Reviewerly/exHarmony huggingface dataset:
Using Blockchain in Pharmaceutical Industry to Prevent Vaccine Counterfeiting

As humanity struggles to survive the repercussions of COVID-19 pandemic outbreak, black marketers are counterfeiting with the supply chain of medicine, posing a threat to the entire nation. Blockchain in pharma has a broad range of applications due to the numerous benefits that the technology offers. This paper has proposed a blockchain-based supply chain management for minimizing the counterfeiting with the vaccines and hence can be implemented for other medicines also. This work has also discussed the challenges toward the vaccine distribution and administration in India. Lastly, the implementation is provided and the system is tested for scalability with respect to time followed by the conclusion of the work.
FedScore: A privacy-preserving framework for federated scoring system development

We propose FedScore, a privacy-preserving federated learning framework for scoring system generation across multiple sites to facilitate cross-institutional collaborations.The FedScore framework includes five modules: federated variable ranking, federated variable transformation, federated score derivation, federated model selection and federated model evaluation. To illustrate usage and assess FedScore's performance, we built a hypothetical global scoring system for mortality prediction within 30 days after a visit to an emergency department using 10 simulated sites divided from a tertiary hospital in Singapore. We employed a pre-existing score generator to construct 10 local scoring systems independently at each site and we also developed a scoring system using centralized data for comparison.We compared the acquired FedScore model's performance with that of other scoring models using the receiver operating characteristic (ROC) analysis. The FedScore model achieved an average area under the curve (AUC) value of 0.763 across all sites, with a standard deviation (SD) of 0.020. We also calculated the average AUC values and SDs for each local model, and the FedScore model showed promising accuracy and stability with a high average AUC value which was closest to the one of the pooled model and SD which was lower than that of most local models.This study demonstrates that FedScore is a privacy-preserving scoring system generator with potentially good generalizability.
Safety and Theft Detection in Autonomous Vehicles

Abstract: The proposed work revolves around bolstering automotive cybersecurity and safety through a comprehensive strategy that encompasses various technological facets. The workflow commences with an advanced accident detection mechanism, facilitated by a set of IoT components such as bump switches, buzzers, ESP32 modules, switches, and device sensors. Upon detecting an accident, these components collaborate to promptly notify relevant entities, potentially minimizing the aftermath of collisions. Furthermore, the incident data is securely stored in the cloud, ensuring its availability for subsequent analysis and response coordination. The crux of this work lies in its application of machine learning algorithms—K-Means and Support Vector Machine (SVM) to tackle cybersecurity challenges. These algorithms undertake the vital task of classifying different types of cyber attacks. By learning patterns from labelled datasets, the algorithms become adept at identifying and categorizing various cyber threats. This classification empowers the system to swiftly recognize and respond to potential attacks, mitigating potential damages and risks to the vehicle's security. Another noteworthy feature of this work is its proactive stance against theft. Through a network of IoT components including switches and sensors, the system is primed to detect any unauthorized tampering or theft of vehicle parts. In such instances, the system triggers immediate notifications to relevant parties, thereby facilitating swift intervention and recovery measures. This real-time response capability greatly enhances the security of the vehicle and its components.
Ubiquitous Computing with Radio Frequency IDentification Tags

Ubiquitous computing is seen as a promising and revolutionary technological path. The goal of promoting marketable innovations and applications is addressed through intense research and developmental activities and policy strategies. This article discusses the state-of-the-art approach of the use case and the drawbacks of identification tags for radio frequency. Radio Frequency IDentification or RFID technology is a growing trend among separate automated technologies for identification. RFIDs are used in construction, engineering, chemical, manufacturing, retail, logistics, and other public industries. The importance and various advantages of RFID in different industries are therefore sometimes different. In this paper, we have performed an extensive literature survey of its current applications and the security measures that can be taken to improve the system. The paper gives an extended model of possible RFID applications in the field of mass gathering and other related applications such as crowd management and stampede management. To manage or optimize the degree of mortality rate concerning the size of the crowd, the paper proposes algorithmic approaches that can be implemented to minimize the degree of mortality. At the end of the RFID applications, other suggested applications have also been provided. Apart from the current RFID security measures, some proposed security solutions such as Tag Data Security, Maintaining Reader Integrity, Personal Privacy, and Improved Hash Lock have also been provided.
WEAVING AN EXPANDED SONIC PRACTICE: PROPOSING A TEXTILIC SONIC METHOD

