Reviewerly/exHarmony huggingface dataset:
Gaussian Process Nowcasting: Application to COVID-19 Mortality Reporting

Updating observations of a signal due to the delays in the measurement process is a common problem in signal processing, with prominent examples in a wide range of fields. An important example of this problem is the nowcasting of COVID-19 mortality: given a stream of reported counts of daily deaths, can we correct for the delays in reporting to paint an accurate picture of the present, with uncertainty? Without this correction, raw data will often mislead by suggesting an improving situation. We present a flexible approach using a latent Gaussian process that is capable of describing the changing auto-correlation structure present in the reporting time-delay surface. This approach also yields robust estimates of uncertainty for the estimated nowcasted numbers of deaths. We test assumptions in model specification such as the choice of kernel or hyper priors, and evaluate model performance on a challenging real dataset from Brazil. Our experiments show that Gaussian process nowcasting performs favourably against both comparable methods, and against a small sample of expert human predictions. Our approach has substantial practical utility in disease modelling --- by applying our approach to COVID-19 mortality data from Brazil, where reporting delays are large, we can make informative predictions on important epidemiological quantities such as the current effective reproduction number.
Чарли Чаплин — великий «Гамлет»

The socionic analysis of the personality of Charlie Chaplin is carried out. It is shown that they belonged to the type of ethical-intuitive extrovert (ET).
A Mixed Study on the Somatic Mindfulness Meditation of College Students －Focused on Mindfulness, Body Awareness, and Ego-resilience

This study examined the effects that a somatic mindfulness course had upon the body awareness, ego-resilience and mindfulness of college students. The participants included 91 students attending C college, located in Gyeonggi-do. 51 students were assigned to a somatic mindfulness meditation course, and 40 students (the control group) were assigned to a humanities course, without any mindfulness and body awareness training involved. The results of mindfulness, body awareness, and ego-resilience upon the two groups were assessed in week 1, and again when the course was over after 14 weeks. Homogeneity using a variance test, the mean, the standard deviation, and a mixed ANOVA were performed using the SPSS 2.0 program. In parallel with this, a focus group interview was conducted with eight students in order to evaluate their personal experience of the somatic mindfulness meditation course, along with their experience of practicing the course’s techniques at home. Finally, the study assessed any changes that the students might have felt as a result of taking this course. The students were selected based on their attitude toward the course, their attendance record, and their home practice rate.&lt;br/&gt;The quantitative data results showed that in all mindfulness (F=10.531, p&lt;.01), body awareness (F=19.867, p&lt;.001), and ego-resilience (F=4.349, p&lt;.05), the interaction effects between the groups, and the time of assessment, were statistically significant. Based on the qualitative analysis, the results were classified into four areas: 1) physical, 2) emotional, 3) cognitive, and 4) everyday life, as well as into 15 subcategories. The subcategories included ‘decrease of mind-body discomfort’ in the physical area, ‘being able to maintain some distance from negative emotions’, ‘reduced frustration’ in the emotional area, ‘being aware of differences between thoughts and reality’, ‘becoming generous with myself’ in the cognitive area, and ‘choosing a meditation method for myself’ in the everyday life area.&lt;br/&gt;The findings indicated that the students managed the stress they experienced from their school work and in their personal lives using what they learned from the course. Based on these results, the use of mindfulness as a way of educating self-care for mental health, and as a tool for future character education at the college level, is further discussed.
Intellectual Property in the New Technological Age: 2021 - Chapters 1 and 2

Rapid advances in digital and life sciences technology continue to spur the evolution of intellectual property law. As professors and practitioners in this field know all too well, Congress and the courts continue to develop intellectual property law and jurisprudence at a rapid pace. For that reason, we have significantly augmented and revised Intellectual Property in the New Technological Age.
Risk Analysis in Information Technology

Risk Analysis and Management is a key task administration exercise to ensure that the least variety of surprises occur whilst your task is underway. While we can by no means predict the future with certainty, we can follow an easy and streamlined threat administration procedure to predict the uncertainties in the tasks and reduce the incidence or affect these uncertainties. This improves the danger of profitable mission completion and reduces the penalties of these risks. This paper offers structured Risk Management in information technology, its scopes, and resources. It also includes some tools which can help us in risk assessment and how it impacts business impact analysis
BRASS Business Guides: BRASS Business Reference in Academic Libraries: New Member Orientation: BRASS Business Reference in Academic Libraries 101

This guide is intended to give you, a new member of BRASS Academic, a rundown on how this committee operates and what kinds of things we do.
COMPATIBILITY OF SELECTION OF STUDENT DEPARTMENTS USING k-NEAREST NEIGHBOR AND NAÏVE BAYES CLASSIFIER IN INFORMATICS PRIVATE VOCATIONAL SCHOOL, SERANG CITY

