bluuebunny/crossref_metadata_2025 huggingface dataset:
Russian Economy Model: Post-industrial Society without Industrial Sector
Authors: Balatsky E. V. , Ekimova N. A.
Published: June 2021

The study's relevance is due to the gradual transition of different countries of the world to a post-industrial economy, in which the share of industrial employment is significantly reduced. However, this process is usually associated with high social costs and management mistakes. Russia is not a happy exception to this rule. The article aims to identify the pain points of the Russian labour market and the higher education system caused by the transition process. For this purpose, based on the data of Rosstat, we considered the phenomenon of the educational bubble in the university sphere in 1992-2008 and the reasons for its occurrence. By using Russian and international statistics, it was possible to justify the gap between the sphere of higher education in Russia and the real sector of the economy. The analysis of the macroeconomic (aggregated) sectoral structure of the Russian economy and the higher education system did not reveal the existing personnel imbalances in Russia. This task we achieved by combining an external view of the manufacturing industry (comparison with other countries) and an internal one (study of its human resources potential). The main conclusion is that Russia is rebuilding the employment structure in the direction of the post-industrial stage of development. Still, at the same time, it does not have adequate support in the form of effective agricultural and industrial sectors. Such a transitive model of economic evolution is extremely inefficient and is fraught with the transformation of the country into a kind of “civilized colony” of the world system. To prevent this negative scenario, it is necessary, on the one hand, the most aggressive borrowing by the Russian industry of new technologies (including robots), on the other — the restoration of extremely close ties between universities and enterprises of the real sector of the economy. The model of the reintegration of universities and enterprises is a promising direction for further research.
Analysis of the Development of the Transport System of Saint Petersburg
Authors: Smirnov A. Yu.
Published: June 2021

St. Petersburg is the fourth most populous city in Europe (after Moscow, Greater London and Greater Paris). Hundreds of thousands of people move daily within the urban agglomeration. Under these conditions, the effective functioning of the urban economy is impossible without a modern transport system capable of providing a solution to current and future problems of the urban economy. The work aims to analyse the effectiveness of the development of the transport system of St. Petersburg. Therefore, it is necessary to examine the main provisions of the most critical regulatory legal acts regulating the city's transport system's development, identify their advantages and disadvantages, and determine how effectively the activities outlined in them are being implemented in dynamics. The author's analysis of the two editions of the St. Petersburg transport system development program (the original edition of 2014 and the current edition of 2020) revealed negative trends, consisting of the deviation of the program indicators' actual value their planned values. Based on the results of the study, the author draws the following conclusions: when implementing the program for the development of the transport system of St. Petersburg, general principles of strategic management are not used, particularly, the effectiveness of program measures is not analysed, the reasons and factors that led to the deviation of planned indicators from the actual ones are not extended for a new period without any assessment of the results achieved; indicators of the transport system development program are constantly being adjusted downward; There is no unified management system for the development of transport infrastructure in the city, the program activities themselves are distributed among separate committees of the city administration, which harms the results of socio-economic development of the transport complex.
Literary Primatology: Reading Primatology in Ape Fiction
Authors:   Universidad de Extremadura, Villanueva-Romero Diana
Published: June 2021

This article aims at defining the field of literary primatology and illustrating the main forms it has taken in Anglophone literatures in the twenty-first century. The article is organized around five sections. The first one introduces the term literary primatology. The second portrays the cultural background against which this field emerged. The third describes its main themes and illustrates them by bringing to the fore significant literary works produced in the twenty-first century. The fourth looks at examples of ape imaginings. Finally, I enumerate some of the unifying characteristics of these narratives and explain literary primatology as one of the responses to today’s Anthropocene anxiety and the feeling of grief or solastalgia for a dying planet.
The Anthropocene, Cli-Fi and Food: Margaret Atwood's MaddAddam
Authors:   Universidad de Zaragoza, Muñoz-González Esther
Published: June 2021

This article examines Margaret Atwood’s climate fiction novel MaddAddam (2013), a dystopian cautionary text in which food production and eating become ethical choices related to individual agency and linked to sustainability. In the novel, both mainstream environmentalism and deep ecologism are shown to be insufficient and fundamentally irrelevant in the face of a submissive population, in a state of passivity that environmental studies scholar Stacy Alaimo relates to a scientific and masculinist interpretation of the Anthropocene. The article focuses on edibility as a key element in negotiating identity, belonging, cohabitation and the frontiers of the new MaddAddam postapocalyptic community.
Ectogenesis and Representations of Future Motherings in Helen Sedgwick’s The Growing Season
Authors:   Universidad de Zaragoza, Aliaga-Lavrijsen Jessica
Published: June 2021

