Nevertheless, it is feasible and has the potential to be developed to a nationwide database. Analysis of a trauma registry as early as six months can lead to useful information which has the potential for long term effects on the progress of trauma research and prevention. Acknowledgements We thank Trauma Services at Royal Perth Hospital,

Perth, WA, Australia for permission to modify and use their data collection forms. This study has been supported by grants from the United Arab Emirates University (Project # 01-07-8-11/03) and the Faculty of Medicine and Health Sciences, UAE University (NP/03/011). References 1. Krug EG, Sharma GK, Lozano R: The global burden of injuries. Am J Public Health 2000, 90:523–526.CrossRefPubMed 2. World Health Organization: [http://​www.​who.​int/​violence_​injury_​prevention/​publications/​road_​traffic/​world_​report/​en/​] 2004 World report on road PXD101 mouse traffic injury prevention 3. Fikri M, Noor AM, Shaheen H: Preventive NVP-HSP990 in vitro Medicine Department 1998 Annual Report. Ministry of Health, Abu-Dhabi, UAE 4. Schultz CR, Ford HR, Cassidy LD, et al.: Development of a hospital-based trauma registry in Haiti: an approach for improving injury surveillance in developing and resource-poor settings. J Trauma 2007, 63:1143–1154.CrossRefPubMed 5. Probst C, Paffrath T, Krettek C, et al.:

Comparative update on documentation of trauma in seven national registries. Eur J Trauma 2006, 32:357–365.CrossRef 6. Moore L, Clark D: The value of trauma registries. Injury 2008, 39:686–695.CrossRefPubMed 7. Nwomeh BC, Lowell W, Kable R, et al.: History and development of trauma registry: Lessons from developed to developing countries. World J Emerg Surg 2006, 1:32.CrossRefPubMed 8. Abu-Zidan FM, Lunsjo K, Shaban S, et al.: Establishment of a trauma registry: Experience

from UAE. ANZ J Surg 2005,75(Suppl):A111-A114. 9. Eid HO, Barss P, Adam SH, et al.: Factors affecting anatomical region of Injury, Severity, and Mortality for Road Trauma in a high-income developing country: lessons for Prevention. Injury 2009, 40:703–707.CrossRefPubMed 10. Eid HO, Lunsjo K, Torab FC, et al.: Pre-incident behavior and mechanism of injury in drivers involved in vehicle collisions in the UAE. ANZ J Surg 2008,78(Suppl 1):A143. Vorinostat chemical structure 11. Hefny A, Eid HO, Abu-Zidan FM: Severe Tire Blast Injuries during Servicing. Injury 2009, 40:484–487.CrossRefPubMed 12. Hefny A, Eid HO, Salim K, Abu-Zidan FM: Fatal Tire Blast Injury Causing Bowel Evisceration and Forearm Amputation. NZ Med J 2008.,121(1282): 13. Barss P, Addley K, Grivna M, et al.: Occupational injury in the United Arab Emirates: epidemiology and prevention. Occup Med (Lond) 2009, in press. 14. Cameron PA, Gabbe BJ, McNeil JJ, et al.: The trauma registry as a statewide quality improvement tool. J Trauma 2005, 59:1469–1476.CrossRefPubMed 15. Sanidas EE, Valassiadou KE, Kafetzakis AG, et al.

Treatments GANT61 order were delivered with 15 MV photon beam generated by a Clinac 2100 CD Varian accelerator, equipped with Millennium MLC (120 leaves). Toxicity evaluation Rectal toxicity was assessed using the Radiation Therapy Oncology Group (RTOG) scale [13], every six months for the first three years after the end of treatment and afterwards every year. The incidence of ≥ G2 late rectal toxicity as a function of time (months from the end of treatment) was evaluated by Kaplan-Meier curves using MedCalc software (Version 8.1.0.0, Mariakerke, Belgium). The log rank test was performed to establish if

any statistically significant difference exists between the two arms. Radiobiologic calculations Cumulative dose-volume histograms (DVHs) have been first evaluated for the two arms,

