Yi Shang
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View article: Novel Compound Heterozygous Variants in the <scp> <i>TCTN2</i> </scp> Gene Causing Meckel–Gruber Syndrome 8 in a Non‐Consanguineous Chinese Family
Novel Compound Heterozygous Variants in the <span> <i>TCTN2</i> </span> Gene Causing Meckel–Gruber Syndrome 8 in a Non‐Consanguineous Chinese Family Open
Introduction Meckel‐Gruber syndrome (MKS, OMIM 24,900), also known as Meckel syndrome, is a rare and severe autosomal recessive disorder. The syndrome is typically characterized by a triad of occipital encephalocele, bilateral renal cystic…
View article: AURA: A Reinforcement Learning Framework for AI-Driven Adaptive Conversational Surveys
AURA: A Reinforcement Learning Framework for AI-Driven Adaptive Conversational Surveys Open
Conventional online surveys provide limited personalization, often resulting in low engagement and superficial responses. Although AI survey chatbots improve convenience, most are still reactive: they rely on fixed dialogue trees or static…
View article: A Data-Driven RetinaNet Model for Small Object Detection in Aerial Images
A Data-Driven RetinaNet Model for Small Object Detection in Aerial Images Open
In the realm of aerial imaging, the ability to detect small objects is pivotal for a myriad of applications, encompassing environmental surveillance, urban design, and crisis management. Leveraging RetinaNet, this work unveils DDR-Net: a d…
View article: RPKT: Learning What You Don't -- Know Recursive Prerequisite Knowledge Tracing in Conversational AI Tutors for Personalized Learning
RPKT: Learning What You Don't -- Know Recursive Prerequisite Knowledge Tracing in Conversational AI Tutors for Personalized Learning Open
Educational systems often assume learners can identify their knowledge gaps, yet research consistently shows that students struggle to recognize what they don't know they need to learn-the "unknown unknowns" problem. This paper presents a …
View article: New Methods for Waterfowl and Habitat Survey Using AI and Drone Imagery
New Methods for Waterfowl and Habitat Survey Using AI and Drone Imagery Open
Monitoring waterfowl populations is essential for informing habitat management, conservation strategies, and sustainable harvest regulations. Many target species such as mallards and northern pintails are keystone components of wetland eco…
View article: Reduced Functional Connectivity in Nucleus Accumbens Subregions Associates With Cognitive Changes in Alzheimer's Disease
Reduced Functional Connectivity in Nucleus Accumbens Subregions Associates With Cognitive Changes in Alzheimer's Disease Open
Background and Purpose The nucleus accumbens (NAc), an important component of the reward circuit, is believed to play an indispensable role in Alzheimer's disease (AD). This study aimed to explore alterations in the functional connectivity…
View article: Uncertainty-output virtual power plant participates in multi-electricity market considering the improved Shapley value distribution method
Uncertainty-output virtual power plant participates in multi-electricity market considering the improved Shapley value distribution method Open
The trading mechanism for virtual power plants to participate in the electricity market is imperfect, accompanied by uncertain output of distributed energy resources, and has difficulty in achieving reasonable profit distribution. This stu…
View article: Improved Path Planning and Controller Design Based on PRM
Improved Path Planning and Controller Design Based on PRM Open
This paper introduces the application of the Probabilistic Road Map (PRM) method in path planning and designs a path tracking controller based on the Lyapunov function. To enhance the smoothness of the paths generated by the PRM, Bézier cu…
View article: EMNet: A Novel Few-Shot Image Classification Model with Enhanced Self-Correlation Attention and Multi-Branch Joint Module
EMNet: A Novel Few-Shot Image Classification Model with Enhanced Self-Correlation Attention and Multi-Branch Joint Module Open
In this research, inspired by the principles of biological visual attention mechanisms and swarm intelligence found in nature, we present an Enhanced Self-Correlation Attention and Multi-Branch Joint Module Network (EMNet), a novel model f…
