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2,136 result(s) for "karthick, S"
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IoT-based COVID-19 detection using recalling-enhanced recurrent neural network optimized with golden eagle optimization algorithm
New potential for healthcare has been made possible by the development of the Internet of Medical Things (IoMT) with deep learning. This is applied for a broad range of applications. Normal medical devices together with sensors can gather important data when connected to the Internet, and deep learning uses this data to reveal symptoms and patterns and activate remote care. In recent years, the COVID-19 pandemic caused more mortality. Millions of people have been affected by this virus, and the number of infections is continually rising daily. To detect COVID-19, researchers attempt to utilize medical imaging and deep learning-based methods. Several methodologies were suggested utilizing chest X-ray (CXR) images for COVID-19 diagnosis. But these methodologies do not provide satisfactory accuracy. To overcome these drawbacks, a recalling-enhanced recurrent neural network optimized with golden eagle optimization algorithm (RERNN-GEO) is proposed in this paper. The intention of this work is to provide IoT-based deep learning method for the premature identification of COVID-19. This paradigm can be able to ease the workload of radiologists and medical specialists and also help with pandemic control. RERNN-GEO is a deep learning-based method; this is utilized in chest X-ray (CXR) images for COVID-19 diagnosis. Here, the Gray-Level Co-Occurrence Matrix (GLCM) window adaptive algorithm is used for extracting features to enable accurate diagnosis. By utilizing this algorithm, the proposed method attains better accuracy (33.84%, 28.93%, and 33.03%) and lower execution time (11.06%, 33.26%, and 23.33%) compared with the existing methods. This method can be capable of helping the clinician/radiologist to validate the initial assessment related to COVID-19. Graphical Abstract
Developmental Formulation Principles of Food Preservatives by Nanoencapsulation—Fundamentals, Application, and Challenges
The role of food additives is to preserve food by extending shelf life and limiting harmful microorganism proliferation. They prevent spoilage by enhancing the taste and safety of food by utilizing beneficial microorganisms and their antimicrobial metabolites. Current advances in food preservation and processing utilize green technology principles for green preservative formulation, enhancing nutrition and supplying essential micronutrients safely, while also improving quality, packaging, and food safety. Encapsulation is gaining attention for its potential to protect delicate materials from oxidative degradation and extend their shelf life, thereby ensuring optimal nutrient uptake. Nanoencapsulation of bioactive compounds has significantly improved the food, pharmaceutical, agriculture, and nutraceutical industries by protecting antioxidants, vitamins, minerals, and essential fatty acids by controlling release and ensuring delivery to specific sites in the human body. This emerging area is crucial for future industrial production, improving the sensory properties of foods like color, taste, and texture. Research on encapsulated bioactive compounds like bacteriocins, LAB, natamycin, polylysine, and bacteriophage is crucial for their potential antioxidant and antimicrobial activities in food applications and the food industry. This paper reviews nanomaterials used as food antimicrobial carriers, including nanoemulsions, nanoliposomes, nanoparticles, and nanofibers, to protect natural food antimicrobials from degradation and improve antimicrobial activity. This review discusses nanoencapsulation techniques for biopreservative agents like nisin, poly lysine, and natamycin, focusing on biologically-derived polymeric nanofibers, nanocarriers, nanoliposomes, and polymer-stabilized metallic nanoparticles. Nanomaterials, in general, improve the dispersibility, stability, and availability of bioactive substances, and this study discusses the controlled release of nanoencapsulated biopreservative agents. Graphical Abstract
Asian American Political Participation
Asian Americans are a small percentage of the U.S. population, but their numbers are steadily rising—from less than a million in 1960 to more than 15 million today. They are also a remarkably diverse population—representing several ethnicities, religions, and languages—and they enjoy higher levels of education and income than any other U.S. racial group. Historically, socioeconomic status has been a reliable predictor of political behavior. So why has this fast-growing American population, which is doing so well economically, been so little engaged in the U.S. political system? Asian American Political Participation is the most comprehensive study to date of Asian American political behavior, including such key measures as voting, political donations, community organizing, and political protests. The book examines why some groups participate while others do not, why certain civic activities are deemed preferable to others, and why Asian socioeconomic advantage has so far not led to increased political clout. Asian American Political Participation is based on data from the authors’ groundbreaking 2008 National Asian American Survey of more than 5,000 Chinese, Indian, Vietnamese, Korean, Filipino, and Japanese Americans. The book shows that the motivations for and impediments to political participation are as diverse as the Asian American population. For example, native-born Asians have higher rates of political participation than their immigrant counterparts, particularly recent adult arrivals who were socialized outside of the United States. Protest activity is the exception, which tends to be higher among immigrants who maintain connections abroad and who engaged in such activity in their country of origin. Surprisingly, factors such as living in a new immigrant destination or in a city with an Asian American elected official do not seem to motivate political behavior—neither does ethnic group solidarity. Instead, hate crimes and racial victimization are the factors that most motivate Asian Americans to participate politically. Involvement in non-political activities such as civic and religious groups also bolsters political participation. Even among Asian groups, socioeconomic advantage does not necessarily translate into high levels of political participation. Chinese Americans, for example, have significantly higher levels of educational attainment than Japanese Americans, but Japanese Americans are far more likely to vote and make political contributions. And Vietnamese Americans, with the lowest levels of education and income, vote and engage in protest politics more than any other group. Lawmakers tend to favor the interests of groups who actively engage the political system, and groups who do not participate at high levels are likely to suffer political consequences in the future. Asian American Political Participation demonstrates that understanding Asian political behavior today can have significant repercussions for Asian American political influence tomorrow.
