Global Industry Research Articles

A smartphone-based diagnostic analyzer for point-of-care milk somatic cell counting

BackgroundMastitis, a pervasive and detrimental disease in dairy farming, poses a significant challenge to the global dairy industry. Monitoring the milk somatic cell count (SCC) is vital for assessing the incidence of mastitis and the quality of raw cow's milk. However, existing SCC detection methods typically require large-scale instruments and specialized operators, limiting their application in resource-constrained settings such as dairy farms and small-scale labs. To address these limitations, this study introduces a novel, smartphone-based, on-site SCC testing method that leverages smartphone capabilities for milk somatic cell identification and enumeration, offering a portable and user-friendly testing platform. ResultsThe central findings of our study demonstrate the effectiveness of the proposed method for counting milk somatic cells. Its on-site applicability, facilitated by the microfluidic chip, optical system, and smartphone integration, heralds a paradigm shift in point-of-care testing (POCT) for dairy farms and smaller laboratories. This approach bypasses complex processing and presents a user-friendly solution for real-time SCC monitoring in resource-limited settings. This device boasts several unique features: small size, low cost (<$1,000 total manufacturing cost and <$1 per test), and high accuracy. Remarkably, it delivers test results within just 2 min. Actual-sample testing confirmed its consistency with results from the commercial Bentley FTS/FCM cytometer, affirming the reliability of the proposed method. Overall, these results underscore the potential for transformative change in dairy farm management and laboratory testing practices. SignificanceIn summary, this study concludes that the proposed smartphone-based method significantly contributes to the accessibility and ease of SCC testing in resource-limited environments. By fostering the use of POCT technology in food safety control, particularly in the dairy industry, this innovative approach has the potential to revolutionize the monitoring and management of mastitis, ultimately benefiting the global dairy sector.

A Consideration of Whole-Life Carbon Emissions by Indiana Manufacturers in Efforts to Gauge Lifecycle Sustainability Records in the Multinational Automobile Industry

Purpose: The Ricardo Report (2020) recommends a holistic analysis of the effects of the global auto industry on sustainability by assessing the impacts of automobiles on the environment throughout their lifecycle. Much of the literature on sustainability in the transportation sector focuses on vehicle exhaust emissions and their contribution to urban smog, and there has been little consideration of emissions produced during the automobile manufacturing process itself. &#x0D; Materials and Methods: This study builds on the lifecycle emissions approach recommended by the Ricardo Report. Specifically, data on the pounds of pollution emitted was collected from the Toxic Release Inventory report of major multinational automobile producers and analyzed via piecewise linear regression analyses to provide insight about the pollution emitted during a vehicle’s production. &#x0D; Findings: The findings in this study will fill a gap in Ricardo’s “birth to grave” proposal to quantify whole-life carbon emissions in the automobile sector.&#x0D; Unique Contribution to Theory, Practice and Policy: As sustainability efforts within the automotive market continues to evolve, it is important to analyze automobile whole-life carbon emissions rather than just what is emitted from the tailpipe, and this study fills a gap in the Ricardo Report by providing data related to the rates of pollution emitted during the manufacture of vehicles at multinational automobile factories in America.

Factors affecting labor productivity in the global construction industry: a critical review, classification and ranking

The construction industry plays a fundamental role in economic development and job creation, but it faces challenges of labor productivity that have been exacerbated due to the recent COVID-19 pandemic. Labor productivity is a critical component of success, as it influences the duration, costs, and efficiency ofprojects. Understanding the nature of factors affecting labor productivity is essential to finding solutions. This study examined the literature to identify key factors influencing labor productivity, departing from conventional analytical approaches. Through mixed-methods analysis, qualitative approaches of systematic reviews identified influential factors based on 97 documents.Subsequently, they were classified using a combination of statistical analysis and hierarchical clustering methods that encompassed both internal and external factors. The Importance Value Index allowed for the classification of the 30 most critical factors, analyzing three possible ranking scenarios. The study found that the interest in researching the topic remains relevant and has evolved over time. In recent years, greater attention has been paid to labor, management, work environment, and technical aspects. The results indicate that internal project factors, such as scheduling, planning, technical considerations, and resourcemanagement, are more predictable and controllable than external factors. Effective resource management and a comprehensive approach are essential for optimizing construction productivity. Project-level factors, as well as materials, tools, and equipment, play an important role. By synthesizing existing knowledge and identifying and classifying key productivity factors, this study offers valuable insights to construction professionals, policymakers, and researchers seeking to improve labor productivity and optimize project outcomes.

