bluuebunny/crossref_metadata_2025 huggingface dataset:
ANTIADHESION FLUOROCARBON COATINGS WITH INDUCED SURFACE CHARGE FOR PROTECTION AGAINST BIODEGRADATION
Authors: Elinson Vera M. , Shchur Pavel A. , Rusanova E.V. , Shchelkova V.V. 
Published: July 2023

This paper analyzes the results of studying the antimicrobial properties of nanostructured fluorocarbon films deposited on polymers by ion-plasma technology. For the first time, the dependence of the surface charge and antimicrobial properties over time was established. As the negative charge drains, the number of colonies of the studied bacteria and fungi increases. Fluorocarbon films were formed using a two-component gas mixture (CF4 + C6H12) with different ratios of components. Antimicrobial activity on fluorocarbon coatings is maintained for 12 months.
SELECTION OF DUST PARTICLES IN A STRIATION IN GLOW DISCHARGE IN INERT GASES WITH DIFFERENT IONIZATION POTENTIALS
Authors: Novikov Leontiy A. , Dzlieva E.S. , Golubev M.S. , Pavlov S.I. , Gasilov M.A. , Karasev V.Yu.
Published: July 2023

In this study, an experimental investigation of the effects of dust particle selection was carried out, in which the type of plasma-forming gas was varied. Using working gases with different ionization potentials, plasma filters (plasma-dust traps) capable of holding dust particles from 3 to 6.3 µm in size were obtained. The correspondence between the main parameters of the discharge (the longitudinal field and the electron temperature) and the size of the levitated particles was obtained from the numerical estimates. From the results obtained in the study, it was possible to create plasma filters with specified and finely tuned particle parameters. This makes it possible to create dusty plasmas with particles of required sizes.
FLUID FLOW AND HEAT TRANSFER CHARACTERISTICS OF A CENTERED-WICK HEAT PIPE WITH ADDITIONAL WORKING FLUID: EXPERIMENTAL STUDY WITH VISUALIZATION
Authors: Koito Yasushi , Chen Chong , Kakizoe Ryosuke , Fukushima Akira
Published: July 2023

This article describes the experimental study of the centered-wick heat pipe with additional working fluid. A semi-transparent heat pipe is employed, and the heat transfer experiments are conducted in three orientation modes: horizontal, vertical, and sideways. The wick structure is a sintered copper powder, and the working fluid is water. The heat pipe has a small gap between the wick structure and the container wall. In each orientation mode, a condenser section of the heat pipe is water-cooled
with a cooling jacket, and an evaporator section is heated with a heater. Fluid-flow and phase-change phenomena in the heat pipe are captured by using a video camera, and the temporal changes in the temperatures of the heat pipe are obtained by using thermocouples. Due to the additional working fluid, liquid slugs are found in vapor flow channels. The liquid slugs can be categorized into two
types: a dynamic liquid slug and a static liquid slug. The experimental results demonstrate that the dynamic and static liquid slugs are distributed more effectively in the horizontal orientation mode. Thus, the thermal resistance of the heat pipe tends to be smaller and the maximum heat input to the heat pipe is larger in the horizontal orientation mode than in the other two orientation modes. The
experimental results also confirm that the small gap is effective in the horizontal orientation mode.
The additional working fluid is stored in the gap, which increases the thermal performance of the heat pipe.
The built-environment sector needs a whole-life emissions metric to achieve net-zero goals
Authors: Hill Stephen
Published: July 2023

Stephen Hill of Arup, voted Building Performance Engineer of the year at the 2023 CIBSE Building Performance Awards, says a single whole-life greenhouse gas emissions metric is needed to help civil engineers and other built-environment professionals achieve their net-zero emissions targets.
Substantive bias and variation in the acquisition of vowel harmony
Authors: Huang Tingyu , Do Youngah
Published: July 2023

This study investigates substantive bias, a phenomenon wherein learners exhibit a preference for phonetically motivated patterns in language acquisition. The study presents evidence that variable input, rather than categorical input, can activate substantive bias. Native speakers of Hong Kong Cantonese were randomly assigned to categorical or variable training conditions for vowel backness harmony or disharmony, or to a no-training control condition. Results indicate that participants in the categorical and control conditions did not exhibit a bias towards either pattern. However, participants in the variable conditions displayed a bias towards vowel harmony, suggesting that input variability can strengthen the effect of substantive bias. These findings contribute to our comprehension of the role of input variability in phonological learning and the mechanisms involved in the acquisition of phonetically motivated and unmotivated phonological patterns.
America’s Deserter: Forms of Racialised Mistreatment and Escaping the Need to Escape in Percival Everett’s American Desert
Authors: Kowalik George
Published: July 2023

