bluuebunny/crossref_metadata_2025 huggingface dataset:
Exploring the Relationship Between Natural Disasters and Insurance Stock Market
Authors: Mei Li
Published: August 2024

Currently, the impact of natural disasters is increasingly substantial and conspicuous. This influence has implications not only for individuals' livelihoods, a country's overall economic output, and the rate of joblessness, but also for the financial market. The objective of this article is to investigate the effects of natural catastrophes on the stock price of the insurance business. This article uses four different insurance firms' stock values as a data sample. Moreover, this article uses the Long Short-Term Memory (LSTM) model to forecast the stock values of the insurance industry in the absence of catastrophic events. The study then compares the projected prices with the actual prices. Furthermore, this study diverges from past research by specifically examining storms as opposed to other forms of damage, with a particular emphasis on analyzing the effects on insurance firms' stock values. The findings suggest that the stock prices of the four firms are experiencing distinct forms of decline. This study establishes that storm catastrophes have an immediate detrimental impact on the stock markets of insurance firms. Consequently, insurance firms have to formulate policies that mitigate losses, while investors should exercise prudence during storm catastrophes.
Chinese Digital Economy: Current Situations, Problems, and Recommendations
Authors: Xu Hanyuan
Published: August 2024

The rapid development of the digital economy is transforming global business models and social interactions. By 2025, global e-commerce transactions are anticipated to reach $6.86 trillion, underlining the importance of the digital economy as a major force for economic expansion. China's digital economy, having reached RMB 50.2 trillion in 2023 and comprising 41.5% of its GDP, is notably advancing, catalyzing the transformation of traditional industries and fostering new business models. Significant investments in digital infrastructure such as 5G, big data centers, AI, and the industrial internet underscore China's commitment to technological innovation. Despite these advancements, challenges remain, including talent shortages, data security, and privacy concerns, as well as the digital divide. Addressing these issues involves enhancing digital talent training and introduction, improving data security regulations, and promoting coordinated regional development. This study is of great practical value in guiding policy formulation, optimizing resource allocation, and promoting the inclusive application of digital technologies, which will help promote the healthy and rapid development of China's digital economy, ensure that all levels of society can benefit from the advancement of the digital economy, and achieve comprehensive economic and social transformation and upgrading.
A comprehensive engineering design analysis of Apple Watch as a smart wearable device
Authors: Sun Xianghao
Published: August 2024

This paper presents a comprehensive engineering design analysis of the Apple Watch, a pioneering smart wearable device by Apple Inc. The analysis covers the device's hardware and software components, design principles, manufacturing processes, impact on user experience, and its influence on the wearable technology market. The Apple Watch integrates advanced technologies into a sleek and functional design, enhancing user interaction through its intuitive interface and robust health monitoring capabilities. By examining its engineering intricacies and market impact, this study highlights the Apple Watch's role in shaping the future of wearable technology.
Recent advances on application of continuum robots in minimally invasive surgery
Authors: Liu Han
Published: August 2024

Continuum robots have emerged as pivotal tools in advancing minimally invasive surgery (MIS), offering enhanced flexibility and precision compared to traditional rigid instruments. This review categorizes continuum robots based on structural designs and actuation strategies, highlighting their ability to navigate complex surgical environments with minimal invasiveness. The integration of advanced sensing technologies for shape and environmental perception is examined, underscoring their role in improving surgical accuracy and patient safety. Specific applications in bronchoscopy, gastrointestinal endoscopy, and orthopedic procedures demonstrate the diverse capabilities of continuum robots in clinical settings. Despite challenges in material stiffness and sensor miniaturization, continuum robots show promising potential to reshape the landscape of MIS through continued innovation and research advancements.
Predicting heart disease using machine learning: A review
Authors: Sheng Heshan
Published: August 2024

Heart disease remains the leading cause of global mortality, necessitating precise and nuanced detection strategies. Recent advancements in machine learning and deep learning have significantly enhanced predictive capabilities for heart disease, utilizing diverse patient data such as electrocardiograms, historical diagnoses, and genomic information. This review examines various computational modelsincluding decision trees, support vector machines, and neural networksassessing their applications, strengths, and limitations in heart disease prediction. Despite these advancements, challenges persist, including algorithmic safety, ethical considerations, and the need for prospective clinical validation. Future research should focus on integrating multimodal data, enhancing model interpretability, and addressing privacy concerns to further improve predictive accuracy and clinical utility.
Refining CVE-to-CWE mapping with enhanced attention in BERT-based models
Authors: Su Jingyi , Wu Yan
Published: August 2024

In this study, we introduce CySecBERT-ARD, an advanced approach for classifying software vulnerabilities that maps Common Vulnerabilities and Exposures (CVE) to Common Weakness Enumerations (CWE). Our approach is to use a pretrained transformer-based model CySecBERT tailored for cybersecurity contexts, the model is enhanced with additive attention and relative position encoding which allow for a deeper understanding of the vulnerability descriptions of CVE by capturing the contextual relationships. Our approach achieves an impressive accuracy of 91.34% and F1-score of 91.32% during the evaluation and testing phase compared to the base models. The results demonstrate the potential of CySecBERT-ARD in enhancing the efficiency and effectiveness of vulnerability classification.
Leveraging convolutional neural networks for enhanced efficiency and safety in commercial applications
Authors: Qi Yujuan
Published: August 2024

