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Article
UAV flight path planning optimization
In modern warfare, the use of UAVs for reconnaissance, search and rescue missions is very common, and it is essential to plan the flight path of UAVs. However, in the face of complex battlefield environment, t...
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Article
MnO-pillared graphene blocks enabling the ultrastable and ultrafast aqueous zinc ion batteries
Due to the low cost, high theoretical capacity, and environmental friendliness, manganese-based cathodes are regarded as promising alternatives for aqueous zinc ion batteries (AZIBs). However, the practicality...
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Article
PTEN inhibition enhances sensitivity of ovarian cancer cells to the poly (ADP-ribose) polymerase inhibitor by suppressing the MRE11-RAD50-NBN complex
Poly (ADP-ribose) polymerase inhibitors (PARPis) can effectively treat ovarian cancer patients with defective homologous recombination (HR). Loss or dysfunction of PTEN, a typical tumour suppressor, impairs do...
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Article
Sirolimus can promote the disappearance of renal angiomyolipoma associated with tuberous sclerosis complex: a prospective cohort study
Renal angiomyolipoma (RAML) is the most common kidney lesion in patients with tuberous sclerosis complex (TSC), affecting about 80% of patients. It is a benign tumor that grows over time, usually bilaterally, ...
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Article
Two-dimensional bifunctional electrocatalyst (Mo–NiFe-LDH) with multilevel structure for highly efficient overall water splitting
To effectively address energy challenges, it is crucial to explore efficient and stable bifunctional non-precious metal catalysts. In this study, a Mo-doped nickel–iron layered double hydroxide with flower-clu...
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Article
Mesoporous Nanofibers from Extended Electrospinning Technique
One-dimensional (1D) mesoporous nanofibers (NFs) have recently attracted tremendous interest in different fields, in virtue of their mesoporous structure and 1D geometry. However, conventional electrospinning,...
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Article
MOSS: An Open Conversational Large Language Model
Conversational large language models (LLMs) such as ChatGPT and GPT-4 have recently exhibited remarkable capabilities across various domains, capturing widespread attention from the public. To facilitate this ...
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Article
A mathematical model for HIV dynamics with multiple infections: implications for immune escape
Multiple infections enable the recombination of different strains, which may contribute to viral diversity. How multiple infections affect the competition dynamics between the two types of strains, the wild an...
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Article
Study on influencing factors and mechanism of land subsidence in delta resource exploitation area of Shengli oilfield
To prevent or reduce the loss caused by land subsidence in delta region, the land subsidence of the Zhuangxi–Wuhaozhuang oil area in Shengli Oilfield is predicted based on the elastic theory of porous medium a...
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Article
CPT: a pre-trained unbalanced transformer for both Chinese language understanding and generation
In this paper, we take the advantage of previous pre-trained models (PTMs) and propose a novel Chinese pre-trained unbalanced transformer (CPT). Different from previous Chinese PTMs, CPT is designed to utilize...
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Article
Open AccessIntermediate soil acidification induces highest nitrous oxide emissions
Global potent greenhouse gas nitrous oxide (N2O) emissions from soil are accelerating, with increases in the proportion of reactive nitrogen emitted as N2O, i.e., N2O emission factor (EF). Yet, the primary contro...
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Article
Open AccessMulti-dimensional resource allocation strategy for LEO satellite communication uplinks based on deep reinforcement learning
In the LEO satellite communication system, the resource utilization rate is very low due to the constrained resources on satellites and the non-uniform distribution of traffics. In addition, the rapid movement...
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Article
Open AccessscDisInFact: disentangled learning for integration and prediction of multi-batch multi-condition single-cell RNA-sequencing data
Single-cell RNA-sequencing (scRNA-seq) has been widely used for disease studies, where sample batches are collected from donors under different conditions including demographic groups, disease stages, and drug...
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Article
Open AccessEstablish a novel tumor budding-related signature to predict prognosis and guide clinical therapy in colorectal cancer
Tumor budding is a long-established independent adverse prognostic marker for colorectal cancer (CRC), yet assessment of tumor budding was not reproducible. Therefore, development of precise diagnostic approac...
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Chapter and Conference Paper
Generated Therapeutic Music Based on the ISO Principle
This paper presents an emotion-driven music generation model designed to support the development of an intelligent system to support music therapy informed by the ISO principle [1]. Following the ISO principle, t...
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Article
ChatGPT: potential, prospects, and limitations
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Chapter and Conference Paper
Optimal Dispatching of Distribution Network Considering Inverter Air Conditioner Aggregation
The proportion of distributed energy resource (DER) in the distribution network has been increasing year by year to realize “carbon peaking and carbon neutrality goals”. However, new energy power generation is...
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Article
Clinical Significance and Immune Infiltration Analyses of a Novel Nerve-Related lncRNA Signature in Gastric Cancer
Gastric cancer (GC) is a progressive disease with high morbidity and mortality. Accumulating evidence indicated that nervous system-cancer crosstalk can affect the occurrence and progression of GC. However, th...
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Article
Open AccessAnesthesia management experience for pediatric day-case PDA ligation under thoracoscopy assisted by a robot: a retrospective study
To summarize the anesthesia management experience for pediatric day-case patent ductus arteriosus (PDA) ligation under robot-assisted thoracoscopy and explore the key points of anesthesia management for this p...
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Article
\(\cal{Y}\) -Tuning: an efficient tuning paradigm for large-scale pre-trained models via label representation learning
With current success of large-scale pre-trained models (PTMs), how efficiently adapting PTMs to downstream tasks has attracted tremendous attention, especially for PTMs with billions of parameters. Previous wo...
