bluuebunny/crossref_metadata_2025 huggingface dataset:
Isolation, identification and occurrence of Plectosphaerella cucumerina (Lindf.) W. Gams, 1968 on sugar beets cultivation areas in Türkiye
Authors: Avan Meltem , Kaya Rıza
Published: May 2024

As a result of the research conducted on the detection of severe root rot and drying in sugar beet (Beta vulgaris L.) fields in the Konya region of Türkiye in 2015-2017, a fungus named Plectosphaerella cucumerina was detected together with many different root pathogens. This fungus, which is known to occur in many hosts and on different substrates, is a new record for Türkiye. There are not many studies on this fungus, which was found to be low virulent in our study, neither in the world nor in our country. However, according to the limited number of studies, it has been found that there are pathogen strains of the pathogen that infect sugar beet in the Netherlands. Furthermore, it is a necrotrophic fungus that is used as a potential biological control agent against potato cyst nematodes, so it is considered a fungus that should be studied for this reason. We define this contribution as a new record for Türkiye mycobiota from P. cucumerina sugar beet seedlings
Evaluation of the mechanical and physical properties of particleboards manufactured from rice husk
Authors: Şahin Fatih , Kaymakcı Alperen
Published: May 2024

The effect of rice husk ratios on some physical and mechanical properties of particleboard was investigated. To meet this objective, particleboards with different proportions of wood, rice husk, urea-formaldehyde glue, and other chemicals were produced. The density, moisture content, water absorption, thickness swelling, modulus of rupture (MOR), modulus of elasticity (MOE), internal bond strength, and screw withdrawal resistance of the particleboards were determined. Experimental results indicated that using rice husk in particleboard production improved the dimensional properties of the particleboards. Also, it was found that mechanical properties decreased as the amount of rice husk increased in particleboard production. This is thought to be due to the fact that silica, which is one of the main components of rice husk, weakens the bonding between lignocellulosic raw materials and glue used in particleboard production.
Classification of wooden wastes with machine learning approaches
Authors: Erdil Mehtap , Yılgör Nural , Kocadağlı Ozan
Published: May 2024

In this study, 200 wood waste samples from different origins were analysed by Inductive coupled plasma optical emission spectrometry (ICP-OES) and Inductively coupled plasma mass spectrometry (ICP-MS) for 11 elements (lead, cadmium, aluminium, iron, zinc, copper, chrome, arsenic, nickel, mercury and sulphur) that are likely to present in wood waste. In the study, the data as non-hazardous and hazardous was evaluated based on the standard (TS EN ISO 17225-1, 2021). Artificial neural network (ANN) and random forest (RF) analyses were then applied to better analyze and interpret the data. In this way, statistical separation of wood wastes as non-hazardous and hazardous was realized. Accordingly, it was shown that random forest analysis with an accuracy rate of 100% was better than artificial neural network analysis with an accuracy rate of 99%. Results suggested that wood wastes could be recycled and entered the production cycle in a way to contribute to the national economy or be incinerated with appropriate methods in bioenergy production in an environmentally friendly way which would be possible with the accurate classification of these wastes. In this study, the classification of wood wastes as hazardous and non-hazardous with 100% accuracy rate using ICP data with machine learning approaches, which is not encountered in the literature review.
Artvin ili sınırlarında doğal olarak yetişen Osmanthus decorus (Oleaceae) Kasaplıgil türünün antioksidan özelliklerinin değerlendirilmesi
Authors: Avcı Ömer Faruk , Canbolat Deniz , Kılıç Burak , Demiralay Mehmet
Published: May 2024

Mevcut çalışmada Artvin ilinde doğal olarak yetişen Osmanthus decorus (Boiss. & Balansa) Kasaplıgil bitkisinden alınan yaprak ve meyve örneklerinin aktarlardan temin edilen kuşburnu (Rosa canina L.) ve ıhlamur (Tilia cordata Mill.) bitkileri ile antioksidan özelliklerinin kıyaslanması amaçlanmıştır. Osmanthus örnekleri (yaprak ve meyveleri) kurutma ve liyofilize olmak üzere iki farklı yöntemle hazırlanmıştır. Kuşburnu ve ıhlamurlar ise kurutulmuş örnek şeklinde aktarlardan temin edilmiştir. Bitki örneklerinde antioksidan kapasiteyi belirlemek için DPPH, FRAP, ABTS testleri, toplam polifenolik bileşik miktarı ve toplam flavonoid analizleri gerçekleştirilmiştir. Bulgular üç türün de antioksidan kapasiteye sahip olduğunu göstermekle birlikte Osmanthus örnekleri toplam flavonoid içeriği hariç kuşburnu ve ıhlamurun gerisinde kalmıştır. Ayrıca örnek hazırlama yönteminin (kurutma ve liyolifizasyon gibi) Osmanthus örneklerinde antioksidan kapasiteyi etkilediği gözlenmiştir. Sonuç olarak, O. decorus bitkisinin hazırlama yöntemlerine göre değişen bir antioksidan etkinliğe sahip olduğu kanaatine varılmıştır.
Evaluation of hydrological parameters and sediment dynamics in the Borçka Dam watershed using the SWAT model
Authors: Yıldırımer Saim , Özalp Mehmet
Published: May 2024

