Synthesis and Characterization of Silver Choromate Nanostructures via a Simple Precipitation Method

In summary, Ag2CrO4 nanostructures were prepared via a simple precipitation method by using [Ag(HSal)] as a new silver precursor. According to SEM images, the morphology of silver chromate nanostructures was 1-D and 3-D by using [Ag(HSal)] and AgNO3, respectively. Besides, SDS molecules were applied to decrease the particle size of the assynthesized products. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/3477

ATM QoS prediction using neural-networks

Future broadband integrated services digital networks (B-ISDN) will be based on asynchronous transfer mode (ATM) technology. ATM traffic management and congestion control is needed to guarantee the quality of service (QoS) parameters. Artificial neural networks (ANN) have several properties that are valuable when implementing ATM traffic control. A neural network based QoS estimation is presented to enhance the performance of ATM management so that service providers offer better services to their clients. A divide and conquer approach is proposed, which can be used for efficient classification. This architecture can be trained faster than conventional neural network architecture and it can classify the data more efficiently. Multilayer perceptron (MLP) and radial basis function networks (RBFN) are also trained for QoS estimation and their performances are compared. Results indicate that the proposed architecture outperforms MLP and RBF network

Very Preterm Birth is Reduced in Women Receiving an Integrated Behavioral Intervention: A Randomized Controlled Trial

Background This study examines whether an integrated behavioral intervention with proven efficacy in reducing psycho-behavioral risks (smoking, environmental tobacco smoke exposure (ETSE), depression, and intimate partner violence (IPV)) in African-Americans is associated with improved pregnancy outcomes Methods A randomized controlled trial targeting risks during pregnancy was conducted in the District of Columbia. African-American women were recruited if reporting at least one of the risks mentioned above. Randomization to intervention or usual care was site and risk specific. Sociodemographic, health risk and pregnancy outcome data were collected. Data on 819 women, and their singleton live born infants were analyzed using an intent-to-treat approach. Bivariate analyses preceded a reduced logistical model approach to elucidate the effect of the intervention on the reduction of prematurity and low birth weight. Results The incidence of low birthweight LBW was 12% and very low birthweight VLBW was 1.6%. Multivariate logistic regression results showed that depression was associated with LBW (OR=1.71, 95%CI=1.12-2.62). IPV was associated with PTB and VPTB (OR 1.64, 95%CI=1.07-2.51, OR=2.94, 95%CI=1.40-6.16, respectively). The occurrence of VPTB was significantly reduced in the intervention compared to the usual care group (OR=0.42, 95%CI=0.19-0.93). Conclusions Our study confirms the significant associations between multiple psycho-behavioral risks and poor pregnancy outcomes, including LBW and PTB. Our behavioral intervention with demonstrated efficacy in addressing multiple risk factors simultaneously reduced VPTB within an urban minority population

ATM QoS prediction using neural-networks

Future broadband integrated services digital networks (B-ISDN) will be based on asynchronous transfer mode (ATM) technology. ATM traffic management and congestion control is needed to guarantee the quality of service (QoS) parameters. Artificial neural networks (ANN) have several properties that are valuable when implementing ATM traffic control. A neural network based QoS estimation is presented to enhance the performance of ATM management so that service providers offer better services to their clients. A divide and conquer approach is proposed, which can be used for efficient classification. This architecture can be trained faster than conventional neural network architecture and it can classify the data more efficiently. Multilayer perceptron (MLP) and radial basis function networks (RBFN) are also trained for QoS estimation and their performances are compared. Results indicate that the proposed architecture outperforms MLP and RBF network

Sequential screening for psychosocial and behavioural risk during pregnancy in a population of urban African Americans

Objective: Screening for psychosocial and behavioral risks, such as depression, intimate partner violence and smoking, during pregnancy is considered state-of-the-art in prenatal care (PNC). This prospective longitudinal analysis examines the added benefit of repeated screening over a one-time screen in identifying such risks during pregnancy. Design: Data were collected as part of a randomized controlled trial to address intimate partner violence (IPV), depression, smoking and environmental tobacco smoke exposure (ETSE) in African-Americans women. Setting: PNC sites in the District of Columbia serving mainly minority women Population: 1044 African-American pregnant women in the District of Columbia Methods: Mothers were classified by their initial response (acknowledgement of risks) and updated during pregnancy. Risks were considered new if they were not previously reported. Standard hypothesis tests and logistic regression were used to predict acknowledgment of any new risk(s) during pregnancy. Main Outcome Measures: New risks; psychosocial variables to understand what factors might help identify acknowledgement of additional risk(s). Results: Repeated screening identified more mothers acknowledging risk over time. Reported smoking increased by 11%, ETSE by 19%, IPV by 9%, and depression by 20%. The psychosocial variables collected at the baseline that were entered into the logistic regression model included relationship status, education, Medicaid, illicit drug use, and alcohol use during pregnancy. Among these, only education less than high school was associated in acknowledgement of new risk in the bivariate analyses and significantly predicted identification of new risks (OR=1.39, 95%CI, 1.01-1.90). Conclusions: It is difficult early on to predict who will acknowledge new risks over the course of pregnancy, thus all women should be screened repeatedly to allow identification and intervention during PNC

