Hasil untuk "Industrial hygiene. Industrial welfare"

Nur Septia Handayani, Berliana Devianti Putri, Iwan Muhamad Ramdan

Introduction: In Indonesia, over 1000 healthcare workers have died due to COVID-19. Healthcare workers face increased workloads and negative perceptions, including discrimination and verbal or physical violence, which may impact their quality of life. Health-related quality of life encompasses both physical (PCS) and mental (MCS) health components. This study aims to analyze the health-related quality of life of healthcare workers who are obliged to service during the COVID-19 pandemic in Indonesia and occupational health and safety factors based on the workplace location risk zone. Methods: A cross-sectional online survey was conducted involving 149 healthcare workers from several areas of Indonesia as representatives from the red and orange risk zones. Health-related quality of life was measured using the SF-36 questionnaire. Differences in health-related quality of life scores were analyzed using Mann-Whitney test base on COVID-19 risk Zone and PPE availability. Results: Healthcare workers in the lower-risk (orange zone) exhibited better mental health scores (MCS 75±15.5) compared to those in the high-risk zone (red zone) (MCS 66.2±15.2). Additionally, those who received a complete set of PPE from their workplace had better health-related quality of life scores workplace (MCS 76.9±14.2, PCS 77±16) than those who lacked such provision (MCS 73±17.6, PCS 82±13.4). Furthermore, healthcare workers with access to PCR testing at their workplace tended to have higher quality of life scores than those who only had access to rapid testing. Conclusion: These findings highlight how the Health System addresses the pandemic, particularly regarding the health and safety of healthcare workers

Eric Auyang, Mengzheng Ouyang, Adam Laycock et al.

Abstract Background Micro/nanoplastics (MNPs) are a commonly detected environmental contaminant in indoor and outdoor environments. Airborne MNPs are of various shapes and sizes, some of which are small enough to reach the deep lung if inhaled. Current research into the toxicity of airborne MNPs in the lung has only involved a small number of polymers and shapes due to their limited availability. The most commonly available are polystyrene spheres and to date, these have been used in the majority of studies, though their relevance to environmental MNPs is limited. To address this gap, we aimed to develop a method to fabricate MNPs of three environmentally relevant polymers, producing both micro- and nano-sized particles as well as fibres. Enhancing the consistency and accessibility of test materials will enable researchers to better investigate how size, shape, and polymer type influence lung toxicity, while also reducing variability introduced during fabrication. Results We successfully developed methods to fabricate MNPs of polyamide, polystyrene, and polyethylene terephthalate, as microplastics, nanoplastics, and fibres. MNPs were characterized for their chemical purity and size. The size of the fabricated MNPs were found to be of a respirable dimension. As a solvent-based method of preparation was used, leachates from the MNPs were analysed to check for contamination that could cause non-specific toxicity. These were found to have no effect on the metabolic activity of either THP-1 macrophages or transformed type-1 (TT1) epithelial cells. Conclusions This work provides pulmonary toxicologists with a method for the fabrication of MNPs and their physical and chemical characteristics. Their characteristics indicate they are a representative test material for experimental systems.

Maria Cláudia Cuzzullin, Marcelo Ivander Andrade Wanderley, Maria Eduarda Pérez-de-Oliveira et al.

Oral hygiene protocols and basic oral care (BOC) are paramount for patients undergoing cancer treatment, although based upon limited evidence from clinical trials. There are a range of oral care guidelines proposed in the literature mainly focusing on oral mucositis prevention. This systematic review aimed to define the best procedures and practices in the scope of oral hygiene protocols and BOC interventions for the prevention and/or treatment of oral complications in patients under cancer treatment. This systematic review was conducted according to the PRISMA guidelines, and the methods were previously established and registered in PROSPERO (CRD42022319455). A systematic search was completed in six databases (PubMed, Scopus, Web of Science, LILACS, and the Cochrane Library, and gray literature). Eleven studies were included in the qualitative analysis including non-randomized (n = 1) and randomized clinical trials (n = 6), and cohort studies (n = 4). The included studies showed the effectiveness of soft brushes for daily oral hygiene with topical fluoride, and the use of mouthwashes with 0.12% chlorhexidine, doxepin, and benzydamine and saline solutions, as well as dental scaling/prophylaxis in decreasing the severity of oral toxicities. Although not well-explored by well-designed clinical studies, BOC protocols may be effective in prevention oral toxicities from cancer therapy and are supported in multiple guidelines. This review synthesized available evidence on BOC in head and neck cancer patients, focusing on the effectiveness of hospital-based dental protocols during cancer treatment.

