Conventional and Doppler ultrasonographic diagnosis of subclinical pregnancy toxemia with altered serum cortisol and biochemical parameters in pregnant does.

The pathogenesis and diagnosis of subclinical pregnancy toxemia (SCPT) remain elusive and need further investigation in pregnant does. Therefore, the aim of our study was to describe the typical properties of hepatic venous hemodynamics by Doppler ultrasonography. A total of 70 pregnant does were classified based on the blood serum concentrations of ß-hydroxybutyric acid (ßHBA), pregnant does were categorized into control group (ßHBA concentrations <0.8 mmol/L; n = 40) and SCPT group (ßHBA concentrations >0.8 mmol/L; n = 30). DRAMISKI 4vet slim diagnostic ultrasound scanner with B, M, and Doppler (color, power, pulsing wave) modes was used for diagnosis of SCPT. Total serum cortisol level was quantitative using chemiluminescent immunoassay. Serum glucose, triglycerides, cholesterol, HDL and LDL- cholesterol and LDH- cholesterol were measured by colorimetric and kinetic methods. Liver ultrasonography of does with SCPT had been shown mild fatty infiltration with rounded margin, which was characterized by hyperechoic area. There was a significant decrease in the values of portal vein diameter (PVD), portal vein area (PVA), portal mean velocity (PMV) and portal blood flow (PBF) in SCPT does compared to control pregnant does. PVD, PVA and PBF were negatively correlated with ßHBA concentrations in does with SCPT (P < 0.05). PVD was inversely associated with serum cholesterol and triglycerides concentrations (P < 0.05). In conclusions, Doppler ultrasonography examinations of pregnant does with SCPT indicate abnormal hepatic variation. Reduced PVD, PVA, PMV and PBF together with increased ßHBA concentrations could predict SCPT in does with fair sensitivity and specificity.

Improving road safety at horizontal curves using V2I speed warning messages.

INTRODUCTION: According to the Federal Highway Administration, a quarter of fatal collisions has occurred at horizontal curves. The average collision rate at horizontal curves was found to be three times higher than other types of highway segments. The lack of compliance with the speed limit and driver-related factors are among the main contributing factors to those collisions. Vehicle to Infrastructure (V2I) communications can address these limitations by providing drivers with valuable in-vehicle warning messages based on operational and safety data. There is limited effort investigating the impact of different types of V2I warning messages at horizontal curves and among different profiles of drivers. This study aims to thoroughly examine drivers' behavior and compliance with different V2I warning messages when approaching horizontal curves. METHODS: A driving simulator experiment and self-reported survey were conducted. Three main hypotheses were analyzed in this study. First, whether supplying drivers with in-vehicle V2I warning messages will positively affect drivers' behavior at horizontal curves compared to the standard road signs. Second, whether there will be a significant difference in drivers' behavior when receiving text and audio V2I warning messages. Third, whether seniors and female drivers will comply more with speed limit advisory provided through V2I message than younger and male drivers. RESULTS: The Analysis of Covariance confirmed the first two hypotheses. Two main measures of drivers' behavior found to be lower in the V2I communication scenarios compared to the base one. The audio warning message was found to be more promising in increasing drivers' compliance with speed limit advisory when approaching the curves. Analyzing the third hypothesis revealed that younger and male drivers had higher curve initiation speed compared to females and seniors. PRACTICAL APPLICATIONS: The findings of this study can be used by transportation researchers, authorities, and car manufacturers to improve the effectiveness of in-vehicle V2I warning messages among different profiles of drivers.

Senior Americans' perceptions, attitudes, and safety concerns toward Autonomous Vehicles (AVs).

