Era Of Science Research Articles

Perception and Navigation in Autonomous Systems in the Era of Learning: A Survey.

Autonomous systems possess the features of inferring their own state, understanding their surroundings, and performing autonomous navigation. With the applications of learning systems, like deep learning and reinforcement learning, the visual-based self-state estimation, environment perception, and navigation capabilities of autonomous systems have been efficiently addressed, and many new learning-based algorithms have surfaced with respect to autonomous visual perception and navigation. In this review, we focus on the applications of learning-based monocular approaches in ego-motion perception, environment perception, and navigation in autonomous systems, which is different from previous reviews that discussed traditional methods. First, we delineate the shortcomings of existing classical visual simultaneous localization and mapping (vSLAM) solutions, which demonstrate the necessity to integrate deep learning techniques. Second, we review the visual-based environmental perception and understanding methods based on deep learning, including deep learning-based monocular depth estimation, monocular ego-motion prediction, image enhancement, object detection, semantic segmentation, and their combinations with traditional vSLAM frameworks. Then, we focus on the visual navigation based on learning systems, mainly including reinforcement learning and deep reinforcement learning. Finally, we examine several challenges and promising directions discussed and concluded in related research of learning systems in the era of computer science and robotics.

Pillars of biology: Boolean modeling of gene-regulatory networks

Boolean modeling is a mathematical modeling framework used for defining and studying gene-regulatory networks (GRNs). It serves as a means to develop mechanistic models, offering insights into the trajectories and dynamic properties of GRNs. In this review, I delve into seminal papers published in the Journal of Theoretical Biology that have spearheaded this field. Additionally, I explore the application of these modeling methods in the current era of data-intensive science.

Challenges of University Science and Technology Ethics Education in the New Era of Artificial Intelligence

New artificial intelligence has emerged strongly with an unstoppable trend. The emergence of ChatGPT has brought new impacts and challenges to education and ethics. The importance of science and technology ethics education is unprecedentedly prominent in such an era. Science and technology ethics should be an important basic quality necessary for young people in the new era of science and technology. As the main front for personnel training and scientific research, universities shoulder the important mission of finding the direction of scientific research and implementing the main responsibility of science and technology ethics management. Starting from the characteristics of ChatGPT generative artificial intelligence itself, This study aims to analyze the threat of artificial intelligence to higher education academic ethics (including the academic dishonesty and inertia of thoughts), privacy security and credit crisis, false information fabrication, algorithmic bias and discrimination in artificial intelligence by studying the current situation of science and technology ethics education in colleges and universities. Based on the analyses, the study explores new directions and paths for the future development of universities science and technology ethics education.

Species conservation in the era of genomic science.

The exponential increase in the availability of genomic data, derived from sequencing thousands of loci or whole genomes, provides exciting new insights into the diversity of life. However, it can also challenge established species concepts and existing management regimes derived from these concepts. Genomic data can help inform decisions about how to manage genetic diversity, but policies that protect identified taxonomic entities can generate conflicting recommendations that create challenges for practitioners. We outline three dimensions of management concern that arise when facing new and potentially conflicting interpretations of genomic data: defining conservation entities, deciding how to manage diversity, and evaluating the risks and benefits of management actions. We highlight the often-underappreciated role of values in influencing management choices made by individuals, scientists, practitioners, the public, and other stakeholders. Such values influence choices through mechanisms such as the Rashomon effect, whereby management decisions are complicated by conflicting perceptions of the causes and consequences of the conservation problem. To illustrate how this might operate, we offer a hypothetical example of this effect for the interpretation of genomic data and its implications for conservation management. Such value-based decisions can be challenged by the rigidity of existing management regimes, making it difficult to achieve the necessary flexibility to match the changing biological understanding. We finish by recommending that both conservation geneticists and practitioners reflect on their respective values, responsibilities, and roles in building a more robust system of species management. This includes embracing the inclusion of stakeholders in decision-making because, as in many cases, there are not objectively defensible right or wrong decisions.

Facility location problem using the concept of double domination in m-polar interval-valued fuzzy graph

Graph theory plays a crucial role in the era of computer science, medical science and information technology. The fundamental motivation behind this paper is to present some availability ideas in the m polar interval-valued fuzzy graph (m-PIVFG), which are utilized to portray the interval of the uncertainty of items. What’s more, the m-PIVFG graphs are utilized to portray the underlying connection between ideas in which the vertices and edges are of multi-poles and in the form of interval values to feature the uncertainty conditions. The dominating set involves a basic situation in graph analysis. This paper essentially adds to expanding the idea of double domination in the fuzzy graph to the m-PIVFG and getting the related extended ideas of m-PIVFG. In the interim, the ways to get the particular double dominating sets are introduced. At long last, a numeral model on ambulance service on some villages information in India is introduced to clarify the necessity of double domination in m-PIVFG in the particular application.

