Reviewerly/exHarmony huggingface dataset:
One Green Quantum Computing Tablet Per Child

Abstract:A Paper on the design for the One Quantum Tablet Per Child, the new E-Paper in Graphene and organic polymer on PLA substrate, with a Quantum Ising Glass architecture with spin wave based STT, Quantum Internet for last mile connectivity and a distributed QPU-GPU-MCU architecture for robust scalable fault tolerant computing.Keywords: Graphene, OLED, MCU-QPU-GPU, integration, E-Paper, Quantum Cloud, Quantum Operating systems, E-Learning, Quantum Tablet, Mathematical Truth, Light as New Age Religion.
The efficiency assessment of group work at the university

Group work at a university can lead to a noticeable growth of students' progress in studies, the ability to reason and motivate for further language mastering. The achievement of such results is directly dependent on each student contribution. Group support strategies such as role assignments, group contracts, anonymous grades and ratings are designed to encourage active student participation. The study objective is to reveal the students' perception of group work in general and the effectiveness of support strategies in particular. In-depth interviews were carried out in groups using support strategies. Students complained unequal contributions paying tribute to the social support provided by group members in both high- and low-performing groups. The students who scored high on the test results recognized the group work benefits regardless the overall performance of their groups, while students with lower scores perceived the group work as time-consuming «hard work»with little cognitive benefit. Anonymous comments from fellow students differed slightly between the high and low scoring groups. The numerical scores did indeed correlate with the group's overall performance. However, students in groups with the lower academic performance evaluated their classmates more rigorously, while students in higher performing groups were more generous in their ratings for less successful students. Scientific novelty lies in the approach to research group work at the university from the view point of students involving foreign experience and based on ideas, methods and technologies of Russian and foreign scientists. As a study result, it was determined that students of different levels of the subject training perceive group work as a valuable experience that has a positive effect on the learning process. The selected support strategies have shown the effectiveness varying degrees.
Mining the manifolds of deep generative models for multiple data-consistent solutions of ill-posed tomographic imaging problems

Tomographic imaging is in general an ill-posed inverse problem. Typically, a single regularized image estimate of the sought-after object is obtained from tomographic measurements. However, there may be multiple objects that are all consistent with the same measurement data. The ability to generate such alternate solutions is important because it may enable new assessments of imaging systems. In principle, this can be achieved by means of posterior sampling methods. In recent years, deep neural networks have been employed for posterior sampling with promising results. However, such methods are not yet for use with large-scale tomographic imaging applications. On the other hand, empirical sampling methods may be computationally feasible for large-scale imaging systems and enable uncertainty quantification for practical applications. Empirical sampling involves solving a regularized inverse problem within a stochastic optimization framework to obtain alternate data-consistent solutions. In this work, a new empirical sampling method is proposed that computes multiple solutions of a tomographic inverse problem that are consistent with the same acquired measurement data. The method operates by repeatedly solving an optimization problem in the latent space of a style-based generative adversarial network (StyleGAN), and was inspired by the Photo Upsampling via Latent Space Exploration (PULSE) method that was developed for super-resolution tasks. The proposed method is demonstrated and analyzed via numerical studies that involve two stylized tomographic imaging modalities. These studies establish the ability of the method to perform efficient empirical sampling and uncertainty quantification.
Multi-Scale Evaluation of Uncertainty Quantification Techniques for Deep Learning based MRI Segmentation

Efforts are required to design Deep Learning models that are not only powerful, but also capable of expressing the certainty of their predictions. We evaluate 3 state-of-the-art techniques for uncertainty quantification : Monte-Carlo Dropout, Deep Ensemble, and Heteroscedastic models. Evaluation is illustrated on a task of automatic segmentation of White-Matter Hyperintensities in T2-weighted FLAIR MRI sequences of Multiple-Sclerosis patients. Analysis is performed at 3 different scales : the voxel, the lesion, and the whole image. Results indicate the superiority of the Heteroscedastic approach, which ranked first in both the uncertainty and segmentation tasks.
Literature Review: LEX

Abstract: A literature review, that has compiled information from various sources on the topic of lex. We intend to explore different facets of the topic such as process , specification , variables and sample code. Keywords: Lex, Yacc, Compiler Design, Lexical Analysis
Addressing the Skills Shortage in Cybersecurity

