bluuebunny/crossref_metadata_2025 huggingface dataset:
Administrative Burden in BKD (Regional Civil Service Agency) Central Java Province, Indonesia
Authors: Maulana Adam Surya , Dhani Ardiansyah
Published: November 2023

Efforts by the Regional Civil Service Agency (BKD) of Central Java Province aims to improve public services and the operational efficiency of the state civil apparatus. Based on data related to primary and secondary law, legislation and policy, this research uses a qualitative normative juridical approach. This research emphasizes several important points, including improve public service quality and operational efficiency of state civil servants; BKD's efforts to improve services through the placement of employees in accordance with their competencies; implementation of SINAGA to improve personnel administration; and the performance of the Central Java BKD. strategic planning for the future that focuses on the industrial revolution 4.0. This study shows that BKD Central Java is trying to improve service quality by increasing employee competency, providing adequate facilities and infrastructure, and utilizing information technology by introducing the SINAGA application. However, there are several obstacles and difficulties to overcome, such as a lack of adequate human resources and difficulties related to changing regulations. The Central Java Province BKD must continue to develop innovation and technology for personnel administration, strengthen a fair performance evaluation system, and ensure that employee needs are met. With this improvement, it is hoped that personnel services in this field will continue to improve.
O Ensino Superior no Brasil: o processo de internacionalização mercantil no contexto da financeirização do capital
Authors: Franco Maria Wanessa do Nascimento Barbosa , Castro Alda Maria Duarte Araújo
Published: November 2023

Esta investigação analisa o processo de internacionalização da educação superior no Brasil, no contexto da financeirização do capital e suas repercussões na expansão desse nível educacional. Tem como pressuposto que a atual forma de organização do capital modificou o conceito de internacionalização da educação superior que evoluiu da mobilidade acadêmica, para a concepção de internacionalização transfronteiriça defendida pela Organização Mundial do Comércio (OMC), na qual as  instituições internacionais podem vender seus serviços educacionais e se instalar em outros países por meio de aquisições/fusões ou participação em sociedades com instituições nacionais, contribuindo com o processo de mercantilização da educação. Metodologicamente o artigo utilizou-se da revisão bibliográfica, análise documental e de dados dos sites da CM Consultorias e da Hoper Educação, referentes à temática. Conclui-se que esse processo de internacionalização mercantil, na atualidade viabiliza uma nova tendência de privatização, pela incorporação e ou aquisição de IES por conglomerados econômicos, ligados principalmente ao setor financeiro. Esse processo ganha força por intermédio da internacionalização e valorização do capital, mediado pela mundialização financeira e tem transformado a educação em serviço em detrimento de seu caráter de direito social.
A Influência do Financiamento Estudantil Público na Política de Preços das Mensalidades de Cursos Superiores, a partir de 2010
Authors: Scudeler Marcelo Augusto , Tassoni Elvira Cristina Martins
Published: November 2023

O Fundo de Financiamento Estudantil (Fies) é uma política pública que viabiliza o acesso e a permanência de estudantes na educação superior privada brasileira. Teve seu auge na primeira metade da década de 2010 e, desde 2015 vivencia um forte processo de encolhimento, em virtude, principalmente, de uma política econômica de austeridade fiscal, mas também pela expansão do setor público e a adoção de política de cotas. Este período também marcou o fortalecimento de grupos empresariais educacionais que atuam no segmento com foco na captação de alunos e na ampliação da rentabilidade financeira. O foco desta pesquisa foi identificar a influência do Fies na política de preços das mensalidades dos cursos superiores presenciais, a partir de 2010. Trata-se de uma pesquisa bibliográfica de cunho descritivo, com forte lastro em dados quantitativos, para relacionar as fases de ascensão e encolhimento do Fies com a política de preço das mensalidades. Como resultado, demonstra-se que o Programa, muito além de viabilizar o acesso de estudantes com perfil mais vulnerável para a educação superior brasileira, foi um instrumento público para a financeirização dos grandes grupos empresariais que atuam na educação superior privada do Brasil, influenciando o valor das mensalidades praticadas pelo setor.
Gestão em espaços de Educação Profissional potiguar: atuação do Instituto de Corresponsabilidade pela Educação (ICE)
Authors: Souza Rosângela Maria Matias de , Ferreira Maria Aparecida dos Santos
Published: November 2023

O estudo objetiva refletir sobre a gestão e a organização dos espaços educacionais na Educação Profissional e debater a atuação do Instituto de Corresponsabilidade pela Educação (ICE) na implantação da Educação em Tempo Integral dos Centros Estaduais de Educação Profissional (CEEP) do Rio Grande do Norte (RN). Trata-se de um estudo de abordagem qualitativa, que se utiliza da pesquisa bibliográfica e documental, ancorando-se no materialismo histórico-dialético como lente metodológica. Para proceder às análises, utilizamos a Análise Textual Discursiva (MORAES; GALIAZZI. 2016). O trabalho foi desenvolvido com base nas abordagens de Moura (2013), Morais, Monteiro e Henrique (2022), Rosar (2012), além dos Cadernos de Formação e site do ICE e legislação pertinente sobre o assunto. Constatou-se que o ICE atua utilizando mecanismos da racionalidade neoliberal, garantindo a formação contrária àquela da perspectiva omnilateral e operando em prol da manutenção do sistema vigente utilizando-se do equipamento público para implantação de lógica empresarial na educação pública, caracterizando uma forma de privatização da educação pública (PERONI, 2018).
A Vulgarização da Inovação nas Políticas Públicas e a Hegemonia Proprietária na Plataformização da Educação Pública
Authors: Mallmann Elena Maria
Published: November 2023