After the boom of feminist science fiction in the 1970s, many such novels have tackled the different sociocultural understandings of gender and sexual reproduction. Conventionally, patriarchal thinking tends to posit a biological explanation for gender inequality: women are supposed to be child bearers and the primary caregivers, whereas men should provide for the family through their work. However, if men could share procreation, would these views change? A recent work of fiction exploring this question from multiple perspectives is Helen Sedgwick’s The Growing Season (2017), a novel that presents a near future in which babies can be grown in artificial wombs that can be carried around. As an analysis of the novel will show, The Growing Season creatively explores the existing tensions among contemporary understandings of motherhood and feminism(s), as well as developments in reproductive biotechnology, through the different perspectives offered by the heterodiegetic third-person narration and multiple focalisation. Ultimately, the voices of the different characters in the novel convey a polyhedral vision of possible future feminist motherhood(s) where ideas of personal freedom and codependency are radically reconceptualised—a rethinking that becomes especially important nowadays, for the biotechnological elements of this fictional dystopia are already a reality.
The Ethics of Care in the No Fire Zone: Anuk Arudpragasam’s The Story of a Brief Marriage
Authors:   Universitat de Barcelona, Alonso-Breto Isabel
Published: June 2021

The ethics of care is a central element in the novel The Story of a Brief Marriage (2016), written by Anuk Arudpragasam in response to the slaughter which the Tamil community suffered in the final months of the Sri Lankan civil war in 2009. This article discusses the novel from this theoretical perspective, positing that care is played out as a strategy to enhance the jeopardised human condition of those involved. The narrative bears witness to the intense suffering of this community at a time when the situation was deadly for civilians, who were confined in the so-called “No Fire Zone.” Paradoxically, this area was systematically shelled, its conditions responding to what Achille Mbembe has described as necropolitics. In the midst of this horror, however, Arudpragasam’s novel finds a deeply moving ethics of care in people’s attitudes to one another, which signals a desperate attempt to keep the bereaved community together or at least maintain an essential sense of humanness. Care is also identified as intentio autoris since the novel becomes a powerful reminder of the huge toll of human lives and the immense pain that occurred in this dark episode, as well as the failure—or lack of interest—of the international community to intervene in order to save thousands of innocent lives.
From the Experience of Studying Practices of Creating and Preserving Digital Records of Personal Provenance in the Context of Archival Work on the Personal Collections
Authors:   State Archive of the Tomsk Region, Tomsk, Russian Federation, Shulga Tatyana V.
Published: June 2021

Active creation and accumulation of document complexes by citizens, which exist only in digital environment, has led to a change in types, forms, and content of personal documentary materials, to their multiplication, thus inevitably entailing a change in documents composition of future personal provenance fonds. It is in the personal archives of citizens that the greatest diversity of documents is observed and changes in the methods, types, and formats of data documenting are reflected most quickly. However, the composition of electronic documents received in recent years for storage in archival institutions is presented, in the overwhelming majority, by audiovisual forms. These are mainly photo and video documents. One of the reasons for limited range of electronic documents transferred for archival storage is lack of clear understanding of what personal electronic archives are today, which materials are of greatest value for the society. The article presents the results of a study conducted in the collaboration of researchers from the Tomsk State University and archivists of the State Archives of Tomsk Region. The method of semi-structured interviews has been used to describe practices of creating, preserving, and using personal electronic archives by representatives of the Tomsk academic community. The description of such an archive makes it possible to highlight main features of such complexes of documents, to identify changes in their composition, structure, features, and to trace personal strategies for their preservation and transfer to the State Archives of the Tomsk Region wherein they form personal provenance fonds. In the work of archivists, the results of this study can be used for developing criteria for evaluation and technological capabilities for reception of electronic documents of personal provenance. The results of this research can be used by the state archives as guidelines for building their relations with citizens on the issues of streamlining and preserving personal electronic documents by their creators. Changes in practices of usage, value perception, and attitude of owners towards their electronic materials demonstrate a need for developing recommendations for documents preservation, selection, and preparation for transfer to the state archives. To support the best practices presented in such recommendations, archival professionals will have to organize additional opportunities for dialogue with citizens via workshops, questions and answers sessions, etc.
Electronic Documents in Archives’ Information Exchange System
Authors:   All-Russian Records Management and Archival Science Research Institute, Moscow, Russian Federation, Sabennikova Irina V.
Published: June 2021

