Reviewerly/exHarmony huggingface dataset:
Development of dementia care training system combining augmented reality and distributed tactile sensor

This study develops a training system for a multimodal comprehensive care methodology for dementia patients called Humanitude. Humanitude has attracted much attention as a gentle and effective care technique. It consists of four main techniques, including eye contact, verbal communication, touch, and standing, with more than 150 care elements. Learning to practice Humanitude thus requires considerable time. To provide an effective training system for Humanitude, we develop a HumanitudE AR Training System (HEARTS) realizing simultaneous sensing and interaction by combining a real training entity and augmented reality technology. This paper presents a new version of HEARTS named HEARTS 2 consisting of HoloLens 2, a soft doll, and a full-body wearable tactile sensor.
Development of camouflage robot exploiting ubiquitous objects in the environment

To closely monitor living things, it is expected to camouflage and fade the robot into the environment to. To address we focused on giving invisibility by hiding in the environment, rather than mimicry that depends on visibility by changing the color and shape. Therefore, we have developed a camouflage underwater robot that hides itself by utilizing things that are ubiquitous in the environment by the softness of its own body with soft materials. The method is to make the sand soar by generating negative pressure and waves with the softness of the body. Then cover the sand with the sand to camouflage. By giving a phase difference to the movement of the fins, it is found that negative pressure and waves are more likely to occur, improving the efficiency of camouflage.
Developing practical digital e-learning tools in times of Covid-19: The experience of our Pathology department (Preprint)

<sec> <title>BACKGROUND</title> E-learning is the use of Internet technologies to enhance knowledge and performance. Due to the education disruption caused by the spread of the Coronavirus disease 2019 (COVID 19), our aim was developing digital tools representing practical educational documents answering the questions asked by pathologists in training in front of important and complicated situations faced in the daily practice, thus enabling particularly pathologists in training, medical students and doctors in general, to better understand the diagnostic process by developing simplified decision algorithms while ensuring the management of small and precious samples, and therefore the relevance of treatment options and patient management. </sec> <sec> <title>OBJECTIVE</title> In our Pathology department, we have started utilizing this didactic method of learning way before COVID-19 pandemic, by developing digital tools, allowing medical students and residents in training to learn at their own pace. We believe a hybrid model of education has significant benefits, as traditional offline learning and e-learning are complementary. </sec> <sec> <title>METHODS</title> Self- training kits were designed to provide practical educational tools that offer a clear and rational approach for residents in training to face challenges in their daily practice, by using numorous diagnosis algorithms, this enables them to better understand the diagnostic process. The project was planned in multiple phases; it has two main components, a medical component that comprises the scientific content and the informatic one that allows the user to access the final version. </sec> <sec> <title>RESULTS</title> The digital tools contain definitions and general recent information on the subject selected, clinical, biological and radiological study to help managing pathological cases in a multidisciplinary approach, and most importantly, a detailed histopathological chapter, rich in simplified decision algorithms, tables and illustrative practical clinical cases. A final chapter is dedicated to the evaluation which aims to identify the specific needs of each user. Once inserted, users browse the kit’s content and clicks on the file "index.html" to find the different sections on the horizontal menu bar. </sec> <sec> <title>CONCLUSIONS</title> Self-training kits help controlling the pace and sequence of instruction and make personally meaningful choices which should help residents in training to understand and orient towards a pertinent diagnosis in order to improve the management of small and precious samples, and therefore the relevance of treatment options and patient management. </sec>
The Long String Instrument

The standard string instruments derive their sound from the transverse vibrations of the strings. In these strings, the predominant vibrational movement, the one which produces most of the sound, is that of the string moving back and forth in a direction perpendicular to its length. But transverse vibration is not the only dance that strings can do: there are other modes of vibration, most notably the longitudinal. With her Long String Instrument, Ellen Fullman has created a working longitudinal vibration string instrument. Fullman has since discovered that the job can be done more effectively by a ratcheted infinitely-turning winder, a device made in Belgium and used by European farmers for stringing fence wire. Fullman, with input from others, is currently redesigning the soundbox that supports the soundboard. Fullman has evolved a tuning system designed to fit the form of the instrument and its playing technique, and which feeds directly into her processes of composition and improvisation.
Chinese High People’s Court ruling sheds light on the protection of non-conventional works

Abstract Case Number 1037 of the High People’s Court of Shaanxi Province, People’s Republic of China (2020/ Shaan Min Zhong 1037), 1 November 2021 In a high-profile case involving copyright protection of a non-conventional work of culinary presentation, the appellate court, the High People’s Court of Shaanxi Province, found a culinary presentation eligible for copyright protection. Although the disputed culinary presentation Feizixiao (fair mistress’s smile) failed to meet the threshold for copyright protection as a work of fine arts, the court agreed to grant protection against unfair competition.
The National COVID Cohort Collaborative: Analyses of Original and Computationally Derived Electronic Health Record Data (Preprint)

