A5037756311- Advanced biosensing and bioanalysis techniques
- DNA and Biological Computing
- Chaos-based Image/Signal Encryption
- Algorithms and Data Compression
- Advanced Steganography and Watermarking Techniques
- Biofuel production and bioconversion
- Cellular Automata and Applications
- DNA and Nucleic Acid Chemistry
- RNA and protein synthesis mechanisms
- Microbial Metabolic Engineering and Bioproduction
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- Digital Media Forensic Detection
- Modular Robots and Swarm Intelligence
- Photosynthetic Processes and Mechanisms
- Quantum-Dot Cellular Automata
- Gene expression and cancer classification
- Fractal and DNA sequence analysis
- Catalysis for Biomass Conversion
- biodegradable polymer synthesis and properties
- Biosensors and Analytical Detection
- Anaerobic Digestion and Biogas Production
- Data Mining Algorithms and Applications
- Fungal and yeast genetics research
- RNA Interference and Gene Delivery
Dalian University
2017-2025
Dalian University of Technology
2013-2025
Mayo Clinic in Florida
2024-2025
Nanjing Drum Tower Hospital
2025
Chinese Academy of Sciences
2005-2025
Guangxi Academy of Sciences
2020-2025
Beijing University of Chemical Technology
2017-2025
Dalian Institute of Chemical Physics
2025
University of Chinese Academy of Sciences
2025
Shanghai University of Traditional Chinese Medicine
2025
The stock market is known for its extreme complexity and volatility, people are always looking an accurate effective way to guide trading. Long short-term memory (LSTM) neural networks developed by recurrent (RNN) have significant application value in many fields. In addition, LSTM avoids long-term dependence issues due unique storage unit structure, it helps predict financial time series. Based on attention mechanism, a wavelet transform used denoise historical data, extract train features,...
Deoxyribonucleic acid (DNA) has become an ideal medium for long-term storage and retrieval due to its extremely high density stability. But access efficiency is existing bottleneck in DNA storage, especially the lack of high-quality random address sequences. Therefore, this paper, we report a series approaches based on k-weakly mutually uncorrelated (k-WMU) codes design sequence improve storage. To problem sequences that are poorly scalable at base level, propose 0-m-ruling coding scheme...
Wavelet transforms (WLT) and waveform (WFT) are effective tools that reveal temporal structure of nonstationary time series. The authors discuss principles practical aspects their geophysical applications. WLT can display variance as a continuous function frequency, but the frequency (time) locality reduces at high (low) bands. WFT, on other hand, provides sharp view in both presents by discrete base functions. two techniques complementary. use Morlet Gabor WFT to analyze Southern...
Aspergillus oryzae , an important filamentous fungus used in food fermentation and the enzyme industry, has been shown through genome sequencing various other tools to have prominent features its genomic composition. However, functional complexity of A. transcriptome not yet fully elucidated. Here, we applied direct high-throughput paired-end RNA-sequencing (RNA-Seq) under four different culture conditions. With high resolution sensitivity afforded by RNA-Seq, were able identify a...
This paper proposes a high-security chaotic encrypted power sparse coding division (CE-PSCD) scheme for 7-core fiber based on non-orthogonal multiple access (NOMA) technology. The method utilizes multiplexing to realize parallel transmission of two signals. Joint encryption the four-dimensional region is realized using constellation mapping encryption, carrier frequency symbol scrambling, and code scrambling. What we believe be new dimension autonomously designed codes proposed. Meanwhile,...
The evolution of Large Language Models (LLMs) like ChatGPT and GPT-4 has sparked discussions on the advent Artificial General Intelligence (AGI). However, replicating such advancements in open-source models been challenging. This paper introduces InternLM2, an LLM that outperforms its predecessors comprehensive evaluations across 6 dimensions 30 benchmarks, long-context modeling, open-ended subjective through innovative pre-training optimization techniques. process InternLM2 is meticulously...