Abstract This article discusses the way textile metaphors can act as catalysts for reflection in my practice as a trumpet performer and composer. Metaphors such as ‘fibre’, ‘spin’, ‘yarn’, ‘ply’, ‘weave’, ‘loom’, ‘drape’ and ‘felt’ are engaged as lenses through which the dynamic, contingent and tailorable interactions are made between sonic and extra-sonic elements in my expanded practice. The metaphors are engaged to shape instrumental techniques, improvisation, form, audiovisual media, physicality and spatial design. In this article, I describe how I developed my own expanded sonic practice by using Tim Ingold's concept of ‘textility’, expressed as a Textile Sonic Method (TSM). I demonstrate the application of this method using a subset of textile metaphors as the basis for the development of new double-bell trumpet techniques and applications in a range of compositions: Gradient (2020–23), for double-bell trumpet, live video and sound processing, co-composed with Olivia Davies and Nick Roux; Untitled (2021), for double-bell trumpet, portative organ and electronics, co-composed with James Rushford; and my own work Charcoal VI (2017), for spatialised, amplified double-bell trumpet. This article outlines the potential for the application of metaphor as a creative catalyst in an expanded sonic practice.
DIAHEMITONIC MODALITY: A QUARTER-TONAL COMPOSITION SYSTEM

Abstract This article describes a design process for a composition system based upon the quarter-tone scale. As the semitone and quarter-tone scales share the same properties, a musical grammar based upon the former is used as a model to construct an analogous musical grammar based upon the latter. Within the scope of diatonic modal music, the organisation of pitches and durations is analysed from a scientific perspective. Several parameters are taken into consideration: scale, mode, chord, cadence, metre and rhythm. The one-to-one mapping of each facet of diatonic modality onto quarter-tonality results in diahemitonic modality.
RELATIVE INTONATION: NON-SYMMETRICAL IMPLICATIONS OF LINEAR AND LOGARITHMIC INTERVALLIC MEASUREMENT

Abstract This article investigates intervallic measurement and the tacit limitations engendered by a prevalent symmetrical perspective of measuring intervals. Various numerical and instrumental limitations and further detail of harmonic and melodic structures, such as Farey sequences, are illustrated. This approach distinguishes itself from a perspective of prime limits, explored by Harry Partch and others. A standardisation of ‘microtonal’ notation is not suggested; rather, the restrictions provided by any such standardisation are re-examined through an objective lens of ratios, to harness the generative potential of numbers. An orchestration-led approach to composition is described, where the tuning limitations of instruments are utilised for idiomatic composition. Tuning practices that ‘evade’ the octave are also discussed, including gamelan, mbira and three scales found by Wendy Carlos. The article concludes with a section on the construction of harmonic systems in the absence of instrumental influences.
ANALYSIS OF FREQUENCY CONTENT AND STATISTICAL RELATIONSHIP AMONG EARTHQUAKE PARAMETERS OF SEISMIC DATA

The frequency content of the strong-motion seismic data collected from seismic stations by the Bangladesh Meteorological Department (BMD) using GL-S60/120 broadband seismometers of earthquakes in and around Bangladesh is examined. In addition, the statistical relationships among various earthquake parameters, such as the peak ground velocity (PGV), magnitude, epicentral distance, and time of arrival of p-and s-waves of the collected data, are analyzed. Approximate seismic wave velocities are also obtained. The Fourier and wavelet analysis results reveal delicate differences in the frequency content of the p-and s-waves occurring during earthquakes. These results are compared to those generated from the STEAD dataset, which contains seismic waveforms collected in the U.S., France, and Greece regions. Regression analysis on the BMD data derives relationships among the aforementioned parameters. Collected data from some stations show perfect linear relationships among PGV and the travel time of seismic waves with magnitude and epicentral distance, whereas, in other stations, such relationships are not significant. Plausible explanations for these disparities are provided along with similar regression analysis using the STEAD data. The findings are useful for earthquake early-warning systems, geology research, seismic risk zone delineation, and seismic hazard forecasts.
The Effectiveness of Using Crosswords to Improve Critical Thinking Skills in Economics Learning in Class XI Students at SMAN 5 Pekanbaru

This study aims to determine the effectiveness of using crossword media to improve students' critical thinking skills and to find out the improvement before and after using crossword media. This type of research is experimental research using the One Group Pretest-Posttest research design. In this study, the population was students in class XI IPS 2 at SMAN 5 Pekanbaru for the 2022/2023 school year with a total of 184 students, and the samples were students in class XI IPS 2 at SMAN 5 Pekanbaru for the 2022/2023 academic year with a total of 37 students. educate. Research data collection was carried out by distributing test questions in the form of pretest and posttest with a total of 12 multiple choice questions each. Thus it can be concluded that the use of crossword media is quite effective in learning and there is an increase in the average of students before and after using crossword media.
Kyle Motl, Bells Plucked from Air: A Guide to (Mostly) Pizzicato Harmonic Techniques for the Double Bass, Bandcamp, $26.

