bluuebunny/crossref_metadata_2025 huggingface dataset:
Mitochondrial translation failure represses cholesterol gene expression via Pyk2-Gsk3β-Srebp2 axis
Authors: Toshima Takahiro , Yagi Mikako , Do Yura , Hirai Haruka , Kunisaki Yuya , Kang Dongchon , Uchiumi Takeshi
Published: May 2024

Neurodegenerative diseases and other age-related disorders are closely associated with mitochondrial dysfunction. We previously showed that mice with neuron-specific deficiency of mitochondrial translation exhibit leukoencephalopathy because of demyelination. Reduced cholesterol metabolism has been associated with demyelinating diseases of the brain such as Alzheimer’s disease. However, the molecular mechanisms involved and relevance to the pathogenesis remained unknown. In this study, we show that inhibition of mitochondrial translation significantly reduced expression of the cholesterol synthase genes and degraded their sterol-regulated transcription factor, sterol regulatory element-binding protein 2 (Srebp2). Furthermore, the phosphorylation of Pyk2 and Gsk3β was increased in the white matter of p32cKO mice. We observed that Pyk2 inhibitors reduced the phosphorylation of Gsk3β and that GSK3β inhibitors suppressed degradation of the transcription factor Srebp2. The Pyk2–Gsk3β axis is involved in the ubiquitination of Srebp2 and reduced expression of cholesterol gene. These results suggest that inhibition of mitochondrial translation may be a causative mechanism of neurodegenerative diseases of aging. Improving the mitochondrial translation or effectiveness of Gsk3β inhibitors is a potential therapeutic strategy for leukoencephalopathy.
A delicadeza : estética, experiência e paisagens
Authors: Silva Denilson Lopes
Published: May 2024

Tudo começou, começa, com o desejo de falar sobre a beleza hoje em dia, da possibilidade da estética após os Estudos Culturais. Uma estética adequada a uma produção cultural e artística que se firmou após os anos 1970, quando cada vez mais os meios de comunicação de massa se tornam parte integrante da experiência cotidiana das sociedades contemporâneas. Em contraponto à violência, à crueldade e ao excesso, tive como guias a delicadeza, a leveza e o banal. Opção ética e política traduzida em recolhimento e desejo de discrição em meio à saturação de informações. Cada imagem, som, narrativa me levaram a um novo encontro. Eclipse do sujeito, do autor diante do mundo. Tudo se traduziu por fim em paisagens. As obras se dissolveram em devaneios e impressões. Pequenas ondas. Vestígios. Pegadas. Isto não é um livro, é uma prece. ------------------------------------------ Agência de fomento: Finatec
Study results in curvilinear motion of high-speed track machine with electromechanical transmission
Authors: Kuznetsova V. N. , Romanenko R. V.
Published: May 2024

Introduction. Transport and technological means based on tracked undercarriages have found their use in both military and civilian industries. Their widespread use is due to a number of advantages that contribute to the further development of mechanization of production, increasing the efficiency of transportation of minerals, and developing infrastructure during the development of new territories. Ensuring cross-country ability and mobility of vehicles with tracked undercarriages, including tracked conveyor-tractors, is possible through the use of hybrid electromechanical transmissions. One of the components of scientific research in this direction is carrying out simulation modeling of the movement of equipment. Modeling the motion process will make it possible to substantiate the energy characteristics of the electromechanical transmission of a tracked vehicle and confirm the adequacy of previously performed theoretical studies.

Research methods. The main objective of the simulation was to confirm the effectiveness of the theoretical studies performed. The studies in the VISSIM programming environment using typical motion cycles that equivalently reflect the operating conditions and use of a tracked machine were carried out.

Results. As a result of the research, quantitative estimates of the influence of the power of a diesel generator and the charge of an energy storage device on the dynamic performance of equipment were obtained. It has been established that in order to meet the requirements for promising samples, the power of the energy storage device should be at least 2.5 kWh when using a standard internal combustion engine.

Discussion and conclusion. The research results can be used to create, based on the existing scientific and technical background, a promising robotic complex with an electromechanical transmission.
Vibrating roller with compacted soil interaction modelling
Authors: Tyuremnov I. S. , Shorohov D. A.
Published: May 2024

Introduction. Vibrating rollers are the most common means of compacting soils in construction. The nature of stress development on the contact surface of the roller with the ground depends on the technical characteristics of the vibrating roller (the mass of the roller, the mass of the roller frame, the frequency and driving force of vibrations, the number and characteristics of the roller shock absorbers) and the properties of the soil.

Materials and methods. Simulation of the interaction of a vibrating roller with compacted soil was carried out using a three-mass rheological model of the frame-roller-soil system. Differential equations of mass motion in contact and separation modes were solved numerically. To determine the numerical values of the loading time (increase in contact stresses from zero to the maximum value) and the unloading time (decrease in contact stresses from the maximum value to zero), as well as the maximum reaction force of the soil, a computational experiment was conducted on a rheological model. The mass of the vibrating roller module (the mass of the front axle) and the relative driving force were used as independent parameters of the vibrating roller. The coefficients of elastic and viscous resistance of the soil were chosen as independent parameters of the soil. The total number of combinations of factors was 192. The values of the time of loading and unloading of the soil, as well as the maximum strength of the soil reaction, were determined by oscillograms of changes in the strength of the soil reaction over time.

Results. Using the STATISTICA program, regression equations, to calculate the numerical values of the loading and unloading time of the soil, as well as the maximum reaction force of the soil and the corresponding values of the reliability coefficients of the multiple approximation, were obtained.

