bluuebunny/crossref_metadata_2025 huggingface dataset:
Moralidades territoriais e prostituição em Londrina
Authors: Santos Vinicius Henrique dos , Kulaitis Fernando
Published: November 2023

This research analyzes power relations in the urban space of the city of Londrina, Paraná, guided by street prostitution. The general objective is to identify sociospatial functions correlated to territorial moralities. It is based on a case study, centered on content analysis of news reports that sought to capture the tension between the residents of a residential neighborhood and a group of prostitutes who articulated themselves to perform their work during the daytime, in the face of restrictive measures of the Covid-19, which included the prohibition of the circulation of people without justification of essential or emergency health service between 11 pm and 5 am on the avenues and public squares. The results show a dimension of the production of segregation directly related to the stigma of "being a prostitute", with effects on urban vulnerability and the condition of sub-citizenship. Based on Elias' established-outsiders theoretical model, we develop the concept of territorial morality to make intelligible the moral panic triggered by the presence of prostitutes in a residential neighborhood. The final considerations demonstrate that the stigma of "being a prostitute" has a relevant morally disempowering territorial component that, by moving in forbidden territories, reinforces the hegemonic morality promoting socio-spatial segregation.

Esta pesquisa analisa relações de poder no espaço urbano da cidade de Londrina, Paraná, orientadas pela prostituição de rua. O objetivo geral é identificar funções socioespaciais correlacionadas a moralidades territoriais. A partir de um estudo de caso, centrado na análise de conteúdo de notícias que buscaram capturar a tensão entre os moradores de um bairro residencial e um grupo de prostitutas que se articularam para exercer seus trabalhos durante o período diurno, face às medidas de restrição da pandemia de Covid-19, dentre as quais a proibição da circulação de pessoas sem justificativa de serviço essencial ou emergencial de saúde entre 23h00 e 5h00 nas avenidas e praças públicas. Os resultados mostram uma dimensão da produção da segregação socioespacial diretamente relacionada ao estigma do “ser prostituta”, com efeitos sobre a vulnerabilidade urbana e a condição de subcidadania. Com base no modelo teórico estabelecidos-outsiders de Norbert Elias, desenvolvemos a noção de moralidade territorial para tornar inteligível o pânico moral acionado pela presença das prostitutas em um bairro residencial. As considerações finais demonstram que o estigma do “ser prostituta” tem um relevante componente territorial moralmente desabonador que, ao se movimentar em territórios interditos, reforça a moralidade territorial hegemônica promotora da segregação socioespacial.
Planejamento dos parques públicos: descompassos na implementação da Agenda Ambiental na Cidade de São Paulo
Authors: Casimiro Matheus de Vasconcelos , Lima Ana Gabriela Godinho
Published: November 2023

In view of the growing association of the potential of the green area system (SAV) to the mitigation of the effects of climate change in cities, the article focuses on the disarticulations that have made it difficult to take advantage of these potentials, represented by urban parks, in urban planning in São Paulo. From the comparison of priority areas, listed by the Strategic Master Plan of 2002, and what was developed in the management policy of the 100 Parks Program (2007-2012), a comparative analysis is made identifying the problem of public land, as well as the disarticulation between public regulatory instruments, some of the reasons for the municipality's inability to guide the location and distribution of urban parks in the context of the SAV in urban territory.

Tendo em vista a crescente associação dos potenciais do sistema de áreas verdes (SAV) à mitigação dos efeitos das mudanças climáticas nas cidades, o artigo focaliza os descompassos que têm dificultado o aproveitamento destes potenciais, representado pelos parques urbanos, no planejamento urbano de São Paulo. A partir da comparação das áreas prioritárias, elencadas pelo Plano Diretor Estratégico de 2002, e o que foi desenvolvido na política de gestão do Programa dos 100 Parques (2007-2012), é feita uma análise comparativa que identifica no problema da terra pública, bem como a desarticulação entre os instrumentos regulatórios públicos, algumas das razões para a incapacidade da municipalidade em orientar a localização e a distribuição dos parques urbanos no contexto do SAV em território urbano.
Urbanismo tático aplicado em uma “Ecozona”: um estudo de caso em Belo Horizonte, Minas Gerais
Authors: França Tiffany Nicoli Faria Latalisa , Faria Teresa Cristina de Almeida
Published: November 2023

We reflect on the possibility of restructuring public space through Tactical Urbanism from the case study of an intervention entitled "Ecozone": an extension of the useful area of Joaquim Ferreira da Luz Square, in the Santa Tereza neighborhood, in Belo Horizonte (Minas Gerais, Brazil) which took place during the COVID-19 pandemic in 2021. The aim was to discuss possibilities of recovering public space for pedestrians and cyclists and assess whether the intervention provided greater integration between citizens and public authorities. The used methodology involved theoretical research on the concept of Tactical Urbanism and practical action within this approach. Also, we did a documentary survey, field research, direct observation, photographic record, and there was direct participation of one of the authors in the process. In the end, the results show that the partnership between the different actors was essential to make the project compatible and modify its result according to citizen demands. And, for the collective context of building the “Ecozone”, there was also the opportunity to build collective intelligence from collaborative methodologies and the training and integration of actors who had the chance to work together in participatory processes of creation, dialogue and empowerment.

