bluuebunny/crossref_metadata_2025 huggingface dataset:
A chaos-based adaptive equilibrium optimizer algorithm for solving global optimization problems
Authors: Liu Yuting , Ding Hongwei , Wang Zongshan , Jin Gushen , Li Bo , Yang Zhijun , Dhiman Gaurav
Published: September 2023

The equilibrium optimizer (EO) algorithm is a newly developed physics-based optimization algorithm, which inspired by a mixed dynamic mass balance equation on a controlled fixed volume. The EO algorithm has a number of strengths, such as simple structure, easy implementation, few parameters and its effectiveness has been demonstrated on numerical optimization problems. However, the canonical EO still presents some drawbacks, such as poor balance between exploration and exploitation operation, tendency to get stuck in local optima and low convergence accuracy. To tackle these limitations, this paper proposes a new EO-based approach with an adaptive gbest-guided search mechanism and a chaos mechanism (called a chaos-based adaptive equilibrium optimizer algorithm (ACEO)). Firstly, an adaptive gbest-guided mechanism is injected to enrich the population diversity and expand the search range. Next, the chaos mechanism is incorporated to enable the algorithm to escape from the local optima. The effectiveness of the developed ACEO is demonstrated on 23 classical benchmark functions, and compared with the canonical EO, EO variants and other frontier metaheuristic approaches. The experimental results reveal that the developed ACEO method remarkably outperforms the canonical EO and other competitors. In addition, ACEO is implemented to solve a mobile robot path planning (MRPP) task, and compared with other typical metaheuristic techniques. The comparison indicates that ACEO beats its competitors, and the ACEO algorithm can provide high-quality feasible solutions for MRPP.
El antígrafo castellano de la Fazienda de Ultramar
Authors: Arbesú Fernández David
Published: September 2023

Uno de los múltiples problemas que plantea la Fazienda de Ultramar (ca. 1210-1235) es la dificultad de distinguir entre su fase genética y su transmisión textual, sin que hasta ahora se haya podido averiguar si la traducción y ensamblaje de las dos partes que componen la obra (Biblia hebrea e itinerario de Tierra Santa) se produjo en el momento de copiar el único testimonio conservado (ms. BU Salamanca 1997) o si, por el contrario, dichos procesos ya se habían llevado a cabo en una etapa anterior. La evidencia codicológica y textual analizada en este artículo demuestra que la Fazienda es, en efecto, copia fiel de un modelo en el que ambos textos ya habían sido traducidos y ensamblados, y que la mayoría de errores de copia que achacamos a los copistas del testimonio salmantino muy probablemente estaban ya en su antígrafo.
El relato de Adán y Eva en la General Estoria: entre fuentes latinas y árabes y traducciones gallego-portuguesas
Authors: Porcel Bueno David
Published: September 2023

Este trabajo aborda el estudio de las fuentes del relato de Adán y Eva que se nos ha transmitido inserto en el capítulo IV (y en parte de los capítulos III y V) de la primera parte de la General Estoria (s. XIII) de Alfonso X el Sabio. Al margen de las fuentes conocidas por los especialistas, se han identificado dos nuevas (una latina y otra árabe) que fueron utilizadas por los colaboradores alfonsíes en la redacción de ciertos pasajes de naturaleza extrabíblica. Por otro lado, la versión castellana se contrasta con las traducciones gallegas y portuguesas que se llevaron a cabo en los siglos XIV y XV. Algunos elementos de la historia de Adán y Eva que aparecen en la crónica alfonsí se contextualizan también con algunos de los testimonios más influyentes del ciclo apócrifo de Adán.
El corpus de glosas vernáculas (le‘azim) en los comentarios de Ya‘ăqoḇ al-Ŷieni (s. XIV)
Authors: Alfonso Esperanza
Published: September 2023

El término hebreo la‘az aparece en textos hebreos medievales para designar, de forma general, cualquier lengua distinta del hebreo, y de manera más específica, las varias lenguas vernáculas europeas. En relación con esta segunda acepción, más restringida, los le‘azim (pl. de la‘az) representan breves notas en lengua vernácula, que explican palabras y locuciones hebreas, y aparecen entre las líneas, en los márgenes o intercaladas en el propio texto. Aunque se encuentran también en otro tipo de obras, son especialmente comunes en códices bíblicos, estudios gramaticales, glosarios y comentarios, obras todas relacionadas con el aprendizaje y estudio de la Biblia. Se conoce la existencia de le‘azim en antiguo francés, occitano, catalán, castellano, y otros romances neo-latinos. Especialistas en historia de la traducción y romanistas coinciden en señalar su extraordinario valor, tanto para el estudio de la traducción bíblica, como para el de la lingüística romance. Los le‘azim en antiguo francés, sobre todo los incluidos en los comentarios bíblicos y talmúdicos del exegeta francés del siglo XI Šelomoh ben Yiṣḥaq (Rashi), que destacan por su antigüedad y elevado número, son probablemente los mejor conocidos. Otros, como los occitanos y los castellanos, han sido objeto de estudio en los últimos años. Este artículo presenta y analiza los más de cincuenta le‘azim en lengua vernácula, y otras observaciones sobre el uso de la lengua hebrea en comparación con el romance (y frecuentemente con el árabe), incluidos en los comentarios bíblicos de Ya‘ăqoḇ al-Ŷieni (siglo XIV), autor poco estudiado, sobre el que existe muy escasa información al margen de la que proporcionan sus obras. A partir de este pequeño corpus, el estudio pretende explorar un fenómeno desatendido en la historia de la traducción de la Biblia hebrea al castellano.
Análisis geológico multidisciplinar de la Unidad Arenas de Trigueros (Formación Arcillas de Gibraleón, S.O. de España)
Authors: Romero Verónica , Toscano Antonio , Ruiz Francisco , González-Regalado María Luz , Abad Manuel , Izquierdo Tatiana , Rodríguez Vidal Joaquín , Cáceres Luis Miguel , Marques Rosa , Prudencio Maria Isabel , Dias María Isabel , Russo Dulce , Gómez Paula
Published: September 2023

