Search

Abstract: Models assessing exposure to air pollution often focus on macro-scale estimates of exposure to all types of sources for a particular pollutant across an urban study area. While results based on these models may aid policy makers in identifying larger areas of elevated exposure risk, they often do not differentiate the proportion of population exposure attributable to different polluting sources (e.g. traffic or industrial). In this paper, we introduce a population exposure modeling system that integrates air dispersion modeling, Geographic Information Systems (GIS), and population exposure techniques to spatially characterize a source-specific exposure to ambient air pollution for an entire urban population at a fine geographical scale. By area, total population exposure in Dallas County in 2000 was more attributable to vehicle polluting sources than industrial polluting sources at all levels of exposure. Population exposure was moderately correlated with vehicle sources (r = 0.440, p < 0.001) and weakly with industrial sources (r = 0.069, p = 0.004). Population density was strongly correlated with total exposure (r = 0.896, p < 0.001) but was not significantly correlated with individual or combined sources. The results of this study indicate that air quality assessments must incorporate more than industrial or vehicle polluting sources-based population exposure values alone, but should consider multiple sources. The population exposure modeling system proposed in this study shows promise for use by municipal authorities, policy makers, and epidemiologists in evaluating and controlling the quality of the air in the process of urban planning and mitigation measures. [Copyright &y& Elsevier]

The article discusses how the processing of medication orders are influenced by a remote order scanning system (ROSS) at Baylor University Medical Center (BUMC) in Dallas, Texas. Digital scanning technology is used by ROSS for converting paper based prescription orders into electronic documents. A randomized comparison of efficiencies was done to analyze implementation of a ROSS to oversee physician orders handled at BUMC. The ROSS helped reduce time consumption in medication order processing.

Maintaining an adequate water supply is one of the key challenges faced by the Dallas-Fort Worth Metroplex, where increasing population and rising water demand have elevated the vulnerability of the communities to water shortages. We conducted a preliminary study exploring the possibility of converting flood storage in the Joe Pool Lake to improve water supply reliability and achieve better cost efficiency. This study employs a mixed integer linear programming approach that considers the costs of using flood storage conversion to meet water needs over the northern portion of the Trinity River Basin. It includes tradeoffs between capturing and storing runoff versus return flow from the wastewater treatment facilities of the Trinity River Authority. A set of hypothetical prices and demand figures with the period of record of 1940-1996 was considered to test the mixed integer linear programming model. Results from the mixed integer linear programming produce an optimal strategy that increases the firm yield of Joe Pool Lake and associated storage-diversion on an annual basis. Also, the outcomes of the analyses of the results suggest that while the conversion would have a positive impact on water availability, a lower expansion cost of $20 per acre-foot per year would be required to produce sufficient cost savings. [ABSTRACT FROM AUTHOR]

The given article considers results of experimental measurements, productivity comparison and master controller executive system of flat-plate solar collector with thermosiphon circulation and flat solar collector with special chemical coating. There has been developed master controllers control module, which receives data from temperature and lighting sensors, obtained in operation process. The aim of the research is getting the solar collectors' optimal parameters, representing maximal usage performance index, controllability, as well as, construction type, allowing energy saving. In the recent years flat-plate solar collectors with chemical coating are characterized with higher efficiency in real conditions usage. The developed master controllers' executive system is used for monitoring the installation 's main parameters, as well, it permits to compare characteristics of solar collector with thermosiphon circulation those of flat-plate solar collector with chemical coating. The obtained experimental data has shown, that flat solar collectors, using chemical coating as a transfer medium in solar heat supply system, have an advantage in the context of usage effectiveness. The heat output and water heating in a flat solar collector are calculated, which vary depending on the intensity of solar radiation. The thermal efficiency of a flat solar collector with a thermosiphon tank based on the Mojo V3 platform using Dallas sensors is calculated. [ABSTRACT FROM AUTHOR]

