bluuebunny/crossref_metadata_2025 huggingface dataset:
Capitalism in Language, and the Digital Era
Authors: Tennet Janis
Published: March 2023

This paper examines salient features of linguistic capitalism in the digital era, focusing on the dimensions of space, speed, and marketplace. We attempt to reconstruct the linguistic and economic connections of computation and algorithmic or cybernetic capitalism that reinforces global industrialization. We draw on work that discusses the keystone of Google’s success, which is built on three algorithms, PageRank, Adwords, and auto-completion. Auto-completion transforms linguistic materials with little economic value into a potentially profitable economic resource. We discern some semiotic aspects of data-isation and monetization of digital language. In the digital language spaces dominated by algorithmic capitalism as an aspect of informationalism, signs are detached from their narrative function and temporal dimension, while referring only to other signs. We then explore touch on the question of speed and velocity, which define a new linguistic capitalism. Here, ‘fast language’ is a key element in the marketplace of digital language, both as content and as technology. With the current dominance of companies such as Google, such a study is significant, as it sheds light on the economy of language and linguistic capitalism in the current highly pervasive online context.
A review of Cuvier’s beaked whale strandings in the Mediterranean Sea
Authors: Podesta Michela , D'Amico Angela , Pavan Gianni , Drougas Aimilia , Komnenou Anastasia , Portunato Nicola
Published: March 2023

Cuvier’s beaked whale (Ziphius cavirostris) is the only species of beaked whale commonly found in the Mediterranean Sea, a deep, semienclosed basin. Beaked whales are generally an offshore family often found in association with the canyons and steep escarpments common to the area. Much of the current knowledge of this species has been derived from strandings data. Historically, strandings data for the Mediterranean Sea has been collected by individual researchers and more recently, over the last two decades, by national strandings networks. We reviewed strandings data collected by strandings networks from Italy, Greece, Spain and France. Additionally, we compiled strandings information gleaned from the literature, personal communications, regional newspapers and the world wide web from countries that border the Mediterranean Sea. While this review is certainly not exhaustive, it has allowed the creation of an extensive geo-referenced basin wide database using a geographic information system (GIS) of over 300 stranding events. The acquired data permit documentation of the number of mass stranding events, allow general observations about distribution and chronology of stranding events dating back to 1803 and enables evaluation of strandings based on several different criteria. The first recorded mass stranding event was in 1963 off Genova, Italy. Analysis shows that specific geographic stranding areas can be identified, even though the level of effort undertaken in the different countries may vary.
Shared decision making in de ouderenzorg
Authors: De Mulder P. , Desmet P. , Bollaert M.
Published: March 2023

Shared decision making in older patients

The framework of shared decision making aims at helping people play an active role in weighing their options concerning their health. Such an approach is preferred in both younger and older individuals. However, in older adults there are common challenges and considerations with regard to this process of shared decision making. First, there is the challenge posed by gaps in the available evidence. Even if older individuals are included in clinical trials, they may not resemble the unique patient sitting in front of the clinician. Second, outcomes that matter to older patients, are more likely to be patient-centred and focussed on functional status and independence instead of mortality. Thus, it will be important to explore the patient’s preferences and emotions. Finally, sharing medical information with older adults can be problematic, as cognitive impairment may pose a great challenge. All of the above makes shared decision making a time-consuming and laborious process. Nevertheless, it is an essential factor in providing high-quality care and shared decision making remains of paramount importance in designing an individual treatment plan.
Rule of Law in the Western Balkans
Authors: Ördögh Tibor
Published: March 2023

Rule of law is a much-debated concept today, and it is one of the fundamental pillars of any democratic system. When it comes to the countries of the Western Balkans striving to become members of the European Union, it is important to look at the characteristics they have in this respect, and to what extent they meet the criteria for becoming a member state. Due to their particular way of development, there are different de facto political systems functioning within the region, which is an obstacle that also stands in the way of rule of law. This study presents those aspects of the rule of law that clearly demonstrate falling behind other political systems. An independent judiciary, civil liberties, media pluralism, and corruption are all factors that require reform in the examined countries. It may be wise to try and point out the shortcomings of the system along the lines of these aspects.
The Effects of Institutions on the Transition of the Western Balkans
Authors: Šiljak Dženita
Published: March 2023

The Western Balkan countries have been lagging behind in their transition process, which started more than 30 years ago. While some justification can be made in the fact that the countries went through wars in the 1990s, the real problem is that they have not been able to create efficient institutions. Inefficient institutions hamper economic growth, as the countries do not attract foreign direct investment (FDI) to the extent they could and should. A lack of FDI affects three aspects of the transition process in the region: developing a functioning market economy, competitiveness, and convergence. Improvements in these areas can only be done by building efficient institutions.
Facing Reality? An Evaluation of Saudi-American Relations and the Upcoming Presidential Visit
Authors: Szalai Máté
Published: March 2023

