Role of Color Flow Ultrasound in Detection of Deep Venous Thrombosis

Background: Deep vein thrombosis (DVT) of lower limbs is one of the most causes for the majority of death caused by pulmonary embolism. Many medical and surgical disorders are complicated by DVT. Most venous thrombi are clinically silent. B-mode and color Doppler imaging is needed for early diagnosis of DVT to prevent complications and squeal of DVT.Aim and objectives: the objectives of our study were to evaluate the role of color flow Doppler in the diagnosis of deep vein thrombosis (DVT), and subsequently to investigate its diagnostic value in patients who have normal deep veins despite symptoms.Patients and methods: prospective cross sectional study of 50 patients, 32 patients male, 18female, diagnosed on Doppler with DVTResults: Color Doppler flow imaging in 50 cases had sensitivity of 90%, specificity of 96.7%, positive predictive value of 94.7%, negative predictive value of 93.5%, and accuracy rate of 94%, with majority belonging to fifth decade (26%). In our study, predominantly distribution of thrombus was found to be in above knee region with (65.63%), while only 34.38% of them had DVT below knee.Conclusion: Color Doppler is useful in diagnosing DVT in symptomatic and at risk patients and provides non- invasive method of investigation. It is also helpful in evaluating the site, extent and stage of thrombus. Keywords: Color flow duplex venous examination, deep venous thrombosis, duplex scanning, pulmonary embolism, venous thromboembolis

Proposed Global Stratotype Sections and Points for the bases of the Selandian and Thanetian stages (Paleocene Series)

Prepared for the International Subcommission on Paleogene Stratigraph

Itty-bitty traps for monitoring spotted wing Drosophila (\u3cem\u3eDrosophila suzukii\u3c/em\u3e Matsumura), does size matter?

The objective of this study was to determine an optimal trap design and bait for spotted wing drosophila, Drosophila suzukii (Matsumura), in the wild blueberry agro-ecosystem. Two preliminary experiments were conducted in 2013 and 2014 to address this objective. In 2018, an experiment was conducted to evaluate the effect of the physical trap size, as perceived by the spotted wing drosophila, on trap capture efficacy. We found that the red Solo® cup trap was an optimal trap for monitoring spotted wing drosophila in wild blueberry and that inserting a yellow sticky card inside the trap or painting a black contrast ring around the top entrance holes resulted in no benefit. We also found in early experiments that the live yeast bait with sugar syrup either alone or with apple cider vinegar was a superior bait. Trap size affected trap capture abundance; when considering catches based on adjustments for bait volume or two-dimensional trap area, the small trap size was more efficient than the standard

Knowledge and attitude of primary care doctors towards management of postmenopausal symptoms

AbstractBackgroundAccording to the current recommendations, women with post-menopausal symptoms should be managed. Knowledge and perception of primary care physicians towards management of postmenopausal symptoms are deficient.AimThe aim of the present study was to explore knowledge and attitude of primary care doctors towards management of postmenopausal symptoms.MethodsThis study is a cross-sectional survey that was conducted from October to December 2010 in the five health regions in Kuwait. Two centers were selected randomly from each health region. All physicians who were currently working in the selected centers were asked to participate in the study. Out of 209 physicians, 142 agreed to participate and completed a self-administered questionnaire.ResultsThe study revealed that 82.4% of physicians had moderate knowledge about treatment options for postmenopausal symptoms, 88.0% discussed postmenopausal symptoms with their patients, and 45.1% of them either described or referred their patients for hormonal replacement therapy (HRT). The correct answers regarding 10 statements related to the Women Health Initiative finding were ranging from 2.8% to 78.9% which indicated low level of knowledge. Regarding the effectiveness of hormonal replacement therapy in postmenopausal women, the majority of the physicians agreed correctly that HRT is effective in prevention of osteoporosis (87.3%), treatment of vasomotor symptoms (83.7%), and treatment of vulvo-vaginal symptoms (82.4%). There was a variation among physicians opinion about the effectiveness of certain treatment options for managing hot flushes in postmenopausal women.ConclusionThe results suggest that there is a lack of primary care physicians knowledge and confidence in recognizing signs and symptoms of menopause and in identifying and prescribing appropriate management

4-(4-Fluoro­benzene­sulfonamido)­phenyl 4-fluoro­benzene­sulfonate

In the title compound, C18H13F2NO5S2, the complete mol­ecule is generated by a crystallographic inversion centre, and the O atom and the N—H group attached to the central ring are statistically disordered. The dihedral angle between the central and terminal benzene rings is 64.03 (6)°. In the crystal, N—H⋯O, C—H⋯F and C—H⋯O inter­actions link the mol­ecules into a three-dimensional network

Surface ocean pCO(2) seasonality and sea-air CO2 flux estimates for the North American east coast