In this article, I consider the protagonist of Percival Everett’s American Desert (2004) – Theodore “Ted” Street – and his treatment as a short-lived cultural phenomenon after inexplicably coming back from the dead. I read Ted’s experiences alongside Saidiya Hartman and Fred Moten’s ideas on the impacts of racial inequality on Black experience and writing. I discuss Hartman’s work on the “afterlife of slavery” in “The Belly of the World: A Note on Black Women’s Labors” (2016), and Moten’s Black and Blur: consent not to be a single being (2017), where he discusses the “predication of blackness” as “immersion” in the aftereffects of the slave trade.American Desert’s episodic narrative problematises Ted’s efforts to escape mistreatment by persistently placing obstacles in front of them. Ted’s afterlife leads to different forms of mistreatment, including unwanted media attention, harassment towards him and his family, and being held captive in two different settings, which are all intensified because Everett invites us to read his character as AfricanAmerican. In line with Hartman and Moten’s work, as the novel progresses Ted realises that to end his cycle of futile escapes he must escape the need to escape, which is a necessary response to the racialised mistreatment he is subjected to.
Eu, tu, ele, ela, nós e o narrador: conversas sobre leitura a partir de Percy Jackson
Authors: Müller Schons Vanderléia , Volmer Lovani , Lorenz Martins Rosemari
Published: July 2023

Este estudo insere-se no campo da leitura literária e pretende lançar um olhar à atuação do narrador como um mediador simbólico de leitura e, assim, responsável também por aproximar ou distanciar o leitor da obra. Nessa perspectiva, vê-se a literatura como meio de instrumentalização de leitores a fim de torná-los críticos e autores conscientes das reflexões necessárias para que, de forma livre e crítica, tomem suas decisões frente ao contexto em que estão inseridos. Assim sendo, com base no aporte teórico de estudiosos da leitura literária, da narrativa, do narrador e da mediação, analisamos o livro Percy Jackson e os deuses gregos, de Rick Riordan, e apresentamos uma proposta de mediação leitora realizada com adolescentes com idade entre 11 e 13 anos, em uma escola comunitária gaúcha. Entre os resultados obtidos, pode-se destacar a importância do processo descrito no estudo para a formação do perfil leitor dos estudantes, contribuindo com a prática docente e a seleção de narrativas pertinentes à proposta.
Viralizou: uma análise linguística pragmática de Fake News sobre a pandemia no Brasil
Authors: Gonçalves Leal Fernanda
Published: July 2023

Diante um perigo tão inesperado e desconhecido quanto a pandemia de COVID-19, o Brasil chamou a atenção pela disseminação expressiva de informações falsas sobre a doença. A desinformação não é um fenômeno recente, mas atingiu grandes proporções nesse período. Nesse sentido, este artigo analisa fake news sobre a pandemia no Brasil a partir da pragmática de Peirce e de Grice. Esses autores contribuem com conceitos como hábito e crença, implicaturas e máximas conversacionais, respectivamente. Ainda, o termo fake news é caracterizado a partir de Wardle e o conceito de pós-verdade é explorado em D’Ancona. O objetivo da pesquisa consistiu em refletir sobre como tais conceitos estão relacionados ao processo de convencimento das notícias falsas sobre a pandemia. As metodologias adotadas foram a pesquisa bibliográfica e a análise textual, de abordagem qualitativa. O corpus, coletado na Agência Lupa, compreende quatro informações veiculadas no Brasil entre abril de 2020 e abril de 2021 no aplicativo Whatsapp. Os resultados mostraram que as fake news tendem a impactar aqueles que possuem predisposição para acreditar em seu conteúdo, além de utilizar das máximas conversacionais e implicaturas de modo a ludibriar o leitor, levando-o a conclusões e crenças falsas.
Metáforas sobre a maternidade: uma análise cognitivo-discursiva sobre acórdãos proferidos em recursos sobre a destituição do poder familiar materno
Authors: Carneiro Monica , Moniz Costa Ana Lourena , Chai Cassius Guimarães Chai
Published: July 2023

de. Este artigo propõe-se a uma análise do uso feito, em processos judiciais, das leis sobre o exercício da maternidade, por meio da identificação das metáforas sobre as mães em decisões proferidas em graus de recurso em ações de destituição do poder familiar. Utilizou-se não só os estudos seminais de Lakoff e Johnson (2002), mas também a Abordagem da Análise do Discurso à Luz da Metáfora (Cameron, 1999; CAMERON et al., 2009; CAMERON, LARSEN-FREEMAN, 2007), para identificar as metáforas sobre a maternidade, com a concepção de que a teoria da argumentação jurídica deve ser construída interdisciplinarmente, com o auxílio dos estudos sobre o discurso desenvolvidos pela linguística. Tal abordagem alinha-se à perspectiva interdisciplinar nas ciências humanas e sociais (PEDERSON, 2016). As metáforas identificadas indicaram o uso de noções do senso comum sobre a maternidade como fundamento da destituição do poder familiar materno, contrariando os princípios constitucionais da igualdade e da não discriminação.
EMOÇÕES DE USUÁRIOS FRENTE A VÍDEOS EDUCACIONAIS
Authors: Vasconcellos da Luz Vitória , Dutra Piovesan Sandra , Brasil Irala Valesca
Published: July 2023