The analysis evaluates the current state of bilateral relations between the Kingdom of Saudi Arabia and the United States and interprets President Joe Biden’s upcoming visit to Saudi Arabia. While Riyadh and Washington continue to be vital partners for each other, several strategic and personal factors undermine cooperation between them. Although the Russian-Ukrainian war and its political and economic consequences have made the United States rethink its approach to the Kingdom, serious challenges remain. For the summit to succeed, the two countries’ leaders must overcome mistrust, political and personal grievances, and diverging interests.
The Green Alliance : A New Phase in EU-Japan Cooperation
Authors: Deme Barbara
Published: March 2023

This paper analyses the bilateral relationship between the European Union and Japan through various, mainly economic partnerships. These economic partnerships have become stronger through time, and now Japan and the European Union are working together in different dimensions, for example in the Green Alliance climate political partnership. Green Alliance is a strong environmental cooperation that promotes the use of renewable energy and supports scientific and business cooperation between Japan and the European Union. The paper briefly introduces the history of Japan-EU relations and their most important partnerships. For a comparison with EU-Japan partnerships, the paper also describes US-Japan partnerships, as the US has been Japan’s key partner since the 1950s.
Formation of logical qualities of thinking of high school students as a factor of intensification mental education in modern school
Authors: Glebova Marina Vladimirovna
Published: March 2023

The article discusses the pedagogical conditions for the formation of logical thinking, shows its role in the formation and development of conceptual thinking, which is the main psychological characteristic necessary for organized, in particular, school education. The leading role of the verbal-logical method of teaching in an integral pedagogical system, aimed at the formation of systemic and dynamic characteristics of mental activity, has been determined. The characteristic features of the verbal-logical method of teaching are listed. The conclusion is substantiated about the necessity of educating the logical culture of thinking of modern schoolchildren through the verbal-logical method of teaching, which is an internal condition for students to master the method of scientific knowledge, which determines the development of productive (creative) thinking of schoolchildren. In the process of the cognitive activity of the teacher, cognitive-psychological barriers arise, which are mainly overcome in a logical way, but the psychological moments of such overcoming in pedagogical practice are poorly taken into account. For this reason, learning difficulties are not overcome, but are steadily reproduced, and the prerequisites for highly productive mental processes do not mature. The verbal-logical method of teaching makes it possible to remove this contradiction, since it expresses a focus on the psychological side of mastering knowledge and allows you to holistically carry out the system-dynamic process of progressively more complex mental activity. The development of productive thinking is inextricably linked with the development of its reproductive (component), in connection with which the formation of the logical qualities of thinking becomes one of the key tasks of mental education in a modern school.
Teaching and Learning of Biosciences in a Digital World: Challenges and Effective Teaching Strategies During and After Covid-19 Pandemic
Authors: Cheema Manraj Singh , Othman Zulkefley , Sarchio Seri Narti Edayu , Syed Alwi Sharifah Sakinah , Md Hashim Nur Fariesha , Liew Chin Teng
Published: March 2023

The global pandemic of COVID-19 has had a huge influence on bioscience education in which digital technology and transformation has gained momentum and this pattern appears to be set to persist for the foreseeable future. Adopting new technology and changing biosciences education models, processes, and procedures has posed challenges to all stakeholders within the ecosystem. Aside from the move to online or distance learning, bioscience courses in higher education also necessitate the development of critical practical skills, which is yet to be fully addressed in digital platform context. This article examines the challenges and issues that biosciences education faces, as well as the tactics, methodologies, and alternatives that have been employed in the present pandemic context to reform biosciences education to enhance its resiliency and sustainability. This article also defines effective teaching criteria in biosciences education and considers whether higher education institutions can use virtual learning to offer the newest bioscience skills and knowledge to be future-proof and job-ready.
Flâneries multissitiadas etnográficas
Authors: Rial Carmen
Published: March 2023

O capítulo aborda uma prática metodológica, a flaneria. Flanar metodologicamente é passar de um lugar ao outro sem fixar um território como o locus de uma pesquisa, é se deixar levar pelo objeto, é fazer. Neste texto, abordo pesquisas etnográficas no exterior, resultados de flanerias, e que foram multissitiadas, tendo como objeto cadeias de fast-food (1988-1992) e estádios de futebol (2003-2013).
At home and at the other side of the Atlantic. Polish anthropologist among Polish diaspora
Authors: Bielenin-Lenczowska Karolina
Published: March 2023

While working with Brazilians of Polish origin, I focused on the descendants of one of the first and the largest migration waves, which was aiming to colonise the southern part of Brazil and develop its agriculture. Thus, the question I asked was what it means to be Polish in Brazil right now and what can be still defined as Polish heritage, that is how some elements of Polish culture (e.g. language, culinary practices, religion or folklore) shape the sense of belonging of third, fourth or even fifth generation of immigrants? I also focused on how the fact that I was a woman, a wife and mother influenced the way I conducted my research and its results. In this paper I reflect upon all those elements of my positionality or ‘lugar de fala’ (place of speaking) and try to analyse how it affected ethnographic encounters, findings and my ways of interpretation of collected data.
Empreendedores imigrantes étnicos na Place d’Italie, Paris
Authors: Rial Carmen , Grossi Miriam , Eichenberger Andrea
Published: March 2023

