No full-text available
To read the full-text of this research,
you can request a copy directly from the authors.
Public Awareness and Perceptions of Environmental Protection Initiatives: A Survey in Nyanya, Abuja
Abstract
This study investigates public awareness and perceptions of environmental protection initiatives in Nyanya Community, Abuja. Data from 310 participants were analyzed, focusing on demographic characteristics, awareness levels, associations between demographics and awareness, public perceptions of initiative effectiveness, and factors influencing public engagement. The result showed that most respondents were females (51.5%), and a significant portion had a Bachelor's degree (50.2%). Employment status varied, with 53.2% employed and 21.3% unemployed. 69.4% were aware of environmental protection initiatives, 20.6% were not, and 10% had no response. Females demonstrated a higher awareness level (69.4%) than males (39.9%), significantly associated with gender (p-value = 0.000). Also, Youth (25-34 age group) showed the highest awareness (69.4%), with a significant association (p-value = 0.000). Those with a Bachelor's degree had a higher awareness (71.5%), a significant association (p-value = 0.000). Respondents were skeptical; 30.6% found initiatives 'not effective at all.' Females showed higher skepticism (35.5%), significantly associated with gender (p-value = 0.000). With respect to factors Influencing Public Engagement, Environmental concern (64.8%) and lack of time (81.1%) were predominant. Lack of information (9.3%) and social influence (6.6%) also played roles. For effective environmental protection intervention, community should be encouraged to get involved through awareness campaigns led by leaders and stakeholders, comprehensive education campaigns should be conducted to address public perceptions and increase understanding and proper waste disposal and recycling practices should be promoted. Enhancing public awareness and engagement in environmental protection initiatives requires a multi-faceted approach involving community leaders, educational campaigns, and government interventions.
The objectives of this research article are to study 1) demographic factors affecting the decision to use transportation services of Thailand Post Company Limited in Pathum Thani Province. 2) Factors in service quality that affect the decision to choose the shipping service of Thailand Post Company Limited. In Pathum Thani Province. The sample group used in the study was 400 customers who came to use the shipping services of Thailand Post Company Limited in Pathum Thani Province. A questionnaire was used to collect data. Statistics used in data analysis include frequency, percentage, mean, and standard deviation. T-test Analysis of variance and regression analysis at a confidence level of 95 percent. Major Findings Gender demographic factors Frequency of choosing service time Date of choosing service and expenses for using the service Affects customers' decision to choose transportation services. The service quality factors that have the most influence on the decision to choose transportation services are reliability (β-0.332) and knowing and understanding customers (β-0.253) significantly. Statistically significant at the 0.05 level.
A study was conducted at General Hospital Ijebu Igbo antenatal section to investigate the prevalence of intestinal parasitic infection and anemia in pregnant women. A questionnaire was administered to 42 pregnant women who attended the antenatal section of the clinic during the study period. Out of these 42 pregnant women, 18 (42.9%) provided both fecal and blood samples for parasitological and hematological analysis. 50% of the respondents fall within 16-25years age group, while those within 36-45years have the lowest percentage (22.2%). 50% have the knowledge of the helminth infection, out of the 9(50%) that have the knowledge, only 7(77.8%) have the knowledge of how the infection is being transmitted. Of 18 respondents, 13(72%) have the knowledge of anemia, and 5(28%) of them had no prior knowledge of it. The parasitological analysis revealed three intestinal parasite which are Ascaris lumbricoides (22.2%), Enterobius vermicularis (11.11%) and Entamoeba histolytica (5.56%). There were no reported cases of severe anaemic condition in this hospital based study. This suggests that the awareness level of anemia and parasitic infection is moderately high. Therefore, screening for intestinal parasites and deworming of infected pregnant women should be included in antenatal care.
Advancements in face synthesis technology have enabled innovative methods for modeling facial aging. This research paper focuses primarily on creating a robust face aging model using deep learning and Generative Adversarial Networks (GANs), trained on a diverse dataset of facial images. The proposed approach captures both global features and local textures to produce realistic age-progressed images while preserving the subject's identity. This paper also examines face synthesis techniques, with specific emphasis for the various practical usage of GANs. The key objective of our project is to upgrade both the discriminator and the generator parts of GANs to generate more realistic, age- progressed face images. We evaluated the model using quantitative metrics and qualitative assessments, demonstrating its effectiveness. Additionally, we address ethical considerations, proposing guidelines for responsible use. Our study offers a novel framework with significant applications in security, forensics, and entertainment, and suggests future research directions to improve accuracy and ethical standards.
The agricultural sector is on the brink of a transformative era with the emergence of Internet of Things (IoT) technologies. This paper delves into integrating IoT solutions in agriculture, focusing on how these technologies can significantly enhance efficiency, productivity, and sustainability. It explores various IoT applications, including precision farming, automated irrigation, soil monitoring, and pest control, and discusses their benefits and challenges. The study underlines the immense potential of IoT in shaping the future of agriculture by harnessing real-time data, advanced analytics, and intelligent decision-making systems.
In the realm of microservices architecture, ensuring reliability and resilience is paramount due to the distributed nature and interdependencies of services. A key pattern employed to enhance system robustness is the circuit breaker. When a microservice experiences failures, the circuit breaker pattern detects these faults and transitions between three states: closed, open, and half-open. During this period, requests are automatically redirected or fail fast, preventing additional strain on the troubled service. Once the service stabilizes, the circuit breaker transitions to the half-open state, where it allows a limited number of test requests to verify recovery. If these succeed, the circuit breaker closes, restoring normal operation. This abstract explores the implementation, benefits, and challenges of circuit breakers in microservices, emphasizing their role in maintaining high availability and robust performance in modern distributed systems.
The cyberfraud techniques emerged as a significant threat to the banking sector in Nigeria. Bank customers have been losing their hard-earned funds to these measures due to a lack of sufficient awareness of the cyberfraud tactics and preventive measures. There has been an increased rate of loss recorded annually in the banking sector due to fraud. The banking sector in Nigeria recorded a loss to a tune amount of ₦17.6bn in 2023 amount higher than the budget allocation for education in most states of the country. Social engineering remains the persistent and predominant technique fraudsters employ to defraud bank customers in Nigeria. Phishing, identity theft, login credential theft, ATM card swap, and skimming are other techniques cybercriminals employ. This research paper aims to examine and analyze the modus operandi of these techniques and explore the strategic preventive measures that can be implemented by customers to mitigate these risks, such as using advanced cybersecurity technologies, multi-factor authentication systems, employee training, as well as regulatory controls. The paper highlights the significance of a proactive and adaptive cybersecurity posture, continuous monitoring, and collaboration with regulatory bodies to enhance the resilience of the banking sector against cyber threats. The research focuses more on cyberfrauds targeting bank customers, and secondary data will be used for research purposes.
