Reviewerly/exHarmony huggingface dataset:
Analysis of hardware implementations of electronic signature algorithms qTesla, Crystals-Dilitium and MQDSS at different levels of security

It is known, that existing public-key cryptography algorithms based on RSA and elliptic curves provide security guarantees accompanied by complexity. Based on this one can talk about the impossibility to solve problems of integer factorization and discrete logarithm. However, experts predict that the creation of a quantum computer will be able to crack classical cryptographic algorithms. Due to this future problem, the National Institute of Standards and Technologies (NIST), together with leading scientists in the field of cryptography, began an open process of standardizing public-key algorithms for quantum attacks. An important feature of the post-quantum period in cryptography is the significant uncertainty regarding the source data for cryptanalysis and counteraction in terms of the capabilities of quantum computers, their mathematical and software, as well as the application of quantum cryptanalysis to existing cryptotransformations and cryptoprotocols. Mathematical methods of electronic signature (ES) have been chosen as the main methods of NIST USA, which have undergone significant analysis and substantiation in the process of extensive research by cryptographers and mathematicians at the highest level. These methods are described in detail and passed the research at the first stage of the international competition NIST USA PQC. Historically, in 1997, NIST sought public advice to determine the replacement of the data encryption standard (DES), Advanced Encryption Standard (AES). Since then, open cryptographic estimations have become a way of choosing cryptographic standards. For example, NESSIE (2000-2002), eSTREAM (2004-2008), CRYPTREC (2000-2002), SHA-3 (2007-2012) and CAESAR (2013-2019) have adopted this approach. Security was the main parameter in these estimations. Performance in software, performance in application-specific integrated circuits (ASICs), performance in FPGAs, and feasibility with limited resources (small microprocessors and low-power hardware) are secondary criteria. This paper presents the comparison of the hardware of three signature algorithms (qTesla, Crystals-Dilitium, MQDSS), which, in particular, are the candidates for the 2nd round of the NIST PQC competition, and the Crystals-Dilitium algorithm is the finalist of this competition. The objective of this work is to analyze and compare three hardware implementations of candidates for the second round of the NIST PQC contest for an electronic signature algorithm.
Two sides of the coin: Comments on political correctness and hate speech/language

The author shows two uses of language manipulation: positive — in relation to the phenomenon of political correctness, the implementation of which he also considers a kind of manipulation, and negative — manifested in hate speech. Political correctness generally eliminates to some extent aggressive language — hate speech. Its influence can be seen in various spheres of social life (attitude towards other nationalities, sexual preferences, religion — non-denominationalism, etc.). The area where hate speech is spreading is widely understood politics. The conclusion is that while in many spheres of social life diplomacy is in force or is beginning to apply, politics is in a state of an ever worsening war.
Relationship Betweenparticipant’s Learning Readiness Educate Through Onlinewith the Learning Results on English Courses

This research is based on the low learning outcomes of students online in English courses at the English Tutorial Center Padang, it is suspected that there is something to do with students' readiness to learn. The purpose of this study is to reveal: (1) a description of students' readiness to learn online, (2) student learning outcomes in English courses at the English Tutorial Center Padang, and (3) reveal the relationship between students' readiness to learn online and learning outcomes in the English course at the English Tutorial Center Padang. This type of research is descriptive correlational research through a quantitative approach. The population of this research is English course students for the period of July - August 2020, totaling 35 people and a sample of 70%, namely 24 people with cluster random sampling technique. The data collection technique used is a questionnaire and the tool used is a questionnaire. The data analysis technique used the percentage formula and the spearman rho formula.The results of this study indicate that: 1) students' online learning readiness in English courses at the English Tutorial Center Padang is low; 2) student learning outcomes in English courses at the English Tutorial Center Padang are low; 3) there is a significant relationship between students' readiness to learn online and their learning outcomes in English courses at the English Tutorial Center Padang. The suggestion of this research is that the manager of the English course at the English Tutorial Center Padang should provide facilities that will be used during learning so that it can foster enthusiasm and readiness to learn students. Instructors should be creative when using learning media so that they can bring up the enthusiasm and readiness of students to learn in the implementation of learning activities.Keywords: Learning Readiness,Learning Outcomes
Short FCC and CCCto Detect Eyes and Mouth in Dofferent Image Size

