Reviewerly/exHarmony huggingface dataset:
Using a Sensory-Based Approach to Environmental Assessment for Community-Dwelling Older Adults With Mild Cognitive Impairment or Dementia

Abstract Date Presented Accepted for AOTA INSPIRE 2021 but unable to be presented due to online event limitations. Community-dwelling adults with mild cognitive impairment or dementia participated in this mixed-methods study. Assessment of sensory processing and observations of environmental factors were conducted. Results describe adaptations between the person and their environment in terms of sensory processing patterns. Implications highlight opportunities for OTs to assess and intervene in environmental adaptation using a sensory-based approach. Primary Author and Speaker: Elizabeth Rhodus Additional Authors and Speakers: Elizabeth G. Hunter Contributing Authors: Graham Rowles, Shoshana Bardach, Gregory Jicha
Analisis kesalahan berbahasa tataran ejaan pada majalah Mulia edisi April 2020

This study aims to describe the form of the error-speaking state of spelling in the writing of magazine Mulia edition April 2020 which include: (1) errors in the use of letters; (2) the error of writing the word; (3) errors in the use of punctuation; (4) error writing element uptake; and (5) the use of the word is not raw. The object of this writing is the words, phrases, and sentences. this research is a descriptive qualitative research. Data collection techniques used in this research is documentation study. The results of the discussion showed that the overall number of the word containing the error-speaking state of spelling in the writing of magazine Mulia edition April 2020; 33 the error with the details of the 5 errors in the use of letters, 11 error writing the words, 1 usage errors punctuation, 1 error writing element uptake, 15 the use of the word is not raw.
Design and Implementation of Human Computer Interaction Platform for Online Ideological and Political Education under The Background of Mobile Learning

To make human-computer interaction technology get better interactive experience in e-learning, this paper designs a mobile teaching interactive platform for ideological and political education courses. In order to realize the classroom like course, we use teaching interaction, resource sharing, real-time communication and other modules to show more interactive choices. The key technologies of whiteboard and projection interaction design, screen sharing are also used to solve the problem of graphic logic which is difficult to be communicated. Finally, the mobile end of interactive teaching system based on Android operating system is implemented, and the function and performance of the system are tested. The test results show that the system can meet the needs of mobile online teaching of network ideological and political education, optimize the transmission quality and platform architecture of network teaching, and provide better use experience for teachers and students.
A contaminação dos profissionais de enfermagem ao COVID-19 como acidente de trabalho: Revisão integrativa de literatura / Contamination of nursing professionals to COVID-19 as a work accident: Integrative review of Literature

Introduction: In March 2020, the World Health Organization (WHO) characterized the global outbreak of the disease caused by the new corona virus known as COVID-19 as a pandemic state, which led health services to a new scenario of health and security aimed at the various professionals involved in the care of the population.Objectives: To analyze through the literature the main precautions to avoid contamination of health professionals by COVID-19.To identify, through the literature, the consequences of the contamination of COVID-19 in health and nursing professionals who work on the front lines.Methodology: This is an integrative literature review.For the construction of this review, the following steps were outlined: definition of the guiding question (problem) and research objectives; establishment of inclusion and exclusion criteria for publications (sample selection); literature search; analysis and categorization of studies, presentation and discussion of results.Results and Discussion: The articles selected to compose the research results are presented through the table that aims to highlight the database where the 12 articles selected for the preparation of results and discussion were found.Two thematic categories were created to respond to the research objectives: The risk of infection in care and in de-paramentation; Preventive strategies for health professionals facing COVID-19.Conclusion: Given this pandemic scenario, strategies to minimize the damage caused to health professionals who work on the front lines are essential.In addition, the proper preparation of these professionals with training and the adequate supply of PPE is essential to avoid contamination.
On the Reform of Computer Education Based on the Network Teaching Mode

computer network is closely related to our life. Our life, work and study can not be separated from the use of computers. Computers have greatly changed our past lives. Especially in education, it is more inseparable from the use of computers. With the computer reform, the traditional education mode has been changed, and the teaching is carried out by the method of network teaching. The new teaching mode is in line with the development of society and education industry, and the teaching cost can be reduced. Find abundant teaching resources on the network to expand students' knowledge and improve teaching level and teaching quality.
Nonlinear prediction via Hermite transformation

General prediction formulas involving Hermite polynomials are developed for time series expressed as a transformation of a Gaussian process. The prediction gains over linear predictors are examined numerically, demonstrating the improvement of nonlinear prediction.
New Rectangle Attack Against SKINNY Block Cipher

