55 research outputs found

    4-Hy­droxy-2-methyl-1,1-dioxo-2H-1λ6,2- benzothia­zine-3-carb­oxy­lic acid hemihydrate

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    In the title compound, C10H9NO5S·0.5H2O, two geometrically different organic mol­ecules are present. The benzene rings and the carboxyl­ate groups are oriented at dihedral angles of 13.44 (4) and 21.15 (18)°. In both mol­ecules, an intra­molecular O—H⋯O hydrogen bond generates an S(6) ring. In the crystal, both moleucles form inversion dimers linked by pairs of O—H⋯O hydrogen bonds to generate R 2 2(8) loops. The dimers are consolidated into chains extending along [100] by bridging O—H⋯O hydrogen bonds from the water mol­ecule. A weak C—H⋯O hydrogen bond also occurs

    Noninvasive Methods for Condition Monitoring and Electrical Fault Diagnosis of Induction Motors

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    This chapter provides a comprehensive analysis of noninvasive methods to diagnose stator winding insulation faults of an induction motor. Further, a novel noninvasive method is proposed to diagnose the root cause of winding failure due to unbalanced voltage to avoid catastrophic failure. Therefore, a winding function approach is utilized to derive an analytical expression for stator winding distribution and magnetomotive force (MMF). This tactic qualifies the conductor segment that generates MMF, and it also helps to analyze a healthy current spectrum. One can easily observe higher order harmonics in current spectrum; therefore, a new series of rotor harmonics is introduced to diagnose unbalanced supply. The locus of these harmonics is dependent on the poles, rotor bars, and slip. Due to the rapid complexity in industrial plants, it is inconceivable to continue human inspection to diagnose the faults. Thus, to avoid human inspection, in addition to new series of rotor harmonic, a fully automatic method based on neural network is proposed. This method not only diagnoses unbalanced voltage but it also recognize the percentage of unbalanced voltage by use of feed-forward multilayer perceptron (MLP) trained by back propagation. Finally, the experimental results shows the validation of this research work proposed method

    2,3-Dihydro-1λ6,2-benzothia­zine-1,1,4-trione

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    In the title compound, C8H7NO3S, the benzene ring is oriented at a dihedral angle of 69.25 (7)° to the S and O atoms of the sulfonyl group. The heterocyclic ring approximates to an envelope, with the N atom in the flap position. In the crystal, mol­ecules are linked by N—H⋯Oc (c = carbon­yl) hydrogen bonds, forming C(5) chains along [001]. Two R 2 2(10) loops arise from pairs of C—H⋯O hydrogen bonds and a weak aromatic π–π stacking inter­action [centroid–centorid separation = 3.8404 (11) Å] also occurs

    The Effect of the Extracts of Betel (Piper betel) Leaves on the Content of IL-1? as the Inflammatory Cytokine in Experimental Mice Using an Acute Wound Healing Modeling

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    This study aims to determine the effect of ethyl acetate derived from the leaves extraction of betel (Piper betel) on the content of Interleukin-1? (IL-1?) in experimental mice using an acute wound healing modeling. The experimental design used randomized post test only group with 72 experimental mice which divided into 4 groups and each group consisted of 6 mice with three replications. The negative control group (I) was given vaseline after incision. The positive control group (II) was given bioplasenton. The third group (III) was topically given the extracts of betel leaves at 2% concentration and the fourth group (IV) was given the extracts of betel leaves at 3% concentration after incision respectively. The determination of IL-1? applied Immunoassay Quantikine Elisa (IQE). The quantitative analysis (statistical test) used complete randomized design using one-way anova with Spearma