The face parts that can uses for recognition e.g eyes, mouth, nose, etc. Most of the face recognition did resampling the image to the same size. This research aim to regconize the eyes and mouth in the image with different size. For the features extraction algorithm that use is short Freman Chain Code and for the recognition use Consecutive Changing Characters algorithm. Data that use to be data training is the images that have the different size. The result of experiment shows that using adaptive Freeman Chain Code algorithm and adaptive Consecutive Changing Characters algorithm, the percentage of success rate is 60% for eyes and 75% for mouth.
Detection of Sickle Cell Anemia Through Contour Evidence Extraction and Estimation

Diagnosis of sickle cell anemia by manual visual inspection through microscope is time consuming and causes human errors. Observational errors occur mostly due to overlapping of cells in blood smear image. Here, an automatic segmentation approach is introduced which isolates sickle cells from all other cells within a blood sample. The proposed system is an approach to find the elliptically shaped sickle cells through geometric feature extraction and contour based segmentation to isolate sickle cells. This technique is a method of isolating sickle cells from other cells within blood sample using cell morphology. A combined approach of extraction of seed points, contour extraction and estimation of contours is used for separation of sickle cells from red blood cells. The methods used for the extraction of seed points are by Ultimate Erosion for Convex Sets and Fast Radial Symmetry transform. The contour evidence is extracted by associating edges of the cells to the seed points. The overlapping and clustered cells in image are identified using ellipse fitting method for contour estimation. Using the seed points and the contour extraction, the edges of the cells are estimated. The lines joining the shape of cells are drawn through estimation of shape of contour. This eliminates cells other than elliptical shaped cells. The proposed system can successfully isolate sickle cells from healthy blood cells within the blood smear image. This automated system has a better accuracy and faster computation speed compared to the existing methods for the detection of sickle cells. This identification methodology helps the health professionals for faster diagnosis.
Застосування комп’ютерних технологій при викладанні хімічних дисциплін

International scientific and practical conference «Pedagogy, psychology and teaching methods: international experience» : conference proceedings, July 16–17, 2021. Riga, Latvia : «Baltija Publishing», 2021. 295 pages.
Factors Influencing the Self-efficacy for Moderate Drinking of Undergraduate Students

The purpose of this study is to identify the factors influencing the self-efficacy for moderate drinking of undergraduate students.Data were collected through a survey of the undergraduate students from April 20 to June 4, 2019, self-questionnaires from Undergraduate Students.The research tool consists of employment stress, self-efficacy for moderate drinking, alcohol problem, academic stress, major aptitude, and other general characteristics.The collected data were analyzed using Descriptive statistics, Pearson's correlation coefficient, and multiple regression analysis.Based on the results, it was found that the more Employment stress (β =-.08, p=.001), Drinking problem (β =-.47, p<.001) and Academic stress (β =.15, p=.006) are the self-efficacy for moderate drinking level.Moreover, it was found that the self-efficacy for moderate drinking of undergraduate students' test is necessary to detect early drinking problems in undergraduate students.In addition, it is necessary to operate an in-university intervention clinic on the drinking problem, which is a factor affecting the self-efficacy for moderate drinking.It was found that it was necessary to find solutions to academic stress and employment stress through student counseling.It was found that it was necessary to find solutions to academic stress and employment stress through student counseling.
Sulfide trace element geochemistry and its implications for metamorphism and ore formation: an example from a sediment-hosted Cu-Co mineralization in northwestern Namibia

The Dolostone Ore Formation (DOF) is a sediment-hosted Cu-Co mineralization in Neoproterozoic carbonates and siltstones of the Ombombo Subgroup, Kunene Region, northwestern Namibia.The DOF has potential of becoming Namibia's first cobalt mine, which is currently a sought-after commodity as Co is classified as a critical raw material essential for energy storage in electric vehicles.The DOF sulfide mineralization is dominantly comprised of pyrite, pyrrhotite, chalcopyrite, sphalerite and linnaeite.Such base metal sulfides have the potential of being a significant source of other critical elements (e.g., Ga, Ge, In).Furthermore, trace element composition of sulfides has proved useful in constraining formational aspects of the sulfides and the mineralization.Trace element analyses of DOF sulfides, by LA-ICP-MS, indicate that regional metamorphism has affected the mineralization.Gallium-Ge-In-Mn-Fe in sphalerite geothermometer [1] reveals sphalerite formation temperatures above the closing temperature of the geothermometer (310 ± 50 °C).Raman analyses of carbonaceous matter (STA geothermometer) [2] show that temperatures of 340 ± 32 °C have affected the Neoproterozoic sedimentary package, but also indicate slight differences in Raman spectra of carbonaceous material in the ore horizon(s) compared to the unmineralized host rock.Comparing the trace element compositions of coexisting euhedral pyrite and anhedral pyrrhotite associated and intergrown with sphalerite and chalcopyrite, indicates the possibility of Zn and Cu of the sphalerite and chalcopyrite being sourced from earlier pre-ore pyrites.Pre-ore framboidal pyrite can be found in the surrounding clastic metasediments.Trace element trends and temperature indicators suggest that regional greenschist facies metamorphism attributed to the Pan-African Damara orogeny had a pervasive effect on the DOF mineralization.It is hypothesized that DOF mineralization is an analogue to the Central African Copperbelt deposits and that basinal brines are the source of the metals.Ongoing investigations of early mineralizing fluids will test this model.
ATFE: A Two-dimensional Feature Encoding-based Sentence-level Attention Model for Distant Supervised Relation Extraction

