Reviewerly/exHarmony huggingface dataset:
LibGuides: Romance - A Young Adult Lib Guide for Teens: Home

This guide serves as a cohesive resource for young adults seeking authentic, diverse representations of romance lit, specific to encompassing and incorporating the ups and down of young love.
Technical Report: A Stratification Approach to Partial Dependence for Codependent Variables

Model interpretability is important to machine learning practitioners, and akey component of interpretation is the characterization of partial dependenceof the response variable on any subset of features used in the model. The twomost common strategies for assessing partial dependence suffer from a number ofcritical weaknesses. In the first strategy, linear regression modelcoefficients describe how a unit change in an explanatory variable changes theresponse, while holding other variables constant. But, linear regression isinapplicable for high dimensional (p>n) data sets and is often insufficient tocapture the relationship between explanatory variables and the response. In thesecond strategy, Partial Dependence (PD) plots and Individual ConditionalExpectation (ICE) plots give biased results for the common situation ofcodependent variables and they rely on fitted models provided by the user. Whenthe supplied model is a poor choice due to systematic bias or overfitting,PD/ICE plots provide little (if any) useful information. To address these issues, we introduce a new strategy, called StratPD, thatdoes not depend on a user's fitted model, provides accurate results in thepresence codependent variables, and is applicable to high dimensional settings.The strategy works by stratifying a data set into groups of observations thatare similar, except in the variable of interest, through the use of a decisiontree. Any fluctuations of the response variable within a group is likely due tothe variable of interest. We apply StratPD to a collection of simulations andcase studies to show that StratPD is a fast, reliable, and robust method forassessing partial dependence with clear advantages over state-of-the-artmethods.
Application of Random Forest in the analysis of students' physical health test data

The physical fitness test data of college students is an important basis to measure the physical fitness level of college students. The application of data mining techniques to the deep mining of physical fitness data plays an important role in the physical health development of college students and the design of physical education programs. Based on the Random Forest classification algorithm, this study analyzed and explored the potential factors affecting students' physical test scores by using the physical fitness test data of the 2019 grade undergraduates of Baoji College of Arts and Sciences, and scientifically predicted the physical fitness status of college students according to the analysis results, and provided scientific guidance for physical exercise according to the analysis and prediction results. The experimental results show that the Random Forest classifier selected in this experiment has high accuracy and can provide a decision basis for the guidance of scientific physical exercise for college students.
The Modularity in Multimodal Covariance Networks Identified by Simultaneous EEG-MRI Analysis

Functional dysconnectivity has been widely reported in bipolar disorder during depressive episodes (BDD). However, the frequency-specific alterations of functional connectivity (FC) in BDD remain poorly understood. To address this issue, the FC patterns across slow-5 (0.01–0.027 Hz) and slow-4 (0.027–0.073 Hz) bands were computed using resting-state functional magnetic resonance imaging data from 37 BDD patients and 56 healthy controls (HCs). Short-range (local) FC density (lfcd) and long-range FC density (lrfcd) were calculated, and two-way analysis of variance was performed to ascertain the main effect of diagnosis and interaction effects between diagnosis and frequency. The BDD patients showed increased lfcd in the midline cerebelum. Meanwhile, the BDD patients showed increased lrfcd in the left supplementary motor cortex and right striatum and decreased lrfcd in the bilateral inferior temporal gyrus and left angular gyrus (AG) compared with the HCs. A significant frequency-by-diagnosis interaction was observed. In the slow-4 band, the BDD patients showed increased lfcd in the left pre-/postcentral gyrus and left fusiform gyrus (FG) and increased lrfcd in the left lingual gyrus (LG). In the slow-5 band, the BDD patients showed decreased lrfcd in the left LG. Moreover, the increased lfcd in the left FG in the slow-4 band was correlated with clinical progression and decreased lrfcd in the left AG was correlated with depressive severity. These results suggest that the presence of aberrant communication in the default mode network, sensory network, and subcortical and limbic modulating regions (striatum and midline cerebelum), which may offer a new framework for the understanding of the pathophysiological mechanisms of BDD.
Pengaruh Bimbingan Orang Tua Terhadap Minat Membaca Peserta Didik Kelas IV di SDK Ndona 2 Kecamatan Ndona Kabupaten Ende

