Major Topics Research Articles

Electrochemical Performance According to High-Capacity Silicon Active Materials in Lithium Ion Batteries

Carbon has been used as stable anode material for lithium-ion secondary batteries. However, instead of graphite with a low capacity, a new material with a high capacity that can increase the energy density per volume or mass of a lithium ion secondary battery is required. Among the various candidates, silicon has a high capacity of about 4000 mAh/g, making it a major research subject. Graphite is a combination of 6 carbon atoms and 1 lithium ion, but silicon accepts 4.4 lithium ions per atom, resulting in high volume expansion. In this way, excessive volume expansion causes cracks in the electrode and electrochemical disconnection, which eventually leads to a decrease in battery capacity. The large volume change and low electrical conductivity of silicon limits its application to anodes. Potential silicon-based materials include silicon oxide-based (SiOx), carbon-silicon composite (SiC), and pure silicon (pure Si). Silicon-based oxides have the advantages of high capacity and stable battery life, but have the limitations of low initial efficiency and low electrical conductivity. Carbon-composite silicon has high initial efficiency, high ionic conductivity, high capacity, and can be applied in the same slurry system as existing graphite electrodes. Selection of a stable binder and conductive material is important for active use of silicon-based materials. Promising binders include polyvinyl alcohol (PVA), polyacrylic acid (PAA), and polyacrylamide (PAM), and conductive materials include single-walled carbon nano tube (SWCNT), multi-walled carbon nano tube (MWCNT), and carbon-based conductive materials. In this study, we applied poly(vinyl alcohol-co-acrylic acid) random copolymer polymer as a binder and analyzed the characteristics of silicon-based batteries with various conductive materials. Slurry analyzes such as slurry dispersibility, phase stability, and rheology were performed. The initial efficiencies and cycle performances of different types of silicon-based materials were compared. It was confirmed that the type of silicon-based negative electrode material and the type of conductive material affect battery performance.

Compromising quality parameters lead to fallout: a study of de-indexing of research journals

The study aims to investigate the number of journals de-indexed by Scopus during the last two decades, specifically, from 2000 through 2019. Data for the study were retrieved from SCImago, a Scopus database. The scope of the study is global, covering all the 27 major subject disciplines categorized in Scopus. A total of 6059 research journals were found to be de-indexed from Scopus up until 2019, accounting for 18.61 percent of the total journals indexed in Scopus till date. Among the total de-indexed journals, 2311 (38.14%) journals were de-indexed from the period between 2000 and 2019. A steady decline in the de-indexing of journals has been observed after the year 2010. Among the top 20 countries with the highest number of de-indexed journals, it was found that 90.11 percent of journals have been de-indexed from these countries altogether. The United States stands out as the leading country, contributing to nearly one-third of the total de-indexed journals worldwide, with Medicine (44%) being the leading subject area in the de-indexed journals. On a national level, Sweden takes the lead, recording the highest de-indexing rate of 40.70 percent of journals. Following standard publishing parameters in publishing research results is of utmost importance for several reasons, with the primary one being dissemination of genuine and authentic research for the larger benefit of society. Any compromise with the quality of published research must be addressed seriously, and if necessary de-indexing a journal as a punitive measure should be considered appropriate and welcomed.

A Review of the Critical Gaps in the Food Security Literature: Addressing Key Issues for Sustainable Development

This review paper covers important gaps in the knowledge base on food security, which have an impact on world development and cause an estimated 820 million people to suffer from chronic hunger and malnutrition. Food waste, climate change, socioeconomic considerations, agricultural policy, access to wholesome foods, food sovereignty, and food security are some of the major topics covered in the literature. Because of this, ensuring food security is not a straightforward issue that can be resolved by changing a single variable; rather, it necessitates the combination of numerous multidisciplinary approaches. Therefore, the goal of this study is to pinpoint the major gaps in the literature, such as a lack of attention to the perspectives of marginalized groups and a lack of investigation into the connections between food security and other global issues. The article offers suggestions for future work, including how to prioritize understudied subjects, incorporate other points of view, and enhance data collection techniques. As a result, it can be a useful starting point for linguists who want to research related topics. This study offers new researchers and practitioners a place to start to learn more about the rapidly, growing field of sustainable food security. Future research can also address these gaps and enhance food security globally for a sustainable future. This will require the participation of new scholars, policymakers, and practitioners.

