Reviewerly/exHarmony huggingface dataset:
DEVELOPMENT OF BIOLOGICAL EDUCATION IN THE CONTEXT OF THE HISTORY OF THE RUSSIAN AND SOVIET SCHOOLS

The article examines the formation and development of the theory and practice of biological education — from the prerevolutionary Russian school to the Soviet school. Based on the presented curricula, it is possible to judge the priorities of educational policy, the importance attached to biology and other academic subjects of the natural science cycle. The dependence of their teaching on the development of scientific research is shown.
Research Guides: MUS 234: Harmony & Form IV: Find Articles

A guide for students in Dr. Stanziano's MUS 234 class composing in a particular musical style.
Deconvolving signals of the stretched exponential form

A solution is presented for parametrically deconvolving an axisymmetric intrinsic field signal when it is expected to conform to the stretched exponential family of functions (SEF). Except for the Gaussian SEF, computable analytical models for the forward Abel transform of SEFs did not exist until recently. I will highlight a novel mathematical identity that has facilitated this calculation and show how to use the 2D models for the Abel transform to reconstruct the 3D signal to an accuracy of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:mo>∼<!-- ∼ --></mml:mo> </mml:mrow> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:msup> <mml:mn>10</mml:mn> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:mo>−<!-- − --></mml:mo> <mml:mn>6</mml:mn> </mml:mrow> </mml:msup> </mml:mrow> </mml:math> (or better) under noise-free conditions (possibly even with zero error). Several deconvolution techniques have tested their reconstructions using a noise-free projection of the Gaussian. Under similar conditions, our reconstruction produces errors <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:mo>∼<!-- ∼ --></mml:mo> </mml:mrow> <mml:mn>1950</mml:mn> </mml:math> times lower than 10 other techniques; we get significantly lower errors for other SEFs as well using fewer computing resources. Additionally, unlike other methods, our approach works on unequally spaced data and does not encounter the problem of increasing errors with radii in the outer parts as seen in all other methods. I will describe applications in the imaging of diverse astrophysical and biological systems where SEFs have been used and also highlight the possibility of using the projection of SEFs as basis functions in image deconvolution algorithms.
DEVELOPMENT OF DIGITAL COMPETENCIES THROUGH ICT IN VOCATIONAL EDUCATION

The aim of the study is to establish how digital competencies are developed through information and communication technologies in vocational education.In today's world, information and communication technologies enable communication, innovation and efficiency in all spheres of life.In the future, iconoclasm requires new abilities, from people not only with a set of professional skills, but who are creative and confidently use the full range of digital technologies.For the purposes of quality vocational education, new innovative methods of teaching and learning are needed. The criteria for the effectiveness of a teacher in vocational education take into account not only the indicators of the educational activities of the students, but also their preparation for realization in a digitalized world.One of the leading activities of a vocational education teacher is the development of technology for designing lessons for theoretical and practical training.The training in information technology in the first high school stage aims at the students to master the knowledge, skills and attitudes related to the development of basic digital competencies.As a result of the training, students gain confidence to quickly adapt to new technologies, to integrate them into everyday activities and use for independent learning, acquire skills to solve problems in a network environment and to create and publish information on the Internet. The introduction of practically oriented pedagogical projects in the educational process is considered a necessary condition for activating all participants in the educational process.Information and communication technologies can be used in all types of lessons from this stage of training.Today, digital competence is part of the key competences and is considered a key factor in the development of digital culture and the information society worldwide.The expected long-term benefit is an increase in practical professional and digital competencies and skills that will form competitive individuals in the labor market
Classification Of Histopathological Images Using Deep Learning Approach

Deep learning-based computer-aided diagnosis (CAD) is gaining prominence, for interpreting histopathology pictures. However, there has been little research into reliably classifying breast biopsy tissue into different histological categories with hematoxylin and eosin stained images. Researchers and professionals aim to create a computer-aided diagnosis method for diagnosing breast cancer histopathology pictures. Using eosin stained and hematoxylin images, CAD has helped improve the diagnosis accuracy of biopsy tissue. Traditional methods for extracting handcrafted features have been employed by most CAD systems, which are inaccurate in diagnosis and are time-consuming. Both CAD and computational diagnostics are utilized to help pathologists work more efficiently and accurately. Different techniques that divide breast cancer histology images into benign and malignant categories have been proposed in this research. A custom CNN model and three pre-trained models for classification of histopathological images have been used with Resnet50 model yielding an accuracy of 96 percent.
Analyzing Data Privacy In Cloud Computing Using Biometric Recognition System