The objectives of this study were: (1) To determine parental guidance on reading interest of fourth grade students at SDK Ndona 2, Ndona District, Ende Regency. (2) This is to determine the reading interest of fourth grade students at SDK Ndona 2, Ndona District, Ende Regency after receiving guidance from parents. (3) To determine the effect of parental guidance on reading interest of fourth grade students in SDK Ndona 2, Ndona District, Ende Regency. This type of research used in this research is a type of quantitative correlation research with the research approach used is descriptive statistics. Research on the effect of parental guidance on students' reading interest was carried out at SDK Ndona 2, Ndona District, Ende Regency. The research subjects were all fourth grade students at SDK Ndona 2. The variables and indicators in this study were the independent variables or influence variables, namely parental guidance and the dependent variable or the affected variable, namely reading interest. Data collection techniques using a questionnaire (questionnaire) and documentation. The data analysis technique used in testing the hypothesis is the product moment correlation technique. The results of the research from the calculation of the correlation using the product moment correlation technique between the X and Y variables, namely the magnitude of the influence of parental guidance on reading interest from the results. The R Square value of 0.939 is between 0.80 - 1,000, so the effect of parental guidance on students' reading interest is very strong. . If interpreted as percentage it is 93.9% while the rest is 6.1% which is influenced by other factors outside the parental guidance variable. So the hypothesis which says that there is an effect of parental guidance on reading interest of grade IV students in SDK Ndona 2 is accepted. Thus it is suggested for parents of students to better supervise and take the time to guide students to learn to read at home and limit the playing hours of students so that more time is spent learning to read at home, so as to increase students' reading interest.
Expert System Diagnosis of Skin Disease in Cat with Forward Chaining Method

An expert system on cat skin is a system that is intended for cat owners in which there are several problems that often occur based on observations of complaints that often occur for cat owners, from these problems I have conducted a research on several doctors to find solutions to some of the problems that I have researched, from the various problems that I have found I propose to create an expert system for skin diseases in cats with a Web-based forward chaining method. This forward chaining method is expected to make it easier for users to find out what skin diseases are being experienced by cats based on the rules that have been applied in the form of choices from various questions that have been presented to the user to achieve the goal in the form of output results (Consultation Results Report). So in the consultation report the user can find out what skin disease is being suffered by the cat and there are also consultation results that encourage the user to follow up for a direct consultation with the doctor.
When machine learning meets healthcare: towards knowledgeincorporation in multimodal healthcare analytics

Big data has presented us with unprecedentedopportunities to model and understand massive visual and textualcontents generated by the explosion of a wide variety of digitalapplications ranging from social media to healthcare. With thedevelopments of machine learning and artificial intelligence,large-scale and rich resourced general knowledge can be used toinfer information for various applications. However, for somespecific domains there only exist limited resources based on whichwe are aiming to achieve robust performances, such as healthcarewhere conventional machine learning approaches perform hardly aseffective. We argue that the incorporation of domain knowledgewith machine learning approaches is capable of alleviating thecomplexity and insufficiency of utilizing general knowledge tosolve such domain-specific problems. In this thesis, we firstpresent our preliminary studies on healthcare about diseasedetection and classification on textual data, and visual sentimentanalysis, in order to showcase the major challenges in healthcareanalysis. We then propose a novel and versatile framework toextract coarse-grained and fine-grained domain knowledge withminimum supervision in the form of a knowledge graph. Theeffectiveness of domain knowledge incorporation has been validatedin the tasks of multimodal sentiment analysis and automaticradiology report generation where we take the advantages of therich semantics conveyed in the domain knowledge. Furthermore, weexplore the feasibility of utilizing social multimedia foranalyzing human health and well-being including user behavioraland psychological analysis.
EVALUASI KEMANANAN SISTEM INFORMASI PASDEAL BERDASARKAN INDEKS KEAMANAN INFORMASI (KAMI) ISO/IEC 27001:2013

Information systems are a valuable asset for business actors, one of which is engaged in e-commerce. Pasdeal is a credit distributor and server service that implements an e-commerce information system. The use of information systems in the field of sales or electronic commerce is considered efficient because it has become a platform for media and services and new and unique capabilities that are not found in the physical world. Information security factor is a very important aspect to consider considering the performance of ICT governance. For this reason, information systems need an information security evaluation in order to find out the gaps and deficiencies in information security in the information system. The KAMI index is a reference tool to evaluate the level of readiness of information system security in an organization. Evaluation is carried out on various areas that are the target of information security implementation based on the ISO/IEC 27001:2013 standard. Based on the results of the KAMI index assessment, it was found that Pasdeal got a score of 591 points from the application of the ISO 27001 standard with a pretty good predicate.
APPLICATION OF VIRTUALIZATION TECHNOLOGIES IN THE CONTEXT OF DIGITALIZATION OF EDUCATION