Clinical Value of Circulating microRNAs in Diagnosis and Prognosis of Pancreatic Cancer: A Systematic Review.

Pancreatic cancer (PC) is one of the most common cancers and has a high mortality rate due to high invasiveness and rapid progression. Microribonucleic acid (microRNA) plays an essential role in diagnosing PC in the early stages, which improves the five-year survival rate. This systematic review aims to highlight the different subtypes of serum and plasma microRNAs and panel-based assays of microRNAs and how they play a crucial role in the diagnosis and prognosis of PC as a high-sensitive and specific novel biomarker. Following the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) 2020 guidelines, an in-depth search was performed by using regular keywords and major Medical Subject Heading (MeSH) keywords in PubMed (MEDLINE), PubMed Central, Google Scholar, Science Direct, and Cochrane Library for articles related to this topic and published between 2013 and 2023, up to April 18, 2023. Further eligibility criteria and quality assessment tools were employed to assess the risk of bias, and 13 articles were finalized to be used in this review. The chosen articles included five cross-sectional studies, six systematic reviews and meta-analyses, and two literature reviews. This review provides strong evidence of the usage of microRNA for early diagnosis. It can also be used to exclude differential diagnoses of other diseases, and its prognostic value for determining metastasis and therapeutic efficacy in PC patients. Also, combining microRNA panels with carbohydrate antigen 19.9 (CA19-9) improves the sensitivity and specificity of microRNA as a biomarker.

A bibliometric analysis of literature on bibliometrics in recent half-century

Bibliometrics research has been developed for many years and achieved a great many scientific achievements. The aim of this study is to understand the current research status and development directions of research on bibliometrics. This study implements bibliometric methods based on the Web of Science to analyse the publications, subjects, citation, co-citation, collaboration and keywords of bibliometrics from 1969 to 2022. Bibliometrics is now in the development phase from its cumulative publication curve and citation analysis. Information Science & Library Science and Computer Science are the two major subjects on bibliometric research. Garfield E has the most citations and co-citation frequency in the field of bibliometrics. The number of countries cooperating with the United States is the largest and China is the most productive country; Beijing, London and Madrid are the three sub-network centres of the city cooperation network; Zhang L owns the largest number of author collaborations. Research content on bibliometrics focuses mainly on bibliometrics theory, methods, research evaluation, techniques, tools and applications. The results in this study are beneficial to researchers and readers who are interested in the field of bibliometrics and other related fields to understand the overall picture of bibliometrics, which is conducive to the future development of bibliometrics.

Candida auris: A bibliometric analysis of an emerging global health threat

BackgroundCandida auris (CA) is an emerging fungus, classified as an urgent global health threat, that resists common antifungal drugs and decontamination procedures; identification requires specific tools; transmissibility and mortality are high in healthcare settings. Infection and colonisation can be long-lasting, leading to problems in isolation procedures and the risk of outbreaks. This study aims to evaluate publication and citation related metrics, identify major keywords and topics, and assess geographic distribution of published articles. MethodsA list of all publications containing "Candida auris" in all fields was extracted from Web Of Science on date 2023/01/02. Bibliometric analysis was conducted using the bibliometrix and biblioshiny packages on RStudio. ResultsTotal publications (TP) were 1283 with an annual growth rate of 53.91%. Total citations were 27854, with an average of 21.71 citations per paper. The core sources are 9 out of 322, according to Bradford's law. In only 42 countries where CA was identified, articles on the topic were published (89%). The origin of TP is concentrated in high-income countries (68.22%). Trending topics about CA include epidemiology, identification and resistance. ConclusionOur analysis shows a growing interest in scientific literature on the topic of CA, led by Europe. In some countries where CA has been identified, no papers have been published. Despite the multidrug-resistance of CA, the topic of therapy is not much debated. Our findings highlight the need to increase focus on CA in order to promote health systems’ preparedness and to properly address the spread of this worrisome pathogen.

