Results 41 to 50 of about 4,583 (244)

A Theoretical Treatment of Adsorption of Radon Gas on Charcoal.

Journal of Nuclear Science and Technology, 1997
The use of an activated charcoal sampler for radon monitoring has become popular in recent years because of its passiveness and low price. Dynamics of adsorption on a passive sampler have been described with theoretical models. However, extrapolation of the measured results of radon on charcoal to the diurnal fluctuations of the ambient radon ...
WANG, Ding, CHIANG, Hai-Pang, SHIAU, Yuo-Hsien, TSE, Wan-Sun, SKRABLE, Kenneth, LI, Kuang-Pang   +5 more
openaire   +1 more source

Smartphone‐Guided Visible Light Modulation of RSNOs for Antimicrobial Activity via Controlled Nitric Oxide Release

Advanced Science, EarlyView.
A light‐activated catheter insert combines antimicrobial blue light with nitric oxide release to generate complementary oxidative and nitrosative stress, producing potent broad‐spectrum antimicrobial activity. The approach achieves greater than 4‐log reductions in bacterial and fungal viability and significantly reduces Staphylococcus aureus ...
Alexander Bruckmann, Adam Brooks Goodman, Myddelton C. Parker, Mark Garren, Ji Eun Park, Chad Schmiedt, Hitesh Handa, Elizabeth J. Brisbois   +7 more
wiley   +1 more source

The Estimation of Radon Gas Annual Absorbed Dose in Rafsanjan and Anar Residents Based on Measurement of Radon Concentration Dissolved in Water

Iranian South Medical Journal, 2015
Background: The most important natural radioactive resource to which people are exposed is Radon gas. Radon gas produced deep in the earth enters into underground waters and dissolves in them. The Radon gas in water supplied for home uses enters the body
Ahmad Asadi Mohammad Abadi, Mojtaba Rahimi, Lila Jabbari koopaei   +2 more
doaj  

Asymmetric Structure‐Driven Functional Synergy: A Multistimuli‐Activated Janus Nanomotor for Self‐Amplifying NO Cascade Therapy

Advanced Science, EarlyView.
The Janus nanomotors leverage an “asymmetric structure‐driven functional synergy” strategy to orchestrate spatiotemporally coordinated catalytic functions, in situ self‐amplifying NO generation, and deep tumor penetration, thereby enabling controllable, sustained, and uniform NO generation within the tumor microenvironment.
Chengcheng Li, Yu Zhang, Yu Chen, Lingyun He, Xian Shen, Weijian Sun, Hongbo Zhang   +6 more
wiley   +1 more source

Measuring of 222Rn gas concentration and mapping in Al-Najaf soil samples [PDF]

E3S Web of Conferences
Lung cancer may be caused by extended exposure to high amounts of radon gas, with the estimated yearly effective dosage from inhaling the gas being around 55% of the natural public exposure dose rate.
Hussein Ibrahem Salar, Muhsin Hwail Hussam, Saeed Abd Ulshaheed Areej, Abid Abojassim Ali, Alasadi Lubna A.   +4 more
doaj   +1 more source

CXCL3 Antagonism Reverses Systemic Antitumor Immune Memory Impairment Associated With High Tumor Burden and Sensitizes Anti‐PD‐1 Therapy

Advanced Science, EarlyView.
This study reveals that large tumors secrete more chemokine CXCL3, which recruits immunosuppressive neutrophils to the periphery, thereby impairing the activation and memory of systemic tumor‑reactive CD8+ T cells. CXCL3 antagonism restores systemic immune memory and enhances the antitumor efficacy of anti‑PD‑1 therapy, offering a potential strategy to
Ji Wang, Xinyu Tang, Zeju Li, Qi Qi, Chang Sun, Wen Sun, Weiya Zhang, Yue Yin, Ya Deng, Peiwen Ling, Yifan Xu, Guangshun Sun, Yi Ren, Hong Pan, Shui Wang, Wenbin Zhou   +15 more
wiley   +1 more source

Controlled Laboratory Experiments on Radon Diffusion Coefficient

Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2019
Radon which occurs inuranium decay series is a noble gas and it moves from the deeper layers of theearth crust to the atmosphere. Formation of the radon gas in the Earth's crustand its migration to atmosphere are quite complex process because of too ...
Mutlu İçhedef
doaj   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

Indoor and soil radon measurements in the Hyblean Foreland (South-East Sicily)

Annals of Geophysics, 2007
Indoor radon behavior in two sites of SE Sicily was studied as a function of the soil radon concentration. The chosen locations were Ragusa and Modica towns, placed in the Hyblean Plateau (northern margin of the African Plate).
G. Alessandro, G. Patanè, D. Morelli, S. Lo Nigro, S. La Delfa, G. Immè, C. Antoci   +6 more
doaj   +1 more source