bluuebunny/crossref_metadata_2025 huggingface dataset:
Influence of bank slope on sinuosity-driven hyporheic exchange flow and residence time distribution during a dynamic flood event
Authors: Li Yiming , Schneidewind Uwe , Wen Zhang , Krause Stefan , Liu Hui
Published: April 2024

Abstract. This study uses a reduced-order two-dimensional (2-D) horizontal model to investigate the influence of the riverbank slope on the sinuosity-driven hyporheic exchange process along sloping alluvial riverbanks during a transient flood event. The deformed geometry method (DGM) is applied to quantify the displacement of the sediment–water interface (SWI) along the sloping riverbank during river stage fluctuation. This new modeling approach serves as the initial step focusing on the impact of the bank slope on the hyporheic exchange flux (HEF) and the residence time distribution (RTD) of pore water in the fluvial aquifer for a sinuosity-driven river corridor. Several controlling factors, including sinuosity, alluvial valley slope, river flow advective forcing and duration of flow, are incorporated into the model to investigate the effects of bank slope on aquifers of variable hydraulic transmissivity. Compared to simulations of a vertical riverbank, sloping riverbanks were found to increase the HEF. For sloping riverbanks, the hyporheic zone (HZ) encompasses a larger area and penetrated deeper into the alluvial aquifer, especially in aquifers with smaller transmissivity (i.e., due to increased hydraulic conductivity or reduced specific yield). Furthermore, consideration of sloping banks as compared to a vertical riverbank can lead to both underestimation and overestimation of the pore water travel time. The impact of bank slope on residence time was more pronounced during a flood event for high-transmissivity aquifer conditions, while it had a long-lasting influence after the flood event in lower-transmissivity aquifers. Consequently, the impact of bank slope decreases the travel time of water discharging into the river relative to base flow conditions. These findings highlight the need for (re)consideration of the importance of complex riverbank morphology conceptualization in numerical models when accounting for the HEF and RTD. The results have potential implications for river management and restoration and the management of river and groundwater pollution.
The Impact of Gender Disparities and Educational Attainment on Frugal Behaviour and Life Satisfaction among Private Sector Employees in India
Authors: Liao Nukelan , Sekhar Arjun
Published: April 2024

The study investigates the impact of gender disparities and educational attainment on frugal behaviour and life satisfaction among private sector employees in India. The research focuses on a convenience sample of 200 private organization employees, with an equal gender distribution and a mix of undergraduate and master's degree holders. The study utilized a frugality behaviour scale and life satisfaction scale to gather data, employing regression analyses and t test to examine the relationship between gender, educational qualification, frugality, and life satisfaction. The findings suggest that there is no significant gender difference in frugality but there is a significant difference in the levels of life satisfaction among private organization employees. Additionally, educational qualification does not have a substantial impact on frugality levels or life satisfaction. The study emphasizes the need for future research to explore the association between frugal living and life satisfaction in the broader context of India's cultural diversity, as well as the potential influence of frugality on mental health and overall life satisfaction. The research aims to contribute to the existing literature on workplace dynamics, gender equality, financial behaviour, and subjective well-being, with implications for organizational policies and interventions to enhance employee well-being and productivity.

Key words: gender disparities, educational attainment, frugal behaviour, life satisfaction, private sector employees, India.
Bonding Performance of Universal Adhesive in Different Etching Modes: A Review
Authors: Saraswati Dundage , K Dinesh , Shetty Nithin
Published: April 2024

The field of dentin bonding agents has evolved significantly over the past four decades as a result of the challenging pledge to use resin monomers to achieve better adhesion to dentin. A new class of adhesives known as Universal Adhesives (UAs) has been developed in response to the growing demand for user-friendly and simplified adhesive solutions. The word "universal" refers to the adhesives' ability to be used with a wide range of direct and indirect restorative materials, according to the producers, and can be applied with any adhesion approach that is with both the etch-and-rinse and the self-etch techniques. This review article highlights the chemical composition, function and mechanism of universal adhesion. It also reviews the potential of adhesion in both etch and rinse and self-etch mode for both enamel and dentin substrate and their clinical significance.

Key words: Universal bonding, Etching mode, Self-adhesive, Etch-and-rinse, Self-etch
Correlation of Hand Dominance, Hand Dimension, and Hand Span with Grip Strength and Pinch Strength in Normal Individuals: A Cross-Sectional Study
Authors: Shah Mayuri , J. Palekar Pramod
Published: April 2024

