A NOVEL SPECIALIZED SEARCH ENGINE FOR AI-MODELS AND THEIR COMPARISON

In recent years, the world of AI has tremendously increased in size and depth. Both new and old researchers are facing the problem of fast emerging AI researches, models and services. One needs to continuously read complete papers to understand the idea behind any novel research. This work presents a novel AI service that removes the burdens of long text reading and uncategorized search. It consists of a website that categorizes all the AI researches in a well-designed database. The users just have to select the models they are interested in, and the website will return a table containing the technical data in addition to a graph that shows visual relationships between the AI models, features and datasets. Future work will emphasize on developing the tool by applying NLP in two directions: one on the search box to retrieve the main keyword to search for, and the other on research papers to automatically extract the data into the website categorized database

Epidemiology of urinary tract infections and antibiotics sensitivity among pregnant women at Khartoum North Hospital

<p>Abstract</p> <p>Background</p> <p>Urinary tract infections (UTI) can lead to poor maternal and perinatal outcomes. Investigating epidemiology of UTI and antibiotics sensitivity among pregnant women is fundamental for care-givers and health planners.</p> <p>Methods</p> <p>A cross sectional study has been conducted at Khartoum north teaching hospital Antenatal Care Clinic between February-June 2010, to investigate epidemiology of UTI and antibiotics resistance among pregnant women. Structured questionnaires were used to gather data from pregnant women. UTI was diagnosed using mid stream urine culture on standard culture media</p> <p>Results</p> <p>Out of 235 pregnant women included, 66 (28.0%) were symptomatic and 169 (71.9%) asymptomatic. the prevalence of bacteriuria among symptomatic and asymptomatic pregnant women were (12.1%), and (14.7%) respectively, with no significant difference between the two groups (<it>P </it>= 0.596), and the overall prevalence of UTI was (14.0%). In multivariate analyses, age, gestational age, parity, and history of UTI in index pregnancy were not associated with bacteriuria. <it>Escherichia coli </it>(42.4%) and <it>S. aureus </it>(39.3%) were the commonest isolated bacteria. Four, 2, 2, 3, 4, 2 and 0 out of 14 <it>E. coli </it>isolates, showed resistance to amoxicillin, naladixic acid, nitrofurantoin, ciprofloxacin, co-trimoxazole, amoxicillin/clavulanate and norfloxacin, respectively</p> <p>Conclusion</p> <p><it>Escherichia coli </it>were the most prevalent causative organisms and showing multi drug resistance pattern, asymptomatic bacteriuria is more prevalent than symptomatic among pregnant women. Urine culture for screening and diagnosis purpose for all pregnant is recommended.</p

Antiretroviral therapy, CD4, viral load, and disease stage in HIV patients in Saudi Arabia: a 2001–2013 cross-sectional study

Introduction: The incidence of HIV/AIDS is increasing worldwide and in the Middle East. In this study, we analyzed the use of antiretroviral therapy (ART), the patterns of CD4 and viral load (VL), and stage of presentation. Methodology: Laboratory variables, ART use, and CD4 count were obtained and analyzed retrospectively. Results: A total of 997 cases from eight HIV/AIDS care providers were included. Of the total cases, 274 (28.3%) had a CD4 count of 5 log10. Of the total cases, 50% were on highly active antiretroviral therapy (HAART), and the majority of cases were asymptomatic (70%). Of those patients on ART, 247 (39.5%) took tenofovir/emtricitabine combined with either efavirenz (147; 14.7%) or lopinavir/ritonavir (100; 10%), and 158 (15.8%) were on lamivudine and zidovudine with either efavirenz (32; 3.2%) or lopinavir/ritonavir (126; 12.6%). Other combinations were used in 70 (7%) patients. The mean (± standard deviation) of baseline CD4 and viral load were 401 cells/mm3 (322 cells/mm3) and 4.6 log1010 (1.3 log10), respectively. At diagnosis, 72% of patients were asymptomatic; 50% had AIDS and 20% had CD4 count < 350. Conclusions: ART use was in line with international guidelines, but the number of patients receiving ART was lower than expected. Large proportions of cases presented late with AIDS at diagnosis or had CD4 < 350. Further data is needed to evaluate the medical care of patients with HIV/AIDS in the Kingdom of Saudi Arabia

Wind generation forecasting methods and proliferation of artificial neural network:A review of five years research trend

To sustain a clean environment by reducing fossil fuels-based energies and increasing the integration of renewable-based energy sources, i.e., wind and solar power, have become the national policy for many countries. The increasing demand for renewable energy sources, such as wind, has created interest in the economic and technical issues related to the integration into the power grids. Having an intermittent nature and wind generation forecasting is a crucial aspect of ensuring the optimum grid control and design in power plants. Accurate forecasting provides essential information to empower grid operators and system designers in generating an optimal wind power plant, and to balance the power supply and demand. In this paper, we present an extensive review of wind forecasting methods and the artificial neural network (ANN) prolific in this regard. The instrument used to measure wind assimilation is analyzed and discussed, accurately, in studies that were published from May 1st, 2014 to May 1st, 2018. The results of the review demonstrate the increased application of ANN into wind power generation forecasting. Considering the component limitation of other systems, the trend of deploying the ANN and its hybrid systems are more attractive than other individual methods. The review further revealed that high forecasting accuracy could be achieved through proper handling and calibration of the wind-forecasting instrument and method