Report covers current and emerging trends for seals used in aircraft engines

A report that focuses on the market for seals that are used in aircraft engines has been published by Stratview Research. It provides analysis of the global and regional industry forecast, current and emerging trends, segment analysis and competitive landscape.

Selective extraction of potassium from raw nepheline materials

The global aluminium industry is ever-changing and primarily relies on bauxite as its traditional source. However, due to the finite reserves of processed bauxite, alternative sources need to be found. Nephelines have emerged as potential alumina sources. In addition to alumina, nepheline processing can yield marketable products such as soda, potash, cement, and rare metals.The objective of this study was to identify the ideal conditions for selectively extracting potassium from alkaline leaching solutions while separating it from sodium alkali, aluminium, and silicon during the comprehensive processing of nepheline syenites from the Kubasadyr deposit. This approach involved a two-stage hydrothermal leaching process with an incremental calcium addition. Under optimal conditions, the potassium extraction in the alkaline solution reached 93.91 %. The resulting leaching solution served as a feedstock for potassium sulfate production through the crystallization method. The preliminary selective separation of potassium played a crucial role in mitigating its adverse effects on the extraction of aluminium, which is the primary processed product; thus, the economic viability of production was enhanced.

Life cycle assessment and product carbon footprint for SHG zinc production

The industry’s environmental impact has moved into focus at global level. Regulators, supply chains, and the financial sector need credible, standardized, and transparent information for multiple reasons. These include regulatory targets for limiting emissions, downstream user optimizations, and developing science-based emission reduction strategies. By characterizing environmental impacts, companies can satisfy stakeholder demands and measure progress towards goals. In this paper, an introduction to life cycle assessment (LCA) for reporting on environmental impacts, including the product carbon footprint as global warming potential is given. Average results from the most recent global LCA update for special high-grade zinc production are summarized. Resulting carbon footprint information is then used to derive the zinc industry’s baseline carbon footprint as the starting point for the decarbonization roadmap for the global zinc industry.

Anti-Corruption Efforts in the Healthcare Sector During the Covid-19 Pandemic in Malaysia

The Covid-19 pandemic has had an irreversible impact on the global economy and industries, particularly in the healthcare sector. The rush to respond to the pandemic, particularly in terms of getting treatment and vaccines and technology to market, has created a huge opportunity for undisclosed corruption and misconduct in the research and development and procurement processes. Effectively responding to current and future global health corruption threats is critical if the world is to provide health care to all. Due to a lack of research in preventive corruption measures in the healthcare industry, this paper aims to provide an overview of anti-corruption efforts among healthcare companies listed on the main board of Bursa Malaysia. The disclosure index is made up of 47 items derived from a review of previous literature and the Malaysian Anti-Corruption Act. The content analysis research method is used to analyze information from 13 companies listed in 2020’s anti-corruption policies and procedures published on their website, board charter, whistleblowing policy, code of ethics and conduct, annual report, sustainability report, and corporate governance report. According to the findings, Malaysia’s healthcare industry has demonstrated a strong commitment to fighting corruption, with 76.9% of companies scoring higher than average on the disclosure index.

PDCD4 restricts PRRSV replication in an eIF4A-dependent manner and is antagonized by the viral nonstructural protein 9.

