Reviewerly/exHarmony huggingface dataset:
The Labor Behind DH Data Complexity: Balancing Priorities as a Real-Life Researcher

Digital Humanities practitioners vocally praise the creation, re-use, and critique of complex and nuanced data. I connect this well-founded goal of rich humanistic data to the increased amounts of labor required different roles in such data's curation, including the labor that data will ultimately require from its audiences down the road. I argue that this net increase in different project labor forms can be a virtue, but only when that labor is properly planned for, distributed, credited, and compensated.Originally presented at the May 21, 2021 workshop Making Research Data Public: Workshopping Data Management for Digital Humanities, hosted by the University of Ottawa Library.
An optical trinary digit with three-photon down-conversion

It is shown that the onset of signal oscillations in the parametric nonlinear process of three-photon down-conversion is analogous with a first-order phase transition. Such an oscillator exhibits phase tristability, such that by reaching above the oscillation threshold it can take three different states with uniform phase contrasts. An analytically solvable second-order oscillator model is derived and the stability of the trinary phase states is proven through a Lyapunov function. The phase tristability of a three-photon down-conversion oscillator intrinsically emulates a classical trinary digit (trit). Such a trinary digit can be utilized for applications in unconventional computing.
Sentiment Analysis of Code-Mixed Malaysian Social Media Text: Translation Subsystem

In multilingual countries like Malaysia, the use of code-mixed text (English-Malay-Slang) is increasing in social media. This subsystem will only focus on translation of code-mixed text. There are several elements to be translated including abbreviations, misspelt words, and slang words. Also, the most challenging part would be achieving translation without using parallel corpus. Therefore, the translation system will apply MUSE library to generate cross-lingual embedding in order to perform word-to-word translation by using only monolingual corpus. But the result is only able to perform with a single word translation and would risk losing the syntactic structure of the sentence. So, the proposed system will apply the Moses phrase table to randomly select a phrase from the monolingual corpus and uses the cross-lingual embedding to generate the translation result and scores the results in each trained phrase. Thus, the translator will be able to perform translation without losing its synthetic structure. However, the result generated from the phrase table is still not good enough according to the BLEU evaluation scores. Then, the enhancement will apply the iterative back-translation to perform translation by continuously reversing the source and target language to improve the translation quality. Hence, this proposed system benefits the sales and marketing department to further understand customer’s feedback, comments, and inquiries. Also, the translated results would be passable to the subjectivity and emotional analysis team for further evaluation.
Anomaly Detection in Data streams using MOA

Anomaly means anything which deviates from normal. It can be a credit card fraud or sensor alarm or a signal from a condition monitoring device. A problem like anomaly arises when we try to monitor the unusual behaviour of a machine. More number of outliers means the machine needs to be inspected. Anomaly detection in static data can be entirely different from that of streaming data.We have some issues in anomaly detection in streaming data when compared to static data. If any off – line algorithms attempt to find anomalies in streams, it has to store the entire stream for analysis. So, there is a high probability that it will run out of memory space.Also, streams can be infinite and evolving over a period of time because of which maintenance of high detection accuracy becomes almost impossible. In this paper we will discuss about anomaly detection in data streams and using MOA (Massive Online Analysis) tool we will analyse which algorithm derives best results.
Impact of Discourse in Modern AI Based NLP Applications

While Machine Translation (MT) has traditionally considered isolated sentence for word-to-word translation, to improve the translation further, a multi-gram language model felicitated through phrase-table with inter-linguae mappings to improve the accuracy of translations. But this neglects the context essence of collocated and coherent sentences. Thus, the incorporation of Discourse in Machine Translation plays a major role to improve translation. These incorporation of Discourse in MT have significant State-of-the-art application such as Text Extraction, Emotion extraction, Sentiment analysis etc. In this paper, we have an overview of Discourse and Discourse Relations. Also conducted an exhaustive research on the impact of discourse key application of Natural Language Processing (NLP).
The Development of Long-Distance Viewing Direction Analysis and Recognition of Observed Objects Using Head Image and Deep Learning

In this study, we use OpenPose to capture many facial feature nodes, create a data set and label it, and finally bring in the neural network model we created. The purpose is to predict the direction of the person’s line of sight from the face and facial feature nodes and finally add object detection technology to calculate the object that the person is observing. After implementing this method, we found that this method can correctly estimate the human body’s form. Furthermore, if multiple lenses can get more information, the effect will be better than a single lens, evaluating the observed objects more accurately. Furthermore, we found that the head in the image can judge the direction of view. In addition, we found that in the case of the test face tilt, approximately at a tilt angle of 60 degrees, the face nodes can still be captured. Similarly, when the inclination angle is greater than 60 degrees, the facing node cannot be used.
RANCANGAN MODEL PROSES MANUFAKTUR MESIN 3DPRINTING PORTABLE MODEL CARTESIAN

