bluuebunny/crossref_metadata_2025 huggingface dataset:
A study on bioaccumulation and translocation of toxic metals in different species of medicinal and aromatic plants
Authors:   National Research and Development Institute for Industrial Ecology-ECOIND, Anda-Gabriela Tenea , Cristina Dinu ,   National Research and Development Institute for Industrial Ecology-ECOIND, Gabriela-Geanina Vasile ,   National Research and Development Institute for Industrial Ecology-ECOIND, Alexandru-Paul Rus ,   National Research and Development Institute for Industrial Ecology-ECOIND, Mihaela Mureseanu ,   University of Craiova
Published: January 2024

The aim of this study was to evaluate, in a laboratory study, the accumulation of arsenic (As), cadmium (Cd), nickel (Ni) and lead (Pb) in the root, stem, leaves and flowers of some aromatic and medicinal plants grown on polluted soils. To carry out these experiments, the seeds of different plant species (Mentha piperita, Sinapis alba, Satureja hortensis and Thymus serpyllum) were planted in a mini-greenhouse, in universal soil (unpolluted). The seedlings thus obtained were transferred to pots containing soils polluted with metals (As, Cd, Ni and Pb) in different concentrations and combinations. The experiments were carried out over a period of three months. The concentration of metals in different plant organs (root, stem, leaves, flowers) was determined by inductively coupled plasma optical emission spectrometry. (ICP-OES). The accumulation of metals in plants was evaluated by calculating the translocation factor (TF) and the bioaccumulation factor (BCF).
Antioxidant activity and total phenolic compounds content of some selected vegetables
Authors:   University of Craiova, Cristina Babeanu , Maria Dinu ,   University of Craiova, Rodica Soare ,   University of Craiova
Published: January 2024

The purpose of the study is to evaluate the content of phenolic compounds and the antioxidant activity of some fresh vegetables from the local market. Recently, attention has been paid to plants phenolic compounds in the diet due to their role in maintaining health. The total phenolic content was determined colorimetric and the antioxidant activity was evaluated by DPPH radical scavenging assay. The results show that studied chemical indices vary depending on the analyzed vegetable. The studied vegetables show a high phytochemicals content and significant antioxidant activity and recommend their use as sources of phenolic compounds and natural antioxidants.
Erythromycin decreases photosynthetic pigments content in plants from the Brassicaceae family
Authors:   University of Craiova, Georgeta Ciobanu , Catalina Ionescu ,   University of Craiova
Published: January 2024

Young Brassicaceae plants grown on solidified nutrient solutions were exposed to erythromycin in their growth media at concentrations ranging from 10 to 40 mmol×L-1. At 7 days from the onset of the experiment, the plants were harvested, their growth parameters were evaluated, and the leaves were assayed for chlorophyll and carotenoids contents. The obtained results pointed out a dose dependent decrease of both chlorophyll and carotenoids contents in plants’ leaves. The plants exposed to erythromycin also had shorter stems and roots compared to control plants. A negative effect of erythromycin on photosynthesis, by inhibiting chloroplast protein biosynthesis, chloroplast assembly and function is discussed.
Degradation of Methylorange by Fenton Reagent
Authors:   University of Craiova, Madalina Dragoi
Published: January 2024

Synthetic dyes play a significant role in various industries, including textiles, paper, food, leather, cosmetics, and pharmaceuticals, with azo dyes being the predominant category. However, their widespread use has led to a pressing environmental issue due to the release of these dyes into wastewater, posing concerns for public health. To address this problem, numerous advanced oxidation processes (AOPs) have been devised, among which Fenton oxidation has gained prominence for its ability to break down these dyes. This review compiles the most recent research findings on the photo-Fenton and electro-Fenton degradation of methylorange (MO).
Literaturas y negritud en Chile: esbozos de una trayectoria larga de representaciones
Authors: Arre Marfull Montserrat
Published: January 2024

El presente artículo ofrece una aproximación a tres ámbitos que refieren a la presencia negra en la narrativa chilena: mostrar la época y el tipo de narrativa dónde han sido representados personajes de origen africano o negros (mulatos, zambos, morenos o esclavos) en la literatura desde mediados del siglo XIX para establecer una incipiente cronología; por otra parte, se pretende exponer los estudios críticos que han surgido en las últimas décadas que insertan el análisis de la negritud en la literatura chilena y, por último, daremos una breve pincelada sobre el tema de la autoría y la negación de las identidades negras en Chile. Se usa el término negritud (négritude) de manera consciente por dos motivos: en los textos literarios encontrados siempre se mencionan las poblaciones de origen africano con categorías racializantes y coloniales, categorías que la negritud quiso relevar porque históricamente se utilizaban de forma peyorativa, pero que permitieron provocar una reivindicación identitaria de lo negro y del origen africano, y, por otra parte, interesa rescatar el sentido reivindicativo de la actual crítica literaria que, habiendo “olvidado” en el canon literario chileno durante todo el siglo XX a autores(as) que dieron protagonismo a una diversidad de personajes racializados, en la actualidad se está generando una relectura de dicha escritura.
Alfabetizar no primeiro ano em tempos de pandemia da COVID-19
Authors: Rengifo-Herrera Francisco José , Medeiros Marques Yone Martins
Published: January 2024

