Industrial Strength Research Articles

Copper Recovery from Aqueous Solutions by Hemp Shives: Adsorption Studies and Modeling

This article describes the performance of hemp shives, a co-product of the hemp industry, when used as an adsorbent to recover copper present in aqueous solutions by a batch method. Two materials provided by an industrial partner, namely water-washed hemp shives (SHI-W) and Na2CO3-activated shives (SHI-C), were studied. Two important variables in the water treatment industry, i.e., pH and ionic strength of the solution, were studied to evaluate their impact on the purification performance of the materials. The results obtained clearly indicated that the performance in terms of Cu removal obtained from the SHI-C material was significantly higher than that obtained with SHI-W, mainly due to the structural and chemical modifications after carbonate treatment. For each dose of this adsorbent, a percentage of recovery between 90 and 100% was achieved, independently of the pH value in the range 3–5. In the case of SHI-W, the highest values were between 60 and 75% and were both dependent on the pH and the dose used. SHI-C was also able to selectively remove 70% of copper in the presence of NaCl 1 M. The analysis of the isotherms indicated the presence of a complex adsorption mechanism that cannot be described by only one isotherm model.

Investment Bank, Financial Performance, Economic growth and Development: An Empirical Analysis of Investment Banking Activities and Financial Market in an emerging Economy: A case study of Nigeria

The investment bank's performance was researched and critically analysed, and how such performance might contribute to economic growth notably in Nigeria. This study is unique in the Nigerian financial market since it empirically studied connected characteristics that potentially impact investment bank performance in Nigeria. This study spanned the years 1996 through 2022. The period was marked by a credit boom, a financial recession, a rebound, and strong economic expansion. Because of the nature of the study topics, a quantitative approach was taken. The study discovered that bank-specific characteristics, industry-specific factors, macroeconomic drivers, and institutional factors are relevant in evaluating the performance of Nigerian investment banks. That is, a critical examination of the performance of Nigerian investment banks is centred on bank-specific characteristics. This suggests that the capacity of investment banks to fulfil their essential functions is determined by internal factors such as capital, credit risk, operating expenditures, and size. Additionally, the industry strength demonstrated that the financial market's depth had an influence on investment banks. The significance of competitiveness was underlined. Macroeconomic factors such as GDP growth, interest rates, inflation rates, and oil prices shown that a strong macroeconomic environment is required for vibrant investment banks. Lastly, institutional variables such as a developed insurance industry, political stability, the rule of law, and effective government policies can all have an impact on the success of Nigerian investment banks. The research recommended that, in order to significantly improve the performance of investment banks in Nigeria, the following strategies be pursued aggressively: cost reduction strategy, cultural transformation, adopting a customer-centric approach to business, technological development, financial depth development, and development of a sustainable investment bank framework. This study believes that if the recommendations are adopted, investment banks' profits would improve, allowing them to execute their core functions and contribute to the growth of the economy, particularly in a rising economy like Nigeria. &nbsp

Study on the synergistic effect of industrial structure differentiation of urban agglomeration in the Greater Bay Area

In order to promote the overall development of the Greater Bay Area, it is important to optimize the regional development plan, reduce the differences in the industrial structure of the Greater Bay Area urban agglomeration, promote the coordinated development of the industrial structure of this area and improve scientific & technological innovation of the Greater Bay Area. There are many advantages in the development of the urban agglomeration of Guangdong-Hong Kong-Macao Greater Bay Area, but there are also some obstacles, such as the serious differentiation of industrial structure, the adverse factors affecting economic development under the framework of "one country, two systems", and the development limitations of the unique system of "three currencies, three legal frameworks, three customs territories and four core cities", which all affect the progress of the economy of the Greater Bay Area to a great extent. Therefore, it is necessary to take advantages of the industrial strengths of the Greater Bay Area urban agglomeration, strengthen the economic interconnection between cities and improve the industrial structure coordination, so as to promote the development and construction of Guangdong-Hong Kong-Macao Greater Bay Area and form the development configuration of economic integration.