Copyright of Arab Journal of Plant Protection is the property of Arab Society for Plant Protection and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Normative craniofacial anthropometry provides clinically important reference values used in the treatment of craniofacial conditions. Few objective datasets of normative data exist for children. To establish normative data regarding craniofacial morphology changes with growth in children. 3D surface images of the same group of healthy children aged 6 − 11 years old recruited from a Dallas school were taken annually between the years 2015 − 2020. Composite 3D cephalometric faces were created for boys and girls of each age. General and craniofacial anthropometric measurements were compared. Seven hundred ninety one individual stereophotogrammetric acquisitions were used (400 boys, 391 girls) taken from 180 children. Linear facial, orbital, nasal, and oral anthropometric measurements revealed a consistent increase in magnitude with age. Composite 3D face comparisons revealed prominent vertical and anteroposterior growth trends in the lower and upper facial regions. This study presents a longitudinal 3D control dataset of the same group of children over a 6-year period that can serve as reference norms for facial growth values and trends in children aged 6–11 years. The composite 3D normative faces are available for clinical and research purposes upon request, which may be interrogated and measured according to user need and preference. [ABSTRACT FROM AUTHOR]

Public education campaigns, to be successful, must repeat simple, consistent messages over time, using various sources and media. During the 2000, 2001, and 2002 ozone seasons, the North Central Texas Council of Governments (NCTCOG) employed a four-pronged, multimedia approach to educate the public about air quality in the Dallas/Fort Worth (DFW) region. The four-pronged approach included several varied information sources:

This article presents abstracts of the papers discussed in the 25th Annual Carrell-Krusen Symposium held at the Texas Scottish Rite Hospital for Children in Dallas, Texas from February 27-March 1, 2003. A case featuring the limb-girdle weakness in a young girl was studied. It was found that glycogenosis type III is an autosomal recessive disorder. A 13-year old boy with progressive spinobulbar paralysis was studied.

Abstract This paper profiles the cost and the profitability potential associated with recycling and reuse of ultrapure rinse waters left over from semiconductor wafer-rinsing processes. An environmental health and safety financial software tool was used to a) account for costs, b) estimate their financial impact, and c) compare the profitability potential of recycling and nonrecycling options. The financial analysis was designed to help environmental health and safety specialists enhance the ways they present the economic soundness of spent-rinse-water recycling to fabrication managers. It was found that the financial software tool provided a flexible, low-maintenance, decision-oriented approach to understanding the full cost of owning water-recycling systems. A financial-analysis case study looked at a typical fabrication facility that processed 480,000 200-millimeter wafers annually, used 500 gallons per minute of ultrapure water, and recycled at 50 percent. Both direct and indirect costs were calculated. The financial analysis showed that the annual incremental cost difference between recycling ($2.03 million) and not recycling ($2.85 million) is approximately $823,878. This annual cost reduction, taken over the 15-year estimated productive/economic life of the system and discounted at 15 percent, with a combined tax rate of 40 percent and a five-year depreciation, results in a net present value of $2,577,212. [ABSTRACT FROM AUTHOR]

Provides information on the 101st Annual Meeting of the Archaeological Institute of America which was held in Dallas, Texas from December 27 to 30, 2000. Awardees at the event; Officers who were elected to the Institute's Governing Board; Abstracts of the research papers at the meeting.

• Noise complaints aggravate transportation inequality. • Minorities may not be reluctant to report noise complaints. • Transportation-related matters dominate self-reported noise complaints. As a self-reporting data source, the 311 non-emergency service reflects the residents' concerns on various environmental complaints, including noise. This study explores the nexus between noise complaints extracted from this data source and the transportation-related inequality that reflects a wide range of socio-demographic cohorts associated with it in Dallas, Texas. Noise constitutes an inevitable fact of life—especially in denser urban areas, that as this paper reports, reflects social injustice. Drawing from multiple socio-demographic and transportation indicators, this study conducts multiple statistical and spatial analyses in the selected case studies. The findings further identify the explanatory variables relative to noise complaints and their inequality implications. The results confirm that transportation-related factors affect inequality while also operating within specific socio-demographic patterns. The study gleans lessons for transportation and urban planners, policymakers, and local authorities. [ABSTRACT FROM AUTHOR]

