Reviewerly/exHarmony huggingface dataset:
Theoretical Review of Digital Cinema Semiotics and Proposal of Skeleton Algorithm

This paper aims to examine the possibilities of ‘digital cinema semiotics’ theoretically. This is an attempt to rethink the conventional cinema semiotics based on today’s digital conditions. There have been attempts to introduce the linguistics model (Metz), phenomenology (Mitry), and bodies-passions (Greimas & Fontanille) to explain the “sign” of cinema. To synthesize these discussions, this paper proposed to view the ‘sign’ of the cinema as the ‘cinematograph.’ Cinematograph is one of the technological grammatization with its own logic and system, meaning movement-graphic. This is because, unlike the “sign” of cinema, cinematographs are closely related to our bodies, perception system, and (un)consciousness as a writing system. Meanwhile, the digitization of the cinema allows the analysis of the movement-value of cinematographs. The computability of cinematographs is the condition of digital cinema semiotics. And this paper proposes a skeleton algorithm as a practical application example. This algorithm can help quantify and analyze the character’s action-movement value. Of course, it isn’t quite meaningful to analyze the value of one separated action-movement. It is similar to the attribute of ‘sign’ defined by Saussure. The meaning of the sign is constituted only through ‘differences’ and ‘combinations.’ Therefore, the cinematograph’s movement-value should be analyzed in terms of differences and combinations with other data, not just itself.
Cataloging Correctly for Kids: An Introduction to the Tools and Practices

"Cataloging Correctly for Kids: An Introduction to the Tools and Practices." Cataloging & Classification Quarterly, 59(7), pp. 696–697
Detection of Melanoma from Skin Images Using a Multiple Extraction and Support Vector Machine (SVM)

Digital Image Processing (DIP) plays an important role in the process of segmentation and classification of biomedical images.The detection of melanoma from skin images is the most widely used in biomedical imaging applications.In this paper, a new algorithm for the detection of melanoma from digital images using multiple extraction capabilities with a support vector machine (SVM) for very precise classification.To train SVM, more characteristics such as color, texture, and statistical characteristics are taken into account.To increase the sensitivity of the classification, feature extraction is performed in the RGB (red, green and blue) and HIS (hue, intensity, saturation) color domains.Two separate modules for training and testing are performed with sample data collected with the help of medical experts.To separate the skin region, a song-based segmentation technique is used in the gray scale component of the input image.The proposed method is tested with various images which are collected from different patients from different locations.From the validation of the result, it is clear that the proposed algorithm can provide a maximum precision of 95%, which is the best compared to conventional classification algorithms
Periodic Table of the Vertical Structure of the earth sphere

The standard model of the microscopic world reveals the internal correlation between microscopic particles, and the periodic table of the elements reveals the internal correlation between elements; does our macroscopic world have a periodic model to reveal the periodic laws of the macroscopic world; we say macroscopic The inner and outer layers of the earth have a periodic law of spatial structure. This periodic law believes that these layers of the earth are not formed randomly, but are regular periodic structures, which can be summarized as a'circle' structure The periodic table of changes.微观世界的标准模型揭示了微观粒子之间的内在关联性，元素周期表揭示了元素之间的内在的关联性；我们的宏观世界有没有一个周期模型，来揭示宏观世界的周期规律；我们说宏观的地球的内部圈层和外部圈层有一个空间结构周期规律，这个周期律认为地球的这些圈层不是随机形成的，是有规律的圈层周期结构，可以归纳出一个‘圈层’结构的变化周期表。
Threshold effects of financial access on income inequality in Africa: empirics and policy implications

Reducing income inequality on the back of improved financial access is one of the major preoccupations of countries in Africa. This is based on the premise that higher financial access provides crucial financial services to the poor. However, empirical evidence on financial access-income inequality link is inconclusive given the varying findings. Increasingly, this lack of conclusiveness may be linked to indirect factors that are hitherto ignored in the existing literature. With high income inequality, sluggish economic growth and high interest rates, re-engaging the impact of financial access on income inequality in the light of the relative changes in interest rates and that of economic growth deserve far more nuanced and in-depth analysis. This study therefore contributes to the ongoing literature by examining the impact of financial access on inequality in Africa when the effect is conditioned on the relative speed of growth (𝑔) and that of real interest rates (𝑟). By using a sample splitting approach that relies on a computationally robust bootstrap algorithm, we find that financial access does not reduce income inequality. While financial deepening exacerbates inequality in Africa, the inequality-widening effect is exceedingly higher when the gap between countries’ 𝑟 and 𝑔 sufficiently exceeds the estimated threshold. This finding is robust to the measures of income inequality. In addition to reducing interest rates, policies that aim to spur economic growth are critical in facilitating the income inequality-reducing effect of financial access in Africa.
Modeling Customer Behavior for Efficient Recommendation Systems

