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MoS2, a new perspective beyond graphene
Owing to the fascinating structural, optical, electrical, chemical properties, graphene has created new paradigm in the field of nanoscience and the common crystalline structures that can be exfoliated include the layered van der Waals (vdW) solids such as boron nitride, transition metal dichalcogenides (TMDCs), black phosphorus, and the layered ionic solids. Here, we bring forth the state-of-art-of materials dominated by their two-dimensional (2D) geometry beyond graphene. Being one of the most well-studied families of vdW layered materials, molybdenum disulphide (MoS2) belonging to TMDC family has gained considerable research interest. The present work is focused on attempts to optimize and characterize this material with unique properties for a host of applications. The work resolves the hydrothermal growth of hexagonal MoS2 nanoflakes with attracting optical and magnetic properties providing strong evidence for the spin orbit split valence bands of these nanostructures. The enhanced electrocatalytic activity, excitation wavelength dependent down-conversion and up-conversion photoluminescence, growth of structural polymorphs using simple hydrothermal method, and the efficient anticancer properties of MoS2 nanostructures providing greater insight into energy and biomedical applications are also discussed. The improved catalytic activity of MoS2-based nanostructures reveals the increasing number of accessible active sites, formation of large surface area and is greatly beneficial for accomplishing a clean, environmental-friendly, inexpensive hydrogen mission for energy storage and conversion applications. The synergistic effect of the MoS2 nanocomposites was able to impede angiogenesis, tumor growth, and epithelial to mesenchymal transition, elucidating the anticancer efficacy. Understanding and exploiting such unique properties of these 2D materials paves new horizons toward novel technological advances in electronic and medical field. 2021 Elsevier Inc. All rights reserved. -
Mother Phubbing and Psychological Well-being: Exploring Mediating Role of Loneliness
Mothers phubbing has been connected to a rise in loneliness and a fall in well-being in the role of parenthood. Study examined loneliness as a mediator between mother phubbing and psychological well-being. In total 186 mothers (30-45 years) were surveyed. Results highlighted that Mother phubbing negatively correlated with psychological well-being (r = -0.29) and loneliness (r = -0.39). Loneliness is negatively correlated with psychological well-being (r = -0.40). Loneliness mediated the relationship (b = -0.13, p<.001). 2024 selection and editorial matter, Dr. Sundeep Katevarapu, Dr. Anand Pratap Singh, Dr. Priyanka Tiwari, Ms. Akriti Varshney, Ms. Priya Lanka, Ms. Aankur Pradhan, Dr. Neeraj Panwar, Dr. Kumud Sapru Wangnue; individual chapters, the contributors. -
Multi-level Prediction of Financial Distress of Indian Companies Using Machine Learning
Predicting Financial Distress (FD) and shielding companies from reaching that stage is vital, even indispensable for every business. FD, if not attended to on time, ultimately leads to bankruptcy. Prediction variables are essential to forecast the wreckage in the business; however, the prediction is successful when suitable models are used. This study aims to predict FD at three levels: from mild to severe, by applying a machine learning algorithm. The study identifies modern models using the machine learning approach for predicting multi-level FD and summarises the significance of modern models through machine learning technology, to sustain the future development of the economy. The modern models are free from rigid assumptions and have proved to be the best in the prediction of FD. The results show that FD prediction is important at multiple stages. The models performance will be high when the best features are selected using the Pearson Correlation and SFS Feature selection approach. Among the ten models used in the study, LightGBM Classifier shows the highest performance of 80.43% accuracy without feature selection. However, with Pearson Correlation Approach and SFS Feature Selection methods, the accuracy is 82.68% and 86.95% respectively. This study has major implications for the stakeholders of the company to take timely decisions on their investment and for the management as a yardstick to check the performance of the business. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
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. -
Nanoarchitectures as photoanodes
This chapter looks into providing detailed information on the state-of-the-art and recent trends on materials and nanoarchitectures for improved photoanode device. It provides a roadmap for researchers toward optimization of photoanodes using advanced material engineering. The chapter casts some light on the performance of various photoanode materials and nanostructures, such as TiO2, ZnO, SnO2, Nb2O5, Al2O3, ZrO2, CeO2, SrTiO3, Zn2SnO4, and carbon in dye-sensitized solar cells (DSSCs). Plasmonic photoanodes are an emerging field in DSSC spanning a wide range of materials where the paramount challenge is coming up with effective strategies to incorporate suitable plasmonic structures into nanocrystalline and nanostructured electrodes. Optical excitation of the dye is the basis of DSSC operation, where an electron is excited from the dye molecule into the conduction band of a wideband metal oxide. 2020 JohnWiley & Sons Inc. All rights reserved. -
