Hasil untuk "Industrial hygiene. Industrial welfare"

Hailiang Zhao, Ziqi Wang, Daojiang Hu et al.

The convergence of artificial intelligence, cyber-physical systems, and cross-enterprise data ecosystems has propelled industrial intelligence to unprecedented scales. Yet, the absence of a unified trust foundation across data, services, and knowledge layers undermines reliability, accountability, and regulatory compliance in real-world deployments. While existing surveys address isolated aspects, such as data governance, service orchestration, and knowledge representation, none provides a holistic, cross-layer perspective on trustworthiness tailored to industrial settings. To bridge this gap, we present \textsc{Trisk} (TRusted Industrial Data-Service-Knowledge governance), a novel conceptual and taxonomic framework for trustworthy industrial intelligence. Grounded in a five-dimensional trust model (quality, security, privacy, fairness, and explainability), \textsc{Trisk} unifies 120+ representative studies along three orthogonal axes: governance scope (data, service, and knowledge), architectural paradigm (centralized, federated, or edge-embedded), and enabling technology (knowledge graphs, zero-trust policies, causal inference, etc.). We systematically analyze how trust propagates across digital layers, identify critical gaps in semantic interoperability, runtime policy enforcement, and operational/information technologies alignment, and evaluate the maturity of current industrial implementations. Finally, we articulate a forward-looking research agenda for Industry 5.0, advocating for an integrated governance fabric that embeds verifiable trust semantics into every layer of the industrial intelligence stack. This survey serves as both a foundational reference for researchers and a practical roadmap for engineers to deploy trustworthy AI in complex and multi-stakeholder environments.

P. R. Kumar, M. Vimala, S. Ramasamy et al.

For water quality to be maintained in commercial, industrial, and residential settings, water tanks must be kept clean. Conventional cleaning techniques are time-consuming, frequently dangerous, and inconsistently ineffective. Through the use of digital twin technology, this project suggests an automated water tank cleaning system that enables real-time monitoring, predictive maintenance, and tank cleaning process control. The Digital Twin is a computerized model of the actual water tank and cleaning equipment that continuously monitors the tank's condition by measuring things like sediment buildup, turbidity, and water level. Through the integration of data-driven algorithms and Internet of Things sensors, the system allows for remote control and the creation of ideal cleaning schedules based on current conditions. This automation minimizes the need for manual intervention, conserves water, and guarantees consistent hygiene standards, offering a practical, economical and sustainable solution for water tank maintenance.

Grant R. Tomkinson, Justin J. Lang, Lukáš Rubín et al.

Background: Muscular strength is a powerful marker of current health status and robust predictor of age-related disease and disability. Handgrip strength (HGS) using isometric dynamometry is a convenient, feasible, and widely used method of assessing muscular strength among people of all ages. While adult HGS norms have been published for many countries, no study has yet synthesized available data to produce international norms. The objective of this study was to generate international sex- and age-specific norms for absolute and body size-normalized HGS across the adult lifespan. Methods: Systematic searches were conducted in 6 databases/web search engines (MEDLINE, SPORTDiscus, Embase, Web of Science, CINAHL, and Google Scholar) up to December 1, 2023. We included full-text peer-reviewed observational studies that reported normative HGS data for adults aged ≥20 years by sex and age. Pseudo data were generated using Monte Carlo simulation following harmonization for methodological variation. Population-weighted Generalized Additive Models for Location, Scale, and Shape were used to develop sex- and age-specific norms for absolute HGS (kg) and HGS normalized by height (Ht, m) squared (i.e., HGS/Ht2 in kg/m2). Norms were tabulated as percentile values (5th to 95th) and visualized as smoothed percentile curves. Results: We included data from 100 unique observational studies representing 2,405,863 adults (51.9% female) aged 20 to 100+ years from 69 countries and regions tested from the year 2000 onward. On average, absolute and normalized HGS values negligibly improved throughout early adulthood, peaked from age 30–39 years (at 49.7 kg (males) and 29.7 kg (females) for absolute HGS or 16.3 kg/m2 (males) and 11.3 kg/m2 (females) for HGS/Ht2), and declined afterwards. The age-related decline in HGS accelerated from middle to late adulthood and was slightly larger for males than for females during middle adulthood. Conclusion: This study provides the world's largest and most geographically comprehensive international norms for adult HGS by sex and age. These norms have utility for global peer-comparisons, health screening, and surveillance.