• We develop an academic journals evaluation method using integer DEA to conduct journals evaluation in the research field of management science and operations. • We introduce the common expert-based journal ranking indicators such as the ABS Ranking and UT/DALLAS journal list in business or management field. • We introduce an input indicator by assessing whether the journal has an excessively high self-citation rate. • We discuss whether the variable returns to scale (VRS) or constant returns to scale (CRS) model of DEA is used in journal evaluation. • A case study is provided to demonstrate the aforementioned improvements. This paper aims to investigate academic journal evaluation through the integer DEA (Data envelopment analysis) method. By including expert-based and citation-based journal ranking indicators such as the ABS Ranking, UT/DALLAS list, IF (impact factor), H-index and Eigenfactor score, and considering the first two sequencing expert-based journal ranking indicators and H-index are integer data, this study constructed an integer DEA model to evaluate academic journals in the field of management science and operations research. An indicator is also introduced as input to punish mismanagement of journals by judging whether the self-citation rate is too high. Based on the calculation of our model, four main conclusions are reached. First, the integer DEA model could be a useful method to amend the deviation caused by ignoring integer data and integrate indicators based on expert and citations. Second, by introducing expert-based journal ranking indicators, better results can be obtained when identifying the most important journals; and by introducing citation-based journal ranking indicators, the subjective bias caused by experts' difficulty in familiarizing with all journals can also be avoid to some extent. Third, by introducing the Cost indicator measured by excessive self-citation rate, we identify the cost of mismanagement by journal editorial board and punish them in DEA score. Last but not the least, we proposed that CRS is more suitable in academic journal evaluation than VRS because there is no effect of increasing or decreasing returns to scale in the process of journal publication and citation. In summary, our integer DEA model is feasible and could be used by universities to form suitable journal ranking list. [ABSTRACT FROM AUTHOR]

Overall trends of academic staffing in the US have indicated declines in tenure, increased use of contingent faculty, and stratification of teaching and research efforts. However, little is known about academic staffing patterns in professional programs, and little research has been done using program-level data. The purposes of this study were to identify faculty staffing patterns, determine if patterns change over time, and identify predictors of staffing patterns in US-based physical therapy programs. Yearly program-level accreditation data from 2008 to 2017 were analyzed. A finite mixture model analysis identified staffing patterns. Logistic regression analyses were run to predict category membership and observe change over time. Two academic staffing categories emerged: (1) Broad staffing patterns (90.4% of programs) composed of more core faculty on tenure track and who held academic degrees and (2) Flexible programs (9.7% of observations) with higher numbers of core faculty, fewer faculty on tenure track, and fewer faculty with an academic doctoral degree. There was little change over time from one category to another. Programs were more likely to adopt a Flexible pattern when budget and faculty teaching time rose. Membership to one of two staffing models appears to be predicted by institutional reliance on professional programs for revenues. Either programs lower expenses by having tenured faculty balance teaching and research, or they rely on non-tenured faculty positions and higher enrollments. [ABSTRACT FROM AUTHOR]

Background and Purpose: Complete reperfusion (TICI 3) after the first thrombectomy attempt or first pass effect (FPE) is associated with best clinical outcomes in large‐vessel occlusion (LVO) acute ischemic stroke. While endovascular therapy techniques have improved substantially, FPE remains low (24–30%), and new methods to improve reperfusion efficiency are needed. Methods: In a prospective observational cohort study, 40 consecutive patients underwent cyclical aspiration thrombectomy using CLEARTM Aspiration System (Insera Therapeutics Inc., Dallas, TX). Primary outcome included FPE with complete/near‐complete reperfusion (TICI 2c/3 FPE). Secondary outcomes included early neurological improvement measured by the National Institute of Health Stroke Scale (NIHSS), safety outcomes, and functional outcomes using modified Rankin Scale (mRS). Outcomes were compared against published historical controls. Results: Among 38 patients who met criteria for LVO, median age was 75 (range 31–96). FPE was high (TICI 3: 26/38 [68%], TICI 2c/3: 29/38 [76%]). Among anterior circulation strokes, core lab‐adjudicated FPE remained high (TICI 3: 17/29 [59%], TICI 2c/3: 20/29 [69%]), with excellent final successful revascularization results (Final TICI 3: 24/29 [83%], Final TICI 2c/3: 27/29 [93%]). FPE in the CLEAR‐1 cohort was significantly higher compared to FPE using existing devices (meta‐analysis) from historical controls (TICI 2c/3: 76% vs. 28%, p = 0.0001). High rates of early neurological improvement were observed (delta NIHSS≥4: 35/38 [92.1%]; delta NIHSS≥10: 27/38 [71%]). Similarly, high rates of good functional outcomes (mRS 0–2: 32/38 [84%]) and low mortality (2/38 [5%]) were observed. Conclusion: Cyclical aspiration using the CLEARTM Aspiration System is safe, effective, and achieved a high TICI 3 FPE for large‐vessel strokes. [ABSTRACT FROM AUTHOR]