Refletimos acerca da possibilidade de reestruturação do espaço público por meio do Urbanismo Tático, a partir do estudo de caso de uma intervenção intitulada “Ecozona”: uma extensão do espaço útil da Praça Joaquim Ferreira da Luz, no bairro Santa Tereza, em Belo Horizonte (Minas Gerais, Brasil) que ocorreu durante a pandemia de COVID-19 em 2021. O objetivo foi discutir as possibilidades de recuperação do espaço público para o pedestre e o ciclista e avaliar se a intervenção proporcionou maior integração entre cidadãos e poder público. A metodologia utilizada envolveu pesquisa teórica sobre o conceito de Urbanismo Tático e ação empírica dentro dessa abordagem. Realizamos, também, levantamento documental, pesquisa em campo, observação direta, registro fotográfico, e houve participação direta de uma das autoras no processo. Ao final, os resultados apontam que a parceria entre os diferentes atores foi essencial para compatibilizar o projeto e modificar seu resultado de acordo com as demandas cidadãs. E, para o contexto coletivo de construção da “Ecozona”, surgiu a oportunidade também de construção de inteligência coletiva a partir de metodologias colaborativas e da capacitação e integração de atores que tiveram oportunidade de trabalhar juntos em processos participativos de criação, diálogo e empoderamento.
Velocidade veicular praticada em interseções urbanas: Análise Baseada em Dados Naturalísticos
Authors: Szeliga Rafael Alessandro , Chaves Bruno Henrique Suzuki , Nava Daniela Trentin , Bastos Jorge Tiago
Published: November 2023

Road safety is an important issue for several sectors of society, and the speed practiced by drivers of motorized vehicles is a risk factor for both the occurrence and the severity of accidents. The objective of this research is to identify the influence of road and environmental factors in the choice of speed by drivers of passenger vehicles in urban intersections through the collection of naturalistic driving data. A total of 780 conversion maneuvers were analyzed in the city of Curitiba and its metropolitan region (Southern Brazil). The statistical analyzes showed that the highest speeds during the turning movement are practiced in left turns, without vertical deflections and without rain. The situations of speed variation were more significant at tighter angles of intersections, on secondary roads, without the presence of speed bumps and with higher approach speeds (entry speeds from 40 km/h). The naturalistic data showed to be adequate for the study of speeds in turning maneuvers.

A segurança viária é tema importante a diversos setores da sociedade, sendo a velocidade praticada por condutores de veículos motorizados fator de risco tanto para a ocorrência quanto para a severidade dos sinistros. O objetivo desta pesquisa é identificar a influência de fatores viários e ambientais na escolha da velocidade por parte de condutores de veículos de passeio em interseções urbanas a partir da coleta de dados naturalísticos de direção. Foram analisadas um total de 780 manobras de conversão na cidade de Curitiba e sua região metropolitana (região sul do Brasil). A análise estatística mostrou que as velocidades mais altas durante o movimento de conversão são praticadas nas conversões à esquerda, sem deflexões verticais e sem chuva. As situações de variação de velocidade foram mais significativas em ângulos mais fechados de interseções, em vias secundárias, sem a presença de deflexões verticais e com velocidade de aproximação mais altas (a partir de 40 km/h). Os dados naturalísticos mostraram-se adequados para o estudo das velocidades em manobras de conversão.
Photomodulation of strigolactones in mediating sunflower seedling growth
Authors: Bharti Niharika
Published: November 2023

Plants produce a large variety of non-proteinaceous biochemicals through primary and secondary metabolism. These compounds may act as signaling molecules, plant hormones, growth regulators (other than hormones) or as protectants from parasitic infections. In various attempts by scientists world over, a number of novel plant growth regulators have been discovered in the recent past. Over the past decade interesting information has been obtained on the biosynthesis, photomodulation and physiological roles of strigolactones (SLs) which are derived from carotenoid biosynthesis route. Adequate evidence is now available on their actions through transport to the target sites in the plant system. The regulatory roles of strigolactones have further been observed to be modulated by light in more than one ways. Present investigations report the photomodulation of strigolactones (SLs) in sunflower seedlings growth at their early developmental stages (2d, 4d, 6d). These observations indicate the migration of a probable light-sensitized signaling molecule (yet to be identified) or a SL precursor from light exposed aerial parts to the seedling roots maintained in dark. Thus, a photomodulation and migration of SL precursor/s is evident from the present work.
Deep learning hyperparameter’s impact on potato disease detection
Authors: Asfaw Temesgen A.
Published: November 2023