A leitura como competência cultural requer instrução e ensaio para conduzir para aprendizagens e estratégias cognitivas complexas. Este artigo descreve os processos de aprendizagem e as estratégias de alfabetização em aulas online de 1º ano do ensino fundamental em uma escola pública durante a pandemia de COVID-19. Foram observados uma professora e cinco alunos em duas sessões online. Foi realizada uma análise microgenética dos processos de ensino/aprendizagem. Apesar do lockdown nas escolas, os resultados mostram como o planejamento do ensaio e a repe-tição, foram importantes estratégias dos professores para alcançar a alfabetização online. A análise e o planejamento das tarefas por parte da professora especialista indicam que as estratégias de ensino online orientaram as crianças para competências de alfabetização eficientes.
Enhancement of seedling quality in small cardamom (Elettaria cardamomum Maton.) through inoculation of VAM fungi and liquid microbial inoculants as PGPR
Authors: Divyabharathi D.  , C.S. Ravi , M. S. Nandish , Ganapathi M.
Published: January 2024

An experiment was carried out to evaluate the effect of liquid microbial inoculants on quality seedlings production in small cardamom at ZAHRS, Mudigere, Karnataka during 2020-21with nine treatments and three replications in CRD. The results of study revealed that, among the different treatments studied, combined inoculation of liquid PGPR (Azotobacter chroococcum, Bacillus megaterium, Bacillus mucilaginosus) and VAM recorded significantly maximum pseudostem height, pseudostem girth, number of leaves, leaf area, leaf area index, total chlorophyll content, total dry matter production, number of primary and secondary roots, root length, root thickness, root volume, total dry matter production, tillering percentage, Dickson quality index and volume index at 150 days after inoculation in the secondary nursery. Similarly, significantly higher microbial population in terms total bacteria, fungi and actinomycetes were observed in the nursery media with conjuctive use of liquid microbial inoculants and VAM.
ISSUES AND PROSPECTS OF INTERDEPARTMENTAL INTERACTION BETWEEN THE MINISTRY OF FOREIGN AFFAIRS AND THE FEDERAL NOTARY CHAMBER OF RUSSIA CONCERNING NOTARIAL ACTS EXECUTION ABROAD
Authors: GLUSHKOVA E.M.
Published: January 2024

This article analyses existing forms and proposes new potential ones of interdepartmental interaction between the Ministry of foreign affairs and the Federal Notary Chamber of Russia concerning notary services performed by consular officers in consulates of the Russian MFA.
Child Sexual Abuse and the Justice System in Pakistan
Authors: Muhammad Sohail Asghar  , Hafsa Naz
Published: January 2024

Child sexual abuse is a prevalent issue in developing countries, including Pakistan and its ubiquity has risen steadily over the years. Children, the most vulnerable segment of our society, must be educated and empowered to defend themselves against victimization by strangers, their family members, and teachers, especially in this age of globalization. In developed countries, the government is responsible to protect its citizens from such physical assault. Children who have suffered such abuse cannot develop normally on mental and psychological scale. This paper analyses the psychological implications of child sexual abuse in Pakistan with a special emphasis on the need for augmented legal and legislative procedures to expedite the administration of justice in such cases.
Receptivity of referral letters and partner notification practices for sexually transmitted infections among a population of men who have sex with men in South Africa: A qualitative study
Authors: Malefo Matshidiso Adelaide , Ayo-Yusuf Olalekan Abdulwahab , Mokgatle Mathildah Mpata
Published: January 2024

Although an effective public health strategy to control transmission of sexually transmitted infection (STI) and promote linkage to care exists, little is known about the receptivity of patient referral letters and partner notification (PN) among men who have sex with men (MSM). A qualitative study was conducted involving MSM enrolled in a clinical trial. Individual exit interviews were done with purposefully sampled participants (n = 23) at month 12 from baseline. The study was conducted at a research institute located in a poorly resourced community in Gauteng Province, South Africa. The themes that emerged from the data during thematic content analysis were reaction to STI diagnosis on receiving a referral letter, receptivity of the referral letter and partner notification, STI treatment and usefulness of a referral letter, experiences of accessing healthcare services, nurses’ attitudes towards the MSM, and the MSM’s recommendations for improving health services. The findings suggest that the MSM were receptive to referral letters, which they believed allowed for earlier and easier access to treatment and provided the opportunity to embrace safer sexual practices. Nevertheless, many felt it was challenging to inform their sexual partners due to some being in casual or multiple sexual relationships. Some reported experiencing discrimination from nurses while seeking treatment. This study anticipated that it would be of importance to policymakers when designing and implementing policies on patient referral letters and partner notifications.
Around meta-analysis (15): emerging Large Language Models (LLM) tools
Authors: Lagisz Magorzata
Published: January 2024