Coordinated Development of the Marine Environment and the Marine Fishery Economy in China, 2011–2020

The marine environment is the material basis for the survival and development of fishery resources, and changes in the marine environment affect the fishery economy. Therefore, against the background of sustainability and environmental uncertainty, it is important to investigate the development of the marine environment and the marine fishery economy to improve the quality of both. Taking the panel data for 11 coastal cities in China from 2011 to 2020, we use several methods, including the entropy method, a coupling harmonious degree model, and a Tobit model, to measure the marine-environment quality and marine-fishery-economy quality, their coordination, and the factors affecting that coordination. We find that (1) the marine-environment quality and marine-fishery economy quality show a significant upward trend over time, but they are spatially unbalanced, with obvious interprovincial differences. (2) Coordination between the marine-environment quality and marine-fishery-economy quality has risen steadily, but the level of coordination is still low, remaining at the primary level in most areas. (3) The important factors affecting coordination between the marine-environment quality and marine-fishery-economy quality include the strength of the marine fishery industry, scale of the marine fishery economy, production capacity of marine fisheries, marine-environment quality, and quality of the marine environment and its resources. In light of these findings, we should increase the coordination between the marine-environment quality and marine-fishery-economy quality by upgrading the marine fishery industry, modernizing marine fisheries, linking the environmental governance of marine and land areas, and strengthening the ecological construction of the marine environment.

THE INFLUENCE OF LEADERSHIP ON LPD GROWTH WITH CULTURE AS A CODING VARIABLE

This study aims to determine the influence of leadership on the growth of Village Credit Institutions (LPD) in Bali and whether the Tri Hita Karana (THK) culture can moderate these influences. The leadership variables adopt eight leadership traits of Asta Brata which include: Indra Brata, Yama Brata, Surya Brata, Candra Brata, Vayu Brata, Bhumi Brata, Varuna Brata and Kwera Brata. Tri Hita Karana culture adopts a philosophy that includes Parhyangan, Pawongan and Palemahan. LPD growth adopts M. Porter's industrial growth strength model which includes: threat of new entrants, supply strength of suppliers, supply strength of buyers, threat of substitution products, and competition. Data collection uses questionnaire techniques and is analyzed with regression analysis and moderator regression analysis. The results of the data analysis show that leadership has a positive and significant effect on LPD growth, and THK culture strengthens the influence of leadership on LPD growth in Bali.

Relevance of middle-income trap (MIT) to the vision-based development in Bangladesh

PurposeThis study aims to investigate whether Bangladesh would avoid the middle-income trap (MIT) in its transition to a high-income country (HIC) according to its “Vision 2041”.Design/methodology/approachUsing both actual and forecasted secondary data, three MIT models of different approaches were used to evaluate the government’s vision-based projections. Moreover, crucial indicators of deindustrialization and institutional strength were linked to the investigation of potential transitions.FindingsAccording to the absolute definition and international forecasts, the Bangladesh economy might not fall into an MIT at its lower-middle-income level within the intended period due to being shorter than the defined limit. However, its real GDP per capita relative to the USA would remain far below the defined threshold limit of an upper-middle-income country (UMC) in 2041. Meanwhile, Bangladesh has reached the third of the five gradual phases and is awaiting a new transition in 2029. However, its vision-based plan would face challenges such as skills gaps, institutional reforms and successive global crises.Practical implicationsBangladesh might be trapped in MIT at the UMC level in the 2030s, with no path to renovate after the demographic dividend ends in 2047. In this regard, the government must demonstrate a strong political will to ensure the effectiveness of its policies and the viability of its institutions.Originality/valueThis study not only compared projections to forecasts using different MIT models but also connected transition phases to industrial policies and institutional strengths.

Comparison of Competitiveness of the Textile Industry between China and the World’s Three Major Textile Centers

From the results of China's "13th Five-Year Plan". Scientific and technological innovation has achieved remarkable results, and the textile industry has achieved the development of the entire industrial chain. Therefore, this article analyzed the international competitiveness of China's textile industry by comparing China's textile industry with the countries related to the world's three major textile centers. Firstly, based on the niche theory and the Michael Porter Diamon model, an evaluation index system for the textile industry niche was constructed. For countries, related to the three major centers of the textile industry, analyzed the relative niche and comprehensive niche scores of each dimension from 2016 to 2019. The world textile industry was measured according to the niche theory. The Vulnerability Index was calculated from normalized data. The aim was to explore the competitiveness of the textile industry in various countries as well as the future development potential and trends. According to the research results, the textile industry competitiveness of the 10 countries was divided into three levels. The first level was China, the second level was the United States, and India and the remaining seven countries were at the third level. The results showed that as of 2019, the comprehensive competitiveness of my country's textile industry was far ahead of other countries, and development potential and trends were better than in other countries in the future. However, at the same time, to further improve the international competitiveness and comprehensive strength of the textile industry, there was also necessary to pay attention to the coordinated development of social and government support.

