Industrial Progress Research Articles

Study of Multiple Metal Resistant Citrobacter sp. Isolated From Industrial Effluent

The pollution of the environment with toxic heavy metals is spreading throughout the world along with industrial progress. Microbe related technologies may provide an alternative or addition to conventional method of metal removal or metal recovery. The present study deals with isolation, identification and characterization of heavy metal resistant bacteria from industrial effluent. a total58 isolates were screened for heavy metal resistant from industrial effluent. The GOZPRN isolate show multiple metal resistant and antibiotic resistances. On the basis of morphological, biochemical, partial 16S rRNA gene sequencing revealed that this isolates belongs to Citrobacter sp.. The isolate showed optimum growth at 30°C and pH 7.0. This isolate was found to be resistant to nickel (Ni), lead (Pb), zinc (Zn), Chromium (Cr). The minimal tolerance concentration (MTC) of this isolate against Cr, Ni, Pb, and Zn was 2.8 mM, 80 mM, 800 mM, and 500 mM respectively. It also exhibited resistance against tetracycline. This Citrobacter Sp. has potential to be useful for the bioremediation of heavy metals.

The Current Status and Development Trend of China and the United States Solar Photovoltaic Industry

With the development of the times, the global photovoltaic industry is on the rise, with China and the United States making more significant progress in the solar photovoltaic industry. So far, China has become the largest producer and application country of photovoltaic modules in the world. However, the first batch of solar panels in China entered its old age, and it is expected that the first batch will be retired by 2025, even though a large number of components have been replaced through technological upgrades. For the solar energy market in the United States, according to predictions, the proportion of renewable energy that can be produced in the country will triple between 2019 and 2050. However, expanding the proportion of renewable energy and bringing more effective energy is a huge challenge for both China and the United States. In this article, we will study and analyze the current and future trends of the solar energy industry in both countries.

The Impact of the High-speed Rail Industry and Its Possibility of Popularization-case of China

With the consensus and goals of reducing carbon emissions in various countries, energy transformation and sustainable development in various industry fields have attracted increasing attention, among which the transportation industry has great development potential. This article takes the case of the China high-speed rail industry's development to conduct research. Its advantages in using electricity as the main energy source have brought many positive impacts in China. China's case may be worthy of international popularization, thereby helping other regions achieve carbon emission reduction goals by combining various papers and data to examine the progress and effect of the high-speed railroad industry in China, as well as the main factors that had driven the improvement of the industry. Then analyze whether other regions could develop the industry from the potential condition to achieve the carbon emission goal, or even improve the regional economics. This study found that the early stages of industry construction were mainly promoted by policy promotion, and subsequent development relied on huge market demand to support development. The benefits of the high-speed rail industry are diverse, but it also involves certain risks, which reduces the possibility of its popularization.

MeSat Mission: Exploring Martian Environment with THz Radiometer Payload and Optimal Trajectory

Space exploration presents vast prospects for scientific, industrial, and economic progress. This paper introduces the MeSat mission as a pioneering approach to Mars exploration. The MeSat aims to deepen our understanding of Martian conditions and resources by employing an optimized Earth-to-Mars trajectory, enabling a comprehensive study of the Martian atmosphere and surface. The mission comprises a cargo microsatellite hosting three 6U CubeSats and two 3U CubeSats, deployed into four separate Mars orbits to form a constellation. Each CubeSat carries distinct payloads: a THz radiometer for Martian water vapor atmospheric observation, a high-resolution surface camera, a high-tech spectrometer, and a Fourier transform spectrometer (FTS) for wind speed readings. This paper includes the majority of the key parameters; however, we focus our discussion more on two aspects of this pioneering mission: the first aspect contains the proposal of four distinct payloads for the study of Mars’ atmosphere and the second aspect proposes an optimal mission design algorithm that analyzes a fuel-efficient low-thrust trajectory from Earth to Mars. Regarding the payloads, the THz radiometer requires a specific design; hence, we explain this payload in more depth; the rest of the payloads, we suggest utilizing commercially available elements for the cost-effective manufacture of a whole system. For mission trajectory optimization, the study employs a dual-step hybrid optimization algorithm (PSO-homotopy) to analyze fuel-efficient low-thrust trajectories from Earth to Mars, incorporating the ephemeris dynamics model to account for gravitational perturbations in the entire Solar System. In practical mission design, crucial factors like hyperbolic excess velocity, diverse opportunities for Earth launch and Mars rendezvous, varied propulsion systems, and time of flight (TOF) play vital roles in trajectory optimization. In summary, for the MeSat mission, we propose a comprehensive Mars environmental mission design. We consider all aspects of the mission from trajectory design to engineering detail design, since we would like to inspire future Mars missions with a complete report.

