Search

Your search keyword '"Lees, T"' showing total 427 results
Start Over Author "Lees, T"
427 results on '"Lees, T"'

2. Formation of the Lawn Hill Impact Structure.

Author

Lees, T. and O'Donohue, D.

Subjects
*ORE deposits, *METEORITE craters, *LAWNS, *IMPACT craters, *GEOPHYSICS, *PROTEROZOIC Era, *LUNAR craters
Abstract

The Ordovician-aged Lawn Hill Impact Structure is perhaps unique among documented craters, in that it is largely filled with slumped, allochthonous Cambrian carbonates partly fluidised by the impact shock. It is a complex geological feature, with a thin horizon of suevite beneath carbonate sheets. The bulk of the impact ejecta material was either deposited on top of the mobilised carbonates, and not preserved owing to erosion, or is present beneath the base of current drilling. The geometry of the crater in its final form has been modelled in three dimensions using gravity data and dipole–dipole-induced polarisation geophysics, with control from an extensive drill-hole library. Post-impact modification, including terrace formation and carbonate fill, has resulted in an asymmetric ring syncline, which extends to depths >600 m. In the data-rich area of the Century zinc–lead–silver deposit, on the southwest margin of the crater, both intact and remnants of the crater rim and impact ejecta blanket were preserved above the deposit. The Proterozoic ore deposit is located on a detached terrace, which slumped into the crater and was buried by allochthonous carbonates from the Georgina basin. The sequence of events can be shown to comprise: impact with crater formation and injection of carbonate dykes and inter-thrust wedges in the crater walls with concurrent suevite deposits inside and surge deposits outside the crater; this was rapidly followed by slumping of carbonate mega-blocks transported by a fluidised carbonate slurry into the crater, concomitant with collapse of Proterozoic terraces; finally, collapse of the central crater uplift generated imbricate slices of Cambrian carbonate among mainly Proterozoic rocks inside the ring syncline. After impact, the Ordovician-aged Lawn Hill Impact Structure crater was filled with slumped terraces of Proterozoic sediments and Pb–Zn ore, fluidised Cambrian carbonate, plus mega-clasts of both of those, on top of a thin but persistent hematitic suevite. Outside the crater, remnants of base surge and debris deposits represent the ejecta blanket. The Century Zn–Pb deposit was preserved on a disrupted terrace; the crater rim was partially preserved above the deposit and the mineralised sequence truncated by the crater wall. Geophysical and drilling data show a terraced, asymmetric ring syncline, up to at least 600 m thick in places. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

6. Choices of Stent and Cerebral Protection in the Ongoing ACST-2 Trial: A Descriptive Study

Author

Fraedrich, G., Rantner, B., Gizewski, E., Gruber, I., Hendriks, J., Cras, P., Lauwers, P., van Scheil, P., Vermassen, F., Van Herzeele, I., Geenens, M., Hemelsoet, D., Lerut, P., Lambrecht, B., Saad, G., Peeters, A., Bosiers, M., da Silva, E., de Luccia, N., Sitrangulo, J.C., Jr., Estenssoro, A.E.V., Presti, C., Casella, I., Monteiro, J.A.T., Campos, W., Jr., Puech-Leao, P., Petrov, V., Bachvarov, C., Hill, M., Mitha, A., Wong, J., Liu, C.-W., Bao, L., Yu, C., Cvjetko, I., Vidjak, V., Fiedler, J., Ostry, S., Sterba, L., Kostal, P., Staffa, R., Vlachovsky, R., Privara, M., Kriz, Z., Vojtisek, B., Krupa, P., Reif, M., Benes, V., Buchvald, P., Endrych, L., Prochazka, V., Kuliha, M., Otahal, D., Hrbac, T., Netuka, D., Mohapl, M., Kramier, F., Eldessoki, M., Heshmat, H., Abd-Allah, F., Palmiste, V., Margus, S., Toomsoo, T., Becquemin, J.-P., Bergeron, P., Abdulamit, T., Cardon, J.-M., Debus, S., Thomalla, G., Fiehler, J., Gerloss, C., Grzyska, U., Storck, M., LaMacchia, E., Eckstein, H.H., Söllner, H., Berger, H., Kallmayer, M., Popert, H., Zimmermann, A., Guenther, A., Klingner, C., Mayer, T., Schubert, J., Zanow, J., Scheinert, D., Banning-Eichenseer, U., Bausback, Y., Branzan, D., Braünilch, S., Lenzer, J., Schidt, A., Staab, H., Ulirch, M., Barlinn, J., Haase, K., Abramyuk, A., Bodechtel, U., Gerber, J., Reeps, C., Pfeiffer, T., Torello, G., Cöster, A., Giannoukas, A., Spanos, K., Matsagkas, M., Koutias, S., Vasdekis, S., Kakisis, J., Moulakakis, K., Lazaris, A., Liapas, C., Brountzos, E., Lazarides, M., Ioannou, N., Polydorou, A., Fulop, B., Fako, E., Voros, E., Bodosi, M., Nemeth, T., Barzo, P., Pazdernyik, S., Entz, L., Szeberin, Z., Dosa, E., Nemes, B., Jaranyi, Z., Pazdernyia, S., Madhaban, P., Hoffman, A., Nikolsky, E., Beyar, R., Casana, R., Tolva, V., Silingardi, R., Lauricella, A., Coppi, G., Nicoloci, E., Tusini, N., Strozzi, F., Vecchiati, E., Ferri, M., Ferrero, E., Psacharopulo, D., Gaggiano, A., Viazzo, A., Farchioni, L., Parlani, G., Caso, V., De Rangoy, P., Verzini, F., Castelli, P., DeLodovici, M.L., Carrafiello, G., Ierardi, A.M., Piffaretti, G., Nano, G., Occhiuto, M.T., Malacrida, G., Tealdi, D., Steghter, S., Stella, A., Pini, R., Faggioli, G., Sacca, S., Negri, M.D., Palombo, M., Perfumo, M.C., Fadda, G.F., Kasemi, H., Cernetti, C., Tonello, D., Visonà, A., Mangialardi, N., Ronchey, S., Altavista, M.C., Michelagnoli, S., Chisci, E., Speziale, F., Capoccia, L., Veroux, P., Giaquinta, A., Patti, F., Pulli, R., Boggia, P., Angiletta, D., Amatucci, G., Spinetti, F., Mascoli, F., Tsolaki, E., Civilini, E., Reimers, B., Setacci, C., Pogany, G., Odero, A., Accrocca, F., Bajardi, G., Takashi, I., Masayuki, E., Hidenori, E., Aidashova, B., Kospanov, N., Bakke, S., Skjelland, M., Czlonkowska, A., Kobayashi, A., Proczka, R., Dowzenko, A., Czepel, W., Polanski, J., Bialek, P., Ozkinis, G., Snoch-Ziólkiewicz, M., Gabriel, M., Stanisic, M., Iwanowski, W., Andziak, P., Gonçalves, F.B., Starodubtsev, V., Ignatenko, P., Karpenko, A., Radak, D., Aleksic, N., Sagic, D., Davidovic, L., Koncar, I., Tomic, I., Colic, M., Bartkoy, D., Rusnak, F., Gaspirini, M., Praczek, P., Milosevic, Z., Flis, V., Bergauer, A., Kobilica, N., Miksic, K., Matela, J., Blanco, E., Guerra, M., Riambau, V., Gillgren, P., Skioldebrand, C., Nymen, N., Berg, B., Delle, M., Formgren, J., Kally, T.B., Qvarfordt, P., Plate, G., Pärson, H., Lindgren, H., Bjorses, K., Gottsäter, A., Warvsten, M., Kristmundsson, T., Forssell, C., Malina, M., Holst, J., Kuhme, T., Sonesson, B., Lindblad, B., Kolbel, T., Acosta, S., Bonati, L., Traenka, C., Mueller, M., Lattman, T., Wasner, M., Mujagic, E., Von Hessling, A., Isaak, A., Stierli, P., Eugster, T., Mariani, L., Stippich, C., Wolff, T., Kahles, T., de Borst, G.J., Toorop, R., Moll, F., Lo, R., Meershoek, A., Jahrome, A.K., Vos, A.W.F., Schuiling, W., Keunen, R., Reijnen, M., Macsweeney, S., McConachie, N., Southam, A., Stansby, G., Lees, T., Lambert, D., Clarke, M., Wyatt, M., Kappadath, S., Wales, L., Jackson, R., Raudonaitis, A., MacDonald, S., Dunlop, P., Brown, A., Vetrivel, S., Bajoriene, M., Gopi, R., McCollum, C., Wolowczyk, L., Ghosh, J., Seriki, D., Ashleigh, R., Butterfield, J., Welch, M., Smyth, J.V., Briley, D., Schulz, U., Perkins, J., Hands, L., Kuker, W., Darby, C., Handa, A., Sekaran, L., Poskitt, K., Bulbulia, R., Morrison, J., Guyler, P., Grunwald, I., Brown, J., Jakeways, M., Tysoe, S., Hargroves, D., Gunathilagan, G., Insall, R., Senaratne, J., Beard, J., Cleveland, T., Nawaz, S., Lonsdale, R., Turner, D., Gaines, P., Nair, R., Chetter, I., Robinson, G., Akomolafe, B., Hatfield, J., Saastamoinen, K., Crinnion, J., Egun, A.A., Thomas, J., Drinkwater, S., D'Souza, S., Thomson, G., Gregory, B., Babu, S., Ashley, S., Joseph, T., Gibbs, R., Tebit, G., Mehrzad, A., Enevoldson, P., Mendalow, D., Parry, A., Tervitt, G., Clifton, A., Nazzel, M., Halliday, A., Peto, R., Pan, H., Potter, J., Bullbulia, R., Mihaylova, B., Flather, M., Mansfield, A., Simpson, D., Thomas, D., Gray, W., Farrell, B., Davies, C., Rahimi, K., Gough, M., Cao, P., Rothwell, P., Belli, A., Mafham, M., Herrington, W., Sandercock, P., Gray, R., Shearman, C., Molyneux, A., Gray, A., Clarke, A., Sneade, M., Tully, L., Brudlo, W., Lay, M., Munday, A., Berry, C., Tochlin, S., Cox, J., Kurien, R., Chester, J., de Waard, D.D., Huibers, A., and Bonati, L.H.