An Efficient Scheme for Determining the Power Loss in Wind-PV Based on Deep Learning

Power loss is a bottleneck in every power system and it has been in focus of majority of the researchers and industry. This paper proposes a new method for determining the power loss in wind-solar power system based on deep learning. The main idea of the proposed scheme is to freeze the feature extraction layer of the deep Boltzmann network and deploy deep learning training model as the source model. The sample data with closer distribution with the data under consideration is selected by defining the maximum mean discrepancy contribution coefficient. The power loss calculation model is developed by configuring the deep neural network through the sample data. The deep learning model is deployed to simulate the non-linear mapping relationship between the load data, power supply data, bus voltage data and the grid loss rate during power grid operation. The proposed algorithm is applied to an actual power grid to evaluate its effectiveness. Simulation results show that the proposed algorithm effectively improved the system performance in terms of accuracy, fault tolerance, nonlinear fitting and timeliness as compared with existing schemes.publishedVersio

Prevalence and Predictors of Pulmonary Arterial Hypertension in a Sample of Iraqi Patients with Systemic Sclerosis: A Cross-Sectional Study

Background: Pulmonary arterial hypertension (PAH) is now the most frequent cause of death in systemic sclerosis (SSc). Aims: The aims of the present study were to evaluate the prevalence of pulmonary arterial hypertension (PAH) and predictors in SSc among Iraqi patients. Materials and Methods: A cross-sectional study conducted on 56 patients with SSc diagnosed according to the criteria developed by the American College of Rheumatology. Baseline characteristics [age, sex, body mass index (BMI), duration of SSc, type of SSc, duration of Raynaud’s phenomenon, and presence of telangiectasia] were documented.  Antiscleroderma 70 (anti-SCL70) and anticentromere antibodies were measured. Doppler echocardiography was done to diagnose PAH. A risk score was obtained from 7 criteria, namely: Anti-Centromere Ab, Limited disease type, short duration of Raynaud's phenomena (&lt;2.5 years), older age group (40+ years), absence of Telangiectasia, female gender, and absence of anti SCL70 Ab.  Results: We found that PAH was present in 11 (19.6%) SSc patients with a 95% confidence interval of (9.2% to 30.0%). Risk score in addition to anti-centromere antibodies were enough to diagnose PAH with accuracy level of 89.3%. Conclusions: PAH in SSc occurs in significant proportion of patients. Risk score and anti-centromere antibodies had high accuracy level in predicting PAH. Screening of patients with SSc for PAH will help in early diagnosis and appropriate timely therapeutic intervention before significant endorgan damage occurs. Key words Systemic sclerosis. Connective  tissue. Pulmonary hypertension

Visualization of Activated Platelets by Targeted Magnetic Resonance Imaging Utilizing Conformation-Specific Antibodies against Glycoprotein IIb/IIIa

Ruptured atherosclerotic plaques, lined with activated platelets, constitute an attractive target for magnetic resonance imaging (MRI). This study evaluated whether microparticles of iron oxide (MPIO) targeting ligand-induced binding sites (LIBS) on the activated conformation of glycoprotein IIb/IIIa could be used to image platelets. MPIO (size: 1 μm) were conjugated to anti-LIBS or control single-chain antibody. Following guidewire injury to mouse femoral artery, platelet adhesion was present after 24 h. Mice were perfused with anti-LIBS-MPIO (or control MPIO) via the left ventricle and 11.7-tesla MRI was performed on femoral arteries ex vivo. A 3D gradient echo sequence attained an isotropic resolution of 25 μm. MPIO binding, quantified by MRI, was 4-fold higher with anti-LIBS-MPIO in comparison to control MPIO (p < 0.01). In histological sections, low signal zones on MRI and MPIO correlated strongly (R2 = 0.72; p < 0.001), indicating accurate MR quantification. In conclusion, anti-LIBS-MPIO bind to activated platelets in mouse arteries, providing a basis for the use of function-specific single-chain antibody-MPIO conjugates for molecular MRI, and represent the first molecular imaging of a conformational change in a surface receptor. This presents an opportunity to specifically image activated platelets involved in acute atherothrombosis with MRI

Viral shedding and antibody response in 37 patients with MERS-coronavirus infection