Solar Jin

Accelerating the deep transformation and upgrading of industrial structure and forming new quality productive forces are essential components for China to achieve the great rejuvenation of the Chinese Dream. After more than 40 years of rapid development, China has entered the "new normal" of development, making the advancement of new quality productive forces an urgent task. This paper reviews the evolution of China's industrial structure, argues the necessity for a new round of deep industrial transformation, and explores the impact of industrial structure transformation and upgrading on the level of new quality productive forces using various methods. The research findings are as follows:(1)The deep transformation and upgrading of the industrial structure can significantly promote the development of new quality productive forces, but there are obvious regional differences.(2)The core indicator of the improvement in the level of new quality productive forces is the enhancement of total factor productivity. Furthermore, this paper summarizes past industrial development processes and the challenges faced, and analyzes and discusses the potential challenges that may arise in promoting the development of new quality productive forces through deep industrial structure transformation, based on empirical research results.

Christian Internò, Andrea Castellani, Sebastian Schmitt et al.

Industrial Non-Intrusive Load Monitoring (NILM) is limited by the scarcity of high-quality datasets and the complex variability of industrial energy consumption patterns. To address data scarcity and privacy issues, we introduce the Synthetic Industrial Dataset for Energy Disaggregation (SIDED), an open-source dataset generated using Digital Twin simulations. SIDED includes three types of industrial facilities across three different geographic locations, capturing diverse appliance behaviors, weather conditions, and load profiles. We also propose the Appliance-Modulated Data Augmentation (AMDA) method, a computationally efficient technique that enhances NILM model generalization by intelligently scaling appliance power contributions based on their relative impact. We show in experiments that NILM models trained with AMDA-augmented data significantly improve the disaggregation of energy consumption of complex industrial appliances like combined heat and power systems. Specifically, in our out-of-sample scenarios, models trained with AMDA achieved a Normalized Disaggregation Error of 0.093, outperforming models trained without data augmentation (0.451) and those trained with random data augmentation (0.290). Data distribution analyses confirm that AMDA effectively aligns training and test data distributions, enhancing model generalization.

Marcos Soto

In industrial environments, data acquisition accuracy is crucial for process control and optimization. Wireless telemetry has proven to be a valuable tool for improving efficiency in well-testing operations, enabling bidirectional communication and real-time control of downhole tools. However, high sampling frequencies present challenges in telemetry, including data storage, transmission, computational resource consumption, and battery life of wireless devices. This study explores how optimizing data acquisition strategies can reduce aliasing effects and systematic errors while improving sampling rates without compromising measurement accuracy. A reduction of 80% in sampling frequency was achieved without degrading measurement quality, demonstrating the potential for resource optimization in industrial environments.

Svenja Offer, Sebastiano Di Bucchianico, Hendryk Czech et al.