Background: Handgrip strength assessment helps evaluate the patient’s weakness and his or her progress during the rehabilitation phase and the effectiveness of the treatment. Grip strength is a clinical parameter used to assess nutritional status and physical capability. Hand dominance is an individual's preferential use of one hand, known as the dominant hand, due to it being stronger, faster or better in dexterity. Hand dimension and dominance may be associated with grip strength.
Aim: To identify the correlation between the handgrip strength with hand dominance, hand dimension and hand span in normal individuals. Individual hands differ in size and dimension, dominance, and span.
Methodology: This was a Cross-sectional study with sample size of 600. Duration of the study was 6 months. Age group of 18-64 years, normal BMI, 18.5-24.9kg/m2 and both genders were included in the study. Participants were categorized in 2 groups respectively, 18-36 years age group and 37-64 years age group. Hand grip, Pinch grip, Hand span and Hand length and width was measured bilaterally.
Results: Spearman’s test was used using MedCalc 18.2.1 Software.
Conclusion: This study concludes that there is positive correlation between Hand Grip strength and Pinch Strength with Hand dimension, Hand span and Dominance.
Current trends in digital transformation and their impact on the national economy
Authors: Abdullayev Kamran , Aliyeva Aygun , Ibrahimova Konul , Badalova Sevda , Hajizada Sevda
Published: April 2024

In today’s realities, digital transformation plays a very important role in the economic development of the country. This is due both to the high rate of scientific and technological progress and to the common within the economic relations, consumer preferences. Thus, it remains important to assess the impact of digitalization on the welfare of international and national economies. The research examines the current situation in Azerbaijan, one of the countries in which the principles of digital transformation are being actively implemented. The main research methods were analysis, induction, as well as methods of statistical data processing. The research assessed the main reason for the acceleration of the pace of digital transformation in the world and Azerbaijan, that being the beginning of the COVID-19 crisis. Although it was a problem for many companies at the initial stage, subsequently it allowed them to fit into the new economic realities. Thus, at the moment in Azerbaijan, there is a fairly well-developed system for managing the processes of digitalization. The national policy of the country is aimed at motivating enterprises to change the principles of their functioning into more innovative ones, which is quite well received by the institutions responsible for this. A particularly important role is played by financial and non-financial support for small and medium-sized enterprises, the provision of educational programs for citizens in terms of increasing literacy about the latest digital technologies, and the introduction of digital technologies in public administration processes, in which Azerbaijan has been able to achieve significant success. However, there are still various problems that require a solution from the authorities in the shortest possible time. Thus, this study brings new knowledge to the theory of modern digital transformation and allows us to consider the current state of the Azerbaijani economy in more detail
Basic principles of corporate social responsibility management under martial law
Authors: Yatsiv Ihor , Pavlenchyk Nataliia , Pavlenchyk Anatolii , Krupa Volodymyr , Yatsiv Svitlana
Published: April 2024

Corporate social responsibility is an integral element of the modern business model, especially for large companies. Effective management of this process ensures a positive result for both society and the business itself. Therefore, the study aims to substantiate the theoretical foundations of the management process in the context of corporate social responsibility, considering the military conditions in which Ukrainian business operates. To achieve this goal, a systematic approach and methods of analysis, comparison, deduction, comparison, and decomposition were used. The study analyses current approaches to understanding the corporate social responsibility of business. The main vectors in which the corporate social responsibility of enterprises is implemented are allocated. An author’s interpretation of the concept of corporate social responsibility management was formed. The basic principles of implementation of the communication policy for both the internal audience (company employees) and external stakeholders (partners, customers, society, the state) are formed and argued. The features and main directions of implementation of corporate social responsibility initiatives of Ukrainian businesses in the context of war are studied and highlighted. It is established that the priority of corporate social responsibility of companies in Ukraine is to ensure business continuity (allowing to pay salaries and taxes), ensure the safety of personnel (arrangement of bomb shelters, relocation of employees and their families), support for defence capability (various assistance to the Armed Forces of Ukraine) and assistance to territorial communities. The results of the study can be used by the business environment to form a management mechanism for implementing corporate social responsibility initiatives, as well as by the academic community that studies this issue
Choosing a mortgage lending model in the Kyrgyz Republic
Authors: Orozonova Azyk , Nazaralieva Bermet , Aitaliev Bakyt , Akmatova Aigerim , Kazakov Avaz
Published: April 2024

In the modern world, mortgage plays an important role in the life of the citizens of the country due to its important role in providing their housing needs. Thus, it is important to find the most effective model of mortgage lending for the country to maximize the living standards of its citizens. The aim of the work is to choose the most effective model of mortgage lending that can be used in the country and bring the greatest benefit to it. The main methods used in the research were analysis, deduction, induction, and abstraction. The paper examined various aspects of mortgage lending, focusing on the different payment models and their implications for borrowers. Two types of mortgage loans were considered: with annuity and differentiated payments, their main differences in terms of payment rates were described, and mathematical formulae for their calculation were specified. To illustrate the impact on the borrower of each of them, a theoretical example was provided, on the basis of which the differences between the two systems were described. The paper also describes three models for organizing mortgage lending systems: a closed (stand-alone) mortgage system, a truncated open model and an extended open model. The suitability of these models for the development of the Kyrgyz mortgage market was assessed based on their characteristics and features, positive and negative components. The work brings new knowledge in the context of studying the peculiarities of mortgage lending as a whole, as well as allows finding opportunities for improving its functioning in the Kyrgyz Republic
Measuring gender disparities in the intentions of startups to adopt artificial intelligence technology: A comprehensive multigroup comparative analysis
Authors: Al-Ayed Sura I. , Al-Tit Ahmad Adnan
Published: April 2024

