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Research Status and Development of Assembled Lightweight Steel Composite Structures
No full textPrefabricated lightweight steel composite structures are characterized by efficient load-bearing, seismic energy-saving, and eco-friendly attributes, primarily used in low-rise and multi-story buildings, adapting to the development of modern architectural industrialization. This review covers the development process, system composition, and current research status of structural seismic performance for typical prefabricated lightweight steel composite structures, including prefabricated cold-formed thin-walled steel structures, prefabricated lightweight steel-lightweight concrete structures, and prefabricated lightweight steel composite frames - lightweight steel composite shear wall structures. The analysis includes the technical features, standard systems, and current environmental applications of the aforementioned structures, raises several issues in the research of prefabricated lightweight steel composite structures, and provides a research outlook for the future development direction of prefabricated lightweight steel composite structures
Surface and Subsurface Structural Mapping of Lokoja Central Nigeria Using Airborne Magnetic and Remote Sensing Data
No full textThe main goal of this research is to evaluate the surface and subsurface structural framework of Lokoja and its surroundings using airborne magnetic and Shuttle Radar Topographic Mission (SRTM) data by applying image processing techniques. To explicate our aim, the residual magnetic intensity (RMI) data was reduced to a magnetic pole (RTP) to centre the anomalies above their causative source after which, the data was subject to the first vertical derivative filter and 3D Euler deconvolution method with structural index (SI =1) where the subsurface structures were delineated, using Oasis Montaj software. Four (4) shaded relief images were created with light sources emanating from four different directions to identify linear terrain features in the SRTM data at a solar azimuth of 0° and a solar elevation of 45°. Others 90°, and 135° followed by creating a composite shaded relief image of all four. The PCI Geomatica edge detection algorithm was applied to the composite shaded relief image produced. After thresholding and filtering processes, structural lineaments were extracted from the edges of the image by subjecting it to the line algorithm of PCI Geomatica. ArcGIS v10.7.1 was used to assign geometry to both magnetic and SRTM structures delineated. The resulting structural lineaments were subjected to Rockworks where a rose diagram that depicts structural trends within the study area was produced. The lineaments delineated allow us to decipher that the area is dissected by numerous subsurface and surface linear structures and these lineaments trend predominantly in the NE-SE, WSW-ENE, NW-SE, and NNE-SSW directions. Overlying the lineaments drawn from the pair of data sets showed several sites of structural coincidence that are thought to be structural continuation locations where subsurface fluids such as water will migrate directly to the surface
An Application of Markov Chain Analysis to Study the Indian Cocoa Products Export Performance
No full textThe paper attempts to quantify the changing structure of Indian cocoa product exports. Data for analysis was considered for a period of 10 years from 2013-14 to 2022-23. The growth rates of exports of Indian cocoa products to Nigeria, Indonesia, USA, UAE, The Netherlands and other countries have shown a positive trend. The Markov chain analysis was attempted through the linear programming method to assess the transition probabilities for the major cocoa markets. The results revealed that Nigeria, Nepal, UAE and other countries were stable markets for Indian cocoa export products. Whereas, Indonesia and The Netherlands were the least stable markets based on the magnitude of transition probabilities. The export share predictions for 2025-26 behaved stagnant while also increasing slightly for major destinations
Assessing Financial Inclusion Impact on Economic Empowerment in Pondicherry: A Study on Banking Scheme Beneficiaries
No full textThe Indian banking industry today is quite robust and strong to be able to take on the challenges of achieving greater financial inclusion. Access to affordable financial services, such as credit and insurance enlarges livelihood opportunities and empowers the poor to take care of their lives. These empowerment aids will create social and political stability. Customers who are account holders in Indian bank under financial inclusion scheme in Pondicherry formed the population of the study. The bank stated that thousands of customers were covered under this scheme. Since the study focus only on individual account holders, of financial inclusion. List of individual account holders was obtained from the bank case firm. Majority (60 per cent) of the respondents’ income was in the range of around Rs. 3,000 – 5, 000 per month. 64 per cent of sample respondents were living in the concrete roofed houses. About 37 per cent of respondents were visiting the bank once in a month followed 33 per cent visits as and when it requires. The economic empowerment index revealed that there was no significant improvement in the savings pattern, increase in income and housing condition and it was found that there was slow and insignificant level of economic empowerment taking place among the socially disadvantageous people even after the financial inclusion under NPPFI scheme implemented by banks. It could be concluded that the scheme had not brought any significant change in the life style and economic status of the people who are supposed to be its beneficiaries