Selection of majors by prospective students when registering at a school, especially a Vocational High School, is very vulnerable because prospective students usually choose a major not because of their individual wishes. And because of the increasing emergence of new schools in cities and districts in each province in Indonesia, especially in the province of Banten. Problems experienced by prospective students when choosing the wrong department or not because of their desire, so that it has an unsatisfactory value or value in each semester fluctuates, especially in their Productive Lessons or Competencies. To provide a solution, a departmental suitability system is needed that can provide recommendations for specialization or major suitability based on students' abilities through attributes that can later assist students in the suitability of majors. The process of classifying the suitability of majors in data mining uses the k-Nearest Neighbor and Naive Bayes Classifier methods by entering 16 (sixteen) criteria or attributes which can later provide an assessment of students through this test when determining the majors for themselves, and there is no interference from people. another when choosing a major later. Research that has been carried out successfully using the k-Nearest Neighbors method has a higher recall of 99%, 81% accuracy and 82% precision compared to the Naïve Bayes Classifier whose recall only yields 98% while the accuracy and precision is the same as the k- Nearest Neighbors.
College Online Voting System

College Online Voting System is a web-based system, it automates the running of elections and surveys online. Users are individually interacting with the system. All user interaction is performed remotely through the user's browser. Before voting user should fill registration form and provide their details, that details are compared with details in college database, if data’s are match then user request form is accepted and provided by username and password, otherwise entry is going to be cancelled by administrator. Users using their username and password log in into this system and vote on that date of election only. In this system contains two level of user’s, one is administrator level and another one is voter level.
Statistical Mechanical Analysis of Neural Network Pruning

Deep learning architectures with a huge number of parameters are often compressed using pruning techniques to ensure computational efficiency of inference during deployment. Despite multitude of empirical advances, there is a lack of theoretical understanding of the effectiveness of different pruning methods. We inspect different pruning techniques under the statistical mechanics formulation of a teacher-student framework and derive their generalization error (GE) bounds. It has been shown that Determinantal Point Process (DPP) based node pruning method is notably superior to competing approaches when tested on real datasets. Using GE bounds in the aforementioned setup we provide theoretical guarantees for their empirical observations. Another consistent finding in literature is that sparse neural networks (edge pruned) generalize better than dense neural networks (node pruned) for a fixed number of parameters. We use our theoretical setup to prove this finding and show that even the baseline random edge pruning method performs better than the DPP node pruning method. We also validate this empirically on real datasets.
THE ADMISSIBILITY OF EARTH OBSERVATION DATA IN LEGAL PROCEEDINGS: A CLOSER LOOK TOWARDS DATA IMAGING

Space capabilities utilization, specifically Earth observation capabilities is not just limited to environmental protection and disaster mitigation, as was shown in the UN Principles on Remote Sensing.It can also be used to support law enforcement and legal proceedings in court.However, the technology of Earth observation is very complex and the process from primary earth observation data to analyzed information requires a degree of manipulation to create comprehensive data.Because of this, there is an issue of admissibility of Earth observation data in court.This article would like to answer the fundamental question on how can this data be admissible, beginning with the procedure to obtain it and to ensure the authenticity of the data, and finds that there are methods of Data Imaging and Digital Audit that may ensure its authenticity.It will also find that obtaining this data for evidence requires a process of special agreement that needs to be looked at more in the future.
NEED FOR TEACHER TRAINING IN INFORMATION AND COMMUNICATION TECHNOLOGIES

M.E. Senties Santos, C.P. Garrido Vargas, H. Zizumbo Ramírez, M.E. Fragoso Terán, J.A. Acosta CázaresUniversidad Veracruzana (MEXICO)
An Integrated Platform of Smart Objects Supporting the Quality of Life of Frail People

In this paper an Integrated Platform of Assistive Technology supporting elderly and people with impairments in their own premises is presented. The platform consists of a network of interconnected and sensor-based intelligent objects, with the purpose of monitoring parameters of end-users and their living environment. Both wearable (smartwatch, RFID reader, ECG) and environmental (environmental monitoring, passive RFID tags, smart switches, smart Reed relays, power monitors, RGB-D cameras, seat-posture monitoring) sensors and devices have been installed in the Living Labs. Data collected by the sensors are conveyed to a remote server, hosting also smart paradigms to extract suitable information related to the status and habits of end-users. Such information is then made available to caregivers. The architecture presented through this paper represents an example of a customizable and flexible assistive system, aimed to improve the life quality of elderly through the implementation of the “Smart Home concept”, which is strategic to promote an Active and Healthy Ageing (AHA) society.
東北アジア海域に属する人麻呂‘石見相聞歌’の[角]に染みている古代新羅文化の考察

