Reviewerly/exHarmony huggingface dataset:
Synthesized Speech Attribution Using The Patchout Spectrogram Attribution Transformer

The malicious use of synthetic speech has increased with the recent availability of speech generation tools. It is important to determine whether a speech signal is authentic (spoken by a human) or is synthesized and to determine the generation method used to create it. Identifying the synthesis method is known as synthetic speech attribution. In this paper, we propose the use of a transformer deep learning method that analyzes mel-spectrograms for synthetic speech attribution. Our method known as Patchout Spectrogram Attribution Transformer (PSAT) can distinguish new, unseen speech generation methods from those seen during training. PSAT demonstrates high performance in attributing synthetic speech signals. Evaluation on the DARPA SemaFor Audio Attribution Dataset and the ASVSpoof2019 Dataset shows that our method achieves more than 95% accuracy in synthetic speech attribution and performs better than existing deep learning approaches.
Issues of normative-legal regulation of chemical and biological security provision

The issues of regulatory regulation of chemical and biological safety are important and relevant at the present stage of development of society. They are related to the regulation of the use of chemical and biological substances in various fields of activity, such as industry, healthcare, agriculture and others. Safety problems in the use of chemicals are becoming particularly relevant due to the increase in the volume and variety of chemical products, as well as the desire to reduce costs in its production. Chemicals can be dangerous to humans and the environment, so strict safety rules and regulations are required that regulate the storage, transportation, use and disposal of chemicals. In turn, the issues of biological safety are becoming more and more relevant in the light of the development of biotechnologies and the use of biological substances in medicine and agriculture. Regulation of the use of biological substances requires significant costs and the introduction of appropriate rules and regulations in various industries. Thus, the issues of regulatory regulation of chemical and biological safety are relevant at the present stage and require constant attention from the state, manufacturers and the public as a whole.
Crisis Management in shopping malls using Different Regression Models

Several distinct regression models are utilised in the process of managing unforeseen occurrences in public shopping centres. In this circumstance, we demand a methodical approach that coordinates across the many organisational silos to save victims and cut down on losses when a crisis takes place. It is an imperative requirement that this solution has the capability to identify and localise problems that are occurring with certain components. Early on, the system would be triggered into action by alerts emanating from the places that were being affected. The next thing that the system will do is find out which of its components is most equipped to deal with the circumstance that is now going place.
EMERGING TECHNOLOGIES AND ITS IMPACT ON THE HEALTHCARE SECTOR: STUDY IN REFERENCE TO ARTIFICIAL INTELLIGENCE

Emerging technologies are constantly being developed in healthcare, offering new opportunities for improving patient outcomes, increasing access to care, and reducing costs. The 21st century is witnessing so many changes so far in terms of technology where few like articial intelligence and Robotics technology have the potential to automate a range of tasks in healthcare, including medication delivery, surgical procedures, and physical therapy. Studies have shown that robotics can improve patient outcomes, reduce costs, and increase efciency in healthcare delivery. This is an exploration of the facts and ndings related to technology and its uses in the healthcare industry wherein an exploratory research design has been used with a theoretical framework based on a literature review
Medical expert system in ambulance car

Background: The technology plays an important role in every industry as well as in our personal lives, healthcare is definitely one of the most important industries. This merger is responsible for improving and saving countless lives around the world. Medical technology is a vast field where innovation plays an important role in maintaining health. The application of medical technology is becoming commonplace in helping physicians to diagnose diseases. Aims: provide medical advice and assistance to doctors in dealing with the injured, and to provide first aid for certain groups of diseases and injuries that the average person can do alone, and to protect the injured from incorrect that may cause Deterioration rather than cure. Methods: expert systems are a type of AI, which is a software system that can be compared to human experts. Its purpose is mostly advisory.
An Analysis of Education Policy and Curriculum in Art High Schools