Maintaining good relationships with customers is the need of the day for many companies.For maintain this relationship and loyalty,it is always preffered to design a good recommendation system which would always attract new customers and also retain the old ones. Current systems take the choice of customers and also measures similarity of the customer to different customers for recommendations. But reviews of the customers are not taken into consideration for recommendations. Hence,the proposed approach takes reviews of the buyers (textual and nontextual) and combines it with the current systems for an efficient recommendation.
Penalized Maximum Likelihood Estimator for Finite Skew-Laplace-Normal Mixtures

Skew-Laplace-Normal Mixture models is a more flexible framework than the normal mixture models for heterogeneous data with asymmetric behaviors. But it’s likelihood function have some bad math properties, such as the unboundedness of likelihood function and the divergency of skewness parameter, it often mislead statistic inference. In this paper, we given a penalizing the likelihood function method to deal with these problem simultaneously, and we given the detail of proof on parameter have strongly consistency. We also give a modified penalized EM-type algorithms to compute penalized estimators.
SIMstack: A Generative Shape and Instance Model for Unordered Object Stacks

By estimating 3D shape and instances from a single view, we can capture information about an environment quickly, without the need for comprehensive scanning and multi-view fusion. Solving this task for composite scenes (such as object stacks) is challenging: occluded areas are not only ambiguous in shape but also in instance segmentation; multiple decompositions could be valid. We observe that physics constrains decomposition as well as shape in occluded regions and hypothesise that a latent space learned from scenes built under physics simulation can serve as a prior to better predict shape and instances in occluded regions. To this end we propose SIMstack, a depth-conditioned Variational Auto-Encoder (VAE), trained on a dataset of objects stacked under physics simulation. We formulate instance segmentation as a centre voting task which allows for class-agnostic detection and doesn't require setting the maximum number of objects in the scene. At test time, our model can generate 3D shape and instance segmentation from a single depth view, probabilistically sampling proposals for the occluded region from the learned latent space. Our method has practical applications in providing robots some of the ability humans have to make rapid intuitive inferences of partially observed scenes. We demonstrate an application for precise (non-disruptive) object grasping of unknown objects from a single depth view.
INFLUENCE OF THE PERFORMANCE OF NATIONAL POLICE SERVICE IN PREVENTION OF ORGANIZED CRIMES IN MOMBASA COUNTY, KENYA

This paper uses data collected for an MA Thesis on influence of the Performance of National Police Service in Prevention of organized Crimes in Mombasa County, Kenya. The study was necessitated by continued rise of criminal gangs despite police service efforts to contain the problem. The study was guided by three specific objectives, but for this paper first and second objectives will be discussed. First, the examined the influence of resource capacity on the performance of national police service in prevention of organized crimes in Mombasa County. Secondly, the study examined the influence of motivation on the performance of national police service in prevention of organized crimes. Thirdly, the last objective assessed the influence of external environment on the performance of National Police Service in prevention of organized crimes in Mombasa County, Kenya. The survey utilized Expectancy theory and Crime Pattern Theory and adopted a descriptive research design employing a mixed method paradigm.&#x0D; The study sample size comprised 306 National Police Service officers (NPS); Directorate of Criminal Investigations (DCI) officers, Kenya Police service (KP), and Administration Police (AP) officers both senior and junior. Qualitative data was analyzed using thematic analysis derived from the study objectives. On the other hand, quantitative data was analyzed through descriptive statistics. According to the findings, 17% of the police officers still undertake operations without intelligence briefing, and that despite the availability of criminal intelligence. Besides, access to criminal intelligence was still a major challenge to 45% of the officers while inter-agency coordination was a rare part of the fight against organized crime to 56% of the officers who were not involved. The findings also revealed that despite the importance of training towards the prevention of organized crime, 33% of police officers did not have access to these trainings. Furthermore, 53% of the officers, cited lack of recognition and motivation that could go a long way in raising performance of the police officers. The study makes two major recommendations; special attention to training and curriculum review that addresses the demands of emerging global security challenges. Secondly, officer’s welfare remains a thorny issue which can potentially stifle any crime prevention initiative. Welfare issues of concern such as merit and fairness in promotions, rewards and other incentives, and better compensation were said to be an integral part of any serious police reform agenda.
Research Trends in Medieval Korean History in 2019 and 2020: Quantitative Research Methods and Keyword Analysis