O presente texto tem o propósito de contribuir com reflexões a respeito da vulgarização da inovação nas políticas públicas e da hegemonia proprietária no processo de plataformização da educação pública. Para tanto, são analisados exemplares de documentos da legislação vigente enfatizando que as novidades, recorrentemente anunciadas nas reformas educativas, não   explicitam concepções críticas das tecnologias. Examina-se dados de relatórios de pesquisas e censos escolares que sublinham a presença hegemônica de softwares e plataformas pertencentes às big techs na educação pública. O acesso e vigilância sobre as informações da comunidade e das instituições escolares demarca a ausência do Estado e o avanço do setor privado ao passo em que se renuncia à soberania dos dados. Conclusivamente, argumenta-se que as medidas distributivas de equipamentos e os programas desordenados de capacitação acentuam o caráter instrumentalizador e tecnicista. Assim, não fomentam a inovação educacional para a resolução contextualizada dos desafios históricos da educação brasileira tais como evasão, repetência, defasagem idade-série, desvalorização e precarização do trabalho docente. Portanto, ao compor essas inferências interpretativo-críticas, estão sendo problematizados e avaliados aspectos peculiares das tecnologias educacionais no amplo espectro do quadro normativo cognitivo da política pública voltada para a Educação Básica e Ensino Superior.
O projeto privatista para a educação infantil: uma face da dinâmica do desmonte da escola pública
Authors: Bessa Menissa Cícera Fernandes de Oliveira , Silva Maria Vieira
Published: November 2023

O artigo discute desafios prementes da educação infantil brasileira, face aos processos de privatização. A partir das antinomias entre os princípios políticos da educação pública e os ideários mercantis, disponibilizam-se análises de um estudo bibliográfico e de dados do Censo Escolar sobre a privatização de vagas na educação infantil. Os estudos que referenciaram tal análise percorreram, o movimento do universal ao particular, apreendendo elementos constitutivos do Estado democrático, do neoliberalismo e das determinações sociais da educação infantil no município de Palmas. Tendo como referência a compreensão particular desta capital, suas relações e capilaridades com o universal, afirma-se que há um projeto contínuo de privatização da educação infantil pública, presente em Palmas e outras localidades. A omissão de natureza estrutural do Estado para com a educação da criança pequena evidencia-se na reconfiguração do direito, marcada, pela negligência em cumprir plenamente os preceitos constitucionais e pela ingerência privatista no setor educacional público.
Are You So Good That They Cannot Ignore You? Effect of Coworker Support on Knowledge Sharing Through an Affective Events Theory Perspective
Authors: Mohammed Neethu , Cyril Issac Abraham
Published: November 2023

Drawing on affective events theory, this study considers knowledge sharing as an outcome of emotional responses resulting from an individual’s experience of workplace events. This study aimed to empirically examine how coworker support as a work event encourages employees’ knowledge contribution and knowledge-seeking behaviors through feelings of vitality. A structured, questionnaire-based survey was administered to 430 employees of knowledge-based organizations in India. The retrieved data were further analyzed using structural equation modeling. The results indicate that perceived coworker support positively influences the knowledge contribution and knowledge-seeking behavior of individuals in the workplace. Furthermore, vitality mediated the positive association between perceived coworker support and knowledge sharing. This implies that the perception of coworker support in the workplace augments employees’ feelings of vitality, which further motivates them to contribute to and seek knowledge from coworkers. Therefore, this study critically underscores the existence of a “performance loop” in knowledge sharing, as coworkers find it difficult to bypass an employee because of their outstanding performance and the fact that the same virtuous cycle elicits greater knowledge sharing by coworkers. Such perceived goodwill makes employees so good that they cannot be ignored within an organizational setting. This is a pioneering study investigating how coworker support in the workplace stimulates knowledge sharing among employees by considering the mediating effect of feelings of vitality. This study also contributes to the positive psychology and knowledge management literature by revealing the implications of vitality for extra-role behaviors such as knowledge sharing.
Sentiment and Accruals Earnings Management: Does Governance and Regulatory Environment Matter?
Authors: Modani Kakul , Dash Saumya Ranjan , Raithatha Mehul , Brooks Robert
Published: November 2023

