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Mental health wellbeing is a critical element in the overall wellbeing of an individual. Severe mental health issues are directly connected with the individual's functioning and negatively impacts the quality of life. Inpatient psychiatric hospitalization does help significantly in stabilizing the acute serious mental health problems; however, the utility of community partial hospitalization program (PHP) has not been studied extensively. We undertook this study to assess the usefulness of community partial hospitalization program (PHP) in reducing severity of psychosomatic symptoms of patients; to study the epidemiology of the referred patients; and to elucidate the characteristics and predictors of psychosomatic symptom response. 164 patients were assessed by a baseline Behavioral and Symptom Identification Scale-32 (BASIS-32) at a tertiary healthcare center, out of which 82 patients subsequently followed up and were assessed using the same scale and the data was then stratified and compiled. Out of the initial 164 patients, at a 50% adherence rate, 13 patients showed an improvement greater than 30% with a significant co-relation to the race of the patients. Partial Hospitalization Program proved to be moderately effective in improving psychosomatic symptoms, with better results noticed in the White/Caucasian race. We need to consider several variables before generalizing this finding and more studies are needed in this area. However, we are able to highlight this valuable tool in addressing the severe mental health issues in a community-based populations.

Illicit substance use overlapping with mental illness has always been a huge clinical concern. The same extends true for ADHD and substance use overlap as both these conditions alone and together can negatively affect the individual’s quality of life. It is important to understand and identify any potential gaps in-regards to the need vs receiving the treatment for these co-occurring disorders. The data was collected from Board certified, USA based adult psychiatrist. No recent data available that studies the prescribing trends among physicians who treat adult ADHD and substance use disorders. It is important to consider risk factors that may lead for ADHD individuals to use more substances. An important clinical concern is ADHD and substance use overlap decreases the life span by increasing mortality. It is crucial to treat both these conditions by using evidence-based practice norms. We highlight the factors that lead to clinical decision making while treating adult ADHD and co-occurring substance use disorders. Treating these individuals is often times challenging; many times, they are facing challenges in several domains of their lives such as homelessness, no medical care, financial constraints, no social support, unplanned pregnancies, and domestic violence/staying in an abusive relationship, to name a few.

The aim of this review is to discuss benefits of mindfulness for the treatment of attention deficit hyperactivity disorder (ADHD) in adolescents. ADHD is a developmental disorder that persists into adulthood for most of the cases. ADHD, an often lifelong condition, is characterized by prevalent impairment in numerous domains such as mental health, occupational, academic, and many more. Pharmacological treatment option (e.g., stimulant) is a core of treatment for ADHD. However, even after receiving proper pharmacological medications, numerous patients continue to experience impairment or inadequate symptom reduction. Moreover, many patients also desire to reduce consumption of medicines and pursue alternative approaches. Among available non-pharmacological treatment options, mindfulness meditation training has established mounting clinical interest and empirical support. Various studies have reported effects of mindfulness training in adolescents with ADHD. This review will summarize the rationale behind the use of mindfulness training in adolescents with ADHD. Moreover, this review will also explain outcomes from various studies recommending use of mindfulness training as a treatment of ADHD in adolescents.

The main purpose of this review is to understand how attention deficit hyperactivity disorder (ADHD) affects geriatrics (elderly population). ADHD is a common neuropsychiatric condition, which is not well studied in geriatrics. Current literature does not have too much information on effects of ADHD in geriatrics. ADHD in elderly population is accompanied by various comorbidities such as anxiety and depression. This review will provide an overview of existing literature on prevalence of ADHD in elderly population along with the comorbidities and available treatment options for the same.

The main objective of the present review was to give an overall idea regarding the impacts of ADHD on driving and road rage. In addition, we have also discussed the possible treatment options for ADHD drivers in brief. Attention deficit hyperactivity disorder (ADHD) is a type of developmental disorder, which is characterized by hyperactivity, impulsivity, and inattention. ADHD affects around 2.5% of the population. Individuals with ADHD have numerous impairments of cognitive, emotional, and social functioning. And this affects their day-to-day life. One of the major daily activities, which get affected due to ADHD, is driving. Individuals with ADHD have been reported to be involved in greater number of driving accidents due to their aggressive behavior and anger. Moreover, it has been related with augmented number of traffic violations, associated injuries, and increased chances of dying during a driving accident. In the current review, we have discussed how ADHD affects driving behavior and leads to road rage.