Discussion and conclusion. The rheological model reproduces the asymmetric nature of changes in contact stresses during soil compaction by a vibrating roller, observed in experimental stress oscillograms obtained during field experimental studies. The results obtained are important for calculating the depth of stress propagation in the ground and the distribution of stresses in the ground after the passage of a vibrating roller using a wave approach to describing stress propagation in the ground. In the future, it is advisable to conduct a computational experiment with an expanded list of independent parameters of the roller, including the oscillation frequency.
Forecasting technique of transport need for population of cities with high tourist potential during peak seasons
Authors: Yakunin N. N. , Yakunina N. V. , Fattakhova A. F. , Postnikova A. A. , Yanuchkov M. R.
Published: May 2024

Introduction. One of the key problems in ensuring the quality of recreation for the population is the provision of transport services that meet the transport needs of vacationers. The study of the transport needs of the population of resort cities during the holiday season is caused by the need to assess changing passenger flows as a result of a multiple increase due to vacationers in accordance with their place of attraction and possible adjustments to the routes of regular passenger transportation by road. This determines the relevance of the topic of this article. The purpose of the article is to develop a methodology for determining the needs for transport services for the population and vacationers in cities with high resort potential during the busiest periods, which makes it possible to design transportation processes along regular routes.

Materials and methods. General scientific methods of analysis and synthesis, the provisions of probability theory and mathematical statistics, mathematical modeling, as well as the provisions of the technology of transport processes were used as the main research methods. The work carried out the zoning of the city into transport areas with a center of gravity at stopping points of urban passenger transport. Calculations of potential transport needs were carried out on the basis of a survey of vacationers and field observations, which were processed using standard Microsoft Excel and Statistika software.

Results. The main result of the work is a methodology for determining the potential transport needs of the population and vacationers in cities with high tourism potential for the development and adjustment of routes for regular passenger transportation by road during the holiday season, which represents the scientific novelty of the research. The technique contains a mathematical model and algorithm.

Discussion and conclusion. The use of this methodology will enable the organizer of transportation in resort cities to optimize the organization of regular passenger transportation by road during peak seasons.
A Method of Skin Disease Detection Using Image Processing and Machine Learning
Authors:   Professor & H.O.D/CSE East Point College of Engineering and Technology, Bengaluru, Karnataka, INDIA, I Dr.Manimozhi
Published: May 2024

Skin conditions are prevalent health issues globally. The dangers posed by these infections are unseen, leading to physical discomfort and mental anguish. In severe cases, skin diseases can even progress to skin cancer. Consequently, the identification of skin diseases from clinical images remains a significant challenge in medical image analysis. Furthermore, manual diagnosis by medical professionals is time-consuming and subjective. Therefore, there is a need for automated skin disease prediction to expedite treatment planning for both patients and dermatologists. These studies presents a digital hair removal method and de-blurs or denoise the images. To extract essential patterns from the skin imagesand statistical features techniques are utilized. Two efficient machine learning algorithms, namely Support Vector Machine (SVM), and Convolutional Neural Network (CNN) classifiers, are employed with the extracted features to accurately classify skin images as melanoma (MEL), melanocytic nevus (NV), basal cell carcinoma (BCC), actinic keratosis (AK), benign keratosis (BKL), dermatofibroma (DF), vascular lesion (VASC), and Squamous cell carcinoma (SCC). The models are validated using the ISIC 2019 challenge and HAM10000 datasets, with SVM demonstrating slightly superior performance compared to the other classifiers. Furthermore, a comparison with state-of-the-art methods is conducted to evaluate the effectiveness of the proposed approach.
Transforming the University HR on Boarding Process with RPA
Authors:   Assistant Professor, Dept of CSE East Point College of Engineering and Technology, Bengaluru, Karnataka, INDIA, Patil Shilpa
Published: May 2024

The HR Onboarding Assistant project employs Robotic Process Automation (RPA) to enhance the efficiency of on boarding in education institutions. This initiative utilizes a well-structured RPA system with bots, data integration, security measures, and user-friendly interfaces to automate tasks, reduce errors, and improve the onboarding experience. It also supports ongoing optimization and data-driven decision-making for colleges and universities. This initiative addresses these challenges by introducing a meticulously designed RPA architecture. The architecture encompasses a suite of RPA bots, an orchestration layer, and compliance measures. Each component collaborates to automate specific tasks, thereby reducing manual workload, eliminating human errors, and accelerating the onboarding timeline. The project offers a comprehensive solution that includes a user-friendly interface for HR professionals, real-time notifications. Furthermore, the architecture accommodates ongoing optimization, and continuous monitoring. It is designed to foster a culture of data-driven decision - making, ensuring that the onboarding process evolves and adapts to the institution's needs.
Revolutionizing Deepfake Detection and Realtime Video Vision with CNN-based Deep Learning Model
Authors:   Assistant Professor, Dept. of CSE East Point College of Engineering and Technology, Bengaluru, Karnataka, INDIA, Kumar Pavan
Published: May 2024