Self-generated oxygen radical species accelerate the alkaline oxygen-evolving reaction

The oxygen evolution reaction (OER) in electrochemical water electrolysis typically undergo high overpotentials and slow kinetics, greatly hindering the progress of the electrolytic water industry. Motivated by this, we successfully synthesized two types of NiCoFe/Fe1.63Ni1.82Co5.6S8 as OER catalysts (O-Cat-1 and O-Cat-2). As anticipated, the Ni/O-Cat-1/Ni electrode exhibits a lower overpotential (310 mV at 100 mA cm−2) and a smaller Tafel slope compared to Ni/O-Cat-2/Ni, along with a 10-day electrocatalytic lifespan. Specifically, during the stability test, the maximum driving current reaches 4.29 times the initial current. This increase can be attributed to the presence of self-generated oxygen radicals within the electrocatalytic system, as evidenced by the durability test conducted with the introduction of H2O2 into the electrolyte. These radicals may be induced by thermal effects, humid summer environments, or elevated O3 concentrations in the solution. Additionally, the formation of the metal oxides, hydroxides, and oxyhydroxides species on the electrode surface also enhances the OER efficiency. Substantially, the unveiling of the self-generated oxygen radical mechanism offers a novel pathway for developing a highly efficient electrocatalytic system for OER.

Cleaner reactive dyeing with the recycled dyeing wastewater

In order to recycle water and inorganic salts, sodium persulphate (SPS) was used to degrade the C.I. Reactive Red 195 (RR195) dyeing wastewater. The thermodynamic and kinetic relationships of RR195 dyeing in cleaner and conventional dyeing processes were analyzed and compared. The feasibility of the one-bath cyclic dyeing in the recycled dyeing wastewater was confirmed through the properties of dye utilization, color parameters and energy conservation. The appropriate conditions were 0.3 g/L of SPS and treatment at 95 °C for 30 min, which resulted in a decolorization rate of 99.7% for the dyeing wastewater, mainly due to the action of radical sulfate. When cotton fabric was dyed with the cleaner dyeing, the kinetic was pseudo-second-order and the thermodynamic was Freundlich adsorption. There was a 47.5% reduction in half dyeing time, a greater diffusion coefficient and standard affinity, and lower entropy and enthalpy values when dyeing in reused wastewater. Cotton fabrics were dyed with the proposed cleaner dyeing process, which reduced the amount of water and inorganic salt by 95.8% and 89.8%, respectively. The total organic carbon (TOC), biochemical oxygen demand (BOD5) and chemical oxygen demand (COD) were 53.6%, 69.8% and 42.6% lower than the conventional dyeing process, respectively. The recommended technology not only reduces the amount of dyeing wastewater but also enables the recycling of inorganic salts and water, which makes great progress in the textile industry.

