1,674 research outputs found

    Perceptions Regarding HIV/AIDS and Risky Behaviours Among Prison Inmates in Southwest Region of Cameroon

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    Prisoners are at exceptional risk of infection with HIV because of the association of injection drug use, tattooing, sex between men and unprotected sexual intercourse with incarceration. This study described the perceptions regarding HIV/ AIDS and risky behaviours among prison inmates in Kumba in the Southwest region of Cameroon.This was a cross sectional study, conducted among 232 male prison inmates in Kumba, in December 2015. Data were collected using a structured pretested questionnaire, and analysed using frequencies, percentages and Chi-square at the level 0.05, using SPSS version 20 software program. The majority, 178 (76.8%) were between the ages of 25 and 45 years; most, 133 (57.3%) had primary education and 184 (79.3%) were Christians. Most of them, 125 (53.9%) perceived that prison inmates are prone to HIV/AIDS, and only 44 (19%) perceived that condoms are available in the prison; 56 (24.1%) perceived that sterile objects are available in the prison; majority, 187 (80.6%) perceived that sexual intercourse exists in the prison, but only 39 (16.8%) perceived that condoms are used by inmates. Majority, 136 (58.6%) perceived that tattooing is practised in the prison, and 170 (73.3%) agreed that sexuality education should be provided in the prison. Being of a lower academic level was associated with an increased perception that prison inmates are prone to HIV/AIDS infection (P=0.030), and also associated with an increased perception that tattooing is being practised in the prison (P=0.034). These findings call for concerted efforts by stakeholders to implement strategies to improve the perceptions regarding HIV/AIDS, and to eliminate risky behaviours among prison inmates that might expose them to HIV infection

    Dr. LADA: diagnosing black pepper pest and diseases with decision tree

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    Malaysia has the distinction of being the world’s fifth largest pepper producer country whereby 98% of the country's annual production comes from the State of Sarawak. However, crop loss due to pest and disease incidence has been identified as one of the major pepper production constraints. Inefficient advisory mechanism and assistance from extension staff due to technical and logistic limitations have hindered the pest and disease diagnosis effort for pepper. Currently, extension staff from MPB will have to travel to the rural farms when contacted, or during their visits to advice or treat the plants. Therefore, “DR. LADA”, was jointly developed by Malaysian Pepper Board and Universiti Kebangsaan Malaysia to diagnose six pests and ten diseases of pepper which commonly found in Malaysia and recommends appropriate management measures to solve the problems. This an interactive android-based mobile app used an inference engine utilises the forward-backward chaining methods to trigger the correct output from decision tree that inter-relates the expert rules which extracted and validated by Malaysian Pepper Board experts. Dr. LADA is a native mobile app develop on a java-based platform which provides fast performance, high degree of reliability and can be used without any internet connection. The app has been tested with 10 case studies carried out by Malaysian Pepper Board and scored 97% of accuracy. Having Dr. LADA, user can identify problems by answering a series of questions from symptoms shown by several plant parts. Therefore, the dependency of farmers on extension staff are reduced, and indirectly minimizing the extension activity costs

    A 5-FU precursor designed to evade anabolic and catabolic drug pathways and activated by Pd chemistry in vitro and in vivo

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    We are grateful to the EPSRC (EP/N021134/1) for funding. T.L.B. thanks the CMVM of the University of Edinburgh (Principal's scholarship), and B.R.-R. thanks the EC (H2020MSCA-IF-2014-658833, ChemoBOOM) for financial support. A.U.-B. and D.J.B. thank Medical Research Scotland (PHD-1046-2016) for funding. We acknowledge support from the MRC Confidence in Concept scheme (MRC/CIC6/52) and EPSRC Impact Acceleration Account (PIII024).5-Fluorouracil (5-FU) is an antineoplastic antimetabolite that is widely administered to cancer patients by bolus injection, especially to those suffering from colorectal and pancreatic cancer. Because of its suboptimal route of administration and dose-limiting toxicities, diverse 5-FU prodrugs have been developed to confer oral bioavailability and increase the safety profile of 5-FU chemotherapy regimens. Our contribution to this goal is presented herein with the development of a novel palladium-activated prodrug designed to evade the metabolic machinery responsible for 5-FU anabolic activation and catabolic processing. The new prodrug is completely innocuous to cells and highly resistant to metabolization by primary hepatocytes and liver S9 fractions (the main metabolic route for 5-FU degradation), whereas it is rapidly converted into 5-FU in the presence of a palladium (Pd) source. In vivo pharmokinetic analysis shows the prodrug is rapidly and completely absorbed after oral administration and exhibits a longer half-life than 5-FU. In vivo efficacy studies in a xenograft colon cancer model served to prove, for the first time, that orally administered prodrugs can be locally converted to active drugs by intratumorally inserted Pd implants.UK Research & Innovation (UKRI) Engineering & Physical Sciences Research Council (EPSRC) EP/N021134/1CMVM of the University of EdinburghEuropean Commission European Commission Joint Research Centre H2020MSCA-IF-2014-658833Medical Research Scotland PHD-1046-2016UK Research & Innovation (UKRI) Medical Research Council UK (MRC) MRC/CIC6/52 UK Research & Innovation (UKRI)Engineering & Physical Sciences Research Council (EPSRC) PIII02

    A novel prostate cancer subtyping classifier based on luminal and basal phenotypes