This paper examines the implications of firm-level governance mechanisms and the regulatory environment on the relationship between investor sentiment and accrual-based earnings management. Our findings confirm the positive impact of sentiment on earnings management through accruals. Our results confirm that in the presence of a stringent regulatory environment, the likelihood of abnormal accruals following a positive sentiment environment is low. We document that a stringent regulatory environment reduces the likelihood of abnormal accruals following a positive sentiment environment. Results further confirm that improved governance characteristics like larger board, increased board independence, and stringent related party transaction norms help to monitor corporate behaviour and mitigates opportunistic earnings management activity of managers with an exogeneous effect of market sentiment. Thus, our results have important implications for regulators and policymakers for strengthening the regulatory and monitoring environment. Investors may also use earnings announcement news during an optimistic market sentiment scenario in a more informative way.
Global Component of Sentiment in Futures Markets: Evidence from Covid-19 Pandemic
Authors: Tripathi Abhinava , Dixit Alok
Published: November 2023

We examine the impact of the global component of sentiment on the price return and volatility of 25 major futures market indices across the globe, during the Covid-19 pandemic. The global component of sentiment causes investor overreactions. These overreactions accelerate the fall in prices and contribute to the rising volatility levels. The futures prices revert, though gradually, to their fundamental values as information from more reliable sources becomes available. This leads to price recovery and lower volatility levels.
Do Oil Shocks Affect Financial Stress? Evidence from Oil-Exporting and -Importing Countries
Authors: Sengupta Anirban , Maitra Debasish , Dash Saumya Ranjan , Brooks Robert
Published: November 2023

In recent years, there is increasing attention to examining the relationship between oil prices, financial markets, and the economy. Relatively little is known about the dynamic relationship between structural oil shocks and financial market stress of countries, which are majorly dependent on oil price fluctuations. This paper examines the impact of structural oil shocks (oil supply shocks, global aggregate demand shocks, speculative shocks, and other oil shocks) on the financial stress of major oil-exporting and-importing economies. In this study, we construct a financial stress index and using a structural vector autoregression model, we investigate the effects of oil price shocks on the financial stress of major oil-exporting and importing economies. We find evidence that global demand shocks, followed by speculative demand shocks, have significant impacts on financial stress. Furthermore, the US subprime crisis has a significant bearing on the response of the financial stress index to structural oil shocks. The magnitude of oil price shocks on financial stress has subdued during the post-crisis period.
Can Ethical Leaders Enhance Knowledge Sharing? The Role of Psychological Capital and Anticipated Reciprocal Relationships
Authors: Goswami Anil Kumar , Agrawal Rakesh Kumar
Published: November 2023

The aim of the paper is to empirically investigate the influence of ethical leadership and psychological capital on knowledge sharing in business organizations. Furthermore, the paper investigates the mediating role of psychological capital and moderating role of anticipated reciprocal relationships in the relationship of ethical leadership with knowledge sharing. The analysis has been conducted on data gathered from 248 members of information technology (IT) companies by making use of survey questionnaire. Hypotheses are tested by analysing the data using structural equation modelling (SEM) and PROCESS macro. The study found that ethical leadership and psychological capital have positive effect on knowledge sharing. Ethical leadership also impacts psychological capital positively. Further, psychological capital acts as a mediator and anticipated reciprocal relationships act as moderator in the relationship of ethical leadership and knowledge sharing. This study establishes new antecedents of knowledge sharing, emphasizes the importance of ethical aspects of leadership in managing knowledge resources and enrich literature of Knowledge Management (KM), leadership, positive organizational behavior and human resources management. It further gives new perspectives to practitioners by recognizing the significance of ethical leadership, psychological capital and anticipated reciprocal relationships to enhance knowledge sharing. To the best of authors’ knowledge, this study is one of few initial studies to examine the linkages between ethical leadership, knowledge sharing and psychological capital as well as the role of anticipated reciprocal relationships therein.
Configuring HRM Practices for Open Innovation: But Can It Deliver?
Authors: Biswas Malay , Bandyopadhyay Nirmalya
Published: November 2023

Though current scholarly interest generates a sustained growth of literature on open innovation, we need to learn more about human resource practices relating to open innovation. Building on the ability-motivation-opportunity (AMO) framework, we demonstrate the differential impact of human resources practice bundles on open innovation. We also find evidence that motivation-enhancing and competency-enhancing practices share a compensating effect on open innovation. Using firm-level data from 2540 Italian manufacturing firms, our study, if not first, contributes to the growing bodies of research on open innovation by bringing forth the human dimension to the forefront and offering a drilled-down practice-level view that needs to be addressed in the literature.
Detection of Brain Cancer through Enhanced Particle Swarm Optimization in Artificial Intelligence Approach
Authors: Thotipalayam Andavan Mohanprakash  , Madhumitha Kulandaivel  , Samuel Rosaline  , Pasham Nithish Reddy  , Shankar Nayak Bhukya  , Ravindra Namdeorao Jogekar  , Rengaraj Gurumoorthy Vidhya
Published: November 2023