News Coverage of Face Masks in Australia During the Early COVID-19 Pandemic: Topic Modeling Study.

During the COVID-19 pandemic, web-based media coverage of preventative strategies proliferated substantially. News media was constantly informing people about changes in public health policy and practices such as mask-wearing. Hence, exploring news media content on face mask use is useful to analyze dominant topics and their trends. The aim of the study was to examine news related to face masks as well as to identify related topics and temporal trends in Australian web-based news media during the early COVID-19 pandemic period. Following data collection from the Google News platform, a trend analysis on the mask-related news titles from Australian news publishers was conducted. Then, a latent Dirichlet allocation topic modeling algorithm was applied along with evaluation matrices (quantitative and qualitative measures). Afterward, topic trends were developed and analyzed in the context of mask use during the pandemic. A total of 2345 face mask-related eligible news titles were collected from January 25, 2020, to January 25, 2021. Mask-related news showed an increasing trend corresponding to increasing COVID-19 cases in Australia. The best-fitted latent Dirichlet allocation model discovered 8 different topics with a coherence score of 0.66 and a perplexity measure of -11.29. The major topics were T1 (mask-related international affairs), T2 (introducing mask mandate in places such as Melbourne and Sydney), and T4 (antimask sentiment). Topic trends revealed that T2 was the most frequent topic in January 2021 (77 news titles), corresponding to the mandatory mask-wearing policy in Sydney. This study demonstrated that Australian news media reflected a wide range of community concerns about face masks, peaking as COVID-19 incidence increased. Harnessing the news media platforms for understanding the media agenda and community concerns may assist in effective health communication during a pandemic response.

An inclusive trend study of evaluation and scientometric analysis of microplastics

Plastics have been the most favorable requirement for the current generation, and it has become an emerging global concern. MPs (Microplastics) have been pervading for 20 years and affecting human health. Recently research related to MPs has catered to solve the hazardous effects growing on the surroundings (Marine life, human health, etc). The current study discovers research areas and themes, followed by the performance indicators (authors, journals contributing to the research related to MPs) to conceptualize the initial and present pavements in MPs by bibliometric analysis. The major research topics seen in 2018–2022 in the field of MPs are sampling and association impacts, plastic pollution in micro-nano levels (related to health hazards), and source detection and treatments. The most availed areas were marine, surface water, wastewater, and drinking water followed by very few studies that validated the research in the area of atmospheric MPs. However, the study found that MPs associated with air quality research enticed environmental effects, airborne particle association, transportation and deposition, and atmospheric pollution. The realms of MPs associated with air pollution and air quality are undiscovered to their extent and the research related to the effects on human health remains minimal. The review attempts to explore research based on MPs and provide the overall research themes for researchers to find solutions to the growing issues related to MPs.

Metric Dimension of Line Graphs of Bakelite and Subdivided Bakelite Network

Graph theory is considered one of the major subjects, and it also plays a significant role in the digital world. It has numerous uses in computer science, robot navigation, and chemistry. Graph theory is employed in forming the structures of different chemical networks, locating robots on a network, and troubleshooting computer networks. Additionally, it finds applications in scheduling airplanes and studying diffusion mechanisms. The current work investigates the metric dimension of the line graphs of the Bakelite and subdivided Bakelite networks. The results prove that these families of graphs do not have a constant metric dimension. The invention of Bakelite was influential in the development of modern plastics, and it has various applications in fields such as jewelry, clocks, toys, kitchenware, electrical, and sports industries.

Users' Concerns About Endometriosis on Social Media: Sentiment Analysis and Topic Modeling Study.

