Metagenomics reveals the resistance patterns of electrochemically treated erythromycin fermentation residue.

Erythromycin fermentation residue (EFR) represents a typical hazardous waste produced by the microbial pharmaceutical industry. Although electrolysis is promising for EFR disposal, its microbial threats remain unclear. Herein, metagenomics was coupled with the random forest technique to decipher the antibiotic resistance patterns of electrochemically treated EFR. Results showed that 95.75% of erythromycin could be removed in 2 hr. Electrolysis temporarily influenced EFR microbiota, where the relative abundances of Proteobacteria and Actinobacteria increased, while those of Fusobacteria, Firmicutes, and Bacteroidetes decreased. A total of 505 antibiotic resistance gene (ARG) subtypes encoding resistance to 21 antibiotic types and 150 mobile genetic elements (MGEs), mainly including plasmid (72) and transposase (52) were assembled in EFR. Significant linear regression models were identified among microbial richness, ARG subtypes, and MGE numbers (r2=0.50-0.81, p< 0.001). Physicochemical factors of EFR (Total nitrogen, total organic carbon, protein, and humus) regulated ARG and MGE assembly (%IncMSE value = 5.14-14.85). The core ARG, MGE, and microbe sets (93.08%-99.85%) successfully explained 89.71%-92.92% of total ARG and MGE abundances. Specifically, gene aph(3')-I, transposase tnpA, and Mycolicibacterium were the primary drivers of the resistance dissemination system. This study also proposes efficient resistance mitigation measures, and provides recommendations for future management of antibiotic fermentation residue.

Carbon emissions in China's steel industry from a life cycle perspective: Carbon footprint insights.

China is the most important steel producer in the world, and its steel industry is one of the most carbon-intensive industries in China. Consequently, research on carbon emissions from the steel industry is crucial for China to achieve carbon neutrality and meet its sustainable global development goals. We constructed a carbon dioxide (CO2) emission model for China's iron and steel industry from a life cycle perspective, conducted an empirical analysis based on data from 2019, and calculated the CO2 emissions of the industry throughout its life cycle. Key emission reduction factors were identified using sensitivity analysis. The results demonstrated that the CO2 emission intensity of the steel industry was 2.33 ton CO2/ton, and the production and manufacturing stages were the main sources of CO2 emissions, accounting for 89.84% of the total steel life-cycle emissions. Notably, fossil fuel combustion had the highest sensitivity to steel CO2 emissions, with a sensitivity coefficient of 0.68, reducing the amount of fossil fuel combustion by 20% and carbon emissions by 13.60%. The sensitivities of power structure optimization and scrap consumption were similar, while that of the transportation structure adjustment was the lowest, with a sensitivity coefficient of less than 0.1. Given the current strategic goals of peak carbon and carbon neutrality, it is in the best interest of the Chinese government to actively promote energy-saving and low-carbon technologies, increase the ratio of scrap steel to steelmaking, and build a new power system.

Industry updates from the field of stem cell research and regenerative medicine in January 2024.

Latest developments in the field of stem cell research and regenerative medicine compiled from publicly available information and press releases from nonacademic institutions in January 2024.

Regenerative medicine industry news digest, January 2024.

Use of tRNA gene barriers improves stability of transgene expression in CHO cells.

Instability of transgene expression is a major challenge for the biopharmaceutical industry, which can impact yields and regulatory approval. Some tRNA genes (tDNAs) can resist epigenetic silencing, the principal mechanism of expression instability, and protect adjacent genes against the spread of repressive heterochromatin. We have taken two naturally occurring clusters of human tDNAs and tested their ability to reduce epigenetic silencing of transgenes integrated into the genome of Chinese hamster ovary (CHO) cells. We find sustained improvements in productivity both in adherent CHO-K1 cells and in an industrially relevant CHO-DG44 expression system (Apollo X, FUJIFILM Diosynth Biotechnologies). We conclude that specific tDNA clusters offer potential to mitigate the widespread problem of production instability.