Brain cancer is deadly and requires prompt detection and treatment. We propose a complete brain cancer detection method using binary encoding, adaptive thresholding, edge-based segmentation, particle swarm optimization (PSO), wavelet transform, and neural networks. First, binary encoding converts categorical patient data and medical history information into binary vectors for fast analysis. Adaptive thresholding then handles image lighting and contrast to optimize brain image segmentation. Brain tumor boundaries are identified via edge-based segmentation. This method isolates tumor areas for investigation by recognizing significant pixel intensities. Particle swarm optimization optimizes segmentation algorithm settings, enhancing efficiency and accuracy. Wavelet transform captures local and global brain picture changes, extracting tumor-related information. This method gives a complete visual representation, improving categorization. Finally, utilizing the collected attributes, a neural network model classifies brain pictures as malignant or non-cancerous. The neural network learns the complicated correlations between retrieved variables and brain cancer to classify accurately and automatically. A dataset of brain pictures, comprising malignant and non-cancerous instances, evaluates the proposed approach. The proposed approach accurately detects brain tumors in experiments. Binary encoding, adaptive thresholding, edge-based segmentation, particle swarm optimization, wavelet transform, and neural networks can help medical professionals diagnose and treat brain cancer early.
Prediction of Blood-Brain Barrier Permeability of Compounds by Machine Learning Algorithms
Authors: Tan Wei Feng  , Raihana Edros  , Ngahzaifa Ab Ghani  , Siti Umairah Mokhtar  , RuiHai Dong
Published: November 2023

In the drug development for the Central Nervous System (CNS), the discovery of the compounds that can pass through the brain across the Blood-Brain Barrier (BBB) is the most challenging assessment. Almost 98% of small molecules are unable to permeate BBB, reducing the pharmacokinetics of the drugs in the CNS by affecting its absorption, distribution, metabolism, and excretion (ADME) mechanisms. Since the CNS is often inaccessible to many complex procedures and performing in-vitro permeability studies for thousands of compounds can be laborious, attempts were made to predict the permeation of compounds through BBB by implementing the Machine Learning (ML) approach. In this work, using the KNIME Analytics platform, 4 predictive models were developed with 4 ML algorithms followed by a ten-fold cross-validation approach to predict the external validation set. Among 4 ML algorithms, Extreme Gradient Boosting (XGBoost) overperformed in BBB permeability prediction and was chosen as the prediction model for deployment. Data pre-processing and feature selection enhanced the prediction of the model. Overall, the model achieved 86.7% and 88.5% of accuracy and 0.843 and 0.927 AUC, respectively in the training set and external validation set, proving that the model with high stability in prediction.
Discovering and Recognizing of Imbalance Human Activity in Healthcare Monitoring using Data Resampling Technique and Decision Tree Model
Authors: Raihani Mohamed  , Nur Hidayah Azizan  , Thinagaran Perumal  , Syaifulnizam Abd Manaf  , Erzam Marlisah  , Medria Kusuma Dewi Hardhienata
Published: November 2023

Human activity recognition model is vital and has been use in healthcare monitoring system. Bespoke multi-modal sensors were used such as accelerometer, gyroscope, GPS, temperature, pressure mat etc. Hence, the activities involved may varied resulted on class imbalance issue therefore, the model accuracy also degraded and may not provide the desired results in all aspects. Resampling method addressed as Synthetically Minority Oversampling Technique and Tomek Link (Smote Tomek) is proposed to balance the target classes. Moreover, many classification algorithms such as Logistic Regression, SVM and Decision Tree were selected for the experiments on two datasets namely MARBLE that was publicly available and MARDA dataset. The classification accuracy of 98.36% for the MARBLE dataset and 97.45% for the MARDA dataset. While executing the classification model for training and testing data, the time has also been calculated for time efficiency. The Decision Tree model has the fastest execution time compared with other models. The execution training time for MARBLE and MARDA were: 6.51ms, testing: 12.90ms and, training: 41.30ms, testing: 1.30ms, respectively. Subsequently, the decision tree model can be deployed in a healthcare system dashboard for effective monitoring and efficient decision making.
ARTech Review: E-Learning of Visual Arts Education
Authors: Ida Puteri Mahsan  , Lee Hoi Yeh  , Harleny Abd Arif  , Norzuraina Mohd. Nor  , Che Aleha Ladin
Published: November 2023

The development of modern technologies, applying pedagogical principles, has enabled a new educational paradigm of teaching and learning in visual art. The basic task is to cultivate creative ability, human aesthetics, and appreciation. Using e-learning can encourage students to become more aware of themselves. Communicating and feeling connected to others are critical for students in online settings. The purpose of this article is to provide an overview literature in e-learning, art education, educational technology, and other education-related fields, to articulate: 1) what is currently known about online teaching and learning, (2) how the field has been conceptualized in the various research in education, and (3) what might be useful areas for future research. The database from Scopus, Mendeley and ERIC from the year 2020 – 2022 were used. This study employed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach to recognized standard for executing advanced systematic literature review to select articles and undertook thematic analysis to analyse the data. The review indicates that, the e-learning strategy depending on the teacher’s credibility and level of learner’s technology literacy. While the online learning experience in art education represent utilization of IT and multimedia in generating creative thinking skills and product innovation.
Partial Deletion of Perk Improved High-Fat Diet-Induced Glucose Intolerance in Mice
Authors: Lee Jooyeop , Kim Min Joo , Moon Seoil , Lim Ji Yoon , Park Kyong Soo , Jung Hye Seung
Published: November 2023

