Reviewerly/exHarmony huggingface dataset:
Improving parameter estimation precision by parity-time symmetric operation

Abstract The enhancement of the precision of phase estimation in quantum metrology is investigated by employing parity-time ( <?CDATA $\mathcal{PT}$?> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mrow> <mml:mi mathvariant="script">P</mml:mi> <mml:mi mathvariant="script">T</mml:mi> </mml:mrow> </mml:math> ) symmetric operation. We derive the exact expressions of the quantum Fisher information (QFI) and the success probability of the phase estimation for an exactly solving model consisting of a qubit interacting with a structured reservoir. Special attention is paid to the two schemes, i.e. pre-and post- <?CDATA $\mathcal{PT}$?> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mrow> <mml:mi mathvariant="script">P</mml:mi> <mml:mi mathvariant="script">T</mml:mi> </mml:mrow> </mml:math> symmetric operations. We show that the QFI can be obviously enhanced by means of the <?CDATA $\mathcal{PT}$?> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mrow> <mml:mi mathvariant="script">P</mml:mi> <mml:mi mathvariant="script">T</mml:mi> </mml:mrow> </mml:math> symmetric operation in different regimes. In addition, we also show that the magnitude of the decoherence involved in the <?CDATA $\mathcal{PT}$?> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mrow> <mml:mi mathvariant="script">P</mml:mi> <mml:mi mathvariant="script">T</mml:mi> </mml:mrow> </mml:math> symmetric operation can be a general complex number, which extends the applicable scope of the <?CDATA $\mathcal{PT}$?> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mrow> <mml:mi mathvariant="script">P</mml:mi> <mml:mi mathvariant="script">T</mml:mi> </mml:mrow> </mml:math> symmetric operation approach.
2022 Edsger W. Dijkstra Prize in Distributed Computing

The Edsger W. Dijkstra Prize in Distributed Computing is awarded for outstanding papers on the principles of distributed computing, whose significance and impact on the theory or practice of distributed computing have been evident for at least a decade. It is sponsored jointly by the ACM Symposium on Principles of Distributed Computing (PODC) and the EATCS Symposium on Distributed Computing (DISC). The prize is presented annually, with the presentation taking place alternately at PODC and DISC.
Weak Credential Information as a Threat to Online Security

Weak credential information poses lots of threats to online security. Online credentials form an integral part of online activities with the increasing number of activities of human life now on the web like transactions involving the transfer of funds, social media handles, medical records and other sensitive data hosted in the clouds which can be accessed from anywhere using the web. It is important to have strong online credentials that would curb if not remove the threats it poses when weak credentials are chosen. This paper looks at weak credential information as a threat to online security, review current situation and evaluate the need for a stronger credential information as a means to reduce the threat to online security. Another objective of this paper is to suggest better ways to choosing stronger credential information on the web like biometric authentication. Keywords: Passwords, Authentication, Complexity, Memorability, Cybercrime, cyber safety
Evaluating the Optimal Number of Clusters to Identify Similar Gene Expression Patterns During Erythropoiesis

Haematopoietic stem cells (HSC) are differentiated into red blood cells (erythrocytes) through a process called Erythropoiesis. During this process, the genes undergo global gene expression changes to reflect the present developmental stage. Unsupervised clustering aims at highlighting the co-expressed genes that share similar expression profiles. Some clustering algorithms, like the well-known and most commonly used K-means, need the number of clusters as input in order to group the data based on similarity measurements. Determining a sufficient number of clusters is not a straightforward task and might be tricky. Furthermore, the quality of the obtained clusters depends on how many clusters were used. In this study, three cluster validation metrics; Silhouette Score, Calinski Harabaz Index, and DaviesBouldin Score were used to evaluate the clusters obtained from the different clustering algorithms applied. For the data of Erythropoiesis, two clusters were identified as sufficient.
Increasing Children's Expressive Language Development through the Role-Playing Method

This study aims to improve children's expressive language skills by applying the group B role-playing method in Al-Hikmah Santong Kindergarten. This type of research is collaborative classroom action research, which consists of two cycles, each carried out in one meeting. The research procedure includes planning, implementing actions, observing and reflecting. The research subjects were all the children of group B in Al-Hikmah Santong Kindergarten, totalling 36 children. The data analysis used is descriptive qualitative, and quantitative. The results showed an increase in the expressive language skills of group B children in Al-Hikmah Santong Kindergarten. Increased expressive language skills are more emphasized in children's language, which includes expressive language indicators, namely expressing desires, feelings, and opinions in simple sentences in communicating with children or adults and expressing emotions and ideas with appropriate word choices when speaking. In the implementation of the pre-action, children's expressive language skills reached 37.5%, and the performance of the pre-action was still in the criteria of starting to develop. In cycle I, the implementation of the action increased by 55%, including the requirements for developing as expected. And the performance of Cycle II reached 93.8%, which showed the criteria for developing very well and achieved indicators of success. So the implementation of this research was stopped. Based on the study above, it can be concluded that the expressive language skills of group B children at Al-Hikmah Santong Kindergarten have increased through the application of the role-playing method.
DDAPSO: Hybrid Discrete Dragonfly Algorithm and Particle Swarm Algorithm to Service Selection and Composition for the Internet of Things Applications