independently. Then, to compare the two different treatment schemes, DVHs for both arms have been corrected converting the physical dose in the i-th volume fraction to the biologically equivalent total dose normalized to the standard fraction of 2 Gy (NTD2), as described in appendix 1 (A.5). The Lyman-Burman-Kutcher (LKB) model was used to predict the NTCP for late rectal toxicity. The mTOR phosphorylation ≥ G2 late rectal toxicity was assumed as primary end point in the NTCP calculations. The original model parameters are n, m and TD50 and they determine the volume dependence of NTCP, the slope of NTCP vs. dose and the tolerance dose to the whole Telomerase organ leading to a 50% complication probability, respectively (appendix 1). The α/β parameter was then introduced in the model by the NTD2 to take into account for altered fractionaction schemes, as illustrated also by other authors [14, 15]. At first, the values n = 0.12, m = 0.15 estimated by Burman et al. [10] and the value TD50 = 80 Gy evaluated by Emami et al. [16] were involved in the calculation of the NTCP distributions for conventional and hypofractionated arms. To minimize

the deviation between the clinical and the predicted complication incidences, the best parameters estimation of the model was performed by the maximum likelihood method [17]. For binomially distributed data such as the NTCP data, the log-likelihood for the entire data set is given by: where N is the total number of patients, R i is equal to 1 for patients who did experience ≥ G2 late rectal toxicity or 0 for patients who did not. The optimization of all the four model parameters was initially run but, because of the large resulting 95% confidence intervals (CI) due to the limited number of patients experiencing ≥ G2 late toxicity, the results were not reported. Consequently, it was decided to reduce the number of degrees of freedom by keeping fix the n and m parameters at the original values proposed by Burman et al. [10].

Blood was collected via finger prick method for measurement of blood glucose and participants completed a second POMS questionnaire. Participants then mounted an electronically-braked cycle ergometer (Velotron, RacerMate Inc., Seattle, WA) and completed 3 Wingate Anaerobic Tests (WAnT) lasting 30 s each, and utilizing a resistance equal to ~7% body weight, with 2.5 min passive recovery between each test. Peak

power click here and mean power were recorded for each WAnT. After each WAnT, participants continued pedaling at a resistance level and cadence of their choice for 2.5 min. During all WAnT, participants were given strong verbal encouragement. Following the third WAnT, participants were given a short time (~15 min) to recover, towel off and have post-exercise weight measured before

reporting their session-RPE. Additionally, a 2-item Buparlisib questionnaire was administered to assess the difficulty of the exercise session compared to participants’ normal workouts and to assess their beliefs regarding whether drinking the assigned beverage improved their performance ability. Each question was assessed using a 100-mm visual analog scale. The same investigator collected and recorded all glucose concentrations but was not actively involved in the performance tests to minimize the risk of unblinding remaining investigators and participants to beverage identity since it was expected that CE would increase blood glucose levels. Beverage treatments For the experimental trials, participants received 1 of 3 treatments during the 60-min submaximal exercise

clonidine bout: water, a grape-flavored 6% carbohydrate-electrolyte (CE) beverage, or a non-caloric grape-flavored beverage containing electrolytes (NCE) and sweetened with sucralose and acesulfame potassium. Beverage treatments were administered to participants in 3 equal aliquots, chilled and in a tinted unmarked bottle at minutes 0, 20, and 40 during the 60-min submaximal cycling bout. Participants were instructed to consume all fluid within a 10–minute period from the time the beverage was received. The mean total beverage volume was 847 ± 368 mL and was equivalent to that participant’s sweat losses based on the familiarization trial. Study staff and participants were blinded to the caloric and non-caloric beverages but could not be blinded to water. Participants were informed that they would be receiving water and 2 sport beverages during the familiarization session when the purpose of the study was explained, but no other information regarding the beverages was provided. Additionally, participants were instructed not to discuss the characteristics of the beverages with other participants. Data analysis One-way repeated measures analysis of variance was used to analyze differences among beverage trials for WBGT, average HR, peak power for the first WAnT, mean power for the first WAnT , mean power averaged across all 3 WAnT, S-RPE, and post-exercise questionnaire items.

