103 research outputs found

    UC-51 Difference Detection: Automated Defect Detection System for Modernized Display Units

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    In today\u27s high-stakes military environments, the reliability and accuracy of software systems are paramount. Defects within these systems not only pose significant financial risks but can also endanger lives. To ensure the utmost safety and effectiveness, military systems undergo extensive testing and validation processes. However, the lifespan of these systems is far from indefinite. Environmental changes, advancements in adversarial capabilities, evolving mission requirements, and parts obsolescence necessitate continuous improvement efforts. One critical area of focus is the modernization of display units, which are vital for providing pilots with essential mission information and ensuring their safe return. The 402 Software Engineering Group (SWEG) at Robins AFB seeks an innovative solution to enhance defect detection in modernized display units using computer vision technology. By automating the evaluation process, our objective is to reduce manual intervention, allowing software developers to focus more on design and development tasks

    Frequency and outcome of meconium aspiration syndrome in babies born with meconium-stained liquor at secondary care hospital in Pakistan: A case series study

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    Background: Meconium aspiration syndrome (MAS) in the newborn is characterized by hypoxia, hypercapnia, and acidosis. MAS is a leading cause of morbidity and mortality in neonates. The primary objective of this study was to estimate the frequency of meconium aspiration syndrome (MAP) in babies born with meconium-stained liquor. The secondary outcome was to estimate the meconium aspiration syndrome; in terms of hospital stay, complications, and mortality.Methods: The study was done at Aga Khan Maternal and Child Care Centre, Hyderabad, Pakistan. Study design was case series and the duration of the study was of 6 months. All patients who fulfilled the inclusion criteria were included in the study after taking informed written consent. A brief history was taken, clinical examination was done and laboratory investigations were sent to the institutional laboratory. Study outcomes were measured from this data i.e. MAS, its complications, mortality, and a number of days in the hospital.Results: A total of 87 babies born with meconiumstained liquor at secondary care hospital were included. A total of 45 patients (52%) were males and 42 patients (48%) were females with a mean gestational age of babies 38.896 ± 1.210 weeks. The mean Apgar score at 5 minutes was 8.896 ± 0.404. MAS was present in 13 patients (14.9%). Complications were seen only one patient (1.1%) and there was no neonatal death reported.Discussion: MAS was present in 14.9% of babies; the complication of subacute bacterial infection was low seen in just 1.1% cases with no neonatal mortality

    Heavy metals burden of Keenjhar Lake, District Thatta, Sindh, Pakistan

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    Detection of heavy metals (HMs) content from Keenjhar Lake water was carried out monthly from January to December, 2003. Zinc, chromium, copper, iron, manganese, nickel and cadmium were analyzed by dual mode of analytical methods flame atomic absorption spectrometry and electrothermal atomic absorption spectrometry (FAAS and ETAAS) by multi element standard solution. The concentrations of zinc, chromium, copper, iron, manganese Nickel and cadmium were 1.4 to 104.3 μgL-1, 1.28 to 4.9 μgL-1, 0.6 to 7.3 μgL-1, 2 to 45.6 μgL-1, 0.2 to 6.7 μgL-1, 3.54 to 39.5 μgL-1 and 1.0 to 4.3 μgL-1, respectively. Zn2+, Cr+, Cu2+, Fe2+ and Mn2+ concentrations were recorded lower than those of permissible limits, whereas Ni+ and Cd+ were higher than those of permissible limits recommended by WHO (2004).Key words: Heavy metals, Keenjhar Lake, toxicity

    Unravelling the influence of pH, temperature and kinetics

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    Salah Ud Din is thankful to the Higher Education Commission of Pakistan for research funding under the National research program for universities (NRPU) under project No. 8376. The Deanship of Scientific Research at King Khalid University for funding this work through the research group project under grant number (RGP-1/284/44). DOI 10.54499/CEECINST/00102/2018/CP1567/CT0026). Publisher Copyright: © 2024 The AuthorsArsenic contamination, at lower concentrations (up to 500 µg L-1), is an important environmental concern but has received limited attention. Adsorption capacities, kinetics and equilibrium phenomena are concentration dependent. Previous studies focused on higher arsenic concentrations associated with industrial discharges, failing to address arsenic contamination in drinking water. This study investigates arsenic adsorption using Eleocharis dulcis biochar loaded with CuO (EDB-CuO) at lower concentrations (up to 500 µg L-1). The synthesized biochar was characterized by X-ray Diffraction (XRD), Fourier Transform Infrared (FTIR), Point of Zero Charge (PZC) and Scanning Electron Microscopy (SEM). Batch adsorption experiments were conducted, varying time, concentration, temperature and pH. Results indicated that increasing temperature positively influenced arsenic adsorption onto EDB-CuO, while pH had an opposite effect, with maximum adsorption occurring at lower pH levels (2−3). The equilibrium time was established at 240 min for arsenate adsorption. Kinetic data best fitted the Ho and McKay's plot and the Langmuir model calculated a maximum adsorption capacity of 26.1 mg g-1. Thermodynamic parameters, including enthalpy, entropy and activation energy, supported the conclusion that the arsenate adsorption process was spontaneous and chemisorptive. Column studies demonstrated remarkable adsorption retention performance (>88%) of the composite for arsenate removal over 8 h. Similarly, a fixed-bed column experiment was conducted to study the adsorption mechanism of arsenate on EDB-CuO by employing the Bohart-Adams, Thomas, and Clark models. The Clark model was found to best describe the arsenate removal mechanism. Additionally, recycling studies of arsenate from the loaded EDB-CuO surface were investigated up to 4 adsorption-desorption cycles. A small decrease was observed in the second cycle, from 92.06% removal to 85.15%, which further decreased in the third cycle (62.18%), and even more in the fourth cycle (30.8%).publishersversionpublishe

