bluuebunny/crossref_metadata_2025 huggingface dataset:
Natrix2 – Improved amplicon workflow with novel Oxford Nanopore Technologies support and enhancements in clustering, classification and taxonomic databases
Authors: Deep Aman , Bludau Dana , Welzel Marius , Clemens Sandra , Heider Dominik , Boenigk Jens , Beisser Daniela
Published: October 2023

Sequencing of amplified DNA is the first step towards the generation of Amplicon Sequence Variants (ASVs) or Operational Taxonomic Units (OTUs) for biodiversity assessment and comparative analyses of environmental communities and microbiomes. Notably, the rapid advancements in sequencing technologies have paved the way for the growing utilization of third-generation long-read approaches in recent years. These sequence data imply increasing read lengths, higher error rates, and altered sequencing chemistry. Likewise, methods for amplicon classification and reference databases have progressed, leading to the expansion of taxonomic application areas and higher classification accuracy. With Natrix, a user-friendly and reducible workflow solution, processing of prokaryotic and eukaryotic environmental Illumina sequences using 16S or 18S is possible. Here, we present an updated version of the pipeline, Natrix2, which incorporates VSEARCH as an alternative clustering method with better performance for 16S metabarcoding approaches and mothur for taxonomic classification on further databases, including PR2, UNITE and SILVA. Additionally, Natrix2 includes the handling of Nanopore reads, which entails initial error correction and refinement of reads using Medaka and Racon to subsequently determine their taxonomic classification.
Matérialiser l’absence : Arts et mémoires des disparitions au Mexique
Authors: Melenotte Sabrina
Published: October 2023

À partir d’observations ethnographiques et des analyses d’œuvres artistiques relatives à la mémoire des disparus et des morts dans la ville de Mexico (Mémorial aux victimes de la violence au Mexique, Mémorial à l’absence, une fête des Morts dédiée aux migrants, deux anti-monuments et le projet collectif Traces de la mémoire), cet article propose une réflexion critique sur l’engagement artistique appréhendé sous le prisme de la mémoire des morts et des disparitions en masse au Mexique. À l’inverse des mémoires officielles, les expériences artistiques issues de la société civile proposent un art de mémoire alternatif et collectif qui redéfinit les contours de l’art protestataire, et de la figure de l’artiste engagé, en adoptant une démarche politique et éthique, proche des victimes et résonnant comme une clameur de justice au-delà du Mexique.
Essai de compréhension de l’effet de la richesse socio-émotionnelle au sein des entreprises familiales sur les décisions des dirigeants en temps de crise
Authors: Rigar Sidi Mohamed , El Majhed Hiba
Published: October 2023

L’année 2020 fut une année riche en rebondissements ayant marqué à jamais la vie des êtres humains et des organisations. Les entreprises omniprésentes dans la composition du tissu économique marocain, en l’occurrence les firmes familiales, avaient subi de plein fouet la crise sanitaire du COVID 19. La priorité vitale pour ces entreprises a toujours été de veiller en continu sur leur pérennité pour assurer la transmission aux générations futures. Dans un tel contexte turbulent, les dirigeants familiaux ont été mis à l’épreuve d’une façon inopinée devant des dilemmes perplexes et ambigus. Ces derniers avaient engendré une crainte de perdre la richesse socio-émotionnelle et en même temps une obligation de persévérer dans sa préservation. L’objectif de ce papier est de capturer l’expérience des dirigeants des entreprises familiales (EF) marocaines pendant cette période de crise planétaire. En s’en servant d’une démarche qualitative par le biais de trois études de cas, nous allons explorer comment chacune des dimensions de la richesse socio-émotionnelle a stimulé l’amont des décisions stratégiques. Ceci contribuera non seulement à apporter du support aux décideurs dans leurs stratégies dans des périodes identiques, mais également à avancer la littérature sur la richesse socio-émotionnelle en l’abordant d’un angle comportemental, encore plus intéressant à explorer en période de crise. Les premiers résultats induisent à ce que cette richesse aiguille effectivement et majoritairement les décisions de ces entreprises. Ainsi, la leçon en matière de risque donné par la crise est celle de ne plus “mettre tous les œufs dans un seul panier”.
Innovation and knowledge transfer in SME - large firm relationships : The automotive subcontracting sector
Authors: Zahir Mustapha , Rabah-Rabbou Mounir
Published: October 2023