Este capítulo reflete sobre a imigração multicultural de um bairro em Paris, com foco nos pequenos empreendedores proprietários de restaurantes e comércios de serviços instalados em uma mesma rua. Partindo de uma observação etnográfica de longa duração das mudanças no bairro 13 e nos processos imigratórios na França, trazemos dados demográficos e históricos e refletimos como imigrantes empreendedores constroem seus projetos de vida articulando suas culturas de origem com a vida cosmopolita parisiense.
Desafios de uma pesquisa no escuro em gay clubs berlinenses
Authors: Xavier de Camargo Wagner
Published: March 2023

Neste paper trato das festas de sexo, que foram cenários do percurso etnográfico de atletas amadores em Berlim, numa pesquisa sobre práticas esportivas de pessoas LGBTQIA+. Porém, além da interpretação antropológica relacionada ao circuito citadino de tais festividades, lanço-me no desafio de refletir sobre o escuro e os cheiros que existiam nestes ambientes. Como a antropologia, em geral, privilegia a premência da linguagem e da visão em suas investigações, tento etnografar outras sensações no escuro e na penumbra para entender como isso pode permitir conhecimento antropológico sob outros registros. E, assim, a partir desses elementos não visuais de percepção, tomo os cheiros que me afetaram para abrir novas considerações sobre o trabalho de campo realizado.
Três formas imaginárias de um estrangeiro entre pescadores de bote a motor da Ilha de Santa Catarina
Authors: Godio Matias
Published: March 2023

O capítulo aborda a experiência do autor, um antropólogo argentino, em trabalho de campo na Barra da Lagoa, uma comunidade pesqueira na região leste da parte insular de Florianópolis. Nesse sentido, a identidade de estrangeiro é acionada nas várias interações com os interlocutores não somente nas atividades cotidianas de morador “gringo” nessa localidade, mas também quando embarcado.
ÖNLİSANS ÖĞRENCİLERİNİN KARANTİNA VE UZAKTAN EĞİTİM SÜRECİNDE TÜKENMİŞLİK VE SOSYAL DESTEK DÜZEYLERİ
Authors: ÇUVADAR BAŞ Yeter , DEMİRCİ ECEVİT Esra
Published: March 2023

Dünyayı kasıp kavuran COVID-19 pandemisi, tüm dünyanın eğitim sistemini sarmıştır. COVID-19 pandemisinden önce de üniversite hayatları boyunca tükenmişlik düzeylerini artıracak birçok faktörle karşı karşıya gelen öğrenciler COVID-19 pandemisi ile beraber daha fazla stresörle baş etmek durumunda kalmışlardır. Bu çalışma sağlık programında eğitim gören önlisans öğrencilerinin karantina ve uzaktan eğitim sürecinde tükenmişlik ve sosyal destek düzeyleri arasındaki ilişkiyi değerlendirmek amacıyla planlanmıştır. Tanımlayıcı tarzda planlanan çalışmanın örneklemini 143 sağlık önlisans programı öğrencisi oluşturmuştur. Araştırmacılara, pandemi sürecini ve online eğitimi değerlendiren Tanımlayıcı Bilgi Formu, Tükenmişlik Envanteri- Öğrenci Formu ve Çok Boyutlu Algılanan Sosyal Destek Ölçeği elektronik ortamda uygulanmıştır. Araştırmada elde edilen veriler bilgisayar ortamında SPSS 22.0 istatistik programı aracılığıyla değerlendirilmiştir. Araştırma sonucuna göre; algılanan sosyal destek ile tükenme arasındaki neden sonuç ilişkisini belirlemek üzere yapılan regresyon analizi anlamlı bulunmuştur (p=0,0160.05) ve arkadaştan (p=0.513>0.05) algılanan sosyal destek tükenme düzeyini etkilemezken, özel insandan algılanan sosyal destek ise tükenme düzeyini azaltmaktadır. Bu çalışmada; önlisans sağlık programında eğitim gören öğrenci popülasyonuna yönelik COVID-19 pandemisinin ve karantina sürecinde uzaktan eğitimin etkileri ortaya koyulmuştur. Çalışmamızın karantina ve uzaktan eğitim sürecinde sağlık alanında eğitim gören öğrencilerin tükenmişlik ve sosyal destek düzeyleri arasındaki ilişkiyi aydınlatacağı düşünülmektedir.
A Comparison of KNN Algorithm and MNL Model for Mode Choice Modelling
Authors: Vinayakumar Gopika
Published: March 2023

Mode choice modelling helps to identify potential users of traffic and plays an important role in policy and decision-making by the government. With the advancement of artificial intelligence and machine learning techniques, several studies were carried out to analyse the performance of mode choice models in which the backpropagation algorithm was used. However, for faster convergence of parameters, it would be interesting to explore other efficient algorithms of machine learning as the conjugated gradient search in spite of the backpropagation algorithm. The present study adds to the literature about the performance of the K-Nearest Neighbour (KNN) algorithm in mode choice modelling and compared the KNN model with the traditional MNL model. It was unveiled that the variables, which are found significant and important in both models are the same. It is also found that the KNN model is outperforming MNL with a prediction accuracy of 73.84%.
Travel time, delay and reliability of ferry transportation across a waterway
Authors: Das Debabrota
Published: March 2023