Today, education is influenced by many factors. Educational institutions face budget cuts, outdated information technology, data security management, and a push to integrate distance learning. Virtualization technologies offer innovative solutions to the problems that arise in this direction. In particular, the extensive use of virtualization in implementing remote and traditional teaching with the use of various e-learning materials, digital learning resources, educational portals, websites, cloud-based technologies. The article presents the directions of the organization of the original educational infrastructure with the use of virtualization technologies implemented by the university in the educational process. This infrastructure provides students and university staff with access to virtual workstations and applications over the Internet, both for working in computer labs at the university and for extracurricular work. Virtualization technologies that characterize the infrastructure functions are presented, which reflect the advantages of this direction, and the final results of research experiments conducted to identify infrastructure problems are presented.
Essential Library Services for HKU Staff

Essential Library Services for HKU StaffThe workshop aims to familiarise HKU staff with the essential services to support their teaching and research. Topics cover:Part I: Information ResourcesFind information resources within and beyond HKU LibrariesAccess library electronic resources from Google Scholar and publisher’s websiteSet up alerts to stay updated with the latest researchPart II: Teaching SupportCreate online reading lists for your course teachingPurchase textbooks/resources through HKU LibrariesCopyright in teaching and learningPlagiarism and originality check with TurnitinPart III: Research SupportManage citations with EndnoteData management and curation for your research projectsOpen Access publishing for HKU authorsResearch assessment via research metrics databasesManage your Author IDs to increase research visibilityPromote knowledge exchange through HKU Scholars Hub
Minimum Consistent Subset Problem for Trees

In the minimum consistent subset (MCS) problem, a connected simple undirected graph \(G=(V,E)\) is given in which each vertex is colored by one of the possible colors \(\{c_1, c_2, \ldots , c_k\}\); the objective is to compute a minimum size subset \(\mathcal{C} \subseteq V\) such that for each vertex \(v \in V\), one of its nearest neighbors in \(\mathcal{C}\), with respect to the hop-distance, is of the same color as the color of v. The decision version of the MCS problem is NP-complete even for planar graphs. We propose a polynomial-time algorithm for computing a minimum consistent subset of a bi-chromatic tree.
KECENDRUNGAN MEDIA PEMBELAJARAN INTERAKTIF

This paper examines the tendency of interactive learning and how the steps are implemented to increase students' understanding of what is being studied, because the development of education in schools is growing day by day so that it undergoes changes, learning demands will always be adapted to these developments Therefore, the implementation of interactive learning is one way to make changes in the learning process. Interactivity is a characteristic of multimedia learning programs and the level of interactivity will determine how intense student involvement is in understanding learning, for conditions like this the presence of learning media is very useful, in such a position.
Perspectives on the Future for Sonic Writers

This article intends to provide a holistic review of Thor Magnusson’s Sonic Writing, presenting the authors’ historically-informed views about sound and music technologies. It starts by addressing the distinctions between the three categories of music-related inscriptions, in material, symbolic and signal form. It then reflects upon the parallelism this categorization has with the scope and topics within different conferences from the field of sound and music technology. Furthermore, it recounts the contributions of recent deep learning approaches in musical development, expanding on the books’ notions and offering an updated view concerning the specific purpose of automated music generation. Moreover, a contrast between the recent wave of AI-related technological developments and older scientific advances is discussed. Finally, driven by considerations about computational creativity in the field of music stated on Sonic Writing, this review propels a reflection regarding the role of machines in artistic creation.
THE EFFECTIVENESS OF USING ZOOM CLOUD MEETING MEDIA IN INCREASING STUDENTS' MOTIVATION AND LEARNING OUTCOMES ON THE CONCEPT OF THE CONCEPTS OF THE 4th CLASS OF IPS LEARNING HISTORY IN ELEMENTARY SCHOOL

This classroom action research aims to determine the increase in motivation and learning outcomes of fourth grade students at SDN 77, Kota Tengah District, Gorontalo City. The subjects of this study were 30 students,consisting of 15 male students and 15 female students. The results of this study indicate that in the first cycle of the first meeting, the use of Zoom Cloud Meeting media in the good category was 40% in the 30% sufficient category, in the less than 30% category, in the first cycle of the second meeting the use of Zoom Cloud Meeting media increased in the good category by 50%. , in the sufficient category 23% and in the less category 26%,in the second cycle of meeting I increased to 63% in the good category, in the sufficient category 20% and in the less category 16% and in the second cycle meeting II increased to 80% in the good category , in the sufficient category 6% and in the less category 1%.Thus, learning through Zoom Cloud Meeting media can increase student motivation and learning outcomes.
Design Of Diagnosis Expert System Of Car Damage On Auto 2000 Kenjeran Surabaya Using A Rule Based System Method

