Microplastics in the environment: a critical overview on its fate, toxicity, implications, management, and bioremediation strategies
A Thacharodi, R Meenatchi, S Hassan…�- Journal of�…, 2024 - Elsevier
Microplastics are small plastic pieces ranging in size from 1μ to< 5 mm in diameter, are
water-soluble, and can be either primary as they are initially created in small sizes or�…
water-soluble, and can be either primary as they are initially created in small sizes or�…
New insights into microbial electrolysis cells (MEC) and microbial fuel cells (MFC) for simultaneous wastewater treatment and green fuel (hydrogen) generation
Hydrogen is the green fuel with higher eco-friendly and efficient vehicular fuel. In past
hydrogen gas is derived from non-renewable resources. In recent years renewable�…
hydrogen gas is derived from non-renewable resources. In recent years renewable�…
[HTML][HTML] Solving olympiad geometry without human demonstrations
Proving mathematical theorems at the olympiad level represents a notable milestone in
human-level automated reasoning,,–, owing to their reputed difficulty among the world's best�…
human-level automated reasoning,,–, owing to their reputed difficulty among the world's best�…
[HTML][HTML] A review of the influence of heat drying, alkaline treatment, and composting on biosolids characteristics and their impacts on nitrogen dynamics in biosolids�…
Q Le, GW Price�- Waste Management, 2024 - Elsevier
Application of biosolids to agricultural land has gained increasing attention due to their rich
nutrient content. There are a variety of treatment processes for converting sewage sludge to�…
nutrient content. There are a variety of treatment processes for converting sewage sludge to�…
Scaling instruction-finetuned language models
Finetuning language models on a collection of datasets phrased as instructions has been
shown to improve model performance and generalization to unseen tasks. In this paper we�…
shown to improve model performance and generalization to unseen tasks. In this paper we�…
Symbolic discovery of optimization algorithms
We present a method to formulate algorithm discovery as program search, and apply it to
discover optimization algorithms for deep neural network training. We leverage efficient�…
discover optimization algorithms for deep neural network training. We leverage efficient�…
Doremi: Optimizing data mixtures speeds up language model pretraining
The mixture proportions of pretraining data domains (eg, Wikipedia, books, web text) greatly
affect language model (LM) performance. In this paper, we propose Domain Reweighting�…
affect language model (LM) performance. In this paper, we propose Domain Reweighting�…
Self-discover: Large language models self-compose reasoning structures
We introduce SELF-DISCOVER, a general framework for LLMs to self-discover the task-
intrinsic reasoning structures to tackle complex reasoning problems that are challenging for�…
intrinsic reasoning structures to tackle complex reasoning problems that are challenging for�…
Tert-expressing cells contribute to salivary gland homeostasis and tissue regeneration after radiation therapy
L Guan, V Viswanathan, Y Jiang…�- Genes &�…, 2024 - genesdev.cshlp.org
Salivary gland homeostasis and regeneration after radiotherapy depend significantly on
progenitor cells. However, the lineage of submandibular gland (SMG) progenitor cells�…
progenitor cells. However, the lineage of submandibular gland (SMG) progenitor cells�…
American stories: A large-scale structured text dataset of historical us newspapers
Existing full text datasets of US public domain newspapers do not recognize the often
complex layouts of newspaper scans, and as a result the digitized content scrambles texts�…
complex layouts of newspaper scans, and as a result the digitized content scrambles texts�…