Reviewerly/exHarmony huggingface dataset:
Use of Full-quality DICOM Images Compared to Minimally Compressed Mammograms in JPEG Format for Radiology Training: A Study From Radiologist and Radiographer Perspectives

Running online training in mammography interpretation poses a challenge to radiologists and reporting radiographers due to the large size of digital mammograms in DICOM format and limited bandwidth capabilities of the users for image transmission. This study aims to compare image quality between the full-quality with minimal compressed JPEG and DICOM format of mammograms on a diagnostic monitor through the evaluation of radiologists and radiographers.Twelve participants including six radiologists and six radiographers participated as observers in this study. The observers viewed 60 2D digital mammography screening cases (22 cancer and 38 normal cases) in DICOM and minimal compressed JPEG formats on a 5MP diagnostic monitor. A 5-point Likert scale was provided for observers to compare the quality of mammograms between the two formats, with text anchors indicating to one image being significantly better, slightly better or of equal quality in terms of technical and diagnostic aspects. Nonparametric descriptive statistics were used to evaluate the ratings of radiologists and radiographers in different characteristics of mammograms of two image formats.The DICOM and JPEG images were statistically equivalent through ratings from radiographers in brightness, contrast, dynamic range, sharpness, no significant distortion, no significant noise, and background homogeneity in all mammograms. Similarly, most radiologists rated DICOM and JPEG images clinically and statistically equivalent with respect to difficulty of interpretation, brightness, contrast, dynamic range, sharpness, the appearance of Cooper's ligaments, visibility of subtle microcalcifications, visibility of structures at the margins of the breast. Normal cases were marginally favored by radiologists in DICOM format (ranging from 0.4% to 5.3%) while cancer cases in JPEG (ranging from 0.8% to 7.6%) received slightly higher rating.Findings showed that baseline full-quality with minimal compression JPEG was equivalent to the DICOM format of full-field digital mammograms which suggests that this type of JPEG could be used for online training and education in radiology.
Low area and high throughput implementation of advanced encryption standard hardware accelerator on <scp>FPGA</scp> using <scp>Mux‐Demux</scp> pair

Abstract Now‐a‐days advanced cryptographic algorithms are needed in order to improve data security and confidentiality. One such algorithm used prominently is advanced encryption standard (AES) algorithm. AES is a complex algorithm with multiple rounds of processing data and occupies more space or area when implemented on hardware. Since each sub‐step of computation has a similar structure, the proposed method employs the novel idea of using the same hardware to implement the AES functionality. Hence the number of logical units occupied are leveraged. The proposed scheme, Mux‐Demux pair method (MDP), uses a mux‐demux structure. It is implemented on Virtex‐7 and ZynQ7000 FPGAs and the code is written in Verilog HDL language in the Vivado software. The proposed work when simulated on Virtex‐7 occupies an area of 1932 slices, giving an optimized throughput of 10.167 Gbps while the work simulated on ZynQ7000 occupies an area of 3253 slices, resulting in a throughput of 23.858 Gbps.
PB<sup>3</sup>Opt: Profile‐based biased Bayesian optimization to select computing clusters on the cloud

Summary Given the wide variety of cloud computing resources for creating high‐performance computer clusters and their complex performance relationship with applications, finding the optimal, or near‐optimal, cluster is a complex problem. As a result, several approaches have been proposed to find the optimal, or near‐optimal, cluster for a given high‐performance computing workload, while reducing the search cost. Among the approaches found in the literature, Bayesian optimization is one of the most known and applied. However, it is still possible to increase its performance by integrating it with historical data related to workload behavior. In this context, we suggest the approach, which introduces a bias in the Bayesian optimization expected improvement acquisition function. The new acquisition function uses the ranking of computer clusters of previously explored workloads that have the same behavior as the workload being optimized. Our experimental results show that classifies the behavior of workloads in groups so that the average‐ranking has 88.7% similarity with the ranking of the workload. With this, finds, for almost 95% of workloads, a solution that is less than or equal to 1.2 worse than the optimal computer cluster. In addition, the works well when combined with the paramount iterations technique and is capable of reducing the search cost significantly.
Hierarchical planning and reasoning about partially ordered plans—From theory to practice

Abstract This invited paper (part of the New Faculty Highlights Invited Speaker Program of AAAI'21 * ) surveys my work done until today. The reviewed work focuses on hierarchical task network (HTN) planning as well as on partial order causal link (POCL) planning. Lines of research include theoretical investigations (mostly computational complexity analyses), heuristic search, as well as the practical application of the technology for planning‐based assistants, which support a human user in carrying out various tasks.
Security of Higher Vocational Student Management Information Platform Based on Internet IP Cross-Validation Algorithm