Published
2017
Full Text
View/download PDF

7. Editor's Choice – Management of the Diseases of Mesenteric Arteries and Veins: Clinical Practice Guidelines of the European Society of Vascular Surgery (ESVS)

Author

Björck, M., Koelemay, M., Acosta, S., Bastos Goncalves, F., Kölbel, T., Kolkman, J.J., Lees, T., Lefevre, J.H., Menyhei, G., Oderich, G., ESVS Guidelines Committee, Kolh, P., de Borst, G.J., Chakfe, N., Debus, S., Hinchliffe, R., Kakkos, S., Koncar, I., Sanddal Lindholt, J., Vega de Ceniga, M., Vermassen, F., Verzini, F., Document Reviewers, Geelkerken, B., Gloviczki, P., Huber, T., and Naylor, R.

Published
2017
Full Text
View/download PDF

8. Deep learning for hydrological modelling: from benchmarking to concept formation

Author

Lees, T, Dadson, S, and Reece, S

Subjects
Deep learning (Machine learning), environmental modelling, Hydrology
Abstract

Hydrological modelling seeks to address the question: what happens to water once it falls on the land surface? Water can flow into river systems, it can pass through soils into the subsurface, it can be absorbed by the biosphere, or it can be released back into the atmosphere as evaporation. The ultimate purpose of hydrological modelling is twofold, to improve our predictions about the system of interest, and to understand how the system works. In recent decades, advances in science and technology have been made by using techniques from the field of Deep Learning, whereby flexible models are calibrated on large datasets to deduce relationships and make predictions. These techniques have begun to be applied across the environmental sciences. In this thesis I will explore a particular model architecture for deriving relationships between inputs and outputs from data, to provide accurate simulations of hydrological systems as well as to improve our understanding of the hydrological processes themselves. The Long Short-Term Memory (LSTM) is a neural network architecture from the field of Deep Learning which has shown promise for time-series modelling. This model architecture was chosen for its correspondence with our perceptual model of hydrology, whereby we consider the hydrological system to be characterised by a description of its state, and processes that govern the transfer of energy and materials from that state. This input-state-output architecture is similar in many ways to traditional process-based and conceptual models. However, unlike these models the LSTM is capable of searching a much wider range of possible functions that map inputs to outputs, capable of learning any process that can be deduced from the data, as opposed to being limited by the encoding in the traditional models. The chapters that make up this thesis first demonstrate that the LSTM is an appropriate architecture for rainfall-runoff modelling on the island of Great Britain. I trained the model using meteorological and catchment averaged attributes as input, and river discharge as outputs over a large sample of catchments. In comparison with often used conceptual model architectures, I show that the LSTM demonstrates state-of-the-art performance and justify further interrogation of what the model has learned. In a follow up study, I explore what the LSTM has learned about the hydrological system by taking the trained model weights and interpreting them with reference to intermediate stores of water that relate the meteorological inputs to the outputs of discharge. Despite the complexity of translating rainfall to discharge, hydrology is not limited to rainfall-runoff modelling. The final chapter in this thesis turns to the problem of forecasting a satellite-derived vegetation health metric which is used operationally as a proxy for drought conditions. Like rainfall-runoff modelling, the system being simulated is driven by the complex interaction of meteorological and land surface attributes, however, the target variable is now a store of water (vegetation) rather than a flux (discharge). This dissertation provides the hydrological community with three important outcomes. Firstly, the LSTM model results are provided as a benchmark for future work looking to develop a national rainfall runoff model for Great Britain. Secondly, this dissertation demonstrates a method used elsewhere in machine learning research that allows a scientist to diagnose what the LSTM has learned about the hydrological system. Finally, this dissertation demonstrates the utility of the LSTM in a drought monitoring context, forecasting a satellite derived vegetation health metric with the potential to improve the ability of national agencies to respond to drought events. Ultimately, this dissertation offers a demonstration of the power of Deep Learning models in hydrology, and calls on the community to interrogate these tools further to not only advance our predictive goals, but also our scientific ones.

Published
2023

9. Midwifery education in Pacific Island countries: A discussion paper.

Author

Smith, RM, Calvert, B, Kata, E, Hataogo, S, Ioane, TR, Tarabo, M, Kiritome, M, Abraham, J, Lees, T, Devi, C, Ross, L, Mafi, LL, Tuitupou, T, Blackburn, K, Homer, CS, Smith, RM, Calvert, B, Kata, E, Hataogo, S, Ioane, TR, Tarabo, M, Kiritome, M, Abraham, J, Lees, T, Devi, C, Ross, L, Mafi, LL, Tuitupou, T, Blackburn, K, and Homer, CS

Abstract

BACKGROUND: The aim for 95% maternal health care coverage and zero-unmet need for family planning in Pacific Island countries by 2030 could be achieved by strengthening the midwifery workforce. To enable health services to provide accessible, locally acceptable, and high-quality care, the midwifery workforce must be regulated and educated to global standards and supported to practice in enabling environments. In 2019, around 64,000 live births occurred in Pacific Island countries, yet information regarding the state the midwifery workforce and midwifery education is limited. AIM: Using data from recent reports and country case studies, this paper provides an overview of the current midwifery education situation in Pacific Island countries and discusses strategic directions for strengthening quality midwifery education and therefore quality midwifery care provision in Pacific Island countries. DISCUSSION: Six Pacific Island countries have midwifery curricula, all post-nursing programs, although few offer midwifery education programs on a regular annual basis. Current programs do not meet ICM Global Standards for Midwifery Education. Critical areas for strengthening include making underpinning philosophical frameworks, the vision for midwifery education, and program intended learning outcomes explicit in curricula documents and ensuring integration of these in program implementation. Fortunately, five of six midwifery education programs are under processes of renewal and strengthening against global, regional, and national standards. CONCLUSION: Strengthening the midwifery workforce in the Pacific to meet maternal and newborn health targets can be achieved through supporting the existing midwifery education programs to meet global standards. Strengthened midwifery education programs in Pacific Island countries offer an opportunity to meet each country's maternal and newborn health targets.

Published
2023

10. Psychophysiology of Monotonous Driving, Fatigue and Sleepiness in Train and Non-Professional Drivers: Driver Safety Implications.

Author

Lees, T, Chalmers, T, Burton, D, Zilberg, E, Penzel, T, Lal, S, Lees, T, Chalmers, T, Burton, D, Zilberg, E, Penzel, T, and Lal, S

Abstract

Fatigue and sleepiness are complex bodily states associated with monotony as well as physical and cognitive impairment, accidents, injury, and illness. Moreover, these states are often characteristic of professional driving. However, most existing work has focused on motor vehicle drivers, and research examining train drivers remains limited. As such, the present study psychophysiologically examined monotonous driving, fatigue, and sleepiness in a group of passenger train drivers and a group of non-professional drivers. Sixty-three train drivers and thirty non-professional drivers participated in the present study, which captured 32-lead electroencephalogram (EEG) data during a monotonous driving task. Fatigue and sleepiness were self-evaluated using the Pittsburgh Sleep Quality Index, the Epworth Sleepiness Scale, the Karolinksa Sleepiness Scale, and the Checklist of Individual Strength. Unexpectedly, fatigue and sleepiness scores did not significantly differ between the groups; however, train drivers generally scored lower than non-professional drivers, which may be indicative of individual and/or industry attempts to reduce fatigue. Across both groups, fatigue and sleepiness scores were negatively correlated with theta, alpha, and beta EEG variables clustered towards the fronto-central and temporal regions. Broadly, these associations may reflect a monotony-associated blunting of neural activity that is associated with a self-reported fatigue state.

Published
2023

13. The relationship between neurocognitive performance and HRV parameters in nurses and non-healthcare participants.

Author

Chalmers, T, Eaves, S, Lees, T, Lin, C-T, Newton, PJ, Clifton-Bligh, R, McLachlan, CS, Gustin, SM, Lal, S, Chalmers, T, Eaves, S, Lees, T, Lin, C-T, Newton, PJ, Clifton-Bligh, R, McLachlan, CS, Gustin, SM, and Lal, S

Abstract

Nurses represent the largest sector of the healthcare workforce, and it is established that they are faced with ongoing physical and mental demands that leave many continuously stressed. In turn, this chronic stress may affect cardiac autonomic activity, which can be non-invasively evaluated using heart rate variability (HRV). The association between neurocognitive parameters during acute stress situations and HRV has not been previously explored in nurses compared to non-nurses and such, our study aimed to assess these differences. Neurocognitive data were obtained using the Mini-Mental State Examination and Cognistat psychometric questionnaires. ECG-derived HRV parameters were acquired during the Trier Social Stress Test. Between-group differences were found in domain-specific cognitive performance for the similarities (p = .03), and judgment (p = .002) domains and in the following HRV parameters: SDNNbaseline, (p = .004), LFpreparation (p = .002), SDNNpreparation (p = .002), HFpreparation (p = .02), and TPpreparation (p = .003). Negative correlations were found between HF power and domain-specific cognitive performance in nurses. In contrast, both negative and positive correlations were found between HRV and domain-specific cognitive performance in the non-nurse group. The current findings highlight the prospective use of autonomic HRV markers in relation to cognitive performance while building a relationship between autonomic dysfunction and cognition.

Published
2022

14. Hydrological concept formation inside long short-term memory (LSTM) networks

Author

Lees, T., Reece, S., Kratzert, F., Klotz, D., Gauch, M., De Bruijn, J., Sahu, R.K., Greve, P., Slater, L., Dadson, S.J., Lees, T., Reece, S., Kratzert, F., Klotz, D., Gauch, M., De Bruijn, J., Sahu, R.K., Greve, P., Slater, L., and Dadson, S.J.