1997; Maddison and Maddison 2000). The resulting ITS data set was evaluated using two tree-building methodologies: the maximum parsimony (MP) criterion in PAUP* and the Bayesian criterion. Gaps were treated as missing data in all analyses. Maximum Parsimony analysis was performed using PAUP* 4.0b10 (Swofford 2004). One

thousand heuristic searches were conducted with random sequence addition and tree bisection-reconnection GANT61 chemical structure (TBR) branch-swapping algorithms, collapsing zero-length branches and saving all minimal-length trees (MulTrees). To measure relative support for the resulting clades, 500 bootstrap replications were performed with the same parameters as for the parsimony analyses (Felsenstein 1985). To test alternative phylogenetic relationships, the Bayesian analysis were performed using MCMC with Mr. Bayes V3.0b3 (Ronquist and Huelsenbeck 2003). Bayesian analyses were repeated 4.2 million generations and sampled every 100. The first 25% of generations were discarded as burn-in, and Bayesian posterior probabilities (PP) were then calculated from the posterior BIX 1294 concentration distribution of the retained Bayesian trees. Results Morphological

observations 115 putative Macrolepiota specimens were examined, and 87 specimens of Macrolepiota are cited in this paper. These examined specimens represent six Macrolepiota species of which two are new to science. The six recognized species are Macrolepiota detersa, M. dolichaula, M. mastoidea, M. orientiexcoriata, M. procera and M. velosa, and they will be described in detail in the taxonomy part. Some of the previous records of M. dolichaula and M. procera are misidentified in the literature and these will be addressed under the material examined part of each species. Molecular phylogenetic CYTH4 results Sequences generated in this study were deposited in GenBank with accession numbers from HM125507 through HM125532, and the GenBank accession numbers for ITS sequences are given with the lists of examined collections and in the phylogenetic tree (Fig. 1). The final alignment was deposited in TreeBASE (Study Accession URL: http://​purl.​org/​phylo/​treebase/​phylows/​study/​TB2:​S10499).

The alignment comprises of 72 Macrolepiota sequences, plus 2 species of Leucoagaricus Locq. ex Singer. Leucoagaricus barssii (Zeller) Vellinga and L. meleagris (Sowerby) Singer were designated as outgroup based on a more inclusive analysis of sequences of Agaricaceae (unpublished personal data). The aligned data set included 752 base pairs, of which 22 bases were ambiguous and were excluded in the analyses. Among the analyzed 730 base pairs, 482 are constant, 48 are variable parsimony-uninformative characters, and 200 variable parsimony informative characters were used to reconstruct the phylogeny. Maximum parsimony analysis resulted in 9 equally parsimonious trees with a tree length of 448 steps, CI = 0.730, RI = 0.947, HI = 0.270. Figure 1 shows one of the most parsimonious trees.

Finally, we assessed current calcium intake, which has been shown to be less predictive of BMC and BMD than that consumed during the teenage years. Future

studies that include women of different races/ethnicities are needed to clarify this issue. This study has several limitations. First, we used cross-sectional data to study changes over time, rather than longitudinal data. Investigating patterns of BMD gain and loss over a 15–20-year interval, however, would have considerable limitations, including subject attrition and the probable use of multiple bone densitometry machines and radiologic technicians over time. Second, we obtained data on calcium intake, amount of Doramapimod exercise, and age at menarche by retrospective self-report, which is subject to recall bias. Third, errors in recall regarding age at menarche may have affected our calculations of gynecological age. Finally, use of a single site could limit the generalizability of our findings. Most DXA manufacturers use data

collected on white females during the National Health and Nutrition Examination Survey III as a reference standard selleck inhibitor for calculation of the t score. Few data are available on healthy women of reproductive age. This study addresses this gap in the literature by providing data on young women 16–33 years of age from three different racial/ethnic groups. Although standards are machine specific, measurements reported in this study may be useful in the interpretation of bone densitometry

data in reproductive-aged women. These data Phospholipase D1 support the need for education regarding bone health during the early reproductive years. Initial steps may include education in the schools regarding timing of peak bone density and modifiable risk factors. In particular, young white girls and their families should be informed that peak bone density occurs at the hip by early adolescence and that weight-bearing exercise has a positive impact on bone health. By addressing this issue early in life, it may be possible to decrease the number of women affected by osteoporosis and subsequent fractures later in life. Conflicts of interest None. Open Access This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited. References 1. National Institutes of Health (2007) Osteoporosis Overview. Osteoporosis and Related Bone Diseases National Resource Center. http://​www.​niams.​nih.​gov/​Health_​Info/​Bone/​Osteoporosis/​default.​asp. Accessed May 13, 2008 2. Sabatier JP, Guaydier-Souquieres G, Benmalek A et al (1999) Evolution of lumbar bone mineral content during adolescence and adulthood: A longitudinal study in 395 healthy females 10–24 years of age and 206 premenopausal women. Osteoporos Int 9:476–482PubMedCrossRef 3.