INTRODUCTION: Autonomous vehicles (AVs) are considered a promising solution to improve seniors' safety and mobility. However, to transition to fully automated transportation, especially among seniors, it is vital to assess their perception and attitude toward AVs. This paper investigates seniors' perceptions and attitudes to a wide range of AV options from the perspective of pedestrians and users in general, as well as during and after the COVID-19 pandemic. Underlying this objective is to examine older pedestrians' safety perceptions and behaviors at crosswalks in the presence of AVs. METHOD: A national survey collected data from a sample of 1,000 senior Americans. Using Principal Component Analysis (PCA) and Cluster Analysis, three clusters of seniors were identified with different demographic characteristics, perceptions, and attitudes toward AVs. RESULTS: PCA findings revealed that "risky pedestrian crossing behavior," "cautious pedestrian crossing behavior in the presence of AVs," "positive perception and attitude toward shared AVs," and "demographic characteristics" were the main components explaining most of the variation within the data, respectively. The PCA factor scores were used in the cluster analysis, which resulted in the identification of three distinctive groups of seniors. Cluster one included individuals with lower demographic scores and a negative perception and attitude toward AVs from the perspective of users and pedestrians. Clusters two and three included individuals with higher demographic scores. Cluster two included individuals with a positive perception toward shared AVs from the user perspective, but a negative attitude toward pedestrian-AV interaction. Cluster three included those with a negative perception toward shared AVs but a somewhat positive attitude toward pedestrian-AV interaction. The findings of this study provide valuable insights to transportation authorities, AV manufacturers, and researchers regarding older American's perception and attitude toward AVs as well as their willingness to pay and use Advanced Vehicle Technologies.

Near-term impact of COVID-19 pandemic on seniors' crash size and severity.

Recent research revealed that COVID-19 pandemic was associated with noticeable changes in travel demand, traffic volumes, and traffic safety measures. Despite the reduction of traffic volumes across the US, several recent studies indicated that crash rates increased across different states during COVID-19 pandemic. Although some recent studies have focused on examining the changes in traffic conditions and crash rates before and during the pandemic, not enough research has been conducted to identify risk factors to crash severity. Even the limited research addressing the contributing factors to crash severity were focused on the pool category of drivers and no insight is available regarding older drivers, one of the most vulnerable groups to traffic collision and coronavirus. Moreover, these studies investigated the early impact of the COVID-19 pandemic mostly using up to three months of data. However, near-term and long-term effects of the COVID-19 pandemic are still unknown on traffic collisions. Therefore, this study aims to contribute to the literature by studying the near-term impact of the COVID-19 pandemic on crash size and severity among older drivers. To this end, a relatively large sample of crash data with senior drivers at fault was obtained and analyzed. To identify the main contributing factors affecting crash outcomes, Exploratory Factor Analysis was conducted on a high-dimension data set to identify potential latent factors which were validated through Confirmatory Factor Analysis. After that, Structural Equation Modeling technique was performed to examine the associations among the identified independent latent factors and the dependent variable. Additionally, SEM model identified the impact of the COVID-19 pandemic on seniors' crash severity. The findings reveal that several latent variables were the significant predictors of crash severity of older drivers including "Driving maneuver & crash location", "Road features and traffic control devices", "Driver condition & behavior", "Road geometric characteristics", "Crash time and lighting", and "Road class" latent factors. The binary variable of "Pandemic" was found to be as highly significant as the last four latent factors mentioned above. This means not only were older drivers more likely to be involved in higher crash size with higher severity level during the pandemic period, but also "Pandemic" was a risk factor to seniors as much as "Driver condition & behavior", "Road geometric characteristics", "Crash time & lighting", and "Road class" factors. The results of this study provide useful insights that may improve road safety among senior drivers during pandemic periods like COVID-19.

Oxidative stress, biochemical, and histopathological changes associated with acute lumpy skin disease in cattle.

