31 research outputs found
Replication Data for: Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction from LiDAR Data with Limited Annotations
No full textThe dataset comprises the pretraining and testing data for our work: Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction from LiDAR Data with Limited Annotations. The pretaining data consists of images corresponding to the Digital Surface Models (DSM) and Digital Terrain Models (DTM) obtained from Norway, with a ground resolution of 1 meter, utilizing the UTM 33N projection. The primary data source for this dataset is the Norwegian Mapping Authority (Kartverket), which has made the data freely available on their website under the CC BY 4.0 license (Source: https://hoydedata.no/, License terms: https://creativecommons.org/licenses/by/4.0/)
The DSM and DTM models are generated from 3D LiDAR point clouds collected through periodic aerial campaigns. During these campaigns, the LiDAR sensors capture data with a maximum offset of 20 degrees from the nadir. Additionally, a subset of data also includes building footprints/labels created using the OpenStreetMap (OSM) database. Specifically, building footprints extracted from the OSM database were rasterized to match the grid of the DTM and DSM models. These rasterized labels are made available under the Open Database License (ODbL) in compliance with the OSM license requirements. We hope this dataset facilitates various applications in geographic analysis, remote sensing, and machine learning research
The impact of Covid-19 on the mental health of University students at LJMU during lockdown
No full textBackground: Coronavirus (COVID-19) has a profound impact on the well-being of all groups of people in every country globally. The lockdown and social restrictions which started early in 2020 have subsequently increased and worsened individuals’ mental health and well-being. Mental well-being is a global concern and crucial to quality of life according to an individuals’ ability to deal with life\u27s ups and downs. Mental issues like anxiety and depression are part of students’ lives which could negatively impact their quality of life. This may lead to serious public health risks such as physical illness, increased substance usage and sleep deprivation. A key challenge for the public health workforce is to promote and improve the overall health and wellbeing of the nation. Major efforts and various public health campaigns have already been initiated targeting the risk factors due to mental health illness. This study aims to assess the levels of anxiety and depression during the first COVID-19 lockdown in a sample of students studying at Liverpool John Moores University.
Methods: This study was granted full ethical approval by Liverpool John Moore University ethical committee in May 2021. A quantitative study was conducted based on a previously validated online survey through the JISC platform. Survey participants were recruited using convenience sampling. A total of 90 undergraduate and postgraduate university students took part in the survey and the data was analysed using SPSS software. Participants were asked for demographic information such as age, gender. Levels of anxiety and depression were measured using GAD and PHQ scales and coping mechanisms were analysed using the Brief COPE Likert scale.
Results: The responses from participants show that COVID-19 had a substantially negative impact on their mental health Although no statistically significant results on the mental health of university students in the UK were found, with the exception of emotional support and participants’ focusing on their work to deviate their mind from going into a depressive state, which had strong statistical differences.
Conclusion: The COVID-19 pandemic had a significant impact on educational sectors around the world. Mental health has received recognition as a sizable public health issue and expanding portion of all disease burdens worldwide is caused by mental health issues. The aim of this study was to assess the impact of the COVID-19 pandemic on the mental health of university students at LJMU during the first lockdown. This study concluded that the COVID-19 pandemic has had a negative impact on students in the UK; as a result, they were trying to adapt positive coping strategies to deal with the difficulties during pandemic including more emotional support and using other means to focus their minds. This shows that implementing motivational strategies within a university environment can have a clear impact on the students’ mental health state
An Analysis Of The Overlap Of Trademark And Copyright
No full textThe Intellectual property system provides for various laws, all of which are in greater interest of the society. Among those laws are Copyright and Trademark, which serves to further the creativity and to prevent the consumer confusion in the market respectively. These functions of both the laws are to be maintained and protected as it is, to balance the equilibrium and to sustain the interests of the objectives of the intellectual property regime. The moment one law intervenes into the subject matter of another, or one law is made to circumvent the laws of another, there occurs a distortion in the above mentioned equilibrium, which would then disrupt the whole system. Such an overlap thus needs to be prevented
Revisiting Wiedemann-Franz law through Boltzmann transport equations and ab-initio density functional theory
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M694V gene polymorphism may not contribute to the pathogenesis of reactive arthritis in the North Indian population
No full textIntroduction: Reactive arthritis (ReA) is a postinfectious, nonseptic arthritis that is characterized by an acute lower limb predominant oligoarthritis. Inflammasome activation and its contribution to autoinflammatory loop are described in spondyloarthritis (SpA). ReA may present a forme fruste of diseases with autoinflammation as in familial Mediterranean fever. Therefore, we investigated the presence of gene polymorphisms of the Mediterranean fever (MEFV) gene in patients with ReA.
