bluuebunny/crossref_metadata_2025 huggingface dataset:
Monitoring Cometary Activity of 60P/Tsuchinshan During Its 2018–2019 Apparition
Authors: Shi Jianchun , Xu Ruiqi , Ma Yuehua , Hu Shoucun , Zhao Haibin , Li Fan , Yuan Ye
Published: January 2023

Comet 60P/Tsuchinshan is a Jupiter family comet. Since the discovery of 60P/Tsuchinshan, little research for cometary activity has been conducted on this comet, though it has returned to perihelion several times. To study the physical properties and activity characteristic of 60P/Tsuchinshan during its 2018–2019 apparition, we observed 60P/Tsuchinshan with broadband B, V, and R filters from 2018 November to 2019 March by using the 80 cm Yaoan High Precision Telescope at Yaoan Station of Purple Mountain Observatory, Chinese Academy of Sciences. Morphological analysis and photometric studies of 60P/Tsuchinshan were performed. The color indices, Af
ρ values, and dust production rates of 60P/Tsuchinshan were obtained. Morphological analysis showed that the comet was active and several images showed a spiral structure in the inner coma; this structure is regardless of the enhancement methods and cannot be explained by the rotation of 60P. The Af
ρ curve showed that the peak activity of 60P/Tsuchinshan was at about 10 days after perihelion. Compared to other Jupiter family comets at similar heliocentric distances, we found that 60P/Tsuchinshan was a very active comet. Dynamical analysis showed that 60P/Tsuchinshan’s perihelion distance was reduced from 1.77 to 1.62 au due to the close encounter with Jupiter that occurred on 2008 December 20; this may increase its activity in the next apparition.
A Highly Magnified Gravitationally Lensed Red QSO at z = 2.5 with a Significant Flux Ratio Anomaly
Authors: Glikman Eilat , Rusu Cristian E. , Chen Geoff C.-F. , Chan James Hung-Hsu , Spingola Cristiana , Stacey Hannah , McKean John , Berghea Ciprian T. , Djorgovski S. G. , Graham Matthew J. , Stern Daniel , Urrutia Tanya , Lacy Mark , Secrest Nathan J. , O’Meara John M.
Published: January 2023

We present the discovery of a gravitationally lensed dust-reddened QSO at z = 2.517, identified in a survey for QSOs by infrared selection. Hubble Space Telescope imaging reveals a quadruply lensed system in a cusp configuration, with a maximum image separation of ∼1.″8. We find that, compared to the central image of the cusp, the neighboring brightest image is anomalous by a factor of ∼7–10, which is the largest flux anomaly measured to date in a lensed QSO. Incorporating high-resolution Very Large Array radio imaging and submillimeter imaging with the Atacama Large Millimeter/submillimeter Array, we conclude that a low-mass perturber is the most likely explanation for the anomaly. The optical through near-infrared spectrum reveals that the QSO is moderately reddened with E(B − V) ≃ 0.7–0.9. We see an upturn in the ultraviolet spectrum due to ∼1% of the intrinsic emission being leaked back into the line of sight, which suggests that the reddening is intrinsic and not due to the lens. The QSO may have an Eddington ratio as high as L/L
Edd ≈ 0.2. Consistent with previous red QSO samples, this source exhibits outflows in its spectrum, as well as morphological properties suggestive of it being in a merger-driven transitional phase. We find a host galaxy stellar mass of

log

M

⋆

/

M

⊙

=
11.4

, which is higher than the local M
BH versus M
⋆ relation but consistent with other high-redshift QSOs. When demagnified, this QSO is at the knee of the luminosity function, allowing for the detailed study of a more typical moderate-luminosity infrared-selected QSO at high redshift.
Effects of Planetesimal Scattering: Explaining the Observed Offsets from Period Ratios 3:2 and 2:1
Authors: Ghosh Tuhin , Chatterjee Sourav
Published: January 2023

The observed deficit and excess of adjacent planet pairs with period ratios narrow and wide of 3:2 and 2:1, the nominal values for the corresponding mean-motion resonances (MMRs), have intrigued many. Previously, using a suite of simulations, Chatterjee & Ford showed that the excess above the 2:1 MMR can be naturally explained if planet pairs, initially trapped in the 2:1 MMR, dynamically interact with nearby planetesimals in a disk. We build on this work by (a) updating the census of discovered planet pairs, (b) extending the study to initially nonresonant as well as resonant planet pairs, (c) using initial planet and orbital properties directly guided by those observed, and (d) extending the initial period ratios to include both 2:1 and 3:2. We find that (1) interactions with planetesimals typically increase the period ratios of both initially resonant and nonresonant planet pairs; (2) starting from an initially flat period ratio distribution for systems across 3:2 and 2:1, these interactions can naturally create the deficits observed narrow of these period ratios; (3) a contribution from initially resonant planet pairs is needed to explain the observed levels of excess wide of 3:2; and (4) a mixture model where about 25% (1%) of planet pairs were initially trapped into 3:2 (2:1) MMRs is favored to explain both the observed deficit and excess of systems across these period ratios. However, up to a few percent of planet pairs are expected to remain in MMR today.
Light Curves and Event Rates of Axion Instability Supernovae
Authors: Mori Kanji , Moriya Takashi J. , Takiwaki Tomoya , Kotake Kei , Horiuchi Shunsaku , Blinnikov Sergei I.
Published: January 2023