.N, the solution of the above equation is as follows: (15) where and (16) By analogy, (17) where

and (18) It is easy to see, that . The field probability amplitudes can be obtained using the subsystem of Equation 4 of the full ‘conservative’ system of Equations 3 and 4. Therefore, substituting (15) and (17) into the Equation 4, and then taking into account the restrictions β α (0) = 0 for α = 1..N, we obtain that (19) and (20) where (21) Note, here, we neglected the possible space angle distribution for the direction of the resonant wave vector k. Inasmuch as cos(k ( r α – r δ )) = cos (kr α ) cos (kr δ ) + sin (kr α ) sin (kr δ ), then, after substitution of the found superpositions (15) and (17) into the initial Equation 12, we derive the following integrable differential equation: (22) Integrating the left and right sides of the equation above (22) over time yields (23) where (24) and (25) According www.selleckchem.com/products/kpt-330.html to the definition of the functions F c,s (t) (26) and (27) The solution of such linear first order differential equation, like (23), has the form: (28) The integration in the last expression can be performed, yielding (29) Therefore, (30) where (31) The initial condition β α (0) = 0, for α = 1..N, sets the coefficient C 0 equals 0. The initial time derivative can be determined, for example, if the system of Equation

3 from the initial ‘conservative’ full system of Equations 3 and 4 is chosen as a basis at the time moment t = 0. Then, the initial condition for the field state amplitude γ k (0) = 1, where k = k 0, sets the time derivative to the following Selleckchem Dactolisib expression: (32) Now, the question arises how to choose correctly the coefficients C and C ′. First of all, the choice has to satisfy the limitations on the probability amplitude, yielding Anidulafungin (LY303366) the corresponding probability limited above by unit (the sum of all the modules squared of the introduced amplitudes equals unit probability). Secondly, the solution with

the coefficients have to be consistent with the model decay (damping). We observe that, formally, when the real part of the variable Ω is a negative quantity, that is R e (Ω) < 0, the introduced functions H and f have the following limits for quite long time intervals: (33) (34) Then, (35) (36) (37) As for an open system, in our case, it should be expected for a quite long time interval the total electromagnetic energy of the atoms-field system to be emitted into the subsystem causing the state damping. Therefore, let us define the coefficients C and C ′ in the following manner: (38) and (39) Then, after substitution into the expressions for the time limits, one derive the logical finale of the system evolution: (40) (41) (42) The possible space configurations of the atomic system, satisfying the condition of ‘circularity’, can be easily found. For example, the set s3a1 (the notation ‘s3a1’ is just introduced here): , , and kr 3 = π. As an instance, it can also be the set s3a2: , , and .

0 V

GS-7977 when the wavelength of light source is 370 nm, while the current for the ZnS/ZnO device increases drastically to 18 μA under the same conditions [10]. At the same time, we note that the current of the ZnO/ZnS device is about one sixth of that of the ZnS/ZnO device, although it is higher than that of monolayer-based PDs [8]. Figure 1 Images of the ZnO hollow-sphere nanofilm and typical TEM image of a ZnO hollow sphere. (a) Side view of the ZnO hollow-sphere nanofilm deposited on Si (100)/SiO2. (b) Front view of the ZnO hollow-sphere nanofilm deposited on Si (100)/SiO2. (c) Typical TEM image of the ZnO hollow-sphere nanofilm. (d) Typical TEM image of a ZnO hollow sphere. Results and discussion The optical and electrical measurements provide insight into the photoconductive mechanism in ZnO/ZnS (or ZnS/ZnO) bilayer nanofilm devices, including the light absorption, the generation of free carriers, the charge transport, and the charge injection from metal contacts to the nanofilms. We note a remarkable enhancement in photocurrent for the bilayer nanofilm-based UV PDs, so we require a mechanism where the photogenerated charges are extracted from the devices not simply to produce the photocurrent