Abstract Background The formation of secondary organic aerosols (SOA) by atmospheric oxidation reactions substantially contributes to the burden of fine particulate matter (PM2.5), which has been associated with adverse health effects (e.g., cardiovascular diseases). However, the molecular and cellular effects of atmospheric aging on aerosol toxicity have not been fully elucidated, especially in model systems that enable cell-to-cell signaling. Methods In this study, we aimed to elucidate the complexity of atmospheric aerosol toxicology by exposing a coculture model system consisting of an alveolar (A549) and an endothelial (EA.hy926) cell line seeded in a 3D orientation at the air‒liquid interface for 4 h to model aerosols. Simulation of atmospheric aging was performed on volatile biogenic (β-pinene) or anthropogenic (naphthalene) precursors of SOA condensing on soot particles. The similar physical properties for both SOA, but distinct differences in chemical composition (e.g., aromatic compounds, oxidation state, unsaturated carbonyls) enabled to determine specifically induced toxic effects of SOA. Results In A549 cells, exposure to naphthalene-derived SOA induced stress-related airway remodeling and an early type I immune response to a greater extent. Transcriptomic analysis of EA.hy926 cells not directly exposed to aerosol and integration with metabolome data indicated generalized systemic effects resulting from the activation of early response genes and the involvement of cardiovascular disease (CVD) -related pathways, such as the intracellular signal transduction pathway (PI3K/AKT) and pathways associated with endothelial dysfunction (iNOS; PDGF). Greater induction following anthropogenic SOA exposure might be causative for the observed secondary genotoxicity. Conclusion Our findings revealed that the specific effects of SOA on directly exposed epithelial cells are highly dependent on the chemical identity, whereas non directly exposed endothelial cells exhibit more generalized systemic effects with the activation of early stress response genes and the involvement of CVD-related pathways. However, a greater correlation was made between the exposure to the anthropogenic SOA compared to the biogenic SOA. In summary, our study highlights the importance of chemical aerosol composition and the use of cell systems with cell-to-cell interplay on toxicological outcomes. Graphical Abstract

Anna M. Krol, Marvin Erdmann, Rajesh Mishra et al.

In this paper, we show the design and implementation of a quantum algorithm for industrial shift scheduling (QISS), which uses Grover's adaptive search to tackle a common and important class of valuable, real-world combinatorial optimization problems. We give an explicit circuit construction of the Grover's oracle, incorporating the multiple constraints present in the problem, and detail the corresponding logical-level resource requirements. Further, we simulate the application of QISS to specific small-scale problem instances to corroborate the performance of the algorithm, and we provide an open-source repository with our code, available on github.com/anneriet/QISS . Our work shows how complex real-world industrial optimization problems can be formulated in the context of Grover's algorithm, and paves the way towards important tasks such as physical-level resource estimation for this category of use cases.

Tianyu Zhang, Chuanyu Xue, Jiachen Wang et al.

Industrial Internet of Things (IIoT) technologies have revolutionized industrial processes, enabling smart automation, real-time data analytics, and improved operational efficiency across diverse industry sectors. IIoT testbeds play a critical role in advancing IIoT research and development (R&D) to provide controlled environments for technology evaluation before their real-world deployment. In this article, we conduct a comprehensive literature review on existing IIoT testbeds, aiming to identify benchmark performance, research gaps and explore emerging trends in IIoT systems. We first review the state-of-the-art resource management solutions proposed for IIoT applications. We then categorize the reviewed testbeds according to their deployed communication protocols (including TSN, IEEE 802.15.4, IEEE 802.11 and 5G) and discuss the design and usage of each testbed. Driven by the knowledge gained during this study, we present suggestions and good practices for researchers and practitioners who are planning to design and develop IIoT testbeds for connectivity research.

Shinpei Hayashi, Takashi Kobayashi, Tadahisa Kato

This study reports the results of applying the cross-lingual bug localization approach proposed by Xia et al. to industrial software projects. To realize cross-lingual bug localization, we applied machine translation to non-English descriptions in the source code and bug reports, unifying them into English-based texts, to which an existing English-based bug localization technique was applied. In addition, a prototype tool based on BugLocator was implemented and applied to two Japanese industrial projects, which resulted in a slightly different performance from that of Xia et al.

He Wen

Cyberattacks on industrial control systems (ICS) have been drawing attention in academia. However, this has not raised adequate concerns among some industrial practitioners. Therefore, it is necessary to identify the vulnerable locations and components in the ICS and investigate the attack scenarios and techniques. This study proposes a method to assess the risk of cyberattacks on ICS with an improved Common Vulnerability Scoring System (CVSS) and applies it to a continuous stirred tank reactor (CSTR) model. The results show the physical system levels of ICS have the highest severity once cyberattacked, and controllers, workstations, and human-machine interface are the crucial components in the cyberattack and defense.

Hejia Zhou, Shantanu Pal, Zahra Jadidi et al.