The algorithm first uses the improved PSO optimized K-means algorithm (IPMeans) to cluster the intrusion data and increase the aggregation degree of the same data type. The promotion of education management informatization construction requires cooperation between higher vocational colleges and information technology companies, and cooperation with information technology companies. Brother colleges and universities cooperate and build together; at the same time, a high-quality information technology talent team is formed; the construction of information resources co-construction and sharing system is accelerated; the original unreasonable education management mechanism is reformed. Then the processed data is divided into 10-CV, and then use the cross-validation method to further improve the BP algorithm. The simulation results show that the BP algorithm based on cross-validation is better than the traditional BP algorithm.
Quasi-Shor Algorithms for Global Benchmarking of Universal Quantum Processors

This work generalizes Shor’s algorithm into quasi-Shor algorithms by replacing the modular exponentiation with alternative unitary operations. By using the quantum circuits to generate Bell states as the unitary operations, a specific example called the Bell–Shor algorithm was constructed. The system density matrices in the quantum circuits with four distinct input states were calculated in ideal conditions and illustrated through chromatic graphs to witness the evolution of quantum states in the quantum circuits. For the real part of the density matrices, it was revealed that the number of zero elements dramatically declined to only a few points after the operation of the inverse quantum Fourier transformation. Based on this property, a protocol constituting a pair of error metrics Γa and Γb is proposed for the global benchmarking of universal quantum processors by looking at the locations of the zero entries and normalized average values of non-zero entries. The protocol has polynomial resource requirements with the scale of the quantum processor. The Bell–Shor algorithm is capable of being a feasible setting for the global benchmarking of universal quantum processors.
HGPSO: An efficient scientific workflow scheduling in cloud environment using a hybrid optimization algorithm

Cloud technology has raised significant prominence providing a unique market economic approach for resolving large-scale challenges in heterogeneous distributed systems. Through the use of the network, it delivers secure, quick, and profitable information storage with computational capability. Cloud applications are available on-demand to meet a variety of user QoS standards. Due to a large number of users and tasks, it is important to achieve efficient scheduling of tasks submitted by users. One of the most important and difficult non-deterministic polynomial-hard challenges in cloud technology is task scheduling. Therefore, in this paper, an efficient task scheduling approach is developed. To achieve this objective, a hybrid genetic algorithm with particle swarm optimization (HGPSO) algorithm is presented. The scheduling is performed based on the multi-objective function; the function is designed based on three parameters such as makespan, cost, and resource utilization. The proper scheduling system should minimize the makespan and cost while maximizing resource utilization. The proposed algorithm is implemented using WorkflowSim and tested with arbitrary task graphs in a simulated setting. The results obtained reveal that the proposed HGPSO algorithm outperformed all available scheduling algorithms that are compared across a range of experimental setups.
O debutar da Revista Eletrônica de Comunicação, Informação e Inovação em Saúde: diagnóstico, desafios e perspectivas

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Identifying Grammatical and Mechanical Errors of Students’ Writing: Using “Grammarly” as an Online Assessment

This research investigates “Grammarly” as one tool of an online assessment in identifying grammatical and mechanical errors of students in writing English. This research is descriptive qualitative research. The result analysis shows that Grammarly is used to assess the students’ writing both grammatical and mechanical (spelling, punctuation, and capitalization) errors. From Grammarly report, it represents the quality of writing. First, student A’s text score is 46 out of 100. It is found writing issues (both grammatical and mechanical errors) such as confusing words, punctuation in compound/complex sentences, misspelled words, determiner use, incorrect verb forms, faulty subject-verb agreement, pronoun use, conjunction use, incomplete sentences also wordy sentences. Second, student B’s text score is 37 out of 100. It is found writing issues (both grammatical and mechanical errors) such as confusing words, misspelled words, determiner use, mixed dialects of English, incorrect noun numbers, pronoun use, incorrect verb forms, and comma misuse within clauses. Grammarly is an online proofreading service that checks for students’ grammar, spelling, and punctuation errors. Grammarly automatically verifies or detects the work typed based on a variety of factors and reveals a variety of student writing errors, both in terms of grammatical and mechanical. This finding suggests that teachers/lecturers can use Grammarly as online automated software to implement corrective evaluation of the EFL or non-EFL students’ writing. They can examine and analyze students' errors in great depth without having to make a lot of corrections or improvements manually.
Digital Competence of Language Teacher Trainees. A Comparative Study