The issue of security and privacy plays an important role in the wireless networks and directly affects the wide application of wireless network systems. In order to protect the confidentiality of data for wireless networks, especially for the wireless sensor networks, a series of lightweight ciphers have been proposed in recent years. SKINNY, a family of lightweight block cipher, is designed in such scenario with competitive performance and security guarantees. SKINNY-128-256 is a widely used version as underlying primitive in NIST’s Lightweight Cryptography (LWC) project. In this paper, we consider the security of SKINNY-128-256 under related-tweakey rectangle attack. Based on an 18-round related-tweakey boomerang distinguisher composed of two 9-round differential characteristics, a 23-round related-tweakey rectangle attack is proposed by expanding forward for 3-round and extending backwards for 2-round. Our attack utilize the incompleted diffusion property of MixColumns operation of SKINNY to reduce the times of exhaustive key search. To the best of our knowledge, this attack efficiently reduces the costs compared to the currently known attacks on 23-round SKINNY-128-256, especially the data complexity is considerably less than the existing results.
Add Features Using Wrappers

An alternative to inheritance is composition. It is quite common in programming and often gives you a better payoff. This chapter shows you a useful case study on this topic using some wrappers.
Very-fast photon sources and detectors

Most quantum experiments are based on repeated “trials”. We present a roadmap based on integrated photonics for “very fast” sources and detectors to achieve a large improvement in the speed at which such trials can be performed.
Construction of RISC-V Lightweight Trusted Execution Environment Based on Hardware Extension

The trusted execution environment (TEE) can prevent malicious programs from accessing the sensitive memory of application software, thereby ensuring the security of terminal devices in the process of collecting and transmitting data in the Internet of Things (IoT). The RISC-V architecture provides hardware support for the construction of a TEE, however, terminal devices based on RISC-V CPU face security challenges. Based on the mechanism of RISC-V hardware extension, this paper constructs a lightweight TEE scheme, which makes the trusted operating system kernel and embedded real-time operating system kernel run in the Machine (M) mode of higher CPU privilege in an isolated manner, and the application program runs in the User (U) mode, so the security operation of the terminal device in the IoT is ensured. In addition, an interrupt handling process for this scheme is also designed. This solution can be used as a reference design for a lightweight TEE for embedded systems whose CPU is based on RISC-V but only have M/U modes.
FACTORS INFLUENCING STUDENT SATISFACTION WITH THE VIRTUAL ENTREPRENEURSHIP MODALITY AT A PRIVATE UNIVERSITY IN LIMA

The purpose of this research work is to know the influence of the virtual technological environment implemented in a private university in Lima in relation to student satisfaction and how they meet the requirements accepted by traditional education. The evaluation was carried out in a correlational explanatory way developed with a sample of 153 students of the Business career randomly selected in the courses of Statistics and Computer Tools in the virtual modality of a private university in Lima, to whom the Distance Learning Environment Survey (DELES) was applied, supported by a referential study carried out in 2003. This study has shown that most of the students are satisfied with the teaching methodology in the virtual modality and the knowledge developed has been more applicable than in traditional education. Consequently, it can be affirmed that there is a direct relationship between the degree of influence of the factors of the virtual environment and student satisfaction, culminating in the importance and approval of the student. This result is based on constructivist theory.
Using Visual Memory Schemas for Modulation of Image Memorability

Image memorability can be defined as a combination of intrinsic characteristics of the image itself and the degree of its correspondence to the human observer’s knowledge structure of the world. Understanding and extracting the image features that contribute to memorability is still a challenge. Advances in computational techniques have allowed for interpreting what makes an image memorable, in addition to predicting the memorability of a given image. Visual memory schemas (VMS) are one such operationalization that defines image memorability as two-dimensional memorability maps that capture the most memorable regions of the scene, predicting with a high degree of consistency human observer’s memory for the same images. These maps correlate with mental schemas employed by humans to encode visual memories. Here we ask whether it is possible not only to predict but also modulate human memory with artificially generated images. We developed a computational approach based on deep learning models for estimating and enforcing the VMS maps when generating realistic high-resolution images. The generated images are high and low memorability pairs of images, where the only difference between images is a variation in the continuum of VMS-defined memorability. We then conducted a recognition memory experiment, where human observers are shown sequences of artificially generated images and are asked to indicate if they have seen a given image before. The observers show a significantly superior memory for the highly memorable images compared to poorly memorable images, for VMS-defined memorability and hit rate. Raising memorability of an image also increased the chance of it being falsely remembered, mirroring findings from visual memory schema experiments that employ real images. Implementing and testing a construct from cognitive science allows us to generate realistic images whose memorability we can manipulate at will as well as providing a tool for further study of mental schemas in humans.
Literature Review in Preparation for Professional Life of the People with Developmental Disability

