OBJECTIVE: Air quality has been shown to impact the rates of fungal infection of the airway, causing diseases such as acute invasive fungal rhinosinusitis (AIFRS), particularly in immunocompromised patients. We theorize that patients with hematologic malignancies in units with aging air handling units (AHUs) have a higher attack rate of AIFRS.
METHODS: Retrospective chart review identified patients with hematologic malignancy and AIFRS in two distinct and equal time periods between 2013 and 2022, representing the presence of aging AHUs and new AHUs, respectively. Cubic feet per minute (CFM) air flows, AIFRS attack rates, and clinical data were compared between the two groups and statistical analyses performed.
RESULTS: The older AHUs produce air flow of 27,610 CFM and the newer AHUs produce air flow of 80,000 CFM. There were 18 patients with air supplied by older AHUs and 7 patients with air supplied by new AHUs who developed AIFRS. There was a significantly higher AIFRS attack rate for patients supplied by the older AHUs compared with patients supplied by newer AHUs (p = 0.033). The patients supplied by the older AHUs tended to be younger. The white blood cell counts, absolute neutrophil counts, and the mean time to diagnosis did not differ between the two groups.
CONCLUSIONS: To our knowledge, this is the first study to examine AIFRS in immunocompromised patients\' inpatient environment. Further research should explore whether higher CFM AHUs can decrease this disease among our most vulnerable patients.
METHODS: 3 Laryngoscope, 2024.

The operational building data presented in this paper has been collected from six office rooms located in an office building (research and educational purposes) located on the main campus of Aalborg University in Denmark. The dataset consists of measurements of occupancy, indoor environmental quality, room-level and system-level heating, ventilation and lighting operation at a 5 min resolution. The indoor environmental quality and building system data were collected from the building management system. The occupancy level in each monitored room is established from the computer vision-based analysis of wall-mounted camera footage of each office. The number of people present in the room is estimated using the YOLOv5s image recognition algorithm. The present dataset can be used for occupancy analysis, indoor environmental quality investigations, machine learning, and model predictive control.

Building maintenance encompasses multiple tightly inter-connected agents (e.g., technicians, occupants, supervisors, and equipment). Variable working conditions and limited resources may affect the safety and sustainability of the activities. Although recent studies have explored how complex systems can perform resilient behavior in facing the complexity of everyday activities, the factors that effectively contribute to resilient performance are still paired with limited empirical evidence. We studied the performance of the maintenance team during sudden breakdowns of air-conditioning devices in a large university campus, using the Functional Resonance Analysis Method (FRAM). A FRAM diagram containing 30 functions was organized including six macro-cognitive functions (expertise, sensemaking, communication, coordination, collaboration, and adaptation/improvisation), examining their role in anticipating, and responding to emergencies, and eight functional units that are directly impacted by disturbances were analyzed in more detail. Results indicate that macro-cognitive functions can greatly impact the functionality of the maintenance team in pursuit of their goals. Moreover, we noted those macro-cognitive functions here analyzed depend on each other to produce resilient performance.

Increasingly large and frequent wildfires affect air quality even indoors by emitting and dispersing fine/ultrafine particulate matter known to pose health risks to residents. With this health threat, we are working to help the building science community develop simplified tools that may be used to estimate impacts to large numbers of homes based on high-level housing characteristics. In addition to reviewing literature sources, we performed an experiment to evaluate interventions to mitigate degraded indoor air quality. We instrumented one residence for one week during an extreme wildfire event in the Pacific Northwest. Outdoor ambient concentrations of PM2.5 reached historic levels, sustained at over 200 μg/m3 for multiple days. Outdoor and indoor PM2.5 were monitored, and data regarding building characteristics, infiltration, and mechanical system operation were gathered to be consistent with the type of information commonly known for residential energy models. Two conditions were studied: a high-capture minimum efficiency rated value (MERV 13) filter integrated into a central forced air (CFA) system, and a CFA with MERV 13 filtration operating with a portable air cleaner (PAC). With intermittent CFA operation and no PAC, indoor corrected concentrations of PM2.5 reached 280 μg/m3, and indoor/outdoor (I/O) ratios reached a mean of 0.55. The measured I/O ratio was reduced to a mean of 0.22 when both intermittent CFA and the PAC were in operation. Data gathered from the test home were used in a modeling exercise to assess expected I/O ratios from both interventions. The mean modeled I/O ratio for the CFA with an MERV 13 filter was 0.48, and 0.28 when the PAC was added. The model overpredicted the MERV 13 performance and underpredicted the CFA with an MERV 13 filter plus a PAC, though both conditions were predicted within 0.15 standard deviation. The results illustrate the ways that models can be used to estimate indoor PM2.5 concentrations in residences during extreme wildfire smoke events.