Although pancreatic endoplasmic reticulum kinase (PERK) is indispensable to beta cells, low-dose PERK inhibitor improved glucose- stimulated insulin secretion (GSIS) and hyperglycemia in diabetic mice. Current study examined if partial deletion of Perk (Perk+/-) recapitulated the effects of PERK inhibitor, on the contrary to the complete deletion. Perk+/- mice and wild-type controls were fed with a high-fat diet (HFD) for 23 weeks. Glucose tolerance was evaluated along with serum insulin levels and islet morphology. Perk+/- mice on normal chow were comparable to wild-type mice in various metabolic features. HFD-induced obesity was not influenced by Perk reduction; however, HFD-induced glucose intolerance was significantly improved since 15-week HFD. HFD-induced compromises in GSIS were relieved by Perk reduction, accompanied by reductions in phosphorylated PERK and activating transcription factor 4 (ATF4) in the islets. Meanwhile, HFD-induced islet expansion was not significantly affected. In summary, partial deletion of Perk improved glucose tolerance and GSIS impaired by diet-induced obesity, without changes in body weights or islet mass.
Planets Across Space and Time (PAST). IV. The Occurrence and Architecture of Kepler Planetary Systems as a Function of Kinematic Age Revealed by the LAMOST–Gaia–Kepler Sample
Authors: Yang Jia-Yi , Chen Di-Chang , Xie Ji-Wei , Zhou Ji-Lin , Dong Subo , Zhu Zi , Zheng Zheng , Liu Chao , Zong Weikai , Luo Ali
Published: November 2023

One of the fundamental questions in astronomy is how planetary systems form and evolve. Measuring the planetary occurrence and architecture as a function of time directly addresses this question. In the fourth paper of the Planets Across Space and Time series, we investigate the occurrence and architecture of Kepler planetary systems as a function of kinematic age by using the LAMOST–Gaia–Kepler sample. To isolate the age effect, other stellar properties (e.g., metallicity) have been controlled. We find the following results. (1) The fraction of stars with Kepler-like planets (F
Kep) is about 50% for all stars; no significant trend is found between F
Kep and age. (2) The average planet multiplicity (

N

¯

p

) exhibits a decreasing trend (∼2σ significance) with age. It decreases from

N

¯

p

∼ 3 for stars younger than 1 Gyr to

N

¯

p

∼ 1.8 for stars of about 8 Gyr. (3) The number of planets per star (η = F
Kep×

N

¯

p

) also shows a decreasing trend (∼2σ–3σ significance). It decreases from η ∼ 1.6–1.7 for young stars to η ∼ 1.0 for old stars. (4) The mutual orbital inclination of the planets (σ

i,k
) increases from

1

.°

2

−
0.5

+
1.4

to

3

.°

5

−
2.3

+
8.1

as the stars age from 0.5 to 8 Gyr with a best fit of

log

σ

i
,
k

=
0.2
+
0.4
×
log

Age

1
Gyr

. Interestingly, the solar system also fits such a trend. The fact that F
Kep remains relatively constant at approximately ∼ 50% across different ages suggests the robustness of planet formation throughout the history of the Galaxy. The age dependence of

N

¯

p

and σ

i,k
demonstrates that the planetary architecture is evolving, and planetary systems generally become dynamically hotter with fewer planets as they age.
Habitat heterogeneity and behavior of the Sanderling (Calidris alba) in an urban neotropical coastal wetland
Authors: Barona Daniel , Podestá Jorge
Published: November 2023

Sanderling Calidris alba is a migratory coastal bird species whose populations are affected by climatic and anthropogenic issues. Additionally, its behavioral patterns depend on habitat heterogeneity. The aim of this study was to evaluate the variation in the frequency and duration of C. alba behavior in relation to habitat heterogeneity in a Peruvian coastal wetland. Based on behaviors recorded in a previous study of C. alba during August and September 2019 at low, mid, and high tide periods in three habitats of the Coastal Wetland Poza La Arenilla (HCPA) (La Punta, Callao, Peru), differences and diversity in the frequencies and durations of such behaviors between habitats were assessed according to tide condition using the Kruskal-Wallis test, Bray-Curtis similarity index, and the number equivalent of behaviors (1D) based on the Shannon-Wiener entropy index. Additionally, a Spearman correlation analysis between the duration and frequency of behaviors for each habitat according to tide condition was conducted. General differences in behaviors (frequency and duration) between habitats were evident based on tide condition, although there was a high similarity of behaviors between areas particularly when mid and high tide levels were present. The greatest diversity of behaviors, both in frequency and duration, was observed generally during mid-tide conditions in rocky habitats. In most cases, there was a high correlation between the frequency and duration of behaviors for habitats according to tide condition. It is concluded that mid-tide conditions are associated with greater availability of soft substrates, favoring a wide variety of behaviors for C. alba, including behaviors related to foraging and locomotion.
The genus Inversotyphlus Strasser, 1962, stat. nov. and Inversotyphlus ammirandus sp. nov., a new bizarre, highly modified troglobiotic millipede (Diplopoda, Julida, Julidae) from Albania, Balkan Peninsula
Authors: Antić Dragan , Akkari Nesrine
Published: November 2023

