bluuebunny/crossref_metadata_2025 huggingface dataset:
Diagonale du style médiéval
Authors: Mosset Yannick
Published: November 2022

L’article cherche à justifier l’emploi du concept de style sur un corpus médiéval, ce qui implique, d’une part, de proposer une définition qui puisse étayer une approche épistémologiquement solide des textes et, d’autre part, de vérifier que cette définition reste pertinente pour un corpus médiéval. Pour ce faire, le cadre théorique de la « diagonale du style », emprunté à Anna Jaubert, sera utilisé et décliné à partir de trois « saisies » pertinentes : le style dans la langue, la stylistique de genre et la stylistique d’auteur. Au-delà du soubassement théorique proposé, l’article appelle ainsi à une stylistique descriptive et historique qui puisse rendre compte de l’évolution des manières d’écrire au moyen âge.
Sung-Wook Moon, Rutebeuf ou une écriture du « divers »
Authors: Moon Sung-Wook
Published: November 2022

Redécouvert depuis deux siècles, Rutebeuf a désormais le statut d’un grand poète du Moyen Âge. Cette réputation a toutefois eu pour effet secondaire de décourager l’effort de relire son œuvre sur nouveaux frais. Sa polygraphie, allant et venant entre fabliau et hagiographie, satire du monde et auto-dérision, a aussi incité tantôt à répartir sa cinquantaine de poèmes en différentes catégories ayant peu à voir entre elles, tantôt à privilégier tel ou tel groupe de textes au détriment du reste. Examinant les acquis scientifiques existants, tant dans le domaine littéraire et philologique que sur le plan historiographique, et affrontant de nouvelles questions provoquées par une poésie plus subtile qu’on ne l’a souvent crue, cette étude ambitionne de restituer à l’écrivain médiéval une écriture consciente de ses forces et de ses faiblesses, écriture élaborée en prise et aux prises avec l’histoire et l’actualité, réfléchissant sur les rapports entre son langage inéluctablement fabuleux et la réalité du monde qu’il habite, non sans en tirer quelques prétentions audacieuses à propos des mérites propres à son travail. L’unité de l’œuvre de Rutebeuf provient de la constance de l’interrogation qui la traverse. Par là, cet individu dont on ignore même le vrai nom apparaît comme un sujet, identique à lui-même dans la diversité de ses actes qu’il s’attribue tous, et dont il assume la pleine responsabilité.
Humanities in the Age of Blockchain Technology and Web 3.0
Authors: Nkosinkulu Zingisa
Published: November 2022

Although there has been a call for the transformation of the world from the Eurocentric paradigms to a decolonised and decentralised world, the role of technology is still embedded and continues to be at the centre of everything in society. Over the past few years, particularly from 2019 to 2022, since the discovery of the COVID-19 pandemic, the technological interdependency intensified by moving contact spaces to online platforms, private resources to open resources, including the pedagogical space. Despite advances in technology and pedagogy and their relation to education, and the focus on the local and global, the new internet and teaching and learning including its policy still lack serious engagement with blockchain technology and the metaverse, as well as how to effectively utilise it. This chapter address this gap by using Howard Gardner's theory of ‘multiple intelligences' to consider the role of blockchain technology and the metaverse as new options for the facilitation of open-ended teaching and learning that has emerged in the age of Web 3.0.
Intrinsic Rewards and Sustainability-Oriented Entrepreneurial Intentions
Authors: Srivastava Mayuri , Shivani Shradha , Dutta Sraboni
Published: November 2022

In the 21st century, the Sustainable Developmental Goals have become the pivot of economic development worldwide. Hence, the need to promote sustainability-oriented entrepreneurial behaviour has increased manifold. Intentions are assumed to capture the motivational factors that influence an individual's behaviour. Thus, behavioural intentions play a significant role in bridging the gap between sustainable development and sustainable entrepreneurial behaviour. This study aims at understanding the role of intrinsic rewards in shaping the sustainability-oriented entrepreneurial intentions of individuals. The case study method is adopted to understand and validate the theories referred. The sub-constructs of intrinsic rewards like altruism, socio-emotional feelings, pro-environmental values, autonomy, and community feeling aspirations were found to drive the sustainability-oriented entrepreneurial intentions of an individual. Lack of awareness of the structural environment support was highlighted as a hindrance in fostering the sustainable entrepreneurship ecosystem in the Indian economy.
Digital Transformations in Business and FinTech
Authors: Zeerak Adeel Ahmed , Arshad Razi , Abbas Naveed Naeem , Chaudhry Usama Habib
Published: November 2022

The ever-growing technological innovations and inventions are reshaping businesses at external and internal levels. Digital transformation is the process that integrates technologies in business processes and strategies. This transformation is mostly dependent on data and is driven by evolving technologies, rapid growth in competition, and shift in consumer behavior. It enables a business to be more agile and productive and to provide a better customer experience. This chapter discusses the impact of digital transformation in business and the fintech industry by highlighting the modern technologies used in transformation, the effect on business, the fintech industry, and their current trends. Furthermore, it elaborates on how digital transformation affects businesses at different levels. Lastly, it discusses the challenges faced by businesses in the process of digital transformation and recommends solutions for them.
Scaffolding Undergraduate Students' Ethical Cyber Behaviour With Philosophy and Theory
Authors: Zaman Tariq , Lau Hui Yi Adrian , Cheng Haw Yih
Published: November 2022

