Hasil untuk "physics.med-ph"

Niels Holten-Andersen, Matthew J. Harrington, H. Birkedal et al.

F. Zeng, Shafaqat Ali, Haitao Zhang et al.

Ying-hong Guan, Jun Ma, Xu-chun Li et al.

Junyan Han, K. Burgess

Congcong Shen, J. Xiong, Huayong Zhang et al.

G. Hofmann, J. Smith, K. Johnson et al.

The effect of Ocean Acidification (OA) on marine biota is quasi-predictable at best. While perturbation studies, in the form of incubations under elevated pCO2, reveal sensitivities and responses of individual species, one missing link in the OA story results from a chronic lack of pH data specific to a given species' natural habitat. Here, we present a compilation of continuous, high-resolution time series of upper ocean pH, collected using autonomous sensors, over a variety of ecosystems ranging from polar to tropical, open-ocean to coastal, kelp forest to coral reef. These observations reveal a continuum of month-long pH variability with standard deviations from 0.004 to 0.277 and ranges spanning 0.024 to 1.430 pH units. The nature of the observed variability was also highly site-dependent, with characteristic diel, semi-diurnal, and stochastic patterns of varying amplitudes. These biome-specific pH signatures disclose current levels of exposure to both high and low dissolved CO2, often demonstrating that resident organisms are already experiencing pH regimes that are not predicted until 2100. Our data provide a first step toward crystallizing the biophysical link between environmental history of pH exposure and physiological resilience of marine organisms to fluctuations in seawater CO2. Knowledge of this spatial and temporal variation in seawater chemistry allows us to improve the design of OA experiments: we can test organisms with a priori expectations of their tolerance guardrails, based on their natural range of exposure. Such hypothesis-testing will provide a deeper understanding of the effects of OA. Both intuitively simple to understand and powerfully informative, these and similar comparative time series can help guide management efforts to identify areas of marine habitat that can serve as refugia to acidification as well as areas that are particularly vulnerable to future ocean change.

G. Nicol, S. Leininger, C. Schleper et al.

Y. Al-Degs, M. El‐Barghouthi, A. El‐Sheikh et al.

K. Caldeira, M. Wickett, P. Duffy et al.

P. Gupta, K. Vermani, S. Garg

G. Helmlinger, F. Yuan, M. Dellian et al.

Kateryna Zhalnina, Raquel Dias, Patrícia Dörr de Quadros et al.

Chuanxi Wang, zhenzhu xu, Hao Cheng et al.

M. Koziolek, M. Grimm, D. Becker et al.

Christopher C. Deng, William L. A. Brooks, K. Abboud et al.

Paul-Emmanuel Sornette, Didier Sornette

We present Logic Workout, a novel training method based on radical dynamic instability combining rolling, deformation and spring instability on small fitballs. By exploiting the "reactive falling effect", it re-engages innate balance mechanisms and forces real-time motor corrections, leading to better joint control, coordination, and movement precision. Preliminary results from a cohort of 18 participants show complete resolution of chronic pain, enhanced functional mobility, and surprising improvements in strength and performance -- challenging the belief that instability training impairs power output. We hypothesise that, by harnessing maximal instability, Logic Workout activates deep neuromuscular pathways and improve rehabilitation outcomes, training efficiency, and athletic performance.

W. Guo, Chun-hua Lu, R. Orbach et al.

Špela Zupančič, Z. Lavrič, J. Kristl

Katherine M. Strickler, A. Fremier, C. Goldberg

R. Kanishka

Treating cancer is one of the most challenging task in medical sciences. Only limited types of cancer treatments are available as their study is still ongoing. The earlier therapies like radiotherapy with x-rays, chemotherapy are associated with lot of side-effects. One of the most desirable cancer treatment is using particle beam therapies. These therapies are quite less risky than other types of cancer and tumor treatments. In this paper we present the proton and carbon-12 ion beam simulation that can help in tumor and cancer treatment. We simulated the proton and carbon-12 ion beam in water and soft tissue using geant4 toolkit. The protons are observed to have much better energy deposition in the water and soft tissue than carbon-12 ion and gamma photon beams.