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Sustainable Quality Management Systems in Cosmetics: Integrating Green Chemistry and Circular Manufacturing
Get PDFThe entire cosmetic industry undergoes a transformation toward sustainability, with consumers becoming increasingly aware, the market acquiring heavier regulations, and increasing global concerns over the environment. This paper treats Sustainable Quality Management Systems in the cosmetic sector, especially on the synergic interaction between green chemistry and circular manufacturing. Existing QMS models often do not take into account long-term ecological impacts. Hence, there is a need for quality systems precious for product safety and also that look into ethical sourcing and environmental impacts. Such consideration on international regulatory compliance systems with utmost transparency is illustrated through ISO 22716 and the Indian Drugs and Cosmetics Act in the sustainable product development method. Aspects of green chemistry ranging from the prevention of waste, atom economy, and less hazardous chemical syntheses to using renewable feed stocks are evaluated in relation to raw material selection, product formulation, and risk assessment. On the other hand, circular economy strategies put to evaluation are reuse, recycle, and closed-loop supply chain, with case studies provided in reference to prominent players like L’Oreal. The findings point out that cosmetic manufacturers need to implement holistic quality systems with sustainability linked to them so that it can form a basis for competitive advantage and long-term ecological stewardship
Ecological Dynamics and Conservation Strategies for Sustainable Lake Ecosystems
Get PDFLakes are essential freshwater ecosystem that support biodiversity help purify water and play a role inclimate regulation. Their delicate balance is influenced by many factors natural, human andenvironmental. This study explores key elements of lake ecosystem focusing on water quality, pH,nutrient level and habitat structure. Water quality is a direct indicator of lake health. Factors like pH,nutrient buildup and pollution can cause major change. For example, excess nitrogen fromagricultural runoff often led to eutrophication triggering harmful algal bloom like cyanobacteria thatdisrupt the ecosystem. Other threat includes invasive species, habitat loss due to urban developmentand climate change all of which alter species makeup and ecological function. The research alsoemphasizes the role of phytoplankton and zooplankton in lake food webs. Phytoplankton act asprimary producers, while zooplankton which feed on them, help drive nutrient cycling and energyflow. Beyond ecology these organisms have practical uses in aquaculture biofuel and pollutioncontrol. Understanding their relationship and the pressure they face is key to building smartmanagement strategy. Protecting lake means preserving their biodiversity, productivity and theessential service they provide for both nature and people
SOCIAL AND MEDICAL RISK FACTORS OF COVID-19 DISEASE
Get PDFThis study was conducted based on a retrospective study of the medical histories of patients who were hospitalized with a diagnosis of COVID-19 in the Bukhara Regional Multidisciplinary Hospital and the Bukhara Regional Infectious Diseases Hospital in 2020-2022. Like all infectious diseases, COVID-19 has its own social characteristics. That is, in this case, the age of patients, their region of residence, social strata of the population, and gender characteristics can have a different impact on the spread of the disease. The social characteristics of the population directly cause changes in the occurrence of medical risk factors in one way or another during the spread of the disease. In turn, the development of medical risk factors also sharply reduces the effectiveness of treatment for the disease. Therefore, the social and medical factors mentioned above are being studied extensively worldwide. This article discusses the likelihood of developing medical risk factors, analyzing each of the social factors listed above separately
Epidemiological studies on the Incidence and Distribution of Leaf Spot Disease in Ashwagandha (Withania somnifera) Caused by Alternaria alternata