In this study, we reviewed various published works that used deep learning techniques to detect potato leaf disease. Deep learning techniques have shown remarkable detection performance for potato leaf disease. In particular, CNN has been shown to be efficient in extracting features from images and in identifying patterns that are challenging to identify using machine learning techniques. However, CNN architectures with different activation functions, batch sizes, and optimizers can cause different results. Therefore, in this work, a CNN model has been implemented to analyze the effect of different activation functions, batch sizes, and optimizers for the detection of potato leaf diseases. Based on the findings of three experiments, the leaky rectifier function performed best as the activation function for the convolutional neural network (CNN) model. AdaGrad’s optimizer showed superior accuracy compared to stochastic gradient descent (SGD), Adam, Adamax, and RMSProp algorithms. We also discovered that the model’s performance was even better, but only when the batch size used in the model was smaller than the size of the test dataset. The work is based on deep learning to identify potato leaf disease and provide researchers and practitioners with heuristic knowledge to help increase potato production when CNN is employed in the agricultural sector.
Customer churn prediction using machine-learning techniques in the case of commercial bank of Ethiopia
Authors: Asfaw Temesgen
Published: November 2023

The number of service providers is increasing rapidly in every business. These days, there is plenty of options for customers in the banking sector when choosing where to put their money. As a result, customer churn and engagement have become one of the top issues for most of the banks. In this paper, a method to predict customer churn in a Bank using machine learning techniques, which is a branch of artificial intelligence, is proposed. The research promotes the exploration of the likelihood of churn by analyzing customer behavior. random forest (RF), logistic regression (LR), gradient boosting classifier (GBC), extreme gradient boosting classifier (EGBC), and light gradient boosting machine classifier (LGBCMC) are used in this study. Also, some feature selection methods have also been done to find the more relevant features and verify system performance. The experimentation was conducted on the churn modeling dataset from Kaggle. The results are compared to find an appropriate model with higher precision and predictability. As a result, using the Random Forest model after oversampling is better than other models in terms of accuracy. The experimental result shows that the Light Gradient Boosting Machine classifier outperformed with an accuracy of 98%, a precision of 97%, and a recall of 100%, with an AUC of 99% than other proposed supervised machine learning algorithms with balanced datasets across all evaluation metrics.
Data analysis and machine learning-based modeling for real-time production
Authors: Prabha S. C. , Sivaraaj P. , Lakshmi S. Kantha
Published: November 2023

This article focuses on data analysis and real-time data modeling using linear regression and decision tree algorithms that might make revolutionary predictions on production data. Factual time data points, including temperature, load, and warning on all the presented axis, are the dependent parameters which be contingent on the changes in the autonomous paraments like load. Monitoring and innovative prediction are very much needed in industry as there are recurrent load changes that would create a data drift and, in terms of maintenance, that could impact the production side, the need for continuous monitoring and control. Machine learning-based approaches would work better on these real-time production datasets
River flow modeling for flood prediction using machine learning techniques in Godavari river, India
Authors: Shukla Shobhit , Mishra Suman , Goel Gaurav
Published: November 2023

Floods are highly impactful natural calamities, inflicting significant damage to infrastructure and causing numerous fatalities. These devastating events occur when rivers exceed their capacity or breach their banks due to intense precipitation.Forecasting river flow in the minimum Godavari river basin of eastern India allowed researchers to examine the potential of four data-driven techniques, including the artificial neural network (ANN), support vector machine (SVM), nonlinear autoregressive network with exogenous input (NARX) and Gaussian process regression (GPR), and compare the outcomes to those of the proposed neuro-tree method. By combining values of the antecedent river flow from two gauging stations, various models were built utilizing the methodologies, and the results were compared to see which models had the best match. The performances of the generated models were examined using mean square error, coefficient of correlation (R), and Nash-Sutcliffe coefficient, three widely used statistical performance assessment metrics (NS).An extensive analysis of the overall performance indicators revealed that the proposed neuro-tree algorithm models were more effective in flood prediction than the other four techniques employed in this study.
Analyses of water quality using different physico-chemical parameters: A study of Saryu river
Authors: Sadanand Maurya  , Manikant Tripathi  , Karunesh Kumar Tiwari  , Awadhesh Kumar Shukla
Published: November 2023

Saryu river is considered the holy river in Ayodhya, Uttar Pradesh, India. But, due to human anthropogenic activities, water quality is deteriorating. The present study aimed to analyse physicochemical parameters with seasonal variations, and bacterial population to monitor river water quality using standard methods. Most of the physicochemical parameters (mainly pH, DO, BOD and TDS) were found with in permissible limits recommended by regulatory authorities. Other parametrs like chemical oxygen demand (COD) and total suspended solids (TSS) values were slightly excess of the permissible standards. Microbial analyses were carried out, that showed the presence of bacterial and fungal populations. Bacterial count was higher in rainy season followed by summer and winter seasons. The findings of this study can be useful to monitor the water quality in different seasons, for drinking and irrigation purposes.
In-vitro study on the antidiabetic property of Pisonia grandis
Authors: Mohan J. , Kumar R. Arun
Published: November 2023