Este trabajo define las principales características sedimentológicas, paleontológicas y geoquímicas de la Unidad Arenas de Trigueros, depositada durante el Messiniense en un contexto global de bajada de nivel del mar. Esta unidad se diferencia del resto de la Formación Arcillas de Gibraleón por su mayor tamaño de grano, la presencia de niveles tempestíticos formados por bivalvos típicos de medios circalitorales, una asociación de ostrácodos propia de medios infralitorales en su tramo superior arenoso y unos menores contenidos en elementos trazas y tierras raras. En su conjunto, estas características identificarían un depósito de turbiditas en un medio circalitoral de baja energía, cuyo fondo sufrió episodios erosivos y donde concurrieron también sedimentos transportados desde medios neríticos someros, dentro de una zona distal de aparatos deltaicos.
La Vidriera Hipercúbica imaginada por Salvador Dalí diseñada por Emilio Pérez Piñero. El Prototipo Digital
Authors: Peña Martino , Wirfler Katja , Andres López Sebastian , Reißaus Henrik , Weimar Thorsten
Published: September 2023

Se presenta una reinterpretación de la Vidriera Hipercúbica pensada por Dalí para cerrar la embocadura del Museo Salvador Dalí en el antiguo Teatro de Figueres. El proyecto es realizado por el arquitecto murciano Emilio Pérez Piñero logrando unificar la piel y el esqueleto en un único sistema desplegable. A través de las patentes que protegen la obra de Piñero se realiza un prototipo durante un seminario con estudiantes en la escuela de arquitectura de la Universidad de Siegen en Alemania. El modelo es una reinterpretación del artefacto original utilizando la fabricación digital para su realización; cortadora laser e impresora 3D. Este prototipo digital es presentado finalmente en la Feria Internacional Glasstec de la industria del vidrio y cristal que se celebra en Dusseldorf en septiembre de 2022. La experiencia adquirida durante el seminario facilita la comprobación de la validez de la geometría y sistema desplegable utilizados para la reinterpretación y fabricación del modelo propuesto.
“No Anthem Linked to Russia”: Tchaikovsky’s Piano Concerto No. 1 at the Olympic Games
Authors: Leson Lena
Published: September 2023

At the 2020 Summer Games in Tokyo and again at the 2022 Winter Games in Beijing, Russian athletes taking home Olympic gold heard Tchaikovsky’s Piano Concerto No. 1 in B-Flat Minor, Op. 23 in place of their national anthem. The prohibition of Russia’s anthem, along with the nation’s flag and other state symbols at international sporting events, was the result of an investigation into Russia’s state-run doping program. Although this restriction was heavily debated on social media outlets during the Games, the choice of Tchaikovsky’s beloved concerto was widely accepted as a symbol of the Russian state. The “Russianness” of Tchaikovsky’s concerto, however, is capacious and complex. In this article, I examine the Russian state’s appropriation of Tchaikovsky’s concerto not only as a nationalist musical motif, but as an irredentist anthem reflecting President Vladimir Putin’s intention to restore Russia’s “historic frontiers.” In addition to analyzing how the work was deployed before, during, and after the 2020 and 2022 Games, the article explores the composition’s appearance in contemporary Russian internet culture, including in a popular mashup of the concerto with Queen’s anthem “We Will Rock You.” Arguing that these examples offer musical evidence for the political rhetoric that insists Ukraine is rightfully a part of Russia, this article illustrates the ways that musical nationalism has proven malleable and been (mis)used in the Russo-Ukrainian War.
Le sanctuaire romain du Vigneau à Pussigny (Indre-et-Loire) : un lieu de mémoire, de vie et d’accueil
Authors: Coutelas Arnaud , Lepetz Sébastien
Published: September 2023

Une opération d’archéologie préventive s’est déroulée en 2012 au lieu-dit le Vigneau (commune de Pussigny, Indre-et-Loire), sur le tracé de la ligne à grande vitesse Tours-Bordeaux. Les occupations s’étagent le long d’un versant exposé plein ouest. La partie haute est marquée par des aires funéraires : une première attribuée au Néolithique moyen, une deuxième imbriquée dans la première datée de l’âge du Bronze final, et deux enclos de La Tène ancienne. La partie basse comporte quatre souterrains médiévaux aménagés. Entre les deux, l’occupation antique se développe sur deux secteurs reliés par une voie. En haut de pente se trouve un temple de plan centré cerné par une enceinte avec, côté ouest, un double portique, tandis que la zone en contrebas, 70 m plus à l’ouest, accueille un ensemble dense de bâtiments sur poteaux ou maçonnés qui se sont développés dans les mêmes temps que le temple et avec les mêmes orientations. Il pourrait s’agir d’une forme d’habitat rural groupé partiellement dévolu à la gestion du temple et à l’accueil des fidèles. Le sanctuaire, implanté à l’époque augustéenne à l’extrême limite des nécropoles, témoigne quant à lui des liens de la communauté avec son passé.
A Major Transition in the Evolution of Human Cooperation Since the Emergence of Agriculture
Authors: Pansini Riccardo
Published: September 2023

