Reviewerly/exHarmony huggingface dataset:
Utilization of Pantawid Pamilyang Pilipino Program (4PS) Financial Aide and Pupils’ Academic Performance

This study was conducted to assess awareness on the utilization of Pantawid Pamilyang Pilipino Program (4Ps) in Education of Sta.Monica Elementary School and Matahimik-Bucana Elementary Schools of District II, City Division of Puerto Princesa as reflected in Pupils' academic performance.There were 153 respondents in this study.The descriptive-correlation research design was used in the study.Data were gathered through questionnaires while frequency, percentage, mean and Pearson Moment Correlation Coefficient r were the statistical tools used to analyze the data.Greater in number are the recipients who claimed that the school is 0.7-0.9kilometres away from their home.Majority of the recipients claimed that they complied the 85% of attendance in school. Majority of the beneficiaries have an income between (P1001-P3000) and most of them are high school graduate.The level of academic performance of the recipients of Pantawid Pamilyang Pilipino Program (4Ps) is satisfactory.Beneficiaries are aware of the Pantawid Pamilyang Pilipino Program (4Ps).They always use their allowance in education according to its intended purpose.The level of the awareness of parents/beneficiaries on the utilization of 4Ps allowance has no significant relationship to the academic performance of 4Ps recipients.
PERBANDINGAN HASIL PEMERIKSAAN KONTAMINASI BAKTERI PADA PRODUK TROMBOCYTE CONCENTRATE METODE KONVENSIONAL DAN APHERESIS

Platelet Concentrate (PC) is one of the blood products that is often used for transfusion. The storage temperature for TC products is in the range of 20-24OC which is the optimal temperature for bacterial growth. TC products contaminated with bacteria can cause a dangerous septic reaction. With the development of blood transfusion, apheresis methods emerged for the manufacture and aseptic collection of TC products. The apheresis method is considered safer than the conventional method which has a high chance of bacterial contamination. This study aims to compare the results of the examination of bacterial contamination in conventional TC products and apheresis methods. This study is a comparative descriptive study with a retrospective approach in the form of examining data on bacterial contamination of TC PMI Semarang City during 2019. The results of the examination of the TC apheresis method product showed that there were no TC products that were contaminated with bacteria (0.0%; 0 of 48), while in conventional method, there is 1 TC product that has bacterial contamination (0.3%; 1 out of 360). Fisher exact test on each TC product obtained p value = 1.00 (&gt; 0.05) so that the difference that appears is not significant. Examination of bacterial contamination in conventional TC products and apheresis gave the same good results.
The Effectiveness of Picture Word Inductive Learning Model in Improving Literacy Ability in Early Childhood

Learning literacy for early childhood is very important.It aims to improve reading and understand a word and even a text from an early age.Therefore, various learning models are significant to support students' literacy skills at an early age.To discover the need for an appropriate learning model to improve literacy skills in early childhood, it is necessary to explore and try out an appropriate learning model, in this case, the pictorial word inductive learning.Besides being an effort to find out the prototype of the learning model, it is also to find out the effectiveness of the Inductive Word Picture learning model to improve literacy skills in early childhood.This research is the development of learning creativity.The Inductive Word Picture learning model is a learning model that can be measured its validity and effectiveness.Therefore, this study uses a qualitative descriptive method, the method used for in-depth research on an applied learning model.From the learning process, the learning outcomes can be derived in depth through the variable data obtained in the sample of the research object.So, the hypothesis in this study is the effectiveness of the pictorial word learning model (ILM) in improving literacy skills in early childhood, concerning the research methodology used.To find out, it is necessary to do research in detail by the research methodology that will be used so that the hypothesis in this study is answered and can answer the prototype of the learning model in improving the literacy skills of students at an early age.
Application of Virtual Technology in Cultivating College Students' Moral Personality

Virtual reality technology is a comprehensive simulation technology of the real world using computers, which can provide a vivid and lifelike virtual environment. Since the development of the field of virtual reality, the research has achieved fruitful results. In recent years, many colleges have increasingly neglected the cultivation of moral personality of college students, or that traditional teaching methods are not effective in cultivating moral personality. Therefore, in order to improve the efficiency of moral personality cultivation and education for college students, this article starts with virtual reality technology. From the theoretical level and the perspective of technical application, it discusses the necessity of cultivating college students' moral personality, and puts forward the practical application of virtual reality technology in cultivating college students' moral personality, such as VREX cloud platform, building network cooperative learning system with virtual reality, Multigen Creator platform, etc.
An IoT-based system for a volumetric estimation of human brain morphological features from magnetic resonance images