As obligate parasites, viruses have evolved multiple strategies to evade the host immune defense. Manipulation of the host proteasome system to degrade specific detrimental factors is a common viral countermeasure. To identify host proteins targeted for proteasomal degradation by porcine reproductive and respiratory syndrome virus (PRRSV), we conducted a quantitative proteomics screen of PRRSV-infected Marc-145 cells under the treatment with proteasome inhibitor MG132. The data revealed that the expression levels of programmed cell death 4 (PDCD4) were strongly downregulated by PRRSV and significantly rescued by MG132. Further investigation confirmed that PRRSV infection induced the translocation of PDCD4 from the nucleus to the cytoplasm, and the viral nonstructural protein 9 (Nsp9) promoted PDCD4 proteasomal degradation in the cytoplasm by activating the Akt-mTOR-S6K1 pathway. The C-terminal domain of Nsp9 was responsible for PDCD4 degradation. As for the role of PDCD4 during PRRSV infection, we demonstrated that PDCD4 knockdown favored viral replication, while its overexpression significantly attenuated replication, suggesting that PDCD4 acts as a restriction factor for PRRSV. Mechanistically, we discovered eukaryotic translation initiation factor 4A (eIF4A) was required for PRRSV. PDCD4 interacted with eIF4A through four sites (E249, D253, D414, and D418) within its two MA3 domains, disrupting eIF4A-mediated translation initiation in the 5'-untranslated region of PRRSV, thereby inhibiting PRRSV infection. Together, our study reveals the antiviral function of PDCD4 and the viral strategy to antagonize PDCD4. These results will contribute to our understanding of the immune evasion strategies employed by PRRSV and offer valuable insights for developing new antiviral targets.IMPORTANCEPorcine reproductive and respiratory syndrome virus (PRRSV) infection results in major economic losses in the global swine industry and is difficult to control effectively. Here, using a quantitative proteomics screen, we identified programmed cell death 4 (PDCD4) as a host protein targeted for proteasomal degradation by PRRSV. We demonstrated that PDCD4 restricts PRRSV replication by interacting with eukaryotic translation initiation factor 4A, which is required for translation initiation in the viral 5'-untranslated region. Additionally, four sites within two MA3 domains of PDCD4 are identified to be responsible for its antiviral function. Conversely, PRRSV nonstructural protein 9 promotes PDCD4 proteasomal degradation in the cytoplasm by activating the Akt-mTOR-S6K1 pathway, thus weakening the anti-PRRSV function. Our work unveils PDCD4 as a previously unrecognized host restriction factor for PRRSV and reveals that PRRSV develops countermeasures to overcome PDCD4. This will provide new insights into virus-host interactions and the development of new antiviral targets.

Nanobodies against African swine fever virus p72 and CD2v proteins as reagents for developing two cELISAs to detect viral antibodies

African swine fever virus (ASFV) poses a significant threat to the global swine industry. Currently, there are no effective vaccines or treatments available to combat ASFV infection in pigs. The primary means of controlling the spread of the disease is through rapid detection and subsequent elimination of infected pig. Recently, a lower virulent ASFV isolate with a deleted EP402R gene (CD2v-deleted) has been reported in China, which further complicates the control of ASFV infection in pig farms. Furthermore, an EP402R-deleted ASFV variant has been developed as a potential live attenuated vaccine candidate strain. Therefore, it is crucial to develop detection methods that can distinguish wild-type and EP402R-deleted ASFV infections. In this study, two recombinant ASFV-p72 and -CD2v proteins were expressed using a prokaryotic system and used to immunize Bactrian camels. Subsequently, eight nanobodies against ASFV-p72 and ten nanobodies against ASFV-CD2v were screened. Following the production of these nanobodies with horse radish peroxidase (HRP) fusion proteins, the ASFV-p72-Nb2-HRP and ASFV-CD2v-Nb22-HRP fusions were selected for the development of two competitive ELISAs (cELISAs) to detect anti-ASFV antibodies. The two cELISAs exhibited high sensitivity, good specificity, repeatability, and stability. The coincidence rate between the two cELISAs and commercial ELISA kits was 98.6% and 97.6%, respectively. Collectively, the two cELISA for detecting antibodies against ASFV demonstrated ease of operation, a low cost, and a simple production process. The two cELISAs could determine whether pigs were infected with wild-type or CD2v-deleted ASFV, and could play an important role in monitoring ASFV infections in pig farms.

E-commerce innovation in emerging fashion markets: a case study of Moldovan designers' digital expansion and role of support programs

This paper explores the transformative role of e-commerce in the emerging Moldovan fashion market, focusing on the digital expansion of local designers. It examines the industry's shift from traditional manufacturing to innovative online sales channels, highlighting the challenges and opportunities this transition presents, including the need for new skills, legal framework adaptability, and investment. The study also discusses the impact of the COVID-19 pandemic, which accelerated the adoption of e-commerce among Moldovan fashion firms. With the support of programs like the Fashion Omnichannel Mentorship Program, these firms are enhancing their digital presence and competitiveness. The paper emphasizes the importance of mentorship and tailored support in enabling Moldovan brands to thrive in the digital marketplace, contributing to their growth and success in the global fashion industry.