InversotyphlusStrasser, 1962,stat. nov.is raised to the genus level and a new hydrophilous species,Inversotyphlus ammirandussp. nov., is described from the second deepest pit in Albania. This species is characterized by a highly modified head and body for a presumably semiaquatic or hygropetric life and filtering diet. It is by far the most bizarrely modified cave-dwelling julid known. The new species is diagnosed, described in detail, and richly illustrated. BesidesI. ammirandussp. nov., the genusInversotyphlusstat. nov.includes six species:I. clavatus(Antić, 2018),comb. nov.,I. edentulus(Attems, 1951),comb. nov.,I. gellianae(Makarov & Rađa, 2006),comb. nov.,I. gracilis(Antić, 2018),comb. nov.,I. lobifer(Attems, 1951),comb. nov., andI. opisthonodus(Antić, 2018)comb. nov.The subgenus Attemsotyphlussyn. nov.is here considered as a junior subjective synonym of the genusInversotyphlusstat. nov.Notes are given on the habitat ofI. ammirandussp. nov., the taxonomy of the tribe Typhloiulini and the genusInversotyphlusstat. nov., and adaptive modifications of the mouthparts.
La cosmogonie au secours des non-lecteurs
Authors: Boimare Serge
Published: November 2023

L’auteur témoigne de sa pratique de psychopédagogue avec des enfants non-lecteurs. Il met en exergue en quoi le récit de la cosmogonie tiré de la mythologie grecque donne forme aux angoisses humaines les plus archaïques et comment les non-lecteurs s’en saisissent, se dégagent de l’empêchement de penser et osent se lancer dans un nouvel apprentissage de la lecture.
Enhanced evolutionary approach for solving fractional difference recurrent neural network systems: A comprehensive review and state of the art in view of time-scale analysis
Authors: Gafel Hanan S. , Rashid Saima
Published: November 2023

The present research deals with a novel three-dimensional fractional difference neural network model within undamped oscillations. Both the frequency and the amplitude of movements in equilibrium are subsequently estimated mathematically for such structures. According to the stability assessment, the thresholds of the fractional order were determined where bifurcations happen, and an assortment of fluctuations bifurcate within an insignificant equilibrium state. For such discrete fractional-order connections, the parameterized spectrum of undamped resonances is also predicted, and the periodicity and strength of variations are calculated computationally and numerically. Several qualitative techniques, including the Lyapunov exponent, phase depictions, bifurcation illustrations, the $ 0-1 $ analysis and the approximate entropy technique, have been presented with the rigorous analysis. These outcomes indicate that the suggested discrete fractional neural network model has crucial as well as complicated dynamic features that have been affected by the model's variability, both in commensurate and incommensurate cases. Furthermore, the approximation entropy verification and $ \mathbb{C}_{0} $ procedure are used to assess variability and confirm the emergence of chaos. Ultimately, irregular controllers for preserving and synchronizing the suggested framework are highlighted.
Predicting odor profile of food from its chemical composition: Towards an approach based on artificial intelligence and flavorists expertise
Authors: Perrot N. Mejean , Roche Alice , Tonda Alberto , Lutton Evelyne , Thomas-Danguin Thierry
Published: November 2023

Odor is central to food quality. Still, a major challenge is to understand how the odorants present in a given food contribute to its specific odor profile, and how to predict this olfactory outcome from the chemical composition. In this proof-of-concept study, we seek to develop an integrative model that combines expert knowledge, fuzzy logic, and machine learning to predict the quantitative odor description of complex mixtures of odorants. The model output is the intensity of relevant odor sensory attributes calculated on the basis of the content in odor-active comounds. The core of the model is the mathematically formalized knowledge of four senior flavorists, which provided a set of optimized rules describing the sensory-relevant combinations of odor qualities the experts have in mind to elaborate the target odor sensory attributes. The model first queries analytical and sensory databases in order to standardize, homogenize, and quantitatively code the odor descriptors of the odorants. Then the standardized odor descriptors are translated into a limited number of odor qualities used by the experts thanks to an ontology. A third step consists of aggregating all the information in terms of odor qualities across all the odorants found in a given product. The final step is a set of knowledge-based fuzzy membership functions representing the flavorist expertise and ensuring the prediction of the intensity of the target odor sensory descriptors on the basis of the products' aggregated odor qualities; several methods of optimization of the fuzzy membership functions have been tested. Finally, the model was applied to predict the odor profile of 16 red wines from two grape varieties for which the content in odorants was available. The results showed that the model can predict the perceptual outcome of food odor with a certain level of accuracy, and may also provide insights into combinations of odorants not mentioned by the experts.
Conceptual Blockchain Analysis for Disaster Management
Authors: Gaur Ashutosh D.
Published: November 2023

Blockchain is a transparent, encrypted, distributed database. It is utilised effectively by financial instruments, e-government, supply networks, and others. This paper examines emergency uses for the Blockchain. There needs to be a sound information system for managing and controlling disasters, making decisions, and creating a conceptual model from disaster and blockchain literature. This chapter discusses parties exchanging and storing data on one platform. This study proposes a system model for pre-, during-, and post-disaster user scenarios. The methodology asserts holistic disaster resolution.
Potential Applications of Transmedia Storytelling for Fostering SDG Awareness and Action
Authors: Coles Jamie Neil
Published: November 2023