Chapter Contents: Abstract 7.1 Introduction 7.2 Materials and methods 7.2.1 Improved fuzzy C-means (FCM) clustering algorithm for the extraction of ROI 7.2.2 IoT-based system for the extraction of ROI 7.3 Results and discussion 7.4 Conclusion and future scope Acknowledgments References
The direction and way of AR technology promoting the cultivation of animation talents in Colleges and universities in the information age

In recent years, science and technology have made continuous progress. Relying on various advanced technologies, the social division of labor has been continuously refined, and the social requirements for animation talents are becoming higher and higher. Colleges and universities undertake the important task of cultivating animation talents, but also need to constantly integrate new technology, keep pace with the times and innovate in theory and practice, so as to better cultivate high-quality animation talents. This paper explains AR technology and unity3d engine, analyzes the development of AR industry, and puts forward the direction and ways of talent training in line with the needs of the times and the market.
An External Selection Mechanism for Differential Evolution Algorithm

The procedures of differential evolution algorithm can be summarized as population initialization, mutation, crossover, and selection. However, successful solutions generated by each iteration have not been fully utilized to our best knowledge. In this study, an external selection mechanism (ESM) is presented to improve differential evolution (DE) algorithm performance. The proposed method stores successful solutions of each iteration into an archive. When the individual is in a state of stagnation, the parents for mutation operation are selected from the archive to restore the algorithm’s search. Most significant of all, a crowding entropy diversity measurement in fitness landscape is proposed, cooperated with fitness rank, to preserve the diversity and superiority of the archive. The ESM can be integrated into existing algorithms to improve the algorithm’s ability to escape the situation of stagnation. CEC2017 benchmark functions are used for verification of the proposed mechanism’s performance. Experimental results show that the ESM is universal, which can improve the accuracy of DE and its variant algorithms simultaneously.
Prediction Active Case of Covid-19 with ERNN

SARS-CoV-2 is known as Covid-19 has been spread in all world since end of 2019. Indonesia, including South Kalimantan has detected first Covid-19 in March 2020. This pandemic has affected in all entirely live in Indonesia. This makes Covid-19 be the main focus of the government. The government has provided aid and imposed restrictions on activities. These policies require planning that can be a solution. Careful planning requires an overview of the data on active cases that are positive for Covid-19. This overview can be obtained through prediction. In this research, Elman Recurrent Neural Network (ERNN) was used to predict active cases of Covid-19. Architecture of ERNN was used ERNN with 3 input nodes, 2 hidden nodes, and 2 context nodes. The data used is 277 data, which is then divided into training data and testing data, respectively 90%-10%, 80%-20%, and 70%-30%. ERNN with a learning rate of 0.1 until 0.9 is applied to data on active cases of Covid-19, then Mean Absolute Percentage Error (MAPE) is calculated to find out performance of model generated by ERNN. The results showed that all of MAPE were below 10% with the smallest MAPE as 3.21% for scenario 90:10 and learning rate 0.6. MAPE value which is less than 10% indicates that ERNN has very good predictive ability.
Moving Object Tracking in 2D Using State Estimation

This paper demonstrates the tracking of moving object in 2D using a state estimation algorithm. The proposed work covers the state estimation, its importance, applications, and different algorithms from which this paper mainly focuses on the Kalman filter algorithm and the Moving Horizon Estimation (MHE) algorithm. The explanation begins with the need for state estimation, types of the system models, and state estimation for deterministic and stochastic systems. There is a fundamental description of the Kalman filter algorithm and Moving Horizon Estimation algorithm. The paper describes the whole tracking process and also the implementation of a state estimation algorithm for object tracking using image process tools. The outcome of object tracking using the Kalman filter algorithm is presented using MATLAB software.
ANALISIS TINGKAT KERAWANAN DAN MITIGASI BANJIR PERKOTAAN DI KECAMATAN PULAU LAUT UTARA KABUPATEN KOTABARU