The prevalence of diabetes seems to be growing, and many people report unfavorable reactions to currently available antidiabetic drugs. The use of ethnomedicinal plants has the potential to provide cost-effective and safe alternatives to conventional diabetic treatments. This in-vitro investigation aims to investigate the antidiabetic properties of Pisonia grandis. The extract’s cytotoxic potential on HepG2 cells was evaluated using the MTT assay. Additionally, it investigated its impact on glucose metabolism in HepG2 cells and its ability to inhibit enzymes like alpha-amylase and alpha-glucosidase. Both doses of plant extract caused less than 50% cell death. The extract was more effective than berberine in enhancing glucose uptake by “HepG2 liver cells”. When compared to the positive controls, the crude extract did not affect alpha-amylase, protein glycation, collagenase, alpha-glucosidase, DPP-IV, or lipase. P. grandis exhibits hypoglycaemic effects that may operate independently of insulin, suggesting its potential as an antidiabetic agent.
Social science education based on local wisdom in forming the character of students
Authors: Aldina Fauzi , . Yusrizal , Setiawan Deny , Taher Alamsyah , Jamil Teuku M.
Published: November 2023

This research was conducted to determine the impact of project-based learning with local wisdom in teaching social science subjects to increase critical thinking ability moderated by students’ self-efficacy. This experimental research employed a quantitative approach utilizing a probability sampling technique with a clustered sampling method to select particular groups within a population. Thus, as a sample, class XI IPS 2 was chosen as a control group and XI IPS 3 as an experimental one. The test results showed that each of the instruments was valid and reliable and met the classical assumptions. The indicated that project-based learning with local wisdom moderated with good self-efficacy can improve critical thinking ability. The integration of project-based learning with local wisdom into learning is necessary so that the methods applied by teachers not only focus on academic results but also inculcate the values of local wisdom. Therefore, it would be better if teachers at every level could integrate an approach to learning that incorporates local wisdom
Impact of social networking sites on adolescent alienation and depression with special reference to Facebook usage
Authors: Dogra Nupur , Sharma Shaveta
Published: November 2023

Social networking sites, especially Facebook, have become common among adolescents and young adults. The use of Facebook enable enables users to make new friends, to establish and/or maintain relationships and to respond, comment and share information. Despite its social and innovative features, there has been increasing concern regarding its negative consequences on psychological and social well-being among adolescents and young adults. In light of this, the current study focuses on Facebook usage and its relationship with depression and alienation among adolescents. The study’s findings indicate that Facebook usage has a positive and significant relationship with alienation but is negatively correlated with depression. Further, it was also found that alienation and depression would contribute to the prediction of Facebook usage of adolescents both independently as well as conjointly
E-commerce in the B2B market: solutions for the point of sale
Authors: R Sudha , Indira B , Kalidas M , Krishna Kalluri Rama , Reddy M. Jithender , Prasad G.N.R.
Published: November 2023

B2B marketing is challenging, presents itself in a very competitive market, and adds to it high sales volumes, greater capacity for expansion, and the possibility of maintaining truly strengthening partnerships for years, which are beneficial for the growth in the market in which it is inserted. The aim of this work is to analyze the subject of a small business and the use of Internet marketing tools in the given subject with the aim of revealing dysfunctional elements, proposing changes in the use of online marketing tools and marketing strategy and thus improving the effectiveness of the ongoing advertising campaign. The work deals with determining attitudes towards online shopping among potential customers using a questionnaire and obtaining a statistical interpretation of data, which is important for categorizing customers into target groups, taking into account the price and product policy of the store. This data is used to create an appropriate pricing policy and to target advertising. Also in the practical part, the task is to analyze the existing promotion of the company using Internet marketing tools and propose changes
Python-based social science applications’ profiling and optimization on HPC systems using task and data parallelism
Authors: Prabagar S. , Nassa Vinay K. , M Senthil V. , Abhang Shilpa , Adivarekar Pravin P. , R Sridevi
Published: November 2023

This research addresses the pressing need to optimize Python-based social science applications for high-performance computing (HPC)systems, emphasizing the combined use of task and data parallelism techniques. The paper delves into a substantial body of research,recognizing Python’s interpreted nature as a challenge for efficient social science data processing. The paper introduces a Pythonprogram that exemplifies the proposed methodology. This program uses task parallelism with multi-processing and data parallelismwith dask to optimize data processing workflows. It showcases how researchers can effectively manage large datasets and intricatecomputations on HPC systems. The research offers a comprehensive framework for optimizing Python-based social science applicationson HPC systems. It addresses the challenges of Python’s performance limitations, data-intensive processing, and memory efficiency.Incorporating insights from a rich literature survey, it equips researchers with valuable tools and strategies for enhancing the efficiencyof their social science applications in HPC environments.
Assessment of noise levels by using noise prediction modeling
Authors: Santosh Kumar Sahu  , B. R. Senthil kumar  , Y. Aboobucker parvez  , Ashish Verma
Published: November 2023

