Reviewerly/exHarmony huggingface dataset:
AHP Evaluation Algorithm based on Balanced Data Mining Algorithm for Kindergarten Teachers Equipped with Intelligent Hardware

In order to make the teaching quality evaluation model of colleges and universities more democratic, more scientific and reasonable, and to eliminate the interference of human subjective factors, a reasonable model of teaching evaluation can be established through the analytic hierarchy process (AHP). The key factors affecting the staffing of kindergarten teachers are analyzed from three aspects: the social level, the government level and the kindergarten level. Finally, the guarantee measures to promote the reasonable allocation of kindergarten teachers are put forward: breaking the dual structure of urban and rural education, and coordinating the development of urban and rural preschool education. The load intensity of these clusters is predicted according to the time series, and then the EF88 algorithm is used to dynamically allocate them to each real cluster system. server, so that the entire system load balance. The experimental and analytical results show the effectiveness of the method.
Security Management in Decentralized Cloud Storage via Improved Bees Swarm Optimisation Data Slicers

In a network-based model referred to as cloud storage, virtual records are stored in logical pools across multiple servers owned and controlled by cloud service providers. In the cloud, everyone can access on-demand resources like applications, data storage, and servers that can be increased or decreased as needed with ease and efficiency. Slicing data into smaller chunks can be useful for protecting privacy and distributing the workload across the server more evenly. It is through the compiler and a distributed system with an untrusted host that programmes are statistically explained and then transformed to ensure data confidentiality and integrity. This research work deveop an optimization algorithm using improved bees swarm optimization (iBSO) to solve the problem of trust uncertainty while computing the trust between the nodes. Initially, in a distributed system, the encrypted polynomial data is divided into n slices and stored on various servers. To get to the actual polynomial information, the attackers need to get all n slices of the data. The server administrator has access to all of the indexes on the server where the data slices are kept. When retrieving the original polynomial, an administrator can easily access all of the data slices. The simulation is conducted to test the efficacy of trust-based computation using iBSO algorithm and the results show that the iBSO method achieves higher accuracy rate than other methods.
Intelligent Scene Design for Deepening Legal Education in Colleges based on Computer Multimedia Immersive Display of Intelligent Environment

This requires integrating the elements of the rule of law into the campus and building a campus culture of the rule of law that promotes the spirit of the socialist rule of law. This article starts from the basic connotation, and explores a reasonable optimization path through in-depth analysis of the problems and reasons existing in the construction of legal spirit and culture in colleges and universities. This paper studies the smart intervention methods and implementation strategies of the open and interoperable multimedia teaching environment, and builds a "3 points, 5 dimensions and 7S" smart intervention model, trying to provide sustainable, evaluable, and decision-making ideas for the teaching wisdom management system from application to service.
Research and analysis of sensor synergy based on Artificial Intelligence

Sensor network is an application-based network. wireless communication network, it has the characteristics of large node scale, self-organizing multi hop, unattended, no communication infrastructure and so on. In order to understand the concept of sensor collaboration, let’s first understand what artificial intelligence is. The basic idea of artificial intelligence is that it can solve complex problems by using the ability of computers and other devices. It has existed for a long time, but only recently have we seen it applied to medical treatment, education, transportation and other fields. Experts said that artificial intelligence will soon become an indispensable part of our lives and will be able to solve many problems facing mankind. The ability to leverage these technologies has prompted some companies to develop applications using these technologies. Guided by artificial intelligence (AI), his paper summarizes and discusses the research status of energy consumption in wireless sensor networks at home and abroad.
An image denoising method based on depth learning

In this paper, image noise reduction research is carried out based on in-depth learning. In specific life, due to the lack of perfection of equipment and system, the image will often be polluted by more noise, resulting in unclear image details and reduced image clarity. Better image display ability can be obtained when BP neural network is used to denoise the image. Through the research on the activation function and optimization network function based on weighted neural network (CNN), combined with multi feature extraction technology and other in-depth learning models, we can learn and extract the important features of the input image. At the same time, we propose CNN back propagation optimization algorithm. At the same time, the training speed of the model is improved and the convergence speed of the algorithm is accelerated. Based on the deep residual learning of convolution network, the algorithm is used to remove the noise in the model. This is a better image denoising network model. Compared with other excellent denoising algorithms, the analysis and comparison show that the optimized denoising algorithm can not reduce the clarity of the image. At the same time, the image noise pollution is greatly improved and the image details are clearer.
Analysis of Online Shopping Time Series Model Based on Data Analysis

