THE RESILIENCY OF THE AL-SHABAAB MOVEMENT IN SOMALIA

Throughout Al-Shabaab's history, the militant group has demonstrated enduring organizational resiliency in the face of concerted international counterterrorism efforts and turbulent internal dynamics. This thesis explores the factors that enabled the terrorist group's success and resilience in East Africa by considering two severe low points in the group's history, notably the failure of the Ramadan Offensive in 2010 and the death of Al-Shabaab emir Ahmed Godane in 2014. Both cases apply alternative hypotheses related to political context, organizational attributes, and counterterrorism failures and assess the hypotheses' relevance to the case of Al-Shabaab in Somalia. Al-Shabaab's critical factors for resiliency provide insight into potential policy implications for Somalia and similarly situated conflict zones.Captain, United States Air ForceApproved for public release. distribution is unlimite

Ecological and Genomic Attributes of Novel Bacterial Taxa That Thrive in Subsurface Soil Horizons.

While most bacterial and archaeal taxa living in surface soils remain undescribed, this problem is exacerbated in deeper soils, owing to the unique oligotrophic conditions found in the subsurface. Additionally, previous studies of soil microbiomes have focused almost exclusively on surface soils, even though the microbes living in deeper soils also play critical roles in a wide range of biogeochemical processes. We examined soils collected from 20 distinct profiles across the United States to characterize the bacterial and archaeal communities that live in subsurface soils and to determine whether there are consistent changes in soil microbial communities with depth across a wide range of soil and environmental conditions. We found that bacterial and archaeal diversity generally decreased with depth, as did the degree of similarity of microbial communities to those found in surface horizons. We observed five phyla that consistently increased in relative abundance with depth across our soil profiles: Chloroflexi, Nitrospirae, Euryarchaeota, and candidate phyla GAL15 and Dormibacteraeota (formerly AD3). Leveraging the unusually high abundance of Dormibacteraeota at depth, we assembled genomes representative of this candidate phylum and identified traits that are likely to be beneficial in low-nutrient environments, including the synthesis and storage of carbohydrates, the potential to use carbon monoxide (CO) as a supplemental energy source, and the ability to form spores. Together these attributes likely allow members of the candidate phylum Dormibacteraeota to flourish in deeper soils and provide insight into the survival and growth strategies employed by the microbes that thrive in oligotrophic soil environments.IMPORTANCE Soil profiles are rarely homogeneous. Resource availability and microbial abundances typically decrease with soil depth, but microbes found in deeper horizons are still important components of terrestrial ecosystems. By studying 20 soil profiles across the United States, we documented consistent changes in soil bacterial and archaeal communities with depth. Deeper soils harbored communities distinct from those of the more commonly studied surface horizons. Most notably, we found that the candidate phylum Dormibacteraeota (formerly AD3) was often dominant in subsurface soils, and we used genomes from uncultivated members of this group to identify why these taxa are able to thrive in such resource-limited environments. Simply digging deeper into soil can reveal a surprising number of novel microbes with unique adaptations to oligotrophic subsurface conditions

Do Learning Disabilities Affect Testicular Cancer Survival: A National Cohort Study Between 2001 and 2015.

BACKGROUND Some 1.5 million people in the UK have a learning disability (LD). This vulnerable group derives less benefit from population-based education programs. They are prone to underenrolment in screening programs and may lack the ability to perform self-examination. OBJECTIVE To identify patients with LD in England and assess their testicular cancer (TC) survival in comparison to the general population. DESIGN, SETTING, AND PARTICIPANTS Patient records were identified from the Hospital Episode Statistics database. All patients resident in England with a diagnosis of mental debility, "developmental disorder of scholastic skills", or attending under the specialty of LD between April 1, 2001 and June 30, 2015 were included. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS We measured survival outcomes according to the Kaplan-Meier method and used log-rank tests to assess survival difference between demographic groups. RESULTS AND LIMITATIONS Of 158138 male patients with LD, 331 had TC and 32 died of cancer. LD patients had a poorer prognosis, with 10-yr TC-specific survival of 88.4% (95% confidence interval [CI] 84.5-92.4%) in the LD group versus 96.8% (95% CI 96.6-97.1%) in the non-LD group. LD patients also had lower all-cause survival rates. The 10-yr survival rate was 77.6% (95% CI 72.2-83.3%) for LD patients versus 89.9% (95% CI 89.4-90.3%) for non-LD patients, while the corresponding 5-yr rates were 84% (95% CI 79.9-88.4%) versus 92.2% (95% CI 91.8-92.5%). CONCLUSIONS Education regarding self-examination for TC must be provided in a format suitable for those with LD. Carers for male patients with LD should be informed about testicular examination and sinister signs. PATIENT SUMMARY Testicular cancer patients who also have a learning disability (LD) have a one in nine chance of dying, compared to a one in 36 chance for testicular cancer patients without LD. This is because patients with LD are less likely to detect the disease at an earlier stage