Fruit diseases play a major role in global agriculture, leading to substantial crop losses and influencing food production and economic stability. In this age of Industry 4.0 the fruit sorting is an important part in the food processing wherein this work plays a vital role. In this study, a solution for the detection and classification of apple fruit diseases is proposed and experimentally validated. Deep learning models offer promise for automating disease identification using fruit images, but encounter obstacles such as the requirement for extensive training data, computational complexity, and the risk of overfitting. This study introduces an innovative convolutional neural network (CNN) architecture aimed at addressing these challenges by incorporating a reduced number of layers, thus alleviating computational burdens while maintaining performance. Additionally, augmentation techniques such as shift, shear, scaling, zoom, and flipping are employed to diversify the training set without additional image acquisition. Our CNN model is specifically trained to identify common apple crop diseases like Scab, Rot, and Blotch. Rigorous experimental evaluation demonstrates the effectiveness of our model, achieving a remarkable classification accuracy of 95.37%. Significantly, our model demonstrates reduced storage requirements and faster execution times compared to existing deep CNN architectures, enabling deployment on handheld devices and resource-limited environments. While other CNN models may offer similar accuracy levels, our approach emphasizes efficiency and resource optimization, rendering it practical for real-world applications in agriculture. Furthermore, our CNN model exhibits resilience to environmental variations and imaging parameters, enhancing its applicability across diverse agricultural settings. By leveraging advanced machine learning techniques, the approach developed in this experimental work contributes to modernizing fruits and vegetables sorting operations in food processing, crop management practices thus promoting agricultural sustainability. The scalability and portability of our model make it suitable for deployment in both small-scale farms and large-scale agricultural operations.
Objective: The aim of the study was to determine the effect of different energy sources in starter diet on broiler chicks. Methodology: The study was conducted at the Poultry Unit of the Teaching and Research Farm of the Department of Animal Health and Production, Binyaminu Usman Polytechnic, Hadejia, Jigawa State, Nigeria. A total of seventy-two (72) unsexed broiler birds were sourced from accredited Chikun Company Hadejia metropolis, Jigawa State. The birds were raised under intensive management system (on a floor pens). Three different diets (containing different energy sources) designated as Treatments 1, 2, and 3 for maize, sorghum and millet, respectively were used in this experiment. The parameters measured were the growth performance, haematological indices, proximate composition of the experimental diets and economic analysis. Data collected were subjected to analysis of variance using SAS package. Results: The growth performance, haematological indices and economic analysis showed non-significant (p>0.05) differences despite numerical variation that exist among the treatment groups. The different energy sources did not significantly affect the performance parameters measured. The reason for this was not clearly understood, however, numerically, some of the performance indices tended to be positively affected by the different diet and the broiler performance analysed were within the normal range. Conclusion: Based on the economic analysis, millet is recommended being the cheapest in terms of feed cost and feed cost per weight of bird.
The advancement of invasive plant species in a particular environment is threatening across Asia. When they are introduced, they could have a variety of different negative effects, either as minor inconveniences or a severe problem. The aim of this review is to compile a list of invasive plant species across Asia and organize a set of data according to their reproduction rates, growth rates, dispersal rates, and characterize the allelochemicals they produce and allelopathic effects they have on their environment. The target is to know the extent of their spread ability in the area that they inhibit and know what control measures can be done with that specific species. The data has been gathered by compiling research articles and obtaining pertinent data relating to the objective. This review also utilized the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist to confirm the credibility of the collected references. To achieve the needed references, keywords such as "distribution", "invasive", and "Asia" have been used to search for these on search engines and research journals such as Google Scholar, ScienceDirect, ResearchGate, and Directory for Open Access Journals, to be then compiled in spreadsheets and document files. The results show that the growth rate of these species varies from 7.5-60 cm per year, where Ipomoea eberhardtii has the highest growth rate of 60 cm per year. The dispersal rates of the species ranges from 0.002-2592 km from the parent plant, where animal mediated, water, and wind dispersal methods are the primary vector to spread. Allelopathic effects produced by the allelochemicals present mostly inhibit growth and seed germination. There are already implemented approaches to control these species, where biological control, physical means, and the use of chemicals are the most used strategies. In different dynamic processes, physical and chemical control measures are most utilized in this case.
An experiment was conducted to evaluate the impact of different processing methods on sesame seeds meal as a source of methionine for guinea fowls. The research took place at the Teaching and Research Farm of the Department of Animal Health and Production in Jigawa State, Nigeria. Seventy-two guinea fowls of mixed sexes were raised under intensive management conditions for the experiment. Sesame seeds were divided into three groups: raw, soaked, and roasted, then ground into meal and incorporated into four experimental diets. Proximate analysis of the experimental diets was conducted at the Nutrition laboratory of the Department of Animal Science. Data generated were subjected to analysis of variance (ANOVA) using statistical analysis system (SAS) package. Results indicated that processing methods significantly reduced anti-nutritional factors without adverse effects on some of the performance parameters. Performance improved with all processed sesame seed meals compared to the control diet, suggesting their potential as methionine sources without additional supplementation. Raw, soaked, and roasted sesame seed meal can be incorporated at 15% level of inclusion in the diet of guinea fowls without negative impacts on their general performance. Overall, the study concludes that processing methods enhanced sesame seed's suitability as a methionine source for guinea fowls and recommends their inclusion in diets of guinea fowls at 15% level.
This research was conducted to determine the role of local governments to develop of urban tourism in Kayutangan area, Malang city East Java. The method used in this study is a quantitative method using Binomial analysis. This study uses six Destination Management Organization role variables, which were given to the stakeholder of the Kayutangan Area consisting of thirty respondents. The results in this study indicate that Coordination and leadership, marketing and promotion, partnerships, and public relations are the roles of the Destination Management Organization that are considered to have been carried out well by the government. However, the role of the government can still be improved, especially in planning and research indicators and in the role of product development which can be improved through further evaluation and concrete actions to increase the role of the government in planning and research and structured support in the development of tourist product packages still needs to be strengthened.
PT. Electronics Components Indonesia manufactures capacitors and focuses on enhancing productivity and operational efficiency of the frame welding machines through effective maintenance. This study employs a quantitative method to analyze the Overall Equipment Effectiveness (OEE) values, including availability, performance efficiency, and rate of quality, as well as conducting a Six Big Losses analysis. The results indicate that the average availability reached 97.83%, with a significant decrease in August due to downtime. Performance efficiency remained consistently above 90%, although higher product output tended to reduce efficiency. The rate of quality was stable and high, reflecting improvements in production processes and quality control. The average OEE value reached 88%, exceeding the global standard of 85%. To further enhance the effectiveness of the frame welding machines, suggested improvements include operator training, regular performance evaluations, attention to operator well-being, selection of high-quality raw materials, updating SOPs, regular preventive maintenance, improving workplace safety, and investing in backup energy systems. In conclusion, the improvements implemented successfully enhanced the performance and operational quality of the frame welding machines.