Nanobiosensors for COVID-19
Coronavirus Disease (COVID-19) is an internationally recognized public health emergency. The disease, which has an incredibly high propagation rate, was discovered at the end of December 2019 in Wuhan, Hubei Province, China. The virus that causes COVID-19 is referred to as severe acute respiratory illness. Real-time reverse transcriptase (RT)-PCR assay is the primary diagnostic practice as a reference method for accurate diagnosis of this disease. There is a need for strong technology to detect and monitor public health. Early notification on signs and symptoms of the disorder is important and may be managed up to a few extents. To analyze the early signs and side effects of COVID-19 explicit techniques were applied. Sensors have been used as one of the methods for detection. These sensors are cost effective. These sensors will combine with a systematic device. It is utilized to detect the chemical compound and combined with a biological component. It is detected through physiochemical detector. Nanomaterials represent a robust tool against COVID-19 since they will be designed to act directly toward the infection, increase the effectiveness of standard antiviral drugs, or maybe to trigger the response of the patient. In this paper, we investigate how nanotechnology has been used in the improvement of nanosensor and the latest things of these nanosensors for different infections. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023. -
Nanobiosensors: A Promising Tool for the Determination of Pathogenic Bacteria
Pathogenic bacterial detection is a significant concern for the well-being of all human beings. These tiny microbes are capable of causing numerous diseases, which can be nipped in the bud through proper monitoring and controlling at the early stages itself. Some common pathogenic bacteria include Mycobacterium tuberculosis, Bacillus anthracis, Streptococcus pneumoniae, Escherichia coli, Salmonella spp., etc. These microbes contaminate air, food, and water through different modes of transmission. The classical methods used for the identification of these bacteria are time-killing and backbreaking. Rapid pathogenic bacteria determination became possible through the intervention of biosensors. Biosensors are further modified with nanoparticles to build nanobiosensors that are tenfold efficient in bacterial detection. The optical and electrochemical nanobiosensors provide hassle-free detection of pathogenic bacteria, and pointof- care detection is also possible. This book chapter aims to give a brief idea about nanobiosensors starting from the principle to the advantages and disadvantages of bacterial detection. Relevant works of literature on different methods to detect bacteria, types of nanobiosensors, and their efficacy in pathogenic bacterial detection portray the current stand and the need for more innovations in the area of nanobiosensors. The Editor(s) (if applicable) and The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2022. -
Nanocomposites in Combating Antimicrobial Resistance
Extensive and improper usage of antibiotics has resulted in the outbreak of multidrugresistant microorganisms and increasing antimicrobial resistance (AMR), which has become a significant threat to global health and health care. Resistant microorganisms adapt various resistance mechanisms like modifying the structure of antibiotics, altering the target, inhibiting the internalization of antibiotics, ejection of antibiotics from bacterial cells, etc. By lowering or completely disabling the efficacy of antibiotics, AMR may become a primary cause of mortality if left unattended. Developing effective antiresistance strategies to combat AMR is an urgent need of time. Nanomaterials have great potential to inactivate pathogens, and their mechanism of antimicrobial activity is different from antibiotics. With these unique mechanisms of antimicrobial action, nanomaterials are less prone to develop AMR. Developing nanocomposites can provide synergistic effects to improve the properties and strengthen the antimicrobial capability of individual nanomaterials. In this chapter, contemporary developments in the application of antimicrobial composites such as carbon nanocomposites, metallic nanocomposites, nonmetallic nanocomposites, metalloid nanocomposites, polymer nanocomposites, ceramic nanocomposites, and their hybrid forms to prevent the evolution of AMR will be discussed. The current research direction, prospects, and possible strategies to explore nanocomposites as potent antimicrobial agents to conquer AMR will be highlighted. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
Nanomaterial- Based Electrochemical Sensors for Vitamins and Hormones
