Hang Yu
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View article: Enhanced Treatment of Swine Farm Wastewater Using an O3/Fe2+/H2O2 Process: Optimization and Performance Evaluation via Response Surface Methodology
Enhanced Treatment of Swine Farm Wastewater Using an O3/Fe2+/H2O2 Process: Optimization and Performance Evaluation via Response Surface Methodology Open
Biologically treated swine farm wastewater still contains high levels of refractory organics, humic substances and antibiotic residues, posing environmental risks and limiting opportunities for water reuse. Wastewater treatment by ozonatio…
View article: Research on Multi-Path Feature Fusion Manchu Recognition Based on Swin Transformer
Research on Multi-Path Feature Fusion Manchu Recognition Based on Swin Transformer Open
Recognizing Manchu words can be challenging due to their complex character variations, subtle differences between similar characters, and homographic polysemy. Most studies rely on character segmentation techniques for character recognitio…
View article: Predicting in-hospital mortality in ICU patients with Coronary heart disease and diabetes mellitus using machine learning models
Predicting in-hospital mortality in ICU patients with Coronary heart disease and diabetes mellitus using machine learning models Open
Background Coronary heart disease (CHD) and diabetes mellitus are highly prevalent in intensive care units (ICUs) and significantly contribute to high in-hospital mortality rates. Traditional risk stratification models often fail to captur…
View article: Quantifying alpha clustering in the ground states of 16-O and 20-Ne
Quantifying alpha clustering in the ground states of 16-O and 20-Ne Open
Understanding the role of multi-nucleon correlations in the structure of light nuclei is at the forefront of modern nuclear science. In this letter, we present a quantitative benchmark study of alpha-cluster correlations in the ground stat…
View article: Computational Modeling of Indoor Organic Photovoltaics: Dataset Curation, Predictive Analysis, and Machine Learning Approaches
Computational Modeling of Indoor Organic Photovoltaics: Dataset Curation, Predictive Analysis, and Machine Learning Approaches Open
View article: Effect of respiration-induced motion on a three-dimensional magnetic resonance imaging-based adaptive radiotherapy workflow in a 1.5T magnetic resonance linear accelerator
Effect of respiration-induced motion on a three-dimensional magnetic resonance imaging-based adaptive radiotherapy workflow in a 1.5T magnetic resonance linear accelerator Open
This study investigated the impact of respiratory-induced linear translational motion on ITV delineation and dosimetric accuracy in MR-guided RT. It was found that large respiratory amplitudes significantly compromised geometric and dosime…
View article: Depth Transfer: Learning to See Like a Simulator for Real-World Drone Navigation
Depth Transfer: Learning to See Like a Simulator for Real-World Drone Navigation Open
Sim-to-real transfer is a fundamental challenge in robot reinforcement learning. Discrepancies between simulation and reality can significantly impair policy performance, especially if it receives high-dimensional inputs such as dense dept…
View article: Advancing Out-of-Distribution Detection via Local Neuroplasticity
Advancing Out-of-Distribution Detection via Local Neuroplasticity Open
In the domain of machine learning, the assumption that training and test data share the same distribution is often violated in real-world scenarios, requiring effective out-of-distribution (OOD) detection. This paper presents a novel OOD d…
View article: A Deep Learning-Based Framework for Impact Load Identification Using Strain Data on Composite Plates
A Deep Learning-Based Framework for Impact Load Identification Using Strain Data on Composite Plates Open
View article: Feasibility and safety of a cable transmission magnetically controlled capsule endoscopy system for examination of the human upper digestive tract
Feasibility and safety of a cable transmission magnetically controlled capsule endoscopy system for examination of the human upper digestive tract Open
This study substantiates the feasibility and safety of employing magnetically controlled capsule endoscopy with cable transmission for the evaluation of human stomach and esophagus.