Abstract

Neural networks have been shown to be extremely effective rainfall-runoff models, where the river discharge is predicted from meteorological inputs. However, the question remains: what have these models learned? Is it possible to extract information about the learned relationships that map inputs to outputs, and do these mappings represent known hydrological concepts? Small-scale experiments have demonstrated that the internal states of long short-term memory networks (LSTMs), a particular neural network architecture predisposed to hydrological modelling, can be interpreted. By extracting the tensors which represent the learned translation from inputs (precipitation, temperature, and potential evapotranspiration) to outputs (discharge), this research seeks to understand what information the LSTM captures about the hydrological system. We assess the hypothesis that the LSTM replicates real-world processes and that we can extract information about these processes from the internal states of the LSTM. We examine the cell-state vector, which represents the memory of the LSTM, and explore the ways in which the LSTM learns to reproduce stores of water, such as soil moisture and snow cover. We use a simple regression approach to map the LSTM state vector to our target stores (soil moisture and snow). Good correlations (R2>0.8) between the probe outputs and the target variables of interest provide evidence that the LSTM contains information that reflects known hydrological processes comparable with the concept of variable-capacity soil moisture stores. The implications of this study are threefold: (1) LSTMs reproduce known hydrological processes. (2) While conceptual models have theoretical assumptions embedded in the model a priori, the LSTM derives these from the data. These learned representations are interpretable by scientists. (3) LSTMs can be used to gain an estimate of intermediate stores of water such as soil moisture. While machine learning interpretability is sti

Published
2022
Full Text
View/download PDF

22. Impact of acute stress on cortical electrical activity and cardiac autonomic coupling

Author

Chalmers, T, Maharaj, S, Lees, T, Lin, CT, Newton, P, Clifton-Bligh, R, McLachlan, CS, Gustin, SM, and Lal, S

Subjects
FOS: Psychology, 09 Engineering, 11 Medical and Health Sciences, 17 Psychology and Cognitive Sciences, Neurology & Neurosurgery, 170299 Cognitive Science not elsewhere classified
Abstract

Assessment of heart rate variability (reflective of the cardiac autonomic nervous system) has shown some predictive power for stress. Further, the predictive power of the distinct patterns of cortical brain activity and - cardiac autonomic interactions are yet to be explored in the context of acute stress, as assessed by an electrocardiogram and electroencephalogram. The present study identified distinct patterns of neural-cardiac autonomic coupling during both resting and acute stress states. In particular, during the stress task, frontal delta waves activity was positively associated with low-frequency heart rate variability and negatively associated with high-frequency heart rate variability. Low high-frequency power is associated with stress and anxiety and reduced vagal control. A positive association between resting high-frequency heart rate variability and frontocentral gamma activity was found, with a direct inverse relationship of low-frequency heart rate variability and gamma wave coupling at rest. During the stress task, low-frequency heart rate variability was positively associated with frontal delta activity. That is, the parasympathetic nervous system is reduced during a stress task, whereas frontal delta wave activity is increased. Our findings suggest an association between cardiac parasympathetic nervous system activity and frontocentral gamma and delta activity at rest and during acute stress. This suggests that parasympathetic activity is decreased during acute stress, and this is coupled with neuronal cortical prefrontal activity. The distinct patterns of neural-cardiac coupling identified in this study provide a unique insight into the dynamic associations between brain and heart function during both resting and acute stress states.

Published
2021
Full Text
View/download PDF

23. Heart Rate Variability as a Potential Non-invasive Marker of Blood Glucose Level

Author

Jarman, LR, Elliott, JL, Lees, T, Clifton-Bligh, R, Simpson, AM, Nassif, N, Lal, S, Jarman, LR, Elliott, JL, Lees, T, Clifton-Bligh, R, Simpson, AM, Nassif, N, and Lal, S

Abstract

Currently, monitoring of blood glucose level (BGL) is constrained by the invasive nature of BGL measures. We investigated heart rate variability (HRV) parameters as potential non-invasive markers of BGL. Healthy volunteers (n = 25; aged 27 ± 9 years) uninhibited by regular medications or chronic illness were recruited for this study. BGL and HRV were assessed during fasting (9:00 am), postprandial (12:00 pm), and postabsorptive (3:00 pm) periods using self-monitoring of blood glucose techniques and ten-minute electrocardiogram, respectively. Frequency-domain HRV measures, which estimate contributions of sympathetic and parasympathetic systems to autonomic modulation of the heart, were correlated against BGL data with the following significant (p < 0.05) findings. The change in BGL from fasting to postprandial levels was negatively correlated with fasting low frequency (LF) power and total power (TP). Postprandial BGL was negatively associated with fasting LF and TP, as well as with postprandial LF, high frequency (HF), and TP. The change in BGL from postprandial to postabsorptive levels was positively correlated with fasting LF power, as well as with postprandial LF, HF, and TP. Frequency-domain HRV parameters may be useful in predicting the magnitude and direction of acute fluctuations in BGL, and further research could develop them as non-invasive markers of BGL.

Published
2021

24. Second asymptomatic carotid surgery trial (ACST-2): a randomised comparison of carotid artery stenting versus carotid endarterectomy