Effective modelling and integrated spectral analysis approaches can advance modelling precision. To develop an integrated spectral forecast modelling of soil organic carbon (SOC), this research investigated a mining coal in Dengcao Coal Mine Area, Zhengzhou. The study utilizes the Lasso and Ranger algorithms were utilized in spectral band analysis. Four primary models employed during this process include Artificial Neural Network (ANN), Support Vector Machine, Random Forest (RF), and Partial Least Squares Regression (PLSR). The ideal model was chosen. The results showed that, in contrast to when band collection was based on Lasso algorithm modelling, model precision was higher when it was based on the Ranger algorithm. ANN model had an ideal goodness acceptance, and the modelling developed by RF showed the steadiest modelling consequences. Based on the results, a distinct method is proposed in this study for band assortment at the earlier stage of integrated spectral modelling of SOC. The Ranger method can be used to check the spectral particles, and RF or ANN can be chosen to develop the prediction modelling based on different statistics sets, which is appropriate to create the prediction modelling of SOC content in Dengcao Coal Mine Area. This research avails a position for the integrated spectral of Analysis for Advanced Modelling of Soil Organic Carbon Content in Coal Sources alongside a theoretical foundation for innovating portable device for the integrated spectral assessment of SOC content in coal mining habitats. This study might be significant for the changing modelling and monitoring of SOC in mining and environmental areas.
Comprehensive clinical documentation is crucial for effective healthcare delivery, yet it poses a significant burden on healthcare professionals, leading to burnout, increased medical errors, and compromised patient safety. This paper explores the potential of generative AI (Artificial Intelligence) to streamline the clinical documentation process, specifically focusing on generating SOAP (Subjective, Objective, Assessment, Plan) and BIRP (Behavior, Intervention, Response, Plan) notes. We present a case study demonstrating the application of natural language processing (NLP) and automatic speech recognition (ASR) technologies to transcribe patient-clinician interactions, coupled with advanced prompting techniques to generate draft clinical notes using large language models (LLMs). The study highlights the benefits of this approach, including time savings, improved documentation quality, and enhanced patient-centered care. Additionally, we discuss ethical considerations, such as maintaining patient confidentiality and addressing model biases, underscoring the need for responsible deployment of generative AI in healthcare settings. The findings suggest that generative AI has the potential to revolutionize clinical documentation practices, alleviating administrative burdens and enabling healthcare professionals to focus more on direct patient care.
Expert researchers examine complex patterns of pressure, viscosity, and velocity in a CFD study of viscoelastic food inside hydrocyclones to obtain a detailed grasp of particle behavior and fluid dynamics. Velocity profiles show how fluids and particles flow through the hydrocyclone in complex ways, while pressure distributions show where high and low pressure is found, regions that are critical for maximizing separation efficiency. Furthermore, the analysis of viscosity fluctuations clarifies the intricate relationship between fluid rheology and flow dynamics, providing information on how food's viscoelastic characteristics affect particle trajectories and separation efficiency. Utilizing this comprehensive examination, scientists hope to optimize the design and functioning parameters of the hydrocyclones, which will in turn improve the efficacy and efficiency of particle separation procedures in viscoelastic food solutions. This will ultimately lead to improvements in food processing technology and product quality. Researchers look into the impact of geometric elements on flow patterns and separation efficiency in addition to these characteristics, such as hydrocyclone size and inlet configurations. Additionally, they investigate how different operating parameters, such rotational speed and flow rate, affect how well the hydrocyclone handles viscoelastic food items. Through the integration of these complex analyses, researchers hope to create all encompassing models that can precisely forecast and optimize the behavior of viscoelastic food flows inside hydrocyclones, opening the door to improved process control and food sector product quality.
Climate scientists working for the IPCC believe human-induced global deforestation is responsible for 18-25% of global climate change. The United Nations, World Bank and other leading non-governmental organizations are encouraging tree planting to mitigate the effects of climate change. Tree planting is grounded in forest science, and if performed properly can result in the successful regeneration of a deforested area. This study identified tree planting as a climate change adaptation strategy for sustainable development and the need for tree planting education in Nigeria. It further identified how poetry can be used innovatively in tree planting education for sustainable environment in Nigeria.
This paper review explores environmental challenges and responsiveness. Natural calamities and human activities have contaminated the ecosystem, making it unhealthy for plants and animals. Human activities are required to address environmental issues. The quality of the environment will be determined by how humans respond to environmental challenges. The literature reviewed reveal that although environmental challenges could be attributed to natural disaster, some could be due to anthropogenic activities. Human actions have an impact on the environment, prompting the need for people to engage in environmentally friendly activities that will aid in the preservation and sustainability of the environment for future generations. Copyright © 2022, Chinyere Adaku Onuoha et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The present study investigates the impact of climate change on biodiversity loss using global data consisting of 115 countries. In this study, we measure biodiversity loss using data on the total number of threatened species of amphibians, birds, fishes, mammals, mollusks, plants, and reptiles. The data were compiled from the Red List published by the International Union for Conservation of Nature (IUCN). For climate change variables, we have included temperature, precipitation, and the number of natural disaster occurrences. As for the control variable, we have considered governance indicator and the level of economic development. By employing ordinary least square with robust standard error and robust regression (M-estimation), our results suggest that all three climate change variables – temperature, precipitation, and the number of natural disasters occurrences – increase biodiversity loss. Higher economic development also impacted biodiversity loss positively. On the other hand, good governance such as the control of corruption, regulatory quality, and rule of law reduces biodiversity loss. Thus, practicing good governance, promoting conservation of the environment, and the control of greenhouse gasses would able to mitigate biodiversity loss.
Solid Waste Management (SWM) is a multifaceted problem comprising political, socio-
economic, institutional, and environmental aspects. Due to exponential urban growth, it has become one of the most significant issues faced by urban spaces in developing countries. The gap in environmental knowledge among the youth and the old within developing countries contribute to ecological issues or waste management problems, resulting in unsustainable development, with important consequences in low-income countries. For that matter, a systematic review was conducted aiming to identify and analyse environmental knowledge, awareness, attitudes, and practice studies on SWM from 2010 to 2019, in developing countries. The evidence suggests that students at both secondary and tertiary levels have positive environmental attitudes, and high awareness of environmental issues, but there is a lack of practical education of teachers to guide students to put SWM into practice. Student's low environmental knowledge is related to a deficiency in teachers’ practical experience in SWM for environmental sustainability. A relationship between teachers’ and students’ knowledge and attitudes towards SWM, as well as differences in awareness, attitude, and practices of SWM linked with education and age, were also found. This review also revealed that the lack of environmental education in most developing countries is caused by fragilities in practical environmental curricula of teachers to respond to modern-day environmental issues for sustainable development and cleaner production (CP). To bridge the knowledge gap between the youth and older people in SWM, environmental sustainability education should be integrated into schools at all levels within developing countries.