L’objectif de ce travail est de montrer que la politique de transfert de connaissances dans les relations de sous-traitance partenariale peut conduire, sous certaines conditions, à la génération d’innovation de produit. Notre étude empirique à visée exploratoire part d’un cas de PME qui s’est engagée dans une relation d’affaire avec un constructeur automobile durant une période de plus de quinze ans. Cette dynamique relationnelle entre les deux partenaires a engendré la mise en place d’une politique de partage de connaissances et de pratiques managériales. L’analyse des données montre que les deux entreprises ont pu combiner les logiques d’exploitation et d’exploration de connaissances dans le cadre de leur politique de partage de connaissance. Dans ce sens, le donneur d’ordre a mis en place des mécanismes et des outils visant à transférer les pratiques managériales et organisationnelles à son sous-traitant. Aussi, cette politique de partage a généré le développement de nouvelles connaissances qui ont permis au sous-traitant d’inscrire la relation non pas dans une logique de domination qui stipule l’obligation de répondre uniquement aux cahiers de charges conçus unilatéralement par le donneur d’ordre, mais plutôt dans une logique de co-développement.
Résilience active, pivot de la compétitivité de l’entreprise Post-Covid 19 : cas des entreprises du secteur industriel au Maroc
Authors: Alami Sofia , Rhouiri Mouhcine , Marghich Abdellatif
Published: October 2023

L’objectif de cet article est d’explorer la nouvelle perception de la compétitivité des entreprises du secteur industriel marocain en post-crise, et ce, à travers une étude exploratoire auprès de sept grandes entreprises industrielles certifiées au Maroc sous l’angle de la théorie des ressources (Barney, 1991, 2001). Pour y arriver, nous nous sommes basés sur une méthode de triangulation de source de données (entretiens et documents), que nous avons soumis à l’analyse moyennant deux outils informatiques d’assistance à l’analyse de données qualitatives (Nvivo V12 et IRaMuTeQ). Les résultats obtenus ont montré que ces entreprises cherchent l’acquisition d’un ensemble de ressources, reflétant une capacité de résilience active essentielle au développement d’un avantage compétitif durable.
La place de la marche en ville : l’infrastructure pédestre
Authors: Monnet Jérôme
Published: October 2023

La place de la marche en ville est aujourd’hui ambiguë car elle à la fois omniprésente et méconnue, libre et entravée, valorisée en tant que loisir et marginalisée dans les politiques de transport. Elle est prise en charge de façon disparate ou réductionniste par les acteurs urbains mais ceux-ci commencent à lui reconnaître un rôle crucial pour la transition écologique, la santé publique et l’inclusion sociale. Pour accompagner ce mouvement, une approche systémique permet, d’une part, de comprendre les dynamiques anciennes et récentes qui aboutissent à cette situation ambiguë et, d’autre part, d’identifier l’infrastructure spécifique sur laquelle pourrait aujourd’hui s’appliquer un urbanisme de la marche.
El edificio de las dos escaleras de Baelo Claudia: un templo neopúnico en la nueva urbe costera
Authors: Bendala Galán Manuel , Rodríguez Gutiérrez Oliva
Published: October 2023

El conocido como “edificio de las dos escaleras” de Baelo Claudia ocupa un lugar privilegiado en el centro público de la ciudad, adosado al sur de la basílica, ocupando buena parte de la plaza enlosada que asoma con una amplia grada a la calle principal de la urbe. Se excavó en los años setenta del siglo pasado, pero desde entonces permanece como un rarum inexplicado, inentendible por su morfología en el marco de una ciudad tradicionalmente abordada como expresión modélica de romanidad. La valoración por los firmantes del sustrato púnico de la ciudad, ha permitido entenderlo, en atención a las escaleras que lo singularizan, como un templo dotado de ascensos para el uso ritual de la terraza superior, lugar de ubicación del altar para los sacrificios, según es habitual en los templos fenicio-púnicos. Esta nueva mirada ha permitido interpretar el pequeño sillar que asoma al fondo de la cella como un posible betilo, imagen anicónica de la divinidad y expresión destacada de la religiosidad púnica, largamente vigente en la Bética romana.
Migration Patterns and Economic Interconnections in the Indian Ocean during the Nineteenth Century
Authors: Nicolini Beatrice
Published: October 2023

The Indian Ocean acted as a central hub, facilitating relationships between the South-Central Asian littorals, the main coasts of Oman, and the Swahili coasts of East Africa from Mogadishu to Kilwa. The focus of this paper is to reevaluate the migration patterns that shaped East African-Swahili societies during the nineteenth century. However, the available literature on this topic has been limited. Specifically, the Baloch in East Africa during the 1800s have often been viewed as a monolithic presence, associated only with defense military squadrons. Nevertheless, it is crucial to recognize the roles played by Asian communities in East Africa, which challenges the conventional belief that Asian groups only arrived in East Africa as military squads between the eighteenth and nineteenth centuries.
Smart Gesture Controlled Systems Using IoT
Authors: Babu C. V. Suresh , Purushothaman Rithika , Anusha K. , Shri Sakthi
Published: October 2023

