Cost Advantages Research Articles

A compact solid-state high repetition rate trigger based on a spiral generator.

The trigger generator made with a spiral generator (SG) has the advantages of light weight, compact structure, and low cost and has promising applications in the pulsed power field. This paper introduces a compact solid-state high-voltage pulse trigger system based on an improved SG, which has improved repetition rate and lowered the demands for semiconductor switches' maximum current and current rise rate when compared with previous studies. The improvement is achieved by winding outward an additional layer of the passive layer and low-voltage metal strip, which realizes a significant reduction of the peak current and current rise rate of the discharge switch. The final dimension of the trigger is 25 × 10 × 10cm3, excluding the power supply. An experiment carried out in single shot mode shows that the peak value of the output pulse can reach 50kV with a leading edge of 57ns. Repetitive experiments were carried out up to 1kHz, with the peak voltage of the output pulse being 30.5kV, the leading edge being 48ns, and the jitter being 0.84ns. Finally, the generator is used to trigger a gas switch, and it works stably and reliably.

Identification of Concrete Crack Using Deep Learning Based Approach

Cracks reflect the safety and durability of concrete structures, and the existing artificial crack detection has the disadvantages of low efficiency and large error. However, the use of deep learning of images to identify cracks has the advantages of high efficiency, small error and low cost. This paper systematically discusses the deep learning in the identification of concrete structure cracks, expounds the deep learning technology, studies the SqueezeNet network model and YOLO (You Only Look Once) network model in the field of concrete structure crack identification, and improves the model according to the test results. In this paper, the classification accuracy based on crack trend is improved by increasing the width and depth of the Fire module of the SqueezeNet network. Secondly, the target detection accuracy is improved by the transfer learning of the YOLO model. The results show that the classification accuracy of the improved SqueezeNet model is more than 82% and the recognition accuracy of YOLO model is more than 92%.

The Effects of the Regional Comprehensive Economic Partnership on China’s Trade, Tariff Revenue and Welfare

Increasing attention is being paid to the role of regional economic integration in facilitating a country's trade. This is especially true for the state like China, which has the second largest GDP in the world. This study explores the effects of the Regional Comprehensive Economic Partnership (RCEP) on China, looking at changes in welfare, trade creation, trade diversion, and tariff revenue under four tariff reduction scenarios with RCEP members. The study evaluates how RCEP affects China's trade relations with Japan, Korea, ASEAN, Australia, and New Zealand by using the World Bank's World Integrated Trade Solution Software for Market Analysis and Restrictions on Trade (WITS-SMART) tool. The findings demonstrate increased market accessibility and competitiveness of commodities in the Chinese market, with notable increases in trade creation and diversion, especially with Korea and Japan. RCEP considerably increases welfare even though it results in lower tariff revenues, indicating that the advantages of lower trade costs and more effective supply chains exceed the fiscal drawbacks. The paper concludes with policy recommendations that emphasize the need for strategic adaptations in China’s trade policies to fully capitalize on the economic opportunities presented by RCEP, ensuring sustainable growth and the equitable distribution of trade benefits among all member states.

Advances of Perovskite Solar Cells

To address the challenge posed by the growing global energy demand, perovskite solar cells (PSCs) present a sustainable and clean solution with the advantage of low cost, high power conversion efficiency (PCE) and easy processing features [...]

Language Attitudes toward Accented Speech in the Workplace in Switzerland

Purpose: The aim of the study was to analyze the language attitudes toward accented speech in the workplace in Switzerland. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: Language attitudes toward accented speech in the workplace in Switzerland reveals a nuanced perception influenced by the country's multilingual environment. Studies indicate that individuals with native Swiss German accents tend to receive higher professionalism ratings compared to those with foreign accents, reflecting a bias that aligns with local linguistic preferences. Additionally, accents from non-European languages often face stigmatization, leading to perceptions of reduced competence and credibility. However, some findings suggest that exposure to diverse accents can foster greater acceptance and appreciation over time, particularly in multicultural workplaces. Unique Contribution to Theory, Practice and Policy: Social identity theory, linguistic accommodation theory & perception theory may be used to anchor future studies on the language attitudes toward accented speech in the workplace in Switzerland. Organizations should develop clear guidelines for performance evaluations that eliminate the subjective influence of accent bias. Organizations should establish policies that mandate participation in diversity training for all employees, including during onboarding and ongoing professional development.