Gaze detection as a social cue to initiate natural human-robot collaboration in an assembly task.

Introduction: In this work we explore a potential approach to improve human-robot collaboration experience by adapting cobot behavior based on natural cues from the operator. Methods: Inspired by the literature on human-human interactions, we conducted a wizard-of-oz study to examine whether a gaze towards the cobot can serve as a trigger for initiating joint activities in collaborative sessions. In this study, 37 participants engaged in an assembly task while their gaze behavior was analyzed. We employed a gaze-based attention recognition model to identify when the participants look at the cobot. Results: Our results indicate that in most cases (83.74%), the joint activity is preceded by a gaze towards the cobot. Furthermore, during the entire assembly cycle, the participants tend to look at the cobot mostly around the time of the joint activity. Given the above results, a fully integrated system triggering joint action only when the gaze is directed towards the cobot was piloted with 10 volunteers, of which one characterized by high-functioning Autism Spectrum Disorder. Even though they had never interacted with the robot and did not know about the gaze-based triggering system, most of them successfully collaborated with the cobot and reported a smooth and natural interaction experience. Discussion: To the best of our knowledge, this is the first study to analyze the natural gaze behavior of participants working on a joint activity with a robot during a collaborative assembly task and to attempt the full integration of an automated gaze-based triggering system.

The challenges and prospects of using cold plasma to prevent bacterial contamination and biofilm formation in the meat industry.

The risk of foodborne disease outbreaks increases when the pathogenic bacteria are able to form biofilms, and this presents a major threat to public health. An emerging non-thermal cold plasma (CP) technology has proven a highly effective method for decontaminating meats and their products and extended their shelf life. CP treatments have ability to reduce microbial load and, biofilm formation with minimal change of color, pH value, and lipid oxidation of various meat and meat products. The CP technique offers many advantages over conventional processing techniques due to its layout flexibility, nonthermal behavior, affordability, and ecological sustainability. The technology is still in its infancy, and continuous research efforts are needed to realize its full potential in the meat industry. This review addresses the basic principles and the impact of CP technology on biofilm formation, meat quality (including microbiological, color, pH value, texture, and lipid oxidation), and microbial inactivation pathways and also the prospects of this technology.

Study on the establishment of air pollutant and carbon emission inventory and collaborative emission reduction potential of China's coking industry from 2012 to 2022.

Coking industry is usually regarded as a high pollution and high energy consumption industry. China is accelerating its efforts to reduce pollution and carbon emissions in the industrial sector, which has received little attention as the world's largest producer of coke. Therefore, in this study, the trend of air pollution and carbon emissions in China's coking industry and the path of coordinated emission reduction were studied. The results indicate that the average annual emissions of PM, SO2, NOx, VOCs, and CO2 in China's coking industry from 2012 to 2022 amount to 205.98, 69.47, 193.45, 599.80 Gg and 191.10 Tg, respectively. The main sources of PM, SO2, NOx, VOCs and CO2 in coking industry were coal preparation (51.5 %), charge and pushing (39.5 %), coke oven gas (99.8 %), byproduct recovery (47.0 %) and fuel combustion (87.5 %). The emissions from coking plants in central and southern Shanxi, eastern and southern Hebei, and central Shandong are the most concentrated. Ultra-low emission transformation and deep treatment of VOCs have greatly reduced pollutant emissions in key areas of air pollutant control, but the actual emission reduction effect of these measures has been weakened by the additional emissions caused by the increase of coke production in other non-key areas. The research on synergetic emission reduction path shows that there is a great synergistic benefit between air pollutants and CO2 emission reduction in coking industry. It is estimated that the APeq (air pollutants and carbon equivalent) of China's coking industry in 2025, 2028 and 2030 will decrease by 38.2 %, 63.5 % and 70.8 % respectively compared with 2022. With the continuous promotion of pollution reduction and carbon reduction measures, the emission reduction potential of China's coking industry will gradually shift from key areas to non-key areas.

Industry relationships with interventional radiologists: Who are the high payment physicians?

