Era Of Science Research Articles

Carbon-based Nanocomposite Materials for Electrochemical Monitoring of Cadmium Ions

In the present era of science and technology, cadmium poisoning in humans is reported from several parts of the world and now it is a global health problem. Accumulation of cadmium in human organs and tissues, such as the liver, kidney, etc., leads to carcinogenic effects and toxicity to the organ system. Therefore, several efforts are being made to develop a monitoring system for cadmium metal ions in the environment. This review aimed to summarise the different carbon-composite materials-based electrochemical sensors reported to date for cadmium ions detection. The first section of this review provides a brief discussion on the source and harmful effects of cadmium ions, and the rest part includes different carbon (graphite, graphene, graphene oxide, carbon nanotubes, etc.)-based composite nanomaterials reported to date for the electrochemical detection of cadmium ions in different analytes. Carbon-based nanocomposite materials have been found to be very suitable for the detection of Cd(II) ions due to their boosted electron transportation and high surface, leading towards high sensitivity and high selectivity.

The Beauty Revolution of Nanotechnology: Unveiling the Impact of Cosmetic Nano Wonders.

The infusion of nanotechnology into cosmetic formulations marks a transformative shift in beauty science. Although Raymond Reed originally used the word "cosmeceutical," Dr. Albert Kligman popularised the idea in the late 1970s. Cosmetic Nano Wonders are redefining skincare by leveraging nanomaterials to enhance the stability, delivery, and efficacy of active ingredients. The paradigm shift holds promise for overcoming longstanding challenges in traditional cosmetic formulations. This article aims to explore and showcase the revolutionary impact of nanotechnology on the cosmetic industry. Focusing on key nanocarriers, such as liposomes and nanoparticles, our objective is to illuminate how nanotechnology elevates the performance of beauty products, providing advanced solutions for skincare concerns. This revolution promotes sustainability through green synthesis techniques and enables more accurate and effective therapies for a variety of skin issues, including acne and ageing that raises the bar for safety and innovation in the cosmetics business by enhancing product performance and environmental impact. Conducting a thorough literature review, we analyze recent scientific studies and industry reports to unveil the mechanisms and applications of nanotechnology in cosmetics. Special attention is given to the role of nanocarriers in stability enhancement, targeted delivery, and controlled release, unraveling the methods that drive the transformative potential of Cosmetic Nano Wonders. The database sources are Scopus, PubMed, Google Scholar, and Google Patents. The examination of recent research underscores the tangible benefits of nanotechnology in cosmetics. Cosmetic Nano Wonders demonstrate superior stability, enhanced penetration into skin layers, and controlled release mechanisms, showcasing their potential to revolutionize beauty science and address longstanding challenges in skincare. Cosmetic Nano Wonders represent a groundbreaking shift in beauty science, offering unprecedented possibilities for formulators and consumers. As nanotechnology continues to reshape cosmetic formulations, the future holds the promise of safer, more effective, and personalized skincare solutions, ushering in a new era in beauty science.

Biomimetic Regeneration Of Enamel Using SelfAssembling Peptides: A Systematized Review

Background: Noninvasive methods of treating initial caries lesions have been a widely researched topic in this scientific era. Various biomimetic materials are available on the market. Self-assembling peptides focus on the biomimetic regeneration of enamel and stand out from the others due to their ability to restore the enamel matrix Data: This systematized review was conducted on articles with the remineralization effects of SAP on initial enamel lesions published between 2019 January to 2024 September. Sources: The search of this review was carried out in the electronic databases PUBMED, COCHRANE, EMBASE, and Google Scholar. Only primary researches were included Results: Out of 122 articles obtained, 28 articles were included in this review after screening. The studies demonstrate the effect of SAP on reversing WSLs and its efficacy in comparing and combining with other remineralizing agents such as fluorides, and CPP-ACP. Conclusion: With the limited evidence, SAP can be used as a promising solution for WSLs in permanent as well as primary teeth

Editor bias and transparency in psychology's open science era.