Code-Switching in Multilingual Communities: A Sociolinguistic Study in Ireland

Purpose: The aim of the study was to analyze the code-switching in multilingual communities: a sociolinguistic study in Ireland. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: In a sociolinguistic study on code-switching in multilingual communities in Ireland, researchers found that code-switching serves as a vital communicative tool among bilingual speakers, facilitating social interaction and identity expression. The study revealed that individuals often switch languages to navigate different cultural contexts, signal group membership, and convey nuanced meanings that are culturally specific. Unique Contribution to Theory, Practice and Policy: Sociolinguistic theory, speech accommodation theory & translanguaging theory may be used to anchor future studies on the code-switching in multilingual communities: a sociolinguistic study in Ireland. Educators should adopt inclusive pedagogical strategies that recognize code-switching as a legitimate form of communication within the classroom, allowing students to explore their linguistic identities. Educational policies should mandate the incorporation of bilingual education programs that respect and utilize code-switching as a learning tool, promoting teacher training programs that equip educators with the skills to support multilingual students.

Effect of Economic Policies on Income Inequality: A Comparative Study of Switzerland and Bolivia

Purpose: The aim of the study was to examine the effect of economic policies on income inequality: a comparative study of Switzerland and Bolivia. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: Switzerland, with its advanced economy, implements progressive tax policies, robust social welfare programs, and equitable education systems, contributing to relatively low income inequality. In contrast, Bolivia, a developing nation, faces challenges in reducing income inequality due to less effective economic policies, limited social safety nets, and a larger informal sector. The study underscores that while Switzerland's policies effectively mitigate income disparities, Bolivia's efforts are hindered by structural economic issues and policy limitations. Unique Contribution to Theory, Practice and Policy: The Kuznets curve theory, the human capital theory & the social stratification theory may be used to anchor future studies of climate change on risk management practices in agriculture in Switzerland. From a practical perspective, the study provides actionable insights for improving the design and implementation of economic policies. The study offers several policy recommendations for both developed and developing economies. Policymakers in Switzerland should consider revising tax policies to address the increased burden on higher-income individuals and improve the overall equity of the system.

Effect of Language Learning Apps on Vocabulary Acquisition in South Africa

Purpose: The aim of the study was to analyze the effect of language learning apps on vocabulary acquisition in South Africa. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: The effect of language learning apps on vocabulary acquisition in South Africa indicate that these digital tools significantly enhance learners' vocabulary skills. Research shows that students who regularly used language learning apps demonstrated a notable improvement in their vocabulary acquisition compared to those who relied on traditional methods. The interactive features of these apps, such as gamified learning and spaced repetition, contributed to increased engagement and retention of new words. Additionally, learners reported higher motivation levels and a greater sense of autonomy in their language studies. Unique Contribution to Theory, Practice and Policy: Constructivist learning theory, cognitive load theory & second language acquisition (SLA) theory may be used to anchor future studies on the effect of language learning apps on vocabulary acquisition in South Africa. Educational institutions should collaborate with app developers to ensure that language learning apps incorporate these theories. Policymakers should encourage the adoption of evidence-based design principles in the development of educational technology by providing funding and resources for research in this area.

Influence of Cultural Background on Language Comprehension in Philippines

Purpose: The aim of the study was to analyze the influence of cultural background on language comprehension in Philippines. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: Research on the influence of cultural background on language comprehension in the Philippines reveals significant disparities in reading proficiency among students from diverse cultural contexts. Studies indicate that students who identify strongly with their cultural heritage often demonstrate better comprehension of texts that resonate with their cultural experiences, while those encountering unfamiliar cultural references face challenges in understanding materials. Factors such as socio-economic status, access to educational resources, and the prevalence of multilingualism also impact comprehension outcomes. Unique Contribution to Theory, Practice and Policy: Cultural-historical activity theory, sociocultural theory & intercultural communication theory may be used to anchor future studies on the influence of cultural background on language comprehension in Philippines. Educators should implement culturally responsive teaching strategies that acknowledge and leverage students' cultural backgrounds in language instruction. Educational policymakers should prioritize the inclusion of cultural diversity in language education frameworks and curricula.