Background and Aim: Lumpy skin disease (LSD) is a highly infectious endemic viral disease of cattle in Africa and the Middle East. The objectives of this study were to assess histopathological changes in cattle infected with LSD and measure serum malondialdehyde (MDA - oxidant) and total anti-oxidant capacity (TAC - anti-oxidant), trace elements (zinc, copper, and iron), cytokines (interleukin [IL]-1ß, IL-6, and tumor necrosis factor-alpha [TNF-α]), haptoglobin (Hp), serum amyloid A (SAA), aspartate aminotransferase (AST), alanine aminotransferase (ALT), creatine phosphokinase (CPK), blood urea nitrogen (BUN), and creatinine concentrations. Materials and Methods: Blood samples were collected from a total of sixty native and mixed breed cattle; (healthy; n = 25) and (LSD diseased; n = 35). Serum concentrations of MDA and TAC were measured by colorimetric methods. Serum IL-1ß, IL-6, IL-10, TNF-α, Hp, and SAA concentrations were determined using human-specific enzyme-linked immunoassay kits. Results: Serum MDA, cytokine (IL-1ß, IL-6, and TNF-α), Hp, SAA, AST, ALT, CPK, BUN, and creatinine concentrations were significantly higher, while TAC, IL-10, zinc, copper, and iron concentrations were significantly lower in LSD compared to healthy cattle (p < 0.05). Cows and exotic mixed breed cattle were at higher risk of LSD oxidative stress than bulls and local breeds (p < 0.05). Age was not associated with the risk of LSD (p > 0.05). Histologically, there was extensive tissue necrosis, severe vasculitis, mononuclear cell infiltration, and intracytoplasmic inclusion bodies. Conclusion: LSD is associated with pro-oxidative and pro-inflammatory states from imbalances that favor pro-oxidant and pro-inflammatory factors in the detriment of anti-oxidant and anti-inflammatory factors, leading to organ dysfunction and ultimately death. Oxidative stress is more frequent in cows and mixed breed cattle than in bulls and local breeds.

Obstetric venous thromboembolism: a one-year prospective study in a tertiary hospital in Egypt.

BACKGROUND AND OBJECTIVE: Obstetric venous thromboembolism (VTE) poses a life-threating burden and it is one of the major causes of maternal morbidity and mortality with an increased incidence throughout the last decades. The objectives of this study were to assess the incidence of VTE, types of prophylaxis received, and factors determining prophylaxis in women at VTE risk during pregnancy and puerperium at a tertiary hospital for 1 year. METHODS: This is a prospective study that was carried out at Minia maternity university hospital, Egypt during the period from June 2018 to June 2019. The study included women attended the hospital at risk of VTE as per the RCOG guidelines. Full history, patient characteristics, and VTE risk factors were assessed. RESULTS: During the study period, a total of 901 women attended the hospital and perceived at risk of VTE (298 cases during pregnancy and 603 cases during puerperium), about half of them were mild in intensity. They comprise 8.22% of the total deliveries during the study period (n = 10,956). About two-thirds of them (71.5%) had a cesarean delivery. Varicose veins were found in 209 cases (23.2%), previous VTE in 189 cases (21.0%), previous superficial vein thrombosis was recorded in 240 cases (26.6%) and previous arterial ischemic events in 83 cases (9.2%). The vast majority of patients (99.6%) received the pharmacological type of prophylaxis (55.6% of them received unfractionated heparin and the rest of them 43.9% received Aspirin). Only six cases developed VTE from the total included cases with an incidence of 0.55/1000 maternities (0.055%). Obesity (BMI >30 kg/m2) and cesarean delivery were significant factors that determine VTE prophylaxis with an odds ratio of 1.68 (95% CI, 1.20-2.35, p < .01) and 2.05 (95% CI, 1.49-2.80, p < .01), respectively. CONCLUSION: The incidence of women perceived at VTE risk was 8.22%, about half of them were mild in intensity. The risk of VTE was higher during the postpartum period than that during pregnancy. The incidence of VTE was 0.55/1000 overall maternities (0.055%). The pharmacological type of prophylaxis was the predominant used type. Obesity and cesarean delivery were significant factors determining VTE prophylaxis.