Get PDFMedicinal and aromatic plant Withania somnifera (Ashwagandha), is integral to Indiantraditional medicine and the herbal pharmaceutical industry, owing to their rich content of bioactivecompounds like alkaloids, glycosides, flavonoids. However, their commercial cultivation is severelyimpacted by fungal diseases, particularly foliar infections, which reduce yield, compromise quality,and alter the efficacy of pharmacologically important metabolites. Ashwagandha showed earlydisease symptoms in the 43rd SMW, with severity peaking at 38.77% in the 13th SMW due torainfall and sustained humidity. In Ashwagandha, T9 achieved over 81% control for both metrics atearly stages
IMPACT OF BACILLUS TROPICUS PROBIOTIC ON WATER QUALITY, HAEMATOLOGICAL INDICES AND LIVER ENZYME FUNCTIONS IN OREOCHROMIS NILOTICUS
Get PDFThis study explores the impact of Bacillus tropicus, a probiotic strain isolated from fermented rice on water quality, haematological parameters and liver enzyme activities in Oreochromis niloticus over varying experimental durations. Fish treated with the probiotic exhibited notably lower ammonia and nitrite concentrations in tank water compared to the control. Significant (P<0.05) improvements in red blood cells and white blood cell counts, as well as haemoglobin levels were observed in probiotic-fed fish. Furthermore, a marked reduction in AST and ALT enzyme level was noted in probiotic fed fish group over the control suggesting enhanced liver health in the experimental group
Response of nutrients level and pruning intensity on vegetative growth of Apple ber (Ziziphus mauritiana L.) under sodic soil condition
Get PDFThe experiment was carried out at the Main Experiment Station, Department of Fruit Science, Acharya Narendra Deva University of Agriculture and Technology, Kumarganj, Ayodhya, U.P., during the years 2023-24 to 2024-25. To find out the response of nutrient level and pruning intensity on vegetative growth of Apple ber (Ziziphus mauritiana L.) under sodic soil conditions. reproductive growth, and yield of Apple ber (Ziziphus mauritiana L.) under sodic soil conditions. The treatments investigated the effects of varying pruning intensities 4 buds, 6 buds, and 8 buds combined with foliar application of nutrient, time of spraying July-August (Pre-flowering stage), and Oct. (Fruit set stage) application, including boric acid, and zinc sulphate, both were used at 0.2%, 0.4% concentration, and control. The treatment interaction with P4: 8 buds pruning intensity and Nutrient RDF NPK 19: 19: 19 + boron 0.2% and zinc 0.4% (P4×N3) demonstrated the most significant increase in vegetative growth, showing such as shoot length cm (278.49 and 280.79) in 2023-24 and 2024-25 respectively. The study provides valuable insights into optimizing the Ber plant vegetative growth through targeted pruning and nutrient management practices
EXPLAINABLE TWO-STAGE VISION TRANSFORMER FRAMEWORK FOR CORAL REEF DISEASE DETECTION AND INTERPRETATION
Get PDFCoral reefs are increasingly threatened by climate change and diseases like white band disease. Accurate monitoring of coral health is essential for effective conservation. Several machine learning and deep learning models have been developed for coral reef monitoring, achieving high accuracy. However, most existing models lack interpretability and do not provide insight into the reasoning behind their predictions. To address this limitation, this paper proposes a novel architecture for coral reef type classification and white band disease detection using a two-stage Vision Transformer (ViT) framework combined with Explainable Artificial Intelligence (XAI) technique. Coral reef images undergo preprocessing to enhance quality, followed by augmentation to expand the dataset and improve model robustness. These processed images are fed into the two-stage ViT framework for feature extraction and classification. In the first stage, the model identifies the type of coral reef. In the second stage, the original image is analyzed together with the stage one output to detect the presence of white band disease. Performance of the proposed model is evaluated using standard metrics, including accuracy, precision, recall, and F1-score. Grad-CAM visualization is employed to highlight the regions influencing the model’s decisions, providing interpretability and increasing trust in predictions. Experimental results demonstrate that the proposed framework not only accurately classifies coral reef types but also effectively detects white band disease with higher performance compared to existing methods. The integration of XAI and two-stage ViT architecture enables both precise predictions and interpretable results, making the framework a valuable tool for coral reef monitoring and conservation efforts.