This paper studies the journey time, delay, system reliability, vessel and passenger arrival patterns and their interdependence in six waterway transport (ferry) routes across a river. Deviations from average and buffer time indices (indicating reliability) are calculated for waiting delay, ferry journey and total travel time of passengers. Although the ferry journey is fairly reliable (6-19% deviations), large unreliability persists in waiting time (56-95% deviation). Intuitively, it decreases in locations with higher frequencies and passenger flow. Further, consistency in maintaining fixed frequency results in passengers remembering the schedule and arriving just in time, as observed statistically. A 50% hypothetical increase of frequency with fixed departures decreases the waiting delay by 29-59% and increases the reliability by 30-96%. The outcome of this paper can invigorate transportation operations over short waterway routes, as the result provides implications from the passengers’ and operators’ perspectives.
The Translational Body: Theatre Translation and Interpretation in Brazilian Sign Language (Libras)
Authors: Xavier Neta Celina Nair , Sutton-Spence Rachel Louise
Published: March 2023

This article introduces and develops the concept of the “translational body” as a construct in the process of translation and interpretation of Brazilian Sign Language (Libras), describing its relationship with the system of theatre. We show that Libras/Portuguese interpreters (TILSP) working in theatre settings are creative, political and artistic agents, with professional, didactic and activist profiles, all of which contribute to the polysystem created in Libras theatre translation. We argue that the translational body is a multiple, organic, procedural, dynamic and dialogic construct and that its presence in the theatrical polysystem organises, challenges and brings together the linguistic and cultural repertoires of theatre in new ways. Interviews conducted with TILSPs working in theatre, theatre producers and deaf audience members were analysed, drawing on Even-Zohar's Theory of Polysystems (2018) together with Embodiment Theory and existing Brazilian research by Silva Neto (2017), Fomin (2018), Resende (2019), Rigo (2019) and Albres and Santos (2020). We show that the process of Libras translation and interpretation in theatre is a process of construction of a body which is presented with the actors on stage and which incorporates translation in its relationship with the different systems that form part of the theatrical polysystem.
Um projeto de tradução em trupe de obras dramatúrgicas de Thomas Bernhard
Authors: Neri Angélica , Eberspächer Gisele Jordana , Simões Hugo , Abdala Junior Luiz Carlos
Published: March 2023

Este artigo aborda o projeto de tradução colaborativa de três obras dramáticas do escritor austríaco Thomas Bernhard: O presidente, Uma festa para Boris e Immanuel Kant. O projeto foi realizado por um grupo de cinco estudantes da área de tradução e coordenado pela professora Ruth Bohunovsky. As obras decorrentes do trabalho começaram a ser publicadas em 2020. Além de comentários sobre o processo colaborativo e a tradução, discutem-se a escolha de traduzir as peças pensadas como livros, as dificuldades impostas pela linguagem dramatúrgica de Bernhard e os resultados do processo como um todo.
Do livro para o palco e vice-versa: sobre uma tradução brasileira de Iwona, księżniczka Burgunda (Ivone, princesa da Borgonha), de Witold Gombrowicz
Authors: Souza Marcelo Paiva de
Published: March 2023

Em vista do projeto de publicação em livro da minha tradução de Iwona, księżniczka Burgunda (Ivone, princesa da Borgonha), de Witold Gombrowicz – feita sob encomenda para a primeira montagem brasileira da peça, em 2003 –, revisito a empreitada e reexamino o processo tradutório, suas motivações e premissas, seus problemas e resultados. Redirecionada do espaço do palco para o âmbito das letras, confrontada com um novo momento da trajetória de recepção de Gombrowicz em nosso país, a tradução realizada anos atrás dá ensejo a uma série de questionamentos: as diretrizes do trabalho tradutório (ainda) se mostram acertadas? Suas soluções – textuais e paratextuais – (ainda) parecem satisfatórias? Em que medida? Por quê?
Bullying Tweets Detection using CNN- Attention
Authors: Alhlou Alghafiqe , Alam Abu
Published: March 2023

The prevalence of cyberbullying toward minorities has been a global concern in the last decade. This concern reached a crescendo during the COVID-19 pandemic as many online users became more active on Twitter, using the social media to harass and threaten vulnerable groups. The after effects of COVID-19. Aside from the increase in technology use, there are other factors at play that are causing an increase in cyberbullying. For instance, when there is a major crisis like the one that COVID-19 brings, this puts everyone on edge, and kids are no exception. As a result, hostility toward others tends to increase along with self-preserving and self-defensive behaviours. In this work, we proposed a novel framework to detect cyberbullying on Twitter. This framework combined the attention layer and the convolutional pooling layer to extract cyberbullying-related keywords from users’ tweets efficiently. We probed the effectiveness of the proposed model using 47000 labelled tweets, which were categorized into cyberbullying classes such as age, ethnicity, gender, religion, type of cyberbullying, and non-cyberbullying. In this research we used two sets of combinations. In the first part we used the combination of CNN and ML models. In this structure we used convolutional layers as feature extractor and then we used ML models such as RF and LR , CNN-XGB, CNN-LSTM, CNN attention for classification.
Improving CNN-Based Stock Trading by Considering Data Heterogeneity and Burst
Authors: Yang Keer , Zhang Guanqun , Bi Chuan , Guan Qiang , Xu Hailu , Xu Shuai
Published: March 2023