Contingency analysis of bulk power system using neural networks

Radial basis function networks (RBFNs) are used for the contingency evaluation of bulk power systems. The motivation behind this work is to exploit the nonlinear mapping capabilities of RBFN in estimating line loading and bus voltages of a bulk power system following a contingency. Unlike most of the available neural network-based techniques, the proposed method utilizes the potential of RBFN in planning studies. The performance of the RBFN is compared with a standard AC load flow algorith

An Intervention to Reduce Environmental Tobacco Smoke Exposure Improves Pregnancy Outcomes

Objective—We tested the efficacy of a cognitive-behavioral intervention in reducing environmental tobacco smoke exposure (ETSE) and improving pregnancy outcomes among African-American women. Methods—We recruited 1,044 women to a randomized controlled trial during 2001-2004 in Washington, DC. Data on 691 women with self-reported ETSE were analyzed. A subset of 520 ETSE women and salivary cotinine levels (SCLs)/ml was also analyzed. Individually tailored counseling sessions adapted from evidence-based interventions for ETSE and other risks, were delivered to the intervention group. The usual care group received routine prenatal care as determined by their provider. Logistic regression models were used to predict ETSE before delivery and adverse pregnancy outcomes. Results—Women in the intervention were less likely to self-report ETSE before delivery when controlling for other covariates (OR=0.50, 95%CI=0.35-0.71). Medicaid recipients were more likely to have ETSE (OR=1.97, 95%CI=1.31-2.96). With advancing maternal age, the likelihood of ETSE was less (OR=0.96, 95%CI=0.93-0.99). For women in the intervention the rates of very low birth weight (VLBW) and very preterm birth (VPTB) were significantly improved (OR=0.11, 95%CI=0.01-0.86; OR=0.22, 95%CI=0.07-0.68, respectively). For women with SCL/ml, maternal age was not significant. Intimate partner violence at baseline significantly increased the chances of VLBW and VPTB (OR=3.75, 95%CI=1.02-13.81; OR=2.71, 95%CI=1.11-6.62, respectively). These results were true for mothers who reported ETSE overall and for those with SCL/ml. Conclusions—This is the first randomized clinical trial demonstrating efficacy of a cognitivebehavioral intervention targeting ETSE in pregnancy. We significantly reduced ETSE as well as VPTB and VLBW, leading causes of neonatal mortality and morbidity in minority populations. This intervention may reduce health disparities seen in reproductive outcomes

Low-income minority mothers’ reports of infant health care utilisation compared with medical records

This study aimed to investigate mothers’ reporting of the nature, location, frequency and content of health care visits for their infants, as compared with data abstracted from the infants’ medical records. It was part of a community-based parenting intervention designed to improve preventive health care utilisation among minority mothers in Washington, DC. Mothers 18 years old with newborn infants and with poor or no prenatal care were enrolled in the study. A total of 160 mother–infant dyads completed the 12-month study. Mothers were interviewed when the infants were 4, 8 and 12 months old, and were asked to recall infant visits to all health care providers. Medical records from identified providers were used for verification. The number and type of immunisations given, types of providers visited, and reason for the visits were compared. Only about a quarter of mothers agreed with their infants’ medical records on the number of specific immunisations received. The mothers reported fewer polio (1.8 vs. 2.1, P = 0.006), diphtheria and tetanus toxoids and pertussis (DTP) (1.8 vs. 2.2, P = 0.002), and Haemophilus influenzae type b (HiB) (1.3 vs. 2.1, P \u3c 0.0001) immunisations than were recorded. Similarly, about a quarter of the mothers were unaware of any polio, DTP or hepatitis B immunisations given, as documented in the medical records, and 38% did not know that their infant was immunised for HiB. Nearly half of the mothers recalled more infant doctors’ visits than were recorded in the medical records (4.1 vs. 3.6 visits, P = 0.017). The mothers generally disagreed with the providers about the reason for a particular visit and reported fewer sick-baby visits (1.5 vs. 3.3, P \u3c 0.0001) than the providers recorded. Mothers’ reports and medical records matched in only 19% of the cases. In 47%, mothers under-reported and in 34% overreported the total number of visits. The strongest agreement between mothers’ reports and medical records was in the case of emergency room visits (63%). In conclusion, in this population, mothers’ reporting did not match that of providers with respect to specific information: the number of immunisations, the location where services were provided, and the classification of sick- vs. well-baby visits. Future studies that evaluate health care utilization data should take these discrepancies into consideration in their selection of information source, and in their interpretation of the data