A new technology called a smart gesture-controlled system enables users to interact with devices and systems by moving their hands or body. It interprets specific user motions into commands that control the system or device utilizing sensors, machine learning algorithms, and software interfaces. This technology has the potential to alter how we interact with technology by making it more approachable to a wider range of users. Gesture recognition systems have been used in human-computer interaction for many years. On the other hand, recent developments in sensors and machine learning algorithms have made it possible to create highly accurate and responsive gesture detection systems.
Internet of Medical Things in Secure Assistive Technologies
Authors: Santhosh B.
Published: October 2023

The Internet of Medical Things (IoMT) is a network of interconnected medical devices, wearable sensors, and various healthcare technologies responsible for gathering and transmitting patient data via the internet. In the context of Secure Assistive Technologies, IoMT can be harnessed to provide uninterrupted monitoring, assistance, and communication with healthcare providers, all while upholding the utmost security and patient privacy. IoMT-based Secure Assistive Technologies encompass a range of devices, including wearable sensors for continuous tracking of vital signs, medication adherence, and other health-related metrics. Additionally, home monitoring systems enable remote patient surveillance and facilitate communication with healthcare providers. These technologies contribute to enhancing patient outcomes by enabling early detection of medical issues, reducing the risk of medical errors, and enhancing patient comfort and mobility. To guarantee the security of these systems, IoMT-based Secure Assistive Technologies employ various measures. These measures encompass secure authentication, data encryption, and other security protocols, all of which are aimed at safeguarding patient data against unauthorized access or interception. Furthermore, they make use of secure communication channels and employ firewalls to counteract cyber threats, ensuring the safe transmission of patient data.
Introduction to Learning Analytics
Authors: Durak Gurhan , Cankaya Serkan
Published: October 2023

Data is critical for educational institutions. Data helps to achieve better results in educational processes. While the concept of educational data has been in existence for some time, the term learning analytics (LA) has gained popularity as a crucial area of focus in recent years. The term LA refers to the systematic process of measuring, collecting, analyzing, and reporting data related to learners and their educational contexts. It can be said that there are four main elements of LA: data, analysis, report, and action. LA offers a range of benefits for education: Prediction of learner outcomes, personalized learning experiences, etc. Despite its benefits, LA raises important ethical concerns. In this chapter, the concept of learning analytics is introduced and its main dimensions are discussed.
Applying Learning Analytics Approaches to Detect and Track Students' Cognitive States During Virtual Problem-Solving Activities
Authors: Pan Zilong , Li Chenglu , Zou Wenting , Liu Min
Published: October 2023

A virtual problem-based learning (PBL) environment can generate large amounts of textual or time-series usage data, providing instructors with opportunities to track and facilitate students' problem-solving progress. However, instructors face the challenge of making sense of a large amount of data and translating it into interpretable information during PBL activities. This study proposes a learning analytics approach guided by flow theory to provide teachers with information about middle schoolers' real-time problem-solving cognitive states. The results indicate that the hidden Markov model (HMM) can identify students' specific cognitive states including flow, anxiety, and boredom state. Based on the findings, a teacher dashboard prototype was created. This study has demonstrated the promising potential of incorporating the HMM into learning analytics dashboards to translate a large amount of usage data into interpretable formats, thus, assisting teachers in tracking and facilitating PBL.
What Challenges Are Holding Us Back From Adopting Learning Analytics?
Authors: Knobbout Justian , van Teylingen Thomas
Published: October 2023

The institutional adoption of learning analytics in the Netherlands is still low. This chapter presents a study on the challenges that Dutch higher educational institutions encounter when adopting learning analytics. The literature describes possible challenges regarding assets, data governance, data literacy, data quality, organizational culture, pedagogical grounding, privacy and ethics, and technical issues. Eight interviews with practitioners from four universities verified that all these challenges are causing problems for Dutch institutions as well. The practitioners provided recommendations on how to overcome these adoption challenges. Higher educational institutions need to demonstrate the value of learning analytics, provide users with training, clearly identify users' needs, and establish a ‘one-stop-shop' that acts as a single contact point within the organization. Combined with recommendations already present in the literature, this helps accelerate the successful adoption of learning analytics by Dutch higher educational institutions.
Formative Analytics in Action
Authors: Andrade António M. , Trindade Maria A. M.
Published: October 2023

This chapter addresses the imperative for effective monitoring and progress tracking within the realm of education by introducing three innovative components: a teacher app, a formative learning report (FLR), and a dashboard. These components capitalize on the potential of formative analytics, affording professors a dynamic platform to comprehensively monitor and evaluate student progress, while simultaneously furnishing students with weekly reports that encompass general statistics spanning diverse evaluation components of the course. A survey was administered to 81 first-year undergraduate students enrolled in a management course, all of whom utilized the FLR as part of the Information System Course. The findings of this study underscore the constructive impact of the FLR on students' motivation, self-esteem, and learning outcomes. Nonetheless, the study also revealed areas in need of improvement, with particular emphasis on the necessity for more comprehensive information about student performance. These insights might be valuable for improving the learning process.
Educational Data Mining in Improving Outcome-Based Education for Higher Studies
Authors: Parkavi A. , Alex Sini Anna , Evangeline D. , Pallavi
Published: October 2023

Educational data mining (EDM) is mostly connected with providing mining of data related to educational settings in university such as efficient and intelligent tutorial handling and lab management. This field is closely tied to learning analytics, where both are critically compared and contrasted. Another application is to analyse student performance and cluster them. This field does the prediction of students' behaviour, which is the major part of EDM application. EDM uses data mining techniques to analyse large amounts of student data in the educational environments. The main purpose of EDM is to analyse and solve educational issues. Many applications are built using EDM, such as course dropout prediction, emotional analysis, and predicting the chance of students failure in exams. IN this chapter introduction to EDM, applications, Techniques of EDM, advantages and disadvantages of EDM are discussed.
Applying Learning Analytics in Designing for Professional Skills and Attributes in Tertiary Education
Authors: Huijser Henk , Arthars Natasha , Cook Roger , Cunningham Sam , Kickbusch Steven , Thompson Kate , Vasco Daniela , Winter Gavin
Published: October 2023

In this chapter the authors explore the use of learning analytics (LA) to track skills acquisition in tertiary education environments, with a specific focus on group work skills. They discuss the importance of design for learning with regards to developing professional attributes and skills for collaborative group work projects, before considering the role of learning analytics in shaping educational experiences that relate to such skills and attributes. Finally, they outline a design process used to develop and implement an iterative learning analytics evaluation approach to the design for learning in collaborative team projects.
Multimodal Learning Analytics for Educational Digital Storytelling
Authors: Lambropoulos Niki
Published: October 2023

Learning analytics (LA) identify patterns and insights to inform the teaching and learning process based on opportunities with new forms of digital data from students' creative and collaborative learning activities, for example in computer-supported collaborative learning (CSCL) and educational digital storytelling (EDS). Multimodal learning analytics (MMLA) offer opportunities to enhance students' outcomes in collaborative learning and can be used by both teachers and learners. Teachers can guide and regulate their students' activities through actionable knowledge; students can externalize and communicate their thoughts, feelings, and experiences, and be inspired by their teachers. Because of the discrepancies in the ways EDS can be structured and evaluated, this chapter proposes MMLA for EDS based on the hero's journey clock to inform, measure, and raise students' awareness, learning processes, active participation, and engagement in their collaborative learning.
Learners' Online Interactions and Their Self-Regulation Learning Skills From a Learning Analytics Perspective
Authors: Atabay Melek , Çakiroğlu Ünal
Published: October 2023

Online learning requires improved self-regulation. LMSs with their affordances provide log data, including learners' interactions, to extract information for self-regulated learning. This chapter includes various views on the requirements for online self-regulation skills. Additionally, the model can be adapted to address self-regulation in online learning. Moreover, approaches to determining online self-regulation regarding online learners' interactions were discussed. The systems developed to support the self-regulation skills of online learners are presented, along with the design features of the related systems and also the results of the system developed within the scope of this study. The chapter also covers the links between interactions and LMS activities, which are established considering the nature of self-regulated learning.
A Learning Analytics Architecture for a Smart University
Authors: Matsebula Fezile , Mnkandla Ernest
Published: October 2023

In this scholarly chapter, an architecture of the big data-enabled learning analytics framework in a smart university is developed. The objective of the architecture is to make an attempt to seamlessly integrate the generation, acquisition, cleaning or pre-processing, storage management, analytics, visualization, and alerts in a learning analytics in a smart university. The architecture is tailored for a university with advanced technologies such as artificial intelligence. Smart universities can use learning analytics to boost student learning, optimize educational processes, and make data-informed decisions by understanding the essential elements, data flow, and technology involved. The chapter also discusses the benefits, challenges, and ethical considerations associated with implementing learning analytics in smart university environments.
Utilizing Learning Analytics in an Automated Programming Assessment System to Enhance Software Practice Education
Authors: Nguyen Bao-An , Nguyen Nhut-Lam , Chen Hsi-Min
Published: October 2023

This chapter explores the integration of learning analytics (LA) into ProgEdu, an automated programming assessment system (APAS), with a focus on improving students' programming education outcomes by considering code quality. Through the analysis of code quality improvements, metric calculation, visualization analysis, latent profile analysis, clustering and prediction can be performed. In individual assignments, LA enables the monitoring of student engagement, identification of student profiles, and early detection of at-risk students. For team projects, LA facilitates the assessment of individual contributions, tracking of team members' participation, identification of discrepancies in teamwork-sharing, detection of student profiles based on their contributions, and recognition of free-riders. The approach promotes the integration of LA into APAS to facilitate instructors in understanding students' learning behaviors and enable them to diagnose issues and provide targeted interventions, by which programming education in university settings is enhanced.
The Matriarchs of Africa
Authors: Musingafi Tsitsi Mhike
Published: October 2023