In recent years, there have been quite a few attempts to apply intelligent techniques to financial trading, i.e., constructing automatic and intelligent trading framework based on historical stock price. Due to the unpredictable, uncertainty and volatile nature of financial market, researchers have also resorted to deep learning to construct the intelligent trading framework. In this paper, we propose to use CNN as the core functionality of such framework, because it is able to learn the spatial dependency (i.e., between rows and columns) of the input data. However, different with existing deep learning-based trading frameworks, we develop novel normalization process to prepare the stock data. In particular, we first empirically observe that the stock data is intrinsically heterogeneous and bursty, and then validate the heterogeneity and burst nature of stock data from a statistical perspective. Next, we design the data normalization method in a way such that the data heterogeneity is preserved and bursty events are suppressed. We verify out developed CNN-based trading framework plus our new normalization method on 29 stocks. Experiment results show that our approach can outperform other comparing approaches.
Natural Language Processing
Authors: Chandrasekaran Arvind
Published: March 2023

Hints of the outbreak are detected through the modified circumstances favoring the outbreaks, like the warm weather contributing to epidermal outbreaks or the loss of sanitation leading to cholera outbreaks typically relying on the routine reports from the healthcare facilities, secondary data like attendance monitoring at workplaces and schools, the web, and the media play a significant informational source with more than 60% of the initial outbreak reporting to the informal sources. Through the application of natural language processing methods and machine learning technologies, a pipeline is developed which extracts the critical entities like country, confirmed case counts, disease, and case dates, which are mandatory entities from the epidemiological article and are saved in the database thereby facilitating the data entry easier. The advantages are the facilitation of relevant score articles shown first, thereby providing the web service results termed EventEpi integrated into the Event Based Surveillance (EBS) workflows.
Barracuda, an Open Source Framework for Parallelizing Divide and Conquer Algorithm
Authors: Senghor Abdourahmane
Published: March 2023

This paper presents a newly-created Barracuda open-source framework which aims to parallelize Java divide and conquer applications. This framework exploits implicit for-loop parallelism in dividing and merging operations. So, this makes it a mixture of parallel for-loop and task parallelism. It targets shared-memory multiprocessors and hybrid distributed shared-memory architectures. We highlight the effectiveness of the framework and focus on the performance gain and programming effort by using this framework. Barracuda aims at large public actors as well as various application domains. In terms of performance achievement, it is very close to Fork/Join framework while allowing end-users to only focus on refactoring code and experts to have the opportunity to improve it.
No Child is Left Behind? ——Left-Behind Children and Drop-Out Rates in China
Authors: Zhang Yaoyu
Published: March 2023

The education of left-behind children is of great concern during the process of urbanization in many developing countries. Using the fixed effect model and the time-varying difference-in-difference model, we examine how left-behind experiences affect children’s educational choices and identities. We find that left-behind children have an approximately 2% higher probability to drop out of school. They tend to report lower levels of education expectations and education expenditures. The negative effect of leftbehind experiences on education outcomes is significant, particularly among middle-school students. Despite improved living conditions, these findings suggest that left-behind experiences have hindered many children from enjoying educational success.
Exploring the Influence of Classroom Interaction on Academic Communication Skills in Secondary Schools: A Case Study of Selected Senior High Schools in the Tahoua Region
Authors: Tchangnonhou Dèkandé Sylvestre , Toboula Coffi Martinien Zounhin , Hounyetin Claude
Published: March 2023

This study explored the relationship between classroom interaction and academic communication in secondary schools. The study was prompted by the low proficiency in English and French observed among students in the Faculty of Education in Tahoua after seven years of secondary education. The study adopted a mixed-methods research approach to uncover the reasons behind this situation, including classroom observations, semi-structured teacher interviews, a student questionnaire, and a controlled experiment. Data (quantitative and qualitative) were analysed through descriptive and inferential statistics and an inductive thematic approach. The study involved classroom observations in English and French language classrooms. In addition, the students (1391) were separated into two groups for the experiment: an experimental group that utilised interactive teaching methods and a control group that followed traditional methods. The results of the three-month experiment revealed that the experimental group exhibited enhanced oral communication skills compared to the control group, suggesting that classroom interaction is a key factor in academic communication. The findings of this study underline the importance of incorporating interactive teaching strategies in the classroom to enhance student communication skills.
X-RECOSA: Multi-Scale Context Aggregation for Multi-Turn Dialogue Generation
Authors: Wu Danqin
Published: March 2023