The Trump Effect: An Experimental Investigation of the Emboldening Effect of Racially Inflammatory Elite Communication
This article explores the effect of explicitly racial and inflammatory speech by political elites on mass citizens in a societal context where equality norms are widespread and generally heeded yet a subset of citizens nonetheless possesses deeply ingrained racial prejudices. The authors argue that such speech should have an ‘emboldening effect’ among the prejudiced, particularly where it is not clearly and strongly condemned by other elite political actors. To test this argument, the study focuses on the case of the Trump campaign for president in the United States, and utilizes a survey experiment embedded within an online panel study. The results demonstrate that in the absence of prejudiced elite speech, prejudiced citizens constrain the expression of their prejudice. However, in the presence of prejudiced elite speech – particularly when it is tacitly condoned by other elites – the study finds that the prejudiced are emboldened to both express and act upon their prejudices.
“Illegal,” “Undocumented,” or “Unauthorized”: Equivalency Frames, Issue Frames, and Public Opinion on Immigration
Immigration has been a salient and contentious topic in the United States, with a great deal of congressional debate, advocacy efforts, and media coverage. Among conservative and liberal groups, there is a vigorous debate over the terms used to describe this population, such as “undocumented” or “illegal,” as both sides perceive significant consequences to public opinion that flow out of this choice in equivalency frames. These same groups also compete over the ways in which immigration policies are framed. Here, for the first time, we examine the use of both types of frames (of immigrants themselves, and the policies affecting them) in media coverage. Importantly, we also test for whether these various frames affect preferences on three different policies of legalization. Our results suggest that efforts to focus on the terms used to describe immigrants have limited effect, and that efforts to frame policy offer greater promise in swaying public opinion on immigration.
Serine Threonine-Protein Kinase-Derived IW13 Improves Lipid Metabolism via C/EBP-α/SREBP1/FAS Signaling Pathways in HFD-Induced Zebrafish In Vivo Larval Model
Obesity is linked to the development of major metabolic disorders such as type 2 diabetes, cardiovascular disease, and cancer. Recent research has focused on the molecular link between obesity and oxidative stress. Obesity impairs antioxidant function, resulting in dramatically increased reactive oxygen levels and apoptosis. In this study, we investigated the effect of IW13 peptide on inhibiting lipid accumulation and regulating the antioxidant mechanism to normalize the lipid metabolism in HFD induced zebrafish larvae. Our results showed that co-treatment with IW13 peptide showed a protective effect in HFD zebra fish larvae by increasing the survival and heart rate. However, IW13 peptide co-treatment reduced triglycerides and cholesterol levels while also restoring the SOD and CAT antioxidant enzymes. In addition, IW13 co-treatment inhibited the formation of lipid peroxidation and superoxide anion by regulating the glutathione level. Also, the results showed that IW13 specifically downregulated the expression of the lipogenic-specific genes (C/EBP-α, SREBP1, and FAS). The findings exhibited that the IW13 peptide with effective antioxidant and anti-obesity activity could act as a futuristic drug to treat obesity and oxidative stress-related diseases.
A Critical Review on Nano-selenium Based Materials: Synthesis, Biomedicine Applications and Biocompatibility Assessment
The review provides an essential insight into the nanotechnology principles for nano-selenium based materials mainly selenium nanoparticles (SeNPs), selenium nanocomposite (SeNC) and how they can be synthesized, utilized in biomedicine. Various methods of synthesis of nano selenium have revealed extensively in this study. Applications in biomedicine as potential pharmacological agents like antimicrobial, anticancer, anti-diabetic, and anti-oxidative activities have been described extensively in this investigation. The study also demonstrates various methods for the determination of toxicity associated nano selenium under in vitro and in vivo conditions using simple, cost-effective, and green technology principles. In vitro toxicity methods include the use of selected cell lines in which cytotoxic effects can be determined. Phytotoxicity screening is another simplest and reliable method of toxicity assessment. Various animal models like rats, mice, and zebrafish have been widely employed to study the nano selenium-induced toxic effect. Further study will be helpful to explicit the nanotechnology principle of nanoscale derived selenium nanomaterials on diverse applications with high biocompatibility and environmentally friendly. Graphical Abstract