Reviewerly/exHarmony huggingface dataset:
Data Wisdom

May 2019: "We make trends in data visible," Torben says when I ask him what he does.Torben is a civil servant working at the national level figuring out how to use data to optimize clinical performance.He spends a good deal of his time facilitating informed debates among politicians on which areas of concern to prioritize.To do so, he works with finding ways of turning data into something visual, such as graphs, maps, or color-coded tables: "It's so that you can say, 'Oh, there was something interesting here.It's going down, and it's been going downwards for years.Why is it doing that?Why is this Region red?'"A curve or a color coding inspires change, Torben says.He first mentions problematic areas, the "red" ones, as examples, but later he talks about using measurements to celebrate achievements and learn from best practice.All his examples revolve around learning through comparisons: over time, as curves are going up or down, or geographically and organizationally, through revelation of differences between Regions and Municipalities, or units.The graphic visualizations build on data from clinical reporting systems, administrative systems, or both.For Torben, the key point is that interventions should be "based on facts rather than opinion."Considering how I have shown throughout the preceding chapters that people in paradoxical ways produce very different facts with similar data, it is time to examine in more depth such claims about factuality.It is time to explore the relationship between data and wise decisions.
A new formulation of sparse multiple kernel k$$ k $$‐means clustering and its applications

Abstract Multiple kernel ‐means (MKKM) clustering has been an important research topic in statistical machine learning and data mining over the last few decades. MKKM combines a group of prespecified base kernels to improve the clustering performance. Although many efforts have been made to improve the performance of MKKM further, the present works do not sufficiently consider the potential structure of the partition matrix. In this paper, we propose a novel sparse multiple kernel ‐means (SMKKM) clustering by introducing a ‐norm to induce the sparsity of the partition matrix. We then design an efficient alternating algorithm with curve search technology. More importantly, the convergence and complexity analysis of the designed algorithm are established based on the optimality conditions of the SMKKM. Finally, extensive numerical experiments on synthetic and benchmark datasets demonstrate that the proposed method outperforms the state‐of‐the‐art methods in terms of clustering performance and robustness.
An Adaptive Simultaneous Multi-Protocol Extension of CRAFT

An exponential number of devices connect to Internet of Things (IoT) networks every year, increasing the available targets for attackers. Protecting such networks and devices against cyberattacks is still a major concern. A proposed solution to increase trust in IoT devices and networks is remote attestation. Remote attestation establishes two categories of devices, verifiers and provers. Provers must send an attestation to verifiers when requested or at regular intervals to maintain trust by proving their integrity. Remote attestation solutions exist within three categories: software, hardware and hybrid attestation. However, these solutions usually have limited use-cases. For instance, hardware mechanisms should be used but cannot be used alone, and software protocols are usually efficient in particular contexts, such as small networks or mobile networks. More recently, frameworks such as CRAFT have been proposed. Such frameworks enable the use of any attestation protocol within any network. However, as these frameworks are still recent, there is still considerable room for improvement. In this paper, we improve CRAFT’s flexibility and security by proposing ASMP (adaptative simultaneous multi-protocol) features. These features fully enable the use of multiple remote attestation protocols for any devices. They also enable devices to seamlessly switch protocols at any time depending on factors such as the environment, context, and neighboring devices. A comprehensive evaluation of these features in a real-world scenario and use-cases demonstrates that they improve CRAFT’s flexibility and security with minimal impact on performance.
[Model for Research of Socio-Cultural Environment for Achieving a More Effective Organization and Management of the Learning and Participation Process of Children and Students, Belonging to Vulnerable Communities

The aim of the study is to provide directors of educational institutions, experts from regional education departments, as well as specialists in municipalities with an accessible model for researching families with varying degrees of vulnerability with a view to more effective organization and management of learning and participation. of children and students from these families. Identifying and getting acquainted with the specific features of the living environment of communities and especially the most at-risk families between them, allows each teacher to change themselves and the educational environment to make it more inclusive and meet the individual needs of every child. The model allows every pedagogical specialist who finds himself in such a cultural and educational environment to organize and purposefully subordinate his activity to get to know the specifics of life of his graduates and put his work on a scientific basis. The research can be reproduced with each formed problem community in urban or rural environment.
Fake Product Detection Using Blockchain