The environment provides life support system to man. So many regulations and laws have been put in place to ensure adequate protection of the environment from man’s activities. Government has over the years established institutions that are given the responsibility of enforcing these laws and regulations to ensure compliance. Despite this legislative and institutional frameworks, effective compliance has become a mirage in the country. This paper examines the role of enforcement in environmental protection in Nigeria. The study adopted secondary desk review of existing literature. The findings of the study reveals that environmental regulations are the general rules and specific actions enforced by administrative agencies so as to control pollution and manage natural resources with the purpose of protecting the environment. The study findings reveal that the same government that put these structures in place is the main violator of the policies and provisions to protect the environment. This often leads to an atmosphere of system failure where, nothing works and the environment suffers for it. The benefits of enforcement of environmental regulations include creation of employment opportunities, protection of the environment and environmental sustainability. Some of the challenges of effective compliance to environmental regulations include outdated laws, high cost of environmental standards, weak institutional capacity, poor governance, under staffing, inadequate funding, vested interest, multiplicity of legislation/conflicting laws, ignorance and lack of rule of law among others. The study recommends employment of more staff, increase funding of environmental enforcement agencies, and review of old and outdated environmental laws and regulations
This study was carried out to evaluate the level of environmental awareness of stakeholders in the urban and rural settlements in Delta State, southern Nigeria so as to infer the depth of environmental education that would be embarked on. Five major stakeholders in the state that constituted the major strata of sampling were selected. A total of 14 communities; 7 in the urban/semi urban local governments and 7 in the rural local governments were studied using the stratified sampling technique. Descriptive statistic was adopted for the study and questionnaires were administered to stakeholders. The study revealed that contrary to findings from a number of studies in other part of the globe, students were more knowledgeable on environmental issues followed by public/civil servants and traders/businessmen among stakeholders from the urban settlements. Stakeholders younger in age were not more knowledgeable than older stakeholders in the rural settlements about environmental problems. Male stakeholders had higher percentage level of awareness than their female counterparts. A higher percentage of stakeholders from the rural settlements are still not aware on the environmental terms sought for in this study than stakeholders from urban settlements. This study recommends that given the current level of environmental degradation experienced on a daily base in Nigeria and the limited awareness level of stakeholders on environmental issues, government at various levels should through wider publicity in the ministries of environment and education intensify the campaign on environmental education.
Employee green behavior is an environmentally friendly behavior in the workplace and is an important basis for transforming an organization’s macrolevel sustainable development strategy into concrete practice. How does employees’ pro-environmental attitude affect the implementation of their behaviors? To answer this question, we examined the relationship between pro-environmental attitude and employee green behavior and the roles of motivational states and green work climate perceptions in this process. The results showed that pro-environmental attitude positively predicted required employee green behavior and voluntary employee green behavior and that these relationships were mediated by controlled and autonomous motivations. In addition, this study showed that the positive role of pro-environmental attitude in controlled motivation and autonomous motivation was moderated by green work climate perceptions. Finally, we discuss the theoretical and practical implications.
The aim of the European Water Framework Directive is to ensure good ecological status for all European surface waters. However, although current monitoring strategies aim to identify the presence and magnitude of ecological impacts, they provide little information on the causes of an ecosystem impairment. In fact, approaches to establish causal links between chemical pollution and impacts on the ecological status of exposed aquatic systems are largely lacking or poorly described and established. This is, however, crucial for developing and implementing appropriately targeted water management strategies. In order to identify the role of chemical pollution on the ecological status of an aquatic ecosystem, we suggest to systematically combine four lines of evidence (LOEs) that provide complementary evidence on the presence and potential ecological impact of complex chemical pollution: (1) component-based methods that allow a predictive mixture risk modeling; (2) effect-based methods; (3) in situ tests; (4) field-derived species inventories. These LOEs differ systematically in their specificity for chemical pollution, data demands, resources required and ecological relevance. They complement each other and, in their combination, allow to assess the contribution of chemical pollution pressure to impacts on ecological structure and function. Data from all LOEs are not always available and the information they provide is not necessarily consistent. We therefore propose a systematic, robust and transparent approach to combine the information available for a given study, in order to ensure that consensual conclusions are drawn from a given dataset. This allows to identify critical data gaps and needs for future testing and/or options for targeted and efficient water management.
As in many nations, air pollution linked to rapid industrialization is a public health and environmental concern in Malaysia, especially in cities. Understanding awareness of air pollution and support for environmental protection from the general public is essential for informing governmental approaches to dealing with this problem. This study presents a cross-sectional survey conducted in the Klang Valley and Iskandar conurbations to examine urban Malaysians’ perception, awareness and opinions of air pollution. The survey was conducted in two languages, English and Malay, and administered through the online survey research software, Qualtrics. The survey consisted of three sections, where we collected sociodemographic information, information on the public perception of air quality and the causes of air pollution, information on public awareness of air pollution and its related impacts, and information on attitudes towards environmental protection. Of 214 respondents, over 60% were positive towards the air quality at both study sites despite the presence of harmful levels of air pollution. The air in the Klang Valley was perceived to be slightly more polluted and causing greater health issues. Overall, the majority of respondents were aware that motor vehicles represent the primary pollution source, yet private transport was still the preferred choice of transportation mode. A generally positive approach towards environmental protection emerged from the data. However, participants showed stronger agreement with protection actions that do not involve individual effort. Nonetheless, we found that certain segments of the sample (people owning more than three vehicles per household and those with relatives who suffered from respiratory diseases) were significantly more willing to personally pay for environmental protection compared to others. Implications point to the need for actions for spreading awareness of air pollution to the overall population, especially with regards to its health risks, as well as strategies for increasing the perception of behavioural control, especially with regards to motor vehicles’ usage.
Within the scope of the research, we put forward a technique of exactly confirming the distinctiveness of agricultural leaf pathologies with the assist of deep mastering algorithms and switch getting to know generation. We have pre-skilled models like VGG19, MobileNet, InceptionV3, EfficientNetB0, Simple CNN where we are seeking to increase the utility for the crop disorder type. Through searching at some metrics as cited Accuracy, Precision, Recall and F1 score for a better knowledge of a crop leaf photo category, we observe how each version performs. Our paper shows that artificial intelligence is fairly useful for the obligations of the automatic disease detection and switch mastering (as a method for reusing the existing understanding in the new software) is also beneficial. The contribution of this work to the development of reliable systems of save you sicknesses in production touches upon the rural exercise to achieve superiority fits into precision agriculture and sustainable farming. Future research ought to possibly include centered regions concerning a stability of datasets and stepped forward model interpretability which in turn will improve the fulfillment of these strategies in agricultural contexts.