This chapter discusses African women warriors and leadership in the precolonial African history, the history which has been pushed into the fringes since the intrusion of Western civilisation into African affairs. In precolonial Africa women were not left out in governance as exemplified in the Ancient Nubia, Egypt, Berber, queen mother and women leadership cases. The Benin queen mothers; the Dahomey; the Asante; the Buganda; and the Eswatini queen mothers are discussed as sample presentations on how this arrangement has ensured women involvement in the socio-economic and political affairs of their communities. Sample matriarchal warriors, queens and leaders (Amina, Asentewaa and Nehanda) are discussed to demonstrate women urgency and leadership in precolonial African societies.
African Feminist Perspectives on African Culture
Authors: Mokhothu Pascalinah Morongoenyane , Musingafi Maxwell Constantine Chando
Published: October 2023

This chapter explores the concept of culture and how it is viewed in relation to feminism in Africa. The chapter starts by discussing the concept of culture, the status of women in precolonial Africa, and developments during colonialism to demonstrate gender inequality does not have its roots in Africa. Next, the chapter discusses two views on the relationship between African culture and the status of women in Africa: one originating from Western sisters and other “sympathizers” arguing that African culture is detrimental to women's freedom and thus reduces African women to objects of pity; and the other one mainly arguing that if African women are really oppressed today, African culture is not to blame, but contact with the West. The chapter then discusses genital modification as a controversial custom and traditional practice in African culture. Nevertheless, the practising women themselves say they benefit from the practices and therefore do not want to stop them. The chapter closes by discussing the way forward for African feminism and culture.
The Emancipation of Women in Africa Using African Decolonial Feminism
Authors: Chakabwata William
Published: October 2023

Numerous feminist ideologies were conceived in the west with a purported goal of liberating women globally. Decolonial scholars have questioned the association of feminists from the west with colonialism and the attendant privileges they secured from it. Skeptics of traditional feminism have questioned its Eurocentric presupposition to liberate women universally and now advocate decolonial feminism as an alternative due to the way it seeks to disentangle Africa, from the shackles of global capitalism, racism, and gendered relations. Africa today is beset with numerous challenges such as a growing young population which is unemployed, climate change, authoritarian political systems, and unequal trade relations between the Global North and the Global South. Europe has also taken advantage of its control over knowledge production to maintain a stranglehold on Africa. It is within this context that decolonial feminism, advocacy that Africa must fight for the emancipation of women, taking into account all the dominant forces of oppression holding the continent and its people backward.
The Protector Who Becomes the Abuser
Authors: Mwakasenga Upendo
Published: October 2023

In the Zambian marriage context, men are described as protectors and defenders of the family. The woman in Judges 19 represents many Zambian women who have died in marriages due to gender-based violence. Judges 19 represents the failure of the parents, husband, and the church to protect and defend women who are abused. The study aims to speak for the voiceless and find if there are alternative ways women can use to protect and liberate themselves from abuses. The study shows men's role in protecting and abusing women in Judges 19. The study helps us understand a woman's silent voice in Judges 19, which led to gender-based violence (GBV). Using feminist lenses, the study focuses on the concubine abuses that lead to murder. Re-reading Judges 19 in the context of GBV in Zambia can help the church to advocate for change within religious spaces and societal shift that challenges violence and discrimination against women and children. It encourages the church to explore means and ways to prevent GBV, support survivors, and create a more inclusive, equitable society.
Crafting an Experiencescape for Sustainable Cultural Tourism
Authors: Kapil Saumya , Varghese Bindi
Published: October 2023

India, known for its rich and varied cultural heritage, hosts numerous fairs and festivals as vibrant platforms to showcase its diversity. Events like the Kala Ghoda Arts Festival, Ellora-Ajanta International Festival, Surajkund Crafts Mela, Pushkar Fair, and many others celebrate the country's artistic and cultural wealth. This book chapter explores sustainable culture and heritage development in Udaipur's craft village, ‘Shilpgram.' The village hosts an annual craft fair during the peak tourist season, attracting artists across India to showcase their unique crafts, folk dances, and paintings. This chapter assesses Shilpgram's feasibility as an experiencescape model using a case study method. Interviews with key stakeholders provided insight into the destination's difficulties, strengths, and best practices. The study adds to our understanding of cultural locations' responsibilities in cultural tourism by balancing historical preservation with current expectations.
Virtual Museums in the Conservation of Cultural Heritage and Satisfaction Level With Visits to Virtual Museums
Authors: Uzun Funda Varnaci
Published: October 2023