Privacy concerns are progressively significant  in the online world. It is generally acknowledged that  cloud computing can possibly be a target to privacy breach  or disabling.The safe handling of individual data in the  cloud addresses a tremendous challenge.Significant issue  while putting delicate data over the cloud is that it is open  to cloud suppliers all things considered. This raised  worries about data privacy. In the previous thirty years, the  universe of calculation has changed from centralized  (client-server) to disseminated frameworks and now we  are returning to virtual centralization (Cloud Computing).  Location of data and processes has the effect in the domain  of calculation. On one hand, an individual has full control  on data and processes in his/her PC. Then again, we have  the cloud computing wherein, the service and data support  is given by some service provider which leaves the  client/client unaware of where the processes are running  or where the data is put away. Along these lines, sensibly  talking, the client has no power over it. Cloud computing  utilizes the web as the correspondence media. At the point  when we take a gander at the security of data in the cloud  computing, the service provider needs to give some  affirmation in service level agreements (SLA) to persuade  the client on security and privacy issues . In the developing universe of data and web data privacy  has most extreme significance ,which on any level can't be  basically overlooked. A solitary organization may have  the individual data of millions of clients—data that it  needs to keep hidden so that clients' identity stays as  protected and hidden as could be expected, and the  organization's reputation remaining untarnished. New  strict measures in regards to data privacy is the need of  great importance .As while the frameworks are creating  data confidentiality is in question since individuals with  vindictive goal are finding better approaches to oversee  the data not intended to them .Data privacy requests  appropriate examination and consideration as Unethical  measures and works on in regards to data abuse are at top  these days ..
Forward-secure Multi-user Aggregate Signatures based on zk-SNARKs.

As a solution to mitigate the key exposure problems in the digital signature, the forward security has been proposed. The forward security guarantees the integrity of the messages generated in the past despite leaks of a current time period secret key by evolving a secret key on each time period. In this paper, we propose a new forward secure aggregate signature scheme utilizing recursive zk-SNARKs (zero knowledge Succinct Non-interactive ARguments of Knowledge). Our proposal has constant complexities in key/signature sizes, signature generation, and verification time. The proposed forward secure signature scheme can aggregate signatures generated by multiple users as well as a single user. The security of the proposed scheme is formally proven under zero-knowledge assumption and random oracle model. The experiment results show that our signature scheme yields 12 s for signing time, 1 ms for verification time, 25 s for aggregation time, with the 1.6 KB secret key size and signature size independent of the number of time periods.
Dealing with training and test segmentation mismatch: FBK@IWSLT2021

This paper describes FBK's system submission to the IWSLT 2021 Offline Speech Translation task. We participated with a direct model, which is a Transformer-based architecture trained to translate English speech audio data into German texts. The training pipeline is characterized by knowledge distillation and a two-step fine-tuning procedure. Both knowledge distillation and the first fine-tuning step are carried out on manually segmented real and synthetic data, the latter being generated with an MT system trained on the available corpora. Differently, the second fine-tuning step is carried out on a random segmentation of the MuST-C v2 En-De dataset. Its main goal is to reduce the performance drops occurring when a speech translation model trained on manually segmented data (i.e. an ideal, sentence-like segmentation) is evaluated on automatically segmented audio (i.e. actual, more realistic testing conditions). For the same purpose, a custom hybrid segmentation procedure that accounts for both audio content (pauses) and for the length of the produced segments is applied to the test data before passing them to the system. At inference time, we compared this procedure with a baseline segmentation method based on Voice Activity Detection (VAD). Our results indicate the effectiveness of the proposed hybrid approach, shown by a reduction of the gap with manual segmentation from 8.3 to 1.4 BLEU points.
MEDIA PEMBELAJARAN AKSARA JAWA DENGAN TEKNIK AUGMENTED REALITY MENGGUNAKAN VUFORIA SDK

Javanese script is a priceless cultural heritage. The form of the script and the art of making it become a legacy that deserves to be preserved. Javanese script is used in various Javanese texts and several other languages around the narrative area. This script is better known as Hanacaraka or Carakan. However, over time the use of Javanese script began to decrease. Many people don't know Javanese script. One of the causes is the form of Javanese script which is more difficult to understand than Latin script so that the interest in learning is reduced.&#x0D; In today's technological development, learning media are beginning to use technology as a learning tool. This is to improve the quality and effectiveness of learning. One of the technologies that has been implemented is Augmented Reality. This technology is able to represent real objects into virtual objects in the form of images, video or audio. Learning Javanese script can use this technology to improve the effectiveness of learning. This Augmented Reality was created using Vuforia who later designed the application using Unity.&#x0D; With the creation of Javanese script learning media applications that implement Augmented Reality technology, it is easier to understand Javanese script. Especially understanding the form and pronunciation. So that the knowledge and use of Javanese script will continue to be preserved.
Emotional Data Mining and DTW Algorithms in English Speech Teaching Recognition