Buildings are constructed and operated to satisfy human needs and improve quality of life. Good indoor air quality (IAQ) and thermal comfort are prerequisites for human health and well-being. For their provision, buildings often rely on heating, ventilation, and air conditioning (HVAC) systems, which may lead to higher energy consumption. This directly impacts energy efficiency goals and the linked climate change considerations. The balance between energy use, optimum IAQ and thermal comfort calls for scientifically solid and well-established limit values for exposures experienced by building occupants in indoor spaces, including homes, schools, and offices. The present paper aims to appraise limit values for selected indoor pollutants reported in the scientific literature, and to present how they are handled in international and national guidelines and standards. The pollutants include carbon dioxide (CO2), formaldehyde (CH2O), particulate matter (PM), nitrogen dioxide (NO2), carbon monoxide (CO), and radon (Rn). Furthermore, acknowledging the particularly strong impact on energy use from HVAC, ventilation, indoor temperature (T), and relative humidity (RH) are also included, as they relate to both thermal comfort and the possibilities to avoid moisture related problems, such as mould growth and proliferation of house dust mites. Examples of national regulations for these parameters are presented, both in relation to human requirements in buildings and considering aspects related to energy saving. The work is based on the Indoor Environmental Quality (IEQ) guidelines database, which spans across countries and institutions, and aids in taking steps in the direction towards a more uniform guidance for values of indoor parameters. The database is coordinated by the Scientific and Technical Committee (STC) 34, as part of ISIAQ, the International Society of Indoor Air Quality and Climate.

Thermal comfort is crucial to well-being and work productivity. Human thermal comfort is mainly controlled by HVAC (heating, ventilation, air conditioning) systems in buildings. However, the control metrics and measurements of thermal comfort in HVAC systems are often oversimplified using limited parameters and fail to accurately control thermal comfort in indoor climates. Traditional comfort models also lack the ability to adapt to individual demands and sensations. This research developed a data-driven thermal comfort model to improve the overall thermal comfort of occupants in office buildings. An architecture based on cyber-physical system (CPS) is used to achieve these goals. A building simulation model is built to simulate multiple occupants\' behaviors in an open-space office building. Results suggest that a hybrid model can accurately predict occupants\' thermal comfort level with reasonable computing time. In addition, this model can improve occupants\' thermal comfort by 43.41% to 69.93%, while energy consumption remains the same or is slightly reduced (1.01% to 3.63%). This strategy can potentially be implemented in real-world building automation systems with appropriate sensor placement in modern buildings.

This dataset was developed between May 2018 and April 2019 to evaluate the building performance of a nearly zero-energy office building in a temperate oceanic climate. This dataset refers to the research paper titled \"Performance evaluation of a nearly zero-energy office building in temperate oceanic climate based on field measurements\". The data provides the evaluation of air temperature, energy use, and greenhouse gas emissions from the reference building in Brussels, Belgium. The importance of the dataset lies in its unique data collection approach that provides detailed information on electricity and natural gas use, along with indoor and outdoor ambient temperature values. The methodology involves compiling and refining the data from the energy management system installed in Clinic Saint-Pierre, Brussels, Belgium. Hence, the data is unique and not available on any other public platforms. The methodology followed in this paper to produce the data was an observational approach focused on field measurements of air temperature and energy performance. This data paper will be beneficial for scientists working on the implementation of thermal comfort strategies and energy efficiency measures toward energy-neutral buildings while accounting for the performance gaps.