In this part of the book, the importance of virtual museums and their place in the conservation of cultural heritage and cultural heritage tourism will be emphasized. In this part, first, the concept of museum, the emergence and development of virtual museums, the importance of museums and virtual museums in the conservation and cultural heritage tourism and transfer of cultural heritage to future generations, the importance of virtual museums in terms of education will be conceptually explained. The increasing importance of virtual museums during the Covid-19 pandemic will also be mentioned by giving examples around the world. Within the context of the current study, students attending Aksaray University (Turkey) will be made to visit virtual museums of various museums around Turkey and the world. After the visit, the Virtual Museum Satisfaction Scale will be administered to the students. The data to be collected through the scale will be evaluated by using descriptive analysis and difference analyses applied in relation to different variables.
Smart Tourism
Authors: Díaz-Parra Ocotlán , Fuentes-Penna Alejandro , Marroquín-Gutiérrez Francisco , Rodríguez-Lara Blas Manuel , Salgado Ramírez Julio C. , Trejo-Macotela Francisco R. , Aguilar-Ortiz Jaime
Published: October 2023

The tourist cities that apply technology help to strengthen and to facilitate the communication of the tourists with the sporting, cultural, and scientific aspects of a city. This chapter aims to be a guide for understanding smart tourism components by presenting a survey of the characteristics, history and future trends. Smart tourism is the innovation and the adoption of information and communication technologies in tourism. Smart tourism additionally must consider natural attractions, cultural (music festival), accessibility of transportation, amenity characteristics, ancillary services (banks, hospitals), innovative hubs for electric vehicles with a mobile app to check the availability status of charging cars, and the infrastructure of professional sports. The smart tourism is the optimal administration of the personnel or object related to the tourism by using technology like the internet of tourism things, data-mining, artificial intelligence, combinatorial optimization, machine learning, and others to enhance the quality of the tourism.
Boiling Temperature and Particle Size Effect on the Tensile Strength of Rice Straw-Based Biomaterials
Authors: Pinem Mekro Permana , Yusuf Yusvardi , Pamungkas Nugroho Jati , Dharmesta Jefri , Yudha Kurniawan P. , Satria Dhimas , Sukamto Dwinanto
Published: October 2023

The particle size of the rice straw and boiling duration play an essential role in the applicability of this material. They affect the rice straw’s mechanical properties, which is one of the critical parameters in bio-based material development. In order to have a clear insight into the effect, rice straw particle materials form without a hot press machine route to avoid bias due to the material response to the pressure and heat transfer effect. The rice straw particle incorporates corn starch as a bio-adhesive with an equal composition ratio. It turns out that finer particle sizes (mesh 60 and 40) achieve higher tensile strength compared to mesh 18 particles. The optimum boiling duration is two hours. Longer boiling times reduce the mechanical properties of rice straw particle-based materials.
Reading Supreme Courts from afar: Topic modelling judgements of the Supreme Courts of Sri Lanka and the United Kingdom
Authors: Abeywardena Sandani Yapa
Published: October 2023

In legal scholarship, court judgments are pivotal in shaping jurisprudence. Situated within the field of digital humanities as it applies to legal texts, this article takes a closer look at the underlying themes in Supreme Court judgments by applying topic modelling to the judgments delivered by the Supreme Court of Sri Lanka (LKSC) and the United Kingdom Supreme Court (UKSC). Using two custom datasets curated by (web) scraping the respective LKSC and UKSC websites, this article employs Latent Dirichlet Allocation (LDA) with the Machine Learning for Language Toolkit (MALLET), a commonly used tool for topic modelling by digital humanists, to identify topics (themes) that represent the main areas of law in each jurisdiction primarily dealt with by the respective courts. 25 was selected as the number of topics after experimentation, and the topics identified in each jurisdiction were manually labelled. The results reveal the composition and evolution of judicial workloads, the shifting socio-political priorities in each jurisdiction, as well as the similarities and differences between the two courts. The findings have several implications for legal research and practice. These suggest that topic modelling can be used as a tool to organize and categorize judgments based on their themes, which can facilitate access and retrieval of relevant cases, and identify priority areas for judicial and legal training. They also challenge conventional legal taxonomies and classifications, and demonstrate the potential of computational methods for enhancing the understanding and analysis of law.
Kaduwa, humor and language policing: Memes and folk linguistics in Sri Lanka
Authors: Medawattegedera Vivimarie Vanderpoorten
Published: October 2023