The main research focus of this paper is the non-specific English spoken speech recognition method under the PC system. At the same time, this paper improves the detection method of speech endpoints, improves the recognition algorithm of speech recognition under PC, and uses the DTW algorithm to match the template, as it is easy to implement. In addition, the endpoint detection method proposed in this paper improves the efficiency of speech recognition. Many English consonants are clear consonants but, when disturbed by noise, they are easily drowned. In the specific person recognition system, the recognition rate is higher. In the non-specific person recognition system, the recognition rate is lower. This paper explores the teaching of English phonetics recognition based on emotional data mining and dynamic time integration algorithm. In the actual application of speech recognition systems, there is a strong demand for real-time software functions, which requires improving the operational efficiency and running time of the system. Such a system can help to improve oral recognition and teaching efficiency in the English classroom.Keywords: data mining; Dynamic time integration algorithms; Speech recognition; Operational efficiencyCite AsN. Wang, Emotional Data Mining and DTW Algorithms in English Speech Teaching Recognition, Engineering Intelligent Systems, vol. 27 no. 3, pp. 103-109, 2019.
Lugshelf Luggage / Siti Nor Syafiqah Meli

Travel is an important aspect where travelers cannot simply ignore the roles of luggage. Before start packing, it is necessary to think of the right luggage needed to store all the traveler’s needs. Our company produces LugShelf Luggage which contains the latest creative innovation in terms of technology system and multifunctional. It is very convenient to use for all user especially travelers and businessman who are going for a short trips or holidays. This LugShelf Luggage is a multifunctional product since it consists of pull-up shelf which can help the travelers to pack their cloths neatly during holidays without needed to unpack back once arrived. Next, this luggage will act as an anti-theft since it connects with global positioning system (GPS) in the mobile phone to locate the luggage. This luggage also consists of fingerprint system which allows only the travelers to open the luggage. LugShelf Luggage also has a built-in powerbank to help travelers charge their smart phones or others during travelling. The uniqueness of this LugShelf Luggage is it was built with hard material such as polycarbonate which also waterproof. This LugShelf Luggage has its own advantages and uniqueness that was not found in today’s common luggage, thus providing a competitive advantage over more established competitors. LugShelf Luggage is a new creation that will change the lifestyles into more organized and safer in order to help travelling becomes more fun. In addition, LugShelf is focused in safety and security to the users.
The Use of Runtime Verification for Identifying and Responding to Cybersecurity Threats Posed to State Actors During Cyberwarfare

This paper considers the utility of the use of runtime verification techniques for detecting and responding to cybersecurity threats. To this end, it considers two questions: First, it evaluates the efficacy of runtime verification for identifying zero-day threats and threats that are not otherwise widely known based up system operations. Second, it considers the particular use of these techniques by state actors (i.e., nation states engaged in declared or undeclared cyberwarfare) who are likely to encounter a greater level of such vulnerability exploits than individuals or private businesses during the normal operations. Drawing on the analysis in the two foregoing areas, the paper concludes by identifying key areas of needed future work to support runtime verification's application in this area.
LibGuides: Using JSTOR Essential: Search Functionality & Features

The Merced College Library now subscribes to JSTOR Essential, a version of JSTOR which provides access to content from over 680 journals in the humanities and social sciences.
청소년을 위한 오페라 평생교육 프로그램 운영에 관한 질적 사례 연구

The purposes of this study are to investigate the management process of an opera life-long educational program for youths and discover its educational meanings and implications. For these purposes, the investigator designed a qualitative case study. Data was collected through participant observation, in-depth interviews, and document analysis. The findings were as follows: first, the study examined the opera characteristics in the management process of an opera life-long educational program for youths and distinguished four sessions on forming rapport, studying the major content of an opera, completing the stage and performing on it, and arranging the outcomes. Secondly, the opera life-long educational program had some implications for life-long education including total arts education, increased drive, improved evaluation, and whole-person development and also for learners including identity formation, more self-confidence, and discovery of potential abilities. The content of the cases and educational practice discovered in the study will hopefully contribute to the reinforcement and development of life-long education in the nation.
The Sample Complexity of Robust Covariance Testing

