Results 31 to 40 of about 1,162,396 (285)

Examining the impact of green technological specialization and the integration of AI technologies on green innovation performance: evidence from China

open access: yesFrontiers in Artificial Intelligence
China's commitment to achieving carbon neutrality by 2060 has sparked scholars' interest in examining the environmental ramifications of green technologies in the digital era.
Sirinant Khunakornbodintr
doaj   +1 more source

Two-Loop Superstrings in Hyperelliptic Language III: the Four-Particle Amplitude [PDF]

open access: yes, 2003
We compute explicitly the four-particle amplitude in superstring theories by using the hyperelliptic language and the newly obtained chiral measure of D'Hoker and Phong. Although the algebra of the intermediate steps is a little bit involved, we obtain a
Wu, Jun-Bao   +2 more
core   +1 more source

The ubiquitin ligase RNF115 is required for the clearance of damaged lysosomes

open access: yesFEBS Letters, EarlyView.
Upon lysosomal rupture, an E3 ubiquitin ligase RNF115 translocates from the cytosol to the damaged lysosomal membrane. Moreover, RNF115 depletion impairs the clearance of damaged lysosomes, identifying it as a key regulator of lysosomal quality control.
Sae Nakanaga   +3 more
wiley   +1 more source

Harnessing AI for Green Innovation: The Role of Executive Cognition

open access: yesSystems
While AI is widely recognized as an industrial transformation catalyst, how AI translates into green innovation remains insufficiently understood.
Yutong Li, Ning Xu
doaj   +1 more source

Management of the Rice Tungro Virus Vector \u3ci\u3eNephotettix virescens\u3c/i\u3e (Homoptera: Cicadellidae) with Controlled-Release Formulations of Carbofuran [PDF]

open access: yes, 1984
Field trials were conducted in lowland flooded rice in the Philippines to evaluate a number of carbofuran controlled-release formulations in comparison with commercial formulations. The test formulations were based on a biodegradable matrix of pine kraft
Aquino, G. B.   +4 more
core   +1 more source

Data-Centric Green AI An Exploratory Empirical Study

open access: yes2022 International Conference on ICT for Sustainability (ICT4S), 2022
11 pages, 3 figures, 2 tables.
Verdecchia, Roberto   +5 more
openaire   +5 more sources

In vitro models of cancer‐associated fibroblast heterogeneity uncover subtype‐specific effects of CRISPR perturbations

open access: yesMolecular Oncology, EarlyView.
Development of therapies targeting cancer‐associated fibroblasts (CAFs) necessitates preclinical model systems that faithfully represent CAF–tumor biology. We established an in vitro coculture system of patient‐derived pancreatic CAFs and tumor cell lines and demonstrated its recapitulation of primary CAF–tumor biology with single‐cell transcriptomics ...
Elysia Saputra   +10 more
wiley   +1 more source

Transcriptional network analysis of PTEN‐protein‐deficient prostate tumors reveals robust stromal reprogramming and signs of senescent paracrine communication

open access: yesMolecular Oncology, EarlyView.
Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice   +16 more
wiley   +1 more source

Does Artificial Intelligence (AI) enhance green economy efficiency? The role of green finance, trade openness, and R&D investment

open access: yesHumanities & Social Sciences Communications
Marine fisheries constitute a crucial component of global green development, where artificial intelligence (AI) plays an essential role in enhancing green economic efficiency associated with marine fisheries.
Qiang Wang, Tingting Sun, Rongrong Li
doaj   +1 more source

Complexity of Splits Reconstruction for Low-Degree Trees [PDF]

open access: yes, 2010
Given a vertex-weighted tree T, the split of an edge xy in T is min{s_x(xy), s_y(xy)} where s_u(uv) is the sum of all weights of vertices that are closer to u than to v in T.
Gaspers, Serge   +3 more
core   +6 more sources

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