Abstract: Many applications have been developed using blockchain in recent years as its popularity has grown. The cryptocurrency Bitcoin is a well-known example of a Blockchain application since it not only solves the issue of double spendingin an efficient manner but also has the ability to independently verify the veracity of transactional data. As a result, any application that uses Blockchain technology as its fundamental architecture guarantees the integrity of its data. Since Blockchain technology is decentralised, consumers do not fully depend on merchants to verify the authenticity of their purchases. We outline a decentralised Blockchain system with product anti- counterfeiting so that producers can utilise it to deliver authentic goods without having to oversee directly owned storefronts, whichcan significantly reduce the cost of product quality assurance.
PASPORT: A Secure and Private Location Proof Generation and Verification Framework

Abstract: Recently, there has been a rapid growth in locationbased systems and applications in which users submit their location information to service providers in order to gain access to a service, resource, or reward. We have seen that in these applications, dishonest users have an incentive to cheat on their location. Unfortunately, no effective protection mechanism has been adopted by service providers against these fake location submissions. This is a critical issue that causes severe consequences for these applications. Motivated by this, we propose the Privacy-Aware and Secure Proof Of pRoximiTy (PASPORT) scheme in this article to address the problem. Using PASPORT, users submit a location proof (LP) to service providers to prove that their submitted location is true. PASPORT has a decentralized architecture designed for ad hoc scenarios in which mobile users can act as witnesses and generate LPs for each other. It provides user privacy protection as well as security properties, such as unforgeability and non transferability of LPs. Furthermore, the PASPORT scheme is resilient to prover–prover collusions and significantly reduces the success probability of Prover–Witness collusion attacks. To further make the proximity checking process private, we propose P-TREAD, a privacy-aware distance bounding protocol and integrate it into PASPORT. To validate our model, we implement a prototype of the proposed scheme on the Android platform. Extensive experiments indicate that the proposed method can efficiently protect location-based applications against fake submissions
A cross-camera pedestrian trajectory tracking method in shopping mall environment

Pedestrian trajectory in the shopping mall environment plays an important role in criminal investigation, passenger flow statistics, big data recommendation and many other fields. In this paper, a pedestrian trajectory tracking method is proposed, which is based on artificial intelligence algorithms. The method is composed of three modules. First, YoloX is applied to detect pedestrians; secondly, the BYTE algorithm is applied to track pedestrians; finally, the FastReID network and matching algorithms are applied to identify pedestrians. In addition, we also use the BrainFrame platform to package and deploy the algorithm. Experiments show that this method can effectively perform person re-identification tasks with low performance requirements, thus contribute to pedestrian trajectory tracking task in shopping mall environment.
DRIVERS OF AGRICULTURAL FOREIGN DIRECT INVESTMENT AND ITS IMPACT ON FOOD PRODUCTION IN NIGERIA

Foreign Direct Investment is one of the growth promoters in many sectors of the economy including the agricultural sector. The study analysed the drivers of agricultural FDI and gauge its impact on food production in Nigeria. Annual time series data spanning from 1975 to 2017 were obtained from Central Bank of Nigeria, National Bureau of Statistics and World Bank’s Development Indicators Database. Descriptive analysis, stationarity analysis with Augmented Dickey Fuller and Philip Perrons’ unit root tests, co-integration test with Autoregressive Distributed Lag Bound test, Autoregressive Distributed Lag-Error Correction Model analysis were done to obtain results for the study. ARDL-ECM results showed that GDP at P≤0.1, government expenditure on agriculture at P≤0.1, inflation rate at P≤0.01 and real exchange rate at P≤0.01 levels of significance were the significant determinants of FDI inflow to agricultural sector in Nigeria in the long run model. In the short run, GDP at P≤0.1, government expenditure on agriculture at P≤0.1 and real exchange rate at P≤0.01 levels of significance were the significant drivers of Agricultural FDI in Nigeria. The speed of adjustment (ECM (-)) was 102.74%. Agricultural FDI also had significant long run and short run impact on food production in Nigeria at 1% and 1% levels of significance, respectively. The study concluded that FDI inflow had significant positive impact on agricultural sector in Nigeria. It was recommended that government should promote policies that are directed at employing all promotional resources to attract more FDI inflow to the agricultural sector so as to boost its productivity and contribution to the overall economy of Nigeria.
EMPIRICAL INVESTIGATION OF THE FACTORS AFFECTING SMALL AND MEDIUM ENTERPRISES IN NORTH-CENTRAL NIGERIA