    Biosynthesized ZnO-NPs from Morus indica attenuates methylglyoxal-induced protein glycation and RBC damage: In-vitro, in-vivo and molecular docking study

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    The development of advanced glycation end-products (AGEs) inhibitors is considered to have therapeutic potential in diabetic complications inhibiting the loss of the biomolecular function. In the present study, zinc oxide nanoparticles (ZnO-NPs) were synthesized from aqueous leaf extract of Morus indica and were characterized by various techniques such as ultraviolet (UV)-Vis spectroscopy, Powder X-Ray Diffraction (PXRD), Fourier Transform Infrared Spectroscopy (FT-IR), Scanning electron microscopy (SEM), and energy dispersive spectroscopy (EDS). Further, the inhibition of AGEs formation after exposure to ZnO-NPs was investigated by in-vitro, in-vivo, and molecular docking studies. Biochemical and histopathological changes after exposure to ZnO-NPs were also studied in streptozotocin-induced diabetic rats. ZnO-NPs showed an absorption peak at 359 nm with a purity of 92.62% and ~6–12 nm in size, which is characteristic of nanoparticles. The images of SEM showed agglomeration of smaller ZnO-NPs and EDS authenticating that the synthesized nanoparticles were without impurities. The biosynthesized ZnO-NPs showed significant inhibition in the formation of AGEs. The particles were effective against methylglyoxal (MGO) mediated glycation of bovine serum albumin (BSA) by inhibiting the formation of AGEs, which was dose-dependent. Further, the presence of MGO resulted in complete damage of biconcave red blood corpuscles (RBCs) to an irregular shape, whereas the morphological changes were prevented when they were treated with ZnO-NPs leading to the prevention of complications caused due to glycation. The administration of ZnO-NPs (100 mg Kg−1) in streptozotocin(STZ)-induced diabetic rats reversed hyperglycemia and significantly improved hepatic enzymes level and renal functionality, also the histopathological studies revealed restoration of kidney and liver damage nearer to normal conditions. Molecular docking of BSA with ZnO-NPs confirms that masking of lysine and arginine residues is one of the possible mechanisms responsible for the potent antiglycation activity of ZnO-NPs. The findings strongly suggest scope for exploring the therapeutic potential of diabetes-related complications.Fil: Anandan, Satish. University of Mysore; IndiaFil: Mahadevamurthy, Murali. University of Mysore; IndiaFil: Ansari, Mohammad Azam. Imam Abdulrahman Bin Faisal University; Arabia SauditaFil: Alzohairy, Mohammad A.. Al Qassim University; Arabia SauditaFil: Alomary, Mohammad N.. King Abdulaziz City For Science And Technology; Arabia SauditaFil: Siraj, Syeda Farha. University of Mysore; IndiaFil: Nagaraja, Sarjan Halugudde. University of Mysore; IndiaFil: Chikkamadaiah, Mahendra. University of Mysore; IndiaFil: Ramachandrappa, Lakshmeesha Thimappa. University of Mysore; IndiaFil: Krishnappa, Hemanth Kumar Naguvanahalli. University of Mysore; IndiaFil: Ledesma, Ana Estela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet Noa Sur. Centro de Investigación en Biofísica Aplicada y Alimentos. - Universidad Nacional de Santiago del Estero. Centro de Investigación en Biofísica Aplicada y Alimentos; ArgentinaFil: Nagaraj, Amruthesh Kestur. University of Mysore; IndiaFil: Urooj, Asna. University of Mysore; Indi

    Diabetes Health, Residence & Metabolism in Asians: the DHRMA study, research into foods from the Indian subcontinent - a blinded, randomised, placebo controlled trial