Airports are on the front line of significant innovations, allowing the movement of more people and goods faster, cheaper, and with greater convenience. As air travel continues to grow, airports will face challenges in responding to increasing passenger vehicle traffic, which leads to lower operational efficiency, poor air quality, and security concerns. This paper evaluates methods for traffic demand forecasting combined with traffic microsimulation, which will allow airport operations staff to accurately predict traffic and congestion. Using two years of detailed data describing individual vehicle arrivals and departures, aircraft movements, and weather at Dallas-Fort Worth (DFW) International Airport, we evaluate multiple prediction methods including the Auto Regressive Integrated Moving Average (ARIMA) family of models, traditional machine learning models, and DeepAR, a modern recurrent neural network (RNN). We find that these algorithms are able to capture the diurnal trends in the surface traffic, and all do very well when predicting the next 30 minutes of demand. Longer forecast horizons are moderately effective, demonstrating the challenge of this problem and highlighting promising techniques as well as potential areas for improvement. Traffic demand is not the only factor that contributes to terminal congestion, because temporary changes to the road network, such as a lane closure, can make benign traffic demand highly congested. Combining a demand forecast with a traffic microsimulation framework provides a complete picture of traffic and its consequences. The result is an operational intelligence platform for exploring policy changes, as well as infrastructure expansion and disruption scenarios. To demonstrate the value of this approach, we present results from a case study at DFW Airport assessing the impact of a policy change for vehicle routing in high demand scenarios. This framework can assist airports like DFW as they tackle daily operational challenges, as well as explore the integration of emerging technology and expansion of their services into long term plans. • Introduce and evaluate methods for airport traffic demand forecasting. • Create a microsimulation of the Dallas Fort-Worth International Airport. • Combine the demand forecast with the microsimulation in order to provide a complete picture of traffic and its consequences. • The result is an operational intelligence tool for exploring policy changes and infrastructure expansion scenarios. [ABSTRACT FROM AUTHOR]

• Novel home appliance scheduling is presented incorporating DERs for demand response. • Risk aversion is applied and compared with the risk-neutral approach by adding CVAR. • GT unified ENNC method is applied for solving multi-objective optimization. • Overall energy cost and gaseous emissions are optimized by the fuzzy compromising method. Due to environmental issues and smart grid development, distributed energy resources, energy storage systems, and demand response (DR) are gaining attention to reduce the pollution and fossil fuel usage. This paper presents a customer's preferences based innovative home appliances scheduling framework considering numerous constraints and DR for scheduling household appliances incorporating local energy grid and energy storage systems, including electrical and thermal energy storage. First, the models of household appliances and air conditioning load are built as the shiftable and non-schedulable loads and a flexible thermal load, respectively. Second, an enhanced normalized normal constraint (ENNC) strategy based on game theory (GT) is presented for a novel home appliance scheduling (HAS) framework with the objectives to optimize consumption cost, end-users comfort, and peak to average ratio. Then, the fuzzy compromising (FCP) method is proposed to optimize overall energy cost and gaseous emissions for the novel HAS framework with a residential local energy grid. In addition to this, conditional value at risk (CVaR) has also been incorporated in the objective function to resolve the sudden absence of distributed energy resources and power failures. Finally, case studies on data from Dallas, Texas, USA are performed, and the simulation results show that the proposed strategy is computationally inexpensive and outperforms other approaches in terms of electricity cost, gaseous emissions, and customer's comfort. The proposed approach gives a significantly lower cost of 104.30 cents and gaseous emissions of about 18.753 kg for an entire day of novel HAS with DR adoption. Thus, it can provide help for DR accomplishment and precise prediction of electricity consumption. [ABSTRACT FROM AUTHOR]

The article presents authors' comments on the research paper "Immunoreactivity for bcl-2 Protein in Cutaneous Lymphomas and Lymphoid Hyperplasias," published in the October 1, 1995 issue of the Journal of Cutaneous Pathology. They completely agree that expression of protein bcl-2 cannot be used for differentiation of cutaneous B-cell pseudolymphomas from cutaneous B-cell lymphomas and that the staining pattern must be examined in the context of the tumor's cytologic and architectonic features. However, the paper did not cite the data that were first presented at the 29th meeting of the American Society of Dermatopathology in 1991 in Dallas,Texas and subsequently published in the journal of Investigative Dermatology.