The functioning of various types of documents in the information space is determined by new technologies: social networks, blogs, forums, Internet exhibitions, electronic periodicals and non-periodical editions; they directly affect the formation of ethical, political, socio-cultural perceptions of modern users. There is a tendency to diversify these technologies as applicable to various types of electronic documents and for purposes of their use. Nowadays, the archives face a number of important tasks concerning study, analysis, admission for storage, and further use of documents. Among the issues requiring consideration and clarification in relation to electronic documents there is definition of the original, distinction between the original and electronic copy, the original and falsified document, definition of its material carrier, broadcasting of information, as well as some legal issues, primarily, questions of ownership, copyright, etc. The accumulation of information in the virtual sphere proceeds in various forms: there are photographs, videos from digital cameras, all kinds of electronic documents; it necessitates a clarification of some provisions concerning acquisition, storage, and usage of the documents and the information they contain. The article uses a research metaphor of “digital cultural layer” to express the changes in the archival sphere, where there emerges a new layer (complex) of electronic documents that has been created and is functioning in the virtual sphere. Electronic digital document doesn’t fit the usual paradigm, according to which a document always has a visualized material medium. The notion of the “original” becomes a subject for clarification. Acceptance of electronic documents for storage leads to adjustment of such traditional notions as “storage item” and “record-keeping item.” Identification of electronic document also requires clarification, since it does not lend itself to “identification” in the usual sense and we can only speak of conditional identification. The issues of acquisition, storage, and usage of electronic documents are considered in the article on the example of personal collections. As a significant part of citizens participate in various forms of social activity on the Internet (blogs, forums, electronic correspondence, etc.), thus expanding the social base of creators and holders of personal information, the near future will see a replenishment of personal provenance collections by electronic documents of personal origin.
Archival Rossica in Slovakia: Documents on the History of Slovak-Russian Contacts in the Archive of the Slovak Matica
Authors:   Comenius University, Bratislava, Slovak Republic, Danish Miroslav , Rokina Galina V. ,   Mari State University, Yoshkar-Ola, Russian Federation
Published: June 2021

The article traces the process of formation of archival Rossica in one of the oldest archives of the Slovak Republic. The authors analyze documentary materials on the history of the Slovak-Russian contacts in the 19th century, the period when ties between Slovak and Russian scientists and public figures were most intense. It was at this time that the process of national identity formation of the Slovaks took place. The article is to investigate the content of documents from the standpoint of methodology of historical memory and that of principles of historicism. Despite the fact that the history of the Slovak-Russian relations has been in the focus of attention of national and foreign scientists for many years, there are no special scientific studies in which archival materials on this issue would be systematized. In the modern historiographic situation, as there continues a “revision” of previous assessments of the history of the Slovak-Russian relations, the role of archival heritage increases, and yet its significant part has not been introduced into scientific use. In historical science, the most important archive for reconstruction of the history of the Slovak-Russian contacts in the 19th century is the archive of the Slovak Matica. This organization was created by order of the Austro-Hungarian authorities in Martin, city in the East of Slovakia. In the 19th century the Slovak Matica was a center of social life of the Slovaks and played an important role in the formation of the Slovak nation. The article details the complex history of the formation of the archival Rossica collection in the archive of Martin and all stages of its emergence and development. The archive of the Slovak Matica has undergone significant organizational changes over a century and a half of its existence. It is currently called the Archives of Literature and Art of the Slovak National Library (ALI SNB). The authors systematize the archival Rossica in the ALI SNB by the nature of documents and problems. The article provides an overview of the main groups of archival collections and fonds that preserve the historical evidence on nature and intensity of the Slovak-Russian contacts in the 19th century. An analysis of archival materials has shown that these relations developed mainly at the level of personal contacts between Slovak and Russian scientists, writers, and public figures. The authors of the article conclude that the Rossica in the archives of Slovakia still remains an incompletely developed topic for researchers, primarily for Russian ones. Study of the archival Rossica acquires special significance in modern humanities, as there continues a revision of previous assessments of historical events, facts, and actions of national movements leaders.
Evacuation in the Regional Dimension: Publication of Documents from the Chelyabinsk Archives Сommemorating the 75th Anniversary of the Victory
Authors:   Chelyabinsk State University, Chelyabinsk, Russian Federation, Bakanov Sergei A.
Published: June 2021

Documents collection “The Way to Victory: Evacuation of Industrial Enterprises to the Chelyabinsk Region in the Days of the Great Patriotic War of 1941–45” has been prepared by the United State Archive of the Chelyabinsk Region to commemorate the 75th anniversary of the Great Victory. The review notes that the team of authors has managed to establish the number of enterprises evacuated to the Chelyabinsk region. Published documents allow us to count 329 enterprises under the jurisdiction of 27 People’s Commissariats. Of greatest value are full-text publications of 66 declassified documents, all fairly voluminous, that reveal most diverse aspects of the evacuation process in office memoranda, letters requesting assistance in launching production, materials of the party and state inspections revealing difficulties of the evacuation process for both arriving and receiving side. The documents show problems that were to be faced and measures that were taken. The published documents are presented as colour scanned copies, allowing the readers to study the content of documents, as well as their other attributes: signatures, marginalia, resolutions, etc. (and even colour of the paper or formatting of the printed forms). All this transmits unique spirit of the era to the reader. The reviewed documents collection of the United State Archive of the Chelyabinsk Region is an example of passionate attitude and professionalism, it makes declassified archival materials on tragic pages of the Russian history available to researchers and wide audience and solves an urgent scientific problem by filling the gap in the historiography. At the same time it offers a qualitatively new level of understanding of problems of evacuation and shows military economy in its regional dimension.
Squalius recurvirostris Özuluğ & Freyhof, 2011'in Dactylogyrid Parazit Faunası Üzerine Bir Araştırma
Authors: ELBAY Mehmet Zeynel , ÖZTÜRK Mehmet Oğuz
Published: June 2021