Nas últimas décadas, tem sido notável o crescimento de práticas de educação online, voltadas à promoção de diferentes conhecimentos e também à capacitação profissional. Nesse cenário, os cursos online, massivos e abertos (conhecidos pela sigla MOOCs) passaram a ter maior visibilidade. Nessa modalidade, há centralidade, no design pedagógico, da presença de vídeos educacionais. Por outro lado, existem estudos que caracterizam como fundamental o papel das emoções, capazes de acelerar ou perturbar o processo de aprendizagem. Diante disso, este estudo visa analisar as percepções e emoções dos usuários ao assistirem vídeos disponibilizados em um MOOC, visando a definição de orientações para quem pretende desenvolver vídeos para MOOCs. A pesquisa se deu em quatro etapas, sendo a primeira de revisão bibliográfica e definição do método para inferência das emoções. O método escolhido foi a análise das expressões faciais, através da utilização da ferramenta online EZ-MMLA ToolKit, que realiza a captura da imagem e definição das emoções, considerando as emoções básicas e a aplicação de um questionário adaptado do AEQ (Achievement Emotions Questionnaire), que visa avaliar as emoções vivenciadas durante tarefas educacionais. Posteriormente, foi realizada a avaliação das emoções e percepção dos usuários ao assistir os vídeos. A terceira etapa foi a análise dos dados e, por fim, a definição de orientações sobre a criação de vídeos para MOOCs. Em termos gerais, foi possível definir que o vídeo melhor aceito, entre os apresentados, foi o que mostra um tutorial e o menos aceito foi o que apresenta narração por voz sintética. Outras observações apresentadas pelas percepções dos participantes quanto aos vídeos analisados enfatizam a necessidade de um número maior de exemplos com imagens, menor quantidade de informação (vídeos de duração curta), retirar fundo musical e, como ponto positivo, a presença de avatar e a postura de quem passa as informações.
Aufklärungs- und Beratungspflicht im Entlassmanagement
Authors: Holtstraeter Reinhard
Published: July 2023

Versicherte haben Anspruch auf ein Entlassmanagement des Krankenhauses zur Vermeidung von Problemen beim Übergang in die verschiedenen Versorgungsbereiche. „Drehtüreffekte“ sollen verhindert und eine lückenlose Versorgung gewährleistet werden. Das Entlassmanagement umfasst den gesamten Anschlussversorgungsbedarf der Versicherten. Sofern Pflegebedürftigkeit festgestellt ist oder sich abzeichnet, gehört dazu gemäß § 7 Abs. 2 S. 2 SGB XI auch die unverzügliche Benachrichtigung der zuständigen Pflegekasse.
Leitfaden Berufskunde und Tätigkeitsanalyse
Authors:   Institut für Neurologisch-Psychiatrische Begutachtung Bamberg (INPB), Grömer Teja W.
Published: July 2023

Die Autorinnen und Autoren stellen einen Leitfaden für die Begutachtung in Fragen der Berufskunde und Tätigkeitsanalyse vor. Dabei werden wissenschaftliche Grundlagen zu Berufen beschrieben, bevor die Erarbeitung von Berufsprofilen und Tätigkeitsanalysen im Rahmen der Begutachtung nach arbeitswissenschaftlichen Grundsätzen dargelegt wird. Die Analytik von körperlichen und psychischen Anforderungen nach Standards (Megaphys, Mini-ICFAPP-Work) wird beschrieben.
Radical Duality Ⅳ
Authors: Oda Masafumi
Published: July 2023

"Radical Duality" is a practical approach based on my own ontology beyond arguments of “eternal return” (Deleuze) and speculative realism. In this ontology, I find the philosophical idea of “the Time after that” an extremely creative concept of time, a concept that is emblematic of capitalism’s dynamism. Within this artistic practice, then, three elements, “Media,” “Theme,” and “Method” define creative acts, thus correlating to each other. Any medium used for creative activities is a variable (in this piece, just sound). “Method” is a factor which strongly describes the characteristics of a creator. This, in turn, poses questions about relations. “Method” determines the relations between media, and “Media” change themselves according to “how these media relate to each other,” so every artist should think about “what the meaning of the relating is.”For myself, the relation is “a multiplicity of radical duality which consists of the discrete and the continuous.” For this piece, I first made a patch with MAX/MSP. In this patch, then, I created two primitive faders ― “the discrete” and “the continuous” ―, whose values affect the whole sound. Additionally, I made four more faders ― “continuation of discreteness”, “discreteness of continuation”, “continuation of continuation”, and “discreteness of discreteness” ― whose values change various parameters of this complex patch. Also, I quoted Franz Schubert’s 7th symphony and JS Bach's “Dona nobis pacem” for expressing a “bottomless void” as "Theme", where the story progresses from hardship to relief. Since “Radical Duality” treats media as variables, those variables do not have to be limited to music. We can treat visuals, concepts, digital content, bodies, photos and so on as media, then change these forms completely, defining new relations each time.
Tooth Necklace
Authors: Jackson Stephen Ryan
Published: July 2023

Tooth Necklace takes inspiration in the act of consumption (both metaphorical and literal). Therhythms and timbres are taken from transcribing source recordings of chewing and swallowing andthe resultant texture is orchestrated "hocket-like" throughout the ensemble. The unrelenting nature ofthis music creates this image in my mind where the ensemble functions as some imaginary creature orbeing that is consuming the audience.
Mathematics Identity of Prospective Mathematics Teachers: Content Analysis of Open-Ended Survey Questions
Authors: KURNİAWATİ Annisa Dwi , JUNIATI Dwi , ABADİ Abadi
Published: July 2023