A feeding trial lasting for 28 days was conducted, involving 150 days old chicks which were randomly allocated to five dietary treatment with 3 replicate, of ten birds per replicate. The experimental diets consisted of 0%, 5%, 10%,15% and 20% inclusion level of Tithonia Diversifolia (wild sunflower) leaf protein concentrate to determine the effect of different level of Tithonia Diversifolia leaf protein concentrate on Haematological parameters of the birds. Haematological studies carried out were packed cell volume (PCV), Haemoglobin concentration (Hb), Red blood cell (RBC), white blood cells, Alanine aminotransferase (ALT), Aspartate aminotransferase (AST), Mean Corpuscular Haemoglobin Concentration (MCHC), Mean Corpuscular Haemoglobin (MCH), Mean Corpuscular Volume (MCV) and Total protein, Albumin, Cholesterol. Packed Cell Volume obtained for the experimental bird varied significantly to each other with diet 3 having the highest value of 29.7±2.52 which was significantly different (p<0.05) to the value obtained for diet 1, 2 and 5. White blood cells values of 86.33± 185 at 10% level of Tithonia diversifolia leaf protein concentrate was the highest while diet 1 and 2 had the lowest. The highest cholesterol values was obtained from diet 1 and 4 with an average value of 5.37±0.47 and 5.20 respectively while the lowest cholesterol value was obtained from diet 3 which had 4.16 ± 0.33.The highest total protein value of 29.1 ± 0.15 was obtained at 10% inclusion level of Tithonia diversifolia leaf protein concentrate while the lowest values was seen on birds in diet. Feed in take value of birds on diet 3 with 10% inclusion level of Tithonia Diversifolia leaf protein concentrate was 99.8 ± 1.52 which is similar to diet 1 and 5 while the lowest feed intake was observed in birds at diet 2 having 94.1 ± 6.85 the birds on diet 3 (10% inclusion level) showed the highest weight gain followed by birds on the control diets. The result shows that 10% inclusion of Tithonia Diversifolia leaf protein concentrate could be used without having any deleterious effect on the broiler chicks.
Nowadays mobile usage is the essential need of humans. To provide the mobile network services, the Telecommunication companies propose the installation of Base Transceiver Station over large populated and industrial areas. The radiations emit from these BTS may give rise to various electromagnetic and ecological compatibility issues [1]. The radiation power of these BTS is up to 5-10 KiloWatts (up to 320-350 W per channel), which can be detrimental for the human beings, if they are installed in populated areas. The purpose of this paper is to reduce the transmission power of the BTS which is possible through the usage of Self-phased array antenna. Self-phasing array antenna through the use of pilot carrier in Telecommunication systems can degrade the Tx upto10-20dB
The concept of a smart home integrates wireless electronic systems that connect household devices to a central interface, enabling remote control via smartphones or wall panels through Wi-Fi networks. This paper explores the core components of smart homes, including smart devices such as speakers, thermostats, lighting, and security systems, as well as the role of mobile applications in managing these devices. The paper discusses the various applications of smart homes, from home automation and security monitoring to energy management and health-focused initiatives. Additionally, it evaluates the pros and cons of smart home technology, highlighting benefits such as enhanced security, energy efficiency, and user convenience, while also addressing challenges related to cost, complexity, and cybersecurity risks. The paper concludes by emphasizing the transformative potential of smart homes in modern living, while recognizing the need for strategic approaches to mitigate associated challenges.
The purpose of this study was to determine, analyze and assess which sectors are the leading sectors in the four regions in Tana Luwu with the Location Qoutient (LQ) analysis approach. It was concluded that the economic potential of each region is different. East Luwu Regency has a base sector in mining and quarrying. North Luwu Regency has base sectors in agriculture, forestry and fisheries; electricity and gas procurement; government administration, defense and social security; and educational services. Palopo City has a base sector in electricity and gas procurement; water supply, waste management, waste and recycling; construction; wholesale and retail trade; car and motorcycle repair; transportation and warehousing; financial services; real estate; government administration, defense and social security; and health services and activities. And Luwu District has base sectors in Agriculture, Forestry and Fisheries; electricity and gas procurement; real estate;Government Administration, Defense and Social Security; health services and social activities.
The pandemic has put pressure on global maritime supply chain activities resulting in slowdowns and delays. This is reflected in the container crisis, which has caused a shortage of containers at Indonesia's busiest port, Tanjung Priok Port. This study aims to identify the factors that contribute to container shortages based on the perspectives of strategic partners who are considered a relevant source of information on the phenomenon. The study also seeks to determine the extent of the impact of container shortages and identify appropriate solutions. The study employs a qualitative, descriptive methodology and utilizes Nvivo software to provide a comprehensive visualization of the data. Seven informants were selected for this study using purposive sampling. The data collected through interviews revealed that the shortage of containers was caused by congestion, lockdowns, trade imbalances, container imbalances, demand and supply imbalances, and a shortage of vessel space. Based on the analysis, the lockdown has had a significant impact. The shortage of containers has disrupted export activities with the highest coverage level, and container repositioning is the most effective solution compared to others.
The paper examines the application of machine learning (ML) techniques in the field of cybersecurity with the aim of enhancing threat detection and response capabilities. The initial section of the article provides a comprehensive examination of cybersecurity, highlighting the increasing significance of proactive defensive strategies in response to evolving cyber threats. Subsequently, a comprehensive overview of prevalentonline hazards is presented, emphasizing the imperative for the development of more sophisticated methodologies to detect and mitigate such risks. The primary emphasis of this work is to the practical use of machine learning in the identification and detection of potential dangers inside real-world contexts. This study examines three distinct cases: the detection of malware, attempts to breach security, and anomalous behavior shown by software. Each case study provides a detailed breakdown of the machine learning algorithms and approaches employed, demonstrating their effectiveness in identifying and mitigating risks. The paper further discusses the advantages and disadvantages associated with employing machine learning techniques for threat detection. One advantage of this approach is its ability to facilitatethe examination of extensive datasets, identification of intricate patterns, and prompt decision-making. However, discussions also revolve around difficulties like as erroneous discoveries, adversarial attacks, and concerns over privacy.
Crane boom rests are critical components that endure both static and dynamic loads, leading to deformation and a shortened lifespan. This paper addresses these issues by proposing a redesigned model with enhanced stiffness and load-bearing capacity. The new design incorporates gussets and Styrene-Butadiene Rubber (SBR) sheets. A series of trials were conducted to analyze various stiffener configurations, with results showing a significant reduction in deformation. The optimal configuration, consisting of three L-shaped stiffeners placed at specific intervals, reduced deformation from 17.2 mm to 2.2 mm. Additionally , the integration of SBR rubber sheets further minimized deformation to 0.15 mm. These modifications demonstrate the effectiveness of the proposed improvements in enhancing the durability and performance of crane boom rests. The findings provide a robust solution for extending the operational life of crane boom rests under dynamic loading conditions. Future research can explore different rubber materials and stiffener designs to further enhance structural integrity and load-bearing capacity.
This study examines how global and country- specific geopolitical instability affects Russian trade using data from 1996 to 2021. A panel regression model analyzes trade between Russia and its 15 top trading partners, exploring both direct and indirect effects. The analysis focuses on how accumulated foreign direct investment (FDI) and exchange rate fluctuations mediate these relationships. The findings reveal that global geopolitical instability decrease Russian trade by 0.0558. Interestingly, this negative impact is partially mediated by a decrease in FDI (-0.0805). This aligns with the Structural Equation Modeling (SEM) results, which show a significant negative effect of global geopolitical instability on FDI (-1.209). This suggests that FDI acts as a key transmitter of the negative effects of global instability on Russian trade. The role of exchange rate fluctuations, however, is more complex. While the Sobel Test indicated a negative indirect effect, the SEM analysis shows a positive indirect effect through exchange rate fluctuations on trade. This suggests potentially countervailing effects of currency fluctuations, with depreciation potentially incentivizing exports while appreciation might make imports cheaper. The impact of country-specific geopolitical instability varies depending on the context. Industries like food products and textiles are significantly affected by geopolitical instability increase, while sectors such as fuels, metals and raw materials show resilience. Close trading partners are less affected by global instability but suffer from partner- specific instability. Geographically, Western Europe benefits from global instability but faces challenges from partner-specific instability, contrasting with Eastern Europe and Asia. Overall, this research contributes to the understanding of how geopolitical instability, mediated by FDI and exchange rates, shapes Russia's trade performance.