본 연구는 우리나라 예술교육의 방향성을 탐색하기 위해 전국 25개 예술고등학교 미술전공 교육과정 운영현황을 살펴보고 이를 분석하였다. 대부분의 예술고등학교는 전문교과를 중심으로 편성되어 있으며, 보통교과와 전문교과의 구성은 예술고등학교의 설립유형, 지역, 학년에 따라 시수 배정의 차이를 보였다. 예술고등학교 교육과정은 2015 개정 교육과정에서 제시하는 다양한 시각과 경험을 위한 전문교과목과는 달리 편향된 전문교과목으로 구성되어 있음을 확인하였다. 본 연구의 결론은 다음과 같다. 첫째, 개정 교육과정에서 제시하는 교육과정의 방향과 실제 교육현장에서 운영하는 교육과정 운영의 차이를 구체적으로 살펴보고, 2022 개정 교육과정에서 이를 반영할 필요가 있다. 둘째, 예술고등학교 교육과정은 대중 예술전공의 수요 확대를 고려하여 대중 예술의 전문성을 교육과정에 반영할 필요가 있다. 셋째, 중등예술교육과 고등예술교육의 교육과정은 서로 연계성을 가지고 있으므로, 예술고등학교 교육과정의 편성과 운영에 대한 기준은 예술대학의 입학 전형에 맞게 구성할 필요가 있다. 넷째, 예술고등학교의 교육목표는 전문예술인 양성이므로, 깊이 있는 예술교육과 시대적 흐름과 변화에 따른 유연한 예술문화교육 방향이 필요하다.This study examines the current status of art education programs in the art departments of 25 national art high schools across the country in order to explore the direction of art education in Korea. Most art high schools are structured around professional subjects, and the composition of general subjects and professional subjects varies depending on the type of school, region, and grade level. It was found that the art education curriculum of art high schools is biased towards professional subjects, unlike the diverse professional courses for various perspectives and experiences presented in the revised 2015 curriculum. The conclusions of this study are as follows: First, it is necessary to examine the specific differences between the direction of the curriculum presented in the revised education curriculum and the actual curriculum operation in the field, and to reflect this in the revised 2022 education curriculum. Second, in consideration of the increasing demand for popular arts majors, it is necessary to reflect the professionalism of popular arts in the art education curriculum. Third, since the art education curricula of middle and high schools are interconnected, the criteria for the organization and operation of art high school curricula should be structured to match the admission process of art universities. Fourth, since the goal of art high schools is to cultivate professional artists, it is necessary to have a flexible art and cultural education direction that responds to the depth of art education and the trends and changes of the times.
Data Assimilation for Real-Time Shake-Mapping and Prediction of Ground Shaking in Earthquake Early Warning

: Earthquake early warning (EEW) systems aim to provide advance warning of impending strong ground shaking, in which earthquake ground shaking is predicted in real-time or near real-time. Many EEW systems are based on a strategy which first quickly determines the earthquake hypocentre and magnitude, and then predicts the strength of ground shaking at various locations using the hypocentre distance and magnitude. Recently, however, a new strategy was proposed in which the current seismic wavefield is rapidly estimated by using data assimilation, and then the future wavefield is predicted on the basis of the physics of wave propagation. This technique for real-time prediction of ground shaking in EEW does not necessarily require the earthquake hypocentre and magnitude. In this paper, I review real-time shake-mapping and data assimilation for precise estimation of ongoing ground shaking, and prediction of future shaking in EEW.
Mining timed sequential patterns: The Minits-AllOcc technique

&lt;p&gt;Sequential pattern mining is one of the data mining tasks used to find the subsequences in a sequence dataset that appear together in order based on time. Sequence data can be collected from devices, such as sensors, GPS, or satellites, and ordered based on timestamps, which are the times when they are generated/collected. Mining patterns in such data can be used to support many applications, including transportation recommendation systems, transportation safety, weather forecasting, and disease symptom analysis. Numerous techniques have been proposed to address the problem of how to mine subsequences in a sequence dataset; however, current traditional algorithms ignore the temporal information between the itemset in a sequential pattern. This information is essential in many situations. Though knowing that measurement Y occurs after measurement X is valuable, it is more valuable to know the estimated time before the appearance of measurement Y, for example, to schedule maintenance at the right time to prevent railway damage. Considering temporal relationship information for sequential patterns raises new issues to be solved, such as designing a new data structure to save this information and traversing this structure efficiently to discover patterns without re-scanning the database. In this paper, we propose an algorithm called Minits-AllOcc (MINIng Timed Sequential Pattern for All-time Occurrences) to find sequential patterns and the transition time between itemsets based on all occurrences of a pattern in the database. We also propose a parallel multi-core CPU version of this algorithm, called MMinits-AllOcc (Multi-core for MINIng Timed Sequential Pattern for All-time Occurrences), to deal with Big Data. Extensive experiments on real and synthetic datasets show the advantages of this approach over the brute-force method. Also, the multi-core CPU version of the algorithm is shown to outperform the single-core version on Big Data by 2.5X.&lt;/p&gt;
An Efficient Security System That Uses Artificial Intelligence to Detect and Identify Objects