Due to the growing challenges of cyber security, accreditation agencies demand computing ethics and professionalism as part of the computer science undergraduate curriculum. Many professional bodies developed codes of ethics and professional conduct, providing fundamental principles and letting the professional “decide” their response to face ethical dilemmas. The ethical codes rarely provide examples from real life. Therefore, in a six-month semester, the authors developed a teaching and learning module simulating real-life conflicting scenarios to enable students to participate in ethical and philosophical argumentation. They also target to demonstrate how storytelling, conflicting scenarios, and comics can be used to enhance computer science students' engagement in theoretical and philosophical discussions related to ethical cyber behaviour. Two assignments were part of the students' evaluation. They need to develop textual and visual conflicting scenarios for co-distributed clauses of the ACM code of ethics and then test those scenarios with users.
Enhancing Cybersecurity Through Blockchain Technology
Authors: Sriram V. P.  , Sanyal Shouvik , Laddunuri Madan Mohan , Subramanian Mathiraj , Bose Vijay , Booshan Bharath , Shivaram Chethan , Bettaswamy Manasa , Booshan Shabista , Thangam Dhanabalan
Published: November 2022

Blockchain technology ensures data security through an integrated system whereby it collects, arranges, stores, and disseminates information in different blocks. This technology thus enables adding the data to the network. Once data has been added to the network, no one can alter the data set either by adding or deleting it. Further, this technology also helps to track and check the changes if anything is made to a blockchain, as the changes remain in the database forever. Since this technology uses lots of systems in a blockchain, it will regularly download its data, arranging, and keeping the copy locally. Locating the data errors and cyberattacks in advance by analyzing the data documented, it employs the consent of various participants and accomplishments in cryptography. With this backdrop, the chapter has attempted to disclose the basics of blockchain technology in data security, why blockchain in cybersecurity, how it ensures cybersecurity, its benefits, its innovative uses, and the future of cybersecurity in the online business platforms.
A Secure Distributed System for the Electronic Voting System Using Blockchain Technology
Authors: Latif Rana Muhammad Amir , Riaz Muhammad Usama
Published: November 2022

Traditionally, electronic voting has relied on a centralized method of administration. The database and the system are both under the jurisdiction of the system's central administration, which oversees the voting process. As a result, issues like database manipulation and duplicate voting may arise, whether accidentally or purposefully. Permissionless blockchain technology has helped overcome many of these issues; however, since the basic consensus technique of such blockchains demands particular computer resources for each voting operation, they are not ideal for new voting systems. Power consumption, efficiency, and system latency all suffer as a result. These issues may be alleviated in part if electronic voting technologies are used. By using corporate blockchain technology, this research presents an electronic voting system that is very reliable and secures the secret vote. It also discusses some of the frequent security and dependability challenges of electronic voting system solutions, such as a flexible network setup.
Blockchain-Based Secure and Efficient Ride Sharing System
Authors: Latif Rana Muhammad Amir , Asghar Muhammad Ibtisam , Umer Muhammad , Hussain Khalid
Published: November 2022

The attractive advantages of ridesharing include reduced traffic congestion and shared travel costs for users and drivers. However, most existing rideshare systems rely on an intermediary to coordinate the service, creating a single point of failure and raising privacy issues about exposure through internal and external assaults. The suggested approach allows drivers to provide ridesharing services directly to riders without needing a central hub or reliable intermediary. Sharing trips may teach passengers and drivers about transportation logistics without requiring them to change their plans or costs. The suggested system employs a time-locked technique to solve these problems. A membership deposit system for ridesharing services uses smart contracts and zero-knowledge evidence gathering. In short, the driver and the passenger need to put up some deposit to prove they are serious about using the blockchain. Later, a driver must show the blockchain that he or she was at the agreed-upon pick-up location at the appointed time.
Re-Thinking Cryptocurrencies as Safe-Haven Investment
Authors: Mariana Christy Dwita , Ekaputra Irwan Adi , Husodo Zaäfri Ananto , Tamara Dewi
Published: November 2022

This chapter investigates the global crisis's impact on the safe-haven role of the two most significant cryptocurrencies based on their market capitalizations: Bitcoin and Ethereum. This study compares the volatility transmission between the Bitcoin and stock markets in four emerging countries: Indonesia, Malaysia, Nigeria, and South Africa. This study follows the framework of volatility transmission of Diebold and Yilmas. This research also investigates the safe-haven role of cryptocurrencies using the safe-haven regression analysis and decoupling hypothesis. Overall results support the notion of cryptocurrencies as alternative investments. On average, the pairwise volatility spillover between Bitcoin and stock market in Indonesia, Malaysia, Nigeria, and South Africa reverted back to half of its mean in about 2-3 days. This result suggests on the choice of short-term investment for investors in the Bitcoin market. This study contributes to the discussion of cryptocurrencies as safe haven.
Telemedicine in Pandemic Times in Indonesia
Authors: Komalasari Rita
Published: November 2022

