relative significance. The paper concludes that the resulting model can motivate a deeper understanding of the structural relationship of the factors that can be incorporated in the RF engineers' assessment process. Areas of future work are suggested.
FindMyPet: An Intelligent System for Indoor Pet Tracking and Analysis using Artificial Intelligence and Big Data

Pet tracking has been an important service in the pet supply industry, as it is constantly needed by countless pet owners [1]. As of 2021, about 90 million families in the U.S. alone have a pet, that is about 70% of all American households. However, for most owners of smaller pets such as cats, hamsters, and more, not being able to find the pet within the house has been a problem bothering them. This paper proposes a tool to use Raspberry Pi for gathering signal strength data of the blue tooth devices and using Artificial Intelligence to interpret the gathered data in order to get the precise location of the indoor moving object [2]. The system is applied to arrive with the location of pets within the house to an accurate level where the room that the pet is located in is correctly predicted.A qualitative evaluation of the approach has been conducted. The results show that the intelligent system is effective at correctly locating indoor pets that are constantly moving.
The Effect of Parental Attention and Learning Motivation on Learning Outcomes of Elementary School Students

This research goals to find out the effect of parental attention on learning outcomes, learning motivation on learning outcomes, and parental attention and learning motivation on learning outcomes. This quantitative research used the correlation research method. The number of study samples was 260 students. The samples were taken by probability sampling technique with cluster random sampling type. Questionnaire and test techniques were employed in data collection. Meanwhile, SPSS version 25 was utilized to analyze the data. The output revealed that (1) there was an effect of parental attention on mathematics learning outcomes, with a t-count value of 8.228 ≥ t-table of 1.969, an r-count value of 0.485 &gt; r-table of 0.121 and an effective contribution of 21.6%, (2) There was an effect of learning motivation on mathematics learning outcomes, with a t-count value of 3.715 ≥ t-table of 1.969, an r-count value of 0.288 &gt; r-table of 0.121 and an effective contribution of 5.8%. In addition, (3) There was an effect of parental attention and learning motivation on mathematics learning outcomes, with an F-count value of 48.556 &gt; F-table of 3.031, an r-count value of 0.524 &gt; r-table of 0.121 and an effective contribution of 27.4%.
Construction and Application of a Knowledge Graph for Gold Deposits in the Jiapigou Gold Metallogenic Belt, Jilin Province, China

Over the years, many geological exploration reports and considerable geological data have been accumulated during the prospecting and exploration of the Jiapigou gold metallogenic belt (JGMB). It is very important to fully utilize these geological and mineralogical big data to guide future gold exploration. This work collects the original textual data of different gold deposits in JGMB and constructs a knowledge graph (KG) for deposits based on deep learning (DL) and natural language processing (NLP). Based on the metallogenic geological characteristics of deposits, a visual construction method of a KG for deposits and a calculation of the similarity between deposits are proposed. In this paper, 20 geological entities and 24 relationship categories are considered. By condensing the key KG information, the metallogenic geological conditions and factors controlling the ore in 14 typical deposits in the JGMB are systematically analyzed, and the metallogenic regularity is summarized. By calculating the deposits’ cosine similarities based on the KG, the mineralization types of deposits can be divided into two categories according to the industrial types of ore bodies. The results also show that the KG is a cutting-edge technology that can extract the rich information of ore-forming regularity and prospecting criteria contained in the textual data to help researchers quickly analyze the mineralization information.
A Systematic Review on Non-Functional Requirements Documentation in Agile Methodology

This systematic literature review studies and summarizes findings of requirements documentation of non-functional requirements practiced by agile software development teams. It identifies current practices and existing gaps when agile software teams discuss and implement non-functional requirements, and the current methods used to document non-functional requirements. Our aim is to identify available evidence on current practices and gaps in documenting non-functional requirements. The review was conducted by searching major databases for publications between 2018 and 2022. The inclusion and exclusion criteria as well as quality assessment scoring criteria were subsequently established. Results show that common themes in the practices and gaps in requirements documentation by agile teams do intersect although they are scarce. This review has the benefit for practitioners to have a better approach to document the requirements that may result in a more quality software product.
Shared vision-based teamwork cohesiveness: catalyst for organizational commitment and organizational citizenship behavior (self congruence theory perspective)

The study reviews the important role of Shared Vision-Based Teamwork Cohesiveness (SVBTC) in bridging Organizational Commitment (OC) and Organizational Citizenship Behavior (OCB) in employees of an organization. One of the positive behaviors that are expected to grow in an organization is the presence of high OC and OCB in employees. This study confirms that employees who have good OC are not always supported by good OCB through a review of various previous studies. In this study, a catalyst in the form of Shared Vision-Based Teamwork Cohesiveness (SVBTC) is presented from the point of view of Self Congruence Theory (SCT) which is believed to strengthen the relationship between OC and OCB. Applying for a literature review, this study provides a new perspective on the factors that can increase OCB for employees in an organization.
Efektivitas Pembelajaran E-learning Dalam Meningkatkan Hasil Belajar Siswa di Sekolah Madrasah Ibtidaiyah Al-Hikmah Tajur

