Results 131 to 140 of about 972,067 (310)

Electroactive Metal–Organic Frameworks for Electrocatalysis

open access: yesAdvanced Functional Materials, EarlyView.
Electrocatalysis is crucial in sustainable energy conversion as it enables efficient chemical transformations. The review discusses how metal–organic frameworks can revolutionize this field by offering tailorable structures and active site tunability, enabling efficient and selective electrocatalytic processes.
Irena Senkovska   +7 more
wiley   +1 more source

Improving BERTScore for Machine Translation Evaluation Through Contrastive Learning

open access: yesIEEE Access
BERTScore is an automatic evaluation metric for machine translation. It calculates similarity scores between candidate and reference tokens through embeddings. The quality of embeddings is crucial, but embeddings of low-resource languages tend to be poor.
Gongbo Tang, Oreen Yousuf, Zeying Jin
doaj   +1 more source

Investigating Hallucination in Conversations for Low Resource Languages

open access: yesCoRR
Large Language Models (LLMs) have demonstrated remarkable proficiency in generating text that closely resemble human writing. However, they often generate factually incorrect statements, a problem typically referred to as 'hallucination'. Addressing hallucination is crucial for enhancing the reliability and effectiveness of LLMs.
Amit Das   +9 more
openaire   +2 more sources

Paracrine Factor Local Gradient‐Generating System for Engineering Perfusable Vascularized Hepatocyte Tissues with Perfusion‐Induced Proliferation

open access: yesAdvanced Healthcare Materials, EarlyView.
A paracrine factor local gradient (PFLG)‐generating system enables microvessel penetration across 3D hepatocyte tissues. The resulting vascularized constructs recapitulate hepatic sinusoidal hepatocyte—endothelial contact architecture and enhance hepatic functions in vitro.
Yen‐Hsiang Huang   +2 more
wiley   +1 more source

Translation of Unknown Words in Low Resource Languages. [PDF]

open access: yes, 2016
We address the problem of unknown words, also known as out of vocabulary (OOV) words, in machine translation of low resource languages. Our technique comprises a combination of methods, inspired by the common OOV types observed. We also design evaluation techniques for measuring coverage of OOVs achieved and integrate the new translation candidates in ...
Gujral, Biman   +2 more
openaire   +1 more source

Pivot Language for Low-Resource Machine Translation

open access: yesCoRR
7 pages, 3 figures, paper dated May 13 ...
Abhimanyu Talwar, Julien Laasri
openaire   +2 more sources

Optoelectrical Devices for Neural Interfacing: Engineering Integration, Stability, and Multimodal Sensing

open access: yesAdvanced Healthcare Materials, EarlyView.
Implantable optoelectrical devices are an effective resource for the modulation and monitoring of neural activity with high spatiotemporal resolution. This review discusses current challenges faced by these devices and outlines future perspectives for the development of next‐generation neural interfaces targeting chronic, multisite, and multimodal ...
Stella Aslanoglou   +4 more
wiley   +1 more source

Advancing automatic speech recognition for low-resource ghanaian languages: Audio datasets for Akan, Ewe, Dagbani, Dagaare, and IkposoScience Data Bank

open access: yesData in Brief
Audio datasets are fundamental to the development of automatic speech-recognition (ASR) systems. However, the availability of a large corpus of audio datasets in low-resource languages (LRLs) is limited. This study addresses this gap by introducing audio
Isaac Wiafe   +7 more
doaj   +1 more source

Smart Face Masks as Wearable Respiratory Sensors: A Review of Sensor Technologies, Materials, and Future Directions

open access: yesAdvanced Healthcare Materials, EarlyView.
This review highlights recent advances in smart face masks that actively monitor breathing. By integrating humidity, gas, temperature, pressure, strain, and triboelectric sensors, these masks track key respiratory parameters in real time. The article summarizes sensor mechanisms, compares performance across studies, and discusses challenges and future ...
Negin Faramarzi   +7 more
wiley   +1 more source

Recapitulating Endochondral Ossification for Bone Repair: From Development to Engineering Strategy

open access: yesAdvanced Healthcare Materials, EarlyView.
This review summarizes the developmental basis of endochondral ossification (ECO) and its applications in bone tissue engineering (BTE). It first outlines the key biological processes and signaling pathways underlying ECO, then discusses biomaterial‐based engineering strategies derived from these principles, and finally highlights future directions for
Yiqi Su   +8 more
wiley   +1 more source

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