This essay describes the ways in which Convolutional Neural Networks (CNNs) can revolutionise the use of AI in many commercial applications, such as product quality inspection, automated monitoring and analysis of customer behaviours. These applications provide several important improvements in operational efficiency, especially for companies that used to perform human-based visual work. Moreover, through the ability of CNNs to process and provide real-time data, companies can analyse defects, predict equipment failures and understand customer preferences, which then can help them to make decisions and allocate resources effectively. Additionally, this essay discusses some difficulties in implementing CNNs, like data requirements and computing demands, as well as present some real-life case studies of the implementation of CNNs within different types of industries. Furthermore, the essay concludes that incorporating CNN with other new technologies such as Internet of Things (IoT) and edge computing can help businesses make progress in achieving their goals of having agile and responsive operations. The essay mentions several advantages in using CNNs, such as accuracy, cost minimisation and better customer experiences, but also some ethical concerns about privacy and data security.
The application and development of drone vision technology in railway inspection industry
Authors: Chen Manfei , Wang Yuqi , Wang Song , Ma Yanlong , Xu Dingkun
Published: August 2024

The inspection and preventive maintenance of railway facilities and their surrounding environments are critical tasks for ensuring the safety of railway operations. Inspection is the prerequisite for maintenance, and therefore, comprehensive inspection and maintenance methods can effectively reduce operational risks and ensure safe train operations. This paper summarizes the application of drone vision technology in railway inspections, analyzing the use of drones for the inspection of high-altitude equipment and environments, ground-level equipment and environments, and disaster prevention and control. It also reviews the recent applications of drone vision inspection technology in the railway industry, identifies the constraints, and offers a perspective on future developments.
Empowering air quality prediction through "AI + big data technology" in the perspective of environmental lawA quasi-natural experiment analysis based on the "national big data comprehensive experimental zone" pilot program
Authors: Dai Mengping , Zu Xinrui , Gong Lingling , Fan Ziyi
Published: August 2024

The current environmental legal system primarily focuses on environmental pollution and ecological damage, yet it does not adequately address climate change as an environmental risk issue. Consequently, environmental law struggles to directly respond to air pollution and climate change. Due to the complexity of air pollution regulation, there is a need for legal frameworks that extend beyond conventional environmental pollution controls. The advent of "AI + Big Data" has provided new momentum and opportunities for predicting and improving air quality. This paper, viewed through the lens of environmental law and based on the policy of the National Big Data Comprehensive Experimental Zone, combined with the Difference-in-Differences (DID) model, outlines the impact mechanisms of Big Data and Artificial Intelligence in empowering air quality prediction and improvement. It also explores the path choices for achieving the objectives of accuracy and effectiveness in air quality prediction from the perspective of environmental law.
Recent advances in VAWT aerodynamic performance research: Optimal design
Authors: Yuan Quan
Published: August 2024

Vertical axis wind turbine is a popular research direction in recent years, and its aerodynamic performance directly affects its power generation efficiency. Using CFD method simulation, the aerodynamic characteristics of wind turbine blades can be deeply analyzed. In this paper, the numerical simulation progress of the aerodynamic performance of vertical axis wind turbines with airfoil as the main object in recent years is studied, the influence of different design parameters on the performance of wind turbines is discussed, the characteristics of current research are summarized, and the future research trends are prospected.
A brief study on the integral combined local optimisation design of trusses based on structural mechanics solver modelling
Authors: Ke Ziyu
Published: August 2024

With the rapid development of social construction, various structural types and demands are increasing, and truss structure is thus born. People not only pursue safety and stability, but also pay more and more attention to economic efficiency and endeavour to reduce material usage. Therefore, the optimisation of truss design has become an important trend. In this paper, with the help of structural mechanics solver, a truss design is carried out for a real engineering condition and a simple design optimisation is made. The project is analysed and researched according to the three steps of design-calculation-optimisation. With the help of the axial force and bending moment of each member output from the structural mechanics solver, the material dosage is calculated, and the design scheme is constantly improved, from which a brief optimisation method is sought to find a practical and feasible method. The design scheme is divided into the under-bearing type and the combined type, and the optimisation of the two is carried out, and the optimal design scheme is further proposed, and finally a comprehensive comparison is made. It is found through example calculations that material usage can be reduced by reducing spans, using short bars and adopting parallel truss design while ensuring the safety and stability of truss bridges. Especially when designing multi-span truss bridges, the overall material usage is reduced by increasing the use of short members, although the overall number of members will be increased.
Damage inference of statically deterministic structural trusses is carried out by Bayesian updating
Authors: Wang Yiqing , Wang Haoxin
Published: August 2024