Abstract Digital competence plays an essential role in the work of teachers in general, and it has its specific challenges regarding language teachers. In their future profession, teachers will need to be able to respond to challenges of the digital world and to develop 21 st -century competencies in a conscious, goal-oriented way supported by digital tools. Our survey proposes to map the level of development of digital competence among first-year translation and interpretation students, also enrolled in language teacher training. The tool of the survey was a questionnaire. In compiling the questions, we relied on the digital competence elements of the five competence areas of the European Union DigComp 2.1 reference framework. The results suggest that students’ digital competence level is advanced, but there are areas and competences that require targeted intervention.
PENGEMBANGAN MEDIA PEMBELAJARAN LIVEWORKSHEETS INTERAKTIF DALAM MENINGKATKAN HASIL BELAJAR IPS

The background of this research is related to the students' need for learning media. Learning media is needed in learning as an intermediary for delivering information. The use of learning media that is still minimal is a topic that will be raised. The purpose of this study was (1) to determine the feasibility of the Liveworksheets learning media, (2) to determine student responses to the Liveworksheets learning media, (3) to determine the improvement of student learning outcomes towards Liveworksheets learning. media. The target of this research is the fifth grade students of SDN Sukasari 6. This study uses research and development methods with the Borg and Gall in development model (Sugiyono 2016:298), namely: potential problems, information collection, product design, product validation, product revision, trial product, end result. Based on the results of data analysis, there is an average instrument validation of 85.45%, media validation 79%, material validation 84%, language validation 76%. The results of the small-scale students' pretest and posttest were 10 people, 84.50 and 98.60. The results of the small-scale student response test 10 people 90.05%. Response data 96.3%. The average pretest using 21 students was 62.10. The average posttest was 90.05%. So to find out the increase in learning outcomes is calculated by the N-Gain test with a score of 0.7571 in the high category.
PENGEMBANGAN MEDIA BUKU FLANEL MATEMATIKA UNTUK MENINGKATKAN KEMAMPUAN BERHITUNG PERMULAAN DI KELAS I SDN KASOMALANG VIII

This study aims to find out how to develop the Mathematic Flannel Book media to improve arithmetic ability at the beginning of class I at SDN Kasomalang VIII, to determine the feasibility of the Mathematics Flannel Book media, to determine the improvement in initial counting and student responses to the use of Mathematics Flannel Book media in the process of learning activities. The subject in this research is the first grade of Kasomalang VIII elementary school, totaling 19 students. This type of research uses the R&amp;D method which refers to development refers to the adaptation of Sugiyono’s development steps which consists of 9 steps. The instruments used are questionnaires for product validation by a team of experts (media, materials, and learning), pretest and posttest, and student response questionnaire sheets. Based on data analysis, the Mathematic Flannel Book media to improve early numeracy skills in grade I SDN Kasomalang VIII which was developed is included in the Eligible category with a percentage of 80.7% from 2 media experts, Very Eligible category with a percentage of 92.5 from 2 material experts, category Very Eligible with a percentage of 88.75% from 2 learning experts. The increase in initial numeracy for students after using the Mathematics Flannel Book media in learning activities in the first trial obtained an N-gain value of 0.41 and the second trial obtained an N-gain value of 0.62 on the Medium criteria. The response of students to the Mathematics Flannel Book media in the trial with 19 respondents was 93.2%, which was included in the Very Good category.
Emergency Management in Building Based On 3D BIM and GIS Technology

An emergency route is a route designed for human use to save themselves from dangerous situations. However, if it is considered trivial, this has unknowingly led to an increase in accidents. The provision of emergency routes on a community scale in indoor areas in terms of time is rarely discussed in emergency evacuation studies. This study aims to investigate the emergency route in the building due to the environmental factors of the closed area and the arrangement of office equipment. The method of this study is divided into two sub-sections, namely data preparation and data analysis process. Demographic data and physical interactions were used as the selection of walking speed criteria while the use of geometric data to see the actual plan route position of the building. 3D building models are built through Revit software and then converted to industry foundation classes format (.IFC) and then to multipatch shapefile (.shp) to be integrated into ArcGIS software. This is intended for the use of the data analysis process that is to build a geometric network model (GNM). GNM is designed to determine the safest and shortest routes by taking into account a variety of obstacles based on the scenario conditions. The findings shows that the evacuation time is influenced by the speed and distance of the route. 80% of the safest route selection takes a long time compared to the shortest route, while 20% is the same distance and time for the shortest and safest route because route selection is the same. The findings able to be used as a reference and guideline to determine the selection of emergency routes, especially in complex buildings.
Pedagogics: Boundary Shift In The Context Of Digital Educational Environment

