StemNet: An Evolving Service for Knowledge Networking in the Life Sciences

Up until now, crucial life science information resources, whether bibliographic or factual databases, are isolated from each other. Moreover, semantic metadata intended to structure their contents is supplied in a manual form only. In the StemNet project we aim at developing a framework for semantic interoperability for these resources. This will facilitate the extraction of relevant information from textual sources and the generation of semantic metadata in a fully automatic manner. In this way, (from a computational perspective) unstructured life science documents are linked to structured biological fact databases, in particular to the identifiers of genes, proteins, etc. Thus, life scientists will be able to seamlessly access information from a homogeneous platform, despite the fact that the original information was unlinked and scattered over the whole variety of heterogeneous life science information resources and, therefore, almost inaccessible for integrated systematic search by academic, clinical, or industrial users

NL-based automated software requirements elicitation and specification

This paper presents a novel approach to automate the process of software requirements elicitation and specification. The software requirements elicitation is perhaps the most important phase of software development as a small error at this stage can result in absurd software designs and implementations. The automation of the initial phase (such as requirement elicitation) phase can also contribute to a long standing challenge of automated software development. The presented approach is based on Semantic of Business Vocabulary and Rules (SBVR), an OMG’s recent standard. We have also developed a prototype tool SR-Elicitor (an Eclipse plugin), which can be used by software engineers to record and automatically transform the natural language software requirements to SBVR software requirements specification. The major contribution of the presented research is to demonstrate the potential of SBVR based approach, implemented in a prototype tool, proposed to improve the process of requirements elicitation and specification

Interference of five problematic weed species with rice growth and yield

Five weed species namely, Cyperus rotundus L., Cyperus difformis L., Echinochloa colonum (L.) Link., Paspalum paspaloides (Mich.) Scribner, and Marsilea minuta L. were selected for the assessment of their level of competition with two commonly grown rice varieties viz. Basmati-385 and Super Basmati. Root and shoot growth as well as grain yield, in both rice cultivars, were adversely affected due to the weed competition in the field experiments. In general, Super Basmati was found to be comparatively more tolerant to weed infestation than Basmati-385. There were 6 to 40% and 21 to 56% reduction in grain yield of Super Basmati and Basmati-385, respectively, due to different weed species. E. colonum was found to be the most damaging weed which resulted in the highest grain yield losses of 56 and 42% in Basmati-385 and Super Basmati, respectively. P. paspaloides was found to be the second most damaging weed species which caused 47% yield losses in Basmati-385. It was concluded from the study that E. colonum was the most competitive weed. It resulted in the highest yield losses in rice especially in var. Basmati-385.Keywords: Rice, weeds, yield losses

Peri-articular diseases of the hip: emerging frontiers in arthroscopic and endoscopic treatments

The precise diagnosis of both intra and extra-capsular disease of the hip is now possible because of commonly available advanced diagnostic imaging techniques. An increasing number of reports in the orthopedic literature describe new endoscopic and arthroscopic techniques to address peri-articular pathology of the hip. The purpose of this paper is to review current techniques in the management of extra-articular hip conditions

Artificial intelligence in healthcare: transforming the practice of medicine

Artificial intelligence (AI) is a powerful and disruptive area of computer science, with the potential to fundamentally transform the practice of medicine and the delivery of healthcare. In this review article, we outline recent breakthroughs in the application of AI in healthcare, describe a roadmap to building effective, reliable and safe AI systems, and discuss the possible future direction of AI augmented healthcare systems

Herbicidal effects of aqueous extracts of three Chenopodium species on Avena fatua

Herbicidal effects of aqueous leaf extracts of three Chenopodium species; Chenopodium album L., Chenopodium murale L. and Chenopodium ambrosioides were evaluated on wild oat (Avena fatua L.), one of the problematic weeds of wheat. Among the aqueous extracts of 0, 2, 4 and 6% (w/v) employed in bioassays, 6% of C. album and 2% of C. murale caused significant inhibition in germination of A. fatua resulting in 66 and 34% decline in germination, respectively. Lower concentration of 2% of all the three Chenopodium species enhanced seedling growth of A. fatua. The highest extract concentration of C. album (6%) markedly suppressed both length and biomass of shoot of test weed species. The highest herbicidal effect was exhibited by 6% C. album leaf extract, resulting in 88, 89, 70 and 92% reduction in maximum and total root length, number of roots and root biomass, respectively. This study concludes that the aqueous leaf extracts of C. album contain herbicidal constituents for the management of A. fatua.Key words: Aqueous extracts, Avena fatua, Chenopodium, natural herbicides