In the face of harsh environments, aging construction materials, and increased traffic, the performance of Bridges in service continues to deteriorate. To avoid the serious consequences caused by structural damage, it is of great significance to infer the damage of the truss structure and evaluate the reliability of the bridge. In this paper, a random sampling process is used to characterize the resistance degradation, and the historical load test information and Bayesian method are used to update the resistance of serving Bridges. The modeling of structural mechanics solver determines the maximum axial force on the damaged structural member by loading different nodes. Secondly, node displacement is calculated. Then, the displacement results are taken as new information as the parameters of prior distribution for Bayesian update, and finally, the maximum probability of structural damage is obtained. The results show that the probability of EA values between 1.34 and 1.38 is the greatest. The uncertainty and variability in the process of resistance degradation of reinforced concrete bridge members can be described more reasonably by the Bayesian updating process. By integrating the real resistance degradation information detected during bridge service into practical application, and using the research method in this paper to analyze and calculate, Bridges' future service status and remaining service life can be predicted more accurately.
Isolation and Characterisation of Fungi on the Skin of Some Female Students Living in the Hostel of Federal University Wukari, Nigeria
Authors: Agwaranze Dawn , Ikrimah Mohammed , Oluwabunmi Oluleye
Published: August 2024

Aim The skin microbiota, composed of millions of microorganisms, plays crucial roles in protecting against pathogens. Skin, as the body's largest organ, hosts beneficial microorganisms, serving as a physical barrier against pathogen invasion. However, disturbances in the balance between commensals and pathogens or breaches in the skin barrier can lead to skin or systemic diseases. The study aimed to isolate and characterize fungi present on the skin of female students residing in Federal University Wukari hostels.
Methods: Skin swab samples were collected from different body parts (ear, elbow, neck, and feet) of students living in four different hostels for both morning and evening. Sabouraud Dextrose Agar (SDA) plates were used for fungal analysis and observed for growth for a period of five days at 27ºC. Microscopic identification was performed using lactophenol cotton blue staining, and pure fungi isolates were identified based on cultural and morphological characteristics and reference to fungal atlas.
Result: The most prevalent fungus found on the students' skin was Penicillium spp., occurring in 32% of the samples. Aspergillus flavus and Aspergillus niger were also common, with occurrences of 24% and 20% respectively. Fusarium spp. and Trichophyton rubrum were isolated at rates of 8% each. Interestingly, the presence of Penicillium spp. showed a significant difference between morning and evening samples, being more prevalent in the morning (28%) compared to the evening (4%).
Conclusion: The presence of these fungi on the skin doesn't necessarily indicate harm. However, they can lead to opportunistic infections in immunocompromised individuals.
Enhancing Diagnostic Accuracy with Ensemble Techniques: Detecting COVID-19 and Pneumonia on Chest X-Ray Images
Authors: Mostafa Fatma , Elrefaei Lamiaa , Fouda Mostafa , Hossam Aya
Published: August 2024

Lung diseases such as COVID-19 and pneumonia can lead to breathing difficulties, decreased lung function, and respiratory failure, leading to death if not treated immediately. Chest X-ray imaging techniques are quick, effective, and inexpensive in controlling many of these diseases. Artificial intelligence has shown promising results in detecting many diseases, including lung diseases, as it can analyze large sets of data in a short time, which leads to causes reducing the spread of these diseases. Artificial intelligence with the help of deep learning and machine learning is a milestone in modern biomedical research, offering major advances in various medical research disciplines. In this research paper, we introduced various advanced ensemble techniques as bagging, boosting, stacking, and blending with different algorithms, to enhance the performance of our classification models in detecting coronavirus and pneumonia. We specifically focused on combining convolutional neural network (CNN) and vision transformer (ViT) models to create powerful ensemble models. Our objective was to determine the most accurate ensemble technique for diagnosing lung diseases. We assessed their ability to correctly classify chest X-ray images as either COVID-19, pneumonia, or normal. The CatBoost algorithm achieved the highest accuracy of 99.753% using the COVID-19 Radiography dataset and the bagging ensemble model achieved the highest accuracy of 95.08% using 5 different publicly available data (COVIDx CXR-4). The results indicate that the advanced ensemble techniques can significantly improve the performance of machine learning models.
Uromodulin in Kidney Health and Disease: Genetic Variants, Biomarker Applications, and Clinical Implications
Authors: Odegbemi Odekunle , Olaniyan Mathew , Adebo David , Ugege Christian , Ajiboye Kemi
Published: August 2024

Uromodulin, also known as Tamm-Horsfall protein, is the most abundant protein in normal human urine and plays a crucial role in kidney function. This review explores the multifaceted role of uromodulin in renal physiology and pathophysiology, focusing on its genetic basis and utility as a biomarker. We systematically reviewed literature published between 2000 and 2024, analyzing studies on uromodulin's biomarker potential and genetic associations with kidney diseases. Our findings reveal that uromodulin is a promising biomarker for various renal conditions, including chronic kidney disease, acute kidney injury, and urinary tract infections. Urinary uromodulin levels correlate with kidney function and can predict disease progression and outcomes. Additionally, we examined genetic variants in the UMOD gene and their associations with kidney diseases. Several Single Nucleotide Polymorphisms (SNPs) in UMOD have been linked to an increased risk of chronic kidney disease, kidney stones, and hypertension.
The interplay between genetic variants and uromodulin's biomarker capabilities offers potential for personalized medicine approaches in nephrology. However, standardization of uromodulin measurement techniques and more extensive prospective studies are needed to establish its clinical utility fully. This review synthesizes current knowledge on uromodulin's dual role as a genetically influenced protein and a renal biomarker, providing insights for future research directions and potential clinical applications in kidney disease management.
Chronopharmacology: Optimizing drug therapy through biological rhythms
Authors: Shah Amit , Shah Sachi
Published: August 2024