With the rapid development of information technology, the network has gradually penetrated into People’s Daily life. The rapid development of e-commerce, especially the network shopping, can let more and more netizens shop online conveniently. In this paper, our team is invited by Sunshine Company to analyze the product reviews to help it improve products and develop a reasonable sales strategy. Firstly, we preprocess the data. We delete irrelevant product reviews and make team frequency statistics on the text review. Secondly, in order to quantify the content of review, we use the statistical method TF-IDF to manually screen out 20 specific quality descriptors of text-based reviews and calculate the corresponding weights. In order to measure the emotional tendency of each review, we take a weighted average of the weight of adjectives in each review. At the same time, according to the length of the text, we calculate customer’s Attitude-Score. According to the results of model I, we evaluate Star-Score, Helpness-score, Review-score and Vine-Score linearly with different weights. The reliability of the model is tested by sensitivity analysis. Therefore, our model is applicable to most products reviews. Finally, in order to study the changes of product’s reputation over time, our team build Time Series Model.
Hyper-listening and co-listening: Reflections on sound, selfhood, and solidarity

Hyper-listening revolves around listening as a conscious act to compassionately and holistically engage with the self and to meditate on the inner process of vibrating, more in a metaphorical and mindful sense than corporeally. The workshops aim to mobilise the idea of hyper-listening and co-listening practiced both as a personal development and community art practice in collaboration with other participants. The acoustic architecture of a city is a flux of sonic textures, signals, functional and navigational sounds, language, and sonified human-machine assemblages, subject to constant change over time. Hyper-listening and co-listening are concepts and experimental forms of listening that operate as a set of exercises and collaborative acts intending to encourage listening without judgement. The sense of subjectivity focuses on memory and reflections that arise from situated listening, connecting with each other by nurturing an acoustic solidarity. Going inwards through listening to self builds the capacity for engaging outwardly.
Supporting university students’ learning across time and space: a from-scratch, personalised and mobile-friendly approach

Purpose The purpose of this study is to evaluate the use and effectiveness of a bespoke mobile learning resource, Pocket Tutor. This resource responds to a number of teaching and learning challenges within the tertiary education context. These include those related to the number and type of learning activities that can be offered, class pacing, subject-specific content considerations and the availability and quality of off-the-shelf learning resources. Educators have to potentially contend with all of these amidst mounting institutional constraints and external pressures. Yet, a supplemental, from-scratch online learning resource can help mitigate some of these challenges. Design/methodology/approach This study presents the successes and challenges of introducing a mobile learning resource, Pocket Tutor, to bolster autonomous learning in a supported university learning environment. Pocket Tutor was designed and developed in 2019 and integrated in 2020 and 2021 into a multimedia design class offered at a large university in the Asia-Pacific. The resource’s effectiveness is measured against common technology acceptance factors – including self-efficacy, enthusiasm and enjoyment in relation to contextual purpose and class learning outcomes – through a multi-pronged approach consisting of a class-wide survey, developed specifically for this purpose and analysis of usage data. Deeper context was also provided through a small pool of follow-up interviews. Findings Evidence from this study’s data suggests that a bespoke, mobile-learning resource can provide greater consistency, more relevance, more flexibility for when and where students learn and more efficiency with limited opportunities for synchronous interaction. At the same time, a bespoke mobile-learning resource represents a significant investment of skill and time to develop and maintain. Originality/value This study responds to calls from scholars who argue that more research (especially that is qualitative and discipline-specific) is needed to investigate students’ willingness to use learning apps on their mobile devices. This study pairs such research about student willingness with actual usage data and student reflections to more concretely address the role of mobile learning resources in higher education contexts. This study also, importantly, does not just assess perceptions and attitudes about mobile learning resources in the abstract but assesses attitudes and usage patterns for specific generic and bespoke mobile learning resources available for students in a specific university class (thereby providing discipline-specific insights). This study also provides a unique contribution by including multiple years of data and, thus, offers a longitudinal view on how mobile-learning resources are perceived and used in a particular higher education context.
Are VR headsets effective in reducing dental anxiety?