In this open science era, psychology demands researchers be transparent in their research practices. In turn, researchers might ask if journal editors are being equally transparent in their editorial practices. Editor bias is when editors fail to be fair and impartial in their handling of articles. Editor bias can arise because of identity-who authors are-or because of content-what authors write. Proposed solutions to editor bias include masking author identity and increasing editor diversity. What is needed is greater transparency. By being more transparent, editors would be in a better position to encourage others to embrace open science. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

A decolonized science requires bigger, bolder, and less incremental change: Commentary on Sharpe (2024).

This commentary is written in response to Sharpe's (2024) article titled "Editor Bias and Transparency in Psychology's Open Science Era." The article clearly describes the conversation on bias, transparency, and editor accountability occurring in the field of psychology in recent years. However, in this era of public accountability, where there is a groundswell seeking a more decolonized science, we use the commentary to discuss how the article could have gone further. We used an equity model to explore whether the model of change being proposed by Sharpe is at the right level of analysis and whether it is equipped with the needed ingredients to bring about a solution to the long-standing problem of editor bias and lack of transparency. We offer an alternative to the individual model that Sharpe's article puts forth and recommend the use of a systems thinking approach to generate action items for a more decolonized science in the realm of publishing and editor bias. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Ultrasonic-assisted extraction of polyphenolics from Schrebera swietenioides Roxb.: An optimization using response surface methodology

Schrebera swietenioides Roxb is an important medicinal plant used for the treatment of various diseases by the indigenous communities. However, this plant is still underexplored in the modern scientific era. Specifically, the leaves of the plant are reported to contain various medicinal properties such as antioxidant, antimicrobial, anti-inflammatory, and antipyretic activity. Herewith, the present work demonstrates and optimizes the extraction process usingan ultrasonic system and comopared the results with conventional extraction methods. Optimization was performed by combining first and second-order polynomial designs at different levels using Plackett-Burman and Central-Composite designs. A total of 31 experiments were conducted at different levels, including ultrasonic power (10–40 %), solvent-to-sample ratio (20–50 mL/g), solvent concentration (50–80 %), and HCl normality (0.2–1 N). The findings of the study suggest a significant (p<0.05) influence of extraction parameters on the extraction yield of the response variables, including total phenol (TPC), total flavonoid (TFC), total tannin (TTC), and the antioxidants activity. Further, the predicted values demonstrated good agreement with the experimental values, exhibiting a high (R2>95%) coefficient of determination and a non-significant lack of fit. At the optimized condition, the experimental values of TPC, TFC, TTC and antioxidants (DPPH, ABTS, FRAP) activity were found near the model predicted values. The HPLC-PDA analysis identified ten polyphenolic compounds, among which rutin hydrate (12.991±0.003 mg/g DW), followed by phloridzin (6.660±0.001 mg/g DW), and chlorogenic acid (3.380±0.008 mg/g DW) were the most prominent compounds. Furthermore, the optimized extract showed effective antibacterial activity against Bacillus subtillis, Escherichia coli, Pseudomonas aeruginosa, and Staphylococcus aureus species. In conclusion, the obtained results indicate that the proposed optimization strategy can be utilized to enhance the yield of polyphenolics from the target species with possibility of its application in therapeutics values.

Health Infrastructures in India with Special Reference to MSME Sector - An Assessment

The healthcare enterprise consists of each the general public and business sectors and consists of scientific tourism, hospitals, fitness insurance, scientific equipment, and outsourcing. The creation of healthcare products, inclusive of scientific equipment, instruments, and services, in addition to for biotechnology and diagnostic laboratories via way of means of Indian Startups affords an answer within side the shape of healthcare services and products and quickens technological innovation to face up to international competition. The National Health Policy, which changed into posted in 2017 to construct the fitness care infrastructure, and the Pradhan Mantra Ayushman Bharat understand the significance of pharmaceutical agencies for enhancing healthcare. The pinnacle 20 markets for scientific gadgets are closely encouraged with the aid of using the scientific tool sector. MSME makes up 6.11% of the GDP from manufacturing, 24.63% of the GDP from services, and 45% of the whole exports. According to the Medical Tourism Index (MIT) for 2020–21, scientific era in India is predicted to attain US $50 billion with the aid of using 2025 and is now positioned 10th. Out of forty six international locations, India`s healthcare marketplace is predicted to attain US$372 billion with the aid of using 2022.usedsecondary data in this paper for discussed Health infrastructures and evaluate role of Health facilities and problems in Health sector in India by secondary source.