Biochemical and histopathological changes related to the topical application of Aloe vera ointment for canine pyoderma.

BACKGROUND AND AIM: Pyoderma is common in dogs, and its treatment requires a novel medication rather than antibiotic therapy. This study aimed to determine the biochemical and histopathological changes associated with the topical application of Aloe vera 20% and 40% ointments, compared with gentamicin 0.1% ointment, in dogs suffering from Staphylococcus aureus pyoderma. MATERIALS AND METHODS: Serum and skin samples were collected from a negative control group before inducing pyoderma and from other subdivided groups on the 3rd, 7th, 10th, and 14th days post-inoculation for biochemical and histopathology examination. RESULTS: Serum aspartate aminotransferase, alanine aminotransferase (ALT), urea, and creatinine concentrations were higher in the positive control dogs on the 3rd day without treatment (DWT) compared with the negative control dogs (p<0.05). Compared with the healthy control dogs, serum zinc concentrations were lower in the positive control group on the 3rd, 7th, and 10th DWT and in dogs treated with A. vera 20% and gentamicin 0.1% ointments on the 3rd and 7th days post-treatment (p<0.05). Grossly, skin had erythema, pruritus, and pus-filled pustules of the untreated group. Microscopically, skin showed epidermal necrosis and edema, dermal collagen necrosis, and severe neutrophilic infiltration. CONCLUSION: Compared with A. vera 20% and gentamicin 0.1% ointments, the topical application of A. vera 40% ointment-induced quicker skin healing and decreased the inflammatory changes caused by S. aureus inoculation, based on biochemical and histopathological changes reflective of its curative efficiency. A. vera 40% ointment may be a suitable alternative to antibiotics for the treatment of staphylococcal pyoderma in dogs.

A deep learning based traffic crash severity prediction framework.

Highway work zones are most vulnerable roadway segments for congestion and traffic collisions. Hence, providing accurate and timely prediction of the severity of traffic collisions at work zones is vital to reduce the response time for emergency units (e.g., medical aid), accordingly improve traffic safety and reduce congestion. In predicting the severity of traffic collisions, previous studies used different statistical and machine learning models with accuracy as the main evaluating factor. However, the performance of these models was generally not good, especially on fatal and injury crashes. Also, looking into the prediction accuracy only is misleading. This paper aims to propose a novel deep learning-based approach with a customized f1-loss function to predict the severity of traffic crashes. Underlying this objective is to compare the results of deep learning models with machine learning model considering two performance indicators, namely precision, and recall. The data used in the analysis include a sample of traffic crashes that occurred at work zones in Louisiana from 2014 to 2018. This dataset includes valuable information (features) related to road, vehicle, and human factors affecting the occurrence and severity of those crashes. The proposed methodology is based on transforming these features/variables into images. Image transformation is conducted using a nonlinear dimensionality reduction technique t-SNE and convex hull algorithm. A CNN based deep learning algorithm with a customized loss function was used to directly optimize the model for precision and recall. The results showed improved performance in predicting the crash severity of fatal and injury crashes using the deep learning approach, which can help to improve traffic safety as well as traffic congestion at work zones and possibly other roadways segments.

Exploring the determinants of older adults' susceptibility to pedestrians' incidents.

Older pedestrians (65 years and above) are among the most vulnerable road users. As the number and proportion of older adults grows in many countries, and awareness of the benefits of active travel becomes increasingly evident, it behooves researchers to further investigate the safety of older pedestrians. This study contributes to the literature by examining the factors that influence older adults' susceptibility to pedestrian incidents (falls incidents and pedestrian-vehicle collisions). To this end, a sample of older adults living in the Greater Golden Horseshoe, South Ontario, Canada was surveyed. The data were analyzed using descriptive statistics, Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM), to identify several latent factors that are significantly associated with older adults' involvement in pedestrian incidents. The results revealed that the factors that affect older adults' susceptibility to pedestrian incidents are level of difficulty while walking, fear of falling, and crossing evaluation capability. In contrast, level of pedestrian confidence and level of risk-taking crossing behavior are not among the significant factors. It was also found that older pedestrians aged 65-75 years, males, and those who are still working had a greater probability to be involved in pedestrian incidents. These findings shed light on some key constraints of older pedestrians, and the extent to which each factor could improve their safety. This information, in turn, can be used by transportation authorities in prioritizing their plans, policies, and programs towards improving the safety and mobility of older pedestrians.

