Results 61 to 70 of about 3,140 (178)

Synergetic binary organocatalyzed ring opening polymerization for the precision synthesis of polysiloxanes

Communications Chemistry
Organocatalytic ring-opening polymerization (ROP) is a versatile method for synthesizing well-defined polymers with controlled molecular weights, dispersities, and nonlinear macromolecular architectures.
Hiroshi Okamoto, Atsushi Sogabe, Satoshi Honda   +2 more
doaj   +1 more source

Mirai: Autoregressive Visual Generation Needs Foresight

CoRR
Autoregressive (AR) visual generators model images as sequences of discrete tokens and are trained with a next-token likelihood objective. This strict causal supervision optimizes each step based only on the immediate next token, which can weaken global coherence and slow convergence.
Yonghao Yu, Lang Huang 0001, Zerun Wang, Runyi Li, Toshihiko Yamasaki   +4 more
openaire   +2 more sources

Rice EMF3 Alleles Adjust Flower Opening Time to Enhance the Seed Setting Rate Under High Temperature Stress

Plant Biotechnology Journal, Volume 24, Issue 8, Page 4780-4798, August 2026.
ABSTRACT To safeguard global food security against rapid population growth and a warming world, the effective genetic improvement of cereals is imperative. Flower opening time (FOT) critically affects the seed setting rate. In this study, we identified a gene, EARLY‐MORNING FLOWERING 3 (EMF3), in which single‐nucleotide substitutions strongly modulate ...
Takuma Ishizaki, Yoichi Hashida, Hideyuki Hirabayashi, Kazuhiro Sasaki, Hiroki Tokunaga, Eliza Vie M. Simon‐Ada, Masataka Wakayama, Toshiyuki Takai, Hiroki Saito, Atsushi J. Nagano, Hitoshi Sakakibara, Mikiko Kojima, Yumiko Takebayashi, Sung‐Ryul Kim, Ryo Matsushima, Michael J. Thomson, Kazuhiko Sugimoto, Ken‐Ichiro Hibara, Tsutomu Ishimaru   +18 more
wiley   +1 more source

Gamma-ray measurement for classification of fuel debris and waste [PDF]

EPJ Web of Conferences
The detection of prompt fission gamma-rays and Tl-208 decay gamma-rays, which are unique to nuclear materials, could be applied to sorting nuclear fuel debris and radioactive waste from the Fukushima Daiichi Nuclear Power Plant.
Shiba Tomooki, Okumura Keisuke, Tanaka Takahiro   +2 more
doaj   +1 more source

MIRAI: Evaluating LLM Agents for Event Forecasting

CoRR
Recent advancements in Large Language Models (LLMs) have empowered LLM agents to autonomously collect world information, over which to conduct reasoning to solve complex problems. Given this capability, increasing interests have been put into employing LLM agents for predicting international events, which can influence decision-making and shape policy ...
Chenchen Ye 0001, Ziniu Hu, Yihe Deng, Zijie Huang 0002, Mingyu Derek Ma, Yanqiao Zhu 0001, Wei Wang 0010   +6 more
openaire   +2 more sources

Gravitational effects on the hydrogen bond network of water and ionic solutions revealed by near infrared spectroscopy under simulated microgravity

Scientific Reports
The near-infrared spectra of ultrapure water and five types of ionic aqueous solutions were recorded under normal and simulated microgravity (
Mika Ishigaki, Koyo Koizumi, Kotomi Asano, Naoki Okamoto, Go Takehi, Riku Sasamoto, Masato Takeuchi, Roumiana Tsenkova, Mio Matsui, Aiko Nagamatsu, Mariko Egawa   +10 more
doaj   +1 more source

Development of a sustainable strategy for cultured fat production based on serum-free 3D culture of bovine adipose stem cells

Scientific Reports
Cultivated meat provides a sustainable and ethical alternative to traditional livestock production, addressing global challenges in meat demand and environmental impact.
Zongzhe Xuan, Qiuyue Peng, Mariia Borsuk, Rupali Prasad, Vladimir Zachar, Suman Kumar Das, Cristian Pablo Pennisi   +6 more
doaj   +1 more source

Changes in conditioned pain modulation using anti-Parkinson drugs in patients with Parkinson's disease

eNeurologicalSci
Objectives: Patients with Parkinson's disease (PD) highly complain of pain, probably due to the lowered pain threshold caused by dopamine deficiency. Nonetheless, only a few studies have investigated the effects of anti-PD medications on “pain inhibits ...
Eiichirou Urasaki, Yasushi Miyagi, Junji Kishimoto   +2 more
doaj   +1 more source

Artificial Intelligence-Powered Imaging Biomarker Based on Mammography for Breast Cancer Risk Prediction

Diagnostics
The purposes of this study were to develop an artificial intelligence (AI) model for future breast cancer risk prediction based on mammographic images, investigate the feasibility of the AI model, and compare the AI model, clinical statistical risk ...
Eun Kyung Park, Hyeonsoo Lee, Minjeong Kim, Taesoo Kim, Junha Kim, Ki Hwan Kim, Thijs Kooi, Yoosoo Chang, Seungho Ryu   +8 more
doaj   +1 more source

Are better AI algorithms for breast cancer detection also better at predicting risk? A paired case–control study

Breast Cancer Research
Background There is increasing evidence that artificial intelligence (AI) breast cancer risk evaluation tools using digital mammograms are highly informative for 1–6 years following a negative screening examination.
Ruggiero Santeramo, Celeste Damiani, Jiefei Wei, Giovanni Montana, Adam R. Brentnall   +4 more
doaj   +1 more source