In multi-turn dialogue generation, responses are not only related to the topic and background of the context but also related to words and phrases in the sentences of the context. However, currently widely used hierarchical dialog models solely rely on context representations from the utterance-level encoder, ignoring the sentence representations output by the word-level encoder. This inevitably results in a loss of information while decoding and generating. In this paper, we propose a new dialog model X-ReCoSa totackle this problem which aggregates multi-scale context information for hierarchical dialog models. Specifically, we divide the generation decoder into upper and lower parts, namely the intention part andthe generation part. Firstly, the intention part takes context representations as input to generate the intention of the response. Then the generation part generates words depending on sentence representations. Therefore, the hierarchical information has been fused into response generation. we conduct experiments on the English dataset DailyDialog. Experimental results exhibit that our methodoutperforms baseline models on both automatic metric-based and human-based evaluations.
Explaining the Performance of Collaborative Filtering Methods with Optimal Data Characteristics
Authors: Poudel Samin , Bikdash Marwan
Published: March 2023

The performance of a Collaborative Filtering (CF) method is based on the properties of a User-Item Rating Matrix (URM). And the properties or Rating Data Characteristics (RDC) of a URM are constantly changing. Recent studies significantly explained the variation in the performances of CF methods resulted due to the change in URM using six or more RDC. Here, we found that the significant proportion of variation in the performances of different CF techniques can be accounted to two RDC only. The two RDC are the number of ratings per user or Information per User (IpU) and the number of ratings per item or Information per Item (IpI). And the performances of CF algorithms are quadratic to IpU (or IpI) for a square URM. The findings of this study are based on seven well-established CF methods and three popular public recommender datasets: 1M MovieLens, 25M MovieLens, and Yahoo! Music Rating datasets.
Yeni Nesil Mobil İletişim Sistemlerinin Gemi Kara Arasındaki Deniz Haberleşmesinde Kullanım Olanağı
Authors: ACARER Tayfun
Published: March 2023

Deniz araçlarının bir birleri ve karadaki ilgili kuruluşlar ile kolay, güvenilir ve her zaman iletişim temin etmesi deniz seyrü seferi için son derece önemlidir. Bu arada deniz araçlarında bulunan gemi adamlarının özel görüşmelerinin de sağlıklı şekilde yapılması, yine deniz aracının sevk ve idaresi açısından büyük önem taşımaktadır. Son yıllarda haberleşme teknolojilerinde ve bilişim sektöründe temin edilen olumlu gelişmeler, bu konuda pek çok alternatif haberleşme şeklini gemi yönetimlerinin ve gemi adamlarının kullanımına sunmuştur. Yeni nesil mobil iletişim teknolojileri olarak da tanımlanan söz konusu haberleşme sistemlerinin teknik yapısı, gemilerdeki zorunlu haberleşme sistemleri gibi kablosuz teknolojilere dayanmaktadır. Nesiller olarak da tanımlanan bu sistemler halen güncel yaşantımızda bireysel ve kurumsal olarak pek çok iletişim kolaylığı temin etmektedir. Bu sistemlerin gemilerdeki zorunlu telsiz sistemlerine ilave olarak, gemi kara arasındaki haberleşmede hangi koşullarda kullanılacağının bilinmesi gemi yönetimleri ve gemi adamları için önemli bir haberleşme aracı olacaktır. Bu nedenle başta beşinci nesil mobil iletişim teknolojileri olmak üzere söz konusu yeni mobil iletişim sistemlerinin imkan ve kabiliyetlerinin bilinmesi, bu sistemlerin gemilerde farklı amaçlarda ve etkin olarak kullanımı açısından büyük önem taşımaktadır.
Analysis and Design of Web-based Information System for Coffeeshop Management using Design Thinking Methodology: Case of Kopi KurangLebih
Authors: Sidabutar Gilberto Dennis G E , Seah Jesslyn Alvina , Singgalen Yerik Afrianto
Published: March 2023

The traditional approach to Coffeeshop business requires business owners to manually record orders and purchase transactions, which poses serious challenges to service management in terms of effectiveness and efficiency. To optimize Kopi KurangLebih Coffeeshop needs and increase its appeal to consumers, a relevant management information system is required. Solving business problems requires web-based information systems that facilitate the ordering and purchasing process. In this study, we use design thinking methodology to design a system that meets user needs. Kopi KurangLebih users are buyers, stakeholders, customers, baristas and cashiers. The Kopi KurangLebih website has several advantages, including viewing menus and ratings, food and drink selections, promotions of the day, points redeemable for various user benefits, and other facilities within the cafe. Therefore, Kopi KurangLebih can make information readily available to purchasers and potential purchasers to increase its attractiveness and marketability. The results of this study show that the Coffeeshop management system design supports Coffeeshop management processes more efficiently and effectively compared to traditional business processes. Nonetheless, the role of each actor in performing their respective tasks optimally becomes a determinant of business losses and gains.
Urinary tract infection in urolithiasis: Antimicrobial resistance and clinico-microbiological association between risk factors and positive stone culture from a tertiary care hospital in south India
Authors: Kaliappan Shanmugam , Vajravelu Leela , Ravinder Thyagarajan , Katragadda Radhika , Jayachandran Abirami L.
Published: March 2023

