Reviewerly/exHarmony huggingface dataset:
Obsolescent media, technology, and time in William Basinski’s experimental sound art

As one of the most singular sound artists on the American scene since the early 1980s, William Basinski has created a defiant approach to sound that has helped configure new aesthetics of listening. His compositions, if that is the proper term, are primarily created by registering, cutting, assembling, and looping melodies recorded on old tapes. This text examines two of Basinski’s most intriguing works: The Disintegration Loops (2002) and On Time Out of Time (2019). Both pieces explore notions of time, obsolescence, and technology through highly experimental creative strategies. The first of these works emerged unexpectedly while, in an attempt to digitalize the content of old tapes, their magnetic material cracked and flaked off, causing the sound to slowly collapse. The second was commissioned by Caltech and MIT’s Laser Interferometer Gravitational-Wave Observatory (LIGO) and transforms sound waves generated by the collision of two black holes that occurred 1.3 billion years ago. Thus, this text underlines how the artist’s work is intertwined with an active investigation of sonic recording tools and temporality. Ultimately, Basinski’s oeuvre proves that dying media and new technologies can merge to produce intricate, emotional, and visionary artworks that question the limits of our understanding of sound and how it is experienced.
Explainable Artificial Intelligence (XAI) Model for the Diagnosis of Urinary Tract Infections in Emergency Care Patients

Significance of machine learning (ML), deep learning (DL) techniques and the availability of Electronic Health Records (EHR) has motivated the need of automated diagnosis system. Furthermore, this development has transformed the health care systems. Recently, several ML and DL models has been proposed for various diseases and has shown the significant outcomes as well. Unfortunately, Urinary tract infections (UTI) is among the minor diseases that is not investigated a lot interms of diagnosing using computation intelligence techniques. However, these models lack the reliability due to the black box nature of the highly complex logic model. Therefore, we attempt to develop an interpretable deep learning (DL) model for the diagnosis of UTI using the dataset of emergency department (ED) patients from UK. Several sets of experiments were conducted using complete dataset, reduced attribute set identified using recursive feature elimination (RFE) and using the attributes identified by the baseline study. The proposed DL model has improved the baseline study accuracy from 0.875 to 0.9275 for 184 feature and 0.859 to 0.943 for the reduced feature. Furthermore, the model has outperformed interms of sensitivity and specificity as well. Due to the data imbalance positive predicted value (PPV), negative predicted value (NPV) and Youden Index was also used for evaluating the performance of the model. The proposed DL model has achieved the highest outcome using 18 attributes selected with RFE technique. The proposed model will produce reliability in the diagnosis made by the model and provide confidence to the doctors to adopt the system in the real life.
Kepraktisan Modul Elektronik Menggunakan Aplikasi Sigil Berorientasi Pendekatan Saintifik Materi Perubahan Lingkungan Kelas X Jenjang Sekolah Menengah Atas

&lt;p&gt;&lt;strong&gt;Electronic modules are electronic teaching materials that are arranged systematically, covering competencies that will be mastered by students and equipped with an attractive appearance. Sigil is an e-book maker application with a product format in the form of epub. This study aims to describe the validity and practicality of the Electronic Module Using Sigil Application Oriented the Scientific Approach to Environmental Change Materials for Class X High School Level. The study is part of Research and Development which refers to the 4-D model, which consists of 4 main stages, Define, Design, Develop and Disseminate. The subjects in this study were 9 students of class X SMAN 7 Banjarmasin. The instrument used is a student response questionnaire. The results of the practicality test obtained an average percentage of 88.54% (very practical) with a percentage of 88.00% in the display aspect (very good), 92.44% in the material presentation aspect (very good) and 85.18% in the benefits aspect (very good), overall it is categorized as very practical and can be used by students.&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Keywords&lt;em&gt; - &lt;/em&gt;&lt;/strong&gt;&lt;em&gt;Electronic module, Sigil application, Scientific approach, Environmental change&lt;/em&gt;&lt;/p&gt;
From Strategy to Skills Development in a Higher Education IT Organisation

