Reviewerly/exHarmony huggingface dataset:
Contact-Tracing Technologies and the Problem of Trust—Framing a Right of Social Dialogue for an Impact Assessment Process in Pandemic Times

While technologies offer potentially powerful tools to help address complex social challenges, experience shows that they may fail to meet expectations and may also raise challenges of their own, including for privacy and other data rights. To what extent can these difficulties be ascribed to a lack of public trust undermining the technologies’ effectiveness and disputing their legitimacy? The Australian and Dutch pandemic contact-tracing apps considered in this article suggest part of an answer to this question. As our case studies show, the greater efforts made by the Dutch Government to address a range of rights and provide for wide consultation in the CoronaMelder app’s various impact assessments paid off in terms of a better-designed app that was more broadly conversant with human rights than its Australian COVIDSafe counterpart, and was also more trusted—even if these benefits were still marginal compared to manual contact-tracking, especially in already marginalised communities. We argue that the Dutch experience should now be taken further to frame a right of social dialogue allowing data rights subjects to participate fully in the impact assessment process. We hope (and expect) this would result in better decision-making and improved public trust in ‘truly trustworthy’ technologies developed and deployed in response to a pandemic. However, ultimately, our more basic argument is that rights, premised on dignity and liberty, are of value and should be respected, including—indeed especially—in pandemic times.
Clustering performance using k-modes with modified entropy measure for breast cancer

&lt;span&gt;Breast cancer is a serious disease that requires data analysis for diagnosis and treatment. Clustering is a data mining technique that is often used in breast cancer research to assess the level of malignancy at an early stage. However, clustering categorical data can be challenging because different levels in categorical variables can impact the clustering process. This research proposes a modified entropy measure (MEM) to enhance clustering performance. MEM aims to address the issue of distance-based measures in clustering categorical data. It is also a useful tool for assessing data loss in categorical clustering, which helps to understand the patterns and relationships by quantifying the information lost during clustering. An evaluation compares k-modes+MEM, k-means+MEM, DBSCAN+MEM, and affinity+MEM with conventional clustering algorithms. The assessment metrics of clustering accuracy, intra-cluster distance and fowlkes-mallow index (FMI) are employed to evaluate the algorithm performance. Experimental results show significant improvements. k-Modes+MEM algorithm achieves a reduction in average intra-cluster distance and outperforms other algorithms in accuracy, intra-cluster distance, and FMI. The proposed algorithm can be extended to heterogeneous datasets in various domains such as healthcare, finance, and marketing.&lt;/span&gt;
Analysis Of Unemployment Clusters In Indonesia Using The Self Organizing MAP Method

Unemployment is a situation where someone is not working or is trying to find a job but unable to find work. The spread of unemployment in Indonesia has different characteristics in each region, so it is necessary to classify the unemployed so that each government policy program can be carried out in a more focused and directed manner. This study discusses cluster analysis of unemployment using the Self Organizing Map (SOM) method in classifying the unemployed in Indonesia in 2020. The SOM method is able to show dominant patterns and variables in clusters. The variables used in this study consisted of school enrollment rates, average length of schooling, labor force participation rates, and the percentage of the population using computers. The results of this study formed 3 unemployment rate clusters with cluster 1 being a low unemployment group consisting of 144 districts/cities, cluster 2 with a medium level consisting of 287 districts/cities, and cluster 3 with a high level consisting of 83 districts/cities. The grouping using the SOM method on district/city unemployment data in Indonesia is good because it has a minimum standard deviation ratio of 0.529.
A comparative study of steganography using watermarking and modifications pixels versus least significant bit

This article presents a steganography proposal based on embedding data expressed in base 10 by directly replacing the pixel values from images red, green blue (RGB) with a novel compression technique based on watermarks. The method considers a manipulation of the object to be embedded through a data compression triple process via LZ77 and base 64, watermark from low-quality images, embedded via discrete wavelet transformation-singular value decomposition (DWT-SVD), message embedded by watermark is recovered with data loss calculated, the watermark image and lost data is compressed again using LZ77 and base 64 to generate the final message. The final message is embedded in portable network graphic (PNG) images taken from the Microsoft common objects in context (COCO), ImageNet and uncompressed color image database (UCID) datasets, through a filtering process pixel of the images, where the selected pixels expressed in base 10, and the final message data is embedded by replacing units’ position of each pixel. In experimentation results an average of 40 dB in peak signal noise to ratio (PSNR) and 0.98 in the similarity structural index metric (SSIM) evaluation were obtained, and evasion steganalysis rates of up to 93% for stego-images, the data embedded average is 3.2 bpp.
MODERN REQUIREMENTS FOR MANAGERIAL COMPETENCIES: THEORETICAL AND PRACTICE-ORIENTED APPROACHES