A deeper understanding of pathophysiology, from the initiation tumors epithelial cells to outcomes associated with it, is imperative test potential interventions for these diseases. However, few models can accomplish this because complexity origin and their transformation. We established an cell original tumor mouse model by conditional KrasG12D activation suppressor gene p53 deletion specifically in whole body using Cytokeratin 19 (CK19) promoter via Cre-ERT mediation. Multiple derived...
At present, huge amounts of data are being produced every second, a situation that will gradually overwhelm current storage technology. DNA is medium features high density and long-term stability now considered to be feasible solution. Errors easily made during the sequencing synthesis DNA, however. In order reduce error rate, novel uncorrelated address constrain reported, Damping Multi-Verse Optimizer (DMVO)algorithm proposed construct set coding, which used as non-payload. The DMVO...
DNA Encoding, as a key step in storage, plays an important role reading and writing accuracy the storage error rate. However, currently, encoding efficiency is not high enough speed fast enough, which limits performance of systems. In this work, system with graph convolutional network self-attention (GCNSA) proposed. The experimental results show that code constructed by GCNSA increases 14.4% on average under basic constraints, 5%-40% other constraints. increase codes effectively improves...
Abstract Background DNA storage has the advantages of large capacity, long-term stability, and low power consumption relative to other mediums, making it a promising new medium for multimedia information such as images. However, coding density weak error correction ability. Results To achieve more efficient image reconstruction, we propose DNA-QLC (QRes-VAE Levenshtein code (LC)), which uses quantized ResNet VAE (QRes-VAE) model LC compression sequence correction, thus improving both...
With the development of information technology, huge amounts data are produced at same time. How to store efficiently and low cost has become an urgent problem. DNA is a high-density persistent medium, making storage viable solution. In system, first consideration how encode effectively into code words. However, strands prone non-specific hybridization during reaction process errors synthesis sequencing. order reduce error rate, thermodynamic minimum free energy (MFE) constraint proposed...
With the development of information and communication technologies, all public tertiary hospitals in China began to use online outpatient appointment systems. However, phenomenon patient no-shows appointments is becoming more serious. The objective this study design a prediction model for no-shows, thereby assisting making relevant decisions, reducing probability no-show behavior. We used 382,004 original records, divided data set into training (N1 = 286,503), validation (N2 95,501)....
Current DNA storage schemes lack flexibility and consistency in processing highly redundant correlated image data, resulting low sequence stability reconstruction rates. Therefore, according to the characteristics of storage, this paper proposes storing images via base128 encoding (DNA-base128). In data writing stage, segmentation probability statistics are carried out, then, block frequency constraint set associated with achieving encoding. When needs be recovered, DNA-base128 completes...
Cell wall biomass, Earth's most abundant natural resource, holds significant potential for sustainable biofuel production. Composed of cellulose, hemicellulose, lignin, pectin, and other polymers, the plant cell provides essential structural support to diverse organisms in nature. In contrast, non-plant species like insects, crustaceans, fungi rely on chitin as their primary polysaccharide. The saprophytic fungus
DNA computing, the combination of computer science and molecular biology, is a burgeoning research field that holds promise for many applications. The accuracy computing determined by reliable sequences, quality which affects hybridization reactions. Evaluating sequences obtained from previous constraints in NUPACK simulation experiments, we find concentration after entering solution was significantly lower than before solution, should affect Therefore, this study, propose new constraint,...
The high density, large capacity, and long-term stability of DNA molecules make them an emerging storage medium that is especially suitable for the datasets. sequences used in need to consider relevant constraints avoid nonspecific hybridization reactions, such as No-runlength constraint, GC-content, Hamming distance. In this work, a new nonlinear control parameter strategy random opposition-based learning were improve Harris hawks optimization algorithm (for improved NOL-HHO) order prevent...
Designing biochemical systems that can be effectively used in diverse fields, including diagnostics, molecular computing and nanomachines, has long been recognized as an important goal of programming DNA nanotechnology. A key issue the development such practical devices on nanoscale lies components with information-processing capacity. In this article, we propose a device utilizes strand displacement networks allows interactive inhibition between two input signals; thus, it is termed...