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GUI-Based Percentage Analysis forCuring Breast Cancer Survivors
The modeling approach is increasing the intensity of research in all the domains. The present paper deals with predictive modeling and probabilities. Data analysis is a technique used to transform, reconstruct, and revise some information that is an essential step to achieve the goal or the end result. The present study involves the usage of logistic regression technique for data analysis. Various domain-specific methods pertaining to science, business, etc., are available for data analysis which plays a key role in decision-making and model building. The significance of this analysis is to get the percentage of the survival of patients with advanced breast cancer. 2020, Springer Nature Singapore Pte Ltd. -
Analysis of the pooled effect of compression ratio and injection timing variation on conventional diesel engine powered with nano doped biodiesel blend
This research aims to explore how incorporating nanoparticles into a biodiesel-diesel blend influences the performance, combustion, and emission characteristics of a diesel engine under varying conditions, including compression ratios, engine loads, and injection timings. The biodiesel and nanoparticles considered for this investigation are mahua biodiesel and Titanium oxide nanoparticles (TiO2), respectively. The experimental fuel is formulated by blending diesel and mahua biodiesel with the addition of titanium oxide nanoparticles. In this study, compression ratio is varied from 17.5 to 18, whereas fuel injection timing of 20, 23, and 25 BTDCs along with engine load variation of 20%, 40%, 60%, 80%, and 100% are considered. The experimentation utilized a single-cylinder diesel engine equipped with a variable compression ratio (VCR) feature and a power output of 3.5kW. The results indicate that the maximum brake thermal efficiency was achieved at a compression ratio of 18 and a fuel injection timing of 20 before Top Dead Center. For the same setting, the nanoparticle-enriched biodiesel-diesel blend exhibited the lowest levels of CO and HC emissions among all test runs, with reductions of 45.34% and 40%, respectively, compared to standard diesel operation. The Author(s) 2025. -
Northeast and its portrayal in broadcast media - A picture beyond terrorism and insurgency /
Northeast India is a rich home of natural beauty and magnificence surrounding the seven sister states of Assam, Arunachal Pradesh, Meghalaya, Manipur, Mizoram, Nagaland, Tripura and the nearby hilly state of Sikkim. In any case it is a bizarre reality that such an inconceivable region of the nation stays inadequately spoken and noticed in the national cognizance. -
COVID-19: Trend analysis for market arrival of green gram in India
The unprecedented crisis hovering over the world due to Covid-19 pandemic has structurally impacted every sector of the world economy. This paper attempts to study the impact of ongoing pandemic in the agricultural sector specific to pulses in India. This paper finds that there is a significantly negative impact of Covid-19 on the pulses market. The market arrival of pulses has declined in the recent period while market demand for pulses has increased, therefore, there exists a supply side shortage for pulses in the domestic economy of India. This paper suggests that Government of India (Agriculture Department) urgently needs to deal with this shortage in supply of domestic pulses in "mandis" (agricultural markets). In this paper market arrival for pulses particularly green gram (Moong whole) has been forecasted for the next few months in Indian Agricultural Markets with the forecasting techniques such as Auto Regressive Integrated Moving Average (ARIMA) model and Artificial Neural Network (ANN) technique for pre and during pandemic period by using the arrival data in agriculture markets of India from Agmarknet. The results of this study using ARIMA models and ANNs have been compared to obtain the final conclusions with higher visibility in forecasting performance, which shows that there will be a sharp decline in market arrival with an average arrival of 494 quintals per day which can be maximized up to 623 quintals per day by stimulating the modal price at maximum possible point. Therefore, the urgent need of upscaling the technical efficiency of the farmers in different agro-climatic zones is needed to meet the domestic demand with domestic supply. 2020 DAV College. All rights reserved. -
Gut microbes: The miniscule laborers in the human body