Security by design is an up and coming paradigm which seeks to decrease the opportunity for corruption and disruption, and to increase the inherent stability, dependability and resilience of systems. Cyber experts need to be involved in the design phase as Finagle's Law, interpreted for cybersecurity, is 'if it can be hacked, it will – at the worst possible time'. Testing is designed to counter Murphy's Law and reduce resistentialism. Defensive programming, original cybersecurity, carries an overhead, for which there is often no demonstrable return. The priority of the design stage cybersecurity expert is to plan for contingencies and think like a hacker. It is about risk management; understanding this dictates security by design requirements in the knowledge that interconnected systems' security is only as strong as its weakest link. Definition and audit of Service Level Agreements (SLA) are an essential part of cybersecurity, as is the audit of any third party suppliers of componentry of the system under design. Governance and policy definitions, exciting for some, are integral to cybersecurity. Beyond this, the cybersecurity expert must consider system failure. Recent ransomware attacks have demonstrated the necessity for business continuity plans as recovery has still taken time. The Blue Team Field Manual has an impressive list of necessary documentation and actions required in this event, but glosses over the effort required. While the above is rolling maintenance, threat hunting differs. Every vulnerability or threat must be evaluated for consequential impact. Either a passionate interest in psychology or an extremely jaundiced view of the world is a necessary attribute for cybersecurity. Reality is so different from the aspirations of potential pen testers, incident responders, and AI security engineers facing 3 – 5 post-graduation years to proficiency, it is no wonder disillusion results in a shortage of 3.5 million cybersecurity experts.
On the Effects of Data Protection on Multi-database Data-Driven Models

Abstract This paper analyses the effects of masking mechanism for privacy preservation in data-driven models (regression) with respect to database integration. Especially two data masking methods (microaggregation and rank swapping) are applied on two public datasets to evaluate the linear regression model in terms of privacy protection and prediction performance. Our preliminary experimental results show that both methods achieve a good trade-off of privacy protection and information loss. We also show that for some experiments although data integration produces some incorrect links, the linear regression model is still comparable, with respect to prediction error, to the one inferred from the original data.
A Multi-Robot Planning Algorithm with Quad Tree Map Division for Obstacles of Irregular Shape

This paper proposes an algorithm to improve the efficiency of the multi-robot system in simulated global information map containing obstacles. The designed multi-AGV scheduling algorithm is based on an optimal shortest path algorithm with the combination of the waiting mode and motion coordination. The proposed shortest path algorithm not only has lower time delay but also decreases the possibility of collision of the multi-robot system. In addition, simulated global information maps are established to test the efficacy of the algorithm.
Issues and Improvements of Social Studies Curriculum Revision

The purpose of this study is to present issues and improvements related to the format, ways of describing achievement standards, and terminology in social studies curriculum documents, focusing on the social science domain. The issues and improvements of social studies curriculum documents covered in this study are largely divided into those on: 1) subject system and nature &amp; goals, 2) the composition of subject content structure, 3) achievement standards and the things to note in teaching &amp; learning methods and evaluation. First, in relation to the subject system and nature &amp; goals, it is suggested to divide middle school social studies into middle school geography and social science, and to establish social science competency as well as overall social studies competency. Elementary, middle, and high school social studies goals should be presented as integrated goals, goals for each area, and goals for each subject respectively, based on the overall goals of social studies. Second, when it comes to the subject content structure, more clarified terms and a separate function structure are required. In addition to separating general subject and specific subject content structure, an alternative content structure is proposed that combines themes &amp; learning elements, achievement standards, subject competencies &amp; functions. Third, in the achievement standards and the things to note in teaching &amp; learning methods and evaluation, new ways of describing achievement standards should be considered to specify the related competencies and to use appropriate verbs for the objects to articulate social studies competencies and functions. In addition, it is suggested that the things to note in teaching &amp; learning methods and evaluation should be deleted from the curriculum document because they could decrease the diversity of textbooks . In conclusion, examining issues related to the subject system, nature &amp; goals, competency, content structure, functions, achievement standards, the explanation of achievement standards, the precauions of teaching &amp; learning methods and evaluation in this study can contribute to the improvements of the 2022 revised social studies curriculum.
Structural-material model of gold deposit location in the Central Kolyma region