Ensemble sensitivity analysis of Greenland blocking in medium-range forecasts

The North Atlantic Oscillation (NAO) is the leading mode of variability in the large scale circulation over the North Atlantic in winter, and strongly influences the weather and climate of Europe. On synoptic timescales, the negative phase of the NAO often corresponds to the occurrence of a blocking episode over Greenland. Hence, the dynamics and predictability of these blocking events is of interest for the prediction of the NAO and its related impacts over a wide region. Ensemble sensitivity analysis utilises the information contained in probabilistic forecast ensembles to calculate a statistical relationship between a forecast metric and some precursor condition. Here the method is applied to 15‐day forecasts of a set of 26 Greenland blocking events using the state‐of‐the‐art European Centre for Medium‐Range Weather Forecasts (ECMWF) forecasting system. The ensemble sensitivity analysis shows that Greenland blocking does not develop in isolation in these forecasts, but instead the blocking is sensitive to remote precursors, such as 500 hPa and 50 hPa geopotential height, particularly in the low‐frequency flow. In general, there are more significant sensitivities to anomalies in the tropics than in the polar regions. Stratospheric sensitivities tend to emerge at later lead times than tropospheric sensitivities. The strongest and most robust sensitivities correspond to a Rossby wave precursor reaching from the Pacific basin across North America

Whole-genome sequencing reveals host factors underlying critical COVID-19

Altres ajuts: Department of Health and Social Care (DHSC); Illumina; LifeArc; Medical Research Council (MRC); UKRI; Sepsis Research (the Fiona Elizabeth Agnew Trust); the Intensive Care Society, Wellcome Trust Senior Research Fellowship (223164/Z/21/Z); BBSRC Institute Program Support Grant to the Roslin Institute (BBS/E/D/20002172, BBS/E/D/10002070, BBS/E/D/30002275); UKRI grants (MC_PC_20004, MC_PC_19025, MC_PC_1905, MRNO2995X/1); UK Research and Innovation (MC_PC_20029); the Wellcome PhD training fellowship for clinicians (204979/Z/16/Z); the Edinburgh Clinical Academic Track (ECAT) programme; the National Institute for Health Research, the Wellcome Trust; the MRC; Cancer Research UK; the DHSC; NHS England; the Smilow family; the National Center for Advancing Translational Sciences of the National Institutes of Health (CTSA award number UL1TR001878); the Perelman School of Medicine at the University of Pennsylvania; National Institute on Aging (NIA U01AG009740); the National Institute on Aging (RC2 AG036495, RC4 AG039029); the Common Fund of the Office of the Director of the National Institutes of Health; NCI; NHGRI; NHLBI; NIDA; NIMH; NINDS.Critical COVID-19 is caused by immune-mediated inflammatory lung injury. Host genetic variation influences the development of illness requiring critical care or hospitalization after infection with SARS-CoV-2. The GenOMICC (Genetics of Mortality in Critical Care) study enables the comparison of genomes from individuals who are critically ill with those of population controls to find underlying disease mechanisms. Here we use whole-genome sequencing in 7,491 critically ill individuals compared with 48,400 controls to discover and replicate 23 independent variants that significantly predispose to critical COVID-19. We identify 16 new independent associations, including variants within genes that are involved in interferon signalling (IL10RB and PLSCR1), leucocyte differentiation (BCL11A) and blood-type antigen secretor status (FUT2). Using transcriptome-wide association and colocalization to infer the effect of gene expression on disease severity, we find evidence that implicates multiple genes-including reduced expression of a membrane flippase (ATP11A), and increased expression of a mucin (MUC1)-in critical disease. Mendelian randomization provides evidence in support of causal roles for myeloid cell adhesion molecules (SELE, ICAM5 and CD209) and the coagulation factor F8, all of which are potentially druggable targets. Our results are broadly consistent with a multi-component model of COVID-19 pathophysiology, in which at least two distinct mechanisms can predispose to life-threatening disease: failure to control viral replication; or an enhanced tendency towards pulmonary inflammation and intravascular coagulation. We show that comparison between cases of critical illness and population controls is highly efficient for the detection of therapeutically relevant mechanisms of disease