People are typically identified as key assets for a successful IT organisation, and this is particularly true for HE institutions where the level of outsourcing is often lower than in other sectors. Therefore, we need a way for ensuring that the IT organisation’s skills and capabilities reflect the institutional strategy and there is a solid process for identifying and addressing possible gaps. Traditional approaches, such as IT skills frameworks, are well suited for analysing and addressing technical and content-specific skills development, but they do not provide a convenient way of addressing non-technical skills development. This paper provides an approach for analysing the requirements for non-technical skills and for addressing them with appropriate development activities. The approach is based on identifying key business capabilities of a HE institution and mapping them into a categorisation that provides the required guidance for competency assessment and development. The approach can be combined with traditional approaches for technical skills analysis, hence providing a comprehensive tool for translating strategy into relevant skills and competency development actions.
Botanische macroresten uit sloten als spiegel voor het landschap

Samples from ditches as a reflection of the landscape. Ditch-fill samples were taken from modern ditches in three different landscapes – the sandy heathland of Balloërveld, the peatland of Fochteloërveen and the woodland of Norg. This contribution focuses on the botanical macroremains collected from the ditch fills and how these remains may improve landscape-historical research. Microscopic research of the macroremains shows a difference between the habitats, albeit not a distinct one. Botanical remains of woodland vegetation were strongly represented in virtually all samples, overshadowing indicative species per landscape type. Given the limits of this pilot study, further research is strongly recommended to assess how ditch fills can be of value to reconstructing past and present landscapes.
Evaluation Method of Rationality of Creative Genius Cultivation Pattern Based on a BP Neural Network

In order to realize the evaluation of the rationality of an innovative talent training mode, an evaluation model of the rationality of the innovative talent training mode based on a BP neural network is proposed. On the basis of clarifying the principle of the BP neural network model, according to the method of parameter multisource control analysis, the multi-objective characteristic analysis of the rationality of the innovative talent training mode is realized to measure the difference and balance between the two variables of the rationality of the innovative talent training mode. A BP neural network algorithm is designed to find the best feature subset, and a feature sequence sampling and recombination model is constructed. Through reliability evaluation and nonparametric quantitative feature estimation, quantitative analysis and evaluation of the rationality of the innovative talent training mode are realized. The test results show that the confidence level and reliability of the rationality evaluation of the innovative talent training mode using this method are high.
Business Capability Models: current landscape and next steps for the EUNIS community

This paper takes a policy perspective on the development and governance of Business Capability Models in Higher Education. In particular, we look at the next steps in international collaboration around the Higher Education Reference Model (HERM) launched in 2021. The motivation is to highlight the European challenges and contributions to this concept. To do so, the paper draws on insights from the EUNIS EA SIG community. The paper also argues that ongoing work in the domain of interoperability underscores the importance of a common framework such as HERM. At the same time, EUNIS can build upon those experiences when collaborating on the development of HERM. The main recommendation of the paper is that EUNIS in general and the EA SIG, in particular, should actively engage in the future development of HERM. More specifically, we see a need to focus on the implications of translating the model into the broader European context.
Leveraging Data Mining Tools and Techniques to Effectively Execute Sentiment Analysis on Social Media Data

Lately, online social media has taken a fundamental part in communication and sharing of information. Countless users prefer social media as it is accessible to many individuals with no restrictions to share their understandings and instructive opportunities for growth and concerns through their status. Twitter API is handled to look for the tweets given the geo-area. Understudies' posts on the informal organization give us only worry about concluding the system-specific schooling systems growing experience. Assessing such information in an informal organization is a seriously difficult process. The proposed system will have a work process to mine the information, which incorporates both personal research and massive scope of information mining strategies. In light of the different noticeable subjects, we will classify tweets into various groups. A Naive Bayes classifier will be executed on searched data for personal investigation purposes to comprehend the information better. It involves a multi-name grouping strategy as each mark falls into various classifications, and every one of the characteristics is free. Will take name-based measures to break down the outcomes and distinguish them and the current sentiment analysis procedure.
Honeyword Generation Using a Proposed Discrete Salp Swarm Algorithm