Various human-originating interventions and/or activities have been playing the major role for substantially impacting natural flow regime, water quality, and sediment transport amounts of running waters (streams, creeks etc.) in a negative way. While many studies using in-field measurements of such impacts have proven these changes, applying modeling methods in order to assess such effects are still improving. This study used the SWAT model to assess annual changes in water regime, quality, and sediment yield for Murgul, Hatila, Fabrika, and Godrahav Creeks based on field measurements. The model estimated the highest annual surface flow at Murgul Creek (2.41 m3/s) and the lowest at Fabrika Creek (0.19 m3/s). Sediment yields were 61855 t/yr at Murgul, 29826 t/yr at Hatila, 3165 t/yr at Fabrika, and 7835 t/yr at Godrahav. The model also provided reliable predictions for most sub-creeks, with R2 values between 0.85 and 0.91 and NSE values between 0.72 and 0.84. For run-off, Hatila, Fabrika, and Godrahav showed high reliability with R2 and NSE values around 0.85 and 0.80, respectively, while Murgul had lower scores (R2: 0.53, NSE: 0.22). Sediment yield was reliable in Hatila and Fabrika with R2 around 0.82, but less so in Godrahav and Murgul, with NSE values showing significant variability. Water quality predictions for NO3 were acceptable across all creeks, with R2 values around 0.82 and varied NSE values, indicating generally reliable outcomes. However, the model predicted less favorable outcomes for Murgul Creek due to significant human-induced alterations. While the SWAT model was generally promising, the study emphasizes the need for detailed, long-term data to improve prediction accuracy.
Decoding Minds: Estimation of Stress Level in Students using Machine Learning
Authors:   Department of Electronics and Communication, Jain College of Engineering, Karnataka, India, Shahapur Salma S , Chitti Praveen , Patil Shahak , Nerurkar Chinmay Abhay , Shivannagol Vijay Shivaram , Rayanaikar Vinayak C , Sawant Vishwajit , Betageri Vadiraj
Published: May 2024

Objectives: Develop a predictive model to categorize student’s stress levels and support early interventions based on self-reported data, academic performance, and study load. This will help to receive early diagnosis and treatment. Methods: In this work the data set used was downloaded from a website called KAGGLE. The dataset has more than 6000 samples, the parameters considered in this dataset are Anxiety level, self-esteem, mental_health_history, depression, headache, blood pressure, sleep_quality, breathing_problem, noise_level, living conditions, Safety, basic needs, academic performance, study_load, teacher_student_relationship, future_career_concerns, social support, peer_pressure, extracurricular_activities and bullying which directly or indirectly has an effect on the mental health of the students, so basically here 20 different types of factors are taken into consideration. This specific Research Work employs Machine Learning (ML) approaches to analyze stress levels in students from stress-level text data. Logistic Regression (LR) with 89.46%, KNeighbors with 92.8%, Decision Tree with 94.5%, Random Forest with 95%, and Gradient Boosting with 90.15%, algorithms are used to determine stress levels. Findings: Several significant findings have emerged in this research on predicting mental stress levels in students using machine learning. Studies on feature importance emphasize the importance of sleep quality, depression, mental_health_history, academic performance, and participation in extracurricular activities and several other parameters as critical criteria for accurate prediction. Multimodal techniques that integrate data from mental health history, family history, and academic records provide a more complete picture of a student’s life. Temporal dynamics are important, as stress levels fluctuate throughout time as a result of academic and personal events. Some research goes beyond prediction, investigating intervention options based on tailored stress management suggestions. Novelty: In order to anticipate student’s mental stress, this study presents a novel machine-learning architecture. This methodology attempts to give early identification of students’ mental health at risk by leveraging diverse data sources and using different machine learning algorithms with a very high accuracy level. Keywords: Stress Level, Students, Machine Learning, Decision Tree, Physio Bank
Optimizing Breast Cancer Detection: Deep Transfer Learning Empowered by SVM Classifiers
Authors:   Department of Computer Science and Engineering, Aditya Institute of Technology and Management, Tekkali, 532201, Andhra Pradesh, India, Rao M Jayanthi , Ramakrishna B , Prasad K G Durga , Vijay B , Vital T Panduranga , Ramanaiah M
Published: May 2024

Objectives: The research aims to enhance breast cancer detection accuracy and effectiveness using deep transfer learning and pre-trained neural networks. It analyses breast ultrasound images and identifies important characteristics using pre-trained networks. The goal is to create a more efficient and accurate automated system for breast cancer detection. Methods: The study uses breast ultrasound cancer image data from the Kaggle Data Repository to extract informative features, identify cancer-related characteristics, and classify them into benign, malignant, and normal tissue. Pre-trained Deep Neural Networks (DNNs) extract these features and feed them into a 10-fold cross-validation SVM classifier. The SVM is evaluated using various kernel functions to identify the best kernel for separating data points. This methodology aims to achieve accurate classification of breast cancer in ultrasound images. Findings: The study confirms the effectiveness of deep transfer learning for breast cancer detection in ultrasound images, with Inception V3 outperforming VGG-16 and VGG-19 in extracting relevant features. The combination of Inception V3 and the SVM classifier with a polynomial kernel achieved the highest classification accuracy, indicating its ability to model complex relationships. The study demonstrated an AUC of 0.944 and a classification accuracy of 87.44% using the Inception V3 + SVM polynomial. Novelty: This research demonstrates the potential of deep transfer learning and SVM classifiers for accurate breast cancer detection in ultrasound images. It integrates Inception V3, VGG-16, and VGG-19 for breast cancer detection, demonstrating improved classification accuracy. The combination of Inception V3 and SVM (polynomial) achieved a significant AUC (0.944) and classification accuracy (87.44%), outperforming other models tested. This research underscores the potential of these technologies for accurate breast cancer detection in ultrasound images. Keywords: Breast Cancer, Deep Learning, Feature Extraction, Inception-v3, SVM, Transfer Learning
Fuzzy Logic-Based Mining Strategy for Transaction Congestion Management in Blockchain Networks
Authors:   Assistant Professor, Department of Computer Applications, Bishop Heber College, Affiliated to Bharathidasan University, Tiruchirappalli, 620024, Tamil Nadu, India, Rani K Lino Fathima Chinna , Anuradha M P
Published: May 2024