Several efforts are needed in dealing with urban flood disasters to minimize the potential for large losses for the community. By mapping and knowing the pattern of flood distribution, this study was also built to determine the urban flood disaster mitigation system in Pulau Laut Utara District, Kotabaru Regency.&#x0D; The value of the flood susceptibility class interval aims to distinguish the flood susceptibility class, and by determining the intensity of inundation based on the inundation area and the elevation of the flood level. With processing the value from the investigation in Nort Pulau Laut covering several villages and roads, the level of vulnerability to flooding in Dirgahayu Village is 10.24% (low water level), 6.54% (medium water level), 1.33% (high water level). In Sungai Paring Village it was 2.81% (low water level), 10.18% (medium water level), 8.48% (high water level). In Baharu Village, it was 3.69% (low flood), 3.21% (medium water level), 10.87% (high water level). In Semayap Village it was 4.11% (low water level), 2.21% (medium water level), 2.58% (high water level). And in Sebelimbingan Village it was 4.67% (low water level), 3.90% (medium water level), and 8.25% (high water level). With intervals from each flood location, a value of 73.98 was obtained in the category of sufficiently prone to flooding.
Virtual simulators application in the foreign language studying as the factor of students motivating

Our research paper draws attention to the problem of exploiting of the Virtual Reality simulations in studying foreign languages and we also attempt to authenticate the positive impact of employing this technology in forming an educational motivation of the students. The urgency of the investigations was promoted by the utter spreading of the immersive technologies interwoven into all spheres of our daily life. The aforementioned factors arise the significance of changing the pedagogical paradigms and doctrines to be up-to-date with the things change. Our study detected that being a complex phenomenon motivation plays a significant role in the educational process; the experimental cohort comprised 64 first year students of the of the Humanities Department, of the Hotel Business and Tourism Business specialties of the Rostov State Transport University who were asked a list of questions connected with the motivational factors; we chose a “Field Trip” simulation as a learning tool for our experiment and then statistically validated the fact of educational motivation rise after the incorporating of the aforementioned technique into the procedure of the studying of a foreign language.
THE CORRELATION BETWEEN STUDENTS’ ACHIEVEMENT IN READING COMPREHENSION AND WRITING SKILL

The objective of the research was to investigate the correlation between student’s achievement in reading comprehension and writing skill, whether there was any correlation between student’s achievement in reading comprehension and writing skill. The population of this research was 283 students. The researchers took 30 % as the sample so there were 85 students as main subject of research. In this quantitative research, the researcher used correlation study by using Pearson Product Moment to calculate the data. There were two main variables in this research. Reading comprehension (variable X) and writing skill (variable Y). The instruments of this research were reading comprehension test and writing test. The data were collected through test (reading comprehension and writing test). From the calculation by using Pearson Product Moment formula, it was obtained that the value of “r” product moment (rxy) or “r” observation (r0) was 0,436. The degree of freedom (df) was 83. The degree of significance 5% was 0,213, and the degree of significance 1% was 0,278. So, it meant that the hypothesis r0 was bigger than rt (0,436&gt;0,0,213 and 0,436&lt;0,278). The result of hypothesis of this research was alternative hypothesis (Ha) was accepted and null hypothesis (Ho) was rejected. It meant there was correlation between student’s achievement in reading comprehension and writing skill.
ImageCLEF 2022: Multimedia Retrieval in Medical, Nature, Fusion, and Internet Applications

ImageCLEF s part of the Conference and Labs of the Evaluation Forum (CLEF) since 2003. CLEF 2022 will take place in Bologna, Italy. ImageCLEF is an ongoing evaluation initiative which promotes the evaluation of technologies for annotation, indexing, and retrieval of visual data with the aim of providing information access to large collections of images in various usage scenarios and domains. In its 20th edition, ImageCLEF will have four main tasks: (i) a Medical task addressing concept annotation, caption prediction, and tuberculosis detection; (ii) a Coral task addressing the annotation and localisation of substrates in coral reef images; (iii) an Aware task addressing the prediction of real-life consequences of online photo sharing; and (iv) a new Fusion task addressing late fusion techniques based on the expertise of the pool of classifiers. In 2021, over 100 research groups registered at ImageCLEF with 42 groups submitting more than 250 runs. These numbers show that, despite the COVID-19 pandemic, there is strong interest in the evaluation campaign.
Preface to Special Issue on New Technologies of Database Systems