In the development of a product it is very necessary to satisfy the desires ofconsumers, the process requires the translation of technical drawings into aphysical product or commonly called Prototyping. 3d printing machine is one ofthe printing machine to full fill the needs of prototyping by using LayeredManufacturing production process. Today, we are forced to be able to carry outactivities easily and quickly, therefore we need goods with portable form so thatthey can be used easily. This research is expected to get the results of themanufacturing process of the 3d Printing machine that can be used easily and haslow manufacturing costs. In the manufacturing process there are two noteworthyaspects in manufacturing process, the cost incurred and the quality of product. Thefinal result of this research is to get a machine with a low manufacturing price andeasy to use. It is recommended that the machine development process uses a largerbed size so that it can print workpieces with larger dimensions.
BayesSUR: Bayesian Seemingly Unrelated Regression

Bayesian seemingly unrelated regression with general variable selection and dense/sparse covariance matrix. The sparse seemingly unrelated regression is described in Bottolo et al. (2020) , and the software paper is in Zhao et al. (2021) .
여대생의 지각된 스트레스, 우울 및 수면장애가 월경곤란증에 미치는 영향 요인

This study is a descriptive research to provide the basis of program development for further dysmenorrhea relief by looking into identify the degree of perceived stress, depression, sleep disturbance, and dysmenorrhea in female university students, the relationship between these variables, and the factors influencing dysmenorrhea. We collected 160 data female university students who are attending J university. The study period lasted four weeks, going from Nov 11 to Dec 9. The correlated factors of dysmenorrhea included perceived stress(r=.420, p＜.001), depression(r=.459, p ＜.001), sleep disturbance(r=.429, p＜.001). The prevalent factors influencing dysmenorrhea are sleep disturbance, depression, perceived stress. Therefore, it will be needed to find ways and development of an intervention program to relieve perceived stress, reduce depression and enhance the sleep quality for female university students' dysmenorrhea relief.
RANCANG BANGUN SISTEM INFORMASI MANAJEMEN ASET IT PADA PT BATAM AERO TECHNIC LION AIR BERBASIS WEB

At PT Batam Aero Technic (hereinafter referred to as the BAT hangar) there are 300 computers and laptops which were purchased by BAT hangars and a number of printers, copies of photo machines, UPS (Uninterruptible Power Supply) and others. from all of these asset data on managed files there is a risk of missing data and difficulty finding data that requires computer repair. Then in the management of IT assets do not have a secure track record of documents. From the problems above, the development of this application is a solution to the problem above. This application makes it easy to manage asset data and can manage IT assets through the application system and also reduces the risk of data loss.
A robust approach for digital watermarking of satellite imagery dataset

Digital watermarking is nowadays an active research area for protecting multimedia content such as authentication and copyright safeguard. The major challenges faced in most watermarking schemes are related to non-functional requirements such as security, reliability, and robustness against attack. In the present study, a singular value decomposition (SVD) and principal component-based image watermark embedding, and corresponding watermark extraction method have been proposed. The proposed watermarking embedding method also used the concept of particle swarm optimisation (PSO) to obtain an optimum value of the watermark-scaling factor. The proposed method is an assessment with a satellite image dataset [Resourcesat-2 with linear imaging and self scanning (LISS-III) sensor] of the Sangam Region, Prayagraj City, Uttar Pradesh, India (25°20'19.7"N, 81°58'43.8"E). Performance analysis parameter values such as peak signal-to-noise ratio (PSNR), mean square error (MSE), and normalised correlation (NC) are calculated to test the robustness and perceptibility of the proposed method. The experimental results show that the PSNR, MSE, and NC values are 44.6562, 2.2257, and 0.9650 respectively at the tested dataset. The proposed method performs robustly at various types of attacks and different wavelets.
LibGuides: Future Production: Mining: e-Books

This guide was designed to support research. This Guide contains useful library and information resources and services provided by CSIR Information Services (CSIRIS). Click on the tabs above or the quick navigation side panel on the left to find resources
A Data Processing Method for Load Data of Electric Boiler with Heat Reservoir

Data preprocessing is the first and critical step in various tasks due to existed quite a few dirty records. Although there are some corresponding methods for data from electric power system, those methods are less systematic and hard to handle various situations. In this paper, we integrate a data cleaning procedure that can handle various dirty records types present in the heat-storage electric boiler load data, including duplicated values, missing values, and abnormal values. The procedure is clear and consists of three modules connected in the pipeline, including data filtering, data cleaning, and data normalization in turn. The data cleaning is the core module in this procedure and includes missing points complementation and outliers processing. In order to demonstrate the effectiveness of the procedure, two real load power datasets from the heat-storage electric boiler are used in our experiments and the results demonstrate the effectiveness and availability of this work.
Derived Words from Pali and Sanskrit Words Written in Ramayana Drama a Writing by His Majesty King Phra Buddha Lertla Naphalai