Digital therapeutics are evidence-based therapeutic interventions that utilize digital technologies to prevent, manage, or treat medical disorders. These interventions utilize digital technologies such as mobile applications or online platforms to deliver evidence-based therapeutic interventions and treatments for various health conditions. Digital therapeutics undergo rigorous clinical validation and regulatory processes to ensure their safety and efficacy. Digital therapeutics offer several benefits in health care, including improved accessibility, personalized treatment, cost-effectiveness, continuous monitoring and feedback, enhanced patient engagement, scalability, and support for various health conditions. They have practical applications in areas such as psychiatry, drug development, substance abuse treatment, chronic insomnia, Parkinson’s disease, cardiac rehabilitation, and oncology care. Digital therapeutics can significantly improve the quality of life for individuals across different populations by providing tailored interventions for mental health disorders and addressing health conditions related to different age groups. However, challenges to the widespread adoption of digital therapeutics include resistance to change within health-care systems, interoperability issues, privacy concerns, and limited reimbursement policies. Collaboration among health-care providers, regulators, technology developers, and patients is necessary to address these challenges and ensure the safety and effectiveness of digital therapeutics.
Study of prescription pattern of antifungal drugs from tertiary care hospital
Authors: Barawade Shivaleela , Beldar Amit , Patil Sunita
Published: August 2024

Background: The most common superficial fungal infections are tinea corporis, tinea cruris, tinea capitis, tinea pedis, tinea unguium, and tinea facie and cutaneous Candida albicans infections such as oral thrush, oropharyngeal candidiasis, vaginal candidiasis, and onychomycosis.

Aims and Objectives: (i) Analysis of prescription pattern of antifungal drugs and (ii) to study common adverse effects.

Materials and Methods: A retrospective, observational study conducted in B. K. L. Walawalkar Hospital, Sawarde, Ratnagiri. A total of 993 case papers were analyzed after getting approval from the institutional ethics committee and permission from dermatology department. The frequency with percentage was used for the analysis of data.

Results: In 993 patients with superficial fungal infections, 523 (52.7%) were males and 470 (47.3%) were females. Majority of patients were belonged to 21–40-year age group, i.e., 439 (44.2%) followed by 41–60 years, i.e., 244 (24.6%). Our study shows that the most common superficial fungal infections with single lesion were tinea corporis (22.3%), tinea cruris (14.6%), and pityriasis versicolor (13.9%). In Candida albicans, the most common infection was onychomycosis 14 (1.4%). The most common antifungal prescribed was luliconazole (20.84%) followed by itraconazole (20.58%). The most common route was topical route (68.26%). Combination of drugs was not prescribed. Different prescription indicators were that the average number of drugs prescribed per encounter was 3.4 and average number of drugs prescribed per encounter was 2.7.

Conclusion: Most commonly prescribed newer antifungal was luliconazole. Next most commonly prescribed by oral route was itraconazole. No use of combination of drugs and many drugs selected from essential medicinal list. Based on these finding we concluded prescriptions where rational approach.
Understanding the EU’s Competence to Harmonise Space Law Amid Publication Delays
Authors: Jacobs Bas
Published: August 2024

In response to the European Commission’s unexpected decision on 9 April 2024 to indefinitely postpone the publication of the first draft of the European Union Space Law (EUSL), this article takes a critical look at the EU’s competence under the Treaty of the Functioning of the European Union (TFEU) and Treaty of the European Union (TEU) to establish an EUSL that seeks to harmonize the national space laws of the Member States in the space security, safety, and sustainability domains. This article specifically examines the complexities around the Union’s competence to adopt space legislation in Articles 4(3) and 189 TFEU as one of the possible factors explaining the delay. It does this by analysing the legal foundations on which the EU has historically relied to pass space legislation and harmonize national laws. The article aims to address the concerns Member States may have regarding whether the Union must depend on its ‘space competence’ in Article 189 TFEU to achieve its security, safety, and sustainability objectives or if there is legal precedent allowing it to use a mix-and-match approach of its various competencies under the TEU and TFEU. The article concludes that the Union is competent to adopt an EUSL and suggests that it could employ various binding and non-binding strategies by relying on its competencies in overlapping domains, including inter alia, Articles 11, 114, 115, 167, 170–173, and 191–193 TFEU.
Richard Arthern v. Ryanair
Authors: Greer Anastasia
Published: August 2024

