Results 111 to 120 of about 74,923 (292)

Localisation and linguistic anomalies [PDF]

open access: yes, 2001
Interactive systems may seek to accommodate users whose first language is not English. Usually, this entails a focus on translation and related features of localisation. While such motivation is worthy, the results are often less than ideal.
Lepouras, G., Weir, G.R.S.
core  

Bamboo Medical Application: A State‐of‐the‐Art Review

open access: yesAdvanced Materials Technologies, EarlyView.
This review presents a structured classification of bamboo's current use in healthcare. It organizes applications into medical textiles and medical devices, with further divisions based on function and level of invasiveness. It also examines material utilization based on bamboo's structural role, highlighting how it supports both protective and ...
Haymanot Beza Lamesgin   +3 more
wiley   +1 more source

Causal categorization of animal diseases’ English terminological system

open access: yesStudia Humanitatis, 2021
The article describes the study of the causal categorization in the English terminological system of animal diseases. The studied category is widely represented in veterinary terminology, since it is one of the basic categories that classify animal ...
Rozhkov Yuriy Hryhorevych
doaj  

Boosting terminology extraction through crosslingual resources [PDF]

open access: yes, 2014
Terminology Extraction is an important Natural Language Processing task with multiple applications in many areas. The task has been approached from different points of view using different techniques.
Cajal Mariñosa, Sergio   +1 more
core   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

open access: yesAdvanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

ТЕРМІНОСИСТЕМА ФАХОВОЇ МОВИ СТАЛОГО РОЗВИТКУ ТА ЇЇ ОСОБЛИВОСТІ. (Terms system of the professional language stable developing and peculiarities.) [PDF]

open access: yes, 2014
У статті описано новостворену терміносистему фахової мови сталого розвитку у зв’язку з його виокремленням як окремого напрямку міждисциплінарних наукових досліджень.
Горбатюк, O. (O. Horbatiuk)   +1 more
core  

Anti‐PD‐1 Nanobody‐Armored MSLN CAR‐T Therapy for Malignant Mesothelioma: Preclinical and Clinical Studies

open access: yesAdvanced Science, EarlyView.
A novel therapy using engineered immune cells (NAC‐T cells) showed promise for refractory malignant mesothelioma. Based on the encouraging preclinical data, the first‐in‐human trial is initiated, demonstrating tolerable safety and promising anti‐tumor activity (ORR 63.6%, DCR 100%, including one CR).
Yan Sun   +23 more
wiley   +1 more source

The emergence of information systems: a communication-based theory [PDF]

open access: yes, 2010
An information system is more than just the information technology; it is the system that emerges from the complex interactions and relationships between the information technology and the organization.
Holten, Roland, Rosenkranz, Christoph
core   +1 more source

Hierarchical Artificial Muscle with Nonlinear Elasticity for Antagonistic and Cyclic Robotics

open access: yesAdvanced Science, EarlyView.
We construct hierarchical muscles by plying nylon fibers around a heating wire. The hierarchical muscle shows a J‐shaped passive curve, which shows benefit in antagonistic muscle pair and work accumulation mechanism. We also develop a computational, first‐principle model to understand the physics of both active actuation stroke and passive J‐curve ...
Samuel Tsai   +15 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu   +4 more
wiley   +1 more source

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