The therapeutic efficacy of Aloe vera gel ointment on staphylococcal pyoderma in dogs.

BACKGROUND AND AIM: Staphylococcus pyoderma is a common problem in dogs that need a novel treatment rather than antibiotic therapy. The aim of this study was to investigate the therapeutic efficacy, anti-inflammatory, and antioxidative properties of Aloe vera (Aloe barbadensis) gel ointment on dogs' Staphylococcus pyoderma compared to gentamicin ointment. MATERIALS AND METHODS: The inhibition zone of A. vera extract 20% and 40% and gentamicin 1% against Staphylococcus aureus was determined on well diffusion agar. Twenty Baladi local breed dogs were used as control negative group before intradermal inoculation with 105 CFU S. aureus. The animals were classified into four equal groups, control positive group without treatment (n=5), treated groups by 20% A. vera gel ointment (n=5), 40% A. vera gel ointment (n=5), and gentamicin ointment 1% (n=5). Topical application of A. vera and gentamicin ointments was carried out twice daily for 2 weeks until complete healing of dogs' pyoderma. Clinical evaluation was recorded. Inflammatory, oxidant, and antioxidant parameters were measured in serum. RESULTS: The inhibition zone of A. vera extracts 20% and 40% was 19 mm and 23 mm, respectively, while gentamicin 1% was 18 mm. The half maximal inhibitory concentration (of A. vera 20% and 40% were 13.70 with R2=0.98. Dogs' pyoderma treated with A. vera gel ointment 20% and 40% were more likely to have low haptoglobin and tumor necrosis factor-α concentrations than gentamicin 1% ([odds ratio [OR]=4.6; 95% confidence interval [CI]=1.31-17.40; p<0.05]; [OR=5.2; 95% CI=1.04-22.30; p<0.05]), respectively. CONCLUSION: It seems evident that A. vera has therapeutic effect, antibacterial, and anti-inflammatory effects against dogs' staphylococcal pyoderma than gentamicin that would support its further use rather than antibiotics in one health arena.

Serotyping, Genotyping and Virulence Genes Characterization of Pasteurella multocida and Mannheimia haemolytica Isolates Recovered from Pneumonic Cattle Calves in North Upper Egypt.

Pasteurella (P.) multocida and Mannheimia (M.) haemolytica are the most two common pathogenic bacterial agents causing pneumonia in calves. Both bacteria are associated with significant economic losses in the cattle industry due to high morbidity and mortality rates, especially in the case of severe infections. The objectives of the present study were to perform serotyping and genotyping, as well as characterization of the virulence-associated genes in 48 bacterial isolates; 33 P. multocida and 15 M. haemolytica. All strains were isolated from pneumonic cattle calves showing respiratory manifestations such as fever, nasal discharges, and rapid breathing in North Upper Egypt governorates (Beni-Suef and El-Fayoum). PCR was applied as a confirmatory test using a specific universal gene, kmt1, and rpt2 for P. multocida and M. haemolytica, respectively. The results show that 29 (87.9%) P. multocida and 15 (100%) M. haemolytica isolates were positive for the corresponding universal gene. The results of serotyping indicate that 86.2% of P. multocida isolates belonged to serotype B:2, while 13.8% were untyped. Meanwhile, 60% and 40% of M. haemolytica isolates belonged to serotype 2 and serotype 1, respectively. Investigation of virulence-associated genes showed that all the tested P. multocida isolates harbored nanB, omp87, and toxA genes. Four M. haemolytica isolates harbored both gcp and lktC genes and of these, three isolates harbored the ssa gene. Sequencing of toxA gene of P. multocida and lktC gene of M. haemolytica in the current strains indicated a great homology with strains uploaded in gene banks from different hosts and localities worldwide.