Study on Structure-Function Integrated Polymer-Based Microwave-Absorption Composites.

This article provides an in-depth exploration of the current state of research in microwave-absorbing composite materials, juxtaposing the status quo of coating type and structurally reinforced resin-based composites, with a particular emphasis on the latter's structural and performance superiority. It succinctly elucidates the mechanisms of electromagnetic shielding, as well as the conditions and underlying principles that govern the absorption of microwaves by composite materials. The review continues by dissecting the strategies for enhancing the microwave-absorption capabilities of resin-based composites, including the classification of absorbents, absorbent selection, and an overview of structural design innovations in microwave-absorbing materials. Structural wave-absorbing composites are manufactured by combining different types of resin matrices, absorbers, reinforcing fibers and construction methods. The interactions between these components are scrutinized to reveal how each contributes to the overall performance of the composite. We spotlight the unique construction methods and the intricate relationship between structure and performance in structurally reinforced composites, offering insights into the optimization strategies for composite-material absorption characteristics. Concluding with a forward-looking perspective, the article contemplates the burgeoning potential and future applications of fiber-reinforced resin-based microwave-absorbing composites, setting the stage for a new era in material science and technology.

Student Interpersonal Intelligence In The Age Of Science And Technology: Bibliometric Analysis

The purpose of this research is to analyze students’ interpersonal intelligence in the era of science and technology with the VOSviewer application. In addition to VOSviewer, Publish or Perish method is also employed in this study. The keywords used are "interpersonal intelligence" and "Era of science and technology" on the search which resulted in 1000 relevant articles published from 2018-2022. Based on the research results, the number of published articles on interpersonal intelligence has increased from 2018 to 2021, but there has been a very drastic decrease in 2022. In more detail, the article findings can be described as follows: in 2018, there were 189 articles found; in 2019 there were 191 articles; 202 articles in 2020; 195 articles in 2021; and 138 articles in 2022. This research is intended to assist researchers who will conduct and determine research on the same theme

Leveraging Deep Learning for Time-Series Extrinsic Regression in Predicting the Photometric Metallicity of Fundamental-Mode RR Lyrae Stars.

Astronomy is entering an unprecedented era of big-data science, driven by missions like the ESA's Gaia telescope, which aims to map the Milky Way in three dimensions. Gaia's vast dataset presents a monumental challenge for traditional analysis methods. The sheer scale of this data exceeds the capabilities of manual exploration, necessitating the utilization of advanced computational techniques. In response to this challenge, we developed a novel approach leveraging deep learning to estimate the metallicity of fundamental mode (ab-type) RR Lyrae stars from their light curves in the Gaia optical G-band. Our study explores applying deep-learning techniques, particularly advanced neural-network architectures, in predicting photometric metallicity from time-series data. Our deep-learning models demonstrated notable predictive performance, with a low mean absolute error (MAE) of 0.0565, the root mean square error (RMSE) of 0.0765, and a high R2 regression performance of 0.9401, measured by cross-validation. The weighted mean absolute error (wMAE) is 0.0563, while the weighted root mean square error (wRMSE) is 0.0763. These results showcase the effectiveness of our approach in accurately estimating metallicity values. Our work underscores the importance of deep learning in astronomical research, particularly with large datasets from missions like Gaia. By harnessing the power of deep-learning methods, we can provide precision in analyzing vast datasets, contributing to more precise and comprehensive insights into complex astronomical phenomena.