Many problems faced by mathematics learners both at the school and college levels have occurred so far. Mathematics education students involved in mathematics daily also face various problems, be it problems related to cognitive and affective abilities. Problems such as the emergence of mathematical anxiety, negative self-perception of mathematics, lack of mathematical competence, and many other problems have become the recent focus in mathematics education research. So, how do mathematics education students, especially prospective mathematics teachers, view themselves as related to mathematics? What is their mathematical identity? This study aims to determine the mathematics identity possessed by prospective mathematics teachers. To find out the mathematics identity of prospective mathematics teachers, a descriptive design utilizing a survey with five open-ended questions was asked. Demographic data were analyzed using descriptive frequencies, while the five open-ended questions were analyzed using summative content analysis to analyze free-text responses from 225 prospective mathematics teachers. Free-text responses contain answers to five questions in each component of the mathematical identity obtained from disseminating questions through google forms. We obtained the results that prospective mathematics teachers generally have a positive mathematical identity, but some components need improvement. However, it was also found that the results were quite surprising concerning the mathematical identity of the prospective mathematics teacher. A complete explanation will be discussed in this article.
Exploring General Education Teachers’ Perceptions of Pupils with Learning Difficulties: A Qualitative Approach
Authors: MAVROPALİAS Tryfon , LİTHOXOİDOU Angeliki , TSEKA Niki
Published: July 2023

Pupils with learning difficulties attending general classes face a plethora of thorny situations both during their learning processes and socialization. General education teachers are to support and actively engage pupils with learning difficulties in classroom settings by employing a range of teaching strategies, while they, sometimes, face difficulties to this end. The qualitative research presented in this article aims to explore general education teachers’ perceptions regarding pupils with learning difficulties. Under this rationale, 21 General education teachers participated in semi-structured interviews, focusing on their perceptions regarding education and treatment of learning difficulties. The study data suggest that participants recognize certain features as far as it concerns the causes of learning difficulties and highlight their potential actions during the teaching process even though they sometimes feel unprepared to facilitate this aim. They, also, emphasize the need for communication between all school agents as well as appropriate teaching means and infrastructure as determining factors for their educational work when it comes to pupils with learning difficulties. Further, implications are offered for the necessary actions that need to be taken for General education teachers’ better preparation and support, namely a scientific network of psychologists and school counselors as well as the need for in-service professional development.
Antimicrobial prescription pattern in the Deido health district, Douala, Cameroon
Authors: Charles Njumkeng , Elvis T Amin , Prudence Tatiana Nti Mvilongo , Denis Zofou , Jane Francis KT Akoachere , Patrick A Njukeng
Published: July 2023

Inappropriate antimicrobial prescriptions are among the highest contributing factors to Antimicrobial Resistance (AMR). Most low and middle-income (LMICS) countries with high AMR burdens like Cameroon, seldom document information on prescription patterns, whereas this information is crucial in addressing inappropriate antimicrobial prescriptions. This study was therefore designed to elucidate antimicrobial prescription patterns in order to tailor interventions to mitigate AMR in Cameroon. The study adopted a multicentre cross-sectional design. Information on antimicrobial prescriptions was collected from four hospitals within the Deido Health District, between October 2019 and March 2020. Of the 1398 participants that were enrolled in the study, the most presented age group were participants aged 15-45 years 913(65.3%) and prescriptions were higher amongst females (923,53.6%). The highest number of antimicrobial prescriptions was made in the outpatient department 592(42.3%) followed by the pediatric unit, 344(24.6%). Most of the prescriptions were for patients with respiratory tract infections 436 (31.2%), followed by those with digestive tract infections 248 (17.7%). The most frequently prescribed class of drugs were the Penicillins 690 (40.3%, 37.8 – 42.6), with Amoxicillin clavulanic acid accounting for 27.8% of the overall prescriptions followed by Cephalosporins 392 (22.7, 20.6 – 24.7), with Ceftriaxone being the most prescribed in the class (13.3%). The need for prescription was mainly determined by clinical judgement (61.1%), while only 9.5% of prescriptions were based on antimicrobial sensitivity test. In the struggle to mitigate AMR, there is a great need to exploit data on prescription patterns and develop stewardship programs in order to optimise antimicrobial use in Cameroon. We emphasize in this communication the potential benefits and outcomes of foresight thinking, such as improved resilience, better resource allocation, and effective response strategies.
Visual arts teachers’ mental well-being nurturing gifted students
Authors: YAVUZ Serkan , POLAT Musa , POLAT İsa , ARI Cengiz
Published: July 2023

The purpose of this research is to examine the "mental well-being of Visual Arts Teachers of Science and Art Center in terms of some variables. In this context, mental well-being levels of visual arts teachers were examined in terms of "gender", "seniority", "martial status" and "education level" variables. It is a descriptive study in the survey model, which is one of the quantitative research methods. The population of the research consists of 234 visual art teachers working in Science and Art Centers in the academic year of 2021-2022. The sample of the research consists of 171 visual arts teachers selected by the easily accessible sampling method in the Science and Art Centers. The data of the study were collected with the data collection tool "Warwick-Edinburgh Mental Well-Being Scale" developed by Tennant et al. (2007) and adapted into Turkish by Keldal (2015). have become it has emerged. In addition, it was revealed that visual arts teachers' having different gender, age, marital status and education level did not make a significant difference on mental well-being levels.
Confocal microscopy of intracellular components within NK cells v1
Authors: R Kennedy Philippa
Published: July 2023