Roadside vegetation has been shown to impact downwind, near-road air quality, with some studies identifying reductions in air pollution concentrations and others indicating increases in pollutant levels when vegetation is present. These widely contradictory results have resulted in confusion regarding the capability of vegetative barriers to mitigate near-road air pollution, which numerous studies have associated with significant adverse human health effects. Roadside vegetation studies have investigated the impact of many different types and conditions of vegetation barriers and urban forests, including preserved, existing vegetation stands usually consisting of mixtures of trees and shrubs or plantings of individual trees. A study was conducted along a highway with differing vegetation characteristics to identify if and how the changing characteristics affected downwind air quality. The results indicated that roadside vegetation needed to be of sufficient height, thickness, and coverage to achieve downwind air pollutant reductions. A vegetation stand which was highly porous and contained large gaps within the stand structure had increased downwind pollutant concentrations. These field study results were consistent with other studies that the roadside vegetation could lead to reductions in average, downwind pollutant concentrations by as much as 50% when this vegetation was thick with no gaps or openings. However, the presence of highly porous vegetation with gaps resulted in similar or sometimes higher concentrations than measured in a clearing with no vegetation. The combination of air quality and meteorological measurements indicated that the vegetation affects downwind pollutant concentrations through attenuation of meteorological and vehicle-induced turbulence as air passes through the vegetation, enhanced mixing as portions of the traffic pollution plume are blocked and forced over the vegetation, and through particulate deposition onto leaf and branch surfaces. Computational fluid dynamic modeling highlighted that density of the vegetation barrier affects pollutant levels, with a leaf area density of 3.0 m(2) m(−3) or higher needed to ensure downwind pollutant reductions for airborne particulate matter. These results show that roadside bushes and trees can be preserved or planted along highways and other localized pollution sources to mitigate air quality and human health impacts near the source if the planting adheres to important characteristics of height, thickness, and density with full coverage from the ground to the top of the canopy. The results also highlight the importance of planting denser vegetation and maintaining the integrity and structure of these vegetation barriers to achieve pollution reductions and not contribute to unintended increases in downwind air pollutant concentrations.

Many countries have adopted portable emissions measurement system (PEMS) testing in their latest regulations to measure real-world vehicular emissions. However, its fleetwide implementation is severely limited by the high equipment costs and lengthy setup procedures, posing a need to develop more cost-effective, efficient emission measurement methods, such as mobile chasing tests. We conducted conjoint PEMS-chasing experiments for twelve heavy-duty diesel vehicles (HDDTs) to evaluate the accuracy of mobile measurement results. Two data processing approaches were integrated to automate the calculations of fuel consumption-based emission factors of nitrogen oxides (NO(X)). With a total of 245 plume chasing tests conducted, and then averaged by vehicle and road types, we found that the relative errors of vehicle-specific emission factors using an algorithm developed for this project were within approximately ± 20% of the PEMS results for all tested vehicles. Stochastic simulations suggested reasonable results could be obtained using fewer chasing tests per vehicle (e.g., 71% for freeways and 94% for local road, equivalent to two chase tests per vehicle). This study improves the understanding of the accuracy of the mobile chasing method, and provides a practical approach for real-time emission measurements for future scaled-up mobile chasing studies.

Nitrogen dioxide (NO2) not only is linked to adverse effects on the respiratory system but also contributes to the formation of ground-level ozone (O3) and fine particulate matter (PM2.5). Our curbside monitoring data analysis in Detroit, MI, and Atlanta, GA, strongly suggests that a large fraction of NO2 is produced during the “tailpipe-to-road” stage. To substantiate this finding, we designed and carried out a field campaign to measure the same exhaust plumes at the tailpipe-level by a portable emissions measurement system (PEMS) and at the on-road level by an electric vehicle-based mobile platform. Furthermore, we employed a turbulent reacting flow model, CTAG, to simulate the on-road chemistry behind a single vehicle. We found that a three-reaction (NO–NO2–O3) system can largely capture the rapid NO to NO2 conversion (with time scale ≈ seconds) observed in the field studies. To distinguish the contributions from different mechanisms to near-road NO2, we clearly defined a set of NO2/NOx ratios at diffe...