Exploring the Synergy between Artificial Intelligence and Computational Mathematics in Scientific Computing

When artificial intelligence (AI) and computational mathematics come together, it opens up a new era in science computing with unmatched chances to make study and technology better. This combination uses the best parts of AI's data-driven methods and computational mathematics' strict logical models to make it easier to solve problems in a wide range of scientific areas. AI algorithms, especially those that are based on machine learning and deep learning, are very good at finding trends and making guesses from very large datasets. This lets them solve hard, multidimensional problems that traditional computers have a hard time with. On the other hand, computational mathematics gives AI models the theoretical background and accuracy they need to be easier to understand and more reliable. By combining AI with computer methods like numerical analysis, optimization, and differential equations, researchers can make mixed models that make computers much faster and more accurate. This method from different fields not only speeds up the simulation and modeling processes, but it also makes it possible to work with bigger and more complicated information, which helps scientists, engineers, and biologists make important discoveries. Additionally, using AI-driven methods in high-performance computer settings makes the best use of resources, which speeds up calculations and lowers costs. As AI keeps getting better, its programs get better at learning from data and drawing conclusions from them. This means that the computing methods they are used with are always getting better. The mutually beneficial connection between AI and computer mathematics also encourages new ways of making algorithms, which leads to progress that can be used more readily in the real world. In the end, this fusion is going to change the way science computing is done by allowing for more complex studies, more accurate predictions, and the discovery of new things. The current study and development in this area shows how important it is for people from different fields to work together.

Pushing Boundaries: AI and Computer Science in the Era of Technological Revolution

The advent of Artificial Intelligence (AI) has heralded a transformative era in Computer Science, revolutionizing various facets of technology. This paper explores the profound impact of AI on the field of Computer Science, delving into its advancements, innovations, and the potential future trajectory of technology. The primary objective of this paper is to elucidate the significant role of AI in shaping the landscape of Computer Science. Through comprehensive research and analysis, it aims to provide insights into the evolution of AI, its applications, and the implications for future technological developments. This study employs a library research approach, gathering information from academic journals, conference proceedings, books, and reputable online sources. By synthesizing existing literature and scholarly works, it seeks to construct a comprehensive overview of the advancements and innovations in AI within the realm of Computer Science. The findings reveal a dynamic and rapidly evolving field driven by AI technologies. From machine learning algorithms to neural networks and deep learning models, AI has revolutionized data analysis, pattern recognition, and decision-making processes. Moreover, AI-driven applications such as natural language processing, computer vision, and robotics have reshaped various industries, including healthcare, finance, transportation, and manufacturing. However, alongside these advancements come ethical considerations, privacy concerns, and challenges related to algorithmic biases and societal implications. Looking ahead, the future of technology promises further integration of AI into various domains, leading to unprecedented opportunities and challenges in the realm of Computer Science

Exterior Design and Application of Intelligent Elderly Care Bracelet in the Era of Science and Technology

With the continuous development of the economy and society, various types of smart wristbands are emerging one after another, and the competition in the elderly care industry is becoming increasingly fierce. Among them, the convenient elderly care ability has become one of the main indicators to measure the competitiveness of elderly care. In the decades of development, the demand for elderly care in China has been increasing, and the ability of smart elderly care wristbands has been continuously improving. However, there are still many problems in their ability, which need to be further improved. This article takes the intelligent elderly care bracelet as the research object. Firstly, it explores the background and significance of the topic, summarizes and sorts out a series of theories and methods involved, and reviews the research status of intelligent elderly care at home and abroad. Then, it introduces the relevant theoretical basis for the ability of the bracelet we designed. Further analysis of the current situation of the elderly care bracelet industry.