The strong performance of the city of Dallas during the past decade has been bolstered by a diverse economic base of finance, information technology, defense, and construction industries that have raised the taxable assessed property values in Dallas significantly since 2012. Due in part to the strength of this base, Dallas experienced shorter durations of unemployment during COVID-19 than in previous recessions and was able to rely on standard recession strategies to deal with changes in sales tax revenue caused by the pandemic. The main lessons from the Dallas experience are to use periods of growth to build fund balances and to rely on income-inelastic revenue to balance the general fund during adverse events. The Dallas case also illustrates the importance of making strategic investments to reduce debt and of ensuring funding for pensions and other postemployment benefits and obligations, strategies that city officials had relied on less in the years leading up to the pandemic. Less strategically, the city also relied on significant CARES Act contributions and employee furloughs across many departments. [ABSTRACT FROM AUTHOR]

Background: Obesity is a significant and growing public health problem in high-income countries. Little is known about the relationship between resistance exercise (RE), alone and in combination with aerobic exercise (AE), and the risk of developing obesity. The purpose of this prospective cohort study was to examine the associations between different amounts and frequencies of RE, independent of AE, and incident obesity.Methods and Findings: Participants were 11,938 healthy adults ages 18-89 years with a BMI < 30 kg/m2 at baseline who completed at least 2 clinical examinations during 1987-2005 as part of the Aerobics Center Longitudinal Study. Self-reported RE participation in minutes/week and days/week was collected from a standardized questionnaire. Incident obesity was defined as a BMI ≥ 30 kg/m2 at follow-up. Incident obesity was also defined by waist circumference (WC) > 102/88 cm for men/women and percent body fat (PBF) ≥ 25%/30% for men/women at follow-up in participants who were not obese by WC (n = 9,490) or PBF (n = 8,733) at baseline. During the average 6-year follow-up, 874 (7%), 726 (8%), and 1,683 (19%) developed obesity defined by BMI, WC, or PBF, respectively. Compared with no RE, 60-119 min/wk of RE was associated with 30%, 41%, and 31% reduced risk of obesity defined by BMI (hazard ratio [95% CI], 0.70 [0.54-0.92], p = 0.008), WC (0.59 [0.44-0.81], p < 0.001), and PBF (0.69 [0.57-0.83], p < 0.001), respectively, after adjusting for confounders including age, sex, examination year, smoking status, heavy alcohol consumption, hypertension, hypercholesterolemia, diabetes, and AE. Compared with not meeting the RE guidelines of ≥2 d/wk, meeting the RE guidelines was associated with 18%, 30%, and 30% reduced risk of obesity defined by BMI (hazard ratio [95% CI], 0.82 [0.69-0.97], p = 0.02), WC (0.70 [0.57-0.85], p < 0.001), and PBF (0.70 [0.62-0.79], p < 0.001), respectively. Compared with meeting neither guideline, meeting both the AE and RE guidelines was associated with the smallest hazard ratios for obesity. Limitations of this study include limited generalizability as participants were predominantly white men from middle to upper socioeconomic strata, use of self-reported RE, and lack of detailed diet data for the majority of participants.Conclusions: In this study, we observed that RE was associated with a significantly reduced risk of obesity even after considering AE. However, meeting both the RE and AE guidelines was associated with the lowest risk of obesity. [ABSTRACT FROM AUTHOR]

Tornadoes cause billions of dollars in damage and over 100 fatalities on average annually. Yet, an indirect cost to these storms is found in lost sales and/or lost productivity from responding to over 2000 warnings per year. This project responds to the Weather Research and Forecasting Innovation Act of 2017, H.R. 353, which calls for the use of social and behavioral science to study and improve storm warning systems. Our goal is to provide an analysis of cost avoidance that could accrue from a change to the warning paradigm, particularly to include probabilistic hazard information at storm scales. A survey of nearly 500 firms was conducted in and near the Dallas-Fort Worth metropolitan area asking questions about experience with tornadoes, sources of information for severe weather, expected cost of responding to tornado warnings, and how the firm would respond to either deterministic or probabilistic warnings. We find a dramatic change from deterministic warnings compared to the proposed probabilistic and that a probabilistic information system produces annual cost avoidance in a range of $2.3-$7.6 billion (U.S. dollars) compared to the current deterministic warning paradigm. [ABSTRACT FROM AUTHOR]

