Most relevant results58 results in the last year.
Dual-Template-Directed Zero-Dimensional Bismuth Chlorides: Structures, Luminescence, Photoinduced Chromism, and Enhanced Proton Conductivity
Zero-dimensional (0D) hybrid organic–inorganic bismuth halides have attracted
immense scientific interest as promising candidates for lead-free materials. Here, by
using a typical solvothermal method, two mixed-cation-phase 0D hybrid bismuth …
immense scientific interest as promising candidates for lead-free materials. Here, by
using a typical solvothermal method, two mixed-cation-phase 0D hybrid bismuth …
Mechanical and hydraulic characteristics of unvegetated or vegetated loess soils amended with xanthan gum
With the development of western and central China, the increasing construction of
transportation infrastructures (eg, roads, railways, etc.) has been producing a large
number of man-made slopes in loess regions. Biopolymer as an eco-friendly …
transportation infrastructures (eg, roads, railways, etc.) has been producing a large
number of man-made slopes in loess regions. Biopolymer as an eco-friendly …
Adjuvant nivolumab, capecitabine or the combination in patients with residual triple-negative breast cancer: the OXEL randomized phase II study
Chemotherapy and immune checkpoint inhibitors have a role in the post-neoadjuvant
setting in patients with triple-negative breast cancer (TNBC). However, the effects of
nivolumab, a checkpoint inhibitor, capecitabine, or the combination in changing …
setting in patients with triple-negative breast cancer (TNBC). However, the effects of
nivolumab, a checkpoint inhibitor, capecitabine, or the combination in changing …
Manifesting the Carrier Behavior of a Vanadium Oxide/Carbon Composite Cathode in Aqueous Zinc-Ion Batteries
In the development of aqueous zinc-ion batteries (AZIBs), carbon materials have
received significant interest as supporting materials for vanadium-based oxides. To
improve the performance of AZIBs, in this study, amorphous V 2 O 5 embedded …
received significant interest as supporting materials for vanadium-based oxides. To
improve the performance of AZIBs, in this study, amorphous V 2 O 5 embedded …
Lpvit: Low-power semi-structured pruning for vision transformers
Vision transformers (ViTs) have emerged as a promising alternative to convolutional
neural networks (CNNs) for various image analysis tasks, offering comparable or
superior performance. However, one significant drawback of ViTs is their resource-intensive …
neural networks (CNNs) for various image analysis tasks, offering comparable or
superior performance. However, one significant drawback of ViTs is their resource-intensive …
Dose-response relationship between leisure-time physical activity patterns and phenotypic age acceleration in American adults: a cross-sectional analysis
Objectives With the accelerating global population aging, delaying aging and
promoting healthy aging have become focal points in public health and clinical
medicine. Phenotypic age acceleration (PhenoAgeAccel) is an important indicator of …
promoting healthy aging have become focal points in public health and clinical
medicine. Phenotypic age acceleration (PhenoAgeAccel) is an important indicator of …
Fabrication of small-diameter in situ tissue engineered vascular grafts with core/shell fibrous structure and a one-year evaluation via rat abdominal vessel replacement …
A high vascular patency was realized in the bulk or surface heparinized small-diameter
in situ tissue-engineered vascular grafts (TEVGs) via a rabbit carotid artery
replacement model in our previous studies. Those surface heparinized TEVGs could …
in situ tissue-engineered vascular grafts (TEVGs) via a rabbit carotid artery
replacement model in our previous studies. Those surface heparinized TEVGs could …
Design of Metal Aerogels‐Based 3D SERS Substrates by Gentle Compression
Metal aerogels (MAs) are emerging all‐nanometal‐structured self‐standing porous
materials featuring exceptional performances in diverse fields. They have recently
been adopted as 3D surface‐enhanced Raman scattering (SERS) substrates, while …
materials featuring exceptional performances in diverse fields. They have recently
been adopted as 3D surface‐enhanced Raman scattering (SERS) substrates, while …
Contrastive Learning with Transformer Initialization and Clustering Prior for Text Representation
Acquiring labeled data for learning sentence embeddings in Natural Language
Processing poses challenges due to limited availability and high costs. In order to
tackle this issue, we introduce a novel method called Contrastive Learning with …
Processing poses challenges due to limited availability and high costs. In order to
tackle this issue, we introduce a novel method called Contrastive Learning with …
Cell wall polysaccharides from Annona squamosa: Chemical and functional characterization
Several extraction methods were used to find out what the custard apple cell wall
polysaccharides were made of and how they were structured. These included water (WSP),
chelator (CSP), sodium carbonate (NSP), potassium hydroxide at 1 mol/L (KSH-1) …
polysaccharides were made of and how they were structured. These included water (WSP),
chelator (CSP), sodium carbonate (NSP), potassium hydroxide at 1 mol/L (KSH-1) …
8 results in the last month.
