A5006594480- Advanced Memory and Neural Computing
- Graphene research and applications
- Ferroelectric and Negative Capacitance Devices
- Stochastic Gradient Optimization Techniques
- Advanced Sensor and Energy Harvesting Materials
- Error Correcting Code Techniques
- 2D Materials and Applications
- Semiconductor materials and devices
- Frailty in Older Adults
- RNA Research and Splicing
- Immune Response and Inflammation
- Sepsis Diagnosis and Treatment
- Perovskite Materials and Applications
- Cephalopods and Marine Biology
- Neuroscience and Neural Engineering
- Hip and Femur Fractures
- Lipoproteins and Cardiovascular Health
- Quantum Computing Algorithms and Architecture
- Traffic Prediction and Management Techniques
- Circular RNAs in diseases
- Vitamin C and Antioxidants Research
- 3D IC and TSV technologies
- Energy Load and Power Forecasting
- Nanowire Synthesis and Applications
- Integrated Circuits and Semiconductor Failure Analysis
Pennsylvania State University
2022-2024
Sun Yat-sen Memorial Hospital
2015-2022
Sun Yat-sen University
2015-2022
Shandong University
2022
Abstract Bayesian networks (BNs) find widespread application in many real-world probabilistic problems including diagnostics, forecasting, computer vision, etc. The basic computing primitive for BNs is a stochastic bit (s-bit) generator that can control the probability of obtaining ‘1’ binary bit-stream. While silicon-based complementary metal-oxide-semiconductor (CMOS) technology be used hardware implementation BNs, lack inherent stochasticity makes it area and energy inefficient. On other...
Sepsis induces pulmonary P2X7 receptor (P2X7 R) expression and R-knockout reduced lung inflammation in mice. The present study investigated the of circular RNA (circRNA) mRNA sepsis-induced acute injury (ALI) treated with a R antagonist.Sepsis was induced by tracheal administration lipopolysaccharide (LPS), mice were then divided into two groups: without [sepsis + dimethyl sulfoxide (DMSO)] or antagonist treatment (sepsis A). Sham administrated sterile normal saline. Serum levels interleukin...
Extraordinarily high carrier mobility in graphene has led to many remarkable discoveries physics and at the same time invoked great interest graphene-based electronic devices sensors. However, poor ON/OFF current ratio observed field-effect transistors stymied its use applications. Here, we introduce a strain-effect transistor (GSET) with colossal excess of 107 by exploiting strain-induced reversible nanocrack formation source/drain metal contacts help piezoelectric gate stack. GSETs also...
Physically unclonable functions (PUFs) are an integral part of modern-day hardware security. Various types PUFs already exist, including optical, electronic, and magnetic PUFs. Here, we introduce a novel straintronic PUF (SPUF) by exploiting strain-induced reversible cracking in the contact microstructures graphene field-effect transistors (GFETs). We found that strain cycling GFETs with piezoelectric gate stack high-tensile-strength metal contacts can lead to abrupt transition some GFET...
Unisensory cues are often insufficient for animals to effectively engage in foraging, mating, and predatory activities. In contrast, integration of collected from multiple sensory organs enhances the overall perceptual experience thereby facilitates better decision-making. Despite importance multisensory animals, field artificial intelligence (AI) neuromorphic computing has primarily focused on processing unisensory information. This lack emphasis can be attributed absence a miniaturized...
Defects play a pivotal role in limiting the performance and reliability of nanoscale devices. Field-effect transistors (FETs) based on atomically thin two-dimensional (2D) semiconductors such as monolayer MoS2 are no exception. Probing defect dynamics 2D FETs is therefore significant interest. Here, we present comprehensive insight into various observed at varying gate biases temperatures. The measured source-to-drain currents exhibit random telegraph signals (RTS) owing to transfer charges...