In the last decade, telemedicine has become more popular, including electronic health records, illness risk assessments, online consultations, and electronic pharmaceuticals. Because of the rapid growth of the information society, telemedicine represents a new trend in the healthcare sector. This chapter presents a first step toward creating an intelligent healthcare mode that balances medical resources and demand. This chapter represents a discussion about the potential role of telemedicine in Indonesia from a healthcare professional's perspective. This chapter contributes to generating greater knowledge of how these technologies could have helped deal with the aftereffects of the current pandemic and the emergence of future pandemics.
Automatic Image Captioning Using Different Variants of the Long Short-Term Memory (LSTM) Deep Learning Model
Authors: Kundu Ritwik , Singh Shaurya , Amali Geraldine , Noel Mathew Mithra , Umadevi K. S.
Published: November 2022

Today's world is full of digital images; however, the context is unavailable most of the time. Thus, image captioning is quintessential for providing the content of an image. Besides generating accurate captions, the image captioning model must also be scalable. In this chapter, two variants of long short-term memory (LSTM), namely stacked LSTM and BiLSTM along with convolutional neural networks (CNN) have been used to implement the Encoder-Decoder model for generating captions. Bilingual evaluation understudy (BLEU) score metric is used to evaluate the performance of these two bi-layered models. From the study, it was observed that both the models were on par when it came to performance. Some resulted in low BLEU scores suggesting that the predicted caption was dissimilar to the actual caption whereas some very high BLEU scores suggested that the model was able to predict captions almost similar to human. Furthermore, it was found that the bidirectional LSTM model is more computationally intensive and requires more time to train than the stacked LSTM model owing to its complex architecture.
DL-EDAD Deep Learning Approach to Early Detection for Alzheimer's Disease Using E-GKFCM
Authors: Sanjay V.  , Swarnalatha P.
Published: November 2022

In Alzheimer's disease (AD), memory and cognitive abilities deteriorate, affecting the capacity to do basic activities. In and around brain cells, aberrant amyloid and tau protein accumulation is believed to cause it. Amyloid deposits create plaques surrounding brain cells, whereas tau deposits form tangles inside brain cells. The plagues and tangles harm healthy brain cells, causing shrinkage. This damage seems to be occurring in the hippocampus, a brain region involved in memory formation. There are presently no methods that provide the most accurate outcomes. The current techniques do not identify AD early. The proposed DL-EDAD method achieves excellent clustering using CNN with E-GKFCM (enhanced gaussian kernel fuzzy c-means clustering). The E-GKFCM utilizes an elbow method to determine the number of clusters in a dataset. Unlike other medical pictures, brain scans are extremely sensitive.
Deep Learning-Based Computer Vision for Robotics
Authors: Doraipandian Manivannan , J. Sriram , D. Yathishan , S. Palanivel
Published: November 2022

Under vision research, processes, and criteria for robotic vision based on multiple stages were set based on prerequisites for robot vision success, need for vision in industries, and advancements in image processing techniques. AI helps robotics by allowing a collaborative robot to accomplish new jobs based on data trends. Deep learning-based artificial vision is used to replicate human vision. Deep learning uses general-purpose learning techniques and convolution neural networks to learn data-driven representations. Deep learning helps vision robots remove overlaps, distortions, and misalignments. Vision control using a recognition algorithm based on vision schemes is highlighted. In this chapter, existing forms of mobile, data acquisition and control, manipulating, and vision-based robotic systems are introduced. Robotics' key focus areas, such as posture estimation, path planning, and mobility based on picture memory and deep learning, enable qualitative topological navigation, localization, and mapping of the environment.
Image Enhancement Under Gaussian Impulse Noise for Satellite and Medical Applications
Authors: Aetesam Hazique , Maji Suman Kumar , Boulanger Jerome
Published: November 2022

Remote sensing technologies such as hyperspectral imaging (HSI) and medical imaging techniques such as magnetic resonance imaging (MRI) form the pillars of human advancement. However, external factors like noise pose limitations on the accurate functioning of these imaging systems. Image enhancement techniques like denoising therefore form a crucial part in the proper functioning of these technologies. Noise in HSI and MRI are primarily a mixture of Gaussian and impulse noise. Image denoising techniques designed to handle mixed Gaussian-impulse (G-I) noise are thus an area of core research under the field of image restoration and enhancement. Therefore, this chapter discusses the mathematical preliminaries of G-I noise followed by an elaborate literature survey that covers the evolution of image denoising techniques for G-I noise from filtering-based to learning-based. An experimental analysis section is also provided that illustrates the performance of several denoising approaches under HSI and MRI, followed by a conclusion.
Predictive Analytics on Female Infertility Using Ensemble Methods
Authors: M. S. Simi , I. Manish T.
Published: November 2022