The Impact of Digital Inclusive Finance on Household Consumption: Empirical Analysis Based on the Yangtze River Economic Belt

Improving residents' consumption level is one of the important goals of China's economic development, and digital inclusive finance, as the key work of financial development, has a non-negligible impact on residents' consumption. Based on the panel data of 11 provinces and cities in the Yangtze River Economic Belt from 2016 to 2022, this paper empirically analyzes the relationship between digital financial inclusion and household consumption by using the fixed-effect model and considering the endogenous problem. The findings are as follows: First, digital inclusive finance promotes the improvement of residents' consumption level, and this result is robust; Second, the mechanism analysis results show that digital inclusive finance can improve residents' consumption level through increasing residents' income, digital insurance and consumer credit. Thirdly, from the perspective of regional and urban-rural heterogeneity analysis, it is found that the promoting effect of digital inclusive finance on residents' consumption is more obvious in the middle reaches of the Yangtze River Economic Belt, while the promoting effect of digital inclusive finance on rural residents' consumption is more significant. Based on this, relevant policy recommendations are put forward, and the Yangtze River Economic Belt region should improve the relevant policies and regulations of digital inclusive finance, driving progress in the digital insurance industry, promote financial technology innovation and differentiated development of digital inclusive finance.

Study on the Influencing Factors of Regional Logistics on Regional Economy in Shanxi Province

With the acceleration of the pace of Belt and Road construction and the strategic deployment of the high-quality development of China's logistics service industry, the logistics industry has occupied an increasingly important position in the whole national economy and even the world economy. Shanxi Province is rich in coal resources and has a large demand for logistics and freight transportation. Therefore, the economic growth of Shanxi Province has put forward higher requirements for the development and progress of the logistics industry. In this situation and background, the development of regional logistics will be of great help to the progress and growth of the overall industrial economy in Shanxi Province. This paper takes the theory of modern logistics, regional economic growth and regional coordinated development as guidance, and discusses the coordinated development of logistics industry and economic sustainable development in Shanxi Province. Firstly, a series of theoretical analysis on the coordinated development of modern regional logistics, regional economy and the correlation between regional logistics and regional economy with the aid of data analysis software stata and the research results are summarized and summarized, trying to make some suggestions for the sustainable development of logistics and economy in Shanxi Province.

Constructing sustainable halal tourism composite performance index for the global halal tourism industry

ABSTRACT This study constructs a Sustainable Halal Tourism Composite Performance Index (SHTCPI) to evaluate the progress of the global halal tourism industry from a sustainable tourism perspective. To create the SHTCPI, this study uses four dimensions (environment, social, economic, and halal tourism) and 24 indicators covering the 2010 to 2020 period and 116 countries. The findings suggest that halal tourism is still in the development stage. Interestingly, most of the Muslim-majority countries are far behind the top score. The developed SHTCPI will guide policymakers and destination managers to formulate strategic policies for more sustainable halal tourism development.

Point-of-care testing: a critical analysis of the market and future trends

Point-of-care testing (POCT) involves conducting diagnostic tests outside the laboratory. These tests are utilized for their quick and reliable results in detecting chronic diseases and acute infections. We examined the historical market value trends of the POCT industry and projected its future growth. POCT devices offer several advantages, such as portability, no specific storage requirements, and simplicity of use. However, issues such as inaccurate results can reduce demand for POCT compared to traditional laboratory testing alternatives. While the benefits of POCT are clear, it’s important to acknowledge the challenges. The accuracy of POCT devices can be compromised due to factors such as user error, environmental conditions, and limitations in technology. Furthermore, the cost-effectiveness of these devices is often a concern, particularly in resource-limited settings. The regulatory landscape for POCT is also complex and varies by region, which can pose challenges for manufacturers and end-users. Improvements in POCT devices’ sensitivity, specificity, cost, and turnaround time for test results could enhance their utility. Enhancements to a POCT device should be considered if they are economically viable and lead to a significant increase in demand. Our financial analysis of the POCT market revealed a positive growth trend. We identified potential areas for growth that could help the industry progress and expand in line with its projected growth in the coming years. The industry could focus on integrating intelligent technologies into POCT devices and collaborating with the innovative technology sector to increase revenue. It could also develop more sensitive and accurate POCT devices for non-communicable diseases. Another potential area of growth is in diseases that require continuous patient monitoring but where conventional clinical testing is time-consuming. Enhancing the POCT devices used in these areas could revolutionize medical diagnosis and potentially save many lives, provided they meet clinical standards.