Urinary tract infections and urolithiasis are common conditions encountered in the healthcare setup. Urinary calculi with infection can lead to recurrence. Isolation of multidrug-resistant (MDR) bacteria is rising and seriously threatens public health. In the present study, a total of 221 urinary calculi and midstream urine samples were collected and processed. Antibiotic susceptibility testing (AST) was performed for all the isolates along with the detection of drug-resistant bacteria like extended-spectrum beta-lactamase (ESBL) producers and methicillin-resistant Staphylococcus aureus (MRSA). ESBL genes, i.e., blaSHV, blaCTX-M, and blaTEM, were identified by Polymerase Chain Reaction (PCR). The significance of the association between age group, gender, risk factors, and positive stone culture was analyzed by the chi-square test. Escherichia coli was the predominant bacteria isolated from 21 (30.88%) of both the midstream urine and urolithiasis samples, followed by Klebsiella pneumoniae 13 (19.11%). High susceptibility was observed for amikacin, nitrofurantoin, and ofloxacin. ESBL-producing bacteria were identified in 25 (36.76%) isolates from urinary calculi and from 46 (39.31%) midstream urine samples. The blaSHV and blaTEM genes were detected among them. MRSA was detected in 9.09% (2 out of 7) of S. aureus isolates recovered from midstream urine samples and 9.09% (1 out of 11) of isolates recovered from urinary calculi. A significant association was observed among cases of diabetes mellitus, hypertension, obesity, and a family history of renal stones (p-value < 0.05). Isolation of MDR bacteria from the calculi is alarming and can lead to treatment failure if not treated appropriately. Performing the culture of the urinary calculi and detecting drug resistance will be of immense value for adequately treating the infection.
An Intelligent Hybrid Approach for Brain Tumor Detection
Authors: Ullah Sajeed , Ahmad Mehran , Anwar Shahzad , Khattak Muhammad Irfan
Published: March 2023

Brain tumours are quickly increasing in prevalence all over the world. It causes the deaths of thousands of individuals annually. Misdiagnosis of brain tumours often results in unnecessary treatment, further lowering the survival rate of the affected individuals. Prompt medical diagnosis is crucial to improve the prognosis for patients with brain tumours. Positive advancements in deep and machine learning domains have been made due to repeated achievements in supporting medical practitioners in making correct diagnoses utilizing computer-aided diagnostic tools. Deep convolutional layers are superior to conventional methods at extracting unique characteristics from target regions. In this research, initially, Gabor filter and ResNet50 were applied to accurately extract the important features of brain tumours from the MRI images dataset. Firstly, the extracted features of Gabor and ResNet50 were classified individually through SVM, and secondly, the features from both these techniques were combined and then classified through SVM. The Kaggle MRI dataset for a brain tumour was utilized in this research. It includes 7,023 Images and four classes Glioma, Meningioma, No-Tumor, and Pituitary. The results from every system were outstanding, but the best results were shown by the combined features of Gabor and ResNet50, an advanced hybrid approach with 95.73% accuracy, 95.90% precision, and 95.72% f1 score.
Estudo comparativo da preparação e caracterização de cimentos à base de hidroxiapatita e galactomanana
Authors: Silva Cléber Cândido da , Aquino Lídia Raquel Correia de
Published: March 2023

Este livro tem por objetivo principal mostrar um novo cimento odontológico à base de um mineral ósseo chamado hidroxiapatita (HAp) sintetizada por moagem mecânica de alta energia em moinho planetário de bolas e um polissacarídeo (galactomanana – Gal) extraída das sementes de Adenanthera pavonina L. Utilizamos como constituintes dos cimentos estudados a HAp, Gal e catalisadores comerciais (JET e LS). Os três cimentos foram preparados como segue, sendo o primeiro, na fase sólida, utilizados 75% de HAp e 25% de Gal e a fase líquida com 0,30 mL de água destilada, chamando-o HAG. Para o segundo cimento, denominado HAGJET, a fase sólida foi a mesma do cimento HAG e a fase líquida 0,10 mL do catalisador JET e 0,20 mL de água destilada. O terceiro cimento (HAGLS), teve sua fase sólida constituída por 60% de HAp e a líquida por 40% de solução de Gal e 0,10 mL do catalisador comercial LS. Os cimentos foram caracterizados por Difração de Raios-X, Análises Térmicas, Espectroscopia de Infravermelho, Método da Cavidade Ressonante, Grau de Intumescimento, Micro dureza, Microscopia de Varredura, tempo de presa, escoamento e solubilidade, obtendo excelentes resultados utilizando a HAp e ao Gal, associados com catalisadores comerciais.
THE EFFECTIVENESS OF GOOGLE CLASSROOM TEACHING TECHNIQUE ON STUDENTS’ COGNITIVE-BASED ANALYTICAL EXPOSITION WRITING SKILL
Authors: SUMARTINI SUMARTINI
Published: March 2023