This qualitative study aims to introduce the study of the sources, synonym words of derived words from Pali and Sanskrit words written in Ramayana drama, a writing by His Majesty King Phra Buddha Lertla Naphalai. The findings indicated that there are 750 words of derived Pali and Sanskrit words can be classified into 4 aspects, including 210 words of derived from Pali words, 281 words of derived from Sanskrit words, 229 words of derived between Pali and Sanskrit words and 30 words from Pali and Sanskrit words that were created and used in Thai language. There are 14 meaning of synonyms, including gods and devils, body organs, places, natures, objects, properties, characteristics, verbs, emotions, time, numbers, works and etc. All of them has a subdivision meaning into 163 meanings
<i>Timefulness: How Thinking Like a Geologist Can Help Save the World</i>

Book Review| August 06, 2021 Timefulness: How Thinking Like a Geologist Can Help Save the World(Marcia Bjornerud) Marcia Bjornerud, Timefulness: How Thinking Like a Geologist Can Help Save the World. Princeton University Press, Princeton, New Jersey, 224 p. Roy Van Arsdale Roy Van Arsdale University of Memphis, Department of Earth Sciences, Memphis, TN 38152 Search for other works by this author on: GSW Google Scholar Environmental & Engineering Geoscience (2021) 27 (3): 371. https://doi.org/10.2113/gseegeosci.27.3.371 Article history first online: 06 Aug 2021 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Tools Icon Tools Get Permissions Search Site Citation Roy Van Arsdale; Timefulness: How Thinking Like a Geologist Can Help Save the World(Marcia Bjornerud). Environmental & Engineering Geoscience 2021;; 27 (3): 371. doi: https://doi.org/10.2113/gseegeosci.27.3.371 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietyEnvironmental & Engineering Geoscience Search Advanced Search Dr. Bjornerud in her Timefulness: How Thinking Like a Geologist Can Help Save the World brings into focus a broad spectrum of Geological Sciences and how its varied parts impact our lives. We are not used to considering ourselves as part of Earth history, but that reality can no longer be ignored. In this beautifully written book, Dr. Bjornerud not only leads us through deep geologic time but also introduces us to the major scientists who led the way. The book starts with a well-founded attack on creationism's young Earth mentality that impairs people's time perception. She argues that we... You do not have access to this content, please speak to your institutional administrator if you feel you should have access.
Hybrid Searchable Encryption Scheme for Data Security in Cloud

Cloud Computing is an emerging technology which provides on-demand services based on the pay-as-you-go model which reduces IT costs significantly. Cloud comes with many benefits such as Business continuity, Collaboration efficiency, scalability, resource sharing etc. But still, it constitutes several data security issues such as data confidentiality, integrity, authentication, privacy etc. Thus, to protect sensitive data, the document is encrypted at the data owner side before transmitting it to a cloud environment. Cryptography is necessary to provide data security. Although this overpowers the advantages of cloud computing, whenever data user wants to access a part of data it needs to decrypt the data before using. In this paper, a Hybrid Searchable Encryption Scheme is proposed which provide data security while supporting multi-keyword search over the encrypted data by using a Vector Space Model (VSM). Where sense embedding technique is used to create VSM for the document. To provide data confidentiality combination of AES and Blowfish encryption is used. Sha-3 and RSA are used for data integrity. Steganography is applied for secure transfer of keys and message digest. The experimental result shows that the proposed scheme achieves better data security by providing data confidentiality, integrity and authentication along with multi-keyword search at the client end.
A SAÚDE MENTAL DOS IDOSOS EM TEMPOS DE PANDEMIA- COVID-19

Theme: the elderly population and mental health during the pandemic. Problem: what are the main factors that influence the mental and emotional health of elderly people in the context of the COVID-19 pandemic. Hypothesis: many elderly people suffer emotional shocks due to information about the pandemic that cause fear and anxiety, thus compromising their mental health. Objectives: to understand the aspects related to the mental and emotional health of elderly people in the context of the COVID-19 pandemic. Justification: the SARS-COV-2 pandemic affected many elderly people with social isolation, low purchasing power and/or excessive news in the media, frightening everyone. Methodology: This is a literature review. Results. In situations like the Covid-19 pandemic that cause stress and discomfort, it is necessary to deal with the problem with resilience, and also identify the strategies used in the past that were useful at similar times.
Recognizing Handwritten Characters Using OCR & Converting into TTS