Auto 2000 is a network of sales, repair, parts providers of Toyota, and maintenance that management is fully handled by a company. Astra Internasional Tbk. Auto 2000 is currently the largest automotive company in Indonesia which controls approximately 42% of Toyota's total sales. Auto 2000 there is a workshop that will serve or meet customer complaints contained in cars under the Toyota brand. Currently what happens in Auto 2000 Kenjeran, especially in the workshop service advisor (SA) is still looking for solutions or actions in case of problems with the car. At the time of checking by frequent customer waiting times become long, it creates a queue of cars to check for damage to the car. The misdiagnosis of damage by SA will be returned by the SA to recheck the damage done to the customer's car. By using the rule-based system method this method will work well when the problem starts from collecting / uniting information and then looking for what conclusions can be drawn from the information is able to analyze the kind of damage that occurs in the car engine. Questionnaire results from each position as follows, the head of the workshop gets a result of 100% with a percentage of the value is very appropriate, PTM gets a result of 100% with a percentage of very suitable value, FO gets a result of 96.66% with a percentage of very suitable value, SA gets a result of 99.16% with a percentage of very suitable value. The result of the alignment of positions is 99.10% which in the percentage of the value of the figure is included in the category is very appropriate.
ANALISIS PEMEROLEHAN BAHASA ANAK YANG DIPENGARUHI OLEH FAKTOR LINGKUNGAN

Language is a form of sound symbol that is arranged regularly, by a number of components with rules that have meaning in each speech. If language has no meaning it will be more difficult to understand its meaning and purpose. So that with human language it will be easier to socialize. One of the development of children's abilities at an early age is language skills, even though the language speech is not yet perfect. This speech system will be more perfect as the child gets older. The purpose of this study is to analyze environmental factors that influence children's language development. This research uses storytelling method. The storytelling method is a way of conveying events, feelings, knowledge through improvised pictures, words, or sounds. The result of this research is that there is a mixture of language that is not synchronous when the child is invited to communicate. The loss of letters when pronouncing words and their pronunciation is not correct, because languages at this age are still in the development stage. Language is very important for all of us, especially in childhood it must be considered. Not paying attention will result in asynchronous language and word inaccuracies. The language taught by parents does not always have to use Indonesian, it needs to be familiarized with the language of the environment.
A Theoretical Study of Training Set Parallelism for Backpropagation Networks on a Transputer Array

Training set parallelism and network based parallelism are two popular paradigms for parallelising a feedforward (artificial) neural network. Training set parallelism is particularly suited to feedforward neural networks with backpropagation learning where the size of the training set is large in relation to the size of the network. This study analyses training set parallelism for feedforward neural networks when implemented on a transputer array configured in a pipelined ring topology. Analytical expression for the training time per epoch (iteration) is derived. Given a fixed neural network and a fixed number of training samples, using this expression, one can find out the optimal number of transputers needed to minimise the training time per epoch without actually performing the simulations. An expression for speed up is also derived. This expression shows that the speed up is a function of the number of patterns per processor, communication overhead per epoch and the total number of processors in the topology.
Reading and Talented Readers

Talented readers as those who read to understand, explore, challenge, question, make advanced connections, and apply advanced levels of creative and critical thinking to reading content that is well above their chronological grade level. Identifying the characteristics of and defining talented readers is challenging, as no consensus exists in the research or case study literature. As noted earlier, characteristics of talented readers have been described anecdotally, but little empirical research has focused on this population. Teaching students to read well and enabling them to continue to make academic progress should be a national concern. If talented readers are to be challenged, teachers will need professional development about new, research-based curricular and instructional options, and they will also need to understand how to use materials that eliminate or extend basal reading programs and provide high levels of challenge. Identifying the characteristics of and defining talented readers is challenging, as no consensus exists in the research or case study literature.
WEBSITE BASED INFORMATION SYSTEM DEVELOPMENT TO IMPROVE LEARNING ACHIEVEMENTS

The development of an information system package for computer and network- based network engineering expertise aims to improve learning achievement in computer and basic network subjects at SMK IT Rabbi Radhiyya. The type of research carried out is Research and Development (R&D), this development adapts to the needs of the field. The research subjects were class x computer and network engineering expertise packages at SMK IT Rabbi Radhiyya Rejang Lebong, Data collection methods namely: coordination, interviews, questionnaires and test exams. The data analysis technique of learning achievement uses one group t test and between groups. Information on developing a web-based information system on computer and network engineering expertise packages on basic computer and network lessons can improve learning achievement