A systematic assessment of the use of opponent variables, data subsetting and hierarchical specification in two-party crash severity analysis.

Road crashes impose an important burden on health and the economy. Numerous efforts have been undertaken to understand the factors that affect road collisions in general, and the severity of crashes in particular. In this literature several strategies have been proposed to model interactions between parties in a crash, including the use of variables regarding the other party (or parties) in the collision, data subsetting, and estimating models with hierarchical components. Since no systematic assessment has been conducted of the performance of these strategies, they appear to be used in an ad-hoc fashion in the literature. The objective of this paper is to empirically evaluate ways to model party interactions in the context of crashes involving two parties. To this end, a series of models are estimated using data from Canada's National Collision Database. Three levels of crash severity (no injury/injury/fatality) are analyzed using ordered probit models and covariates for the parties in the crash and the conditions of the crash. The models are assessed using predicted shares and classes of outcomes, and the results highlight the importance of considering opponent effects in crash severity analysis. The study also suggests that hierarchical (i.e., multi-level) specifications and subsetting do not necessarily perform better than a relatively simple single-level model with opponent-related factors. The results of this study provide insights regarding the performance of different modelling strategies, and should be informative to researchers in the field of crash severity.

Maternal, fetal, and neonatal outcomes among different types of hypertensive disorders associating pregnancy needing intensive care management.

Objective: To assess the relationship between maternal, fetal, and neonatal outcomes and different forms of hypertensive disorders associating pregnancy in women needed intensive care units (ICUs) admission.Methods: A prospective case control study was conducted on 1238 women admitted to hypertensive ICU at three university hospitals. They were classified into four groups. Group I included 472 women with severe preeclampsia (PE), Group II included 243 women with eclampsia (E), Group III included 396 women diagnosed with E associated with HELLP syndrome, and Group IV included 127 women diagnosed as HELLP syndrome. All women received magnesium sulfate to prevent and/or control convulsions and nifedipine to control their blood pressure. Primary outcome parameter was maternal mortality. Other outcomes included maternal morbidities, fetal, and neonatal outcomes.Results: There was a significant difference among the study groups regarding the need for blood transfusion (58.1%, 70%, 84.3%, and 42.5% respectively, p < .001), number of transferred units (2.4 ± 1, 2.9 ± 0.9, 3.4 ± 1.1, and 3.5 ± 0.8 respectively, p < .001), placental abruption (23.3%, 16.5%, 30.3%, and 19.7% respectively, p < .001), pulmonary edema (14.8%, 22.6%, 19.9%, and 34.6% respectively, p < .001), multiple complications (12.5%, 12.3%, 19.9%, and 26% respectively, p < .001), and maternal mortality (1.9%, 4.1%, 6.1%, and 5.5% respectively, p < .001). Regarding fetal and neonatal outcomes, there was a significant difference among the four groups regarding Apgar score at 1 and 5 min, neonatal birth weight, neonatal intensive care unit (NICU) admission, NICU admission days, intrauterine growth restriction, perinatal death, respiratory distress syndrome, intraventricular hemorrhage, sepsis, and the need for mechanical ventilation (p < .001). Higher rate of vaginal delivery was reported in women with HELLP (40.9%) and severe PE (39.8%) and higher rates of performing cesarean section (CS) in women with eclampsia (77.8%). Maternal mortality is significantly related to delivery with CS, younger maternal age with lower parity, and the presence of placental abruption or pulmonary edema. For Groups III and IV, which included HELLP cases, there are significant differences between both groups as regards HELLP classes according to Mississippi classification, also significant differences were seen between both groups as regards, maternal mortality, abruptio placenta, pulmonary edema, multiple organ damage, NICU admission, perinatal deaths, and need for mechanical ventilation.Conclusion: Both maternal mortality and morbidity (placental abruption and need for blood transfusion) are significantly higher in women with HELLP syndrome worsens to become class 1 regardless of whether eclampsia is present or not.Synopsis: Maternal mortality and unfavorable outcome are significantly higher in women with HELLP syndrome whether it was associated with eclampsia or not.

