Results 131 to 140 of about 972,067 (310)
Electroactive Metal–Organic Frameworks for Electrocatalysis
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
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
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
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]
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
7 pages, 3 figures, paper dated May 13 ...
Abhimanyu Talwar, Julien Laasri
openaire +2 more sources
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
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
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
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