It was recently proposed that exotic particles can trigger a new stellar instability that is analogous to the e
−
e
+ pair instability if they are produced and reach equilibrium in the stellar plasma. In this study, we construct axion instability supernova (AISN) models caused by the new instability to predict their observational signatures. We focus on heavy axion-like particles (ALPs) with masses of ∼400 keV–2 MeV and coupling with photons of g

a
γ
∼ 10−5 GeV−1. It is found that the 56Ni mass and the explosion energy are significantly increased by ALPs for a fixed stellar mass. As a result, the peak times of the light curves of AISNe occur earlier than those of standard pair-instability supernovae by 10–20 days when the ALP mass is equal to the electron mass. Also, the event rate of AISNe is 1.7–2.6 times higher than that of pair-instability supernovae, depending on the high mass cutoff of the initial mass function.
Photons’ Scattering in Relativistic Plasma with Velocity Shear: Generation of High Energy Power-law Spectra
Authors: Vyas Mukesh K. , Pe’er Asaf
Published: January 2023

A high energy power law is a common feature in the spectra of many astrophysical objects. We show that the photons in an unmagnetized relativistic plasma composed of electrons and protons with a variable Lorentz factor (or a velocity shear) go through repeated scattering with electrons to gain energy. The escaped population of photons naturally produces a power-law-shaped spectrum making it a photon’s analog to the conventional Fermi acceleration mechanism for charged particles. Thus, this mechanism provides a natural alternative to current explanations of high energy power-law spectra via synchrotron or thermal Comptonization. The model is applicable to any relativistic plasma beam with an arbitrary Lorentz factor profile. We implement the theory to the gamma-ray burst prompt phase and show that the obtained range of the photon indices is compatible with the observed values and the results of Monte Carlo simulations that we carry out independently. Therefore, the observed high energy spectral indices provide a unique indicator of the jet structure.
An Ancient Martian Dynamo Driven by Hemispheric Heating: Effect of Thermal Boundary Conditions
Authors: Yan Chi , Barik Ankit , Stanley Sabine , Leung Jason S.-Y. , Mittelholz Anna , Johnson Catherine L. , Plesa Ana-Catalina , Rivoldini Attilio
Published: January 2023

Magnetic field observations from the MGS, MAVEN, and InSight missions reveal that a dynamo was active in Mars’s early history. One unique feature of Mars’s magnetic crustal field is its hemispheric dichotomy, where magnetic fields in the southern hemisphere are much stronger than those in the northern hemisphere. Here we use numerical dynamo simulations to investigate the potential hemispheric nature of Mars’s ancient dynamo. Previous studies show that a hemispheric heat flux perturbation at the core–mantle boundary could result in either a stable hemispherical magnetic field or a constantly reversing field, depending on choices of parameters used in those models. These two scenarios lead to different implications for the origin of crustal fields. Here we test the dynamo sensitivity to varying hemispheric heat flux perturbations at the core–mantle boundary in a broader parameter regime to understand whether a hemispheric dynamo is likely for early Mars. We find that features of the dynamo change from stable, hemispheric magnetic fields to reversing, hemispheric fields, with increasing hemispheric heat flux perturbations at the core–mantle boundary. We also find that magnetic fields powered by bottom heating are more stable and transition from a nonreversing, hemispheric magnetic field to a multipolar field at higher hemispheric heat flux perturbations, while the transition happens at a much lower heat flux perturbation for magnetic fields powered by internal heating.
Comparison of blood biochemical parameters of four species of vultures
Authors: Petrov Rusko , Yarkov Dobri , Chaprazov Tsvetan , Andonova Yana , Dimitrova Stefka , Lazarova Ivanka
Published: January 2023

Vultures play a very important role in ecosystems by feeding on dead animals and preventing the spread of pathogens. In the mid-20thcentury in Bulgaria, all species of vultures experienced a rapid population decline and conservation measures include captive breeding and release via adaptation aviaries. Knowledge of the baseline blood biochemical parameters is crucial for the care, rehabilitation and prior to the release of endangered birds of prey. Plasma levels provide valuable information for the evaluation of the physical condition of animals.

Between 2020 and 2022, we took blood samples from captive Bearded, Griffon, Cinereous and Egyptian Vultures in Bulgaria (n = 118). We determined the values of 18 parameters - alanine transaminase, albumin, alkaline phosphatase, amylase, aspartate transaminase, calcium, chloride, cholesterol, creatine kinase, creatinine, glucose, lactate dehydrogenase, magnesium, phosphorus, total bilirubin, total protein, triglycerides and uric acid. This research determined the mean blood biochemical indices for aviary Bearded, Griffon, Cinereous and Egyptian Vultures in Bulgaria and compared the values amongst the four vulture species, to serve in determining clinical pathology and nutrition for scavenger birds of different species, age groups and genders in the country.

