Results 131 to 140 of about 276,101 (306)

Versatile Cell Penetrating Peptide for Multimodal CRISPR Gene Editing in Primary Stem Cells

open access: yesAdvanced Functional Materials, EarlyView.
CRISPR machinery in diverse molecular formats (DNA, RNA, and ribonucleic protein) is complexed into nanoparticles with the cell‐friendly arginine‐alanine‐leucine‐alanine (RALA) cell‐penetrating peptide. Nanoparticles are delivered to primary mesenchymal stem cells ex vivo or locally in vivo to facilitate multimodal CRISPR gene editing. This RALA‐CRISPR
Joshua P. Graham   +9 more
wiley   +1 more source

Eco‐Fabricated Nanowave‐Textured Implants Drive Microtubule‐Assisted Nuclear Mechanotransduction and Chromatin Modification: Biophysical Priming for Osteogenesis and Bone Regeneration

open access: yesAdvanced Functional Materials, EarlyView.
Eco‐friendly nanowave‐textured implants produced via femtosecond laser fabrication enhance bone regeneration by orchestrating a precise mechanotransduction cascade. This nanotopography directs mesenchymal stem cell alignment and cytoskeletal organization, triggering changes in nuclear shape and chromatin acetylation that prime cells for osteogenesis ...
Bosu Jeong   +15 more
wiley   +1 more source

Evaluating Fidelity of Persian-English Sentence-Aligned Parallel Corpus

open access: yesInternational Journal of Information and Communication Technology Research, 2013
Bilingual corpus is one of the most important resources for Natural Language Processing applications and researches. The quality of bilingual corpora can influence the result of researches that used it as a resource.
Masoomeh Mashayekhi, Morteza Analoui
doaj  

F-structure transfer-based statistical machine translation [PDF]

open access: yes, 2009
In this paper, we describe a statistical deep syntactic transfer decoder that is trained fully automatically on parsed bilingual corpora. Deep syntactic transfer rules are induced automatically from the f-structures of a LFG parsed bitext corpus by ...
Bryl, Anton   +2 more
core  

Enhancing CoFe Catalysts with V2CTX MXene‐Derived Materials for Anion Exchange Membrane Electrolyzers

open access: yesAdvanced Functional Materials, EarlyView.
MXene dervied CoFe composites show increased initial Oxygen Evolution Reaction (OER) activity compared to the pure CoFe and MXene in an Anion Exchange Membrane device. Vanadium vacancies in the MXene plays a role in increased OER activity and hinders Fe leaching in the AEM device over using the pure V2C MXene as a support material for the CoFe ...
Can Kaplan   +16 more
wiley   +1 more source

Using Synchronous TAG for Source-Side Reordering in SMT

open access: yesInternational Journal of Information and Communication Technology Research, 2013
Recent efforts in machine translation try to enrich statistical methods by syntactic information of source and target languages. In this paper we present a hybrid machine translator, which combines rule-based and statistical models in a serial manner ...
Amin Mansouri   +3 more
doaj  

Comparison of Grammar Characteristics of Human-Written Corpora and Machine-Generated Texts Using a Novel Rule-Based Parser

open access: yesInformation
As the prevalence of machine-written texts grows, it has become increasingly important to distinguish between human- and machine-generated content, especially when such texts are not explicitly labeled.
Simon Strübbe   +2 more
doaj   +1 more source

Adalimumab‐Poloxamer Conjugate for Bio‐Better: Enhanced Stability and Function

open access: yesAdvanced Functional Materials, EarlyView.
Antibody‐polymer conjugates, particularly poloxamer conjugates, enhance antibody stability by improving tolerance to physicochemical stress and attenuating proteolysis by proteases. Furthermore, the higher affinity observed with poloxamer conjugation compared to standard PEGylation results in improved therapeutic efficacy in rheumatoid arthritis mouse ...
Jaewon Roh   +3 more
wiley   +1 more source

Machine Translation Performance for Low-Resource Languages: A Systematic Literature Review

open access: yesIEEE Access
Machine translation (MT) for low-resource languages continues to face significant challenges because of limited digital resources and parallel corpora, despite remarkable developments in neural machine translation (NMT).
Taofik O. Tafa   +8 more
doaj   +1 more source

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