128 research outputs found

    DETERMINANTS OF STATEWIDE LAND DEVELOPMENT IN THE UNITED STATES

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    A reduced-form model of developed land area was estimated with data from 49 states for 1982-1997. This area increases with a state's lagged population and its real economic growth rate. The area of developed land is also higher in states with larger areas of water and regions with higher educational performance. Developed areas are lower in states with higher real per capita agricultural production.Community/Rural/Urban Development,

    The Perception of Muslims in Germany: Decoding the German Media Coverage of the Islamic State

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    For decades now, ‘Islam' and ‘Muslims' have always been cause of raging public debates in Germany. The rise of the Islamic State has further dented the image of the second largest religion in Germany. A section of German population earlier was concerned about the changing demographics and took to streets against perceived ‘Islamisation' of the country for which the Islamic State became the prime focus of the media. For a long time now ‘Muslimness' has been taken as the antithesis of ‘Germanness' which has not helped the situation to amicably settle down either. Here an attempt is made to study the patterns in the print media organisations focussed predominantly on the issues related to violence, fundamentalism and intolerance of other religions or pluralistic values; among other themes covered are women subjugation and mosque constructions.  DOI: 10.5281/zenodo.346486

    Retrospective analysis of intrauterine granulocyte colony-stimulating factor in controlled ovarian stimulation with intrauterine insemination cycle

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    Background: Persistent thin endometrium affects <1% of patients. Various treatments have been proposed with no satisfactory results. GCSF is one such treatment modality which improves endometrial thickness and implantation. Aim of this study was to analyse the effects of dose and the site of instilling intrauterine G-CSF in COS IUI cycles in patients with unexplained infertility and to note the pregnancy rates among them.Methods: It is a 3-year retrospective study done in obstetrics and gynecology department of AJ Institute of Medical Sciences and Research Centre, that included all unexplained infertility cycles with controlled ovulation stimulation-IUI protocols where for a thin endometrium GCSF was used. The method of ovarian stimulation, the drug and dose used, the trigger for ovulation and the ovarian and endometrial response was noted. The day of the intrauterine GCSF and the dose and the site of instillation was noted. The endometrial response to GCSF the outcome for pregnancy was noted. All the data was analyzed statistically.Results: Significant endometrial response was seen with a dose of 100 mg,150 mg and 300 mg. Pregnancy outcome was better when GCSF was instilled just above the level of the os. GCSF instilled at the level of the fundus increases the possibility of ectopic pregnancy.Conclusions: Instillation of GCSF of 100 mg dosage just above the os; is a safe and effective method for improving the endometrial thickness and increasing pregnancy rate

    Genetic variability and diversity of grain nutritional and quality traits of unexplored traditional rice landraces for developing biofortified varieties

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    Characterization of grain nutritional and quality traits was done in a total of 192 exotic and indigenous rice genotypes were genetically characterized for 16 grain nutritional and quality traits. Substantial genetic variability was observed for all the traits. The coefficient of variation was maximum for flavonoid content (87.10%) and minimum for kernel breadth (11.90%). The estimated coefficient of skewness and kurtosis indicated the presence of genetic interaction among the traits. Based on grain shape 4, 37, 31, 65 and 55 rice genotypes were classified as short slender, short bold, medium slender, long slender and long bold respectively. Further, kernel length was negatively associated with zinc, iron, phenolics and flavonoid contents. Amylose content was positively associated with protein, phenolics and flavonoid contents suggesting that such relationship could serve as grain indices for indirect selection of genotypes. Four genotypes- Oryza officinalis, Oryza latifolia, IC435559 and IC135877 were identified as donors for zinc and iron contents. The genotypes- IC74637, IC301547, IC301589 and IC301625 were identified as potential donors for both phenolics and flavonoid. Five genotypes viz., IC379109, IC331668, Mancha (M:1028), Dubraj (D:1251) and Laxmibhog (L:708) were identified for grain yield, quality and nutritional traits. The identified donors will be useful to develop nutrient dense biofortified varieties

    Emissions of non-methane volatile organic compounds from combustion of domestic fuels in Delhi, India