The results of this study suggested that there are significant differences between many of the indicators of the four vulture species. There are fewer differences in the indicators of different ages of birds of a given species and almost no differences are found between the two sexes of a species. These values could be used by scientists, veterinary pathologists, wildlife rehabilitation centres and other researchers. Furthermore, the use of such parameters in assessing population health may enable conservationists to further research environmental conditions affecting the vultures’ reproduction and survival.
Density of Axis Deer in Texas: Management Implications for Native White-tailed Deer and Associated Habitats
Authors: Buchholz Matthew J. , Conway Warren C. , Arsuffi Thomas L. , Lockwood Mitch L. , Grisham Blake A.
Published: January 2023

Axis deer Axis axis have been widely introduced to new geographic ranges, and in the United States, free-ranging axis deer have become well established in the Edwards Plateau ecoregion as well as other portions of Texas. However, no estimates of axis deer population density nor size have been conducted since 1994. It is hypothesized that axis deer on the Edwards Plateau are potentially competing with native white-tailed deer Odocoileus virginianus for food, space, and habitat resources, and causing damage to important riparian habitats. Our goal was to estimate regional densities of axis deer and white-tailed deer, and provide insight about the potential impacts axis deer may have on native wildlife and their habitats. Estimated using distance sampling techniques in 2018 and 2019, average axis deer density was 19.7 (95% CI: 14.1–25.6) axis deer/km2 compared with 23.0 (95% CI: 18.2–27.5) white-tailed deer/km2, and axis deer densities ranged from 16.9 to 171.0/km2 among eight different land cover types in Kimble County, Texas, with a county-wide estimate of 61,078 (95% CI: 30,407–100,369) axis deer. Axis deer densities were greatest in riparian land cover types, and they selected for two riparian land cover types and upland grasslands. Axis deer population estimates clearly indicate their population size has increased substantially since introduction to Texas in the 1930s. Population management of axis deer is warranted to limit impacts to native wildlife from potential habitat usurpation, or damage to riparian vegetation communities, soil, and water quality.
Le Centro de Cultura Digital de Mexico : une expérience muséale pionnière en Amérique latine
Authors: Seyeux Yann
Published: January 2023

À l’heure où les musées effectuent leur conversion numérique, entraînant la délocalisation depuis le monde physique vers la sphère virtuelle, tant de leurs salles d’exposition que de leurs collections, le Centro de Cultura Digital de Mexico présente, lui, une situation inverse. Ouvert au public depuis 2012, ce centre culturel situé en plein cœur de la capitale mexicaine se lance un double défi : accueillir dans un espace hybride, à la fois physique et virtuel, une initiative pionnière dans la région, pour penser la culture numérique depuis une perspective institutionnelle. Dix ans après son inauguration, nous nous proposons d’étudier les fondements et les résultats de cette tentative de relocalisation.
A favor ou contra Castilho? Rede de apoiadores no império brasileiro
Authors: Albuquerque Suzana Lopes de
Published: January 2023

O poeta português António Feliciano de Castilho (1800-1875) criou o Método Castilho para o ensino de leitura e veio para o Brasil em 1855, para realizar sua divulgação. Objetivando contribuir com o ensino da leitura e da escrita, propôs diferentes reformas na instrução primária e secundária em Portugal e no Brasil, incorporadas ao projeto da Modernidade, em que a escola calcada no tradicionalismo foi projetada como um palco de experimentações em um projeto de redenção pedagógica e social. Apesar de ter recebido várias resistências e o cancelamento de seu curso na corte brasileira, compareceram nas fontes históricas sujeitos brasileiros e portugueses que viviam na corte brasileira e que foram considerados “amigos” pelo poeta. O maior desafio metodológico deste artigo consistiu em rastrear esta rede de apoiadores deste projeto de instrução no império brasileiro. Esta análise será fundamentada em autores como Albuquerque (2019), Boto (2012) e obras memorialistas de Castilho (1902).
O Museu Pedagógico Municipal de Lisboa: do complexo educativo municipal aos museus dirigidos às classes trabalhadoras (1875-1892)
Authors: Henriques António
Published: January 2023

O Museu Pedagógico Municipal de Lisboa, pensado para ser uma referência nacional, integrou um complexo educativo nos anos 80 do século XIX. Desse complexo fizeram parte instituições como o Jardim de Infância Froebel e a Escola Primária Superior, integradas numa rede de ensino municipal. Segundo o seu diretor, Adolfo Coelho, o Museu seria um instrumento na reforma da instrução popular.Este texto procura ligar o destino efémero do Museu à lógica de três documentos sobre a ação do Estado, quanto aos museus pensados para as classes populares. Nos documentos sobressai a grande prioridade: um museu para os tesouros artísticos nacionais e para contemplação do público, em vez de museus ao serviço da pedagogia e do ensino, para uso manual das suas coleções.
A Lisboa Antiga de Matos Sequeira: reconstituição de um trecho da antiga cidade nas Festas de 1935
Authors: Lourenço Tiago Borges
Published: January 2023

Implantada no terreno do antigo Convento das Francesinhas e principal atração da edição das Festas da Cidade de 1935, a Lisboa Antiga consistiu numa reconstituição efémera de um bairro setecentista da cidade. Idealizada por Gustavo de Matos Sequeira, contou com cerca de 200 000 visitantes em apenas quatro meses, perpetuando-se na memória coletiva como uma das maiores realizações do género em Portugal. No presente estudo pretende-se recuar até ao século XIX para traçar os fundamentos da realização de um evento desta natureza e, paralelamente, compreender as suas características, receção e legado.
A miragem das cidades: o azulejo, material de interesse histórico que constrói o património edificado
Authors: Pais Alexandre Nobre
Published: January 2023