NK cells are small cells and their organelles e.g. mitochondria are consequently harder to visualize than those in larger cells. We have found that imaging NK cells that are stretched out across fibronectin-coated coverglass spreads out their organelles across a wider area and makes it easier to resolve differences e.g. their mitochondrial surface area and volume. There are many possible options for chamber slides, fixatives, permeabilization agents and stains. The protocol here gives specific instructions for a particular nuclear and mitochondrial staining, but the principle can be applied to many different types of stain.
Degranulation and cytokine production (functional assay) v2
Authors: R Kennedy Philippa
Published: July 2023

Two primary functions of NK cells - their cytotoxcity and ability to produce cytokines, are measured in a flow-based assay that assesses these responses at the single cell level when NK cells are challenged with tumor cells. Cytotoxicity is not directly measured, instead it is inferred from cytotoxic granlue release. For this reason, this assay should be accompanied by a direct measure of cytotoxicity, such as aTime -lapse killing assay. Cytotoxic granlue release is measured by the accumulation of the cytotoxic granule membrane protein, CD107a (LAMP1), at the surface of the NK cell, when fusion of recycling endosomes with the lysosome is blocked by monensin. Cytokines accumulate in NK cells when Golgi transport is blocked by brefeldin A. At the end of an effector:target co-culture, these proteins and other lineage surface markers are detected by flow cytometry. This version takes less time than the previous protocol without affecting the quality of the result.
Protocol for the purification of total DNA from soil samples v2
Authors: Kalendar Ruslan
Published: July 2023

The protocol can also be used for other 'complex' samples (e.g. faeces) and tissues containing high amounts of polymeric molecules, pigments that cannot be separated in any other way. The scale in this example is taken to obtain DNA from 1 - 5 grams samples but can be scaled to microvolume and sample mass. The goal of this protocol is to isolate as much total DNA from the sample as possible, without purification. The sample can be soil or any other source for which all existing approaches for isolation and purification are unsuitable. Once the DNA sample is in a soluble and concentrated form, it can be further purified by other approaches.
In the Web of the Parties: Local Politicians on Facebook in Hungary
Authors: Bene Márton , Dobos Gábor
Published: July 2023

The study examines the Facebook use of elected local politicians over two years in Hungary. To gain insights into the role of local politicians in social-media-based local publics in Hungary, a large-scale data collection has been conducted to capture the Facebook activity of all elected local representatives (mayors and councilors; N = 19,503) from the 3,152 Hungarian municipalities. Our research uncovers the level (adoption, activity) and direct audience (number of followers) of their Facebook activity and shows how these patterns are conditioned by political (party, electoral competitiveness, bandwagon effect) and contextual (size, average income of the population, development level of the local Facebook sphere) factors. We show that local politicians are mostly active in larger municipalities, while a larger proportion of the population can be reached directly in smaller communities. The activity of local politicians is largely driven by political considerations, while demand-side factors are less important.
A Warning Approach to Mitigating Bandwagon Bias in Online Ratings: Theoretical Analysis and Experimental Investigations
Authors: Wu Ding ,   University of International Business and Economics, Guo Xunhua ,   Tsinghua University, Wang Yuejun ,   Tsinghua University, Chen Guoqing ,   Tsinghua University
Published: July 2023

Current online review systems widely suffer from rating biases. Biased ratings can lead to violations of
customer trust and failures of business intelligence. Hence, both practitioners and researchers have
directed massive efforts toward curbing rating biases. In this paper, we investigate bandwagon bias, the
rating distortion resulting from individuals posting ratings shifted toward the displayed average rating,
and propose a bias warning approach to mitigate this bias. Drawing on the flexible correction model,
the theory of valuation in behavioral economics, and previous warning research, we design an effective
warning strategy in two steps. First, we start with the risk-alert warning strategy, which prior research
has widely employed, and rationalize its deficiencies by synthesizing theoretical analysis and extant
empirical evidence. Second, considering the deficiencies, we identify a supplementary content design
factor—the ranking task—and construct a risk-alert-with-ranking-task warning strategy. We then
empirically test the effects of the two warning strategies on individual ratings in cases in which
bandwagon bias either occurs or does not occur in individuals’ initial assessments. The results of four
controlled experiments indicate that (1) the risk-alert strategy can reduce bandwagon bias in individual
ratings but will elicit unwanted rating distortions when bandwagon bias does not occur in individuals’
initial assessments, and (2) the risk-alert-with-ranking-task strategy can mitigate bandwagon bias while
avoiding the unwanted rating distortions above and can thus function as an effective warning strategy.
Our research contributes to the literature by proposing an effective debiasing solution for bandwagon
bias and a bias warning approach for online rating debiasing, which can help increase rating
informativeness on online platforms.
Digital Sustainability in Information Systems Research: Conceptual Foundations and Future Directions
Authors: Kotlarsky Julia ,   University of Auckland Business School, Oshri Ilan ,   University of Auckland Business School, Sekulic Nevena ,   University of Auckland Business School
Published: July 2023