The chapter describes how the switch toward a decentralisation of data storage can potentially advance the human economy and society to a new, unprecedented level as not seen since the origin of agriculture. Starting from the inception of the internet, its related I.T. developments are recalled going from a truly open and collaborative circumscribed network to the gradual establishment of new network nodes. During this time, I.T. corporations have profited greatly becoming larger and larger and making the internet much more centralised. However, thanks to the blockchains, there is now the possibility to go partly back to a more “liberal” state of the networks in which more weight is given back to minor network nodes. In this manner, human cooperation would increase enormously.
Blockchain Implementation in Food Retail Supply Chain Management
Authors: Presa Ana , Correia Beatriz , Melo Beatriz , Martins Diana , Vieira Margarida , Azenha Ricardo , Barbosa Belem
Published: September 2023

Blockchain technology is expected to play a pivotal role in innovation across various sectors in the near future, facilitating long-term and sustainable growth for businesses and the economy. The food retail sector, in particular, can greatly benefit from blockchain technology, as food safety remains a top priority for stakeholders, particularly consumers. This chapter examines the advantages of blockchain technology in the food retail sector and presents a case study of a Portuguese food retail corporation. The case study explores whether the company should expedite the adoption of blockchain technology in its supply chain management. The conclusions drawn from this study help managers in making informed decisions regarding future strategy implementation, intending to enhance supply chain efficiency, safety, and transparency. Furthermore, these findings will provide valuable insights for other players in the food retail sector grappling with similar challenges.
Impact and Use of Blockchain Technologies in Organizations
Authors: Kumar A. V. Senthil , Malavika B. , Manjunatha Rao L. , Praveen Sundar P. V. , Vanishree G. , Abdullah Hesham Mohammed Ali , Musirin Ismail Bin , Dutta Amit
Published: September 2023

Blockchain consists of emerging technologies such as IT infrastructure, cloud computing, security, peer-to-peer network, and cryptographic keys. The major objective of the chapter is to demystify the technologies which are supporting the blockchain applications. The IT infrastructure enhances the blockchains by coordinating and maintaining the infrastructure to work on the security and cloud storage. The blockchain can be termed as a concept which is more secure among the relevant technologies. But still there exists the chance of an attack. The security is often implemented in the network of blockchain. This security prevents the risk of cyber-attacks and fraud practices in the network. Peer-to-peer is known as a type of computer network which is frequency implemented for the digital media file distribution. In this peer-to-peer network each node would be acting as a server as well as a client by receiving and supplying the files.
Emerging Blockchain Applications in Mobility
Authors: Zehir Cemal , Zehir Melike
Published: September 2023

Blockchain is one of the major technologies that are expected to disruptively change the entire mobility ecosystem. Through blockchain's synergies with artificial intelligence, services, internet of things (IoT), and connectivity, smart and connected mobility services are going to be enabled for the better. More environment friendly, safer, and affordable solutions are emerging, transforming mobility from sole vehicle ownership and related centralized data platforms to a multi-trillion-dollar novel applications ecosystem in a distributed environment with reliable identity and immutable time-stamped records. There is no single solution that can fit diverse areas of implementation with different needs. Moreover, blockchain solutions bring together a number of risks based on the implementation type. This chapter identifies the suitable blockchain types specific to potential use cases in the transforming mobility ecosystem. In addition to preferable blockchain types and consensus mechanisms based on application needs, related risks are discussed in detail.
An Efficient Feature Selection in Classifying Diabetes Mellitus
Authors: Christodoss Prasanna Ranjith , Natarajan Rajesh , Mohideen Syed Khaja , Selwyn Justus , Anandapriya B.
Published: September 2023

Machine learning (ML) is one of the most popular fields in medical research. Correct identification of the presence of diabetes is essential for providing efficient treatment. Numerous machine learning models were developed to predict diabetes. However, many ML models suffer from misclassification due to a lack of proper feature selection methods. How to select the best features is still a significant problem in the classification domain. To address the problem, an ensemble-based feature selection is proposed. The proposed feature selection is then evaluated in five machine learning models. The experimental results show that the proposed feature selection is 36% more efficient than existing feature selection methods.
A Novel Long Short-Term Memory Method for Model for Stock Price Prediction
Authors: Archana K. S. , Sivakumar B. , Ebenezer Abishek B. , Taj Shaik Ghouhar , Kavitha Reddy V. , Vijayalakshmi A.
Published: September 2023

In the current scenario, one of the recent research works is stock prediction in the future using machine learning techniques. Today, the stock market is one of the greatest investments to retail their current shares to get profit. This necessity forces everyone to turn back to predict the future stock price market using the efficient techniques in machine learning. However, the latest market analysis and prediction is one of the most complicated tasks to decide the value. This article proposed stock price prediction using an improved algorithm in machine learning. Machine learning uses different types of models to identify the prediction easier and accurately. This chapter presents the use of LSTM based machine learning to predict stocks and factors considered are date, time, closing price and opening price of the stocks. Finally, this machine learning model was trained with numerous data, and the results were compared with existing algorithms. These performance results show the maximum prediction accuracies of 92.10% and 84.10% were attained using improved LSTM model.
A Sophisticated Image Filtering and Enhancement Method With Worn Speculative Segmentation Process
Authors: Nainan Thangarasu , Muniappan Ramaraj , Vijayalakshmi V. , Rajalakshmi R. , Dhandapani Sabareeswaran , Muthaiyan Murugadass
Published: September 2023