Systematic reviews (and meta-analyses based on a systematic review of literature) are extremely time-consuming. Anyone who conducted one in a rigorous and robust way can attest to this fact. Not surprisingly, researchers across disciplines have been looking for using computer algorithms and software to automate and accelerate systematic reviews of academic literature.
Resistência ao cisalhamento de lajes alveolares com alvéolos preenchidos: estudos nacionais e internacionais
Authors: Pessôa Poliana de Melo , Alves Larissa Fé , Jardim Pedro Ignácio Lima Gadêlha , De Almeida Diego Henrique , Christoforo André Luis
Published: January 2024

As lajes alveolares são elementos pré-moldados protendidos amplamente fabricados e utilizados em todo o mundo, comumente empregados como pisos e telhados estruturais. A resistência ao cisalhamento destes elementos é influenciada por uma série de fatores, tais como a intensidade real de protensão, a profundidade da laje, a presença de cobertura de concreto e alvéolos preenchidos. Nesse sentido, a adoção do método de reforço realizado por meio do preenchimento de alvéolos tem se tornado crescente nos canteiros de obra, devido principalmente à facilidade de execução. Dessa forma, tendo em vista a utilização crescente deste método de reforço, o objetivo deste trabalho foi realizar uma revisão dos documentos normativos e da literatura científica, a fim de compreender o estado atual da pesquisa e desenvolvimento de lajes alveolares com alvéolos preenchidos, com ênfase em seu desempenho ao cisalhamento. Para isto, realizou-se uma revisão da literatura, em bancos de dados nacionais, acerca de estudos brasileiros sobre o tema em questão em nível de pós-graduação. Similarmente, uma busca foi realizada na base de dados Scopus a fim de identificar os estudos em nível mundial.  Quanto às conclusões, destaca-se a complexidade na realização de estudos experimentais, o que pode justificar a escassez de artigos sobre o tema. Além disso, foram sugeridos possíveis ajustes no valor da normativa brasileira para contribuição dos alvéolos preenchidos na resistência ao cisalhamento. Observou-se maior eficiência na resistência ao cisalhamento na adoção de dois alvéolos preenchidos ao invés de quatro, bem como, com três alvéolos em vez de cinco. Destaca-se também a importância de investigações detalhadas nos materiais de preenchimento, diversidade nos métodos de pesquisa futura e a dificuldade na obtenção de amostras representativas. Por fim, recomenda-se o uso de métodos numéricos como alternativa para coleta de dados e redução da complexidade nos ensaios laboratoriais.
IMPACT OF FOOD SUPPLEMENTATION WITH RADIX ISATIDIS POLYSACCHARIDE ON QUALITY OF EGG, FUNCTION OF IMMUNE AND INTESTINAL HEALTH IN LAYING HENS
Authors: MANZOOR H , KHAN M , FARAZ A , IRFAN M , RIZWAN M , ALAM M , RAUF U , ZEB K , SOHAIL M
Published: January 2024

The introduction of dietary supplementation with Radix Isatidis polysaccharide explores the potential effects on poultry health, focusing on egg quality, immune function, and intestinal health in hens. The study's main objective is to find the effects of dietary supplementation with radix isatidis polysaccharide on egg quality, immune function, and intestinal health in hens.  The study employed a randomized controlled trial design to investigate the effects of dietary supplementation with Radix Isatidis polysaccharide on egg quality, immune function, and intestinal health in hens. 125 laying hens were included in the study and randomly assigned to experimental and control groups. The experimental group received a diet enriched with Radix Isatidis polysaccharide, while the control group received a standard diet without the supplementation. The study assessed egg quality parameters, revealing that the experimental group exhibited superior egg characteristics compared to the control group. The eggs from the experimental group had a higher weight (65g) and thicker shells (0.4mm) compared to the control group with egg weight of 60g and shell thickness of 0.35mm. Additionally, the yolk color was more vibrant in the experimental group (Yolk Color: 8) compared to the control group (Yolk Color: 6), and the albumen height was greater in the experimental group (Albumen Height: 10mm) than in the control group (Albumen Height: 9mm). It is concluded that Radix Isatidis Herbal Residue (RIHR), derived from the remnants of R. isatidis extraction, holds significant promise as a dietary supplement in laying hen production.
Indian traffic sign detection and recognition using deep learning
Authors: Kumaravel T. , E. Sathishkumar V , Natesan P. , Dharanesh S. , Hariharan G. , Krishnamoorthy N.
Published: January 2024

Traffic signs are a fundamental piece of transportation infrastructure and play a vital role in regulating traffic flow, enforcing proper driving behavior, and reducing the risk of accidents, injuries, and fatalities. An Intelligent Transportation System (ITS) must have the ability to automatically detect the sign and then recognise traffic signs which is to be effective. Automatic traffic sign detection is necessary. and is growing in significance with the advent of self-driving cars. This study introduces a brand-new deep learning-based method for identifying traffic signs in India. The proposed system utilizes a region-based convolutional neural network (CNN) to achieve automatic identification and recognition of traffic signs. The authors describe various architectural and data augmentation enhancements to the CNN model and take into account unique and challenging Indian traffic sign types that have not been previously discussed in literature. The system is trained and evaluated using a database of real-time images captured on Indian highways. The deep learning approach is utilized to work on the accuracy and precision of the system, determined to make automated driving automobiles.
The analysis of recommender systems: Attacks, sentiment analysis, evaluation and hybrid methods
Authors: Xu Yucheng , Mi Jiayi , Li Sirui
Published: January 2024