Our physical and mental being largely depends on our dietary intake and the manipulations done on food by the gut bacterial flora in the digestive tract. Scientists have discovered a lot of previously unknown facts about the gut microbiota. They have been found to play a role in manifold processes, such as digestion, nutrient conversion, absorption, detoxification, and so on. In fact, people who consume plant-based and animal-based diets will have separate array of gut microbes. The composition of these microbiota will drastically change during a switch to a new diet. Deficiencies of adequate beneficial gut bacterial flora have been associated with many ailments. As there are billions of such microbes in our body, the number of bacterial genes could far outnumber the human genes in our body. The role of gut microbes in the proper functioning of the human digestive and nervous systems and its implications will be discussed in this chapter. 2018 Elsevier Inc. All rights reserved. -
Nanomedicine: Insight analysis of emerging biomedical research and developments
The field of nanomedicine has undergone a revolution owing to the specific optical, electrical, and mechanical behaviors of nanomaterials that are extensively utilized for the detection of biomolecules, improved therapeutics, and imaging of diseased tissues. Different cells have their own unique markers which can be detected by specific nanomaterials which in turn can be used to target micro levels of medicine in precision medicine. Most of the advances in nanomedicine will have effects on the healthcare delivery systems. More works have focused on screening procedures that have better sensitivity and specificity for disease detection, which in turn will greatly improve diagnostic and prognostic domains, thereby reducing healthcare costs. Nanomedicine has the advantages of facilitating early disease detection, quantification of tumor cells and toxicmolecules, delivery of drugs to specific cells like the tumor cells etc. This chapter deals with research and development in nanomedicine which has been a top priority in most of the developed countries, with a view to optimize factors like dose response, efficacy, targeting ability, safety and bioavailability. The Author(s), under exclusive license to Springer Nature Switzerland AG 2023. All rights reserved. -
Multifaceted Anticancer Potential of Trigonella foenum-graecum
The past decade saw a revolution in the discovery of genetic and epigenetic factors paving way for various types of cancers. With a better understanding of the causes, comes a chance of wider possibility of targeting the root causes of cancer. Nature is a storehouse of natural anticancer molecules, many yet to be explored. Trigonella foenumgraecum (fenugreek) is one such plant, having a huge potential for modulating prophylactic and therapeutic aspects of cancer. Cuisines world over make uses of this legume in multiple ways. This small herb has been found to be loaded with many secondary metabolites like diosgenin, coumarin, trigonelline and so on that reduce inflammation, promote apoptosis, act as antioxidants, regulates cell proliferation, etc., thereby reducing the effects of various hallmarks of cancer. Components of T. foenum-graecum extracts have been found to be effective in alleviating both solid tumours and blood cancers. The milieu of phytochemicals present in T. foenum-graecum has already been shown to have antimicrobial, antioxidant and neuroprotective properties by several studies done in different parts of the world. The current chapter attempts to have a comprehensive look at the potential of various bioactive principles in Trigonella foenum-graecum to be used for the prevention and treatment of cancer. In today's global scenario, where cancer incidences are alarmingly rising, such natural remedies would indeed go a long way in preventing various types of cancer and imparting a better quality of life. 2021 Nova Science Publishers, Inc. -
Sustainable approach to life in water: Science and ethics of the oceans
Oceans have always remained a mystery to humankind. We owe the oceans the very air we breathe. Oceans are storehouses of nutrient rich food that can alleviate the hunger of many generations to come, offer rich minerals and medicines to cure many diseases, regulate the temperature of our planet, stabilize weather patterns, and provide livelihood for many in the fishing and tourism industry. But sadly they are overexploited and polluted to the core. The very fact that these mighty oceans have started showing the ill effects of anthropogenic activities itself is testimony to the tremendous greed of humanity. Among all the mighty oceans, the Arctic ocean is the most sensitive and vulnerable to these changes as it holds a pivotal position in maintaining life on Earth by different mechanisms. The Sustainable Development Goal (SDG) 14 of the United Nations underlines the urgent need to conserve marine resources and give equal rights to people in all countries to enjoy these resources. The current review is an attempt to highlight the enormous number of ways in which oceans have helped humankind, the serious threats the oceans are facing now, and how best we can have a sustainable approach to halt the total crashing of our great ocean systems. 2021 Journal of Dharma: Dharmaram Journal of Religions and Philosophies (DVK, Bangalore). -