With the accessibility of healthcare data for a significant proportion of patients in hospitals, using predictive analytics to detect diseases earlier has become more feasible. Identifying and recording key variables that contribute to a specific medical condition is one of the most difficult challenges for early detection and timely treatment of diseases. Conditions such as infertility that are difficult to detect or diagnose can now be diagnosed with greater accuracy with the help of predictive modeling. Infertility detection, particularly in females, has recently gained attention. In this work, the researchers proposed an intelligent prediction for female infertility (PreFI). The researchers use 26 variables for the early diagnosis and determine a subset of these 26 variables as biomarkers. These biomarkers contribute significantly to a better prediction of the problem. The researchers designed PreFI using ensemble methods with biomarkers and improved the performance of the predictive system.
Aplicação de Aritmética Modular no Calendário
Authors:   Universidade Estadual de Maringá, Bemm Laerte , Leopold Guilherme Liegel , Bemm Priscila C. F. de Jesus
Published: November 2022

Neste trabalho deduzimos uma fórmula que permite determinar o dia da semana de qualquer data a partir de 1º de Março de 1600.
The shaming of people with disabilities in clinical practice: a bioethical critique
Authors: Andrade Gabriel , Redondo Maria Campo
Published: November 2022

Shaming is defended by some as a necessary measure of social control. But shaming is unjust to the extent that it is disproportionate, and largely counterproductive. While much progress has been made, people with disabilities are still frequently at the receiving end of shaming. This is manifest in disregard for accommodation requests, condescending attitudes and overall lack of empathy towards people with disabilities. These trends are also manifest in clinical settings. Medical staff and healthcare workers need to seriously consider this state of affairs and embrace attitudinal changes and policies that contribute to a more welcoming atmosphere towards the disabled, and consequently curb the shaming to which they have been traditionally exposed.
Guest Editorial
Authors: Mncube Liberty , Ngepah Nicholas , Roberts Simon
Published: November 2022

No abstract available.
The assessment of joint purchasing: Can too much ‘buying power’ ever be a problem
Authors: Anderson Paul , Fiandeiro Fatima , Choudhary Keshav
Published: November 2022

The creation of ‘buying power’ through joint purchasing agreements is often seen as positive, with direct benefits for consumers in the form of lower prices. Even where joint purchasing agreements lead to the creation of a monopsonist, economic theory suggests that the welfare effects of monopsony power depend greatly on the market context, with some economists proposing that the probability of harm in cases involving monopsony power is considerably lower than in cases of a monopoly. Despite this view, section 4(1)(b) of the South African Competition Act classifies the ‘fixing of a purchase or selling price or any other trading condition’ by competitors as a per se prohibition. This implies that from a legal perspective purchasing agreements may be afforded the same draconian treatment as selling cartels. This paper considers whether this potentially punitive treatment of joint buying arrangements under section 4(1)(b) is warranted and indeed whether the equivalent treatment of joint buying and selling agreements under this section of the Act is appropriate.
Gold futures prices: An investigation into the theories of storage and forecast power and premium
Authors: Page M. J.
Published: November 2022

There are two principal theories of commodity futures prices. The theory of storage, which explains the difference between contemporaneous futures and spot prices (the basis) in terms of interest rates, warehousing costs, and convenience yields, and the theory of forecast power and premium, which is based on the assumption that the futures price is a biased estimate of the expected spot price. This research paper examines the applicability of the two theories to the pricing of short term gold futures contracts. The findings suggest that, in terms of the theory of storage, the basis variability is explained principally by interest rate changes for contracts of between three and six months duration, while for one-month contracts varying convenience yields appear to be the dominant factor. The low basis variability of gold futures contracts results in inconclusive findings with respect to the theory of forecast power and premium. There is, however, evidence to suggest that the basis contains some ability to predict the expected premium or bias.
Comparative Evaluation of Antimicrobial Efficacy of Herbal Formulations of Septilin and Triphala with Conventional 2% Chlorhexidine on Root Canal and Oral Commensal Bacteria using Kirby Bauer Method
Authors: Ahmed Shadab , Shahnawaz Kamil , Mandal Tapan Kumar , Ghafir Mamnoon , Gummaluri Shiva Shankar , Vishal Gaurav
Published: November 2022

Background:

Endodontic flareups are always very difficult to treat because of reasons like drug resistance previously sodium hypochlorite and chlorhexidine have been used in the literature but with advancements newer materials like herbal products have been tried for this purpose. Thus, present vitro study was conducted to comparatively evaluate the efficacy of herbal formulations on commensals of oral cavity and root canal.

Materials and Methods:

In this in vitro study antimicrobial efficacy of chlorhexidine 2%, Septilin and Triphala wer evaluated with the help of Kirby Bauer test. The microorganisms used were Staphylococcus aureus and Escherichia coli. The samples were placed in standardized wells and were subjected to incubation. Subsequently zones of inhibition were measured with the help of a caliper. One-factor analysis of variance, Tukey's least significant difference post hoc test and Student's independent t-test were performed to find a significant difference (P < 0.05) in the two groups.

Results:

For chlorhexidine in S. aureus mean antibacterial efficacy was 11.10 ± 1.25 and in E. coli 10.0 ± 1.33. The value for S. aureus was lesser in Triphala with a value of 10.35 ± 1.63 and in E. coli mean value was 9.05 ± 1.27. For Septilin the mean for S. aureus was 10.40 ± 1.04, and the mean antibacterial efficacy in E. coli was 9.65 ± 1.38.

