Reviewerly/exHarmony huggingface dataset:
Text Summarization for Online and Blended Learning

Authors:
raw_author_name: Mahira Kirmani
raw_author_name: Gagandeep Kaur

Abstract: Online learning text summarization is vital for managing the constant influx of online information. It involves condensing lengthy online content into concise summaries while retaining the original meaning and information. While several online summarization tools are available, they often fall short in preserving the underlying semantics of the text. In this paper, we introduce an innovative approach to online text summarization that strongly emphasizes capturing and preserving the semantics of the text. Our automatic summarizer leverages distributional semantic models to extract and incorporate semantics, producing high-quality online summaries. To evaluate the effectiveness of our online summarization system, we conducted experiments on a diverse range of online content. We employed ROUGE metrics, a popular evaluation method for text summarization, to assess our system's performance. Additionally, we compared our results with those of four state-of-the-art online summarizers. The outcome of our study demonstrates that our online summarization approach, which integrates semantics as a fundamental feature, outperforms other reference summarizers. This conclusion underscores the significance of leveraging semantics in the context of online learning text summarization. Furthermore, our system's ability to reduce redundancies in online content makes it a valuable tool for managing information overload in the digital age.
Patriotic Agenda in the Information Flows of Russian Universities: Key Areas of Efficiency Improvement

Authors:
raw_author_name: V. A. Lukushin
raw_affiliation_string: Financial University

Abstract: The article presents the results of an empirical study of the patriotic agenda in the information flows of the largest Russian universities. The relevance of the study is determined by the set of global socio-political challenges facing the state at the current stage of development. Based on modern methods and tools of social media analytics, the authors determine the basic characteristics of thematic information flows in social media and make a comprehensive assessment of their effectiveness in interacting with target groups of students. Based on the results of the study the authors differentiate contexts and discourses regarding the level of engagement and personal involvement of young people in patriotic activities, as well as achievement practical results in such work. The main directions for improving the information work of higher educational institutions as subjects of formation and promotion of patriotic information flows in the new media should be focused on systemic activities that simultaneously consider the current external contexts and the needs of student youth.
Efficient ground state preparation in variational quantum eigensolver with symmetry-breaking layers

Authors:
raw_author_name: Chae-Yeun Park
raw_affiliation_string: Xanadu, Toronto, ON M5G 2C8 , Canada and Institute for Theoretical Physics, University of Cologne, 50937 Köln, Germany

Abstract: A variational quantum eigensolver (VQE) solves the ground state problem of a given Hamiltonian by finding the parameters of a quantum circuit Ansatz that minimizes the Hamiltonian expectation value. Among possible quantum circuit Ansätze, the Hamiltonian variational Ansatz (HVA) is widely studied for quantum many-body problems as the Ansatz with sufficiently large depth is theoretically guaranteed to express the ground state. However, since the HVA shares the same symmetry with the Hamiltonian, it is not necessarily good at finding symmetry-broken ground states that prevail in nature. In this paper, we systematically explore the limitations of the HVA for solving symmetry-broken systems and propose an alternative quantum circuit Ansatz with symmetry-breaking layers. With extensive numerical simulations, we show that the proposed Ansatz finds the ground state in depth significantly shorter than the bare HVA when the target Hamiltonian has symmetry-broken ground states.
Network Traffic Monitoring and Real-time Risk Warning based on Static Baseline Algorithm

Authors:
raw_author_name: Zhaoli Wu
raw_author_name: Junwei Liu

Abstract: With the rapid growth of network traffic, in order to monitor network traffic, the author proposes a baseline based traffic inspection method. The main objective is to develop a global system for identifying malicious traffic, rather than a precise method for detecting the types of worms produced by malicious traffic. Although traffic is caused by the causes, network administrators can use this international search technique to detect malicious traffic data. The system based approach mainly includes designing time based on the traditional traffic model, detecting various equipments and network traffic process, and configuring the traffic flow according to each time frame. This method uses Cisco's NetFlow Collector, a NetFlow Collector (NFC), to collect raw NetFlow data transmitted by the device through UDP every 5 minutes. the Then, three-dimensional data such as communication port, communication time, and traffic flow (bytes or packets) is used to filter, remove the different values, calculate the base values, and compare the real-time results with the base values to check the traffic defects in the current network. If there are differences between the monitoring data and the system configuration at the same time, the system will issue an abnormal warning, and as time accumulates, the alarm level will gradually escalate.
New Model of Inclusive Higher Education Practices in Megacities’ Universities