The article raises the problem of multiple approaches to determining the requirements for the competencies of a modern leader, since managerial personnel and their activities are the subject of study of management, social psychology, labor economics, and sociology. The topic of building models of specialists in relation to the requirements of the workplace is touched upon, therefore it is proposed for management personnel to systematize general approaches to determining the requirements for special skills and personal qualities in accordance with the professional standard. In the course of the study, special classes of competencies were identified, which can be both highly specialized and general for different types of organizations. An analysis of the literature on management made it possible to actualize the need to single out “supra-professional” competencies or “meta-skills”, which are essentially similar to universal competencies, and to use this approach in the formation of models for training managers. Based on the results of the study, a list of metaskills that are necessary for building a managerial career, are in the top requirements of the labor market, and require priority development for managerial personnel has been compiled. The use of this list in the creation of reference competency models for managers of different levels of management will optimize the process of developing skills, knowledge and skills and select effective tools for their formation.
Improving Student’s Reading Comprehension through Question-Answer Relationship of MTs Al-Washliyah Jati Rejo, Galang District Academic Year 2019/2020

This research is aimed at improving the reading comprehension of MTs Al-Washliyah Jati Rejo, Kec.Galang grade VIII students using QAR strategy. In conducting this study, the researcher applied Classroom Action Research (CAR) as the method of research. It was conducted in two cycles and each cycle consisted of four phases: planning, acting, observing, and reflecting. This research answered two questions (1) How is the implementation of using Question Answer Relationship (QAR) to enhance the students’ reading comprehension in the narrative text at the eight grade of MTs Al-Washliyah Jati Rejo, Kec.Galang in the academic year of 2019/2020? (2) How is the result of the use of Question-Answer Relationship (QAR) strategy in the narrative text at the eight grade of MTs Al-Washliyah Jati Rejo, Kec.Galang in the academic year of 2019/2020? In reference to the application of the two cycles, the results of the research revealed that the use of schema activation strategy successfully improved the students‘ reading comprehension. The students’ interest and attention in the process of teaching and learning English, especially reading, reading improved. They were also able to explore many words related to the topic of the lesson. In relation to their comprehension of English texts, the students were able to identify main ideas and supporting details of paragraphs correctly
The Effectiveness of Using Picture as Media Towards Students’ English Speaking Skills

The objective of this research was to find out the effectiveness of using picture as media towards students' English speaking skills. This research was conducted at MAS Al-Manar Medan in the academic year 2022/2023. The samples of this research were 37 students of class XI IPA and IIS. This research was conducted using an experimental research design with two classes, the experimental class consisting of 19 students and the control class consisting of 18 students. The experimental group was given pre-test, treatment and post-test and the control group was given pre-test and post-test. The instrument of this research was an oral test, which was given in the pre-test and post-test. The results of this research showed that the t-observed value was higher than the t-table (15.288 &gt; 2.030). The alternative hypothesis was accepted. It means that the effectiveness of using picture as media significantly affected towards students' English speaking skills.
Research on the intelligent management mode of university education and teaching for innovative talents cultivation strategy

Abstract Subject-specific education and quality management in higher education institutions are crucial to the cultivation of innovative talents. This paper constructs a GCEF talent cultivation model consisting of government, school, enterprise, and family to improve the quality of cultivation. It evaluates the teaching management system, promotes the construction and development of faculties, determines the weights with an index system and hierarchical analysis, and adds special quantitative items to make the evaluation more relevant. The study shows that the school plays the biggest role in talent cultivation, reaching 50%. The new model of teaching management in colleges and universities is able to develop sustainably and give full play to its service and professionalism.
The Role of Management Information System in Employee Career Development Decision Making at PT. PLN (Persero) UP3 Manado

Management Information System is a system that is used in the processing and organizing of data and information that has been used to support the overall management processes of an organization. With a good system, the leadership can obtain data regarding work experience, position experience, job performance, loyalty, and other information that can support the decision-making process including employee career development. This study aims to figure out the role of the Employee Performance Management Information System (SIMKP) in the decision-making of employee career development at PT. PLN (Persero) UP3 Manado. The qualitative research design with a case study approach was carried out at PT. PLN (Persero) UP3 Manado, from February to April 2022. Data collection techniques used were observations and interviews. The results of this study were there are three stages of the role of MIS in decision making of career development. The intelligence stage helps in collecting the data needed in the decision making of employee career development process, the design stage helps in processing and analyzing existing the data to be used in the employee career development decision-making process, and the choice stage helps in determining choices from various alternatives in the employee career development decision-making process. It can be concluded that there are three stages in which SIMKP plays a role in the career development decision-making process of employees in PT. PLN (Persero) UP3 Manado
Online prediction of photovoltaic power considering concept drift