Objectives: In blockchain, mining is essential for verifying and adding transactions to the chain. Transaction approval time is increasing due to the mining process's limited capacity. To address this issue, this paper aims to reduce the approval time by introducing a new fuzzy logic optimization methodology for dynamic resource allocation of mining capacity based on resource congestion. Method: The proposed methodology does not rely on block size or mining duration and efficiently handles transaction congestion. The proposed fuzzy logic effectively handles the resources in the peak transaction. It allocates the resources dynamically using both horizontal and vertical scaling. It upgrades Transactions Per Second (TPS) and manages difficulty levels considering CPU, memory, and node utilization. Findings: Simulation results demonstrate the efficacy of the proposed methodology in improving blockchain performance compared to traditional blockchain approaches. The analysis includes average active nodes, transaction latency, memory utilization, and transactions per second. Novelty: The proposed work introduces a novel approach to blockchain mining optimization by integrating fuzzy logic for dynamic scaling decisions. This innovative method addresses adaptability and resource efficiency concerns and offers a flexible and efficient solution to blockchain scalability and transaction processing challenges. Keywords: Blockchain, Fuzzy logic, Vertical scaling, Horizontal scaling, Transaction latency
Analysis of Traditional and Agile Software Development Process for Developing Recommender Model using Machine Learning
Authors:   Research Scholar, Sanjeev Agrawal Global Educational University, Bhopal, Madhya Pradesh, India, Sankhe Purvi , Dixit Mukesh
Published: May 2024

Objective: To create an AI-powered recommendation system that is designed for IT professionals to help them choose the best software development approaches. Through the use of specified data parameters. Methods: The recommendation system will make use of machine learning algorithms and data analysis methods to examine team dynamics, project needs, and other variables. The technology will enable developers to improve the quality of products and speed up the development process by recommending suitable development methodologies. Data parameters considered for the development of the recommendation model fall into four categories: requirements, user involvement, development team, type of project, and risk associated with it. Findings: Existing recommendation systems developed by different researchers are applicable for only requirement elicitation and to recommend different phases of the development process, whereas systems that will help select development methodology are not available in the existing systems. Among the five machine learning algorithms applied in the recommender system building process, the DecisionTree Classifier and RandomForest Classifier exhibit superior performance, achieving 100% accuracy, while the Kneighbors Classifier indicates 94.74% accuracy. Novelty: This study of systems introduces a novel approach to software development methodology, a recommender system, which helps IT developers select the best appropriate development approach for the development of a software product or project based on the type of project to be built and other data parameters. Keywords: Agile, Development, Requirements, Methodology, User, Customer
Study of Antioxidant, Antimicrobial and Cytotoxic Activities of Ag-Co Bimetallic Nanoparticles Biosynthesized from Red Alga (Amphiroa sp.)
Authors:   PG Student, Plant Biology and Plant Biotechnology, SDNB Vaishnav College for Women, Chromepet, Chennai, Tamil Nadu, India, Logeswari V , Yamini S , Pavithra P , Papitha A Seethal , Lakshmi D
Published: May 2024

Objectives: To biosynthesize, evaluate, and investigate the green synthesis of silver-cobalt bimetallic nanoparticles using red alga Amphiroa sp. and its interactions with human pathogens in a colloidal condition. Methods: The marine red algal extract of Amphiroa sp. was used to synthesize the bimetallic nanoparticles of Ag and Co. For this 50mL of 10-3 aqueous Ag-Co prepared solutions were combined with 50mL of pure algal extract. It was characterized by UV-Vis, FTIR, XRD, and SEM. It was tested for its antioxidant, antibacterial, and cytotoxic activities. The antibacterial activity of bimetallic nanoparticles was tested on five human pathogens Bacillus subtilis, Escherichia coli, Klebsiella pneumoniae, Staphylococcus aureus, and Pseudomonas aeruginosa. The MTT assay method was used for cytotoxic activity for MCF-7 Breast cancer cell lines. Findings: The green synthesized Amphiroa sp. bimetallic nanoparticles showed a UV-Vis spectrum absorption peak at 517nm. Analysis of the FTIR spectra verified the functional groups involved in the production of the Ag-Co nanoparticles. The diffraction pattern of silver-cobalt nanoparticles and the X-ray diffraction pattern of silver nanoparticles showed diffraction angles at 2θ values of 32.5°(15), 46.5°(11) which correspond to (111), (200), and (220). The particle size distribution, which ranges from 56 to 250nm, and the shape was revealed by SEM investigation to be cubic to rhomboidal, thus, they were confirmed to be nanoparticles as well as fine particles/particulate matter. Radical scavenging activity by DPPH, ABTS, and ferrous-reducing power assays were used to investigate the antioxidant potential. The antibacterial activity of bimetallic nanoparticles was tested on five human pathogens and with the zone of inhibition of 23, 18, and 20 mm for Pseudomonas aeruginosa, Escherichia coli and Bacillus subtilis, respectively. The cytotoxic effect was observed on MCF-7 cancer cell lines were evaluated by MTT assay. The IC50 value of our Ag-Co bimetallic sample was found to be 70.90µg/ml at 200µg/mL concentrations. Novelty: Biosynthesizing and investigating Ag-Co bimetallic nanoparticles using red alga and its characterization, antioxidant, antimicrobial and cytotoxic activity. Keywords: Amphiroa sp.; Ag-Co Bimetallic nanoparticles (BNPs); antioxidant, antibacterial and cytotoxic activity
Solving Time-fractional Order Radon Diffusion Equation in Water by Finite Difference Method
Authors:   Department of Mathematics, Rashtramata Indira Gandhi College, Jalna, Maharashtra, India, Ghuge Vijaymala , Holambe T L , Sontakke Bhausaheb , Shrimangale Gajanan
Published: May 2024