The rapid advancement of deep learning models that can generate and synthesis hyper-realistic videos known as Deepfakes and their ease of access have raised concern on possible malicious intent use. Deep learning techniques can now generate faces, swap faces between two subjects in a video, alter facial expressions, change gender, and alter facial features, to list a few. These powerful video manipulation methods have potential use in many fields. However, they also pose a looming threat to everyone if used for harmful purposes such as identity theft, phishing, and scam. In this work, we propose a Convolutional Vision Transformer for the detection of Deepfakes. The Convolutional Vision Transformer: Convolutional Neural Network (CNN) and Vision Transformer (ViT). The CNN extracts learnable features while the ViT takes in the learned features as input and categorizes them using an attention mechanism. We trained our model on the DeepFake Detection Challenge Dataset (DFDC) and have achieved 91.5 percent accuracy, an AUC value of 0.91, and a loss value of 0.32. Our contribution is that we have added a CNN module to the ViT architecture and have achieved a competitive result on the DFDC dataset.
Explainable AI for Abnormal Human Activity Detection in Surveillance Videos: A Review
Authors:   Research Scholar, Department of Computer Science and Engineering East Point College of Engineering and Technology,  Bengaluru Visvesveraya Technological University, Belagavi, U H Divya , Prem Dr.Josephine ,   Professor, Department of Computer Science and Engineering Cambridge Institute of Technology, Bengaluru, Visvesveraya Technological University, Belagavi
Published: May 2024

This review paper examines the integration of Explainable AI (XAI) techniques into abnormal human activity detection from surveillance videos, emphasizing their significance in enhancing transparency, accountability, and trustworthiness in AI-powered surveillance systems. Through an exploration of XAI methods such as LIME, SHAP, and attention mechanisms, we discuss how these techniques provide insights into the decision-making process of AI models, enabling stakeholders to understand and interpret model predictions. Furthermore, we highlight the advantages of using XAI for debugging errors, identifying biases, and increasing trust among human operators in various security contexts. Additionally, we discuss ongoing research directions in XAI for abnormal human activity detection, including the development of advanced explanation techniques and the incorporation of user feedback into the explanation process. By fostering collaboration between humans and AI, XAI holds the potential to enhance the effectiveness and responsible deployment of surveillance systems, contributing to safer and more secure environments for all stakeholders.
Material Property Prediction Using Machine Learning
Authors:   Department of Computer Science Engineering East Point College of Engineering and Technology, Bengaluru, Karnataka, INDIA, Harde Neha
Published: May 2024

The ability to accurately predict the properties of materials is crucial for numerous applications across various industries, including materials science, engineering, and manufacturing. With the advent of machine learning (ML) techniques, researchers have gained powerful tools to model and predict material properties based on their composition, structure, and processing conditions. This review paper provides a comprehensive overview of material property prediction using machine learning. It covers the historical development, available ML models, recent trends, and prospects in this rapidly evolving domain.
Automated Lead Qualification Using RPA and Sales Force
Authors:   Assistant Professor, Department of CSE East Point College of Engineering and Technology Bengaluru, Karnataka, INDIA, Prabhu Shilpa , T V Rashmi ,   Assistant Professor, Department of CSE East Point College of Engineering and Technology Bengaluru, Karnataka, INDIA
Published: May 2024

Lead qualification is a critical process in sales and marketing, determining which leads have the highest potential for conversion into customers. This paper explores the integration of Robotic Process Automation (RPA) with Salesforce Customer Relationship Management (CRM) to automate lead qualification processes. By leveraging the capabilities of RPA bots to extract, process, and analyze data from Salesforce, businesses can achieve faster and more accurate lead qualification, leading to increased sales efficiency and revenue generation. This paper discusses the benefits, challenges, and implementation considerations of this integration, supported by real-world examples from companies that have successfully implemented automated lead qualification using RPA and Salesforce.
Intelligent Environment using Extended Reality and Machine Learning to Improve Healthcare
Authors:   Assistant Professor, Dept of CSE  Eastpoint College of Engineering, Bangalore, INDA, K Revathi
Published: May 2024

Intelligent Environments (IEs) represent a paradigm shift in the way we interact with our surroundings, leveraging Ambient Intelligence (AmI) to create responsive and adaptive spaces that seamlessly integrate technology into the built environment. By harnessing sensors, actuators, and artificial intelligence, IEs have the potential to enhance human experience, improve efficiency, and promote sustainability across various domains, including smart homes, workplaces, cities, and healthcare facilities. This paper provides an overview of IE concepts, discusses key technologies and applications, explores design considerations, and outlines future directions for research and development in this dynamic field. This paper focuses on the study of the potential use of Extended Reality technologies in order to promote Green Health as well as their use in Smart Hospitals, one of the variants of Smart Environments, incorporating Machine Learning and Computer Vision, as a tool to support and improve healthcare, both from the point of view of the health professional and the patient, through a literature review and analysis of the current situation. Resulting in the elaboration of a conceptual model with the suggestion of technologies that can be used to achieve this scenario selected for their potential, and then the development of prototypes of parts of the conceptual model for Extended Reality Headsets as concept validation.
IOT- Based Human Friendly Smart Trolley
Authors:   Department of CSE East Point College of Engineering and Technology, Bangalore, India, M V Prof.Kesavan
Published: May 2024

Shopping and buying is an integral part of our daily lives. Big mega markets have a wide variety of items and different stores can have different deliveries of goods. It is difficult for many consumers to stand in the long queue for the billing of goods purchased. This causes wastage of money and a poor bill for the wrong customer. Trolleys are used in supermarkets or grocery stores to make shopping simpler. However, it is difficult for customers to control the trolley while shopping. An automated customer following trolley was implemented which calculates the total sum of grocery items carried in the trolley by the customers. This reduces the customer's effort to pull the trolley and keep the line for the payment of the grocery products. The customer who has a specific tag and a web camera installed in front of the trolley will recognize the tag and move the trolley to the customer. Using the RFID tag and the Raspberry Pi receiver, the item bill inserted has been obtained in the trolley. This results in an ideal solution to all these problems.
Prediction of Alzheimer’s Disease with Retinal Images Using Deep Learning
Authors:   Assistant Professor, Department of CSE,  East Point College of Engineering and Technology, Bangalore, Karnataka, India, T V Prof.Rashmi
Published: May 2024