Pengaruh Limbah Mikroplastik Terhadap Organisme dan Upaya Penanganannya

In the midst of rapid industrial progress and global economic growth, the use of plastic has increased dramatically, causing serious environmental problems due to the accumulation of plastic waste. One of the most worrying aspects of this problem is the presence of microplastics, namely plastic particles less than five millimeters in size. The more accumulation of plastic waste found in the waters will cause damage to the surrounding water and sea environment, plastic waste that is not collected will be exposed to sunlight and exposure to air, the longer it will decompose into small particles called microplastics. In this research, the author researched using the library research method, namely by collecting and studying existing literature from various sources such as: journals, articles, books and others related to this research. Microplastics have spread widely in the environment, from oceans to land, and have had a serious impact on organisms and ecosystems throughout the world. The process by which microplastics are formed, their distribution in the environment, their impact on aquatic and terrestrial organisms, and their potential impact on human health are the main focus research and public attention. To overcome the microplastic problem, a holistic approach is needed that involves collaboration across sectors and scientific disciplines. Handling and mitigation efforts must cover various aspects, starting from regulating the use of single-use plastics, more effective management of plastic waste, developing technology for detecting and eliminating microplastics, to educating the public about the dangers of microplastics and the importance of environmentally friendly behavior. Concrete steps such as banning the use of single-use plastics, promoting recycling, innovation in product design, and cross-border cooperation in managing plastic waste are key in efforts to reduce the negative impact of microplastics. Only by taking these steps together can we create a cleaner, healthier and more sustainable environment for future generations.

A Review of the Impact of Starch on the Quality of Wheat-Based Noodles and Pasta: From the View of Starch Structural and Functional Properties and Interaction with Gluten.

Starch, as a primary component of wheat, plays a crucial role in determining the quality of noodles and pasta. A deep understanding of the impact of starch on the quality of noodles and pasta is fundamentally important for the industrial progression of these products. The starch structure exerts an influence on the quality of noodles and pasta by affecting its functional attributes and the interaction of starch-gluten proteins. The effects of starch structure (amylopectin structure, amylose content, granules size, damaged starch content) on the quality of noodles and pasta is discussed. The relationship between the functional properties of starch, particularly its swelling power and pasting properties, and the texture of noodles and pasta is discussed. It is important to note that the functional properties of starch can be modified during the processing of noodles and pasta, potentially impacting the quality of the end product, However, this aspect is often overlooked. Additionally, the interaction between starch and gluten is addressed in relation to its impact on the quality of noodles and pasta. Finally, the application of exogenous starch in improving the quality of noodles and pasta is highlighted.

Prediction of the Development of China's New Energy Industry

In the past decade, China's new energy vehicle industry has developed rapidly due to the influence of national policies. In recent years, China has started planning to cease policy support for the new energy vehicle industry. Therefore, predicting the future development of China's new energy industry is of great significance for policy-making in China. This paper selects 10 factors influencing the development of new energy electric vehicles in the past ten years and 4 indicators reflecting the development of new energy electric vehicles. We combine the Entropy Weight Method with TOPSIS to score the development status of new energy electric vehicles based on 4 indicators. Then, we use Principal Component Analysis to reduce the dimensionality of the ten influencing factors to three principal components. To quantify these effects, Lasso regression is performed using 3 principal components to prevent overfitting. Therefore, this article obtained a model for predicting the development status of China's new energy vehicle industry, with a goodness of fit of over 0.98, indicating a good fit of the model. In order to predict the development score for the next decade, this paper first predict the data of ten factors for the next decade. The factors that remain unchanged are not treated. Factors that change the trend significantly are predicted using GM (1,1) and the forecast is good. For stationary time series, this paper collects data from nearly 20 years and trains on Long Short-Term Memory Networks. R2 = 0.891 and RMSE < 0.1, Therefore, the model can be used to predict data for the next 10 years. After obtaining various data, this paper obtains the development score of new energy electric vehicles in the next 10 years according to the regression equation. Finally, this paper concludes that the development and progress of China's new energy industry will slow down in the next decade, with a score increase of about 20%.