Author

Halliday, A., Bulbulia, R., Bonati, L. H., Chester, J., Cradduck-Bamford, A., Peto, R., Pan, H., Potter, J., Henning Eckstein, H., Farrell, B., Flather, M., Mansfield, A., Mihaylova, B., Rahimi, K., Simpson, D., Thomas, D., Sandercock, P., Gray, R., Molyneux, A., Shearman, C. P., Rothwell, P., Belli, A., Herrington, W., Judge, P., Leopold, P., Mafham, M., Gough, M., Cao, P., Macdonald, S., Bari, V., Berry, C., Bradshaw, S., Brudlo, W., Clarke, A., Cox, R., Fathers, S., Gaba, K., Gray, M., Hayter, E., Holliday, C., Kurien, R., Lay, M., le Conte, S., Mcmanus, J., Madgwick, Z., Morris, D., Munday, A., Pickworth, S., Ostasz, W., Poorthuis, M., Richards, S., Teixeira, L., Tochlin, S., Tully, L., Wallis, C., Willet, M., Young, A., Casana, R., Malloggi, C., Odero, A., Silani, V., Parati, G., Malchiodi, G., Malferrari, G., Strozzi, F., Tusini, N., Vecchiati, E., Coppi, G., Lauricella, A., Moratto, R., Silingardi, R., Veronesi, J., Zini, A., Ferrero, E., Ferri, M., Gaggiano, A., Labate, C., Nessi, F., Psacharopulo, D., Viazzo, A., Malacrida, G., Mazzaccaro, D., Meola, G., Modafferi, A., Nano, G., Occhiuto, M. T., Righini, P., Stegher, S., Chiarandini, S., Griselli, F., Lepidi, S., Pozzi Mucelli, F., Naccarato, M., D'Oria, M., Ziani, B., Stella, A., Dieng, M., Faggioli, G., Gargiulo, M., Palermo, S., Pini, R., Puddu, G. M., Vacirca, A., Angiletta, D., Desantis, C., Marinazzo, D., Mastrangelo, G., Regina, G., Pulli, R., Bianchi, P., Cireni, L., Coppi, E., Pizzirusso, R., Scalise, F., Sorropago, G., Tolva, V., Caso, V., Cieri, E., Derango, P., Farchioni, L., Isernia, G., Lenti, M., Parlani, G. B., Pupo, G., Pula, G., Simonte, G., Verzini, F., Carimati, F., Delodovici, M. L., Fontana, F., Piffaretti, G., Tozzi, M., Civilini, E., Poletto, G., Reimers, B., Praquin, B., Ronchey, S., Capoccia, L., Mansour, W., Sbarigia, E., Speziale, F., Sirignano, P., Toni, D., Galeotti, R., Gasbarro, V., Mascoli, F., Rocca, T., Tsolaki, E., Bernardini, G., Demarco, E., Giaquinta, A., Patti, F., Veroux, M., Veroux, P., Virgilio, C., Mangialardi, N., Orrico, M., Di Lazzaro, V., Montelione, N., Spinelli, F., Stilo, F., Cernetti, C., Irsara, S., Maccarrone, G., Tonello, D., Visona, A., Zalunardo, B., Chisci, E., Michelagnoli, S., Troisi, N., Masato, M., Dei Negri, M., Pacchioni, A., Sacca, S., Amatucci, G., Cannizzaro, A., Accrocca, F., Ambrogi, C., Barbazza, R., Marcucci, G., Siani, A., Bajardi, G., Savettieri, G., Argentieri, A., Corbetta, R., Quaretti, P., Thyrion, F. Z., Cappelli, A., Benevento, D., De Donato, G., Mele, M. A., Palasciano, G., Pieragalli, D., Rossi, A., Setacci, C., Setacci, F., Palombo, D., Perfumo, M. C., Martelli, E., Paolucci, A., Trimarchi, S., Grassi, V., Grimaldi, L., La Rosa, G., Mirabella, D., Scialabba, M., Sichel, L., D'Angelo, C. L., Fadda, G. F., Kasemi, H., Marino, M., Burzotta, Francesco, Codispoti, F. A., Ferrante, A., Tinelli, Giovanni, Tshomba, Yamume, Vincenzoni, Claudio, Amis, D., Anderson, D., Catterson, M., Clarke, M., Davis, M., Dixit, A., Dyker, A., Ford, G., Jackson, R., Kappadath, S., Lambert, D., Lees, T., Louw, S., Mccaslin, J., Parr, N., Robson, R., Stansby, G., Wales, L., Wealleans, V., Wilson, L., Wyatt, M., Baht, H., Balogun, I., Burger, I., Cosier, T., Cowie, L., Gunathilagan, G., Hargroves, D., Insall, R., Jones, S., Rudenko, H., Schumacher, N., Senaratne, J., Thomas, G., Thomson, A., Webb, T., Brown, E., Esisi, B., Mehrzad, A., Macsweeney, S., Mcconachie, N., Southam, A., Sunman, W., Abdul-Hamiq, A., Bryce, J., Chetter, I., Ettles, D., Lakshminarayan, R., Mitchelson, K., Rhymes, C., Robinson, G., Scott, P., Vickers, A., Ashleigh, R., Butterfield, S., Gamble, E., Ghosh, J., Mccollum, C. N., Welch, M., Welsh, S., Wolowczyk, L., Donnelly, M., D'Souza, S., Egun, A. A., Gregary, B., Joseph, T., Kelly, C., Punekar, S., Rahi, M. A., Raj, S., Seriki, D., Thomson, G., Brown, J., Durairajan, R., Grunwald, I., Guyler, P., Harman, P., Jakeways, M., Khuoge, C., Kundu, A., Loganathan, T., Menon, N., Prabakaran, R. O., Sinha, D., Thompson, V., Tysoe, S., Briley, D., Darby, C., Hands, L., Howard, D., Kuker, W., Schulz, U., Teal, R., Barer, D., Brown, A., Crawford, S., Dunlop, P., Krishnamurthy, R., Majmudar, N., Mitchell, D., Myint, M. P., O'Brien, R., O'Connell, J., Sattar, N., Vetrivel, S., Beard, J., Cleveland, T., Gaines, P., Humphreys, J., Jenkins, A., King, C., Kusuma, D., Lindert, R., Lonsdale, R., Nair, R., Nawaz, S., Okhuoya, F., Turner, D., Venables, G., Dorman, P., Hughes, A., Jones, D., Mendelow, D., Rodgers, H., Raudoniitis, A., Enevoldson, P., Nahser, H., O'Brien, I., Torella, F., Watling, D., White, R., Brown, P., Dutta, D., Emerson, L., Hilltout, P., Kulkarni, S., Morrison, J., Poskitt, K., Slim, F., Smith, S., Tyler, A., Waldron, J., Whyman, M., Bajoriene, M., Baker, L., Colston, A., Eliot-Jones, B., Gramizadeh, G., Lewis-Clarke, C., Mccafferty, L., Oliver, D., Palmer, D., Patil, A., Pegler, S., Ramadurai, G., Roberts, A., Sargent, T., Siddegowda, S., Singh-Ranger, R., Williams, A., Williams, L., Windebank, S., Zuromskis, T., Alwis, L., Angus, J., Asokanathan, A., Fornolles, C., Hardy, D., Hunte, S., Justin, F., Phiri, D., Mitabouana-Kibou, M., Sekaran, L., Sethuraman, S., Tate, M. L., Akyea-Mensah, J., Ball, S., Chrisopoulou, A., Keene, E., Phair, A., Rogers, S., Smyth, J. V., Bicknell, C., Chataway, J., Cheshire, N., Clifton, A., Eley, C., Gibbs, R., Hamady, M., Hazel, B., James, A., Jenkins, M., Khanom, N., Lacey, A., Mireskandari, M., O'Reilly, J., Pereira, A., Sachs, T., Wolfe, J., Davey, P., Rogers, G., Smith, G., Tervit, G., Nichol, I., Parry, A., Young, G., Ashley, S., Barwell, J., Dix, F., Nor, A. M., Parry, C., Birt, A., Davies, P., George, J., Graham, A., Jonker, L., Kelsall, N., Potts, C., Wilson, T., Crinnion, J., Cuenoud, L., Aleksic, N., Babic, S., Ilijevski, N., Radak, Sagic, D., Tanaskovic, S., Colic, M., Cvetic, V., Davidovic, L., Jovanovic, D. R., Koncar, I., Mutavdzic, P., Sladojevic, M., Tomic, I., Debus, E. S., Grzyska, U., Otto, D., Thomalla, G., Barlinn, J., Gerber, J., Haase, K., Hartmann, C., Ludwig, S., Putz, V., Reeps, C., Schmidt, C., Weiss, N., Werth, S., Winzer, S., Gemper, J., Gunther, A., Heiling, B., Jochmann, E., Karvouniari, P., Klingner, C., Mayer, T., Schubert, J., Schulze-Hartung, F., Zanow, J., Bausback, Y., Borger, F., Botsios, S., Branzan, D., Braunlich, S., Holzer, H., Lenzer, J., Piorkowski, C., Richter, N., Schuster, J., Scheinert, D., Schmidt, A., Staab, H., Ulrich, M., Werner, M., Berger, H., Biro, G., Eckstein, H. -H., Kallmayer, M., Kreiser, K., Zimmermann, A., Berekoven, B., Frerker, K., Gordon, V., Torsello, G., Arnold, S., Dienel, C., Storck, M., Biermaier, B., Gissler, H. M., Klotzsch, C., Pfeiffer, T., Schneider, R., Sohl, L., Wennrich, M., Alonso, A., Keese, M., Groden, C., Coster, A., Engelhardt, A., Ratusinski, C. -M., Berg, B., Delle, M., Formgren, J., Gillgren, P., Jarl, L., Kall, T. B., Konrad, P., Nyman, N., Skioldebrand, C., Steuer, J., Takolander, R., Malmstedt, J., Acosta, S., Bjorses, K., Brandt, K., Dias, N., Gottsater, A., Holst, J., Kristmundsson, T., Kuhme, T., Kolbel, T., Lindblad, B., Lindh, M., Malina, M., Ohrlander, T., Resch, T., Ronnle, V., Sonesson, B., Warvsten, M., Zdanowski, Z., Campbell, E., Kjellin, P., Lindgren, H., Nyberg, J., Petersen, B., Plate, G., Parsson, H., Qvarfordt, P., Ignatenko, P., Karpenko, A., Starodubtsev, V., Chernyavsky, M. A., Golovkova, M. S., Komakha, B. B., Zherdev, N. N., Belyasnik, A., Chechulov, P., Kandyba, D., Stepanishchev, I., Csobay-Novak, C., Dosa, E., Entz, L., Nemes, B., Szeberin, Z., Barzo, P., Bodosi, M., Fako, E., Fulop, B., Nemeth, T., Pazdernyik, S., Skoba, K., Voros, E., Chatzinikou, E., Giannoukas, A., Karathanos, C., Koutsias, S., Kouvelos, G., Matsagkas, M., Ralli, S., Rountas, C., Rousas, N., Spanos, K., Brountzos, E., Kakisis, J. D., Lazaris, A., Moulakakis, K. G., Stefanis, L., Tsivgoulis, G., Vasdekis, S., Antonopoulos, C. N., Bellenis, I., Maras, D., Polydorou, A., Polydorou, V., Tavernarakis, A., Ioannou, N., Terzoudi, M., Lazarides, M., Mantatzis, M., Vadikolias, K., Dzieciuchowicz, L., Gabriel, M., Krasinski, Z., Oszkinis, G., Pukacki, F., Slowinski, M., Stanisic, M. -G., Staniszewski, R., Tomczak, J., Zielinski, M., Myrcha, P., Rozanski, D., Drelichowski, S., Iwanowski, W., Koncewicz, K., Bialek, P., Biejat, Z., Czepel, W., Czlonkowska, A., Dowzenko, A., Jedrzejewska, J., Kobayashi, A., Leszczynski, J., Malek, A., Polanski, J., Proczka, R., Skorski, M., Szostek, M., Andziak, P., Dratwicki, M., Gil, R., Nowicki, M., Pniewski, J., Rzezak, J., Seweryniak, P., Dabek, P., Juszynski, M., Madycki, G., Pacewski, B., Raciborski, W., Slowinski, P., Staszkiewicz, W., Bombic, M., Chlouba, V., Fiedler, J., Hes, K., Kostal, P., Sova, J., Kriz, Z., Privara, M., Reif, M., Staffa, R., Vlachovsky, R., Vojtisek, B., Hrbac, T., Kuliha, M., Prochazka, V., Roubec, M., Skoloudik, D., Netuka, D., Steklacova, A., Benes III, V., Buchvald, P., Endrych, L., Sercl, M., Campos, W., Casella, I. B., de Luccia, N., Estenssoro, A. E. V., Presti, C., Puech-Leao, P., Neves, C. R. B., da Silva, E. S., Sitrangulo, C. J., Monteiro, J. A. T., Tinone, G., Bellini Dalio, M., Joviliano, E. E., Pontes Neto, O. M., Serra Ribeiro, M., Cras, P., Hendriks, J. M. H., Hoppenbrouwers, M., Lauwers, P., Loos, C., Yperzeele, L., Geenens, M., Hemelsoet, D., van Herzeele, I., Vermassen, F., Astarci, P., Hammer, F., Lacroix, V., Peeters, A., Verhelst, R., Cirelli, S., Dormal, P., Grimonprez, A., Lambrecht, B., Lerut, P., Thues, E., De Koster, G., Desiron, Q., Maertens de Noordhout, A., Malmendier, D., Massoz, M., Saad, G., Bosiers, M., Callaert, J., Deloose, K., Blanco Canibano, E., Garcia Fresnillo, B., Guerra Requena, M., Morata Barrado, P. C., Muela Mendez, M., Yusta Izquierdo, A., Aparici Robles, F., Blanes Orti, P., Garcia Dominguez, L., Martinez Lopez, R., Miralles Hernandez, M., Tembl Ferrairo, J. I., Chamorro, A., Macho, J., Obach, V., Riambau, V., San Roman, L., Ahlhelm, F. J., Blackham, K., Engelter, S., Eugster, T., Gensicke, H., Gurke, L., Lyrer, P., Mariani, L., Maurer, M., Mujagic, E., Muller, M., Psychogios, M., Stierli, P., Stippich, C., Traenka, C., Wolff, T., Wagner, B., Wiegert, M. M., Clarke, S., Diepers, M., Grochenig, E., Gruber, P., Isaak, A., Kahles, T., Marti, R., Nedeltchev, K., Remonda, L., Tissira, N., Valenca Falcao, M., de Borst, G. J., Lo, R. H., Moll, F. L., Toorop, R., van der Worp, B. H., Vonken, E. J., Kappelle, J. L., Jahrome, O., Vos, F., Schuiling, W., van Overhagen, H., Keunen, R. W. M., Knippenberg, B., Wever, J. J., Lardenoije, J. W., Reijnen, M., Smeets, L., van Sterkenburg, S., Fraedrich, G., Gizewski, E., Gruber, I., Knoflach, M., Kiechl, S., Rantner, B., Abdulamit, T., Bergeron, P., Padovani, R., Trastour, J. -C., Cardon, J. -M., Le Gallou-Wittenberg, A., Allaire, E., Becquemin, J. -P., Cochennec-Paliwoda, F., Desgranges, P., Hosseini, H., Kobeiter, H., Marzelle, J., Almekhlafi, M. A., Bal, S., Barber, P. A., Coutts, S. B., Demchuk, A. M., Eesa, M., Gillies, M., Goyal, M., Hill, M. D., Hudon, M. E., Jambula, A., Kenney, C., Klein, G., Mcclelland, M., Mitha, A., Menon, B. K., Morrish, W. F., Peters, S., Ryckborst, K. J., Samis, G., Save, S., Smith, E. E., Stys, P., Subramaniam, S., Sutherland, G. R., Watson, T., Wong, J. H., Zimmel, L., Flis, V., Matela, J., Miksic, K., Milotic, F., Mrdja, B., Stirn, B., Tetickovic, E., Gasparini, M., Grad, A., Kompara, I., Milosevic, Z., Palmiste, V., Toomsoo, T., Aidashova, B., Kospanov, N., Lyssenko, R., Mussagaliev, D., Beyar, R., Hoffman, A., Karram, T., Kerner, A., Nikolsky, E., Nitecki, S., Andonova, S., Bachvarov, C., Petrov, V., Cvjetko, I., Vidjak, V., Haluzan, D., Petrunic, M., Liu, B., Liu, C. -W., Bartko, D., Beno, P., Rusnak, F., Zelenak, K., Ezura, M., Inoue, T., Kimura, N., Kondo, R., Matsumoto, Y., Shimizu, H., Endo, H., Furui, E., Bakke, S., Krohg-Sorensen, K., Nome, T., Skjelland, M., Tennoe, B., Albuquerque e Castro, J., Alves, G., Bastos Goncalves, F., de Aragao Morais, J., Garcia, A. C., Valentim, H., Vasconcelos, L., Belcastro, F., Cura, F., Zaefferer, P., Abd-Allah, F., Eldessoki, M. H., Heshmat Kassem, H., Soliman Gharieb, H., Colgan, M. P., Haider, S. N., Harbison, J., Madhavan, P., Moore, D., Shanik, G., Kazan, V., Nazzal, M., Ramsey-Williams, V., Burzotta F. (ORCID:0000-0002-6569-9401), Tinelli G. (ORCID:0000-0002-2212-3226), Tshomba Y. (ORCID:0000-0001-7304-7553), Vincenzoni