Mobile monitoring is a strategy to characterize spatially and temporally variable air pollution in areas near sources. EPA’s Geospatial Measurement of Air Pollution (GMAP) vehicle – an all-electric vehicle is outfitted with a number of measurement devices to record real-time concentrations of particulate matter and gaseous pollutants – was used to map air pollution levels near the Port of Charleston in South Carolina. High-resolution monitoring was performed along driving routes near several port terminals and rail yard facilities, recording geospatial coordinates and concentrations of pollutants including black carbon, size-resolved particle count ranging from ultrafine to coarse (6 nm–20 μm), carbon monoxide, and nitrogen dioxide. Additionally, a portable meteorological station was used to characterize local conditions. The primary objective of this work was to characterize the impact of port facilities on local scale air quality. The study determined that elevated concentration measurements of black carbon and PM correlated to periods of increased port activity and a significant elevation in concentration was observed downwind of ports. However, limitations in study design prevented a more complete analysis of the port effect.

With increasing population, rapid urbanization, and increased migration to cities, the local impacts of increasing transportation and industrial-related air pollution are of growing concern worldwide. Elevated air pollution concentrations near these types of sources have been linked to adverse health effects including acute and chronic respiratory and cardiovascular diseases. Mobile monitoring has proven to be a useful technique to characterize spatial variability of air pollution in urban areas and pollution concentration gradients from specific sources. A study was conducted in the Kansas City, Kansas (USA) metropolitan area using mobile monitoring to characterize the spatial variability and gradients of air pollutants to identify the contribution of multiple sources on community-level air quality in a complex urban environment. Measurements focused on nitrogen dioxide (NO2), black carbon (BC), and ultrafine particulate matter (UFP). Mobile monitoring showed that median concentrations of these pollutants ranged by up to a factor of three between the communities, with individual measurements ranging over an order of magnitude within the community. Evaluating these air quality measurements with wind direction data highlighted the influence of specific and combinations of air pollution sources on these elevated concentrations, which can provide valuable information to environmental and public health officials in prioritizing and implementing cost-effect air quality management strategies to reduce exposures for urban populations.

Studies based on field measurements, wind tunnel experiments, and controlled tracer gas releases indicate that solid, roadside noise barriers can lead to reductions in downwind near-road air pollutant concentrations. A tracer gas study showed that a solid barrier reduced pollutant concentrations as much as 80% next to the barrier relative to an open area under unstable meteorological conditions, which corresponds to typical daytime conditions when residents living or children going to school near roadways are most likely to be exposed to traffic emissions. The data from this tracer gas study and a wind tunnel simulation were used to develop a model to describe dispersion of traffic emissions near a highway in the presence of a solid noise barrier. The model is used to interpret real-world data collected during a field study conducted in a complex urban environment next to a large highway in Phoenix, Arizona, USA. We show that the analysis of the data with the model yields useful information on the emission factors and the mitigation impact of the barrier on near-road air quality. The estimated emission factors for the four species, ultrafine particles, CO, NO2, and black carbon, are consistent with data cited in the literature. The results suggest that the model accounted for reductions in pollutant concentrations from a 4.5 m high noise barrier, ranging from 40% next to the barrier to 10% at 300 m from the barrier.

Communities located in near-road environments face adverse health effects due to elevated exposures to traffic-related air pollution (TRAP). While the use of a combination of solid structures (i.e. sound walls) and vegetation barriers can be an effective TRAP mitigation tool, installing these barriers can also present challenges to local communities. Sound walls are costly, and building these structures often requires the involvement of federal, state, and local permitting agencies. In this paper, we proposed that the use of low-cost, impermeable, solid structures (LISS), e.g., an impermeable thin wooden, plastic or metal fence, combined with vegetation can provide an effective option for local communities to improve near-road air quality due to lower costs and easier implementation. We conducted Large Eddy Simulations (LES) for different potential design scenarios of LISS and vegetation barriers tested under various conditions. Our results indicate that (i) combining LISS and vegetation is more effective than either alone, (ii) combining a less dense vegetation and LISS can be as effective as a dense vegetation barrier, (iii) In certain scenarios, depending on wind speed and particle size, vegetation barriers alone might lead to elevated pollutant concentrations; however, combining LISS with vegetation can mitigate those negative impacts, (iv) placing LISS closer to the freeway and in front of the vegetation barrier enhances vertical dispersion of pollutants, and (v) increasing LISS height promotes pollutant concentration reduction. These design recommendations can be used by urban planners, developers, and local community leaders to evaluate and implement green infrastructure to mitigate TRAP.

