Multi-traffic Scene Perception Model using Different Machine Learning Classifiers

Traffic accidents are particularly serious on a rainy day, a dark night, an overcast and/or rainynight, a foggy day, and many other times with low visibility conditions. Present vision driverassistance systems are designed to perform under good-natured weather conditions. Classificationis a methodology to identify the type of optical characteristics for vision enhancement algorithmsto make them more efficient. To improve machine vision in bad weather situations, a multi-classweather classification method is presented based on multiple weather features and supervisedlearning. First, underlying visual features are extracted from multi-traffic scene images, and thenthe feature was expressed as an eight-dimensions feature matrix. Second, five supervised learningalgorithms are used to train classifiers. The analysis shows that extracted features can accuratelydescribe the image semantics, and the classifiers have high recognition accuracy rate and adaptiveability. The proposed method provides the basis for further enhancing the detection of anteriorvehicle detection during nighttime illumination changes, as well as enhancing the driver’s field ofvision on a foggy da

Profile and outcome of pregnancy with congenital heart diseases: a retrospective study from a South Indian tertiary care hospital

Background: Women with congenital heart disease who become pregnant form an important subgroup of pregnancy cardiac disorders. The additional stress of pregnancy represents a further challenge.Methods: This was a retrospective study. Patient records between 2011and 2015 pertaining to 77 pregnant women with congenital heart diseases were analysed.Results: There was only one patient aged more than 35 years. The age of the others ranged from 18 to 35 years. The mean age was 24 years. There was a slight rural preponderance with 43 (55.8%) from rural areas. Majority 49 (63.5%) belonged to lower middle socioeconomic status. 71 (92.2%) had NYHA functional Class I. Two patients of Class II had worsening of their status. There were no cases of Atrial Fibrillation and only 2(2.6%) had CCF.ASD closure was the commonest procedure done24 (31.2%). There were 6 (7.8%)cases of device closure of PDA and no cases of VSD. Anemia and GDM were seen in 4 (5.2%). The commonest period of gestation at delivery was 37-40 in 64 (83.1%). ASD was the commonest type of lesion 42 (54.5%). 36 (46.8%) had spontaneous labour and there were 18 23.4%)caesarians. Previous LSCS was the commonest indication for LSCS. Full term normal vaginal delivery was seen in 45 (88.2%). Majority of the newborns 30 (39%) had a birth weight in the range 2.6-3.0 kgs.Conclusions: There is a significant burden of Heart disease with pregnancy afflicting young rural women and those from lower socioeconomic levels. Higher level of specialised care minimizes poor maternal and fetal outcomes

Supernumerary heads of biceps brachii muscle in South Indian Cadavers

Biceps brachii is a muscle of the anterior compartment of the arm having a long head and a short head. Distally both heads unite to form a common tendon inserting into the radial tuberosity and the bicipital aponeurosis. Most commonly it may have an additional head but presence of four heads and more is relatively very rare. The present study documents the incidence and morphological characteristics of supernumerary head of biceps brachii in adult South Indian cadavers. We studied 40 arms of 20 adult formalin fixed cadavers in the Department of Anatomy, Kasturba Medical College, Manipal, India. The presence of number of additional heads and their details of attachments were studied. We observed presence of supernumerary heads of biceps brachii in 6 (15%) cases, in which having three heads observed in five cases (12.5%) and four heads in one case (2.5%). In one case, we noticed bilateral incidence with three heads on left side and four heads on right side. Knowledge of incidences of such variable numbers of additional heads and pattern of their attachment may facilitate the preoperative diagnosis in addition to the surgical procedures of the upper limbs.Keywords: Biceps brachii, supernumerary heads, additional head

Facilitating Multifunctional Green Infrastructure Planning in Washington, DC through a Tableau Interface

Multifunctional urban green infrastructure (UGI) can regulate stormwater, mitigate heat islands, conserve biodiversity and biocultural diversity, and produce food, among other functions. Equitable governance of UGI requires new tools for sharing pertinent information. Our goal was to develop a public-access geographic information system (GIS) that can be used for comprehensive UGI planning in Washington, DC (the District) and to create an e-tool for UGI in the form of Tableau dashboards. The dashboards allow stakeholders to identify (1) existing UGI and (2) potential areas for new UGI including urban agriculture (UA). They also allow users to manipulate the data and identify priority locations for equitable UGI development by applying population vulnerability indices and other filters. We demonstrate use of the dashboards through scenarios focusing on UA in the District, which currently has 150 ha of existing UGI in the form of documented projects and an additional 3012 ha potentially suitable for UGI development. A total of 2792 ha is potentially suitable for UA, with 58% of that area in Wards 5, 7, and 8, which are largely food deserts and whose residents are primarily Black and experience the greatest inequities. Our work can serve as a model for similar digital tools in other locales using Tableau and other platforms