Exploring and Practicing the Effectiveness of Imitative Innovative Thinking of College Students in Innovation and Entrepreneurship under the Background of New Engineering Disciplines

This paper focuses on the in-depth exploration and practice of innovation programs for college students in the context of new engineering disciplines, combined with the current development trend of generative AI technology. Through nearly 2 years of practical exploration of college students' imitative innovative thinking, especially in the new undergraduate colleges and universities, college students' innovative thinking cultivation effectiveness has achieved better results. This paper focuses on analyzing the impact of AI technology on the innovation and entrepreneurship projects of college students in new undergraduate colleges under the background of new engineering and the importance of cross-border integration and innovation under the concept of new engineering education, and summarizes and puts forward an inter-disciplinary fusion of imitative innovation of college students' innovation and entrepreneurship teaching ideas in new undergraduate colleges, which focuses on innovation inspiration, project practice, competition-driven, and inter-disciplinary fusion, and aims to improve the students' comprehensive innovation ability and ability to cope with complex problems. ability and the ability to deal with complex problems. It has been proved that this borrowed innovative thinking has significant effect on the cultivation of innovative thinking of college students in new undergraduate colleges and meets the cultivation requirements of local talents in the era of new engineering science.

Research on Global Market Competition and Activation Impact of China's New Energy Vehicles

With the shortage of global energy resources and the increased awareness of environmental protection, in recent years, China's new energy vehicle industry has developed rapidly and become a major player in the global electric vehicle market. This paper will discuss the competitive situation of China's new energy vehicles in the global market and its impact on the activation of the global new energy vehicle market. By analyzing the policy support, technological innovation, market expansion and international competitiveness of China's new energy vehicle industry, this paper aims to reveal China's important position in the global new energy vehicle market and its far-reaching impact on the global industrial structure. In recent years, China's new energy vehicle industry has sprung up and developed rapidly, and has become a powerful force in the global electric vehicle market. In this ever-changing era of science and technology, the new energy vehicle industry is regarded as an important driving force for future global economic growth, and countries have increased investment and competed for market share. In terms of technological innovation, China's new energy automobile industry continues to increase investment in research and development, breakthroughs in key technologies, and has achieved remarkable results. From the perspective of policy support, the Chinese government attaches great importance to the development of the new energy automobile industry and has introduced a series of policy measures to encourage and promote the rapid development of the industry. From the perspective of market expansion, the market of new energy vehicles in our country shows a rapid growth trend. In terms of international competitiveness, China's new energy automobile industry has gradually risen, and has the strength to compete with developed countries such as Europe, America and Japan. With the continuous growth of China's new energy automobile industry, the export business has also achieved remarkable results, and the international market share has gradually increased. On a global scale, China's new energy automobile industry has formed a new pattern of competition with major economies. The competitive situation of China's new energy automobile industry in the global market has become increasingly prominent, which has a positive activation effect on the global new energy automobile market. Under the joint promotion of policy support, technological innovation, market expansion and international competitiveness, China's new energy vehicle industry will continue to play an important role in the global market and have a profound impact on the global industrial pattern. With the increasingly fierce competition in the field of new energy vehicles, the development of China's new energy vehicle industry will have a greater impact and influence on the global market.

Prospects and Challenges in Developing mRNA Vaccines for Infectious Diseases and Oncogenic Viruses.

mRNA vaccines have emerged as an optimistic technological platform for vaccine innovation in this new scientific era. mRNA vaccines have dramatically altered the domain of vaccinology by offering a versatile and rapid approach to combating infectious diseases and virus-induced cancers. Clinical trials have demonstrated efficacy rates of 94-95% in preventing COVID-19, and mRNA vaccines have been increasingly recognized as a powerful vaccine platform. Although mRNA vaccines have played an essential role in the COVID-19 pandemic, they still have several limitations; their instability and degradation affect their storage, delivery, and over-all efficiency. mRNA is typically enclosed in a transport mechanism to facilitate its entry into the target cell because it is an unstable and negatively charged molecule. For instance, mRNA that is given using lipid-nanoparticle-based vaccine delivery systems (LNPs) solely enters cells through endocytosis, establishing an endosome without damaging the cell membrane. The COVID-19 pandemic has accelerated the development of mRNA vaccine platforms used to treat and prevent several infectious diseases. This technology has the potential to change the future course of the disease by providing a safe and effective way to combat infectious diseases and cancer. A single-stranded genetic sequence found in mRNA vaccines instructs host cells to produce proteins inside ribosomes to elicit immunological responses and prepare the immune system to fight infections or cancer cells. The potential applications of mRNA vaccine technology are vast and can lead to the development of a preferred vaccine pattern. As a result, a new generation of vaccinations has gradually gained popularity and access to the general population. To adapt the design of an antigen, and even combine sequences from different variations in response to new changes in the viral genome, mRNA vaccines may be used. Current mRNA vaccines provide adequate safety and protection, but the duration of that protection can only be determined if further clinical research is conducted.