Honeywords are fake passwords that serve as an accompaniment to the real password, which is called a “sugarword.” The honeyword system is an effective password cracking detection system designed to easily detect password cracking in order to improve the security of hashed passwords. For every user, the password file of the honeyword system will have one real hashed password accompanied by numerous fake hashed passwords. If an intruder steals the password file from the system and successfully cracks the passwords while attempting to log in to users’ accounts, the honeyword system will detect this attempt through the honeychecker. A honeychecker is an auxiliary server that distinguishes the real password from the fake passwords and triggers an alarm if intruder signs in using a honeyword. Many honeyword generation approaches have been proposed by previous research, all with limitations to their honeyword generation processes, limited success in providing all required honeyword features, and susceptibility to many honeyword issues. This work will present a novel honeyword generation method that uses a proposed discrete salp swarm algorithm. The salp swarm algorithm (SSA) is a bio-inspired metaheuristic optimization algorithm that imitates the swarming behavior of salps in their natural environment. SSA has been used to solve a variety of optimization problems. The presented honeyword generation method will improve the generation process, improve honeyword features, and overcome the issues of previous techniques. This study will demonstrate numerous previous honeyword generating strategies, describe the proposed methodology, examine the experimental results, and compare the new honeyword production method to those proposed in previous research.
One of the possible implementations manager’s password model for Android OS

The paper considers one of the possible implementations of the password manager model for the Android operating system (hereinafter OS). The work is a continuation of the article on the development of a software password manager for the Android OS [13], published earlier. In this paper, the choice of specific methods, algorithms, on the basis of which it is necessary to implement the software, an application model is proposed, taking into account the results obtained in the previous work [13], and recommendations are given for protecting information when running an application for the Android OS.
SISTEM KLASIFIKASI KELULUSAN MAHASISWA DENGAN ALGORITMA RANDOM FOREST

Some of the causes of students not graduating on time are the Cumulative GPA, which is below standard, the contracted courses do not pass, and the Number of leave taken. If left unchecked, this student's graduation time affects the accreditation value of the study program. For that, we need an application that can classify students who do not graduate on time from an early age so that supervisors and teaching lecturers can pay special attention to extra lessons, provide motivation, and can provide encouragement for students who are classified as not graduating on time so that the student can graduate on time. In this study, a student graduation classification application was made using the Random Forest algorithm. The attributes used to classify student graduation are Grade Point Average, Grade Point Average 1 to 4, Number of courses not passed, age, and gender, with 2 class outputs classified as punctual and late. This application development uses Waterfall and Unified Modeling Language (UML) as modeling tools. Testing of student graduation classification applications using the Random Forest algorithm, which is carried out using 60% training data and 40% test data. The test was performed five times, and the highest accuracy obtained was 90.00% using 50 trees.
The Level of Correlation of the Influence of Slope Conditions and Land Cover on the Level of Flood Disaster Risk in Pesisir Selatan Regency

Pesisir Selatan Regency, which is located in the Province of West Sumatra, is one of the areas that has a significant level of flood risk. This is evidenced by an incident where on May 12, 2021, one thousand twenty-four houses were flooded and three of them were washed away, on May 17, 2021, eight hundred houses were flooded, and on May 29, 2021, six houses were damaged by the flood. Factors related to the slope and land cover also become several forms of variables that are able to determine how big the level of flood risk can appear in an area. With the availability of slope data from the DEMNAS website, land cover data from the Ina-Geoportal website, and even flood risk data from Ina-Risk BNPB, of course, it should make it easier for the community and students to investigate the correlation between the three considering that this data is open-source. By utilizing methods such as scoring techniques, GIS technology, and also SPSS, it is possible to find a form of correlation between the level of correlation between the influence of slope conditions and land cover on the level of flood risk, especially in Pesisir Selatan Regency in order to obtain good evaluation results on the importance of alignment in several related data. . The results show that there is inequality where the level of discrepancy reaches the level of 53.16% and then is followed by a very appropriate level of 17.98%.
Text mining methods for innovation studies: limits and future perspectives

This study offers alternative and promising approaches to word count methods, largely used to develop innovation indicators from unstructured text. We propose a method based on Information Retrieval (IR) and word-embedding models to tackle the semantic ellipsis, one of the main issues of word count methods. We test our IR model by investigating the concept of collaboration and comparing our approach with a baseline corresponding to the keyword search. To ensure the best performances, we use several ways to represent queries and documents in a vector space and three pre-trained word-embedding models. The results prove that our approach can alleviate the semantic ellipsis problem. Indeed, the IR model developed outperforms the classical keyword search in terms of F1-score and Recall. Moreover, we create a combined method that achieves the highest F1-score. These preliminary results can facilitate the creation of reliable innovation indicators from unstructured textual data substituting or complementing survey-based questionnaires.
Changes in corporate websites and business activity: automatic classification of corporate webpages