Climate Change Awareness and Policy Implementation in Canberra

Purpose: The aim of the study was to analyze the climate change awareness and policy implementation in Canberra. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: The study revealed that while there is a high level of public awareness and concern about climate change among residents, translating this awareness into effective policy action remains a challenge. The local government has implemented various policies aimed at reducing carbon emissions and promoting sustainability, but gaps persist in policy enforcement and public engagement. The findings suggest that stronger collaboration between policymakers, community stakeholders, and educational campaigns is needed to bridge the gap between awareness and actionable outcomes in combating climate change in Canberra. Unique Contribution to Theory, Practice and Policy: Social cognitive theory, framing theory & the theory of planned behavior may be used to anchor future studies on climate change awareness and policy implementation in Canberra. Educational campaigns should incorporate interactive workshops, online resources, and community events that encourage participation and foster a deeper understanding of climate policies. Policymakers should allocate funding for climate education initiatives, ensuring that they are integrated into school curricula and community learning programs, thereby institutionalizing climate education.

Sea Level Rise and Coastal Erosion in Miami

Purpose: The aim of the study was to analyze the sea level rise and coastal erosion in Miami. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: Sea level rise and coastal erosion in Miami are growing environmental concerns due to the city's low elevation and proximity to the ocean. Studies have shown that rising sea levels, driven by climate change, are accelerating the erosion of Miami's coastline, threatening infrastructure, homes, and ecosystems. The increased frequency of tidal flooding and storm surges exacerbates the problem, making coastal areas more vulnerable. Unique Contribution to Theory, Practice and Policy: Resilience theory, social vulnerability theory, ecosystem-based adaptation (EBA) Theory may be used to anchor future studies on sea level rise and coastal erosion in Miami. Implement local ICZM strategies that involve stakeholders in decision-making processes, ensuring that community needs are met while enhancing coastal resilience. Advocate for policies that support adaptive management practices and funding for local ICZM initiatives.

Enhancing MQTT-SN Security with a Lightweight PUF-Based Authentication and Encrypted Channel Establishment Scheme

The communication of Industrial Internet of Things (IIoT) devices faces important security and privacy challenges. With the rapid increase in the number of devices, it is difficult for traditional security mechanisms to balance performance and security. Although schemes based on encryption and authentication exist, there are still difficulties in achieving lightweight security. In this paper, an authentication and key exchange scheme combining hardware security features and modern encryption technology is proposed for the MQTT-SN protocol, which is not considered security. The scheme uses Physical Unclonable Functions (PUFs) to generate unpredictable responses, and combines random numbers, time stamps, and shared keys to achieve two-way authentication and secure communication between devices and broker, effectively preventing network threats such as replay and man-in-the-middle attacks. Through verification, the proposed scheme has proved effective in terms of security and robustness, has computational and communication cost advantages compared with recent schemes, and provides higher availability.

Role of Climate Change in Altering Bird Migration Patterns in Vietnam

Purpose: The aim of the study was to analyze the role of climate change in altering bird migration patterns in Vietnam. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: Climate change has significantly altered bird migration patterns in Vietnam, primarily due to shifting temperatures, altered precipitation patterns, and habitat loss. Warmer temperatures have caused many migratory birds to adjust their timing, either arriving earlier or delaying their departure, which often leads to mismatches with food availability and breeding conditions. Additionally, changes in rainfall patterns have impacted the availability of critical stopover sites, such as wetlands, which are essential for resting and refueling during migration. Habitat loss due to climate change and human activities has further compounded these challenges, threatening the survival of various bird species that rely on consistent migratory routes. Unique Contribution to Theory, Practice and Policy: Ecological niche theory, phenological mismatch theory & climate envelope theory may be used to anchor future studies on role of climate change in altering bird migration patterns in Vietnam. Conservation practices should focus on adaptive habitat management that accounts for the changing migration patterns of birds due to climate change. Policymakers should prioritize the development of climate-responsive conservation policies that explicitly address the impacts of climate change on migratory bird species.

