Process-based classification of Mediterranean cyclones using potential vorticity

This is the final version. Available on open access from Copernicus Publications via the DOI in this recordCode availability:The code for the SOM classification algorithm is openly available at https://www.mathworks.com/help/deeplearning/gs/cluster-data-with-a-self-organizingmap.html (last access: 29 January 2024).Data availability: The composite cyclone tracks with the resulting cluster attribution are available in the supplementary assets of this paper. The track labels correspond to the composite cyclone track dataset at confidence level 5, made available as a Supplement by Flaounas et al. (2023) (“TRACKS_CL5.dat”).Mediterranean cyclones (MCs) govern extreme weather events across the Euro-African Basin, affecting the lives of hundreds of millions. Despite many studies addressing MCs in the last few decades, their correct simulation and prediction remain a significant challenge to the present day, which may be attributed to the large variability among MCs. Past classifications of MCs are primarily based on geographical and/or seasonal separations; however, here we focus on cyclone genesis and deepening mechanisms. A variety of processes combine to govern MC genesis and evolution, including adiabatic and diabatic processes, topographic influences, land-sea contrasts, and local temperature anomalies. As each process bears a distinct signature on the potential vorticity (PV) field, a PV approach is used to distinguish among different "types"of MCs. Here, a combined cyclone-tracking algorithm is used to detect 3190 Mediterranean cyclone tracks in ECMWF ERA5 from 1979-2020. Cyclone-centered, upper-level isentropic PV structures in the peak time of each cyclone track are classified using a self-organizing map (SOM). The SOM analysis reveals nine classes of Mediterranean cyclones, with distinct Rossby-wave-breaking patterns, discernible in corresponding PV structures. Although classified by upper-level PV structures, each class shows different contributions of lower-tropospheric PV and flow structures down to the surface. Unique cyclone life cycle characteristics, associated hazards (precipitation, winds, and temperature anomalies), and long-term trends, as well as synoptic, thermal, dynamical, seasonal, and geographical features of each cyclone class, indicate dominant processes in their evolution. Among others, the classification reveals the importance of topographically induced Rossby wave breaking to the generation of the most extreme Mediterranean cyclones. These results enhance our understanding of MC predictability by linking the large-scale Rossby wave formations and life cycles to coherent classes of under-predicted cyclone aspects.de Botton Center for Marine ScienceIsraeli Council for Higher Education (CHE)Weizmann Data Science Research CenterWeizmann Institute Sustainability and Energy Research Initiative (SAERI

A personalized, intense physical rehabilitation program improves walking in people with multiple sclerosis presenting with different levels of disability: A retrospective cohort

Copyright © 2015 Kalron et al.Background: People with multiple sclerosis (PwMS) endure walking limitations. To address this restriction, various physical rehabilitation programs have been implemented with no consensus regarding their efficacy. Our objective was to report on the efficacy of an integrated tailored physical rehabilitation program on walking in people with multiple sclerosis categorized according to their level of neurological disability. Methods: Retrospective data were examined and analyzed. Specifically, data obtained from all patients who participated in the Multiple Sclerosis Center's 3 week rehabilitation program were extracted for in depth exploration. The personalized rehabilitation program included three major components modified according to the patient's specific impairments and functional needs: (a) goal directed physical therapy (b) moderately intense aerobic exercise training on a bicycle ergometer and (c) aquatic therapy chiefly oriented to body structures appropriate to movement. Gait outcome measurements included the 10 meter, 20 meter, Timed up and go and 2 minute walking tests measured pre and post the rehabilitation program. Three hundred and twelve people with relapsing-remitting multiple sclerosis were included in the final analysis. Patients were categorized into mild (n = 87), moderate (n = 104) and severely (n = 121) disabled groups. Results: All clinical walking outcome measurements demonstrated statistically significant improvements, however, only an increase in the 2 minute walking test was above the minimal clinical difference value. The moderate and severe groups considerably improved compared to the mild gait disability group. Mean change scores (%) of the pre-post intervention period of the 2 minute walking test were 19.0 (S.E. = 3.4) in the moderate group, 16.2 (S.E. = 5.4) in the severe group and 10.9 (S.E. = 2.3) in the mild gait disability group. Conclusions: We presented comprehensive evidence verifying the effects of an intense goal-directed physical rehabilitation program on ambulation in people with multiple sclerosis presenting with different neurological impairment levels

Pneumococcal lineages associated with serotype replacement and antibiotic resistance in childhood invasive pneumococcal disease in the post-PCV13 era: an international whole-genome sequencing study