Alzheimer's disease (AD) is a leading cause of mortality worldwide. Early detection and accurate diagnosis of AD are crucial for effective intervention and improved patient outcomes. Retinal imaging has emerged as a non-invasive and cost-effective technique for AD prediction. This study aims to develop a deep learning model using convolutional neural networks (CNNs) architecture to predict AD from retinal images. The proposed model leverages the capabilities of CNNs to automatically learn relevant features from retinal images.
Two Level Security for Key Access Using Cloud Computing
Authors:   Assistant Professor, Dept. of CSE East Point College of Engineering and Technology, Bangalore, INDIA, Bakka Jagadevi
Published: May 2024

In this work, the author constructs a key access management scheme that seamlessly transitions any hierarchical-like access policy to the digital medium. The proposed scheme allows any public cloud system to be used as a private cloud. We consider the data owner an entity consisting of several organization units. We provide a secure method for each user of this entity to access the public cloud from both inside and outside the company’s network. The idea of the key access control scheme, which is based on Shamir’s secret sharing algorithm and polynomial interpolation method, is suitable especially for hierarchical organizational structures. It offers a secure, flexible, and hierarchical key access mechanism for organizations utilizing mission-critical data.
Detecting Diabetic Foot Ulcer with CNN and CapsNet: A Comparative Investigation of Model Performance
Authors:   Assistant Professor, Department of CSE East Point College of Engineering and Technology, Bangalore, INDIA, A Manimegalai
Published: May 2024

Diabetic foot ulcer (DFU) poses a substantial health risk to patients and healthcare resources, necessitating accurate and efficient diagnosis. This study harnesses the power of convolutional neural networks (CNNs) and capsule networks (CapsNets) to redefine DFU classification, aiming for enhanced accuracy and efficiency. By integrating state-of-the-art deep learning architectures, we address the limitations of existing diagnostic methodologies. Through comprehensive data pre-processing, feature extraction, and classification, our system seeks to improve diagnostic precision and contribute to better patient outcomes. A comparative analysis between CNNs and CapsNets evaluates key performance metrics, guiding future advancements in medical image diagnosis. Furthermore, computational timing assessments ensure practicality in medical settings. This research underscores the potential of deep learning in revolutionizing medical image diagnosis and emphasizes the critical role of accurate DFU detection in diabetic care.
THE LАBОUR MАRKET IN СОNDITIОNS ОF DIGITАL TRАNSFОRMАTIОN: THE IMPАСT ОF THE GIG EСОNОMY
Authors: Hоrdiienkо Yevheniya , Sоkоlоvskа Maryna
Published: May 2024

Thе аrtісlе еxаmіnеs thе іmpасt оf thе gіg есоnоmy оn thе mоdеrn lаbоur mаrkеt іn thе соntеxt оf dіgіtаl trаnsfоrmаtіоn. Thіs аrtісlе оffеrs аn аnаlysіs аnd аssеssmеnt оf thе іmpасt оf thе gіg есоnоmy оn еmplоymеnt, stаbіlіty аnd wоrkіng соndіtіоns. Thе lаbоur mаrkеt іn tоdаy's wоrld іs rаpіdly dеvеlоpіng аnd сhаngіng undеr thе іnfluеnсе оf dіgіtаl tесhnоlоgіеs, whісh lеаds tо аn іnсrеаsе іn thе nееd fоr а flеxіblе wоrkfоrсе. Іt hіghlіghts hоw thе gіg есоnоmy, whісh іnсludеs frееlаnсіng, соntrасt wоrk аnd shоrt-tеrm еmplоymеnt, іs plаyіng аn іmpоrtаnt rоlе іn сhаngіng thе struсturе оf thе lаbоur mаrkеt. Thrоugh dаtа аnаlysіs аnd stаtіstісs, thе іmpасt оf thе gіg есоnоmy оn sосіаl аspесts suсh аs sосіаl prоtесtіоn аnd есоnоmіс іnеquаlіty іs еxаmіnеd.

Аt thе еnd оf thе аrtісlе, аn оvеrvіеw оf сurrеnt trеnds іn thе lаbоur mаrkеt іn thе соntеxt оf dіgіtаl trаnsfоrmаtіоn іs gіvеn аnd pоssіblе prоspесts fоr futurе dеvеlоpmеnt аrе nоtеd. Іn thе соnсlusіоn оf thе аrtісlе, thе prіоrіty dіrесtіоns fоr іmprоvіng thе rеfоrm аnd dеvеlоpmеnt оf thе sесtоr оf lеgіslаtіvе rеgulаtіоn оf іnfоrmаtіоn tесhnоlоgіеs іn Ukrаіnе іn thе соndіtіоns оf dіgіtаl trаnsfоrmаtіоn аrе іndісаtеd.
Investigation of volatile compounds of Liberica coffee beans fermented at
varying degrees of roasting
Authors: Wibowo N.A. , Mangunwardoyo W. , Santoso T.J. , Yasman
Published: May 2024