The study was conducted in three (3) States of the North-Central Nigeria to investigate the factors hindering the performance of SMEs in the area. The survey covered a period of five (5) months from March to July, 2019. The study employed the case study design whereby descriptive and explanatory data were captured by the study. A multi-stage sampling technique was employed to select 720 respondents from 18 Council Wards across the three States of North-Central Nigeria. Qualitative and quantitative data were collected through well-structured questionnaire and in-depth interview. The results of the inferential statistics revealed that SMEs performance were influenced by internal and external factors such as entrepreneurial characteristics, marketing skills, access to external financing and other environmental factors. The regression results showed that the most significant factors affecting the performance of SMEs in the study area were: demographic characteristics (age and educational level of SMEs owners and managers), capital structure (source of initial capital and capital size) and marketing strategy (advertisement). The study further found that capital size has the highest significant impact at t = 28.22; and P&lt;0.000 on SMEs performance compared to other factors implying that those SMEs owners who invested large amount of money get higher income compared to those who invested little. The study concluded that government should tailor its policies to enhance SMEs performance by providing adequate training to SMEs owners and managers so that SMEs can grow and prosper in building the economy of the States. The study recommended that government should improve SMEs access to finance by deepening the reform of the banking system such as reform on interest rate and collateral requirements for effective performance of SMEs in the study area.
Iodine Intake, UIE Levels, Nutritional Status and Academic Achievements in School-Age Children in Magelang, Central Java

&lt;div&gt;&lt;table cellspacing="0" cellpadding="0" align="left"&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td align="left" valign="top"&gt;&lt;p&gt;&lt;em&gt;Iodine deficiency in school children is estimated at 25% worldwide. Complete brain development occurs at the age of 7 years and the development of cognitive function can be increased until 15 years with normally iodine status, namely adequate intake of iodine and Urinary Iodine Excretion (UIE). This study aims to analyze the relationship between iodine intake, UIE, height for age and academic achievements in school-age children. This research was an analytic observational study with a cross sectional design. This research was conducted in 4 elementary schools in Pakis District in March 2019. The samples were selected by random sampling, totaling 177 subjects. The dependent variable was the school's academic achievements in the form of midterm exam scores for maths, arts and sports. While the independent variables were iodine intake, UIE and height for age. The assessment of iodine intake was using a 24-hour recall form and interpreted using the 2007 Nutrisurvey application. The analysis method for UIE is the acid digestion method. Height for age is a child's nutritional status that can be determined based on anthropometric measurements. Academic achievements is learning outcomes as measured by midterm exam scores iin maths, arts, culture and sports. Data was analyzed by Linear Regression. Iodine intake increased math (b=0.01; p=0.014), art and sport (b=0.03; p=&amp;lt;0.001) scores. UIE levels increased math (b=0.01; p=0.001), art (b=0.01; p=0.002) and sport (b=0.01; p=0.003) scores. Height for age increased sport scores (b=1.58; p=0.010). The conclusion of this study is that height for age increase sports ability and iodine intake also UIE can increase academic achievements.&lt;/em&gt;&lt;/p&gt;&lt;p&gt; &lt;/p&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;strong&gt;&lt;em&gt;Keyword: Academic Achievements, Height for Age, Iodine Intake, UIE &lt;/em&gt;&lt;/strong&gt;
Optimization Theory and Application for Intelligent Systems [Editorial]

This is my first editorial for <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">IEEE Systems, Man, and Cybernetics Magazine</i> , and I am honored to take the role as its editor-in-chief. I highly appreciate the effort of former editor-in-chief Prof. Haibin Zhu in the editing process of collecting the exciting feature articles for this issue.
VERBAL CARD TO IMPROVE STUDENTS’ WRITING COMPREHENSION IN PASSIVE VOICE

Rini Rismiyati, Rizqiyawati. 2021. Verbal Card to Improve Students’ Writing Comprehension In Passive Voice. Lesson Study, English Education Teacher, SMK Muhammadiyah Kota Pekalongan. This research was conducted under the considerations that tenth grade students of Vocational High School need an interesting strategy in teaching learning process. In this case, this research applied the strategies of learning based on the Verbal Card in teaching writing. In this reserach, the objectives of the study are (1) to know the students’ motivation to learn english, (2) to know the writing comprehension in passive voice of the second grade students of SMK Muhammadiyah Kota Pekalongan who are taught using Verbal Card. This research used quantitative research. The population of this research was the second grade students of SMK Muhammadiyah Kota Pekalongan. The sample of this research was class XI RPL. The instrument of collecting data used by the researcher was a test. The test was post-test. Based on the statistical analysis, the research findings show that (1) there is the students’ motivation to learn english, (2) the writing comprehension in passive voice of the second grade students of SMK Muhammadiyah Kota Pekalongan who are taught using Verbal Card is good. It is shown by the mean of post-test 80.45, Based on the research findings, the researcher suggests that the teacher may use an interesting method in writing class. Teacher can develop his/her students writing skill by using Verbal Card because it proved that Verbal Card is effective to be used to teach writing in passive voice.
Balancing Techniques for Improving Automated Detection of Hate Speech and Offensive Language on Social Media