Bu çalışmanın amacı, Düzağaç-Akdeğirmen Baraj Gölü (Afyonkarahisar)’ndeki Squalius recurvirostris'in dactylogyrid parazit türlerini ve bu türlerin anatomik, morfolojik, metrik ve ekolojik özelliklerini tanımlamaktır. Araştırma metodolojisi kapsamında, Squalius recurvirostris örneklerinin deri yüzeyi, yüzgeç ve solungaçları dactylogyrid parazitler bakımından incelendi. Dactylogyrus sp. örneklerinin bazıları etil alkol ortamında muhafaza edilirken bazıları anatomik, morfolojik ve metrik özelliklerinin tanımlanması için daimi preparat yapıldı. Dactylogyrus naviculoides’in enfestasyon yüzdesi %89,4 ve ortalama parazit yoğunluğu 27,1±24,1 dir. Dactylogyrus vistulae için bu değerler sırasıyla %63,6 ve 4,5±2,3 dir. Her iki parazit türü tüm mevsimlerde kaydedildi. Dactylogyrus naviculoides’in yoğunluğu kış döneminde, Dactylogyrus vistulae’nin yoğunluğu ilkbaharda daha baskındı. Balık numuneleri yaş büyüklüğüne göre 5 gruba ayrıldı. Büyük yaş grubundaki balıklarda her iki Dactylogyrus türünün daha yüksek enfestasyona neden olduğu tespit edildi. Diğer yandan, her iki parazit türüne ait enfestasyon değerleri erkek balık bireylerinde dişilere göre daha yüksek değerde kaydedildi: Dactylogyrus naviculoides (%89,4, 27,1±24,1), Dactylogyrus vistulae (%63,6, 4,5±2,3). Sonuç olarak, Düzağaç-Akdeğirmen Baraj Gölü’ndeki Squalius recurvirostris’te 2 dactylogyrid parazit türü belirlenmiştir. Bu parazit türler, Squalius recurvirostris için yeni kayıttır. Böylece ilgili parazit türlerin coğrafik yayılışlarına yeni bir lokalite ve yeni bir konak ilave edilmiştir. Ayrıca, parazit türlerin enfestasyon olguları ekolojik yönden de değerlendirilmiştir.
Aloe Vera Jel İçeceği ile Zenginleştilmiş Probiyotik Yoğurt Üretimi
Authors: SÖKÜT Cansu , BAŞYİĞİT KILIÇ Gülden , BARIN Sultan , ALBAYRAK Aslı
Published: June 2021

Aloe vera (AV) süt, dondurma, şekerleme, sağlık içecekler gibi fonksiyonel gıdalarda kullanılmaktadır. Yapılan bu araştırmada, yoğurt kültürüne probiyotik ve teknolojik özelliklere sahip olan Lactobacillus plantarum AB6-25 suşu, %1, 2,5 ve 5 oranlarında AV jel içeceği ilave edilerek yoğurt üretimi yapılmıştır. Depolamanın 1, 7, 14 ve 21. günlerinde üretilen yoğurtların fizikokimyasal, mikrobiyolojik analizleri ve duyusal değerlendirilmesi yapılmıştır. Analiz sonuçlarına göre; 1.ve 21. günlerde pH değerleri 4,54-4,61 ve 4,34-4,45, yağ değerleri %2,90-3,0 ve %2,85-30, laktik asit cinsinden titrasyon asitliği %0,51-0,58 ve %1,07-1,51, kuru madde %11,32-11,93 ve %10,97-11,47, serum ayrılması %24,67-39,70 ve %29,60-39,11 arasında belirlenmiştir. Araştırma sonucunda tüm gruplar için en yüksek laktik asit bakteri sayımları 21. günde tespit edilmiştir. Duyusal özellik puanlarına bağlı olarak, AV ile üretilen yoğurtlarda 14 gün depolamanın uygun olduğu belirlenmiştir. Fizikokimyasal analiz sonuçları genel olarak değerlendirildiğinde probiyotik yoğurda AV jeli suyu ilavesi ile yoğurdun probiyotik bakteriler için taşıyıcı olarak kullanılabileceği ve %1 ile 5 arasında AV jeli suyu ilavesinin probiyotik yoğurt üretiminde başarıyla kullanılabileceği ortaya konmuştur.
TÜRKİYE’DE YEKDEM İLE DÖVİZ KURU, ELEKTRİK TÜKETİMİ ARASINDAKİ İLİŞKİ (2012.1-2020.2)
Authors: SİNAN Bahadır
Published: June 2021

