Results 101 to 110 of about 18,990 (308)

Approximation Algorithms for String Folding Problems [PDF]

, 2000
We present polynomial-time approximation algorithms for string folding problems over any finite alphabet. Our idea is the following: describe a class of feasible solutions by means of an ambiguous context-free grammar (i.e. there is a bijection between the set of parse trees and a subset of possible embeddings of the string); give a score to every ...
Giancarlo Mauri, Giulio Pavesi
openaire   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

OE Matching Algorithm for Searching Biological Sequences [PDF]

, 2009
String matching algorithms play a key role in many computer science problems, and in the implementation of computer software. This problem has received, and continues to receive a great deal of attention due to various applications in text ...
Osborne, Hugh, Klaib, Ahmad Fadel, Ahmad Fadel Klaib, Hugh Osborne, Klaib, Ahmad   +4 more
core   +1 more source

Dose‐Dependent Reprogramming of Chromatin Accessibility by SOX4 Drives the Transcriptional Response to Iron Overload

Advanced Science, EarlyView.
This study demonstrates that iron overload triggers widespread chromatin compaction and transcriptional repression in human granulosa cells, recapitulating features of endometriosis. The epigenetic reprogramming is orchestrated by a TFEB‐SOX4‐SWI/SNF axis, with SOX4 acting as a central, dosage‐sensitive regulator.
Feifei Li, Yaoqiu Wu, Guangyu Yang, Jingyi Lai, Xiaoyue Sun, Liyan Wang, Xiaoli Li, Jing Zhang, Qingxue Zhang, Hui Chen, Haiyan Lin, Bingxiang Xu, Junfeng Zhang, Hailong Wang, Anming Meng, Chunwei Cao   +15 more
wiley   +1 more source

Perfect hashing for strings: Formalization and Algorithms [PDF]

, 1996
Numbers and strings are two objects manipulated by most programs. Hashing has been well-studied for numbers and it has been effective in practice. In contrast, basic hashing issues for strings remain largely unexplored.
Martin Farach, S. Muthukrishnan
core  

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

On An Improved Parallel Construction Of Suffix Arrays For Low Bandwidth Pc-Cluster. [PDF]

, 2003
An algorithm for the parallel construction of suffix arrays generation for any texts with larger alphabet size on distributed memory architecture is ...
Md. Ali, Norhashidah, Abdul Rashid, Nur'Aini, Abdullah, Rosni, Kok, Jun Lee   +3 more
core  

Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks

Advanced Science, EarlyView.
A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu, Longfei Lv, Fan Zhang, Si Zhou, Weiwei Gao, Jijun Zhao   +5 more
wiley   +1 more source

New Algorithms for δγ-Order Preserving Matching

Ingeniería, 2018
Context: Order-preserving matching regards the relative order of strings. However, its application areas require more flexibility in the matching paradigm. We advance in this direction in this paper that extends our previous work [27]. Method: We define 
Juan Mendivelso, Rafael Niquefa, Yoan Pinzón, Germán Hernández   +3 more
doaj   +1 more source