Objective: The aim of this research is to gain a comprehensive understanding of radon diffusion equation in water. Methods: A time fractional radon diffusion equation with Caputo sense is employed to find diffusion dynamics of radon in water medium. The fractional order explicit finite difference technique is used to find its numerical solution. A Python software is used to find numerical solution. Findings: The effect of fractional-order parameters on the distribution and concentration profiles of radon in water has been investigated. Furthermore, we study stability and convergence of the explicit finite difference method. Novelty: The fractional order explicit finite difference method can be used to estimate approximate solution of such fractional order differential equations. Keywords: Radon Diffusion Equation, Finite Difference Method, Caputo, Fractional Derivative, Python
Scoping Review Protocol: Changes in Skin Microbiome Post-Dermatological Interventions v1
Authors: J. Powell Eron , R. Ellis Jeremy
Published: May 2024

This scoping review protocol aims to systematically map the existing literature on the effects of common dermatological procedures on the skin microbiome. Adhering to PRISMA-ScR guidelines, we will conduct a comprehensive search in PubMed for studies published from 2007 onwards, focusing on various dermatological interventions such as grafts, laser surgery, and micropigmentation, while excluding studies involving topical treatments or systemic interventions. Screening will identify primary research articles that report changes in skin microbiome composition pre- and post-intervention. The review will provide a narrative summary and visual data representations, identifying key findings, research gaps, and implications for future research and clinical practice.
Phage screening - colorimetric test v1
Authors: da Silva Kesia , Andrews Jason
Published: May 2024

Phage Screening - Colorimetric Test protocol involves a series of steps designed to detect the presence of specific bacteriophages through a colorimetric assay. This comprehensive procedure aims to provide a robust method for screening and assessing bacteriophage activity within microbial cultures, essential for various research and diagnostic applications.
Glycolysis stress test in organoids v1
Authors: Parfitt gustavo.parfitt
Published: May 2024

Glycolysis stress test in organoids
Aggregated aSyn Dot Blot assay v1
Authors: not provided rabdelha
Published: May 2024

This protocol details aggregated aSyn Dot Blot assay.
Fixation and Immunostaining protocol v1
Authors: Parfitt gustavo.parfitt , Croft Gist
Published: May 2024

Fixation and Immunostaining protocol for tissue and cell culture
História digital baseada na experiência de sintomas urinários e intestinais na infância: Um estudo metodológico de produção tecnológica
Authors: Fonseca Lilhian Cristine Fernandes da , Salviano Cristiane Feitosa , Martins Gisele
Published: May 2024

Objetivo: Descrever a produção de protótipo de história digital baseada na experiência de sintomas urinários e intestinais em crianças. Método: Trata-se de pesquisa aplicada, com abordagem multimétodo, dividida em 2 fases: fase 1 consistiu em uma revisão sistemática de métodos mistos e um estudo de método misto (etapa quantitativa baseada em estudo retrospectivo do tipo documental por meio da análise de prontuários, e etapa qualitativa baseada em entrevistas com profissionais especialistas, responsáveis e crianças com sintomas urinários e intestinais em idade escolar). A fase 2 foi uma pesquisa metodológica de produção tecnológica do protótipo de história digital. Resultados: A partir da triangulação dos dados obtidos nas 2 fases da pesquisa multimétodo, a história desenvolvida trouxe personagens representativos do perfil de crianças com os sintomas estudados e uma narrativa com elementos da experiência desses sintomas. Conclusão: A história buscou dar protagonismo e encorajar crianças com tais sintomas para tratamento e autocuidado.
Third International Conference “Genetically modified organism: the history, achievements, social and environmental risks”
Authors: Matveeva Tatiana V.
Published: May 2024

From October 3 to October 5, 2023, the Third International Conference “Genetically modified organism: the history, achievements, social and environmental risks” was held at St. Petersburg State University as part of the implementation of the Program for the creation and development of a world-class Scientific Center “Agricultural Technologies for the Future. ”This issue is dedicated to the 300th anniversary of St. Petersburg State University and presents materials from selected conference reports.
Evaluation of the analgesic effectiveness of pulsed magnetic therapy and light therapy in the treatment of osteoarthritis of the knee joint
Authors: Byalovsky Yury  Yu. , Ivanov Aleksey  V. , Rakitina Irina  S. , Mareeva Marina  Yu.
Published: May 2024