PURPOSE: To identify characteristics of interventional radiologists receiving more than $100,000 in general industry payments over a 5-year period (2017-2021). METHODS: The Open Payments database was queried to identify interventional radiologists who received more than $100,000 in consulting fees, speaker fees, education, and/or gifts over a 5-year period from 2017 to 2021. The national provider identifier registry, Scopus, and a web-based search were used to identify physician characteristics, such as demographics, research profile, leadership positions, and social media presence. RESULTS: From 2017-2021, 125 interventional radiologists received cumulative payments greater than $100,000 in consulting fees, speaker fees, education, and gifts. For this subset of physicians, the median (IQR) cumulative payment value was $214,380 ($141,812 - $383,740), and the total payment value was $40 million. While the highest-paid subset of physicians represented only 3 % (125/4272) of all US interventional radiologists paid by industry, the total payment value represented 66 % ($40,039,610.08/$60,859,025) of the total payment value among all interventional radiologists. 47 % (59/125) had faculty appointments and 30 % (37/125) had hospital leadership positions. 22 % (27/125) were clinical practice guideline authors, while 18 % (23/125) served on journal editorial boards and 12 % (15/125) had positions in specialty association leadership. Castle Connolly recognized 26 % (32/125) as top doctors. Among the 96 % (120/125) with published research in the past 5 years, the median (IQR) H-index was 17 (7-31). 38 % (48/125) had a presence on Twitter with a median (IQR) Kardashian index of 2.03 (0.48-6.16). CONCLUSION: A small subset of interventional radiologists receive large payments from drug and medical device companies. These physicians are leaders in their field with influence in hospitals, research, associations, and social media. Further work is needed to understand how the concentration of these payments affects decisions in clinical practice and policy.

Deep-Learning-Guided Electrochemical Impedance Spectroscopy for Calibration-Free Pharmaceutical Moisture Content Monitoring.

The moisture content of pharmaceutical powders can significantly impact the physical and chemical properties of drug formulations, solubility, flowability, and stability. However, current technologies for measuring moisture content in pharmaceutical materials require extensive calibration processes, leading to poor consistency and a lack of speed. To address this challenge, this study explores the feasibility of using impedance spectroscopy to enable accurate, rapid testing of moisture content of pharmaceutical materials with minimal to zero calibration. By utilizing electrochemical impedance spectroscopy (EIS) signals, we identify a strong correlation between the electrical properties of the materials and varying moisture contents in pharmaceutical samples. Equivalent circuit modeling is employed to unravel the underlying mechanism, providing valuable insights into the sensitivity of impedance spectroscopy to moisture content variations. Furthermore, the study incorporates deep learning techniques utilizing a 1D convolutional neural network (1DCNN) model to effectively process the complex spectroscopy data. The proposed model achieved a notable predictive accuracy with an average error of just 0.69% in moisture content estimation. This method serves as a pioneering study in using deep learning to provide a reliable solution for real-time moisture content monitoring, with potential applications extending from pharmaceuticals to the food, energy, environmental, and healthcare sectors.

Marketing of nicotinamide as nicotine replacement in electronic cigarettes and smokeless tobacco.

In the United States, the Food and Drug Administration (FDA) requires tobacco product manufacturers to submit Premarket Tobacco Product Applications (PMTA) for new products, granting marketing approval only if deemed appropriate for the protection of public health. Historically, the tobacco industry has exploited loopholes in the Tobacco Control Act (TCA), especially related to the definitions of nicotine, tobacco product and characterizing flavors, to circumvent the PMTA requirement. In 2023, the industry introduced several 'PMTA-exempt' e-cigarette and smokeless products, including products containing 6-methyl nicotine, a synthetic nicotine analog that is pharmacologically more potent than nicotine. In late 2023 and early 2024, the major US e-cigarette suppliers Nicotine River and ECBlend introduced 'PMTA-exempt' products with the brand names 'Nixamide' or 'Nixodine' or 'Nixotine', with nicotinamide as the main active ingredient. Nicotinamide is a form of vitamin B3 with no known pharmacological activity at nicotinic receptors. Here, we report that the marketing claims for these products, suggesting them and be nicotine substitute products designed to target nicotinic receptors and provide the same experience as nicotine, is deceptive and misleading to consumers. We also inform that these products have evolved further to contain a combination of nicotinamide and 6-methyl nicotine. The regulatory implications of these newly introduced products are discussed.