In this work we evaluate the predictive capability of identifying long term, micro place hot spots in Dallas, Texas. We create hot spots using a clustering algorithm, using law enforcement cost of responding to crime estimates as weights. Relative to the much larger current hot spot areas defined by the Dallas Police Department, our identified hot spots are much smaller (under 3 square miles), and capture crime cost at a higher density. We also show that the clustering algorithm captures a wide array of hot spot types; some one or two addresses, some street segments, and others an agglomeration of larger areas. This suggests identifying hot spots based on a specific unit of aggregation (e.g. addresses, street segments), may be less efficient than using a clustering technique in practice. [ABSTRACT FROM AUTHOR]

Objectives: We illustrate how a machine learning algorithm, Random Forests, can provide accurate long-term predictions of crime at micro places relative to other popular techniques. We also show how recent advances in model summaries can help to open the 'black box' of Random Forests, considerably improving their interpretability. Methods: We generate long-term crime forecasts for robberies in Dallas at 200 by 200 feet grid cells that allow spatially varying associations of crime generators and demographic factors across the study area. We then show how using interpretable model summaries facilitate understanding the model's inner workings. Results: We find that Random Forests greatly outperform Risk Terrain Models and Kernel Density Estimation in terms of forecasting future crimes using different measures of predictive accuracy, but only slightly outperform using prior counts of crime. We find different factors that predict crime are highly non-linear and vary over space. Conclusions: We show how using black-box machine learning models can provide accurate micro placed based crime predictions, but still be interpreted in a manner that fosters understanding of why a place is predicted to be risky. [ABSTRACT FROM AUTHOR]

This paper shows how federal resources and mandates concerning the HIV epidemic combined with the political economy and political culture of Dallas, Texas to create a distinctive local HIV/AIDS service system. The infusion of federal funds allowed nonprofit organizations to expand their services, especially in the areas of economic assistance and social services. In additions, funding to minority agencies and services to minority clients were expanded. While the fund administration structure imposed on the nonprofit providers necessitated greater administrative efforts on their part and enhanced the power of local government, it also greatly improved coordination. [ABSTRACT FROM AUTHOR]

The article presents information on the College on Logistics of the Institute of Management Sciences (TIMS). The first general membership meeting is scheduled during the American Meeting of TIMS in Dallas, February 17-19, 1966. The author provides information on where those interested in presenting papers at this session can submit abstracts. Furthermore, plans for a three-day symposium on "Transportation Decision Making: It's Environment and Methodology," are underway to be held in Washington D.C. in Spring 1966.

Information about several papers discussed at the 2011 Desert of Texas Conference on the Gala Day celebration of Ancient Egyptian Arabic Order of Nobles of the Mystic Shrine Inc., and Prince Hall Shriners held at the Crowne Plaza Hotel in Dallas, Texas on April 7-10, 2011 is presented. Topics include civic, economic, and educational development programs throughout the world. The conference was conducted by Timothy Boone, Alfred B. Sample, and Robert J. Datcher.

This article presents information on convention program of the Southwestern Social Science Association and the American Business Writing Association joint conference, held in April 1955, in Dallas, Texas. Some of papers presented in the meetings on various topics like accounting, agricultural economics, business administration, sociology, government, geography are: "A Well-Informed and Better-Guided Student," by William P. Carr; "Recent Developments in Accounting Research," by Charles T. Zlatkovich; "Course Content and Conduct," by Emerson O. Henke; "The Southern Farmer and Foreign Trade," by M.D. Woodin; "The Southern Farmer and Current Agricultural Legislation and Regulation," by William A. Faught; "A Comparison of Riparian and Appropriated Water Rights," by Wells A. Hutchins; "A Comparison of Land-Value Theories and the Everyday Operation of the Land Market," by Robert L. Tontz; "Geography of the Rainforest of Western Pichincha and Esmeraldas, Ecuador," by Luis Freile; and others.

The article provides information about the twenty-second Annual Meeting of the Southwestern Social Science Association held on April 11 and 12, 1941 at Dallas, Texas. On Friday, April 11, Accounting Luncheon Meeting was held in Room 3. Earl A. Sailers of Louisiana State University was the Chairman. Round-Table Discussion was held on the Present Status of "Principles of Accounting." In sociology section, meeting on "Social Standards in a Changing Society" was held in Room 428. Fred C. Watts of the Oklahoma Baptist University acted as the Chairman. William T. Chambers of Stephen F. Austin College was the chairman for the Geography Section. General discussion on "Industrialization in the Southwest," was presented by Elmer Johnson from the University of Texas and "The Paper and Pulp Industry of Texas," by Victor Schoffelmayer, The Dallas Morning News. In psychology section, meetings were held on "The Relation of Dominance Scores to Level of Aspiration in Mental Test Performance," and "The Influence of Number of Lists to be Learned upon Learning and Retention."