NADPH oxidases regulate cell growth and migration in myeloid cells transformed by oncogenic tyrosine kinases

Transformation by tyrosine kinase oncogenes in myeloid malignancies, including BCR-ABL in chronic myeloid leukemia, FLT3ITD in acute myeloid leukemia (AML) or JAK2V617F in myeloproliferative neoplasms (MPN), is associated with increased growth and cytoskeletal abnormalities. Using targeted approaches against components of the superoxide-producing NADPH-oxidases, including NOX2, NOX4 and the common p22phox subunit of NOX1-4, myeloid cells were found to display reduced cell growth and spontaneous migration. Consistent with a role of NOX as regulators of membrane proximal signaling events in non-phagocytic cells, NOX2 and NOX4 were not involved in the excess production of intracellular reactive oxygen species and did not significantly increase oxygen consumption. All NOX family members are controlled in part through levels of the rate-limiting substrate NADPH, which was found to be significantly elevated in tyrosine kinase oncogene transformed cells. Also, reduced phosphorylation of the actin filament crosslinking protein MARCKS in response to suppression of p22phox hints at a novel effector of NOX signaling. MARCKS was also found to be required for increased migration. Overall, these data suggest a model whereby NOX links metabolic NADPH production to cellular events that directly contribute to transformation

A Bayesian comparative effectiveness trial in action: developing a platform for multisite study adaptive randomization

A grant from the One-University Open Access Fund at the University of Kansas was used to defray the author's publication fees in this Open Access journal. The Open Access Fund, administered by librarians from the KU, KU Law, and KUMC libraries, is made possible by contributions from the offices of KU Provost, KU Vice Chancellor for Research & Graduate Studies, and KUMC Vice Chancellor for Research. For more information about the Open Access Fund, please see http://library.kumc.edu/authors-fund.xml.Background In the last few decades, the number of trials using Bayesian methods has grown rapidly. Publications prior to 1990 included only three clinical trials that used Bayesian methods, but that number quickly jumped to 19 in the 1990s and to 99 from 2000 to 2012. While this literature provides many examples of Bayesian Adaptive Designs (BAD), none of the papers that are available walks the reader through the detailed process of conducting a BAD. This paper fills that gap by describing the BAD process used for one comparative effectiveness trial (Patient Assisted Intervention for Neuropathy: Comparison of Treatment in Real Life Situations) that can be generalized for use by others. A BAD was chosen with efficiency in mind. Response-adaptive randomization allows the potential for substantially smaller sample sizes, and can provide faster conclusions about which treatment or treatments are most effective. An Internet-based electronic data capture tool, which features a randomization module, facilitated data capture across study sites and an in-house computation software program was developed to implement the response-adaptive randomization. Results A process for adapting randomization with minimal interruption to study sites was developed. A new randomization table can be generated quickly and can be seamlessly integrated in the data capture tool with minimal interruption to study sites. Conclusion This manuscript is the first to detail the technical process used to evaluate a multisite comparative effectiveness trial using adaptive randomization. An important opportunity for the application of Bayesian trials is in comparative effectiveness trials. The specific case study presented in this paper can be used as a model for conducting future clinical trials using a combination of statistical software and a web-based application. Trial registration ClinicalTrials.gov Identifier: NCT02260388, registered on 6 October 201

Database Evaluation for Muscle and Nerve Diseases - DEMAND: An academic neuromuscular coding system

