Lr parsing - Open Access .click

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Supervised learning of protein variant effects across large‐scale mutagenesis datasets

Protein Science, Volume 35, Issue 4, April 2026.
Abstract The increasing availability of data from multiplexed assays of variant effects (MAVEs) enables supervised model training against large quantities of experimental data to learn sequence‐function relationships. Variant effect scores from MAVEs can, however, be influenced by the experimental method and library composition, resulting in experiment‐
Thea K. Schulze +3 more
wiley +1 more source

Enhancing Electricity Price Prediction Accuracy With an Attention Mechanism‐LSTM Hybrid Model

Engineering Reports, Volume 8, Issue 3, March 2026.
This study proposes an ATT‐LSTM framework for short‐term electricity price forecasting, integrating meteorological data, historical prices, and system load. With careful preprocessing, feature engineering, and attention mechanisms, the model delivers accurate and interpretable predictions of price volatility.
Huidan Zhuo +6 more
wiley +1 more source

YOLO-SegNet: A Method for Individual Street Tree Segmentation Based on the Improved YOLOv8 and the SegFormer Network

Agriculture
In urban forest management, individual street tree segmentation is a fundamental method to obtain tree phenotypes, which is especially critical. Most existing tree image segmentation models have been evaluated on smaller datasets and lack experimental ...
Tingting Yang +4 more
doaj +1 more source

BiGraph‐DTA: Predicting drug–target interactions of hepatoprotective agents with graph convolutional networks

Quantitative Biology, Volume 14, Issue 1, March 2026.
Abstract Predicting drug–target affinity (DTA) is critical for discovering and developing hepatoprotective agents that can prevent and treat liver diseases. In this study, we propose BiGraph‐DTA, a new predictive model for identifying DTA score prediction for hepatoprotective compounds by combining graph convolutional networks and bidirectional long ...
Arief Sartono +4 more
wiley +1 more source

Associations between posttraumatic cognitions and cannabis cravings among trauma‐exposed individuals using cannabis

British Journal of Clinical Psychology, Volume 65, Issue 1, Page 250-266, March 2026.
Abstract Objective Trauma‐exposed individuals with posttraumatic stress disorder (PTSD) symptoms are at risk for problematic cannabis use. However, modifiable risk factors associated with cannabis use in this population are less clear. Posttraumatic cognitions (PTC; negative cognitions about the self, self‐blame, and negative cognitions about the world)
Regine M. Deguzman‐Lucero +3 more
wiley +1 more source

Impact of surgery and complications on GI recovery after SBO: Insights from the SnapSBO cohort

Colorectal Disease, Volume 28, Issue 3, March 2026.
Abstract Background Small bowel obstruction (SBO) is a common surgical emergency associated with impaired gastrointestinal (GI) function and prolonged recovery. The PRO‐diGI patient‐reported outcome measure (PROM) assesses patients' reports on key domains of appetite, nausea, bowel function, well‐being and overall GI function.
Matthew J. Lee +321 more
wiley +1 more source

SKALE: An Interpretable Multiscale Machine Learning Model for Decoding Phase‐Specific Protein Aggregation in Neurodegenerative Proteinopathies

Aggregate, Volume 7, Issue 2, February 2026.
Protein aggregation drives diverse degenerative diseases, yet its molecular origins are difficult to predict. SKALE uses interpretable machine learning to link sequence, structure, and dynamics, revealing how local structural weakening triggers aggregation.
Wei Xuan Wilson Loo +7 more
wiley +1 more source

The essence of LR parsing

Proceedings of the 1995 ACM SIGPLAN symposium on Partial evaluation and semantics-based program manipulation - PEPM '95, 1995
Partial evaluation can turn a general parser into a parser generator. The generated parsers surpass those produced by traditional parser generators in speed and compactness. We use an inherently functional approach to implement general LR(k) parsers and specialize them using the partial evaluator Similix.
Sperber, Michael, Thiemann, Peter
openaire +1 more source

Accelerate the Highly Efficient Development of mRNA Vaccines Through Advanced Computational Methods

MedComm, Volume 7, Issue 2, February 2026.
This review explores the recent advancements in applying computational methods to optimize mRNA vaccines, with a primary focus on improvements in sequence design and delivery systems. ABSTRACT mRNA medicine is an emerging therapeutic approach that utilizes messenger RNA to synthesize functional proteins directly within target cells.
Ruichu Gu +5 more
wiley +1 more source

Weak Physics‐Guided Multi‐Agent Learning for Surface to Subsurface Moisture Estimation Across Diverse Climate and Soil Conditions

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Estimating subsurface soil moisture remains challenging due to limited in situ observations and the complexity of soil water dynamics. Although surface soil moisture can be retrieved from satellites with high accuracy, deeper layers are not directly observable. Traditional physics‐based models that predict subsurface soil moisture require site‐
Abhilash Singh, Vidhi Singh, Kumar Gaurav +2 more
wiley +1 more source

parsing
theory of compilers and interpreters
formal languages and automata

grammars and rewriting systems
fos: computer and information sciences
cocke-younger-kasami cyk

16. peace & justice
deterministic finite state automata dfsa
look-ahead lr 1 lalr 1