Realization of fractional-order capacitor based on passive symmetric network.

In this paper, a new realization of the fractional capacitor (FC) using passive symmetric networks is proposed. A general analysis of the symmetric network that is independent of the internal impedance composition is introduced. Three different internal impedances are utilized in the network to realize the required response of the FC. These three cases are based on either a series RC circuit, integer Cole-impedance circuit, or both. The network size and the values of the passive elements are optimized using the minimax and least m th optimization techniques. The proposed realizations are compared with well-known realizations achieving a reasonable performance with a phase error of approximately 2 o . Since the target of this emulator circuit is the use of off-the-shelf components, Monte Carlo simulations with 5 % tolerance in the utilized elements are presented. In addition, experimental measurements of the proposed capacitors are preformed, therein showing comparable results with the simulations. The proposed realizations can be used to emulate the FC for experimental verifications of new fractional-order circuits and systems. The functionality of the proposed realizations is verified using two oscillator examples: a fractional-order Wien oscillator and a relaxation oscillator.

Serum vitamin A and E, copper, zinc and selenium concentrations and their relationship with health outcomes in dromedary hospitalized camels (Camelus dromedarius).

The goals of this study were to measure serum vitamin A (retinol) and E (α-tocopherol) and trace elements concentrations (copper, zinc and selenium) during diseases condition and to determine their association with hematological parameters and immune status of hospitalized camels. A total of 95 dromedary camels [healthy (n=65); hospitalized camels (n=30)] were included in this study. Vitamin A and E concentrations were significantly lower in hospitalized camels than apparently healthy ones (P<0.05). Hospitalized camels had lower concentrations of zinc and selenium compared to healthy camels (P<0.05). Vitamin E, copper, zinc and selenium concentrations were positively correlated with phagocytic activity in hospitalized camels (P<0.05). The likelihood of deficiency of vitamin A and E, zinc and selenium concentrations were significant in female hospitalized camels than males and in young age hospitalized camels < 6 years old compared to old ones (P<0.05). Decreased vitamin A and E and trace elements concentrations were associated with hospitalized camels' phagocytic activity and index. The prevalence of low vitamin A and E, zinc and selenium concentrations were frequent in female hospitalized camels and hospitalized camels of age < 6 years old suggesting severe oxidative stress.

Inhibitors of elastase stimulate murine B lymphocyte differentiation into IgG- and IgA-producing cells.

It is well established that dendritic cells and macrophages play a role in antigen presentation to B and T cells and in shaping B and T cell responses via cytokines they produce. We have previously reported that depletion of neutrophils improves the production of mucosal IgA after sublingual immunization with Bacillus anthracis edema toxin as adjuvant. These past studies also demonstrated that an inverse correlation exists between the number of neutrophils and production of IgA by B cells. Using specific inhibitors of elastase, we addressed whether the elastase activity of neutrophil could be the factor that interferes with production of IgA and possibly other immunoglobulin isotypes. We found that murine splenocytes and mesenteric lymph node cells cultured for 5 days in the presence of neutrophil elastase inhibitors secreted higher levels of IgG and IgA than cells cultured in the absence of inhibitors. The effect of the inhibitors was dose-dependent and was consistent with increased frequency of CD138+ cells expressing IgG or IgA. Finally, neutrophil elastase inhibitors increased transcription of mRNA for AID, IL-10, BAFF and APRIL, factors involved in B cell differentiation. These findings identify inhibitors of elastase as potential adjuvants for increasing production of antibodies.