Education is something that is very important for every human being. Because education can build the quality of a nation, along with the development of increasingly advanced times, science and learning media are also growing The use of learning media such as e-learning, one of which is through web-based learning. In the research conducted by the author, the goal is to find out the effectiveness of e-learning on learning in madrasah Ibtidaiyah Al Hikmah Tajur. The research method used by the author is to use quantitative methods From the results of the author's research that has been described above that the Learning Effectiveness variable (X) is stated that there is no significant influence on the Learning Outcomes (Y) variable which the author has proven with the results that have been described using product moment correlation test.&#x0D; Keywords: Education, e-learning, effectiveness
Gender Analysis of Writing E-Mails Received from Graduate Students at Saudi Universities

The relationships students form with faculty play a critical role in their success at university, it can ease students&amp;rsquo; fears about seeking assistance on assignments and other issues they may encounter. Therefore, e-mails have become an important part of the educational process. Accordingly, this study aims to explore the impact of gender orientation on the language used by Saudi students writing e-mails to their instructors at Saudi universities. The study depends on Media-Richness Theory (MRT). It intends to stay away from misinterpretation or disarray in cross-gender communications and encourage instructors and students to gain more familiarity with common communication styles in Saudi Arabia. MRT is used to analyze three linguistic features, namely abbreviations, emoticons, and word length. This study utilized a quantitative research design. Considering 24 e-mail samples, 12 were received from male students and 12 were from females. Among male students, the findings indicate that abbreviations are used in their e-mail communications but less often by female students. With regards to emoticons, female students tend to use them more frequently than male students. Lastly, in the case of word length, female students appeared with a significant number of words per e-mail, whereas few male students did.
An Unexpected Journey

Unexpected twists and turns on the PhD journey can be directly related to the research itself, while others are related to the experience of the journey. For me, the most unexpected aspects were related to my health and saw me transition from writing and typing to dictating to the computer. This autoethnographic article is based on the lived experience of this unexpected journey and explores the implications for this necessary change in procedure. Implications included learning new processes for writing, transcribing interviews and controlling the computer by voice. Consideration of this experience viewed through Heidegger's ontological concept of being helped ease frustrations brought on by this unexpected twist. Becoming aware of the skills mentioned above may help others with accessibility issues, and reflection on the PhD journey from the perspective of this article may help others make sense of frustrations related to their own experiences.
IMPLEMENTATION OF THE CLASSDOJO PLATFORM AS E-LEARNING MEDIA AT THE KHALIFAH ISLAMIC ELEMENTARY SCHOOL PALU

&#x0D; &#x0D; &#x0D; &#x0D; This study is related to the application of information and communication technology in the field of education, namely the use of digital learning media classdojo in elementary school. This research focuses on how to implement calassdojo as an e-learning medium at the Islamic Elementary School of the Khalifah Palu? Its aim is to reveal the application of classdojo as e-learning platform to digitally shape and monitor behavior and achievement of students in learning. This research uses a qualitative method with a case study approach through data collection techniques; namely: interviews, observations and documentation. The findings of this research indicate that the process of applying classdojo in the learning process for the first class students at Islamic Elementary School of the Khalifah Palu is running well according to the operational standards of this application. The indicators are reflected in students' proficiency in using the classdojo application while participating in e-learning with digital communication tools, such as: undroid, tablet, and account. In addition, through the classdojo application, teachers and parents can control learning activities, behavior and students’ achievements directly on the feature menu that has been made at the planning stage. The use of the classdojo platform received positive responses from teachers, students and parents as well as reflecting the digital literacy culture of students at the Islamic Elementary School of the Khalifah Palu.&#x0D; &#x0D; &#x0D; &#x0D;
Programming Techniques for Considering m Desired Conditions from n Possible Conditions

The performance of computer programs (or the hardware that can be programmed such as IoTs, embedded computers, and PLCs) is generally based on the complexity of the particular program development technique. High complexity often uses more execution times and system resources. For this reason, the computer program is less computational complexity to be desired. The conditional statements tell computers what certain information is a major cause of computer program complexities, e.g., considering m desired conditions from n possible conditions. To achieve this aim in computer programs, the data combination is often utilized. However, it is high complexity. Moreover, they cannot give that one condition takes precedence over others. To rid these vulnerabilities of combined conditions, a simple programming technique for considering m desired conditions from n possible conditions is proposed in this work, which is based on the summation of the condition weights. It only has the complexity of search spaces and data constructions to be O(n) and each condition can be set to be different precedence from the others. Furthermore, the proposed technique is evaluated by extensive experiments. From the experimental results, they indicate that the proposed technique is more effective and efficient than the comparative technique.
Personnel Cooperation Between University and Industrial Partners in the Context of Youth Career Development