Supply and demand effects between tobacco retailer density and smoking prevalence.

OBJECTIVE: Places with more tobacco retailers have higher smoking prevalence levels, but whether this is because retailers locate where people who smoke live or whether tobacco availability prompts tobacco use is unknown. In this study, we compare the role of consumer demand with that of tobacco supply in longitudinal, area-based associations of tobacco retailer density with smoking prevalence. METHODS: We merged annual adult smoking prevalence estimates derived from the USA Behavioural Risk Factor Surveillance System data with annual county estimates of tobacco retailer density calculated from the National Establishment Time Series data for 3080 counties between 2000 and 2010. We analysed relationships between retailer density and smoking in 3080 counties, using random intercept cross-lagged panel models and employing two measures of tobacco retailer density capturing the number of likely tobacco retailers in a county divided by either the population or land area. RESULTS: Both density models provided evidence of significant demand and supply effects; in the population-based model, the association of smoking prevalence in 1 year with tobacco retailer density in the next year (standardised coefficient=0.038, p<0.01) was about double the association between tobacco retailer density with subsequent smoking prevalence (0.017, p<0.01). The reverse was true in the land area-based model, where the supply effect (0.042, p<0.01) was more than 10 times stronger than the demand effect (0.003, p<0.01). CONCLUSIONS: Policies that restrict access to retail tobacco have the potential to reduce smoking prevalence, but pairing such policies with interventions to reduce consumer demand remains important.

Regional coordinated development of low-carbon sports industry in China.

This study develops a systematic modeling framework, comprising a prediction model, a super-SBM model, and a spatial autocorrelation analysis model, to explore the spatial-temporal evolution tendencies of development efficiency within China's 30 regions in the low-carbon sports industry from 2006 to 2025. This framework aims to provide theoretical insights for the formulation of more targeted policies. Based on the empirical findings, the main conclusions of this study are as follows: (1) The optimal buffer operator grey prediction model demonstrates the highest accuracy among the prediction models examined. (2) The development efficiency curves of the 30 regions exhibit a significant increasing trend from 2006 to 2021, with values generally peaking between 0.4 and 0.6. (3) Notably, the disparity in development efficiency between developed and less developed regions is expected to progressively widen. (4) The development efficiency of the low-carbon sports industry across the 30 regions typically displays high-high clustering and low-low clustering during China's four five-year plan periods. This underscores the importance and urgency of promoting regional coordinated development within the low-carbon sports industry.

Intelligent Clinic Nurse Scheduling Considering Nurses Paired with Doctors and Preference of Nurses.

The nurse scheduling problem (NSP) has been a crucial and challenging research issue for hospitals, especially considering the serious deterioration in nursing shortages in recent years owing to long working hours, considerable work pressure, and irregular lifestyle, which are important in the service industry. This study investigates the NSP that aims to maximize nurse satisfaction with the generated schedule subject to government laws, internal regulations of hospitals, doctor-nurse pairing rules, shift and day off preferences of nurses, etc. The computational experiment results show that our proposed hybrid metaheuristic outperforms other metaheuristics and manual scheduling in terms of both computation time and solution quality. The presented solution procedure is implemented in a real-world clinic, which is used as a case study. The developed scheduling technique reduced the time spent on scheduling by 93% and increased the satisfaction of the schedule by 21%, which further enhanced the operating efficiency and service quality.

Study of Respiratory Symptoms and Pulmonary Function among Neem Oil Industry Workers.