Endometriosis is a debilitating and difficult-to-diagnose gynecological disease. Owing to limited information and awareness, women often rely on social media platforms as a support system to engage in discussions regarding their disease-related concerns. This study aimed to apply computational techniques to social media posts to identify discussion topics about endometriosis and to identify themes that require more attention from health care professionals and researchers. We also aimed to explore whether, amid the challenging nature of the disease, there are themes within the endometriosis community that gather posts with positive sentiments. We retrospectively extracted posts from the subreddits r/Endo and r/endometriosis from January 2011 to April 2022. We analyzed 45,693 Reddit posts using sentiment analysis and topic modeling-based methods in machine learning. Since 2011, the number of posts and comments has increased steadily. The posts were categorized into 11 categories, and the highest number of posts were related to either asking for information (Question); sharing the experiences (Rant/Vent); or diagnosing and treating endometriosis, especially surgery (Surgery related). Sentiment analysis revealed that 92.09% (42,077/45,693) of posts were associated with negative sentiments, only 2.3% (1053/45,693) expressed positive feelings, and there were no categories with more positive than negative posts. Topic modeling revealed 27 major topics, and the most popular topics were Surgery, Questions/Advice, Diagnosis, and Pain. The Survey/Research topic, which brought together most research-related posts, was the last in terms of posts. Our study shows that posts on social media platforms can provide insights into the concerns of women with endometriosis symptoms. The analysis of the posts confirmed that women with endometriosis have to face negative emotions and pain daily. The large number of posts related to asking questions shows that women do not receive sufficient information from physicians and need community support to cope with the disease. Health care professionals should pay more attention to the symptoms and diagnosis of endometriosis, discuss these topics with patients to reduce their dissatisfaction with doctors, and contribute more to the overall well-being of women with endometriosis. Researchers should also become more involved in social media and share new science-based knowledge regarding endometriosis.

Research Progress of Laminated Composite Ceramic Cutting Tools

The design of the lamination structure based on bionic shell pearl layer is a successful method for toughening ceramics. Lamination with strong bonding interfaces is used to improve the mechanical property and low fracture toughness of ceramic cutting tools. Based on the idea of demand–design–preparation–analysis–failure, the development and research progress of laminated ceramic tools are reviewed herein. The research status of design, interlayer diffusion reaction, residual stress, toughening mechanism, and crack propagation path of the biomimetic laminated ceramic composite tool materials is mainly introduced. The major topics of current research include the creation of material systems, the evolution of microstructure, and the assessment of macroscopic mechanical properties. The entire mechanical properties of laminated ceramic tools are significantly influenced by the multicomposition design of the ceramic material system and the optimization design of structural parameters of layer number and layer thickness ratio. However, the research on the practical cutting application of laminated ceramic tools is limited. Cutting tool wear characteristics vary between laminated and homogeneous ceramic tools. The development of useful laminated ceramic cutting tools can greatly benefit from the study on failure mechanisms of laminated ceramic tools.

애니메이션 영상매체를 활용한 여성건강간호 사례기반학습의 효과

Objectives This study aimed to identify the effect of case-based learning using animation media in women’s health nursing.
 Methods The participants were nursing students who took a theoretical class in women’s health nursing in the first semester in 2021. For the experimental and control groups, case-based learning by animation media and a lecture were conducted, respectively. Regarding the effects, critical thinking disposition, learning motivation, academic self-efficacy, learning attitude, and learning satisfaction were obtained through an online survey.
 Results Statistically significant differences were observed between learning motivation (Z=-2.09, p=.037), academic self-efficacy (Z=-2.05, p=.040), and learning attitude (Z=-2.37, p=.018) in the experimental group compared to the control group. Regarding critical thinking disposition (Z=-1.81, p=.070) and learning satisfaction (t=-0.38, p=.544), the experimental group an increase compared to the control group; however, the differences were not significant.
 Conclusions Animation video media could be used as an effective teaching and learning method to provide case-based learning in the theoretical subjects in women's health nursing. Therefore, the application of various nursing major subjects is expected to improve learning abilities, such as learning motivation and attitude, and academic self-efficacy, of nursing students and contribute to improving their theoretical and practical capabilities.