but instead cause some new changes in these devices which impel further free carriers to be generated and transported through the devices. Light absorption based on the WGM resonances in the hollow-sphere nanofilm could be the most Montelukast Sodium important factor. Light scattering by a dielectric GDC 0032 solubility dmso concentric hollow sphere has been studied previously and can be formally solved [18, 19]. To better understand the light-trapping effect, we performed 3D full-field FEM simulations for the hollow-sphere ZnO nanofilm structure to determine the expected light absorption based on the WGM resonances. The time average

power loss was calculated using the equation Q = cϵ 0 nα|E|2/2, where c is the speed of light in free space; ϵ 0 is the permittivity of free space; α is the absorption coefficient, with n being the real part of the complex refractive index; and E is the electric field. Figure 2 shows the amplitude of the WGM electric field pattern and the absorption power at 350 and 370 nm for the hollow-sphere ZnO nanofilm structure, respectively. Incident plane waves come from the top side with the electric field perpendicular to the paper plane and with an amplitude of 1 W. Figure 2 shows that most of the light is confined and guided along the shells instead of directly passing through the shells. The round shape of the shell forms a closed path for light and causes resonance at the given frequencies. The circulation of electromagnetic waves inside the nanoshell leads to the accumulation of electromagnetic energy inside the active material. Therefore, the resonant modes in the shells enhance light trapping and absorption and then photocurrent.

CrossRef 8. Carrino-Kyker SR, Swanson AK: Temporal and spatial patterns of eukaryotic and bacterial communities found in vernal pools. Appl Environ Microbiol 2008, 74:2554–2557.PubMedCrossRef 9. Carrino-Kyker SR, Swanson AK, Burke DJ: Changes in eukaryotic microbial communities of vernal pools along an urban–rural land use gradient. Aquat Microb Ecol 2011, 62:13–24.CrossRef 10. Philippot L, Hallin S: Molecular analyses of soil denitrifying bacteria. In Molecular

Techniques for Soil, Rhizosphere and Plant Microorganisms. Edited by: Cooper JE, Rao JR. Cambridge, MA: CAB International Publishing; 2006:146–165.CrossRef 11. Bothe H, Jost G, Schloter M, Ward BB, Witzel K-P: Molecular analysis of ammonia oxidation and denitrification in natural environments. FEMS Microbiol Rev 2000, 24:673–690.PubMedCrossRef 12. Kraft B, Strous M, Tegetmeyer HE: Microbial nitrate respiration – Genes, enzymes and environmental distribution. J Biotechnol 2011,

155:104–117.PubMedCrossRef Repotrectinib mw 13. Kandeler E, Brune T, Enowashu E, Dörr N, Guggenberger G, Lamersdorf SB525334 solubility dmso N, Philippot L: Response of total and nitrate-dissimilating bacteria to reduced N deposition in a spruce forest soil profile. FEMS Microbiol Ecol 2009, 67:444–454.PubMedCrossRef 14. Deiglmayr K, Philippot L, Kandeler E: Functional stability of the nitrate-reducing community in grassland soils towards high nitrate supply. Soil Biol Biochem 2006, 38:2980–2984.CrossRef 15. DeForest JL, Zak DR, Pregitzer KS, Burton AJ: Atmospheric Nitrate Deposition, Microbial Community Composition, and Enzyme Activitiy in Northern Hardwood Forests. Soil Sci Soc Am J 2004, 68:132–138. 16. Smemo KA, Zak DR, Pregitzer KS: Chronic NO 3 – deposition reduces the retention of fresh leaf litter-derived DOC in northern hardwood forests. Soil Biol Biochem 2006, 38:1340–1347.CrossRef 17. Carrino-Kyker SR, Smemo KA, Burke DJ: The effects of pH change and NO 3 – G protein-coupled receptor kinase pulse on microbial community structure and function: a vernal pool microcosm study. FEMS

Microbiol Ecol 2012, 81:660–672.PubMedCrossRef 18. Meyer F, Paarmann D, D’Souza M, Olson R, Glass EM, Kubal M, Paczian T, Rodriguez A, Stevens R, Wilke A: The metagenomics RAST server – a public resource for the automatic phylogenetic and functional analysis of metagenomes. BMC Bioinforma 2008, 9:386.CrossRef 19. Overbeek R, Begley T, Butler RM, Choudhuri JV, Chuang HY, Cohoon M, de Crécy-Lagard V, Diaz N, Disz T, Edwards R: The subsystems approach to genome annotation and its use in the project to annotate 1000 genomes. Nucleic Acids Res 2005, 33:5691–5702.PubMedCrossRef 20. Pfister CA, Meyer F, Antonopoulos DA: Metagenomic profiling of a microbial assemblage associated with the california mussel: a node in networks of carbon and nitrogen cycling. PLoS One 2010, 5:e10518.PubMedCrossRef 21. Varin T, Lovejoy C, Jungblut AD, Vincent WF, Corbeil J: Metagenomic analysis of stress genes in microbial Mat communities from antarctica and the high arctic. Appl Environ Microbiol 2012, 78:549–559.