Echocardiographic Findings and Their Impact on Outcomes of Critically Ill Patients with AIDS in the Era of HAART

Objective. To describe the echocardiographic findings in critically ill patients with AIDS and their impact on clinical outcome. Design. A retrospective chart review of consecutive AIDS patients over 18 years of age, who had a trans-thoracic echocardiogram performed during the course of intensive care unit stay over the course of 2 years at a tertiary care hospital. Main outcome measures. The prevalence of echocardiogram abnormalities in this population and its impact on ICU mortality, ICU length of stay, hospital mortality, hospital length of stay and 60 day survival. Results. Among 107 patients who met the inclusion criteria, an admission echocardiogram was performed in 62 (58%). The prevalence of cardiac abnormalities was 60%. The most common admission diagnosis was respiratory failure n = 27 (43%). The most common finding on echocardiogram was left ventricular (LV) dysfunction n = 31 (50%) followed by pulmonary hypertension n = 25 (40%). None of these findings had a significant impact on clinical outcomes. There was trend toward reduced 60 day survival among patients with depressed LV function. Conclusions. Although echocardiogram abnormalities were prevalent among this population none of these findings had a significant impact on ICU mortality or hospital mortality and ICU length of stay or hospital length of stay

Pain patterns in patients with polycystic kidney disease

Pain patterns in patients with polycystic kidney disease.BackgroundPain is a common problem in patients with polycystic kidney disease (PKD), but patterns have not been characterized as to frequency and severity. Physicians should be aware of pain problems so an approach to chronic pain management can be pursued.MethodsOne hundred seventy-one completed questionnaires out of 300 distributed to PKD patients whose renal function ranged from normal to end-stage renal disease (ESRD) were analyzed. Age at diagnosis of PKD was documented, and patients noted how the diagnosis was made. Location, severity, and frequency of pain were characterized. The Visual Analogue Scale (VAS) was used to measure pain intensity.ResultsThere were 94 females and 77 male respondents, with a mean age of 47.4 years. Initial diagnosis of PKD occurred at a mean age of 31.6 years. Caucasians comprised 92.2% of the respondents. Patients' symptoms, a family history of PKD, and discovery of PKD during evaluation for hypertension or hematuria were the most frequent factors that led to the diagnosis. Order of frequency of pain was: low back pain, abdominal pain, headache, chest pain, and leg pain. Severity of pain, documented by the VAS intensity, was 4 to 5/10 in the majority of patients.ConclusionPain, which can be diffuse, is the most frequent symptom that led to the diagnosis of PKD in patients who responded to this questionnaire, and occurs with greater frequency than generally appreciated. Physicians need to obtain a detailed history about pain in their PKD population so as to allow an approach to pain management

Association patterns of volatile metabolites in urinary excretions among Type-2 Non-Insulin dependent diabetes patients

Background: Patterns of volatile metabolites in urine are important to detect abnormalities associated with diabetes. Present study was conducted to find out the excretion patterns of endogenously produced alcohols in urine for type 2 (Non-Insulin Dependent) diabetes mellitus. A cross sectional analytical study was conducted with duration extended from Jan to Mar 2015.Methods: The current study included 40 patients with chronic type 2 diabetes mellitus. In total, 10 sex and age matched subjects with no history of any disease were considered as controls. Blood sugar was estimated by autoanalyzer using standard kit of Merck following manufacturer`s instructions. Urine sugar was quantitatively detected by biuret reagent using titration technique. Urinary alcohol was identified and estimated by gas chromatography.  Urinary ketone bodies were estimated by urinary strip.Results: It was observed that level of fasting blood sugar was significantly increased (P<0.001) in patients as compared to their controls. The blood sugar and urinary alcohol in patients were 3.0% and 6.0% respectively. Urinary ketone bodies were found to be 2+. On the other hand urine sugar, alcohol and ketone bodies were not detected in the negative control subjects.Conclusions: It is concluded that urinary alcohol is endogenously produced in patients with type 2 diabetes due to uncontrolled hyperglycemia. However further work is needed to find out the ratio of urinary and blood alcohol which may confirm the present findings