Image mining is tantamount to data mining concept. It is most imperative to understand the data mining concept to the prior knowledge of image mining. Data mining is an assemblage of methods that are used to automated approach to exhaustively explore and create associations in very large datasets. Image mining process is an analyzing large set of domain-specific data and consequently extracting information and knowledge in a form of new relationships, patterns, or clusters for the decision-making process. This research article mainly focuses on color pixel-based image segmentation to infer the age of the tiger and also applied several reasonable and applicable filters, enhancement processes in the speculative real-time images. The objective of the research work is to be done on assessing the age of the tiger using the color pixel based image classification and clustering is the main of the research work. To optimization of reduce the processing Time, Retrieval Time, Accuracy and Error Rate by generating the better results is to real time tiger image database.
MRI High Dimensional Data and Statistical Analysis on Spinal Cord Injury Detection
Authors: Uday Kiran K. , Kalpana Ella , Nair Prabha Shreeraj , Ahammad S. K. Hasane , Saikumar K.
Published: September 2023

The MRI spinal cord image-based injury detection is very complex in the current world. In this research, an advanced deep learning-based spinal injury detection algorithm has been proposed. The segmentation was performed with the Otsu technique. The feature extraction and training were performed with shape-based intensity parameters of nothing but standard deviation, variance, mean, and kurtosis. The testing can be possible with ResNet CNN technology. The classification has been performed through 167 layers of architecture. Finally, with confusion matrix accuracy of 98.43%, Recall97.34%, F 1 measure of 95.23%, and throughput of 96.76%.
GanglioNav WithYou
Authors: Sherimon Vinu , Cherian Sherimon Puliprathu , Nair Rahul V. , Shaikh Khalid , Mathew Natasha Renchi
Published: September 2023

Alzheimer's disease is a universal medical challenge. A timely identification of this ailment can reduce expenses and enhance the patient's quality of life. Alzheimer's diagnosis includes a critical component called cognitive assessment. These examinations have been carried out by neurologists, utilizing paper-and-pencil ever since the development of neurological tests. But it's obvious that integrating digital technologies into such assessments has many advantages. This chapter describes the design of an Android application, GanglioNav WithYou, for conducting cognitive assessments in Alzheimer's patients. The researchers have built a 3D virtual neurologist to conduct this assessment for Alzheimer patients. The virtual neurologist will ask questions that test the different mental abilities of patients such as time orientation, ability to recall things, concentration skills, language skills, visual interpretation skills, etc. At the end of the assessment, the total score is calculated, and the virtual neurologist will generate a detailed assessment report.
Does Financial Globalization Have a Benign or Malignant Effect on Development and Growth?
Authors: Taşdemir Fatma
Published: September 2023

Globalization with trade and financial linkages is beneficial for countries, as indicated by theory. The literature often finds that these are less clear for financial globalization. This chapter examines the association amongst financial globalization, growth, sectoral value added, and employment in emerging market and developing economies. Accordingly, financial globalization tends to lower growth, based on the main descriptive analysis. Financial globalization encourages industrialization in Asian economies while it leads to de-industrialization in African and Latin American countries. The services sector is positively associated with financial globalization in all regional country groupings. The analysis in this chapter indicates that financial globalization directs the allocation of resources across and within sectors. A strategic and systematic industrial policy that channels selective foreign savings into the finance of critical industrial projects also contributes to Sustainable Development Goals by minimizing the side effects of financial globalization.
Unleashing the Power of AI
Authors: Hooda Jayant , Singh Vinita , Irfan Mohammad , Hawaldar Iqbal Thonse
Published: September 2023

This conceptual chapter delves into the world of robo advisory, a disruptive technological innovation in modern finance that combines artificial intelligence (AI) and automation to deliver financial advisory services. The chapter explores the key components of robo advisory systems, including algorithmic trading, portfolio construction, risk management, and client profiling. Furthermore, it examines the advantages and challenges associated with robo advisory, such as cost-effectiveness, accessibility, regulatory considerations, and the human-machine interaction paradigm. The study concludes by discussing the potential implications of robo advisory for investors, financial institutions, and the broader financial ecosystem.
Adoption of Blockchain as a Solution Strategy for Financial Inclusion
Authors: Sharma Hari Prapan , Jain Mini , Anuforo Peter U.
Published: September 2023

Reviewing the research on ‘financial inclusion,' ‘adoption,' and ‘blockchain in India,' the authors of this chapter find that addressing financial exclusion necessitates overcoming four obstacles: limited geographical accessibility, poor banking products, exorbitant charges, and a lack of financial literacy. Blockchain technology can solve the majority of these problems. The authors have planned a research agenda on implementation experience, agreement patterns, and approved outcomes to help direct the development of this understanding. Finding the answers to these study questions would help us understand how blockchain-based technology is being adopted in rural India differently. This study makes a practical contribution by discussing how blockchain might diminish the problem of financial exclusion in rural India and create a global network system that could link rural India. The authors tried to reveal the gaps in knowledge that need to be filled in order for rural Indians to be financially included constitutes the theoretical contribution.
Revolutionizing Islamic Finance
Authors: Kismawadi Early Ridho , Irfan Mohammad , Shah Syed Muhammad Abdul Rehman
Published: September 2023