Liberica coffee (Coffea liberica Bull ex Hiern) has gained worldwide popularity, because
it has a unique taste and aroma, and it is able to adapt to peatlands and is more tolerant of
disease. Previous studies suggested that fermentation with hydrolytic bacteria could
improve flavors, mostly determined by volatile compounds by the roasting process.
However, studies about the volatile compounds and their roles in the taste and aroma of
this coffee are still limited. This study aimed to investigate volatile compounds from
fermented Liberica coffee beans roasted at light roast (150-160°C, 2.2 Mbar, 12 mins);
medium roast (175-185°C, 2.2 Mbar, 7.30 mins); and dark roast (200-220°C, 2.2 Mbar, 10
mins). Samples were collected from various fermentation times 0, 4, 8, and 12 hrs and
dried. Green beans with a moisture content of 12% were roasted in 3 roast stages. In this
work, the extraction of volatile coffee compounds was performed using solid phase
microextraction (SPME) and subsequently analyzed by gas chromatography-mass
spectrometry (GC-MS). To determine the significance of fermentation time and degree of
coffee roasting in the area, a two-way univariate analysis of variance (ANOVA) test was
used, followed by a Tukey's honest significant difference (HSD) test with a statistical
significance level of p<0.05. The results showed that a total of 59 of the 130 volatile
compounds had a significant difference at different roasting degrees to the area of
compounds with a statistical significance level of p<0.05. Those compounds consisted of
5 aldehydes, 18 furans, 4 ketones, 9 phenols, 13 pyrazines, 5 pyridines and 5 pyrroles.
¿Que nadie se quede atrás?: una mirada crítica a la territorialización de los ODS en los planes de desarrollo de tres municipios boyacenses (Colombia), 2016-2023
Authors: Herrera-Camargo Lyda Marcela , Cruz-Rubio César Nicandro
Published: May 2024

El lema «Que nadie se quede atrás» resume el concepto de desarrollo sostenible e inclusivo que integra la visión de la Agenda 2030. Localizar y llevar al territorio los Objetivos de Desarrollo Sostenible (ODS) es una tarea prioritaria y a la vez compleja, la cual se ha ido afrontando por cada país con más o menos éxito, y donde el adecuado diseño de los principales instrumentos de planificación local es pieza clave en este proceso de territorialización. Bajo una metodología de elaboración propia, se conceptualizan los planes como diseños de políticas (policy designs) y se analizan en tres municipios de Boyacá (Colombia), en el período 2016-2022. La reflexión crítica asociada y los hallazgos dan cuenta de una gran dificultad de asumir la Agenda 2030 dentro del contenido de los planes, así como la persistencia de grandes retos estructurales pendientes de solucionar, lo que deja entrever que queda mucho camino por recorrer.
Análise petrográfica e diagenética na Formação Pimenteira: estudo comparativo em diferentes contextos deposicionais
Authors: Franco Neto Emmanuel , Viera Batista Zenilda , Agostinho Sonia , Sedorko Daniel , De Jesus Andrade Edilma , Alves Moreira Junior Carlos , Vicente Calandrini Azevedo João , Santana Bezerra João Pedro , Welle Rodrigues Barbosa Van Thamara , Lima Filho Mario
Published: May 2024

As seções estudadas, Rio Sambito e São Miguel do Tapuio (Formação Pímenteira, Devoniano da Bacia do Parnaíba), são pouco conhecidas quanto à petrografia e diagênese dos seus arenitos. Neste contexto, o presente trabalho procura aprofundar o conhecimento petrográfico e busca sequenciar a evolução diagenética a que foram submetidas as rochas presentes nos locais estudados. Foram identificadas litofácies a partir de descrições in loco e levantamento de perfis estratigráficos. Também foram preparadas onze lâminas delgadas a partir de amostras de arenitos, siltitos e folhelhos, com o propósito de realizar uma caracterização petrográfica e de evolução diagenética subsequente. Através da caracterização de fácies sedimentares combinada com informações sobre sistemas deposicionais, foram identificados sete tipos de litofácies diferentes. A assembleia de minerais presentes nos arenitos de São Miguel do Tapuio é constituída predominantemente por quartzo, enquanto os arenitos do Rio Sambito são compostos por quartzo, plagioclásio (albita), muscovita, rutilo, turmalina e magnetita. Tanto as rochas de São Miguel do Tapuio, quanto as do Rio Sambito foram afetadas por vários processos diagenéticos, alguns desses processos alteraram a porosidade original dessas rochas. A análise petrográfica e petrológica mostraram que os arenitos das seções de São Miguel do Tapuio e Rio Sambito compreendem quartzarenitos e subarcóseos. A composição primária das rochas estudadas, e a porosidade, foram modificadas por processos e constituintes diagenéticos durante os estágios da eodiagênese, mesodiagênee e telodiagênese. Ressalta-se que a petrografia e os processos diagenéticos das duas seções são similares, diferenciando apenas a intensidade de atuação de cada processo.
Analysis of the efficiency of different Oleaginous seeds and shells for use as natural coagulants
Authors: Luam de Oliveira  , Sousa Inajá Francisco de , Silva Gabriel Francisco da , Barbosa Silvanito Alves , Caetano Nídia de Sá
Published: May 2024