Knowledge Mapping with CiteSpace, VOSviewer, and SciMAT on Intelligent Connected Vehicles: Road Safety Issue

The rapid development of the Intelligent connected vehicle (ICV) industry has stimulated technological innovation in energy and communication while also highlighting the need for effective policies and road safety measures. Understanding and addressing road safety issues in the context of ICVs can contribute to ICV development and safe driving. This paper employs a knowledge mapping approach to scientifically and intuitively demonstrate research on the road safety issues of ICV over the last decade. By utilizing bibliometric tools such as CiteSpace, VOSviewer, and SciMAT, a total of 3661 original articles from the Web of Science are examined to explore three aspects. Firstly, the study investigates the collaborative relationships among authors and institutions within the industry. Secondly, it summarizes major research topics by analyzing and clustering keywords. Lastly, the paper identifies research hotspots and predicts future research directions. The findings reveal a dynamic field characterized by close collaboration among diverse institutions, with China and the United States emerging as the most active countries and mathematics and computer science journals becoming mainstream. According to three bibliometric tools, the research topics primarily revolve around three areas: Vehicular ad hoc Networks (VANET), intelligent transportation systems (ITS), and network security. Machine learning and V2X communication are predicted to be essential research topics in the next stage. Research on traffic accidents still has potential as the number of ICVs increases.

Molecular and biochemical biomarkers in the American oyster Crassostrea virginica exposed to herbicide Roundup® at high temperature.

Aquatic organisms are frequently exposed to various environmental stressors. Thus, the effects of high temperatures and herbicides on aquatic organisms are a major subject of interest. In this study, we studied the effects of short-term exposure (1week) to Roundup®, a glyphosate-based herbicide (concentrations: 0.5 and 5µg/L), on the morphology of gills, digestive glands, and connective tissues, and the expression of heat shock protein-70 (HSP70, a chaperone protein), cytochrome P450 (CYP450, a biomarker of environmental contaminants), dinitrophenyl protein (DNP, a biomarker of protein oxidation), nitrotyrosine protein (NTP, a biomarker of protein nitration), antioxidant enzymes such as superoxidase dismutase (SOD) and catalase (CAT) in tissues of American oyster, Crassostrea virginica (Gmelin, 1791) maintained at high temperature (30°C). Histological analyses showed an increase in mucous production in the gills and digestive glands, and in hemocyte aggregation in the connective tissues as well as a structural change of lumen in the digestive glands of oysters exposed to Roundup. Immunohistochemical and quantitative RT-PCR analyses showed significant (P < 0.05) increases in HSP70, CYP450, DNP, NTP, CAT, and SOD mRNA and protein expressions in the tissues of oysters exposed to Roundup. Taken together, these results suggest that exposure to Roundup at high temperature induces overproduction of reactive oxygen species/reactive nitrogen species which in turn leads to altered prooxidant-antioxidant activity in oyster tissues. Moreover, our results provide new information on protein oxidation/nitration and antioxidant-dependent mechanisms for HSP70 and CYP450 regulations in oysters exposed to Roundup at high temperature.

UNIVERSITY LECTURERS VIEWS OF THE LEVEL OF SUSTAINABILITY AWARENESS AMONG COMPUTER EDUCATION STUDENTS

The purpose of this research is to examine how the communication model used in primary schools affects the academic performance of migrant students from Syria, as perceived by both teachers and students. The study aims to determine whether the communication model has positive or negative effects on the academic success of these students. Thus, the case study approach, a qualitative research methodology, was deemed favorable. The major subjects of this study are Syrian refugees now enrolled in elementary schools in the Turkish cities of Gaziantep as well as Hatay, as well as the instructors who instruct these pupils. Twenty-two Syrian refugee pupils and fifteen of their teachers were interviewed using a semi-structured form to collect their perspectives. NVivo R1 was used to do the analysis on the data collected during the semi-structured interview. The research findings indicate that the lack of proficiency in Turkish language had a detrimental impact on the academic performance of the students. The imperative for school stakeholders to address the communication challenges faced by immigrant students necessitates a collaborative approach. The lecturer adeptness in communication and their preparedness in handling immigrant students facilitate their ability to effectively address any challenges that may arise within the educational institutions they serve. The positive impact of this will be reflected in the accomplishment of two educators as well as learners.