Development, challenges and strategies of natural gas industry under carbon neutral target in China

In the mid-21st century, natural gas will enter its golden age, and the era of natural gas is arriving. This paper reviews the development stages of global natural gas industry and the enlightenment of American shale gas revolution, summarizes the development history and achievements of the natural gas industry in China, analyzes the status and challenges of natural gas in the green and low-carbon energy transition, and puts forward the natural gas industry development strategies under carbon neutral target in China. The natural gas industry in China has experienced three periods: start, growth, and leap forward. At present, China has become the fourth largest natural gas producer and third largest natural gas consumer in the world, and has made great achievements in natural gas exploration and development theory and technology, providing important support for the growth of production and reserves. China has set its goal of carbon neutrality to promote green and sustainable development, which brings opportunities and challenges for natural gas industry. Natural gas has significant low-carbon advantages, and gas-electric peak shaving boosts new energy development; the difficulty and cost of development are more prominent. For the national energy security and harmonious development between economy and ecology under the carbon neutral goal, based on the principle of “comprehensive planning, technological innovation, multi-energy complementarity, diversified integration, flexibility and efficiency, optimization and upgrading”, the construction of the production-supply- storage-marketing system has to be improved so as to boost the development of the natural gas industry. First, it is necessary to strengthen efforts in the exploration and development of natural gas, making projects and arrangement in key exploration and development areas, meanwhile, it is urgent to make breakthroughs in key science theories and technologies, so as to increase reserve and production. Second, it should promote green and innovative development of the natural gas by developing new techniques, expanding new fields and integrating with new energy. Third, there is a demand to realize transformation and upgrading of the supply and demand structure of natural gas by strengthening the layout of pipeline gas, liquefied natural gas and the construction of underground gas storage, establishing reserve system for improving abilities of emergency response and adjustment, raising the proportion of natural gas in the primary energy consumption and contributing to the transformation of energy consumption structure, realizing low-carbon resources utilization and clean energy consumption.

Freight train air brake modelling with emergency valves

The 120-type air brake system is unique around global rail industry and critical for Chinese freight train operation. Existing research about its simulations does not include detailed models for the emergency brake valves. This paper filled this research gap by developing a detailed fluid dynamic air brake system with a focus on the emergency brake valve. The working principle of the emergency brake vale was reviewed. The brake system model was based on gas flow governing equations (mass and momentum) and orifice flow equations. The model was validated by comparing with measured data from a 150-wagon train. Four braking scenarios were compared. The simulated maximum cylinder pressure was only 5 kPa out of the range of the measured data. The maximum difference regarding the time when cylinder pressure reaches maximum pressure was 4 s. The simulation results have also shown variable switch pressure points for the two-stage brake valve. This is agreed by the measured results and was not shown in previously published research.

Utilising AI-based Chatbot for Maximising Value and Profitability of Islamic Financial Institutions

global Islamic finance industry has experienced significant growth in recent years, establishing Islamic financial institutions (IFIs) as prominent players in the international financial landscape. To maintain competitiveness and sustainability, IFIs must embrace innovation and explore avenues for maximising their performance. This research aims to investigate the effect of AI-based Chatbots on the value and profitability of IFIs in Organisation of Islamic Cooperation (OIC) countries. The study has employed quantitative methodology, and the data was collected from the Bloomberg database, Thomson Reuters DataStream, World Development Indicators and annual reports of 104 IFIs across 44 OIC countries from 2020 to 2022. Employing the Generalised Method of Moments (GMM), this study investigates the impact of AI-based Chatbots on the value and profitability of IFIs. The findings show a positive impact of Chatbot on Return on Assets (ROA), Return on Equity (ROE), and Tobin’s Q (TBQ). Furthermore, the analysis reveals that variables such as Gross Domestic Product (GDP), institutional size (SIZE), and age (AGE) exhibit positive associations with the value and profitability of IFIs. Conversely, the study identifies Consumer Price Index (CPI) as exerting a negative influence on the value and profitability of IFIs, indicating potential challenges posed by inflationary pressures. IFIs may consider investing in the development and deployment of advanced AI technologies to enhance overall profitability. Keywords: AI-based Chatbot; Profitability; Islamic financial institutions (IFIs); OIC Countries; Dynamic GMM