This study aims to investigate the pulmonary functions and respiratory symptoms of workers in the neem oil extraction industry in Tamil Nadu, India, who are exposed to neem oil dust and chemicalsin their occupational environment. Fifty male workers from the exposed group and 50 male workers from the non-exposed group to neem dust and chemicals were investigated for this study. A modified respiratory assessment questionnaire based on the American Thoracic Society (ATS) standard and portable hand-held spirometry were used to assess their respiratory symptoms and pulmonary function. Respiratory symptoms such as coughing, sneezing, wheezing, and, nasal irritation are found to be higher in the exposed groups than in the controlled groups. The pulmonary function of exposed workers had doubled respiratory problems than the controlled groups, which indicates the impacts of dust and chemicals generated during neem oil extraction on workers' health. Forced expiratory volume in one second (FEV1)/forced vital capacity FVC)% was noted regarding the duration of exposure to neem oil dust (P < 0.001). Also, there was a high difference between the heavily exposed and the lightly exposed (P < 0.001). Hence, to mitigate these problems, the oil mill workers should be cautious and wear personal protection equipment during working hours, and it is recommended to have an exhaust ventilation system.

Respiratory Morbidity Among Seed-Processing Industry Workers: A Cross-Sectional Study in Rural West Bengal, 2022-2023.

Background: Seed processing workers are exposed to dust particles generated during the processing of seeds, which can have adverse effects on their respiratory health. Aim: to estimate the prevalence and patterns of respiratory morbidity among seed processing workers in Hooghly district, West Bengal, India, and to explore their use of respiratory personal protective equipment (PPE). Methods: A cross sectional observational study was conducted in 5 seed processing plants from December 2022 to February 2023. A sample size of 129 workers was selected using probability proportionate to population size to select seed processing plants and simple random sampling to select workers at selected plants. Data on sociodemographic characteristics, occupational profile, substance use patterns, respiratory PPE use, and respiratory symptoms were collected through structured interviews. Spirometry was performed with a hand held tabletop spirometer (RMS Helios 401) to assess respiratory function. Results: 52.7% of participants reported at least one chronic respiratory symptom, while 17.1% had evident respiratory morbidity based on spirometry results, with most having restrictive patterns (10.1%). Multivariable regression analysis revealed that factors associated with respiratory morbidity included increasing work years of exposure [1.10 (1.02 1.18)], irregular use of respiratory PPE [4.36 (1.22 15.57)], and primary or below education level [6.09 (1.38 26.98)]. Conclusion: The study highlights the high prevalence of respiratory symptoms and morbidity among seed processing workers. It emphasizes the importance of implementing effective respiratory protection measures and raising awareness about occupational lung diseases in this industry. Further research and interventions are needed to improve the respiratory health and well being of seed processing workers.

Industry 4.0 Technologies in Maternal Health Care: Bibliometric Analysis and Research Agenda.

BACKGROUND: Industry 4.0 (I4.0) technologies have improved operations in health care facilities by optimizing processes, leading to efficient systems and tools to assist health care personnel and patients. OBJECTIVE: This study investigates the current implementation and impact of I4.0 technologies within maternal health care, explicitly focusing on transforming care processes, treatment methods, and automated pregnancy monitoring. Additionally, it conducts a thematic landscape mapping, offering a nuanced understanding of this emerging field. Building on this analysis, a future research agenda is proposed, highlighting critical areas for future investigations. METHODS: A bibliometric analysis of publications retrieved from the Scopus database was conducted to examine how the research into I4.0 technologies in maternal health care evolved from 1985 to 2022. A search strategy was used to screen the eligible publications using the abstract and full-text reading. The most productive and influential journals; authors', institutions', and countries' influence on maternal health care; and current trends and thematic evolution were computed using the Bibliometrix R package (R Core Team). RESULTS: A total of 1003 unique papers in English were retrieved using the search string, and 136 papers were retained after the inclusion and exclusion criteria were implemented, covering 37 years from 1985 to 2022. The annual growth rate of publications was 9.53%, with 88.9% (n=121) of the publications observed in 2016-2022. In the thematic analysis, 4 clusters were identified-artificial neural networks, data mining, machine learning, and the Internet of Things. Artificial intelligence, deep learning, risk prediction, digital health, telemedicine, wearable devices, mobile health care, and cloud computing remained the dominant research themes in 2016-2022. CONCLUSIONS: This bibliometric analysis reviews the state of the art in the evolution and structure of I4.0 technologies in maternal health care and how they may be used to optimize the operational processes. A conceptual framework with 4 performance factors-risk prediction, hospital care, health record management, and self-care-is suggested for process improvement. a research agenda is also proposed for governance, adoption, infrastructure, privacy, and security.