Background: A database which documents the diagnosis of neuromuscular patients is useful for determining the types of patients referred to academic centers and for identifying participants for clinical trials and other studies. The ICD-9 or ICD-10 numeric systems are insufficiently detailed for this purpose. Objective: To develop a database for neuromuscular diagnoses Methods: We developed a detailed diagnostic coding system for neuromuscular diseases called DEMAND: Database Evaluation for Muscle and Nerve Diseases that has been adopted by neuromuscular clinics at University of Texas Health Science Center San Antonio (UTHSCSA), Ohio State University (OSU), University of Kansas Medical Center (KUMC), and University of Texas Southwestern (UTSW). At the initial visit, patients are assigned a diagnostic code which can be revised later if appropriate. Fields include patient’s name, date of birth, and diagnostic code. The neuromuscular database consisted of 457 codes. Each code has a prefix (MUS or PNS) followed by a three-digit number. Depending on whether muscle or nerve is primarily involved, there are eight broad groups: motor neuron disease (MUS codes 100-139); neuromuscular junction disorders (MUS 200-217); acquired and hereditary myopathies (MUS 300-600s); acquired and hereditary polyneuropathies (PNS 100-400); mononeuropathies (PNS 500s); plexopathies (PNS 600s); radiculopathies (PNS 700s); and mononeuritis multiplex (PNS 800s). Results: During a period of 10 years, 17,163 of patients were entered (1,752 at UTHSCSA, 1,840 at OSU, 3,699 at KUMC, 9,872 at UTSW). The number of patients in several broad categories are: 3,080 motor neuron disease; 1,575 neuromuscular junction disease; 1,851 muscular dystrophies; 633 inflammatory myopathies; 1,090 hereditary neuropathies; 1,001 immune-mediated polyneuropathies; 620 metabolic/toxic polyneuropathies; 535 mononeuropathies; 296 plexopathies; and 769 radiculopathies. Conclusion: A detailed diagnostic neuromuscular database can be utilized at multiple academic centers. The database should be simple without too many fields to complete, to ensure compliance during busy clinic operations. This database has been very useful in identifying groups of patients for retrospective, observational studies and for prospective treatment studies including trials for Amyotrophic Lateral Sclerosis (ALS), Muscular Dystrophies (MD), Myasthenia Gravis (MG), and retrospective studies of Primary Lateral Sclerosis (PLS), chronic inflammatory demyelinating neuropathy (CIDP), etc

The impact of preexisting and post-transplant diabetes mellitus on outcomes following liver transplantation

Background: Diabetes mellitus (DM) is said to adversely affect transplant outcomes. The aim of this study was to investigate the impact of pre-existing and post-transplant DM on liver transplant (LT) recipients.Method: A single centre retrospective analysis of prospectively collected data of LT recipients (1990–2015) was undertaken.Results: Of the 2,209 patients, 13% (n=298) had Pre-DM, 16% (n=362) developed PTDM, 5% (n=118) developed transient hyperglycemia (t-HG) post-LT, and 65% (n=1,431) never developed DM (no DM). Baseline clinical characteristics of patients with PTDM was similar to that of patients with pre-DM. Incidence of PTDM peaked during first-year (87%) and plateaued thereafter. On multivariate analysis (Bonferroni-corrected), non-alcoholic fatty liver disease and the use of Tacrolimus and Sirolimus use were independently associated with PTDM development. Both Pre-DM and PTDM patients had satisfactory and comparable glycaemic control throughout the follow-up period. Those who developed t-HG seems to have a unique characteristic compared to others. Overall, 9%, 5%, and 8% developed end-stage renal disease (ESRD), major cardiovascular event (mCVE), and de novo cancer, respectively. Both Pre-DM and PTDM did not adversely affect patient survival, re-LT, or de novo cancer. The risks of ESRD and mCVE were significantly higher in patients with Pre-DM followed by PTDM and no DM.Conclusions: In this largest non-registry study, patients with pre-DM and PTDM share similar baseline clinical characteristics. Pre-DM increases the risk of ESRD and mCVE; however, patient survival was comparable to those with PTDM and without diabetes. Understanding the impact of PTDM would need prolonged follow-up

Acute myeloid leukemia cells require 6-phosphogluconate dehydrogenase for cell growth and NADPH-dependent metabolic reprogramming

Acute myeloid leukemia (AML) cells are highly dependent on glycolytic pathways to generate metabolic energy and support cell growth, hinting at specific, targetable vulnerabilities as potential novel targets for drug development. Elevated levels of NADPH, a central metabolic factor involved in redox reactions, are common in myeloid leukemia cells, but the significance or biochemical basis underlying this increase is unknown. Using a small molecule analog that efficiently inhibits NADPH-producing enzymes, we found that AML cells require NADPH homeostasis for cell growth. We also found that inhibiting NADPH production through knockdown of 6-phosphogluconate dehydrogenase (6PGD) within the pentose phosphate pathway was sufficient to reduce cell growth and lactate production, a measure of metabolic reprogramming. Further, inhibition of 6PGD activity reduced NADH levels and enzymatic activity of the oxidized NADH-dependent sirtuin-1. Targeting 6PGD and NADPH production was sufficient to block growth of AML cell lines resistant to the chemotherapeutics daunorubicin and cytarabine. Importantly, stromal cell-mediated resistance to targeted inhibition of oncogenic FLT3 kinase activity by quizartinib was circumvented by 6PGD knockdown. Overall, these data suggest that the dependency of AML cells on NADPH to permit increased glycolytic flux creates a potential vulnerability of possible therapeutic benefit, since much of the enhanced production of NADPH is dependent on the activity of a single enzyme, 6PGD