Research on Film Cultural Communication in the New Media Environment

Film culture has been a popular form of entertainment since the 1890s, and it has changed with the progress of technology and times. At the same time, the popularity of the Internet has ushered in the era of new media, and peoples demand for entertainment is gradually increasing. Film and new media have become important ways for people to entertain and obtain information, and are also of great significance for social and economic development. This research mainly studies the characteristics and transmission channels of film culture in the era of new media. The purpose of this study is to enable the audience to enjoy the current era and adapt to the changes in the era of science and technology, so as to obtain better perception and experience while ensuring the quality of the film. This paper adopts the literature analysis method. Through the research, this paper finds out that the propagation of films can be improved by increasing the transmission channels and improving their quality.

Panorama historique de l’étude de la réfraction astronomique : une histoire méconnue entre optique, mathématiques et géodésie

From Greek antiquity to the era of computer science, astronomical refraction has raised questions about the real angular position of celestial bodies as seen from Earth surface, the structure of its atmosphere, and the celestial navigation. After introducing the embryonic ideas and the first measurements, the article first presents the early founders of a mathematically structured study: Cassini, Newton, Taylor—the last two inventing appropriate mathematical tools. Then the 18th century geodesists (Bouguer, Lacaille, etc.) enrich the corpus of observations to be understood, followed by the “classics”—Simpson, Bradley, Kramp, Laplace. The progress in metrology allows precise studies of the air refractive index and new theoretical efforts with Biot’s omnipresence. This gain in accuracy requires new calculations involving more sophisticated atmospheric models, as Radau and Ivory, among others, will do. Ivory pointing out a divergence in the numerical series being used, Kummer and Hausdorff find a new mathematical way. Numerical work on computers is eventually making useless all this mathematical virtuosity, although present work keeps relying on Biot’s theoretical advances.

A Review Paper on : Clinical Trials

To assure the safety and effectiveness of any new treatment, clinical research is a crucial step in the drug discovery process. Clinical trials are essential in the worldwide scientific era of today for bringing new and improved medications to market. Human volunteers (subjects) are used in clinical trials to test prospective treatments to see whether they should be licensed for use in the general population. Due to a number of variables, India served as a global centre for clinical trials in the past. Clinical trials and clinical trials in India are discussed in this essay.

The Influence of Science and Technology Innovation Perception Education on Entrepreneurial Intention of College Students

The current employment situation is grim, and the era of science and technology is conducive to college students providing new opportunities for innovation and entrepreneurship. The inclusion of entrepreneurship education in college courses can open up more employment opportunities for students. Therefore, the educational environment is crucial for students’ employment choices. This paper conducted a questionnaire survey on 582 college students from nine universities in Fujian Province, China, to develop a relationship model between science and technology innovation perception, education, and entrepreneurial intention. The results show that: 1. Science and technology innovation perception education has been proven to have a direct positive influence on college students’ entrepreneurial intention; 2. Undergraduates work value orientation (including career orientation, mission orientation, and livelihood orientation) significantly affects entrepreneurial self-efficacy and thus entrepreneurial intention; and 3. Both work value orientation and entrepreneurial selfefficacy have a direct influence on entrepreneurial intention, but the influence of entrepreneurial self-efficacy is greater than that of work value orientation. Therefore, enhancing college students’ entrepreneurial self-efficacy is the main way to improve entrepreneurial intention. Based on this, to improve the entrepreneurial intention of college students, colleges and universities should strengthen science and technology innovation perception education, do a good job in student employment guidance, improve students’ self-efficacy, meet undergraduates’ diverse employment needs, and provide more entrepreneurship resources to undergraduates.

Psychological and emotional communication practices towards schizophrenic patients in the mainstream media under big data

Background With the advent of the era of big data, the financial media space has become an important platform for mainstream media to carry out information dissemination. Schizophrenia is a serious mental illness, and sufferers often face social discrimination and psychological distress. For mainstream media, how to effectively disseminate information about schizophrenia in the era of big data, and how to guide the public to have a correct understanding and compassion for patients, is an urgent problem to be solved.Subjects and Methods Based on big data, this study selects reports, comments and user comments about schizophrenia from mainstream media, and collates and analyzes these data through SPSS23.0, so as to explore the psychological and emotional communication mode and effect of mainstream media on schizophrenia patients.ResultsIt can be seen from the analysis that there are exaggerations and distortions in some mainstream media reports on patients with schizophrenia, leading to misunderstandings and fears of the public. Moreover, the report on schizophrenic patients lacks in-depth understanding and care, and only focuses on the news value of cases, ignoring the humanistic care and social integration of patients.ConclusionsIn the era of big data, popular science and education on mental diseases should be strengthened to reduce discrimination and exclusion of patients. At the same time, mainstream media should enhance their sense of social responsibility, avoid misleading and discriminatory reports, and provide more support and help for patients with schizophrenia.