Conclusion:

Septilin and Triphala showed remarkable efficacy concerning zones of inhibition. These herbal formulations have tremendous potential to be used as adjuncts to traditional disinfection modalities though it has scope of further research.
Role of chest radiography in COVID-19
Authors: Mohammad Badusha , Nandimandalam Namratha , Yerramsetti Sampath , Penumetcha Sravani , Bathula Bharghav Prasad
Published: November 2022

OBJECTIVES:

The objective of this study is to evaluate the clinical profile of coronavirus disease-2019 (COVID-19) patients admitted to our hospital and to correlate their chest radiographic patterns with disease severity.

MATERIALS AND METHODS:

We retrospectively reviewed 500 patients with COVID-19 confirmed by reverse transcription-polymerase chain reaction who had abnormal baseline chest X-rays (CXRs) at the time of hospital admission. CXRs were characterized based on the site and nature of the lesions. Disease severity was determined using the Radiographic Assessment of Lung Edema (RALE) score.

RESULTS:

Significant associations were found between (1) the lesion site and patient outcome (P < 0.00001): patients with diffuse and basal infiltrates had high intensive care unit (ICU) admission rates (55.5% and 40%) and mortality rates (30.5% and 20%); (2) the nature of the lesion and patient outcome: patients with ground-glass opacities and consolidation had high mortality (20% and 18%, respectively); and (3) the RALE score and patient outcome: patients with a RALE score >15 had higher ICU admission and mortality rates.

CONCLUSIONS:

The CXR distribution patterns helped to triage patients and predict outcomes.
Chest imaging characteristics of mycoplasma pneumoniae pneumonia in children
Authors: Chu Caiting , Xu Lei , Gao Chengjin
Published: November 2022

Mycoplasma pneumoniae pneumonia (MPP) is the most common type of childhood community-acquired pneumonia. MPP is generally mild and self-limiting, but a small percentage of patients still develop a refractory or severe clinical course. Imaging is an important tool for confirmed pneumonia, and it plays an important role in the diagnosis of MPP and assessment of the clinical course. However, imaging features of MPP reported in the literature vary in their patterns to distribution. A comprehensive and deep understanding of imaging findings of MPP in children is beneficial for an accurate diagnosis and guidance of its treatment.
Review of Food Safety Violations: Urban School Foodservice
Authors:   School of Hospitality Leadership, DePaul University,  14 East Jackson, Suite 320, Chicago, IL 60604, USA, Reynolds Joel
Published: November 2022

In the United States over 29 million elementary and high school students, a potentially higher risk population, consume school lunches each day, and the need for proper food safety is paramount. Though numerous interventions have been implemented in school foodservice, foodborne illness continues to be an issue in the United States. Ultimately, an understanding of recurring food safety violations would inform development of targeted food safety training interventions that could mitigate the number of foodborne illness outbreaks. The aim of this study was to analyze food safety violation trends from 2010 to 2019 in a large urban school system to explore research and educational opportunities. Over 20% of food safety inspections resulted in failure; 9.0% of all violations were critical, 11.9% were serious, and 79.1% were minor. These findings underscore the need to reevaluate current food safety educational interventions and food safety handling practices. Key critical and serious violation trends were lack of food safety knowledge, lack of temperature controls throughout the food preparation process, and lack of appropriate supplies. Recurring minor violations pertained to cleanliness of the facility (ventilation, flooring,
On-Farm Readiness Review Tool and Training Curriculum to Help Farmers Assess Their Readiness to Comply with the FSMA Produce Safety Rule
Authors:   Rutgers, The State University of New Jersey, 1440 Parkside Ave., Ewing, NJ 08638-2921, USA, Melendez Meredith
Published: November 2022

A team of extension professionals and state and national regulatory staff convened by the National Association of State Departments of Agriculture developed the On-Farm Readiness Review (OFRR) to support farm personnel on compliance with the Food Safety Modernization Act (FSMA) Produce Safety Rule (PSR). The OFRR tool was created to align the FSMA PSR provisions with relevant farming practices in time and space; it also linked recommendations for implementation of PSR requirements and offered evaluation criteria to assess PSR compliance before inspection. The developed tool is composed of a decision tree, walk-around questions, and a resource manual. The tool is the foundation of the training curriculum. The tool and curriculum were piloted and evaluated by participants to inform additional development of the final product. OFRR trainings were held nationally, and participants were trained on how to use the tool to conduct a confidential on-farm assessment of a farm’s readiness for a FSMA PSR inspection. The tools and training have had a beneficial impact on participants understanding of the FSMA PSR, have increased the assessors’ ability to apply the PSR to the farm, and have developed trained assessor teams that are able to evaluate inspectional readiness in their home state.
On the matrix function $_pR_q(A, B; z)$ and its fractional calculus properties
Authors: Dwivedi Ravi , Sanjhira Reshma
Published: November 2022

The main objective of the present paper is to introduce and study the
function $_pR_q(A, B; z)$ with matrix parameters and investigate the
convergence of this matrix function. The contiguous matrix function relations,
differential formulas and the integral representation for the matrix function
$_pR_q(A, B; z)$ are derived. Certain properties of the matrix function
$_pR_q(A, B; z)$ have also been studied from fractional calculus point of view.
Finally, we emphasize on the special cases namely the generalized matrix
$M$-series, the Mittag-Leffler matrix function and its generalizations and some
matrix polynomials.
On average coherence of cyclotomic lattices
Authors: Fukshansky Lenny , Kogan David
Published: November 2022