Saverio Cosola, Sandy Manuela Fanelli, Antonia Sinesi et al.

The literature has identified several common acute and chronic complications associated with periodontal health during pregnancy, such as gingivitis, recession, periodontitis, and changes in systemic health, such as gestational diabetes, which may act as additional risk factors for chronic periodontal disease. Are the general public and health care providers aware of the potential risks of systemic and intrauterine inflammation caused by bacteria from the oral microbiota entering the bloodstream through inflamed gingival tissue and affecting the fetoplacental unit, leading to complications, such as preterm birth and reduced prenatal growth? A questionnaire-based survey, conducted between January 2023 and June 2023, aimed to assess patients’ personal oral hygiene practices and their understanding of the link between pregnancy and periodontal health. A total of 826 people completed a questionnaire for this study. The majority of women surveyed (86.9%) were not pregnant, but 77.7% had at least one child. The majority of women believed in good oral hygiene during pregnancy but lacked knowledge about how oral care can affect pregnancy outcomes.

Dongyi Yi, Guibo Zhu, Chenglin Ding et al.

With the rapid advancement of Multimodal Large Language Models (MLLMs), numerous evaluation benchmarks have emerged. However, comprehensive assessments of their performance across diverse industrial applications remain limited. In this paper, we introduce MME-Industry, a novel benchmark designed specifically for evaluating MLLMs in industrial settings.The benchmark encompasses 21 distinct domain, comprising 1050 question-answer pairs with 50 questions per domain. To ensure data integrity and prevent potential leakage from public datasets, all question-answer pairs were manually crafted and validated by domain experts. Besides, the benchmark's complexity is effectively enhanced by incorporating non-OCR questions that can be answered directly, along with tasks requiring specialized domain knowledge. Moreover, we provide both Chinese and English versions of the benchmark, enabling comparative analysis of MLLMs' capabilities across these languages. Our findings contribute valuable insights into MLLMs' practical industrial applications and illuminate promising directions for future model optimization research.

Giovanna Takano Natti, Érica Regina Takano Natti, Paulo Laerte Natti

We present a review of the current and future industrial applications of neutrinos. We address the industrial applications of neutrinos in geological and geochemical studies of the Earth's interior, in monitoring earthquakes, in terrestrial communications, in applications for submarines, in monitoring nuclear power plants and fusion reactors, in the management of fissile materials used in nuclear plants, in tracking nuclear tests, among other applications. We also address future possibilities for industrial applications of neutrinos, especially concerning communications in the solar system and geotomography of solar system bodies.

ML Cobb, AG Jimenez, NA Dreschel

This paper aims to initiate new conversations about the use of physiological indicators when assessing the welfare of dogs. There are significant concerns about construct validity - whether the measures used accurately reflect welfare. The goal is to provide recommendations for future inquiry and encourage debate. We acknowledge that the scientific understanding of animal welfare has evolved and bring attention to the shortcomings of commonly used biomarkers like cortisol. These indicators are frequently used in isolation and with limited salient dog descriptors, so fail to reflect the canine experience adequately. Using a systems approach, we explore various physiological systems and alternative indicators, such as heart rate variability and oxidative stress, to address this limitation. It is essential to consider factors like age, body weight, breed, and sex when interpreting these biomarkers correctly, and researchers should report on these in their studies. This discussion identifies possible indicators for both positive and negative experiences. In conclusion, we advocate for a practical, evidence-based approach to assessing indicators of canine welfare, including non-invasive collection methods. We acknowledge the complexity of evaluating experiential responses in dogs across different situations and the need for continued work to improve practices and refine terminology. This will enhance our ability to accurately understand welfare and improve the wellbeing of dogs, serving to inform standards of animal welfare assessment. We hope this will promote more fundamental research in canine physiology to improve construct validity, leading to better practices, ultimately improving the lives of dogs.