<sec> <title>BACKGROUND</title> Computationally derived (“synthetic”) data can enable the creation and analysis of clinical, laboratory, and diagnostic data as if they were the original electronic health record data. Synthetic data can support data sharing to answer critical research questions to address the COVID-19 pandemic. </sec> <sec> <title>OBJECTIVE</title> We aim to compare the results from analyses of synthetic data to those from original data and assess the strengths and limitations of leveraging computationally derived data for research purposes. </sec> <sec> <title>METHODS</title> We used the National COVID Cohort Collaborative’s instance of MDClone, a big data platform with data-synthesizing capabilities (MDClone Ltd). We downloaded electronic health record data from 34 National COVID Cohort Collaborative institutional partners and tested three use cases, including (1) exploring the distributions of key features of the COVID-19–positive cohort; (2) training and testing predictive models for assessing the risk of admission among these patients; and (3) determining geospatial and temporal COVID-19–related measures and outcomes, and constructing their epidemic curves. We compared the results from synthetic data to those from original data using traditional statistics, machine learning approaches, and temporal and spatial representations of the data. </sec> <sec> <title>RESULTS</title> For each use case, the results of the synthetic data analyses successfully mimicked those of the original data such that the distributions of the data were similar and the predictive models demonstrated comparable performance. Although the synthetic and original data yielded overall nearly the same results, there were exceptions that included an odds ratio on either side of the null in multivariable analyses (0.97 vs 1.01) and differences in the magnitude of epidemic curves constructed for zip codes with low population counts. </sec> <sec> <title>CONCLUSIONS</title> This paper presents the results of each use case and outlines key considerations for the use of synthetic data, examining their role in collaborative research for faster insights. </sec>
BEAM or MFA I inspired Nv Neurons using op amps for line and line based polygon detection.

Abstract: Tensor network topologies for function, first class or MFA I as BEAM circuits are described within the framework of complexity theory using Lie Computability definitions. An example of the design of opamp based Nv Neurons for the perception of shape from line detection Nv neurons is described, with circuits that detect number of lines and concavity and closure of lines in a finite region of interest. The possible role of BEAM robotics in 3R’s is described in nature inspired intent transcription, in multi -functionality and functionality driven evolution and transcription. Keywords: BEAM, MFA I, MFA II, Lie Computability, op amp circuits, Nv Neurons, Two Port Systems, large signal analysis, feedback principles, solitons, neuro-modulation. What: Nv Neurons are built from opamp based circuits, for line detection using an array or grid of inexpensive photo detectors, using an opamp based positive feedback loop and negative feedback loops for synergy principles. Story: The author first worked on this problem in his undergraduate senior year, when his advisor advised a bottom-up approach to BEAM based machine vision, biomimetics in synthetic neurons from discrete components and opamps. The problem was to differentiate a simple polygonal shape from the background. How: A simple polygon is found in traffic sign posts , creating the need for a hard wired circuit to recognize an octahedral stop sign and several triangular signs. We use line decomposition with a circuitry to compose the lines into polyhedral shapes.(Bheemaiah, n.d.) Why: BEAM is functional art, and forms the predecessor to MFA II or completely multi functional architecture of a broad umbrella of value addition in multi functionality, functoid and HOF based algebraic frameworks for MaC based definitions of architecture and design in code.(Autores and International Workshop on Higher-Order Algebra, Logic and Term Rewriting 1994; Kirchner and Wechler 1990; Dowek et al. 1996)
Continuous Well-Composedness Implies Digital Well-Composedness in n-D

In this paper, we prove that when a n-D cubical set is continuously well-composed (CWC), that is, when the boundary of its continuous analog is a topological $$(n-1)$$ -manifold, then it is digitally well-composed (DWC), which means that it does not contain any critical configuration. We prove this result thanks to local homology. This paper is the sequel of a previous paper where we proved that DWCness does not imply CWCness in 4D.
Hypozonal gold mineralization in shear zone-hosted deposits driven by fault valve action and fluid mixing: the Nalunaq deposit, Greenland