Bu çalışmada Türkiye’de 2012.1-2020.2 dönemine ilişkin olarak; Yenilenebilir Enerji Kaynaklarını Destekleme Mekanizması aylık gerçekleşen birim fiyatları (YEKDEM) ile aylık toplam elektrik tüketimi ve aylık USD döviz kuru AOF arasındaki ilişki Johansen eş bütünleşme testi Granger nedensellik testi ile araştırılmıştır. Öncelikle, çalışmada durağanlığın belirlenmesi için ADF birim kök testi yapılmıştır. Birim kök testi sonuçlarına göre tüm verilerin birinci farklarında durağan oldukları görülmüştür. Daha sonra seriler arasında uzun dönemli bir ilişkinin varlığı eş-bütünleşme testi ile incelenmiştir. Seriler arasında uzun dönemli bir ilişki bulunmuştur. Son olarak da seriler arasındaki ilişkinin yönü Granger nedensellik testi ile belirlenmiştir. Ampirik bulgular sonucunda; YEKDEM’den elektrik tüketimine doğru doğru bir nedensellik ilişkisi bulunmuştur
Using a Social-Ethical Framework to Evaluate Location-Based Services in an Internet of Things World
Authors: Abbas Roba , Michael Katina , Michael M.G.
Published: June 2021

The idea for an Internet of Things has matured since its inception as a concept in 1999. People today speak openly of a Web of Things and People, and even more broadly of an Internet of Everything. As our relationships become more and more complex and enmeshed, through the use of advanced technologies, we have pondered on ways to simplify flows of communications, to collect meaningful data, and use them to make timely decisions with respect to optimisation and efficiency. At their core, these flows of communications are pathways to registers of interaction, and tell the intricate story of outputs at various units of analysis- things, vehicles, animals, people, organisations, industries, even governments. In this trend toward evidence-based enquiry, data is the enabling force driving the growth of IoT infrastructure. This paper uses the case of location-based services, which are integral to IoT approaches, to demonstrate that new technologies are complex in their effects on society. Fundamental to IoT is the spatial element, and through this capability, the tracking and monitoring of everything, from the smallest nut and bolt, to the largest shipping liner to the mapping of planet earth, and from the whereabouts of the minor to that of the prime minister. How this information is stored, who has access, and what they will do with it, is arguable depending on the stated answers. In this case study of location-based services we concentrate on control and trust, two overarching themes that have been very much neglected, and use the outcomes of this research to inform the development of a socio-ethical conceptual framework that can be applied to minimise the unintended negative consequences of advanced technologies. We posit it is not enough to claim objectivity through information ethics approaches alone, and present instead a socio-ethical impact framework. Sociality therefore binds together that higher ideal of praxis where the living thing (e.g. human) is the central and most valued actor of a system.
The Nature and Accessibility of E-Government in Sub Saharan Africa
Authors: Ngulube Patrick
Published: June 2021

Electronic government (e-government) is a phenomenon that is linked to the information society and the advantages associated with it. E-government allows government departments to network and integrate their services using information and communication technologies (ICTs) in order to improve service delivery and enhance the relationship between the government and the public. The major ingredients of e-government are infrastructure, human resources and information. The reality in Sub Saharan Africa (SSA) is that all these ingredients are insufficient. The ICT infrastructure is not widely available to rural populations. In most cases, both government officials and the people who may want to use government services online lack basic skills. Government information is not properly organized as records management systems in many countries are collapsing.
Manifestations and implications of an augmented urban life
Authors: Firmino Rodrigo , Duarte Fabio
Published: June 2021

In this paper we investigate how the shift to a completely urban global world intertwined by ubiquitous and mobile ICTs changes the ontological meaning of space, and how the use of these technologies challenges the social and political construction of territories and the cultural appropriation of places. Our approach to this conceptual debate will focus on what we consider to be more direct and tangible implications of this augmentation of urban life. Three types of manifestations will represent the core of the discussions presented here, both through theoretical approaches and analytical descriptions of some examples: surveillance artefacts which permeate our daily life and allow a hypothetical total control of space; locative media that gives us the freedom of spatial mobility and the possibility of creating and recreating places; and the global networks of signs, values and ideologies, which break down the social and political boundaries of territories.
Information Ethics in a Different Voice, Or: Back to the Drawing Board of Intercultural Information Ethics.
Authors: Weber Karsten
Published: June 2021

Within the information ethics community one can observe a mainstream discussion including some fundamental presuppositions which appear to be something like dogmas. The most important of these dogmas seems to be that we must create a new kind of intercultural information ethics. It is often argued that (comparative) studies have shown that different cultures, according to culturally determined norms and values, react in different ways to the impacts of ICT; it is stressed that an intercultural information ethics must take these cultural particularities into account. But in the paper at hand it shall be argued that taking cultural differences into consideration does not create a necessity to invent a new intercultural information ethics. On the contrary it shall be claimed that we already know several intercultural ethics which only have to be applied to ICT and its impact to societies.
Social media: The new opiate of the masses?
Authors: Khazraee Emad , Unsworth Kristene
Published: June 2021