Women and adolescent girls around the globe have fallen prey to, or rather have become vulnerable to, infections and poor health conditions due to the deficiencies caused by their deprivation of vitamins and proteins along with hormonal imbalance resulting in a snowballing effect causing declining well-being among women. The methods currently available in assessing vital hormones and vitamins are time-consuming and expensive, thereby making them inaccessible to economically weaker sections of society. The work carried out so far in determining and quantifying these biomolecules has mostly employed immunosensing techniques on screen-printed electrodes. Glassy carbon electrodes or carbon paste electrodes modified with metal nanoparticles, graphene, and various polymerized films are also being used for the sensing of these biomolecules. In this chapter, the authors navigate a path through, and give a concise outlook on, various nanomaterial-based electrodes and their comparative efficiency for electrochemical sensing of vitamins and hormones. 2023 selection and editorial matter, Anitha Varghese and Gurumurthy Hegde; individual chapters, the contributors. -
Nanomaterials for A431 Epidermoid Carcinoma Treatment
Malignancy is the ancient sickness that causes an increased rate of mortality worldwide. Traditional malignant growth treatments that are clinically utilized comprise chemotherapy, radiotherapy, and medical procedure. Despite the fact that there have been motivating enhancements in the nanotechnology and biomedical field, malignant growth remains the most urgent condition to treat, as the central reason for mortality. Nanotechnology has the possibility to improve medication transport and delivery by modifying pharmacokinetics and conveyance, resulting in reduced negative reactions and in this manner improving precision. Some issues exist regarding destinations and the difficulties that occur, and the potential for success becomes closer with every discovery. Nanomaterials are smaller in size than organic macromolecules. More correctly, they as a rule have a width of many nanometers (nm), which makes them from 100 up to multiple times smaller than even one malignancy cell. Nanoparticles can occur in sizes running from 10 up to 400nm, and can likewise be used with a simple set up or a blend of pharmacologically dynamic medications, depending on a superficial level of properties. The various aspect of nanotechnology for malignant growth treatment include exact targeting of the lively segments in cell/tissues, producing upgrades responsive medication discharge, defeating natural obstructions, interfacing against disease dynamic system with imaging atoms, improving disease examination, and imaging. For the most part, nanoparticles burdened with mending operators are conveyed experimentally for firm malignancy treatment. Todays nanotechnology is a magnificent platform for the treatment of differing malignant growths. 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. -
Nanomaterials-Based Chemical Sensing
Nanotechnology is an achievement in the modern period because of its adaptable properties as per its size alterations. Nanomaterials with their size ranging from 1 to 100nm hold incredible novel properties and functionalities because of their molecular arrangements in nano-scale. Nanotechnologies add to pretty much every field of science, including material science, materials chemistry, physics, biology, software and computational engineering and so on. Lately, nanotechnology has been applied to different fields with promising outcomes, particularly in the field of detecting and remediation of toxicity levels, imperilling the ecological solidness just as it does to human wellbeing. One of the principal research interests using nanomaterials is detecting poisonous heavy metal ions. Carbon-based nanomaterials, which are remarkable in view of their toxic-free nature, high surface area and biocompatibility, are valuable for ecological treatments. Heavy metal pollution of water resources is a major issue that poses danger to health and wellbeing. Carbon-based nanomaterials have incredible potential for the detection as well as treatment of heavy metals from water sources in light of their large surface area, nano-scale and accessibility towards various functionalities as they are simpler to be chemically altered and hence reused. Apart from the conventional gas sensors based on SnO2, Fe2O3, In2O3 etc., gas sensors based on nanocarbons materials like carbon nanotubes (CNTs), nanosheets of graphene, carbon nano-fibres etc. exhibit high efficacy when it comes to gas-sensing strategy. Likewise, nanocarbon with hybrids of noble metals or semiconducting oxides can lead to a better performance considering gas-sensing applications. Here in this review, we describe the progress of carbon-based nanomaterials in toxicity detection and remediation. In addition to that, recent trends in nanomaterials-based sensing revealed the advancement of gas sensors based on nanocarbons. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
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. -
Nanoparticles as fillers in composites for x-ray and gamma-ray shielding: A review
