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2022 ◽  
pp. 1-23
Author(s):  
M. Govindarajan

With the increasing penetration of the internet, an ever-growing number of people are voicing their opinions in the numerous blogs, tweets, forums, social networking, and consumer review websites. Each such opinion has a sentiment (positive, negative, or neutral) associated with it. But the problem is that the amount of data is simply overwhelming. Methods like supervised machine learning and lexical-based approaches are available for measuring sentiments that have a huge volume of opinionated data recorded in digital form for analysis. Sentiment analysis has been used in several applications including analysis of the repercussions of events in social networks, analysis of opinions about products and services. This chapter presents sentiment analysis applications and challenges with their approaches and tools. The techniques and applications discussed in this chapter will provide a clear-cut idea to the sentiment analysis researchers to carry out their work in this field.


2021 ◽  
Vol 19 (2) ◽  
pp. 177
Author(s):  
Sisi Rosida

Learning literature in the digital form makes instilling character values in students easier. Learning to write moral stories as a potential alternative to imitating good behavior may foster literary appreciation through the publication of the results of writing moral stories. This study examined the effectiveness of e-paper in improving the ability to write moral stories and students’ productivity in learning. The type of this study was quantitative-descriptive research using a pre-experimental design, specifically in the form of a one-group pretest-posttest design. In this study, data were collected using a written test and documentation. The results showed that (1) e-paper was effective in improving the ability to write moral stories. (2) the learning process involved e-paper as a medium for student productivity in writing moral stories, as reviewed from students’ learning outcomes published in the mass media.


Author(s):  
Poonam Bhanudas Abhale

Abstract: Character recognition is a process by which a computer recognizes letters, figures, or symbols and turns them into a digital form that a computer can use. In moment’s terrain character recognition has gained a lot of attention in the field of pattern recognition. Handwritten character recognition is useful in cheque processing in banks, form recycling systems, and numerous further. Character recognition is one of the well- liked and grueling areas of exploration. In the unborn character recognition produce a paperless terrain. In this paper, we describe the detailed study of the being system for handwritten character recognition. We give a literature review on colorful ways used in offline English character recognition. Keywords: Character; Character recognition; Preprocessing; Segmentation; Point birth; Bracket; neural network; Convolution neural network.


Author(s):  
Sheila Mae S. Pagayonan ◽  

The primary purpose of this study was to provide a new way of keeping and retrieving documents in a digital form available in the Records Office and a computerized leave management system modified for the employees of Northern Iloilo Polytechnic State College Estancia, Iloilo. Specifically, this paper sought to design and develop the Record Management System with Document Control and evaluated its level of usability and performance as perceived by the target users. A total of 165 respondents of the said institution participated in the study which includes the five experts for School Year 2016-2017. The data were gathered through a survey questionnaire that primarily solicited feedbacks from respondents using the International Standard Organization/International Electrotechnical Commission 9126 Model. Descriptive research design was employed to describe the observations of the respondents based on the set objectives. The results revealed that the functionality of the system product, the level of usability as well as its performance were all interpreted as “Very Good”. This significant result implied that the respondents were impressed by the system features of the developed system in a convenient way.


Author(s):  
Piotr Zawojski

The reflections presented in this article are devoted to Junko Theresa Mikuriya’s book, A History of Light. The Idea of Photography. It is a unique view on the search for pre-photographic origins of photography in the field of philosophical writings ranging from Plato, through the neoplatonic philosopher Jamblich’s enquiry, to the texts by Philotheus of Batos and by an early Renaissance philosopher, Marsilio Ficino. When thinking about metaphysics present in (moving and still) images, one should not forget about the metaphysics of the image itself. The idea of photography – regardless of whether we are witnessing a fundamental change in an ontological transition from an analogue to a digital form of image recording – obliges us to discuss the “history of light”, as this is what Mikuriya does. While locating the discussed concepts in the context of the history and theory of photography, as well as the archaeology of media, the author of this essay engages in a dialogue with Mikuriya and polemically discusses many of her hypotheses. Key concepts such as chalepon, photagogia, triton genos, phôteinographeisthai are analysed in order to indicate inspiring moments in the Mikuriya’s reflections, but also a kind of interpretive abuse in the process of reading and analysing philosophical texts addressing the issues of light.


2021 ◽  
Author(s):  
Yash Chaudhari ◽  
Shelly Sachdeva ◽  
Lakshita Aggarwal

Abstract In the year 2020, the world halted due to the spread of COVID-19 or SARS-CoV2 which was first identified in Wuhan, China. Since then, it has caused a plethora of problems around the globe such as the loss of millions of lives. India was one of the countries which were majorly affected by this pandemic. Thousands lost their lives and millions had to be hospitalized and taken into medical care. Due to this, there is an abundance of unorganized and redundant medical data in the Health Information Technology sector. Many hospitals contain various mismatched health records of a single person. We attempt to develop an Interoperable System specifically for COVID-19 using the openEHR standard to organize health records in digital form by creating Electronic Health Records. These records can be accessed and shared by multiple hospitals and clinics to reduce the redundancy of health records. This would establish effective communications between different hospitals and greatly make data sharing, efficient and low cost. Standardization can hugely affect medical errors. Interoperability provides hospitals to share across many channels and help Health care workers to detect discrepancies easily. Lives that are lost due to human error in the health care system can be minimized or even completely avoided. The number of hospitals using interoperable standards is still low and we hope that this paper will help make a change towards following the standard.


Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8250
Author(s):  
Avichal Malhotra ◽  
Simon Raming ◽  
Jérôme Frisch ◽  
Christoph van Treeck

Urban Building Energy Modelling (UBEM) requires adequate geometrical information to represent buildings in a 3D digital form. However, open data models usually lack essential information, such as building geometries, due to a lower granularity in available data. For heating demand simulations, this scarcity impacts the energy predictions and, thereby, questioning existing simulation workflows. In this paper, the authors present an open-source CityGML LoD Transformation (CityLDT) tool for upscaling or downscaling geometries of 3D spatial CityGML building models. With the current support of LoD0–2, this paper presents the adapted methodology and developed algorithms for transformations. Using the presented tool, the authors transform open CityGML datasets and conduct heating demand simulations in Modelica to validate the geometric processing of transformed building models.


2021 ◽  
Author(s):  
Clara Stefen ◽  
Franziska Wagner ◽  
Marika Asztalos ◽  
Peter Giere ◽  
Peter Grobe ◽  
...  

AbstractA new and uniquely structured matrix of mammalian phenotypes, MaTrics (Mammalian Traits for Comparative Genomics) in a digital form is presented. By focussing on mammalian species for which genome assemblies are available, MaTrics provides an interface between mammalogy and comparative genomics.MaTrics was developed within a project aimed to find genetic causes of phenotypic traits of mammals using Forward Genomics. This approach requires genomes and comprehensive and recorded information on homologous phenotypes that are coded as discrete categories in a matrix. MaTrics is an evolving online resource providing information on phenotypic traits in numeric code; traits are coded either as absent/present or with several states as multistate. The state record for each species is linked to at least one reference (e.g., literature, photographs, histological sections, CT scans, or museum specimens) and so MaTrics contributes to digitalization of museum collections. Currently, MaTrics covers 147 mammalian species and includes 231 characters related to structure, morphology, physiology, ecology, and ethology and available in a machine actionable NEXUS-format*. Filling MaTrics revealed substantial knowledge gaps, highlighting the need for phenotyping efforts. Studies based on selected data from MaTrics and using Forward Genomics identified associations between genes and certain phenotypes ranging from lifestyles (e.g., aquatic) to dietary specializations (e.g., herbivory, carnivory). These findings motivate the expansion of phenotyping in MaTrics by filling research gaps and by adding taxa and traits. Only databases like MaTrics will provide machine actionable information on phenotypic traits, an important limitation to genomics. MaTrics is available within the data repository Morph·D·Base (www.morphdbase.de).


2021 ◽  
Vol 7 (1) ◽  
pp. 221-236
Author(s):  
Sara Horvat ◽  
Sanja Seljan ◽  
Berislava Starešinić

A message sent to a specific market or an audience contains certain types of information that affect the audience. For this reason, brand identity, nowadays increasingly in a digital form, plays an important role. Each state wants to create a robust, attractive, and different brand identity that will set it apart from other states and thus augment its reputation. This research aimed to determine the elements of brand identity that respondents mostly associate with Croatia and to examine their attitudes towards the belief that the brand identity that influences emotions is essential in the creation of national visual identity, as well as their attitudes towards the assumption that the brand identity of Croatia should be liked first by the inhabitants of Croatia, and only then by foreign tourists. Two research propositions were tested using the structural equation modeling, measuring the relationship between the emotional and formal elements of brand identity with the attitudes towards the emotions concerning the brand identity and the relevance of the brand identity to the country residents. This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.


2021 ◽  
Author(s):  
Yash Chaudhari ◽  
Shelly Sachdeva ◽  
Lakshita Aggarwal

Abstract In the year 2020, the world halted due to the spread of COVID-19 or SARS-CoV2 which was first identified in Wuhan, China. Since then, it has caused a plethora of problems around the globe such as the loss of millions of lives. India was one of the countries which were majorly affected by this pandemic. Thousands lost their lives and millions had to be hospitalized and taken into medical care. Due to this, there is an abundance of unorganized and redundant medical data in the Health Information Technology sector. Many hospitals contain various mismatched health records of a single person. We attempt to develop an Interoperable System specifically for COVID-19 using the openEHR standard to organize health records in digital form by creating Electronic Health Records. These records can be accessed and shared by multiple hospitals and clinics to reduce the redundancy of health records. This would establish effective communications between different hospitals and greatly make data sharing, efficient and low cost. Standardization can hugely affect medical errors. Interoperability provides hospitals to share across many channels and help Health care workers to detect discrepancies easily. Lives that are lost due to human error in the health care system can be minimized or even completely avoided. The number of hospitals using interoperable standards is still low and we hope that this paper will help make a change towards following the standard.


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