We study the problem of testing the covariance matrix of a high-dimensional Gaussian in a robust setting, where the input distribution has been corrupted in Huber's contamination model.Specifically, we are given i.i.d. samples from a distribution of the form $Z = (1-\eps) X + \eps B$, where $X$ is a zero-mean and unknown covariance Gaussian $\mathcal{N}(0, \Sigma)$, $B$ is a fixed but unknown noise distribution, and $\eps>0$ is an arbitrarily small constant representing the proportion of contamination. We want to distinguish between the cases that $\Sigma$ is the identity matrix versus $\gamma$-far from the identity in Frobenius norm. In the absence of contamination, prior work gave a simple tester for this hypothesis testing task that uses $O(d)$ samples. Moreover, this sample upper bound was shown to be best possible, within constant factors. Our main result is that the sample complexity of covariance testingdramatically increases in the contaminated setting. In particular, we prove a sample complexity lower bound of $\Omega(d^2)$ for $\eps$ an arbitrarily small constant and $\gamma = 1/2$. This lower bound is best possible, as $O(d^2)$ samples suffice to even robustly {\em learn}the covariance. The conceptual implication of our result is that, for the natural setting we consider, robust hypothesis testing is at least as hard as robust estimation.
Multilevel Entity-Informed Business Relation Extraction

This paper describes a business relation extraction system that combines contextualized language models with multiple levels of entity knowledge. Our contributions are three-folds: (1) a novel characterization of business relations, (2) the first large English dataset of more than 10k relation instances manually annotated according to this characterization, and (3) multiple neural architectures based on BERT, newly augmented with three complementary levels of knowledge about entities: generalization over entity type, pre-trained entity embeddings learned from two external knowledge graphs, and an entity-knowledge-aware attention mechanism. Our results show an improvement over many strong knowledge-agnostic and knowledge-enhanced state of the art models for relation extraction.
PENGGUNAAN DIKSI DALAM IKLAN PADA KELAS VIII SEMESTER GENAP SMP NEGERI 14 BANDAR LAMPUNG TAHUN PELAJARAN 2018/2019

The purpose of this study was to find out and describe the use of diction in advertisements for class VIII Even Semester 14 Bandar Lampung Public Middle School 2018/2019 academic year. The use of diction in the advertisement of students analyzed includes inappropriate diction, diction is not correct according to rules, and diction is not commonly used. This research method will be used qualitatively. The subjects of this study were students of class VIII.G which numbered 28 students according to the teacher's suggestion during the pre-research process. Data collection techniques use assignments. Students will be given certain themes and write advertisements. Students are emphasized using diction. The data analysis technique uses descriptive qualitative analysis. The results of the study show that the use of diction in student advertisements is still a lot of deviations based on the three categories of diction which are aspects of analysis. In the aspect of diction in the right category, students have not revealed the correct diction according to the requirements of diction because students are not aware of using it. In the second aspect, there are diction that are not in accordance with the rules of advertising, students use foreign languages ​​that are difficult to interpret. In the third aspect is the diction of the usual category. In this case students are said to be good in the usual category (usage).
Robust Forecasting through GeneralizedSynchronization in Reservoir Computing

Reservoir computers (RC) are a form of recurrent neural network (RNN) usedfor forecasting timeseries data. As with all RNNs, selecting thehyperparameters presents a challenge when training onnew inputs. We present amethod based on generalized synchronization (GS) that gives direction indesigning and evaluating the architecture and hyperparameters of an RC. The'auxiliary method' for detecting GS provides a computationally efficientpre-training test that guides hyperparameterselection. Furthermore, we providea metric for RC using the reproduction of the input system's Lyapunovexponentsthat demonstrates robustness in prediction.
EL DESAFÍO DE REORGANIZAR LA DIDÁCTICA DE LA QUÍMICA Y SU ENSEÑANZA

After the declaration by the OMS of the COVID-19 as a pandemic and the social, preventive and compulsory isolation declared in our country, the face-to-face classes in the universities were interrupted. In the case of Special Chemistry Didactics, it was reorganized, trying to maintain the pedagogical link through with the Moodle virtual platform, incorporating virtual classroom, online class observations, other digital tools and favouring initial and continuous professional teacher training. The changes made allowed suggesting proposals to incorporate new links and devices for blended learning (virtual-face-to-face).
한국 대학생 L2와 L3 언어 학습자의 학습 동기체계 변인 비교 연구

This study explores motivational dispositions of Korean university L2 and L3 language learners within the framework of the Motivational Self System. A total of 141 students participated in the study. The findings presented that the variable factors of the motivational self system showed different characteristics in terms of the gender, proficiency levels, and imagery changes in the L2 and L3 system, respectively. The ideal self and the learning effort factors were not significantly different in gender for L2 learning, while these factors were significantly different in gender for L3 learning. The ought-to self factor was not significantly different in imagery changes for L2 learning, while it was significantly different in imagery changes for L3 learning. (Geumgang University)