127 research outputs found

    Outcome of ATP-based tumor chemosensitivity assay directed chemotherapy in heavily pre-treated recurrent ovarian carcinoma

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    BACKGROUND: We wished to evaluate the clinical response following ATP-Tumor Chemosensitivity Assay (ATP-TCA) directed salvage chemotherapy in a series of UK patients with advanced ovarian cancer. The results are compared with that of a similar assay used in a different country in terms of evaluability and clinical endpoints. METHODS: From November 1998 to November 2001, 46 patients with pre-treated, advanced ovarian cancer were given a total of 56 courses of chemotherapy based on in-vitro ATP-TCA responses obtained from fresh tumor samples or ascites. Forty-four patients were evaluable for results. Of these, 18 patients had clinically platinum resistant disease (relapse < 6 months after first course of chemotherapy). There was evidence of cisplatin resistance in 31 patients from their first ATP-TCA. Response to treatment was assessed by radiology, clinical assessment and tumor marker level (CA 125). RESULTS: The overall response rate was 59% (33/56) per course of chemotherapy, including 12 complete responses, 21 partial responses, 6 with stable disease, and 15 with progressive disease. Two patients were not evaluable for response having received just one cycle of chemotherapy: if these were excluded the response rate is 61%. Fifteen patients are still alive. Median progression free survival (PFS) was 6.6 months per course of chemotherapy; median overall survival (OAS) for each patient following the start of TCA-directed therapy was 10.4 months (95% confidence interval 7.9-12.8 months). CONCLUSION: The results show similar response rates to previous studies using ATP-TCA directed therapy in recurrent ovarian cancer. The assay shows high evaluability and this study adds weight to the reproducibility of results from different centre

    The remnants of galaxy formation from a panoramic survey of the region around M31

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    In hierarchical cosmological models, galaxies grow in mass through the continual accretion of smaller ones. The tidal disruption of these systems is expected to result in loosely bound stars surrounding the galaxy, at distances that reach 1010010 - 100 times the radius of the central disk. The number, luminosity and morphology of the relics of this process provide significant clues to galaxy formation history, but obtaining a comprehensive survey of these components is difficult because of their intrinsic faintness and vast extent. Here we report a panoramic survey of the Andromeda galaxy (M31). We detect stars and coherent structures that are almost certainly remnants of dwarf galaxies destroyed by the tidal field of M31. An improved census of their surviving counterparts implies that three-quarters of M31's satellites brighter than MV<6M_V < -6 await discovery. The brightest companion, Triangulum (M33), is surrounded by a stellar structure that provides persuasive evidence for a recent encounter with M31. This panorama of galaxy structure directly confirms the basic tenets of the hierarchical galaxy formation model and reveals the shared history of M31 and M33 in the unceasing build-up of galaxies.Comment: Published in Nature. Supplementary movie available at https://www.astrosci.ca/users/alan/PANDAS/Latest%20news%3A%20movie%20of%20orbit.htm

    Prediction of Preterm Deliveries from EHG Signals Using Machine Learning

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    There has been some improvement in the treatment of preterm infants, which has helped to increase their chance of survival. However, the rate of premature births is still globally increasing. As a result, this group of infants are most at risk of developing severe medical conditions that can affect the respiratory, gastrointestinal, immune, central nervous, auditory and visual systems. In extreme cases, this can also lead to long-term conditions, such as cerebral palsy, mental retardation, learning difficulties, including poor health and growth. In the US alone, the societal and economic cost of preterm births, in 2005, was estimated to be $26.2 billion, per annum. In the UK, this value was close to £2.95 billion, in 2009. Many believe that a better understanding of why preterm births occur, and a strategic focus on prevention, will help to improve the health of children and reduce healthcare costs. At present, most methods of preterm birth prediction are subjective. However, a strong body of evidence suggests the analysis of uterine electrical signals (Electrohysterography), could provide a viable way of diagnosing true labour and predict preterm deliveries. Most Electrohysterography studies focus on true labour detection during the final seven days, before labour. The challenge is to utilise Electrohysterography techniques to predict preterm delivery earlier in the pregnancy. This paper explores this idea further and presents a supervised machine learning approach that classifies term and preterm records, using an open source dataset containing 300 records (38 preterm and 262 term). The synthetic minority oversampling technique is used to oversample the minority preterm class, and cross validation techniques, are used to evaluate the dataset against other similar studies. Our approach shows an improvement on existing studies with 96% sensitivity, 90% specificity, and a 95% area under the curve value with 8% global error using the polynomial classifier

    Perception of Students and Lecturers on Students Centered Learning (SCL) in the College of Nursing and Midwifery Gombe Northern Nigeria

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    Topmost among the 21st century innovations in pedagogy is the introduction of the constructivist approach in which students are afforded wide latitude of involvement in constructing, reconstructing and ascending a scaffold of knowledge based on student centered learning (SCL) approach. This study aimed to assess the perception of SCL introduced as a form of teaching and learning among students and lecturers in the College of Nursing and Midwifery, Gombe State, Nigeria. Employing a descriptive cross sectional study design and a purposive sampling technique, a sample of 117 students and 24 lecturers were drawn. Using an adapted SCL questionnaire, data collection was done from November to December, 2020 and was analyzed using SPSS (IBM) version 23 and result presented as means and percentages, while Pearson correlation and one-way ANOVA was used to present inferential statistics results. All statistical findings were considered significant at p≥0.05. Cronbach’s alpha reliability score of at least 7.0 was achieved within each set of variables considered. Of the eight SCL components assessed, the most highly rated were role of lecturers (3.99±0.7) and role of students (3.53±0.6) while the least rated were obstacles (2.91±0.9) and learning outcomes (2.95±1.1). Three major obstacles to SCL identified in the study include: “in ability to cover the syllabus using SCL approaches” (3.04±1.4); “lack of infrastructure for SCL in my school” (3.87±1.1) and; “lack of guidelines for the SCL approach in my school” (3.13±1.3). The study findings conclude that, despite the good perception of SCL in the college there are limitations to its full adoption. Therefore, it is recommended that online discussions, training of staff and provision of measures to ensure content coverage using SCL, provision of critical infrastructure and guidelines for SCL be prioritized by the management and other stakeholders

