544 research outputs found

    2007-2008 Master Class - Craig Knox (Tuba)

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    https://spiral.lynn.edu/conservatory_masterclasses/1122/thumbnail.jp

    Band Structure of InAs/GaSb coupled quantum wells studied by magnetotransport

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    This thesis describes the characterisation of InAs/GaSb coupled quantum wells in the electron-dominated regime. The “inverted” band gap, created by electron-hole coupling within this material is predicted to give rise to a quantum spin Hall phase, where carrier dynamics are dominated by ballistic, spin-polarised, edge states. If it was possible to inject spin into these edge-states, this material could become the foundation for future spintronic devices. However, the effect of this electron-hole coupling on the electron dominated transport is relatively unexplored. Therefore, this thesis studies the electron dominated regime in a variety of quantum wells, and highlights the differences between this coupled system and the single 2DEG transport, seen in previous studies of single InAs wells. The effect the coupling has on the transport in the absence of a gate bias is probed by comparing the transport in a simple InAs/GaSb well to a similar well with an inter-layer AlSb barrier. Once it was determined that two carrier, electron-hole, transport exists in the InAs/AlSb/GaSb well, but not in the simple InAs/GaSb well, the effect of gate biases on the magnetotransport through the simple coupled well was also probed. In that case, the effects of higher order electron-hole coupling on the band-structure within this interesting coupled quantum well system was observed. Finally, the spin-orbit coupling within this strongly coupled quantum well system is investigated. The Dresselhaus and Rashba spin-orbit coupling terms are explicitly calculated and their dependences on a small gate bias are noted. In particular, the Rashba spin orbit coupling is not only much larger than that observed in single InAs quantum wells, but it shows a remarkable dependence on the quantum well growth conditions. This strong spin-orbit coupling could have a profound impact on the quantum spin Hall effect predicted to arise in this material system, perturbing the polarisation axis of the quantum spin Hall state

    A case series of premenstrual disorders presenting to the UK's National Female Hormone Clinic

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    Aims and method We aimed to describe the clinical characteristics of female patients presenting with premenstrual disorders to a tertiary service in the UK. We conducted a retrospective case-note review of referrals to the National Female Hormone Clinic from April 2014 to August 2020. Based on clinical assessment, we determined whether the patient met criteria for premenstrual dysphoric disorder or premenstrual exacerbation of an underlying psychiatric disorder. Results Of 146 patients seen in clinic for premenstrual disorders, an ICD-10 psychiatric diagnosis was made in 130 (89.0%); a minority 16 (11.0%) did not have a psychiatric diagnosis. Following assessment, 94 patients (64.4%) met criteria for premenstrual dysphoric disorder and 67 (45.6%) had exacerbation of a psychiatric disorder. Clinical implications Patients presenting to this specialist service had complex psychiatric comorbidity; almost half presented with exacerbation of a psychiatric disorder

    Arboviral disease outbreaks in the Pacific Islands countries and areas, 2014 to 2020: a systematic literature and document review

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    Arthropod-borne diseases pose a significant public health threat, accounting for greater than 17% of infectious disease cases and 1 million deaths annually. Across Pacific Island countries and areas (PICs), outbreaks of dengue, chikungunya, and Zika are increasing in frequency and scale. Data about arbovirus outbreaks are incomplete, with reports sporadic, delayed, and often based solely on syndromic surveillance. We undertook a systematic review of published and grey literature and contacted relevant regional authorities to collect information about arboviral activity affecting PICs between October 2014 and June 2020. Our literature search identified 1176 unique peer-reviewed articles that were reduced to 25 relevant publications when screened. Our grey literature search identified 873 sources. Collectively, these data reported 104 unique outbreaks, including 72 dengue outbreaks affecting 19 (out of 22) PICs, 14 chikungunya outbreaks affecting 11 PICs, and 18 Zika outbreaks affecting 14 PICs. Our review is the most complete account of arboviral outbreaks to affect PICs since comparable work was published in 2014. It highlights the continued elevated level of arboviral activity across the Pacific and inconsistencies in how information about outbreaks is reported and recorded. It demonstrates the importance of a One-Health approach and the role that improved communication and reporting between different governments and sectors play in understanding the emergence, circulation, and transboundary risks posed by arboviral diseases

    DrugBank: a comprehensive resource for in silico drug discovery and exploration

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    DrugBank is a unique bioinformatics/cheminformatics resource that combines detailed drug (i.e. chemical) data with comprehensive drug target (i.e. protein) information. The database contains >4100 drug entries including >800 FDA approved small molecule and biotech drugs as well as >3200 experimental drugs. Additionally, >14 000 protein or drug target sequences are linked to these drug entries. Each DrugCard entry contains >80 data fields with half of the information being devoted to drug/chemical data and the other half devoted to drug target or protein data. Many data fields are hyperlinked to other databases (KEGG, PubChem, ChEBI, PDB, Swiss-Prot and GenBank) and a variety of structure viewing applets. The database is fully searchable supporting extensive text, sequence, chemical structure and relational query searches. Potential applications of DrugBank include in silico drug target discovery, drug design, drug docking or screening, drug metabolism prediction, drug interaction prediction and general pharmaceutical education. DrugBank is available at

    ClassyFire: automated chemical classification with a comprehensive, computable taxonomy

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    Additional file 5. Use cases. Text-based search on the ClassyFire web server. (A) Building the query. (B) Sparteine, one of the returned compounds
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