This study argues that the relationship between new information and communication technologies (ICT) and social movements should be done from a socio-technical perspective. In the present study, we broaden this perspective and use Actor-Network Theory (ANT) to better understand the relationship between social media (as a new ICT) and social movements. From the perspective of ANT, one cannot define unidirectional causal relationships between the social and the technical. New technical developments create opportunities to change the social order and in the meantime technologies are transformed and are adapted differently by humans. Preliminary findings examining the use of Facebook among Iranians, applying the aforementioned relational sociology perspective based on ANT, suggest that the role new ICTs play in social movements and social change is not linear and constant through time. The impact of new ICTs might be different considering different stages in a social movement timeline. In fact, there may be a stage where ICTs actually function as a sort of pressurerelease value, allowing individuals to remain content within the status quo rather than choosing to pursue more radical goals. We propose the utilization of the two concepts of “durability” and “mobility”, from ANT literature, to better understand the potential of online social networking technologies for social change. We suggest three different time stages as short (emergence of movements), mid (development or decline of movements), and late stage (the movement’s continuation, survival or disappearance through time) to be considered in the study of relationship between social media and social change.
The Vital Non-Action of Occupation, Offline and Online
Authors: Wittkower D E
Published: June 2021

Using an Arendtian framework, I argue that we can understand distinctive and effective elements of the #OWS movements as forms of non-action related to prior strategies of non-violence, the propaganda of the deed, and coalitions of affinity rather than identity. This understanding allows us to see that, while the use of social media in the movement does not provide the same affordances for building and maintaining power as physical occupation, and while online community clearly cannot substitute for physical community in many relevant and consequential ways, Facebook does nonetheless provide a platform well suited to maintaining power through these distinctive forms of non-action.
Esse est indicato in Google: Ethical and Political Issues in Search Engines
Authors: Hinman Lawrence M
Published: June 2021

Search engines play an increasingly pivotal role in the distribution and eventual construction of knowledge, yet they are largely unnoticed, their procedures are opaque, and they are almost completely devoid of independent oversight. In this paper the author examines three areas in which we encounter difficult and persistent ethical issues in search engine technology: The problem of algorithm and the lack of transparency of the search process, the problem of privacy with regards of the possibility to monitor search histories, and the problem of local censorship. The given findings lead to the conclusion that the development of structures of accountability for search engines is an important task for the near future.
Ethical and technical challenges of AI in tackling hate speech
Authors: Cortiz Diogo , Zubiaga Arkaitz
Published: June 2021

In this paper, we discuss some of the ethical and technical challenges of using Artificial Intelligence for online content moderation. As a case study, we used an AI model developed to detect hate speech on social networks, a concept for which varying definitions are given in the scientific literature and consensus is lacking. We argue that while AI can play a central role in dealing with information overload on social media, it could cause risks of violating freedom of expression (if the project is not well conducted). We present some ethical and technical challenges involved in the entire pipeline of an AI project - from data collection to model evaluation - that hinder the large-scale use of hate speech detection algorithms. Finally, we argue that AI can assist with the detection of hate speech in social media, provided that the final judgment about the content has to be made through a process with human involvement.
Artificial Moral Patients: Mentality, Intentionality, and Systematicity
Authors: Nye Howard , Yoldas Tugba
Published: June 2021

In this paper, we defend three claims about what it will take for an AI system to be a basic moral patient to whom we can owe duties of non-maleficence not to harm her and duties of beneficence to benefit her: (1) Moral patients are mental patients; (2) Mental patients are true intentional systems; and (3) True intentional systems are systematically flexible. We suggest that we should be particularly alert to the possibility of such systematically flexible true intentional systems developing in the areas of exploratory robots and artificial personal assistants. Finally, we argue that in light of our failure to respect the well-being of existing biological moral patients and worries about our limited resources, there are compelling moral reasons to treat artificial moral patiency as something to be avoided at least for now.
Rancang Bangun Pengukur Suhu Tubuh Dengan Multi Sensor Untuk Mencegah Penyebaran Covid-19
Authors: Helmy Yudhistira Putra  , Utomo Budiyanto
Published: June 2021

During the COVID-19 pandemic, the price of preventive equipment such as masks and hand sanitizers has increased significantly. Likewise, thermometers are experiencing an increase and scarcity, this tool is also sought after by many companies for screening employees and guests before entering the building to detect body temperatures that are suspected of being positive for COVID-19. The use of a thermometer operated by humans is very risky because dealing directly with people who could be ODP (People Under Monitoring/Suscpected ) or even positive for COVID-19, therefore we need tools for automatic body temperature screening and do not involve humans for the examination. This research uses the MLX-90614 body temperature sensor equipped with an ultrasonic support sensor to detect movement and measure the distance between the forehead and the temperature sensor so that the body heat measurement works optimally, and a 16x2 LCD to display the temperature measurement results. If the measured body temperature is more than 37.5 ° C degrees Celsius then the buzzer will turn on and the selenoid door lock will not open and will send a notification to the Telegram messaging application. The final result obtained is the formation of a prototype device for measuring body temperature automatically without the need to involve humans in measuring body temperature to control people who want to enter the building so as to reduce the risk of COVID-19 transmission
Klasifikasi Data Aktivitas Setelah Joging Menggunakan Fuzzy Logic
Authors: M. Deta Gian Faiz  , Andrian Rakhmatsyah  , Yasirandi Rahmat
Published: June 2021