An impact of antibacterial efficacy of metal oxide nanoparticles: A promise for future
Since its advent, nanotechnology has seen applications in diverse fields including the biomedical domain. Many metal oxide nanoparticles (NP) have shown good antimicrobial properties. Their small size and ability to inhibit a broad spectrum of bacterial species have made them promising candidates in our search of antimicrobial agents. Since, they don't target a specific protein in a microbial species, the chances of the microbe gaining resistance is also less. This is indeed a great advantage over antibiotics, most of which target specific proteins of bacteria. Most of the pathogenic bacteria have gained resistance against commonly used antibiotics. In this context there is a dire need of antimicrobials with a broader spectrum of action. Metal oxide nanoparticles like: ZnO NPs and CuO NPs easily fit into this category. They can suppress microbial growth by reactive oxygen species production, thereby causing damage to biomolecules, cation release, interactions with membrane and ATP depletion. One of the challenges with metal oxide NP is their cytotoxicity. Scientists are in search of degradable and less toxic metal oxide NP. The current review focuses on the relative advantages and limitations of various metal oxides NPs in inhibiting microbial growth. The Author(s), under exclusive license to Springer Nature Switzerland AG 2021. All rights reserved. -
An ancestral genomic locus in Mycobacterium tuberculosis clinical isolates from India hints the genetic link with Mycobacterium canettii
Background: Tuberculosis remains a worldwide public health emergency. To better understand M. tuberculosis and to identify genomic variations characteristic to the Indian clinical isolates by a low-cost method, a genomic subtractive hybridization between M. tuberculosis H37Rv and a clinical isolate from South India was performed. Results: This revealed a novel 0.4-kb subtractive fragment which was used as a handle to pull out a 4.5-kb genomic region characteristic to the clinical isolate and was absent in H37Rv. On further studies, this 4.5-kb region was found to be present in 91% of the M. tuberculosis clinical isolates screened from Kerala, a state in South India. Interestingly, this novel region has 99% identity (with 100% query coverage) with genomic regions of M. canettii. Discussion: The present study hypothesizes that this locus was present in the recent common environmental ancestor of mycobacteria, retained to the maximum extent in M. canettii and ancestral isolates of M. tuberculosis, and later deleted in other modern lineages of M. tuberculosis. Thus, this region may serve as one of the links between the pathogenic mycobacteria and the environmental species. We also propose that the Indian isolates of M. tuberculosis might be closely related to the putative progenitor M. prototuberculosis with respect to this locus. More studies on other genomic loci from different strains of M. tuberculosis are required to establish more links in this direction. 2020, Springer Nature Switzerland AG. -
Agricultural nanotechnologies: Future perspectives of bio-inspired materials
Bio-inspired designs have been used by humankind in understanding and modelling novel materials which have applications in diverse fields like disease diagnostics, drug delivery, agriculture, energy storage, industry, etc. Superhydrophobicity, directional adhesion, structural colour, self-cleaning, antireflection, etc. are some of the useful attributes for which we have relied a lot on nano level biomimetics. Bioinspired nanolevel designs have been explored in the field of agriculture too. Such nanomaterials and nanodesigns have been used to increase crop yields. They also find uses in fertilizer application and replacement of many harmful chemical pesticides, which are generally overused. Increasing population, increased longevity of people and the urgent need for sustainable environment have led to a dire need for exploration and adaptation of such novel technologies which can help in feeding the growing population. Nanoscale products and technologies can also help in reducing the accumulation of excess fertilizers, pesticides, etc. in soil, which can go a long way in cleaning up the environment. The current attempt is intended to portray the latest developments and future possibilities of bioinspired NT in diverse fields of agriculture like synthesis and delivery of novel pesticides and fertilizers, nanocarriers for gene delivery, sensors to monitor and assess soil conditions, plant pathogen detection and plant nanobionics to detect pollutants. 2023 Bentham Science Publishers. All rights reserved. -