Cross-cultural Communication Barriers in Zambian Healthcare: Implications for Patient Care
No full textSome members of the Zambian society have frequently raised concerns over errors and delays observed during the treatment of patients in clinics and hospitals. They have argued that these challenges could have been caused by inadequate communication between the medical staff and their patients. This article looks specifically at the cross-cultural communication barriers that are found in healthcare and their implications on patient care. In this study, we focus on a number of cross-cultural challenges that have frequently hindered effective communication between health care providers and their patients in two public medical facilities in our Country. The study specifically concentrated on two public health institutions, namely: Katondo clinic and Kabwe General Hospital. A qualitative research design was deemed most appropriate, because it allowed for a deep exploration of the subjective experiences and perspectives of both healthcare workers and patients. Semi-structured interview questions were used to gather in-depth insights from participants. In addition, observations of interactions between healthcare providers and their patients at Katondo Clinic and the General hospital were also conducted as part of the study. We thereafter analysed data collected. The findings of this research work revealed that the main cross-cultural barriers to communication are language, ethnocentrism, conflicting value and psychological issues, just to mention a few. The results further revealed a number of serious linguistic and cultural challenges hindering communication between the medical staff and their patients, such as language differences, limited or absence of professional interpreting services, as well as inadequate cultural and linguistic competence among the medical experts. These challenges have, in many instances, resulted in inappropriate health service delivery. Many a scholar have argued that language plays an important role in human organisations such as the Ministry of Health. This study concluded, inter alia, that a deliberate language policy framework should be developed, in order to address the communication challenges between the health care providers and their patients in Zambia. It should be hoped that once the language policy has been put in place, it will significantly reduce the communication challenges between the two parties. Furthermore, Health facilities should consider training or employing qualified interpreters
Status and Challenges of Agripreneurship: Relevance in COVID-19 Pandemic
No full textGlobal pandemic COVID-19 severely impacted the agricultural economies of all countries, including India. The paper covers the current status of agribusiness in India and how it has emerged as a major indicator for growth and development during the pandemic. In India, MANAGE has trained 72,806 agri-graduates in agripreneurship, and as of December 2020, there were 30,583 (42%) active agriventures around the world. Majority of farmers have lost their markets as a result of lockdown, and due to travel limitations, lack of training and consulting services resulted in crop loss, high produce prices, and labour scarcity. Agri Bazaar, Harvesting Farmer Network, Agricx Lab, CropIn, Bigbasket, Agrostar, Sickle Innovations, Agrirain, Farmguide, and PayAgri are few Agri-startups that arose in India during the pandemic to address the issues that farmers faced. Reorienting current agriculture towards agribusiness within the existing opportunities has the potential to significantly alter the lives farmers and its stakeholders as agripreneurship has demonstrated the path to farmer growth and sustainability even during the pandemic
A Review on Consumer Patterns and Behaviours’ Towards Generic Medicines
No full textGeneric medicines have become an important topic in healthcare due to their potential to reduce costs while providing equivalent treatment to branded drugs. This review article investigates consumer patterns and behaviors related to generic medicines, focusing on awareness, purchasing factors, and satisfaction levels. The research employs a systematic literature review methodology, analyzing peer-reviewed journals, government reports, and industry studies on generic medicines and consumer behavior. Various statistical techniques, such as percentage analysis, chi-square tests, factor analysis, Garrett ranking, and Likert scales, are used to summarize demographic profiles, examine relationships, identify influencing factors, prioritize purchase constraints, and measure satisfaction levels. Key findings reveal that consumer awareness of generic medicines varies widely, influenced by factors such as age, education, and exposure to information from healthcare