Distant supervised relation extraction has recently attracted researchers attention in the knowledge graph.However, the current feature encoding model of sentences can not fully represent the features in sentences, which poses a challenge.To solve this problem, we propose a two-dimensional feature encodingbased sentence-level attention model for relation extraction.In this model, we first employ bidirectional long short-term memory networks(BiLSTM) to capture the temporal dependency of the words in the sentence.Then we employ multi-dilated convolution to obtain the higher-level semantic units hidden in the sentence.Afterwards, we combine the above two-dimensional features to embed the encoding of sentences, which is expected to enhance the model's ability to express sentence features.Finally we build sentence-level attention to complete the relation extraction task.Compared with other excellent methods, the proposed approach provides a significant performance improvement.
The vocabulary mastery for early childhood through songs

The study was an experimental study that aims to improve early childhood’s education students in English vocabulary skills through interactive songs learning method for early childhood at PAUD Tarbiyatul Athfal 49, that was located in Kuripan, Ngadirgo village, Mijen district, Semarang. The study involved two groups of students, those were the control group (25 students) who were taught by using pictures, and the experimental group (25 students) who were taught by using songs. The pre-test was given before the treatment began and the post-test was carried out after the experiment was finished. The null hypothesis was then drawn, and T-test was also conducted to compare the mean score of the two groups. The mean score of the control group was 13.3, while the mean score of the experimental group was 16.4. The results showed that the mean score of the experimental group was higher than the control groups The t-test that had been carried out also showed that there were significant difference between the two groups was 0,23 (the figure was above 0,5). Based on the above results, it proved that Tarbiyatul Athfal early childhood education students understood in English by using songs was better than other learning method, since songs can motivate them to know more about English vocabulary
Visually Impaired Persons and Access to Copyrighted Works: The Indian Roadmap

The copyright regime poses challenges to visually impaired persons, such as the inability to access books written in a format suitable for their reading needs.Therefore, in 2013, the Marrakesh Treaty to Facilitate Access to Published Works for Blind Persons, Visually Impaired, or Otherwise Print Disabled was carried out to resolve these challenges.India has adopted certain exceptions in its copyright regime, which facilitate access to the visually impaired.However, the beneficial effects of these provisions remain debatable.This research is based on an empirical study conducted on the effectiveness of the provisions of the Indian Copyright Act on facilitating access to copyrighted works to visually impaired persons.It argues that although India has hit the mark in drafting suitable legislation, there are deficiencies in its implementation.Therefore, as the first country to ratify the Marrakesh Treaty, effective implementation of the provisions is needed to make it an illustrious example to the world.
Ability to Write a Reader’s Letter About the School Environment in 03 Lumbir State Junior High School

The issues examined in this research relates to the ability of students in writing letters of readers about the school environment. This research uses descriptive quantitative methods, and sampling techniques used are random class (cluster random sampling). Engineering data collection using the technique of main performance writing letters readers about the school environment. Technique of data analysis using quantitative analysis with the descriptive approach. Based on research results, gained that ability of students in writing letters of readers about the school environment belongs simply because final value shows number 67. The constraints experienced by students in writing letters of readers about the school environment i.e. students still lack understanding about the reader's letters, and the difficulty of applying aspects of mail readers. The most prominent barriers in writing letters of readers about the school environment experienced by students i.e. difficulty applying the spelling language Indonesia with good and true.
Using Autonomous Drones Interactions towards Mobile Personal Spaces for Indoor Environments