This paper focuses on different aspects of ICTs used in SLL, analyzing possible ways to streamline digital educational environment.In the university sector, ICT has already made an important impact, however, despite some exceptions there is still an important social preference for traditional educational models, as there are few real examples of educational models, based on different ICTs, that are effectively integrated into SLL process, fostering students' linguistic abilities and enhancing the skills of social and professional interaction.This situation predetermined the field of the research and called for the development of the model, tailored to arrange students' social and professional interaction in different forms, using varied ICTs.Hence, the purpose of the paper is to design ICT-based model for SLL in higher schools and verify both the viability and effectiveness of this model and benefits gained by all the stakeholders of the educational process.The authors introduce the forms of the organization of students' interaction (initiation to interaction, imitation of social and professional interaction, authentic interaction); provide the characteristics of the pedagogical support and resource provision of each of them.The authors then describe the implementation of this model and results achieved.Positive outcomes were shown regarding the effectiveness of the developed model, which manifested in the positive dynamics of the studied indicators of personal and professional growth of students who participated in the experiment.
Influence Of The Motivational Factor On Intelligence And Creativity For Students

The article substantiates the relevance of the problem of influence of the motivational factor for students on intelligence and creativity. The approach to the problem of human abilities began to change in the Enlightenment era by researchers, including J. Locke, D. Diderot, and K. Helvetius. Motivation in the structure of abilities is studied by most authors who claim that motivational determinants in the structure of personality are decisive which requires overcoming difficulties in solving various problems and tasks, thereby contributing to the development of abilities. To study the relationship between cognitive motivation and achievement motivation, it is necessary to identify the dependence of the level of development of creativity and intelligence on the motivational profile of the individual and conduct a comparative analysis. The study also revealed a direct correlation between motivation to preserve the "I" and the level of creativity of students of Dagestan universities. No relationship was found between motivation to preserve the "I" and the level of intelligence, as well as between other types of motivation and the level of intelligence and creativity in Dagestan students. Studies of the influence of the motivational factor on intelligence and creativity within each group of students (psychologists, orientalists, engineers) revealed the following relationships: motivation for self-realization and the level of creativity in the group of psychology students; cognitive motivation and the level of creativity in the group of oriental studies students; cognitive motivation and the level of intelligence in the group of engineering students.
Learning and Understanding User Interface Semantics from Heterogeneous Networks with Multimodal and Positional Attributes

User interfaces (UI) of desktop, web, and mobile applications involve a hierarchy of objects (e.g., applications, screens, view class, and other types of design objects) with multimodal (e.g., textual and visual) and positional (e.g., spatial location, sequence order, and hierarchy level) attributes. We can therefore represent a set of application UIs as a heterogeneous network with multimodal and positional attributes. Such a network not only represents how users understand the visual layout of UIs but also influences how users would interact with applications through these UIs. To model the UI semantics well for different UI annotation, search, and evaluation tasks, this article proposes the novel Heterogeneous Attention-based Multimodal Positional (HAMP) graph neural network model. HAMP combines graph neural networks with the scaled dot-product attention used in transformers to learn the embeddings of heterogeneous nodes and associated multimodal and positional attributes in a unified manner. HAMP is evaluated with classification and regression tasks conducted on three distinct real-world datasets. Our experiments demonstrate that HAMP significantly out-performs other state-of-the-art models on such tasks. To further provide interpretations of the contribution of heterogeneous network information for understanding the relationships between the UI structure and prediction tasks, we propose Adaptive HAMP (AHAMP), which adaptively learns the importance of different edges linking different UI objects. Our experiments demonstrate AHAMP’s superior performance over HAMP on a number of tasks, and its ability to provide interpretations of the contribution of multimodal and positional attributes, as well as heterogeneous network information to different tasks.
Dimension-adaptive machine learning-based quantum state reconstruction

We introduce an approach for performing quantum state reconstruction on systems of n qubits using a machine learning-based reconstruction system trained exclusively on m qubits, where m ≥ n. This approach removes the necessity of exactly matching the dimensionality of a system under consideration with the dimension of a model used for training. We demonstrate our technique by performing quantum state reconstruction on randomly sampled systems of one, two, and three qubits using machine learning-based methods trained exclusively on systems containing at least one additional qubit. The reconstruction time required for machine learning-based methods scales significantly more favorably than the training time; hence this technique can offer an overall saving of resources by leveraging a single neural network for dimension-variable state reconstruction, obviating the need to train dedicated machine learning systems for each Hilbert space.
Installing Linux for the First Time

The first steps to learning anything new is to practice and practice. In this chapter, we will start to explore a few hands-on exercises for you to start learning how to use Linux.
Improved Linear Cryptanalysis of Block Cipher BORON

Abstract BORON is a lightweight substitution–permutation network cipher proposed in 2017. We reduce the number of guessed key bits by key-bridging technology and first utilize Fast Walsh Transform on BORON to minimize the time complexity. Finally, this paper gives the better key-recovery attack against block cipher BORON than previously proposed by 2 rounds: we realize a 11-round key-recovery attack on BORON-80 and 13-round key-recovery attack on BORON-128. The attacks proposed in this paper are the best attacks against BORON-80/128 to date.