The fashion industry, characterized by rapid cycles of production and consumption, has emerged as a global economic powerhouse, generating significant revenue and employment opportunities worldwide. However, this growth has come at a substantial environmental and social cost, marked by extensive resource consumption, greenhouse gas emissions, and labor exploitation. This paper critically examines the environmental and social impacts of the fashion industry, focusing on issues such as textile waste, water pollution, and unethical labor practices. It explores the transition towards sustainable fashion practices, highlighting initiatives like circular fashion and consumer behavior shifts towards eco-friendly choices. The study employs a comprehensive review of current literature and case studies to analyze the challenges and opportunities for achieving sustainability within the fashion sector. By synthesizing diverse perspectives and research findings, this paper proposes strategies to combat greenwashing, enhance transparency, and foster a circular economy in fashion. Ultimately, it aims to provide a framework for stakeholders to navigate towards a more ethical and environmentally responsible future for the fashion industry.
This review provide an overview of the various documentation of quality management system, which includes deviations, OOS and CAPA. A detailed case study of deviations, out-of-Specification and CAPA generation is beneficial for improving pharmaceutical capabilities and understanding the documentation associated with a quality management system. It is essential for understanding deviations and out-of-spec in the pharmaceutical industry. The quality of medicines means that they meet the required specifications. The quality management system in the pharmaceutical industry is essential because the drugs or pharmaceutical products are delivered directly to the customer's body. Therefore, identity, purity, safety, and the quality of the products are critical. A Deviation can define as "a deviation from an approved instruction or established standard" The deviation process helps identify potential risks to product quality and patient safety and establish the root cause. Once the root cause identifies, appropriate corrective and preventive actions take to prevent reoccurrence. OOS defines as "A result that is outside the specifications or acceptance criteria established by the manufacturer or laboratory" As the industry moves to newer and more complicated products, quality control procedures must be in place to ensure consistent product quality. "CAPA defined by corrections.
The integration of Environmental, Social, and Governance (ESG) considerations in corporate mergers and acquisitions (M&A) has gained significant traction as companies recognize the strategic value of sustainability in dealmaking. This paper explores how ESG factors can be incorporated into M&A strategies to drive value creation, meet regulatory requirements, and enhance corporate reputation. Leveraging improved data and tracking methods, the study highlights the increasing importance of ESG in M&A, presenting a comprehensive analysis of environmental, social, and governance factors and their impact on M&A processes. Through case studies and an analytical framework, the research provides insights into the benefits and challenges of ESG integration, offering recommendations for companies aiming to achieve successful and sustainable M&A outcomes.
Background General fitness establishes the quality of life, but it often decreases with age. Therefore, it becomes vital to find out a method of evaluation of individual fitness level and to design a targeted exercise programme,ie SSE.. Fallsin the elderly are common and associated with major morbidity and mortality. Fall in the elderly is considered as a geriatric syndrome ,decreased physical functioning and autonomy and is associated with other geriatric syndromes. Objective To find the effectiveness of square stepping exercise and strength and balance to reduce the risk of falls among elderly people. Method 30elderly subjects are selected from the population who fulfill inclusion and exclusion criteria . These subjects randomly divide in to two groups[15 each Group ]. ABC Scale and Tinneti performance oriented mobility assessment score checked as pre and post test. The SSE group participate sessions 5 days in a week ,each session comprise 15 minutes of warm-up activities such as stretching and free walking ,30 minutes of SSE and 15 minutes of cool-down activities. Each step pattern repeat 4–10 times. The group B performs 30 minute of strengthening and balance exercise instead of SSE. Result and Discussion SSE is as equally effective as SB training in improving lower-extremity functional fitness. SSE may also be recommended for older adults, due to its low cost and effectiveness. The findings suggest that SSE is safe and acceptable, and it improves the functional fitness of the lower extremities, which is a fall risk factor, in older adults. Conclusion low-cost and feasible alternative to practice physical activity with good impact on improvement of functional mobility and maintenance of mood states, preventing depressive symptoms In older people and reduce the risk of fall in elderly.
Climaate prediction plays a vital role in various sectors, including agriculture, disaster management, and urban planning. Traditional methods for climate forecasting often rely on complex physical models, which require substantial computational resources and may not accurately capture local weather patterns. This study explores the potential of Long Short-Term Memory (LSTM) networks, a type of recurrent neural network, for predicting daily climate variables such as temperature, precipitation, and humidity. Utilizing historical climate data from the city of Delhi, we developed an LSTM model to forecast short-term climate trends. The model consists of two LSTM layers followed by three Dense layers and is compiled with the Adam optimizer, mean squared error loss, and mean absolute error as a metric. Our results demonstrate the model's capability to capture temporal dependencies in climate data, achieving a satisfactory level of accuracy in temperature forecasting. This research underscores the potential of machine learning techniques, particularly LSTM networks, in enhancing climate prediction and contributing to more informed decision-making in weather-sensitive sectors.
Concrete is a fundamental material in the construction industry, with formwork playing a crucial role in shaping and strengthening concrete elements. It also represents a significant cost in building projects. The history of formwork is extensive, and diverse systems have been employed across various projects. When selecting a formwork system, considerations such as safety, cost, structural requirements, construction duration, and environmental impact must be carefully weighed. This project provides a comprehensive review of different formwork systems used in concrete construction, encompassing their materials, flexibility, fabrication methods, application in structures, and environmental implications. The advantages and limitations of these systems are analysed and compared, culminating in practical recommendations. Formwork systems are pivotal in determining the success of construction projects in terms of efficiency, quality, cost-effectiveness, and safety. Recent innovations, particularly modular formwork systems, have revolutionized the construction industry in countries like Japan, Singapore, Malaysia, and the Middle East. These systems have proven to be cost- effective, enhance construction quality, and accelerate project timelines. Their adaptability makes them particularly suitable for mass construction projects in India, where achieving high-quality, rapid construction is crucial. By leveraging modern formwork technologies, construction practices can achieve safer, faster, and more sustainable outcomes, aligning with advancements
Reorganizing the structure and delivery of services has been a typical focus of initiatives to improve the standard, safety, and effectiveness of health care delivery. Continuous quality improvement (CQI), a technique commonly used in the manufacturing and industrial sectors, has been applied to the health sector. Given the complexity and diversity of health systems, questions about CQI's efficacy persist despite its increased focus. This review evaluates CQI's efficacy in various healthcare environments and looks into the significance of the approach's many elements. Twenty- eight RCTs assessed the effectiveness of different approaches to CQI in a variety of scenarios using a non- CQI comparison. The methodologies used, the duration of the meetings, the participants, and the type of training provided varied throughout the interventions. It was believed that bias might taint any RCT and affect the results. The benefits of CQI compared to a non-CQI comparison on clinical process, patient, and other outcomes were not great, as evidenced by the fact that less than half of RCTs showed any effect. Benefits were usually demonstrated in clinical process metrics; these were impacted by the frequency (weekly), the type of meeting (leaders discussing implementation), and the methodology (Plan-Do-Study-Act, improvement methodology). Studying health disparities caused by socioeconomic status.