Attacks on recommender systems varies depending on the type of the recommender system being targeted. This paper will focus on the methods of attacks against Content-based and Collaborative Filtering recommender system. Sentiment Analysis is an important branch in the discipline of natural language processing, which is widely used in analyzing public opinion and recommendation systems. It is a computational study of the emotions, opinions and attitudes expressed by people about products, services, organizations, individuals, events, topics, etc. Sentiment analysis is a common application of natural language processing (NLP). Sentiment Analysis, also known as tendency analysis or opinion mining, is an important information analysis and processing technology. Its research purpose is to automatically mine the position, viewpoint, opinion, emotion, likes and dislikes in the text. Evaluating recommender systems refers to the process of assessing the quality and effectiveness of recommendation algorithms. This involves determining how well the systems are able to provide accurate and relevant recommendations to users, as well as measuring other important metrics such as coverage, diversity, and novelty. Hybrid recommender systems aim to address these limitations by combining different methods to make inferences more powerful. These systems can leverage multiple data sources, such as user behavior, item attributes, and contextual data, to offer personalized recommendations that meet the diverse needs of users. By using a combination of methods, hybrid recommender systems can overcome the limitations of individual algorithms and provide more effective recommendations.
Research on the current situation and development prospects of VR games
Authors: Long Zhenju
Published: January 2024

Virtual reality technology is used to display some objects in life through electronic informationization on an electronic screen. It can perform a spatial interactive experience through VR glasses, which can greatly improve the display effect of design sketches. Through the retrieval and inspection of related literature, this article proposes the latest and future development of VR games in the current society. First of all, this article wants to explain what VR is and then discuss the current achievements of VR and future expectations in the market. This article also wants to continue to let people know what areas VR can use in other fields other than the field of the game. This article finds that ordinary people have no reason to buy VR devices, so the current VR game's success in the current market is not as good as previous expectations. However, as more and more technology industries have begun to join the VR industry, the future of the VR game industry will expand.
Brain-computer interface technology for rehabilitation exoskeleton applications
Authors: Lin Liming
Published: January 2024

In recent years, the development of brain-computer interface (BCI) and exoskeleton technology has received more and more attention. Brain-computer interface, a technology that allows the human brain to communicate with electronic devices or computer programs, has potential applications in sports rehabilitation for the disabled and smart home control. Exoskeleton technology, on the other hand, provides humans with enhanced movement and strength, offering new possibilities for improving the quality of life for people with mobility disorders. Several applications of brain-computer interface and exoskeleton technology are discussed. Applications of brain-computer interfaces range from motor rehabilitation, allowing patients to regain control of paralyzed limbs, to controlling virtual environments and assistive devices. Exoskeletons, on the other hand, enable people with reduced mobility to walk again, providing them with more independence and function. This paper introduces the latest research progress of BCI and exoskeleton technology, including the latest breakthroughs in machine learning and artificial intelligence algorithms, which greatly improve the accuracy and speed of BCI control. Challenges such as developing lightweight and user-friendly exoskeletons and addressing safety and ethical issues in BCI applications are also discussed. The purpose of this paper is to provide a comprehensive and up-to-date reference for researchers and science enthusiasts interested in brain-computer interface and exoskeleton technology.
Common problems in file conversion and processing parameters of FDM 3D printer
Authors: Zhang Zhiwei
Published: January 2024

Fused Deposition Modeling (FDM) 3D printing technology is becoming increasingly popular in manufacturing and rapid prototyping. However, when using FDM 3D printers, one often encounters specific issues. This article summarizes common problems during file conversions and parameter settings with FDM 3D printers. Firstly, this article will discuss issues related to conversion from CAD model to STL file and STL file to Gcode. Secondly, we explore issues related to processing parameter selection and adjustments, including temperature settings, layer height, and print speed. By understanding these problems and their solutions, users can better tackle the challenges encountered using FDM 3D printers and achieve high-quality printing results.
Studies advanced in face recognition technology based on deep learning
Authors: Wang Zhaonian , Xu Yakui
Published: January 2024

Face recognition technology has always been a hot research topic in the computer vision community, and has developed rapidly in recent years. Face recognition aims to build a model and predict the face identity information in a given image, which has been widely used in various aspects of social life, such as identity authentication, security encryption, human-computer interaction, etc. In order to improve the accuracy and speed of face recognition, and how to maintain good face recognition under the premise of occlusion, many advanced technologies have been proposed. This paper summarizes the face recognition technologies proposed in recent years, and introduces the latest research progress in the field of face recognition from two aspects: traditional face recognition based on manual features and face recognition based on deep learning. Specifically, we first briefly introduce traditional face recognition methods. Second, we introduce the mechanism of traditional Convolutional Neural Networks(Hereinafter referred to as CNN) in face recognition. Finally, we focus on the application of Transformer in the field of face recognition. According to the datasets used by the methods introduced above, the performance of these methods is summarized, the advantages and disadvantages of CNN and Transformer are pointed out, and the future development direction is proposed.
Exchange rate prediction research based on LSTM-ELM hybrid model
Authors: Cao Xintong
Published: January 2024