In terms of academic understanding to support the professional life and independent life of the developmentally disabled people, this study is aimed to answer the following research questions.First, what is the concept of developmental disability?Second, why is the professional life necessary for the developmentally disabled person?Third, what is the independent living support model for people with developmental disabilities?This study focused on domestic and foreign literature and related reports on the professional life of persons with developmental disabilities.In detail, the research purpose was achieved by dividing the thesis into degree claim thesis, other research thesis, and policy report by the researcher to read, organize and analyze the contents.The main findings of this study and implications are : First, developmental disabilities are those who have neurological conditions closely related to intellectual disabilities such as intellectual disability, cerebral palsy, epilepsy, autistic disabilities, learning disabilities, or have problems that require education and training similar to those required for intellectual disabilities.Second, for people with developmental disabilities, the meaning of professional life is meaningful as a means to lead an independent life in society or as a means of expressing the value of one's existence.Third, in order to understand the professional life of workers with developmental disabilities, it is necessary to understand the background of the emergence of the social model and the independent living support model.The interest of social model is not to make the problem of the social system that alienated the disabled from the main environment.
Quantifying Software Quality in Agile Development Environment

Due to required efforts and the challenges involved in understanding the quantification of software quality, researchers have chosen varying quality attributes to describe the quantification of software quality.The degree of software quality is achieved from the standards and quality attributes at each development process: the adherence of software engineering principles towards realizing a product of good quality.In agile environment, the software engineering process ensures that qualities of interest are built-in and to produce software product with an acceptable level of quality.Thus, this study is aimed at quantifying six related software quality attributes.The specific objectives include identifying the software quality attributes, the design of the algorithm for measurement metrics, and to perform relational analytics of each attribute with respect to the software quality.The methodology followed an exploratory evaluation of measurement and metrics and their role in quantifying software quality in agile development environment.The study adopted existing metrics to quantify software quality attributes.Twelve opensource software projects were tested for 6 specific quality attributes and each result is quantified and presented.Results show that software number 2 (SW2) has a maintainability value of 6 minutes, 50% availability, and 0.62 reliability values.It implies that a high value of maintainability does not translate to high reliability.These values establish the relationship between attributes and enhances developers and users' understanding of the software quality and its attributes.
High-Resolution Eye-Tracking during Natural Real-World Interaction

Humans exhibit surprisingly fine control of their eye movements. Numerous recent studies, drawing from a range of visual tasks, have revealed oculomotor precision far superior to what previously assumed (e.g., Intoy & Rucci, Nature Communications, 2020). Because of technical challenges, reliable high-precision measurements have traditionally required strict head immobilization. During natural viewing, however, eye movements co-occur with head movements and both contribute to shape the luminance stream entering the eyes. The need, therefore, emerges for extending high-resolution oculomotor measurements to normal head-free viewing. A well-known exception to the head-immobilization requirement is provided by the seminal work by Steinman and colleagues, who developed a coil-based approach (Revolving Field Monitor; Steinman, 1995) to precisely record eye movements while the head is free to move normally. Building on this pioneering work, here we present a system that integrates a custom scleral coil eye-tracker with a motion capture system to simultaneously track eyes, head, and hand movements with high-precision. Eye-tracking is achieved by means of three, orthogonal, oscillating, magnetic fields, which are continuously tuned to maintain high uniformity in the central 1 m3 region. Voltages induced by the field are collected by coils embedded in silicon annuli placed on the observer’s sclera and on a tightly fitting helmet. A passive motion-capture system, selected to minimally interfere with the magnetic fields, tracks head translations, hand movements, and all rigid objects involved in experiments. The integration of these two systems enables precise localization of the line of sight in the scene and reconstruction of the visual input to the retina. We report measurements of head and eye movements with arc-minute resolution in a variety of everyday tasks such as needle threading, sorting small objects, and reading fine print. Our results confirm a remarkably fine degree of oculomotor control as the observer interacts normally with the scene.
Big Data Modeling of Multi-interval Nested Correlation Function for Industrial Structure Optimization in Hainan