In the fall of 2016, a field study was conducted in the Uinta Basin Utah to improve information on oil and natural gas well pad pneumatic controllers (PCs) and emission measurement methods. A total of 80 PC systems at five oil sites (supporting six wells) and three gas sites (supporting 12 wells) were surveyed, and emissions data were produced using a combination of measurements and engineering emission estimates. Ninety-six percent of the PCs surveyed were low actuation frequency intermittent vent type. The overall whole gas emission rate for the study was estimated at 0.36 scf/h with the majority of emissions occurring from three continuous vent PCs (1.1 scf/h average) and eleven (14%) malfunctioning intermittent vent PC systems (1.6 scf/h average). Oil sites employed, on average 10.3 PC systems per well compared to 1.5 for gas sites. Oil and gas sites had group average PC emission rates of 0.28 scf/h and 0.67 scf/h, respectively. This difference was due in part to differing site selection procedures used for oil and gas sites. The PC system types encountered, the engineering emissions estimate approach, and comparisons to measurements are described. Survey methods included identification of malfunctioning PC systems and emission measurements with augmented high volume sampling and installed mass flow meters, each providing a somewhat different representation of emissions that are elucidated through example cases.

With increasing evidence that exposures to air pollution near large roadways increases risks of a number of adverse human health effects, identifying methods to reduce these exposures has become a public health priority. Roadside vegetation barriers have shown the potential to reduce near-road air pollution concentrations; however, the characteristics of these barriers needed to ensure pollution reductions are not well understood. Designing vegetation barriers to mitigate near-road air pollution requires a mechanistic understanding of how barrier configurations affect the transport of traffic-related air pollutants. We first evaluated the performance of the Comprehensive Turbulent Aerosol Dynamics and Gas Chemistry (CTAG) model with Large Eddy Simulation (LES) to capture the effects of vegetation barriers on near-road air quality, compared against field data. Next, CTAG with LES was employed to explore the effects of six conceptual roadside vegetation/solid barrier configurations on near-road size-resolved particle concentrations, governed by dispersion and deposition. Two potentially viable design options are revealed: a) a wide vegetation barrier with high Leaf Area Density (LAD), and b) vegetation-solid barrier combinations, i.e., planting trees next to a solid barrier. Both designs reduce downwind particle concentrations significantly. The findings presented in the study will assist urban planning and forestry organizations with evaluating different green infrastructure design options.

Industrial facilities and other sources can emit air pollutants from fugitive leaks, process malfunctions and area sources that can be difficult to understand and to manage. Next generation emissions measurement (NGEM) approaches executed near facilities are enabling new ways to assess these sources and their impacts to nearby populations. This paper describes complementary uses of emerging NGEM systems in a Louisville, KY industrial district (Rubbertown), focusing on an important area air toxic, 1,3-butadiene. Over a one-year deployment starting in September 2017, two-week average passive samplers (PSs) at 11 sites showed both geospatial and temporal trends. At 0.24 ppbv annual average 1,3-butadiene concentration, a group of PSs located near facility fence lines was elevated compared to a PS group located in the community and upwind from facilities (0.07 ppbv average). Two elevated PS periods capturing emission events were examined using time-resolved NGEM approaches as case studies. In one event a 1.18 ppbv PS reading was found to be relatively localized and was caused by a multiday emission from a yet to be identified, non-facility source. In the other event, the airshed was more broadly impacted with PS concentrations ranging from 0.71 ppbv for the near-facility group to 0.46 ppbv for the community group. This case was likely influenced by a known emission event at an industrial facility. For both case studies, air pollutant and wind data from prototype NGEM systems were combined with source location models to inform the emission events. This research illustrates the power of applying NGEM approaches to improve both the understanding of emissions near sources and knowledge of impacts to near-source communities.

One proposed method for reducing exposure to mobile source air pollution is the construction or preservation of vegetation barriers between major roads and nearby populations. This study combined stationary and mobile monitoring approaches to determine the effects of an existing, mixed-species tree stand on near-road black carbon (BC) and particulate matter concentrations. Results indicated that wind direction and time of day significantly affected pollutant concentrations behind the tree stand. Continuous sampling revealed reductions in BC behind the barrier, relative to a clearing, during downwind (12.4% lower) and parallel (7.8% lower) wind conditions, with maximum reductions of 22% during the late afternoon when winds were from the road. Particle counts in the fine and coarse particle size range (0.5-10 μm aerodynamic diameter) did not show change. Mobile sampling revealed BC concentration attenuation, a result of the natural dilution and mixing that occur with transport from the road, was more gradual behind the vegetation barrier than in unobstructed areas. These findings suggest that a mature tree stand can modestly improve traffic-related air pollution in areas located adjacent to the road; however, the configuration of the tree stand can influence the likelihood and extent of pollutant reductions.