The Industrial Internet of Things (IIoT) is a developing research area with potential global Internet connectivity, turning everyday objects into intelligent devices with more autonomous activities. IIoT services and applications are not only being used in smart homes and smart cities, but they have also become an essential element of the Industry 4.0 concept. The emergence of the IIoT helps traditional industries simplify production processes, reduce production costs, and improve industrial efficiency. However, the involvement of many heterogeneous devices, the use of third-party software, and the resource-constrained nature of the IoT devices bring new security risks to the production chain and expose vulnerabilities to the systems. The Distributed Denial of Service (DDoS) attacks are significant, among others. This article analyzes the threats and attacks in the IIoT and discusses how DDoS attacks impact the production process and communication dysfunctions with IIoT services and applications. This article also proposes a reference security framework that enhances the advantages of fog computing to demonstrate countermeasures against DDoS attacks and possible strategies to mitigate such attacks at scale.

Bu XuSong, Nie Hao, Zhang Zhan et al.

The working conditions of large-scale industrial systems are very complex. Once a failure occurs, it will affect industrial production, cause property damage, and even endanger the workers' lives. Therefore, it is important to control the operation of the system to accurately grasp the operation status of the system and find out the failure in time. The occurrence of system failure is a gradual process, and the occurrence of the current system failure may depend on the previous state of the system, which is sequential. The fault diagnosis technology based on time series can monitor the operating status of the system in real-time, detect the abnormal operation of the system within the allowable time interval, diagnose the root cause of the fault and predict the status trend. In order to guide the technical personnel to troubleshoot and solve related faults, in this paper, an industrial fault diagnosis system is implemented based on the cubic DUCG theory. The diagnostic model of the system is constructed based on expert knowledge and experience. At the same time, it can perform real-time fault diagnosis based on time sequence, which solves the problem of fault diagnosis of industrial systems without sample data.

Jonathan Külz, Matthias Mayer, Matthias Althoff

Modular Reconfigurable Robots (MRRs) represent an exciting path forward for industrial robotics, opening up new possibilities for robot design. Compared to monolithic manipulators, they promise greater flexibility, improved maintainability, and cost-efficiency. However, there is no tool or standardized way to model and simulate assemblies of modules in the same way it has been done for robotic manipulators for decades. We introduce the Toolbox for Industrial Modular Robotics (Timor), a Python toolbox to bridge this gap and integrate modular robotics into existing simulation and optimization pipelines. Our open-source library offers model generation and task-based configuration optimization for MRRs. It can easily be integrated with existing simulation tools - not least by offering URDF export of arbitrary modular robot assemblies. Moreover, our experimental study demonstrates the effectiveness of Timor as a tool for designing modular robots optimized for specific use cases.

Tri Yuliyatin, Siti Dewi Ismayatun

Introduction: Noise is any unwanted sound in the work environment that comes from production machines that can cause various health problems. Noise can also cause an increase in blood pressure as a physiological reaction of the body. Apart from the noise factor, an increase in workers' blood pressure can also be triggered by several factors such as worker characteristics (worker’s nutritional status, work experience and work duration). The purpose of this study is to examine whether there is a relationship between noise and worker characteristics and blood pressure. Methods: The design of this study was cross-sectional with a descriptive observational method. The sample in this study was the total population of workers in the company's production area, as many as 42 respondents. Workers' blood pressure was measured before and after work, work environment noise was measured using sound level meter, and questionnaires were used to determine individual characteristics. Results: The increase in blood pressure before and after work occurred most in the unit with the highest noise intensity. The increase in blood pressure before and after work also occurred in the categories of the longest work period and the longest work duration in a day. Conclusion: There was a strong correlation between noise and systolic blood and a weak relationship with diastole. Nutritional status had a weak relationship with blood pressure. Period of work and blood pressure had a moderate relationship, and duration of work and blood pressure had a strong relationship.   Keywords: blood pressure, individual characteristics, noise

María del Carmen Vizcaíno Alonso, María de Lourdes Marrero Santos, Yuleimis Montero Vizcaíno et al.