C., Halliday, A., Bulbulia, R., Bonati, L. H., Chester, J., Cradduck-Bamford, A., Peto, R., Pan, H., Potter, J., Henning Eckstein, H., Farrell, B., Flather, M., Mansfield, A., Mihaylova, B., Rahimi, K., Simpson, D., Thomas, D., Sandercock, P., Gray, R., Molyneux, A., Shearman, C. P., Rothwell, P., Belli, A., Herrington, W., Judge, P., Leopold, P., Mafham, M., Gough, M., Cao, P., Macdonald, S., Bari, V., Berry, C., Bradshaw, S., Brudlo, W., Clarke, A., Cox, R., Fathers, S., Gaba, K., Gray, M., Hayter, E., Holliday, C., Kurien, R., Lay, M., le Conte, S., Mcmanus, J., Madgwick, Z., Morris, D., Munday, A., Pickworth, S., Ostasz, W., Poorthuis, M., Richards, S., Teixeira, L., Tochlin, S., Tully, L., Wallis, C., Willet, M., Young, A., Casana, R., Malloggi, C., Odero, A., Silani, V., Parati, G., Malchiodi, G., Malferrari, G., Strozzi, F., Tusini, N., Vecchiati, E., Coppi, G., Lauricella, A., Moratto, R., Silingardi, R., Veronesi, J., Zini, A., Ferrero, E., Ferri, M., Gaggiano, A., Labate, C., Nessi, F., Psacharopulo, D., Viazzo, A., Malacrida, G., Mazzaccaro, D., Meola, G., Modafferi, A., Nano, G., Occhiuto, M. T., Righini, P., Stegher, S., Chiarandini, S., Griselli, F., Lepidi, S., Pozzi Mucelli, F., Naccarato, M., D'Oria, M., Ziani, B., Stella, A., Dieng, M., Faggioli, G., Gargiulo, M., Palermo, S., Pini, R., Puddu, G. M., Vacirca, A., Angiletta, D., Desantis, C., Marinazzo, D., Mastrangelo, G., Regina, G., Pulli, R., Bianchi, P., Cireni, L., Coppi, E., Pizzirusso, R., Scalise, F., Sorropago, G., Tolva, V., Caso, V., Cieri, E., Derango, P., Farchioni, L., Isernia, G., Lenti, M., Parlani, G. B., Pupo, G., Pula, G., Simonte, G., Verzini, F., Carimati, F., Delodovici, M. L., Fontana, F., Piffaretti, G., Tozzi, M., Civilini, E., Poletto, G., Reimers, B., Praquin, B., Ronchey, S., Capoccia, L., Mansour, W., Sbarigia, E., Speziale, F., Sirignano, P., Toni, D., Galeotti, R., Gasbarro, V., Mascoli, F., Rocca, T., Tsolaki, E., Bernardini, G., Demarco, E., Giaquinta, A., Patti, F., Veroux, M., Veroux, P., Virgilio, C., Mangialardi, N., Orrico, M., Di Lazzaro, V., Montelione, N., Spinelli, F., Stilo, F., Cernetti, C., Irsara, S., Maccarrone, G., Tonello, D., Visona, A., Zalunardo, B., Chisci, E., Michelagnoli, S., Troisi, N., Masato, M., Dei Negri, M., Pacchioni, A., Sacca, S., Amatucci, G., Cannizzaro, A., Accrocca, F., Ambrogi, C., Barbazza, R., Marcucci, G., Siani, A., Bajardi, G., Savettieri, G., Argentieri, A., Corbetta, R., Quaretti, P., Thyrion, F. Z., Cappelli, A., Benevento, D., De Donato, G., Mele, M. A., Palasciano, G., Pieragalli, D., Rossi, A., Setacci, C., Setacci, F., Palombo, D., Perfumo, M. C., Martelli, E., Paolucci, A., Trimarchi, S., Grassi, V., Grimaldi, L., La Rosa, G., Mirabella, D., Scialabba, M., Sichel, L., D'Angelo, C. L., Fadda, G. F., Kasemi, H., Marino, M., Burzotta, Francesco, Codispoti, F. A., Ferrante, A., Tinelli, Giovanni, Tshomba, Yamume, Vincenzoni, Claudio, Amis, D., Anderson, D., Catterson, M., Clarke, M., Davis, M., Dixit, A., Dyker, A., Ford, G., Jackson, R., Kappadath, S., Lambert, D., Lees, T., Louw, S., Mccaslin, J., Parr, N., Robson, R., Stansby, G., Wales, L., Wealleans, V., Wilson, L., Wyatt, M., Baht, H., Balogun, I., Burger, I., Cosier, T., Cowie, L., Gunathilagan, G., Hargroves, D., Insall, R., Jones, S., Rudenko, H., Schumacher, N., Senaratne, J., Thomas, G., Thomson, A., Webb, T., Brown, E., Esisi, B., Mehrzad, A., Macsweeney, S., Mcconachie, N., Southam, A., Sunman, W., Abdul-Hamiq, A., Bryce, J., Chetter, I., Ettles, D., Lakshminarayan, R., Mitchelson, K., Rhymes, C., Robinson, G., Scott, P., Vickers, A., Ashleigh, R., Butterfield, S., Gamble, E., Ghosh, J., Mccollum, C. N., Welch, M., Welsh, S., Wolowczyk, L., Donnelly, M., D'Souza, S., Egun, A. A., Gregary, B., Joseph, T., Kelly, C., Punekar, S., Rahi, M. A., Raj, S., Seriki, D., Thomson, G., Brown, J., Durairajan, R., Grunwald, I., Guyler, P., Harman, P., Jakeways, M., Khuoge, C., Kundu, A., Loganathan, T., Menon, N., Prabakaran, R. O., Sinha, D., Thompson, V., Tysoe, S., Briley, D., Darby, C., Hands, L., Howard, D., Kuker, W., Schulz, U., Teal, R., Barer, D., Brown, A., Crawford, S., Dunlop, P., Krishnamurthy, R., Majmudar, N., Mitchell, D., Myint, M. P., O'Brien, R., O'Connell, J., Sattar, N., Vetrivel, S., Beard, J., Cleveland, T., Gaines, P., Humphreys, J., Jenkins, A., King, C., Kusuma, D., Lindert, R., Lonsdale, R., Nair, R., Nawaz, S., Okhuoya, F., Turner, D., Venables, G., Dorman, P., Hughes, A., Jones, D., Mendelow, D., Rodgers, H., Raudoniitis, A., Enevoldson, P., Nahser, H., O'Brien, I., Torella, F., Watling, D., White, R., Brown, P., Dutta, D., Emerson, L., Hilltout, P., Kulkarni, S., Morrison, J., Poskitt, K., Slim, F., Smith, S., Tyler, A., Waldron, J., Whyman, M., Bajoriene, M., Baker, L., Colston, A., Eliot-Jones, B., Gramizadeh, G., Lewis-Clarke, C., Mccafferty, L., Oliver, D., Palmer, D., Patil, A., Pegler, S., Ramadurai, G., Roberts, A., Sargent, T., Siddegowda, S., Singh-Ranger, R., Williams, A., Williams, L., Windebank, S., Zuromskis, T., Alwis, L., Angus, J., Asokanathan, A., Fornolles, C., Hardy, D., Hunte, S., Justin, F., Phiri, D., Mitabouana-Kibou, M., Sekaran, L., Sethuraman, S., Tate, M. L., Akyea-Mensah, J., Ball, S., Chrisopoulou, A., Keene, E., Phair, A., Rogers, S., Smyth, J. V., Bicknell, C., Chataway, J., Cheshire, N., Clifton, A., Eley, C., Gibbs, R., Hamady, M., Hazel, B., James, A., Jenkins, M., Khanom, N., Lacey, A., Mireskandari, M., O'Reilly, J., Pereira, A., Sachs, T., Wolfe, J., Davey, P., Rogers, G., Smith, G., Tervit, G., Nichol, I., Parry, A., Young, G., Ashley, S., Barwell, J., Dix, F., Nor, A. M., Parry, C., Birt, A., Davies, P., George, J., Graham, A., Jonker, L., Kelsall, N., Potts, C., Wilson, T., Crinnion, J., Cuenoud, L., Aleksic, N., Babic, S., Ilijevski, N., Radak, Sagic, D., Tanaskovic, S., Colic, M., Cvetic, V., Davidovic, L., Jovanovic, D. R., Koncar, I., Mutavdzic, P., Sladojevic, M., Tomic, I., Debus, E. S., Grzyska, U., Otto, D., Thomalla, G., Barlinn, J., Gerber, J., Haase, K., Hartmann, C., Ludwig, S., Putz, V., Reeps, C., Schmidt, C., Weiss, N., Werth, S., Winzer, S., Gemper, J., Gunther, A., Heiling, B., Jochmann, E., Karvouniari, P., Klingner, C., Mayer, T., Schubert, J., Schulze-Hartung, F., Zanow, J., Bausback, Y., Borger, F., Botsios, S., Branzan, D., Braunlich, S., Holzer, H., Lenzer, J., Piorkowski, C., Richter, N., Schuster, J., Scheinert, D., Schmidt, A., Staab, H., Ulrich, M., Werner, M., Berger, H., Biro, G., Eckstein, H. -H., Kallmayer, M., Kreiser, K., Zimmermann, A., Berekoven, B., Frerker, K., Gordon, V., Torsello, G., Arnold, S., Dienel, C., Storck, M., Biermaier, B., Gissler, H. M., Klotzsch, C., Pfeiffer, T., Schneider, R., Sohl, L., Wennrich, M., Alonso, A., Keese, M., Groden, C., Coster, A., Engelhardt, A., Ratusinski, C. -M., Berg, B., Delle, M., Formgren, J., Gillgren, P., Jarl, L., Kall, T. B., Konrad, P., Nyman, N., Skioldebrand, C., Steuer, J., Takolander, R., Malmstedt, J., Acosta, S., Bjorses, K., Brandt, K., Dias, N., Gottsater, A., Holst, J., Kristmundsson, T., Kuhme, T., Kolbel, T., Lindblad, B., Lindh, M., Malina, M., Ohrlander, T., Resch, T., Ronnle, V., Sonesson, B., Warvsten, M., Zdanowski, Z., Campbell, E., Kjellin, P., Lindgren, H., Nyberg, J., Petersen, B., Plate, G., Parsson, H., Qvarfordt, P., Ignatenko, P., Karpenko, A., Starodubtsev, V., Chernyavsky, M. A., Golovkova, M. S., Komakha, B. B., Zherdev, N. N., Belyasnik, A., Chechulov, P., Kandyba, D., Stepanishchev, I., Csobay-Novak, C., Dosa, E., Entz, L., Nemes, B., Szeberin, Z., Barzo, P., Bodosi, M., Fako, E., Fulop, B., Nemeth, T., Pazdernyik, S., Skoba, K., Voros, E., Chatzinikou, E., Giannoukas, A., Karathanos, C., Koutsias, S., Kouvelos, G., Matsagkas, M., Ralli, S., Rountas, C., Rousas, N., Spanos, K., Brountzos, E., Kakisis, J. D., Lazaris, A., Moulakakis, K. G., Stefanis, L., Tsivgoulis, G., Vasdekis, S., Antonopoulos, C. N., Bellenis, I., Maras, D., Polydorou, A., Polydorou, V., Tavernarakis, A., Ioannou, N., Terzoudi, M., Lazarides, M., Mantatzis, M., Vadikolias, K., Dzieciuchowicz, L., Gabriel, M., Krasinski, Z., Oszkinis, G., Pukacki, F., Slowinski, M., Stanisic, M. -G., Staniszewski, R., Tomczak, J., Zielinski, M., Myrcha, P., Rozanski, D., Drelichowski, S., Iwanowski, W., Koncewicz, K., Bialek, P., Biejat, Z., Czepel, W., Czlonkowska, A., Dowzenko, A., Jedrzejewska, J., Kobayashi, A., Leszczynski, J., Malek, A., Polanski, J., Proczka, R., Skorski, M., Szostek, M., Andziak, P., Dratwicki, M., Gil, R., Nowicki, M., Pniewski, J., Rzezak, J., Seweryniak, P., Dabek, P., Juszynski, M., Madycki, G., Pacewski, B., Raciborski, W., Slowinski, P., Staszkiewicz, W., Bombic, M., Chlouba, V., Fiedler, J., Hes, K., Kostal, P., Sova, J., Kriz, Z., Privara, M., Reif, M., Staffa, R., Vlachovsky, R., Vojtisek, B., Hrbac, T., Kuliha, M., Prochazka, V., Roubec, M., Skoloudik, D., Netuka, D., Steklacova, A., Benes III, V., Buchvald, P., Endrych, L., Sercl, M., Campos, W., Casella, I. B., de Luccia, N., Estenssoro, A. E. V., Presti, C., Puech-Leao, P., Neves, C. R. B., da Silva, E. S., Sitrangulo, C. J., Monteiro, J. A. T., Tinone, G., Bellini Dalio, M., Joviliano, E. E., Pontes Neto, O. M., Serra Ribeiro, M., Cras, P., Hendriks, J. M. H., Hoppenbrouwers, M., Lauwers, P., Loos, C., Yperzeele, L., Geenens, M., Hemelsoet, D., van Herzeele, I., Vermassen, F., Astarci, P., Hammer, F., Lacroix, V., Peeters, A., Verhelst, R., Cirelli, S., Dormal, P., Grimonprez, A., Lambrecht, B., Lerut, P., Thues, E., De Koster, G., Desiron, Q., Maertens de Noordhout, A., Malmendier, D., Massoz, M., Saad, G., Bosiers, M., Callaert, J., Deloose, K., Blanco Canibano, E., Garcia Fresnillo, B., Guerra Requena, M., Morata Barrado, P. C., Muela Mendez, M., Yusta Izquierdo, A., Aparici Robles, F., Blanes Orti, P., Garcia Dominguez, L., Martinez Lopez, R., Miralles Hernandez, M., Tembl Ferrairo, J. I., Chamorro, A., Macho, J., Obach, V., Riambau, V., San Roman, L., Ahlhelm, F. J., Blackham, K., Engelter, S., Eugster, T., Gensicke, H., Gurke, L., Lyrer, P., Mariani, L., Maurer, M., Mujagic, E., Muller, M., Psychogios, M., Stierli, P., Stippich, C., Traenka, C., Wolff, T., Wagner, B., Wiegert, M. M., Clarke, S., Diepers, M., Grochenig, E., Gruber, P., Isaak, A., Kahles, T., Marti, R., Nedeltchev, K., Remonda, L., Tissira, N., Valenca Falcao, M., de Borst, G. J., Lo, R. H., Moll, F. L., Toorop, R., van der Worp, B. H., Vonken, E. J., Kappelle, J. L., Jahrome, O., Vos, F., Schuiling, W., van Overhagen, H., Keunen, R. W. M., Knippenberg, B., Wever, J. J., Lardenoije, J. W., Reijnen, M., Smeets, L., van Sterkenburg, S., Fraedrich, G., Gizewski, E., Gruber, I., Knoflach, M., Kiechl, S., Rantner, B., Abdulamit, T., Bergeron, P., Padovani, R., Trastour, J. -C., Cardon, J. -M., Le Gallou-Wittenberg, A., Allaire, E., Becquemin, J. -P., Cochennec-Paliwoda, F., Desgranges, P., Hosseini, H., Kobeiter, H., Marzelle, J., Almekhlafi, M. A., Bal, S., Barber, P. A., Coutts, S. B., Demchuk, A. M., Eesa, M., Gillies, M., Goyal, M., Hill, M. D., Hudon, M. E., Jambula, A., Kenney, C., Klein, G., Mcclelland, M., Mitha, A., Menon, B. K., Morrish, W. F., Peters, S., Ryckborst, K. J., Samis, G., Save, S., Smith, E. E., Stys, P., Subramaniam, S., Sutherland, G. R., Watson, T., Wong, J. H., Zimmel, L., Flis, V., Matela, J., Miksic, K., Milotic, F., Mrdja, B., Stirn, B., Tetickovic, E., Gasparini, M., Grad, A., Kompara, I., Milosevic, Z., Palmiste, V., Toomsoo, T., Aidashova, B., Kospanov, N., Lyssenko, R., Mussagaliev, D., Beyar, R., Hoffman, A., Karram, T., Kerner, A., Nikolsky, E., Nitecki, S., Andonova, S., Bachvarov, C., Petrov, V., Cvjetko, I., Vidjak, V., Haluzan, D., Petrunic, M., Liu, B., Liu, C. -W., Bartko, D., Beno, P., Rusnak, F., Zelenak, K., Ezura, M., Inoue, T., Kimura, N., Kondo, R., Matsumoto, Y., Shimizu, H., Endo, H., Furui, E., Bakke, S., Krohg-Sorensen, K., Nome, T., Skjelland, M., Tennoe, B., Albuquerque e Castro, J., Alves, G., Bastos Goncalves, F., de Aragao Morais, J., Garcia, A. C., Valentim, H., Vasconcelos, L., Belcastro, F., Cura, F., Zaefferer, P., Abd-Allah, F., Eldessoki, M. H., Heshmat Kassem, H., Soliman Gharieb, H., Colgan, M. P., Haider, S. N., Harbison, J., Madhavan, P., Moore, D., Shanik, G., Kazan, V., Nazzal, M., Ramsey-Williams, V., Burzotta F. (ORCID:0000-0002-6569-9401), Tinelli G. (ORCID:0000-0002-2212-3226), Tshomba Y. (ORCID:0000-0001-7304-7553), and Vincenzoni C.

