Abnormal Behavior Detection and Recognition Method Based on Improved ResNet Model

The core technology in an intelligent video surveillance system is that detecting and recognizing abnormal behaviors timely and accurately.The key breakthrough point in recognizing abnormal behaviors is how to obtain the effective features of the picture,so as to solve the problem of recognizing them.In response to this difficulty,this paper introduces an adjustable jump link coefficients model based on the residual network.The effective coefficients for each layer of the network can be set after using this model to further improving the recognition accuracy of abnormal behavior.A convolution kernel of 1×1 size is added to reduce the number of parameters for the purpose of improving the speed of the model in this paper.In order to reduce the noise of the data edge,and at the same time,improve the accuracy of the data and speed up the training,a BN(Batch Normalization)layer is added before the activation function in this network.This paper trains this network model on the public ImageNet dataset,and then uses the transfer learning method to recognize these abnormal behaviors of human in the UTI behavior dataset processed by the YOLO_v3 target detection network.Under the same experimental conditions,compared with the original ResNet-50 model,the improved model in this paper has a 2.8%higher accuracy in recognition of abnormal behaviors on the public UTI dataset.

Highly efficient perovskite solar cells based on symmetric hole transport material constructed with indaceno[1,2-b:5,6-b’]dithiophene core building block

Two novel hole transport materials (HTMs) with indaceno[1,2-b:5,6-b’]dithiophene (IDT) as core building blocks,termed IDT1 and IDT2,were designed and synthesized.The side alkyl chains were introduced to regulate and control the morphology and stacking behavior of HTMs,and the peripheral triarylamine arms were introduced to adjust the energy levels and to facilitate efficient hole transport.Applied in mesoporous structured perovskite solar cells (PSCs),HTM IDT1 achieved higher power conversion efficiency (PCE,19.55%) and better stability than Spiro-OMeTAD (19.25%) and IDT2 (15.77%) based PSC.These results suggest the potential of IDTl as a promising HTM for PSCs.

Spatial configuration engineering of perylenediimide-based non-fullerene electron transport materials for efficient inverted perovskite solar cells

Due to their excellent photoelectron chemical properties and suitable energy level alignment with perovskite,perylene diimide(PDI)derivatives are competitive non-fullerene electron transport material(ETM)candidates for perovskite solar cells(PSCs).However,the conjugated rigid plane structure of PDI units result in PDI-based ETMs tending to form large aggregates,limiting their application and photovoltaic performance.In this study,to restrict aggregation and further enhance the photovoltaic performance of PDI-type ETMs,two PDI-based ETMs,termed PDO-PDI2(dimer)and PDO-PDI3(trimer),were constructed by introducing a phenothiazine 5,5-dioxide(PDO)core building block.The research manifests that the optoelectronic properties and film formation property of PDO-PDI2 and PDO-PDI3 were deeply affected by the molecular spatial configuration.Applied in PSCs,PDO-PDI3 with threedimensional spiral molecular structure,exhibits superior electron extraction and transport properties,further achieving the best PCE of 18.72%and maintaining 93%of its initial efficiency after a 720-h aging test under ambient conditions.

Real-time detection of LMP1/LMP1 interaction in MβCD-induced apoptosis of nasopharyngeal carcinoma cells using FRET method

Latent mermbrane protein 1(LMP1)is known as an oncoprotein in nasopharyngeal carcinoma(NPC)cells,which is considered to have a strong association with growth,invasion and metastasis of NPC cells through lipid rafts.Met hy-A-cyclodextrin(M3CD)can disrupt lipid rafts through cholesterol depletion.In this study,we revealed that MICD induced apoptosis in two kinds of NPC cells including CNE1 cells,a LMP1 negative nasopharyngeal squamous carcinoma cell line,and CNE1-LMP1 cells,a LMP1-positive nasopharyngeal squamous carcinoma cell line.Furthermore,the impact of MBCD on LMP1 was investigated by fuorescence resonance energy transfer(FRET)method in NPC cells.Synchronized tempo spatial and spectral detection of LMP1/LMP1 interaction were performed using fluorescence microscope and spectrograph.FRET efficiency indicated that LMP1/LMP1 interaction gradully enhanced after M9CD treatment.MTT assays showed that M8CD caused strong cytotoxicity in CNE1 cells,but cauused relatively weaker cytotoxicity in CNE1-LMP1 cells,which indicated that LMP1 may regulate sensitivity of NPC cells to MBCD.Then,detection of cleaved caspase-3 in two kinds of NPC cells indicated that LMP1 may inhibit activation of caspase 3.These results strongly suggested that MBCD can induce apoptosis of NPC cells,but enhancing of LMP1/LMP1 interaction may likely resist apoptosis through inhibiting cleavage of caspase-3.

A Comprehensive Price Prediction System Based on Inverse Multiquadrics Radial Basis Function for Portfolio Selection

Price prediction plays a crucial role in portfolio selection (PS). However, most price prediction strategies only make a single prediction and do not have efficient mechanisms to make a comprehensive price prediction. Here, we propose a comprehensive price prediction (CPP) system based on inverse multiquadrics (IMQ) radial basis function. First, the novel radial basis function (RBF) system based on IMQ function rather than traditional Gaussian (GA) function is proposed and centers on multiple price prediction strategies, aiming at improving the efficiency and robustness of price prediction. Under the novel RBF system, we then create a portfolio update strategy based on kernel and trace operator. To assess the system performance, extensive experiments are performed based on 4 data sets from different real-world financial markets. Interestingly, the experimental results reveal that the novel RBF system effectively realizes the integration of different strategies and CPP system outperforms other systems in investing performance and risk control, even considering a certain degree of transaction costs. Besides, CPP can calculate quickly, making it applicable for large-scale and time-limited financial market.

Microfluidic magnetic detection system combined with a DNA framework-mediated immune-sandwich assay for rapid and sensitive detection of tumor-derived exosomes

Tumor-derived circulating exosomes(TDEs)are being pursued as informative and noninvasive biomarkers.However,quantitatively detecting TDEs is still challenging.Herein,we constructed a DNA tetrahedral-structured probe(TSP)-mediated microfluidic magnetic detection system(μFMS)to provide a rapid and sensitive platform for analyzing TDEs.CD63 aptamer-modified Fe_(3)O_(4)magnetic nanoparticles(MNPs)were constructed to form magnetic nano-report probes(MNRs).The microfluidic chips were fabricated from glass functionalized with DNA TSP-modified aldehyde groups and a PDMS layer designed with serpentine microchannels.An induction coil-based magnetic detector was used to measure the magnetic signal.The linear dynamic range of theμFMS system for TDE assays was 1.98×10^(3)-1.98×10^(7)particles/mL with a limit of detection of 1.98×10^(3)particles/mL in PBS.There was no significant difference in TDE detection between the simulated serum and PBS,which indicated the feasibility of the constructedμFMS system for TDE analysis in complex biological systems.In terms of cost,reaction time and operation procedure,thisμFMS has the potential to be developed as a clinical point-of-care testing tool for cancer diagnosis and therapeutics.

Changes in nitrogen budget and potential risk to the environment over 20 years(1990–2010) in the agroecosystems of the Haihe Basin, China

The nitrogen balance can serve as an indicator of the risk to the environment of nitrogen loss from agricultural land. To investigate the temporal and spatial changes in agricultural nitrogen application and its potential threat to the environment of the Haihe Basin in China, we used a database of county-level agricultural statistics to calculate agricultural nitrogen input, output,surplus intensity, and use efficiency. Chemical fertilizer nitrogen input increased by 51.7% from1990 to 2000 and by 37.2% from 2000 to 2010, concomitant with increasing crop yields.Simultaneously, the nitrogen surplus intensity increased by 53.5% from 1990 to 2000 and by16.5% from 2000 to 2010, presenting a continuously increased environmental risk. Nitrogen use efficiency decreased from 0.46 in 1990 to 0.42 in 2000 and remained constant at 0.42 in 2010,partly due to fertilizer composition and type improvement. This level indicates that more than half of nitrogen inputs are lost in agroecosystems. Our results suggest that although the improvement in fertilizer composition and types has partially offset the decrease in nitrogen use efficiency, the environmental risk has still increased gradually over the past 20 years, along with the increase in crop yields and nitrogen application. It is important to achieve a better nitrogen balance through more effective management to significantly reduce the environmental risk,decrease nitrogen surplus intensity, and increase nitrogen use efficiency without sacrificing crop yields.

Peptidomimetic-based antibody surrogate for HER2

Inhibition of human epidermal growth factor receptor 2 mediated cell signaling pathway is an important therapeutic strategy for HER2-positive cancers.Although monoclonal antibodies are currently used as marketed drugs,their large molecular weight,high cost of production and susceptibility to proteolysis could be a hurdle for long-term application.In this study,we reported a strategy for the development of artificial antibody based on y-AApeptides to target HER2 extracellular domain(ECD).To achieve this,we synthesized a one-bead-two-compound(OBTC)library containing 320,000 cyclic y-AApeptides,from which we identified a y-AApeptide,M-3-6,that tightly binds to HER2 selectively.Subsequently,we designed an antibody-like dimer of M-3-6,named M-3-6-D,which showed excellent binding affinity toward HER2 comparable to monoclonal antibodies.Intriguingly,M-3-6-D was completely resistant toward enzymatic degradation.In addition,it could effectively inhibit the phosphorylation of HER2,as well as the downstream signaling pathways of AKT and ERK.Furthermore,M-3-6-D also efficiently inhibited cell proliferation in vitro,and suppressed tumor growth in SKBR3 xenograft model in vivo,implying its therapeutic potential for the treatment of cancers.Its small molecular weight,antibody-like property,resistance to proteolysis,may enable it a new generation of artificial antibody surrogate.Furthermore,our strategy of artificial antibody surrogate based on dimers of cyclicγ-AApeptides could be applied to a myriad of disease-related receptor targets in future.

Profiling Drug-Protein Interactions by Micro Column Affinity Purification Combined with Label Free Quantification Proteomics

of main observation and conclusion We developed a method for comprehensively profiling drug-protein interactions using micro-column affinity purification(AP)combined with label-free quantitative(LFQ)proteomics as well as the statistical and bioinformatics analysis.FK506 was used as the experimental model for proof of concept.The true interacting proteins were distinguished from the background proteins by their fold changes of FLQ intensities combined with p-values.Totally 116 FK506 interacting proteins including 5 known target proteins were identified.The method was validated by using the LFQ intensity of the endogenous known drug targets together with statistical analysis.We demonstrated that the micro-column-based affinity purification in combination with LFQ proteomics provides a highly reproducible and robust approach for profiling drug-protein interactions.