The purpose of this article is to understand the research trends of the Goryeo Dynasty by examining academic papers published in 2019 and 2020.<BR> For this purpose, 428 papers are collected through 〈Korean History Research Compendium〉 and their analysis are focused on keywords.<BR> The analysis results can be roughly divided into the following four trends. First, there are many studies on national rituals. Second, studies on Buddhism, including the Tripitaka Koreana, have been conducted in various aspects. Third, many studies have been produced on the relationship between Goryeo and Mongol empire. In addition, various discussions were held in detail, such as the Goryeo-Mongol War, diplomatic relations between the two countries, and efforts to secure king’s power under the influence of the Mongol empire. Fourth, a lot of research has been done on the space of the palace and the capital, Gaegyeong.
Prediction and Analysis of Device Failure Alarm Based on Intelligent Expert System

Based on the classification, processing and reasoning of the alarm information of the smart substation equipment when the fault occurs, the intelligent alarm of the fault is realized. In this paper, the working process of the intelligent alarm was sorted out, and according to the severity level of intelligent substation alarm information, the staged processing of the information was carried out, and the alarm information was displayed. Then through analyzing the SCD configuration file of the intelligent substation, the secondarynetwork topology was drawn and then it was interconnected with the alarm information, thus narrowingthe positioning scope of the fault point. Later, the reasoning knowledge base was established based on the intelligent alarm expert system, so that the fault could be quickly located and eliminated when the alarm occurred. The effectiveness of the method was verified by practical reasoning cases.
12 The Linguistics Relation in the Virtual Grid: A Digital Dialogue

In the digital world, language is undergoing a change effected by the technologies available to users in order to create a special interaction between humans and machines. This interaction is part of a new linguistic grid. A language grid that is based on dialogue involving intentions, inferences, and knowledge. Its occurrence in the virtual world is very much based on the pragmatics of the real world. This chapter will discuss the nature of this Digital Dialogue between humans and machines and show its bi-directionality. The freedom to express our thoughts and opinions through language forms a creative approach to digital interaction. We take elements from our virtual world back into real life and use them in a casual, everyday dialogue among humans. The globalization of language is a byproduct of this phenomena. For instance, we borrow elements, such as linguistic structure, from the digital-world dialogue and adopt a machine-oriented syntax to create a new lexicon that is now a legitimate language in the real world. Similarly, in software language, we create objects to reflect a set of announcements and emotions (such as emoji or memes) which we deploy linguistically. What we see now, this chapter contends, is an evolution of over fifteen years of Internet, social networks, and instant messaging penetrating into every linguistic sphere of our lives. In this way, similarly to the era of the Industrial Revolution, the digital era has created new types of interactions. These include the huge amount of time we spend in the virtual worlds of gaming, social and educative entertainment, and infotainment. Using artificial intelligence “improves” all these interactions to the point that sometimes it is hard to determine which is the machine and who is the human.
New Trends in Korean History Research and Suggestions for Paradigm Shift

This article examines the research trends in the field of pre-modern Korean history between 2019 and 2020. I identified new trends in research and made some suggestions for a paradigm shift in research. There have been many concerns that discussions on the new historical perception theory have been sluggish. However it was notable that criticism and reflection on the old theory of the immanent development began more than 20 years ago, and findings of empirical researches have accumulated considerably.<BR> In order to establish a new theory of historical perception, the entire academic world must strive to systematize distributed research results. To this end, it is necessary to organize a research group encompassing researchers from Korean history and from Eastern and Western histories to maintain a syntactic position and promote research on comparative history. In addition, it is necessary to define terms and concepts strictly through the methodology of conceptual history and to have a theoretical system by accepting social science theory. <BR> Based on these efforts, it is necessary to establish a theory of historical perception that encompasses the flow of history at multi-layered units including individual countries. Of course, it is necessary to investigate what kind of inequality that the world historical flow causes in individual countries or their internal constituent groups. In this respect, it is necessary to consider seriously the problem of consciousness of ‘glocal history’ in the search for alternatives to the theory of the immanent development.
Development of Snake Ladder Game as a Health Promotion Medium for School Aged Children in Pamulang Barat Elemntary School

The purpose of this study was to determine the feasibility of health promotion media for snake and dental health ladder games for school-age children in Pamulang Barat Elementary School in 2019. The research method used isResearch and Development method which uses 45 samples of third grade students in Pamulang Barat Elementary School with the distribution of 10 students in the first try and 35 students in the field trials. The results of this study areresults of the assessment of 2 material experts obtained an average score of 42 or 84%. The results of the assessment of 2 media experts obtained an average score of 73 or 73%. The results of the assessment of responses from students in small group trials the average score is 51.3 with an assessment percentage of 98%. The average score of response assessment of 35 students in a large group is 52.8 with 96% assessment percentage. This research shows that the game of snakes and ladders for oral health is categorized as "Worthy" assessed from the media aspect by media experts and learning aspects by material experts. Student responses to the snake and tooth health mouth ladder game can be categorized as "Very Good".
Chapter 5: Ethical and Other Considerations