BACKGROUND: Osteoarthritis of the knee joint is a common form of degenerative-inflammatory diseases of the musculoskeletal system with significant impairment of motor function, which is one of the main causes of disability in the population.
AIM: To evaluate the analgesic effectiveness of the use of electromagnetic field and light radiation in patients with osteoarthritis of the knee joint.
MATERIALS AND METHODS: A randomized clinical trial included 90 patients with osteoarthritis of the knee joint (Kellgren–Lawrence osteoarthritis grade II). They were divided into three groups: group I (30 patients) who received pulsed magnetic therapy; group 2 (30 patients) receiving light therapy; and group III (30 patients) who received pulsed magnetic therapy and light therapy. Pain intensity was assessed using the visual analogue scale and Laitinen scales before and after a series of procedures.
RESULTS: A significant analgesic effect after treatment was obtained in each of the study groups, since between the groups there were significant differences in pain intensity according to VAS before and after the procedures. In group I, when treated with an electromagnetic field, the difference was 27.5 mm; in group II, which received light therapy, the difference was 13.4 mm; and in group III, when treated with an electromagnetic field and light, the difference was 21.7 mm. According to the Laitinen scale, the differences were smaller, although the distribution was similar.
CONCLUSION: The therapy used has shown that pulsed electromagnetic therapy provides the greatest positive results in reducing pain in the treatment of osteoarthritis of the knee joints. Combined magnetic field therapy and light treatment showed somewhat less but significant analgesic effectiveness. Light therapy used alone appears to have the least analgesic effect.
Site Response in the Walnut Creek–Concord Region of San Francisco Bay, California: Ground-Motion Amplification in a Fault-Bounded Basin
Authors: Hartzell Stephen , Leeds Alena L. , Ramirez-Guzman Leonardo , Langenheim Victoria , Schmitt Robert G.
Published: May 2024

Thirty-seven portable accelerometers were deployed in the eastern San Francisco Bay communities of Walnut Creek and Concord to study site response in a fault-bounded, urban, sedimentary basin. Local earthquakes were recorded for a period of two years from 2017 to 2019 resulting in 101 well-recorded events. Site response is estimated by two methods: the reference site spectral ratio method and a source-site spectral inversion method. The reference site spectral ratio method allows investigation of the variability of site amplification with source azimuth and frequency. The source-site spectral inversion method yields the best least-squares fit to site response for a database of ground-motion records. Both methods show substantial amplification in the Walnut Creek–Concord basin below 2 Hz indicating strong surface-wave development. Greater amplification is seen for sources aligned along the long axis of the basin. Inversion using close-in sources at short distances yields lower amplification at longer periods than the entire data set due to reduced surface-wave generation for steeper angles of incidence. Inversion of site response spectra for shallow shear-wave velocity using a global search algorithm yields VS30 values consistent with generalized mapping results based on geology and topography but with greater variability due to local site variations. 3D finite-element modeling shows greater amplification in the Walnut Creek–Concord basin with a basin-edge effect likely contributing to higher ground motions. Topography is also seen to lead to increased scattering and shadowing effects.
Apresentação
Authors: Curi Maria Zilda Ferreira , Martins Leda Maria , Walty Ivete Lara Camargos , Ribeiro Gustavo Silveira
Published: May 2024

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Biblioteca escolar, literatura e (re)educação das relações étnico-raciais
Authors: Rocha Renata Amaral Matos
Published: May 2024

Com esta pesquisa, verificamos quais foram as obras literárias mais acessadas/lidas pelos usuários da Biblioteca Professor Antônio Camilo de Faria Alvim, abrigada no CP-UFMG, para saber se, entre estas obras, há livros de autores negros e/ou indígenas, que tematizam a cultura africana e/ou de afrodescendentes e/ou que versam sobre a cultura indígena, por entendermos que esses são os povos originários do Brasil, alvo de preconceito racial e que no curso da nossa história foram silenciados. Acreditamos que a biblioteca escolar é um espaço muito potente de disseminação da leitura literária, e que pode favorecer a formação de leitores críticos (Lajolo, 1987, Soares, 2006, Cosson, 2014) e potencializar o acesso destes leitores à diversidade de narrativas para se compreender distintas perspectivas sobre os povos, não reforçando uma visão estereotipada nem unicultural sobre eles (Alcaraz; Marques, 2016; Adichie, 2019). Adotamos procedimentos metodológicos ligados à pesquisa quali-quantitativa de natureza aplicada. Os resultados desta investigação nos dão indícios de que ainda lemos muito mais obras de autores brancos, abarcando 98,7% das obras da amostra analisada, que conta com 1,3% de obras de autores de outra cor/raça/etnia diferente de negro ou indígena, e nenhuma obra de autoria representativa desses dois últimos povos foi verificada.
Features of the Course of Arterial Hypertension in the Era of the COVID-19 Pandemic: Common Pathogenetic Links Between Hypertension and SARS-CoV-2
Authors: Berns S. A. , Leontyeva M. S. , Tavlueva E. V. , Bashnyak V. S. , Drapkina O. M.
Published: May 2024

The aim of this review was to present the mechanism of infection with severe acute respiratory syndrome-related coronavirus-2 (SARS-CoV-2) and its possible effect on the course of arterial hypertension. Another aim was to evaluate the relationship of the renin-angiotensin-aldosterone system with the pathogenetic stages of infection caused by SARS-CoV-2 virus.
Stress Echocardiography by the ABCDE Protocol ln the Assessment of Prognosis of Stable Coronary Heart Disease
Authors: Zhuravleva O. A. , Ryabova T. R. , Vrublevsky A. V. , Svyazova N. N. , Margolis N. Y. , Boshchenko A. A.
Published: May 2024

Aim. To assess the role of clinical indicators and parameters of stress echocardiography performed according to an extended protocol as predictors for the occurrence of a composite cardiovascular endpoint (CCVEP) in IHD.