Research subject . Several gold deposits, including superlarge (Natalka), large (Pavlik and Degdekan) and a number of smaller ones are located in the Central Kolyma ore region, near the Ten’kinsky deep fault. The similar position in the recumbent fault flank and confinement to upthrust-thrust plumage faults are characteristic of these objects. The differences are in the position at the different levels of the Permian section, the scale of mineralisation, and some characteristics of the material composition. Materials and methods . An analysis of the spatial characteristics of ore-bearing disturbances was carried out taking into account the change in the angles of their incidence along the section of the enclosing strata. In addition, the composition of the ores, the parameters of fluids and the regular changes in their thermodynamic characteristics were studied. Results . The additive hydrothermal column is restored, in the lower part of which the Rodionovskoye deposit is located, followed by the Degdekan and Natalka deposits, and ending in the upper part by the Pavlik deposit. The total vertical span of such a column is more than 5 km. This structural model explains the trends in the material characteristics of ore-forming fluids, reflecting the variability of the P-T characteristics from bottom to top in the hydrothermal column. Conclusions . The occurrences located directly in the zone and near the ore-supplying Ten’kinsky fault are relatively small in scale; the feathering ore-bearing reverse-thrust structures at a distance of 2–5 km from it are more favourable. Based on this model, a large-volume deposit similar to the Natalka might be located below the Pavlik deposit, which is the upper part of the column.
Non Functional Requirements Assessment and Traceability in Multimedia Educational Software

One of the challenges faced by the developers of current Multimedia Educational Software (MES) is the assessment of MES to meet users’ requirements. Non Functional Requirements (NFR) are key users’ requirements, because unlike functional requirements, which set out services expected by system, NFRs set out the constraints of the system and the process standards to be followed. Therefore, they play a key role in assessing the quality of MES. Quality Engineering is a new paradigm playing a crucial role in the European market of Services and Applications. In this field the assessment of Non Functional Requirements (NFRs) is underlined as an important step to have time-to-market products satisfying the quality and user needs. We aim to define a methodology and a representation of NFRs for assessment and traceability management. We have developed a scheme for representing critical NFRs, and applied it to the domains of MES for validation. Our approach extends the model for the representation of design rationale by making the evaluation goals explicit and providing the means to improve the quality of MES. Further research is how to relate NFRs to architectures.
An algorithm for U-Pb geochronology by secondary ion mass spectrometry

Abstract. Secondary Ion Mass Spectrometry (SIMS) is a widely used technique for in-situ U–Pb geochronology of accessory minerals. Existing algorithms for SIMS data reduction and error propagation make a number of simplifying assumptions that degrade the precision and accuracy of the resulting U–Pb dates. This paper uses an entirely new approach to SIMS data processing that introduces the following improvements over previous algorithms. First, it treats SIMS measurements as compositional data, using logratio statistics. This means that, unlike existing algorithms, (a) its isotopic ratio estimates are guaranteed to be strictly positive numbers, (b) identical results are obtained regardless of whether data are processed as normal ratios (e.g. 206Pb / 238U) or reciprocal ratios (e.g. 238U / 206Pb), and (c) its uncertainty estimates account for the positive skewness of measured isotopic ratio distributions. Second, the new algorithm accounts for the Poissonian noise that characterises Secondary Electron Multipliers (SEM). By fitting the SEM signals using the method of maximum likelihood, it naturally handes low intensity ion beams, in which zero counts signals are common. Third, the new algorithm casts the data reduction process in a matrix format, and thereby captures all sources of systematic uncertainty. These include significant inter-sample error correlations that arise from the commonly used Pb/U-UO(2)/U calibration curve. The new algorithm has been implemented in a new software package called simplex. simplex was written in R and can be used either online, offline or from the command line. The program can handle SIMS data from both Cameca and SHRIMP instruments.
Diversity of Bivalvia Types in The Sea Waters of Donggulu Village Kasimbar District Parigi Mautong

Bivalves are a class within molluscs that includes all shells that have a pair of shells. This study aims to describe the diversity of bivalves in the waters of Donggulu village, Kasimbar district, Parigi Moutong district and the types of bivalves obtained can be used as a learning resource in the form of a pocket book. This research was conducted in Ocean Waters in Donggulu Village, Kasimbar District, Parigi Moutong Regency in February 2020. This type of research is descriptive, sampling using cruising techniques by dividing stations into three stations. The results of the research and identification found 15 types of bivalves, namely Anodonta anatina, Spondylus gaederopus, Macoma balthica, Macoma elimata, Anadara granusa, Anadara gubernaculum, Anadara sativa, Anadara sp, Vasticardium flavum, Donax faba, Hippopus hippopus, Tridacna maxsima, Paphia gallus, Gafrarium sp, and Gafrarium pectinatum. The diversity index obtained is H '= 1.088 which indicates that the bivalve species are at a moderate level. The validation of research results as a learning resource in the form of a pocket book yielded a percentage89.675% which indicates that it is feasible to be used as a learning resource
Decision Support System for Mining Land Clearing in Magelang Regency Using the Simple Attribute Rating Technique (SMART) Method