This study examines gender differences in attitudes and intentions to adopt artificial intelligence among startup professionals. Utilizing a survey methodology encompassing responses from male and female participants, key constructs including attitude, perceived ease of use, perceived usefulness, and intention to use were analyzed through a comparative lens. The results reveal nuanced disparities between male and female perspectives on AI adoption. While minor differences were observed in the influence of attitude and perceived ease of use on adoption intentions, a significant gender gap emerged in the perception of how ease of use impacts perceived usefulness. These findings underscore the importance of recognizing gender dynamics in shaping attitudes and intentions towards AI adoption, highlighting the need for gender-inclusive strategies in fostering technology adoption among startups. This study contributes to the understanding of gender-specific considerations in AI adoption processes and offers insights for policymakers and industry stakeholders seeking to promote equitable and inclusive technological advancement.
Green finance and its impact on achieving sustainable development
Authors: Al-Afeef Mohammad Abdel Mohsen , Kalyebara Baliira , Abuoliem Nawaf , Yousef Amer N. Bani , Alafeef Mahmoud Abdel Muhsen Irsheid
Published: April 2024

This study aims to investigate the impact of green finance initiatives on achieving sustainable development goals in Jordan, with a specific focus on evaluating the effectiveness of green finance strategies in promoting environmental sustainability. The research applies the Autoregressive Distributed Lag (ARDL) method and assesses the connection of green finance, taken as the number of banks who increase the loan activity on ecology projects, and sustainable growth, given by the records of carbon releases. Relevant control variables involved in this consideration include income level, population, trade openness, and urbanization in addition to other factors that could otherwise cause a deviation which would generate biased results. The statistical tests show that green finance positively contributes to sustainable development in Jordan, and in the short- and long-term perspectives. Green finance and sustainable development have been a tightly connected two-way causality between them according to Dik and Panchenko's test, which implies that a virtuous cycle exists here. The results give extra weight and brilliant examples of the crucial role that green finance plays in the implementation of the sustainable development goals. It is this role that mainly enables reduction of carbon emissions in the world and mitigation of the negative consequences of climate change. They touch on the main issue of shaping the suitable conditions for green investment options and to create the interest for investing in sustainable development projects. This has become part and parcel of the green finance and sustainable development literature through the manifold of envisaged adjustments to our research design, a wide array of relevant control variables considered, and fully developed elaborated econometrics. It offers a direct response to the research gap by unfolding how becoming green finances takes place. This empowers the sustainable development outcomes in Jordan.
Novel UV Spectrophotometric approaches for the concurrent determination of Teneligliptin and Metformin in Tablet Formulation
Authors: Sen Dhanya B. , Sen Ashim Kumar , Zanwar Aarti S. , Dash Dillip Kumar , KP Greeshma , Angham Jenish , Maheshwari Rajesh A.
Published: April 2024

In the study simultaneous assessment of teneligliptin hydrobromide hydrate and metformin hydrochloride in tablets were developed and validated by four new UV spectroscopic approaches. The ratio difference approach was used to measure the variation in two selected amplitudes of ratio spectra, and the regression equation was employed to determine the amounts of pharmaceuticals. The second approach, known as the first derivative of ratio spectra approach, the UV spectra were transformed into their ratio spectra and corresponding first derivatives, and the first-derivative signal was gauged at 275 and 226.2 nm for metformin hydrochloride and teneligliptin hydrobromide hydrate, sequentially, making use of 2 nm as the wavelength interval (Δλ) and a factor of 1 as a scaling factor, respectively. Whereas absorbance subtraction method works with the principle of finding isosbestic point and calculating absorption factor. The fourth approach, known as the dual wavelength method, relies on computing the absorbance difference at two different wavelengths where the other drug has same absorbance. Linearity and range, specificity, accuracy, precision, limit of detection and quantification were among the criteria evaluated during validation of the new methods in agreement with ICH recommendations and found to be within the permitted limits. For both the medicines, a linear response was observed in all four methods over the concentration sequence of 2-12 µg/ml. Therefore, the proposed methodologies may be successfully used for the concurrent evaluation of teneligliptin hydrobromide hydrate and metformin hydrochloride in tablet form.
Eco-friendly HPLC Method for the determination of Ranolazine using Cyclodextrin as a green additive to mobile phase
Authors: Altinawe Yazan Sultan , Younes Ola Mahmoud
Published: April 2024