FabricFL: Blockchain-in-the-Loop Federated Learning for Trusted Decentralized Systems

Federated learning (FL) enables collaborative training of machine learning (ML) models while preserving user data privacy. Existing FL approaches can potentially facilitate collaborative ML, but ensuring secure trading/sharing of training data is challenging in practice, particularly in the presence of adversarial FL clients. The ongoing security concerns around FL and strict laws on personally identifiable information necessitate the design of a robust and trusted FL framework, for example, using blockchain. Existing blockchain-based solutions are generally not of industrial strength, where limitations include scalability and lack of engagement by participating clients. In this article, blockchain-in-the-loop FL is our proposed approach of intertwining classic FL and Hyperledger Fabric with a gamification component. Our proposed approach is a fusion of secure application integrated to seal and sign-off asynchronous and synchronous collaborative tasks of FL. The enterprise-level blockchain network provides an immutable ledger that can be leveraged at different FL layers to ensure auditable tracing and level-up security in industrial settings. We evaluate our proposed approach with three different datasets to demonstrate the security enhancements that improve the FL process, resulting in a more accurate global ML model to converge with the possible best performance.

ANALISIS FUNDAMENTAL SAHAM PT INDUSTRI JAMU DAN FARMASI SIDO MUNCUL TBK (SIDO)

Fundamental analysis is carried out through the Top Down Analysis approach. This analysis is carried out sequentially starting from assessing the overall state of the economy, industry strength and company performance. Macroeconomic analysis is carried out by assessing the overall economic condition of a country such as GDP, interest rates, and exchange rates. Industry analysis assesses potential developments in industries related to companies, while company analysis uses financial ratio analysis which includes liquidity ratios, activity ratios, profitability ratios, solvency ratios, and market value. Macroeconomic analysis shows that there is an increase in GDP growth, a decrease in the BI-rate, and a depreciating rupiah exchange rate. The pharmaceutical industry in Indonesia has great opportunities when it comes to Indonesia's demographic conditions. Assessment of the company's financial performance results that the liquidity ratio has a value above the standard, which means the company has sufficient current assets to pay off its short-term obligations. The activity ratio based on the calculation results has a low inventory turnover. The profitability ratio has an increasing value which means the company is able to manage assets properly to earn a profit. The solvency ratio shows that the company is able to pay its long-term debt. Overall, in terms of market value, some ratios are good, but there is a decrease in dividend payments when viewed from dividend per share. However, this decline is not always bad because from the company's management point of view, a growing company will hold its profits to support future growth. The company reinvests its profits into the company so that the share price increases.

Analysis and Prediction of Influence Factors of Green Computing on Carbon Cycle Process in Smart City.

Global warming has become the focus of attention of the international community, and the control of carbon dioxide emissions has become one of the necessary choices for the development strategies of countries around the world. Cities are places where carbon dioxide emissions are concentrated. The key to controlling carbon emissions is to control the carbon emissions of cities. My country is currently in the process of rapid urbanization. Quantitative studies of the carbon cycle at the city level will help to take stock of carbon dioxide emissions in cities. On the other hand, it is helpful to understand the status and role of the urban carbon cycle in the process of the regional carbon cycle. Through the analysis and prediction of the elements influencing the carbon cycle of smart cities, this paper first determines the factors affecting smart cities in the carbon cycle process as industrial carbon emission strength factors, industrial structure effects, economic development factors, and population elements. It is found that the major positive factors affecting the significant add of CO2 emissions in smart cities from 2010 to 2019 are economic development factors and demographic factors, including economic development factors GDP/per capita GDP. The per capita contribution to CO2 emissions is higher than the model established by adjusting the affecting elements of overall CO2 emissions, except that the proportion of economic development factors in total CO2 emissions from 2013 to 2015 was lower than the increase in total CO2 emissions. The comparison can better reflect the relation between CO2 emissions and influencing elements. The main determinants affecting CO2 emissions are the expansion of the financial condition, the increase in the average daily population, and the increase in construction work. The adaptation index is judged to be consistent, indicating that the model adjustment effect is good; finally, the green computing in the smart city predicts the carbon cycle process, and the actual value trend line and the predicted value trend line are not much different from the practical value, the forecast error is small, and the prediction results are credible. Global warming has become the focus of attention of the international community, and carbon emission control has become one of the necessary options in the development strategies of countries around the world. Cities are the places where carbon emissions are concentrated. The key to controlling carbon emissions is to control urban carbon emissions. At present, my country is in the process of rapid urbanization. Quantitative research on the carbon cycle at the city level will help to establish an inventory accounting of urban carbon emissions. On the other hand, it is convenient to deeply understand the status and role of the urban carbon cycle in the process of the regional carbon cycle.