We introduce maximal and average coherence on lattices by analogy with these
notions on frames in Euclidean spaces. Lattices with low coherence can be of
interest in signal processing, whereas lattices with high orthogonality defect
are of interest in sphere packing problems. As such, coherence and
orthogonality defect are different measures of the extent to which a lattice
fails to be orthogonal, and maximizing their quotient (normalized for the
number of minimal vectors with respect to dimension) gives lattices with
particularly good optimization properties. While orthogonality defect is a
fairly classical and well-studied notion on various families of lattices,
coherence is not. We investigate coherence properties of a nice family of
algebraic lattices coming from rings of integers in cyclotomic number fields,
proving a simple formula for their average coherence. We look at some examples
of such lattices and compare their coherence properties to those of the
standard root lattices.
Gasto sanitario público y esperanza de vida: una inversión saludable
Authors: Zueras Pilar , Rentería Elisenda
Published: November 2022

Durante la crisis financiera y la posterior recesión económica, la esperanza de vida en España continuó con su tendencia de crecimiento, pasando de 82,3 años en 2008 a 82,92 en 2014. Sin embargo, en un contexto de bajas tasas de mortalidad, es importante conocer la evolución del tiempo que vivimos en buena y mala salud. España es un país con una gran heterogeneidad regional y una sanidad pública descentralizada, lo que nos permite observar cómo diversos factores regionales económicos y sociodemográficos pueden estar asociados a cambios en los indicadores de salud. En este trabajo analizamos la evolución de los años de esperanza de vida con y sin las condiciones de salud más prevalentes e incapacitantes a partir de los 50 años en 17 Comunidades Autónomas para entender su asociación con diversos factores macro socioeconómicos, de provisión pública de servicios de salud, de gasto público sanitario y de comportamientos relacionados con la salud. El período de análisis se extiende desde 2006 a 2019, para poder captar las fases de expansión, crisis y recuperación económica que se han vivido en los últimos años. Los resultados muestran que el gasto sanitario público per cápita es uno de los componentes que más explica las diferencias de salud entre regiones, y que un mayor gasto sanitario público implica más años vividos en buena salud y menos años vividos en mala salud.
Evaluación del programa de Formación Inicial Docente FID-USAC
Authors: Cardona Monroy María Iliana , Villela Cervantes Claudia Esmeralda Marisol , Orenos Pineda Greta Lucía Teresa , Espinoza María del Rosario , Valenzuela Maribel Alejandrina , Diéguez Carmen Alicia
Published: November 2022

PROBLEMA: la evaluación del programa es de impacto a nivel nacional, porque permite presentar al Ministerio de Educación y a la Universidad de San Carlos de Guatemala, resultados que sirvan para tomar decisiones respecto al programa de Formación Inicial Docente (FID). OBJETIVO: evaluar el programa de Formación Inicial Docente (FID). MÉTODO: se utilizó metodología mixta, con variables cualitativas y cuantitativas, la muestra total de 1,065 sujetos. La investigación se realizó a nivel nacional, en las sedes departamentales de la Facultad de Humanidades donde funciona el programa de Formación Inicial Docente. RESULTADOS: los estudiantes que ingresan al programa FID tienen el grado 4 de preparación que equivale a “muy bien”. Los comentarios de los empleadores al refererirse al desempeño de los graduados son positivos ya que el comentario “excelente preparación” obtuvo un 81%. El grado de satisfacción de los empleadores obtuvo en promedio 78% que equivale al grado 3 “bien” según la tabla de valoraciones del rango de preparación o calidad. En lo negativo los docentes del programa FID reciben salarios con atraso. CONCLUSIÓN: al establecer la ubicación laboral únicamente el 32% ha laborado y un 18% labora en MINEDUC. No existe una política de contratación en MINEDUC que incluya a los graduados del programa FID.
Transcriptome profiling of Penaeus vannamei hepatopancreas infected with WSSV following feeding diet containing ulvan
Authors: Serrano Augusto E. , Tumbokon Barry L.M.
Published: November 2022

The present study aimed to elucidate the mechanism of protection provided by dietary ulvan as observed in previous studies. Thirty shrimps (3.35 ± 0.08 g average body weight) were stocked in six polyethylene tanks (5 shrimps tank-1, treatments were in three replicate/tank) and were fed either a diet containing no ulvan (control) or containing ulvan at 1 g kg diet-1 for 35 days at 10% body weight twice daily. At the termination of the feeding, the shrimps were subjected to a white spot syndrome virus (WSSV) challenge test via intramuscular injection of the viral inoculum. Shrimps were sacrificed after 24 h of exposure, and the hepatopancreas was excised for total RNA extraction for transcriptome profiling. Biological validation of the RNA-seq results was also performed for 10 immune-related genes (6 up- and 4 down-regulated genes). A comparison of the ulvan group with the control group revealed that 69 differentially expressed genes (DEGs) were significantly up-regulated, whereas 640 were significantly down-regulated. 184 DEGs between the control and ulvan-treated groups were classified into six KEGG categories of Metabolism (145 DEGs), Organismal systems (16), Human disease (4), Genetic Information Processing (10), Cellular Processes (2), and Environmental Information Processing (7). The 145 DEGs under Metabolism were distributed to Level 2 subcategories as carbohydrate metabolism (59 DEGs), global and overview maps (44), energy metabolism (27), and amino acid metabolism (15). All candidate immune-related genes (67) were down-regulated except for 5 genes. The validation experiment showed proportionality of gene expressions of the qPCR and of those in the assembled transcriptome, justifying the acceptability of the RNA-seq results. In conclusion, data from the present study provided mechanisms for protecting the white shrimp by dietary ulvan against WSSV infection.
Analysis of Mutual Fund Performance in India: Literature Review
Authors:   Research Scholar Osmania University, Hyderabad, Begum Farzana
Published: November 2022