Não sendo criação portuguesa, em nenhuma outra geografia encontrou o azulejo território tão fértil em propostas, na sua adequação e adaptação a novas linguagens e exigências. Empregue desde tempos imemoriais, associado às civilizações que floresceram no chamado Crescente Fértil e na bacia do Mediterrâneo, o azulejo serviu como revestimento para arquiteturas, mercê da sua durabilidade e brilho. Introduzido em território português ainda com técnicas e linguagens islamizantes, rapidamente se adaptou à sensibilidade lusa. Essa adaptação foi o início de um processo que ainda hoje decorre, rico em metamorfoses e criações, espelho dos anseios e angústias de um povo, da sua Fé e das suas expectativas. O azulejo, em Portugal, reflete essa História, mas também algumas das suas características atávicas. Ele pode ser ilusão, rebeldia, sensibilidade, humor, engenho, candura... Numa sociedade em mutação ele hoje procura ajustar-se a novas linguagens, a outros caminhos. O que virá? Só o futuro o dirá.
Do papel para a matéria: os cadernos de encargos como fontes para a interpretação da obra arquitetónica – cinco construções de Raul Lino
Authors: Silva Hélia , Lourenço Tiago Borges
Published: January 2023

Tem sido reiterada a ausência da utilização dos cadernos de encargos em estudos arquitetónicos e de intervenção patrimonial. No entanto, trata-se de um documento fundamental para o entendimento da forma como se desenvolve a passagem do papel para a matéria, acrescentando dados sobre opções técnicas por parte dos arquitetos e proprietários, e elementos para as histórias, e os glossários de materiais e técnicas construtivas.Com este artigo pretende-se valorizar a leitura e interpretação destas peças e, assim, abrir um novo campo de trabalho na interpretação da obra arquitetónica de arquitetos e mestres de obras de princípios de Novecentos. Para o efeito, toma-se o exemplo dos contratos de empreitada e respetivos cadernos de encargos de cinco obras de uma fase inicial da carreira de Raul Lino. Deles é possível extrair preocupações construtivas, domínio da técnica, escolha, aplicação e integração dos materiais, controlo da qualidade construtiva e decorativa bem como o modo de atuar perante as especificidades de implantação, localização e proprietário de cada casa.
Fábrica de Cerâmica Lusitânia: Produtos inovadores na construção
Authors: Gonçalves Joaquim Pombo
Published: January 2023

A existência da Fábrica de Cerâmica Lusitânia encontra-se intrinsecamente associada ao desenvolvimento da construção civil nacional. A sua dinâmica empresarial, assente no desenvolvimento tecnológico, permitiu produzir materiais inovadores, mas essenciais para a construção civil, fator fundamental para os projetos previstos para a expansão da cidade de Lisboa na primeira metade do século XX.Igualmente na área da azulejaria, a Fábrica de Cerâmica Lusitânia teve um papel importante através da introdução de métodos inovadores, da realização de projetos em diversos locais de Portugal, e da contratação de um dos principais artistas nacionais: Jorge Colaço.É um percurso de inovação técnica de instalações e infraestruturas, de apoio social aos seus colaboradores, de expansão nacional, mas, fundamentalmente, da adaptação aos “novos tempos” (inclusive na decisão de deslocalização para a zona do Arco do Cego, Campo Pequeno) enquadrando-se tecnologicamente nos desenvolvimentos dos métodos produtivos que surgiam na Europa.
Apontamentos sobre a história da descoberta dos materiais e de algumas das suas aplicações
Authors: Barros António A. Salgado de
Published: January 2023

Este documento segue o curso da descoberta e transformação dos materiais e faz uma breve reflexão sobre o progresso, por parte das primeiras comunidades, no aproveitamento dos recursos minerais por elas recolhidos e utilizados na transformação do meio que as acolheu, referindo, com algum detalhe, as dificuldades técnicas que foram sendo ultrapassadas com criatividade e perseverança.
Um olhar sobre os materiais de interesse histórico que constroem o património: apontamentos em torno de uma experiência multidimensional
Authors: Menezes Marluci , Silva António Santos , Veiga Maria do Rosário
Published: January 2023

Neste artigo são abordados materiais de construção cuja aplicação remete para diferentes tempos e usos no património edificado, e que são indissociáveis dos gostos e das influências culturais na arquitetura de cada local. Alguns dos materiais apresentados, como a cal e o gesso, têm um historial de longevidade e durabilidade que é um desafio constante para os materiais mais modernos, como o cimento. Os materiais históricos nas edificações centenárias, por vezes milenares, resistiram a adversidades diversas, como cheias, incêndios ou terramotos e, mais recentemente, à ação humana que, numa tentativa de adaptação a usos e requisitos modernos de moda, tecnologia e conforto, por vezes esquece e extravasa práticas de manutenção, conservação e reabilitação compatíveis. O artigo chama a atenção do leitor para as componentes tangível e intangível dos materiais de construção usados no património histórico arquitetónico, não esquecendo a importância dos saberes técnicos e do diálogo entre campos científicos para que este património possa perdurar por muitos mais séculos.
Un programme de recherche pour la transition sociale et écologique de Montréal
Authors: Audet René , Brisebois Éliane , Butzbach Camille , El-Khoury Joseph , Lefebvre Béatrice , Lessard Guillaume , Mercille Geneviève , Purdon Mark , Scherer Katia , Stamm Christoph B. , Neste Sophie L. Van
Published: January 2023