This article takes the position that knowledge and opinions about language and the intersections between language and society don’t belong merely to the academic world but also are alive in, and activated by, the community. It considers Internet memes as folklore, and memes about languages in Sri Lanka and the English language in particular as expressions of folk linguistics — the field that investigates what non-linguists know and feel about language topics and any area of linguistics that non-specialist folk engage with — since everyone has an opinion about language in general or about particular languages and how languages should be used. Such attitudes can privilege some varieties and/or accents and languages over others, sustaining and re-creating power structures. Therefore, this article, drawing on the theoretical lens of Folk linguistics and Language Ideology, and taking the position that memes posted on the Internet depict grassroots level prescriptivist views about language, uses discourse analysis to examine a corpus of memes published on the social media platforms Facebook and Twitter between 2018 and 2022 in order to reassess the complexities and tensions as well as attitudes towards English in Sri Lanka. It was found that while old divisions related to English still exist and attitudes toward English are still complex and contradictory, there are more nuanced and complex views related to the learning of and speaking English in Sri Lanka.
Algorithms used for facial emotion recognition: a systematic review of the literature
Authors: Ubillús José Armando Tiznado , Quispe José Alfredo Herrera , Escriba Luis Antonio Rivera , Ladera-Castañeda Marysela , Pacherres César Augusto Atoche , Pacherres Miguel Ángel Atoche , Saavedra Carmen Lucila Infante
Published: October 2023

INTRODUCTION: We currently live in a society that is constantly changing and technology has developed algorithms that allow facial emotion recognition, because facial expression transmits people's mood, feelings and state of soul. However, it is required that future research can improve the quality of emotion detection by improving the quality of the data set and the model used, for this reason, it is necessary to investigate other machine learning algorithms in the recognition of facial emotions, as they exist. identification deficiencies that limit the discrimination of extracted structural features.OBJECTIVE: The purpose of the article was to analyze the most used algorithms for facial emotion recognition, through a systematic literature review, according to the PRISMA method.METHOD: A search for information was carried out in articles published in open access such as: Scopus, Web of Science (WOS) and Association for Computing Machiner (ACM) in the period 2022 and 2023, totaling 38 selected articles.RESULTS: The results obtained indicate that the algorithms most used by the authors are SVM and SoftMax with a total of 17.65% each.CONCLUSION: It is concluded that the SVM and SoftMax algorithms are the most predominant, playing a crucial role in achieving optimal levels of precision in the training of the models. These algorithms, with their robustness and ability to deal with complex data, have proven to be fundamental pillars in the field of facial emotion recognition.
Information Security Construction of SPOC: Path Selection for Japanese Information Acquisition
Authors: Chen Lei
Published: October 2023

INTRODUCTION: In the traditional oral Japanese teaching model, Japanese courses emphasize theoretical knowledge of vocabulary and grammar, with few practical functions, low student interest in learning, and low attendance in class. They have made breakthroughs in information technology, e-commerce, and other professional fields.
METHODS: A traditional teaching format is used, with the mains taught by teachers, without using learning platforms or offline teaching. Each lesson contains three elements: preschool, instructional practices, and external extensions. A cloud-based classroom learning platform is part of Cyber Chemistry's preschool and out-of-school learning. Classroom instruction consisted primarily of discussions and exchanges between teachers and students, competitive exercises, and visualization of the results of conversations. To test the effectiveness of the SPOC-based model, the authors administered two speaking tests, as well as related questionnaires and interviews, during and at the end of the test.
RESULTS: Improvements in the intermediate pretest and post-test speaking tests compared to the control group suggest that the Japanese hybrid speaking test model, SPOC, is positively compelling.
CONCLUSION: The class stimulates students' interest and motivation. It plays an active role in developing good learning practices and improving the learning of spoken Japanese.
Design and Application of Evaluation Method for Civics Classroom Based on CRITIC Fuzzy Algorithm
Authors: Chang Zhanyu
Published: October 2023

INTRODUCTION: Through in-depth study of mathematics classroom evaluation, teachers can be provided with scientific evaluation indexes and methods to improve the quality and effectiveness of teaching, promote the overall development of students, and promote the professional growth of teachers.
OBJECTIVES: Based on the CRITIC and fuzzy comprehensive evaluation methods, this study aims to investigate the effectiveness and accuracy of evaluation methods in math classrooms. Based on the CRITIC method, the undefined complete evaluation method was introduced to solve the problem of subjectivity and uncertainty in the evaluation process.
METHODS: Various research methods were used, including observation, interviews, and questionnaires. By comprehensively analyzing the students' performance, feedback and assessment, and the teachers' pre-class preparation, and using the CRITIC and fuzzy comprehensive evaluation methods, the Author can accurately evaluate the strengths and the direction of improving mathematics classroom teaching.
RESULTS: The study results show that the CRITIC and fuzzy comprehensive evaluation methods can provide a more comprehensive, accurate, and objective evaluation of the math classroom. The undefined complete evaluation method plays a vital role in dealing with ambiguity and uncertainty in the evaluation process, making the evaluation results more objective and reliable.
CONCLUSION: Mathematics classroom evaluation methods based on the CRITIC and fuzzy comprehensive evaluation methods are effective and accurate. These findings strongly support improving the quality of mathematics classroom teaching and enhancing students' learning outcomes.
Application Entropy Weight and TOPSIS Method in English Teaching Quality Evaluation of "Smart Classroom"
Authors: Chen Qingqing
Published: October 2023

