Fixed start method for repetitive project scheduling with simulated annealing.

This research deals with the high project completion variability by presenting a new method to decrease such variability in repetitive construction projects. To achieve this, a Fixed Start Method (FSM) -where the starts of each activity with a high level of probabilistic confidence for the planned project duration are fixed- was applied, where the high level of probabilistic confidence obtained was optimized with the use of the metaheuristic algorithm called Simulated Annealing (SA). This procedure evaluated the project completion in a case study based on the coefficient of variance (COV) of the resulting standard deviation, mean, and temperature selected for the SA.

Infection prevention and control in long-term care facilities in Florida: A needs assessment survey.

Background: Although several surveys of infection prevention and control (IPC) practices have been conducted in the United States, none have focused on the state of Florida, which has the fourth-largest number of certified nursing facilities in the country. A needs assessment survey was conducted to better understand the specific needs and practices of individuals responsible for IPC in long-term care facilities (LTCFs) in Florida.

Methods: In November and December of 2022, a 90-question online survey was distributed to individuals responsible for IPC activities at 3,690 LTCFs in Florida.

Development and implementation of learning collaboratives for infection prevention and control education in long-term care facilities.

Infections in long-term care facilities pose a critical challenge, with 1 to 3 million serious infections annually and up to 380,000 associated deaths. The vulnerability of aging populations and inadequate infection prevention and control programs underscore the need for intervention. This initiative provided tailored continuing education through 8 virtual learning collaboratives serving 541 infection preventionists.

Air Change Rate and SARS-CoV-2 Exposure in Hospitals and Residences: A Meta-Analysis.

As SARS-CoV-2 swept across the globe, increased ventilation and implementation of air cleaning were emphasized by the US CDC and WHO as important strategies to reduce the risk of inhalation exposure to the virus. To assess whether higher ventilation and air cleaning rates lead to lower exposure risk to SARS-CoV-2, 1274 manuscripts published between April 2020 and September 2022 were screened using key words "airborne SARS-CoV-2 or "SARS-CoV-2 aerosol". Ninety-three studies involved air sampling at locations with known sources (hospitals and residences) were selected and associated data were compiled.

An Open-Source Platform for Indoor Environment Monitoring with Participatory Comfort Sensing.

We present an open-source wireless network and data management system for collecting and storing indoor environmental measurements and perceived comfort via participatory sensing in commercial buildings. The system, called a personal comfort and indoor environment measurement (PCIEM) platform, consists of several devices placed in office occupants' work areas, a wireless network, and a remote database to store the data. Each device, called a PCFN (personal comfort feedback node), contains a touchscreen through which the occupant can provide feedback on their perceived comfort on-demand, and several sensors to collect environmental data.

Impact of the COVID-19 Pandemic on the U.S. Electricity Demand and Supply: An Early View From Data.

After the onset of the recent COVID-19 pandemic, a number of studies reported on possible changes in electricity consumption trends. The overall theme of these reports was that "electricity use has decreased during the pandemic, but the power grid is still reliable"-mostly due to reduced economic activity. In this paper, we analyze electricity data until the end of May 2020, examining both electricity demand and variables that can indicate stress on the power grid.

Prior storm experience moderates water surge perception and risk.

Background: How accurately do people perceive extreme water speeds and how does their perception affect perceived risk? Prior research has focused on the characteristics of moving water that can reduce human stability or balance. The current research presents the first experiment on people's perceptions of risk and moving water at different speeds and depths.

Methods: Using a randomized within-person 2 (water depth: 0.

Wind speed perception and risk.

Background: How accurately do people perceive extreme wind speeds and how does that perception affect the perceived risk? Prior research on human-wind interaction has focused on comfort levels in urban settings or knock-down thresholds. No systematic experimental research has attempted to assess people's ability to estimate extreme wind speeds and perceptions of their associated risks.

Method: We exposed 76 people to 10, 20, 30, 40, 50, and 60 mph (4.