S’inscrivant dans une communauté scientifique grandissante qui cherche et expérimente des solutions urbaines aux problèmes sociaux et écologiques, la Chaire de recherche UQAM sur la transition écologique a pour mission d’étudier et d’accompagner les transformations en cours en s’intéressant plus particulièrement aux expérimentations portées par les acteurs locaux et urbains de la transition sociale et écologique, ainsi qu’aux changements institutionnels inspirés de ces innovations. Cet article présente les travaux de ses membres selon une grille portant sur les questions centrales du programme de la Chaire, soit l’approfondissement des connaissances sur les transformations, la pérennisation des initiatives de transition et la structuration d’un champ institutionnel de la transition. Fondés sur des approches de recherche participative et partenariale, ces travaux menés dans la région montréalaise s’inscrivent dans trois « chantiers de la transition » : l’urgence climatique, les milieux de vie et les systèmes alimentaires. Cet article montre comment, en s’associant avec les acteurs de la transition sociale et écologique montréalaise, les chercheuses et chercheurs de la Chaire contribuent à clarifier et à mettre en place certains fondements de la transition sociale et écologique.
L’Alliance pour l’Est de Montréal : vers un New Deal territorial ?
Authors: Klein Juan-Luis , Fontan Jean-Marc , Audet René , Levesque Benoît
Published: January 2023

Ce texte porte sur une zone appelée Est de Montréal. Cette zone a été associée à l’industrie pétrochimique et à d’autres secteurs de l’industrie manufacturière pendant une bonne partie du vingtième siècle. Or, à cause de la crise du fordisme et du développement de l’économie orientée vers les nouvelles technologies, cette zone a progressivement perdu ses atouts productifs avec des effets sur les emplois, sur les services et sur la qualité de vie des personnes qui y résident. La prise de conscience de ce déclin à motivé une importante mobilisation pour une reconversion économique orientée vers la transition socio-écologique. Le texte aborde la situation de la zone, les enjeux du processus de reconversion, l’amorce et les orientations d’un regroupement d’acteurs nommé Alliance pour l’Est de Montréal, les sources d’inspiration de cette coalition, ainsi que les éléments d’une stratégie de transition écologique et sociétale dans cette importante zone de la ville.
Using Desmos and GeoGebra to Engage Students and Develop Conceptual Understanding of Mathematics
Authors: Pope Derek
Published: January 2023

The interactive online platforms Desmos and GeoGebra can be used to support students' development of conceptual understanding in mathematics. They provide opportunities to support algebraic manipulations with visual representations, facilitate the derivation of formulas and procedures, and can help students verify and make sense of their answers. These platforms can also be used to increase student interest and engagement while promoting a student-centered classroom environment. This chapter presents several practical ideas for using these free platforms in the context of an Algebra 2 unit on trigonometry and a Precalculus unit on lines and planes in space. Selection, creation, modification, and implementation of resources are discussed.
Using Technology to Enhance Student Engagement in STEM Subjects in Higher Education
Authors: Chakabwata William
Published: January 2023

This chapter examine ways in which technology may be utilized to enhance teaching and learning in sciences, technology, engineering, and mathematics subjects (STEM) subjects. The chapter presented an overview of student engagement, as a concept in higher education and ways in which it can enhance learning in STEM subjects using technology. The chapter contributed to the ongoing conversation on the importance of student engagement in higher education, with a particular focus on students in STEM courses, by problematizing the concept of student engagement, and theorizing on its implications for teaching and learning in higher education. Student engagement is topical in higher education today, particularly with the shift from subject-centered learning to student-centered learning. STEM subjects can benefit from various forms of student engagements that can be affected through the use of learning management systems (LMS).
Relationships Between Mathematics Self-Beliefs, Exposure to ICT In School, and Achievement on PISA 2012 Paper- and Computer-Based Mathematics Assessments
Authors: Radišić Jelena , Nortvedt Guri A. , Runde Ragnhild Kobro
Published: January 2023

This chapter discussed the relationships between students' self-beliefs and interest in mathematics, their exposure to ICT in school and mathematics lessons, and their achievement levels. The authors linked data from the PISA 2012, comprising both paper- and computer-based mathematics assessments to data from student questionnaires for 16 European countries participating in both assessment formats. LPA was applied to identify and distinguish between six student groups. The results indicated that self-beliefs were more strongly related to achievement than the level of ICT use was. Students with the highest reported self-beliefs and moderate ICT exposure outscored other students. The same patterns were observed for both assessment formats. For most of the countries observed, nearly 50% of the students were characterized by average self-beliefs and low or no use of ICT. On average, these students had achievement scores close to the OECD mean. Across all countries, students with low self-beliefs also had the lowest average achievement scores, regardless of their extent of exposure to ICT.
The Use of an Online Escape Room in Psychodiagnostics
Authors: Petkari Eleni , Calvo Ana
Published: January 2023