In this editorial, we develop the concept of digital sustainability for the IS community. By
systematically reviewing the Green IT and Green IS literatures, we show that the IS field has lagged
behind current discourse in practice and therefore lacks the conceptualization of the relationships between digital technologies and sustainability. Digital sustainability is defined in this editorial as the
development and deployment of digital resources and artifacts toward improving the environment,
society, and economic welfare. We hope that this editorial motivates IS researchers to engage in digital
sustainability as an emerging research area.
The Role of AI-Based Artifacts’ Voice Capabilities for Agency Attribution
Authors: Schmitt Anuschka ,   Institute of Information Management, University of St.Gallen, Zierau Naim ,   Institute of Information Management, University of St.Gallen, Janson Andreas ,   Institute of Information Management, University of St.Gallen, Leimeister Jan Marco ,   Institute of Information Management, University of St.Gallen
Published: July 2023

The pervasiveness and increasing sophistication of artificial intelligence (AI)-based artifacts within
private, organizational, and social realms are changing how humans interact with machines. Theorizing
about the way that humans perceive AI-based artifacts is, for example, crucial to understanding why and
to what extent humans deem these artifacts to be competent for decision-making but has traditionally
taken a modality-agnostic view. In this paper, we theorize about a particular case of interaction, namely
that of voice-based interaction with AI-based artifacts. We argue that the capabilities and perceived
naturalness of such artifacts, fueled by continuous advances in natural language processing, induce users
to deem an artifact as able to act autonomously in a goal-oriented manner. We show that there is a positive
direct relationship between the voice capabilities of an artifact and users’ agency attribution, ultimately
obscuring the artifact’s true nature and competencies. This relationship is further moderated by the
artifact’s actual agency, uncertainty, and user characteristics.
Multiscale mapping and scaling analysis of the censored brittle structural framework within the crystalline bedrock of southern Finland
Authors:   Geological Survey of Finland, Espoo, Nordbäck Nicklas ,   Department of Geography and Geology, University of Turku, Finland, Ovaskainen Nikolas ,   Geological Survey of Finland, Espoo,   Department of Geography and Geology, University of Turku, Finland, Markovaara-Koivisto Mira ,   Geological Survey of Finland, Espoo, Skyttä Pietari ,   Department of Geography and Geology, University of Turku, Finland, Ojala Antti ,   Department of Geography and Geology, University of Turku, Finland, Engström Jon ,   Geological Survey of Finland, Espoo, Nixon Casey ,   Department of Earth Science, University of Bergen, Norway
Published: July 2023

Fracture studies commonly lack data for the length range between 10 m to 1 km. For this reason, scaling laws are required to extrapolate fracture properties, for example in discrete fracture network models. This study focused on analysis and correlation of topology, orientation and length distribution of multiscale fracture datasets to assess their scalability. The used datasets comprise UAV-derived photogrammetric models from natural outcrops and lineaments mapped using airborne LiDAR, bathymetry and aerogeophysical data, in several contrasting scales and resolutions. This study highlights challenges in acquiring uncensored and coherent brittle structural datasets from source data characterized by a large span of resolutions between the remote sensing datasets and models of the fractured outcrop. In specific, collected data was found to be potentially biased and affected by uncertainties related to both the censoring by sedimentary cover and the scale of observation. Our results revealed differences between lineament and outcrop fracture orientations, as well as difficulties in assessing topological parameters from lineament datasets. The 1:200000 resolution was found best suited to the mapping of lineament length and resulted in a length distribution power law exponent of -1.92. For outcrop fractures that are less than 2 m long, the lognormal length distribution provided the only good fit to our data, while the longer outcrop fractures fitted relatively well with a power law exponent of -2.26.
Adaptive Energy-Optimized Consolidation Algorithm
Authors: Mangaonkar Abhinandan P. , Gull Karuna C. , Vantamuri Sushiladevi , Patil Arpita , Pattanshetti Jaya M.
Published: July 2023

We have been hearing about cloud computing for quite a long time now. This type of computing is booming and emerging as a popular computing paradigm for its scalability and flexibility in nature. Cloud computing provides the provision of service on-demand, on-demand resources supply and services to end-users. However, energy consumption and energy wastage are becoming a major concern for cloud providers due to its direct impression on costs required for operations and carbon emissions. To tackle this issue, Adaptive Energy-Optimized Consolidation Algorithm has been proposed to efficiently manage energy consumption in cloud environments. This algorithm involves sharing by dividing, in this process resource allocation is done into two different phases, those are, consolidation of tasks and consolidation of resources. Compared to single-task consolidation algorithms, the proposed two-phase Adaptive energy optimized consolidation algorithm shows improved performance in terms of energy efficiency and resource utilization. The results of experiments conducted using a cloud-sim show the effectiveness of the proposed algorithm in decreasing energy consumption while maintaining the quality-of-service requirements of computing in cloud. 