The overlap between inflammatory bowel disease (IBD) and psychiatric disorders has been studied extensively. We reviewed the limited literature targeting the complex relationship between IBD and psychiatric disorders in children and adolescents. Findings from this review were compared with findings from available studies in adults. Results reflecting an association between IBD and psychiatric illnesses were observed in children and adolescents and were consistent with results in adults. In adults with IBD, many studies have reflected the advantages of psychotherapeutic treatment, including faster recovery, improved quality of life, and reduced health care use. Unfortunately, such studies are scarce in the child and adolescent population. Psychopharmacologic studies also are limited in adult and pediatric populations. At this time, the literature on treatment of the pediatric IBD population remains minimal, and the need to study screening and treatment modalities is critical.

In combination with copper(II) ions, disulfiram (DSF) has been reported to be a potentially potent anticancer agent based on in vitro results. The interaction of DSF with copper(II) chloride in solution has been studied using a range of spectroscopic techniques. There is strong evidence for the rapid formation of the bis(N,N-diethyl dithiocarbamato)copper(II) complex in situ. Kinetic experiments were used to determine rate laws for the reaction that give insight into the mechanism of the process which may help to explain the observed in vitro cytotoxicity.

Traffic emissions are associated with the elevation of health risks of people living close to highways. Roadside vegetation barriers have the potential of reducing these risks by decreasing near-road air pollution concentrations. However, while we understand the mechanisms that determine the mitigation caused by solid barriers, we still have questions about how vegetative barriers affect dispersion. The US EPA conducted several field experiments to understand the effects of vegetation barriers on dispersion of pollutants near roadways (e.g., 2008 North Carolina study and 2014 California study) that indicate the reduction of near-road pollutant concentrations can be up to 30% due to the barrier effects. The results of these field studies are being used to develop and evaluate dispersion models that account for the effects of near-road vegetative barriers. These models can be used for evaluating the effectiveness of vegetation barriers as a potential mitigation strategy to reduce exposure to traffic-related pollutants and their associated adverse health effects. This paper presents the results of the analysis of the field studies and discusses dispersion models being used to describe the data in order to simulate the effects of near-road barriers and to develop recommendations for model improvements.

Realistic modeling of cost of manufacturing is essential for estimating cost of a product as well as for optimizing alternate manufacturing strategies. There are many factors that affect cost of manufacturing but the single most important parameter for estimating the cost of manufacturing is tolerance (deviation from the nominal size). In the past, most of the cost formulations were based on some inverse power function of a single tolerance parameter. However, it has been shown in our earlier work that when geometric tolerances are used to control the features, it is very difficult (and may not always be feasible) to establish a single tolerance parameter that can be used for estimating the cost. In our earlier work, we have established generic cost formulations based on the deviations of all features of a part and the mating relations between parts. It has been shown that the deviation based cost formulations could be used to establish cost of manufacturing at various geometric tolerancing conditions and the deviation parameters could be mapped to the geometric tolerancing specifications as per ASME Y14.5. In this paper results from manufacturing experiments carried out to establish process-specific machining parameters for the cost functions are presented. The parameters that have been considered are: turning operations at various combination of speed, feed and depth of cut on cylindrical rods (planar circular face) of specified nominal size and tolerances. The deviations of the machined surfaces (surface roughness) are then measured using a digital profilometer and the data from these measurements are analyzed for generation of best fitted planes for establishing the deviation parameters for the specified tolerance conditions. Results from these experiments are presented and applicability and limitations of these cost models are discussed. Future research steps for development of parameters for other remaining features (conical, spherical, etc.) are discussed.Copyright © 2011 by ASME

The answer for treating pathologic aggression (PA) in children on inpatient psychiatry units (based on various factors like severity of aggression and co-morbidities) is less likely to be restrictive interventions or sedating the patient. Using seclusion and restraints or medications to calm down the aggression is not free of adverse consequences. A protocol is needed to safely and effectively address aggressive and violent children and adolescents seen very commonly in psychiatry inpatient units.