Long-term care facilities (LTCFs) are constantly working to reduce sources of infectious pathogens to improve resident care. LTCF residents are particularly susceptible to health care-associated infections (HAIs), many of which originate from the air. An advanced air purification technology (AAPT) was designed to comprehensively remediate volatile organic compounds (VOCs) and all airborne pathogens including all airborne bacteria, fungi, and viruses. The AAPT contains a unique combination of proprietary filter media, high-dose ultraviolet germicidal irradiation, and high-efficiency particulate air (HEPA) filtration.
The AAPT was installed in an LTCF\'s heating, ventilation, and air-conditioning ductwork and 2 floors were studied: the study floor with comprehensive AAPT remediation and HEPA filtration and the control floor with only HEPA filtration. VOC loading and airborne and surface pathogen loading were measured in 5 locations on both floors. Clinical metrics such as HAI rates were also studied.
There was a statistically significant 98.83% reduction in airborne pathogens, which are responsible for illness and infection, an 89.88% reduction in VOCs, and a 39.6% reduction in HAIs. Surface pathogen loading was reduced in all locations except 1 resident room where the detected pathogens were linked to direct touch.
The removal of airborne and surface pathogens by the AAPT led to a dramatic reduction in HAIs. The comprehensive removal of airborne contaminants has a direct positive impact on resident wellness and quality of life. It is critical that LTCFs incorporate aggressive airborne purification methods with their current infection control protocols.

Malignant pleural mesothelioma (MPM) involves the uncontrolled growth of mesothelial cells that form the lining of pleural serous layers. MPM has been linked with asbestos exposure in mining and manufacturing occupations with an unforgiving prognosis of 4-18 months. In this case report, we present a 56-year-old male with a significant past medical history of hypertension, hyperlipidemia, hepatic steatosis, and ulcerative colitis who presented to the emergency department for worsening cough, eight-pound weight loss over the previous year, night sweats, and fatigue. The patient was admitted due to right pleural effusion with lower lobe collapse seen on imaging; upon diagnostic workup including pleural biopsy, results were consistent with malignant mesothelioma of the epithelioid type. Over the course of six months post-diagnosis, the patient underwent multiple hospital admissions due to acute hypoxic respiratory failure from the segmental left upper lobe and subsegmental right upper lobe pulmonary emboli, recurrent pleural effusion, and anemia. Given the aggressive nature of MPM, the patient was determined not to be a surgical candidate and underwent palliative chemotherapy sessions until his passing. As the patient worked in heating/ventilation/air conditioning with asbestos exposure, taking a full occupational history was crucial. MPM is relatively rare; however, the incidence has increased over the last decade due to tumor development lag time post-asbestos exposure and an increase in do-it-yourself projects. There is no cure for MPM. Multimodal treatment approaches with surgery, chemotherapy, radiotherapy, and immunotherapy have been noted in the literature.

UNASSIGNED: The global SARS-CoV-2 pandemic ushered in a new way of life in a short time, with many lasting impacts that have yet to be fully realized. This pandemic threat landscape resulted in massive efforts to increase safety, minimize person-to-person transmission, and rethink how society approaches personal and collective health issues. The buildings and environments in which we live, work, and learn now became environments that pose new risks. As a result, many institutions began asking what improvements could be made to those environments to reduce the spread of infection of SARS-CoV-2 and other infectious diseases.
UNASSIGNED: The authors conducted a review of past projects and emerging technologies to evaluate which applications in containment laboratories could represent an example of how engineering controls can improve safety by protecting the workers inside the laboratories as well as the public interfacing the laboratories.
UNASSIGNED: Engineering controls, technology, and safety systems are hallmarks of modern containment laboratories that may provide some context into extrapolating these elements into non-laboratory environments, providing there is coordination with a risk assessment methodology. In this study, the authors explore new technologies proposed for controlling SARS-CoV-2 in heating, ventilation, and air conditioning systems, and potential impacts to the operations and maintenance of those systems.