Chaoran Zhang, Chenhao Zhang, Zhaobo Xu et al.

The combination of embodied intelligence and robots has great prospects and is becoming increasingly common. In order to work more efficiently, accurately, reliably, and safely in industrial scenarios, robots should have at least general knowledge, working-environment knowledge, and operating-object knowledge. These pose significant challenges to existing embodied intelligent robotics (EIR) techniques. Thus, this paper first briefly reviews the history of industrial robotics and analyzes the limitations of mainstream EIR frameworks. Then, a new knowledge-driven technical framework of embodied intelligent industrial robotics (EIIR) is proposed for various industrial environments. It has five modules: a world model, a high-level task planner, a low-level skill controller, a simulator, and a physical system. The development of techniques related to each module are also thoroughly reviewed, and recent progress regarding their adaption to industrial applications are discussed. A case study of real-world assembly system is given to demonstrate the newly proposed EIIR framework's applicability and potentiality. Finally, the key challenges that EIIR encounters in industrial scenarios are summarized and future research directions are suggested. The authors believe that EIIR technology is shaping the next generation of industrial robotics and EIIR-based industrial systems supply a new technological paradigm for intelligent manufacturing. It is expected that this review could serve as a valuable reference for scholars and engineers that are interested in industrial embodied intelligence. Together, scholars can use this research to drive their rapid advancement and application of EIIR techniques. The authors would continue to track and contribute new studies in the project page https://github.com/jackyzengl/EIIR

X. Wu, T. Liu, X. Wang

Martina Bandte, Jens Ehlers, Shaheen Nourinejhad Zarghani et al.

Mechanically transmissible and stable viruses such as tobamoviruses, which include <i>Tobamovirus fructirugosum</i> (syn. tomato brown rugose fruit virus (ToBRFV), will continue to pose major challenges for farmers. Consequently, holistic hygiene concepts are being implemented to prevent the introduction and spread of these viruses. The decontamination of tires and castors was previously a weak point in many industrial hygiene concepts. For this reason, the ProfilGate clean-off zone was tested in combination with the disinfectant MENNO Florades for the decontamination of ToBRFV-contaminated tires. In total, 478 tire segments were sampled to evaluate the contamination of ToBRFV and the following decontamination of the tires. This treatment reliably removed high (4.5 µg/cm²), medium (0.45 µg/cm²), and low concentrations (0.045 µg/cm²) of ToBRFV from the tires, as shown by a bioassay. The reduction in necrotic local lesions on susceptible indicator plants <i>N. tabacum</i> cv. Xanthi NN was between 91.9 and 97.6%. The reduction in ToBRFV contamination largely depended on the length of the rollover distance, i.e., the number of tire rotations. For transport trolleys with polyamide and rubber tires, depletions of 97.4 and 97.6%, respectively, was determined after 16 rotations. For transport wagons with tires twice the size and polyurethane tread, the depletion was still at least 91% after eight wheel turns. Even in the case of gross soiling of the tires, the mean reduction from the different tread materials was 80.9 to 98.9%. Subsequent analysis of the clean-off zone revealed that ToBRFV did not accumulate, even when the contaminated tires were driven over several times, but was safely inactivated completely in the disinfectant solution. This provides growers with an effective tool for preventing the introduction and spread of ToBRFV.

