Xinran Wang
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View article: Comparative genomic analysis of five Eimeria spp. in rabbits provides insights into coccidian tissue tropism
Comparative genomic analysis of five Eimeria spp. in rabbits provides insights into coccidian tissue tropism Open
Eimeria spp. are common coccidian parasites of a wide range of vertebrates, causing diarrhoea, poor weight gain and significant mortality in domestic animals and birds. However, there is a paucity of genomic data on these important pathoge…
View article: BLH3 Regulates the ABA Pathway and Lignin Synthesis Under Salt Stress in Lilium pumilum
BLH3 Regulates the ABA Pathway and Lignin Synthesis Under Salt Stress in Lilium pumilum Open
BEL1-like homeodomain protein 3 (BLH3) plays a crucial role in plant development. However, its involvement in the salt stress response has not been studied. In this study, we investigated the molecular mechanism underlying the response of …
View article: The Plant Growth-Promoting Bacterium Bacillus cereus LpBc-47 Can Alleviate the Damage of Saline–Alkali Stress to Lilium pumilum
The Plant Growth-Promoting Bacterium Bacillus cereus LpBc-47 Can Alleviate the Damage of Saline–Alkali Stress to Lilium pumilum Open
Soil salinization severely impacts plant cultivation. Lilium pumilum (L. pumilum) exhibits tolerance to saline–alkali stresses. One Bacillus cereus strain, LpBc-47, possesses the ability of growth promotion and saline–alkali tolerance. The…
View article: Exploring Pathogenic Mutation in Allosteric Proteins: The Prediction and Beyond
Exploring Pathogenic Mutation in Allosteric Proteins: The Prediction and Beyond Open
View article: Optimizing Edge AI: A Comprehensive Survey on Data, Model, and System Strategies
Optimizing Edge AI: A Comprehensive Survey on Data, Model, and System Strategies Open
The emergence of 5G and edge computing hardware has brought about a significant shift in artificial intelligence, with edge AI becoming a crucial technology for enabling intelligent applications. With the growing amount of data generated a…
View article: Developing an Intelligent Cotton Fabric Label Via Self-Assembly of Purple Potato Anthocyanins for Monitoring the Quality of Pork Loin
Developing an Intelligent Cotton Fabric Label Via Self-Assembly of Purple Potato Anthocyanins for Monitoring the Quality of Pork Loin Open
View article: Effects of Task-based Language Teaching Approach on EFL Students’ Oral Performance-- Tested by Ismart Application
Effects of Task-based Language Teaching Approach on EFL Students’ Oral Performance-- Tested by Ismart Application Open
This study investigates the impact of task-based speaking activities on non-English major students and evaluates their perceptions regarding the usefulness of such activities. This study involved fifty-eight non-English major students enro…
View article: SegKAN: High-Resolution Medical Image Segmentation with Long-Distance Dependencies
SegKAN: High-Resolution Medical Image Segmentation with Long-Distance Dependencies Open
Hepatic vessels in computed tomography scans often suffer from image fragmentation and noise interference, making it difficult to maintain vessel integrity and posing significant challenges for vessel segmentation. To address this issue, w…
View article: From Simple to Professional: A Combinatorial Controllable Image Captioning Agent
From Simple to Professional: A Combinatorial Controllable Image Captioning Agent Open
The Controllable Image Captioning Agent (CapAgent) is an innovative system designed to bridge the gap between user simplicity and professional-level outputs in image captioning tasks. CapAgent automatically transforms user-provided simple …
View article: Detailed Object Description with Controllable Dimensions
Detailed Object Description with Controllable Dimensions Open
Object description plays an important role for visually impaired individuals to understand and compare the differences between objects. Recent multimodal large language models(MLLMs) exhibit powerful perceptual abilities and demonstrate im…
View article: Enhancing Text Annotation through Rationale-Driven Collaborative Few-Shot Prompting
Enhancing Text Annotation through Rationale-Driven Collaborative Few-Shot Prompting Open
The traditional data annotation process is often labor-intensive, time-consuming, and susceptible to human bias, which complicates the management of increasingly complex datasets. This study explores the potential of large language models …
View article: Evaluating Attribute Comprehension in Large Vision-Language Models
Evaluating Attribute Comprehension in Large Vision-Language Models Open
Currently, large vision-language models have gained promising progress on many downstream tasks. However, they still suffer many challenges in fine-grained visual understanding tasks, such as object attribute comprehension. Besides, there …
View article: Analysis of the Pet Companion Robot Market
Analysis of the Pet Companion Robot Market Open
Pet robot is a kind of intelligent device with artificial intelligence and mechanical technology. These robots provide a solution to the challenges of balancing work responsibilities and caring for pets, while also enhancing the interactio…
View article: Analysis of the Pet Companion Robot Market
Analysis of the Pet Companion Robot Market Open
Pet robot is a kind of intelligent device with artificial intelligence and mechanical technology. These robots provide a solution to the challenges of balancing work responsibilities and caring for pets, while also enhancing the interactio…
View article: Exploring Pathogenic Mutation in Allosteric Proteins: the Prediction and Beyond
Exploring Pathogenic Mutation in Allosteric Proteins: the Prediction and Beyond Open
Allosteric regulation that triggers the functional activity of a protein through conformational changes is an inherent function of the protein in numerous physiological and pathological scenarios. In the post-genomic era, a central challen…
View article: An Adversarial Single-Domain Generalization Network for Fault Diagnosis of Wind Turbine Gearboxes
An Adversarial Single-Domain Generalization Network for Fault Diagnosis of Wind Turbine Gearboxes Open
In deep learning-based fault diagnosis of the wind turbine gearbox, a commonly faced challenge is the domain shift caused by differing operational conditions. Traditional domain adaptation methods aim to learn transferable features from th…
View article: Dynamic Condition Adversarial Adaptation for Fault Diagnosis of Wind Turbine Gearbox
Dynamic Condition Adversarial Adaptation for Fault Diagnosis of Wind Turbine Gearbox Open
While deep learning has found widespread utility in gearbox fault diagnosis, its direct application to wind turbine gearboxes encounters significant hurdles. Disparities in data distribution across a spectrum of operating conditions for wi…
View article: Evaluation of Automated Breast Cancer Contour Propagation From Planning CT to Cone Beam CT Based on Deep Learning
Evaluation of Automated Breast Cancer Contour Propagation From Planning CT to Cone Beam CT Based on Deep Learning Open
View article: Deep Learning-Based Automatic Delineation of Target Volumes and Organs at Risk of Breast Cancer for On-Line Dosimetric Evaluation
Deep Learning-Based Automatic Delineation of Target Volumes and Organs at Risk of Breast Cancer for On-Line Dosimetric Evaluation Open