One of the routine activities that cause a lot of body fluids is jogging. Research shows that excessive jogging can disrupt the balance of body fluids so that you tire quickly in the long run. As a result, the body releases too much fluid. This makes someone forget or underestimate the need for fluids in the body. In this study, a detection system for body temperature, ambient temperature and heart rate was built for the classification of dehydration in the body to maintain fluid stability in the body. The system is built using the Pulse Sensor, Mlx90614, OpenWeatherAPI and the Android Platform. This study uses the Mamdani Fuzzy Logic method to determine the classification of user dehydration. The results of the research analysis contained a calibration test of the MLX90614 sensor against the Thermogun with an Error Rate value of 2.01% and an RMSE value of 0.9. Testing the Pulse Sensor against the Oximeter produces an Error Rate value of 1.54% and an RMSE value of 0.7. There is a difference in the difference in Deffuzification values ​​due to differences in the fixed points for each library. Matlab fixed point with a value behind the three digit point, 16 digit Fuzzy Sci-kit and the Builded System using a 15 digit point value.
Support Vector Machine to Predict Electricity Consumption in the Energy Management Laboratory
Authors: Zamhuri Fuadi Azam , Irsyad Nashirul Haq  , Edi Leksono
Published: June 2021

Predicted electricity consumption is needed to perform energy management. Electricity consumption prediction is also very important in the development of intelligent power grids and advanced electrification network information. we implement a Support Vector Machine (SVM) to predict electrical loads and results compared to measurable electrical loads. Laboratory electrical loads have their own characteristics when compared to residential, commercial, or industrial, we use electrical load data in energy management laboratories to be used to be predicted. C and Gamma as searchable parameters use GridSearchCV to get optimal SVM input parameters. Our prediction data is compared to measurement data and is searched for accuracy based on RMSE (Root Square Mean Error), MAE (Mean Absolute Error) and MSE (Mean Squared Error) values. Based on this we get the optimal parameter values C 1e6 and Gamma 2.97e-07, with the result RSME (Root Square Mean Error) ; 0.37, MAE (meaning absolute error); 0.21 and MSE (Mean Squared Error); 0.14.
Optimalisasi Penyaluran Bantuan Pemerintah Untuk UMKM Menggunakan Metode Fuzzy C-Means
Authors: Anggara Cahya Putra  , Dwi Hartomo Kristoko
Published: June 2021

Indonesian MSMEs were very seriously affected by the Covid-19 pandemic, which caused the Indonesian economy has experienced deceleration. The Indonesian government has taken several steps to keep economic activity running, such as direct cash assistance for micro-scale businesses but is having problems in obtaining real data so that assistance is not on target, the clustering method using Fuzzy C-Means (FCM) is used for grouping MSME data. FCM allows the data to be a member of all clusters in which each cluster has a membership degree value of 0-1. The data used is from the website of the Sleman Regency Cooperatives and SME Service. FCM classifies MSME data based on the attributes of revenue, assets and number of workers. This research resulted in grouping MSME data into 3 priority levels for MSMEs in obtaining assistance, namely high priority, medium priority, and low priority. The results of this study show that the number of MSMEs with high priority is 23,023 MSMEs, medium priority is 9,774 MSMEs and low priority is 3,159 MSMEs. The validation test of the FCM method uses the Partition Coefficient Index (PCI) which has a value of 0.826 which means that value good because it is close to 1.
Pemodelan Topik dengan LDA untuk Temu Kembali Informasi dalam Rekomendasi Tugas Akhir
Authors: Purwitasari Diana , Aida Muflichah  , Novrindah Alvi Hasanah  , Agus Zainal Arifin
Published: June 2021

Undergraduate thesis as the final project, or in Indonesian called as Tugas Akhir, for each undergraduate student is a pre-requisite before student graduation and the successfulness in finishing the project becomes as one of learning outcomes among others. Determining the topic of the final project according to the ability of students is an important thing. One strategy to decide the topic is reading some literatures but it takes up more time. There is a need for a recommendation system to help students in determining the topic according to their abilities or subject understanding which is based on their academic transcripts. This study focused on a system for final project topic recommendations based on evaluating competencies in previous academic transcripts of graduated students. Collected data of previous final projects, namely titles and abstracts weighted by term occurences of TF-IDF (term frequency–inverse document frequency) and grouped by using K-Means Clustering. From each cluster result, we prepared candidates for recommended topics using Latent Dirichlet Allocation (LDA) with Gibbs Sampling that focusing on the word distribution of each topic in the cluster. Some evaluations were performed to evaluate the optimal cluster number, topic number and then made more thorough exploration on the recommendation results. Our experiments showed that the proposed system could recommend final project topic ideas based on student competence represented in their academic transcripts.
Implementasi Teknologi Blockchain Proof of Work Pada Penelusuran Supply Chain Produk Komputer
Authors: Annisya  , Haryatmi Emy
Published: June 2021