View article: Research on the Influence of Online Public Opinion on College Students' Values in the Context of Artificial Intelligence
Research on the Influence of Online Public Opinion on College Students' Values in the Context of Artificial Intelligence Open
The advent of generative artificial intelligence, exemplified by ChatGPT, has infused new vitality into the ideological and political education of college students through its formidable generative capabilities. However, it has also impart…
View article: MMS-EF: A Multi-Scale Modular Extraction Framework for Enhancing Deep Learning Models in Remote Sensing
MMS-EF: A Multi-Scale Modular Extraction Framework for Enhancing Deep Learning Models in Remote Sensing Open
The analysis of land cover using deep learning techniques plays a pivotal role in understanding land use dynamics, which is crucial for land management, urban planning, and cartography. However, due to the complexity of remote sensing imag…
View article: Grammatical Error Correction Detection of English Conversational Pronunciation Under a Deep Learning Algorithm
Grammatical Error Correction Detection of English Conversational Pronunciation Under a Deep Learning Algorithm Open
Grammar correction in spoken English can enhance proficiency. This paper briefly introduces the gate recurrent unit (GRU) algorithm and its appli- cation in English speech recognition and grammatical error correction of speech recognition …
View article: Application of Machine Learning in a Rodent Malaria Model for Rapid, Accurate, and Consistent Parasite Counts
Application of Machine Learning in a Rodent Malaria Model for Rapid, Accurate, and Consistent Parasite Counts Open
Rodent malaria models serve as important preclinical antimalarial and vaccine testing tools. Evaluating treatment outcomes in these models often requires manually counting parasite-infected red blood cells (iRBCs), a time-consuming process…
View article: SQLfuse: Enhancing Text-to-SQL Performance through Comprehensive LLM Synergy
SQLfuse: Enhancing Text-to-SQL Performance through Comprehensive LLM Synergy Open
Text-to-SQL conversion is a critical innovation, simplifying the transition from complex SQL to intuitive natural language queries, especially significant given SQL's prevalence in the job market across various roles. The rise of Large Lan…
View article: How Much Progress Did I Make? An Unexplored Human Feedback Signal for Teaching Robots
How Much Progress Did I Make? An Unexplored Human Feedback Signal for Teaching Robots Open
Enhancing the expressiveness of human teaching is vital for both improving robots' learning from humans and the human-teaching-robot experience. In this work, we characterize and test a little-used teaching signal: \textit{progress}, desig…
View article: Application of machine learning in a rodent malaria model for rapid, accurate, and consistent parasite counts
Application of machine learning in a rodent malaria model for rapid, accurate, and consistent parasite counts Open
Rodent malaria models serve as important preclinical antimalarial and vaccine testing tools. Evaluating treatment outcomes in these models often requires manually counting parasite-infected red blood cells (iRBCs), a time-consuming process…
View article: Unintended dural tears during unilateral biportal endoscopic lumbar surgery: incidence and risk factors
Unintended dural tears during unilateral biportal endoscopic lumbar surgery: incidence and risk factors Open
View article: Research on the sumsets of different types of group
Research on the sumsets of different types of group Open
In this article, author introduce the theories about the sums of sets. First the definitionX Y = { x_i y_j | x_i X,y_jY }, that X, Y is a subset of group G. the first relative theorem is prove by CauchyDavenport. The beginning is the Knese…
View article: BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis
BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis Open
Bases have become an integral part of modern deep learning-based models for time series forecasting due to their ability to act as feature extractors or future references. To be effective, a basis must be tailored to the specific set of ti…
View article: Table of Contents
Table of Contents Open
View article: Changes in Intestinal Flora Following Fecal Microbiota Transplantation in Patients with Multidrug-Resistant organisms Infection
Changes in Intestinal Flora Following Fecal Microbiota Transplantation in Patients with Multidrug-Resistant organisms Infection Open
Incidence of antimicrobial-resistant infections has increased dramatically worldwide in the past few decades. To combat this alarming problem, strategies preventing colonization with resistant pathogens have been proposed. Fecal microbiota…
View article: Cardiac involved and autopsy in two patients with systemic sclerosis: Two cases report
Cardiac involved and autopsy in two patients with systemic sclerosis: Two cases report Open
View article: Patient-level performance evaluation of a smartphone-based malaria diagnostic application
Patient-level performance evaluation of a smartphone-based malaria diagnostic application Open
Background Microscopic examination is commonly used for malaria diagnosis in the field. However, the lack of well-trained microscopists in malaria-endemic areas impacted the most by the disease is a severe problem. Besides, the examination…
View article: AvoidBench: A high-fidelity vision-based obstacle avoidance benchmarking suite for multi-rotors
AvoidBench: A high-fidelity vision-based obstacle avoidance benchmarking suite for multi-rotors Open
Obstacle avoidance is an essential topic in the field of autonomous drone research. When choosing an avoidance algorithm, many different options are available, each with their advantages and disadvantages. As there is currently no consensu…
View article: Adaptive Differential Privacy Mechanism Based on Entropy Theory for Preserving Deep Neural Networks
Adaptive Differential Privacy Mechanism Based on Entropy Theory for Preserving Deep Neural Networks Open
Recently, deep neural networks (DNNs) have achieved exciting things in many fields. However, the DNN models have been proven to divulge privacy, so it is imperative to protect the private information of the models. Differential privacy is …
View article: A Similarity Measure-Based Approach Using RS-fMRI Data for Autism Spectrum Disorder Diagnosis
A Similarity Measure-Based Approach Using RS-fMRI Data for Autism Spectrum Disorder Diagnosis Open
Autism spectrum disorder (ASD) is a lifelong neurological disease, which seriously reduces the patients’ life quality. Generally, an early diagnosis is beneficial to improve ASD children’s life quality. Current methods based on samples fro…
View article: The Relationship between Socially Mindful Experiences and Behaviors in Preschoolers
The Relationship between Socially Mindful Experiences and Behaviors in Preschoolers Open
Social Mindfulness (SoMi) is a prosocial action in which individuals consciously attend to, respect, and protect the needs and power of others’ choices, contributing to good interpersonal relationships. In this study, 75 children aged 5-6 …
View article: Additional file 4 of Patient-level performance evaluation of a smartphone-based malaria diagnostic application
Additional file 4 of Patient-level performance evaluation of a smartphone-based malaria diagnostic application Open
Additional file 4: Object_scores_SOR.txt: A txt file containing all object scores with corresponding identifiers.
View article: Additional file 5 of Patient-level performance evaluation of a smartphone-based malaria diagnostic application
Additional file 5 of Patient-level performance evaluation of a smartphone-based malaria diagnostic application Open
Additional file 5: Object_score_histograms.zip: Object score histograms for each patient.