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    <p>Abstract</p> <p>Background</p> <p>Coronary heart disease (CHD) is highly prevalent amongst the South Asian communities in Britain. The reasons for this excess CHD risk are multifactorial, but in part relate to a susceptibility to diabetes mellitus - where the aberrant metabolism of non-esterified fatty acids (NEFA) and glucose are likely to underpin vascular disease in this population. Dietary intervention is an important and first line approach to manage increased CHD risk. However, there is limited information on the impact of the South Asian diet on CHD risk.</p> <p>Methods/Design</p> <p>The Diabetes Health, Residence & Metabolism in Asians (DHRMA) study is a blinded, randomised, placebo controlled trial that analyses the efficacy of reduced glycaemic index (GI) staples of the South Asian diet, in relation to cardio-metabolic risk factors that are commonly perturbed amongst South Asian populations - primarily glucose, fatty acid and lipoprotein metabolism and central adiposity. Using a 10-week dietary intervention study, 50 healthy South Asians will be randomised to receive either a DHRMA (reduced GI) supply of chapatti (bread), stone ground, high protein wheat flour and white basmati rice (high bran, unpolished) or commercially available (leading brand) versions chapatti wheat flour and basmati rice. Volunteers will be asked to complete a 75g oral glucose tolerance test at baseline and at 10-weeks follow-up, where blood metabolites and hormones, blood pressure and anthropometry will also be assessed in a standardised manner.</p> <p>Discussion</p> <p>It is anticipated that the information collected from this study help develop healthy diet options specific (but not exclusive) for South Asian ethnic communities.</p> <p>Trial registration</p> <p>Current Controlled Trials <a href="http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=ISRCTN02839188">ISRCTN02839188</a></p

    The Psychological Science Accelerator’s COVID-19 rapid-response dataset

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    In response to the COVID-19 pandemic, the Psychological Science Accelerator coordinated three large-scale psychological studies to examine the effects of loss-gain framing, cognitive reappraisals, and autonomy framing manipulations on behavioral intentions and affective measures. The data collected (April to October 2020) included specific measures for each experimental study, a general questionnaire examining health prevention behaviors and COVID-19 experience, geographical and cultural context characterization, and demographic information for each participant. Each participant started the study with the same general questions and then was randomized to complete either one longer experiment or two shorter experiments. Data were provided by 73,223 participants with varying completion rates. Participants completed the survey from 111 geopolitical regions in 44 unique languages/dialects. The anonymized dataset described here is provided in both raw and processed formats to facilitate re-use and further analyses. The dataset offers secondary analytic opportunities to explore coping, framing, and self-determination across a diverse, global sample obtained at the onset of the COVID-19 pandemic, which can be merged with other time-sampled or geographic data

    The Psychological Science Accelerator's COVID-19 rapid-response dataset

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    In response to the COVID-19 pandemic, the Psychological Science Accelerator coordinated three large-scale psychological studies to examine the effects of loss-gain framing, cognitive reappraisals, and autonomy framing manipulations on behavioral intentions and affective measures. The data collected (April to October 2020) included specific measures for each experimental study, a general questionnaire examining health prevention behaviors and COVID-19 experience, geographical and cultural context characterization, and demographic information for each participant. Each participant started the study with the same general questions and then was randomized to complete either one longer experiment or two shorter experiments. Data were provided by 73,223 participants with varying completion rates. Participants completed the survey from 111 geopolitical regions in 44 unique languages/dialects. The anonymized dataset described here is provided in both raw and processed formats to facilitate re-use and further analyses. The dataset offers secondary analytic opportunities to explore coping, framing, and self-determination across a diverse, global sample obtained at the onset of the COVID-19 pandemic, which can be merged with other time-sampled or geographic data

    Assessing composition in modeling approaches

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    Modeling approaches are based on various paradigms, e.g., aspect-oriented, feature-oriented, object-oriented, and logic-based. Modeling approaches may cover requirements models to low-level design models, are developed for various purposes, use various means of composition, and thus are difficult to compare. However, such comparisons are critical to help practitioners know under which conditions approaches are most applicable, and how they might be successfully generalized and combined to achieve end-to-end methods. This paper reports on work done at the 2nd International Comparing Modeling Approaches (CMA) workshop towards the goal of identifying potential comprehensive modeling methodologies with a particular emphasis on composition: (i) an improved set of comparison criteria; (ii) 19 assessments of modeling approaches based on the comparison criteria and a common, focused case study

    The psychological science accelerator’s COVID-19 rapid-response dataset

    Get PDF
    In response to the COVID-19 pandemic, the Psychological Science Accelerator coordinated three large-scale psychological studies to examine the effects of loss-gain framing, cognitive reappraisals, and autonomy framing manipulations on behavioral intentions and affective measures. The data collected (April to October 2020) included specific measures for each experimental study, a general questionnaire examining health prevention behaviors and COVID-19 experience, geographical and cultural context characterization, and demographic information for each participant. Each participant started the study with the same general questions and then was randomized to complete either one longer experiment or two shorter experiments. Data were provided by 73,223 participants with varying completion rates. Participants completed the survey from 111 geopolitical regions in 44 unique languages/dialects. The anonymized dataset described here is provided in both raw and processed formats to facilitate re-use and further analyses. The dataset offers secondary analytic opportunities to explore coping, framing, and self-determination across a diverse, global sample obtained at the onset of the COVID-19 pandemic, which can be merged with other time-sampled or geographic data
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