In last few decades, nanomaterials have gained enormous attention in the scientific industry due to their tunable physico-chemical and biological properties with enhanced performance over their bulk counterparts. In particular, nanoparticles have been extensively investigated for their usefulness in X-ray and gamma-ray shielding applications. Various elements and compounds, with high atomic numbers and effective atomic numbers respectively, have the potential to form nanoparticles that offer remarkable enhancement in the shielding performance. Composites, obtained by doping different nanoparticles into structural matrices (concrete, glass, or polymers), not only possess striking thermo-mechanical properties but also are effective shielding materials to replace conventional lead shields. This review is an attempt to throw light on various aspects of nanoparticles and their influence on shielding effectiveness. The authors also summarize the experimental findings so as to highlight the potential underlying the radiation-matter interaction mechanism in nanostructured systems. Copyright 2023, IGI Global. -
Nanotechnological approach in nutraceuticals
Nanonutraceuticals are a fabrication process for extending the food quality and shelf life using nanocomposites for the protection of nutrition supplements in food, which acts as encapsulation against the factors causing spoilage. This chapter discusses the advantages of nanotechnology in food processing, packaging, and post packaging. The use of nanomaterials as ingredients, packaging materials, and for processing packed food imparts better taste, texture, and consistency. Nanotechnology improves the flavor, taste, and has better delivery of culinary balance. Encapsulation in food packaging helps maintain the taste and odor by maintaining the permeability of packaging, food texture, and the matrix, while regulating the specific release of active agents at a specific rate and time. Thus, a nanopackaging delivery system helps maintain the moisture and temperature. The impact of the use of nanomaterials should be studied under various circumstances to help understand nanomaterial use to deliver bioactive compounds. 2024 John Wiley & Sons, Inc. All rights reserved. -
Nanovaccinology and superbugs
Superbugs pose a serious threat to humans as many of the currently available antibiotics are not effective in treating the diseases inflicted by these microbes.Among the different bacteria causing clinical infections, Klebsiella pneumoniae, Escherichia coli, Serratia marcescens, Pseudomonas aeruginosa, Staphylococcusaureus, Proteus mirabilis, and so on, are some of the most vicious ones emergingat an unprecedented rate with huge impact on public health. In this context, prophylacticmeasures for these diseases assume great significance and NVs indeedfit in as a promising measure. Sustained release, improved antigen stability, betterimmunogenicity, better access to lymph nodes and low minimum immunotoxicitytranslates to the better efficacy of nano-based vaccines. Lipid-based NP (nanoparticles),dendrimers, Polymeric NP, self-assembled peptide NP, virus like particles(VLPs), and so on, are the promising NV (nanovaccines) delivery approaches.Improvisations of NVs by decorating NP surfaces with ligands that target specificimmune cells like the dendritic cells is also a promising approach to induce both Tand B cell responses. The current review focuses on the breakthroughs in the NVdomain with the challenges and opportunities of creating NVs to curb the menaceof superbugs. 2022 Scrivener Publishing LLC. All rights reserved. -
Narratives of the self: Comments and confessions on Facebook
Narratives are structured around events, which are used to tell a story. The self is perpetually being constructed through narratives of experience. This chapter focuses on the phenomenon of Facebook confession pages and how they contribute to the construction of digital identity. Drawing on insights from my project on the role of Facebook College Confession pages, the chapter examines how these platforms have transformed the way users express and shape their identities. The anonymity provided by these pages allows users to post confessions without revealing their identities, encouraging a form of virtual self-exploration. These confessions, often written by nameless authors, generate a complex and ongoing narrative of identity, shaped by the interaction of multiple voices and viewpoints. The chapter also explores the motivations behind sharing personal confessions, even when the responses may be negative, and how this contributes to the perpetual construction of the digital self. By examining the intersection of public and private spheres in these online spaces, this chapter highlights how the breaking of the public-private divide enables users to create and negotiate their identities in a digital, networked world. The narrative constructed is endless, and the post is not an end in itself. It paves the way for the generation of an endless narrative by multiple authors with multiple viewpoints. This chapter explores the reasons behind sharing such posts on Facebook, even if the comments are negative in tone. It will refer to Anthony Giddens' concept of time-space "distanciation" (Keefer et al., 2019) to show how multiple tellers through their narratives help to build the complex networked identity of a user. The study will also analyse the role played by the breaking of the public-private divide in creating such spaces for the construction of a private self through public voices. 2024 Rimi Nandy. -