Object identification is a significant task in computer vision due to the complexity and diversity of the things that must be detected. Rapid response time and precision are critical, particularly in security applications. We investigate YOLOv5, one of the most efficient object identification algorithms on the market, in this study. Our goal is to show how successful this algorithm is in a security system when compared to other existing alternatives. We also created a web interface that allows visitors to view the live camera feed and track the object detection process in real time. We provide our action plan, as well as the technology and knowledge required to complete this project. The suggested security system consists of a high-resolution surveillance camera and the YOLOv5 object detection algorithm. We created and implemented this system using computer programming and image processing technologies. Our findings reveal that the YOLOv5 algorithm outperforms alternative solutions in terms of speed and accuracy.
Qualitative Study: Teaching Indonesian as the National Language to Students in the All-digital Era: Challenges and Solutions

This qualitative study examines the difficulties and solutions of teaching Indonesian as the national language to students in a world dominated by technology. The research examines how Indonesian language teachers and students deal with the difficulties of teaching and learning the language online. Interviews with Indonesian language teachers and students, class observations, and document analysis of language textbooks and digital resources contributed to data collection. According to the findings, language proficiency, digital literacy, motivation, cultural diversity, and authenticity are among the challenges of teaching Indonesian as the national language in an era dominated by technology. The review proposes a few answers for these difficulties, including computerized media, intuitive and cooperative learning exercises, language variety and pragmatics, and social mindfulness. The study concludes that addressing these obstacles can enable students to communicate effectively in the digital age and increase the effectiveness of teaching Indonesian as the national language in an all-digital world.
Development of Teaching Materials Based on Multiple Intelligences with Project Based Learning to Increase Creativity and Science Learning Outcomes for Grade VI Elementary School Students in Semarang City

This research aims to examine how to develop, test the feasibility, and test the effectiveness of teaching materials based on multiple intelligences. This research procedure uses the Borg and Gall model. The results showed that teaching materials based on various bits of intelligence were very appropriate, with a presentation feasibility percentage of 100% for teaching materials experts, 87.5% for language experts, and 90.6% for content experts. This media is effective with the results of the t-test obtained t_count of 53.43 and t_table 2.09 so that there is a significant difference between the pretest and posttest learning outcomes with an average pretest of 56.8 and a posttest of 87.5, the difference is 30.7%. The average (n-gain) pretest and posttest data were increased at 0.617 with moderate criteria. This study concludes that teaching materials based on multiple intelligences are very feasible and effective for use in science learning about the solar system class VI. Suggestions for further research can apply multiple intelligence-based teaching forms that are more interactive in other materials by improving the appearance of the design and adding references to deepen the discussion of material in teaching materials. Keywords: Teaching materials, Multiple Intelligence, PjBL, Science, Solar System.
FORMATION OF STUDENTS' SELF-ORGANIZATION COMPETENCIES AS THE BASIS OF UNIVERSITY EDUCATION

The article defines the place of videoconferencing in the Internet learning environment, discusses the means of supporting the interactivity of the learning process, specific competencies for a distance learning teacher. The problem areas arising in a modern university with the use of innovative technologies are identified, the stages of video conferencing preparation are proposed.
PROBLEMS OF THE COMPETENCE-BASED APPROACH IN STAFF’ TRAINING AND PROFESSIONAL DEVELOPMENT

The introduction of a competency-based approach into the system of training and advanced training of specialists is aimed at improving interaction with the labor market, increasing the competitiveness of specialists, updating the content, methodology and the corresponding learning environment. The main goal is to train a qualified specialist of the appropriate level and profile, who is fluent in his profession and oriented in related fields of activity, ready for continuous professional growth, social and professional mobility. But the system of training and advanced training faces a number of tasks that require immediate solutions. The competency-based approach is seen as a modern counterpart to many more traditional approaches. This is an attempt to bring the system of training and advanced training into line with the needs of the labor market, an approach that focuses on the result of education, and the result is not the amount of information learned, but the ability of a person to act in various situations.
Role of Paperless Office Systems In Supporting Office Automation Efforts

This research evaluates how local government agencies in Subang Regency implement paperless offices. The study examines the implementation, obstacles, and solutions for implementing the concept of paperless offices in government organizations. Researchers utilized a qualitative descriptive method with a case study approach. Data sources included informants, events, and documents. Data analysis involved interactive techniques, including interviews as a tool for data collection. The analysis consisted of data collection, reduction, presentation, and conclusion. The research findings indicate that implementing the paperless office system in one of the government agencies in Subang Regency aims to address issues related to paper accumulation and enhance document security through application integration. Implementing the paperless office concept can improve the efficiency of public services, enabling faster and easier processes such as application submission, reporting, and data processing.
Bilingualism and Multilingualism in International Teaching