Optimization of dissolved hydrogen concentration for mitigating corrosive conditions of pressurized water reactor primary coolant under irradiation (1) evaluation of water radiolysis

ABSTRACT A major subject for evaluating the corrosive conditions in the pressurized water reactor (PWR) primary coolant is to determine the optimal hydrogen concentration for mitigating primary water stress corrosion cracking (PWSCC) without adverse effects on major structural materials. An analytical method combining water radiolysis and electrochemical corrosion potential (ECP) analyses was proposed for evaluating the corrosive conditions in PWR primary coolant. These procedures originally developed for boiling water reactors (BWRs) were successfully extended to PWRs with different water chemistry parameters, including pH, temperature, and radiation qualities, after minor changes in the original procedures and major input parameters, such as the inclusion of the effects of alpha radiolysis and Li+ (Na+) and H+ effects for the anodic polarization curve. This study discusses the results of water radiolysis analysis for PWR primary coolant, and the characteristic behavior of hydrogen peroxide (H2O2) as a function of hydrogen inlet concentrations in PWR primary coolant conditions (higher pH and α-ray irradiation). A possible reaction scheme involving eaq – was proposed for H2O2 suppression under alkaline conditions. The corrosive conditions were discussed in the following publication, using ECP as the major index for PWR corrosive conditions.

Deep learning for COVID-19 topic modelling via Twitter: Alpha, Delta and Omicron.

Topic modelling with innovative deep learning methods has gained interest for a wide range of applications that includes COVID-19. It can provide, psychological, social and cultural insights for understanding human behaviour in extreme events such as the COVID-19 pandemic. In this paper, we use prominent deep learning-based language models for COVID-19 topic modelling taking into account data from the emergence (Alpha) to the Omicron variant in India. Our results show that the topics extracted for the subsequent waves had certain overlapping themes such as governance, vaccination, and pandemic management while novel issues aroused in political, social and economic situations during the COVID-19 pandemic. We also find a strong correlation between the major topics with news media prevalent during the respective time period. Hence, our framework has the potential to capture major issues arising during different phases of the COVID-19 pandemic which can be extended to other countries and regions.

Spherical Fuzzy Present Worth Analysis Method for Emergency Hospital Investment Analysis

As a subject of engineering economics, investment analysis plays an important role and use analysis techniques in the solution process. Present worth analysis, return of investment, and cost&#x002F;benefit analysis are the most popular investment analysis techniques in engineering economics. However, since some investment values are determined by humans&#x002F;experts and these values are based on human thoughts, it is very difficult to specify exact values. In this way, fuzzy logic can be a better alternative for calculating vagueness in engineering economics&#x0027; applications. Thus, uncertain cash flows, indefinite life, and indefinite time value of money require to use fuzzy present worth analysis. As a new extension of fuzzy sets, spherical fuzzy sets have stronger capabilities to model uncertain information in investment analysis problems. In this article, spherical fuzzy present worth analysis method is presented for the first time to address the fuzzy parameters of public emergency hospital investment, which is currently a major subject in Turkey. The public emergency hospital for three locations on the European side of Istanbul is evaluated using spherical fuzzy present worth analysis method. While the best location for the emergency hospital is determined as Kemerburgaz, we also conduct a sensitivity and comparison analysis in order to show the robustness and applicability of the proposed method.

Life along the fish lateral line and beyond

The author came to lateral line research rather by chance, yet this sensory system ended up as the main research focus of my entire scientific career. This paper is not a review article. Instead, it gives an overview of some of the major research topics that the author, collaborators, and students have worked on for more than 4 decades. During the last century, lateral line research was mostly approached by using mono-frequency water motions generated in still water with a stationary vibrating sphere. At the beginning, this approach was necessary and useful. During studies, it became apparent that the fish lateral line can only be fully understood if more natural hydrodynamic stimuli (including natural hydrodynamic noise) were applied. Better methods, like particle image velocimetry, are then needed in the research of lateral line systems. Finally, how a biomimetic approach can be used to investigate lateral line function is discussed. In the final paragraph, some research gaps and hence, opportunities that still exist in the research of the lateral line systems are highlighted.

Perspectives and viewpoints of undergraduate students towards library and information science (LIS) as a major subject of study and preferred profession

Perspectives and viewpoints of undergraduate students towards library and information science (LIS) as a major subject of study and preferred profession