The need for an hour is to automate things without human intervention. Thus, using Autonomous computing refers to a type of computing system that is capable of performing tasks and making decisions without the intervention of humans. This type of system typically relies on Artificial.Intelligence, Machine.Learning, and other futuristic technologies to study the data, identify patterns, and make decisions based on that data. Cloud computing can certainly be incorporated into an autonomous computing system. The performance of an automated computing environment depends on a various factor, considering the quality of the different algorithms used, also the amount and quality of various data available to the system, the computational resources available, and the system's ability to learn and adapt over time. However, by incorporating cloud computing, an autonomous computing system can potentially access more resources and process data more quickly, which can improve its overall performance.
An AI framework for Change Analysis and Forecast Modelling of Temporal Series of Satellite Images
Authors: M. Pallavi , T. K. Thivakaran , Ganapathi Chandankeri
Published: July 2023

The study focuses on change analysis and predicting future LULC map of capital city of Karnataka state, India. The chosen study area is more prone to urbanisation and greatly affected by population in recent years. Spatial-temporal data from 1989-2019 are considered. LULC classes comprise of Water bodies, Urban, Forest, Vegetation and Openland. An optimal LULC maps from 1989 to 2019 obtained by deep neural network technique are used to perform change analysis which would mainly give the change LULC map with number and percentage of change pixels. According to the analysis performed major change as environmental affecting factor was noticed between 2009 and 2019 where in urban with the area of 189.3861 sq. km remain unchanged and noticeable transitions from other LULC classes to urban. Later, time series classification was performed using Cellular Automata, Cellular Automata-Neural Networks, techniques to predict the LULC map of 2024. Among these CA-NN outperformed with an average kappa coefficient of 0.83. Also, this was validated with projected LULC map of 2024 provided by USGS.
Implementation of Hybrid Prediction Model: An Unsupervised and Supervised Learning Perspective
Authors: Baig Mirza Ghazanfar , Nayak Sandeep Kumar
Published: July 2023

Using raw data to make inferences is the core of data science. This might be accomplished by closely examining the complex trends and patterns in the data. Machine Learning based forecasting methods have shown useful in predicting perioperative outcomes to improve the quality of future event planning decisions. In many application sectors where machine learning models were used, it has long been necessary to identify and prioritise the negative characteristics of a threat. Wish to provide precise predictions about a certain set of data, for example, use machine learning techniques in data science. Numerous prediction algorithms are now in use to address forecasting issues. Numerous epidemiological models are being employed internationally to forecast pandemic mortality rates and the number of affected people. Making the right decisions depends on the development of reliable prediction models.

Epidemiological models have had trouble making longer-term forecasts with a higher degree of accuracy due to a lack of significant data and ambiguity. This research suggests a hybrid machine learning approach to anticipate the pandemic in contrast to Susceptible-Infected-Resistant based models, and we demonstrate its potential using COVID-19 data from India. Order to improve the identification of epidemics early, The model can also be updated using data from sources like search engine searches. Results from two well-known machine learning methods were compared to those from the improved SIR and SEIQR models.
Adaptive Resource Allocation in Cloud Data Centers using Actor-Critical Deep Reinforcement Learning for Optimized Load Balancing
Authors: Arvindhan M. , Kumar D. Rajesh
Published: July 2023

This paper proposes a deep reinforcement learning-based actor-critic method for efficient resource allocation in cloud computing. The proposed method uses an actor network to generate the allocation strategy and a critic network to evaluate the quality of the allocation. The actor and critic networks are trained using a deep reinforcement learning algorithm to optimize the allocation strategy. The proposed method is evaluated using a simulation-based experimental study, and the results show that it outperforms several existing allocation methods in terms of resource utilization, energy efficiency and overall cost. Some algorithms for managing workloads or virtual machines have been developed in previous works in an effort to reduce energy consumption; however, these solutions often fail to take into account the high dynamic nature of server states and are not implemented at a sufficiently enough scale. In order to guarantee the QoS of workloads while simultaneously lowering the computational energy consumption of physical servers, this study proposes the Actor Critic based Compute-Intensive Workload Allocation Scheme (AC-CIWAS). AC-CIWAS captures the dynamic feature of server states in a continuous manner, and considers the influence of different workloads on energy consumption, to accomplish logical task allocation. In order to determine how best to allocate workloads in terms of energy efficiency, AC-CIWAS uses a Deep Reinforcement Learning (DRL)-based Actor Critic (AC) algorithm to calculate the projected cumulative return over time. Through simulation, we see that the proposed AC-CIWAS can reduce the workload of the job scheduled with QoS assurance by around 20% decrease compared to existing baseline allocation methods. The report also covers the ways in which the proposed technology could be used in cloud computing and offers suggestions for future study.
A Hybrid Model for Sentiment Analysis Based on Movie Review Datasets
Authors: Jain Kirti , Ghosh Pinaki , Gupta Shital
Published: July 2023