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    Twenty-nine different fuel types used in residential dwellings in northern India were collected from across Delhi (76 samples in total). Emission factors of a wide range of non-methane volatile organic compounds (NMVOCs) (192 compounds in total) were measured during controlled burning experiments using dualchannel gas chromatography with flame ionisation detection (DC-GC-FID), two-dimensional gas chromatography (GC×GC-FID), proton-transfer-reaction time-of-flight mass spectrometry (PTR-ToF-MS) and solid-phase extraction two-dimensional gas chromatography with time-offlight mass spectrometry (SPE-GC×GC-ToF-MS). On average, 94% speciation of total measured NMVOC emissions was achieved across all fuel types. The largest contributors to emissions from most fuel types were small non-aromatic oxygenated species, phenolics and furanics. The emission factors (in g kg-1) for total gas-phase NMVOCs were fuelwood (18.7, 4.3-96.7), cow dung cake (62.0, 35.3-83.0), crop residue (37.9, 8.9-73.8), charcoal (5.4, 2.4-7.9), sawdust (72.4, 28.6-115.5), municipal solid waste (87.3, 56.6- 119.1) and liquefied petroleum gas (5.7, 1.9-9.8). The emission factors measured in this study allow for better characterisation, evaluation and understanding of the air quality impacts of residential solid-fuel combustion in India

    Overexpression of Prothymosin Alpha Predicts Poor Disease Outcome in Head and Neck Cancer

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    In our recent study, tissue proteomic analysis of oral pre-malignant lesions (OPLs) and normal oral mucosa led to the identification of a panel of biomarkers, including prothymosin alpha (PTMA), to distinguish OPLs from histologically normal oral tissues. This study aimed to determine the clinical significance of PTMA overexpression in oral squamous cell hyperplasia, dysplasia and head and neck squamous cell carcinoma (HNSCC).Immunohistochemistry of PTMA protein was performed in HNSCCs (n = 100), squamous cell hyperplasia (n = 116), dysplasia (n = 50) and histologically normal oral tissues (n = 100). Statistical analysis was carried out to determine the association of PTMA overexpression with clinicopathological parameters and disease prognosis over 7 years for HNSCC patients.<0.001). Chi-square analysis showed significant association of nuclear PTMA with advanced tumor stages (III+IV). Kaplan Meier survival analysis indicated reduced disease free survival (DFS) in HNSCC patients (p<0.001; median survival 11 months). Notably, Cox-multivariate analysis revealed nuclear PTMA as an independent predictor of poor prognosis of HNSCC patients (p<0.001, Hazard's ratio, HR = 5.2, 95% CI = 2.3–11.8) in comparison with the histological grade, T-stage, nodal status and tumor stage.Nuclear PTMA may serve as prognostic marker in HNSCC to determine the subset of patients that are likely to show recurrence of the disease

    Emissions of intermediate-volatility and semi-volatile organic compounds from domestic fuels used in Delhi, India

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    Biomass burning emits significant quantities of intermediate-volatility and semi-volatile organic compounds (I/SVOCs) in a complex mixture, probably containing many thousands of chemical species. These components are significantly more toxic and have poorly understood chemistry compared to volatile organic compounds routinely quantified in ambient air; however, analysis of I/SVOCs presents a difficult analytical challenge. The gases and particles emitted during the test combustion of a range of domestic solid fuels collected from across Delhi were sampled and analysed. Organic aerosol was collected onto Teflon (PTFE) filters, and residual low-volatility gases were adsorbed to the surface of solid-phase extraction (SPE) discs. A new method relying on accelerated solvent extraction (ASE) coupled to comprehensive two-dimensional gas chromatography with time-of-flight mass spectrometry (GC×GC-ToF-MS) was developed. This highly sensitive and powerful analytical technique enabled over 3000 peaks from I/SVOC species with unique mass spectra to be detected. A total of 15 %-100% of gas-phase emissions and 7 %-100% of particle-phase emissions were characterised. The method was analysed for suitability to make quantitative measurements of I/SVOCs using SPE discs. Analysis of SPE discs indicated phenolic and furanic compounds were important for gas-phase I/SVOC emissions and levoglucosan to the aerosol phase. Gas- and particle-phase emission factors for 21 polycyclic aromatic hydrocarbons (PAHs) were derived, including 16 compounds listed by the US EPA as priority pollutants. Gas-phase emissions were dominated by smaller PAHs. The new emission factors were measured (mg kg-1) for PAHs from combustion of cow dung cake (615), municipal solid waste (1022), crop residue (747), sawdust (1236), fuelwood (247), charcoal (151) and liquefied petroleum gas (56). The results of this study indicate that cow dung cake and municipal solid waste burning are likely to be significant PAH sources, and further study is required to quantify their impact alongside emissions from fuelwood burning