The slippery issue of what constitutes an ‘accident’ for purposes of the Montreal Convention has recently been addressed by Justice Farbey of London’s High Court of Justice in Richard Arthern v. Ryanair DAC [2023] EWHC 46 (KB).
Inter-Nation Equity And The Regulation of Tax Competition via the Global Minimum Tax Rule: A Case for Improvement
Authors: Chukwudumogu Chidozie
Published: August 2024

The Organization for Economic Co-operation and Development (OECD) is an institution that influences policymaking in international tax law, and it is changing the international tax architecture to deal with tax competition by encouraging countries to adopt a global minimum tax rule. This emerging rule – called Pillar Two in international tax circles – is inadequate for dealing with poverty and inequality in an asymmetrical global context. The rule is premised on the notion and argument that tax competition is a problem for international tax law. Notwithstanding, there is existing research and evidence to show that tax competition can also be a solution to the enormous challenge of poverty and inequality as it can have a redistributive effect. This is a valuable factor amid the inefficiently asymmetrical global society with extreme poverty in many countries and enormous wealth in a few others.This article submits that the Pillar Two minimum tax rule – the Global Anti-Base Erosion (GloBE) Rules encompassing the income inclusion rule (IIR), undertaxed payment/profit rule (UTPR), and qualified domestic minimum top-up tax (QDMTT) – should incorporate inter-nation equity to prevent exacerbating global inequality and poverty. Pillar Two intensifies these for at least two reasons: (1) it restricts the positive redistributive effects of tax competition on an inefficiently asymmetrical global society, and (2) it encourages tax competition more suited for high-income countries (HICs) and less suited for those that are low-income countries (LICs). There is latitude to incorporate a differentiated principle deriving from inter-nation equity into this new Pillar Two rule designed to regulate tax competition globally. This proposal requires that the emerging rule be disenabled in certain circumstances to enable LICs to choose whether to apply the rule without being worse off. The article’s proposal seeks to allow LICs room for effective tax competition needed to attain sustainable development goals.
Detection of trisomy 9 mosaicism in the second trimester screening by abnormal level of biochemical markers
Authors: Salari Zohre , Moradi Arman , Moudi Mahdiyeh , Mousavi Zohre
Published: August 2024

Trisomy 9 is a rare chromosomal abnormality that occurs in both mosaic and non-mosaic states. The present study reports a case of mosaic trisomy 9 detected during pregnancy in a 41-year-old woman in the second trimester screening. Maternal serum screening results were used to diagnose a chromosomal abnormality in utero. The results were validated by karyotyping. High levels of alpha-fetoprotein and low levels of unconjugated estriol (uE3), human chorionic gonadotropin (hCG), and inhibin A indicate a high risk for chromosomal abnormalities, including trisomy 18. Amniotic fluid karyotyping revealed 47, XX, +9 (30)/46, XX (20) in the fetus. Because a high level (60%) of mosaicism for trisomy 9 in the fetus can affect many parts of the body, the pregnancy was terminated. It seems that a significant reduction in the levels of hCG and uE3 is an informative marker for the detection of chromosomal abnormalities such as trisomy 9.
The Impact of Intergenerational Care on Labor Supply for Children
Authors: Zhang Chunxu , Liang Yesheng , Yang Zhijing
Published: August 2024

At present, the aging population in our country is becoming more severe. Helping elderly parents take care of their children can increase the employment rate of young children and promote the growth of labor supply. This article conducted panel regression analysis using data from CFPS2010, CFPS2012, and CFPS2014, and conducted scalability analysis by gender and village. The results showed that women had a higher promotion effect on intergenerational care than men, and the promotion effect on urban users was also higher than that in rural areas. This article addresses endogeneity issues based on the indicator of whether parents are still alive, and conducts robustness tests through annual robust regression and linear probability models. Finally, based on the research conclusions of the model, this article proposes targeted policy recommendations for elderly care and realizing the social value of the elderly: recognizing the value of the elderly, encouraging harmonious family relationships, improving the supply structure through policies that encourage intergenerational care, and promoting employment rates.
The Effect of Memorization Method on Improving Students' Cognitive Aspects at Kemala Bhayangkari 03 Selong Kindergarten
Authors: Rohliana
Published: August 2024

Humans are born into the world equipped with motor skills that make it easier for humans to adapt to their environment as the beginning of the learning process to gain knowledge. A suitable method in teaching and learning activities will make it easier for students to adapt to the lessons presented so that they can be understood easily. Ultimately, the learning and educational goals will be achieved. One of the methods used to deliver lessons is the memorization method. This method is believed to be a form of assimilation of the child's brain with its new environment (new lessons or unknown theories). With the memorization method, students are expected to be able to remember new lessons or theories and then process them to the next level in the cognitive aspect. The problems that are the focus of this research are two kinds, first is about whether there is an influence of the memorization method on the improvement of students' cognitive aspects in Kemala Bhayangkari 03 Selong Kindergarten, and the second is the magnitude of the influence of memorization method on the improvement of students' cognitive aspects in Kemala Bhayangkari 03 Selong Kindergarten. The population of this study was 131 students of Kemala Bhayangkari 03 Selong Kindergarten, while the research sample was 50%, namely 66 people. Data collection techniques used are observation, questionnaire, interview and observation. The data analysis technique used is product-moment correlation statistical analysis. The study's results showed an effect of the memorization method on improving the cognitive aspects of students at Kemala Bhayangkari 03 Selong Kindergarten, although with a relatively low interpretation.
MANIFESTAÇÕES NEUROLÓGICAS APÓS PROCEDIMENTO ANESTÉSICO EM CÃO DOMÉSTICO COM CINOMOSE E TOXOPLASMOSE: RELATO DE CASO
Authors: Santomauro Rafael Alves , Marques Mariana da Silva , Perri Leonardo Javaroni , Balbino Letícia Santos , Suhett Weslem Garcia , Barreto Jerry Aparecido , Pinto-Ferreira Fernanda
Published: August 2024