The third-most dangerous type of pollution, after air and water pollution, according to the World Health Organization, is noise pollution. Brief and prolonged exposure to noise pollution can have negative consequences on people, including psychological disorders, including anxiety and depression, hypertension, hormonal imbalances, and a rise in blood pressure that can result in cardiovascular disease. The WHO estimates that up to 40% of individuals in Europe are currently exposed to loud noises. This study makes an effort to predict noise levels in and around the School of Architecture and Planning (SAP) campus using data on traffic volume and flow, vehicle speed, and geometric mean of the road. Additionally, it does a comparison between the expected and actual noise levels and offers workable noise reduction techniques. A mathematical model that takes into consideration has been used to forecast the equivalent noise level. By comparing the expected and actual noise levels, it was found that all values are beyond the permitted limits. Five different locations within SAP were used to assess the amount of noise present. The Lobby recorded the highest and lowest noise levels, respectively, at 75.63 and 74.15 dB (A). There were 73.05, 71.01, 71.81, and 70.5 dB (A) accordingly as the strongest noises in the classroom and auditorium. The maximum noise levels in the library was 63.76 and 64.54 dB (A), respectively. A maximum noise level of 75.29 and 68.14 dB (A) was recorded for the studio.
Exploring the therapeutic implications of nanoparticles for liquid tumors: A comprehensive review with special emphasis on green synthesis techniques in the context of Dalton’s lymphoma
Authors: Kumar Naveen , Vikram Delu  , Tarsem Nain  , Anil Kumar  , Pooja  , Arbind Acharya
Published: November 2023

Nanoparticles (NPs) have emerged as promising tools for treating and diagnosing various diseases, including cancer, human immunodeficiency virus (HIV), and immune-related diseases. Multiple reviews have been published compiling the effects of NPs on different illnesses. However, a few reviews are available regarding the impact of NPs on liquid tumors. Therefore, this review aims to advance knowledge in this direction by drawing conclusions from research on Dalton’s lymphoma (DL), a type of T-cell lymphoma, for the therapeutic implication for liquid tumors. NPs synthesized from both metals (such as silver, gold, copper, and zinc) and nonmetals (such as silica, selenium, polymer, and lipid-based) have been tested for their anticancer efficacy against DL. These NPs reduce the viability of DL cells in a dose-dependent manner by inducing apoptosis. In mice, NPs increase the lifespan, reduce tumor growth, and restore the normal physiology and structure of organs such as the liver, spleen, and kidney. NPs synthesized from plant sources or through some chemical compounds proved effective in reducing the cytotoxicity of NPs. This review will provide basic information on DL and discuss the various types of NPs used against it, their significance for therapeutics of T-cell lymphoma or liquid tumors and conclude with some major findings that can guide future research in this field. By synthesizing the latest research on NPs and DL, this review will serve as a valuable resource for researchers and clinicians alike in their efforts to combat liquid tumors.
Nanoparticles as illuminating allies: Advancing diagnostic frontiers in COVID-19- A review
Authors: Naveen Kumar  , Renu  , Suresh Kumar Gahlawat  , Kumar Anil , Delu Vikram , Pooja  , Anand Shekhar , Suresh Chandra Singh  , Arbind Acharya
Published: November 2023

Nanoparticles (NPs) have emerged as indispensable tools in the fight against the coronavirus disease (COVID-19) or severe acute respiratory syndrome coronavirus 2 (SARS-Cov2) pandemic, finding extensive utilization in both diagnosis and therapeutics. Their ability to interact with the virus and host cells in diverse manners positions them as valuable assets for detecting, treating, and preventing COVID-19. In this comprehensive review, a detailed summary of the state-of-the-art NP-based diagnostic methods for COVID-19 has been presented, particularly important classes of gold nanoparticles (GNPs), magnetic nanoparticles (MNPs), quantum dots, liposomes, silica nanoparticles (SNPs), silver nanoparticles (AgNPs), zinc oxide nanoparticles (ZnO-NPs), and carbon nanotubes (CNTs) delineating and their inherent strengths as well as limitations. Additionally, the challenges and opportunities that have been addressed lie ahead in pursuing future advancements and clinical translation of NP-based technologies for diagnosing COVID-19.
Study of hybrid fuel injectors for aircraft engines
Authors: A Sivasankar G.
Published: November 2023