Big data is a concept driven by demand. With the popularity of the database system and the expansion of Internet services, the data available to enterprises or individuals are expanding, and it is highly difficult to meet the data analysis needs with the existing technologies in the big data era. Therefore, it is necessary to explore new theories and methods to support the application of multi-interval nested correlation function big data. Although the 4V attribute of the big data modeling of multi-interval nested correlation function for industrial structure optimization in Hainan (ISOH) has been widely discussed, most of them are still described as the representation of multi-interval nested correlation function big data. Hence, it is very difficult to abstract a unified data format, and it is necessary to further identify the technical features that can be used for data formatting. For the big data application demand of multi-interval nested correlation function with the industrial structure optimization as the main technical feature, the industrial structure optimization in Hainan is adopted as the data expression carrier in the pape. On this basis, the corresponding multi-interval nested correlation function big data classification model and mining operator are designed. At the same time, the algorithm corresponding to the key steps is constructed for the key problems to be solved in the classification mining of multi-interval nested correlation function big data. The rationality of the micro-cluster merging technology and sample data reconstruction method provided in the paper is verified theoretically. The experiments show that the big data algorithm of multi-interval nested correlation function based on the industrial structure optimization in Hainan put forward in this paper can not only greatly reduce the communication cost between network nodes but also achieve an average improvement of about 10% in global mining precision (compared to the existing typical algorithm DS-means). Although the time spent is slightly higher than DS-means, the difference between them is minimal under different data capacity tests, and the trend of time rising is similar.
Report of a Presentation by Piero Attanasio, “Metadata Management in the Book Supply Chain” <i>International Conference: Bibliographic Control in the Digital Ecosystem</i>, Florence, Italy, February 9, 2021

Presenting at the International Conference for Bibliographic Control in the Digital Ecosystem held virtually in February 2021 and hosted by the Universita degli studi di Firenze with support from s...
On the Utility of Word Embeddings for Enriching OpenWordNet-PT.

The maintenance of wordnets and lexical knwoledge bases typically relies on time-consuming manual effort. In order to minimise this issue, we propose the exploitation of models of distributional semantics, namely word embeddings learned from corpora, in the automatic identification of relation instances missing in a wordnet. Analogy-solving methods are first used for learning a set of relations from analogy tests focused on each relation. Despite their low accuracy, we noted that a portion of the top-given answers are good suggestions of relation instances that could be included in the wordnet. This procedure is applied to the enrichment of OpenWordNet-PT, a public Portuguese wordnet. Relations are learned from data acquired from this resource, and illustrative examples are provided. Results are promising for accelerating the identification of missing relation instances, as we estimate that about 17% of the potential suggestions are good, a proportion that almost doubles if some are automatically invalidated.
Bitcoin won't steal gold's status as safe haven

Bitcoin won’t dethrone gold as the currency of last resort, according to Goldman Sachs Group.
Experiential Cyber Education

There is a gap between available cyber professionals with necessary skills and experience to meet industry requirements. Institutions of higher education (IHE)—as well as other programs—have begun increasing course and degree offerings to help educate, train, and even retrain working professionals to close this gap. Of growing importance are tools and techniques to supplement theoretical development with accelerated experiential cyber training. Fortunately, there has been an increase in providers offering these services, although they vary substantially in features, costs, and opportunities. The purpose of this research is to identify a current spectrum of vendors and opportunities providing hands-on cyber training. The authors of this paper include cyber faculty at a university offering undergraduate and master's cybersecurity degrees. Both degrees are offered to resident as well as online students.
Conflicts in the Information Space

This paper systematically starts from the definition of terms: information, misinformation, misinformation and intoxication. With the development of technologies, communications, new media and a number of new scientific disciplines, information
THE OXYMORICITY OF СYCLIZATION IN SONG PERFORMANCES PRESENTED ON THE MODERN THEATER STAGE

The article considers some of the song performances presented as a part of two theatrical productions on Moscow stage: Moscow’s Ermolova Theater musical performance of Dream Orchestra. Brass and stage production Boris hosted by Museum of Moscow. As it is illustrated, some of the songs in each of the stage productions are combined in a way that forms a sort of cycles. However, it is a kind of cyclization which is essentially characterized by oxymoronic nature. Namely the elements of the cyclization find themselves in confrontation with each other. Meanwhile, the paradox is that the oxymoricity highly intensifies the cyclization, for it takes part in creating a complete unity and it even works as a necessary conjunction for the cycle forming. As to meaning forming, the characteristic of artistic creation such as the oxymoricity of cyclization may work as a bright and effective way of representation on stage the versatility of human perception of reality, the complexity of human nature in its actual manifestations; also, it may help to aesthetically comprehend the difficult time, the time of transition, the time that generates abnormal life phenomena, and the time produced by the aberrant phenomena