2007-2008 Master Class - Craig Knox (Tuba)

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

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

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

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

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

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

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

Murray Valley encephalitis: a review of clinical features, diagnosis and treatment

Murray Valley encephalitis virus (MVEV) is a mosquito-borne virus that is found across Australia, Papua New Guinea and Irian Jaya. MVEV is endemic to northern Australia and causes occasional outbreaks across south-eastern Australia. 2011 saw a dramatic increase in MVEV activity in endemic regions and the re-emergence of MVEV in south-eastern Australia. This followed significant regional flooding and increased numbers of the main mosquito vector, Culex annulirostris, and was evident from the widespread seroconversion of sentinel chickens, fatalities among horses and several cases in humans, resulting in least three deaths. The last major outbreak in Australia was in 1974, during which 58 cases were identified and the mortality rate was about 20%. With the potential for a further outbreak of MVEV in the 2011–2012 summer and following autumn, we highlight the importance of this disease, its clinical characteristics and radiological and laboratory features. We present a suspected but unproven case of MVEV infection to illustrate some of the challenges in clinical management. It remains difficult to establish an early diagnosis of MVEV infection, and there is a lack of proven therapeutic options