Abstract The Nalunaq deposit, Greenland, is a hypozonal, shear zone-hosted, Au deposit. The shear zone has previously been interpreted as having undergone four stages of deformation, accompanied by fluid flow and vein formation. Coupled with previous trapping T estimates, fluid inclusion data are consistent with the trapping of fluids with salinities between 28 and 45 wt% NaCl equiv., from 300 to 475°C during D 2 and D 3 , with pressure varying between c. 800 and 100 MPa. The range reflects pressure cycling during seismic slip-related depressurization events. D 4 fluids were lower salinity and trapped from 200 to 300°C, at c. 50–200 MPa during late-stage normal faulting. The variation in major element chemistry is consistent with the ingress of hypersaline, granitoid equilibrated fluids into the shear zone system and mixing with fluids that had reacted with the host metamorphic rocks. D 4 -stage fluids represent the ingress of meteoric fluids into the system. Gold contents in inclusion fluids range from c. 300 to 10 mg kg −1 . These data are consistent with the high- P–T solubility of Au as AuHS(H 2 S) 3 0 complexes, and Au deposition by decompression and cooling. The high salinities also suggest Au transport as chloride complexes may have been possible. Gold distribution was modified by the release of chemically bound or nanoscale Au during sulfide oxidation at the D 4 stage.
Design and experimental evaluation of Unknown-Input-Estimator using existing state observer

We attempt to make use of the Unknown-Input-Estimator (UIE) proposed by Tang et al. by utilizing an existing state observer. In the original UIE, a state obesrver exists in the structure. However, if a control system where the UIE is utilized is designed on the basis of the the state feedback, a state observer is inherently included, which seems to be redundant. Here, we examine whether the state observer in the UIE can be removed and plant states estimated by the state observer in the control system can be utilized for the computation in the UIE. The experimental results show that the state observer in the control system can be substituted for that in the UIE.
PROGRAM APLIKASI PENGELOLAAN KAS MENGGUNAKAN MICROSOFT VISUAL BASIC 2015 PADA MASJID AL JIHAD BANJARMASIN

Research purposes. This study aims to determine the proper cash management at Al Jihad Mosque, and to produce a computer-based Cash Management Application Program using Microsoft Visual Basic 2015 as the Front End, and Sql Server 2014 as a back end at the Al Jihad Mosque in Banjarmasin. Theoretical thinking framework. In this study the theoretical framework is analyzing the cash management that runs on the Al Jihad Mosque in Banjarmasin, by analyzing the information needed by management, related functions, accounting documents and records used, and flowcharts. The application program that was developed in the first step was carried out with relations between tables, designing interfaces, and designing outputs. Research result. The results of this study concluded that all cash records are semi-computerized. However, the author recommends using Microsoft Visual Basic 2015 as a Front End, and Sql Server 2014 as a back end so that it can help Al Jihad Mosque to record cash receipts and disbursements quickly and precisely.
Can digital health support COVID-19 contact tracing? A scoping review (Preprint)

<sec> <title>BACKGROUND</title> The coronavirus disease 2019 (COVID-19) has impacted every country globally, infecting almost 7 million people. The respiratory disease is spread through oral and nasal droplets and fomites (surface contact). Preventative measures to slow the transmission includes social distancing, wearing masks, and hygiene practices. Contact tracing has been identified as an essential preventative measure in the management of COVID-19. Digital health solutions are being used in the management and prevention of COVID-19. </sec> <sec> <title>OBJECTIVE</title> The aim of the scoping review is to: (1) identify the types of digital health solutions used for COVID-19 contact tracing (2) assessing the impact of the solution and (3) determining the research and innovation gaps. </sec> <sec> <title>METHODS</title> This review utilized scoping review methodologies to effectively, efficiently, and rapidly gather evidence related to COVID-19, contact tracing and digital health. The framework to evaluate the evidence consisted of five stages. A search strategy was developed, and relevant articles was retrieved from PubMed, EBSCO and Web of Science. Articles was screened for eligibility using the research question as a guide. </sec> <sec> <title>RESULTS</title> A total of 33 was found from the various databases, 16 duplicates was removed. The title and abstract of 17 articles was screened, 3 articles was removed. The full-text articles were screened, and 9 articles was excluded as they did not include any data as they were presented in the form of editorials, commentary or viewpoints. The results highlighted the use of digital technology to aid in contact tracing. The primary focus of the applications was finding the geographical location of the contacts. </sec> <sec> <title>CONCLUSIONS</title> Although the COVID-19 pandemic is a recent ongoing event, the limited articles published provides key information to strengthen future digital health contact tracing initiatives. The readiness checklist could assist with the current and future contact tracing initiatives. </sec>
Method of syntactic-semantik analysis of unstructured texts

The methodology of computer linguistic analysis of unstructured text information is considered. The basic provisions of various approaches to the automation of automatic processing of unstructured texts in computer systems are presented. A formalized description of the method of syntactic-semantic computer analysis of texts is given.
Web-based public complaints information system for Subang City