Considering the importance of increasingly rapid industrial development, business people must be aware of the orientation towards product quality. The manufacturing industry has an important role in industrial development. It is hoped that it will be able to grow and have advantages in industrial development, therefore it is necessary to improve and increase product quality. The company continues to strive to maintain and improve product quality and increase productivity so that customers are satisfied with the products produced. One way that needs to be done is to reduce the number of defective products in the production process. This effort is one way of continuous improvement carried out by PT. ABC and companies operating in the same field. The ceramic wall production process has relatively high demand but still has a high level of defects. Based on information on production data and data on the number of defects for the period January – September 2023, wall ceramic production has a defect rate of 3.86%. Companies must reduce the number of defects to achieve company targets. This research aims to improve the production process of wall ceramics by minimizing the number of defective products. This research uses the six sigma method with the DMAIC (Define, Measure, Analyze, Improve, Control) tool assisted by the FMEA (Failure Mode and Analysis) method. Corrective action to reduce defects based on the 5 Why analysis is to find out what the problem is and ask "why" and "what is the root of the problem". The research results show that there are 4 types of defects which have a large number of defects, namely Rupture Defects, Application Defects, Peeling Defects and Hole Defects. From the research results, solutions were obtained for the emergence of several types of defects in the wall ceramic production process, namely by providing planning suggestions and corrective actions which are discussed this time. At the defect calculation stage, Broken produces a DPMO value of 29.362 with a sigma level of 3.39 with a sigma level of 3.48, Defect Peeled produces a DPMO value of 28.044 with a sigma level of 3.38, and holes are defective. resulting in a DPMO value of 26,020 with a sigma value of 3.45 from the data calculation results, it is still not enough to meet the company's target at the sigma level, therefore the company must make quality improvements to achieve the main target at the sigma level.
In realizing competitiveness, a company/ business organization must have operational excellence. Operational excellence is obtained through the provision of facilities in the form of tools or work systems that enable workers to operate them more efficiently and effectively, where efficiency and effectiveness are two things that produce productivity. Apart from many influencing factors, such as worker experience and knowledge, CV. XYZ – a work organization engaged in the repair of two-wheeled motorized vehicles – is also trying to create an advantage that allows them to increase their productivity. This research is a quantitative descriptive study, which takes time data from the two jobs most routinely carried out by CV. XYZ, namely changing engine oil and gear oil. This research was carried out with the aim of finding out the standard time needed for workers to complete their work and making recommendations for possible improvements to be implemented by CV management. XYZ, namely recommendations for the layout of work facilities and also the sequence of work processes. The measurement results show that the standard time required to complete the job of changing engine oil and garden oil is 372.68 seconds and 417.99 seconds, respectively. Creating an operational flow map (current FPC) shows that the average distance that workers need to travel while working on engine oil and garden oil is 22 meters. The results of the FPC recommendation provided show that the distance has decreased to 16.5 meters or 5.5 meters shorter.
Purpose: This study aims to analyze and compare selected physical fitness, physiological, and psychological variables among boys from government, government- aided, and private schools in the Chennai district. The purpose is to understand how different school environments impact these variables and to provide insights that can inform policy and practice in physical education and health promotion. Methodology: A sample of 300 boys aged 12-15 years was selected through stratified random sampling, with 100 boys from each school type (government, government-aided, and private schools). Physical fitness was measured using the Fitness Gram test battery, physiological variables such as BMI, resting heart rate, and blood pressure were assessed using standard clinical procedures, and psychological variables were evaluated using the Rosenberg Self- Esteem Scale and the Perceived Stress Scale. Data were analyzed using ANOVA to compare the means across the three school types, with post-hoc tests conducted to identify specific group differences. Conclusion: The study found significant differences in physical fitness, physiological health, and psychological well-being among boys from different types of schools. Boys from private schools exhibited better physical fitness and lower stress levels compared to their peers in government and government-aided schools. These findings highlight the influence of socio-economic factors and access to resources on students' health and suggest the need for targeted interventions in government and government- aided schools to improve physical and psychological well- being among students.
This research aims to select products that will be used for promotion on e-commerce platforms. The increasing use of e-commerce has led to a high level of competition in the e-commerce field. The company strives to maintain the quality of its services to increase customer satisfaction, one of which is by providing regular promotions. The process of selecting promotional products is a routine activity carried out every week. However, the current promotional product selection process is not effective enough, and there are no criteria to use as a reference for selection. This research was conducted on two e-commerce companies actively operating in Indonesia. The research began with a literature study and expert survey to select important criteria in selecting promotional products. Weighting of important criteria is carried out using the Stepwise Weight Assessment Ratio Analysis (SWARA) method. Finally, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method is used to rank the best products to promote. The results showed that products from Soundcore, Lenovo, and Xiaomi were the best products with preference values of 0.83, 0.65, and 0.60 respectively.
In the contemporary business landscape, effective supply chain management (SCM) is paramount for organizations seeking to thrive amidst evolving market dynamics and heightened customer expectations. This research paper presents a pioneering approach to SCM that harnesses cutting-edge technologies, namely Kafka and Akka, to revolutionize data integration and decision-making processes. By leveraging Kafka as a robust distributed event streaming platform and Akka as a versatile toolkit for developing concurrent and distributed applications, our system facilitates seamless communication and coordination across diverse nodes within the supply chain network. This paper elucidates the intricacies of the proposed architecture, detailing the implementation methodology and performance evaluation metrics. Through a comprehensive examination, we demonstrate how our solution enhances supply chain visibility, fosters operational agility, and enables real-time responsiveness to market fluctuations and customer demands. Moreover, practical use cases exemplify the transformative impact of our approach on inventory management optimization, order fulfillment efficiency, and logistics optimization. Furthermore, we delve into the challenges encountered during implementation and deployment, offering insights into potential mitigative strategies. Finally, we outline avenues for future research, exploring emerging trends and opportunities in the realm of SCM empowered by Kafka and Akka technologies.