    Non-methane volatile organic compounds emitted from domestic fuels in Delhi: Emission factors and total city-wide emissions

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    In controlled laboratory conditions, 62 samples of domestic fuels collected from 56 grids of Delhi were burnt to quantify the emissions of 23 non-methane volatile organic compounds (NMVOCs), i.e., alkanes (11), alkenes (6), alkynes (1) and aromatic compounds (5). The domestic fuels used for residential activities were comprised of 20 unique types of fuel woods, 3 species of crop residue, dung cakes and coal. These fuels are primarily used for cooking and water/space heating during winters. The current study reports the total emission budget of NMVOCs from domestic burning over Delhi. Furthermore, this study also compares the differences in EFs of NMVOCs which are calculated for different burning cycles and sample collection methods. The EFs of NMVOCs calculated from the samples collected during the flaming stage using canisters were analysed for 23 NMVOCs and then compared with same species emitted from complete burning cycle. In addition to this, 10 consumption and emission hotspot grids were also identified in Delhi; based on the ground survey and laboratory simulated results. The total annual usage of domestic fuels for the year 2019 was found to be 0.415 Mt/yr (million tonnes) in Delhi. 12.01 Gg/yr of annual NMVOC emissions was calculated from domestic fuel burning in which the emissions from dung cake and fuel wood dominated with 6.6 Gg/yr and 5.4 Gg/yr, respectively. The EFs of NMVOCs calculated using canister and online collection method differ significantly from each other. The flaming stage presented enhanced emissions compared to the complete burning cycle by ~7 times which suggests that the method of data analysis and the period of sample collection play a pivotal role in the preparation of an emission inventory and estimating the budget

    Polygenic risk scores and breast and epithelial ovarian cancer risks for carriers of BRCA1 and BRCA2 pathogenic variants

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    Purpose We assessed the associations between population-based polygenic risk scores (PRS) for breast (BC) or epithelial ovarian cancer (EOC) with cancer risks forBRCA1andBRCA2pathogenic variant carriers. Methods Retrospective cohort data on 18,935BRCA1and 12,339BRCA2female pathogenic variant carriers of European ancestry were available. Three versions of a 313 single-nucleotide polymorphism (SNP) BC PRS were evaluated based on whether they predict overall, estrogen receptor (ER)-negative, or ER-positive BC, and two PRS for overall or high-grade serous EOC. Associations were validated in a prospective cohort. Results The ER-negative PRS showed the strongest association with BC risk forBRCA1carriers (hazard ratio [HR] per standard deviation = 1.29 [95% CI 1.25-1.33],P = 3x10(-72)). ForBRCA2, the strongest association was with overall BC PRS (HR = 1.31 [95% CI 1.27-1.36],P = 7x10(-50)). HR estimates decreased significantly with age and there was evidence for differences in associations by predicted variant effects on protein expression. The HR estimates were smaller than general population estimates. The high-grade serous PRS yielded the strongest associations with EOC risk forBRCA1(HR = 1.32 [95% CI 1.25-1.40],P = 3x10(-22)) andBRCA2(HR = 1.44 [95% CI 1.30-1.60],P = 4x10(-12)) carriers. The associations in the prospective cohort were similar. Conclusion Population-based PRS are strongly associated with BC and EOC risks forBRCA1/2carriers and predict substantial absolute risk differences for women at PRS distribution extremes.Peer reviewe

    Large expert-curated database for benchmarking document similarity detection in biomedical literature search

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    Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe
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