Boyke Elyas Michael Sambeko, Nugroho Susanto, Azir Alfanan

Introduction: Manual handling activities are a main causative factor of low back pain injuries. Around 1.71 billion people worldwide live with musculoskeletal conditions, including low back pain. In the Southeast Asia region, it is estimated that around 369 million people experience low back pain. In Indonesia more than 11.9% of health workers are diagnosed with musculoskeletal disease and diagnostic specific for worker obtained 24.7%. The purpose of this study was to determine the dominant indicators of manual handling for low back pain. Method: Study design used is cross-sectional study. Sample was 62 subjects. The variables of low back pain were collected using a modified questionnaire adopted from the Oswestry Low Back Pain Disability Questionnaire. Data were analyzed with linear regression test for the main indicators contributing to low back pain. Result: Average age of workers is 26.06±7.28, education level senior high school 45%, under 4 years length of work 83.9%. Average manual handling variable is 613.45 ± 383.39, low back pain 6.48 ± 3.607. Manual handling is not significantly related to low back pain r = -0.182. Duration, frequency and load are significant in predicting low back pain. The factors of duration, frequency and lift were estimated to contribute 5.4% for low back pain. Conclusion: The main factors related to low back pain are lifting load for workers, while the factors of lifting duration and frequency are not significantly related to low back pain. The lifting load is the main factor contributing to low back pain.

Jiao Chen, Jiayi He, Fangfang Chen et al.

Industrial AI is transitioning from traditional deep learning models to large-scale transformer-based architectures, with the Industrial Internet of Things (IIoT) playing a pivotal role. IIoT evolves from a simple data pipeline to an intelligent infrastructure, enabling and enhancing these advanced AI systems. This survey explores the integration of IIoT with large models (LMs) and their potential applications in industrial environments. We focus on four primary types of industrial LMs: language-based, vision-based, time-series, and multimodal models. The lifecycle of LMs is segmented into four critical phases: data foundation, model training, model connectivity, and continuous evolution. First, we analyze how IIoT provides abundant and diverse data resources, supporting the training and fine-tuning of LMs. Second, we discuss how IIoT offers an efficient training infrastructure in low-latency and bandwidth-optimized environments. Third, we highlight the deployment advantages of LMs within IIoT, emphasizing IIoT's role as a connectivity nexus fostering emergent intelligence through modular design, dynamic routing, and model merging to enhance system scalability and adaptability. Finally, we demonstrate how IIoT supports continual learning mechanisms, enabling LMs to adapt to dynamic industrial conditions and ensure long-term effectiveness. This paper underscores IIoT's critical role in the evolution of industrial intelligence with large models, offering a theoretical framework and actionable insights for future research.

J. Ojima

involving the control of hazardous factors, such as harmful airborne chemical substances and physical factors, that workers encounter in their workplace and the prevention of health problems caused by such factors using science and engineering knowledge and techniques. This definition and purpose closely resemble those for industrial hygiene in other countries. However, the Japanese occupational health system has a unique administrative principle called the “three-management strategy”. Considering that industrial hygiene falls under occupational health, it is also required to follow this principle. The “three-management strategy” is the philosophy that workers’ health should be ensured by completing the following three matters: · Work management: Reducing the load on individual workers by optimizing their work hours, workload, work methods, work cycles, and work posture. Ensuring that workers wear the necessary protective equipment. · Working environment control: Assessing the risk of harmful substances, such as organic solvents, dust, heavy metals, and several physical factors, in the working environment. Controlling and eliminating them as best as possible using a ventilation system, etc. · Health care: Preventing health problems of workers by determining their health conditions through health checkups and implementing appropriate measures and health guidance based on the results of the checkups. The current Japanese industrial hygiene system is mainly responsible for providing the information and technologies necessary for work management and working environment control. Therefore, regardless of propriety, the Japanese industrial hygiene system tends to focus more on supporting administrative measures rather than basic scientific research. The “administrative control level” is one example of such characteristics of the Japanese industrial hygiene system and is one of the benchmarks for evaluating the risk of worker exposure. However, it is not the direct reference for personal exposure that many other countries have adopted. The correct definition of “administrative control level” is “the reference for evaluating the effectiveness of working environment control”, which is based on the notion that lowering the environmental concentration will consequently lower personal exposure. Thus, in principle, area sampling is adopted instead of personal sampling when measuring the concentration of hazardous chemical substances in working environments throughout Japan. The following outlines the brief history of industrial hygiene in Japan from its substantial birth to present-day circumstances. Many research subjects have now been added to the Japanese industrial hygiene, such as heat, noise, vibration, ionizing radiation, high-pressure gas, and hazardous rays. At the beginning, however, the most important issue for Japanese industrial hygiene was countermeasures against exposure to organic solvents, which prompted the addition of dust control to the issues a little later.