In recent years, database systems have shown new development trends in response to new challenges in data management and analysis posed by new applications and new data types.These trends include the following aspects: (1) innovations in computer hardware and the penetration into artificial intelligence technology have brought new development opportunities for database systems, while scalability, fault tolerance, expandability, and other application requirements have presented new challenges to data management; (2) the surging data volume, heterogeneous data types, and diverse application requirements have put forward higher requirements for the analysis capability and performance of database systems; (3) the changes in applications and requirements such as secure multi-party computation and federated learning have introduced new issues to database security and privacy protection technologies.Thus, it is necessary to utilize and develop existing database theories to form new technologies and system experience.Therefore, this special issue focuses on the core technologies of database systems and looks into the new development and new trends of databases and data management technologies in the context of big data, with a particular emphasis on exploring how to use the profound theoretical knowledge and rich technical achievements in data management technologies to promote the development of new database technologies and solve the core and difficult problems related to data management, analysis, and security.In addition, this issue probes into the related fundamental theories, key technologies, and substantial progress in system design principles, paradigms, architectures, and experience in the process of system development and explores the prospects of their applications in related industries and fields.For the past few years, many scholars in China have attempted to utilize and develop new technologies for database systems, and the representative research results can be summarized as follows.(1) The solutions of database systems for more complex applications and requirements.New application scenarios are generated in industries such as finance, social media, and ecommerce platforms, which put forward new requirements for database systems.On the one hand, compared with traditional databases, distributed database systems take advantage of their
Today's positive thinking in modern future educators as a psychological mechanism of human well-being, health and professional success

It is known that, there are experimental studies on the psychological study of positive thinking, which should be taken into account in the process of organizing the educational process and determining the effectiveness of educational issues, as well as in pedagogical activities. It is believed that, the positive thinking, thoughts, emotions, professional constructive behavior, flexibility emerge as one of the important sources for the formation and development of attitudes toward others in cases of success. In the article we are applying that, the research findings the most prospective educators have positive thinking, attitudes, voluntary self-management, motivation to succeed, autonomy, adequate self-assessment, resilience, acceptance of others, socio-psychological adaptation, communication, tolerance, the most reasonable traits such as positive attitude, reflexivity, self-confidence reasonable features such as independence may emerge.
Serials Management in Special Libraries: Present and Future Relationships Between Libraries and Vendors

The management issues facing those who deal with serials in special libraries may be common to all special libraries, unique to the particular discipline, or shared by all libraries struggling to deal with serials in the 1990s. A law librarian and a medical librarian described the history, nature, and use of serial literature in their respective subject areas, and discussed important customer issues facing their libraries, including the financial aspects. They 256were joined by a vendor’s representative who summarized the similarities and differences in these library situations from a vendor’s perspective, including the opportunities and limitations of the vendor/special library relationship. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-342-9678. E-mail address: getinfoghaworth.com]
Internet-of-Things (IoTs) Architecture and its Diverse Layers Affect Safety, Transparency and Integrity

Abstract: The Internet of Things (IoT), which includes anything as of conventional equipment to popular household gadgets like WSNs and RFID, has played an important role since its creation. With the enormous promise of IoT comes a slew of challenges. This research focuses on safety harms amongst other things. IoT security challenges will reveal themselves in IoT since it is based on the Internet. Furthermore, because the Internet of Things is made up of three layers: insight, transportation, and submission, this article will look at safety challenges at every layer unconnectedly and attempt to find out new harms and solutions. This research delves at cross-layer mixed addition obstacles and safety concerns, as well as IoT security issues in general and seeks to overcome them. Finally, this research compares and contrasts IoT and traditional network security concerns, as well as addressing new IoT security issues. Keywords: The Internet of Things (IoT), Security, Authentication, Issues, Transparency, RFID, WSN.
Correction to: Taking the Confusion Out of Multinomial Confusion Matrices and Imbalanced Classes

In the originally published version of chapter 2, the Table 1. contained an error in a formula. The formula error in Table 1. has been corrected.