Abstract As the energy and hardware investments necessary for conventional high‐precision digital computing continue to explode in era of artificial intelligence (AI), a change paradigm that can trade precision resource efficiency is being sought many applications. Stochastic (SC) an attractive alternative since, unlike computers, which require logic gates high transistor volume perform basic arithmetic operations such as addition, subtraction, multiplication, sorting, etc., SC implement...
Sepsis is common in intensive care units and has a high mortality rate; yet, its pathogenesis treatment remain unclear. Recent studies have shown that long non-coding RNA plasmacytoma variant translocation 1 (lncRNA-PVT1) plays pro-inflammatory role immune-related inflammatory diseases. Therefore, we investigated whether lncRNA-PVT1 an important effect the response of sepsis.Quantitative real-time PCR (RT-qPCR) was employed for detection lncRNA-PVT1, interleukin 1β (IL-1β), tumor necrosis...
To establish the implications of frailty as a predictor outcome in patients with head and neck cancer requiring flap repair.Retrospective cohort.We captured data from above 60 years old undergoing tumour resection free reconstruction surgery between June 2019 2020 at Department Oral Maxillofacial Surgery, Sun Yat-sen Memorial Hospital, University. The contain all treatment information.Surgery repeated 30 days, postoperative complications, hospital length stay, main biochemical standards.Age,...
Sepsis has been recognized to be a life-threatening organ dysfunction caused by the dysregulation of host response infections. Our work aims screen key biomarkers related neutrophils in sepsis using bioinformatics analysis. For this purpose, microarray datasets patients were downloaded from Gene Expression Omnibus (GEO) database. According Bayesian test, Limma package R was used differentially expressed genes (DEGs). Then, DEGs uploaded DAVID online diagnostic tool for subsequent Ontology...
The concept of cross-sensor modulation, wherein one sensor modality can influence another's response, is often overlooked in traditional fusion architectures, leading to missed opportunities for enhancing data accuracy and robustness. In contrast, biological systems, such as aquatic animals like crayfish, demonstrate superior through multisensory integration. These organisms adeptly integrate visual, tactile, chemical cues perform tasks evading predators locating prey. Drawing inspiration...
This paper proposes a new policy index neural network (NN), which uses the back propagation (BP) NN model optimized by genetic algorithm (GA) and particle swarm modeling consistency (PMC) to quantify relevant real estate policies. study also trains validates big data of primary housing transactions 33 properties in main urban area Weihai City, Shandong Province evaluates performance using mean squared error, absolute percentage R <sup xmlns:mml="http://www.w3.org/1998/Math/MathML"...
Abstract The concept of cross-sensor modulation, wherein one sensor modality can influence or modulate another's response, is overlooked in traditional fusion architectures. By neglecting this aspect, valuable opportunities to enhance the accuracy and robustness fused data are missed. In contrast, biological systems often exhibit more efficient synergistic mechanisms. Aquatic animals such as crayfish serve remarkable models for multisensory integration, skillfully integrating visual,...
<title>Abstract</title> The semiconductor industry is experiencing a tectonic shift with the adoption of three-dimensional (3D) integration, enabling convergence various technologies, such as analogue, radio frequency, sensors, memory devices, and digital components. Historically, through-silicon via (TSV) stacking has been dominant approach to 3D leading commercialization 3D-stacked CMOS image flash memories, dynamic random-access (DRAM) stacks. While TSV technology can achieve impressive...
Abstract As the energy and hardware investments necessary for conventional high-precision digital computing continues to explode in emerging era of artificial intelligence, deep learning, Big-data [1-4], a change paradigm that can trade precision resource efficiency is being sought many applications. Stochastic (SC) an attractive alternative since unlike computers, which require logic gates high transistor volume perform basic arithmetic operations such as addition, subtraction,...
Abstract Long before Bayes proposed his landmark theorem on the probability of an event, based prior knowledge other events, natural intelligence has adopted Bayesian inference as a tool to ensure survival for almost all species. The fact that living beings must make critical decision finding food, avoiding predators, and locating mates, information gathered by their sensory organs with limited sensitivity under noisy surroundings, emphasizes importance probabilistic computing evolutionary...