Reviewerly/exHarmony huggingface dataset:
CovMIS - APPLICATION OF FUZZY BASED INTEGRATED APPROACH TO SUMMARIZE COVID MEDICAL INFORMATION

COVID-19 outbreak was declared as a Public Health Emergency of International Concern (PHEIC) by WHO on 30 January 2020 [1]. The outbreak of the pandemic COVID-19 has totally shattered the political, social, economic, religious, and financial structures of almost every country of the world. Maximum number of countries have shut their borders, suspended the activities in businesses and educational institutions and mandated their population to self-quarantine [3]. WHO and many other organizations and doctor/expert communities are releasing adequate information about the disease to increase awareness among the people towards the disease which includes the symptoms, tips to be followed to protect while going outside, precautions to be taken, medication, vaccination, and so on. How much information ever was released there is always a chance in getting an updated new symptom/precaution/tip about the disease to educate the people to a completely unknown disease. The pressure and anxiety due to the prevailing uncertain situations, the control on the movement of individuals suggests that it may lead to many nervous and psychiatric disorders like suicidal behavior and may have a negative impact on the individual's mental health [4, 5].In this pandemic situation reading the entire document related to the disease and understanding it completely may not be possible to all individuals. Medical document summarization techniques can be applied to get a brief but important point of the disease as a summary/overview of the disease which helps the global people to know well about the disease and cope up with the situation. In this paper, Summarization of the Covid Medical Information has been initiated and implemented. A fuzzy based integrated approach which was proposed by the authors and also it was observed to generate good quality summaries for clustered medical documents. The proposed integrated approach by the authors was followed in this paper to generate summaries for Covid Medical Information document. The generated summary was evaluated using ROUGE metric.
Analysis on adaptability and training methods of Photonic Reservoir Computing in compensating nonlinear effects

Photonic reservoir computing (RC) is proved to be an effective method to recover optical communication signal. In this paper, the adaptability and effectiveness of RC to recover signals at different transmission distances are verified by employing photonic RC model; in addition, performance of the system is investigated using three different linear regression training methods. The analysis results show that when the number of virtual nodes is more than 600, the bit-error-rate (BER) is much lower using Levenberg-Marquardt than the other two methods.
THE NON-FACE-TO-FACE MODALITY, THE ADAPTATION MECHANISMS AND THE ACHIEVEMENT OF THE GRADUATION PROFILE

With the social isolation measures due to the arrival of COVID-19, Higher Education went from the face-to-face modality to the virtual modality;it was necessary to adapt and adapt the syllabi and academic activities. The expected results allowed us to make decisions for updating the course plan;the mechanisms for non-face-to-face adaptation such as training, preparation of guides, manuals and tutorials, and the accompaniment and monitoring of teachers and students allowed the optimal development of synchronous and asynchronous activities favored the academic success and the achievement of the levels of mastery of the graduate profile of the students of the School of General Studies of the Universidad Nacional Mayor de San Marcos.
IVS3D: An Open Source Framework for Intelligent Video Sampling and Preprocessing to Facilitate 3D Reconstruction

The creation of detailed 3D models is relevant for a wide range of applications such as navigation in three-dimensional space, construction planning or disaster assessment. However, the complex processing and long execution time for detailed 3D reconstructions require the original database to be reduced in order to obtain a result in reasonable time. In this paper we therefore present our framework iVS3D for intelligent pre-processing of image sequences. Our software is able to down sample entire videos to a specific frame rate, as well as to resize and crop the individual images. Furthermore, thanks to our modular architecture, it is easy to develop and integrate plugins with additional algorithms. We provide three plugins as baseline methods that enable an intelligent selection of suitable images and can enrich them with additional information. To filter out images affected by motion blur, we developed a plugin that detects these frames and also searches the spatial neighbourhood for suitable images as replacements. The second plugin uses optical flow to detect redundant images caused by a temporarily stationary camera. In our experiments, we show how this approach leads to a more balanced image sampling if the camera speed varies, and that excluding such redundant images leads to a time saving of 8.1 % for our sequences. A third plugin makes it possible to exclude challenging image regions from the 3D reconstruction by performing semantic segmentation. As we think that the community can greatly benefit from such an approach, we will publish our framework and the developed plugins open source using the MIT licence to allow co-development and easy extension.
Interpersonal Trust Repair of the First-time TV Argument between Chinese and American Anchors Based on Appraisal Theory