The gold standard for the treatment of a specific phobia is cognitive behavioural therapy in the form of exposure. The latest form of this treatment is virtual reality (VR) exposure therapy. During this therapy, an individual is confronted virtually with the stimulus he or she fears instead of in vivo. Research has demonstrated virtual reality exposure therapy is an effective treatment method for treating anxiety disorder, social anxiety, fear of flying, vertigo, arachnophobia and post-traumatic stress disorder. On account of the positive results in treating phobia with virtual reality exposure therapy and the high prevalence of people with dental anxiety, research has been carried out on its effectiveness with this category of patients. This has demonstrated that the therapy can reduce treatment anxiety and avoidance. It also revealed that after 6 months patients no longer showed characteristics of specific phobia and were able to undergo standard dental treatment. De gouden standaard voor de behandeling van een specifieke fobie is cognitieve gedragstherapie in de vorm van exposure. De nieuwste vorm hiervan is virtual reality exposuretherapie. Tijdens deze therapie wordt een persoon geconfronteerd met zijn of haar gevreesde stimulus in een virtuele omgeving in plaats van een in vivo-setting. Uit onderzoek is gebleken dat virtual reality exposuretherapie een effectieve behandelmethode is voor de behandeling van een paniekstoornis, sociale fobie, vliegangst, hoogtevrees, angst voor spinnen en een posttraumatische stressstoornis. Vanwege de positieve resultaten van behandeling van fobieën met virtual reality exposure-therapie en de hoge prevalentie van mensen met een specifieke fobie voor de tandheelkundige behandeling, is onderzoek gedaan naar de effectiviteit hiervan bij deze patiëntencategorie. Hieruit is gebleken dat de therapie behandelangst en vermijding kan verminderen. Ook hadden de patiënten na 6 maanden geen kenmerken van een specifieke fobie meer en konden zij een reguliere tandheelkundige behandeling aan.
Data science in the library: tools and strategies for supporting data-driven research and instruction

"Data science in the library: tools and strategies for supporting data-driven research and instruction." Journal of the Australian Library and Information Association, 71(4), pp. 413–414
An Efficient Phishing Website Detection Plugin Service for Existing Web Browsers Using Random Forest Classifier

An Efficient Phishing Website Detection Plugin Service for Existing Web Browsers Using Random Forest Classifier
The Study Of Factors On Job Performance Of A Forensic Handwriting Expert: The Case Of Mongolia

Influence of professional skills, technique and equipment, satisfaction, training and development, behavior, and engagement on the job handwriting in the National Institute of Forensic Science of Mongolia (NIFS). To accomplish the determined aim of our study research we collected data through a structured questionnaire from 71 forensic handwriting experts, who work in the center, capital city, and province, researchers of NIFS and University of internal affairs, Mongolia, and other experts. We analyzed 6 hypotheses in May-June 2022, and result determined two positive relationships and four negative relationships, estimated via SMART PLS 3.0 and SPSS 24.0.
Website-Based Clinic Queue Information System

&lt;p&gt;&lt;strong&gt;One of the computer-based information systems is a website. Along with the development of technology, the website has become a fast way for people to get information and is also easily accessible. Dissemination or delivery of information carried out on online information systems can be accessed by anyone and anywhere with the condition that they are connected to the internet network. The purpose of this research is that people no longer need to go back and forth just to take the clinic queue number. The development methodology used is the SDLC (System Develop Life Cycle) method with the waterfall process model until the testing stage. The programming language used is PHP and the database uses MySQL. The expected result is to make the registration process easier, from initially having to queue first to register, then now being able to register through the website without having to go back and forth to the clinic just to queue to register.&lt;/strong&gt;&lt;/p&gt;
Website-Based E-Learning Management System Case Study at SDN Cijantung 02

&lt;p&gt;&lt;strong&gt;The development of information technology is increasingly sophisticated not only as a communication tool, but is used as a medium to support teaching and learning activities, many educational institutions including elementary schools have implemented information technology in the learning process through the web, one of which is known as e-learning. E-learning is education that uses an electronic system that supports the development of teaching and learning activities with internet media or other computer network media. With the existence of e-learning, the teaching and learning process becomes simple where students and teachers do not have to meet face to face. The method used is data collection methods, namely observation, interview and literature study. &lt;/strong&gt;&lt;strong&gt;In this study, a waterfall model is used, one of the models in the SDLC (System Development Life Cycle). This waterfall model includes several stages in software development, such as: Analysis, Design, Coding, Testing, and Maintenance. This system is built using the PHP programming language with PHPMyadmin as administrator and MySQL for the database. &lt;/strong&gt;&lt;strong&gt;The results of this study can be used and applied to support teaching and learning activities and can facilitate teachers and students, besides that students can access subject matter doing assignments or exercises via the web anytime anywhere according to their needs.&lt;/strong&gt;&lt;/p&gt;
Exploring the ICT Competence of Cervantes District Teachers: Springboard for Extension Program