Abstract

Background: Among asymptomatic patients with severe carotid artery stenosis but no recent stroke or transient cerebral ischaemia, either carotid artery stenting (CAS) or carotid endarterectomy (CEA) can restore patency and reduce long-term stroke risks. However, from recent national registry data, each option causes about 1% procedural risk of disabling stroke or death. Comparison of their long-term protective effects requires large-scale randomised evidence. Methods: ACST-2 is an international multicentre randomised trial of CAS versus CEA among asymptomatic patients with severe stenosis thought to require intervention, interpreted with all other relevant trials. Patients were eligible if they had severe unilateral or bilateral carotid artery stenosis and both doctor and patient agreed that a carotid procedure should be undertaken, but they were substantially uncertain which one to choose. Patients were randomly allocated to CAS or CEA and followed up at 1 month and then annually, for a mean 5 years. Procedural events were those within 30 days of the intervention. Intention-to-treat analyses are provided. Analyses including procedural hazards use tabular methods. Analyses and meta-analyses of non-procedural strokes use Kaplan-Meier and log-rank methods. The trial is registered with the ISRCTN registry, ISRCTN21144362. Findings: Between Jan 15, 2008, and Dec 31, 2020, 3625 patients in 130 centres were randomly allocated, 1811 to CAS and 1814 to CEA, with good compliance, good medical therapy and a mean 5 years of follow-up. Overall, 1% had disabling stroke or death procedurally (15 allocated to CAS and 18 to CEA) and 2% had non-disabling procedural stroke (48 allocated to CAS and 29 to CEA). Kaplan-Meier estimates of 5-year non-procedural stroke were 2·5% in each group for fatal or disabling stroke, and 5·3% with CAS versus 4·5% with CEA for any stroke (rate ratio [RR] 1·16, 95% CI 0·86–1·57; p=0·33). Combining RRs for any non-procedural stroke in all CAS versus CEA