Transmedia storytelling is a method of reaching fandoms and communities by telling interconnected stories across different platforms and mediums, offering audiences a multitude of touchpoints through which to enter the story for a unique experience of how a narrative unfolds. This method of storytelling has been successfully employed by entertainment franchises such as Marvel, Star Wars, and Game of Thrones, but has also proven beneficial as marketing and even educational approaches. In this chapter, the author will discuss the foundations of transmedia storytelling and how such an approach could be used to better understanding and attitudes towards SDGs.
Digital Marketing Through a Diversity, Equity, and Inclusion Lens
Authors: Denga Edna Mngusughun
Published: November 2023

Digital marketing has become an integral part of modern business strategies, enabling organizations to reach a wide and diverse audience. However, the lack of diversity, equity, and inclusion (DEI) within digital marketing practices has limited its effectiveness and hindered its potential to connect with diverse consumer groups. This chapter explores the concept of digital marketing through a DEI lens, emphasizing the significance of diversity in campaigns, content creation, and overall marketing strategies. By acknowledging and incorporating DEI principles, organizations can enhance their digital marketing efforts and foster a more inclusive and representative online presence. Embracing diversity, equity, and inclusion in digital marketing is not only a moral imperative but also a strategic advantage. By adopting a DEI lens, organizations can unlock new opportunities, strengthen their brand reputation, and build meaningful connections with diverse audiences in the digital landscape.
Challenges and Sustainability of Green Finance in the Tourism Industry
Authors: Kumar Sanjeev , Talukder Mohammad Badruddoza , Kabir Firoj , Kaiser Fahmida
Published: November 2023

A country's tourism sector is a vital component of economic growth. It can benefit from 'green finance' by raising the bar for service and increasing its sense of social responsibility. Banks and other non-bank financial entities worldwide have participated in green finance initiatives for developing the tourism industry. Based on reviews of secondary sources (such as academic papers, reports on sustainability from different economic and organizations that support the environment, and printed materials of the Bangladesh bank), this chapter aims to highlight the difficulties and potentials of green banking as well as the various types of green financing (such as green mortgages, green credit cards, and green bonds), as well as the advantages of green finance in the tourism sector in Bangladesh. In addition to describing existing green finance techniques in the tourism industry, this chapter identifies the primary obstacles to expanding such practices and offers potential solutions. Enhancing green finance practices within the tourism sector are highlighted in this chapter.
Adoption Potential and Challenges of Artificial Intelligence in Banking
Authors: Kaur Arvinder , Tanwar Anita
Published: November 2023

The proliferation of artificial intelligence (AI) evolved new business models through disruptive innovations. Recent technology developments and quicker data accessibility have moved it closer to commercial applications in financial industries. The study focused on exploring the significance and emergence of AI in the banking industry. This chapter depicting the adoption of AI in the banking sector also discusses the ground-level challenges in its large-scale implementation. Exploratory research was undertaken to examine the applications and factors that support and hinder the effective adoption of AI in the banking industry. Conventional banks are adopting AI due to the emergence of FinTech start-ups in their operations to improve productivity and customer services. The findings suggest that organizational resistance due to the high cost of implementation, skill, and lack of regulatory framework creates hurdles in its fuller adoption, and trust in financial technology is the critical indicator from the user's perspective.
The Construction of Network Domain Name Security Access Identification System Based on Artificial Intelligence
Authors: Li Lin
Published: November 2023

With the popularization of the internet, cybercrime continues to increase, and traditional blacklist methods have difficulty in coping with new threats. To address this challenge, the authors propose a web domain name security access recognition algorithm based on bidirectional recurrent neural networks, aiming to more effectively combat domain name generation technology. This algorithm extracts richer semantic features at each layer through bidirectional recurrent neural networks to more accurately describe domain name features, thus effectively handling SGD problems in abnormal network traffic detection. The results show that compared with the other three algorithms, the model trained by HCA-BAGD has better performance and higher accuracy, successfully solving the problem of network security detection. This study emphasizes the importance of cybersecurity and emphasizes continuous innovation and the adoption of new technological tools to ensure the safe operation of the internet ecosystem, bringing new perspectives and solutions to research and applications in the field of cybersecurity.
The Post-COVID Deadly Trio of Mucormycosis, Invasive Aspergillosis, and Acute Kidney Injury: Physician’s Nightmare and Management Dilemma in Resource Constraint Setting
Authors: Mahapatra Debasish , Jha Vijoy Kumar , Patil Sunita , Jagadeeswaran V. U.
Published: November 2023