Recently, the Internet of Things (IoT) has quickly risen as one of the most essential technologies of this century. IoT allows users to connect to a vast network of smart devices, services, and data. An important and challenging research problem in the Internet of Things applications is how to select an appropriate service selection (SS). In the SS problem, users can combine several services from diverse sources (things or devices) to satisfy their needs. On the other hand, the SS problem is known for its complexity and is categorized as an NP-hard problem; such problems are typically solved utilizing heuristics like bio-inspired algorithms. In this research a new bio-inspired algorithm called DDAPSO is created to solve the SS problem where a new strategy is proposed to maintain a balance between the exploration and exploitation abilities. This hybrid algorithm is the result of coupling a Discrete Dragonfly Algorithm (DDA) with the particle swarm optimization algorithm (PSO). The suggested algorithm was properly tested using a variety of scenarios with different numbers of services and with different numbers of concrete services per each service set or task. The proposed algorithm is compared with the main recent well-known algorithms, i.e. GA, PSO, DDA, ABC and MVO for service selection. In a large-scale setting, the results clearly show that the DDAPSO algorithm outperforms other services selection algorithms reported in the literature in terms of selection optimally as well as execution time.
Faktor-Faktor yang Mempengaruhi Masa Studi Mahasiswa Prodi Pendidikan Bahasa Jawa FBS UNY

&#x0D; &#x0D; This study aims at testing hypotheses formulated from theoretical studies. The hypotheses stated that the thesis supervisor, gender, and motivation affected the length of the thesis writing process and the Grade Point Average (henceforth: GPA), as well as impacting the study period. It is a quantitative research using mediation effect analysis (path analysis methods). In this study, there was no sampling as all populations were taken as respondents. Respondents in this study were 98 students of the Javanese education study program, Faculty of Language and Arts, Yogyakarta State University, Indonesia (PPBJ FBS UNY). The results showed that there was no significant influence of thesis consultation processes and motivation on the length of the thesis writing, there was no significant influence of thesis supervisor and motivation using the length of the thesis writing period on the study period, and there was no significant influence between gender and motivation of gaining higher GPA, however, yet, there was a significant direct influence of gender on GPA and motivation of gaining higher GPA, there was no significant influence of gender and motivation using GPA on the study period, however, there was a significant direct influence of gender on the study period, and there was a significant direct influence of the length of the thesis writing and GPA on the study period. Related to the findings of the research above, it is necessary to make various efforts so that students' intrinsic motivation is more awakened so that learning achievement will be better, and thesis duration and the study period is shorter.
Predicting Agent’s Behavior: A Systematic Mapping Review

The agent's capability to acquire, infer, and store the knowledge of other agents is known as agent modeling. Agent modeling addresses the problem of reasoning about an opponent, which is a critical task in competitive situations, or reasoning about a partner, which is important in situations of cooperation, communication, and to enhance social connections. The modeling information is useful to reason about the agent's intentions, to understand its current behavior, and to predict its future behavior. The objective of this work is to carry out a systematic mapping review of the investigations that address this problem in the last 13 years. As a result, the area was categorized in four dimensions, three wide methods, and identified twelve characteristics on the gathered data. The contribution of each investigation has been studied and offer an analysis of each one, as well as a summary of the use cases where the researchers are applying agent modeling. Finally, open problems in the area that could become future lines of research are identified.
ERASMUS PROJECT VIRSTEM INTERACTIVE TOOLS FOR EDUCATION