Published
2021

25. Electrophysiological Brain-Cardiac Coupling in Train Drivers during Monotonous Driving

Author

Lees, T, Chalmers, T, Burton, D, Zilberg, E, Penzel, T, Lal, S, Lees, T, Chalmers, T, Burton, D, Zilberg, E, Penzel, T, and Lal, S

Abstract

Electrophysiological research has previously investigated monotony and the cardiac health of drivers independently; however, few studies have explored the association between the two. As such the present study aimed to examine the impact of monotonous train driving (indicated by electroencephalogram (EEG) activity) on an individual's cardiac health as measured by heart rate variability (HRV). Sixty-three train drivers participated in the present study, and were required to complete a monotonous train driver simulator task. During this task, a 32 lead EEG and a three-lead electrocardiogram were recorded from each participant. In the present analysis, the low (LF) and high frequency (HF) HRV parameters were associated with delta (p < 0.05), beta (p = 0.03) and gamma (p < 0.001) frequency EEG variables. Further, total HRV was associated with gamma activity, while sympathovagal balance (i.e., LF:HF ratio) was best associated fronto-temporal delta activity (p = 0.02). HRV and EEG parameters appear to be coupled, with the parameters of the delta and gamma EEG frequency bands potentially being the most important to this coupling. These relationships provide insight into the impact of a monotonous task on the cardiac health of train drivers, and may also be indicative of strategies employed to combat fatigue or engage with the driving task.

Published
2021

26. Cytisine versus varenicline for smoking cessation in New Zealand indigenous Māori: A randomized controlled trial

Author

Walker, N., Smith, B., Barnes, J., Verbiest, M., Parag, V., Pokhrel, S., Wharakura, M., Lees, T., Cubillos Gutierrez, H., Jones, B., Bullen, C., Walker, N., Smith, B., Barnes, J., Verbiest, M., Parag, V., Pokhrel, S., Wharakura, M., Lees, T., Cubillos Gutierrez, H., Jones, B., and Bullen, C.

Abstract

Aim: To determine whether cytisine was at least as effective as varenicline in supporting smoking abstinence for ≥ 6 months in New Zealand indigenous Māori or whānau (extended-family) of Māori, given the high smoking prevalence in this population. Design: Pragmatic, open-label, randomized, community-based non-inferiority trial. Setting: Bay of Plenty, Tokoroa and Lakes District Health Board regions of New Zealand. Participants: Adult daily smokers who identified as Māori or whānau of Māori, were motivated to quit in the next 2 weeks, were aged ≥ 18 years and were eligible for subsidized varenicline. Recruitment used multi-media advertising. Interventions A total of 679 people were randomly assigned (1 : 1) to receive a prescription for 12 weeks of cytisine or varenicline, plus low-intensity cessation behavioural support from the prescribing doctor and community stop-smoking services or a research assistant. Day 5 of treatment was the designated quit date. Measurements: The primary outcome was carbon monoxide-verified continuous abstinence at 6 months, analysed as intention-to-treat (with multiple imputation for missing data). Secondary outcomes measured at 1, 3, 6 and 12 months post-quit date included: self-reported continuous abstinence, 7-day point prevalence abstinence, cigarettes per day, time to (re)lapse, adverse events, treatment adherence/compliance and acceptability, nicotine withdrawal/urge to smoke and health-care utilization/health-related quality of life. Findings: Verified continuous abstinence rates at 6 months post-quit date were 12.1% (41 of 337) for cytisine versus 7.9% (27 of 342) for varenicline [risk difference 4.29%, 95% confidence interval (CI) = –0.22 to 8.79; relative risk 1.55; 95% CI = 0.97–2.46]. Sensitivity analyses confirmed that the findings were robust. Self-reported adverse events over 6 months occurred significantly more frequently in the varenicline g

Published
2021

27. Classifying multi-level stress responses from brain cortical EEG in Nurses and Non-health professionals using Machine Learning Auto Encoder

Author

Akella, A, Singh, AK, Leong, D, Lal, S, Newton, P, Clifton-Bligh, R, McLachlan, CS, Gustin, SM, Maharaj, S, Lees, T, Cao, Z, Lin, C-T, Akella, A, Singh, AK, Leong, D, Lal, S, Newton, P, Clifton-Bligh, R, McLachlan, CS, Gustin, SM, Maharaj, S, Lees, T, Cao, Z, and Lin, C-T

Abstract

Objective

Mental stress is a major problem in our society and has become an area of interest for many psychiatric researchers. One primary research focus area is the identification of bio-markers that not only identify stress but also predict the conditions (or tasks) that cause stress. Electroencephalograms (EEGs) have been used for a long time to study and identify bio-markers. While these bio-markers have successfully predicted stress in EEG studies for binary conditions, their performance is suboptimal for multiple conditions of stress.

Methods

To overcome this challenge, we propose using latent based representations of the bio-markers, which have been shown to significantly improve EEG performance compared to traditional bio-markers alone. We evaluated three commonly used EEG based bio-markers for stress, the brain load index (BLI), the spectral power values of EEG frequency bands (alpha, beta and theta), and the relative gamma (RG), with their respective latent representations using four commonly used classifiers.

Results

The results show that spectral power value based bio-markers had a high performance with an accuracy of 83%, while the respective latent representations had an accuracy of 91%.

Published
2021

28. Predictors of Acute and Persisting Ischemic Brain Lesions in Patients Randomized to Carotid Stenting or Endarterectomy

Author

Rostamzadeh, Ayda, Zumbrunn, Thomas, Jongen, Lisa M., Nederkoorn, Paul J., Macdonald, Sumaira, Lyrer, Philippe A., Kappelle, L. Jaap, Mali, Willem P. Th. M., Brown, Martin M., van der Worp, H. Bart, Engelter, Stefan T., Bonati, Leo H., de Borst, G.J., de Kort, G.A.P., Jongen, L.M., Kappelle, L.J., Lo, T.H., Mali, W.P.Th.M., Moll, F.L., van der Worp, H.B., Bonati, L.H., Engelter, S.T., Fluri, F., Haller, S., Jacob, A.L., Kirsch, E., Lyrer, P.A., Radue, E.-W., Stierli, P., Wasner, M., Wetzel, S.G., Flach, H.Z., Hendriks, J.M., Koudstaal, P.J., Pattynama, P.M.T., van Dijk, L.C., van Sambeek, M.R.H.M., van der Lugt, A., van Urk, H., Verhagen, H.J.M., Clarke, M., Davis, M., Dixit, A.K., Dorman, P., Dyker, A., Ford, G., Golkar, A., Jackson, R., Jayakrishnan, V., Lambert, D., Lees, T., Louw, S., Macdonald, S., Mendelow, D., Rodgers, H., Rose, J., Stansby, G., Wyatt, M., Koelemaij, M.J.W., Majoie, C.B.L.M., Nederkoorn, P.J., Reekers, J.A.A., Roos, Y.B.W.E.M., Adiseshiah, M., Bishop, C., Brew, S., Brookes, J., Brown, M.M., Jäger, H.R., Kitchen, N., Beard, J., Cleveland, T., Dodd, D., Gaines, P.A., Lonsdale, R., Nair, R., Nassef, A., Nawaz, S., and Venables, G.

Published
2014
Full Text
View/download PDF

30. Electroencephalographic prediction of global and domain specific cognitive performance of clinically active Australian Nurses

Author

Lees T, Maharaj S, Kalatzis G, Nassif NT, Newton PJ, and Lal S

Subjects
0903 Biomedical Engineering, 0906 Electrical and Electronic Engineering, 1116 Medical Physiology, Biomedical Engineering
Abstract

OBJECTIVE:To investigate the relationship between EEG activity and the global and domain specific cognitive performance of healthy nurses, and determine the predictive capabilities of these relationships. APPROACH:Sixty-four nurses were recruited for the present study, and data from 61 were utilised in the present analysis. Global and domain specific cognitive performance of each participant was assessed psychometrically using the Mini-mental state exam and the Cognistat, and a 32-lead monopolar EEG was recorded during a resting baseline phase and an active phase in which participants completed the Stroop test. MAIN RESULTS:Global cognitive performance was successfully predicted (81%-85% of variance) by a combination of fast wave activity variables in the alpha, beta and theta frequency bands. Interestingly, predicting domain specific performance had varying degrees of success (42%-99% of the variance predicted) and relied on combinations of both slow and fast wave activity, with delta and gamma activity predicting attention performance; delta, theta, and gamma activity predicting memory performance; and delta and beta variables predicting judgement performance. SIGNIFICANCE:Global and domain specific cognitive performance of Australian nurses may be predicted with varying degrees of success by a unique combination of EEG variables. These proposed models image transitory cognitive declines and as such may prove useful in the prediction of early cognitive impairment, and may enable better diagnosis, and management of cognitive impairment.

Published
2020

32. Impact of acute stress on cortical electrical activity and cardiac autonomic coupling.

Author

Chalmers, T, Maharaj, S, Lees, T, Lin, CT, Newton, P, Clifton-Bligh, R, McLachlan, CS, Gustin, SM, Lal, S, Chalmers, T, Maharaj, S, Lees, T, Lin, CT, Newton, P, Clifton-Bligh, R, McLachlan, CS, Gustin, SM, and Lal, S

Abstract

Assessment of heart rate variability (reflective of the cardiac autonomic nervous system) has shown some predictive power for stress. Further, the predictive power of the distinct patterns of cortical brain activity and - cardiac autonomic interactions are yet to be explored in the context of acute stress, as assessed by an electrocardiogram and electroencephalogram. The present study identified distinct patterns of neural-cardiac autonomic coupling during both resting and acute stress states. In particular, during the stress task, frontal delta waves activity was positively associated with low-frequency heart rate variability and negatively associated with high-frequency heart rate variability. Low high-frequency power is associated with stress and anxiety and reduced vagal control. A positive association between resting high-frequency heart rate variability and frontocentral gamma activity was found, with a direct inverse relationship of low-frequency heart rate variability and gamma wave coupling at rest. During the stress task, low-frequency heart rate variability was positively associated with frontal delta activity. That is, the parasympathetic nervous system is reduced during a stress task, whereas frontal delta wave activity is increased. Our findings suggest an association between cardiac parasympathetic nervous system activity and frontocentral gamma and delta activity at rest and during acute stress. This suggests that parasympathetic activity is decreased during acute stress, and this is coupled with neuronal cortical prefrontal activity. The distinct patterns of neural-cardiac coupling identified in this study provide a unique insight into the dynamic associations between brain and heart function during both resting and acute stress states.