On social media networks like Twitter, Facebook, and Tumblr, people frequently share information. However, these platforms are also notorious for the spread of hate speech and insults, often posted anonymously. Hate speech involves using violent, abusive, or aggressive language towards a particular group based on factors such as gender, race, religion, or region. The prevalence of hate speech on these websites is a major concern, and manually detecting it can be time-consuming. To address this issue, this study presents an automated hate speech detection model that is evaluated on a publicly available Twitter dataset. The proposed method emphasizes data pre-processing, including stemming, term frequency-inverse document frequency (TF-IDF) for feature extraction, and various sampling techniques (random sampler, synthetic minority over-sampling technique (SMOTE), and ALL-KNN) to balance an imbalanced dataset. The logistic regression, support vector machine (SVM), and k-nearest neighbor (k-NN) machine learning classifiers were trained and tested using hold-out cross-validation to reduce overfitting and evaluate performance. The performance was evaluated using metrics such as accuracy, precision, and confusion matrix. The results showed that the logistic regression classifier using the SMOTE approach had the best performance, with an accuracy of 82%, a macro average of precision, recall, and an F1-score of 80%, 82%, and 79%, respectively.
Educational fields of higher education graduates in European Union

The processes of automation and globalization are resizing workplaces through their changes. A picture of the labor market can be provided by the educational fields of the graduates. Thus, depending on the educational field, the situation regarding the distribution of bachelor’s graduates is analyzed in the article. The importance of the quality of the education and vocational training processes can be considered to be the basis of addressing the major challenges that are manifesting worldwide. Economic and social pressures influence the development of skills and competencies even for higher education. Training for the purpose of employment also contributes to increasing employability. The degree of access to jobs is higher when the level of education is higher. For the age group 15 to 64, this article presents the share of graduates having an education level between 5 and 8. Quality education can contribute to sustainable development. Thus, to identify solutions to problems that may arise in a community, the contribution of education can increase by increasing the life quality of the members from that community. In this context, for the 30–34 age group, at European level, the evolution of graduates with a tertiary level of education is analyzed. For employers, it is very important to know both the level of education and especially the fields in which they are trained. This is one of the reasons why the authors of the study carried out this analysis. Taking into account the classification of graduates according to the educational field, the research presents the situation for each of the five fields for which in 2020 there were the most numerous bachelor’s graduates.
A Study on the Design Management Model for Financial Firms - Focusing on the cases of Life Plus and Hyundai Card -

The era of the Fourth Industrial Revolution began and the boundaries between industries collapsed. And as competition intensifies, various corporate management problems are emerging. As customers' needs become vast, companies have difficulty communicating with them. To solve this, the need for design as a key element of management has become more noticeable. In particular, this trend is evident in financial firms that have relatively lacked awareness of the value of design. Accordingly, Hanwha Life Plus and Hyundai Card were selected as research targets to examine how financial companies perceive design as management factor. It first looked at each management strategy and drew limitations. Then, they were compared and analyzed and design management strategy for financial firms was derived based on common features. So, it will propose design management as a key strategy to overcome the limitations of today's companies, provide design management models applicable to today's competitive financial industries.
Low Reading Literacy Skills of Elementary Pupils in the Philippines: Systematic Review

Abstract: This meta-synthesis aims to synthesize factors that affect the low reading literacy skills among pupils enrolled in elementary schools in the Philippines. Fifteen (15) studies from 2013 to 2022 were screened and selected using a set of inclusion and exclusion criteria. Published papers from Google Scholar, CrossRef, and OpenAlex databases from Publish or Perish software were used to collect studies related to the factors affecting the pupils’ low reading literacy skills. The Critical Appraisal Skills Programme (CASP) checklist was utilized to quality check data, and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow diagram was used to organize the studies that are included. By using thematic analysis, the factors affecting the low reading literacy skills in Philippines’ elementary learners were identified as the meta-theme. Accordingly, seven sub-themes emerged namely, lack of reading elements, inclusion of learners-at-risk, lack of reading enthusiasm, teacher’s incompetence, shortage in reading materials and facilities, parental involvement and student’s health. Therefore, when creating development plans for the learners, the requirement for reading level advancement must be taken into account. It is recommended that a restructured reading program with constant progress monitoring and reading diagnosis be conducted in Philippine elementary schools.