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    Background: Prostate cancer (PCa) is a clinically heterogeneous disease. The creation of an expression-based subtyping model based on prostate-specific biological processes was sought. Methods: Unsupervised machine learning of gene expression profiles from prospectively collected primary prostate tumors (training, n = 32,000; evaluation, n = 68,547) was used to create a prostate subtyping classifier (PSC) based on basal versus luminal cell expression patterns and other gene signatures relevant to PCa biology. Subtype molecular pathways and clinical characteristics were explored in five other clinical cohorts. Results: Clustering derived four subtypes: luminal differentiated (LD), luminal proliferating (LP), basal immune (BI), and basal neuroendocrine (BN). LP and LD tumors both had higher androgen receptor activity. LP tumors also had a higher expression of cell proliferation genes, MYC activity, and characteristics of homologous recombination deficiency. BI tumors possessed significant interferon γactivity and immune infiltration on immunohistochemistry. BN tumors were characterized by lower androgen receptor activity expression, lower immune infiltration, and enrichment with neuroendocrine expression patterns. Patients with LD tumors had less aggressive tumor characteristics and the longest time to metastasis after surgery. Only patients with BI tumors derived benefit from radiotherapy after surgery in terms of time to metastasis (hazard ratio [HR], 0.09; 95% CI, 0.01–0.71; n = 855). In a phase 3 trial that randomized patients with metastatic PCa to androgen deprivation with or without docetaxel (n = 108), only patients with LP tumors derived survival benefit from docetaxel (HR, 0.21; 95% CI, 0.09–0.51). Conclusions: With the use of expression profiles from over 100,000 tumors, a PSC was developed that identified four subtypes with distinct biological and clinical features. Plain language summary: Prostate cancer can behave in an indolent or aggressive manner and vary in how it responds to certain treatments. To differentiate prostate cancer on the basis of biological features, we developed a novel RNA signature by using data from over 100,000 prostate tumors—the largest data set of its kind. This signature can inform patients and physicians on tumor aggressiveness and susceptibilities to treatments to help personalize cancer management

    Exclusive neuronal expression of SUCLA2 in the human brain

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    SUCLA2 encodes the ATP-forming subunit (A-SUCL-) of succinyl-CoA ligase, an enzyme of the citric acid cycle. Mutations in SUCLA2 lead to a mitochondrial disorder manifesting as encephalomyopathy with dystonia, deafness and lesions in the basal ganglia. Despite the distinct brain pathology associated with SUCLA2 mutations, the precise localization of SUCLA2 protein has never been investigated. Here we show that immunoreactivity of A-SUCL- in surgical human cortical tissue samples was present exclusively in neurons, identified by their morphology and visualized by double labeling with a fluorescent Nissl dye. A-SUCL- immunoreactivity co-localized >99% with that of the d subunit of the mitochondrial F0-F1 ATP synthase. Specificity of the anti-A-SUCL- antiserum was verified by the absence of labeling in fibroblasts from a patient with a complete deletion of SUCLA2. A-SUCL- immunoreactivity was absent in glial cells, identified by antibodies directed against the glial markers GFAP and S100. Furthermore, in situ hybridization histochemistry demonstrated that SUCLA2 mRNA was present in Nissl-labeled neurons but not glial cells labeled with S100. Immunoreactivity of the GTP-forming subunit (G-SUCL-) encoded by SUCLG2, or in situ hybridization histochemistry for SUCLG2 mRNA could not be demonstrated in either neurons or astrocytes. Western blotting of post mortem brain samples revealed minor G-SUCL- immunoreactivity that was however, not upregulated in samples obtained from diabetic versus non-diabetic patients, as has been described for murine brain. Our work establishes that SUCLA2 is expressed exclusively in neurons in the human cerebral cortex

    SPECULOOS exoplanet search and its prototype on TRAPPIST

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    One of the most significant goals of modern science is establishing whether life exists around other suns. The most direct path towards its achievement is the detection and atmospheric characterization of terrestrial exoplanets with potentially habitable surface conditions. The nearest ultracool dwarfs (UCDs), i.e. very-low-mass stars and brown dwarfs with effective temperatures lower than 2700 K, represent a unique opportunity to reach this goal within the next decade. The potential of the transit method for detecting potentially habitable Earth-sized planets around these objects is drastically increased compared to Earth-Sun analogs. Furthermore, only a terrestrial planet transiting a nearby UCD would be amenable for a thorough atmospheric characterization, including the search for possible biosignatures, with near-future facilities such as the James Webb Space Telescope. In this chapter, we first describe the physical properties of UCDs as well as the unique potential they offer for the detection of potentially habitable Earth-sized planets suitable for atmospheric characterization. Then, we present the SPECULOOS ground-based transit survey, that will search for Earth-sized planets transiting the nearest UCDs, as well as its prototype survey on the TRAPPIST telescopes. We conclude by discussing the prospects offered by the recent detection by this prototype survey of a system of seven temperate Earth-sized planets transiting a nearby UCD, TRAPPIST-1.Comment: Submitted as a chapter in the "Handbook of Exoplanets" (editors: H. Deeg & J.A. Belmonte; Section Editor: N. Narita). 16 pages, 4 figure

    Social informatics

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    5th International Conference, SocInfo 2013, Kyoto, Japan, November 25-27, 2013, Proceedings</p
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