Invasive fungal infections are common in clinical settings of diabetes mellitus, immunosuppression, malignancy, and organ and tissue transplantation. Fungal infections were reported increasingly during the COVID-19 waves, with many cases ending in fatality. The reason for such increased incidence is deemed to be a mix of factors, with high steroid use being a major contributor. We present a patient with mixed mucormycosis and invasive aspergillus infection of paranasal sinuses, postrecovery from moderate COVID-19 disease. The patient developed acute kidney injury after starting liposomal amphotericin B, and it had to be stopped. The dilemma was “What next?” since the drug of choice could not be continued. The patient was managed with surgical debridement, intense surveillance, and alternate antifungals. The outcome was encouraging. We discuss the dynamics of polyene-induced renal function impairment, the possibility of the use of alternate antifungals and their basis, and the importance of a combination approach as a recipe for success.
Cyclical Changes of Peak Expiratory Flow Rate in Healthy Young Females
Authors: Dash Sipra , Jena Sunil Kumar , Behera Satyanarayan
Published: November 2023

Background:

Menstrual cycle is a natural physiological process of female during reproductive age group. Changes of estrogen and progesterone in different phases of menstrual cycle play a crucial role in respiratory functioning. Hence, this study was designed to estimate the change of peak expiratory flow rate (PEFR) in different phases of menstrual cycle.

Materials and Methods:

This study included 73 healthy young females of age group of 20–25 years. All participants were in the range of normal body mass index. Weighing machine VIRGO Model no 9811 B was used for the estimation of body weight. The machine was standardized by a known 20 kg weight material. The height of the subject was measured by stadiometer and expressed in meter. PEFR was recorded by Mini Wright’s peak flow meter. PEFR recording was done between 3rd and 4th days of cycle for menstrual phase, between 10th and 12th days of cycle for proliferative phase, and between 21st and 25th days of cycle for secretory phase.

Results:

The PEFR in menstrual, proliferative, and secretory phases of menstrual cycle was 310 ± 43, 347 ± 52, and 377 ± 47 L/min, and these variations were found to be significant with P < 0.0001. Post hoc analysis of PEFR between the groups showed P value between Group I-II, II-III, and III-I was 0.019, 0.048, and < 0.0001, respectively (I – menstrual phase, II – proliferative phase, and III – secretory phase).

Conclusion:

This study observed that the PEFR in secretory phase is highest, followed by proliferative phase then menstrual phase.
Prevalence and risk factors of multidrug-resistant tuberculosis in Jazan, Saudi Arabia
Authors: Abdelfattah Wael , Darraj Majid A , Yassin Abuobaida K , Shalaby Heba M
Published: November 2023

Background

Drug-resistant tuberculosis (DR-TB) is a global challenge. Owing to its high annual mortality and morbidity rates, as stated in the annual global TB reports provided by WHO, the prevalence of multidrug-resistant tuberculosis (MDR-TB) or rifampicin-resistant tuberculosis was shown to be increasing worldwide in 2021. Patients with tuberculosis from 2018 to 2022 represented ~40 million individuals, including 1.5 million with DR-TB. The study’s goal was to identify MDR-TB prevalence and risk factors in Jazan, Saudi Arabia.

Patients and methods

The research was done on 114 patients diagnosed with pulmonary TB in Jazan Chest Hospital from January to April, 2019. Demographic data were collected. Monteux test, chest radiograph, sputum smear, and Lowenstein–Jensen culture were performed for all patients with pulmonary TB. Patients were allocated in either group A, with 103 (90.4%) patients, if they had Mycobacterium tuberculosis-susceptible isolates, or in group B, with 11 (9.7%) patients, if they had M. tuberculosis-resistant isolates.

Results

The observed overall DR-TB prevalence was 9.7%. The proportion of MDR isolates was 7%, polyresistant isolate TB was 0.9%, rifampicin-resistant tuberculosis was 0.9%, and ethambutol-resistant TB was 0.9%. Females were more in group B (54.5%) than in group A (26.2%). Unmarried patients were higher in group A (60.2%) than in group B (29.3%). Comorbidities had significant values in the drug-resistant groups (90.9%).

Conclusion

The study showed that screening and treatment of DR-TB are crucial for the control of TB in Jazan and Saudi Arabia as a whole.
Physical and functional profile of ICU patients and correlation between functional scales (Physical function in ICU test – scored PFIT)
Authors: Tageldin Mohamed A , Raafat Riham H , Noah Zeynab
Published: November 2023

Background

Each component of the original physical function ICU test (PFIT) had little clinical utility. Given the growing body of research on ICU strength and mobility, objective functional evaluations with great clinical usefulness are needed. Scoring the original PFIT improves clinical utility and research to compare ICU patient function and intervention responsiveness.

Aim

To evaluate the muscle strength and functional condition of ICU patients and link these procedures to the length of stay at Ain Shams University Hospital and outcome.

Patients and methods

The research included 40 patients who were admitted to the respiratory ICU either mechanically ventilated or not.

Results

There was high significant decrease in TLC; there was high significant increase in Hb, albumin, K, and Mg according to two assessment points. Most patients had a score of 3 of shoulder strength and knee strength but score 2 regarding Sit to stand assistance. There was high significant increase in PFIT-s in the second assessment. There was substantial enhancement in the second assessment compared with first assessment regarding different score results.

Conclusion

Based on the finding we conclude that, prolonged immobility during hospitalization results in loss of muscle strength and functional capacity. There was positive correlation between muscular strength and functional status, considering PFIT scales. The longer length of stay in ICU, the greater the loss of functional capacity in critical patients.