The Transition of English Literature from the Nineteenth Century to the Twentieth Century: A Case Study of Bernard Shaw & H. G. Wells

The sincerity of literature as an expression of life is normal, as long as it expresses the human soul which is affected by external life. This is something that humans cannot escape from or stand in isolation of, but the responses differ according to different human natures, and the way each person receives and interacts with influences, but they all in the end echo the external life. European life in the late nineteenth and early twentieth centuries was the scene of violent intellectual movements, all of which tended to solve the social problems that had worsened at that time in human history, owing to the reaction of industrial progress in economy and society. It was natural for literature to enter the battle and be one of its effective weapons because writers could not be isolated in their ivory towers, far from the conflicting classes and the rapidly transforming situations, as if they did so, their readers would abandon them, in search of those who would talk about their pain and share their problems. Therefore, most of the literary productions of this time — all types of plays, novels, poetry, and essays — take social problems as their theme, and try in their own way to point out the means of treatment. Perhaps the most distinguished examples of this trend were Bernard Shaw, and H. G. Wells, whose production mainly depends on such topics. And if there are other writers and critics, we are just content with these two as they are sufficiently indicative in terms of providing an understanding of prospects and mechanism of the literature of that era.

Analyzing the nexus between Chinese industrial policy and cross-border M&As.

In recent years, as China experiences economic expansion and its corporations become more global, it has notably become a central hub for cross-border mergers and acquisitions (M&A) on the world stage. The Chinese government, in tandem, leverages these international M&A operations to drive industrial transformation and progress in technology. This research investigates the role of China's industrial policies in shaping cross-border M&A activities by examining recent instances. Findings indicate that relaxing financial barriers and applying specific industrial tactics bolster companies' abilities to secure funding, consequently energizing cross-border M&A initiatives. Several firms in these international mergers and acquisitions are intricately connected to political strategies, markedly affecting the formulation of industrial policies. This assertion is corroborated through the analysis of relevant statistical evidence. The study methodically collects and scrutinizes data to quantitatively depict the current landscape and influencing elements of cross-border M&A, thus providing concrete evidence for policy and business strategy formulation.

Development of green pesticides from traditional Chinese medicines based on artificial intelligence and compatibility of traditional Chinese medicines

The food security of China as a big agricultural country is attracting increasing attention. With the progress in the traditional Chinese medicine industry, Chinese medicinal materials and their preparations have been gradually developed as agents for disease prevention and with antimicrobial and insecticidal functions in agriculture. Promoting pesticide innovation by interdisciplinary integration has become the trend in pesticide research globally. Considering the increasingly important roles of green pesticides from traditional Chinese medicines and artificial intelligence in pest target prediction, this paper proposed an innovative green control strategy in line with the concepts of ecological sustainable development and food security protection. CiteSpace was used for visual analysis of the publications. The results showed that artificial intelligence had been extensively applied in the pesticide field in recent years. This paper explores the application and development of biopesticides for the first time, with focus on the plant-derived pesticides. The thought of traditional Chinese medicine compatibility can be employed to creat a new promosing field: pesticides from traditional Chinese medicine. Moreover, artificial intelligence can be employed to build the formulation system of pesticides from traditional Chinese medicines and the target prediction system of diseases and pests. This study provides new ideas for the future development and market application of biopesticides, aiming to provide more healthy and safe agricultural products for human beings, promote the innovation and development of green pesticides in China, and protect the sustainable development of the environment and ecosystem. This may be the research hotspot and competition point for the green development of the pesticide industry chain in the future.