The aim of the study is to explore whether there are some differences in the students’ analytical exposition writing skills taught by using Google Classroom and conventional technique, to analyze some differences in the student’s analytical exposition writing skills between field-independent cognitive learning and field-dependent of cognitive learning style, and to find out whether there is a relationship between the Google Clasroom technique and the students’ cognitive learning style.  The research used a true experimental method by pretest, posttest and questionnaire.  There are two classes involved in the research achievement, taught by Google Classroom and by conventional technique.  The researcher only took randomnly 74 of 430 students, consisting of 37 students for experimental class who are taught by using Google Classroom and 37 students for controlled class, who are taught by conventional technique.  The data analyzed in this research was gathered through test for experimental class, and controlled class.  The result gained from the research proved the differences in the students’ analytical exposition writing skills taught by using Google Classroom and conventional technique.  It was supported by average of experimental class improving higher 79,56 to 84,78 than the controlled class from 79,94 to 81,08.  The significant level of test can be seen from the normality test is 0,357.  It shows that the ability of analytical exposition writing skills by using Google Classroom better than conventional technique.  The differences in the students’ analytical exposition writing skills between field-independent and field-dependent of cognitive learning style can be seen from the average of the significance score is 0,00.   It means the null hypothesis is accepted and there was no significance relationship between class using Google Classroom and cognitive independent field learning style class. Thus, the teaching technique by using Google Classroom is effective in improving on students’ cognitive–based analytical exposition writing skill.
On the set of deterministic phenomena preceding the earthquake June 25, 2021 with a magnitude of 5.4 near the city of Yayladere (Turkey)
Authors: Volvach Alexandr , Kogan Lev P. , Kanonidi Konstantin H. , Bubukin Igor , Shtenberg Valeria B. , Volvach Larisa N.
Published: March 2023

Abstract. The article examines the 5.4 magnitude earthquake that occurred on June 25, 2021 in the vicinity of Yayladere (Turkey). The analysis of the geomagnetic measurements carried out revealed a set of deterministic processes that preceded this event and are interpreted as its precursors. An estimate is made of the average time between the interval of existence of such phenomena and the moment of the earthquake under consideration. As a result, close values of the corresponding averaged time intervals were obtained for the statistics of all three components of the geomagnetic field considered in the article. The proposed technique can be used to predict seismic processes in various regions of the world in a near real-time mode.
Scenario set-up and forcing data for impact model evaluation and impact attribution within the third round of the Inter-Sectoral Model Intercomparison Project (ISIMIP3a)
Authors: Frieler Katja , Volkholz Jan , Lange Stefan , Schewe Jacob , Mengel Matthias , Rivas López María del Rocío , Otto Christian , Reyer Christopher P. O. , Karger Dirk Nikolaus , Malle Johanna T. , Treu Simon , Menz Christoph , Blanchard Julia L. , Harrison Cheryl S. , Petrik Colleen M. , Eddy Tyler D. , Ortega-Cisneros Kelly , Novaglio Camilla , Rousseau Yannick , Watson Reg A. , Stock Charles , Liu Xiao , Heneghan Ryan , Tittensor Derek , Maury Olivier , Büchner Matthias , Vogt Thomas , Wang Tingting , Sun Fubao , Sauer Inga J. , Koch Johannes , Vanderkelen Inne , Jägermeyr Jonas , Müller Christoph , Klar Jochen , Vega del Valle Iliusi D. , Lasslop Gitta , Chadburn Sarah , Burke Eleanor , Gallego-Sala Angela , Smith Noah , Chang Jinfeng , Hantson Stijn , Burton Chantelle , Gädeke Anne , Li Fang , Gosling Simon N. , Müller Schmied Hannes , Hattermann Fred , Wang Jida , Yao Fangfang , Hickler Thomas , Marcé Rafael , Pierson Don , Thiery Wim , Mercado-Bettín Daniel , Forrest Matthew , Bechtold Michel
Published: March 2023

Abstract. This paper describes the rationale and the protocol of the first component of the third simulation round of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP3a, www.isimip.org) and the associated set of climate-related and direct human forcing data (CRF and DHF, respectively). The observation-based climate-related forcings for the first time include high-resolution observational climate forcings derived by orographic downscaling, monthly to hourly coastal water levels, and wind fields associated with historical tropical cyclones. The DHFs include land use patterns, population densities, information about water and agricultural management, and fishing intensities. The ISIMIP3a impact model simulations driven by these observation-based climate-related and direct human forcings are designed to test to what degree the impact models can explain observed changes in natural and human systems. In a second set of ISIMIP3a experiments the participating impact models are forced by the same DHFs but a counterfactual set of atmospheric forcings and coastal water levels where observed trends have been removed. These experiments are designed to allow for the attribution of observed changes in natural, human and managed systems to climate change, rising CH4 and CO2 concentrations, and sea level rise according to the definition of the Working Group II contribution to the IPCC AR6.