The research problem is to reduce the use of chemical coagulants by seeking more sustainable alternatives to water treatment. The use of Moringa oleifera (MO) is a good alternative coagulant agent, indicated in the water treatment system, in its clarification process, in addition to being biodegradable, but there is a need to look for other seeds that also have potential for be used as natural coagulants, in this context, it is justified to study other typical seeds from Portugal, where this study was carried out, to be used as an alternative natural coagulant. The hypothesis of this project is: among the typically European seeds selected for evaluation, seeds with high potential for use as a natural coagulant for use in water treatment will be found. This project aims to identify seeds, typical of Portugal, with similar potential to Moringa oleifera Lam to be used as a natural coagulant. The project was carried out in partnership with UFS, IFS and ISEP, where experiments were carried out with synthetic water with turbidity ranging from 40 to 350 NTU. The seeds used were four different types of European chestnuts, American and Portuguese nuts, plantain and Moringa oleifera, in addition to chestnut and walnut shells. From the results found, the Spanish chestnuts stand out with a turbidity removal efficiency of up to 69.8% in high turbidity water, in addition to the MO with a removal efficiency of 89.8% in high turbidity water.
Contribuições à História Geoecológica e Biogeográfica da Amazônia Brasileira durante o Antropoceno
Authors: Dias Luiz Jorge Bezerra da Silva , Silva Anderson Nunes , Costa Allana Pereira , Guimarães Erick Cristofore , Santos Jadson Pinheiro , Oliveira Tadeu Gomes de
Published: May 2024

As discussões sobre a definição do Antropoceno, embora recentes e ainda não consensuais, já proporcionam um melhor entendimento de como o homem causa ou potencializa rupturas dos sistemas naturais e assim configuram novas dinâmicas geográficas e, sobretudo, ecológicas. Em diversas escalas de atuação, o homem tem materializado suas tentativas de domesticação das paisagens e da natureza, o que tem levado a uma descaracterização dos grandes biomas holocênicos, como é o caso da Amazônia Brasileira. Essa concepção guiou novas discussões conceituais acerca das articulações geográficas e ecológicas no contexto dessa grande área e em sua transmutação para um conjunto de antromas. Através de procedimentos cartográficos próprios, com auxílio de técnicas de geoprocessamento e de acesso a uma bibliografia especializada, foi possível estabelecer um panorama evolutivo geoecológico e biogeográfico dos anos 1700 ao início dos anos 2000 para a Amazônia Brasileira, demonstrando os seus graus de antropização. O estudo conclui que as visões geoecológica e biogeográfica pautadas na definição de bioma já não devem ser plenamente consideradas para a Amazônia Brasileira no que tange às políticas de conservação nela desenvolvidas. Isso porque as estratégias geopolíticas em curso apontam para uma maior impressão das marcas humanas no território, o que força aos tomadores de decisão buscar alternativas para manter e conectar as paisagens naturais remanescentes.
Aeromonas hydrophila IN FISH AND HUMANS; PREVALENCE, VIRULOTYPING AND ANTIMICROBIAL RESISTANCE
Authors: Ahmed Heba A. , Mohamed Mohamed E.M. , Rezk Maha M. , Gharieb Rasha M. A. , Abdel-Maksoud Shehata A.
Published: May 2024

This work aimed to investigate the virulence factors and antibiotic resistance of A. hydrophila isolated from different sources in Damietta Governorate, Egypt. The samples comprised of tilapia (Oreochromis niloticus, n=150), mugil (Mugil cephalus, n=144), human stool (n=102) and fish sellers hand swabs (n=85). A total of 25 A. hydrophila isolates were recovered and molecularly confirmed, of which, 2.7% were from tilapia muscles, 2% from tilapia viscera, 6.3% from mugil viscera and 8.8% from stool samples. No isolates were recovered from mugil muscles and hand swabs. Phenotypic determination of heamolysis, lipolysis, proteolysis and gelatinase activity revealed that 60%, 56%, 60% and 100% were positive, respectively. Molecular identification of haemolysin (hly), aerolysin (aer), lipase (lip) and cytotoxic enterotoxins (act) virulence associated genes showed that 28%, 68%, 28% and 16% of the examined isolates were positive, respectively. Antimicrobial susceptibility of the isolates to 17 antibiotics was determined, the most resistance pattern was observed for cefixime (88%), while, all of the isolates were susceptible to imipenem. This study revealed that A. hydrophila isolated from fish and humans showed several virulence factors and exhibit a wide range of antibiotic resistance which is considered a public health hazard as well as.
A STUDY ON BOVINE BABESIOSIS AND TREATMENT WITH REFERENCE TO HEMATOBIOCHEMICAL AND MOLECULAR DIAGNOSIS
Authors: Hashem Mohamed A. , Neamat-Allah Ahmed N.F. , Gheith Mohamed A.
Published: May 2024

This study was carried out during the period from May to December 2015 on thirty crossbred female cows in Sherbeen city, Dakahlia Governorate and two to four years of age. Twenty cows suffered from fever, anorexia, increase in respiratory and heart rates, anemia, pale to icteric mucous membranes and red urine. Babesiosis was diagnosed clinically and confirmed by detection of intra-erythrocytic stages of the Babesia in Giemsa stained blood film, polymerase chain reaction amplification (PCR) and sequencing of 18S rRNA gene. Hemoparasites were detected in thirteen blood samples by microscopic examination, whereas PCR were positive in twenty. The hematological findings revealed a marked decrease in the erythrocyte count, hematocrit %, hemoglobin concentration and mean corpuscular hemoglobin concentration with a significant increase in mean corpuscular hemoglobin and mean corpuscular volume values in Babesia-infected cows when compared with healthy control. On the other hand there was a significant leucopenia and thrombocytopenia along with a significant eosinophilia. The biochemical findings of infected cows revealed a significant increase in activities of serum alanine aminotransferase, aspartate aminotransferases, alkaline phosphatase and lactate dehydrogenase. In contrast a significant decrease in serum levels of total proteins, albumin, globulins, sodium and potassium. While serum bilirubin (total, direct and indirect), urea and creatinine levels were significantly increased. After administration of single I/M imidocarb dipropionate 12% (1.7 mg/kg BW) to Babesia infected cows, there was an improvement in hematological and biochemical parameters. It concluded that molecular detection of B. bigemina more sensitive than blood smear. Treatment infected cows with imidocarb improves the clinical signs, hematological and biochemical parameters that indicate recovery of infected cows.
PREVALENCE OF MULTIDRUG-RESISTANT Staphylococcus aureus AND Salmonella Enteritidis IN MEAT PRODUCTS RETAILED IN ZAGAZIG CITY, EGYPT
Authors: Morshdy Alaa Eldin M.A. , Darwish Wageh S. , Salah El-Dien Waiel M. , Khalifa Sahar M.
Published: May 2024