    Artificial Neural Networks for Prediction of Tuberculosis Disease

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    Background: The global burden of tuberculosis (TB) and antibiotic resistance is attracting the attention of researchers to develop some novel and rapid diagnostic tools. Although, the conventional methods like culture are considered as the gold standard, they are time consuming in diagnostic procedure, during which there are more chances in the transmission of disease. Further, the Xpert MTB/RIF assay offers a fast diagnostic facility within 2 h, but due to low sensitivity in some sample types may lead to more serious state of the disease. The role of computer technologies is now increasing in the diagnostic procedures. Here, in the current study we have applied the artificial neural network (ANN) that predicted the TB disease based on the TB suspect data.Methods: We developed an approach for prediction of TB, based on an ANN. The data was collected from the TB suspects, guardians or care takers along with samples, referred by TB units and health centers. All the samples were processed and cultured. Data was trained on 12,636 records of TB patients, collected during the years 2016 and 2017 from the provincial TB reference laboratory, Khyber Pakhtunkhwa, Pakistan. The training and test set of the suspect data were kept as 70 and 30%, respectively, followed by validation and normalization. The ANN takes the TB suspect’s information such as gender, age, HIV-status, previous TB history, sample type, and signs and symptoms for TB prediction.Results: Based on TB patient data, ANN accurately predicted the Mycobacterium tuberculosis (MTB) positive or negative with an overall accuracy of >94%. Further, the accuracy of the test and validation were found to be >93%. This increased accuracy of ANN in the detection of TB suspected patients might be useful for early management of disease to adopt some control measures in further transmission and reduce the drug resistance burden.Conclusion: ANNs algorithms may play an effective role in the early diagnosis of TB disease that might be applied as a supportive tool. Modern computer technologies should be trained in diagnostics for rapid disease management. Delays in TB diagnosis and initiation treatment may allow the emergence of new cases by transmission, causing high drug resistance in countries with a high TB burden

    Evaluation of a Portable Gynecological Examination Table on Increasing Access to Cervical Cancer Screenings

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    Introduction: Cervical cancer is a preventable disease affecting millions of women worldwide, with higher prevalence and mortality in developing countries. One explanation of this disparity is due to reduced access to screenings, especially in rural communities where mobile health clinics are limited by what medical equipment they can bring. To address these barriers, an engineering team called Project MESA (Making Examinations Safe and Accessible) designed a gynecological examination table that is portable, lightweight, and easily sanitizable. Objective: This study aims to (1) evaluate whether the implementation of this device improves the clinician’s ability to perform pap smears as opposed to alternative surfaces, and (2) investigate the impact on patients’ comfort with cervical cancer screening. Methods: Two gynecological exam tables are being used by a partner organization with clinics in Perú and Nicaragua. Since September of 2022, 42 responses have been recorded. Using clinician and patient questionnaires that were developed based on field observations, the team will perform a mixed methods analysis to compare clinician and patient preferences on the new device versus alternative surfaces. Results: Preliminary data may support greater clinician and patient satisfaction with the new device, but cannot be statistically confirmed yet due to ongoing data collection. Results that can be discussed are dynamic testing on the gynecological table which supported safety through 15,600 uses and positive feedback from many clinicians and international partners. Conclusion: This project provides a construct to address barriers to cervical cancer screenings, with more quantitative results becoming available soon

    An Intelligent Automated Method to Diagnose and Segregate Induction Motor Faults

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    In the last few decades, various methods and alternative techniques have been proposed and implemented to diagnose induction motor faults. In an induction motor, bearing faults account the largest percentage of motor failure. Moreover, the existing techniques related to current and instantaneous power analysis are incompatible to diagnose the distributed bearing faults (race roughness), due to the fact that there does not exist any fault characteristics frequency model for these type of faults. In such a condition to diagnose and segregate the severity of fault is a challenging task. Thus, to overcome existing problem an alternative solution based on artificial neural network (ANN) is proposed. The proposed technique is harmonious because it does not oblige any mathematical models and the distributed faults are diagnosed and classified at incipient stage based on the extracted features from Park vector analysis (PVA). Moreover, the experimental results obtained through features of PVA and statistical evaluation of automated method shows the capability of proposed method that it is not only capable enough to diagnose fault but also can segregate bearing distributed defects

    Evaluation of Topical Red Dragon Fruit Extract Effect (Hylocereus Polyrhizus) on Tissue Granulation and Epithelialization in Diabetes Mellitus (DM) and Non-DM Wistar Rats: Pre Eliminary Study