This study examines the opportunities and challenges presented by the incorporation of artificial intelligence (AI) technology into the Islamic finance industry. In terms of research methods, literature review and conceptual analysis are employed. The results indicate that the incorporation of AI technology into Islamic finance and presents both significant opportunities and obstacles that must be surmounted. Among these obstacles are adherence to Islamic law, ethical concerns, risk mitigation, and the possibility of bias in decision-making. The contribution of this study is to cover a gap in the literature regarding the incorporation of AI technology in Islamic finance and to provide practitioners, policymakers, and academics with valuable insights. The findings of this study could aid them in investigating the potential of AI technology in Islamic finance and formulating solutions to overcome the obstacles associated with AI adoption. In addition, this research has the potential to contribute to a larger body of literature on the general application of AI in finance.
Opportunities and Challenges of AI/ML in Finance
Authors: Komal  , Singh Kavita , Hasan Mahadi , Rajendran Ragu Prasadh
Published: September 2023

The financial sector's rapid adoption of artificial intelligence (AI) and machine learning (ML) is examined in this chapter. It highlights the benefits of these technologies in terms of financial depth and efficiency, while also raising concerns about their potential to widen the digital divide between rich and developing nations. The chapter contributes to the topic of the impact of this technology by distilling and categorizing the distinct threats it may offer to the integrity and stability of the financial system, as well as policy issues & viable regulatory approaches. Because of the dynamic nature of this technology and its application in finance, its strengths and drawbacks remain unknown. In light of the possibility of unforeseen hazards, nations will need to strengthen prudential oversight.
Benefits of Digital-Only Financial Inclusion
Authors: Obiora Kingsley , Ozili Peterson K.
Published: September 2023

Many countries are using digital tools and technologies to advance financial inclusion to improve the well-being of households and communities. There is growing interest in using only digital tools to advance financial inclusion. A term used to describe this is digital-only financial inclusion. This chapter identifies the benefits of digital-only financial inclusion. The benefits include convenience, ensuring digital access to additional financial services, generating useful data to improve customers' welfare, increased safety, enabling the democratisation of financial services, improving social welfare and economic growth, reaching the poorest in remote areas, and increasing digital literacy. Policymakers and financial sector agents who are promoting, or attempting to adopt, digital-only financial inclusion strategies should be aware of the benefits while being mindful of the associated risks.
Sentic-Emotion Classifier on eWallet Reviews
Authors: Lim Tong Ming , Khor Yuen Kei , Tan Chi Wee
Published: September 2023

Emotion classification using hybrid framework using lexicon and machine learning algorithms have been proven to be more accurate. This research analyses emotions from reviews of a popular eWallet mobile application in Malaysia. The proposed Sentic-Emotion Classifier is evaluated on its performance as it analyses the code-switched reviews crawled that contain formal and informal or out-of-vocab words. The code-switched reviews are mainly made up of words and expressions in English and Malay language models. This research designs, implements, and investigates several novel techniques that have been shown to have reliable and consistent predictive outcomes, and these outcomes are validated with manually annotated reviews so that the proposed classifier can be evaluated objectively. The novel contributions of the Sentic-Emotion Classifier consist of 2-tier sentiment classification, extended emolex framework, and multi-layer discrete emotion hierarchical classes which is hypothesized to be able to yield better accuracy for emotion and intensity prediction for the proposed framework.
Uma análise das leis 10.639/2003 e 11.645/2008 por meio dos projetos políticos pedagógicos das escolas municipais de Uberlândia/MG
Authors: Santos Janaina Jácome dos , França Robson Luiz de , Borges Netto Mario , Lucena Carlos , Santos Adriana Cristina Omena dos
Published: September 2023

O artigo tem por objetivo analisar os Projetos Políticos Pedagógicos (PPP) das instituições de ensino municipais da cidade Uberlândia, entre os anos de 2012 e 2016. Neste sentido, busca identificar e refletir sobre como as escolas municipais estavam trabalhando as temáticas vinculadas ao ensino de História e Cultura Afro-Brasileira e Indígena, obedecendo as leis 10.639 (Brasil, 2003) e 11.645 (Brasil, 2008). Parte dos conceitos das políticas públicas com caráter afirmativo, tendo como propósito garantir o direito à diferença, aqui entendida como valorização, (re)conhecimento de tradições, história e cultura destes povos. Trata-se de pesquisa de viés exploratório, identificando os PPPs, analisando seus conteúdos e refletindo sobre a organização escolar por meio do projeto pedagógico da escola. Como aporte teórico, necessário ao debate, trazemos as reflexões de Munanga (2009), Marinho, Bastos, Longo e Tavares (2019), Gomes (2012), Santos e Angatú (2015), dentre outros. Como resultados, evidencia a necessidade de repensar cotidianamente o Projeto Político Pedagógico escolar, buscando sempre aparar as arestas e propondo ações inovadoras que possam melhorar a qualidade do ensino nacional. A partir deste movimento teremos uma sociedade consciente dos seus direitos e deveres.
A recepção de Gramsci em José Aricó e Carlos Nelson Coutinho
Authors: Oliveira Marcus Vinícius Furtado da Silva
Published: September 2023