View article: Improving Text Classification on Small-Sized, Imbalanced Datasets with Selective Few-Random-Shot Augmentation
Improving Text Classification on Small-Sized, Imbalanced Datasets with Selective Few-Random-Shot Augmentation Open
View article: Strategies for perioperative hypothermia management: advances in warming techniques and clinical implications: a narrative review
Strategies for perioperative hypothermia management: advances in warming techniques and clinical implications: a narrative review Open
Perioperative hypothermia is a frequent clinical complication resulting from the cold environment of the operating room and prolonged skin exposure, leading to adverse outcomes and increased healthcare burdens. To address this issue, this …
View article: Decoding Linguistic Nuances in Mental Health Text Classification Using Expressive Narrative Stories
Decoding Linguistic Nuances in Mental Health Text Classification Using Expressive Narrative Stories Open
Recent advancements in NLP have spurred significant interest in analyzing social media text data for identifying linguistic features indicative of mental health issues. However, the domain of Expressive Narrative Stories (ENS)-deeply perso…
View article: SouLLMate: An Application Enhancing Diverse Mental Health Support with Adaptive LLMs, Prompt Engineering, and RAG Techniques
SouLLMate: An Application Enhancing Diverse Mental Health Support with Adaptive LLMs, Prompt Engineering, and RAG Techniques Open
Mental health issues significantly impact individuals' daily lives, yet many do not receive the help they need even with available online resources. This study aims to provide diverse, accessible, stigma-free, personalized, and real-time m…
View article: SouLLMate: An Adaptive LLM-Driven System for Advanced Mental Health Support and Assessment, Based on a Systematic Application Survey
SouLLMate: An Adaptive LLM-Driven System for Advanced Mental Health Support and Assessment, Based on a Systematic Application Survey Open
Mental health issues significantly impact individuals' daily lives, yet many do not receive the help they need even with available online resources. This study aims to provide accessible, stigma-free, personalized, and real-time mental hea…
View article: Advancing Mental Health Pre-Screening: A New Custom GPT for Psychological Distress Assessment
Advancing Mental Health Pre-Screening: A New Custom GPT for Psychological Distress Assessment Open
This study introduces 'Psycho Analyst', a custom GPT model based on OpenAI's GPT-4, optimized for pre-screening mental health disorders. Enhanced with DSM-5, PHQ-8, detailed data descriptions, and extensive training data, the model adeptly…
View article: Reduced functional connectivity in nucleus accumbens subregions associates with the changes of reward circuit in Alzheimer's Disease
Reduced functional connectivity in nucleus accumbens subregions associates with the changes of reward circuit in Alzheimer's Disease Open
To explore the alterations in the functional connectivity (FC) of subregions of nucleus accumbens (NAc) in Alzheimer's disease (AD) and explore their association with clinical cognitive scores. 45 AD patients (57–89 years old) and 41 age -…
View article: Deep Learning Models for Waterfowl Detection and Classification in Aerial Images
Deep Learning Models for Waterfowl Detection and Classification in Aerial Images Open
Waterfowl populations monitoring is essential for wetland conservation. Lately, deep learning techniques have shown promising advancements in detecting waterfowl in aerial images. In this paper, we present performance evaluation of several…
View article: Detection Probability and Bias in Machine-Learning-Based Unoccupied Aerial System Non-Breeding Waterfowl Surveys
Detection Probability and Bias in Machine-Learning-Based Unoccupied Aerial System Non-Breeding Waterfowl Surveys Open
Unoccupied aerial systems (UASs) may provide cheaper, safer, and more accurate and precise alternatives to traditional waterfowl survey techniques while also reducing disturbance to waterfowl. We evaluated availability and perception bias …
View article: A Framework of Virtual Power Plants Participate in Multi-Electricity Market Considering Uncertain Output and Profit Distribution