Extraction of uranium from water: A strategy based on tribocatalysis

Due to most of the U(VI) extraction methods suffering the issues of high cost and low efficiency, finding a new method is still urgent. In this work, we report a way to remove U(VI) from water by tribocatalysis, where a natural mineral of attapulgite is used as the tribocatalyst. By a careful investigation, it is confirmed that the ultrasonic-generated microbubbles rub with the attapulgite to form free radicals of h+, ·O2-, and ·OH, which could then be transformed to H2O2 to react with U(VI) to form UO2O2. The extraction rate of U(VI) from water is up to 87.88% (50 ppm) in 200 min. This work using the natural mineral attapulgite being tribocatalyst has the advantages of low cost and high efficiency, which also provide new insight into the conversion of U(VI) in natural conditions and will have great potential in the treatment of nuclide wastewater and seawater.

Oil prices and the renewable energy transition: Empirical evidence from China

This paper explores the effect of oil price, gross domestic product (GDP), and carbon dioxide (CO2) emissions on renewable energy consumption in China from 1990 to 2020, utilizing the canonical cointegrating regression (CCR) method. The findings indicate that the oil price, GDP and CO2 emissions positively and significantly affect renewable energy consumption over the examined time frame. Numerically, a 1% increase in oil prices, GDP, and CO2 emissions results in a 0.16%, 0.39%, and 1.70% increase in renewable energy consumption, respectively. The positive effect of oil prices on renewable energy consumption can be seen as the cost advantage of renewable energy, which may grow with rising oil prices, leading to a rise in its adoption. The study underscores the significance of promoting renewable energy usage, emphasizing the need for policies that aid energy security and environmental sustainability.

Flag of convenience and the tragedy of the commons in maritime transportation

Flag of convenience (FOC) refers to the practice of registering ships in foreign countries to benefit from lax regulations. While FOC offers several short-term cost advantages to ship owners and FOC countries, it poses significant threats to critical international interests, including environmental protection and marine habitat preservation. Despite global outrage and concerns over FOC's environmental impact, the number of FOC ships have continued to rise. Using game theory, we illustrate how individual rationality – opting for FOC to maximize economic benefits – leads to adverse outcomes for the common good, resulting in increased marine pollution, that we refer to as the tragedy of the commons. Our findings have implications for understanding the strategic behaviour of key players in the maritime transportation, revealing the dark side of globalization and stressing the need for stronger international cooperation to shift these behaviours.

Designed synthesis of demethylated-hydroxymethylated lignin-based adsorbent for removal of Cr(VI) ions from wastewater

Lignin-based adsorbents for the removal of Cr(VI) ions have attracted intensive attention due to the advantages of renewability, biodegradablity, low cost and environmental friendliness. However, there are still a lot of challenges such as poor adsorption capacity, low lignin content in adsorbents, and harsh preparation conditions. Here, a tandem hydroxymethylation-demethylation method is proposed for preparing an excellent lignin-based Cr(VI) adsorbent (DHKL), which features with high lignin content (>85 wt%) and high hydroxyl content (up to 6.26 mmol/g) under milder conditions. The prepared DHKL exhibits an adsorption capacity reaching up to 1040.9 mg/g and can maintain this capacity even in the presence of other metal ions in the solution. Model analyses indicate that chemisorption occurring in a monolayer is the main process, which is spontaneous and endothermic. Structural changes of DHKL before and after adsorption indicated that Cr(VI) ions are mainly reduced to Cr(III) ions by hydroxyl groups with some of the absorbed Cr ions dispersed into the inner part of DHKL. Based on these results, the detailed possible adsorption mechanism is deduced, providing guidance for designing, producing and utilizing lignin-based adsorbents.