This project is based on the fuel injectors initially; a multi-hole injector is designed and then the single-hole injector is attached andconverted to a hybrid injector, which is the hybrid combination of multi-hole and single-hole injector which could be controlled electrically.All these processes are done with software. Solid works is used for designing and ANSYS is used for analysis of the 3D model. The massflow rate, pressure and velocity through the inlet and outlet is better when compared to other nozzles. This hybrid fuel injector hasthe added advantage of good atomization, providing better nozzle combustion. Then, the nozzle is used to operate a range of fuels,including JETA, kerosene, gasoline, diesel, and cryogenic fuel. Using the nozzle, each fuel exhibits various properties in terms of pressureand velocity. The designs are subjected to fluid flow simulation using ANSYS. Particularly, the liquid fuel are injected with very highpressure and velocity in order to atomize the fuel to form a homogeneous combustion. The present design is done for low viscous fue
Abuse of Dominant Position in the Realm of the Professional Sports Industry
Authors: Batas Ambica , B.N Udayakumara Ramakrishna
Published: November 2023

The abuse of dominant position by sports regulators is a concerning issue that can significantly impact the integrity and fairness of sports competitions. Sports regulators, who are entrusted with maintaining the balance and promoting fair play within the industry, may sometimes exploit their authority to gain an unfair advantage or control over certain aspects of the sports landscape. When sports regulators abuse their dominant position, several detrimental consequences may arise.Competition law plays a crucial role in ensuring a fair and open market, free from anti-competitive practices. In recent years, there has been increasing attention towards applying competition law principles to oversee the actions of sports regulating bodies. This article aims to explore the potential of competition law in preventing sports governing organizations from abusing their monopoly power. It is imperative that the sports industry and the sports regulator function in an anti-competitive manner and avoid abuse of the powers instilled in them. It delves into suitable legal frameworks, examines relevant cases, and discusses the impact of enforcing competition law within the sports industry. The results highlight the significance of competition laws in fostering equitable competition, safeguarding athletes’ rights, and sustaining a dynamic and competitive sports landscape.
Corporate bonds vis-a-vis bond market: Global economy
Authors: S Suresha
Published: November 2023

Corporations issue corporate bonds, which are then sold to investors as debt to raise capital. Both the firm and the investor gain from this arrangement since the company gets the capital it needs, and the investor receives interest payments at a set or variable rate. Even in the early aftermath of the financial crisis, it is conceivable to consider corporate bond markets as a vital component of economic development, financial stability, and economic recovery, especially in the short term. A vital source of capital financing, they give companies the funds they need to expand and develop, create jobs, and offer the products and services that society requires to prosper. Following the global financial crisis, structural changes in the financial industry have boosted the demand for liquidity among corporate bond investors to levels well over the market’s capacity to provide it during stressful periods, as this research found. To get a whole picture of the corporate bond market, this research looked at all phases of growth as well as the connection between the corporate bond market and the rest of the global economy.
Impact of the pandemic (COVID-19) on the financial performance of selected Indian telecommunication sector
Authors: Bi Zohra , Hameed Abdul , Bi Sogara
Published: November 2023

Financial performance is an important measure investors use to assess the firm’s financial position and health for a given period. It evaluates the company’s overall performance and progress and determines its potential future growth, structure, and effectiveness. The COVID-19 pandemic has impacted all industries across the globe. The study examines the impact of the Pandemic (COVID-19) on the financial performance of chosen Indian Telecommunication companies. It evaluates the financial performance during the pre-Covid and post-Covid periods. The study covers Indian firms listed in NSE from the Telecommunications Sector. The study examines the financial performance of five parameters of 10 firms from the Telecommunications sector for two years before the Covid-19 Pandemic and after the Covid-19 Pandemic using paired t-tests. The study will help investors, shareholders, regulators, and policymakers by analysing the Indian Telecommunication sector.
Serum Zinc and Copper Levels in Obese Adolescents
Authors: Chandrashekhar Anitha , Bembalgi Shivali , Malebennur Santhosh K.
Published: November 2023

Background: Childhood obesity has been called one of the most serious public health challenges of the 21st century. Zinc is one of the essential trace elements. Zinc plays a role in immunity, wound healing, cell growth and division, carbohydrate breakdown, and function of many enzymes and transcription factors. Copper is a component of antioxidant enzymes that acts to protect the body against the action of free radicals. It especially has a role in cardiovascular disease. An increase or decreased in the levels on copper deleterious effect on metabolism.Objective: To estimate serum zinc and copper levels in obese adolescents.Methods: A cross-sectional study was carried out on JSS Hospital in Mysuru among obese adolescents from 11 year to 18 years visiting the pediatric department as an inpatient or outpatient basis from November 2019to December 2021. The subjects with BMI<95th percentile were enrolled in the study.Results: 51 individual with BMI<95th percentile were enrolled in the study. There is a relation between trace elements and obesity. 30 out of 51 (58.8%) of them have Deficit Zinc levels. The correlation between serum zinc and obesity was established by Pearson’s correlation (0.2) . But difference is not statistically significant. [p-value>0.05] 31 out of 51 (60.7%) of study subjects had excess copper . Obese adolescents of age group 13-16 years have excess copper with male predominance, the correlation between serum copper with obesity was established by in the adolescent’s population by Pearson’s correlation (0.1), of Mysuru district, Karnataka, India.. Our study was not statistically significant. (p-value >0.05).Conclusions: Our study concluded that 58.8% of study subjects had zinc deficiency and 60.7% of study subjects had excess copper, co-relation was established between serum zinc and copper with obesity in the adolescents population of Mysuru district, but the study was not statistically significant.
The Use of Guided Imagery Therapy for Insomnia Prevention in the Elderly: Literature Review
Authors: Fitriani Neneng Kurnia , Susanto Tantut , Kurdi Fahruddin
Published: November 2023

