Xiaomeng Han
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View article: Comparison of vonoprazan with different frequency Amoxicillin regimens in the treatment of Helicobacter pylori infections: A retrospective study
Comparison of vonoprazan with different frequency Amoxicillin regimens in the treatment of Helicobacter pylori infections: A retrospective study Open
This study aims to evaluate the efficacy of vonoprazan combined with amoxicillin (vonoprazan-amoxicillin [VA]) at the same dose but different administration frequencies in treating Helicobacter pylori (Helicobacter pylori [Hp]) infection. …
View article: Re-thinking Memory-Bound Limitations in CGRAs
Re-thinking Memory-Bound Limitations in CGRAs Open
Coarse-Grained Reconfigurable Arrays (CGRAs) are specialized accelerators commonly employed to boost performance in workloads with iterative structures. Existing research typically focuses on compiler or architecture optimizations aimed at…
View article: BBAL: A Bidirectional Block Floating Point-Based Quantisation Accelerator for Large Language Models
BBAL: A Bidirectional Block Floating Point-Based Quantisation Accelerator for Large Language Models Open
Large language models (LLMs), with their billions of parameters, pose substantial challenges for deployment on edge devices, straining both memory capacity and computational resources. Block Floating Point (BFP) quantisation reduces memory…
View article: Pushing the Limits of BFP on Narrow Precision LLM Inference
Pushing the Limits of BFP on Narrow Precision LLM Inference Open
The substantial computational and memory demands of Large Language Models (LLMs) hinder their deployment. Block Floating Point (BFP) has proven effective in accelerating linear operations, a cornerstone of LLM workloads. However, as sequen…
View article: A CT-based interpretable deep learning signature for predicting PD-L1 expression in bladder cancer: a two-center study
A CT-based interpretable deep learning signature for predicting PD-L1 expression in bladder cancer: a two-center study Open
Background To construct and assess a deep learning (DL) signature that employs computed tomography imaging to predict the expression status of programmed cell death ligand 1 in patients with bladder cancer (BCa). Methods This retrospective…
View article: NVR: Vector Runahead on NPUs for Sparse Memory Access
NVR: Vector Runahead on NPUs for Sparse Memory Access Open
Deep Neural Networks are increasingly leveraging sparsity to reduce the scaling up of model parameter size. However, reducing wall-clock time through sparsity and pruning remains challenging due to irregular memory access patterns, leading…
View article: Pushing the Limits of BFP on Narrow Precision LLM Inference
Pushing the Limits of BFP on Narrow Precision LLM Inference Open
The substantial computational and memory demands of Large Language Models (LLMs) hinder their deployment. Block Floating Point (BFP) has proven effective in accelerating linear operations, a cornerstone of LLM workloads. However, as sequen…
View article: Associations between novel anthropometric indices and the prevalence of gallstones among 6,848 adults: a cross-sectional study
Associations between novel anthropometric indices and the prevalence of gallstones among 6,848 adults: a cross-sectional study Open
Background Traditional anthropometric measures, including body mass index (BMI), are insufficient for evaluating gallstone risk. This study investigated the association between novel anthropometric indices and gallstone risk among 6,848 pa…
View article: Enhanced Sewage Sludge Disintegration and Nutrients Release by Catalytic Microbubbles Ozonation Using Sewage Sludge-Based Char as Catalyst
Enhanced Sewage Sludge Disintegration and Nutrients Release by Catalytic Microbubbles Ozonation Using Sewage Sludge-Based Char as Catalyst Open
Using microbubble ozonation (MO) technique to disintegrate sludge is a promising sludge treatment process. To enhance the lysis and reduction of sludge, the catalytic ozonation consisting of MO and sewage sludge derived char (SC) were comb…
View article: Effects of Understory Vegetation Heterogeneity on Soil Organic Carbon Components in Cunninghamia lanceolata Plantation
Effects of Understory Vegetation Heterogeneity on Soil Organic Carbon Components in Cunninghamia lanceolata Plantation Open
As one of the important factors affecting forest soil organic carbon stocks, the effect of understory vegetation types on soil organic carbon and its components was explored to provide a theoretical basis for understory vegetation manageme…
View article: Carotenoid-derived bioactive metabolites shape plant root architecture to adapt to the rhizospheric environments
Carotenoid-derived bioactive metabolites shape plant root architecture to adapt to the rhizospheric environments Open
Roots are important plant organs for the uptake of water and nutrient elements. Plant root development is finely regulated by endogenous signals and environmental cues, which shapes the root system architecture to optimize the plant growth…
View article: Pre-service teachers’ teaching motivation and perceptions of teacher morality in China
Pre-service teachers’ teaching motivation and perceptions of teacher morality in China Open
The study examines two types of pre-service teachers’ teaching motivation and perceptions of teacher morality in China through the following three research questions: (1) What are pre-service teachers’ teaching motivations and perceptions …
View article: Knowledge network capability and organizational innovation: Network position transition and ambidextrous innovative behaviors as mediators
Knowledge network capability and organizational innovation: Network position transition and ambidextrous innovative behaviors as mediators Open
In this study we examined the influence of knowledge network capability on organizational innovation. Drawing on organizational network theory and taking a knowledge-based view, we proposed ambidextrous innovation behavior and network posi…
View article: Luminance Prediction of Paper Model Surface Based on Non-Contact Measurement
Luminance Prediction of Paper Model Surface Based on Non-Contact Measurement Open
The overall appearance perception is affected by luminance perception accuracy and efficiency mostly. The surface luminance prediction correlated with surface angle and surface tone value was performed by measuring and modeling the paper m…
View article: Angle-Aware and Tone-Aware Luminosity Analysis for Paper Model Surface
Angle-Aware and Tone-Aware Luminosity Analysis for Paper Model Surface Open
Luminosity contributes to the paper model surface perception. It has a significant impact on the perception of colour and details. The main purpose of this paper is to study the reflection luminosity of paper model surface which can be of …
View article: A novel, easy and rapid method for constructing yeast two-hybrid vectors using In-Fusion technology
A novel, easy and rapid method for constructing yeast two-hybrid vectors using In-Fusion technology Open
Yeast two-hybrid systems are powerful tools for analyzing interactions between proteins. Vector construction is an essential step in yeast two-hybrid experiments, which require bait and prey plasmids. In this study, we modified the multipl…
View article: Extracting graphite sketch of the mural using Hyper-Spectral Imaging method
Extracting graphite sketch of the mural using Hyper-Spectral Imaging method Open
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