This chapter provides a detailed presentation of a virtual escape room implemented in the teaching and learning of psychodiagnostics and displays the students and lecturers' first experiences with its use. The activity was offered to 500 students of a compulsory first-year course of an MSc in General Health Psychology program. Ninety-four students entered the escape room, and 39 students completed the activity. All students reported that they enjoyed the escape room, and half of them reported learning and extending their knowledge as the main reason for carrying out the activity. Importantly, the activity increased the students' self-confidence towards the diagnosis establishment. The lecturers described the activity as a useful tool for enhancing the teaching and learning process in an innovative, intuitive, and motivating way. Thus, this virtual escape room seems to be a feasible and useful tool for lecturers that look for ways to enrich their teaching practice and to achieve a deep learning of the diagnostic procedures for their students.
Escape Room as a Tool for the Study of Special Needs in University Education
Authors: Tejero Blanca , Ortega-Barón Jessica , Betes Blanca
Published: January 2023

For a society where progress and constant development are essential and that faced with the changes experienced in society (pandemics, wars) as well as in education (lack of motivation of students, increase in dropouts, and poor results in studies), the educational system suggests the need for change, proposing the use of more innovative and active methodologies that give the student a leading role and make them the protagonists of the teaching-learning process. This chapter presents an activity with escape room developed with students of the Master's Degree in Special Education that aims to facilitate the learning of practical cases on the subject of developmental disorders.
An Interactive Escape Room That Increases the Digital Skills of the Physical Activity and Sport Science Students
Authors: Sotoca Orgaz Pablo , Arévalo Baeza Marta , Santamaría Urbieta Alexandra
Published: January 2023

This experience arises intending to increase the motivation of university students to contribute to devote more attention, time, and effort to the learning situations they experience. From this idea, the implementation of active methodologies aims to give students a leading role, providing them with new experiences that favour the understanding and consolidation of content and the development of skills and competencies in search of valuable and situated learning. Within these methodologies, the authors highlight some that resort to playful elements to improve the commitment to the different learning processes. This chapter presents perceptions and assessments of students after participating in a project to develop digital competencies based on gamification and having as the main element a hybrid escape room, with live and digital proposals set in the successful Spanish TV series “La Casa de Papel.”
Customer Analytics
Authors: Nijjer Shivinder , Bathla Devesh , Sharma Sandhir , Raj Sahil
Published: January 2023

Firms all across the world have been investing substantially in data analytics, and analysts predict a 60% increase in investment in customer analytics by the year 2023. The function of marketing has always grappled with gaining complete attention of customers and keeping away the competition. For this, the firms have been consistently redesigning their strategies and introducing new techniques to enhance customer centricity. Digital era and emergence of artificial intelligence (AI) and machine learning (ML) are enabling marketeers to reach their ultimate goal of generating individualized or personalized recommendations. With unconventional data sources at hand and equally unconventional tools to analyse these streams of data, customer experience enhancement knows no bounds. Therefore, considering the novelty and significance of customer analytics, this article sheds light on sources of customer data, tools for customer analytics, and implications and benefits of customer analytics.
Scrutinizing the Analytic Hierarchy Process (AHP)
Authors: Hernández R. José G. , García G. María J. , Hernández G. Gilberto J.
Published: January 2023

This work will focus on making a review of one of the techniques to establish hierarchies between alternatives, which appears very frequently, although erroneously, in the literature dedicated to multicriteria methods. It is about scrutinizing within the bowels of analytical hierarchical processes (AHP). It will be noted that it will not be necessary to make an exhaustive review to discover the great weaknesses that are present under this much referenced technique, faults so obvious that it is difficult to understand how this method has been used so often. These failures start from their foundations, their axioms, from a misinterpretation of mathematical statements, and especially, from an inappropriate use of the tool. From all the above, the objective of this work is to analyze the fundamental premises of analytical hierarchical processes and demonstrate that they are not only techniques that have very obvious flaws but are also used erroneously in decision making for which they are not at all appropriate.
How to Structure Data for Humanitarian Learning
Authors: Ahamer Gilbert
Published: January 2023

How should we structure data describing global change? How can we achieve humanitarian development by support of structured data? To answer this question, a fresh view on “learning” is provided from an interdisciplinary viewpoint. The underlying conceptual model of a network society combined with empirical research on long-term civilisational and economic evolution allows to generally understand data structures and IT as facilitators of a multi-perspectivist and multi-disciplinary construction of world views (m:n type of science). Such a synopsis of education, structural evolution, social spaces, and institutional change provides insight into data science's strategic role of facilitating consensus building and constructing common world views that can socially converge isolated cultures of understanding. The interdisciplinary discipline of geography is here seen as a provider of world views that emerge from communicative action. The presented cases span both geographic locations as well as constructed cultures of understanding.
Artificial Intelligence, Big Data, and Machine Learning in Industry 4.0
Authors: Lampropoulos Georgios
Published: January 2023

Due to the digitalization of life and the fiercely competitive global market, the fourth industrial revolution was inevitable. Industry 4.0 utilizes several interconnected technologies such as artificial intelligence (AI), machine learning (ML), big data (BD) to provide new solutions. The aim of this article is to provide an overview of the vital role that these technologies play in the realization and adoption of Industry 4.0, the numerous merits they can yield, and the multitude of contemporary solutions, applications, and services they can provide. Therefore, this article presents the concept of Industry 4.0 as well as those of AI, ML, BD, and big data analytics (BDA) technologies. Moreover, it goes over the potentials that these technologies could offer and the merits they could yield when applied within the context of Industry 4.0. Finally, it presents the summary of the main findings, open research issues and challenges, draws conclusions, and provides directions for future research.
Sensors and Data in Mobile Robotics for Localisation
Authors: Hodge Victoria J.
Published: January 2023