The Sino-US trade war has been in complicated disturbance since 2018, including tariff war, WTO complaints, technology blockade, Sino-US negotiations and other events, which gives rise to the detrimental trust relations between both sides.Taking the TV debate between Chinese anchor Liu Xin and American anchor Trish Reagan's exclusive TV programme Trish Regan Primetime on May 30, 2019 as the corpus, the UAM Corpus Tool 3 as the marking tool and Martin's appraisal theory as the theoretical framework, this study explores the use of attitude resources, engagement resources and graduation resources through the mixed qualitative and quantitative analysis method.This study aims to help guide the public to conduct correct attribution analysis and reassess its credibility in crisis events, especially in international discourse.
LibGuides: Research Help: Interlibrary Loan

Use this guide to help you learn about research and perform research yourself for both academic and leisurely activities.
From Unequal Chance to a Coin Game Dance: Variants of Penney’s Game

Abstract We start by exploring and analyzing the various aspects of Penney’s game, examining its possible outcomes as well as its fairness (or lack thereof). In search of a fairer game, we create many variations of the original Penney’s game by altering its rules. Specifically, we introduce the Head-Start Penney’s game, the Post-a-Bobalyptic Penney’s game, the Second-Occurrence Penney’s game, the Two-Coin game, the No-Flippancy game, and the Blended game. We then analyze each of these games and the odds of winning for both players.
PEMODELAN JARINGAN WAN DENGAN TEKNOLOGI FRAME RELAY DENGAN MEMANFAATKAN SWITCH PORT SECURITY SEBAGAI SISTEM KEAMANAN JARINGAN

In sending data there are several technologies that can be used, one of which is Frame Relay. Frame Relay network can also simplify the network as well as reduce delay time to support business processes. Data transmission on a device or in a computer network is also very vulnerable to hacking so that one of the factors that affect the quality of the network is the security system, many techniques can be used to improve network security, either by using layer7 protocols, by building a firewall system or with port security. With the port security, the existing ports can be used to achieve access to the network. switch port security is a technique that will allow anyone who has the right to use network access through the ports available on the switch to obtain a LAN (Local Area Network) network.
RANCANG BANGUN SISTEM E-LEARNING BERBASIS WEB (STUDI KASUS MA AN NAWAWIYAH)

Each educational unit continues to strive for the best learning methods for their students, including MA An Nawawiyah. There needs to be an application that supports communication between students and teachers in delivering learning materials and assignments. Through the e-learning application it is felt that it will make it easier for students and teachers to continue to carry out learning activities even though it is a distance (in a network. With the Rapid Application Development (RAD) system design method, this study was made with the aim of: (1) knowing the process of e -learning at MA An Nawawiyah web-based and (2) knowing the implementation of the e-learning system design in MA An Nawawiyah web-based.
Slow Video Detection Based on Spatial-Temporal Feature Representation

As the carrier of information, digital video plays an important role in daily life. With the development of video editing tools, the authenticity of video is facing enormous challenges. As an inter-frame forgery, video speed manipulation may lead to the complete change of the video semantics. In this paper, in order to achieve effective detection for both frame sampling and frame mixing in video slow speed forgery, we proposed a spatial-temporal feature for classification. First, the periodic traces of frame difference are extracted through autocorrelation analysis, and the corresponding coefficients are used as the temporal feature. Secondly, aiming at making full use of the artifacts left in the spatial domain, and overcoming the issue of the temporal feature when the periodic traces are weak, we employ the Markov feature of the frame difference to reveal spatial traces of the forgery and utilize minimum fusion strategy to obtain the video-level spatial feature. Finally, a specific joint spatial-temporal feature is used to detect the slow speed videos through Ensemble classifier. A large number of experiments have proved the superiority of our proposed feature compared with the state-of-the-art method under two kinds of slow speed forgeries.
Pembangunan Sistem Informasi Produksi Botol Plastik pada PT. Panca Buana Abadi Padalarang

In this era, technology is no longer an important item, even very necessary to support the performance of an organization. At present without the support of information technology a company may be different to be able to develop with companies that use technology. The production process is one of the main processes in a company as well as with the company PT. Panca Buana Abadi. the development of this technology can be used for many things, one of which is to solve problems that exist in PT. Panca Buana Abadi. By implementing Supply Chain Management in an agency can accelerate information flow, increase efficiency and effectiveness, and can integrate process control from upstream to downstream. Supply chain management is one form of competitive advantage, this superiority is an important demand for the company. Therefore, supply chain management can streamline the production processes in the company's agencies. With the construction of a supply chain management information system can be one of the media that makes it easier for companies to improve the production process. The Information System is created by applying the Supply Chain Management concept using the waterfall method.
RANCANG BANGUN GAME SIMULASI PEMBUATAN KECAP TRADISIONAL MAJALENGKA MENGGUNAKAN METODE MDLC BERBASIS ANDROID