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Improving Student Learning Outcomes Through the Active Knowledge Sharing Method Aided by Crossword Media

This study aims to determine the increase in student learning outcomes through the Active Knowledge Sharing method, assisted by crossword puzzles in economics class XII-IPS2 SMAN 3 LANGGAM. This research is a type of Classroom Action Research (CAR). The research subjects were 24 students of class XII-IPS2 SMAN 3 LANGGAM. The data collection is done through documentation and tests. The data analysis technique was performed using the parametric statistical method, namely the Paired Sample T-Test T-Test analysis technique. The results showed that: 1) The value of tcount in the calculation of the Pre-Test value to the Post-Test value of Cycle I was -6.086 with Sig. (2-tailed) 0.000. Because the value of Sig. (2-tailed) of 0.000 0.05, this indicates that there is a significant difference between the Pre-Test value and the Post-Test value of Cycle I. 2) The tcount in the calculation of the Pre-Test value against the Post-Test value of Cycle II is - 9,853 with sig (2tailed) 0,000. Because the value of Sig. (2-tailed) of 0.000 0.05, this indicates that there is a significant difference between the Pre-Test value and the Post-Test value of Cycle II. This means that there is an increase in student learning outcomes through the Active Knowledge Sharing method, assisted by crossword puzzles in economics class XII IPS2 SMAN 3 LANGGAM.
An Image Feature Matching Algorithm with Clustering Constraints

Abstract Aiming at the problem that the traditional ORB feature matching algorithm has many mismatches and poor robustness, a feature matching optimization algorithm with clustering constraints is proposed. Firstly, the K-means++ algorithm is used to assign classification labels to the feature points obtained in the current image, and the clustering region is redivided. Secondly, the corresponding clustering region is found in the next picture, and the feature points in the region are also assigned classification labels. Then, the classification labels of feature points in the two images were compared during matching, and the inconsistent matching point pairs were removed. Finally, the RANSAC algorithm is used to optimize the matching results, and the results are verified. The results show that the proposed algorithm can effectively eliminate the false matching points, and the running speed is greatly improved.
First Language Interfere in EFL Classes: Revealing Students’ Perspectives and Teachers’ Reasons in ELL

Multilingualism is a common phenomenon among Indonesian students who are proficient in both national and local languages. However, the use of the first language (L1) in English as a Foreign Language (EFL) classrooms has been a subject of ongoing debate. This study explores the use of the first language (L1) in English as a Foreign Language (EFL) classrooms by investigating the perspectives of Indonesian students and teachers’ reasons. The study used a qualitative approach with a in-depth semi-structured interviews conducted with teachers, and questionnaire for the students, convenience sampling was used to select 105 participants from grade 12 of IPA, IPS, and Bahasa. Results showed that the majority of students had a positive perspective on the use of L1 by their English teachers during lessons. However, there was no significant difference in the students' perspectives based on gender and major classes. Teachers' reasons for using L1 included bridging students' knowledge, motivating students, and creating an active learning atmosphere. However, the overuse of L1 was found to be a potential problem, as it could lead to a lack of mastery of the target language. The findings suggest that the use of L1 in EFL classrooms can be beneficial but should be used in moderation to avoid students becoming too reliant on it. Teachers should use L1 as a means to facilitate learning, not as a substitute for the target language. This study provides important insights into the use of L1 in EFL classrooms from the perspectives of both students and teachers. These findings have important implications for language teaching practices and policies, not only in Indonesia but also in other multilingual contexts worldwide. Further research is needed to explore the long-term effects of L1 use on language acquisition and to develop effective strategies to minimize its negative impact.
Data breach and privacy in the digital era

The trend of data breaches globally is attracting concerns from business owners and the government of different countries. Notwithstanding the multiple pieces of legislation and strict requirements for reducing crime, there has been an exponential increase in data breach incidents. These crimes result in the loss of billions of dollars annually from small entities and large enterprises. Data breaches did not only start during the digital era with technological advancement; they started when individuals and organizations stored and maintained their data and records on-premises. However, as technology advances and computer systems become more accessible and affordable, coupled with poor management of sensitive documents, data breaches occur when individuals view other people’s files without authorization. The rate of data breaches rose from 1980 to the early 2000s, giving rise to awareness of the canker. Laws and regulatory agencies such as Health Insurance Portability and Accountability Act (HIPAA)and Payment Card Industry (PCI) Data Security Standards were then established to guide sensitive data and the custodians. Regulatory frameworks developed as best practices to secure sensitive information are, however, not being implemented exhaustively, thereby not able to gatekeep satisfactorily. Data breach frequency is high in the digital era. The digital era exposes organizations and individuals continually to potential security breaches. Technologies like artificial Intelligence, machine learning, and data modeling make it possible to design algorithms and neural networks that help anticipate events and generate more data. Subsequently, fling open the gates to potential data breaches. In essence, it becomes absolutely necessary to consider the aftermath of information security and privacy in this digital era.
Monitoring System for Detecting Non-inclusive Situations in Smart Cities