The process of world economic integration is dramatically changing the spread and use of human languages, and at the same time has a profound impact on human linguistic diversity. In the last half century or so, bilingual and multilingual education has become an important part of the education system of some countries, and bilingual and multilingual education policies have become a hot topic of concern for all walks of life. In this paper, we take the background of international bilingual and multilingual education as a premise, further explore the laws of bilingual and multilingual education, and sort out and summarize the academic discussions on this topic.
Energy cost of localization of relational quantum information

Entanglement of spatially separated quantum states is usually defined with respect to a reference frame provided by some external observer. Thus, if one wishes to localize the quantum information within a spatially separated entangled state, one must enact an entanglement extraction protocol also defined with respect to that external frame. Entanglement extraction for Gaussian ground states in such an external frame construction has been shown to require a minimum energy and is hence an interesting process for gravitational physics, where examinations of localization vs. energy cost have a long history. General covariance however, precludes dependence on external frames. In order to enact an extraction protocol in a generally covariant theory, dependence on the external reference frame must first be removed and the states made relational. We examine the implementation of an extraction protocol for Gaussian states, who's center-of-mass and relational degrees of freedom are entangled, in a relational toy model where translation invariance stands in for full diffeomorphism invariance. Constructing fully relational states and the corresponding extraction/localization can, in principle, be done in two ways. External frame position information can be removed through $G$-twirling over translations or one can spontaneously break the translation symmetry via the gradient of an auxiliary field, or $Z$-model. We determine the energetics of quantum information localization after the states have been made fully relational via both the $G$-twirl and $Z$-model. We also show one can smoothly transition between the two approaches via positive operator valued measurements (POVM).
Anti-Counterfeiting of Products Using Blockchain

In the modern world, industrialization has played a key role the in the development of the mankind. Enormous indus- tries/brands have come into existence to cater to the ever-growing demand for goods of consumers. While the original brands are serving the people with integrity, many illegal elements in the industry are producing copycat products with the cheapest quality and sell them as original products to the consumers. Such malpractice is known as counterfeiting of products which is a pressing problem that industries are facing nowadays. To counter this global problem we propose a solution, which will track the supply chain of the product by leveraging Blockchain technology. The system will aim to minimize the counterfeiting of products and in turn, increase the consumption of genuine products.
Analysis of The Impact of Wind and The Environmental Temperature on The Performance of a Rooftop Solar PV System: A Case Study of 52,2 kWp PT PLN Research and Development Center Rooftop PV Systems

This study aimed to observe the influence of weather parameters (irradiation, ambient temperature, PV module temperature, wind speed, and direction). Performance evaluation of rooftop PV systems is carried out according to IEC 61724-1:2017. The parameters measured are solar irradiance using a pyranometer, the surface temperature of the PV module using a temperature sensor, ambient temperature, wind speed, and direction using the Smart Weather Sensor Lufft type WS500-UMB. The analysis was performed under three different weather conditions: cloudy, rainy, and sunny skies. In rainy conditions, the highest efficiency of the PV array is 16.1% – 16.69%, because the environmental temperature and the temperature of the PV module when it rains is the lowest compared to sunny and cloudy conditions. In sunny skies, the highest inverter efficiency is obtained, around 97.9 – 98.84%, this is due to very high solar irradiation (more than 1000 W/m²), so the inverter works more optimally than in rainy and cloudy conditions. The highest average wind speed is obtained in sunny conditions, which is 3.28 m/s with the same wind direction, namely the West-Northwest, but the influence of the wind is not significant to provide a cooling effect to the rooftop PV.
’PLAYING AT BEING KNIGHTS’ IN THE PAGES OF NIKOLAJ P. ANTSIFEROV’S MEMOIRS

Children’s engagement of imaginary worlds and events created when playing is thus a borderline phenomenon lying between game improvisation and artistic creation (the creation of texts, drawings, geographical maps and other artefacts associated with playful subjects and motifs). This kind of play is described in detail in the memoirs of the historian and literary scholar Nikolaj P. Antsiferov (1889–1958), which depict the realities and events of everyday life as a child growing up. In the second and especially in the third part of his memoirs Nikolaj Antsiferov describes in detail improvisational “playing at being knights”; this game harmoniously combined, for his friends and himself, certain historical events, fiction literature read by the company, and their own bright imagination. The fictional characters reflecting real historical and literary figures become especially dear to the players; biographies of such characters are developed thoroughly and logically with the help of historical and literature sources; the plots of the game remain in the memory of Nikolaj Antsiferov and his comrades in the game for a long time. We can assume that in the description of the playing at being knights we see the first manifestation of those individual creative and research features of Nikolaj Antsiferov, which later formed the basis of his scientific method.