The fluctuation of exchange rates holds paramount importance for a country's economic and trade activities. Due to the non-stationary and nonlinear structural characteristics of exchange rate time series, accurately predicting exchange rate movements is a challenging task. Single machine learning models often exhibit lower precision in exchange rate prediction compared to combined machine learning models. Hence, employing a combined model approach aims to enhance the predictive performance of exchange rate models. Both Long Short-Term Memory (LSTM) and Extreme Learning Machine (ELM) exhibit intricate structures, making their direct integration challenging. To address this issue, an innovative weighted approach is adopted in this study, combining LSTM and ELM models and further refining the combination weights using an improved Marine Predators Algorithm. This paper encompasses both univariate and multivariate prediction scenarios, employing two distinct allocation strategies for training and testing datasets. This is done to investigate the influence of different dataset allocations on exchange rate prediction. Finally, the proposed LSTM-ELM weighted combination exchange rate prediction model is compared with SVM, Random Forest, ELM, LSTM, and LSTM-ELM average combination models. Experimental results demonstrate that the LSTM-ELM weighted combination exchange rate prediction model outperforms the others in both univariate and multivariate prediction settings, yielding higher predictive accuracy and superior fitting performance. Consequently, the LSTM-ELM weighted combination prediction model proves to be effective in exchange rate forecasting.
A review of deep learning-based text sentiment analysis research
Authors: She Wanlu
Published: January 2024

The study of textual sentiments is a growing subfield of natural language processing. Research on deep learning-based text sentiment analysis approaches has received a lot of interest as machine learning technology has advanced. There are a variety of approaches to analyzing text for sentiment, but they may be broken down into three broad categories: those that rely on neural networks, those that introduce an attention mechanism, and those that rely on pre-trained models. In this paper, the author uses a literature review approach and CNKI as the search engine to examine previous studies on deep learning-based text sentiment analysis methods and models and to categorize the evolution of this field so as to aid in the development of similar studies in the future.
A study on search techniques in the game-tree
Authors: Zhang Shaojia
Published: January 2024

Artificial intelligence has developed a lot in the game field and search techniques on game-trees are essential for AI-game-playing. As many techniques for searching the game-trees have been published, the time consumption of search has decreased and the accuracy of it has increased. This paper would provide a comprehensive review of existing algorithms and improvements, including their mechanisms and performances. These techniques are first divided into two sections, techniques based on Alpha-Beta pruning and techniques based on Monte-Carlo tree search. Furthermore, techniques based on Alpha-Beta pruning are further subdivided into narrow window properties and information from previous searches based on the specific aspects they focus on. Finally, this paper concludes by summarizing the performance of these techniques and identifying their suitable application scenarios, as well as suggesting potential directions for future research.
Developments and progresses of meshing theory for gearing
Authors: Zhao Yaping , Ma Jiayue
Published: January 2024

Gear drive dominates in mechanical transmissions and has comprehensive advantages of high precision, high efficiency, high reliability, long life and the ability to realize large drive ratios. The main purpose of this article is to review research development in meshing theory, which involves the meshing theory of the one degree-of-freedom (1DOF) line-conjugate tooth surface couple, the 1DOF point-conjugate tooth surface couple and the two degree-of freedom (2DOF) conjugate tooth surface couple. Some compendious discussions are made on the significant results and progresses in meshing theory developments of gearing.
Uppvandring av ålyngel i Viskan – Årsrapport för 2023
Authors: Sjöholm Jonathan , Käll Filip
Published: January 2024

Södra Cell Värö är ett massabruk med produktion sedan 1971. Brukets dammanläggning vid Viskans mynning utgör ett vandringshinder för uppvandrade ålyngel. ”Viskans ålplan” bildades 1980 för att gynna ålyngeluppvandringen genom att omplacera ål från dammanläggningen uppströms inom Viskans avrinningsområde. Ålyngel samlas in vid dammanläggningen varpå mängden sammanställs. Denna data används för att estimera uppvandringen av ål till Viskan och för att visa på långsiktiga trender. Ålyngel samlades in under maj – oktober 2023 via ålyngelledare i dammanläggningen. Ålyngel vägdes och antal estimerades två gånger i veckan under undersökningsperioden. Fångsten av uppvandrande ålyngel har totalt sett minskat över tid från undersökningarnas början (1971), men något högre nivåer har noterats de senaste tio åren. Fångsterna för 2023 var 33,37 kg, en minskning med 3,5 % från föregående år. Vad förändringar i fångsten av ålyngel beror på kan inte denna undersökning besvara, men relevant i sammanhanget är att rekryteringen av ålyngel har minskat kraftigt i hela utbredningsområdet, som sträcker sig över flera kontinenter.
PRÁTICAS DO DISCLOSURE VOLUNTÁRIO SOCIOAMBIENTAL EM COOPERATIVAS DE CRÉDITO
Authors: Kuck Hannara Grellmann , Dos Santos José Alexandre , Dotto Fabiano , De Oliveira Vinícius Soares , Corrêa Nidian Souza Ribeiro , Dos Santos Luciana Martins Coelho , Vilalba Ana Carolina de Castro
Published: January 2024