Introducción: El pterigión es una enfermedad oftalmológica frecuente a nivel mundial, considerado como un problema de salud pública. Objetivo: Determinar los factores laborales asociados al pterigión en un grupo de trabajadores de la agricultura y de la construcción atendidos en centros hospitalarios del municipio Playa, de La Habana, entre mayo de 2017 y mayo de 2018. Material y método: Se realizó un estudio observacional, descriptivo y transversal en una muestra intencional no probabilística de 98 constructores y 82 obreros agrícolas, que fueron sometidos a un pesquisaje oftalmológico en el municipio Playa durante el periodo 2017-2018. Se llevó a cabo la exploración ocular y B biomicroscópica con lámpara de hendidura, una entrevista estructurada atendiendo a los objetivos del estudio, así como la observación científica de las condiciones de trabajo en las áreas investigadas. Se clasificaron en 2 grupos, uno con pterigión y otro sin el mismo. Se cumplieron con los principios éticos de investigación. Resultados: Predominó el sexo masculino y el grupo de edades de 41 a 60 años en un 63,3 %. La frecuencia de pterigión en los constructores fue de 58 casos (59,2 %) y en los agricultores de 20 (24,4 %); el trastorno prevaleció en trabajadores con más de 15 años de antigüedad. Preponderó el pterigión grado II; los más vulnerables a la exposición a polvo fueron los albañiles y montadores. Conclusiones: Se determinaron como factores laborales asociados al pterigión en agricultores y constructores el polvo y el tiempo prolongado de exposición. Introduction: Pterygium is a common ophthalmologic disease worldwide, considered a public health problem. Objective: To determine the occupational factors associated with pterygium in a group of workers of the agriculture and construction that were attended in hospitals of Playa municipality, of Havana City, from May 2017 to May 2018. Material and method: It was carried out an observational and transverse descriptive study in an intentional sample, no probabilistic, of 98 builders and 82 agricultural workers that were subjected to an ophthalmologic screening in the municipality of Playa during 2017-2018. It was carried out the ocular and biomicroscopic exploration with fissure lamp, a structured interview assisting to the objectives of the study; as well as the scientific observation of the work conditions in the investigated areas. They were classified into two groups: one with pterygium and the other without this. They have fulfilled the ethical principles of investigation. Results: It prevailed the masculine sex and the age group from 41 to 60 years old in 63,3 %. Pterygium frequency in builders was 58 cases (59,2 %) and in farmers 20 (24,4 %); the illness prevailed in workers with more than 15 years of work was preponderant pterygium of degree II, the most vulnerable to the exhibition of the dust were the bricklayers and linkers. Conclusions: Dust and prolonged exposure time were determined as occupational factors associated with pterygium in farmers and builders.

Ciaran Hughes, Doug Finke, Dan-Adrian German et al.

Quantum information science and technology (QIST) has progressed significantly in the last decade, such that it is no longer solely in the domain of research labs, but is now beginning to be developed for, and applied in, industrial applications and products. With the emergence of this new quantum industry, a new workforce trained in QIST skills and knowledge is needed. To help support education and training of this workforce, universities and colleges require knowledge of the type of jobs available for their students and what skills and degrees are most relevant for those new jobs. Additionally, students need to know how to tailor their degrees to best align with the current needs of the quantum industry. We report on the results from a survey of 57 companies in the quantum industry, with the goal of elucidating the jobs, skills, and degrees that are relevant for this new workforce. We find a range of job opportunities from highly specific jobs, such as quantum algorithm developer and error correction scientist, to broader jobs categories within the business, software, and hardware sectors. These broader jobs require a range of skills, most of which are not quantum related. Further, except for the highly specific jobs, companies that responded to the survey are looking for a range of degree levels to fill these new positions, from bachelors to masters to PhDs. With this knowledge, students, instructors, and university administrators can make informed decisions about how to address the challenge of increasing the future quantum workforce.

Simon Daniel Duque Anton, Daniel Fraunholz, Daniel Krohmer et al.