Theoretical and experimental investigation of BaY2 (MoO4) 4: xSm3+ phosphors
In this paper, the novel BaY 2 (MoO 4 ) 4 :xSm 3+ phosphors with strong red
emission and high thermal stabilization were prepared by a conventional method of
high temperature solid state reaction in air atmosphere. Morphology, phase purity …
emission and high thermal stabilization were prepared by a conventional method of
high temperature solid state reaction in air atmosphere. Morphology, phase purity …
An Efficient Two-Stage Block Preselection SRAM PUF Exploiting Data Remanence
… on Frequency Domain Characteristics of Electronic Handwritten Signature Based
on Fourier Transform Yuanyuan Guo, Nianfeng Sun, Xinwei Bian, Jianing Gao 1022
Segmentation and measurement of inner ear auditory nerve based on deep learning …
on Fourier Transform Yuanyuan Guo, Nianfeng Sun, Xinwei Bian, Jianing Gao 1022
Segmentation and measurement of inner ear auditory nerve based on deep learning …
Active Choice Nudge to Enhance Screening for Primary Aldosteronism: A Pilot Study Jesse Passman, MD, MPH, Jasmine Hwang, MD, Justin Tang, BS, Mika Epps …
Methods: A multidisciplinary team developed consensus guidelines for PA
screening and management. EHR-based tools were created to automatically identify
eligible patients. Baseline screening rate was calculated using descriptive statistics …
screening and management. EHR-based tools were created to automatically identify
eligible patients. Baseline screening rate was calculated using descriptive statistics …
Boosting electrode performance and bubble management via Direct Laser Interference Patterning
Laser-structuring techniques like Direct Laser Interference Patterning show great
potential for optimizing electrodes for water electrolysis. Therefore, a systematic
experimental study based on statistical design of experiments is performed to …
potential for optimizing electrodes for water electrolysis. Therefore, a systematic
experimental study based on statistical design of experiments is performed to …
Beyond 2: 4: exploring V: N: M sparsity for efficient transformer inference on GPUs
To date, 2:4 sparsity has stood as the only sparse pattern that can be accelerated
using sparse tensor cores on GPUs. In practice, 2:4 sparsity often possesses low
actual speedups ($\leq 1.3$) and requires fixed sparse ratios, meaning that other …
using sparse tensor cores on GPUs. In practice, 2:4 sparsity often possesses low
actual speedups ($\leq 1.3$) and requires fixed sparse ratios, meaning that other …
AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment
Motivated by the transformative capabilities of large language models (LLMs) across
various natural language tasks, there has been a growing demand to deploy these
models effectively across diverse real-world applications and platforms. However …
various natural language tasks, there has been a growing demand to deploy these
models effectively across diverse real-world applications and platforms. However …
DynaSplit: A Hardware-Software Co-Design Framework for Energy-Aware Inference on Edge
The deployment of ML models on edge devices is challenged by limited
computational resources and energy availability. While split computing enables the
decomposition of large neural networks (NNs) and allows partial computation on …
computational resources and energy availability. While split computing enables the
decomposition of large neural networks (NNs) and allows partial computation on …
TATAA: Programmable Mixed-Precision Transformer Acceleration with a Transformable Arithmetic Architecture
Modern transformer-based deep neural networks present unique technical
challenges for effective acceleration in real-world applications. Apart from the vast
amount of linear operations needed due to their sizes, modern transformer models …
challenges for effective acceleration in real-world applications. Apart from the vast
amount of linear operations needed due to their sizes, modern transformer models …