O texto destaca as cooperativas de crédito como entidades sem fins lucrativos que visam fornecer crédito e serviços aos associados, diferenciando-se das instituições com fins lucrativos ao privilegiarem taxas de juros mais baixas. O movimento cooperativista teve origem no século XIX, e as cooperativas brasileiras surgiram em 1889, buscando desenvolvimento econômico e social. Baseadas em princípios cooperativistas, como adesão voluntária e gestão democrática, essas cooperativas buscam preservar o meio ambiente e valorizar o ser humano. A governança cooperativa enfatiza equidade, transparência e prestação de contas. No contexto empresarial, as cooperativas utilizam o disclosure socioambiental para divulgar ações, políticas e métodos, promovendo transparência e responsabilidade. A análise dos dados revela que as cooperativas divulgam mais informações sociais do que ambientais, com foco em treinamento de funcionários e remuneração do empregado. Embora as informações ambientais sejam breves, as cooperativas brasileiras demonstram preocupação com o meio ambiente. A pesquisa contribui para mensurar o disclosure voluntário socioambiental, destacando a importância do foco nas divulgações sociais devido aos princípios cooperativos voltados para a comunidade, e oferece uma métrica para avaliar esse disclosure.
The persistent underrepresentation of women in academic leadership
Authors: Hoyer Hans J. Hoyer
Published: January 2024

The persistent underrepresentation of women in academic leadership roles within science, technology, engineering, and mathematics (STEM) fields poses a significant challenge to achieving gender equity and diversity in higher education. Despite making noteworthy contributions to the field, they continue to face substantial barriers when seeking academic leadership positions. The lack of women in academic leadership roles in STEM is a multifaceted problem with far-reaching consequences. This dearth of representation not only hinders the progress towards gender equality but also perpetuates gender biases and stereotypes, creating an unwelcoming environment that discourages aspiring female scholars from advancing into leadership roles.
Quality engineering education through accreditation
Authors: Aung Zaw Min
Published: January 2024

The 4th Industrial Revolution causes uncertainty in the industry, academia and society as we are uncertain of the future of our jobs and what new disruptive technologies are coming. This pushes the academia to train engineers to be internationally bench-marked, practice without any borders and increase international mobility. The need for international bench-marking through accreditation of engineering education become crucial as engineers trained would be substantial equivalence in quality and standard.
Promoting educational equity and facilitating effective use of high-quality resources
Authors: Qian Jing
Published: January 2024

Massive open online courses (MOOC) have witnessed a surge in popularity in recent years, affording learners the convenience and adaptability to access top-tier educational resources. Despite the myriad advantages MOOC offer, the global and Chinese completion rates linger at a modest level. Recent data reveals a worldwide average completion rate of approximately 10%, underscoring the challenge of retaining learners throughout their enrolled courses. In China, a parallel scenario unfolds, with completion rates fluctuating around 5%–10%. This study delves into the examination of social-psychological factors contributing to China’s low MOOC completion rates. In study 1, we found a disparity in MOOC completion and scores between first-generation college students and non-first generation college students, and underpinned social threat as one contributing factor to this disparity. In the experiment, we nudge college students towards enhancing their participation and elevating completion rates within MOOC learning.
This research conducted a comparative analysis of two cognitive nudge methodologies, revealing the superiority of the value affirmation intervention over the reappraisal intervention. Moreover, hierarchical intervention strategies were recommended to enhance students’ learning experiences more efficiently.
Pan-Canadian Perspectives on Teacher Education: The State of the Art in Comparative Research
Authors: Morales Perlaza Adriana , Tardif Maurice
Published: January 2024

This text proposes a comparative analysis of the inter-provincial developments of the professionalization of teacher education in Canada, and focuses on two issues: governance of teacher education and the development of new training programs. More specifically, based on a literature review, we analyse how current comparative research brings an understanding of the professionalization of teaching in Canada and we argue the need for more comparative studies in this matter.
EVOLUÇÃO DA PAISAGEM E ADAPTAÇÃO DO TERRITÓRIO: O CASO DA PLANÍCIE DO RIO JACAREÍ APÓS O EVENTO EXTREMO “ÁGUAS DE MARÇO” DE 2011
Authors: Paz Otacílio Lopes de Souza da , Silva Erica do Nascimento , Paula Eduardo Vedor de
Published: January 2024

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Eventos extremos podem induzir transformações na paisagem que alteram de maneira irreversível dinâmicas ambientais locais e regionais. A planície do rio Jacareí, situada na parte central do litoral do Paraná, foi afetada em março de 2011 por corridas de lama e detritos após um evento extremo pluviométrico. Assim, objetiva-se analisar a evolução da paisagem da planície do rio Jacareí, por meio de mapeamentos multitemporais de uso e cobertura da terra, combinando ferramentas de Geoprocessamento. Verificou-se que a planície passou por uma progressiva perda de vegetação entre 1980 e 2003. A maior e mais extensa transformação foi induzida pelo evento de 2011. A tentativa de retornar ao padrão de uso e cobertura da terra anterior a 2011 intensifica impactos ambientais, demandando ações de ordenamento territorial compatíveis com a nova configuração de paisagem da área.