Published
2020

39. Assessing the curability of cancer

Author

Lees, T. W.

Subjects
616.07
Abstract

The object of this thesis is to examine the methods of analysis of the treatment of cancer in an attempt to explain the apparent discrepancy between what is claimed for cancer treatment and what is achieved by cancer treatment. The thesis will be in seven parts: I.) The Difficulties in Evaluating the Value of Cancer Treatment will be examined. These mainly arise from the difficulty in diagnosing cancer and in assessing the degree of malignancy of a known cancer. Unless there is definition of what is being cured the results of treatment are largely indefinite. II.) The Claims for the Curability of Cancer will be discussed and the conclusion will be reached that treatment does not "cure" cancer but at the most prolongs life. III.) The present day Concept of Cancer Behaviour is criticised as are the conclusions relative to treatment which, are based on that concept. An attempt to alter this concept will be made in order to provide an acceptable basis for analysing the behaviour of treated or untreated cancer. IV.) An Index or Formula to Summarise Cancer Behaviour is therefore necessary. The criteria for evolving an accurate index of cancer behaviour will be examined. V.) The Present Methods of Analysing Cancer Behaviour and the Results of Treatment will be criticised and particularly the fallacies of the "five year survival rate" as an index. VI.) An Attempt to Evolve an Accurate and Sensitive Index of Cancer Behaviour will be made. This index it is hoped will o\Tereonie as many as possible of the drawbacks of present methods of analysis. VII.) Discussion and Summary.

Published
1953

42. UK CAROTID ENDARTERECTOMY AUDIT: 1

Author

Halliday, A. W., Rudd, A. G., Rothwell, P. M., Lees, T., Potter, J. F., Hoffman, A., Grant, R., Lowe, D., and Kamugasha, D.

Published
2008

43. A sustained ocean observing system in the Indian Ocean for climate related scientific knowledge and societal needs

Author

Hermes, J. C., Masumoto, Y., Beal, L. M., Roxy, M. K., Vialard, Jérôme, Andres, M., Annamalai, H., Behera, S., D'Adamo, N., Doi, T., Peng, M., Han, W., Hardman-Mountford, N., Hendon, H., Hood, R., Kido, S., Lee, C., Lees, T., Lengaigne, Matthieu, Li, J., Lumpkin, R., Navaneeth, K. N., Milligan, B., McPhaden, M. J., Ravichandran, M., Shinoda, T., Singh, A., Sloyan, B., Strutton, P. G., Subramanian, A. C., Thurston, S., Tozuka, T., Ummenhofer, C. C., Unnikrishnan, A. S., Venkatesan, R., Wang, D., Wiggert, J., Yu, L., and Yu, W.

Subjects
end-user connections and application, data, regional observing system, interdisciplinary, IndOOS, integration, sustained observing system, Indian Ocean
Abstract

The Indian Ocean is warming faster than any of the global oceans and its climate is uniquely driven by the presence of a landmass at low latitudes, which causes monsoonal winds and reversing currents. The food, water, and energy security in the Indian Ocean rim countries and islands are intrinsically tied to its climate, with marine environmental goods and services, as well as trade within the basin, underpinning their economies. Hence, there are a range of societal needs for Indian Ocean observation arising from the influence of regional phenomena and climate change on, for instance, marine ecosystems, monsoon rains, and sea-level. The Indian Ocean Observing System (IndOOS), is a sustained observing system that monitors basin-scale ocean-atmosphere conditions, while providing flexibility in terms of emerging technologies and scientific and societal needs, and a framework for more regional and coastal monitoring. This paper reviews the societal and scientific motivations, current status, and future directions of IndOOS, while also discussing the need for enhanced coastal, shelf, and regional observations. The challenges of sustainability and implementation are also addressed, including capacity building, best practices, and integration of resources. The utility of IndOOS ultimately depends on the identification of, and engagement with, end-users and decision-makers and on the practical accessibility and transparency of data for a range of products and for decision-making processes. Therefore we highlight current progress, issues and challenges related to end user engagement with IndOOS, as well as the needs of the data assimilation and modeling communities. Knowledge of the status of the Indian Ocean climate and ecosystems and predictability of its future, depends on a wide range of socio-economic and environmental data, a significant part of which is provided by IndOOS.

Published
2019

47. Prevalence and risk factors of depression, anxiety, and stress in a cohort of Australian nurses

Author

Maharaj, S, Lees, T, and Lal, S

Subjects
Adult, Male, Depression, Australia, Nurses, Blood Pressure, Anxiety, Middle Aged, Toxicology, Job Satisfaction, Cohort Studies, Occupational Stress, Mental Health, Socioeconomic Factors, Risk Factors, Surveys and Questionnaires, Prevalence, Humans, Female, Life Style
Abstract

© 2018 by the authors. Licensee MDPI, Basel, Switzerland. Nurses remain at the forefront of patient care. However, their heavy workload as a career can leave them overworked and stressed. The demanding nature of the occupation exposes nurses to a higher risk of developing negative mental states such as depression, anxiety, and stress. Hence, the current study aimed to assess the prevalence and risk factors of these mental states in a representative sample of Australian nurses. The Depression Anxiety Stress Scale was administered to 102 nurses. Information about demographic and work characteristics were obtained using lifestyle and in-house designed questionnaires. Prevalence rates of depression, anxiety, and stress were found to be 32.4%, 41.2%, and 41.2% respectively. Binominal logistic regressions for depression and stress were significant (p = 0.007, p = 0.009). Job dissatisfaction significantly predicted a higher risk of nurses developing symptoms of depression and stress respectively (p = 0.009, p = 0.011). Poor mental health among nurses may not only be detrimental to the individual but may also hinder professional performance and in turn, the quality of patient care provided. Further research in the area is required to identify support strategies and interventions that may improve the health and wellbeing of nursing professionals and hence the quality of care delivered.

Published
2018

48. Prevalence and risk factors of depression, anxiety, and stress in a cohort of Australian nurses

Author

Maharaj, S, Lees, T, Lal, S, Maharaj, S, Lees, T, and Lal, S

Abstract

© 2018 by the authors. Licensee MDPI, Basel, Switzerland. Nurses remain at the forefront of patient care. However, their heavy workload as a career can leave them overworked and stressed. The demanding nature of the occupation exposes nurses to a higher risk of developing negative mental states such as depression, anxiety, and stress. Hence, the current study aimed to assess the prevalence and risk factors of these mental states in a representative sample of Australian nurses. The Depression Anxiety Stress Scale was administered to 102 nurses. Information about demographic and work characteristics were obtained using lifestyle and in-house designed questionnaires. Prevalence rates of depression, anxiety, and stress were found to be 32.4%, 41.2%, and 41.2% respectively. Binominal logistic regressions for depression and stress were significant (p = 0.007, p = 0.009). Job dissatisfaction significantly predicted a higher risk of nurses developing symptoms of depression and stress respectively (p = 0.009, p = 0.011). Poor mental health among nurses may not only be detrimental to the individual but may also hinder professional performance and in turn, the quality of patient care provided. Further research in the area is required to identify support strategies and interventions that may improve the health and wellbeing of nursing professionals and hence the quality of care delivered.

Published
2019

49. A systematic review of the current evidence regarding interventions for anxiety, PTSD, sleepiness and fatigue in the law enforcement workplace

Author

Lees, T, Elliott, JL, Gunning, S, Newton, PJ, Rai, T, Lal, S, Lees, T, Elliott, JL, Gunning, S, Newton, PJ, Rai, T, and Lal, S

Abstract

© 2019 National Institute of Occupational Safety and Health. Law enforcement is inherently stressful, and police officers are particularly vulnerable to mental and physical disorders. As such, researchers are currently assessing intervention strategies that may combat or manage these psychological, physical and mental issues. To review most recent information regarding anxiety, PTSD, and sleepiness and fatigue and identify the interventions and treatments proposed to overcome work related stressors and associated mental illnesses inflicting law enforcement officers. The EMBASE, OVID MEDLINE and PsycINFO databases were canvassed for articles investigating anxiety, post-traumatic stress disorder, sleepiness, and fatigue. Initial article selections were made based on title, whilst final inclusion was informed by a full critical appraisal with respect to the primary and secondary effects. The systematic search returned 363 records, of which 183 were unique. Following screening, 43 records were included in the final review. The included literature assessed the efficacy of several interventions, and provided a number of recommendations regarding interventions, and policy. Moreover, literature indicates that police officers benefit from interventions targeting work-related stress and potential psychological disorders, if these interventions are continuous. Furthermore, larger controlled studies are required to further elucidate the benefits of psychosocial intervention in law enforcement.

Published
2019

50. Negative Mental States and Their Association to the Cognitive Function of Nurses

Author

Maharaj, S, Lees, T, Lal, S, Maharaj, S, Lees, T, and Lal, S

Abstract

© 2018 Hogrefe Publishing. Nurses' inherently stressful occupation leaves them at a higher risk of developing negative mental states (stress, anxiety, and depression). However, research examining the effect of negative mental states on these health professionals' cognitive performance is sparse. Thus, the present study aimed to assess the link between negative mental states and cognitive performance in nurses (n = 53). Negative mental state data was obtained using the Depression Anxiety Stress Scale, brain activity was measured using electroencephalography, and finally, cognitive performance was assessed using the Cognistat and the Mini-Mental State Examination. Significant negative correlations (p <.05) were observed between anxiety and attention, and all three negative mental states and memory performance. Electroencephalographic changes indicated that increases in anxiety were significantly associated (p <.05) with decreases in gamma reactivity at fronto-central sites. The current study suggests that higher levels of negative mental states are associated with domain-specific cognitive impairments, and variations in gamma reactivity; possibly reflecting less optimal cortical functioning.

Published
2019

Catalog

Books, media, physical & digital resources
See catalog results