N-doped LiNi0.65Co0.15Mn0.2O2 ternary cathode materials for improved electrochemical performance

LiNi0.65Co0.15Mn0.2O2 (NCM) has some advantages of high specific capacity, low cost, and environmental friendliness, but its high nickel content leads to serious cationic mixing and poor cycling and rate performance. The N doping LiNi0.65Co0.15Mn0.2O2 (NCM-x%N) is prepared by co-precipitation method. It is indicated by various representational means that N doping can reduce the particle size, effectively inhibit the cationic mixing degree, and increase lattice spacing. The means can improve the diffusion rate of lithium ions, among which N doping LiNi0.65Co0.15Mn0.2O2 (NCM-3%N) of x = 3 has the best electrochemical performance. After 100 cycles at 0.1C, the specific discharge capacity was 137.8 mA·h·g−1 (85.80 % capacity retention rate), which is 15.87 % higher than other NCM. The magnification performance is tested at 0.1C, 0.2C, 0.5C, 1C, and 2C. After 25 cycles, the capacity retention rate of NCM-3%N was 92.1 %, 11.11 % higher than that of NCM. Reaction kinetics showed that NCM-3%N has a lithium-ion diffusion coefficient that is higher than NCM.

Salvinia natans-Based Hierarchical Structures for Solar Thermal Clean Water Production from High-Salinity Wastewater.

Biomaterial-based solar-driven evaporation has great potential for wastewater treatment and seawater desalination with a high energy conversion and utilization efficiency. However, technology gaps still exist for effectively and directly applying multiscale structures and intrinsic water transport channels of natural materials to enhance high-efficiency photothermal evaporation. In this study, a high-performance biomass-derived photothermal evaporative material was obtained using Salvinia natans, a common aquatic floating plant, together with simple poly(m-phenylenediamine) oxidation modification, building a hybrid biomass evaporator. With advantageous natural features of adequate water transport, microscale-nanoscale hierarchical structures, effective water activation, and antisalt-fouling function, the hybrid biomass evaporator achieves a high evaporation rate of 2.24 kg m-2 h-1 under one sun radiation (1 kW m-2). In addition, modified Salvinia natans also demonstrate certain ability to remove heavy metals during the photothermal evaporation of wastewater. This work offers a new perspective on the synthesis of an environmentally friendly and cost-effective solar-driven evaporator material, which has the advantages of low cost, simple process, and high photothermal conversion efficiency, and can be widely applied to seawater desalination and the treatment of wastewater with high salt concentrations.

HYBRID CLOUD DATABASES FOR BIG DATA ANALYTICS: A REVIEW OF ARCHITECTURE, PERFORMANCE, AND COST EFFICIENCY

The increasing reliance on big data analytics has driven organizations to seek more flexible, scalable, and cost-effective data management solutions, with hybrid cloud databases emerging as a prominent option. Hybrid cloud databases integrate both public and private cloud environments, allowing businesses to balance the scalability and cost advantages of public clouds with the security and control provided by private clouds. This systematic review, conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, examines the architecture, performance, cost efficiency, security, and technological advancements of hybrid cloud databases. The study synthesizes findings from 40 peer-reviewed articles published between 2015 and 2024, focusing on key factors that affect the performance of hybrid cloud databases, such as workload distribution, network latency, and the use of advanced data analytics tools like Hadoop and Spark. The review also explores cost-saving mechanisms, including dynamic resource scaling and pay-as-you-go pricing models, which help organizations reduce infrastructure costs by up to 28%. Additionally, it discusses the security risks and privacy concerns associated with hybrid cloud environments, highlighting the effectiveness of encryption protocols and identity access management systems in mitigating data breaches by as much as 40%. Furthermore, the review identifies emerging trends in the integration of machine learning and artificial intelligence (AI), which have significantly enhanced system automation and resource optimization in hybrid cloud infrastructures, leading to performance improvements of up to 45%.