PALAVRAS-CHAVE: Uso e Cobertura da Terra; Ordenamento Territorial; Litoral do Paraná; Sensoriamento Remoto.
E-Challan Based Intelligent Assistance System for Smart City
Authors: Journal IJSREM
Published: January 2024

Traffic management and enforcement of road safety regulations have become increasingly crucial in modern urban environments, as the number of vehicles on the roads continues to surge. With the rise in traffic violations, particularly signal disobedience, there is a pressing need for innovative solutions that can efficiently detect and penalize offenders while reducing the burden on law enforcement personnel. The E-Challan System harnesses the power of cutting-edge computer vision techniques, most notably Automatic Number Plate Recognition (ANPR), to accurately capture and decipher vehicle number plates in real- time. High-resolution cameras strategically positioned at traffic junctions and signal intersections actively monitor passing vehicles, automatically detecting those that violate traffic signals. Upon successful identification of a signal violation, the E-Challan System promptly generates an electronic challan, or e-challan, containing detailed information about the violation, such as the date, time, and location of the incident. This comprehensive documentation serves as indisputable evidence of the offense and provides an essential legal foundation for imposing fines on violators. with an Auto Debit Fine mechanism.
Arduino Based Prolonged Suspicious Inactivity Monitoring of Old Aged People
Authors:   Delhi Public School, (Joka) South Kolkata, India, Pal Prodyumna
Published: January 2024

Abstract :The proposed framework includes the construction of a an astoundingly financially sharp and outrageous discernment device that fits at door frames in order to the moving in and out of a particular fundamental door of an old aged person and when suspiciously for too long the subject does not move out, it sends a notification to any of his family members or relatives about the matter to be of probable concern. It can be utilized in apartments as well as houses, where an old aged person lives totally alone, in case there is no caretaker and the adults of the family are staying apart, or even if children in their late teen age stay alone, or any solitary residents having potential medical or societal risks. The project is based on the concept of the Internet of Things (IoT), run by an open-sourced hardware – a microcontroller integrated circuit in the form of a circuit board named Arduino-UNO, where the centralized controller is an ATmega328 P Controller. The system includes an Ultrasonic Sensor as the key sensor, and a GSM 900 Module as sender of SMS. When it is sensed that the person have not moved from the particular door, tentatively the washroom door, because it is a must, for quite a long time like half a day or full, it sends an SMS to the pre-loaded contact number. IndexTerms - Monitoring, security, old-aged, remote, motion-detection, ultrasonic,IoT, arduino.
WOMEN EMPOWERMENT THROUGH SELF EMPLOYMENT (SHG’S) –WITH SPECIAL REFERENCE TO KURNOOL DISTRICT
Authors:   Assistant ProfessorSri Ramakrishna Degree & P.G College,  Nandyal, Kurnool District, KUMARI M. SRAVANI
Published: January 2024

Empowerment refers to the creation of an environment for women where they can make decisions of their own for their personal benefits as well as for the society. women empowerment refers to increasing and improving the social, economic, legal strength of the women to ensure equal right to women and to make them confident enough to claim their rights. The aim of this publication is to focus on women empowerment through self help groups. Women empowerment advocates for the equality in social status, political rights, financial stability and judicial system. There should be no disparity between men and women. The study revealed that micro-enterprises are a viable pathway for improving the economic status. Independent variables like education, income and mass media contact were positively and significantly related with the role of SHG’s
Demographic Dynamics in Investment Behavior: A Comprehensive Study on Gender, Occupation, and Financial Decision-Making Patterns
Authors:   Swami Vivekanand Subharti University Meerut, A.K.Tyagi Prof.(Dr.)
Published: January 2024

This study explores the intricate interplay between demographic factors, specifically gender and occupation, and various dimensions of investment behavior. A significant gender disparity in participation is acknowledged, emphasizing the need for equitable representation in financial research. The majority of participants perceive their investment knowledge as "Intermediate," underscoring a moderate level of confidence. The study investigates information sources, decision-making preferences, portfolio review frequencies, financial goals, and preferred investment types, unraveling nuanced patterns across genders and occupations. Findings reveal a shared reliance on "Financial News" and "Professional Advice" for investment decisions, with notable gender-based differences. Preferences for independent decision-making or financial advisor assistance exhibit balanced distributions. Weekly portfolio reviews emerge as a common practice, particularly in service occupations. "Wealth Accumulation" stands out as the dominant financial goal, though gender and occupation nuances surface. The most prevalent investment type is "Stock & Mutual Funds," with variations by gender and occupation. The study concludes by offering recommendations for tailoring communication strategies, enhancing educational initiatives, adopting client-centric approaches, and aligning products and services with diverse investor goals and preferences. By shedding light on these demographic dynamics, the study provides actionable insights for financial institutions, advisors, and policymakers seeking to better understand and serve the diverse needs of investors in an ever-evolving financial landscape.
Implementing Security in IOT Systems Via Blockchain
Authors:   Department of Electronics and Telecommunication, Bangalore  Institute of Technology, Bangalore, India., C.C Dhanush , Rajeshwari Dr. M ,   Department of Electronics and Telecommunication, Bangalore  Institute of Technology, Bangalore, India.
Published: January 2024