Background: Minimizing the amount of organic solvents is one of the main goals of green analytical chemistry; Therefore, a rapid, simple, sensitive, and environmentally benign method for the determination of ranolazine in bulk and pharmaceuticaldosage form was developed. Methods: The method based on using ethanol s a green solvent: (4mmol/L) sodium sulfobutyl ether-betacyclodextrin SBE-β-CD(pH in aqueous phase=4) (25:75)as a green mobile phase, C18 5𝞵 (4.6*150mm) InertSustain GL Sciences column at room temperature 35°C, the flow rate was 1mL/min, the photo diode array detector was set at 210nm and injection volume was 20μL. Results: The developed method was validated according to International Conference on Harmonization guidelines and showed good linear relationship over the concentration range of 50-150mg/L with the correlation coefficient was obtained R2 = 0.9999. The LOD and LOQ were found to be 1.91 and 5.81mg/L, respectively. The Precision was studied as intra- and inter-day with relative standard deviations not more than 2%, and the accuracy by mean recoveries ranged between100.1-101%. The percentage recoveries of active pharmaceutical ingredient from dosage forms ranged between 99.67 - 100.2%. Addition of cyclodexetrine derivative to the mobile phase, decreases the retention time tR of the compound by 64%, more over, it allowed the method to be greener by the ability to use high percentage of aqueous phase. GAPI and eco-scale were used to evaluate the greenness of the developed method. Conclusion: The results showed that the developed eco-friendly method is suitable for the precise, accurate and rapid determination of Ranolazine in bulk and tablet dosage forms.
Integration of Machine Learning and Iot based Multi-Layer Wireless Sensor Networks for Seamless Smart Home Automation
Authors: Padmavathy. P
Published: April 2024

The integration of machine learning algorithms with Internet of Things -based multi-layer wireless sensor networks offers a transformative solution to modern smart home automation and security. This paper seeks to explore both the Sensor Data Processing and Machine Learning Components used. In essence, the machine learning model leverages aggregate sensor data to improve the efficiency and safety of modern living environments. Through attention to detail during the preprocessing and feature engineering of sensor data, the system analyzed learned patterns of household activity, including motion intensity, door/window interactions, and normal occupancy. Subsequently, the features were utilized as input variables in a number of models, including Convolutional Neural Networks , Support Vector Machines, Recurrent Neural Networks, and K-Nearest Neighbors. By simulating both vacation and occupant mode, the models processed the available data using to detect potential threats or other deficiencies in the patterns. Overall the results led by the model suggest that the Convolutional Neural Network model is the best amongst all of the aforementioned algorithms. It demonstrated the best accuracy out of all the other models due to the advanced image processing and facial recognition features, solidified by its 98.56% accuracy rate in recognizing a potential intruder. Other models were also effective or reasonably accurate, with the following results: SVMs – 95.45%; RNNs – 93.4%; and KNNs – 91.23%. The evaluation process also involves the calculation of precision, recall, and F1 score, which also indicates the overall strength of the model. The aggregation of these results implies a considerable potential for internet-of-things systems in combination with machine learning methods to cultivate smarter and safer living environments.
Efficient Automated Model for Predicting and Detecting the Heart Disease Through Machine Learning
Authors: Parisha Parisha
Published: April 2024

Using machine learning, numerous researchers have created a variety of disease prediction models in the contemporary environment. By using prediction models early on, the death rate could be reduced. This work presents the design of an automated database diagnosis model using machine learning. Here, for study purposes, we chose one of the most common diseases, heart illness. This study presents the preparation of a database of patients with heart disease, followed by analysis in the produced database using a pre-trained machine learning model that was trained on the disease detection result that is displayed on the screen. To do the computation for prediction, a single logistic regression is utilized. Determining the risk of heart disease can be aided by early identification and prediction of the condition. Additionally, a comparison study might aid medical professionals in prescribing medication on time.
An Enhanced AES-ECC model with Key Dependent Dynamic S-Box for the Security of Mobile Applications using Cloud Computing
Authors: Nagaraj M Lutimath Maria Navin J R ,
Published: April 2024

The spectacular growth of computational clouds has drawn attention and enabled intensive computing on client devices with constrained resources. Smart phones mostly use the data centre demand service model to provide data to computationally intensive applications. It is challenging to outsource sensitive and private information to distant data centres due to growing concerns about data privacy and security. Therefore, conventional security algorithms have to be upgraded to address the brand-new security concerns that have emerged in the cloud environment. The Advanced Encryption Standard (AES) algorithm encrypts and decrypts messages using the four steps, namely Sub-Bytes, Shift-Rows, Mix-Columns, and Add Round Key. It has been changed so that the Sub-byte transformation depends on the round key. Making the S box round key dependent is intended to make it such that even a little change in the key will have a big impact on the cipher text. The avalanche effect and execution time of the standard and modified AES algorithms are implemented and assessed.  In order to suggest a safe and efficient solution, the study also aims to modify the shift rows and the mix column phases of AES. Using cryptographic techniques such as elliptic curve cryptography (ECC), several protocols and algorithms have been developed to guarantee the security and integrity of the data. The proposed solution combines the enhanced and updated The Advanced Encryption Standard (AES) technology with the ECC to guarantee data secrecy.  The avalanche effect approach is used in this study to explore and analyze the strength and quality of the new s-box. The results demonstrated that each encryption operation generates a unique cipher text. A strong avalanche effect was also achieved with the redesigned dynamic s-box using irreducible polynomials, surpassing the strict avalanche criterion (SAC). The results show that the proposed method ECC-EAESKDS Elliptic Curve Cryptography-Enhanced AES with Key Dependent S box is efficient and yields better results than the alternatives. According to the suggested security architecture, cloud users may control data protection and integrity in a secure manner.
Advanced Heart Disease Prediction: Deep Learning-Enhanced Convolutional Neural Network in the Internet of Medical Things Environment
Authors: Aarti Karandikar,
Published: April 2024