A Review on Development and Application of Industrial Robot

Stability, efficiency and practicality are important characteristics of industrial robots. This also enables it to well assist human beings in carrying out various complex, tedious and dangerous processes. Nowadays, with the changing international situation, the advanced level of industrial robot technology has increasingly become the standard to distinguish the industrial strength gap between big countries. Therefore, it is necessary to analyze the development and application of industrial robots in detail. This paper first summarizes the development status of industrial robots at home and abroad, and introduces the typical applications of industrial robots in different industries. Finally, it makes a prospect for the development of domestic industrial robots.

Sentiment Analysis of Animated Film Reviews Using Intelligent Machine Learning.

Film is an essential expression of a country's cultural soft power in terms of cross-cultural exchange. In addition, film is also the most direct and favourable means of communication. Along with the expansion and development of the Chinese film market, outstanding animation films have emerged in recent years. Animated films have both artistic and commercial properties and can not only have a cultural impact but can also contribute to economic growth. For this reason, our country is now paying more and more attention to the development of animated films. Specifically, animated films not only represent a country's cultural soft power and national image, but they are also a symbol of the strength of a country's cultural industry. As a reflection and extension of China's culture and ideology, animated films play an important role in enhancing cultural confidence and cultural export. In recent years, China's economy has shown a steady and sustained growth trend. At the same time, with the rapid development of internet technology, social networking has gradually penetrated into all aspects of people's lives. Various social networking forums, websites, and sites have emerged. While satisfying a wide range of needs, they also provide information on product reviews, social reviews, and service reviews. These reviews contain feedback from the reviewer about the subject of the review. Tapping into the emotions in these reviews can provide consumers with shopping references and help businesses to optimise their products and improve their business strategies. With the help of modern internet technology and information technology, the modern movie industry, such as Cat's Eye Movies and other internet entertainment service platforms, has developed a model of online ticketing, offline movie viewing, and online reviews and feedback. The content of the reviews on these movie websites fully reflects the attitudinal views of the movie-going community. These reviews play a decisive role in the box office and the further spread of culture. As a result, in order to better understand the audience's emotional tendencies and needs, it is necessary to carry out sentiment analysis and deep semantic mining of animated film reviews. As the evaluation of film works considers many factors and is complex and variable, the choice of model is crucial in the process of sentiment analysis. Machine learning models represented by deep neural networks are more tolerant of sentence noise and have strong information discrimination and feature self-learning capabilities. As a result, intelligent machine learning is more advantageous for sentiment classification tasks. This study is a combination of textual data mining and statistical analysis from the perspective of viewers' comments to study the online reviews of animation films from different countries. At the same time, this research hopes to uncover meaningful information from the film reviews and the gap between Chinese and other countries' animation films, in order to provide a little help for the rise of domestic animation films.

Understanding the Political Organization and Tactics of the Alcohol Industry in Ireland 2009–2018