Magelang Regency is a district located on the slopes of Mount Merapi in the western region, this existence makes Magelang Regency has potential in the field of mineral mining in the form of sand and rock. The number of riots that occurred because of the opening of the mine that was not in accordance with the provisions of the Energy, Resources and Minerals Service made the candidates for the mine opener confused in determining the place that was in accordance with the provisions of the service. Each prospective mine opener has his own considerations in determining the location. This final project is made to help provide recommendations to prospective mine openers in determining the location to be opened by considering the distance from settlements, distance from the highway, area, type of mine, and mine location. Decision Support System was built using PHP and MySQL. User can select criteria to compare each location. The method used to provide recommendations is the Simple Multi Attribute Rating Technique (SMART) based on the criteria selected by the user. The final result obtained is the recommended mine location based on the order of the final scores of the compared mine sites.
Host Country Language Teaching: Theoretical and Practical Aspects of Providing Inclusive Education for International Students

The contributors aim at substantiating the need to create and test universal methodologies ensuring inclusive educational environment for non-native speaker learners in universities of host countries. The study shows that inclusive educational environment is impossible without the use of digital technologies (mobile learning, learning using VR and AR, artificial intelligence). The chapter proposes a universal methodology for organizing teaching on the basis of modular training using mobile technologies of industry 4.0. The authors present the results of the implementation of modules in experimental groups of non-native speaker learners and trainees of pre-study courses of Volgograd State University in the 2020–2021 academic year. The academic results of the course participants taking part in the experiment were processed using the Fisher angular transformation method, which allows comparing samples with high accuracy of calculations. Analyzing the participants’ satisfaction with the training results the researchers used a questionnaire based on Likert scale and followed by data processing. The study showed that the use of the proposed training module based on mobile technologies of industry 4.0 increases the level of satisfaction with learning, which plays a crucial role in the process of adaptation of non-native speaker learners to a foreign-language learning environment.
GraSP: Local Grassmannian Spatio-Temporal Patterns for Unsupervised Pose Sequence Recognition

Many applications of action recognition, especially broad domains like surveillance or anomaly-detection, favor unsupervised methods considering that exhaustive labeling of actions is not possible. However, very limited work has happened in this domain. Moreover, the existing self-supervised approaches suffer from their dependency upon labeled data for finetuning. To this end, this paper puts forward a manifold based unsupervised pose-sequence recognition approach that leverages only the natural biases present in the data. It works by clustering the projections of temporal derivatives of the fragmented data on the Grassmann manifold. Temporal derivatives are formed by the inter-frame gradients with local and global metrics. To commensurate with this, a dynamic view-invariant pose representation is proposed. Additionally, a variable aggregation step is introduced for better feature vector quantization. Extensive empirical evaluation and ablations on several challenging datasets under three categories confirm the superiority of the proposed approach in contrast to current methods.
Clinical Significance of Some Tumour Biomarkers in the Diagnosis of Breast Cancer in Comparison with Histopathological Biopsy

This study aimed to assess the diagnostic power of tumour biomarkers (Serum CA15-3, CA27.29, and CA549) in the diagnosis or confirming the breast cancer (BC) in comparison with histopathological biopsy.A case-control study consisted of (60) female patients with breast cancer and (30) healthy subjects as control.Kits were used to measure serum CA15-3, while Enzyme-Linked Immunosorbent Assay (ELISA) was used to measure Serum CA27.29 and CA549.The current study showed that there were highly significant increases in the levels of CA15-3, CA27-29 with BC cases.It was also a highly significant increase in the levels of CA15-3, CA27-29, in BC patients with stage IV compared to another state.The study also showed that the sensitivity values of the markers were: 87%, 36%, 56% for the markers CA15-3, CA27-29, and CA 549 respectively.The study also reveals that specificity values of the markers were: 62%, 36%, 40% for the same markers respectively.It could be concluded these markers could be used in the diagnosis of BC.
Wireless positioning trajectory data privacy protection method for location-based services

In recent years, mobile terminals and wireless positioning technology have developed rapidly. While enjoying high-quality service and experience, a lot of trajectory data have been generated for lbs.These trajectory data contain a lot of privacy information, such as personal body privacy information, living habits, etc. once these data are not properly processed, it is very easy to cause privacy disclosure and bring a lot of trouble to users.Therefore, how to protect these private data has become a research hotspot. The existing system architecture of privacy protection methods is summarized, and a trajectory privacy protection method based on collaboration is proposed.