Sun Young Lee, Susie Park

Alva Hansson, Gregory Rankin, Oskari Uski et al.

Abstract Background Exposure to wood smoke has been shown to contribute to adverse respiratory health effects including airway infections, but the underlying mechanisms are unclear. A preceding study failed to confirm any acute inflammation or cell influx in bronchial wash (BW) or bronchoalveolar lavage (BAL) 24 h after wood smoke exposure but showed unexpected reductions in leukocyte numbers. The present study was performed to investigate responses at an earlier phase, regarding potential development of acute inflammation, as well as indications of cytotoxicity. Methods In a double-blind, randomised crossover study, 14 healthy participants were exposed for 2 h to filtered air and diluted wood smoke from incomplete wood log combustion in a common wood stove with a mean particulate matter concentration of 409 µg/m3. Bronchoscopy with BW and BAL was performed 6 h after exposure. Differential cell counts, assessment of DNA-damage and ex vivo analysis of phagocytic function of phagocytosing BAL cells were performed. Wood smoke particles were also collected for in vitro toxicological analyses using bronchial epithelial cells (BEAS-2B) and alveolar type II-like cells (A549). Results Exposure to wood smoke increased BAL lactate dehydrogenase (LDH) (p = 0.04) and reduced the ex vivo alveolar macrophage phagocytic capacity (p = 0.03) and viability (p = 0.02) vs. filtered air. BAL eosinophil numbers were increased after wood smoke (p = 0.02), while other cell types were unaffected in BW and BAL. In vitro exposure to wood smoke particles confirmed increased DNA-damage, decreased metabolic activity and cell cycle disturbances. Conclusions Exposure to wood smoke from incomplete combustion did not induce any acute airway inflammatory cell influx at 6 h, apart from eosinophils. However, there were indications of a cytotoxic reaction with increased LDH, reduced cell viability and impaired alveolar macrophage phagocytic capacity. These findings are in accordance with earlier bronchoscopy findings at 24 h and may provide evidence for the increased susceptibility to infections by biomass smoke exposure, reported in population-based studies.

Juan Ma, Yin Wan, Lingmin Song et al.

Abstract Background Nanoplastics (NPs) are omnipresent in our lives as a new type of pollution with a tiny size. It can enter organisms from the environment, accumulate in the body, and be passed down the food chain. Inflammatory bowel disease (IBD) is a nonspecific intestinal inflammatory disease that is recurrent and prevalent in the population. Given that the intestinal features of colitis may affect the behavior and toxicity of NPs, it is imperative to clarify the risk and toxicity mechanisms of NPs in colitis models. Methods and results In this study, mice were subjected to three cycles of 5-day dextran sulfate sodium (DSS) exposures, with a break of 7 to 11 days between each cycle. After the first cycle of DSS exposure, the mice were fed gavagely with water containing 100 nm polystyrene nanobeads (PS-NPs, at concentrations of 1 mg/kg·BW, 5 mg/kg·BW and 25 mg/kg·BW, respectively) for 28 consecutive days. The results demonstrated that cyclic administration of DSS induced chronic inflammation in mice, while the standard drug “5-aminosalicylic acid (5-ASA)” treatment partially improved colitis manifestations. PS-NPs exacerbated intestinal inflammation in mice with chronic colitis by activating the MAPK signaling pathway. Furthermore, PS-NPs aggravated inflammation, oxidative stress, as well as hepatic lipid metabolism disturbance in the liver of mice with chronic colitis. Conclusion PS-NPs exacerbate intestinal inflammation and injury in mice with chronic colitis. This finding highlights chronically ill populations’ susceptibility to environmental hazards, which urgent more research and risk assessment studies.