This paper chronicles the existing literature on performance Analysis of Mutual Funds. The paper includes the studies conducted on various aspects of mutual funds. There is a tremendous amount of documentation on mutual fund performance. Some of the research studies that have impacted the preparation of this paper are reviewed in detail in this paper.
A Study on Corporate Disclosure Practices: Literature Review
Authors:   Research Scholar Osmania University, Hyderabad, Begum Ruheena
Published: November 2022

This paper set downs the existing literature on Corporate Disclosure Practices. The paper includes the studies conducted on various aspects of corporate disclosure practices. The objective of this paper is to interpret the existing literature on corporate disclosure practices. Literature on corporate disclosure practices evaluation is expansive. A few research studies that have shaped the preparation of this paper are considerably discussed in this paper.
A STUDY ON MANIFOLD KAEHLERIAIN SPACE
Authors:   Department of Mathematics P. B.P.G. College, Pratapgarh City, Pratapgarh (U.P.), Singh Dr. Rajeev Kumar , Singh Dr. Brijesh Pratap ,   Department of Mathematics Raja Harpal Singh Mahavidyalay, Singramau, Jaunpur (U.P.)
Published: November 2022

This work delves into the space-time theory of the 4-dimensional Kaehler manifold. Since the isotropic pressure, energy density, and energy momentum tensor all vanish in a perfect fluid Kaehler space-time manifold, we have established that this space-time manifold is an Einstein manifold and studied the Einstein equation with a cosmological constant in it. Finally, we demonstrated that, on a conformally flat, perfectly fluid Kaehler space-time manifold, the velocity vector field is infinitesimally spatially isotropic. Ideal fluid dilution to the point where only Ricci and minimal symmetry hold. We have proven that Kaehler space-time manifolds have either 0 scalar curvature or a connection between the respective rho and alpha vector fields via g(rho,alpha) = 4. To conclude, we have proved that a Kaehler space-time manifold cannot have both perfect fluidity and non-zero scalar curvature (weak Ricci symmetry).
Factors Leading to Sport Injuries in the Lebanese Premier League Players: A Cross-Sectional Study
Authors:   PT, Private Center of Physical Therapy, Beirut, Lebanon., Moustafa Shaib , Ali Shokeir ,   PT, Private Center of Physical Therapy, Beirut, Lebanon., Khalil Takkoush ,   PT, Private Center of Physical Therapy, Beirut, Lebanon., Jad Bannout ,   PT, Private Center of Physical Therapy, Beirut, Lebanon., Zeinab Jaafar ,   PT, MS, DPT, Beirut Center for Physical Therapy, Beirut, Lebanon., Khodor Haidar Hassan ,   MD, PhD, Lebanese University, Hadath, Beirut, Faculty of Public Health., eddine Hassane Kheir ,   PT, MS, DPT, Bloomy Physical Therapy and Wellness Center, Baghdad, Iraq.
Published: November 2022

Background: Soccer is the most popular sport worldwide, and soccer-related injuries are very common, they have a substantial impact on individual’s financial and economic costs, as well as its effect on the national and international health quality. Objective: To increase the awareness about the factors that lead to sport injuries for the Lebanese Premier League Football. Method: A cross sectional study, consists of, 72 Players that have been enrolled and filled a survey after getting access from the Lebanese Football Association. These surveys have been categorized as (Demographics, Players’ lifestyle, Professional career, and Previous medical history). Result: 30.56% of Lebanese players work alongside playing football. Moreover, the majority of players switch shoes twice per season only. Furthermore 75% of the players were previously more prone to injuries, and 16.17% of the injuries were a ligamentous injury. Finally, most of the Lebanese stadiums are of artificial grass putting players at a high risk of injury. Conclusion: Different factors affect the rate of injury. Mainly, the lack of proper warming up and cooling down period.
Counterirritants and sensory profiling of pain-relieving patches
Authors:   GSK Consumer Healthcare Pte Ltd., a Haleon company, Singapore, Garg Vandana
Published: November 2022