It is known that Hitomaro's Iwami (present-day western Shimane Prefecture) Somon Songs (135) depicts the seaside of “Tsuno(角)” and the place name of “Kara Saki(a cape of Korea))”. In other words, it can be naturally read that the existence of Karasaki(Cape on the sea towards Korean　Peninsula(岬)), which was directed toward ancient Silla, is clearly reflected in this “Tsuno(角)” land. Therefore, in this paper, I would like to argue that this ancient Silla culture took the Tsushima Current and flowed to the Sea of Japan in Northeast Asia through the islands off the coast and the “Tsunoshima” of Munakata(宗像), and spread. First, there is the god of YatsukanoMizuomiTsunonomikoto(八束水臣津野命) in “Izumo Fudoki”, which is related to the place name of created along the flow of the Tsushima Current In short, this god is a god with the myth that he pulled the surplus land of Silla with a net, and it is incorporated in the family tree of Susanoo-no-Mikoto, and the god name related to “Tsuno. It is known to be “TsunonoMikoto”(津野命). 　So, if you enumerate the examples of the main god names(or personal names) that are closely related to “Tsuno, Tsunokori and “Ishikori Dome” are from Silla to the prince Amenohiboko. It has become clear that the story is based on the culture of iron smelting engineers brought about by “Amenohiboko”. Next, in “Kamono Taketsunomi”, “Ajisukitakahikone”, which was handed down along with “Munakata along “Tsunoshima, is the blacksmithing culture of Silla. It turns out that there is. In particular, in the anecdote of Mandanomuraji-Koromonoko(茨田連衫子), a descendant of “Kushitsunowakenomiko”櫛角別王) it is known that the civil engineering technique from Silla and the shrine maiden's Shinsen magical faith by Silla shown by the gourd are recorded. There is no time to enumerate. 　If you try to illustrate the influence of the ancient Silla culture surrounding these “Tsuno” with Hitomaro's phrase, the first thing that comes out is the place name of “Sono(薗)” at Tsuno　beach(角の浜) (No. 135). It is known that the god of Silla “Soshimori” is expressed there.　The second is the Makurakotoba “Takunawano(栲紲之Vol. 2-217)”. In this makurakotoba, traces of being pulled by a thick line(a rope 綱) and firmly tied as if to symbolize the culture of ancient Silla are witnessed. Furthermore, it can be said that the notation “Takubusuma Silla”(15-3587), which is the dispatched Silla envoy, is conspicuous, but it is said that the “a rope(綱)” in the above-mentioned Fudoki myth has pulled the land culture of Silla. It can be seen that the mythical narrative　overlap each other and the Silla culture is expressed in concentration. 　As mentioned above, when considering each God's name(or,　person's name) related to the “Tsuno” with the place names of “Tsuno” and “Kara-Saki(a cape of Korea)” in the Hitomaro song in mind, the he place names of the “Tsuno sea area”(角の海域) is Sanin(山陰) It is known that many of the advanced Silla's civil engineering techniques and religious culture, including the bronze and ironware of ancient Silla that were passed down to Iwami, were imported.
Comparative analysis of the scalar point multiplication algorithms in the NIST FIPS 186 elliptic curve cryptography

In today's world, the problem of information security is becoming critical. One of the most common cryptographic approaches is the elliptic curve cryptosystem. However, in elliptic curve arithmetic, the scalar point multiplication is the most expensive compared to the others. In this paper, we analyze the efficiency of the scalar multiplication on elliptic curves comparing Affine, Projective, Jacobian, Jacobi-Chudnovsky, and Modified Jacobian representations of an elliptic curve. For each coordinate system, we compare Fast exponentiation, Nonadjacent form (NAF), and Window methods. We show that the Window method is the best providing lower execution time on considered coordinate systems.
GRANT COMPETITION OF THE MAYOR OF MOSCOW AS AN INDICATOR OF PROJECT APPROACH OWNERSHIP IN 2020

The purpose of this study is to identify the most typical systemically significant errors in the preparation of competitive projects that prevent socially oriented non-profit organizations from receiving grant support that implement pedagogical projects in conjunction with educational institutions. The methodological basis of the work is built on the basis of a combination of case study elements, included observation and expert interviews. The empirical foundation of the study was based on the experience of processing applications within the framework of the grant competition of the Mayor of Moscow in 2020. The author comes to the conclusion that most often the reason for refusal to satisfy applications is the lack of a logical relationship between the goal and objectives of the projects, the inability of the potential grantee to prove the relevance of the stated problem for a specific territory, the lack of justification for some of the items of expenditure, and quantitative indicators reflecting the degree of achievement of the planned results.
Distributed semantics in a neural network model of human speech recognition