The media currently limit public complaints, and some people find it difficult to convey or report events in the area. Complaints are still not fully using information technology media. This makes it difficult for the public to provide suggestions or submit complaints. The authors developed an information system for the public complaint process using the waterfall method from these problems. This system aims to create a Jatibaru village website and create a complaint website for the community so that complaints in the community can be conveyed properly through the complaints website. The public can review the complaints to determine whether the complaints have been processed or not. System development using the PHP and HTML programming languages. The final result of this study resulted in a public complaint information system so that the aspirations of the community were properly conveyed to the village government, all complaints would be discussed by the village apparatus to minimize complaints from the community, and with this system, it can also help monitor complaints submitted by the community.
Defining the Informed User When Assessing the Scope of Design Rights

Galexia Elegance
Positive Psychotherapy as a Means of Research and Development of Emotional Intelligence in the Course of Individual’s Life Fulfillment

The purpose of this article is to present a psychological hermeneutic triangulation model of emotional intelligence in the course of individual’s life fulfillment. In this context, the methodological framework and psychotechnical tools of positive psychotherapy contribute to the explication of the axiological potential of the emotional intelligence in three modes of realization: internal, external and integrative through the bodily sensation and emotional competence and understanding, interpretation and hermeneutic circle mechanisms. Application of positive psychotherapy at the empirical stage of the study has resulted in a training program for the development of emotional intelligence in the areas of individual’s life fulfillment relevant for the participants, as well as through individual consultations. The article presents evidence of the effectiveness of a prolonged formative experiment on the development of emotional intelligence by means of positive psychotherapy, which helped verify the author’s theoretical model. Keywords: emotional intelligence, positive psychotherapy, training, bodily sensation, emotional competence, mode of individual’s life fulfillment
Usefulness of Background Removal for Video Anomaly Detection Using Generative Adversarial Networks

Research on anomaly detection has been conducted to capture anomalies in various situations in daily life. In this study, we aim to build a more accurate anomaly detection system that can detect people and cars behaving abnormally in the video. The background information is considered to be unnecessary for anomaly detection. Therefore, we propose a method to multiply the difference between the generated image and the true value of the optical flow by the image with background removal. We confirm that detection results with high accuracy are produced compared with the conventional method.
Maintaining App and Website Compatibility

Having a stable, reliable, and robust PC, with a good network and Internet connection that’s fully updated and configured as you need it, isn’t going to help you much if you can’t use the apps or access the websites or intranet sites that you need. Apps are everything. From the smallest utility that sits in your system tray to a major suite such as Adobe Creative Cloud, or a custom app that was written specifically for your business, if you can’t use the apps you need, you can’t get anything done at all.
THE PROBLEMS OF EDUCATION AND SOCIALIZATION OF LEARNING YOUTH IN THE CONDITIONS OF THE CORONAVIRUS PANDEMIC

The article discusses the issue of the impact of the coronavirus pandemic on the choice of methods and forms of educational activities and socialization of young people in the current difficult situation of society development, the issue of the peculiarities of the formation in these conditions of a new type of culture - digital culture and the need to develop new scientifically based approaches to modernizing the education system in accordance with the risks and challenges of our time, as well as the implementation of communication practices in the context of the requirements of the epidemiological situation in the world. When carrying out the research, the following scientific methods of cognition were used: the method of comparative analysis, which made it possible to identify the advantages and disadvantages of the distant form of education in the context of the coronavirus pandemic; the method of quantitative analysis, allowed the authors of the article to better orient themselves in the general pile of facts, as well as to model the existing social processes in the field of education and society as a whole during the coronavirus pandemic; the use of the systemic method in the study of the subject of research made it possible to single out the determining factors influencing the reproduction of social experience in order to streamline and stabilize the spiritual and moral foundations, communication processes as the most important condition for the socialization of the individual; the formal legal method was used in the study of various legal documents; content analysis was used to study a set of statements on a specific topic.
Implicit Neural Network for Implicit Data Regression Problems

Artificial neural network (ANN) is one of the most common methods for data regression. However, existing ANN based methods focus on fitting data with explicit relationships, where the output y can be explicitly expressed by the inputs x in the form of \(y = f(x)\). In contrast, implicit relationships (i.e., \(f(x,y)=0\)) are more expressive in that they can concisely present complex closed surfaces and mathematical functions with multiple outputs. However, so far, little effort has been made on applying ANN to fit data with implicit relationships of variables. In this paper, for the first time, we propose an implicit neural network (INN) for implicit data regression. In this framework, an evolutionary implicit neural network (EINN) module is proposed, which is trained by the regression data to capture the implicit relationships among variables. Then, an explicit-implicit cooperate (EIC) mechanism is proposed based on the EINN component to train an explicit ANN model to predict the outputs of new unseen inputs. The proposed framework is tested on eight benchmark problems and the experimental results have demonstrated the efficacy of the proposed method.