Desde suas primeiras publicações na Itália do segundo pós-guerra, as obras do intelectual e político italiano Antonio Gramsci suscitaram intensas discussões. Isso ocorre, para além do caráter fragmentado de seus trabalhos, em virtude da dimensão política característica de seu processo de edição e recepção. Diante disso, o presente artigo objetiva compreender a recepção de Gramsci na América Latina entre os anos 1960 e 1990 a partir das intervenções intelectuais do argentino José Maria Aricó e do brasileiro Carlos Nelson Coutinho. A partir da análise dos autores pretendemos demonstrar como o pensamento de Gramsci é mobilizado e recriado a partir de determinadas intencionalidades políticas.
A interpretação metapsicológica do fascismo na abordagem freudo-adorniana
Authors: Santos Bryan Menger dos , Damico Jose Geraldo Soares
Published: September 2023

Nos rumos desse artigo, aborda-se como objetivo central a compreensão do discurso fascista através da abordagem freudo-adorniana. Para tal, toma-se como base a alegoria mito-política presente em ‘Totem e tabu’ (Freud, 1990) e nos demais escritos freudianos como ferramenta de ilustração da natureza libidinal que organiza os vínculos sociais modernos. A adesão social aos signos tanáticos do fascismo é compreendida com base no viés das latências fantasmáticas que se inserem no corpo político, instigando ligações objetais de assujeitamento a um poder soberano análogo aos estabelecidos no regime da horda primeva. A imortalidade do pai que subsiste enquanto instância latente, o sentimento de culpa pelo parricídio coletivo e a consequente dívida simbólica paga através da moeda libidinal são apresentados como balizadores centrais na economia sexual do fascismo, com o propósito de restabelecer um tempo primeiro da organização social cunhada na barbárie e no masoquismo primordial em relação a um pai real.
Investigating the Effects of Biaxial Strain on the Electronic, Optical and Thermoelectric Properties of the Puckered Si2SeTe Monolayer
Authors: Rghioui Hamza , Marjaoui Adil , Tamerd Mohamed Ait , Zanouni Mohamed
Published: September 2023

In this paper, we have investigated the electronic, optical and thermoelectric properties of the puckered Si2SeTe monolayer when subjected to various levels of biaxial strain ranging from −10% to +10%. The structural stability, as determined by the cohesive energy, shows that the puckered Si2SeTe structure is energetically stable. The results reveal that the unstrained Si2SeTe monolayer is an indirect band gap semiconductor with an energy gap of 0.5 eV, which can be effectively adjusted with biaxial strain. The semiconductor–metal phase transition occurs when the monolayer is compressed by −4% biaxial strain. Moreover, the optical properties, including the real ε1(ω) and imaginary ε2(ω) components of the dielectric function, extinction coefficient K(ω), reflectivity R(ω), refractive index n (ω), and absorption coefficient α (ω), were evaluated as a function of the energy of light and under biaxial strain. We discovered that the puckered Si2SeTe monolayer is capable of absorbing light in the visible region of 64.7×104 cm−1, 73.8×104 cm−1 for equilibrium state and under the compression strain (−8%), respectively. Lastly, the influence of biaxial strain on thermoelectric properties such as electrical conductivity (σ/τ), electronic thermal conductivity (ke/τ), Seebeck coefficients, and electronic figure of merit (ZTe) was studied. The calculated electronic figure of merit ZTe presents an improvement in the p-type doping (μ<0) under the tensile biaxial strain. Taking into account the optical and thermoelectric properties, the puckered Si2SeTe monolayer is a promising material for use in optoelectronic devices and energy conversion technologies.
Photocatalytic Degradation of Orange II by Active Layers of Ag-Doped CuO Deposited by Spin-Coating Method
Authors: Madiha Zerouali , Radouane Daira , Bouras Dhikra , Boudjema Bouzid , Barille Regis
Published: September 2023

In this work we studied the effect of doping on heterogeneous photocatalysis application we used the samples CuO, 5% Ag:CuO, 15% Ag:CuO, 25% Ag:CuO and 50% Ag:CuO catalysts thin layers which were prepared by the sol gel method on a glass substrate. The structural, morphological, optical and electrical characteristics of these layers were studied by XRD, IR, SEM, UV-Vis spectrophotometry and four-point analysis. The results of the XRD, it is observed that the structure of the monoclinic phase develops, with preferential orientations following the plane (-111). This indicated that the thin films are polycrystalline, these results and confirmed by the IR spectra. In the case of Ag doping the SEM revealed the creation of pores on the surface of the samples, which enhanced the degradation of orange II under UV light. The gap energy decreases from 2.17 eV to 1.25 eV with increasing doping. These results show that thin films doped with Ag exhibit a higher degradation than that obtained by pure CuO. After 5 hours in the case of doping with 50% Ag the percentage of degradation is 43%, on the other hand in the pure case the percentage of degradation is 27%.With this, it can be said that 50% Ag:CuO is a good catalyst because the sample has pores, and therefore a larger catalytic area. Creating pores on the surface of the samples, obtaining a less energy gap enables the creation of a greater number of •Oand OH• that works to disintegrate the dye and give the white color to the solution.
Folk Poems and Songs to Empower Human Resources Engaged in Sri Lankan Paddy Farming: An Empirical Study
Authors: Mahaliyanarachchi R. P. , Panapitiya S.
Published: September 2023