Using the large dataset from the UCI Machine Learning Repository, this study presents a state-of-the-art Hybrid Convolutional Neural Network (HCNN) for predicting heart disease. The HCNN design has convolutional layers, leftover blocks, and attention methods. These help pull more features from cardiovascular health data, even when the patterns are very complex. Utilizing these deep learning parts, the HCNN shows better prediction skills, getting higher accuracy, strong classification (AUC), and a fair F1 Score. Because the model can change to find complicated connections in the information, it could be used to make medical diagnosis better.  The HCNN is unique because it can instantly learn hierarchical structures from raw data. This lets it find hidden features that are important for accurately predicting heart disease. The convolutional layers help the model find local patterns, and the residue blocks stop problems with disappearing gradients, which makes training for deep designs more efficient. Attention processes make the network even more focused on important traits, which adds to its amazing ability to tell them apart. This work opens the door for researchers, doctors, and data scientists to use deep learning, and especially HCNN, to improve cardiovascular health analytics. This study takes a big step toward more accurate and efficient heart disease prognosis by giving a complete overview of the model's architecture and performance metrics. This opens the door for more research and use of advanced neural networks in the field of predictive medical diagnostics.
Flux Sensor Measurement and Calibration Requirements for High-Intensity Heat Flux Applications
Authors: McLaughlin Luke , Laubscher Hendrik , Schroeder Nathan , Armijo Kenneth , Konings Jorgen , Dolce Robert , Van den Bos Kees
Published: April 2024

Stakeholders of CSP and non-CSP high-intensity broadband flux measurements were surveyed and interviewed to obtain flux sensor design and calibration requirements. Existing sensor technologies and existing calibration facilities were then compared against this standard. Stakeholders require a flux sensor designed for >5,000 kW/m2 flux measurements, >1,000 life cycles, <500 ms response time, >60-minute exposure at maximum flux, and <5% measurement uncertainty. Stakeholders also require a sensor with minimal cost, short procurement lead time, and a high-intensity broadband flux calibration. Commercial CSP stakeholders primarily rely on infrared (IR) temperature measurements of receiver equipment to control CSP plant process operation, whereas CSP research and development (R&D) and non-CSP stakeholders rely on accurate flux gauge measurements for a variety of applications. It was determined that existing flux sensor technologies and calibration facilities do not comprehensively meet stakeholder needs. This study suggests a more robust circular foil gauge with a high-intensity solar flux calibration comprehensively meets stakeholder flux measurement needs. Improved circular foil gauge designs and an improved flux sensor calibration facility are discussed.
Exploring the Translation Patterns of “Ren”: Insights into Translation Practice from a Cross-Cultural Perspective
Authors: Yang Dan
Published: April 2024

The concept of rén is a central aspect of traditional Chinese political thought, with various translations in English literature. This study examines the translations of rén in Lectures on Traditional China’s Political Thoughts and analyzes the statistics and trends among these translations. The findings reveal a lack of uniformity in the translations of rén, indicating that different translators interpret the concept in various ways. Furthermore, the parts of speech used in the translations differ, reflecting the unique perspectives of local and overseas scholars. Through etymological interpretations, this study explores the meanings behind typical English translations of rén such as virtue, benevolent, morality, humanity, good, kind, love, compassion, authoritative, man of skill, perfect man, and gentleness. These interpretations shed light on the diverse understanding of rén in traditional Chinese political thought. Overall, this study provides a comprehensive overview of the translations and interpretations of rén, highlighting the complexity and richness of this fundamental concept in Chinese philosophy.
Fiction Undermining Theory: Vladimir Nabokov’s Lolita and Freudian Psychoanalysis
Authors: Ghyath Manhel Alkinani
Published: April 2024

The present article aims to show how this modernist novel resisted and actively undermined the overwhelming critical discourse of Freudian psychoanalysis that has dominated the critical and theoretical world of literary studies at the time. Although much has been said and written about the antipathy of Vladimir Nabokov to Sigmund Freud, very little has been written on what the novel has actively done in respect to reversing the epistemological power discourse that dominates the relationship of literary works to critical “theory.” The contribution of this paper is reading Lolita as an example of “applied literature,” i.e., a literature that anticipates, challenges, revises and undermines the critical theory that is supposed to read/analyze it. Theoretically, the paper benefits from contributions of scholars such as Shoshana Felman and Piere Bayard. The paper is sectioned into an introduction, a “classic” psychoanalytical reading of Lolita, a section that reviews and assesses the problems with such a reading, and a conclusion that sums up the findings of the study.
Reflections on research agendas in agroecology: In search of a practical guide
Authors: Perfecto Ivette , Vandermeer John
Published: April 2024

