124 research outputs found

    Automated Logging Drone: A Computer Vision Drone Implementation

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    In recent years, Artificial Intelligence (AI) and Computer Vision (CV) have become the pinnacle of technology with new developments seemingly every day. This technology along with more powerful drone technology have made autonomous surveillance more sought after. Here an overview of the Automated Logging Drone (ALD) project is presented along with examples of how this project can be used with more refining and added features

    The effect of Doping on the Microhardness Behaviour of Anthracene

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    Case Histories of Soil Behaviour and Investigations for Seismically Distressed Earthen Dams of Kachchh Region in Gujarat, India

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    In the morning of January 26, 2001, a devastating earthquake of magnitude Mw 7.7 rocked the Gujarat State of India. The disastrous earthquake claimed thousands of human lives besides widespread destruction of the properties including damages to water resources projects of Kachchh region. This worst ever natural calamity of recent time posed challenging and daunting task of restoration and reconstruction works. A committee of experts was constituted by Government of Gujarat with a view to assess the damages occurred to the dams & other appurtenant structures and to recommend restoration and reconstruction works. Consequent to the event, dams of Kachchh region situated within radius of 200 km from the epicenter were inspected as per the guidelines of International Commission On Large Dams (ICOLD). Integrated geotechnical investigation program comprising soil exploration and laboratory testing was chalked out to determine the properties of foundation & embankment soils. The paper describes the seismic data on Bhuj Earthquake, geology of Kachchh region, geotechnical investigation including assessment of liquefaction potential and their considerations in the restoration measures of two earth dams

    An Analysis of Functional Status in Multiple Sclerosis Patients after Progressive Non-Aerobic High-Intensity Maximal Effort Exercise (MEE)

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    Background: Multiple Sclerosis (MS) is a disease with a wide-ranging impact on functional status. MS patient function has been assessed using Multiple Sclerosis Functional Composite Score (MSFCS). The MSFCS includes the standardized scores (Z-score) of three functional tests: the Paced Auditory Serial Addition Test (PASAT-3”) for cognitive function, 9-Hole Peg Test (9-HPT) for upper extremity function, and timed 25-foot walk (25-TW) for lower extremity function. One of the most common symptoms experienced by MS patients is severe fatigue, often brought on suddenly by aerobic exercise. Non-aerobic maximal effort exercise (MEE) is thought to increase strength without increasing fatigue. The IsoPUMP® (Neuromuscular Engineering; Nashville, TN) is a stationary exercise device designed for patient use to safely perform MEE leg presses and whole body lunges using isometric and eccentric exercises. The progressive functional changes of the MS patients were tracked using the MSFCs at specific intervals during the study

    Effects of Non-Aerobic Maximal Effort Exercise on Fatigue in Deconditioned Men and Women with Multiple Sclerosis

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    Multiple Sclerosis (MS) is a neurodegenerative disease of unknown etiology affecting women more frequently than men. Mental and physical fatigue complaints are often the most disabling symptoms for an MS patient. Both are multifactorial, potentially exacerbated by aerobic exercise, may prevent sustained physical functioning, and significantly interfere with activities of daily living1. A multi-center study was designed to investigate the effects of non-aerobic maximal effort exercise (MEE) for deconditioned persons with MS, with the expectation of minimizing fatigue. The IsoPUMP (Neuromuscular Engineering; Nashville, TN), is a specialized exercise and strength-sensing machine, designed to allow individuals to safely perform and record their non-aerobic MEE sessions. The Modified Fatigue Impact Scale (MFIS) and Multiple Sclerosis Functional Composite (MSFC) are common, accepted methods used to measure fatigue and function. The MFIS is a 21-item questionnaire which assesses the subjects’ perception of physical, cognitive, and psychosocial aspects of fatigue over a four-week period2. Each of the 21 items are scored on a scale from 0 (never) to 4 (almost always), and the total MFIS score is calculated by summing the circled number for each item. Total scores can range from 0 to 84; higher scores indicating a greater impact of fatigue on the person. The MFIS has three distinct subscales: (1) physical, (2) cognitive, and (3) psychosocial. These subscales can be scored independently by summing the questions that pertain to each subscale2. The MFIS physical subscale score can range from 0 – 36 and the MFIS cognitive subscale score can range from 0 – 40. The MSFC combines clinical measures used to assess lower limb function (Timed 25-Foot Walk [25-FW]), upper limb function (9-Hole Peg Test [9-HPT]), and cognition (Paced Auditory Serial Addition Test [PASAT-3”])3. The 25-FW is a quantitative measure of lower extremity function. The 9-HPT is a quantitative measure of arm and hand function where a subject inserts and then removes 9 pegs from a board, using one hand at a time. The time is recorded for each hand with the dominant hand trial first and the non-dominant hand trial second. The final score is recorded as the mean time for both hands. The PASAT-3” is a measure of cognitive function, specifically assessing auditory information processing speed, short-term memory, flexibility, and calculation ability. Cognitive dysfunction affects half of all MS patients; slowing ability to reason, concentrate, and recall5. In this test subjects listen to a series of 61 spoken numbers separated by 3 seconds and must add each number to the prior number. Their final PASAT-3” score is the number of correct additions in the series, with 60 reflecting a perfect score. The MSFC is then evaluated by creating Z-scores for each component, which compare each outcome with the average outcome of the study population. The three Z-scores are then averaged to create an overall composite score (the MSFC score) which represents change over time for that population of MS subjects3