The classification of sentiments, often known as sentiment analysis, is now widely recognized as an open field of research. Over the past few years, a huge amount of study work has been carried out in these disciplines by utilizing a wide variety of research approaches. Due to the possibility that the performance of sentiment analysis may be impacted by the high-dimensional feature set, text mining demands careful consideration during in the construction and selection of features.The process of recognising and extracting subjective information from written data is referred to as sentiment analysis. Sentiment analysis enables companies to understand the social sentiment around their brand, product, or service by monitoring the conversations that take place in internet chat rooms. In order to categorise people's attitudes or sentiments, this study provides a hybrid model (Support Vector Machine, Convolutional Neural Network, and Long Short-Term Memory). The findings of using the network model to sentiment analysis on the movie review or amazon review datasets reveal that it is possible to gain a good classification impact by using the model. The preprocessing is used for text mining, the removal of punctuation, and the generation of vocabulary, also uses GLOVE for vectorization and TF-IDF algorithms for better feature extraction.  The results that were proposed were compared with various base models such as KNN, and MNB, amongst others, which demonstrates that the hybrid model performs better than other models.
A neonatal lupus syndrome with pericardial tamponade due to maternal Sjögren’s syndrome
Authors: YAPICIOĞLU Hacer , ÖZDEMİR Mustafa , TEPE Tugay , AKBAŞ Tolga , ÖZLÜ Ferda , ERDEM Sevcan
Published: July 2023

Neonatal lupus syndrome (NLS) is a rare disease with dermatological, cardiac, hepatic and hematologic involvement due to placental transfer of anti-Ro/ SSA and anti-La/ SSB antibodies in infants of mothers with autoimmune diseases. Multisystemic involvement is common in infants. Here we present a baby with neonatal lupus syndrome whose mother had Sjögren's syndrome. He presented with thrombocytopenia, then convulsion and cardiac arrest due to pericardial tamponade. So, the risk of NLS should be kept in mind in infants of mothers with autoimmune diseases.
A rare cause of acute abdomen in childhood: coexistence of mesenteric cystic lymphangioma and acute appendicitis
Authors: UYSAL Mehmet , BAYRAM Mehmet
Published: July 2023

Abdominal cystic lymphangiomas are benign congenital anomalies of the mesenteric and retroperitoneal lymphatics, which are not common in the literature. Diagnosis is usually made by physical examination, ultrasonography, and computed tomography. If a significant portion of adjacent organs is not to be sacrificed, complete surgical removal of the mass is the therapeutic option for symptomatic abdominal cystic lymphangiomas. In this study, a patient with mesenteric cystic lymphangioma who underwent surgical treatment is presented. A result of the radiological examinations performed on a 17-year-old female patient who applied for intermittent abdominal pain and a mass in the abdomen as a result of the well-defined, septated mesenteric cystic lymphangioma and acute appendicitis were detected. The patient underwent a diagnostic laparoscopic procedure and then an open surgical treatment, and excision and resection anastomosis were performed on the mass surrounding the jejunum approximately 100 cm distal to the ligament of Treitz. The patient did not have any postoperative problems and was discharged with recovery on the 5th day after surgery. Mesenteric cystic lymphangiomas should be kept in mind in patients with intermittent abdominal pain and abdominal mass, and surgical treatment should be applied in selected cases, as it may rarely cause serious complications.
The value of APRI and FIB-4 scores in detection of liver fibrosis of patients with chronic hepatitis C
Authors: AÇIKALIN ARIKAN Hatice Burcu , DEMİRDAL Tuna , BİLİR Neriman
Published: July 2023

Purpose: Infection with hepatitis C virus causes chronic liver damage, fibrosis and in later processes, cirrhosis and liver cancer. Currently, the use of biomarkers, instead of invasive procedures, is recommended to identify liver fibrosis. In this study, we aimed to evaluate the sensitivity and specificity of aspartate aminotransferase (AST) to Platelet Ratio Index (APRI) and Fibrosis-4 Index (FIB-4) scoring for detection of "significant fibrosis" in chronic hepatitis C patients.

Materials and Methods: Liver biopsy results and blood test results of 50 patients, infected with chronic hepatitis C, were analyzed. APRI and FIB-4 scores were calculated. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and consistency for APRI and FIB-4 scorings were calculated using a fourfold table. The values of APRI and FIB-4, providing the best specificity and sensitivity in the diagnosis of significant fibrosis, was determined by ROC (receiver operator characteristics curve) analysis.

Results: The mean fibrosis stage of 30 patients with significant fibrosis was 2.83±0.74 and the mean patient age was 56.8±13. The sensitivity of APRI ≥ 1.5 to detect significant fibrosis was 16%, the specificity was 90%, PPV was 71% and NPV was 41%. A FIB-4 score of ≥3.25 had a sensitivity of 20%, a specificity of 95%, a PPV of 85% and a NPV of 44%.

Conclusion: APRI and FIB-4 have high specificity and PPV in demonstrating significant fibrosis, but have low sensitivity and NPV. The sensitivity of FIB-4 was higher compared to the APRI scoring. More research on this subject is needed, as well as revision of fibrosis scores and development of new fibrosis scores.
Giant cell tumor of the temporal bone
Authors: KAPLANOĞLU Hatice , TURAN Aynur , KAPLANOĞLU Veysel
Published: July 2023

Giant cell tumor (GCT) arises from undifferentiated mesenchymal cells of the bone marrow. GCT, a benign and locally aggressive tumor, is more commonly seen in the metaphysis of long bones. It may cause local bone destruction, recurrence, and pulmonary metastases (~1%). A 15-year-old male patient was admitted with complaints of swelling on the right face, a headache that has persisted for one year and progressively worsened in the last three months, and hearing loss. Craniotomy and total tumor excision were performed. Histopathological examination revealed a giant cell tumor of the bone. We present a case of temporal bone GCT with its clinical and radiologic features.