providers. Government initiatives like India\u27s Pradhan Mantri Jan Aushadhi Yojana aim to increase access to affordable generics, yet awareness remains limited in some areas. Price is a major motivator for purchasing generics, but other factors like perceived quality, doctor recommendations, availability, and prior experience also play significant roles. Generally, consumers express positive experiences with generics, citing effectiveness, cost savings, and quality. However, some consumers and healthcare providers harbor concerns about the safety and efficacy of generics compared to branded versions. This review underscores the need for ongoing efforts to enhance consumer confidence in generics through education and awareness campaigns, ensuring the success of initiatives aimed at making essential medicines affordable and accessible to all
Utility of Parthenocarpy in Vegetable Crops: A Review
No full textParthenocarpy is a phenomenon observed in vegetable crops where fruits are produced without fertilization or pollination. This process leads to the development of seedless fruits, which are highly desirable in the market due to their convenience and improved quality. In parthenocarpic vegetables such as cucumbers, tomatoes and eggplants, fruit development occurs without the need for pollination by insects or wind. This can be advantageous in areas with limited insect activity or in greenhouses where pollinators may not be present. The development of parthenocarpy in vegetable crops is influenced by both genetic and environmental factors. Certain cultivars have been bred to exhibit this trait, while others may require specific environmental conditions such as temperature and light to induce parthenocarpy. One of the key benefits of parthenocarpy is the production of seedless fruits. This is particularly important in seedless cucumber varieties as it eliminates the need for seed removal, making them more convenient for consumption. Seedless tomatoes and eggplants also offer improved texture and taste as the absence of seeds reduces bitterness and enhances sweetness. Parthenocarpy can help improve crop yields and reduce crop losses. Since parthenocarpic fruits develop without pollination, they are less prone to damage caused by pests and diseases that target developing seeds. This can result in higher yields and better overall crop quality. However, it is important to note that parthenocarpy may have some limitations. In some cases, seedless fruits may be less flavorful compared to their seeded counterparts. Additionally, parthenocarpic varieties may require specific management practices and careful monitoring to ensure optimal fruit development
Yield Gap Analysis and Impact Assessment of Ginger in Arunachal Pradesh, India
No full textThe ginger is a prominent crop in Arunachal Pradesh. Beside the good climatic conditions, farmers are not getting proper income due to old variety and unscientific cultivation practices. Keeping in views the things, Krishi Vigyan Tirap (KVK) conducted a demonstration on ginger (variety: Nadia) at selected villages in Tirap district of Arunachal Pradesh during 2021-22 and 2022-23 respectively. Before demonstration a field survey was carried out to know the ground reality farmer’s practice of ginger. During first years of demonstration the total 15 numbers of plots were demonstrated having per plot size of 0.20 ha 0,20 ha while 20 plots were second years with same size of plots. The demonstration yield was recorded as 118 q/ha & 142 as compared 99 & 108 q/ha respectively. The B:C ratio was 5.68 & 7.01 as compared 3.27 & 3.66
A Survey of AI Methods for Detection of DDoS Attacks on Networks
No full textThis survey explores various artificial intelligence (AI) methods for detecting Distributed Denial of Service (DDoS) attacks on networks. It classifies these approaches into machine learning, deep learning, and other AI-based techniques, providing a comprehensive overview of current advancements in the field. Numerous research studies in the field of machine learning have evaluated DDoS attack detection performance using various datasets and techniques. Some noteworthy results are the supremacy of the J48 algorithm in SDN networks and the efficacy of the AdaBoost and Gradient Boost classifiers. In other investigations, Random Forest, Support Vector Machine, and Naive Bayes also showed excellent accuracy rates, up to 99.7%. To improve DDoS detection, deep learning techniques introduced autoencoders, hybrid models, and recurrent neural networks. These models achieved accuracy rates as high as 99.99%, frequently outperforming more conventional machine learning techniques. Enhanced detection rates were achieved by the utilization of a varied dataset in conjunction with deep-stacked autoencoders. Artificial intelligence methods such as Fuzzy Logic, Artificial Bee Colony, Ant Colony Optimization, and Whale Optimization Algorithm were used to identify DDoS assaults. These methods demonstrated high accuracy rates, efficient detection of various attack types, and improvements in reducing false positives; the integration of these techniques into intrusion detection systems offers a strong defense against dynamic DDoS threats. The overall survey highlights the effectiveness of AI techniques in DDoS attack detection across various methodologies