Ramifications of Climate Change Induced by Anthropogenic Factors on Global Fish Population Scenario
One of the important consequences of climate change is its effect on the global fish population. Though not very highly pronounced each year, the effect of climate change is of cumulative nature. Global aquaculture is being affected by temperature changes of both water and air. Fluctuations in the ocean surface temperatures, ocean current patterns, wind speeds, and wave directions, all have its impact on aquaculture. Each year we see more and more incidences of extreme weather conditions in different parts of the world, be it in the form of hurricanes, heavy floods, etc. Fishes are subjected to various stress factors which in turn take a toll on its growth and development. This can lead to lower weight gain and increased mortality due to higher susceptibility to diseases. This, coupled with direct unsustainable anthropogenic activities in the oceans and rivers may lead to collapse of the marine and freshwater ecosystem. Recent studies have identified specific regions where marine aquaculture production will be positively and negatively affected. One of the sustainable ways of developing aquaculture in the coming decades would be by developing region-wise strategies to maintain or increase fish population levels and thus meet the global seafood demands even in 2050. The current review is an attempt to assess the effects of ocean warming, ocean acidification, and ocean deoxygenation on the growth, survival, and diversity of marine lifeforms and suggest ways to stop a complete collapse of marine fish population by 2050, the year for which the complete collapse is predicted based on projections. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022. -
Multidrug Resistant Bacteria: The Fatal Menace in Healthcare
Mapana Journal of Sciences, Vol-11 (1), pp. 31-47. ISSN-0975-3303 -
The Latest Technology and its Integration for the Development of Healthcare(Medical)
Healthcare advances that use Artificial Intelligence (AI) to analyze data, use devices, and identify patients offer new possibilities for better patient care, cutting costs, and growing the medical sector. The age of specialized human health tests has begun. It uses noninvasive instruments, sound, visual the use of photography, electronic health tools, embedded health instruments, fluidic diagnostic tracking, and combined data analysis to provide people with tailored medical suggestions. These technologies contribute to early identification and comprehending of health issues linked to chronic illnesses and general health using information analysis and AI-driven ideas. Notable uses include a Parkinson's and Huntington's Under certain circumstances, diabetes, cancer, kidney disease, heart problems, elderly care, and a number of healthcare areas. Industry changes are expected as a result of the latest breakthroughs in outdoor monitors, AI-driven evaluation of data, and healthcare testing technologies. AI systems give data to people and health workers, possibly better their way of life and cutting healthcare costs. These include: tracking the effectiveness of medicines, finding chronic illnesses early, and offering individualized care using medical trends and DNA. In relation to healthcare studies and sensor tracking, this study explains new technologies and advances in diverse fusion methods, materials, and processes. Precise diagnostic info, small merchandise dimensions, and cost are high considerations. Healthcare workers, patients, consumers all benefit from more personal health care services thanks to the merging of AI with information streams. The text highlights both advantages and hurdles while showing the way toward upcoming displays and academic papers that follow a path of growth in the industry. 2024 IEEE. -
Accentuated bioavailability of bioactive compounds in foods by nanotechnology-based delivery approaches