Human Resource Development in Pharmaceutical Sciences in the New Era of Life Science

Almost 20 years have passed since the six-year pharmaceutical education started as the standard educational course for pharmacists. The six-year pharmaceutical education was originally proposed to nurture the pharmacists who can play important roles in advanced medical care as part of the medical team. Importantly, recent advances in life science are providing additional scientific advantages for the graduates from the six-year pharmaceutical education system. In the new era of life science, clinical training in the six-year education will be beneficial not only for the clinical pharmacists but also for the pharmaceutical scientists. For example, in drug discovery research, numerous studies have been making efforts to identify therapeutic targets based on basic sciences so far. However, as a result of the innovation in life science, such as multi-omics analyses and molecular imaging, we can now perform patient-/disease-oriented research on molecular basis using clinical materials and information. Nowadays, with the help of data science, we can understand the pathophysiological status of individual patients and optimize pharmacotherapy from viewpoint of molecular biology in clinical setting. Moreover, in drug discovery research, we can explore and identify the drug targets by analyzing clinical samples and medical records. Thus, learning from the bedside in detail will develop future leaders, including pharmacists, scientists and pharmacist-scientists, who will pave the way for pharmaceutical sciences in the next generation.

Tsunami event in Flores: literature review

<p class="Abstract"><span lang="EN-GB">The Flores Sea has experienced devastating earthquakes with magnitudes >7 over the past 30 decades. It can trigger a tsunami and provide important theoretical, experimental, and field information. The seismicity study stated that the island of Flores had experienced tsunamis during the pre-instrumental period (1815, 1818, 1820, and 1836) and the pre-instrumental period in 1992. This study discusses the development of tsunami research in Flores using a literature review approach. The data source comes from the Scopus database, with data analysis using VOSviewer. The search results obtained a total of 22 documents, with the result that the 1992 Flores earthquake became the main research topic and the beginning of the era of modern tsunami science</span><span lang="EN-GB">.</span></p>

Https://habibiaislamicus.com/index.php/hirj/article/view/288

In the present era, the importance and relevance of modern education cannot be denied alongside religious education. Just as worldly and hereafter benefits cannot be obtained without religious education, similarly, progress in economic, social, political, and industrial fields is not possible without modern education. In this modern and astonishing era of science and technology, alongside religious, ethical, and spiritual progress, there should also be an understanding of modern science and technology. So, individuals who graduate from religious schools can benefit from acquiring modern education and become a means of earning a livelihood and contributing to the progress of society.

Application of sustainable architecture principles in buildings of innovative research and production facilities

In the era of information society, science and technology keep developing at rapid pace along with a growing number of innovative R&D facilities, whose role in society is increasing and their typology becoming more complex. The study considers architectural and planning solutions for buildings involved in different innovative activities. A review of such implemented projects across Russia and other countries revealed their urban planning significance and their distinctive architectural, planning, spatial, functional and energy-efficiency features as examples of application of sustainable architecture principles.

Plants: past and present in the battle against diabetes

From ancient times, when medicine was based on folk knowledge, to the present era of advanced science, the beneficial effects of plants on various diseases, including diabetes, have been discovered. Approximately 537 million people worldwide have diabetes, and forecasts indicate further increases. Hence, there is a need to develop new effective therapies and interventions to support diabetes treatment. Many plants impact carbohydrate metabolism, and the amount of in vitro and in vivo research on animals and humans continues to grow, updating our knowledge about their potential applications in diabetes treatment and its complications. This review discusses six plant sources with proven anti-diabetic activity. The study serves as a literature review on plants and their derived compounds that exhibit hypoglycemic effects, which are significant in managing prediabetic conditions and diagnosed diabetes.