Sustainability à la carte: A systematic review of green restaurant research (2010-2023)

ABSTRACT This paper delves into the realm of green restaurants, which seamlessly combine environmentally conscious practices with culinary excellence. It scrutinized 106 reputable hospitality and tourism articles using systematic literature review methods. The analysis, featuring descriptive examination and topic modeling, revealed significant developments in green restaurant research and highlighted their potential to address sustainability challenges. Employing an adapted TCCM framework (Theory, Context, Characteristics, and Methodology), the review suggests new research directions, placing a heightened focus on the “characteristics” aspect to align academic insights with global priorities and industry requirements. This promotes actionable and collaborative strategies for eco-friendly restaurants.

Improvement and analysis of aircraft maintenance flow process using lean manufacturing, PDCA, PICA, and VSM for sustainable operation system

The aircraft maintenance process plays a crucial role in ensuring the safety and reliability of air travel. However, this process often encounters inefficiencies and waste, reducing productivity. This study aims to analyze the flow of the aircraft maintenance process and identify areas for improvement using Lean Manufacturing, Plan-Do-Check-Act (PDCA), Problem Identification and Corrective Action (PICA), and Value Stream Mapping (VSM) methods within a sustainability system. This study demonstrates how non-value-adding (NVA) and necessary but non-value-adding activities (NNVA) contribute to maintenance process delays, waste generation, and decreased process efficiency. It also underscores the impact of waste on process performance and proposes potential time savings through focused improvements. The result revealed that inventory wastage was the most prevalent issue, accounting for 9 out of 26 activities, followed by waiting for wastage with seven activities and defects with 5 activities. These wasteful activities are primarily concentrated in phases 3, 4, and 5, encompassing inspection, repair, and installation phases. Consequently, there is a pressing need to enhance efficiency in all phases, particularly phases 3, 4, and 5, by targeting non-value-added activities. Implementing these improvements can reduce the total process time from 18,229 minutes to 15,170.2 minutes, offering a detailed roadmap for enhancing the aircraft maintenance process. Thus, this study is an alternative consideration for the aircraft maintenance industry to ensure a continuous improvement process in facing the challenges of global industry innovation as the category of Sustainable Development Goals (SDGs).

A Multifunctional CaII-EuIII Heterometallic Organic Framework with Sensing and Selective Adsorption in Water.

With increasing global industrialization, it is urgent and challenging to develop multifunctional species for detection and adsorption in the environment. For this purpose, a novel anionic heterometallic organic framework, [(CH3)2NH2][CaEu(CAM)2(H2O)2]·4H2O·4DMF (CaEuCAM), is hydrothermally synthesized based on chelidamic acid (H3CAM). Single crystal analysis shows that CaEuCAM features two different oxygen-rich channels along the c-axis in which one CAM3- bridges two sextuple-coordinated Ca2+ and two octuple-coordinated Eu3+ with a μ4-η1: η1: η1: η1: η1: η1 new chelating and bridging mode. The characteristic bright red emission and superior hydrostability of CaEuCAM under harsh acidic and basic conditions benefit it by acting as a highly sensitive sensor for Fe3+ and 3-nitrophenol (3-NP) with extremely low LODs through remarkable quenching. The combination of experiments and theoretical calculations for sensing mechanisms shows that the competitive absorption and interaction are responsible for Fe3+-induced selective emission quenching, while that for 3-NP is the result of the synergism of host-guest chemistry and the inner filter effect. Meanwhile, the assimilation of negative charge plus channels renders CaEuCAM a highly selective adsorbent for methylene blue (MB) due to a synergy of electrostatic affinity, ion-dipole interaction, and size matching. Of note is the reusability of CaEuCAM toward Fe3+/3-NP sensing and MB adsorption besides its fast response. These findings could be very useful in guiding the development of multifunctional Ln-MOFs for sensing and adsorption applications in water media.