Introduction: Musculoskeletal pain is a common medical and socioeconomic problem worldwide. Treatment and management options most commonly include analgesics such as paracetamol, nonsteroidal anti-inflammatory drugs (NSAIDs), and topical over-the-counter (OTC) preparations. Patients often use OTC topical analgesics owing to the benefits shown by clinical studies for the treatment and management of musculoskeletal injuries and disorders. The aim of this study was (1) to review the background, current understanding, and therapeutic usefulness of topical counterirritants for the management of musculoskeletal pain (2) and to evaluate the sensorial characteristics of two prototype patches containing counterirritants, designed to manage pain relief by delivering a warming or cooling sensation. Methods: Detailed literature search was conducted in PubMed, Google Scholar, and Cochrane Library databases for this review. An expert sensory panel study comprising of ten trained sensory experts was conducted to evaluate the performance of prototype patches containing counterirritants for their sensory characteristics including overall sensation, cooling, warming, and tingling sensations, as well as functional parameters such as ease of application and removal, adhesive property, odor intensity, staining on clothes, residue or greasiness, and sweat/moistness on the skin after removal. Results: Topical analgesics containing counterirritants like capsaicin, menthol, and salicylates produce analgesia by activating and then desensitizing epidermal nociceptors. Literature searches provide evidence for their use in the management of musculoskeletal pain. The expert sensory panel study showed that the sensations elicited by the prototype counterirritant patches were predominantly cooling, tingling, and low and short warming in nature, with strong adhesion, ease of application and removal, no staining, little to no residue and grease on the skin, and low lingering odor of menthol. Conclusion: Literature search supports the use of counterirritants in the treatment of musculoskeletal pain like backache, strains, and sprains. In addition, the observations from the expert sensory panel study evaluating sensory and functional parameters of counterirritant patches showed that these patches provide predominantly cooling, tingling and low short lasting warming sensations with strong adhesion, no stain and little to no residue and grease. These results support their potential as a treatment modality with increased consumer acceptance, potentially increasing treatment adherence and maximizing the effectiveness of therapies. And may be used as part of multimodal pain treatment regimens for musculoskeletal conditions.
Psychosociological Study of Diabetes : Representation of the Disease, Level of Compliance with Treatment and Medical Management of Patients at the INSP in Adjamé (Côte d’Ivoire)
Authors:   Psychology, University Felix Houphoët-Boigny Abidjan (Côte d’Ivoire), N'DRI Yao Eugène , N'GORAN Rachelle Akissi , OUATTARA Annette ,   Sociology, University Nangui Abrogoua Abidjan (Côte d’Ivoire)
Published: November 2022

Diabetes is a chronic disease that constitutes a public health problem in Côte d'Ivoire. Its medical management is experiencing difficulties despite the sustained efforts of doctors and health personnel. In order to find answers to these difficulties, a psychosociological study relating the representation of the disease, the level of compliance with treatment and medical management was carried out among diabetic patients at the INSP of Adjamé. A sample of 131 adult patients, aged 30 to 73 years, with more than 2 years of disease experience was selected. These participants had an irrational representation (68) and a rational representation (63) of diabetes and were administered a battery of questionnaires on the representation of diabetes, treatment compliance and medical management. The results show that the representation of diabetes significantly influences the level of compliance with treatment and medical management. These results, which confirm the hypotheses put forward and are in line with previous
Mathematics Education among Higher Education Students: Analysis using Structural Equation Modelling and Confirmatory Factor Analysis
Authors:   University of Technology & Applied Sciences, Shinas, Oman, Al Jabri Amina , Gangadharan Shija ,   University of Technology & Applied Sciences, Shinas, Oman, Bendanillo Glorigem ,   University of Technology and Applied Sciences, Shinas, Oman
Published: November 2022

Purpose: The objectives of the study were to study the ‘student-related’ dimensions impacting the students studying Basic Mathematics at the Colleges of Technology (COT) in Oman and to analyze and determine the intervention programs and strategies in reducing the student dismissal rate in all the Colleges of Technology in Oman. Design/methodology/approach: The study was a diagnostic study, and the approach was a comparative analysis. Self-administered survey forms were used. The targeted populations of this study were the students of Colleges of Technology, who will fill out the survey forms for the quality audit. A systematic sampling of the students, males, and females, from different colleges, was carried out. To analyze data, the mean, standard deviations, and factor analysis were used. Findings: The findings of this study show the significance of study habits which was one of the crucial criteria set for the educational purpose that should be developed from a younger age. The significance was established through the SEM and the goodness of fit indexes of CFA. Furthermore, of the four student-related dimensions, study habits have a strong influence on achievement in Basic Mathematics, and are followed by interest, language, and perception. Research limitations/implications: The comparative study of the factors from the point of view of students, is reliable to show the significance of testing. This research was limited to the Omani population who were related to COT. Social Implications: This study would help the authorities and stakeholders to facilitate new initiatives to achieve a higher rate of students moving into higher education in the Sultanate of Oman. The outcomes of this research would improve the new design of the education system to fulfil the visions of the nation. Originality / Value: There was no such study that relates the academic performance of the students studying at the College of Technology in the Sultanate of Oman to the dismissal rate/ expulsion rate. This is the first-ever project which investigates the factors that affect the future education of Omani students from the student’s point of view. Keywords: Structural Equation Modelling; Confirmatory Factor Analysis; College of Technology in Oman, Study habits of the students, Interest and the language of the students.