The industrial robotics market is predicted to grow to USD 75.3 billion by 2026, at a rate of 12.3% per year. A key driver of this growth is Industry 4.0 digitization, often known as the next industrial (or data) revolution. Industry 4.0 digitization requires smart, flexible, and safe technologies including automation using robots in ever increasing numbers. Industry 4.0 needs autonomous mobile robots with intelligent navigation capabilities and needs to use big data processing techniques to allow these robots to navigate safely and flexibly. This article reviews the techniques used and challenges of one particular aspect of robot navigation: localisation. It focuses on robotic sensors and their data, and how information can be extracted to enable localisation.
An Image-Based Ship Detector With Deep Learning Algorithms
Authors: Zhao Peng , Ren Yuan , Xiao Hang
Published: January 2023

This article provides a comprehensive understanding of the image-based ship detector using computer vision technologies with deep learning. Several pre-trained object detection models, such as MobileNet, VGGNet, Inception, and ResNet, have been investigated by illustrating the network architectures. A group of pre-trained models has been proposed and examined by recognizing ships on the sea and in the bay area. The model testing and comparison procedure have also been performed by evaluating the performance matrix and comparing predictive results per model. The optimal model is then chosen with the additional tests in terms of capabilities of the ship detection using the satellite image streaming in the real world. Such a proposed ship detector can contribute to the development of smart ship operations and may further carve out the possibility for the automated shipping system with smart port management.
Artificial Intelligence and Machine Learning Innovation in SDGs
Authors: Yoganingrum Ambar , Rachmawati Rulina , Trianggoro Cahyo , Febriandirza Arafat , Koharudin Koharudin , Rezaldi Muhammad Yudhi , Prasetyadi Abdurrakhman
Published: January 2023

Artificial intelligence and machine learning have become prominent fields of science and are believed to be powerful tools to achieve the Sustainable Development Goals (SDGs). Therefore, it is necessary to discuss the relationship of AI and ML to the SDGs. This chapter aims to provide information about the focus of AI and ML research on the 17 SDGs. This article finds that the amount of AI and ML research for several SDGs is very high.
A Comparison of SOM and K-Means Algorithms in Predicting Tax Compliance
Authors: Bankole Felix , Vara Zama
Published: January 2023

Compliance with taxes has been associated with the perceived probability of detection and severity of punishment. Firstly, taxpayers comply because the benefits far outweigh the costs. Secondly, decisions to comply are closely related to the individual's risk aversion. Lastly, the availability of opportunities to cheat and the perceived probabilities of detection and sanctions have a significant impact on taxpayer compliance. In this study, two unsupervised learning algorithms were employed. The algorithms used were self-organizing map (SOM) and k-means clustering in predicting corporate income tax compliance. SOM and k-means are two notable unsupervised learning clustering techniques. In this article, some experiments have been conducted to compare their effectiveness and performance.
Breast Cancer Disease Exploitation to Recure a Healthy Lifestyle
Authors: Swapna Mudrakola , Hegde Nagaratna P.
Published: January 2023

Breast cancer is one of the most hazardous diseases at a later age for women. This article consists of a systematic survey on causes of the disease, the role of BRCA1 gene mutation in BC, and standard operating procedures used to treat breast cancer depending on the size of the tumor, location of cancer, and type of tumor. These include tamoxifen tablets, advance radiation therapy, trastuzumab medication, chemotherapy, hormone replacement therapy. Their success rates are evaluated, and neoadjuvant therapy is used to reduce the intensity of the disease before going for advanced BC treatment. Many other assessments are performed like risk detection based on age, sex, gene, family history, tumor suppression detection, muti variant COX propositional analysis, and over expression. This survey overviews BC disease, treatments available, and their success rates.
Content and Context-Aware Recommender Systems for Business
Authors: Aeron Prageet
Published: January 2023

E-commerce activities among prominent retailing firms in modern times is inconceivable without the ubiquitous presence of recommender systems. This article brings forth the more advanced topics like content based and context-aware methods. Content-based methods use the actions and ratings of the users to match the user to new items based on past ratings. The objective here is to create user profiles and subsequently subject the profiles to classification algorithms. Knowledge-based systems are for more customized products with little history of usage and therefore little past data to help in recommendations. Such systems rely on either case-based recommendations or on a set of relevant constraints to identify appropriate recommendations. And finally, ensemble recommender systems help in combining the prediction power from multiple data sources. Finally, the author presents a discussion on the evaluation methods for recommender systems. The article is aimed towards both academic and managerial audiences.
Data Analytics in the Global Product Development Supply Chain
Authors: Pal Kamalendu
Published: January 2023