Tropospheric ozone - hidden cost for the financial performance of French wineries.

The paper investigates how tropospheric ozone affects the financial performance of French wine companies by influencing their operating income, using the Structural Equation Modeling (SEM) methodology. The study encompasses 487 active French wine industry companies from 2010 to 2022, considering various market, climate, and financial factors. The main findings show that high concentrations of tropospheric ozone negatively affect both the quality and quantity of grapes, thereby reducing the operating income of French wine companies and, consequently, their financial performance. More precisely, within the current market conditions and climate context, a 1% rise in tropospheric ozone levels leads to a 10.4% decrease in the operating income of French wine companies, which translates to a 0.7-0.8% decline in their financial performance. A strong market position enables French wine companies to achieve higher revenues, increased profit margins, and sustainable growth. Additionally, lower soil wetness, humidity, and temperature under higher atmospheric pressure improve grapevine growth and grape quality, further boosting revenue. Policy implications for wine producers include adopting site selection, irrigation, and canopy management strategies to enhance grape quality and financial health. Public authorities can address tropospheric ozone pollution through air quality standards, monitoring systems, financial incentives, and educational programs to mitigate its adverse effects.

Prospects of Pseudomonas in Microbial Fuel, Bioremediation, and Sustainability.

Microbial applications in agriculture and industry have gained significant attention due to their potential to address environmental challenges and promote sustainable development. Among these, the genus Pseudomonas stands out as a promising candidate for various biotechnological uses, thanks to its metabolic flexibility, resilience, and adaptability to diverse environments. This review provides a comprehensive overview of the current state and future prospects of microbial fuel production, bioremediation, and sustainable development, focusing on the pivotal role of Pseudomonas species. We emphasize the importance of microbial fuel as a renewable energy source and discuss recent advancements in enhancing biofuel generation using Pseudomonas strains. Additionally, we explore the critical role of Pseudomonas in bioremediation processes, highlighting its ability to degrade a wide spectrum of pollutants, including hydrocarbons, pesticides, and heavy metals, thereby reducing environmental contamination. Despite significant progress, several challenges remain. These include refining microbial strains for optimal process efficiency and addressing ecological considerations. Nonetheless, the diverse capabilities of Pseudomonas offer promising avenues for innovative solutions to pressing environmental issues, supporting the transition to a more sustainable future.

The Limits to Food and Beverage Industry Influence over Fiscal and Regulatory Policy in Latin America.

CONTEXT: Little is known about the political, institutional, and social contexts contributing to a decline in food and beverage industry power and influence over fiscal (soda taxes) and regulatory (sales/advertising restrictions and food labels) policy. This article addresses this issue by exploring why Mexico and Chile eventually saw such a decline in the food and beverage industry's influence whereas Brazil was not as successful. I argue that in Mexico and Chile, these outcomes are explained by shifts in presidential, congressional, and bureaucratic interests in pursuing policies that went against industry preferences. METHODS: This article took a qualitative methodological approach to comparative historical research. FINDINGS: Policymakers' interest in pursuing stronger food and beverage regulations were shaped by economic and public health concerns, new electoral contexts, epidemiological information, and normative beliefs. In Mexico, the infiltration of nutrition researchers within government facilitated this process. In contrast, Brazil's government was divided about pursuing regulatory policies, with presidents favoring partnerships with industry to implement a popular anti-hunger program; industry's power endured there with limited progress in policy reforms. CONCLUSION: Governments can eventually overcome industry power and policy influence, but it depends on a whole government commitment to reform.