Disability is a very important issue in our society, as evidenced by frequent awareness campaigns. One specific area that deserves special attention is the creation and assessment of solutions that ensure the genuine inclusion of persons with disabilities in smart cities. In this regard, this work proposes a method for detecting non-inclusive situations for people with mobility problems and communicate such incidence to public services. The proposed approach intends to facilitate this task by automatically detecting obstacles in the environment and measuring the distance between each person and the different obstacles in order to identify potential non-inclusive situations. This is done through the combined use of OpenCV and YOLO-v5.
Storytelling One Day One Book Terhadap Kemampuan Bahasa Ekspresif Anak Usia 4-5 Tahun

Early childhood, which has an age range between 0-8 years, is a golden age, so it is very appropriate if stimulation is given according to the stages of their age and development, through storytelling it will make children try to remember all the components in the story, starting from the characters to the plot. stories and moral values contained therein. stimulate children to practice remembering by retelling the whole story using their own words so that their expressive language development can develop optimally. Early childhood education is the main foundation in developing the quality of human resources. Through language humans can relate to each other, can share experiences, learn from each other, and improve intellectual abilities. Children will experience difficulties in learning through play if they do not have enough language skills. Language is the main capital in the effort to get information and communicate in life. The method used in this study is a qualitative descriptive research method which aims to determine the development of expressive language skills in children aged 4-5 years through one day one book storytelling in ABA 72 Kindergarten. The research was conducted from 05-23 September 2022 as many as 3 cycles with a sample of 15 students from group A Kindergarten 'ABA 72 South Bekasi, Bekasi City showed that the development of expressive language skills possessed by children aged 4-5 years through storytelling one day one book experienced a significant increase.
Competences of Physical Education Teachers in Education Supported by Digital Technology

The application of digital technology in teaching physical education provides a basis for its improvement in the direction of promoting physical activity and student development. As one of the most important subjects of the teaching process, teachers have a fundamental role in achieving the goals and tasks of physical education. Physical education teachers are required to develop competences based on which they would implement digital technology in physical education classes in compliance with the imperatives of modern digital education. Therefore, this research is focused on the competences of physical education teachers in education supported by digital technology. The aim of this research is to determine the competences of physical education teachers necessary to fulfil their role in education supported by digital technology. The method used in this theoretical research is the method of theoretical analysis. The technique of content analysis was used. The research instrument consists of the relevant literature on this topic. The theoretical analysis points to a need to expand and improve the digital competences of physical education teachers, which can be achieved by joint action of formal and informal education systems in developing programs that would provide a basis for the professional development and empowerment of physical education teachers to use digital technology with more certainty and purpose in teaching physical education.
The Level of Organizational Effectiveness and its Relationship to Job Engagement among Workers in the Ministry of Education in the Sultanate of Oman

The current study aimed to determine the level of organizational effectiveness and the degree of Functional engagement for workers in the Ministry of Education in the Sultanate of Oman, and to identify whether there are statistically significant differences at the level of significance (α ≤ 0.05) between the arithmetic averages due to the study variables (sex, educational qualification, and years of experience) in each Among the variables of the study, organizational effectiveness and Functional engagement, in addition to knowing whether there is a relationship between these two variables. To achieve the objectives of the study, the study used the correlative descriptive approach. In order to answer its questions, a tool for the study, a questionnaire, was prepared, consisting of two axes. The first Domains: to determine the level of organizational effectiveness with its dimensions: (achievement of goals, recruitment of resources, internal processes, stakeholders), while the second axis: to determine the degree of Functional engagement in its dimensions: (cognitive, physical, and emotional). The results were as follows: that the level of organizational effectiveness in the Ministry of Education is high with average of (2.91), while the degree of Functional engagement among workers in the Ministry of Education is high with average of (3.85). It indicated that there were no statistically significant differences in the level of organizational effectiveness due to the study variables (gender, educational qualification, and years of experience), as well as to the degree of Functional engagement. There is also a strong positive correlation between organizational effectiveness and Functional engagement among workers in the Ministry of Education in the Sultanate of Oman. Keywords: organizational effectiveness- Functional engagement- achieving goals- Recruitment of resources- stakeholders.