Volume 11 | Issue 7 |

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Abstract Cervical spondylosis is a condition that is responsible for neck pain and discomfort to wide range of people from teenager to old age. Early it was considered that it mainly affect the middle age peoples but know due to change in lifestyles and use of electronic devices in education sector and professional sector has increased person suffering from it . There are various ways by which it can be treated and managed so in this article we have reviewed various ways of physical therapy and six types of yoga asana for its management.

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Key words: Cervical Spondylosis, Physical therapy, Yoga, Neck pain and lifestyle

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Fish are the most abundant vertebrate species on the planet and are the best source for protein and other protein derivatives along with other amino acids and fatty acids. Fishes also contribute in GDP of our country, can influence our economy directly and indirectly which are frequently found infected with a parasites; Trematoda, Nematoda, Cestoda, and Acanthocephala; causing infectious diseases. Among different fish diseases, Gyrodactylussalaris, Ichthyophthirius multifiliis, flukes, are most ubiquitous in fish population that causes huge death. In case of harsh illness by parasites. The major parasitic groups found in freshwater fishes are Monogenia, cestodes, Acanthocephalans, protozoans and nematodes. In the present study, the prevalence of helminth parasites has been observed two freshwater fishes Channa punctatus and Wallago attu. Live fresh specimens of Channa punctatus and in Wallago attu of all sizes, weight and sex were collected from river gomti, Lucknow. A total of 90 fishes were examined for the presence of helminth parasites in which a total no. of parasites found in Channa punctatus was 50 and in Wallago attu was 40. In case of Channa punctatus (Bloch) 44% of total collected fishes and in Wallago attu 37.5% of total collected fishes were found to be infected with helminth parasites.

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Channa punctatus, river Gomti, Freshwater fishes, Wallago attu

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Green synthesis of nanoparticles is a promising and sustainable approach to nanoparticle production, addressing the growing need for environmentally friendly methods in nanotechnology. This review paper analyzes current state-of-the-art techniques, including plant extracts, microorganisms, and bio-waste materials, and highlights their advantages over conventional synthesis approaches. Green synthesis offers numerous benefits, including reduced energy consumption, the avoidance of hazardous chemicals, and minimal toxic byproducts. It also opens up new possibilities for applications in biomedicine, catalysis, environmental remediation, agriculture, and electronics. Characterization techniques are used to assess the size, shape, and structure of green-synthesized nanoparticles, and real-world case studies highlight their potential impact on various industries and environmental sustainability. However, challenges related to reproducibility and scalability remain, but interdisciplinary efforts and innovative strategies offer promising prospects for addressing these limitations. In conclusion, green nanoparticle synthesis is viable for sustainable nanoparticle production with diverse applications.

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Nanoparticle, green synthesis, sustainable, characterization technique, environment

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The research aims to find an alternative to expensive and environmentally damaging cement in the construction industry by investigating the impact of incorporating waste engine oil (WEO) and fly ash (FA) on the engineering properties of green and hardened concrete. The study found that the addition of FA and WEO improved properties such as workability, air content, and porosity, but adversely affected compressive strength. The optimum content of FA and WEO was found to be 40% and 0.5%, respectively, with the least decline in compressive strength. The proposed modification also diminished segregation, bleeding, and the effect of freeze-thaw cycles. This research has significant implications for the construction industry and the environment. By finding a viable alternative to cement, it could potentially reduce the demand for cement and subsequently decrease the carbon emissions produced during its production. The use of waste materials such as WEO and FA can also help reduce waste and provide a more sustainable solution for the construction industry. The findings of this research could inspire further investigation into the use of alternative materials in the construction industry to mitigate its environmental impact.

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Fly Ash, Waste Engine Oil

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The automobile industry is one of the most important drivers of economic growth in India and one with high participation in global value chains. Even though the industry contributes nearly half of the manufacturing GDP of the country, on the other side the skyrocketing increase in sales of the automobile industry has been putting pressure on environmental sustainability, especially with reference to fossil fuel-burning vehicles. Shifting to electric vehicles is the much-discussed solution to the problem. The present study aimed to find out the effects of fossil fuel-burning vehicles and the role of electric vehicles on environmental sustainability. The study suggests that it is high time to turn to the electric vehicle era to ensure environmental sustainability and make nature fit for the coming generation.