Research on Market Competition and Cooperation Opportunities in the Cultural Industries of China, Japan, and Korea

With the deep development of global cultural exchange, the cultural industry, as an important manifestation of soft power, has become a focus of competition among countries. China, Japan, and Korea, geographically close with rich cultural traditions, each have their distinctive cultural industries that have developed rapidly, forming their unique competitive advantages. Japan, with its exquisite craftsmanship and innovative thinking, leads in fields such as animation and design, and its cultural products are beloved by consumers worldwide. Korea has opened up international markets with its innovative production and marketing strategies in pop culture and film, becoming a new force in the global cultural industry. China, with its long history and rich cultural resources, has made significant achievements in investment and creation in the cultural industry in recent years, becoming a global cultural industry hub. However, with the increasing openness of the cultural market and intensified competition, the cultural industries of China, Japan, and Korea face unprecedented challenges. How to further enhance market competitiveness and explore international markets while maintaining their own characteristics has become a focus of attention for the cultural industries and governments of the three countries. Through strengthening cooperation and exchange, the cultural industries of China, Japan, and Korea can certainly shine brighter in the global market, making greater contributions to the cultural prosperity of Asia and the world.

Chinese Outbound Tourists and the Changing Political Economies of Cambodia, Malaysia, and Singapore

ABSTRACT The global tourism industry was severely affected by the COVID-19 pandemic. New economic, social and political realities have emerged, and destinations are facing the changes. This research compares three popular destinations among Chinese tourists (i.e. Cambodia, Malaysia and Singapore) to illuminate key political economic shifts of tourism in Southeast Asia in relation to China amid of the unfolding ‘new normal.’ By conducting a qualitative review and content analysis on publicly available data (e.g. media stories and public documents), the article contributes to a burgeoning body of knowledge on the impact of the pandemic wipe-out of the tourism industry and the context-dependent responses across destinations. The study reveals that established attitudes toward tourism have been challenged, as China and its major host countries learn to live with a weakened tourism industry. Whilst the three countries attempt to diversify their tourism economy, their dependency on the Chinese in their tourism and economic development will possibly deepen even though the post-Covid Chinese economy has slowed down. The comparison illustrates the different types of China-driven forces affecting these countries, highlighting the nuances and shades of understanding tourism political economies in these Southeast Asian countries.

Rice Grains Detection, Classification, and Quality Prediction Using Deep Learning

Abstract: Rice, as the most consumed food worldwide, faces a continual demand, necessitating rigorous quality inspection for both local consumption and international trade. Manual quality assessment methods are fraught with issues such as time consumption, high costs, and error susceptibility. This research paper introduces an innovative solution employing Deep Convolutional Neural Networks (CNNs) to automate rice grain detection, classification, and quality prediction from scanned images. The methodology integrates comprehensive image pre-processing and quality assessment techniques, encompassing image acquisition, pre-processing, CNN architecture construction, model training, and evaluation. Notably, it includes noise removal and segmentation to optimize input images. The grain samples undergo image processing using MATLAB, where an algorithm is applied to analyze their features. Classification is then performed based on the color, shape, and size characteristics of the grains. Various image features are extracted such as centroids, mean intensity, chalkiness, and perimeter further aid in quality assessment. Performance evaluation of the trained model is conducted through confusion matrix analysis and computation of classification metrics like accuracy, specificity, sensitivity, precision, recall, and F1-score. This methodology offers a robust framework for automated rice grain classification and quality prediction, thereby significantly enhancing efficiency and reliability in the global rice industry

Modeling Environmental Impacts of Intensive Shrimp Aquaculture: A Three-Dimensional Hydrodynamic Ecosystem Approach

Already a multibillion-dollar global industry, shrimp aquaculture, is growing all the time. The intensive method, which is the most common method in shrimp aquaculture, remains commercially challenged due to the expenditures associated with environmental pollution abatement. Although the comprehensive understanding of this intricate aquaculture environment has been advanced using mathematical modeling, recent attempts to improve the model’s structure have not yielded enough results. This work upgraded the previous method to a three-dimensional hydrodynamic ecosystem model with the effects of shrimps being replaced by approximation equations for the environmental assessment of a shrimp aquaculture pond in Kyushu District, Japan. Our approach was successful, as demonstrated by the high consistency of the simulation results when compared to observation data and the previous results. Additionally, we first revealed the impacts of stratification and confirmed the notable daily variation in the water quality. Our case study offers significant practical information on the characteristics of intensive shrimp aquaculture, implications for long-term sustainable operations, and future research priorities on local-scale ecosystem modeling.