In recent times, the supply chain has developed into a large ecosystem. Various products moving from party to party require cooperation between stakeholders in managing the data generated. The problem is that every company has its own transaction records that can be inconsistent and their storage is centralized and not integrated between companies. This makes transaction records easy to falsify. Efficient data management is needed from the producer to the store so that consumers can trust the product. Therefore, the authors designed a product tracking system using blockchain by implementing proof of work (PoW) as the consensus algorithm, SHA-3 256 as data security, Mongo database as cloud-based data storage and QR Code as the output. As a result, transaction data from producers, distributors to retail stores are stored completely in MongoDB which is a cloud-based database, then the resulting QR Code can be used to view details of producers, distributors to retail stores that sell them. The simulation and trial results show the product tracing system design is successful as expected.
Deteksi Masker Pencegahan Covid19 Menggunakan Convolutional Neural Network Berbasis Android
Authors: Nyoman Purnama , Putu Kusuma Negara
Published: June 2021

Masks are an important part of preventing Covid19 disease.The World Health Organization (WHO) have also recommended  the community use masks when doing activities in public areas. There are many types of masks that are used to cover the nose and mouth.  In general, there are about 3 types of masks that are commonly used by the public today, namely medical masks, N95 and cloth masks. This study aims to detect the type of mask used by the community. So that it can make easier for the government to apply discipline in COVID-19 health protocol. The detection method used in this study is a convolutional neural network (CNN). The first step is acquisition of knowledge, which first collects the types of masks on the market, followed by the representation of that knowledge before being modeled into a mathematical calculation formula, which will then be processed using the Convolutional Neural Network method. The system will be carried out by analyzing the recall value, its precision and accuracy.Testing process is carried out on an Android-based device  and the mobilenetV2 framework. In this study, the accuracy value is 90% using ADAM Optimization and 80 % using Gradient descent optimization.
Prediksi Indeks BEI dengan Ensemble Convolutional Neural Network dan Long Short-Term Memory
Authors: Widiputra Harya , Adele Mailangkay  , Elliana Gautama
Published: June 2021

The Indonesian Stock Exchange (IDX) stock market index is one of the main indicators commonly used as a reference for national economic conditions. The value of the stock market index is often being used by investment companies and individual investors to help making investment decisions. Therefore, the ability to predict the stock market index value is a critical need. In the fields of statistics and probability theory as well as machine learning, various methods have been developed to predict the value of the stock market index with a good accuracy. However, previous research results have found that no one method is superior to other methods. This study proposes an ensemble model based on deep learning architecture, namely Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM), called the CNN-LSTM. To be able to predict financial time series data, CNN-LSTM takes feature from CNN for extraction of important features from time series data, which are then integrated with LSTM feature that is reliable in processing time series data. Results of experiments on the proposed CNN-LSTM model confirm that the hybrid model effectively provides better predictive accuracy than the stand-alone time series data forecasting models, such as CNN and LSTM.
Identifying Emotion on Indonesian Tweets using Convolutional Neural Networks
Authors: Naufal Hilmiaji  , Kemas Muslim Lhaksmana  , Mahendra Dwifebri Purbolaksono
Published: June 2021

especially with the advancement of deep learning methods for text classification. Despite some effort to identify emotion on Indonesian tweets, its performance evaluation results have not achieved acceptable numbers. To solve this problem, this paper implements a classification model using a convolutional neural network (CNN), which has demonstrated expected performance in text classification. To easily compare with the previous research, this classification is performed on the same dataset, which consists of 4,403 tweets in Indonesian that were labeled using five different emotion classes: anger, fear, joy, love, and sadness. The performance evaluation results achieve the precision, recall, and F1-score at respectively 90.1%, 90.3%, and 90.2%, while the highest accuracy achieves 89.8%. These results outperform previous research that classifies the same classification on the same dataset.
K-prototypes Algorithm for Clustering Schools Based on The Student Admission Data in IPB University
Authors: Sulastri Sri , Usman Lismayani , Syafitri Utami Dyah
Published: June 2021

The new student admissions was regularly held every year by all grades of education, including in IPB University. Since 2013, IPB University has a track record of every school that has succeeded in sending their graduates, even until they successfully completed their education at IPB University. It was recorded that there were 5,345 schools that included in the data. It was necessary to making every school in the data into the clusters, so IPB could see which schools were classified as good or not good in terms of sending their graduates to continue their education at IPB based on the characteristics of the clusters. This study using the k-prototypes algorithm because it can be used on the data that consisting of categorical and numerical data (mixed type data). The k-prototypes algorithm could maintain the efficiency of the k-means algorithm in handling large data sizes, but eliminated the limitations of k-means. The results showed that the optimal number of clusters in this study were four clusters. The fourth cluster (421 school members) was the best cluster related to the student admission at IPB University. On the other hand, the third cluster (391 school members) was the worst cluster in this study.