Concept drift (CD) is considered to be the source of the deterioration of the accuracy of data-driven models over time. However, the CD in photovoltaic (PV) power predictions has rarely been studied. In this paper, an online PV power prediction method is proposed, which simultaneously handles the real and virtual CD of the PV power data stream. The proposed method uses a LSTM network as a predictor and consists of CD detection and model parameter update. As for CD detection, the Energy distance between the historical and new data distribution is used as the virtual drift detection criterion. The Drift Detection Method (DDM) algorithm is used to detect real drift and define drift levels. As for model parameter update, this paper uses an orthogonal weight modification (OWM) algorithm to quickly update the parameters of the LSTM and continuously learn new data features without forgetting after the drift occurs. Finally, to verify the effectiveness of the proposed method, this paper conducts tests on public datasets. The results show that the proposed method can improve the accuracy of online PV power prediction.
Four-wave mixing in all degrees of freedom

Abstract A Wigner functional approach is used to derive an evolution equation for a photonic state propagating through a Kerr medium. The resulting evolution equation incorporates all the spatiotemporal degrees of freedom together with the photon-number degrees of freedom and thus allows thorough analyses of the effects of experimental parameters in physical quantum information systems. We then use the evolution equation to consider four-wave mixing as a spontaneous process and finally we impose some approximations to obtain an expression for the optical field due to self-phase modulation.
Data and Knowledge Dual-Driven Automatic Modulation Classification for 6G Wireless Communications

Automatic modulation classification (AMC) is of crucial importance in the sixth generation wireless communication networks. Deep learning (DL)-based AMC schemes have attracted extensive attention due to their superior accuracy compared with the conventional methods. However, a pure data-driven DL method relies on a large amount of labeled training samples and the classification accuracy is poor, especially in the low signal-to-noise ratio (SNR). In order to tackle this problem, two data-and-knowledge dual-driven AMC schemes are designed. A novel data and semantic knowledge driven AMC scheme is proposed by exploiting the semantic attribute information of different modulations. Moreover, a prior knowledge driven multi-task learning visual model is established to improve the classification performance in low SNR. Furthermore, another novel data and multi-domain knowledge joint driven AMC scheme is proposed by using the semantic attribute knowledge and the prior knowledge based multi-task learning visual model. Extensive simulation results demonstrate that our proposed data-and-knowledge dual-driven AMC schemes achieve the best performance compared with the benchmark schemes in terms of classification accuracy. Moreover, it is shown that the expert knowledge spawns for AMC accuracy improvement and a decrease in the required number of training samples.
Secure Deep Learning Framework for Moving Object Detection in Compressed Video

In the cloud, there is an urgent need to implement intelligent video surveillance in a privacy-preserving way. Moving object detection is an important task in the intelligent surveillance system. In this paper, we propose a privacy-preserving deep learning framework to detect moving objects on compressed videos. We encrypt video bitstreams using selective video encryption to protect the private video content. We propose encrypted domain motion information (EDMI) without decryption and decompression to design three motion feature maps. Due to the sparsity of the EDMI distribution, existing convolutional backbones designed for RGB images have difficulty providing satisfactory performance. We design a novel convolutional backbone using a ”subtraction” strategy to reduce model complexity. Our backbone employs residual blocks and skipping connections to reuse the EDMI at deeper layers. We evaluate our model on two large high-definition surveillance video datasets, i.e., VIRAT and Duke-MTMC. The experimental results show that the proposed framework achieves state-of-the-art detection performance compared with the most recent works. Our approach achieves an excellent privacy-utility tradeoff. Compared to previous solutions, it performs more robustly in crowded scenarios with challenges like occlusion. To our best knowledge, this is the first reported deep learning framework for moving object detection in encrypted-compressed video.
Modeling and analysis of information automation in intelligent substation auxiliary monitoring system

The integrated substation automation monitoring system is mainly composed of related technologies and theories in automation technology, Internet information technology, digital signal technology and other fields. By rearranging and optimizing the design of the substation automation monitoring system, especially the auxiliary monitoring system, the operation speed and management efficiency of the substation are fundamentally improved, and the automation level of the substation is greatly promoted.
Studi Penggunaan Media Filtrasi Pasir Silika, Manganese, Dan Arang Aktif Untuk Menurunkan Parameter Pencemaran TDS, Mangan, Nitrat (NO2) dan MPN Coliform Terhadap Kuliatas Air Sumur Gali di Kelurahan Patingalloang, Kecamatan Ujung Tanah, Makassar 2023