    The Effect of Progressive Non-Aerobic High-Intensity Maximal Effort Exercise (MEE) on the Health-Related Quality of Life in Patients with Multiple Sclerosis

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    Background: Studies indicate that Multiple Sclerosis (MS) patients are less satisfied with the quality of their lives than healthy individuals in similar circumstances. Common symptoms experienced include fatigue, cognitive dysfunction, pain, spasticity, depression, bladder/bowel dysfunction and sexual dysfunction. Several pharmacological and non-pharmacological methods have been employed for such symptoms to try to increase quality of life and reduce the mortality rate. Non-pharmacological methods recommended for MS patients include lifestyle modifications, exercise programs and physical therapy. MS patients easily fatigue during aerobic exercise but a non-aerobic progressive maximal effort exercise (MEE) protocol consisting of a few short, duration isometric and eccentric leg press and whole body lunges was previously seen to increase strength without increasing fatigue. The IsoPUMP® (Neuromuscular Engineering, Nashville TN) exercise system permitted safe conduct and measurement of muscle strength and duration during each exercise repetition

    Genome-wide expression profiling of urinary bladder implicates desmosomal and cytoskeletal dysregulation in the bladder exstrophy-epispadias complex

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    The bladder exstrophy-epispadias complex (BEEC) represents a spectrum of urological abnormalities where part, or all, of the distal urinary tract fails to close during development, becoming exposed on the outer abdominal wall. While the etiology of BEEC remains unknown, strong evidence exists that genetic factors are implicated. To understand the pathways regulating embryonic bladder development and to identify high-probability BEEC candidate genes, we conducted a genome-wide expression profiling (GWEP) study using normal and exstrophic human urinary bladders and human and mouse embryologic bladder-precursor tissues. We identified 162 genes differentially expressed in both embryonic and postnatal human samples. Pathway analysis of these genes revealed 11 biological networks with top functions related to skeletal and muscular system development, cellular assembly and development, organ morphology, or connective tissue disorders. The two most down-regulated genes desmin (DES, fold-change, -74.7) and desmuslin (DMN, fold-change, -53.0) are involved in desmosome mediated cell-cell adhesion and cytoskeletal architecture. Intriguingly, the sixth most overexpressed gene was desmoplakin (DSP, fold-change, +48.8), the most abundant desmosomal protein. We found 30% of the candidate genes to be directly associated with desmosome structure/function or cytoskeletal assembly, pointing to desmosomal and/or cytoskeletal deregulation as an etiologic factor for BEEC. Further findings indicate that p63, PERP, SYNPO2 and the Wnt pathway may also contribute to BEEC etiology. This study provides the first expression profile of urogenital genes during bladder development and points to the high-probability candidate genes for BEEC

    Experimental study of PLA thermal behavior during fused filament fabrication

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    Fused filament fabrication (FFF) is an additive manufacturing technique that is used to produce prototypes and a gradually more important processing route to obtain final products. Due to the layer-by-layer deposition mechanism involved, bonding between adjacent layers is controlled by the thermal energy of the material being printed, which strongly depends on the temperature development of the filaments during the deposition sequence. This study reports experimental measurements of filament temperature during deposition. These temperature profiles were compared to the predictions made by a previously developed model. The two sets of data showed good agreement, particularly concerning the occurrence of reheating peaks when new filaments are deposited onto previously deposited ones. The developed experimental technique is shown to demonstrate its sensitivity to changing operating conditions, namely platform temperature and deposition velocity. The data generated can be valuable to predict more accurately the bond quality achieved in FFF parts

    A simplified (modified) Duke Activity Status Index (M-DASI) to characterise functional capacity: A secondary analysis of the Measurement of Exercise Tolerance before Surgery (METS) study

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    Background Accurate assessment of functional capacity, a predictor of postoperative morbidity and mortality, is essential to improving surgical planning and outcomes. We assessed if all 12 items of the Duke Activity Status Index (DASI) were equally important in reflecting exercise capacity. Methods In this secondary cross-sectional analysis of the international, multicentre Measurement of Exercise Tolerance before Surgery (METS) study, we assessed cardiopulmonary exercise testing and DASI data from 1455 participants. Multivariable regression analyses were used to revise the DASI model in predicting an anaerobic threshold (AT) >11 ml kg −1 min −1 and peak oxygen consumption (VO 2 peak) >16 ml kg −1 min −1, cut-points that represent a reduced risk of postoperative complications. Results Five questions were identified to have dominance in predicting AT>11 ml kg −1 min −1 and VO 2 peak>16 ml.kg −1min −1. These items were included in the M-DASI-5Q and retained utility in predicting AT>11 ml.kg −1.min −1 (area under the receiver-operating-characteristic [AUROC]-AT: M-DASI-5Q=0.67 vs original 12-question DASI=0.66) and VO 2 peak (AUROC-VO2 peak: M-DASI-5Q 0.73 vs original 12-question DASI 0.71). Conversely, in a sensitivity analysis we removed one potentially sensitive question related to the ability to have sexual relations, and the ability of the remaining four questions (M-DASI-4Q) to predict an adequate functional threshold remained no worse than the original 12-question DASI model. Adding a dynamic component to the M-DASI-4Q by assessing the chronotropic response to exercise improved its ability to discriminate between those with VO 2 peak>16 ml.kg −1.min −1 and VO 2 peak<16 ml.kg −1.min −1. Conclusions The M-DASI provides a simple screening tool for further preoperative evaluation, including with cardiopulmonary exercise testing, to guide perioperative management
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