With today’s day and age rapidly going digital, the emergence of Internet of Things has become prominent and IoT systems are now being applied to almost every field. IoT systems can be seen being applied to fields such as healthcare, agriculture, manufacturing and many more. As IoT systems encompass numerous devices, each of these devices becomes a target for attacks and exploitation; thus, IoT systems have long been associated with issues related to security. Hence, making IoT systems secure and safe is of paramount importance. While Internet of Things has become a technology that is extremely widespread today due to the wide range of advantages it provides including scalability, dependence, and ease of access; the shortcomings and possible loopholes should also be accounted for. Currently a client/server model or a centralized model of networking in employed in IoT devices.These devices also use a single gateway to transfer data between them and connect through a cloudserver. This model has lots of shortcomings like high cost of centralized cloud maintenance and network equipment and the cost will continue to rise with the increase in the number of devices and the volume of data. Single gateway is not very secure as it allows gaining access to a whole IoT network by compromisinga single device. To tackle the issue of security, we propose the inclusion of blockchain technology. A Blockchainis a distributed ledger where data is stored across various nodes all over the world, this eliminatesthe single point of failure. This project proposes the plethora of benefits that blockchain technologyoffers and aimsto tackle the security aspect of IoT systems. Keywords: Blockchain, Internet of Things, Security
IoT Enabled Unmanned Ground Vehicle with Robotic ARM - UGVRA
Authors: Journal IJSREM
Published: January 2024

An Unmanned Ground Vehicle (UGV) is a battery operated remote controlled robot on wheels which is created with the preliminary function of moving around in an area and capturing visual information to carry out specific task at hazardous locations where human access is difficult. It can negotiate steep and gentle slopes, can travel through narrow corridors, and tow objects to reach risky regions. Using its robotic arm, it can elevate objects, move the objects to other positions of sites and move unnecessary objects out of its way. With IoT enabled feature it can be remotely controlled over the range. The integration of the Internet of Things (IoT) into the field of robotics has led to the emergence of a new class of technologically advanced machines capable of executing a wide range of functions, including remote control, live video streaming and autonomous navigation. The proposed Unmanned ground vehicle, for instance, is outfitted with a robotic arm and an ESP-32 cam module i.e. microcontroller that enables it to transmit live video footage and receive instructions from a user in real-time to perform a specific task with the help of a robotic arm. The purpose of the robot is to traverse a designated area, capturing and transmitting live video information that can be viewed by authorized personnel on a remote screen, thus facilitating the various actions as per the necessary requirements. The vehicle has extensive applications in sectors such as defence, healthcare, apartment security, and more. Key Words: Surveillance, monitoring, inspecting, Robot, IoT, IIoT, live video streaming, robotic arm.
Fingerprint Recognition System
Authors: Journal IJSREM
Published: January 2024

The abstract provides a brief study of the widely used technology that is fingerprint, discussing issues and challenges in the field. It highlights fingerprint databases and evaluation campaigns, specifically focusing on the Bio Secure Benchmarking Framework for Fingerprints. The framework utilizes the NIST Fingerprint Image Software (NFIS2) and the MCYT-100 database, employing two evaluation protocols. The abstract compares two research systems within the proposed framework, detailing their different approaches to fingerprint processing. Fusion experiments involving various combinations of these systems are discussed, and the NFIS2 software is used to obtain fingerprint scores for multimodal experiments conducted in the Bio Secure Multimodal Evaluation Campaign (BMEC’2007). Keywords—Computer graphics, Artificial intelligence, Image recognition, Fingerprint recognition.
ONLINE VOTING SYSTEM
Authors: Sahu Akshara
Published: January 2024

The advent of technology has ushered in a new era of innovation, impacting various facets of our lives, including democratic processes. The "Online Voting System" represents a paradigm shift in the way citizens participate in elections, leveraging digital platforms to enhance accessibility, efficiency, and security in the electoral process. This research paper delves into the design, implementation, and evaluation of an online voting system. It explores the key components, such as voter authentication, ballot casting, and result tabulation, while addressing the challenges associated with ensuring the integrity and confidentiality of the voting process. The study evaluates the system's robustness against potential cyber threats and analyzes the user experience to gauge its feasibility on a large scale. Additionally, the paper discusses the legal and ethical considerations surrounding online voting, examining the implications for inclusivity and voter turnout. Comparative assessments with traditional voting methodsshed light on the advantages and drawbacks of transitioning to an online model. The findings of this research aim to contribute valuable insights to policymakers, election commissions, and technologists, fostering informed discussions on the future integration of online voting systems into democratic processes. As societies evolve in the digital age, understanding the nuances of online voting becomes imperative to ensure the continued integrity and legitimacy of democratic institutions. Keywords :- Fingerprint based voting system, Online voting system, Online election system, AADHAAR ID based, E- Government Remote Voting Election Technology.