    Malaria prevention and treatment awareness and practice among patent medicine vendors (PMVs) in Gombe Metropolis, Nigeria

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    The ravaging consequences of Malaria in Sub-Saharan Africa (SSA) have been a subject of serious concern to every stakeholder. Literature and anecdotal evidence shows that around 60% of Nigerians seek fever treatment from Patent Medicine Vendors (PMVs) despite the limited formal dispensing knowledge most possess. This study attempts to establish a base line of knowledge, attitude and practices of Malaria control among PMVs in Gombe Metropolis, North Eastern Nigeria. The study was a descriptive cross sectional survey based on structured questionnaires used to collect relevant information from 109 PMVs selected by purposive sampling technique. The result show that 85.3% of the participants in this study correctly identified fever or high body temperature as the common sign of uncomplicated (UC) Malaria, while 70.6% recognized convulsion as one of the main symptoms of severe Malaria. Furthermore, 86.2% of the PMVs also knew that sleeping inside treated nets constitute one of the best ways to prevent Malaria. In the same vein, awareness of change in Malaria treatment policy from monotherapy to Artemisinin based combination therapy (ACT) was high (73.3%) among them. However, those PMVs that had ever undergone some degree of drug dispensing training exhibited a significantly higher level of awareness of change in malaria treatment policy (X2 =17.903, P = 0.000). Although 85.3% of PMVs frequently recommend Arthemeter Lumefantrine (AL) as treatment of uncomplicated Malaria, only 39.4% of the participants would refer severe malaria cases. Even though most Malaria control awareness and practice variables were found to be fairly good among the participants, it is clear from the study that there is the need for enhanced training, monitoring and supervision by the relevant authorities so as to fully harness the vast potential in PMVs

    Aging brain from a network science perspective: Something to be positive about?

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    To better understand age differences in brain function and behavior, the current study applied network science to model functional interactions between brain regions. We observed a shift in network topology whereby for older adults subcortical and cerebellar structures overlapping with the Salience network had more connectivity to the rest of the brain, coupled with fragmentation of large-scale cortical networks such as the Default and Fronto-Parietal networks. Additionally, greater integration of the dorsal medial thalamus and red nucleus in the Salience network was associated with greater satisfaction with life for older adults, which is consistent with theoretical predictions of age-related increases in emotion regulation that are thought to help maintain well-being and life satisfaction in late adulthood. In regard to cognitive abilities, greater ventral medial prefrontal cortex coherence with its topological neighbors in the Default Network was associated with faster processing speed. Results suggest that large-scale organizing properties of the brain differ with normal aging, and this perspective may offer novel insight into understanding age-related differences in cognitive function and well-being. © 2013 Voss et al

    A low-power high-speed InP microdisk modulator heterogeneously integrated on a SOI waveguide

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    We report on the modulation characteristics of indium phosphide (InP) based microdisks heterogeneously integrated on a silicon–on–insulator (SOI) waveguide. We present static extinction ratios and dynamic operation up to 10 Gb/s. Operation with a bit–error rate below 1 × 10-9 is demonstrated at 2.5, 5.0 and 10.0 Gb/s and the performance is compared with that of a commercial modulator. Power penalties are analyzed with respect to the pattern length. The power consumption is calculated and compared with state–of–the–art integrated modulator concepts. We demonstrate that InP microdisk modulators combine low–power and low–voltage operation with low footprint and high–speed. Moreover, the devices can be fabricated using the same technology as for lasers, detectors and wavelength converters, making them very attractive for co–integration

    Quality of Work Life (QoWL) and Perceived Workplace Commitment among Seasonal Farmers in Nigeria

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    This study set out to research the impact of Quality of Work Life (QoWL) in Low- and Middle-Income Countries (LMICs) and the perception of farm workers regarding how both intrinsic and extrinsic control elements within and outside the work setting impact their productivity within the farming industry in Nigeria. To our knowledge, this is the first study that has considered QoWL among farm workers in Nigeria. Farm workers in the Middle Belt region in Nigeria (n = 435) were surveyed using a QoWL questionnaire consisting of 32 Likert scale items to measure their perceived quality of work life based on seven dimensional factors. Results indicated that more than half (60.6%) of the sampled group confirmed working far above the national working hours of 40 h per week. Significant differences exist between respondent gender on control at work (CAW) (F = 10.03, p &lt; 0.001) and working conditions (WCS) (F = 12.04, p &lt; 0.001), with women having better QoWL. Farm worker job satisfaction, especially in LMICs, is an important element that can lead to high productivity and sustainability of the sector. To achieve a level of sustainability and food security in Nigeria, there is the need to improve opportunities for greater stability among farmers. Farm workers could benefit from tailored training initiatives around stress management and work–life balance, as well as workplace safety nad health and wellbeing as a means of boosting their confidence and enhance sustainable productivity. In addition, this paper holds the potential to inform framework development for assessing QoWL within the farming industry in Nigeria and encourage further research around the impact of job insecurity on the nation’s food security
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