The article has a research, practice-oriented nature and analyzes the problems of professional development and building a career trajectory of graduates through the prism of the personnel partnership of university and the business community. The purpose of the article is to explore the personnel cooperation between university and industrial partners in the context of professional development tracks and, in the light of this, develop a cyclogram of youth career development.The article presents the results of the study of factors influencing the formation of a career trajectory from the position of students of Orenburg State University (2022). The practice of implementing the formats of personnel partnership of the university and employers of Orenburg State University, including various activities within the framework of building the trajectory of professional and career development of a future specialist, is analyzed.The authors propose recommendations for the development of a cyclogram of students’ career development, improvement of the efficiency of interaction between the university and personnel partners by creating a student association of professional development focused on enhancement of career guidance activities at university, identifying creative, scientific, and entrepreneurial potential of students, developing skills necessary to increase competitiveness in the labor market, assistance in career planning and building of university students and graduates.
A Simple Neural Network for Detection of Various Image Steganography Methods

This paper addresses the problem of detecting image steganography based in JPEG files. We analyze the detection of the most popular steganographic algorithms: J-Uniward, UERD and nsF5, using DCTR, GFR and PHARM features. Our goal was to find a single neural network model that can best perform detection of different algorithms at different data hiding densities. We proposed a three-layer neural network in Dense-Batch Normalization architecture using ADAM optimizer. The research was conducted on the publicly available BOSS dataset. The best configuration achieved an average detection accuracy of 72 percent.
Generative Approach to the Automation of Artificial Intelligence Applications

In order to use the full power of artificial intelligence, many are required to navigate through a complex process that involves reading and understanding code. Understanding this process can be especially intimidating to domain experts who wish to use A.I to develop a project, but have no former experience with programming. This paper develops an application to allow for any domain expert (or normal person) to gather data, assign labels, and train models automatically without the use of software to do so. Our application, through a server, allows the user to send HTTP API requests to train models, upload images to the database, add models/labels, and access models/labels.
Scrutable Robot Actions Using a Hierarchical Ontological Model

We place ourselves in the context of representing knowledge inside the cognitive model of a robot that needs to reason about its actions. We propose a new ontological transformation system able to model different levels of knowledge granularity. This model will allow to unfold the sequences of actions the robot performs for better scrutability.
PENGARUH MOTIVASI BELAJAR DAN MINAT BELAJAR TERHADAP KEMAMPUAN MENULIS KARYA ILMIAH SISWA

The purpose of this study was to determine the effect of motivation and interest in learning on the ability to write scientific papers. The effect of learning motivation and interest in learning shape the ability to write scientific papers. The research method used is a survey method. The sample is randomly selected, 65 students. Data collection was carried out by direct observation techniques and by distributing questionnaires. Data analysis used statistics, namely correlation test, coefficient of determination, and regression test. The results of the multiple linear regression test obtained the following equation: Y = 80,623 + 0,065 X1 + 0,086 X2. The influence of the learning motivation variable (X1) is 44,5%, and the influence of the learning interest variable (X2) is 26,9%. These calculations show that the influence of learning motivation is greater than interest in learning. Then, from the calculation of determination, R square or coefficient of determination of 0,020 means that 20% of the ability to write scientific papers is influenced by learning motivation and interest in learning meanwhile other variables outside the equation influence the rest.
MELIHAT SASTRA ANAK DUNIA SEBAGAI ALAT PERJUANGAN IDEOLOGI

From a critical perspective, children's literature is considered a public discourse. It is a collection of ideas championed in the public sphere about something happening or being discussed that forms a particular point of view. Children's literature often becomes a tool of ideological struggle. The authors, primarily adults, consciously or unconsciously, tend to impose certain ideologies on young readers. So, children's literature is constantly exposed to a specific ideology. Researching children's literature is essentially revealing the ideology championed by the author. In this qualitative study, data were collected from research on children's literature which was utilized as a means of struggle or the cultivation of certain ideologies. The results show that there are at least seven world children's literature groups that are used as a tool for ideological struggle: (1) naturalizing the ideology of racial domination, (2) naturalizing heroic stories, (3) debating controversial historical stories in the past, (4) fighting for environmental ideologies, (5) comparing competing state ideologies, (6) forming ideological criticism, and (7) naturalizing critical perspectives and awareness.
What Is SQL Server Audit?

SQL Server Audit is built-in auditing functionality available via SQL Server Management Studio GUI or SQL scripts. You can set it up and configure it to capture pretty much anything that happens on SQL Server. It’s quite flexible and easy to set up. This chapter helps you to understand the options associated with SQL Server Audit.