In a modern education, the use of modern technologies is dictated by the time requirement to provide all spheres of life with competent specialists. This article provides an overview of the first year of the project work of an international team consisting of teachers and researchers, software developers and modelers - specialists in BIM environment from different countries of the Baltic region, which was devoted to finding opportunities to improve the efficiency of teaching technical disciplines, integrating modern technological disciplines and virtual and augmented reality solutions with using the best traditional teaching methods, developing new approaches in educational and methodological work. To create a modern learning environment and support the independent work of students of construction specialties in an open online course "Basic Engineering Graphics", interactive teaching material with visualization and integration of BIM is used: simulators of digital objects, interactive exercises, and tests. The free online course is designed for undergraduate students of construction specialties, both full-time and part-time studies, as well as for the professional development of specialists. Involving the student in an active educational process to gain new knowledge is a priority to ensure the effectiveness of independent distance learning. The statistical data presented in the article provide interesting material for analyzing the effectiveness of teaching methods, demonstrate the need to change the approach to using traditional teaching methods, and integrate virtual technologies with the best traditional methods of technical teaching. The use of interactive objects, feedback with recommendations for further progress cannot fully replace the teacher and mentor but helps the student to plan their learning and is a very effective preparation for the next stage of learning.
YOUNG CHILDREN AND SCREEN-TIME: SPANISH RESEARCH GAP AND FUTURE INVESTIGATIONS PROPOSALS

"Nowadays, technology and digital screens have become an essential part of our routine. At the same time, young children are being exposed to these screens at an earlier age. Literature suggests that there is a digital gap between those children who have been trained to use technology critically and effectively and those who have not. Considering the relevance of the topic in developed societies, we will analyze the current national (Spain) and international literature on the issue. The objective of the study is to recognize the needs and weaknesses of Spanish research with the aim to offer an effective data collection tool for future research. The literature review reveals that as a result of COVID-19 pandemic, several new articles have been produced with the aim of analyzing the situation, anticipating possible consequences and providing action strategies and healthy routines for families and schools. On the international scene, during the last 10 years the number of studies about experts' recommendations, health concerns and the benefits of educational Apps has increased consistently. Focusing on national research, most Spanish studies exclude young children (0-6 years) and those who include them, focus on a specific field or analyze a small sample. To cover the research gap from 0-6 years old, we have designed two surveys, one for caregivers and one for preschool teachers. Some semi-structured interviews are also being considered to complement the quantitative data with qualitative information related to the perceptions, experiences, beliefs and practices of parents and teachers. The sample is divided into the main caregivers of young children and early education tutors of preschools in the Metropolitan Area of Barcelona. To include different socioeconomic status (SES), should be conducted in at least 30 preschool education centers distributed as follows: 10 schools located in low-income neighborhoods, 10 schools located in middle-income neighborhoods and 10 schools located in high-income neighborhoods."
ASSESSMENT OF THE PROBLEMS THAT AROSE IN THE DISTANCE EDUCATION DURING THE PANDEMIC FOR THE STUDENTS AT THE GREEK PUBLIC VOCATIONAL TRAINING INSTITUTES

"The rapid spread of coronavirus (COVID-19) in early 2020 was an unexpected situation that affected all areas of human life, especially education and training. Distance education soon replaced classic, during the COVID-19 pandemic, due to the necessary social distancing to maintain global health. Distance education is not an unknown form of education, as it is often used as educational tool at all levels of education. However, the sudden and exclusive use of distance education during the pandemic created concerns in members of the academic community and brought about radical changes at both, educational and psychosocial levels. The purpose of this research is to record the degree of acceptance of distance teaching and learning methods in vocational education and training in Greece, especially in students studying at Public Vocational Training Institutes (PVTIs) and to identify potential obstacles or benefits of online learning during COVID-19. Distance education in combination with distance e-learning is a form of distance education in which participants of the educational process, i.e., teacher and students, are in a different physical space and communicate with synchronous and/or asynchronous internet platforms. Due to the nature of e-learning and its rapid spread in the educational community during the current pandemic, there is insufficient research examining its effectiveness in vocational education. The rapid development of mobile devices and wireless networks does not automatically mean the successful utilization and sustainability of e-learning systems. In order to study the experience and problems of distance learning platforms, quantitative research took place among the PVTI students through questionnaire. The sample of the quantitative research consisted of 768 Greek PVTI students that have responded, and a pilot statistical processing of the received data has been done. To track the experience with the distance learning platforms, the sample has been asked to mention the potential issues faced with the platforms. Most of the respondents mentioned technical and accessibility issues. A variety of issues have been mentioned, either difficulties of the users or problems of the system. In parallel, they pointed out the advantages of personal contact and feedback from their professors. It is interesting that only a small part of the sample reported no problems at all. The research shows moderate percentages of satisfaction from the enhancement of students' skills and from the coverage of their educational needs, while highlighting the upgraded role of asynchronous education platforms e-class, Moodle and e-classroom and of synchronous platforms Webex and Zoom."
First-class artifacts as building blocks for live in-IDE documentation