Narratives on using critical approaches in teacher education
Using the approach of autoethnographic narrative, three teacher educators from a cosmopolitan city in South India discuss how they use critical approaches in preparing preservice teachers and educational psychologists in the courses that they teach at a private university. The students are sensitized about the marginalized and the privileged sections in a multicultural and multilingual nation as India and to become culturally responsive in their classrooms or with their clientele in terms of their dispositions, knowledge, and skills. The chapter also describes the integration of critical approaches in the doctoral program aimed at addressing educational disparities and promoting social justice in education. 2024, IGI Global. All rights reserved. -
National Education Policy 2020: Equity and inclusion in India's education system
The term "equity" in education refers to justice and fairness in the allocation of educational resources and opportunities. In order to achieve educational equity, it is necessary to remove the structural obstacles that prevent students from realizing their full potential. Obstacles like socioeconomic inequalities, prejudice, and unequal resource distribution often act as barriers to quality education. In this background, the present chapter will critically analyze a few significant opportunities offered by the New Education Policy 2020, such as three language formulas, privatization, NEP financing, special education zones policy implications, and challenges in implementation. Even though the opportunities and milestones offered by NEP 2020 are irrefutable, apprehensions pertaining to its scope and usefulness also exist, questioning the sanguinity of the policy. 2024, IGI Global. All rights reserved. -
Natural Language Processing (NLP) in chatbot design: NLP's impact on chatbot architecture
The creation and development of chatbots, which are the prevalent manifestations of artificial intelligence (AI) and machine learning (ML) technologies in today's digital world, are built on Natural Language Processing (NLP), which serves as a cornerstone in the process. This chapter investigates the significant part that natural language processing (NLP) plays in determining the development and effectiveness of chatbots, beginning with their beginnings as personal virtual assistants and continuing through their seamless incorporation into messaging platforms and smart home gadgets. The study delves into the technological complexities and emphasizes the problems and improvements in natural language processing (NLP) algorithms and understanding (NLU) systems. These systems are essential in enabling chatbots to grasp context, decode user intent, and provide replies that are contextually appropriate in real time. In spite of the substantial progress that has been made, chatbots continue to struggle with constraints. 2024, IGI Global. All rights reserved. -
Natural Language Processing in Medical Applications
Medical applications of machine learning are very new, and there are still several obstacles that limit their widespread use. There is still a need to address issues like high dimensionality data and a lack of a standard data schema. An intriguing way to explore the possibilities of machine learning in healthcare is to apply it to the difficult problem of cardiovascular disease diagnosis. At the present day, cardiovascular disorders account for the majority of deaths worldwide. It is often too late to adopt appropriate treatment for many of them because they progress for a long time without showing any symptoms. Because of this, its crucial to get checked up on routinely so that any developing diseases can be caught early. If the sickness is caught early enough, effective therapy can be put into place to stop the progression of the illness. This is done with the intention of analysing data from many sources and making use of NLP to overcome data heterogeneity. This paper evaluates the usefulness of several machine learning methods (such as the Naive Bayes (NB), Transductive Neuro-Fuzzy Inference, and Terminated Ramp-Support Vector Machine (TR-SVM)) for healthcare applications and suggests using Natural Language Processing (NLP) to address issues of data heterogeneity and the transformation of plain text. The implementation, testing, comparison of performance and analysis of the parameters of the algorithms used for diagnosis have simplified the process of selecting an algorithm better suited to a certain instance. TWNFI is particularly effective on larger datasets, while Terminated Ramp-Support Vector Machine is well suited to lesser datasets with a lower number of magnitudes due to performance difficulties. 2024 Scrivener Publishing LLC.