INTRODUCTION: Based on TOPSIS (Technological Ordering of Superiority and Inferiority) and entropy weight method, it aims to evaluate the quality of intelligent classroom English teaching. The brilliant classroom teaching model has attracted much attention for its highly interactive, personalized, and real-time feedback features; however, how to accurately evaluate the quality of intelligent classroom teaching remains a challenge.
OBJECTIVES: To combine the TOPSIS and entropy weight methods in practical application and consider the index ordering and weight calculation comprehensively to arrive at the quality evaluation results of each brilliant classroom teaching.
METHODS: The TOPSIS method is first used to rank multiple indicators of teaching quality to determine the optimal teaching quality. The TOPSIS method can consider the interrelationships between the hands and find the solution closest to the positive ideal solution and farthest away from the negative perfect solution by calculating each indicator's positive and negative perfect solutions. Then, the weight of each hand is calculated by combining the entropy weight method. The entropy weight method can consider the indicators' information and differences and measure the degree of their contribution to the evaluation results by calculating the entropy value of the hands.
RESULTS: The results show that the method can comprehensively consider the correlation and weight of multiple indicators, provide teachers and educational administrators with accurate teaching quality evaluation and improvement suggestions, and thus promote the optimization and enhancement of innovative classroom teaching.
CONCLUSION: By analyzing the actual smart classroom teaching data, the Author found that the method can effectively evaluate the quality of intelligent classroom teaching and provide valuable guidance for English teaching improvement.
Grouping Analysis of QCA for International Ecotourism Destinations in Cloud Computing Era of Geo-ecology
Authors: Gao Heng , Lei Jia
Published: October 2023

INTRODUCTION: The Internet era has made the world more closely connected, and ecotourism has also caught up with the Internet era of cloud computing, making more and more international ecotourism destinations in China known to the world. China's global ecotourism industry has made significant progress, but it needs to be better to construct international ecotourism destinations. Therefore, conducts the grouping analysis of QCA of international ecotourism destinations in the cloud computing era of geo-ecology.
OBJECTIVES: To improve the construction level of China's international ecotourism destinations and promote the in-depth development of China's global ecotourism; to solve the dilemma that China's ecotourism destinations are imperfectly constructed, and the brand can not go out; and to promote the enhancement of tourism concepts of international ecotourism destinations in the age of computers.
METHODS: Firstly, the feasibility analysis of international ecotourism destination construction in the cloud computing era is carried out by using QCA analysis and histogram analysis; secondly, the relevant QCA model is established to analyze the influencing factors of international ecotourism destination construction; lastly, the tripartite game model is utilized to explore the benefits of international ecotourism destinations for the residents, the government, and the enterprises.
RESULTS: The construction of international ecotourism destinations in China is feasible from the perspectives of functional spatial configuration, economic development, cultural tradition, and natural environment; the structure of international ecotourism destinations has an apparent positive driving effect on the construction sites; the tripartite game model shows that there are positive benefits not only for the residents, government, and enterprises but also for the related groups and tourists.
CONCLUSION: From the full text of the study, the construction of international ecotourism destinations has a significant driving effect on China's economy; however, the tourism industry in the era of cloud computing needs to be further standardized, and the construction of international ecotourism destinations should be strengthened.
Digital Smart Manufacturing Context Urban Street Space Design Landscape Elements Retrofit Analysis
Authors: Song Lei
Published: October 2023

INTRODUCTION: With the growth of the economic level, China's urban residents' urban living standards are also increasingly high, which has produced the story of an urban street space design to improve the requirements. Moreover, with intelligent manufacturing and other computer technology to enhance the efficiency of various industries, smart manufacturing applied to urban spatial design landscapes also has a prototype.
OBJECTIVES: To improve the level of digitization in China, the application of intelligent manufacturing in urban street space design; to promote the transformation of urban landscape elements, urban modernization will increase the level; to solve the problem of the urban environment improvement and economic development is not synchronized; to promote the modernization of urban development, enhance the level of urban informatization and intelligence.
METHODS: Firstly establishes the Wells equation of the optimal path of intelligent manufacturing through the technique of theoretical exposition; secondly, analyzes people's demand for urban street space design by using the method of data statistics and analysis; lastly, summarizes the principles to be followed in the creation of urban street space and the construction outlook through case study.
RESULTS: The Wells equation of the optimal path of smart manufacturing shows that intelligent manufacturing has a significant positive effect on the efficiency of urban street space design; the results of data statistics and analysis show that the current level of urban street space design cannot meet people's growing spiritual and cultural needs; the results of the case study show that the design of urban street space should follow the design principles of safety, closeness to nature, and human-centeredness.
CONCLUSION: Urban street space design in the context of digital intelligent manufacturing should be done promptly, and the level of urban landscape design should be strengthened to meet people's growing spiritual and cultural needs in the post-New Crown epidemic era.