A traditional round-trip engineering approach based on model transformations does not scale well to modern agile development environments where numerous artifacts are produced using a range of heterogeneous tools and technologies. To boost artifact connectivity and maintain their consistency, we propose to create and manage software-related artifacts as first-class entities directly in an integrated development environment (IDE). This approach has two advantages: (i) compared to employing separate tools, creating various artifacts directly within a development platform eliminates the necessity to recover trace links, and (ii) first-class artifacts can be composed into stakeholder-specific live document-artifacts. We detail and exemplify our approach in the Glamorous Toolkit IDE (henceforth, Glamorous toolkit), and discuss the results of a semi-structured pilot survey we conducted with practitioners and researchers to evaluate its usefulness in practice.
ExcePy: A Python Benchmark for Bugs with Python Built-in Types

As bugs of Python built-in types can cause code crashes, detecting them is critical to the robustness of the software. Researchers have concluded plenty of patterns for the bug causes and applied these patterns in detection tools. But these tools are only evaluated on handcrafted bugs or bugs obtained from QA pages. Because such bugs cannot reflect the complex code structures and various bug types encountered in real-world projects, the evaluation result is untrustworthy when applied to these projects. As a result, a collection of real-world reproducible bugs is essential for tool evaluation and future bug-related research. In this paper, we propose ExcePy, a benchmark for providing bugs of Python built-in types. We collect 180 bugs from the evolution of 15 real-world open-source Python projects on GitHub and then manually build test scripts for bug reproduction. Meanwhile, to improve tool evaluation efficiency, we present a code pruning strategy that can minimize buggy code size while retaining bug reproducibility and apply it to ExcePy to provide simplified buggy code. To demonstrate the benefits of ExcePy, we use three static analyzers and two fuzzers to detect bugs collected in ExcePy. We found that simplified code can significantly reduce running time and avoid many tool crashes, and bugs supplied by ExcePy can reveal limitations of existing tools in reporting real-world bugs.
ArchTacRV: Detecting and Runtime Verifying Architectural Tactics in Code

A software architectural tactic is a design decision for realizing quality goals at the architectural level. With the evolution of code, the designed architectural tactics might be degraded over time. In practice, the existing systems provide limited support for checking the consistency between an architectural tactic and its implementation. Kim et al. specified the generic structure and interaction behavior for a subset of architectural tactics in Role-Based Meta-modeling Language (RBML) to facilitate the design of tactics. Based on Kim et al.&#x0027;s work, this paper first presents a machine learning-based method to assist users in detecting the behavior methods of the tactic structure in code, then proposes a runtime verification (RV) method for checking the behavioral consistency between the tactic specification in RBML and its implementation. We conducted experiments for the behavioral methods detection approach by comparing five machine learning models on a dataset with seventy-four open-source projects containing ten types of tactics. For each tactic, we selected an open-source project to show the effectiveness of the RV approach. Finally, we design and implement a prototype tool named ArchTacRV to help developers efficiently maintain the architectural tactics.
Accelerating Silent Witness Storage

We propose hardware acceleration for a new edge computing abstraction called a Silent Witness. This abstraction embodies a severe asymmetry in the ease of write versus read operations. Surveillance data from one or more video cameras are continuously encrypted and recorded, but the decrypting, processing, or transmission of that data only occurs under stringent privacy controls. For the new search workloads of such a system, decode-enabled storage alleviates the scalability bottleneck imposed by frequent decoding of data. Our experiments show throughput improvements up to 3.5× for typical search workloads of a Silent Witness.
Grooming e inteligencia emocional en adolescentes. ¿Puede el desarrollo emocional en la escuela prevenir este tipo de acoso cibernético?

The management of computer tools and emotional skills are an essential part of comprehensive integral education in highs school, according to national and international organizations. In theory, jointly developed within the school environment, they can act as a protective factor against phenomena such as cyberbullying, sexting and grooming. In the last one construct, the groomer takes advantage of the vulnerability and crisis of an adolescent to manipulate him for sexual purposes. Based on the above, it could be inferred that there is a link between this form of bullying and the development of socio-affective skills, however, so far there are no empirical studies that delve into this relationship. Therefore, the objective of the research focused on identifying the correlation between grooming and emotional intelligence (EI). In order to achieve this, the TMMS-24 and CCRDG-24 were applied to determine the different risk behaviors that promote grooming in a sample of 200 Mexican high school students aged between 14 and 16 years. In the results, numerous grooming risk behaviors and areas of improvement in EI were found. At the same time, correlations were detected between cybersecurity and excessive awareness of emotions. It is suggested to emphasize emotional education and cybersecurity in all the actors of the teaching-learning process.