Every time a firm or institution performs an activity on the Web, this is registered, leaving a "digital footprint”. Part this digital footprint is reflected on their websites as these officially represent them on the Web. We plan to automatically monitor the changes that periodically occur in a website to relate them with the business activity. The aim of this paper is to propose a theoretical classification of corporate webpages to associate changes that occur on them with the regular activity of the firms, and to evaluate the possibility of an automatic categorization using classification models. To generate the classification of corporate webpages, a significant number of today corporate webpages were analyzed and observed, distinguishing four theoretical types of corporate webpages. To evaluate the automatic categorization of corporate webpages, a dataset of 1005 today corporate pages was generated by manually labeling them and evaluating their automatic categorization using classification models.
Parents and Children's Perceptions of Online Learning During the Covid-19 Pandemic in East Alok District

The purpose of this study is to know the perception of parents and children about learning online during Pandemi Covid-19 in East Alok District. This research was conducted in Nangameting Village. RT 002 and Waioti Village RT 038 Alok Timur District. This study uses data collection techniques, descriptive qualitative methods with interview techniques with 68 respondents. The results of the interview of parents and children reveal that online learning is felt ineffective, namely children bored, the performance of children is affected, children do not understand the task, and material is inadequate. For reasons such as given by the teacher, children play and children who are not focused. In addition, parents must also accompany children in online learning. This was also stated by children who felt online learning was ineffective because they felt difficulties in understanding the material and tasks given by their teachers during the online learning process. Cannot meet directly with the teacher, too many tasks, and lack of knowledge about how to use applications. Obstacles between parents and children in online learning, internet quota used by children to play, Android phones do not exist, children do not understand material and tasks, limited economy, expensive quota, limited parental education, unstable networks, and do not understand how to use application
Efforts to Increase Motivation and Learning Outcomes through the Google Classroom Application Class V SDN Pulorejo 02 PAI Courses for the Academic Year 2021/2022

This study aims to: 1) describe the PAI online learning process through the application of the google classroom application in class V, 2) find out whether the application of the google classroom application can increase student learning motivation in PAI online learning, 3) find out whether the application of the google classroom application can improve student learning outcomes in PAI online learning material Knowing the Apostles of Allah SWT Class V. This classroom action research uses subjects and research settings for class V in the second semester of the 2021/2022 academic year at SD Negeri Pulorejo 02, Winong District, Pati Regency. The results of observations of the online learning process show that the learning process using the google classroom application has increased the average score from 2.63 in the good category in the first cycle to 3.67 in the very good category in the second cycle. Thus the learning process has increased by 0.97. The results of observations on student learning motivation by learning using the google classroom application showed an average increase from 2.98 in the first cycle to 3.60 in the second cycle or in other words an increase of 0.62 points. Student learning outcomes in the PAI subject matter of Knowing the Apostles of Allah SWT showed an increase, in the initial condition of students who completed the KKM as many as 6 students or 40%, while students who had not completed as many as 9 students or 60% with an average score of 63.60 . It increased in the first cycle, namely among students who completed the KKM by 11 students or 73%, while students who had not completed the KKM were 4 students or 27% with an average score of 77.20. Increasingly in the second cycle, the students who completed the KKM were 14 students or 93%, while the students who had not completed the KKM were only 1 student or 7% with an average score of 91.46. This shows that student learning outcomes have increased significantly
The Relationship of The Role of Parents with The Children's Learning Discipline in Watugong Village, Alok Timur District

This study aims to determine the relationship between the role of parents and the discipline of learning children in Watugong Village, East Alok District. This research was conducted in Kloangkoja Hamlet, Watugong Village. This study uses descriptive qualitative research methods with data collection techniques used, namely interview techniques with the number of respondents studied with 60 people. Based on the results of interviews conducted by researchers with parents in Kloangkoja Hamlet, it is said that parents have educated, protect, serving, giving attention, providing children's learning facilities, and parents as well as a place to take out hearts, recognize children's learning difficulties, guide and encourage motivating children in learning discipline. Therefore, it can be concluded that the role of parents in relationships with children's discipline in Kloangkoja Hamlet can be said to be good.