Coral reef classification, Deep learning, Explainable artificial intelligence, Grad-CAM, Vision transforme
AN EFFICIENT BREAST CANCER PREDICTION SYSTEM USING A MODIFIED DEEP NEURAL NETWORK (DNN)
Get PDFA quantum inspired modification of the Deep Neural Network (DNN), for breast cancer prediction is presented; it exhibits improved convergence and classification accuracy. With softmax output activation, it maps patient feature vectors to probability distributions over cancer subtypes in a multi layer architecture. The backpropagation is used to minimize the categorical cross entropy loss function, thus calculating the weight and bias gradient updates. The weight update rule is transformed by a unitary matrix in such a way that they are better stable and robust, applying a quantum inspired transformation. Quantum regularization is incorporated in the gradient update equation so as to eliminate the vanishing gradients and have better generalization. The proposed pseudocode outlines the forward propagation, loss computation, backpropagation, and novel weight update process. The Quantum Computing based Deep Neural Network (Q-DNN) is found to be better than traditional DNN for classification accuracy, convergence speed and resilience to local minima, which makes it a potential progress towards breast cancer detection with deep learning.
KEYWORDS:
Breast cancer, medical diagnosis, quantum computing, deep learning, accuracy, and multilabel classification
THE BIOLOGICAL ACTIVITIES OF THE MEDICALLY IMPORTANT GRASS CYPERUS ROTUNDUS
Get PDFResearchers are increasingly interested in exploring herbal medicines for human as well as animal health advantages. Pharmacologically powerful and low or no side-effects for preventive medication are medicines that are acquired from natural sources. Cyperusrotundus L. is an important medicinal plant, especially utilised in medicine in the Unani system.It is popularly known in tropical, subtropical and temperate countries as moth which is a raspberry grass. Flavonoids, tannins, glycosides, furochromones, monoterpenes, sonoros, sitosterols, alkaloids, saponins, terpénoidos, essential oils, starches, carbs, proteins and many more secondary metabolites are the major chemical components included in this plant. Several pharmacological activities, such as antibacterial, anticancerous, anti-convulsant, antidiabetic, anti diarrheal, anti-inflammatory, anti-lipidemic, antimalarial, antimutagenic have been found to have numerous components of Cyperusrotundus, antidiabetes, Antiobesity, antioxidants, anti-European pathogens, cardioprotective, neuroprotective and nootropic agents. Antiobesity. In this study we examine the biological and therapeutic properties of Cyperusrotundus.
KEYWORDS:
Cyperusrotundus, Medicinal plants, Biological activities, Phytochemistr
ECOLOGICAL ASSESSMENT OF CORAL–ALGAL PHASE SHIFTS IN PALK BAY, SOUTHEASTERN INDIA
Get PDFCoral reef ecosystems are undergoing significant degradation worldwide due to a combination of natural and anthropogenic stressors. Key threats include climate change-induced bleaching, coral diseases, pollution, overfishing, and destructive fishing practices. One of the most critical consequences of these stressors is the phenomenon of coral–algal phase shifts, wherein macroalgae replace live corals. While extensively reported in regions like the Caribbean and the Great Barrier Reef, documentation from Indian coastal waters remains limited. This study investigates the occurrence and extent of coral–algal phase shifts along the Palk Bay coast, southeastern India. Using field surveys across three sites—Munaikadu, Thonithurai, and Olaikuda—benthic cover data and biodiversity indices were assessed, alongside nutrient analysis. Our results indicate a significant increase in macroalgal dominance, particularly post-bleaching events, with Munaikadu and Thonithurai exhibiting the highest stress indicators. The findings underscore the role of nutrient enrichment, fishing pressure, and reef zone depth in influencing coral resilience. This study highlights the urgent need for targeted conservation strategies to prevent irreversible reef phase shifts in Indian waters.
KEYWORDS:
Coral Reefs, Palk Bay, Seaweed, Algal Blooms, Macroalgal Dominanc