Underway and in situ observations of surface ocean pCO(2), combined with satellite data, were used to develop pCO(2) regional algorithms to analyze the seasonal and interannual variability of surface ocean pCO(2) and sea-air CO2 flux for five physically and biologically distinct regions of the eastern North American continental shelf: the South Atlantic Bight (SAB), the Mid-Atlantic Bight (MAB), the Gulf of Maine (GoM), Nantucket Shoals and Georges Bank (NS+GB), and the Scotian Shelf (SS). Temperature and dissolved inorganic carbon variability are the most influential factors driving the seasonality of pCO(2). Estimates of the sea-air CO2 flux were derived from the available pCO(2) data, as well as from the pCO(2) reconstructed by the algorithm. Two different gas exchange parameterizations were used. The SS, GB+NS, MAB, and SAB regions are net sinks of atmospheric CO2 while the GoM is a weak source. The estimates vary depending on the use of surface ocean pCO(2) from the data or algorithm, as well as with the use of the two different gas exchange parameterizations. Most of the regional estimates are in general agreement with previous studies when the range of uncertainty and interannual variability are taken into account. According to the algorithm, the average annual uptake of atmospheric CO2 by eastern North American continental shelf waters is found to be between -3.4 and -5.4 Tg C yr(-1) (areal average of -0.7 to -1.0 mol CO2 m(-2) yr(-1)) over the period 2003-2010

What drives firms' commitment to fighting corruption? Evidence from the UK

The recent leak of the FinCEN files has highlighted the widespread presence of corruption in developing and developed economies, including the UK. Accordingly, this study aims to investigate the factors that drive companies to implement measures for preventing corruption in developed countries using FTSE 350 nonfinancial firms. Specifically, the research examines the influence of corporate social responsibility (CSR) commitments, board structure, and shareholding structure on adopting strategies, policies, and procedures aimed at countering corruption. Drawing upon agency, stakeholder, and legitimacy theories, our empirical evidence supports that CSR commitments and board independence positively influence firms' engagement in anticorruption measures. Conversely, institutional and managerial shareholdings are found to have a negative association with firms' efforts to combat corruption. In addition, the study shows that the effect of board characteristics became more pronounced following the enactment of the UK Bribery Act 2010, indicating risk-averse behavior. Various models, including cross-sectional and two-stage least squares (2SLS), are employed to analyze the data. Our findings have significant implications for understanding the complex relationship between CSR, corporate governance, and the ethical infrastructure of organizations. Ultimately, our results provide valuable insights for policymakers, companies, and other stakeholders in developing effective strategies, policies, and procedures to combat corruption activities

Fine Needle Aspiration Versus Open Biopsy for Testicular Sperm Recovery in Infertile Azoospermic Patients

Background and Objectives: This study aimed to develop a predictive model for sperm retrieval rate (SRR) sperm recovery by testicular fine-needle aspiration (TESA) & compare with (SRR) obtained by per cutanuose open biopsy sperm aspiration (PSA) correlating with hormonal parameters. Materials and Methods: This is a prospective study for sample obtained from 45 male patients during the period from January 2011 to March2012.Clinical, paraclinical, and histological information of patients were gathered. All patients underwent both TESA and PSA in a single operation. Predictors of SRR by TESA were identified comparing with predictive outcome of PSA. Statistical Analysis Used: Categorical and continuous variables were compared using independent t test and -chi-square test. Logistic regression model was applied to develop a predictive model for SRR by TESA & PSA outcome. Results: Sperm retrieval rate for TESA and PSA was 42.2% and 48.8%, respectively (P = 0.03).Regarding  age  group is more common in 4th  (50.3%), while  3rd  & 5th dacedes each of them (20%). The duration of infertility were variable ranging from (10-20) years. Testis volume, luteinizing hormone, prolactin, and testosterone did not differ between patients. Conclusions: Serum FSH and testicular pathology were predictors of SRR by TESA. Patients with FSH < 23 IU/l and/or testicular pathology of hypospermatogenesis had comparable SRR by TESA versus PSA

Normality of I-V Measurements Using ML

Electrochemistry ecosystems are promising for accelerating the design and discovery of electrochemical systems for energy storage and conversion, by automating significant parts of workflows that combine synthesis and characterization experiments with computations. They require the integration of flow controllers, solvent containers, pumps, fraction collectors, and potentiostats, all connected to an electrochemical cell. These are specialized instruments with custom software that is not originally designed for network integration. We developed network and software solutions for electrochemical workflows that adapt system and instrument settings in real-time for multiple rounds of experiments. We demonstrate this automated workflow by remotely operating the instruments and collecting their measurements to generate a voltammogram (I-V profile) of an electrolyte solution in an electrochemical cell. These measurements are made available at the remote computing system and used for subsequent analysis. In this paper, we focus on a novel, analytically validated machine learning (ML) method for an electrochemistry ecosystem to ensure that I-V measurements are consistent with the normal experimental conditions, and to detect abnormal conditions, such as disconnected electrodes or low cell content volume.Comment: published at eScience 202