On the construction of various soliton solutions of two space-time fractional nonlinear models

Abstract In this article, we investigate a couple of nonlinear fractional models of eminent interests subsequently the conformable derivative sense is used to designate the fractional order derivatives. The given structures are transformed into nonlinear ordinary differential equations of integer order, and the extended simple equation technique is then employed to solve the resulting equations. Initially, the nonlinear space time fractional Klein–Gordon equation is considered emerging from quantum and classical relativistic mechanics, which have application in plasma physics, dispersive wave phenomena, quantum field theory, and optical fibres. Later, the (2 + 1)-dimensional time fractional Zoomeron equation is analysed which is convenient to explore the innovative phenomena related to boomerons and trappons. As a result, various new soliton solutions are successfully established. The reported results offer a key implementation for analysing the soliton solutions of nonlinear fractional models which are extremely encouraging arising in the recent era of science and engineering. The 3D simulations have been carried out to demonstrate dynamics of the various soliton solutions for a given set of parameters.

Gatekeeping should be conserved in the open science era

The elimination of gatekeepers for scientific publication has been represented as a means to promote the core moral values of open science, including democratic decision-making and inclusiveness. I argue that this framing ignores the reality that gatekeeping is a way of structuring prestige hierarchies, and that without gatekeeping, some other structuring would be needed: the flattening of prestige hierarchies is not possible given scientists’ need to navigate information overload. I consider two potential restructurings of prestige hierarchies, one based on citation count and the other on search algorithm rank. These are shown to simply reintroduce status biases and hierarchies in ways that either do not further the open science ideals of democracy and inclusiveness, or else involve some de facto gatekeeping. Gatekeeper elimination should not be thought of as an intrinsic part of the open science movement. In fact, insofar as gatekeeping is guided by professional ideals of impartiality and diligence, it can be thought of as an ally of open science values.

Exploring expected values of topological indices of random cyclodecane chains for chemical insights

Chemical graph theory has made a significant contribution to understand the chemical compound properties in the modern era of chemical science. At present, calculation of the topological indices is one of most important area of research in the field of chemical graph theory. Cyclodecane is a cyclic hydrocarbon with the chemical formula C10H20\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$C_{10}H_{20}$$\\end{document}. It consists of a ring of ten carbon atoms bonded together in a cyclical structure. Cyclodecane chains can be part of larger molecules or polymers, where multiple cyclodecane rings are connected together. These molecules can have various applications in chemistry, materials science, and pharmaceuticals. This article aims to determine expected values of some connectivity based topological indices of random cyclodecane chains, containing saturated hydrocarbons with at least two rings. It also compares these descriptors using explicit formulae, numerical tables and present graphical profiles of these comparisons.

Watching the sunrise on our ocean planet in a new era of marine science

Abstract Over the last 30 years, ocean sciences have been undergoing a technological revolution. Changes include the transition of autonomous platforms from being interesting engineering projects to being critical tools for scientists studying a range of processes at sea. My career has benefitted immensely from these technical innovations, allowing me to be at sea (virtually) 365 days a year and operate ocean networks globally. While these technical innovations have opened many research doors, many aspects of oceanography are unchanged. In my experience, working/talking/scheming with scientists is most effective face-to-face. Despite the growing capabilities of robotic platforms, we will still need to go to sea on ships to conduct critical experiments. As the responsibilities of scientists expand with mandated outreach efforts, I strongly urge young scientists to leverage the expertise of Broader Impact professionals, who are increasingly available to our community, in order to maximize the effectiveness and efficiency of our outreach efforts. Given the increasing observations of change occurring in the ocean, our work is ever-more important while still being fun. I am blessed to have had a career as an oceanographer exploring this planet.