As libraries explore the feasibility of implementing blockchain-based applications, a number of issues and questions arise that are beyond the scope of the technological implementation. In chapter 5 of Library Technology Reports (vol. 55, no. 8), “Blockchain in Libraries,” we explore some of these questions in the hopes of raising awareness, creating a dialogue, and motivating an investigation into some of them.
The Young Herdsman

The Young Herdsman Oscar Oswald (bio) Bird I love but one who floats to thee, prefers to be the jade where there is none with quiet time, how often am I thereby green I pay the officer one look I go inside I speak to her I love, that is my habit— love opens the acorn of my earshot state these notes I carry in my arms now please for love who is already short of breath more people hear, love whisper through the air what have I to do with their interrogations chain me down that I no wonder would undo my love is light a silent window and the riverbed, that is my skin [End Page 183] Love is the country, tell me the foreigner who speaks what is this made for me my love what love captains of cedar, what man is an alliance I have my person wrap me love is sage and tar and rips apart my hand I am an empty glass love rings am I in uniform I roll my sleeves of course love melts me head to toe to hold myself straight, and that crumbles the authority what liberty please would the keynote speaker swooping for I hear, who sings to me this land is yours what love have I will be my currency and lives uncredited, anonymous [End Page 184] Oncoming love do I slip into uniform or censor speaking love in custody my loving name outpours to people her within her harbor, and she twice elected from the pond love's letters overlay the blue forever which is unbelievable repay her [End Page 185] Oscar Oswald Oscar Oswald's first book of poetry, Irredenta (Nightboat Books, 2021), engages the pastoral tradition from the context of Thoreau, Stein, and Niedecker, interrogating American civics and citizenry from a pastoral position. His poems have appeared in Antioch Review, Colorado Review, Fence, Lana Turner, Blackbox Manifold, New American Writing, and VOLT, among other journals. Oscar has served as an Assistant Editor for Noemi Press and as the Poetry Editor for Witness, and he has a PhD in English and Creative Writing from the University of Nevada, Las Vegas. Copyright © 2021 Middlebury College
Leveraging Machine Learning to Detect Data Curation Activities.

This paper describes a machine learning approach for annotating and analyzing data curation work logs at ICPSR, a large social sciences data archive. The systems we studied track curation work and coordinate team decision-making at ICPSR. Archive staff use these systems to organize, prioritize, and document curation work done on datasets, making them promising resources for studying curation work and its impact on data reuse, especially in combination with data usage analytics. A key challenge, however, is classifying similar activities so that they can be measured and associated with impact metrics. This paper contributes: 1) a set of data curation activities; 2) a computational model for identifying curation actions in work log descriptions; and 3) an analysis of frequent data curation activities at ICPSR over time. We first propose a set of data curation actions to help us analyze the impact of curation work. We then use this set to annotate a set of data curation logs, which contain records of data transformations and project management decisions completed by archive staff. Finally, we train a text classifier to detect the frequency of curation actions in a large set of work logs. Our approach supports the analysis of curation work documented in work log systems as an important step toward studying the relationship between research data curation and data reuse.
Database Security in a Dynamic IT world

Databases are vulnerable. Public statements by Target, Home Depot, and Anthem following their extremely advertised data breaches are each uniform and succinct on how their breaches unfolded: unauthorized access to those systems that ultimately led to the extraction of sensitive information. A comprehensive strategy to secure a database is over data security. Usually, security events will be related to the later action: illegitimate access to data confidentiality damage, injury to the integrity of knowledge, loss of data accessibility (Discover). Loss of privacy of data, creating them accessible to others without a right of access is not visible within the database and does not need changes deductible database. This paper addresses these events to confirm database security.
Social Justice As A Specific Principle Of Governance

This article discusses a scientific and theoretical analysis of the conceptual aspects of social justice as a governing principle. Historical and philosophical foundations of social justice, as well as the importance of social justice in the formation of the volume and content of the general social space of social aspirations in society, the formation of certain directions of people’s ideas about freedom and well-being.
The Language of Logic

In this chapter, we introduce the language of first-order logic, on which we may base precise thinking, speaking, and writing, in computer science and all other kinds of scientific disciplines. We present first-order logic as a formal language in the spirit of the previous chapter by an abstract syntax based on which the intuitive interpretation of the various phrases is explained.
O DESIGN EDITORIAL BRASILEIRO NO CAPITALISMO COGNITIVO: A LÓGICA DO CAMPO DAS PUBLICAÇÕES COM DESIGN AUTORAL

This thesis seeks to analyze, discuss and understand the authorship manifestations in brazilian editorial design. When reflecting on the designer as author of the book, we realize that the authorship manifests differently according to the kind of publication. Thus, we try to determine in which publications the designer should be considered the author of the books he designs, and therefore having his rights assured...