Material and methods. The study included 186 patients (60.2% men, mean age 60.6±9.9 years) with an established (n=73; 39.2%) and suspected (60.8%) diagnosis of IHD. Stress EchoCG with adenosine triphosphate (38.2%), transesophageal pacing (15.1%), dobutamine (2.6%), and bicycle ergometry on a recumbent ergometer (44.1%) was performed. The stress EchoCG protocol included assessment of regional wall motion abnormalities (WMA), B-lines, LV contractile reserve (CTR), coronary reserve (CR), and heart rate reserve. The median follow-up period was 13 [9; 20] months. The composite CCVEP included death from cardiovascular diseases and their complications, acute coronary syndrome, and revascularization and was defined at the first of these events. Statistical analysis was performed with the Statistica 16.0 and SPSS Statistics 23.0 software packages. Differences were considered statistically significant at p<0.05.

Results. Invasive or noninvasive coronary angiography was performed in 90.3% of patients; obstructive coronary disease (stenosis ≥50%) was detected in 67.9% of cases. During the follow-up period, 58 (31.2%) patients had cardiovascular complications. The risk of developing CCVEP was associated with the pretest probability (PTP) of ischemic heart disease (odds ratio, OR, 1.05; 95% confidence interval, CI, 1.02-1.08), dyslipidemia (DLP) (OR 0.40; 95% CI 0.20-0.82), carotid atherosclerosis (OR 0.39; 95% CI 0.18-0.86), LV ejection fraction (OR 0.96; 95% CI 0.93-0.99), appearance at peak stress of new significant (2 LV segments or more) regional WMAs (OR 0.32; 95% CI 0.18-6.55), decreased LV CTR (OR 0.46; 95% CI 0.27-0.79) and CR (OR 0.33; 95% CI 0.18-0.61); p<0.05 for all. In a multivariate analysis with Cox regression, the model with clinical indicators included PTP of IHD (OR 1.04; 95% CI 1.01-1.07; p=0.01) and DLP (OR 0.14; 95% CI 0.02-1.01; p=0.05) as predictors. The model with stress EchoCG parameters included the appearance of new significant WMAs (OR 0.33, 95% CI 0.16-0.65; p=0.001) and reduced <2.0 CR (OR 0.44; 95% CI 0.24-0.82; p=0.01). A comparative analysis of Kaplan-Meier curves confirmed statistically significant differences in the dynamics of the CCVEP occurrence depending on the absence or presence of hemodynamically significant WMAs and/or reduced CR during stress EchoCG (p<0.01).

Conclusion. Reduced LV CR and WMA during stress EchoCG in patients with suspected or confirmed IHD are significant independent predictors for the CCVEP occurrence. Among clinical indicators, PTP of IHD and DLP are of the greatest importance for prognosis.
Hemodynamic Changes in Intrarenal Blood Flow are Associated With Poor Prognosis in Patients With Acute Decompensated Heart Failure
Authors: Sovetova S. A. , Nikiforova T. A. , Charaya K. V. , Shchekochikhin D. Yu. , Kulikov V. M. , Dubovitsky A. M. , Suchkova S. A. , Bogdanova A. A. , Ananicheva N. A. , Andreev D. A.
Published: May 2024

Aim. To evaluate a potential role of different patterns of intrarenal blood flow using Doppler ultrasound as a part of determining the severity of venous congestion, predicting impairment of renal function and an unfavorable prognosis in patients with acute decompensated chronic heart failure (ADCHF).Material and methods. This prospective observational single-site study included 75 patients admitted in the intensive care unit for ADCHF. Upon admission all patients underwent bedside renal venous Doppler ultrasound to determine the blood flow pattern (continuous, biphasic, monophasic). In one hour after the initiation of intravenous diuretic therapy, sodium concentration was measured in a urine sample. The primary endpoint was the development of acute kidney injury (AKI). The secondary endpoints were the development of diuretic resistance (a need to increase the furosemide daily dose by more than 2 times compared with the baseline), decreased natriuretic response (defined as urine sodium concentration less than 50-70 mmol/l), and in-hospital death.Results. According to the data of Doppler ultrasound, normal renal blood flow was observed in 40 (53%) patients, biphasic in 21 (28%) patients, and monophasic in 14 (19%) patients. The monophasic pattern of intrarenal blood flow was associated with the highest incidence of AKI: among 14 patients in this group, AKI developed in 100% of cases (OR 3.8, 95% CI: 2.5-5.8, p<0.01), while among patients with normal and moderate impairment of renal blood flow, there was no significant increase in the risk of developing AKI. The odds of in-hospital death were increased 25.77 times in patients with monophasic renal blood flow (95% CI: 5.35-123.99, p<0.001). Patients with a monophasic intrarenal blood flow pattern were also more likely to develop diuretic resistance compared to patients with other blood flow patterns (p<0.001) and had a decreased sodium concentration to less than 50 mmol/l (p<0.001) in a spot urine test obtained one hour after the initiation of furosemide administration.Conclusion. Patients with monophasic intrarenal blood flow are at a higher risk of developing AKI, diuretic resistance with decreased natriuretic response, and in-hospital death.
IMAGING IN CONGENITAL INNER EAR ANOMALIES IN CHILDREN WITH SEVERE -PROFOUND SENSORY NEURAL HEARING LOSS
Authors: Mishra Ankit
Published: May 2024