One of the perennial problems faced by the food industry is the poor bioavailability of nutrients, arising generally due to lowered solubility or inadequate absorption by the gastrointestinal tract. Nanotechnology-based encapsulation techniques have shown to significantly enhance the bioavailability of various food bioactive compounds. Targeted delivery of specific nutrients to specific organs, low toxicity, maximization of nutrient uptake, extended release of nutrients, and enhanced texture and flavor are the major advantages of such systems, a few of which are discussed in this review. In keeping with these pertinent paradigms, the current review also highlights how food nanotechnology-based delivery systems ensure efficient bioaccessibility of dietary compounds that otherwise cannot be maximally achieved under in vivo conditions or by using biopolymer-based encapsulation. However, as with any technology, this also comes with its own set of drawbacks and lacunae, which are also presented in the current review. With the surge in global population, emphasis should be placed on optimizing bioavailability of vital food nutrients, catering to Sustainable Development Goals (SDGs) 2 and 3. In a global landscape, a collaborative effort from regulatory bodies, consumers, and manufacturers will enable satisfactory, efficient, and safe commercialization of nanotechnological delivery systems for functional foods and bioactives. 2026 Codon Publications -
Facial emotion recognition using convolutional neural networks
Emotional expressivity has always been a simple job for people, but computer programming is much harder to accomplish. Image emotions may be recognised by recent developments in computer vision and machine learning. In this article, we present a new method to detect face emotion. Use neural networks convolutionary (FERC). The FERC is based on a CNN network of two parts: the first portion removed the backdrop of the image, the second part removed the face vector. The expressional vector (EV) is utilised in the FERC model to detect the fve different kinds of regular facial expressions. The double-level CNN is continuous and the weights and exponent values of the final perception layer vary with each iteration. In that it improves accuracy, FERC varies from widely utilised CNN single-level technology. Moreover, EV generation prevents the development of a number of issues before a new background removal process is used (for example distance from the camera). 2021 -
Human-Centered Insights Into ChatGPT in General Education: A Mixed-Methods Analysis of Scopus Publications
Artificial intelligence has become the need of the hour with balancing technological advancement and the timeless values of critical thinking, creativity, and ethical learning. Educators and students looking for writing assistance, quick access to information, communicating with others, or developing their language skills will consider CharGPT to be the most useful tool. This chapter focuses on user per-spectives, attitudes and concerns towards CharGPT to essentially guide the ethical development. These trends reveal that ChatGPT has rapidly transitioned from a novel tool to a mainstream academic companion, making it imperative to investigate not just its technological potential but its human-centered implications for general education. This study was conducted through a mixed approach with a systematic analysis of Scopus published research. The authors also extracted Scopus published data and analyzed it using NVivo and VOS viewer software. The sentiment analysis proved that the maximum number of studies affirmed positivity emphasizing the wider acceptance of Chat GPT. 2026 by IGI Global Scientific Publishing. All rights reserved. -
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Improved Deep Learning Model for Detection and Classification of Pneumonia from X-Ray Images
Pneumonia is a severe respiratory disease that can lead to inflammation, fluid accumulation in lungs and breathing difficulties, which needs immediate and accurate diagnosis. Chest X-Ray images are a necessary tool to diagnose pneumonia because manual interpretation poses challenges, particularly for radiologists with less expertise. Artificial intelligence (AI), specifically Convolutional Neural Networks (CNNs), has become a significant in the field of pneumonia detection within chest X-Ray images in recent years. This research presents SarNet, a neural network model developed for the identification of pneumonia in chest X-Ray images. The study involved the compilation of dataset containing chest X-Ray images categorized as normal, pneumonia, and COVID-19 pneumonia cases, each accompanied by appropriate annotations. This dataset was employed as the basis for training and assessing SarNet's performance, underscoring its promise in transforming the diagnosis of pneumonia. SarNet proved highly effective, achieving good accuracy, sensitivity, and specificity compared to traditional diagnostic methods. The model's simplicity, with 41 layers, strikes a balance between depth and computational complexity, enhancing efficiency and ensuring accurate pneumonia detection. Furthermore, the study expanded its scope to include COVID-19 pneumonia detection. SarNet achieved an accuracy of 99.15% in binary classification and 94.9% in multiclass classification, including healthy, pneumonia, and COVID-19 pneumonia cases.