Ensuring Privacy and Security on Banking Websites in Malaysia: A Cookies Scanner Solution

In this new era of science and technology, data can be said to be an extremely valuable asset for individuals, corporations, and even countries. Different parties attempt to obtain users' data occasionally, and the collection of web cookies is a prominent example. When users use a computer network, their data will be saved by the web server as cookies, including their private information. As people with bad intentions obtain this information, they can use it to commit cybercrimes and cause losses to the information owners. Thus, cookies management is vital for web users to protect their data. This paper proposes a cookies scanner for banking websites in Malaysia to help web users manage cookies. The scope is focused on banking websites as it is the most targeted website by cybercriminals. The proposed scanner will help users identify, understand, and manage cookies to keep their banking information safe. This paper explores existing cookie scanners to determine the proposed system's design and identify improvement areas. In this paper, we proposed a framework to develop the cookie scanner in the browser extension format. The system's access mode, workflow, functionalities, technical specifications, and requirements are discussed throughout the paper. To show our contribution, a copy of the proposed code implementation has been made available at https://github.com/gnohiy/cookies-scanner-for-banking-websites-in-malaysia.git.

Social Reality and Modern Science

As science developed many of the established facts tended to appear in a new light and were seen from an aspect that had earlier been ignored and as a rule new scientific theory originated from the clash of old theories and new facts. Not only that, science has reached at the highest peak of its development. Nevertheless, in this era of science and technology, it has not been fully harnessed to the welfare of humanity. The world today is in a serious crisis and humanity is being constantly threatened or misuse of science. Science ‘therefore’ is not only a blessing but also presents an unprecedented threat to the very existence of the human race. This unhappy consequence is not because of science itself but because of the antagonistic nature of social relationships. It is very clear that, social reality is distinct from biological relating or individual cognitive reality representing as it does a phenomenological level created through social interaction and transcending thereby individual motives and actions. We cannot hope to understand the role of a social scientist properly unless we have some idea of the reality with which he is supposed to be involved either passionately or dispassionately. Philosophy and Progress, Vol#71-72; No#1-2; Jan-Dec 2022 P 29-43

DiffReplication - An Energy-Aware Fault Tolerance Model for Silent Error Detection and Mitigation in Heterogeneous Extreme-scale Computing Environment

At extreme scale, the frequency of silent errors – a class of errors that remain undetected by low-level error detection mechanisms – increases significantly with the computational complexity of the application and the scale of the computing infrastructure. As hardware and software advances are made to usher in the next scientific era of computing, developing new approaches to mitigate the impact of silent errors remains a challenging problem. In this work, we propose an energy-aware fault-tolerance model, referred to diffReplication to overcome silent errors. In the proposed model, the main process is associated with one replica that executes at the same rate as the main process, and one diffReplica that is executed at a fraction of the main process' execution rate. If the main and its replica reach consensus at the end of a computation phase, the state of the diffReplica is updated and computation is resumed. If the synchronization attempt results in a disagreement, however, the diffReplica increases its execution speed to complete the computation and quickly reach the synchronization barrier. Assuming a single error over any given synchronization interval, a majority voting is used to reach consensus and tolerate silent errors. To further enhance its performance, diffReplication is augmented with speculative execution, whereby the main or its fast replica is selected to continue execution without waiting for the diffReplica. The selection process is based on the previous behaviour of the main and its replica. A performance analysis study is carried out to assess the performance of diffReplication, in terms of the energy saving and time-to-completion reduction achieved by the diffReplication scheme. The experiment shows that speculative execution reduces the time to completion with additional energy, and dynamic decision-making balances the energy consumption and time to completion. 

Is it the end of TILLING era in plant science?

Since its introduction in 2000, the TILLING strategy has been widely used in plant research to create novel genetic diversity. TILLING is based on chemical or physical mutagenesis followed by the rapid identification of mutations within genes of interest. TILLING mutants may be used for functional analysis of genes and being nontransgenic, they may be directly used in pre-breeding programs. Nevertheless, classical mutagenesis is a random process, giving rise to mutations all over the genome. Therefore TILLING mutants carry background mutations, some of which may affect the phenotype and should be eliminated, which is often time-consuming. Recently, new strategies of targeted genome editing, including CRISPR/Cas9-based methods, have been developed and optimized for many plant species. These methods precisely target only genes of interest and produce very few off-targets. Thus, the question arises: is it the end of TILLING era in plant studies? In this review, we recap the basics of the TILLING strategy, summarize the current status of plant TILLING research and present recent TILLING achievements. Based on these reports, we conclude that TILLING still plays an important role in plant research as a valuable tool for generating genetic variation for genomics and breeding projects.

From Vision to Instrument: Creating a Next-Generation Event Horizon Telescope for a New Era of Black Hole Science

In April 2019, the Event Horizon Telescope (EHT) Collaboration successfully imaged a supermassive black hole (SMBH) for the first time, revealing the apparent “shadow” cast by the dark compact object M87* in the center of the elliptical galaxy Virgo A [...]