A cinomose, doença imunossupressora de elevada letalidade, é causada por um vírus da família Paramyxoviridae, que acomete canídeos e outros carnívoros. Os sinais clínicos frequentemente associados à infecção são os gastrointestinais, neurológicos e respiratórios. A toxoplasmose é uma antropozoonose causada pelo Toxoplasma gondii, um protozoário de distribuição geográfica cosmopolita. Em cães, está comumente associada a doenças imunossupressoras. Fármacos anestésicos são capazes de alterar a homeostase celular, comprometendo o sistema imune dos pacientes. O presente estudo relata o caso de uma canina atendida em Hospital Veterinário Escola, no município de Londrina, Paraná, apresentando histórico de fotofobia bilateral, êmese, diarreia e úlcera ocular. Como tratamento, foi realizada a enucleação do globo ocular acometido, utilizando o seguinte protocolo anestésico: morfina, como medicação pré-anestésica; cetamina e propofol, como agentes indutores; e isoflurano, na manutenção. O bloqueio do nervo oftálmico foi realizado com lidocaína. Cinco dias após a cirurgia, a paciente retornou ao hospital veterinário, com queixas de quadro neurológico: opistótono, vocalização excessiva, movimentos de pedalagem e ataxia. Nas avaliações seguintes, foi confirmado, por exames moleculares, a infecção concomitante por T. gondii e vírus CDV. Não houve melhora no quadro clínico e o animal evoluiu a óbito. A imunossupressão causada por anestésicos e pelo CDV facilita a ativação de infecções latentes como a toxoplasmose, resultando em sintomas neurológicos graves e um prognóstico desfavorável ao paciente.
GERAÇÃO Z E INTRAEMPREENDEDORISMO: PERCEPÇÕES DOS EMPREGADOS EM GRANDES EMPRESAS, STARTUPS E DOS QUE ESTÃO FORA DO MERCADO DE TRABALHO
Authors: Peixoto Luiz Gustavo , Barros Neto João Pinheiro de
Published: August 2024

Este estudo é baseado em uma survey direcionada a pessoas da Geração Z (para fins deste estudo pessoas entre 16 e 25 anos) segmentadas em três públicos: pessoas que trabalham em grandes empresas, que trabalham em startups e que não estão no mercado de trabalho. O objetivo foi identificar o perfil intraempreendedor desses três públicos da Geração Z que está adentrando nas organizações e em breve deverá compor a maior parte da força de trabalho. A importância do estudo advém do fato de cada vez mais empresas buscarem empregados com esse perfil, o que vem valorizando os profissionais com qualidades intraempreendedoras, a fim de se tornarem mais competitivas por meio de pessoas com ideias inovadoras que enxerguem oportunidades e se arrisquem a pô-las em prática nas organizações em que são empregados. Os resultados obtidos indicam que os membros da geração Z que já estão trabalhando possuem traços do perfil intraempreendedor, que se incomodam com os modelos tradicionais de trabalho e que os Z que trabalham em startups têm a percepção de que esse tipo de organização, diferentemente das empresas convencionais, tende a atrair pessoas com características intraempreendedores da geração Z. Embora o estudo tenha como limitação o tamanho de sua amostra (91 respondentes), pode-se inferir que ambientes mais dinâmicos (startups) atraem e liberam os espíritos intraempreendedores da geração Z. Dessa forma, sugere-se estudos mais abrangentes cujos resultados possam ser generalizados e recomenda-se que as grandes empresas adotem ações que visem a reter os talentos da Geração Z empregados nelas.
EVA DAN ROE SEBAGAI DETERMINANT RETURN SAHAM
Authors: Masno Marjohan  , Akhmad Akbar  , Dewi Nurjana
Published: August 2024

Penelitian ini bertujuan untuk mengamati pengaruh EVA dan ROE baik secara parsial maupun simultan terhadap return saham. Jenis penelitian yang digunakan adalah penelitian kuantitatif. Data yang digunakan adalah data sekunder dengan tipe data panel, populasi yang digunakan adalah perusahaan indeks Sminfra18 dan sampel diambil dengan menggunakan metode Purposive sampling. Аnаlisis dаtа menggunakan аnаlisis inferensiаl stаtistic dаn аnаlisis Regresi data panel dengan E-views 9. Hasil penelitian menunjukkan bahwa secara parsial Eva tidak berpengaruh signifikan terhadap return saham, ROE berpengaruh positif signifikan terhadap return saham. EVA dan ROE secara simultan berpengaruh signifikan terhadap return saham.
Benefits of recombinant human brain natriuretic peptide to improve ventricular function and hemodynamics in patients with ST-elevation myocardial infarction.
Authors: Shi Dahuan , Li Xin , Yang Lantao , Luo Chunmei , Ma Jing
Published: August 2024