Background: Insomnia is a common disorder among the elderly population. Appropiate of insomnia management will reduce the health risks during treatment. Guided imagery therapy is important to reduce anxiety, muscle contraction, facilitate good sleep, improve sleep quality and prevent insomnia in the elderly. Aim: The purpose of this study was to describe the use of guided imagery therapy for prevention of insomnia in the elderly. Method: Narrative literature review was performed to select article that relate with guided imagery therapy for prevention of insomnia in the elderly using search engines including PubMed, Scopus, Springerlink, Scienderect, and Google Scholar. The analyzed of articles was carried out using four stages based on the PRISMA Flowchart diagram. Results: The results were indicated six of articles that analyzed in this study. Guided imagery therapy is a relaxation technique performed by imagining a peaceful and pleasant scene, event or object to help stimulate the body's natural relaxation response. All of the articles reviewed show that guided imagery can be used as a non-pharmacological therapy in the management of sleep disorders in the elderly because it has been shown to be effective in improving sleep quality and preventing insomnia in the elderly. Conclusion: The applied guided imagery therapy has a significant effect on reducing insomnia in the elderly. Therefore, guided imagery therapy could be used as an intervention to prevent insomnia in the elderly.
Persepsi Siswa terhadap Keterampilan Berkomunikasi Guru dalam Pembelajaran di SMK Negeri 9 Padang
Authors: Arsela Maria , Syahril Syahril
Published: November 2023

This research is based on the results of observations made by the author during observations at SMK N 9 Padang, from the observations made it appears that there are still teachers who have poor communication skills in learning. This research aims to obtain data and information regarding how good the communication skills of teachers at SMK N 9 Padang are in learning according to students' perceptions seen from several aspects: 1) conveying messages orally, 2) conveying messages in writing, and 3) receiving messages. Therefore, the problem that will be studied in this research is, "How good are the communication skills of SMK N 9 Padang teachers in learning according to students' perceptions". This research is a quantitative descriptive study with a research population of 1268 students and the sample size was determined using the Slovin formula with an error rate of 10% with the Proportionate Stratified Random Sampling technique obtaining 95 students as the research sample. The instrument used in this research was a questionnaire with a Liker scale model. From the results of data processing, teachers' communication skills in learning when conveying messages orally obtained an average score of 3.6 in the good category, for teachers' communication skills in learning when conveying messages in writing, they obtained an average score of 3.4, which was in the quite good category. , and for teachers' communication skills in learning when receiving messages, they obtained an average score of 3.5 in the quite good category. Overall it can be concluded that the teacher's communication skills in learning at SMK N 9 Padang are in the quite good category.
Status and potential role of rangeland insect pollinators for pastoralist livelihood diversification in northern Tanzania
Authors:   , Thomas Faith
Published: November 2023

Pollinators provide ecosystem services that support other living organisms. However, they are currently threatened by land use changes including habitat fragmentation. In Tanzania, Maasai rangelands are under pressure from population increase, habitat fragmentation and decline in grazing areas that cause overgrazing. Little is known about local Maasai knowledge on pollinator communities and how they are affected by grazing management in semi-arid rangelands in Tanzania. Semi structured questionnaires, key informant interviews and focus group discussions were used during the survey in order to understand local knowledge of insect pollinators. Findings revealed varied pollinator identification skills, with males having higher skills (χ 2 = 6.319, P = 0.042) compared with females. Honey bee, Apis mellifera was the most important pollinator as reported by 93% of males and 78% of females. Beekeeping contributed to livelihood diversification for 61% of respondents, with women participating more frequently in this activitiy than men (χ 2 = 46.96, P = 0.0001). Ultraviolet (UV) white, yellow and blue pan traps were used to trap insects in four different grazing management, namely private and communal enclosures, wet and dry season grazing areas. Pan trapping was further supplemented by a standardized sweep netting method. Findings showed that environmental factors and grazing management affected insect pollinators. Insect abundance, diversity and richness varied with seasonality, whereby the mean number of insect abundance was significantly higher (χ² = 136.77, P < 0.0001) during the wet (148 ± 70.57) compared with the dry season (17 ± 7.14). Moreover, flower abundance (χ² = 3.5, P = 0.05) and percentage herbaceous cover (χ² = 5.99, P = 0.015) influenced pollinators. Private enclosure management category contained significantly more pollinators (χ² = 27.63, P < 0.001) compared with the communal dry grazing area. The study also investigated pollinator-plant interactions to understand the foraging preference of bees and other pollinators. Aspilia mossambiensis and Justicia debile were the most preferred plants. The most common visitors were honey bees and butterflies. Pollinator networks showed that enclosures contained larger networks compared with open rangelands. The study concludes that the Maasai community have limited knowledge of pollinator ecosystems services. In addition, traditional range management especially the use of enclosures is an important tool towards the conservation of insect pollinators in semi arid rangelands threatened by overgrazing and degradation
Management skills as a factor of business competitiveness
Authors: Álvarez Contreras Diana Esther , Montes Padilla José David , Osorio Martínez Cristian David
Published: November 2023