This study aimed to monitor the hygienic status of fresh minced meat, smoked sausage and fresh beef burger (50 samples, each) retailed in Zagazig city, Egypt. Aerobic plate count, total Staphylococcus aureus count and most probable number of coliforms have been conducted. The prevalence, antibiotic susceptibility as well as detection of the drug resistance associated virulence genes of S. aureus (mecA, blaZ, and aac (6') aph (2'')) and Salmonella species (blaTEM, tetA(A), and floR) in the examined meat products have been carried out. The highest mean (log10 cfu/g) of aerobic plate counts (5.44±0.11) and most probable number (4.15±0.10-log10 MPN/g) were recorded in minced meat. However, the highest mean of S. aureus counts (3.47±0.12-log10 cfu/g) was recorded in beef burger. Aerobic plate counts, most probable number and S. aureus counts exceeded the recommendations of Egypt Organization for Standardization by (20, 4 and 16%), (14, 12 and 20%) and (50, 10 and 20%) in minced meat, sausage and beef burger, respectively. Salmonella Enteritidis was detected in 4 (8%) beef burger. However, S. aureus was isolated from minced meat and beef burger (5 samples, each, 10%) and 4 sausage samples (8%). mecA, blaZ and aac(6’)aph(2”) were detected in all S. aureus isolates. blaTEM, tetA(A) and florR were detected in the all S. Enteritidis isolates. In conclusion, the achieved results revealed inadequate hygienic measures adopted during preparation of such meat products. Therefore, strict hygienic practices should be followed before serving such products to consumers.
PREVALENCE OF ENTEROTOXIGENIC AND MULTI-DRUG-RESISTANT Staphylococcus aureus IN READY TO EAT MEAT SANDWICHES
Authors: Morshdy Alaa Eldin M.A. , Hussein Mohamed A. , Tharwat Ahmed E. , Fakhry Basma A.
Published: May 2024

Due to recent spread of multiple drug resistant pathogens, this study was peformed to investigate the presence of multi-drug resistant enterotoxigenic Staphylococcus aureus (S. aureus) in some ready to eat meat products (RTE). For this, one hundred and forty samples of ready to eat meat sandwiches were collected from restaurants and street vendors in Zagazig city, Egypt. Staphylococcus aureus is one of the most important food poisoning bacteria in RTE. The counts were 3.31 ± 0.49, 2.86 ± 0.36, 3.28 ± 0.24, 3.92 ± 0.41, 2.52 ± 0.11, 3.64 ± 0.39 and 3.12 ± 0.35 log10 CFU/g in examined kofta, luncheon, burger, shawarma, hawawshi, liver and sausage sandwiches, respectively. The examined sandwiches were categorized into good (32.1%), acceptable (32.9%), unsatisfactory (26.4%) and potentially hazard (8.6%). About 72.7 % of examined S. aureus strains carry one or more staphylococcal enterotoxin (se) genes and mecA gene detected in 81.8% of coagulase positive S. aureus. The antibiogram showed that 100% of S. aureus isolates were resistant to kanamycin, 92% for penicillin and neomycin, 84% for oxacillin and erythromycin and 68% for ampicillin and nalidixic acid. The average of multi-antibiotic resistant (MAR) index of isolated S. aureus was 0.59. Moreover, five isolates were resistant to all tested antibiotic.
Study Regarding the Dimensions of Personal Autonomy Among Students Aged 13-14 Years Old
Authors: Mihaela Bogdan , Cristina Elena Moraru
Published: May 2024

Personal autonomy is crucial in developing the personality of teenagers. The COVID-19 pandemic constrained adolescents' wishes and choices by imposing isolation at home. This constraint diminished individual autonomy regarding the purpose of choices, the direction of actions and the freedom to carry out particular tasks. The study aims to assess this personality trait by applying the personal autonomy questionnaire with four dimensions: cognitive autonomy, behavioural autonomy, value autonomy and emotional autonomy. The subjects of this research were 62 seventh-grade students with an average age of 13.5±0.29 years old. The results showed that the pandemic period impaired the students' personal autonomy, and some subjects avoided expressing their feelings and lacked confidence in their strengths.
Ciencia y tecnología en los murales de la Ciudad de México (1933-1952)
Authors: Corral Guillé Gustavo
Published: May 2024