Introduction: site requirements for the construction of a dug well, this is necessary so that the quality of dug well water is safe in accordance with the established rules, Pollution caused by bacteria to water in the ground widens to ± 2 meters at a distance of 5 meters from the source of pollution 3 and narrows to a distance of 11 meters in the direction of the soil flow,&#x0D; Research Method: This type of research is descriptive research, namely to determine the use of silica sand filter media – activated carbon in filter reactors to reduce TDS, Nitrite (NO2), Dissolved Manganese and MPN Coliform with a comparison of the composition of filter media with references to clean water quality standards Permenkes No. 2 of 2023, The sample in this study is 1 dug well located in Pattingaloang Village, Ujung Tanah District, Makaasar City in 2023.&#x0D; Results: The results of this study after filtration interventions of manganese media, activated carbon, and silica sand found that TDS, color, Manganese Nitrite (NO3) has decreased environmental pollution levels in accordance with the Regulation of the Minister of Health of the Republic of Indonesia Number 2 of 2023.&#x0D; Conclusion: The conclusion of the research results is that silica, manganese and activated carbon sand filtration media, TDS, manganese (NO2) nitrate and MPN Coliform can effectively reduce water pollution levels in dug wells in accordance with Minister of Health Regulation No. 2 of 2023. So that the risk of infectious and non-communicable diseases can be overcome by the intervention of filtration media filtration of silica sand, manganese and activated carbon.
The Effect of Corporate Social Responsibility on Financial Performance of Large Manufacturing Firms in Addis Ababa, Ethiopia

Abstract&#x0D; Corporate Social Responsibility (CSR) is a concurrent issue in the world. It is the integration of social, economic and environmental aspects in business operations. The main aim of the investigation was to examine the effect of CSR practice on financial performance of large manufacturing firms in Addis Ababa, Ethiopia. In the study, to measure CSR, the dimensions such as, employee, customer, supplier, community, government and environmental-related practices of firms were used. Financial performance of large manufacturing firms was measured using ROA. Additionally, firm size was employed as a control variable to clearly understand the effect of CSR on ROA. The research was utilized explanatory research design and a quantitative research approach. The data obtained from 81 large manufacturing companies in Addis Ababa, Ethiopia. Stratified sampling method was applied to select the sample form 102 large manufacturing firms. Questionnaire and document analysis of audited financial statements served as data collection instruments. The study used multiple regression analysis model and Ordinary Least Square (OLS) parameters estimator. Based on the regression result, employee, community and government related CSR practice and firm size positively and significantly affect ROA. Suppliers’ related CSR practice has negative relationships and significant effect on ROA. Customers and environment related CSR activities have an insignificant effect on ROA. In general, large manufacturing firms are recommended to apply CSR initiatives to increase their productivity.&#x0D; Key Words: CSR, Financial Performance, ROA, Large Manufacturing Firms
Petrology, geochemistry and petrogenesis of igneous units in the Kuh-Rakhneh district: with respect to mineralization process (Southwest of Birjand, South Khorasan Province)

Petrology, geochemistry and petrogenesis of igneous units in the Kuh-Rakhneh district: with respect to mineralization process (Southwest of Birjand, South Khorasan Province)
La famiglia italiana ieri e oggi: la svolta del Novecento

The Twentieth Century has witnessed great transformations in the family realm both from a social and a legal perspective. This is particularly the case around 1970 when Law no. 898 («Legislation of Cases of Dissolution of Marriage» / «Disciplina dei casi di scioglimento del matrimonio») was passed, which was a «necessary prerequisite» of Law no. 151 1975 («Reform of Family Law» / «Riforma del diritto di famiglia»), often identified as the basis for a new family law framework. Relying mostly on the evolution of the institutions of marriage and filiation, we shall see that the revolution triggered by Law no. 151/1975 is far from over.
Application of Video Reflection Technology in Sports Dance Teaching

Background and Aim: As a new teaching method, the video reflection teaching method has been widely used in sports teaching activities. This study plans to apply the video reflection teaching method to the teaching of sports dance, based on the TAM technology acceptance model, and through literature. Materials and Methods: In this paper, a quasi-experimental research method is adopted, which is divided into experimental class and control class to test the technical quality of sports dance (TQ) before and after, and a questionnaire is used to investigate the students' perception of using technology. Jamovi software was used for statistical analysis and hypothesis testing. Results: Through research, the application of video reflection technology in sports dance teaching, postures, foot movements, basic movements, preparation-movement-recovery. Rotations and turns, independent movements-Coordinated movements and dynamic changes have significant teaching effects, with the greatest influence on dynamic changes, rotations, and turns. Conclusion: Application of video reflection technology in sports dance teaching. It can effectively improve the technical literacy (TQ) of dance movements. Includes posture, foot movements, basic movements, preparation - action - recovery, rotation and turn, independent movement - coordinated movement, and dynamic changes. Notably, the use of video reflection showed particularly significant improvements in rotation and turning, as well as coordination of independent motion and dynamic changes.