Investigation of drivers' behavior towards speeds using crash data and self-reported questionnaire.

Speeding is a key contributing factor in roadway crashes in the United Arab Emirates (UAE) and elsewhere. Understanding how drivers behave towards speed management devices (i.e., speed cameras, radars, speed limits and speed warning signs) as well as factors affecting drivers' involvement in speed-related crashes might help in improving traffic safety. This study aims to identify and quantify the factors that affect drivers' compliance with speed enforcement and management devices as well as drivers' involvement in at-fault speed-related crashes in the Emirate of Abu Dhabi (AD), UAE. Two different datasets were collected from the same drivers' population in AD to provide different valuable information regarding the speeding problem. The first dataset was obtained from crashes' reports while, the second dataset was obtained from a self-reported questionnaire survey that was carried out among a total of 442 drivers in AD. Three logistic regression models were developed to identify the significant variables that affect (1) the occurrence of speed related crash (using crashes reports data), (2) drivers' compliance with speed limits (using questionnaire data), and (3) involvement in at-fault speed related crashes (using questionnaire data). The findings revealed that drivers' factors (gender, age, and nationality), vehicle factor (vehicle type), roads and environment factors (weather, road type and speed limit) were the significant factors that affect the occurrence of speed-related crashes in AD. The questionnaire findings revealed that running late, low values of posted speed limits and no sufficient police enforcement were the three main reasons that make motorists drive over the speed limits. In addition, the results indicated that drivers' characteristics (i.e., gender, education and income), drivers' responses to speed enforcement and management devices, and drivers' awareness about the importance of such devices in improving traffic safety were the main factors that affecting both drivers' compliance with speed enforcement devices and drivers' involvement in at-fault speed-related crashes. A comparison between the analysis results of traffic crashes and questionnaire datasets as well as a comparison between the findings of this study and existing literature are also provided.

Inhalable nanocomposite microparticles: preparation, characterization and factors affecting formulation.

INTRODUCTION: Nanocomposite microparticles are intelligent carriers utilised for pulmonary drug delivery. These carriers are composed of drug-encapsulated nanoparticles dispersed in microstructures of polysaccharides. Upon administration, the inhaled microparticles can penetrate and be deposited deeply in the lung due to their adjusted aerodynamic particle size. Subsequently, the nanoparticles are released into the lung and are retained there for a prolonged time due to their resistance to immunological opsonisation, engulfment and digestion. AREA COVERED: Nanocomposite microparticles may be prepared by spray drying, spray freeze drying, spray drying fluidised bed granulation or dry coating techniques. The selection of the included excipients, preparation technique and optimisation of the operational parameter play a significant role in the determination of the aerodynamic particle size, redispersibility of the nanoparticles, morphology, yield, moisture content, flowability and in vitro drug release. Moreover, the in vivo behaviour of this novel carrier may be optimised and traced by studying the lung deposition of the inhaled particles and the biological activity of the encapsulated drug. EXPERT OPINION: Nanocomposite microparticles have been found to be superior to both nanoparticles and microparticles and may represent a promising carrier for pulmonary drug delivery.

Profiling of proteins and proteases in the products of the salivary gland, digestive tract and excretions from larvae of the camel nasal botfly, Cephalopina titillator (Clark).

Proteins and proteolytic activities in the contents of the salivary gland (SGc), digestive tract (DTc) and excretory-secretory products (ESP) from larvae of the camel nasal botfly Cephalopina titillator were separated electrophoretically, and characterized. The protein profiles of the different samples were qualitatively quite similar in the larval stages L2 and L3. Zymogram analysis of proteases in the samples indicated that the digestive tract contained a greater variety of proteases than the salivary gland or the excretory-secretory products. They are mainly serine proteases. Proteases of ESP and DTc (especially of 3rd instar) contain trypsin- and chymotrypsin-like serine proteases, while the serine proteases of SGc are not of the trypsin- or chemotrypsin-type.