Jay Lee, Hanqi Su

The recent emergence of large language models (LLMs) demonstrates the potential for artificial general intelligence, revealing new opportunities in Industry 4.0 and smart manufacturing. However, a notable gap exists in applying these LLMs in industry, primarily due to their training on general knowledge rather than domain-specific knowledge. Such specialized domain knowledge is vital for effectively addressing the complex needs of industrial applications. To bridge this gap, this paper proposes a unified industrial large knowledge model (ILKM) framework, emphasizing its potential to revolutionize future industries. In addition, ILKMs and LLMs are compared from eight perspectives. Finally, the "6S Principle" is proposed as the guideline for ILKM development, and several potential opportunities are highlighted for ILKM deployment in Industry 4.0 and smart manufacturing.

M. Spence, P. M. Plehiers, A. George et al.

This paper provides an overview of airborne methylene diphenyl diisocyanate (MDI) concentrations in workplaces across North America and Europe. A total of 7649 samples were collected between 1998 and 2020 by producers of MDI during product stewardship activities at customer sites, primarily using validated OSHA or ISO sampling and analysis techniques. As would be expected from the low vapor pressure of MDI, 80% of the concentrations were less than 0.01 mg/m3 (1 ppb) and 93% were less than 0.05 mg/m3 (5 ppb). Respiratory protection is an integral part of Industrial Hygiene practices; therefore, its use was studied and summarized. While covering a variety of MDI applications, a large number of samples was obtained from composite wood manufacturing facilities, offering specific insight into potential exposures associated with different process sections and job types in this industry sector. Given the potential presence in industrial processes of MDI-containing dust or aerosols, future work should place increased emphasis on also investigating dermal exposure. The data reported in this paper provide valuable information for product stewardship and industrial hygiene purposes throughout the MDI-processing industry.

Catherine Sayles, Natalie Finnegan, T. Pike et al.

This article provides an overview of toluene diisocyanate (TDI) workplace air concentration data. Data were collected between 2005-2020 in workplaces across the United States, Canada, and the European Union by a number of different organizations, primarily using the sampling procedures published in OSHA Methods 42 and 5002. The data were then collated and organized by the International Isocyanate Institute. Air samples were collected from several market segments, with a large portion of the data (87%) from the flexible foam industry. The air samples (2534 in total) were categorized into “area” or “personal,” and the personal samples were subcategorized into “task,” “short term,” and “long term.” Most of the air sample concentrations (87%) were less than 5 ppb. However, the presence of airborne TDI greater than 5 ppb indicated the importance of respiratory protection in some situations; therefore, respirator use patterns were studied and summarized. Additionally, this article provides a summary of air sample concentrations at different flexible foam manufacturing job roles. The information on air sampling concentrations and respiratory protection during TDI applications collected in this paper could be useful for product stewardship and industrial hygiene purposes in the industries studied.

Sun-Mi Lee, M. Lim, Young-im Kim

This study attempts to identify trends in dental hygiene research by analyzing dental hygiene-related papers published in the Journal of the Korea Academia-Industrial Cooperation Society. A total of 90 dental hygiene-related papers published over the past 10 years (from 2011 to December 2020) were analyzed. Research trends were treated as real numbers and percentages by analysis content. Keyword analysis listed the keywords presented in green and visualized as pictures through word clouds. In the academic categories, social dental hygiene was the highest researched subject at 73.3%, followed by clinical dental hygiene (14.4%), basic dental hygiene (8.9%), and educational dental hygiene (3.3%). Considering the research methods used, quantitative research accounted for the majority of publications with 91.1%, whereas questionnaires were the most common among data collection methods (65.6%). Subjects enrolled in the studies included 20.0% general adults, 15.6% college students majoring in dental hygiene, 13.3% dental hygienists, and 10.0% adults with other occupations and non-major college students. Examining the data analysis methods applied revealed that regression analysis was the highest at 61.1% as a result of overlapping processing, followed by frequency analysis (54.4%), one-way batch variance analysis (48.9%), independent sample t-test (46.7%), and cross analysis (40.0%). This study analyzes the papers published in the Journal of KAIS and helps to set the direction of future dental hygiene research. We also establish the direction of research and provide a basis for the development of dental hygiene studies.