First paragraph: Dismantling the Capitalist Industrial Food System Should Be a Priority Food systems are crucial to the stability of our planet’s ecosystems and the future of humanity. The industrial capitalist global food system has generated multiple crises that pose a significant threat to the future of our planet. The environmen­tal, health, and social impacts of this system of agri­culture are multifaceted and well-documented. Pes­ticides poison us and destroy the world’s biodiver­sity (Ali et al., 2020; Beaumelle et al., 2023; Beketov et al., 2013; Kumar et al., 2023). Pesticides and fer­tilizer runoff pollute our water and create dead zones (Craswell, 2021, Diaz & Rosenberg, 2008). Greenhouse gas emissions from the global food system contribute up to a third of total global emis­sions (Crippa et al., 2020). Land concentration and land grabbing condemn millions to poverty (DeShutter, 2011). Food insecurity persists even as food production continues to increase (Long et al., 2020l; Müller et al., 2021). Not only is our current agri-food system environmentally and socially dam­aging, but it is also extremely cost-inefficient. Diet-related health problems, for example, overburden global public health systems and affect workers’ productivity, costing an estimated 9 trillion dollars annually (Food and Agriculture Organization [FAO], 2023). . . .
Equality Law Protection for Legal Education: Internships, Volunteering and Clinics
Authors: Blackham Alysia
Published: April 2024

‘Practical’ legal education offers significant educational and personal benefits. However, it also comes with risks that need to be actively managed, including the risk of students experiencing harassment and discrimination. This article considers the scope of equality law, and how it applies to different forms of ‘practical’ legal education activities. It considers how equality law applies to ‘volunteer’ positions, including those in law firm partnerships, barristers’ chambers, and community organisations, legal internships and law school-run legal clinics. It considers the complexity of the legal framework, and the resulting difficulties law students might have in asserting their equality rights. It argues there is a particular need to address three gaps in the current legal framework for practical legal education activities, by: adopting a broader definition of ‘work’ to include unpaid roles; regulating harassment on grounds other than sex; and protecting law students from the actions of third parties, such as clients and members of the public.
FORMAÇÃO DOCENTE NO CONTEXTO PANDÊMICO: AÇÕES DIDÁTICAS COM TECNOLOGIAS DIGITAIS E ESPAÇOS NÃO ESCOLARES
Authors: De Souza Brandão de Figueiredo Nícolas , Fernandes Nunes Janilse , Vestena Rosemar de Fátima
Published: April 2024

As questões sanitárias decorrentes da pandemia da Covid-19 efetivaram alterações nas relações de ensino-aprendizagem. Assim, as instituições de ensino reorganizaram-se didático-pedagogicamente para dar continuidade às atividades. Desta forma, estudantes e professores passaram a interagir por meio de ambientes virtuais de aprendizagem (AVA), tanto na modalidade síncrona, quanto na assíncrona. Este estudo, portanto, objetiva apresentar as potencialidades didáticas de tecnologias digitais (TD) na formação inicial de docentes para espaços não formais de ensino. Este trabalho é de abordagem qualitativa e documental, e foi desenvolvido junto a estudantes do curso de Licenciatura Plena em Ensino do Campo de uma universidade pública do estado de Goiás, Brasil. A proposta didático-pedagógica junto aos acadêmicos explorou, virtualmente, espaços não escolares (ENE) com vistas à conservação da fauna silvestre. Portanto, nesta pandemia, professores e estudantes desafiaram-se a ensinar, aprender e vivenciar a autoformação quase que exclusivamente valendo-se de meios virtuais. Outrossim, ampliaram-se as possibilidades de perceberem, construírem e de acesso a outros itinerários didáticos e recursos de estudo, como os ENE, valendo-se também, dos AVA.
O ROLE-PLAYING GAME NO ENSINO DE CIÊNCIAS/FÍSICA: POTENCIALIDADES PARA A EDUCAÇÃO CTS
Authors: De Brites Bruna da Rosa , Bagolin Zambon Luciana
Published: April 2024