Authors:
raw_author_name: Marina Gladysheva
raw_author_name: Veronica Grebennikova
raw_author_name: Mikhail Kosov
raw_author_name: Nermeen Singer
raw_author_name: Iskandar Muda
raw_author_name: Olesya Dudnik

Abstract: This study analyzes the problem of higher professional education for people with disabilities in multinational megacities from different countries. The aim of this paper is to investigate the emerging changes and perspectives of educational inclusion in the universities of Moscow, Jakarta, Barcelona, and Cairo and to develop a new model of inclusive educational practice for universities based on an inclusive ideology of understanding the position of people with disabilities in the education system and society overall. To perform this study and verify the new model proposed by the authors, participants were selected from ten universities that indicated parameters such as accessibility, participation, quality, students’ education results, and government funding. The survey aimed to collect participants’ perspectives and experiences from diverse elements of the higher education community in the aforementioned locations. 751 participants were selected for the survey with a balanced gender distribution: 48.6% men and 51.4% women. Age distribution was rather diverse: the age group of 18–24 years was 25,7%, the age group of 25–34 years was 27,3%, the age group of 35–44 years was 25,6%, and the age group of 45 years 21,4%. Another distribution was people without disabilities (N=250) and with disabilities (N=551). The reliability of the research was achieved using several methods, including ANOVA. The results of this research show similarities and differences in implementing inclusive education practices across selected locations, providing a detailed picture of the current state and future perspectives of higher inclusive education. The scientific novelty of this research lies in the theoretical-methodological rationale of the new model of inclusive higher education practices in universities of major megacities and in forming the propositions on this model’s implementation in higher education institutions. Doi: 10.28991/ESJ-2024-SIED1-03 Full Text: PDF
Investigating delay of the media access control protocols for IoT‐RoF using quantum entanglement

Authors:
raw_author_name: Hamed Al‐Raweshidy
raw_affiliation_string: Department of Electronic and Electrical Engineering College of Engineering Design and Physical Sciences Brunel University London  Uxbridge Middlesex UK
raw_author_name: Rajagopal Nilavalan
raw_affiliation_string: Department of Electronic and Electrical Engineering College of Engineering Design and Physical Sciences Brunel University London  Uxbridge Middlesex UK

Abstract: Abstract One of the significant challenges of the Radio over fibre (RoF) Medium Access Control (MAC) protocol is the propagation delay. This delay can lead to serious issues, such as higher propagation delay resulting in collisions and unnecessary retransmissions. Quantum entanglement is an excellent candidate to overcome the propagation delay of the RoF MAC protocol. A new quantum MAC protocol is proposed, named the Quantum Entanglement‐based MAC protocol (QE‐MAC), in which Quantum Teleportation is utilised to address the propagation delay. Four entanglement states are employed to represent the control packets of the classical MAC protocol, and data is transmitted over the classical channel. Instead of using control packets such as acknowledgement, request to send, and Clear to send, state transitions are employed. This approach avoids the delay and collision issues associated with control packets, resulting in a significant improvement in network performance. The delay, duty cycle (DC), and power consumption of the proposed QE‐MAC protocol are formulated and derived. The protocol is evaluated in terms of delay, DC, and power consumption, demonstrating superior performance compared to the classical RoF MAC protocol. In comparison to published works, our proposed approach has successfully reduced both delay and power consumption by 35%.
MAPPING RADIOACTIVITY IN CONTINENTAL TERMINAL 3 (CT3) FORMATIONS: THE CASE OF THE THREE SISTERS, NIAMEY REGION (EASTERN EDGE OF THE WEST AFRICAN CRATON, ILLUMMEDEN BASIN)

Authors:
raw_author_name: Mallam Mamane Hallarou

Abstract: The Continental Terminal 3 (Ct3) formations, which rest in major unconformity on the Birimian basement of the West African Craton, correspond to the last filling deposits of the Iullemmeden basin in the Niamey region (West, Niger). The general objective of this study is to produce a surface radiometric map of the Niamey Three Sisters Hills area. The methodology used included field and laboratory work, with radiometric data processed using Surfer software. Radioactivity values in the Three Sisters area ranged from 5 to 25 shocks per second (C/s). High radioactivity values (15 to 25 c/s) are recorded in the upper terms, corresponding to the breastplates. Low values of radioactivity (5 to 15 c/s) are measured in the basal layers, corresponding to clays and alluvium. This radioactivity is thought to be due to trace amounts of uranium in these outcrops.
Shallow unitary decompositions of quantum Fredkin and Toffoli gates for connectivity-aware equivalent circuit averaging