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Passenger Vehicles, Automobile Industry, Sustainability

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Medical waste, characterized by its toxic and infectious nature, poses significant hazards to the environment and human populations. In contrast, nature demonstrates self-cleansing abilities in healthy ecosystems, perpetuating sustainability. To address the environmental impact of medical waste, adopting Clean Production and Zero Waste systems can effectively reduce, reuse, and recycle waste, contributing to a more sustainable environment. However, hazardous waste from healthcare establishments presents unique challenges in proper treatment and disposal. India, in particular, faces significant biomedical waste management challenges, especially in rural areas with inadequate infrastructure. This research paper reviews the current scenario of biomedical waste management in India, with a focus on incineration as a disposal method. Incineration, while reducing waste volume, releases toxic gases and heavy metals, posing health and environmental hazards. Alternative technologies, such as immobilization, wet chemical treatment, and microbial-based remediation, are being explored to make toxic residues inert and suitable for safe disposal or reuse. The reuse of incinerator ash in construction and agriculture is also being investigated. The study isolates metal-tolerant microorganisms and assesses their potential for remediating metal-contaminated waste. Promising results show that certain microorganisms can significantly reduce alkalinity, hardness, and chloride content in biomedical waste ash, making them potential candidates for remediation. Moreover, the mixture of biomedical waste ash with soil exhibits positive results for plant growth, particularly in a 4% ash-soil mixture. The research highlights the importance of proper waste management practices and the exploration of environmentally friendly alternatives to incineration. It emphasizes the significance of adopting cleaner technologies and leveraging microbial activities for sustainable waste management and environmental protection. Future research should focus on optimizing treatment conditions to enhance heavy metal removal efficiency further. By promoting sustainable waste management practices, the healthcare sector can contribute to a safer and healthier environment.

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Biomedical Waste, microbes, heavy metals

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In the era of rapidly advancing technology and digital transformation, understanding the perceptions and behaviors of digital consumers has become paramount for businesses seeking to thrive in the digital landscape. This abstract provides an overview of a comprehensive perception study that delves into the intricacies of consumer attitudes, preferences, and decision-making processes within the digital realm. Through surveys, a diverse sample of 100 digital consumers is gathered, ensuring representation across various demographics and digital proficiency levels. The research explores several key aspects, including: 1. Digital Experiences: Investigating consumers' experiences while interacting with digital platforms, websites, mobile applications, and social media. Understanding how user-friendliness, aesthetics, and functionality influence their overall perceptions. 2. Trust and Security: Analyzing the factors influencing consumers' trust in digital transactions, data privacy concerns, and the impact of security measures on purchasing decisions. 3. Personalization: Assessing consumers' receptiveness to personalized content, targeted advertising, and the fine balance between personalized experiences and privacy concerns. 4. Social Influence: Exploring the role of social media in shaping consumers' perceptions, brand loyalty, and the impact of influencers on purchasing behavior. 5. E-commerce Adoption: Studying the factors driving the adoption of e-commerce platforms, including consumer motivations, perceived risks, and barriers to entry. The findings of this perception study are expected to provide valuable insights for businesses aiming to enhance their digital strategies, tailor marketing approaches, and foster meaningful connections with their digital consumer base. Furthermore, the study contributes to the broader understanding of the dynamic relationship between consumers and the ever-evolving digital landscape, laying the groundwork for future research in this rapidly evolving field.

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digital marketing, consumer buying behavior, qualitative research, quantitative research, patterns, attitude, perception, barriers, purchase decisions

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Event-driven architectures (EDAs) allow real-time responses to state changes in a software system. EDAs allow for proactive responses to issues, while also generating data that organizations can use to make predictions and decisions. Event-driven architectures and decision systems have applications across sectors as diverse as retail, finance, crisis management, and manufacturing. There are costs and challenges associated with event-driven architectures; however, in the proper use cases and with proper implementation, the benefits of real-time decision making outweigh the costs. An increasing number of software tools and frameworks combine EDAs with predictive analytics and mining of historical data to make accurate, real-time decisions.

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Event-driven architectures, events, decision-support system, big data, internet of things

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Health professionals identify cervical cancer as a potentially fatal condition. Patients' valuable lives are at risk due to the difficult late diagnosis and treatment. The formal screening for disease identification suffers in both industrialized and developing countries because of high medical costs, a lack of healthcare facilities, social norms, and the late onset of symptoms. Early diagnosis of various different diseases, including cervical cancer, is possible because to machine intelligence. It is also cost-effective and computationally cheap. Modern, time-consuming medical treatments are not necessary for the patients, and machine intelligence can help with early cervical cancer diagnosis. The reliance on a single classifier's prediction accuracy is the issue with the present machine classification approaches for illness identification. Due to bias, over-fitting, improper treatment of noisy data, and outliers, the use of a single classification method does not guarantee the best prediction. In order to provide an appropriate diagnosis that addresses the patient's symptoms or problems, this research study presents an ensemble classification method based on majority voting. In the study, a variety of classifiers, including Support Vector Machine (SVM), Random Forest (RF), and Logistic Regression (LR) classifiers, are put to the test. The study shows an increase in prediction accuracy of 94%, which is significantly higher than the prediction accuracies of individual classification methods tested on the same benchmarked datasets. As a result, the suggested paradigm grants health professionals a second opinion to aid in the early diagnosis and prompt treatment of diseases.

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Machine Learning Algorithms, Classifiers, Cervical Cancer, Ensemble Classification.

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Creative Commons Attribution 4.0 and The Open Definition