Operational Technology (OT)-networks and -devices, i.e. all components used in industrial environments, were not designed with security in mind. Efficiency and ease of use were the most important design characteristics. However, due to the digitisation of industry, an increasing number of devices and industrial networks is opened up to public networks. This is beneficial for administration and organisation of the industrial environments. However, it also increases the attack surface, providing possible points of entry for an attacker. Originally, breaking into production networks meant to break an Information Technology (IT)-perimeter first, such as a public website, and then to move laterally to Industrial Control Systems (ICSs) to influence the production environment. However, many OT-devices are connected directly to the Internet, which drastically increases the threat of compromise, especially since OT-devices contain several vulnerabilities. In this work, the presence of OT-devices in the Internet is analysed from an attacker's perspective. Publicly available tools, such as the search engine Shodan and vulnerability databases, are employed to find commonly used OT-devices and map vulnerabilities to them. These findings are grouped according to country of origin, manufacturer, and number as well as severity of vulnerability. More than 13000 devices were found, almost all contained at least one vulnerability. European and Northern American countries are by far the most affected ones.

Richard T Jennings

I n Classrooms and Clinics: Urban Schools and the Protection and Promo­ tion of Child Health, 1870-1930, historian Richard A . Meckel provides current historians of medicine, education, and child welfare with what he accurately describes as a "comprehensive history and analysis" of late nineteenth and early twentieth century attempts to provide health services to underserved children through public schools. These efforts took place within the context of a growing "sociomedical and educa­ tional discourse" of school hygiene that provided inspiration for the development of a wide range of new programs and policies (p. 2). T h i s discourse, and the school hygiene movement that accompanied it, made public schools—in particular urban public schools—a site of ongoing negotiations regarding the extent to which the school, and therefore the state, was responsible for the physical and mental health of the vast numbers of children who were now required by law to attend it (pp. 2-4) . Meckel shows how, as these negotiations progressed from 1880 to 1930, schools first added a variety of new health-focused ser­ vices, programs, and personnel to their repertoires, and then eliminated or curtailed much of what they had established, ultimately shifting the responsibility for children's health to patents and limiting the provision of health-related services primarily to the private sector. Meckel intentionally focused this study on urban primary schools and school children because they were the "first and dominant concern of school hygienists" (p. 8). Though some school hygiene reform activ­ ities took place outside of this context, it was in the urban setting that concerns about school children were most salient due to connections made to broader anxieties about the potentially negative impact of ur­ ban industrial life on the mental and physical health of city residents, children in particular. Furthermore, because secondary school atten­ dance was optional, the population overall was significandy smaller, and contained few children of poor or working-class families; thus, the challenge of meeting the needs of children with physical and mental health challenges, a great concern of school hygienists, was minimized in that setting (pp. 8-9). I n six chapters and an epilogue, Classrooms and Clinics traces the de­ velopment "the school hygiene discourse and attendant reform move­ ment" through four "overlapping stages" and follows the legacy of these efforts into the following decades (p. 6). Chapter 1 chronicles the first

Jiteng Ma, Adnan Aijaz, Mark Beach

Millimeter wave (mmWave) communication has recently attracted significant attention from both industrial and academic communities. The large bandwidth availability as well as low interference nature of mmWave spectrum is particularly attractive for industrial communication. However, inherent challenges such as coverage and blockage of mmWave communication cause highly fluctuated channel quality. This paper explores wireless medium access control (MAC) schedulers for mmWave-based industrial wireless applications. Our objective is to design a high-performance and enhanced fairness MAC scheduling algorithm that responds rapidly to channel variations. The key contribution of our work is a method to modify the standard proportional fair (SPF) scheduler. It introduces more flexibility and dynamic properties. Compared to the SPF, our enhanced proportional fair (EPF) scheduler not only improves the priority for users in poor channel conditions but also accelerates the reaction time in fluctuated channel conditions. By providing higher fairness for all users and enhancing system robustness, it particularly adapts to the scatter-rich industrial mmWave communication environment. Through extensive performance evaluation based on the widely accepted network simulator (ns-3), we show that the new scheduler achieves better performance in terms of delivering ultra-low latency and reliable services over mmWave-based industrial communication.