This study examines how the alcohol industry responded to developments in Irish alcohol policy leading to the 2018 Public Health (Alcohol) Act, a set of measures designed to reduce overall alcohol consumption in order to reduce harm to health and society. Previous research has emphasized the political and economic strengths of the alcohol industry in Ireland and elsewhere. This study examines the origins of and the debates over this legislation to better understand the political tactics of the alcohol industry. The study focuses on developments between 2009 and 2018, tracing activities by industry actors to shape the policy process at different junctures. Data for the study are drawn from 18 semi-structured interviews with politicians, government advisors, public health experts, and advocates as well as from relevant primary documents, public statements, and newspaper articles. The study identifies three interrelated tactics used by alcohol industry actors--obstruction through participation, coalition-building and mobilizing proxies, and making use of extensive political resources in lobbying--and traces their impacts at different points in the policy process. We find that industry actors had some success in influencing policy, defeating particular provisions by averting their inclusion, and winning amendments to others, but ultimately failed to defeat the legislation. Specific opportunities and constraints present in the Irish context for alcohol industry actors are identified. Public health considerations withstood a range of challenges from alcohol industry interests in passing public health legislation in Ireland. The findings have important implications for the study of the alcohol industry's political tactics in Ireland and elsewhere, including the use of lobbying registry data as a potential data source.

Biophilic Design Approach in Yogyakarta Digital Art Design

The creative industry based on digital technology is the current strength of the creative industry in improving the national economy. In creating a national creative industry, every region in Indonesia is required to create space for creative industry players. The Digital Art Center is a building typology that can accommodate digital creative industry players to carry out all their activities. In the midst of the significant development of the creative industry, a healthy psychological and physical condition is needed to increase the creativity and productivity of industry players. Biophilic Design can help humans achieve prosperity and comfort, as well as increase creativity and productivity of creative industry players by shaping the built environment by creating human interaction with the surrounding natural elements. In addition, creating a space for interaction between humans can increase the sense of kinship and shape the user's psychology to be more positive. Thus, the design of the Yogyakarta Digital Art Center is expected to create human interaction with nature and human interaction that can increase the productivity and creativity of its users.

A Study on Global EV shift and the Strategy of Japanese Automobile Industry

Purpose: The influence of EV shift spreading around the world on Japanese automobile industry due to CASE technical innovation and environmental regulation is examined in this study. In the past, the background of high international competitiveness of Japanese automobile companies has been supported by high technology in Hybrid Vehicle (HV) in addition to highly accumulated technology in the internal combustion engine. However, considerable change and supply chain reorganization is expected in the Japanese automobile industry because CASE and EV shift spreads rapidly. The expansion factor of global EV market, current status of Japanese EV market, the reason to hesitate in EV shift, the strategy of Japanese automobile companies, and the assignment of Japanese automobile industry according to EV shift are analyzed and examined in this study. Research design, data, and methodology: This study is based on the literature research, expert interview and the data published by each company. A survey on EV market which is expanding due to global CASE and environmental regulation was conducted through the literature research. And then, a research on the strategy of Japanese automobile company for EV shift was conducted through an interview with a supply chain official along with a university researcher in Aichi Prefecture where Toyota Motor Corporation is located. A result discovering the characteristic of EV strategy on each company has been achieved. Results: At this moment, the EV market in Japan is very small. Expensive vehicle price, inconvenience of charging and mileage problem, etc. are mentioned as the cause of it. Accordingly, Japanese automobile companies have been pursued the global product strategy centered on the HV. HV has been recognized as an eco-friendly vehicle prior to moving to future FCV and EV. The time Japanese automobile companies announced their EV strategy was Year 2021. However, the strategy of each company is very much different. Toyota is pursing an all round strategy which plans bold investment in PHV, FCV, etc. in addition to EV. Nissan is devoting all their energy to develop all-solid-state battery expanding global EV market based on the result which they early focused on EV. At this moment, Nissan is considered as most advanced in the development of all-solid-state battery in Japan. Honda is concentrating on the development of EV and FCV cooperating with GM in US. Implications: EV has a simple structure unlike traditional gasoline and diesel vehicles. Therefore, the expansion of EV is expected to give inevitable significant influence on the Japanese automobile industry. First, huge EV development and production facility reorganization will cause huge amount of cost. As a next, it is expected the industrial structure to be reorganized with the bankruptcy of existing companies and the entry of new companies based on the reorganization of the supply chain due to the decrease in the number of parts. Accordingly, employment problem also will be emerged seriously. Finally, the change in the Japanese automobile industry will be an important subject for research in the future because it is expected there also will be change in traditional Sryawase type Monozukuri method which has been evaluated as a strength of Japanese manufacturing industry.