Purpose: Folk poetry was used to alleviate the drudgery and harshness of agricultural life. The research problem here is whether folk poetry has been used for the spiritual thinking and mental development of people engaged in agriculture since ancient times. The main objective of this study is to reveal that these poems and songs stimulated the rice farming of the farmers.Research Method: The method used for this purpose is the Ethnographic research method. In those songs, the words used and the rhythm are considered prominent for this. Folk poems and songs related to farming recorded from different places in Sri Lanka from 2000 to 2015 are used for this research. Findings: One of the major features of Sri Lankan farming was singing folk poems and songs while working in farming aiming to mitigate work stress. Those poems and songs have influenced the physical and mental wellness of the farmers. It is evident that the communication ability and mental freedom that attracts agriculture are based on the work’s utility and the song’s rhythm. Poems and Songs created by farmers are not just for entertainment. They express their efficiency and the nature of their work in those poems and songs.Research Limitations: Only the songs performed during tasks from mudding to harvesting in fields related to rice farming in Sri Lanka were investigated.Originality/value: These poems reveal the nature of the industry and the mental and creative nature of the people who work in it.
Awareness on and Compliance with the Food Act in Sri Lanka: An Analysis of the Present Status 
Authors: Kolamunna A. T. , Dissanayake C. A. K.
Published: September 2023

Purpose: In Sri Lanka, legislative regulation of food safety and hygiene issues is mainly done under the Food Act No. 26 of 1980. Proper awareness and compliance to the Food Act are necessary for food safety. This cross-sectional analysis was done to assess the present status of awareness and compliance with the prohibitions and regulations of the Food Act by stakeholders.Research Method: Litigations done by Public Health Inspectors (PHIs) from 7 districts and data from a field survey of 30 PHIs (from same districts), 50 traders and 70 consumers (from 5 districts) were collected. Findings: According to the litigations analyzed, “Food (labeling and advertising) regulation” was the highest violated regulation in Sri Lanka (p<0.05). However, “Food (Packaging materials and articles) regulation” had significantly higher ranking (p<0.05) according to the PHIs’ survey. According to the traders’ ranking, their highest and least compliance (p<0.05) were on “Packaging materials and articles” and “Bread standards” regulations respectively. Consumers’ highest and least awareness were on “Coloring agents” and “Flavoring agents” respectively and their highest and least compliances (p<0.05) were on “Adoption for standards” regulation and “Labeling and advertising” regulation respectively. Originality/Value: This study gives an overall idea about the current awareness and compliance of the stakeholders on Food Act. It is vital for future policy development.
The Effect of Light Quality and Intensity on in vitro Potato Cultures
Authors: Khalil M. M. A. , Samy M. M. , Abd El Aal A. M. H. , Hamed A. H.
Published: September 2023

Purpose: The study investigates the effect of light quality and intensity factors on in vitro potato meristem cultures and multiplication for optimization of pre-basic seed potato productions of some potato varieties.Research Method: In vitro experiments were conducted to study the response of meristems and nodal cuttings of five potato varieties, i.e., Cara, Hermes, Lady Rosetta, Santana, and Spunta, to four LED light qualities (blue, red, red+blue, or white) for five potato varities. Also, the response of nodal cuttings was examined under three light intensities (50, 75 and 100 μmol m-2 s-1).Findings: Significant differences were obtained between the four tested light qualities. Red LED gave the best meristem survival rates of the Cara, Hermes, Lady Rosetta, and Spunta potato varieties. In the multiplication phase, a significantly (p ≤ 0.05) higher plantlet length was obtained from nodal cuttings under red light quality. Also, white and red light produced vigorous plantlets, expressed as higher significant dry weight (82.2 and 80.4 mg/plantlet, respectively). Increasing light intensity from 50 to 75 and 100 μmol m-2 s-1 resulted in increases in leaf number, stem diameter, root length, leaf area, chlorophyll content, fresh weight, and dry weight.Originality/value: White LED light quality enhanced in vitro initiation of potato meristems. Furthermore, Light intensity of 75 μmol m-2 s-1 gave better performance of potato plantlets in vitro.
Apert syndrome in a Sri Lankan boy with normal head growth and without clinical features of raised intracranial pressure during infancy
Authors: Manamperi Mihira , Amarasinghe Nadunika , Harshani Thilini , Atapattu Paba , Somaratne Thilini
Published: September 2023

No abstract available
A case of neonatal I-cell disease with multiple intrauterine fractures 
Authors: Subhadarsini Santoshi , Prashanth R. R. , Mujeeb Athar Abdul , Haribalakrishna Anitha
Published: September 2023

No abstract available
Role of low dose iron intake on acute respiratory tract infection in infants: A longitudinal study
Authors: Agrawal Divyanshu , Srivastava Shetanshu
Published: September 2023