Abstract. This study aimed to assess the impact of recombinant human brain natriuretic peptide (rh-BNP) on ventricular function and hemodynamics in post-ST-segment elevation myocardial infarction (STEMI). We compared the outcomes of 65 STEMI patients treated with rh-BNP to an equal cohort given tirofiban following percutaneous coronary intervention (PCI). Data collected pre- and post-intervention included biochemical markers, TIMI (Thrombolysis In Myocardial Infarction) grade, hemodynamics, thrombotic score (TS), left ven-tricular ejection fraction (LVEF), high-sensitivity C-reactive protein (CRP) levels, liver and kidney function, and ECG. The TIMI level (p=0.03), the ratio of TIMI myocardial perfusion grade III (p=0.04), and the thrombus score (p<0.001) in the rh-BNP group after the intervention markedly exceeded those in the tirofiban group. After correction, the TIMI frame count (CTFC) (p=0.02), the incidence of slow flow (p=0.02), thrombus score (p<0.001), stent length (p=0.02) as well as times of administration of sodium nitroprusside medication in the rh-BNP group were markedly below those in the tirofiban group (p=0.01). Creatine ki-nase (CK) (p<0.001), CK-MB (p=0.01), and N-terminal pro-b-type natriuretic peptide (NT-proBNP) (p<0.02) in the rh-BNP group were markedly below those the in tirofiban group 24 hours after intervention; and the sum-STR (p<0.03) immediately after intervention markedly exceeded that in the tirofiban group. No significant differences were found in major cardiac adverse events (MACE) between the treatments. At the 30-day follow-up, rh-BNP showed a more effective enhancement of blood flow status, with the safety profiles of both treatments be-ing comparable. The findings suggest that the rh-BNP has significant potential for treating PPCI-related slow flow.
HYBRID PRACTICES IN EXHIBITING: WORKING WITH ARTISTIC HERITAGE IN THE MULTIMEDIA ERA
Authors: Курачева В.В.
Published: August 2024

В эпоху цифровизации инструментарий креативной индустрии меняется. Перед современными кураторами и участниками арт-рынка встает вопрос, как это влияет на экспонирование, работу с художественным наследием, какие возможности открываются и какие возникают проблемы в такой интеграции. Опыт гибридных практик будет раскрыт на примере тотальной выставки «Михаил Шемякин. Симфония цвета», проходившей в библиотечно-культурном центре «НОТА» с 6.04.2024 по 12.05.2024. Будут проанализированы ресурсы для диалога медиахудожника и современного «аналогового» художника, популяризации искусства для более широкой аудитории, в том числе привлечения молодежи.

In the era of digitalization, the tools of the creative industry are changing. Modern curators and art market participants are faced with the question of how this affects exhibition, work with artistic heritage, what opportunities open up and what problems arise in such integration. The experience of hybrid practices will be revealed using the example of the total exhibition “Mikhail Shemyakin. Symphony of Color” at the NOTA library and cultural center. Resources for dialogue between a multimedia artist and a modern analog artist, popularization of art for a wider audience, including attracting young people, will be analyzed.
FOLK ART CRAFTS OF THE LENINGRAD REGION IN THE MODERN ART MARKET (ON THE EXAMPLE OF OYAT CERAMICS)
Authors: Митина М.Н. , Горбунова Т.В.
Published: August 2024

На территории Ленинградской области существует большое количество очагов народного искусства. Оятский керамический промысел один из самых древних. Пройдя разные этапы своей истории, сегодня он находится на стадии возрождения. Однако в пространстве современного арт-рынка испытывает ряд трудностей. Решением этих проблем может стать комплексный подход с использованием ресурсов господдержки, научнопросветительской менеджмента.деятельности и инструментов современного арт

There is a large number of folk art centers on the Leningrad region territory. The Oyat ceramic is one of the most ancient. Having passed through different stages of its history, today it is on the stage of revival. However, there are some difficulties related to the modern art market. The solution to these problems can be an integrated approach using state support resources, scientific and educational activities and tools of modern art management.
AUTEUR FILM FESTIVAL AS A SEGMENT OF THE FILM INDUSTRY
Authors: Пальчик А.В. , Лекус Е.Ю.
Published: August 2024

Авторское кино нацелено не на широкую аудиторию, а скорее на самовыражение автора: здесь на первый план выходят самобытность киноязыка, субъективность видения социальных проблем общества. В современных реалиях такой киноматериал требует особых подходов в продвижении его на рынке. Одним из способов не только добиться коммерческих успехов, но и донести замысел творца до зрителя является участие в кинофестивалях. В статье рассматривается специфика этого сегмента киноиндустрии, а также выявление его преимуществ для отдельных участников (режиссера, продюсера, зрителя).

