201 research outputs found

    TEA DRINKING HABITS AND OSTEOPOROTIC HIP/FEMUR FRACTURES

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    Dr. Abubakr Cheema*, Dr. Noor Fatima Ahmad and Dr. Imran Haya

    Genetic Divergence in Brassica napus L. Germplasm as Determined by Quantitative Attributes

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    Brassica napus L., a candidate with high yield and good quality oil potential was evaluated for genetic divergence for two years on two locations. A collection of 328 lines belonging to various origins along with a check variety Faisal Canola was sown in the field following augmented design and phenotyped for eighteen quantitative traits. The recorded data when statistically analyzed inferred that, days to flower initiation, 50 % flowering, flower completion, 50 % maturity were main contributors of variations in the germplasm and were highly related with pod dehiscence and yield. Furthermore, BN328, BN371, BN494, BN618, BN625 and BN627 were found diverse lines in both years. The outcomes from this study are very helpful to proceed for any Oilseed rape breeding programs to improve yield

    Multiple Long-Term Conditions (MLTC) and the Environment: A Scoping Review

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    Background: Multiple Long Term conditions (MLTC) are a major health care challenge associated with high service utilisation and expenditure. Once established, the trajectory to an increased number and severity of conditions, hospital admission, increased social care need and mortality is multifactorial. The role of wider environmental determinants in the MLTC sequelae is unclear. Aim: the aim of this review was to summarise and collate existing evidence on environmental determinants on established MLTC. Methods: comprehensive search of Medline, Embase, Cochrane, CINAHL and Bielefeld Academic Search Engine (BASE), from inception to 4th June 2022 in addition to grey literature. Two authors independently screened and extracted papers. Disagreements were resolved with a third author. Results: searches yielded 9079 articles, 12 of which met the review’s inclusion criteria. Evidence of correlations between some environmental determinants and increased or decreased risks of MLTC were found, including the quality of internal housing/living environments, exposure to airborne environmental hazards and a beneficial association with socially cohesive, accessible and greener neighbourhood environments. Conclusions: The majority of the 12 included papers focused on the built and social environments. The review uncovered very limited evidence, indicating a need for further research to understand the role of environmental determinants in MLTC

    Rainfall Extremes: a Novel Modeling Approach for Regionalization

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    The rainfall events of extreme magnitude over the past few decades have caused destructive damages to lives and properties, especially in the subcontinent (e.g. Pakistan, India, Bangladesh etc). Rainfall hazard maps for these areas can be of great practical and theoretical interests. In our work, we used extreme value analysis and spatial interpolation techniques to provide such maps through a combination of the Tropical Rainfall Measuring Mission Precipitation (TRMM) 3B42 product and raingauge data. This mixed approach takes advantage of both the long time series available at a limited number of stations, and the large spatial coverage of the satellite data which, instead, has a poor temporal extent. The methodology is implemented by (1) creating a unique growth curve for the homogeneous region by utilizing in-situ rainfall data and (2) mapping the parameters of intensity-duration functions for the entire length of the study area by using TRMM 3B42 product. The regional results obtained by using mixed approach and TRMM 3B42 are compared with the estimates obtained by using in-situ data. The comparison showed that the overall output of mixed approach is more consistent with what transpired by in-situ data for a pre-defined return period

    Is phone time smart time? Investigating the effects of your smartphone on attention

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    43% of people in the world owned a smartphone in 2016 (Han & Yi, 2018; Kim & Koh, 2018). We view smartphones as an extension of ourselves and have since become addicted. 50% of users check their phones within minutes of waking up and it is the last thing they check before going to bed. Of those most affected are females, who tend to spend an average of 5.2 hours on their smartphones vs. 3.9 hours for males (Nayak, 2018). Students bring their phones to class and do not realize how distracting they are. When asked on average how many times they access their phones, students reported only 3 times per class, but in reality it was over 20 times (Felisoni & Godoi, 2018). This has serious implications on their academic performance. Our hypothesis: The closer and more visible the phone is to an individual, the more it will negatively impact their ability to focus their attention on a task-relevant activity. Conclusions: Females reportedly use their phones more than males, however our results indicate this causes no negative impact on their attention when compared to males. Students significantly underestimate how often they check their phones, so it is highly likely that their self-reported phone usage number was inaccurate. This could explain the weak correlations we found between phone access and scores. Class A performed better than Class B when their phones were not present, implying two things: Class A included more students who are more reliant on their phones. The type of class structure or the type of subject impacts attention. The authors of the d2 Test of Attention indicated that scores on a second trial will always improve. Yet CP performance for Class A was significantly better on their first trial (without phone) than their second trial (with phone). This implies that the presence of a smartphone does negatively impact cognitive performance. The presence of your phone CAN impact performance from a min. of 2% up to 23%.Not peer reviewedStudent Research Day Poster (2019

    Unveiling Global Narratives: A Multilingual Twitter Dataset of News Media on the Russo-Ukrainian Conflict

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    <p>We present a dataset that collects tweets from news media channels worldwide that pertain to the Russo-Ukrainian war. This dataset spans a period of February 2022-May 2023. The dataset is unique in its global scope, encompassing tweets in various languages and from different parts of the world. Additionally, we extracted information about the stance, sentiment, prominent entities & concepts that occur in tweets to be able to answer questions about the discourse: who says what (prominent entities), who stands (stance) where on what aspect (prominent concepts), how are the aspects portrayed (sentiment). We also downloaded the images attached to the post and classified them to extract image tags for each image. The dataset includes 1,524,826 tweets, out of which 306,295 tweets have images, for 60 languages.<br><br>The source code for the collection and processing of tweets can be found on here: <a href="https://github.com/sherzod-hakimov/ru-ua-news-discourse-twitter"><em>https://github.com/sherzod-hakimov/ru-ua-news-discourse-twitter</em></a></p> <p>Each entry in the dataset is a single JSON line and has the following entries:</p> <pre><code>{ 'tweet_id': 'lang': 'stanza_output': 'stanza_named_entities': 'sentiment': 'stance': 'channel': 'country': 'verified':<br>'image_tags': }</code></pre> <pre> </pre> <p><em><strong>If you need access to the full text of the dataset, please</strong> <strong>contact us via an email: <a href="mailto:[email protected]">sherzodhakimov (at sign) gmail.com</a></strong></em><br><br>If you find the resources useful, please cite us:<br><br>```</p> <p>@inproceedings{hakimov2023unveiling,<br>      title={Unveiling Global Narratives: A Multilingual Twitter Dataset of News Media on the Russo-Ukrainian Conflict}, <br>      author={Sherzod Hakimov and Gullal S. Cheema},<br>      booktitle={Proceedings of the 2024 {ACM} International Conference on Multimedia Retrieval, {ICMR} 2024},<br>      year={2024}<br>}<br>```</p&gt
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