Authors:
raw_author_name: Pedro M. Q. Cruz
raw_affiliation_string: Departamento de Ciência de Computadores, Universidade do Porto 3 , 4169-007 Porto, Portugal; ICFO–Institut de Ciències Fotòniques, The Barcelona Institute of Science and Technology 2 , 08860 Castelldefels, Spain; International Iberian Nanotechnology Laboratory (INL) 1 , 4715-330 Braga, Portugal
raw_author_name: Bruno Murta
raw_affiliation_string: Departamento de Física, Universidade do Minho 4 , 4710-057 Braga, Portugal; International Iberian Nanotechnology Laboratory (INL) 1 , 4715-330 Braga, Portugal

Abstract: The controlled-swap and controlled-controlled-not gates are at the heart of the original proposal of reversible classical computation by Fredkin and Toffoli. Their widespread use in quantum computation, both in the implementation of classical logic subroutines of quantum algorithms and in quantum schemes with no direct classical counterparts, has made it imperative early on to pursue their efficient decomposition in terms of the lower-level gate sets native to different physical platforms. Here, we add to this body of literature by providing several logically equivalent circuits for the Toffoli and Fredkin gates under all-to-all and linear qubit connectivity, the latter with two different routings for control and target qubits. Besides achieving the lowest cnot counts in the literature for all these configurations, we also demonstrate the remarkable effectiveness of the obtained decompositions at mitigating coherent errors on near-term quantum computers via equivalent circuit averaging. We first quantify the performance of the method in silico with a coherent-noise model before validating it experimentally on a superconducting quantum processor. In addition, we consider the case where the three qubits on which the Toffoli or Fredkin gates act nontrivially are not adjacent, proposing a novel scheme to reorder them that saves one cnot for every swap. This scheme also finds use in the shallow implementation of long-range cnots. Our results highlight the importance of considering different entangling gate structures and connectivity constraints when designing efficient quantum circuits.
Iterative Ensemble Learning over High Dimensional Data for Sentiment Analysis

Authors:
raw_author_name: V R N S S V Saileela P
raw_author_name: N. Naga Malleswara Rao

Abstract: For sentiment analysis in particular, the problem of processing and analyzing high-dimensional data becomes more prominent in recent past. This is where the IEL-HDDSA model, which aims to increase accuracy and performance in complex, high-dimensional data streams sentiment analysis comes into play. Iterative approach in ensemble learning; a contribution to the field. It integrates preprocessing techniques such as tokenization, stop word removal, lemmatization and the collection of sentiment-related features. Then the training corpus is divided by label, and features with high mutual information are selected. Highly replicated points of data for model training can also be identified at this point. First a Naive Bayes model is trained, then later it's placed in an ensemble as part of bagging. Its major advantage over earlier methods is that IEL-HDDSA can iteratively train on selected subsets of data until the performance in sentiment analysis for high-dimensional objects reaches an optimum level. A 10-fold cross validation method was used to rigorously evaluate the performance of this model, which showed consistently high levels of operation with almost no variation across different measures. IEL-HDDSA's precision ranged from 0.9359 to 0.9492, and its specificity was between 0. Its accuracy differed from 0.93 to around 0.95, and its F1-measure fluctuated between the values of about 0.94 and above; so here too balance was well maintained in a manner that satisfied both precision and recall requirements equally. The false alarming rate fell from 0.056 to 0.1, a fairly low ratio of incorrect positive classifications; Moreover, MCC quantities ranged from 0.8668 to 0. These results testify to the IEL-HDDSA model's stable effectiveness and high reproducibility in sentiment analysis applications, especially for massive data flows.
Optimal Usage of Resources through Quality Aware Scheduling in Containers based Cloud Computing Environment

Authors:
raw_author_name: Ravindranath K

Abstract: For cloud computing, the Quality Aware Scheduling of Containers (QASC) model has been proposed for delay-sensitive tasks. Plan your cloud tasks. Typically, time constraints are met while resources are used effectively. It's a really difficult undertaking. In order to distribute containers more effectively, QASC takes into account a number of performance factors. Containers and their make-span logs, as well as input quality metrics like I/O-intensive workload, startup time, hot standby failure rate, and inter-container dependencies, are collected by the QASC model. A metric coefficient that indicates each container's overall rating is calculated by normalizing and averaging these values to determine it. In order to determine how well scheduling performed, the model also includes a quality coefficient that calculates this metric-coefficient threshold. It's also critical for QASC to be able to determine the remaining energy in each container, which represents its request capacity. In order to optimize cloud resources, energy use is also taken into account by the model. From the cloud-sim simulation, an experimental dataset including 50 containers and 1,200 internet protocol-capable users was employed. For the make-span ratio, round-trip time, and energy consumption analysis, this produced 20,000 data points. The RLSched, DSTS, and ADATSA models were contrasted with the QASC model. The outcomes showed that QASC performed better than these models in a number of crucial areas. Tasks may be managed better with the higher average make-span ratio and lower volatility. Its superior job scheduling and resource use were further demonstrated by its shorter round-trip durations and lower energy usage across loads. The QASC model is an extremely complex scheduling method for container-based systems and a significant advancement in cloud computing research. Its approaches and methods enable for more intelligent energy use as well as high-quality services while also improving system performance, particularly for tasks that are delay-sensitive.
Common transversals and complements in abelian groups