Information and Communication Technology (ICT) is of great significance in Education. This descriptive-correlational study was conducted to determine the profile of the respondents in terms of age, educational attainment and plantilla position; the level of ICT competence level of teachers along technology operations and concepts, social and ethical, pedagogical, and professional competencies; the significant relationship between their profiles and ICT competence level; and the training design that can be developed based on the results. This involved 120 teachers in Cervantes District, Cervantes, Ilocos Sur. Results showed that teachers’ ICT competence in general is at competent level.Age, educational attainment and plantilla position have significant impact on the ICT skills of the teachers. Thus, the mentioned profiles are strong predictors of the ICT competence of teachers.The paper forwards the necessity to develop a training design that could enhance the competence level of teachers especially in the professional domain. Profiles should be considered in conducting capability buildings to warrant more successful results. Future studies may be conducted to look closely into the significant differences of the level of ICT competence of the teachers in the district to determine groups who are really in need of the capability building to extend.
To Speak or Remain Silent: The Case of Reporting Crime Victimization to the Police

This study was conducted to determine the factors influencing the victim’s decisions to report to the police and the victim’s coping mechanisms after the process of victimization. The qualitative-case study research method was used. An adopted interview guide was used as the primary data-gathering instrument, and thematic analysis was used in analyzing data. There were six (6) participants who participated in this study. The purposive sampling method was used in choosing the participants. Results of the study revealed that victims have reasons to report and not to report their victimization to the police. It comes from several factors stemming from personal which the victims seek justice, fear, socio-economic status; police factor which includes trust in the police and lack of evidence, and sociological factor which is the influence of known people. Victims’ coping mechanisms are emotion-focused coping; avoiding reminders of crime and getting support.Reporting of crime to the police is a behavior that is dependent on several factors. Reporting of crime to the police is a behavior that is dependent on several factors. Depending on the factors, the crime can either be reported or not. Victims decide whether to seek help from the police, to seek a private solution, to re-evaluate the situation, or to do nothing at all. The factors that may influence a person to report or not to report a crime reflects societal problems hounding not only the police but the communit as a whole. The victim’s decision to report their crime victimization is necessary for the quest for more balanced yet effective measures to address actual crime situations. Victims use many possible coping strategies at their disposal and their choice of strategy which is a combination of cognitive skills in problem-solving, history, and individual personality variables. These coping mechanisms will help them get over their crime victimization.
OPPORTUNITIES GAINED BY PARENTS AND EARLY CHILDHOOD EDUCATORS FROM VIRTUAL LEARNING.

In most countries, schools, training facilities, and higher education institutions have been forced to close as a result of lockdown and social isolation measures brought on by the COVID-19 epidemic. Teachers are now delivering high-quality instruction through a variety of online channels, which represents a paradigm change. Despite the difculties faced by both teachers and students, online learning, distance learning, and continuing education have emerged as the cures for this unparalleled worldwide pandemic. With few or no other options available, learners and educators may nd the switch from traditional face-to-face learning to online learning to be a totally new experience. A total Sample of 150 (75teacher and 75 parents of early childhood years) were studied to nd out the opportunities of virtual learning. Result reveals that various opportunities were gained such as less movement in between class, learn innovation ways, more comfortable environment, try new tools, greater ability to concentrate, improve technical skills, exibility of attending class, not required for proper physical attention. However, a signicant proportion of highly educated parents and educators reported of gained more opportunities in virtual learning.
DISEASE DETECTION BY ABNORMALITIES IN ERYTHROCYTE USING IMAGE PROCESSING

Erythrocytes, also known as RBCs, are biconcave disks having diameter of 7 to 8 μm. The size, shape and number of RBCs can affect person's health. In laboratories the analysis of blood cells is carried out by human observations. The classical manual methods are time consuming and not precise. This paper gives an algorithm for automatic classication of microscopic blood smear images as normal (normocytic) or abnormal (Microcytic) based on Red blood cells. Different image processing techniques are used for feature extractions and classications. Slides are prepared and primed to sense the count of “parasitemia” beneath BX53 Olympus microscope. Images obtained by placing the high-denition 1024x1360 resolution camera. For dataset, 40 samples from each normal person and abnormal person were collected. Various image processing techniques such as DWT, Pixel count ratio and histogram for feature extraction and LDC, QDC are used for classication. LDC classier gave 91 % and QDC classier gave 89 % accuracy for the feature vector of pixel count ratio of binary image
There are only a finite number of excluded minors for the class of bicircular matroids

We show that the class of bicircular matroids has only a finite number of excluded minors. Key tools used in our proof include representations of matroids by biased graphs and the recently introduced class of quasi-graphic matroids. We show that if $N$ is an excluded minor of rank at least ten, then $N$ is quasi-graphic. Several small excluded minors are quasi-graphic. Using biased-graphic representations, we find that $N$ already contains one of these. We also provide an upper bound, in terms of rank, on the number of elements in an excluded minor, so the result follows.