A Framework of Virtual Power Plants Participate in Multi-Electricity Market Considering Uncertain Output and Profit Distribution Open
View article: Building a Stronger Case for Independent Reading at School
Building a Stronger Case for Independent Reading at School Open
The effectiveness of incorporating independent reading practice in schools has long been a subject of uncertainty. To shed light on this ongoing debate, this meta-analysis seeks to investigate the impact of in-school independent reading on…
View article: Predicting quantity of cannabis smoked in daily life: An exploratory study using machine learning
Predicting quantity of cannabis smoked in daily life: An exploratory study using machine learning Open
View article: Preoperative predicting invasiveness of lung adenocarcinoma manifesting as ground-glass nodules based on multimodal images of dual-layer spectral detector CT radiomics models
Preoperative predicting invasiveness of lung adenocarcinoma manifesting as ground-glass nodules based on multimodal images of dual-layer spectral detector CT radiomics models Open
View article: Activation of beta-adrenergic receptors upregulates the signal-to-noise ratio of auditory input in the medial prefrontal cortex and mediates auditory fear conditioning
Activation of beta-adrenergic receptors upregulates the signal-to-noise ratio of auditory input in the medial prefrontal cortex and mediates auditory fear conditioning Open
Background: Norepinephrine (NE) is involved in auditory fear conditioning (AFC) in posttraumatic stress disorder (PTSD). However, it is still unclear how it acts on neurons. Objective: We aimed to investigate whether the activation of the …
View article: An Artificial Intelligent Methodology-based Bayesian Belief Networks Constructing for Big Data Economic Indicators Prediction
An Artificial Intelligent Methodology-based Bayesian Belief Networks Constructing for Big Data Economic Indicators Prediction Open
Economic indicator prediction in big data requires treating all random variables as an independent set of selective values and used as a discriminative method for classification tasks. A Bayesian network is a popular graphical representati…
View article: Predicting China's Maize Yield Using Multi-Source Datasets and Machine Learning Algorithms
Predicting China's Maize Yield Using Multi-Source Datasets and Machine Learning Algorithms Open
View article: Analysis on the ecological impact of the Xiaolangdi Reservoir on the Yellow River Delta wetland and coastal areas
Analysis on the ecological impact of the Xiaolangdi Reservoir on the Yellow River Delta wetland and coastal areas Open
An environmental water supplement through reservoir regulation is an important way to restore the deltaic coastal wetland. In order to quantify the impact of the reservoir on the deltaic coastal wetland ecosystem, this article proposes a q…
View article: Facile Synthesis of Hierarchical CoSeO3‧2H2O Nanoflowers Assembled by Nanosheets as a Novel Anode Material for High-Performance Lithium-Ion Batteries
Facile Synthesis of Hierarchical CoSeO3‧2H2O Nanoflowers Assembled by Nanosheets as a Novel Anode Material for High-Performance Lithium-Ion Batteries Open
As novel anodic materials for lithium-ion batteries (LIBs), transitional metal selenites can transform into metal oxide/selenide heterostructures in the first cycle, which helps to enhance the Li+ storage performance, especially in terms o…
View article: Transformer for Tree Counting in Aerial Images
Transformer for Tree Counting in Aerial Images Open
The number of trees and their spatial distribution are key information for forest management. In recent years, deep learning-based approaches have been proposed and shown promising results in lowering the expensive labor cost of a forest i…
View article: Slightly Enhanced Drought in the Yellow River Basin Under Future Warming Scenarios
Slightly Enhanced Drought in the Yellow River Basin Under Future Warming Scenarios Open
View article: Gout of feet and ankles in different disease durations: diagnostic value of single-source DECT and evaluation of urate deposition with a novel semi-quantitative DECT scoring system
Gout of feet and ankles in different disease durations: diagnostic value of single-source DECT and evaluation of urate deposition with a novel semi-quantitative DECT scoring system Open