The article focuses on several meetings related to biological sciences. The Southern Section of the American Society of Plant Physiologists held its 21st annual meeting with the Association of Southern Agricultural Workers at Dallas, Texas in February 1965. In the meeting, Burlyn E. Michel of the University of Georgia presided over the symposium on the water economy of plants. Colorado College held a symposium on "The New Science" in January 1965. It highlighted some of the modern advances of biology and the implications of these advances for man. The symposium's program subject matter included photosynthesis, science fiction literature, DNA and isozymes. The 1965 meeting of the American Society of Mammalogists will be held at the Fort Garry Hotel, Winnipeg, Manitoba.

This paper is the result of a three year study conducted in Dallas and Fort Worth, Texas, to determine the impact of parks of various types upon the values of residential properties. The proxy for value which was used was assessed value for properties in both cities as developed by the two City Assessors. The analysis in the present study was limited to the impact that the individual park might have on property values of properties near or within the use area of the park. Thus, the park may be an external value determining factor on the values of properties near or adjacent to it. Another limitation to the analysis was that there appeared to be no logical way to relate the study of property values to areas which were not primarily residential. Assessment data on housing in most communities is of considerably higher quality than assessment data on commercial properties. Among the playgrounds studied, all but one generated a positive influence on values of properties in the area of the park. In no case was the influence large and indeed it should not be. Logically, the park ought to be a minor part of the total value impact upon residential properties, yet there is little doubt that some parks included in the study enhanced the values of adjacent property.

Background: In urban environments, environmental air pollution poses significant risks to respiratory health. Moreover, the seasonal spatial variability of the air pollutant ozone, and respiratory illness within Dallas-Fort Worth (DFW) is not well understood. We examine the relationships between spatial patterns of long-term ozone exposure and respiratory illness to better understand impacts on health outcomes. We propose that this study will establish an enhanced understanding of the spatio-temporal characteristics of ozone concentrations and respiratory emergency room visits (ERV) incidence. Methods: Air pollution data (ozone) and ERV incidence data from DFW was used to evaluate the relationships between exposures and outcomes using three steps: (1) develop a geostatistical model to produce quarterly maps of ozone exposure for the DFW area; (2) use spatial analysis techniques to identify clusters of zip codes with high or low values of ozone exposure and respiratory ERV incidence; and (3) use concentration-response curves to evaluate the relationships between respiratory ERV incidence and ozone exposure. Results: Respiratory ERV incidence was highest in quarters 1 and 4, while ozone exposure was highest in quarters 2 and 3. Extensive statistically significant spatial clusters of ozone regions were identified. Although the maps revealed that there was no regional association between the spatial patterns of high respiratory ERV incidence and ozone exposure, the concentration-response analysis suggests that lower levels of ozone exposure may still contribute to adverse respiratory outcomes. [ABSTRACT FROM AUTHOR]

Copyright of Gesunde Pflanzen is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Properly extracting patterns of individual mobility with high resolution data sources such as the one extracted from smartphone applications offers important opportunities. Potential opportunities not offered by call detailed records (CDRs), which offer resolutions triangulated from antennas, are route choices, travel modes detection and close encounters. Nowadays, there is not a standard and large scale data set collected over long periods that allows us to characterize these. In this work we thoroughly examine the use of data from smartphone applications, also referred to as location-based services (LBS) data, to extract and understand the vehicular route choice behavior. Taking the Dallas-Fort Worth metroplex as an example, we first extract the vehicular trips with simple rules and reconstruct the origin-destination matrix by coupling the extracted vehicular trips of the active LBS users and the United States census data. We then present a method to derive the commonly used routes by individuals from the LBS traces with varying sample rate intervals. We further inspect the relation between the number of routes and the trip characteristics, including the departure time, trip length and travel time. Specifically, we consider the travel time index and buffer index for the LBS users taking different number of routes. Empirical results demonstrate that during the peak hours, travelers tend to reduce the impact of traffic congestion by taking alternative routes. Overall, the proposed data analysis framework is cost-effective to treat sparse data generated from the use of smartphones to inform routing behavior. The potential in practice is to inform demand management strategies, by targeting individual users while generating large scale estimates of congestion mitigation. [ABSTRACT FROM AUTHOR]