We propose an extension of a recent work using convo-lutional neural networks and drones, such as Learning tofly by using DroNet [8] that can possibly safely drive adrone autonomously. The combination of (i) the DroNetarchitecture and weights to apply to CNNs to avoid thecrashes; (ii) combining it with DLIB tracker, a corre-lation implemented tracker based on Danelljan et al.’spaper [3] work; (iii) the extraction of descriptors usingSpeeded Up Robust Features [1]; and (iv) Fast Libraryfor Approximate Nearest Neighbors [10] for the featurematching – leads a drone to track any object and avoidcrashes autonomously without any prior informationabout the object. The main goal is to create a partnershipbetween the drone(s) and the participant as the dronefollows the participant and avoids collisions. Our workextends existing methods to also included a way for adrone to follow a person even if the person is hiddenfor a few frames. Our algorithms also work in low/poorambient light satisfactorily. In future, our technique canbe used to provide novel indoor applications for drones.
Optimizing resources to mitigate stragglers through virtualization in run time

Modern computing systems are generally enormous in scale, consisting of hundreds to thousands of heterogeneous machine nodes, to meet rising demands for Cloud services. MapReduce and other parallel computing frameworks are frequently used on such cluster architecture to offer consumers dependable and timely services. However, Cloud workloads’ complex features, such as multi-dimensional resource requirements and dynamically changing system settings, such as dynamic node performance, are posing new difficulties for providers in terms of both customer experience and system efficiency. The straggler problem occurs when a small subset of parallelized jobs takes an excessively long time to execute in contrast to their siblings, resulting in a delayed job response and the possibility of late-timing failure. Speculative execution is the state-of-the-art method to straggler mitigation. Speculative execution has been used in numerous real-world systems with a variety of implementation improvements, but the results of this thesis’ research demonstrate that it is typically wasteful. The failure rate of speculative execution might be as high as 71 percent, according to different data center production trace logs. Straggler mitigation is a difficult task in and of itself: 1) stragglers may have varying degrees of severity in parallel job execution; 2) whether a task should be considered a straggler is highly subjective, depending on various application and system conditions; 3) the efficiency of speculative execution would be improved if dynamic node quality could be adequately modeled and predicted; 4) Other sorts of stragglers, such as those generated by data skews, are beyond speculative execution’s capabilities.
Emerging challenges in Indian teacher education

The progress of country depends upon the quality of its teacher and for this reason teaching is the noblest all profession. Teacher education is a programme that is related to the development of teacher proficiency and competency that would enable and empower the teachers to meet the requirements of the profession and face the challenges there in. India has a large number of teacher and needs many more. All process of teacher recruitment, training, motivation, incentives, retention and feedback therefore have to be planned on a large scale. Now a days the field of education is not only limited with books but has broadened in various new horizons. Development and changes in education have affected Teacher Education, necessitatiory review and reforms. It demands understanding with investigative minds, assimilating the required transformations, accommodating and responding to the universal needs. We also need to train teachers with new perspectives as the outer world is in classroom and schools are opening to the world. Teacher development should not be limited to a specific duration rather it should be lifelong activity that should be flexible and participative. The intent of the present paper is to enhance Teacher Education quality in India by focusing on the emerging challenges and related concerns. Various issues of Teacher education namely: Developing creativity, the problem of research in education, Condition of teachers, Developing life skills, Quality Education and Isolation of teacher education department. It&rsquo;s challenge for every nation to provide well prepared and effective teachers. This paper deals with some issues of Teacher Education, Challenges and Proposed Suggestions for teacher education.
Information System Data Processing Population Article 03 Village Residents Cibeber

Effectiveness and efficiency are mandatory requirements in this modern era, not least in terms of population data processing at the RT/RW level. This is what underlies the authors carry out research related to the design of information systems for data processing residents of RW 03 Kel. Cyber. The problem that occurs is that data processing is still conventional where all archives are still recorded manually in the master book so that the data collection process takes a long time. And submitting a cover letter takes a long time because it has to match the existing data. In addition, data is often lost when transferring management from each period. Therefore, it is necessary to update by utilizing currently available technology to facilitate and simplify the work of the employees on duty. The solution proposed by the author to solve this problem is to use the waterfall method by creating a desktop-based application. The result to be achieved is to make it easier to store data using a database and the process of submitting correspondence becomes more effective and efficient.
The importance of digital literacy in primary education

The idea of digital literacy is adopted and put into educational practice by most countries in the world since it is the answer outlined by the need to develop a society dominated by information and technology. Digital education is a priority of the education and training system that aims at training and developing digital skills for lifelong learning and the professions of the future. The need to approach digital education in Romanian primary education would be the first step towards important digital literacy in optimizing online learning activities. The initiation from a young school age in the sphere of knowledge of safe use of technology can be materialized, through a systematic didactic approach, rising in the ranking of European states regarding the level of digital competencies.