Authors:
raw_author_name: B. Sambale

Abstract: Abstract Given a finite abelian group G and cyclic subgroups A , B , C of G of the same order, we find necessary and sufficient conditions for A , B , C to admit a common transversal for the cosets they afford. For an arbitrary number of cyclic subgroups, we give a sufficient criterion when there exists a common complement. Moreover, in several cases where a common transversal exists, we provide concrete constructions.
An ontology‐based semantic description model of ubiquitous map images

Authors:
raw_author_name: Fenli Jia
raw_affiliation_string: Key Laboratory of Smart Earth  Beijing China; School of Geospatial Information Information Engineering University  Zhengzhou China
raw_author_name: Jian Yang
raw_affiliation_string: School of Geospatial Information Information Engineering University  Zhengzhou China
raw_author_name: Linfang Ding
raw_affiliation_string: Department of Civil and Environmental Engineering Norwegian University of Science and Technology  Trondheim Norway
raw_author_name: Guangxia Wang
raw_affiliation_string: College of Geography and Environmental Science Henan University  Zhengzhou China
raw_author_name: Guomin Song
raw_affiliation_string: School of Geospatial Information Information Engineering University  Zhengzhou China

Abstract: Abstract Map images with various themes and cartographic representations have become ubiquitous on the Internet. Such ubiquitously and openly accessible data, named ubiquitous map images in this study, are a potential resource for many geographic information applications such as cartographic design. However, there is a semantic gap between the simple physical form and the complex connotation of ubiquitous map images, which hinders their further applications. To mitigate such barrier, this article develops an ontology‐based semantic description model for ubiquitous map images. First, we discuss the design concerns and principles of the semantic description model of ubiquitous map images. Second, three semantic layers of the semantic description model are proposed, that is, image semantic description layer, cognitive tool layer, and information source layer, and detailed semantic description items are defined for each layer. Furthermore, a formalized semantic description model for ubiquitous map images is developed using ontology construction tools, which lays the foundation for automated and fine‐grained reasoning with the information embedded in map images. We construct a small test dataset consisting of weather maps, and use three types of constraints, namely “time‐topic,” “region‐topic,” and “map auxiliary elements” for the semantic retrieval experiments. The experiments show that the proposed semantic ontology model can enable complex semantic retrieval of ubiquitous map images. Finally, the scalability of the model is discussed from three perspectives: the depth of description, the combination with intelligent methods, and the integration with other open knowledge bases. The proposed model provides a semantic label system for applying data‐driven approaches to decode ubiquitous map images, which also paves the path to the development of cartographic theory in the era of information and communications technologies.
Correlational Analysis: Knowledge, Training, and Attitude Towards First Aid Injuries Among Students of Astate Senior High School in Banjarmasin

Authors:
raw_author_name: Mira Mira
raw_affiliation_string: Muhammadiyah University of Banjarmasin

Abstract: ABSTRACT Childhood injury is a growing public health concern that requires special attention. Students frequently participate in activities without considering the influence on their own body, resulting in injuries that can have a negative impact on their health and daily activities. The goal of this study was to assess the association between students' knowledge, training, and attitude toward first aid for injuries in a state senior high school in Banjarmasin. A correlational study design and a cross-sectional approach were utilized in this investigation. Data was obtained from a total of 1280 respondents, and a sample of 114 respondents was analyzed using a basic random sampling technique with probability sampling, with Spearman's rho as the statistical test utilized. With a p value of 0.05, the results suggest that there is a relationship between the level of knowledge, training, and attitude and the level of accuracy in first aid. It can be concluded that understudies' knowledge, training, and state of mind influence the precision of giving first aid for injuries, so it is critical for understudies to have positive knowledge, preparation, and demeanor in giving first aid to avoid mistakes that can lead to crises. Keywords: Attitude, First Aid for Injuries, Level of Knowledge, Training