O ensino de Ciências/Física tem passado por algumas dificuldades. Autores têm discutido que tais dificuldades estão relacionadas, entre outras, à fragmentação do conhecimento, à desmotivação dos estudantes no que concerne a aprender física, ao distanciamento entre o mundo da vida e o mundo da escola e à dificuldade em se consolidar uma cultura escolar de participação. Em contrapartida a essas problemáticas, é possível encontrar na literatura da área pesquisas que buscam o repensar dos currículos escolares através de temas, como é o caso das pesquisas envolvendo a Educação CTS. Essa perspectiva curricular visa, dentre outros objetivos, a alfabetização científica e tecnológica da população com vistas a uma maior participação pública na tomada de decisões no que concerne a CT. Nesse sentido, na intenção de colaborar e fortalecer o desenvolvimento de propostas balizadas na Educação CTS, a presente pesquisa busca responder ao seguinte problema de pesquisa: em que medida o Role-Playing Game pode contribuir para o desenvolvimento de propostas balizadas pela Educação CTS? Para tanto, realizou-se uma pesquisa bibliográfica na qual foram analisados trabalhos publicados em eventos da área de Ensino de Ciências/Física e de dissertações da área, através da análise textual discursiva. Neste trabalho, são apresentados e discutidos os resultados referentes a uma das categorias: discussão das interações entre Ciência Tecnologia Sociedade. Pudemos identificar que as atividades envolvendo a utilização de jogos de RPG auxiliam no desenvolvimento de discussões sobre as interações entre a Ciência, a Tecnologia e a Sociedade, além de promover o desenvolvimento de habilidades importantes ao exercício da cidadania e da construção de uma visão crítica sobre a Ciência e a Tecnologia.
DIFICULDADES E POTENCIALIDADES DO USO DA TEORIA DO DESIGN INTELIGENTE PARA DISCUSSÕES DE CARACTERÍSTICAS DA NATUREZA DA CIÊNCIA LEVANTADAS POR DOCENTES DE UM CURSO DE CIÊNCIAS NATURAIS E MATEMÁTICA
Authors: Azevedo Hernani Luiz , Orquiza de Carvalho Lizete Maria
Published: April 2024

Esta pesquisa intentou investigar quais limites e possibilidades se apresentariam quanto à compreensão da Natureza da Ciência (NdC), em discussões envolvendo a Teoria do Design Inteligente (TDI) protagonizadas por professores que atuam numa licenciatura em Ciências e Matemática. Para tanto, tomamos por referencial teórico princípios da Teoria da Ação Comunicativa, de Jürgen Habermas. Realizamos uma pesquisa de ordem qualitativa, cuja metodologia se aproxima da investigação-ação. Dentre os principais resultados, os docentes identificaram que a TDI faz proposições que podem servir de mote para discussões sobre o papel do naturalismo metodológico na ciência e assim contribuir para reflexões sobre a Natureza da Ciência. Contudo, foi apontado também que a utilização de tal teoria, devido à polêmica que a envolve, poderia provocar uma indesejável banalização, por parte da consciência pública, acerca da fundamentação do conhecimento científico.
ARGUMENTAÇÃO E ABORDAGEM CTS: UM OLHAR PARA A FORMAÇÃO INICIAL DE PROFESSORES DE FÍSICA
Authors: Galvão Idmaura Calderaro Martins , Assis Alice
Published: April 2024

Esta pesquisa foi desenvolvida com alunos do curso de licenciatura em Física, em que se investigou como eles elaboram sequências de atividades embasadas na Educação Ciência-Tecnologia-Sociedade (CTS), direcionadas a contribuir para que os estudantes da Educação Básica possam desenvolver argumentos em aulas de Física. Além disso, foram analisados os argumentos dos licenciandos sobre CTS no ensino de física. A pesquisa é de cunho qualitativo, cujos dados foram constituídos por um questionário aberto e pelas sequências de atividades por eles apresentadas. Para a análise dos dados, foram utilizados uma matriz de educação CTS e um modelo de Linhas de Raciocínio Argumentativo. Os resultados indicaram que as sequências de atividades por eles produzidas mostraram-se estruturadas nos parâmetros da referida matriz e que houve melhoria na qualidade dos seus níveis de Linhas de Raciocínio Argumentativo, evidenciando que a inserção de temas relacionados à argumentação e à educação CTS pode contribuir para a formação inicial de professores, pois eles elaboraram atividades que podem ser utilizadas em suas futuras práticas em sala de aula.
A INFLUÊNCIA DA DEFASAGEM EM TÓPICOS BÁSICOS DE MATEMÁTICA NA DISCIPLINA DE CÁLCULO DIFERENCIAL E INTEGRAL
Authors: De Menezes Alice Pereira Stellet , Fernandes Lethicia Emily Cardoso , Admiral Tiago Desteffani
Published: April 2024

A defasagem em tópicos básicos em matemática, e suas consequências no ensino superior, sempre foi objeto de estudo na literatura, especialmente agora com os desafios pós pandemia. Este trabalho descreve uma pesquisa realizada com professores da disciplina de cálculo diferencial e integral I, juntamente com o acompanhamento de uma turma de segundo período do curso de matemática nesta mesma disciplina. O trabalho teve como objetivo realizar um levantamento dos tópicos de matemática básica indicados como maiores entraves para o sucesso na disciplina de cálculo. A metodologia da pesquisa utilizada no acompanhamento da turma foi a observação não participante, e em relação à aquisição das opiniões dos professores foi aplicado um questionário semiestruturado, juntamente com entrevistas. Os resultados revelaram quais são os tópicos que os professores indicam como mais difíceis para os alunos e, acompanhando o desempenho dos alunos na disciplina, foi possível identificar até que ponto os tópicos apontados pelos professores realmente coincidiam com os problemas apresentados pelos alunos.
Parents Interest In Television Advertisements And Clarifying Intentions Of Their Children
Authors: Payasi Dr Sanjay , Tiwari Dr Deepak , Chansoriya Dr. Mukesh
Published: April 2024