SNHL is quite a significantly burdened cause of childhood disability; the estimated prevalence is 1 in 2000 neonates and 6 in 1000 children present with SNHL by 18 years of age. 1 This is to be diagnosed and identified early, as impairment of hearing has quite a significant impact on various aspects of development like speech and language, social and emotional and academic achievements as well. In terms of embryological development, inner ear development starts as early as the 3rd week of intrauterine life. Out of all congenital anomalies of the inner ear, only 20–30% will appear significantly on radiological imaging. With the advancement in technology in the current scenario, there are three main treatment options available for rehabilitation of hearing: hearing aids, cochlear implants (CI), and auditory brain stem implants (ABI). Convincingly, the cochlear implant has gained a lot of popularity in recent years and is said to be an effective modality to provide hearing for congenital severe to profound SNHL. High-resolution computed tomography (HRCT) of the temporal bone and magnetic resonance imaging (MRI) of the temporal region and brain provide invaluable evaluation and characterization of inner ear structures and their anomalies. HRCT is an excellent informative assessment tool to diagnose congenital anomalies of the bony labyrinth, which include osseous details as well as variant anatomy, whereas MRI is used to look in the membranous labyrinth, vestibulocochlear nerve-free fluid spaces, and any other brain pathology to good effect.
Chinese Students’ Continued Intention to Use Liulishuo App to Learn English Speaking Skills in Non-mandatory Environment: A Case in a Chinese University
Authors:   Faculty of Education, Universiti Kebangsaan Malaysia, Malaysia, Du Kehan
Published: May 2024

This study examines the potential factors influencing Chinese university students’ continuance intention to use Liulishuo app to learn English speaking skills in a non-mandatory environment. This study empirically integrated post-acceptance model, Technology Acceptance Model (TAM), and introduced new variable perceived enjoyment. Structural Equation Modelling (SEM) was applied to estimate the proposed research framework based on the survey data collected from 350 Chinese university students who had experience of using the app during pandemic. The structural model confirms perceived usefulness and perceived enjoyment significantly influence students’ intentions to continue using Liulishuo app to learn English speaking skills. This study also provides valuable theoretical contributions in developing and testing related theories and practical implications to incorporating technology in higher education in China, and the instruction orientation for higher education teachers.
The Interplay of Identity Construction and Motivational Development in Chinese Heritage Language Learning: Confrontation between Individual Agency and Hegemonic Social Discourse
Authors: Li Haifeng
Published: May 2024

This study explores the intricate relationship between identity construction and motivational development in Chinese Heritage Language (CHL) learners. Drawing on the narratives of three CHL learners in the UK, the research employs a post-structuralist perspective and the Heritage Language Identity Development Model (HLIDM) to analyze the dynamic interplay of personal histories, spatial contexts, and relational experiences in shaping learners’ identities and motivations. The findings underscore the pivotal role of accepting one’s Chinese identity in shaping motivations to learn CHL. However, this acceptance is not passive but emerges from active societal participation and the exercise of individual agency. The study also highlights the significant influence of societal hegemonic discourses, particularly those related to authenticity, which can impact learners’ motivations negatively. The research concludes by emphasizing the need for a more inclusive understanding of Chinese identity and a challenge to dominant discourses on authenticity to support effective CHL learning.
Benefits of entrepreneurship training for low-Income Women
Authors: Xavier Corrêa de Morais Léa Paula Vanessa , Dandolini Gertrudes Aparecida , Vaz Caroline Rodrigues
Published: May 2024

This systematic review explores the perceived benefits of entrepreneurship education interventions for low-income women. It analyzes 11 empirical articles, identifying 69 benefits categorized into seven groups: financial, social status, mental health and quality of life, skills development, personal development, gender issues, and decision-making power. The review highlights the lack of standardization in data collection among the studies and the variability in benefit perception among women, influenced by individual contexts and intervention complexities. It emphasizes that that the authors reviewed are not yet relating to each and there is a need for deeper exploration of the subject to improve our understanding of the contextual factors that can enhance the effectiveness of such interventions, aiming at more substantial practical outcomes.
El impacto de la tecnología en la educación
Authors: Foina Paulo Rogério
Published: May 2024

La tecnología ha tenido un impacto en toda la sociedad, no sólo por los benefi cios en términos de  comodidad y aumento de la productividad, sino también y sobre todo por cambiar las relaciones  humanas y la forma de ejercer el poder. Estamos en un momento de transición en el que coexisten  prácticas, conceptos y valores de siglos pasados con comportamientos, valores y estructuras del siglo  XXI. Esta coexistencia, que no siempre es pacífi ca, es el mayor reto al que se enfrentan a diario los  actores políticos de la sociedad (incluidos los profesores y los operadores educativos).
Delimitación y mitigación de determinadas lagunas de aprendizaje y enseñanza
Authors: Alvares Lillian Maria Araujo de Rezende , Santos Marcello José Barbosa dos
Published: May 2024

Explora los complejos retos, los problemas persistentes y los contratiempos inesperados que encierra  el ecosistema educativo y que conducen inevitablemente a lagunas en la enseñanza y el aprendizaje.  Analiza en toda su amplitud la cadena de su aparición, pasando a averiguar cuáles son las causas de  tales defi ciencias y qué medidas pueden adoptarse para evitar que se produzcan. Introduce brevemente  las teorías del aprendizaje, siguiendo con las aportaciones de los grandes pensadores de la educación,  en particular David Paul Ausubel (1918-2008), con su aprendizaje signifi cativo, y algunos modelos de  enseñanza y aprendizaje, en particular el A systems framework of the teaching/learning process model  de William G. Huitt (1995). Por otra parte, trae a colación los constructos de la enseñanza, destacando  que el proceso se refi ere al fl ujo de conocimientos del profesor al alumno, o en términos amplios, del  profesor al alumno, del educador al alumno. Trae a colación a John Dewey (1859-1952), el educador  que defendió la necesidad de una enseñanza contextualizada y orientada a los intereses individuales  de los alumnos. La obra concluye considerando los principales motores de la educación del siglo XXI y  termina proponiendo algunas iniciativas para paliar los problemas.
Manifest of the education-oriented social business
Authors: Jacobino Lima Carlos
Published: May 2024