Background: Anaemia and respiratory tract infections are common problems among infants and a complex relationship exists between iron status and infection. Studies on possible role of iron supplementation to prevent respiratory tract infection in healthy infants are needed so that strategies could be made at the community level to reduce its burden. Objectives: To study the effect of iron intake on the incidence of acute respiratory infection (ARI) in healthy infants.  Method: A longitudinal study was done in 106 infants at the paediatric department of a teaching hospital, in which infants coming for routine vaccination with haemoglobin levels ≥10g/dl were divided into two groups after computer generated randomization. Group A received 2mg/kg/day of iron for 3 months and Group B received no supplementation. Episodes of respiratory tract infection were recorded. Follow up was done at 4, 8 and 12 weeks and at 6 months for new episodes of ARI. Growth was monitored. Data were analysed using Mann-Whitney U test, Chi square test and Student ‘t’ test via SPSS version 20.0. Results: After 6 months of follow up, mean haemoglobin in the iron supplemented group (12.76±0.63g/dl) was significantly higher than in the non-supplemental group (11.29±0.98g/dl) (p<0.001), when the baseline haemoglobin levels in both groups were comparable. The incidence of ARI was 66% lower in the iron supplemented group compared with the group with no supplementation (IRR=0.34, 95%CI=0.19-0.59, p=0.0001)  Conclusions: Iron supplementation in infants improves their haemoglobin status and decreases episodes of ARI in them.
Assessment of perception of oral healthcare professionals in management of medical emergencies in children: A cross-sectional study
Authors: Sahai Varunika V. , Hugar Shivayogi M. , Kohli Neha , Bhusari Bhuvanesh N. , Uppin Chaitanya , Kajave Krishna R.
Published: September 2023

Background: Medical emergency is an acute condition which can occur when least expected. It is more common to occur in a dental setup as this environment can be stressful for a patient. Children are more prone to emergencies as their dental procedures usually takes place under sedation. Therefore, it is mandatory for a dentist to have adequate knowledge, proper attitude and good training in handling any medical emergency seen in children during their dental treatment.   Objectives: To assess the perception of oral healthcare professionals in management of medical emergencies in children. Method: A cross-sectional survey comprising 270 participants was conducted on oral healthcare professionals including interns, postgraduate students, practising dentists and faculty dentists. An 18-item validated questionnaire containing four domains of professional demographic data, knowledge, attitude and practice were distributed among the participants. Descriptive analysis was used followed by Chi Square test to check for association between age, gender, educational qualification and years of experience.Results: The level of knowledge, attitude and practices was lower in graduate dentists than postgraduate dentists. The correlation between knowledge, attitude and practices was found to be highly statistically significant (p=0.001).Conclusions: The study concluded that while knowledge and attitude levels were high in the population, there is a gap in practices of the dentists to handle a medical emergency.
Effect of pupil dilation on biometry measurements and intraocular lens power calculation formula with intraocular lens master 500
Authors: Kumari Suchitra , Bandyopadhyay Antabha , Kumari Taruni
Published: September 2023

Purpose:

The purpose was to study the effect of pupil dilation on biometric measurements and intraocular lens (IOL) power calculation using IOLMaster 500.

Materials and Methods:

A prospective observational study on 52 eyes of 52 cataract patients. The patients were examined with IOL Master 500 before and after pupil dilation. Axial length (AL), corneal power, anterior chamber depth (ACD), and the corresponding IOL power with Haigis and Sanders, Retzlaff, and Kraff (theoretical formula) (SRK/T) formula were compared.

Results:

There was no statistically significant difference in AL (+0.005 mm; P = .467) and corneal power (+0.001 D; P = .889) before and after dilation. The ACD increased significantly after dilation (+0.12 ±0.35 mm; P < 0.01). IOL power calculation based on SRK/T formula (−0.02 ±0.16, P = 0.20) was not affected, whereas a significant change in the calculation was found using the Haigis formula (+0.07 ±0.54, P = 0.03).

Conclusion:

There is no clinically significant effect of pupil dilation on the IOL Master 500 measurements of AL, corneal power, and IOL power calculated using the SRK/T formula. However, a significant increase in ACD and IOL power calculation is found using the Haigis Formula.
Assessing the Feasibility of Predicting Intermediate Outcomes of Esophageal Atresia Using Okamoto Classification
Authors: Dey Santosh , Raman V. Shankar , Agarwala Sandeep , Narwar Parul
Published: September 2023

Purpose:

Several risk classifications based on various preoperative factors have been proposed to prognosticate the immediate survival of children operated for esophageal atresia. A major drawback of these classifications is that they only focus on immediate survival while ignoring the long-term morbidity and mortality in these children. Our study aims to bridge this gap in knowledge by studying the impact of one such classification (Okamoto's classification) on mortality and morbidity during a period of 1 year after discharge from the hospital in operated cases of esophageal atresia.

Materials and Methods:

After institutes ethical clearance, 106 children operated for esophageal atresia-tracheoesophageal fistula between 2012 and 2015 were studied prospectively for a period of 1 year after their discharge. The children were graded as per Okamoto classification. The primary objective was to determine the efficacy of this classification in predicting the survival rates in infancy and the secondary objective was to compare the complication rates in these children based on the classification.

Results:

Sixty-nine children met the inclusion criteria. There were 40, 15, 10, and 4 children in Okamoto Classes I, II, III, and IV, respectively. Twenty-one patients (30%) died during the follow-up period with the maximum number of deaths occurring in Okamoto Class IV (75%) and the minimum in Okamoto Class I (17.5%) (P = 0.003). There was a significant correlation between the Okamoto classes with the incidence of poor weight gain (P = 0.001), lower respiratory tract infection (P = 0.007), and failure to thrive (P = 0.01) higher in Okamoto IV and III as compared to I and II.

Conclusion:

Okamoto prognostic classification during the initial hospitalization is relevant even at 1 year follow-up with increased mortality and morbidity in Okamoto Class IV as compared to Class I.