Methods: Patients of ReA presenting to a Tertiary Hospital in North India were enrolled and evaluated for MEFV gene polymorphism by restriction fragment length polymorphism analysis.
Results: Forty-nine patients (male:female – 37:12), including five juvenile ReA were included during the study. The median age was 25 (±11) years and disease duration was 0.76 (±1.33) months. Twenty-six cases were triggered by preceding enteritis and 23 by urethritis. Ten healthy controls of age 27 (male:female – 7:3, interquartile range ± 1.5) were included for comparison. All 49 patients of adult and juvenile ReA were negative for the M694V mutation.
Conclusions: This is the first study assessing the prevalence of MEFV gene mutation in SpA in India. It is difficult to ascertain if the lack of association is limited to the Indian subcontinent
T cell activation and proliferation following acute exercise in human subjects is altered by storage conditions and mitogen selection
No full text7-1444
Clinical profile of neonatal candidiasis in newborn nursery
No full textBackground: Candidiasis refers to infection with fungi of the genus candida. Candida infections are frequent and major causes of septicemia in neonatal intensive care units and are associated with high morbidity and mortality. Low birth weight preterm infants are especially vulnerable to these devastating infections. Candida infections are a major cause of septicemia in neonatal ICUs and may affect 1.6% to 12.9% of very low birth weight infants. The smaller the infant is, the greater is the likelihood for systemic fungal infection to develop.Methods: 40 Newborns with culture proven candidiasis admitted in new-born nursery of Government T. D Medical College, Alappuzha, were selected for the study. The significance of different parameters such as gender, gestational age, birth weight, Apgar score, duration of hospital stays, central venous catheter and use of third generation cephalosporins were analysed. Clinical profile like apnoea, feed intolerance, requirement of ventilator support, temperature instability, thrombocytopenia, hyperglycemia etc. were analyzed.Results: Out of 40 newborns 39 were preterms, 42% of study population were having a birth weight of 1-1.5 kg, 33% with a birth weight of 1.5-2 kg and 20% with a birth weight of <1 kg.75% of the study population were hospitalized for >1 week. In the study group 58% had feed intolerance, 52.5% needed ventilator support, 52.5% had temperature instability, 70% had thrombocytopenia 50% had apnea and 4% had hyperglycemia. The overall survival was 60%.Conclusions: Prematurity, low birth weight and prolonged hospital stay were associated with increased risk of candidiasis. Feed intolerance, increased need for ventilator support, apnea, temperature instability and thrombocytopenia were significant clinical parameters. </jats:p
Redox Sensing by PecS from the Plant Pathogen Pectobacterium atrosepticum and Its Effect on Gene Expression and the Conformation of PecS-Bound Promoter DNA
No full textAutomated Detection System for Diabetic Retinopathy Using Two Field Fundus Photography
No full textAbstractDiabetic retinopathy (DR) is a leading cause of vision loss, caused by damage to the retina from complications of diabetes. Analysis of the retinal photographs for key characteristics of DR can result in early diagnosis and better management of DR. This paper presents a method for automated analysis and classification of the retina as DR or non-DR using two-field mydriatic fundus photography. The optic disc region is located by multi-level wavelet decomposition and recursive region growing from an automatically identified seed point. Blood vessels are extracted by applying histogram analysis on the two median filtered images. Red lesions are detected using three stage intensity transformation and white lesions from multi-level histogram analysis. The final classification of the retina as DR or non-DR is based on an aggregate of the lesions extracted from each image. The proposed method has been validated against diagnosis by a panel of expert ophthalmologists on images from 368 patients. The observed sensitivity and specificity were 80% and 50% respectively. The results show that automated screening based on two-field photography can be applied in routine screening