Impact of natural resource dependence on green technology development: Role of digital governance in mitigating resource-curse using big data

The pursuit of a green economy as a strategy to counteract the “resource curse' phenomenon represents a burgeoning paradigm shift. A sophisticated digital governance infrastructure is vital, serving as an integral mechanism for ensuring transparency, enhancing data efficacy, and fostering public involvement—all crucial components of sustainable environmental stewardship. In light of this context, our analysis examines the interplay between natural resource dependence and green technological innovation, as well as delineating the potential pathways interlinking the two, through an empirical assessment using provincial data from China spanning the years 2011–2021. Employing advanced techniques in big data text mining, we have devised a government digital transformation index calibrated to elucidate the impacts of digitalization on the twin variables of natural resource reliance and the propagation of green technologies. Our findings indicate a marked deleterious influence of natural resource dependence on the evolution of green technological initiatives at the regional level, a trend most pronounced in China's central and western provinces as well as in locales with comparatively low economic development metrics. Furthermore, our research ascertains that the impeding force of natural resource dependence on green technology ascension is primarily exercised through diminished regional research and development capabilities, stagnation of industrial structure progression, and limited openness to external economic integration. Finally, the study posits that the implementation of digital governance measures holds the capability to substantially mitigate the restrictive impact of natural resource dependence on green technology advancement. This underscores the imperative for a digital governance architecture that actively neutralizes and meticulously monitors the adverse outcomes associated with resource consumption.

AN ANALYSIS OF EXIM STEEL TRADE IN INDIA

Metals have long been a driving force behind industrialisation. Steel has always held a leading position among metals. Steel production and consumption are commonly viewed as markers of economic success as a raw material and intermediate product. As a result, it is not an exaggeration to claim that the steel sector has always been at the forefront of industrial progress and is the foundation of any economy. The steel industry is the pulse of an economy, indicating the general direction of the economy. The industry primarily assesses a country's or regions economic success. This is due to its widespread application in a variety of end-user industries, notably infrastructure, which is a major steel consumer.

The release of ‘LCP 85‐384’ and its contribution to the Louisiana sugar industry

AbstractBasic breeding efforts initiated at the USDA‐ARS in Houma, LA, in the late 1950s allowed Louisiana sugarcane breeders, once again, to cross with the wild germplasm of cultivated sugarcane, Sacharum spontaneum. ‘LCP 85‐384’ was the first success story from this effort and was quickly adopted by growers. It became clear that the cultivar would prove to be substantially impactful to the Louisiana sugar industry. Performing at unprecedented yields in ratoon crops, LCP 85‐384 changed how Louisiana growers would manage their crops. The variety proved to possess traits that fared well in the subtropical production zones of the state. Substantial stalk populations seemed to play a vital role in the necessary ratoon ability and consequent cold tolerance necessary for production in Louisiana. After significant disease pressure, the variety quickly declined in production acreage, but not in impact. It continued to provide sustained progress as a parent for years, contributing to most modern commercial cultivars in Louisiana. Today, LCP 85‐384 and its progeny are used in breeding and genetic research to usher in the next era of progress in the Louisiana sugar industry. Meanwhile, through cooperative efforts of breeding programs around the world, it is making its mark on the sugarcane industries of Argentina in much the same way as it did in Louisiana. In the future, it is expected that the progress made in the breeding program will continue by building upon the gains achieved from LCP 85‐384 and its progeny for the sustained success of the Louisiana sugarcane industry.

Chatter detection in simulated machining data: a simple refined approach to vibration data

Vibration monitoring is a critical aspect of assessing the health and performance of machinery and industrial processes. This study explores the application of machine learning techniques, specifically the Random Forest (RF) classification model, to predict and classify chatter—a detrimental self-excited vibration phenomenon—during machining operations. While sophisticated methods have been employed to address chatter, this research investigates the efficacy of a novel approach to an RF model. The study leverages simulated vibration data, bypassing resource-intensive real-world data collection, to develop a versatile chatter detection model applicable across diverse machining configurations. The feature extraction process combines time-series features and Fast Fourier Transform (FFT) data features, streamlining the model while addressing challenges posed by feature selection. By focusing on the RF model’s simplicity and efficiency, this research advances chatter detection techniques, offering a practical tool with improved generalizability, computational efficiency, and ease of interpretation. The study demonstrates that innovation can reside in simplicity, opening avenues for wider applicability and accelerated progress in the machining industry.