An auteur film is not aimed at a wide audience, but rather at the selfexpression of the author: here the originality of the film language, the subjectivity of the vision of social problems of society come to the fore. In modern realities, such a film material requires special approaches in promoting it on the market. One of the ways not only to achieve commercial success, but also to convey the creator's idea to the audience is to participate in film festivals. The article examines the specifics of this segment of the film industry, as well as the identification of its advantages for individual participants (director, producer, viewer).
Drinking from the Firehose?
Write More and Publish Less
Authors: Marcum Christopher Steven
Published: August 2024

Academia is undergoing a rapid transformation characterized by exponential growth of scholarly outputs. This phenomenon, often termed the "firehose problem," presents significant challenges for researchers, publishers, funders, policymakers, and institutions alike.
SUPERANDO BARREIRAS HISTÓRICAS
Authors: Dadda Mayara de Souza , Luce Maria Beatriz
Published: August 2024

Introdução: A Lei de Cotas é uma política pública educacional instituída no Brasil há mais de 10 anos, que visa democratizar o acesso de estudantes egressos de escolas públicas às instituições federais de educação superior e de ensino técnico por um recorte étnico-racial e de renda familiar per capita. Objetivo: Analisar progressos e desafios encontrados por universidades federais na aplicação do sistema de reserva de vagas, para avaliar se o grau de engajamento dessas com tal política promove a justiça social para os estudantes negros. Metodologia: Análise qualitativa de documentos oficiais relativos às cotas nas seis universidades federais com sede no Rio Grande do Sul. A coleta de informações foi realizada nas respectivas páginas institucionais, focando em resoluções dos conselhos universitários e normativas sobre ações afirmativas. A técnica de análise documental permitiu reconstruir contextos históricos e adicionar uma perspectiva temporal à compreensão social. Resultados: A aplicação da Lei de Cotas variou significativamente entre as universidades federais estudadas. Quatro  já adotavam políticas de ação afirmativa antes de 2012, enquanto outras duas implementaram tais medidas pela obrigação legal. Duas universidades mostraram avanços não apenas no acesso, mas também na permanência dos estudantes cotistas, aproximando-se das medidas transformativas de Fraser, que visam mudanças estruturais. Em contrapartida, duas ainda precisam avançar para além das medidas afirmativas de acesso, adotando políticas que assegurem a permanência e a diplomação dos estudantes. Conclusão: A implementação de ações afirmativas é crucial para a promoção da justiça social na Educação Superior. As universidades federais sediadas no Rio Grande do Sul apresentam diferentes níveis de engajamento com essas políticas, refletindo suas histórias e contextos institucionais. É essencial continuar avançando nas políticas de inclusão, garantindo não apenas o acesso, mas também a permanência e o sucesso acadêmico dos estudantes cotistas para construir um sistema educacional mais inclusivo e equitativo.
Translation as Rewriting in the Rendering of Classical Chinese Poetry: Pound’s Cathay
Authors: Mauro Viviana
Published: August 2024

The concept of translation as a form of rewriting, developed by André Lefevere, identifies translation as a textual adaptation based on a series of social and cultural factors. Therefore, the act of translating means rewriting a foreign text on the basis of local cultural and poetic norms. The purpose of this article is to apply the concept of rewriting in translation to the approach employed by Ezra Pound in his collection Cathay (1915), which has been chosen as a model to conceptualize the writer’s approach to the translation of Chinese texts. The first section of this article will focus on the different approaches employed in the translation of classical Chinese poems. Following a brief historical overview, two diametrically opposed translation methods developed at the turn of the 20th century, namely the Victorian method and Pound’s method, will be compared. The investigation on Pound’s translation methodology will be then discussed through the analysis of some of the poems included in Cathay. The findings of such analysis will allow for a deeper understanding of Pound’s method, and finally identify to what extent Pound translations (or rewritings) succeeded in painting a clear and unbiased picture of Chinese culture for his Western readers.
Teachers’ Strategies in Teaching English Vocabulary by Using the EWA Application
Authors: Kadir Meymin , Mamu Rahmawaty , Pilongo Jolanda H.D.
Published: August 2024

This study investigates teachers' strategies for applying the EWA application in the classroom. Using qualitative methods, data were collected from teachers through observation, interviews, and documentation. The documentation consisted of materials from teachers who used the EWA application, while structured interviews provided detailed insights into their experiences teaching English vocabulary with the app. The results highlight two main strategies: Cooperative Learning and the Clustering Method. In Cooperative Learning, students share and exchange vocabulary, promoting peer-to-peer learning. The Clustering Method involves using pictures to prompt students to identify related vocabulary, enhancing visual learning. Both strategies actively engage students and make learning enjoyable due to the EWA app's interactive and visually appealing features. However, internet connectivity issues pose challenges. Teachers utilize LCD projectors and computer labs to overcome these, ensuring that lessons proceed smoothly. This study concludes that using Cooperative Learning and the Clustering Method with the EWA application can significantly enhance student participation and enjoyment in learning English vocabulary.