Majalengka is one of the regencies located in West Java Province with various cultures and culinary. The use of traditional soy sauce is less attractive than the use of modern soy sauce, thus the authors designed a simulation game for making traditional soy sauce Majalengka using the Multimedia Development Life Cycle (MDLC) method. Games are currently in great demand by various groups, especially children, which are used as educational tools to improve children's abilities, for example in the culinary field, which aims to create a conservation medium in the form of android-based educational games. With the existence of the traditional Majalengka soy sauce simulation game, it can make it easier for the introduction of making traditional soy sauce, this traditional soy sauce making simulation game is expected to be able to introduce the traditional Majalengka soy sauce to the community, especially in the Majalengka area.
DOIPLOT: Stata module for visualization of asymmetry and heterogeneity in meta-analysis

doiplot generates the Doi plot and its variants (combinations with the funnel and Galbraith plots). The plots also include the LFK index and Egger's test P-value as a note. The Doi plot replaces the conventional scatter (funnel) plot of precision versus effect with a folded normal quantile (Z-score) versus effect plot. Combined with the Galbraith plot, the Doi-Galbraith plot delivers a combined graphical overview of both study symmetry and heterogeneity at a glance.
KENDALA PANDEMI COVID-19 TERHADAP PROSES PEMBELAJARAN ONLINE DI MIN 4 BUNGO

Pademi covid-19 has disrupted the conventional learning process. So a solution is needed to answer these problems. Online learning is one alternative that can solve this problem. The research objective was to determine the obstacles faced by teachers, students and parents when teaching online at MIN 4 Bungo. This research method uses a qualitative case study, which is used to obtain information about the problems formulated by the author. Data collection techniques which include; Online observations and interviews. Respondents needed in this study were students and parents of class V at MIN 4 Bungo, totaling 30 people. The main obstacle faced is the lack of facilities owned by students when studying online because not all students have smartphones or computers as learning media used online. Apart from that, another obstacle is the internet package that cannot be reached by all students. The lack of knowledge about the use of technology and the considerable expenditure are obstacles to the learning process.
On-chip generation and characterization of densely-spaced time-bin entangled qubits

By using an on-chip unbalanced interferometer for densely-spaced time-bin state preparation/processing and a spiral waveguide for photon-pair generation, we demonstrate and implement high-quality densely-spaced time-entangled two-photon qubits.
LibGuides: History 402A (Fall 2021): Class Omeka Project

Library instruction guide for the Fall 2020 semester of History 402A: Introduction to Public History.
Trabalhando na linha de frente: o impacto psicológico da COVID-19 nos profissionais de saúde

The present study aimed to investigate in the literature through a systematic review which are the main psychological problems that affect health professionals working on the front line of COVID-19. The methodological procedure was carried out following the guidelines of the PRISMA protocol. The selection of studies was carried out by searching Embase, PubMed, Scopus and the Virtual Health Library (VHL), using controlled descriptors. Studies published from December 2019 to March 2021 were considered eligible, without language restrictions. With the results of the searches, 71 articles were selected to compose the study, verifying that 108,766 health professionals worked on the front line of COVID-19, the female gender was the majority 84,974, compared to the male 22,773. Among the active professionals, 18,764 had depression, 17,877 anxiety, 6,164 stress and 14,256 other psychological problems. Thus, it is clear that the COVID-19 pandemic has contributed to the increase in psychological impacts on health professionals, and it is important to implement interventional measures to promote health, so that in this way they may be reduced.
Multi-Modal Anomaly Detection for Unstructured and Uncertain Environments.

To achieve high-levels of autonomy, modern robots require the ability to detect and recover from anomalies and failures with minimal human supervision. Multi-modal sensor signals could provide more information for such anomaly detection tasks; however, the fusion of high-dimensional and heterogeneous sensor modalities remains a challenging problem. We propose a deep learning neural network: supervised variational autoencoder (SVAE), for failure identification in unstructured and uncertain environments. Our model leverages the representational power of VAE to extract robust features from high-dimensional inputs for supervised learning tasks. The training objective unifies the generative model and the discriminative model, thus making the learning a one-stage procedure. Our experiments on real field robot data demonstrate superior failure identification performance than baseline methods, and that our model learns interpretable representations. Videos of our results are available on our website: this https URL .
LibGuides: Cataloging Work Group: Cataloging Questions/Problems Form

LSP Cataloging Work Group Main Lib Guide- information on events, documentation, and resources
Event of Optical Distortion and its causes

In mathematical optics, bending is a deviation from rectilinear projection; a projection where straightlines in a scene stay straight in a picture. It is a type of optical abnormality.
On Translation Methods of Long Sentences in English for Science and Technology

During international scientific and technological exchanges, it is of great significance and necessity to understand the scientific and technological texts accurately. Long sentence structure is widely used in scientific and technological texts, which reflects accuracy, preciseness and logicality. Therefore, long sentence translation is an unavoidable focus in English for Science and Technology (EST) translation. This paper analyzes the characteristics of long sentences in EST, and then focuses on specific English-Chinese translation methods of long sentences, aiming at smoothing the understanding and translation of long sentences in scientific and technological English texts, and facilitating the exchange of scientific and technological achievements and development between China and foreign countries.
Vote Delegation and Misbehavior.