Results and Discussion Saccharomyces cerevisiae cells undergo programmed cell death when they are cultured in media containing either 15% or 22% ethanol [33]. To determine if S. boulardii also undergoes PCD, we began by comparing the viabilities of both these strains in ethanol. While the W303α strain shows almost 50% viability after three hours suspended

in 22% ethanol, S. boulardii shows less than 10% viability after growth Belnacasan molecular weight in the same media (Figure 1). Our data suggests that S. boulardii is less viable in ethanol than this common laboratory strain of S. cerevisiae, which is not surprising given the adaptations of brewing yeast, S. cerevisiae, that allow it to undergo fermentation efficiently. (Note that after 3 hr, cells cultured in rich media without any

cell death inducing agents were able to grow and to divide, hence the relative viability levels that are greater than 100%). Figure 1 S. boulardii has decreased viability in ethanol, similar to S. cerevisiae. S. boulardii (Florastor) and S. cerevisiae (W303α) were cultured in rich YPD media overnight and resuspended in fresh media and allowed to reach exponential phase. They were then resuspended in fresh media or in fresh media containing 22% ethanol, allowed to grow at 30°C for the indicated times, serially diluted onto YPD plates, and cultured at 30°C for 2 days. Viability was measured as percentage colony forming units. At least three independent www.selleckchem.com/products/NVP-AUY922.html cultures were tested and compared. Note that after 3 hr, cells cultured in rich media without any cell death inducing agents were able to grow and to divide, hence the relative viability levels that are greater than 100%. The differences in viabilities were deemed

statistically significant by the Student’s t-test (p<0.05) Next, we examined the S. boulardii cells dying either in 15% or in 22% ethanol for markers indicative of PCD in yeast, including mitochondrial fragmentation, ROS accumulation, and caspase-like enzyme activation. As shown in Figure 2A, S. boulardii cells cultured in 15% ethanol for 1.5 hr had fragmented mitochondria – punctate fluorescence rather than the tubular fluorescence normally seen in wildtype yeast cells – as revealed by MitoTracker Green staining. Cells cultured in ethanol also accumulated Carteolol HCl ROS (Figure 2B) and manifested a caspase-like activity as measured by a FLICA assay (Figure 2C). Similar findings were obtained with S. boulardii cells cultured in 160 mM acetic acid (data not shown), another known inducer of PCD in S. cerevisiae [46, 47]. Together, these results suggest that Saccharomyces boulardii, like Saccharomyces cerevisiae, undergoes programmed cell death. Figure 2 Like S. cerevisiae, S. boulardii cells undergo programmed cell death in ethanol . S. Boulardii cells were cultured in rich YPD media overnight and resuspended in fresh media and allowed to reach exponential phase.

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in HIV-1-positive adults. J Acquir Immune Defic Syndr. 2013;63(4):449–55.PubMedCrossRef 71. King J, Aberg JA. Clinical impact of patient population differences and genomic variation in efavirenz therapy. AIDS. 2008;22:1709–17.PubMedCrossRef 72. Schmidt D, Kollan C, Fatkenheuer G et al. Proportion of transmitted and acquired HIV drug resistance in a long term observational cohort in Germany. In: 14th European AIDS conference. Brussels, Belgium, October 2013. PE9/11. http://​www.​eacs-conference2013.​com/​fileadmin/​templates/​eacs/​template_​FILES/​FINAL_​EACS13_​Final_​Program_​web.​pdf. Accessed Dec 2013. 73. Batmeyer B, Kuecherer C, Houareau C, et al. Prevalence of transmitted drug resistance and impact of transmitted resistance on treatment success in the German HIV-1 seroconverter cohort. PLoS ONE.