파시즘의 로마 이미지와 로마관, 로마성(Romanità) - 그 기원과 변천

Since the Italian consciousness of nationhood was born, Rome had been regarded as the spiritual epicentre of the nation by many patriots and intellectuals. Rome’s symbolism of universality appealed as the incarnation of the nation’s unifying force and the nation’s pride in its glorious Roman past nourished optimism to make the country prosperous, and great again. However, there were also negative receptions of Rome among Italians. For many, Rome seemed as an obstacle to the country’s modernization: the city seriously lacked the tradition of municipal autonomy and industrial strength for centuries. In Liberal Italy, this negative perception of Rome was used as a symbol of impotence and failure by critics of the country’s inert ruling class.BRFascism’s concept of Romanità was formed under the influence of these two contradictory myths of Rome in the Risorgimento and Liberal Italy. Fascists worshiped the ancient Rome as the quintessence of Italianness and at the same time expressed their hatred of the city as an epitome of the corrupt bourgeois liberalism.BRBy analysing the Fascist historical discourse of Rome from various sources, this paper demonstrates how Fascism inherited conventional images, symbolisms and perceptions of Rome in the existing Italian cultural tradition and reorganized, transformed and distorted them to create its own interpretation of Romanità which in the end served (or expected to serve) to justify the regime’s political and ideological aims.

Development Plan of Unmanned System and Development Status of UUV Technology in Foreign Countries

The future battlefield will be unmanned combat as the leading role, and the unmanned underwater vehicle (UUV) will play an important role in the future underwater battlefield. In order to maintain its maritime strategic advantages, the U. S. military has formulated a long-term development plan for the unmanned aerial vehicle (UAS) in recent years. The technology of unmanned underwater vehicles (UUV), which is characterized by strong endurance, high mobility, and high covert attack, has become the future development trend. In addition, Russia, with its strong industrial foundation and technical strength, has introduced its latest development status. At last, the latest research results of the new concept of surface/underwater cross-medium submarine were introduced. The results show that the new intelligent cross-medium submarine will become the mainstream of future development. The research provides a reference for the development of unmanned equipment in China.

Application of supply chains management in construction project: a review in the compatibility between the procurements and implementation process

In response to rising public demand for corporate, industrial, and private expansion, as well as low- cost residential construction, Turkey's development sector has burst in recent decades, and the Turkish government has placed a significant focus on industry. As a result, a methodical approach is required to cut down on money, time and waste. In the building business, dealing with the problem appears to be critical. It is debatable whether Supply Chain Management), a concept that first appeared and progressed in the automobile manufacturing industry, where it has found success, is one of the reliable practices that could primarily be the remedy for the construction industry's dispute, time, and cost excess. According to the construction sector, supply chain management has a lot of promise for increasing project productivity. This method, however, has not been effective in many nations, notably in Turkey. The major purpose of this study is to evaluate and examine the SCM implementation process in the Turkish construction sector based on previous studies, with an emphasis on efficient building procurement and supply. This will be accomplished by a rigorous literature analysis that will distinguish the industry's flaws and strengths. The benefits of SCM application in the construction sector, hurdles to successful SCM implementation in the purchase and delivery of building materials, and elements that reinforce the implementation will all be part of our study's model framework.

To Analyze the Relationship Between Strength, Weakness, Opportunities, and Threats of Indian Coal Mining Industries Towards Sustainable Development

Mining Industries are a significant contributor to the economic growth of countries. Mining industries provide basic raw materials to all the manufacturing industries, whether their poor environmental image. However, over the last three decades, the mining and mineral industries adopted environmental management practices toward environmental protection and responsiveness of societal pressure. To overcome challenges to implement green practices in Indian Coal Mining Industries, analyze Strength, Weakness, Opportunities and Threat (SWOT) existence in industries. Addition of this work fuzzy decision-making trial and evaluation laboratory (DEMATEL) method is used to determine the relationship between SWOT factors which help develop better strategies to overcome environmental as well as economic issues.

.i – A Complexity Theory based Platform for Model based System Engineering

Complexity Theory and Complex Adaptive Systems is fast emerging as optimal and efficient design alternative many of the existing technologies to address various functional anon-functional criterion. However, it remains predominantly laboratory resident software. One of the main obstacles to convert it into mainstream is its abstract terminology and black box “emergent” philosophy. In this paper an attempt is made to create a platform on the core foundation of cognitive agent and complex world concepts. The platform can be used to develop industry strength products incorporating complexity theory principles.