Background. The Middle East respiratory syndrome (MERS) coronavirus causes isolated cases and outbreaks of severe respiratory disease. Essential features of the natural history of disease are poorly understood. Methods. We studied 37 adult patients infected with MERS coronavirus for viral load in the lower and upper respiratory tracts (LRT and URT, respectively), blood, stool, and urine. Antibodies and serum neutralizing activities were determined over the course of disease. Results. One hundred ninety-nine LRT samples collected during the 3 weeks following diagnosis yielded virus RNA in 93% of tests. Average (maximum) viral loads were 5 × 106 (6 × 1010) copies/mL. Viral loads (positive detection frequencies) in 84 URT samples were 1.9 × 104 copies/mL (47.6%). Thirty-three percent of all 108 serum samples tested yielded viral RNA. Only 14.6% of stool and 2.4% of urine samples yielded viral RNA. All seroconversions occurred during the first 2 weeks after diagnosis, which corresponds to the second and third week after symptom onset. Immunoglobulin M detection provided no advantage in sensitivity over immunoglobulin G (IgG) detection. All surviving patients, but only slightly more than half of all fatal cases, produced IgG and neutralizing antibodies. The levels of IgG and neutralizing antibodies were weakly and inversely correlated with LRT viral loads. Presence of antibodies did not lead to the elimination of virus from LRT. Conclusions. The timing and intensity of respiratory viral shedding in patients with MERS closely matches that of those with severe acute respiratory syndrome. Blood viral RNA does not seem to be infectious. Extrapulmonary loci of virus replication seem possible. Neutralizing antibodies do not suffice to clear the infection

Combined effect of age and body mass index on postoperative mortality and morbidity in laparoscopic cholecystectomy patients

BackgroundPrevious studies have assessed the impact of age and body mass index (BMI) on surgery outcomes separately. This retrospective cohort study aimed to investigate the combined effect of age and BMI on postoperative mortality and morbidity in patients undergoing laparoscopic cholecystectomy.MethodsData from the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) database for laparoscopic cholecystectomy patients between 2008 and 2020 were analyzed. Patient demographics, functional status, admission sources, preoperative risk factors, laboratory data, perioperative variables, and 30-day postoperative outcomes were included in the dataset. Logistic regression was used to determine the association of age, BMI, and age/BMI with mortality and morbidity. Patients were stratified into different subcategories based on their age and BMI, and the age/BMI score was calculated. The chi-square test, independent sample t-test, and ANOVA were used as appropriate for each category.ResultsThe study included 435,052 laparoscopic cholecystectomy patients. Logistic regression analysis revealed that a higher age/BMI score was associated with an increased risk of mortality (adj OR 13.13 95% CI, 9.19–18.77, p &lt; 0.0001) and composite morbidity (adj OR 2.57, 95% CI 2.23–2.95, p &lt; 0.0001).ConclusionOlder age, especially accompanied by a low BMI, appears to increase the post-operative mortality and morbidity risks in laparoscopic cholecystectomy patients, while paradoxically, a higher BMI seems to be protective. Our hypothesis is that a lower BMI, perhaps secondary to malnutrition, can carry a greater risk of surgery complications for the elderly. Age/BMI is strongly and positively associated with mortality and morbidity and could be used as a new scoring system for predicting outcomes in patients undergoing surgery. Nevertheless, laparoscopic cholecystectomy remains a very safe procedure with relatively low complication rates

Comparison of different diastolic resting indexes to iFR: are they all equal?

Background: Pressure measurement for the duration of the wave-free period (WFP) is considered essential for resting-state physiological assessment of coronary stenosis severity using the instantaneous wave-free ratio (iFR). Objectives: The aim of this study was to compare other diastolic resting indexes to iFR. Methods: In the population of the VERIFY2 (Pd/Pa vs iFR in an Unselected Population Referred for Invasive Angiography) study, iFR calculated by proprietary software (Volcano Harvest, Volcano Corporation, Rancho Cordova, California) was compared with the ratio of resting distal coronary pressure and aortic pressure during the complete duration of diastole (dPR), 25% to 75% of diastole (dPR25–75), and midpoint of diastole (dPRmid), along with Matlab calculated iFR (iFRmatlab) and iFR-like indexes shortening the length of the WFP by 50 and 100 ms (iFR−50ms and iFR−100ms), respectively. Mutual differences, Spearman correlations, area under the curve values from receiver-operating characteristic analyses, and diagnostic performance with respect to iFR and fractional flow reserve (FFR) were calculated for all indexes. Results: Median iFR in 197 patients with 257 vessels was 0.91 with an interquartile range of 0.87 to 0.95. The mutual differences (± SD) with iFR were 0.006 ± 0.011 (dPR), 0.001 ± 0.007 (dPR25–75), 0.001 ± 0.008 (dPRmid), 0.005 ± 0.009 (iFRmatlab), 0.003 ± 0.008 (iFR−50ms), and 0.001 ± 0.009 (iFR−100ms). Correlations for all indexes with iFR were &gt;0.99 (p &lt; 0.001 for all). Area under the curve values for predicting iFR were &gt;0.99 for all indexes as well. Diagnostic accuracy compared with FFR was 76% to 77% for all indexes including iFR. Conclusions: All diastolic resting indexes tested were identical to iFR, both numerically and with respect to their agreement with FFR. A numerically equal value to iFR can be determined without restriction to the WFP. Cutoff values, guidelines, and clinical recommendations for iFR can therefore be extended to these other indexes. (Pd/Pa vs iFR in an Unselected Population Referred for Invasive Angiography [VERIFY2]; NCT02377310)