We study vote delegation with and agents and compare it with conventional voting. Typical examples are validation or governance tasks on blockchains. There is a majority of well-behaving agents, but since voting is costly, they may want to abstain or delegate their vote to other agents. Misbehaving agents always vote. We compare conventional voting allowing for abstention with vote delegation. Preferences of voters are private information and a positive outcome is achieved if well-behaving voters win. We provide three insights: First, if the number of misbehaving voters, denoted by #X, is high, both voting methods fail to deliver a positive outcome. Second, if #X is moderate, conventional voting delivers a positive outcome, while vote delegation fails with probability one. Third, if #X is low, delegation delivers a positive outcome with a higher probability than conventional voting. Finally, our results allow us assessing the performance of vote delegation which is known as liquid democracy.
A Knowledge Graph Based Medical Intelligent Question Answering System

The knowledge graphs play a crucial role in the medical field. However, the knowledge graphs built for helping patients, especially Chinese patients, are rare. This paper built a user-friendly medical knowledge graphs-based automatic question answering system. Firstly, the knowledge graphs contain five entities, namely Disease, Drug, Symptom, Department, and Check is built. Over 20,000 nodes and 160,000 relationships are imported from the open-source datasets. Secondly, a question answering system is established based on the knowledge graphs. The input sentence from users is segmented. Then the Term Frequency-Inverse Document Frequency method is used to extract features. After that, the features are classified by the Naive Bayes model for querying the results from the knowledge graphs. The verification results indicate that the question answering system can recognize the input sentence well and return good results. In addition, we create a user-friendly Chinese interface to display results for users.
Wireless Sensor Network Sebagai Penentu Lokasi Kebakaran Hutan

Forests have an important role for living things today. Where the forest is the main source of oxygen for living things. Based on data from the Direktorat Jenderal Planologi Kehutanan dan Tata Lingkungan (PKTL) of the Ministry of Environment and Forestry, it shows that the total forest area of ​​the entire landmass of Indonesia is 94.1 million hectares or 50.1% of the total area. area. land, and about 274,375 hectares burned. In overcoming this problem, the government has taken various ways, ranging from advocating and imposing legal sanctions on individuals and groups who threaten forest sustainability. In the case of forest fires, they are often detected early and get help from the fire department. So the purpose of this research is to carry out early warning of forest fires using NodeMCU. With the help of NodeMCU will provide fast information to find out fires early so that fires can be contained before they spread widely. This technology will provide information on where the fire points are and send that information through the network to the fire monitoring application that is made. To determine location accuracy, the Mamdani fuzzy method is one part of the Fuzzy Inference System which is useful for drawing or making the best decisions in uncertain problems. will be an innovative medium for any fire information in an area so that it quickly and instantly knows the location of the hotspots and directly occurs at the hotspots so that the burning effect is extensive and results in large losses as well as the effects of air pollution that cause large fires
The Development of Website Video Construction in the Era of Mobile Internet

Since the 21st century, with the continuous development of digital technology and network technology, new media such as the Internet and mobile phones have increasingly affected people's lifestyles and communication methods. The main way people obtain information is not only relying on traditional media such as television, radio, and newspapers, which have disappeared, but new media such as the Internet, mobile phones, and digital television are playing an increasingly important role. With the continuous use of new media today, video viewing has become an important channel for people to spread information and even affect people’s daily habits. Since the establishment of YouTube in 2005, video sites have become the new focus of the Internet, attracting people from all over the world. When users browse the Internet, they are no longer limited to static content such as text and images. Watching videos can better understand the process of disseminating facts. This article conducts research on the development of website video construction in the mobile Internet era. First of all, we have an understanding of website videos based on relevant literature materials, and then visit some website videos, check related content and summarize some problems that have occurred, in order to further understand in the actual situation of website video construction in the mobile Internet era, this article has set up a network questionnaire survey and a field questionnaire survey. The results of the questionnaire survey show that the main problems in website video construction at this stage are copyright issues. Among them, more than 42% are selected. It can be seen from this that a complete copyright protection system at this stage is still being developed. Then, the content assimilation of each video website is more serious, and the people who choose it account for about 31%.