Manifest of the education-orientedsocial business
Diversidad taxonómica de hormigas en áreas verdes urbanas en una ciudad de tamaño medio en los Andes centrales de Colombia
Authors: Grajales-Andica Andres Felipe , García-Cárdenas Delly Rocío
Published: May 2024

La urbanización es uno de los mayores promotores de la pérdida de la biodiversidad, especialmente en regiones altamente diversas y urbanizadas, como los Andes colombianos. Por ello es fundamental estudiar el potencial de las áreas verdes urbanas para la conservación. En este estudio evaluamos y comparamos la diversidad taxonómica de hormigas en fragmentos de bosque y guadua, dos tipos de área verde inmersos en una matriz urbana en Armenia, Andes centrales de Colombia. Utilizando trampas de caída y cernido de hojarasca, se cuantificaron las diferencias en el número de especies nativas y exóticas, la diversidad alfa y beta, y los grupos funcionales. Se recolectaron 65 especies de hormigas, agrupadas en 34 géneros y ocho subfamilias. En los fragmentos de bosque y guadua el número de especies nativas fue mayor que el de las exóticas. La diversidad alfa sólo evidenció diferencias en la riqueza de especies, en donde los fragmentos de bosque son significativamente más ricos. Los dos tipos de fragmentos evidenciaron una alta similitud en la composición de especies y grupos funcionales; el reemplazo de especies fue el principal componente en la determinación de la diversidad beta. Además, se registraron 17 grupos funcionales y los dos tipos de fragmentos compartieron 46 especies en 15 grupos funcionales. Los datos de este estudio sugieren que las áreas urbanas, en especial los fragmentos de bosque, albergan una diversidad notable de especies de hormigas que, por su singularidad, ameritan los esfuerzos de conservación y restauración.
Az Ómagyar Mária-siralom és ami körülötte lehetett
Authors: Korompay Klára
Published: May 2024

A jelen előadás középpontjában az a kérdés áll, hogy az Ómagyar Márai-siralommal való foglalkozás milyen szerepet tölt be Pais Dezső életművében. A válaszhoz a kiindulópontot azok az órák jelentik, amelyeket Pais tanár úr az első magyar vers nyelvtörténeti elemzésének szentelt, s amelyeket e sorok írója 1968-tól hat féléven át hallgatott. Kiderül ezekből, hogy a Mária-siralom tanulmányozása folyamatos szál Pais Dezső tanári tevékenységében; ilyen témájú írásai mind ebből táplálkoznak. Az előadás képet ad az órák szelleméről is, amelynek meghatározó eleme volt a gondolkodás szabadsága, a tények tisztelete és a lehetőségek árnyalt számbavétele. Külön szálként jelenik meg annak a bemutatása, hogy a Mária-siralomnak Horváth Jánostól (1923) és Pais Dezsőtől (1937) származó értelmezése összefügg egymással; ennek hátterében baráti beszélgetéseik állnak. Egy újabb szál az archaikus népi imádságok világa, melyeket Erdélyi Zsuzsanna fedezett fel 1968-ban, s melyek egyes elemeiben Pais Dezső az Ómagyar Mária-siralom fordulatait ismerte fel. Ezek fennmaradását a szóbeliségben való hagyományozódás tette lehetővé.
Megjegyzések a hvárezmiek neveihez a középkori Eurázsiában
Authors: Toru Senga
Published: May 2024

Hvárezm és a hvárezmiek jelölésére szolgáló nevek között volt valaha egy *χwālis névforma, amely egy bizonyos iráni nyelvet beszélők körében volt használatban, és legkésőbb a 6. század közepétől mutatható ki. A török ajkúak – többek között a kazárok és a besenyők – ezt a szóalakot a mássalhangzó-torlódás feloldásával *qālïs alakban adaptálták, emellett egy *quwālïs variáns is keletkezhetett. A 9. században a magyarul beszélők, akik Kazária szomszédságában éltek, átvették a *qālïs szót, mégpedig a káli̮s/kȧli̮s (˃ káliz) hangalakban, amely egy 1111. évi oklevélben a caliz betűképpel van rögzítve. A kazárokkal, illetve a besenyőkkel kapcsolatban az arab írók által említett ḫaliṣ, illetve a ḫuwāliṣ, valamint a bizánci forrásokban előforduló Χαλίσ(ιοι), illetve Χουάληϛ a tör. qālïs-nak, illetve *quwālïs-nak felel meg. A keleti szláv nyelv a *χwālis névformát vette át, amiből a Хвалис alak keletkezett. Az elnevezés nem magát Hvarezmet, hanem elsősorban a Kaszpi-tenger északi partjain letelepedett hvarezmieket jelölte. A hvarezmiek tevékenységei – főként a távolsági kereskedelem területén – nem korlátozódtak Kelet-Közép-Európára, hanem egészen Kínáig terjedtek. A 8. század közepén nevük kínai jelölései iráni (feltehetően szogd) formákat tükröznek, de létezik a Guoli 過利 (˂ *qālïs) török alak is. A caliz