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    The use of natural materials as wound healing is an alternative that is widely used. Red Dragon Fruit Extract (EBNM) has antioxidant and anti-inflammatory content that is needed to accelerate the wound healing, but studies have reported effects on wound healing is still limited. The purpose of this study was to evaluate the effect of topical Red Dragon Fruit Extract on DM wound and Non-DM wound healing in Wistar rats. This research method is an Experimental Study with post-test with control group design. Albino Male Wistar rat (n = 18) with the weight (200-250 grams) were divided into 2 groups (group A (n = 9) Wistar DM + incision divided into 3 groups, each with 3 rats and group B (n = 9) Non-DM Wistar + incision divided into 3 groups of each 3 rats). Furthermore Wistar rat wounded in the back left and right using 8 mm punch biopsy. 7.5% topical Red Dragon Fruit Extract cream was applied to the surface of the wound with the cotton bud. Tissue preparat colored with Hematoxylin and Eosin (HE) then the wound healing parameters were assessed; the thickness of the granulation tissue and epithelialization with histopathology assessment. Data were analyzed using independent T test and paired T test (SPSS 21, Chicago Inc.) Granulation scores tend to be better at a concentration of 7.5% in the topical Red Dragon Fruit Extract than the negative control group for DM (p <0.068) and non-DM (p <0.034). Epithelialization Scores are better at concentrations of 7.5% in Topical Red Dragon Fruit Extract group than the negative control group for DM (p <0.034) and non DM (p <0.034). Topical Red Dragon Fruit Extract 7.5% increase the growth of granulation tissue and epithelialization in wound healing of acute non-DM and DM at Wistar rats

    Effects of a high-dose 24-h infusion of tranexamic acid on death and thromboembolic events in patients with acute gastrointestinal bleeding (HALT-IT): an international randomised, double-blind, placebo-controlled trial

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    Background: Tranexamic acid reduces surgical bleeding and reduces death due to bleeding in patients with trauma. Meta-analyses of small trials show that tranexamic acid might decrease deaths from gastrointestinal bleeding. We aimed to assess the effects of tranexamic acid in patients with gastrointestinal bleeding. Methods: We did an international, multicentre, randomised, placebo-controlled trial in 164 hospitals in 15 countries. Patients were enrolled if the responsible clinician was uncertain whether to use tranexamic acid, were aged above the minimum age considered an adult in their country (either aged 16 years and older or aged 18 years and older), and had significant (defined as at risk of bleeding to death) upper or lower gastrointestinal bleeding. Patients were randomly assigned by selection of a numbered treatment pack from a box containing eight packs that were identical apart from the pack number. Patients received either a loading dose of 1 g tranexamic acid, which was added to 100 mL infusion bag of 0·9% sodium chloride and infused by slow intravenous injection over 10 min, followed by a maintenance dose of 3 g tranexamic acid added to 1 L of any isotonic intravenous solution and infused at 125 mg/h for 24 h, or placebo (sodium chloride 0·9%). Patients, caregivers, and those assessing outcomes were masked to allocation. The primary outcome was death due to bleeding within 5 days of randomisation; analysis excluded patients who received neither dose of the allocated treatment and those for whom outcome data on death were unavailable. This trial was registered with Current Controlled Trials, ISRCTN11225767, and ClinicalTrials.gov, NCT01658124. Findings: Between July 4, 2013, and June 21, 2019, we randomly allocated 12 009 patients to receive tranexamic acid (5994, 49·9%) or matching placebo (6015, 50·1%), of whom 11 952 (99·5%) received the first dose of the allocated treatment. Death due to bleeding within 5 days of randomisation occurred in 222 (4%) of 5956 patients in the tranexamic acid group and in 226 (4%) of 5981 patients in the placebo group (risk ratio [RR] 0·99, 95% CI 0·82–1·18). Arterial thromboembolic events (myocardial infarction or stroke) were similar in the tranexamic acid group and placebo group (42 [0·7%] of 5952 vs 46 [0·8%] of 5977; 0·92; 0·60 to 1·39). Venous thromboembolic events (deep vein thrombosis or pulmonary embolism) were higher in tranexamic acid group than in the placebo group (48 [0·8%] of 5952 vs 26 [0·4%] of 5977; RR 1·85; 95% CI 1·15 to 2·98). Interpretation: We found that tranexamic acid did not reduce death from gastrointestinal bleeding. On the basis of our results, tranexamic acid should not be used for the treatment of gastrointestinal bleeding outside the context of a randomised trial
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