The aim of the project is To make Neural Networks aware of handwritten characters, that is, to create a platform that converts handwriting into digital text using Neural Network & Optical Character Recognition. This paper provides an in-depth study of text acquisition, tracking and image recognition with three major contributions. First, it is proposed that a standard framework for the release of image text that equally describes the discovery, tracking, recognition and their relationships and interactions. Second, within this framework, the various methods, systems, and procedures for visualizing the text of an image are summarized, compared, analyzed and the extracted text is converted and extracted by voice. Thirdly, related applications, outstanding challenges, and future directions for image editing are also well discussed.
SPK: Analisis Algoritma Moora Pada Pembeliaan Televisi Sebagai Solusi Keluarga Bijak

The quality of a television is very important in purchasing, it is necessary to research that can help the community in purchasing television for wise kelurga.pada this research made a decision support system that implements Multi-Objective Optimization Method on the basis of Ratio Analysis (MOORA) with the method can provide the best alternative in determining the television as a wise family solution based on the existing criteria, As for some alternatives used are: Polytron, Samsung, Panasonic, LG, Thosibha, Pilips and some criteria such as: Model, Quality, Brand, Size and Price. The research data was obtained from the questionnaire / questionnaire based on the respondents of the community, in the use of MOORA method, the results of research in recommending the purchase of television as a wise family solution is an alternative A1 (politron) 0.1701 as 1st ranking, A5 alternative (Philips) 0.1652 as 2nd ranking and Alternative A2 (Toshiba) 0.0947 as 3rd ranking.
The Impact of Information Technology (IT) on Assessing the Quality of Notifications Based on Standard No. 2420 in the Public Sector in Kuwait

The researcher aimed to explore impact of information technology (IT) on assessing the quality of notifications based on standard No. 2420 in the public sector in Kuwait. He aimed to explore the impact of several variables - like: computers &amp;amp; software, communication systems, and IT users&amp;rsquo; skills &amp;ndash; on the quality of notifications based on standard No. 2420 in the public sector in Kuwait. The population consists from all the internal audit departments in ministries and public bodies in Kuwait. The researcher has chosen a conveyance sample consisting from 200 individuals. He distributed questionnaire forms to them. 167 questionnaire forms were retrieved. They are valid for statistical analysis. The researcher found that information technology (IT) has a significant impact on assessing the quality of notifications based on standard No. 2420 in the public sector in Kuwait.
Institutional repository access policy in public university libraries in Central Java, Indonesia / MZ Eko Handoyo and Atin Istiarni

This article discusses the repository as a service access policy developed and implemented in public university libraries, Central Java, which still protects intellectual work's rights. University-led policies, especially regarding the access of repository collection, becomes very important in this era, as concerning scientific works of academicians and the rights of one's intellectual work. This study aimed to analyze the policies, implementation barriers, and stakeholders' views on accessing the repository imposed in Central Java public university libraries. Samples were taken from ten libraries State University (PTN) in the province of Central Java, Indonesia. Qualitative research method using descriptive, by collecting data through questionnaires distributed to respondents, and study documents to support this research. The results showed that the state university library has a collection of the institutional repository that contains the scientific work community. The software used to manage repository generally uses software-based Eprints, Slmis (GPL v3), and others. Simultaneously, the repository's existing content includes scientific paper form, thesis, thesis, dissertations, and articles. While the policy of access to the collection in the library repository respondent is open access, open access part, and the access is closed, which is reinforced by the legal umbrella of Decree (SK) Rector, Standard Operating Procedure (SOP), or other policies. The head of the library's role in this regard is as a facilitator in developing policies on access to the repository collection.
The Impact of Personal Computer on Students’ Academic Performance

ABSTRACT&#x0D; This study aimed to determine the effects of Personal Computer on students' academic performance of the Grade 11 Senior High School students at MSU-Maguindanao. Specifically, this study identified the uses of Personal Computers as rated by the students in their studies, the academic performance of respondents with Personal Computer, the academic performance of respondents without Personal Computer, and the significant difference in academic performance of respondents with and without Personal Computer. Survey questionnaire was used as an instrument in gathering data. The questionnaire contains ten (10) related to the uses of computer in the students’ studies. The 10 questions are measured in terms of a 4- point scale such as: 1 for always, 2 for often, 3 for seldom and 4 for never. The statistical tools used in the analysis of data are the frequency count and the mean to describe the effects of personal computer on Senior High School students’ academic performance. The data gathered were consolidated and tabulated. The computations were done manually with the aid of scientific calculator. Findings show that the academic performance of the students with personal computer is generally higher than those without personal computer. Therefore, personal computer has effects in improving the students' academic performance.&#x0D; Keywords: Impact, Personal Computer, Students’ Academic Performance