Parents’ control over the amount and type of TV Programs viewed is a direct form of mediation. The nearness of a Parent as a review accomplice gives a further chance to intercession of program and publicizing content. Guardians and youngsters may trade remarks and guidelines may occur. The investigation might want to quantify the degree to which guardians' advantage, their co-seeing outcomes in their training youngsters about what is genuine and what is falsely made in TV promotions and helping them to learn solid shopper esteems. An endeavor would likewise be made to distinguish the connection between parent's confining youngsters' TV-seeing with parent's degree of co-seeing, instructive and money related status and the age and the sex of the kids in the urban and rustic territory of Madhya Pradesh
Video-game System for Improving the Balance of Ageing Adults with Intellectual Disability in Sheltered Workshop
Authors: Yan Wah Rebecca Mak
Published: April 2024

Objective: To explore the feasibility of using video game system for training to improve clinical measures of balance in ageing adults with mild to moderate intellectual disability (ID). Subjects and Methods: 16 adults diagnosed with mild to moderate ID, aged 40 or above and attending workshop were recruited to receive 21 sessions of 20 minutes video game training using HUR Balance Trainer BT4. Pre- and post-score of participants’ balance ability by Romberg test and limit of stability test were obtained. Wilcoxon’s test of SPSS was adopted to analyse the data of pre-and post-test to compare the differences. Results: Significant results were found in the pre-and post-data of “static balance score” and “leftward limit of stability”. Conclusion: The results revealed that video games could improve some aspects of the balance ability in ageing adults with mild to moderate ID. More in-depth research is needed.
Finite Element Analysis and Optimization of High Speed E-mobility Seal
Authors: Engin Baris , Kasim Hasan , Yazici Murat
Published: April 2024

Background: The use of electric vehicles is expected to increase day by day. The operating conditions of the rotary shaft seals used in the powertrain of electric vehicles are more challenging than those of internal combustion engines. The maximum operating temperature of seal used in electric vehicles is 150℃ and the maximum operating speed is 16,000RPM. It is impossible for a standard seal with a garter spring not to leak under these operating conditions, which has led us to turn to alternative designs. Objective: The objective of starting this study is to develop a new generation rotary shaft seal to be used in electric vehicles with finite element analysis (FEA) and optimization. Methods: During this study, finite elements, optimization and geometry development methods were used. First of all, alternative spiral knurled seal that can operate at high speeds was designed in this study. Secondly, our alternatively designed seal was tested to determine lifetime. Results: When we checked the results coming from test machines, the first design seal had approximately 5g of leakage at the end of 7 days. In the examinations made after the experiment, it was observed that the spirals were deleted at the end of 7 days. A finite element model of the first designed seal was created and radial load control was performed. When the radial load value obtained from the finite element model and the experimental radial load value are compared, it is seen that there is a deviation of around 4.3%. In the light of these data, the accuracy of the FEA model created in the Abaqus has been proven. The created finite element model was optimized within the boundary conditions with the help of Isight. A prototype of the optimized design seal was produced and a life-time test was carried out. The prototype seal of the optimized design had approximately 4g of leakage after 13 days under the same test conditions. Since the lifetime requested by the customer is 10 days, the optimization made on the seal is considered appropriate. The lifetime of the seal was approximately 95% improved. Conclusion: As a result, a new generation rotary shaft seal that can be used in electric vehicles, which is the aim of our study, has been developed. The prototype rotary shaft seal has been validated according to DIN 3761 specification.
Autoeficacia en niños de educación primaria y preferencia por un rol de profesor
Authors: Rodríguez Nieto Ma. Concepción , García García Joel , Peña Moreno José Armando , Sánchez Miranda Martha Patricia
Published: April 2024

Para mejorar el aprendizaje del estudiante, la política educativa actual propone el rol del profesor facilitador, y la autoeficacia esta consistentemente relacionada con su logro. De estos planteamientos surgen las preguntas ¿con cuál rol de profesor creen los niños escolares que aprenden mejor?, ¿cuáles son las relaciones del rol del profesor con la autoeficacia? El objetivo de este estudio fue explorar las relaciones entre estas variables. El diseño es descriptivo y correlacional con una muestra de no probabilística de 423 alumnos de 5o y 6o año de escuelas primarias. Para identificar la preferencia de los niños por un rol de profesor para aprender matemáticas se usaron caricaturas y se aplicó una adaptación al español mexicano de la Escala Multidimensional de Autoeficacia Percibida en Niños (Pastorelli et al., 2001). Los resultados muestran que el 47 % de los niños prefieren al profesor transmisor de información, el 50 % al facilitador del aprendizaje y el 3 % no respondieron o la respuesta fue sin clasificación. Aproximadamente la mitad (46-53 %) de los niños presentaron alto nivel de autoeficacia general y de sus componentes de autoeficacia: académica, de autorregulación y social y del 43 al 54 % un nivel bajo. El profesor transmisor de información y la autoeficacia general correlacionaron positivamente de manera baja con evidente la tendencia a la asociación entre estas variables.

DOI: https://doi.org/10.54167/tch.v10i2.574