Results 61 to 70 of about 113,686 (210)

Massive expanding torus and fast outflow in planetary nebula NGC 6302

, 2007
We present interferometric observations of $^{12}$CO and $^{13}$CO $J$=2$-$1 emission from the butterfly-shaped, young planetary nebula NGC 6302. The high angular resolution and high sensitivity achieved in our observations allow us to resolve the nebula
Arancha Castro‐Carrizo, Bachiller R., Bohigas J., Dinh‐V‐Trung, , Flower D. R., Hoare M. G., Huggins P. J., Jeremy Lim, Pottasch S. R., Pottasch S. R., Sun Kwok, ValentIn Bujarrabal   +11 more
core   +1 more source

Cis‐ and Trans‐Regulatory Factors Independently Shape Phenotypic Heterogeneity of Retinitis Pigmentosa

Advanced Science, EarlyView.
A zebrafish model carrying an identical human RHO S334X allele reveals two independent genetic layers shaping retinitis pigmentosa (RP) severity: a protective 3‐bp cis‐regulatory insertion that attenuates transgene expression, and a dominant trans‐acting modifier that restores a severe phenotype.
Cong Cui, Kotone Nakagawa, Takumi Tateno, Ayaka Dan, Dexin Meng, Yoshihiro Omori, Soma Tomihara, Suzuri Okamoto, Shigeru Sato, Motokazu Tsujikawa   +9 more
wiley   +1 more source

Bioprinted Tumor Microenvironment Models Reveal Immune Evasion and Guide CAR‐NK Therapeutic Strategies

Advanced Science, EarlyView.
This study presents a 3D embedded bioprinting platform that recapitulates key stromal features of the tumor microenvironment using fibroblasts and lung‐derived ECM. The model enables functional assessment of CAR‐NK cells and provides a versatile tool to support the development of next‐generation immunotherapeutic strategies against solid tumors ...
Dahong Kim, Seona Jo, In‐Hwan Jang, Yu‐Jin Kim, Youngmee Jung, Junhyoung Ahn, Hyungjun Lim, Jae Jong Lee, Kangwon Lee, Tae‐Don Kim, Su A Park   +10 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Tunable Negative Thermal Expansion in Fe/Cr‐Substituted Nd2Co17 Compounds via Magnetoelastic Coupling

Advanced Science, EarlyView.
This study achieves anisotropic thermal expansion tuning in Nd2(Co1‐xFex)17‐yCry compounds via a magnetoelastic strategy. Variable‐temperature synchrotron X‐ray diffraction reveals that increased Fe content induces switchable lattice responses. Compositional control reduces the volume expansion coefficient αV by 20% (x═0.7) and modulates TC (442–625 K),
Jiayuan Li, Chenfei Qv, Haoran Tu, Qinfen Gu, Wayne D. Hutchison, Stewart J. Campbell, Zhenxiang Cheng, Wenquan Wang, Jianli Wang   +8 more
wiley   +1 more source

A Modular and Programmable Cas13d Platform for RNA Single Nucleotide Variant Detection

Advanced Science, EarlyView.
A scenario‐guided Cas13d platform enables configurable single nucleotide variant ribonucleic acid diagnostics through rule‐based guide design and ribonucleic acid binding domain engineering, supporting amplification‐free ultrasensitive detection and amplification‐coupled robust detection for accurate mutation classification in clinical tumor specimens.
Zeyu Wang, Jiahao Li, Zhuying Yue, Beixuan He, Wenhua Zhang, Zhen Fang, Qing Xia, Yingbin Liu, Yanjing Li   +8 more
wiley   +1 more source

The Mass Distribution of SDSS J1004+4112 Revisited

, 2010
We present a strong lens analysis of SDSS J1004+4112, a unique quasar lens produced by a massive cluster of galaxies at z=0.68, using a newly developed software for gravitational lensing.
Oguri, Masamune
core   +1 more source

INB3P: A Multi‐Modal and Interpretable Co‐Attention Framework Integrating Property‐Aware Explanations and Memory‐Bank Contrastive Fusion for Blood–Brain Barrier Penetrating Peptide Discovery

Advanced Science, EarlyView.
INB3P is a multimodal framework for blood–brain barrier‐penetrating peptide prediction under extreme data scarcity and class imbalance. By combining physicochemical‐guided augmentation, sequence–structure co‐attention, and imbalance‐aware optimization, it improves predictive performance and interpretability.
Jingwei Lv, Qianyang Wu, Jian Liu, Binlu Yang, Yuanhao Li, Junlin Xu, Yajie Meng, Leyi Wei, Zilong Zhang, Quan Zou, Xiulai Li, Feifei Cui   +11 more
wiley   +1 more source

Chandra survey in the AKARI North Ecliptic Pole Deep Field. I. X-ray data, point-like source catalog, sensitivity maps, and number counts

, 2014
We present data products from the 300 ks Chandra survey in the AKARI North Ecliptic Pole (NEP) deep field. This field has a unique set of 9-band infrared photometry covering 2-24 micron from the AKARI Infrared Camera, including mid-infrared (MIR) bands ...
Brunner, H., Goto, T., Hanami, H., Ishigaki, T., Krumpe, M., Malkan, M. A., Markowitz, A. G., Matsuhara, H., Miyaji, T., Pearson, C., Takagi, T., Ueda, Y., Wada, T.   +12 more
core   +1 more source

Integrating Radiomics and Computational Pathology to Predict Early Recurrence of Pancreatic Ductal Adenocarcinoma and Uncover Its Biological Basis in Tumor Microenvironment

Advanced Science, EarlyView.
Accurate prediction of early recurrence in pancreatic ductal adenocarcinoma is vital for optimizing treatment. A novel, integrated radiomics‐pathology machine learning model successfully forecasts recurrence risks by analyzing preoperative CT images and computational pathology.
Sihang Cheng, Fuze Cong, Shenbo Zhang, Rui Lv, Wenjia Zhang, Xinyi Ke, Juncheng Wu, Zhonghe Zhao, Kui Zhao, Di Dong, Ruofan Zhang, Zhengyu Jin, Max Seidensticker, Zhiwei Wang, Huanwen Wu, Xianlin Han, Nan Hong, Huadan Xue   +17 more
wiley   +1 more source