Objective: This study aimed to utilize finger millet as a primary ingredient for creating nutritious millet powder suitable for hot beverages. Desiccated coconut was incorporated for color enhancement. The optimization process involved sensory evaluation and trials on a laboratory scale. Three variations of millet products and two recipes were developed: one for a beverage made by mixing millet (Ragi/ Finger millet) nutritious powder with hot water, and another for millet nutritious halua powder fortified with nutrients. Additionally, a millet nutritious powder based on Pearl millet was formulated for easy consumption by the ageing population. Methods: The study involved the preparation and experimentation of three types of millet nutritious powder, derived from finger and pearl millet, targeting the nutritional needs of ageing individuals. Age-related challenges such as esophagus stenosis were taken into account during formulation. The viscosity graphs were utilized to refine the texture of the food, ensuring ease of swallowing. Laboratory-scale trials and benchtop sensory evaluations were conducted to optimize the formulations. The acceptability of the beverages was assessed using a 9-point hedonic scale. Results: The formulated millet nutritious powders demonstrated excellent nutrient composition, with calcium content exceeding three times that of a cup of milk. The halua powder exhibited low viscosity, high solubility, and excellent swallowing properties. The optimized beverages achieved a total acceptability score exceeding 7 on the hedonic scale, indicating favourable consumer reception. The study successfully developed three variants of millet nutritious powder tailored for aging individuals, addressing concerns related to swallowing difficulties and offering a comfortable dietary option. Conclusion: In conclusion, this study demonstrates the feasibility of utilizing finger and pearl millet to create nutritious powders suitable for hot beverages, particularly catering to the dietary needs of the aging population. The formulations offer a convenient and easily consumable option for individuals facing challenges with chewing solid food. Moreover, the affordability and widespread accessibility of the developed food products make them suitable for diverse populations, highlighting their potential for addressing nutritional needs on a broader scale.
Flooding is one of the most destructive global disasters in scale, geographical extent, property and life loss, and population displacement. The Cauvery River is one of the flood vulnerable rivers in the Peninsular region of India. At-site flood frequency analysis is performed using flow data obtained at the Kodumudi gauged site in the Cauvery River. Log Pearson Type III and Gumbel Max distribution models are used in the present study to estimate peak floods for different return periods. The Central Water Commission provides the annual maximum discharge for the Kodumudi gauged site over 39 years (1980-2018). The goodness of fit test employing the Kolmogorov-Smirnov and Anderson- Darling tests, reveals that Log-Pearson Type III best estimates peak floods in the study area. The peak floods predicted by Log-Pearson Type III for return periods 2, 5, 10, 25, 50, 100, 200, and 500 years are approximately 929, 1886, 2998, 5303, 8002, 11929, 17633, and 29228 cumecs. Hydraulic structures can be designed in the region based on 100-year flood. The present research could help with flooding management approaches, vulnerability analyses, and hydraulic structure design in the study region.
This research focused on identifying various types of faults occurring on 330kV transmission lines through the use of artificial neural networks (ANN). A MATLAB model for the Gwagwalada-Katampe 330kV transmission line in Nigeria was implemented to generate fault datasets. Voltage and current fault parameters were utilized to train and simulate the ANN network architecture selected for each stage of fault detection. Four types of faults were considered, along with a fifth condition representing no fault. The results illustrated the success of the developed model in identifying various fault conditions and system parameters on the Gwagwalada-Katampe 330kV transmission line, modelled using MATLAB Simulink.
Background: Chronic kidney disease (CKD) is a progressive disease that affects more than 800 million people worldwide, representing more than 10% of the global population. It is more common in older people, women, and racial minorities, as well as in people with diabetes mellitus and high blood pressure. CKD has become one of the top causes of mortality worldwide, and is one of the few non-communicable diseases that have seen an increase in related deaths over the last few decades. The high number of affected people and the serious negative consequences of chronic disease should lead to increased efforts to improve prevention and treatment efforts. Around the world, there are an estimated 1,800-1,600 extra deaths per 10000 patients who are on dialysis. Aim: The aim of the study is to determine the psychological distress and self-esteem among dialysis patients. Research Methodology: A quantitative cross-sectional investigate plan was utilized to conduct a research study among 30 dialysis patients. Convenient sampling techniques were utilized to collect data from standardized tool using questionnaire techniques. Result: Study showed that 36.7% of the samples were doing well, 23.3% had mild psychological distress, 23.3% of the samples had moderate psychological distress and severe distress is seen in 16.7% of the samples. 73.3% of them had normal self-esteem, 20% of the study population had low self-esteem and 6.7% had above average self-esteem. Significant relationship is seen between social and family support with self-esteem (p=0.033). Conclusion: About half of the samples were having psychological distress which is of mild and moderate, severe psychological distress were seen in 16.7% of the samples, ordinal self-esteem were seen in 73% of the samples, 27% of samples had mild and average self- esteem.
Introduction : Mutual health insurance constitutes a micro-insurance system which facilitates access to care by avoiding direct payment. They represent one of the pillars of our Universal Health Coverage. After years of existence and despite political commitment, community support for mutual health insurance remains low until now. The objective of our work was to study the factors linked to the membership of mutual health insurance companies in the Thiès region and to propose solutions. Methodology : The study was cross-sectional, descriptive and analytical. It was carried out among a sample of 1,300 people, residing in the Thiès region for at least 6 months, chosen following a three-stage cluster survey. A questionnaire was used to collect data related to predisposing, facilitating and health system factors. These data were entered and analyzed using SPSS version 21 software. The significance value was P < 0.05. The Odds ratio was used to measure the strength of the link. Results : The average age is 42 years and among the people surveyed 75.3% lived in an urban area, 84.5% claimed to know mutual insurance companies. The number of dependent children among the people surveyed was 9 and 90% had an income-generating activity, married people were 82.9% and 78.2% were educated. The mutual penetration rate was 69.3%. The analysis showed that membership in mutual health insurance was significantly influenced by the area of residence with P < 0.001 [OR: 2.0; CI:1.4-2.8], by age group with P < 0.001[OR:1.4; CI:1.1-2.0], by income-generating activity with P < 0.001 [OR:2.1; CI:1.1-4.1], by knowledge of a mutual with P < 0.001 [OR:81.6; CI: 42.2-157] and education with P < 0.001 [OR: 1.9; CI: 1.3-2.6]. Membership was also associated with marital status and the number of children in care with P < 0.001 and P < 0.002 respectively. Conclusion : This study made it possible to evaluate the penetration rate of mutual health insurance in the Thiès region in 2023, but also to identify the factors associated with membership in a mutual health insurance. Strengthening communication and targeted awareness and improving the level of knowledge of the populations will help to boost the level of support of the populations of the Thiès region.
The concepts of sustainability and sustainable development have acquired great relevance in scientific research about environmental issues, policies linked to environmental management, and industrial and agricultural production, among others. Although these two concepts are frequently used as synonyms, they are immersed in debates regarding their meaning and their possibilities for application to real systems. This review analyzes the main theoretical definitions of both concepts, together with their potentials and limitations, emphasizing the differences between their meanings. A bibliographic search was carried out in the Web of Science database and other sources from official organizations of international relevance and authors referenced by them. The works providing substantive definitions of sustainability and sustainable development from a complexity theory perspective were selected for discussion throughout the article. The main results showed a strong criticism of the concept of sustainable development due to its imprecise definition, the emergence of the concept of sustainability in the debate of the 1990s and its consolidation in certain fields of knowledge, and the emergence of new alternatives to sustainable development such as degrowth and buen vivir. The results also show the potential of the concept of sustainability as a still-developing framework for scientific research and environmental management.