Background: Invasive pneumococcal disease remains an important health priority owing to increasing disease incidence caused by pneumococci expressing non-vaccine serotypes. We previously defined 621 Global Pneumococcal Sequence Clusters (GPSCs) by analysing 20 027 pneumococcal isolates collected worldwide and from previously published genomic data. In this study, we aimed to investigate the pneumococcal lineages behind the predominant serotypes, the mechanism of serotype replacement in disease, as well as the major pneumococcal lineages contributing to invasive pneumococcal disease in the post-vaccine era and their antibiotic resistant traits. Methods: We whole-genome sequenced 3233 invasive pneumococcal disease isolates from laboratory-based surveillance programmes in Hong Kong (n=78), Israel (n=701), Malawi (n=226), South Africa (n=1351), The Gambia (n=203), and the USA (n=674). The genomes represented pneumococci from before and after pneumococcal conjugate vaccine (PCV) introductions and were from children younger than 3 years. We identified predominant serotypes by prevalence and their major contributing lineages in each country, and assessed any serotype replacement by comparing the incidence rate between the pre-PCV and PCV periods for Israel, South Africa, and the USA. We defined the status of a lineage as vaccine-type GPSC (≥50% 13-valent PCV [PCV13] serotypes) or non-vaccine-type GPSC (>50% non-PCV13 serotypes) on the basis of its initial serotype composition detected in the earliest vaccine period to measure their individual contribution toward serotype replacement in each country. Major pneumococcal lineages in the PCV period were identified by pooled incidence rate using a random effects model. Findings: The five most prevalent serotypes in the PCV13 period varied between countries, with only serotypes 5, 12F, 15B/C, 19A, 33F, and 35B/D common to two or more countries. The five most prevalent serotypes in the PCV13 period varied between countries, with only serotypes 5, 12F, 15B/C, 19A, 33F, and 35B/D common to two or more countries. These serotypes were associated with more than one lineage, except for serotype 5 (GPSC8). Serotype replacement was mainly mediated by expansion of non-vaccine serotypes within vaccine-type GPSCs and, to a lesser extent, by increases in non-vaccine-type GPSCs. A globally spreading lineage, GPSC3, expressing invasive serotypes 8 in South Africa and 33F in the USA and Israel, was the most common lineage causing non-vaccine serotype invasive pneumococcal disease in the PCV13 period. We observed that same prevalent non-vaccine serotypes could be associated with distinctive lineages in different countries, which exhibited dissimilar antibiotic resistance profiles. In non-vaccine serotype isolates, we detected significant increases in the prevalence of resistance to penicillin (52 [21%] of 249 vs 169 [29%] of 575, p=0·0016) and erythromycin (three [1%] of 249 vs 65 [11%] of 575, p=0·0031) in the PCV13 period compared with the pre-PCV period. Interpretation: Globally spreading lineages expressing invasive serotypes have an important role in serotype replacement, and emerging non-vaccine serotypes associated with different pneumococcal lineages in different countries might be explained by local antibiotic-selective pressures. Continued genomic surveillance of the dynamics of the pneumococcal population with increased geographical representation in the post-vaccine period will generate further knowledge for optimising future vaccine design. Funding: Bill & Melinda Gates Foundation, Wellcome Sanger Institute, and the US Centers for Disease Control.Fil: Lo, Stephanie W.. Wellcome Sanger Institute; Reino UnidoFil: Gladstone, Rebecca A.. Wellcome Sanger Institute; Reino UnidoFil: van Tonder, Andries J.. Wellcome Sanger Institute; Reino UnidoFil: Lees, John A.. University Of New York. School Of Medicine; Estados UnidosFil: du Plessis, Mignon. National Institute For Communicable Diseases; SudáfricaFil: Benisty, Rachel. Ben Gurion University of the Negev; IsraelFil: Givon Lavi, Noga. Ben Gurion University of the Negev; IsraelFil: Hawkins, Paulina A.. University of Emory. Rollins School of Public Health; Estados UnidosFil: Cornick, Jennifer E.. Malawi liverpool wellcome trust; MalauiFil: Kwambana Adams, Brenda. University College London; Estados UnidosFil: Law, Pierra Y.. University of Hong Kong; ChinaFil: Ho, Pak Leung. University of Hong Kong; ChinaFil: Antonio, Martin. Medical Research Council Unit The Gambia; GambiaFil: Everett, Dean B.. University of Edinburgh; Reino UnidoFil: Dagan, Ron. Ben Gurion University of the Negev; IsraelFil: Von Gottberg, Anne. National Institute For Communicable Diseases; SudáfricaFil: Klugman, Keith P.. University of Emory. Rollins School of Public Health; Estados UnidosFil: McGee, Lesley. Centers for Disease Control and Prevention; Estados UnidosFil: Breiman, Robert F.. University of Emory. Rollins School of Public Health; Estados UnidosFil: Bentley, Stephen D.. Wellcome Sanger Institute; Reino UnidoFil: Brooks, Abdullah W.. The Global Pneumococcal Sequencing Consortium; Reino UnidoFil: Corso, Alejandra. The Global Pneumococcal Sequencing Consortium; Reino Unido. Dirección Nacional de Institutos de Investigación. Administración Nacional de Laboratorios e Institutos de Salud. Instituto Nacional de Enfermedades Infecciosas. Área de Antimicrobianos; ArgentinaFil: Davydov, Alexander. The Global Pneumococcal Sequencing Consortium; Reino UnidoFil: Maguire, Alison. The Global Pneumococcal Sequencing Consortium; Reino UnidoFil: Pollard, Andrew. The Global Pneumococcal Sequencing Consortium; Reino UnidoFil: Kiran, Anmol. The Global Pneumococcal Sequencing Consortium; Reino UnidoFil: Skoczynska, Anna. The Global Pneumococcal Sequencing Consortium; Reino UnidoFil: Moiane, Benild. The Global Pneumococcal Sequencing Consortium; Reino UnidoFil: Beall, Bernard. The Global Pneumococcal Sequencing Consortium; Reino UnidoFil: Sigauque, Betuel. The Global Pneumococcal Sequencing Consortium; Reino UnidoFil: Aanensen, David. The Global Pneumococcal Sequencing Consortium; Reino UnidoFil: Lehmann, Deborah. The Global Pneumococcal Sequencing Consortium; Reino UnidoFil: Faccone, Diego Francisco. Dirección Nacional de Institutos de Investigación. Administración Nacional de Laboratorios e Institutos de Salud. Instituto Nacional de Enfermedades Infecciosas. Área de Antimicrobianos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentin