29 research outputs found
NetGPT: Generative Pretrained Transformer for Network Traffic
Pretrained models for network traffic can utilize large-scale raw data to
learn the essential characteristics of network traffic, and generate
distinguishable results for input traffic without considering specific
downstream tasks. Effective pretrained models can significantly optimize the
training efficiency and effectiveness of downstream tasks, such as traffic
classification, attack detection, resource scheduling, protocol analysis, and
traffic generation. Despite the great success of pretraining in natural
language processing, there is no work in the network field. Considering the
diverse demands and characteristics of network traffic and network tasks, it is
non-trivial to build a pretrained model for network traffic and we face various
challenges, especially the heterogeneous headers and payloads in the
multi-pattern network traffic and the different dependencies for contexts of
diverse downstream network tasks.
To tackle these challenges, in this paper, we make the first attempt to
provide a generative pretrained model for both traffic understanding and
generation tasks. We propose the multi-pattern network traffic modeling to
construct unified text inputs and support both traffic understanding and
generation tasks. We further optimize the adaptation effect of the pretrained
model to diversified tasks by shuffling header fields, segmenting packets in
flows, and incorporating diverse task labels with prompts. Expensive
experiments demonstrate the effectiveness of our NetGPT in a range of traffic
understanding and generation tasks, and outperform state-of-the-art baselines
by a wide margin
Ultrasensitive protein detection in blood serum using gold nanoparticle probes by single molecule spectroscopy
Effectiveness and safety of tripterygium wilfordii poly-glycosides on glomerulonephritis: a systematic review and meta-analysis
Treatment of glomerulonephritis presents several challenges, including limited therapeutic options, high costs, and potential adverse reactions. As a recognized Chinese patent medicine, Tripterygium wilfordii poly-glycosides (TWP) have shown promising benefits in managing autoimmune diseases. To evaluate clinical effectiveness and safety of TWP in treating glomerulonephritis, we systematically searched PubMed, Cochrane Library, Web of Science, and Embase databases for controlled studies published up to 12 July 2023. We employed weighted mean difference and relative risk to analyze continuous and dichotomous outcomes. This meta-analysis included 16 studies that included primary membranous nephropathy (PMN), type 2 diabetic kidney disease (DKD), and Henoch-Schönlein purpura nephritis (HSPN). Analysis revealed that additional TWP administration improved patients’ outcomes and total remission rates, reduced 24-h urine protein (24hUP) and decreased relapse events. The pooled results demonstrated the non-inferiority of TWP to glucocorticoids in achieving total remission, reducing 24hUP, and converting the phospholipase A2 receptor (PLA2R) status to negative. For DKD patients, TWP effectively reduced 24hUP levels, although it did not significantly improve the estimated glomerular filtration rate (eGFR). Compared to valsartan, TWP showed comparable improvements in 24hUP and eGFR levels. In severe cases of HSPN in children, significant clinical remission and a reduction in 24hUP levels were observed with the addition of TWP treatment. TWP did not significantly increase the incidence of adverse reactions. Therefore, TWP could offer therapeutic benefits to patients with PMN, DKD, and severe HSPN, with a minimal increase in the risk of side effects
Electrical characterization of MoS<sub>2</sub> field-effect transistors with different dielectric polymer gate
The characteristics of MoS2-nanoflake field-effect transistors (FETs) were studied by analyzing the transfer curves in MoS2-FETs with ferroelectric and general polymers as the gate dielectric. A clear hysteresis, opposite to the electron trapping–detrapping effect in traditional MoS2-FETs, was observed in the MoS2-FETs with ferroelectric poly(vinylidene fluoride/trifluoroethylene) [P(VDF-TrFE)] films. The effect carrier mobility of MoS2 nanoflakes reached approximately 95.6 cm2/Vs under the control of the polarization field of P(VDF-TrFE), whereas the effect carrier mobility was only approximately 15.3 cm2/Vs in MoS2-FETs with traditional dielectric poly(methyl methacrylate) (PMMA) films. Furthermore, the ferroelectric MoS2-FETs possess a higher ON/OFF resistance ratio (approximately 107) than do the PMMA MoS2-FETs (approximately 105)
Enhancing Nanoparticle-Based Visible Detection by Controlling the Extent of Aggregation
Visible indication based on the aggregation of colloidal nanoparticles (NPs) is highly advantageous for rapid on-site detection of biological entities, which even untrained persons can perform without specialized instrumentation. However, since the extent of aggregation should exceed a certain minimum threshold to produce visible change, further applications of this conventional method have been hampered by insufficient sensitivity or certain limiting characteristics of the target. Here we report a signal amplification strategy to enhance visible detection by introducing switchable linkers (SLs), which are designed to lose their function to bridge NPs in the presence of target and control the extent of aggregation. By precisely designing the system, considering the quantitative relationship between the functionalized NPs and SLs, highly sensitive and quantitative visible detection is possible. We confirmed the ultrahigh sensitivity of this method by detecting the presence of 20 fM of streptavidin and fewer than 100 CFU/mL of Escherichia coli
The Crest Phenotype in Chicken Is Associated with Ectopic Expression of HOXC8 in Cranial Skin
The Crest phenotype is characterised by a tuft of elongated feathers atop the head. A similar phenotype is also seen in several wild bird species. Crest shows an autosomal incompletely dominant mode of inheritance and is associated with cerebral hernia. Here we show, using linkage analysis and genome-wide association, that Crest is located on the E22C19W28 linkage group and that it shows complete association to the HOXC-cluster on this chromosome. Expression analysis of tissues from Crested and non-crested chickens, representing 26 different breeds, revealed that HOXC8, but not HOXC12 or HOXC13, showed ectopic expression in cranial skin during embryonic development. We propose that Crest is caused by a cis-acting regulatory mutation underlying the ectopic expression of HOXC8. However, the identification of the causative mutation(s) has to await until a method becomes available for assembling this chromosomal region. Crest is unfortunately located in a genomic region that has so far defied all attempts to establish a contiguous sequence