Managing distributed and delocalized production is one of the essential characteristics to address in the recent market globalization in the manufacturing industry. In this environment, heterogeneous enterprise applications, either manufacturing or supply chain management, either inside a single enterprise or among network enterprises, require sharing information. Thus, information management has become a significant driver for management and product development in networked enterprises. This article describes an information systems framework for the global product development environment. Several applications involved in manufacturing enterprises may refer to the knowledge, which embeds in it, appropriately storing all its technical data based on a standard model for product development purposes. Then it identifies critical categories of big data analytics applications for the key businesses of the supply chain operations reference (SCOR) model. Finally, the article presents a big data framework for supply chain management (SCM).
Improving Transportation Planning Using Machine Learning
Authors: Vadlamani Satish , Modashiya Mayank
Published: January 2023

Supply chains are complex and continuously evolving to become more complex. With globalization of supply chains and ever-increasing customer demands for better service, planning is very important. The vulnerabilities in the supply chain were exposed with COVID-19, and transportation, a key supply chain element, was impacted significantly. Transportation connects various nodes in the supply chain network. There are several nodes, numerous links between nodes, various modes of transportation in addition to people and systems in the network. Ensuring better service for customers is of paramount importance for companies. With disparate systems involved, collecting and harnessing this data can identify problems in the network. Data science techniques, machine learning, and artificial intelligence can help identify service failures in planning even before they happen. Predicting service failures in planning can ensure better service and reduce costs. In this article, the authors use machine learning to predict service failures in domestic transportation planning.
A Temporal and Spatial Priority With Global Cost Recharging Scheduling in Wireless Rechargeable Sensor Networks
Authors: Chen Jingjing , Chen Hongwei , Ouyang Wen , Yu Chang Wu
Published: January 2023

Wireless power transfer technique provides a new and promising method for alleviating the limited energy capacity problem, thus receiving much attention. However, previous works usually consider temporal, spatial, or both factors of the current selected node greedily without taking the residual moving distance of the remaining nodes into consideration. Surely, it is not easy to precisely estimate the residual moving distance of the remaining nodes before knowing their exact order in the scheduling path. In this work, the authors are the first to propose the concept of the residual moving distance (cost) and create a mathematical model to roughly estimate the cost of a given node set. Moreover, they design a temporal and spatial priority charging scheduling algorithm with additional considering the global cost (TSPG). Simulation results demonstrate that TSPG outperforms earliest deadline first scheduling algorithm and revised earliest deadline first scheduling algorithm. Moreover, the proposed new model for estimating moving distance in the residual area has all relative error below 9%.
A categorification of cyclotomic rings
Authors: Laugwitz Robert , Qi You
Published: January 2023

For any natural number

n\geq 2

, we construct a triangulated monoidal category whose Grothendieck ring is isomorphic to the ring of cyclotomic integers

\mathbb{O}_n

. This construction provides an affirmative resolution to a problem raised by Khovanov in 2005.
Typographical Artifices in Nicola Barker’s H(A)PPY
Authors: Culea Mihaela , Suciu Andreia Irina
Published: January 2023

In Nicola Barker’s novel H(A)PPY the individual’s struggle to resist and escape from a virtualized, monitored and uniform world is masterfully reflected typographically. Just as the individual defies this new reality, the text also subverts narrative and typographical norms, inviting readers to partake in a journey of deciphering codes and signs. This article explores the typographical experiments with form, which assist the textual interpretation at the level of other narrative components. It identifies and analyses twenty artifices connected to typographical innovation in the novel in order to expand the possibilities of understanding the novel’s multiple meanings.
Medijski desni populizem v Sloveniji v primerjalni globalni perspektivi
Authors: Krajnc Maša
Published: January 2023

Populizem je globalni fenomen, zaznan tudi v slovenskem prostoru, ki pod pretvezo, da družbi zagotavlja demokracijo, ravno to omejuje. Temelji na ločevanju družbe na ljudstvo in elite, desni populisti pa izključujejo še tujega drugega. Opisano diskurzivno strategijo akterji udejanjajo različno, v odvisnosti od regionalnih značilnosti okolja vznika posameznega populizma. To dokazujem z analitičnim pregledom glavnih konceptov populizma in njegovih pojavitev na Vzhodu ter Zahodu in z rezultati kritične diskurzivne analize 24 izbranih člankov spletnega portala Nova24TV. Ugotavljam, da je slovenski desni populizem regijsko specifičen in zgodovinsko uokvirjen. S tremi dimenzijami ločevanja družbe – nacionalizma, komunizma in kulture – populizem odraža slovensko socialistično dediščino ter proces njenega osamosvajanja.
Le miroir déformant de la littérature: portraits dans La Force du Désir de Marie Krysinska
Authors: Wierzbowska Ewa Małgorzata
Published: January 2023

The Distorting Mirror of Literature: Character Portraits in "La Force du Désir" by Marie Krysinska

A roman à clef, where the presence of fictional and nonfictional elements is obvious, is a powerful framework for literary portraits of the author’s contemporaries. The degree of deformation, be it glamorizing or devaluing, depends on several factors, among which the pleasure of playing hide and seek is not the least. Each reference, even a demeaning one, brings out of the shadow of the past both prominent and background characters, as well as important events, all from the author’s point of view. Through this display, an image of a very complex environment emerges, where the worst rubs shoulders with the best, and where the constraints of daily life or loyalty to ideals impose difficult choices with very serious consequences. The author observes the sociological phenomena that affect her environment and, while making sharp criticisms, seeks to find a remedy for the wound that destroys Art and the Artist.