Managerial skill is a crucial factor in the formation and performance of effective leaders. This capability fosters strategic alignment in organizational management, especially in adapting to market changes, which has driven new ways of managing, controlling, executing, assessing, and making decisions to achieve operational and mission-related objectives in companies. This article sought to analyze the importance of managerial skills as a key element of business competitiveness. A descriptive qualitative approach was used, drawing from freely accessible electronic documents. The results focus on three main themes: managerial skills as a competitive strategy, fundamental skills of a manager for business competitiveness, and managerial skills as a factor of competitiveness. The findings suggest that companies increasingly require management staff with knowledge, experience, and skills that allow them to achieve objectives and business success. Managerial prowess is, therefore, an essential aspect to foster competitiveness in the corporate realm.
The Role of Christian Religious Education Teachers in Shaping Student Character Through Peace Education and Conflicts Resolution Among Students
Authors: Talakua Martha Anthoneta
Published: November 2023

Peace education has emerged as one of the main factors for reducing conflicts among students, although its implementation in various Indonesian schools was limited. This qualitative study incorporated a literature review and aimed to investigate the role of Christian Religious Education (CRE) teachers in addressing conflicts among students by integrating peace education into CRE learning. Data were collected through observation and interviews. The results showed that the likelihood of both internal and external conflicts decreased when the teachers played a good role in educating students. Moreover, peace education constituted a long-term, effective effort against a culture of violence, specifically when implemented at an early age. CRE teachers were crucial in mitigating conflicts, making their promotion of peace education highly valuable in reducing such incidents. Furthermore, peace education is one of the solutions for shaping the character of students who embraced a peace-loving life
Twitter Sentiment Analysis on Credit Card
Authors: Syahdatul Maulida  , Aam Slamet Rusydiana
Published: November 2023

This research aims to evaluate the public's response to the global development of credit cards using primary data from Twitter tweets between January 1, 2019, and March 28, 2023. The research method employed is a qualitative approach using Python Library software called VADER (Valence Aware Dictionary and Sentiment Reasoner) to classify sentiments in these tweets. The research results indicate that the majority of the public has a neutral sentiment, accounting for approximately 97.6% towards credit cards, while positive sentiment reaches 1.7%, and negative sentiment is approximately 0.7%. Some keywords frequently appearing in the tweets include credit card, card needed, ASTRA Coins, card debt, and mobile users. It is expected that this research on public sentiment can assist relevant stakeholders in taking appropriate steps to enhance credit card usage and increase awareness and support for it. We also analyze the shariah perspective on credit card.
States of Emergency: COVID-19 and Separation of Powers in the States
Authors: Briffault Richard
Published: November 2023

No event in recent years has shone a brighter spotlight on state separation of powers than the COVID-19 pandemic. Over a more than twoyear period, governors exercised unprecedented authority through suspending laws and regulations, limiting business activities and gatherings, restricting individual movement, and imposing public health requirements. Many state legislatures endorsed these measures or were content to let governors take the lead, but in some states the legislature pushed back, particularly—albeit not only—where the governor and legislative majorities were of different political parties. Some of these conflicts wound up in state supreme courts. This Essay examines the states’ response to the COVID-19 pandemic through the prism of the separation of powers. After considering the actions governors took and the sources of their authority, it focuses on the principal state court decisions concerning the separation of powers questions arising out of the pandemic. Although governors lost a handful of high-profile decisions, they did quite well overall. Courts often read their powers broadly and rejected challenges to their authority. State judicial analysis in these COVID-19 powers conflicts involved close attention to the specific language of state constitutions and statutes, as well as reliance on doctrines used by federal courts. The Essay then reviews some of the state legislative responses—new laws and proposed constitutional amendments—to gubernatorial power. It concludes by considering what the pandemic experience tells us about state separation of powers, the mix of distinctive state arguments and federal analogies in state court analysis, and the role of partisanship in these disputes.