Este ensayo ofrece un análisis de las representaciones científicas en el muralismo mexicano de la primera mitad del siglo XX. A través de tres estudios de caso, el autor considera cuál era el contexto social y cultural en el que los murales fueron elaborados y cómo influyó en la elección de lo que cada artista decidió significar e investiga qué tipo de representaciones de la ciencia proporcionan sus narrativas. El ensayo construye sus conclusiones a partir de dos preguntas clave: en primer lugar, cómo contribuyó la ciencia a las visiones de México como un país moderno, en particular la ciudad de México. En segundo lugar, de qué manera los muralistas imaginaron y divulgaron la ciencia como un medio para lograrlo.
Evaluación de diccionarios en línea español-chino mediante la aplicación de la metodología de evaluación de Lew & Szarowska (2017)
Authors: Luan Yun
Published: May 2024

En el presente trabajo se evalúan seis diccionarios bilingües (español-chino y español-inglés-chino) en línea, mediante la aplicación de la metodología de evaluación de Lew y Szarowska (2017) (con algunos ajustes y mejoras realizados). Los resultados revelan que la mayoría de estos diccionarios se consideran “mayor-mente satisfactorios”, a excepción de uno, que se encuentra entre el rango “insatisfactorio” y el “aceptable”. Los diccionarios evaluados muestran algunos problemas recurrentes, como la limitada cobertura de neologismos y voces culturales, la falta de estandarización en el sistema de etiquetado y la calidad insatisfactoria de la información adicional proporcionada. También se observa que tanto la información cultural y pragmática como los recursos de multimedia o multimodalidad son aspectos menos abordados en estos diccionarios. Para trabajar estas deficiencias, se proponen sugerencias y modelos de elaboración y se discuten también las implicaciones para futuras investigaciones.
The Differential Nature of Remote Learning Among University Students
Authors: Salmani Khosro , Conley Joel , Uzoka Chidera
Published: May 2024

One of the many drastic effects of the COVID-19 pandemic in early 2020 was a sudden shift to remote learning for post-secondary students. This study aims to build a foundation for that understanding, with a particular focus on addressing the effects on students who were working concurrently with their studies through the pandemic. A survey was conducted, gathering 181 responses from undergraduate computing students attending Mount Royal University. The survey queries the students’ experience with work-school balance during the pandemic, their feelings about online classes, the perceived positive and negative aspects of learning online, and whether they would opt into online classes in the future in the absence of any pandemic-related concerns. The results show a clear perception of increased flexibility (88%) coupled with an increase in the students’ ability to manage their time (61%). Given that 74% of the respondents report that online classes are more convenient than in-person classes while only 22% report a negative impact on their performance, this study concludes that online learning opportunities may correlate with an easing of stress on post-secondary students without significantly impacting academic performance for certain personality types, while others report significantly negative experiences with respect to their mental health.
Editorial 4(1)
Authors: Yeo Michelle
Published: May 2024

This sixth issue of Imagining SoTL consists of a final set of papers based on presentations at the 2022 Symposium for the Scholarship of Teaching and Learning, with a theme of “A Decade of Imagining SoTL: Looking Back, Looking Ahead.” This was our first in-person conference since the COVID-19 pandemic, and it was good to be together. This issue follows our December issue,  Volume 3(2). Here, we present the remaining responses to our call for contributors to develop their Scholarship of Teaching and Learning (SoTL) presentations from the conference.
Emotional burnout syndrome among health care workers during the COVID-19 pandemic
Authors: Maslyakov V.V. , Khromoykina Y.N. , Onishchenko A.N. , Romanova I.V.
Published: May 2024

The COVID-19 pandemic has presented an unprecedented challenge to society. Supporting the mental health of medical personnel was a critical public health concern. Throughout the pandemic, many tragic deaths from suicide were reported. Consequently, attention to the well-being of healthcare professionals worldwide has become imperative for proper support and monitoring. The specificity of professional activity, which involves risk and situations of uncertainty, contributes to the formation of special forms of protective coping behavior in health care professionals. Nurses approach the problem situation rationally, strive to maintain control over their actions and the situation, and keep their attention on the goals of the activity. They consider the problem as a situation for personal growth, analyze the problem situation and make conscious attempts to get out of it.
ACIDENTE DE TRABALHO E TRAUMA ENCEFÁLICO: INFERÊNCIAS EPIDEMIOLÓGICAS EM MUNICÍPIO DO SUL DO TOCANTINS
Authors: Bessa Manuela Faria de , Bessa Nelita Gonçalves Faria de
Published: May 2024

O Trauma Craniencefálico (TCE) é evento de emergência hospitalar prevalente de Acidente de Trabalho (AT) envolvendo pessoas do mundo, cujos desfechos são impactantes, levando a morte ou incapacidades.
CORPOS INVISÍVEIS EM CENA: O TEATRO NEGRO COMO EXISTÊNCIA E RESISTÊNCIA
Authors: Silva Washington de Paula e
Published: May 2024

Este artigo trata-se de um recorte temático de nossa dissertação em andamento, exploramos a conceituação do termo “teatro negro” e os marcos históricos que inauguraram o teatro negro no Brasil como um
The Direction of Artificial Intelligence-based Music Education from the Perspective of Happiness
Authors:   The Korean Society of Music Education Technology, Lee Hyunsu
Published: May 2024

The purpose of this study is to review music programs installed in AI(Artificial Intelligence) reveal the structure, and find the direction of music education, focusing on happiness, which has recently received increasing attention. For this research, the researcher review the formation and standards of happiness theory and extract happiness-related elements mentioned in the Ministry of Education's curriculum. Then, explore government policies on AI and the structure of programs equipped with music technology using AI. In conclusion, based on the analysis of happiness and AI music programs, the researcher drew implications for the direction of AI music education based on true happiness.