Author(s): Brown, Kevin; Monto, Nicholas R; Rueckl, Jay; Magnuson, James | Abstract: While there are interesting correspondences between form and meaning in many languages, psycholinguists conventionally consider them to be marginal, as they affect only a small subset of words. As such, a common simplification in computational models is to use empirically- or theoretically-motivated representations for form and random vectors for semantics. We recently introduced a novel model of human speech recognition, EARSHOT, which maps spectral slices (form) to pseudo-semantic patterns (sparse random vectors [SRVs]). Here, we replace SRVs with SkipGram vectors. Empirically-based semantics allow the model to learn more quickly and, surprisingly, exhibit more realistic form competition effects. These improved form competition effects do not depend on the particular form-to-meaning mapping in the training lexicon; rather, they arise as a result of the nontrivial output structure. These results suggest that while form-meaning mappings may be mainly arbitrary, realistic semantics afford important computational qualities that promote better fits to human behavior.
Research on the Industry-education Integration Model in Private Colleges and Universities in the Guangdong-Hong Kong-Macao Greater Bay Area——Take the Training of English Professionals in GDUFS South China Business College as an Example

Based on the background of the integration of industry and education and the teaching practice of applied undergraduate colleges in collaborative education, this article discusses the effects achieved by GDUFS South China Business College (SCBC) under the integration of industry and education and the teaching problems solved. Continuous efforts have been made in optimizing the professional structure, accelerating the construction of new liberal arts, and serving the development of the Guangdong-Hong Kong-Macao Greater Bay Area to help students grow into professionals in many ways.
CREDIT CARD FRAUD DETECTION AND ANALYSIS USING MACHINE LEARNING ALGORITHMS

Increase in the number of customers since last decade for credit card usage. The customer’s without prior approval many frauds have been detected. The unethical use of credit cards by hackers or credit cards users unwilling to pay back the amount are known as the major credit card frauds. The credit card transactions should be detected earlier by statistical methods if any fraud has been detected. The various algorithms in the machine learning are used to analyze the patterns and frauds. This helps the bank to eliminate the frauds by declining suspected transactions.
PEDAGOGICAL CREATIVITY AS A FACTOR OF STUDENT DEVELOPMENT

The article describes the importance of developing creative abilities in education based on interactive methods and modern pedagogical technologies. The main focus of the Bund is on improving the criteria and rules for determining the development of creative abilities of teachers on the basis of a competence-based approach. With the help of interactive teaching methods and technologies, it is aimed at improving the integrated methodological system for the development of students ' creative abilities, determining the level of development of creative abilities and providing scientifically based recommendations on the topic.
Web Pages Ranking Algorithms: A Survey

Due to the daily expansion of the web, the amount of information has increased significantly. Thus, the need for retrieving relevant information has also increased. In order to explore the internet, users depend on various search engines. Search engines face a significant challenge in returning the most relevant results for a user's query. The search engine's performance is determined by the algorithm used to rank web pages, which prioritizes the pages with the most relevancy to appear at the top of the result page. In this paper, various web page ranking algorithms such as Page Rank, Time Rank, EigenRumor, Distance Rank, SimRank, etc. are analyzed and compared based on some parameters, including the mining technique to which the algorithm belongs (for instance, Web Content Mining, Web Structure Mining, and Web Usage Mining), the methodology used for ranking web pages, time complexity (amount of time to run an algorithm), input parameters (parameters utilized in the ranking process such as InLink, OutLink, Tag name, Keyword, etc.), and the result relevancy to the user query.
Feature Selection for Performance Prediction using Decision Tree

With the proliferation of digitalization from past decades, there has been exponential growth in data.The data is considered as the new oil.Useful insights can be extracted from the data and can be used for the growth of industry or organization, the branch of computer science that deals with the discovery of novel information and insightful pattern from the raw data is called Data Mining, it is used almost in every field from banking, healthcare to entertainment and surveillance.Here, specifically, the paper discusses about the data mining used in the field of education called Educational Data Mining (EDM), it is an inchoate data mining research area that aims to improve the students' performance, provide quality education, helps students to determine career choices, etc.This research paper aims to describe feature selection criterion and how combination of features like internal marks, mid-semester marks, etc. helps in determining students' performance using decision tree classification method.The results obtain can be used by instructors and teachers to plan structured approaches for the students performing low in their academics, need attention and counseling from their tutor guardians.Thus, with early prediction action can be taken within time to improve the result of students and the overall performance of an institution.