AIM:To explore the method for early diagnosis of gastric cancer by screening the expression spectrum of saliva protein in gastric cancer patients using mass spectrometry for proteomics.METHODS:Proportional peptide mas...AIM:To explore the method for early diagnosis of gastric cancer by screening the expression spectrum of saliva protein in gastric cancer patients using mass spectrometry for proteomics.METHODS:Proportional peptide mass fingerprints were obtained by analysis based on proteomics matrix-assisted laser desorption ionization time-of-flight/mass spectrometry.A diagnosis model was established using weak cation exchange magnetic beads to test saliva specimens from gastric cancer patients and healthy subjects.RESULTS:Significant differences were observed in the mass to charge ratio(m/z) peaks of four proteins(1472.78 Da,2936.49 Da,6556.81 Da and 7081.17 Da) between gastric cancer patients and healthy subjects.CONCLUSION:The finger print mass spectrum of saliva protein in patients with gastric cancer can be established using gastric cancer proteomics.A diagnostic model for distinguishing protein expression mass spectra of gastric cancer from non-gastric-cancer saliva can be established according to the different expression of proteins 1472.78 Da,2936.49 Da,6556.81 Da and 7081.17 Da.The method for early diagnosis of gastric cancer is of certain value for screening special biological markers.展开更多
To position personnel in mines, the study discussed in this paper built on the tunnel personnel positioning method on the basis of both TOA and location-finger print(LFP) positioning. Given non-line of sight(NLOS) tim...To position personnel in mines, the study discussed in this paper built on the tunnel personnel positioning method on the basis of both TOA and location-finger print(LFP) positioning. Given non-line of sight(NLOS) time delay in signal transmission caused by facilities and equipment shielding in tunnels and TOA measurement errors in both LFP database data and real-time data, this paper puts forth a database data de-noising algorithm based on distance threshold limitation and modified mean filtering(MMF), as well as a real-time data suppression algorithm based on speed threshold limitation and MMF.On this basis, a nearest neighboring data matching algorithm based on historical location and the speed threshold limitation is used to estimate personnel location and realize accurate personnel positioning.The results from both simulation and the experiment suggest that: compared with the basic LFP positioning method and the method that only suppresses real-time data error, the tunnel personnel positioning methods based on TOA and modified LFP positioning permits effectively eliminating error in TOA measurement, making the measured data close to the true positional data, and dropping the positioning error:the maximal positioning error in measurements from experiment drops by 9 and 3 m, respectively, and the positioning accuracy of 3 m is achievable in the condition used in the experiment.展开更多
Objective:To develop HPTLC fingerprint profile of anti-inflammatory active extract fractions of Tribulus terrestris(family Zygophyllaceae).Methods:The anti-inflammatory activity was tested for the methanol and its fra...Objective:To develop HPTLC fingerprint profile of anti-inflammatory active extract fractions of Tribulus terrestris(family Zygophyllaceae).Methods:The anti-inflammatory activity was tested for the methanol and its fractions(chloroform,ethyl acetate,n-butanol and aqueous)and chloroform extract of Tribulus terrestris(aerial parts)by injecting different groups of rats(6 each)with carrageenan in hind paw and measuring the edema volume before and 1,2 and 3 h after carrageenan injection.Control group received saline i.p.The extracts treatment was injected i.p.in doses of 200 mg/kg 1 h before carrageenan administration.Indomethacin(30 mg/kg)was used as standard.HPTLC studies were carried out using CAMAG HPTLC system equipped with Linomat IV applicator.TLC scanner 3.Reprostar 3,CAMAG ADC 2 and WIN CATS-4 software for the active fractions of chloroform fraction of methanol extract.Results:The methanol extract showed good antiedematous effect with percentage of inhibition more than 72%,indicating its ability to inhibit the inflammatory mediators.The methanol extract was re-dissolved in 100 mL of distilled water and fractionated with chloroform,ethyl acetate and n-butanol.The four fractions(chloroform,ethyl acetate,n-butanol and aqueous)were subjected to anti-inflammatory activity.Chloroform fraction showed good anti-inflammatory activity at dose of 200 mg/kg.Chloroform fraction was then subjected to normal phase silica gel column chromatography and eluted with petroleum ether-chloroform,chloroform-ethyl acetate mixtures of increasing polarity which produced 15 fractions(F1-F15).Only fractions F1,F2,F4,F5,F7,F9,F11 and F14 were found to be active,hence these were analyzed with HPTLC to develop their finger print profile.These fractions showed different spots with different R_f values.Conclusions:The different chloroform fractions F1,F2,F4,F5,F7,F9,F11 and F14 revealed 4,7,7,8,9,7,7 and 6 major spots,respectively.The results obtained in this experiment strongly support and validate the traditional uses of this Sudanese medicinal plant.展开更多
Bacillus cereus is an opportunistic pathogen causing food poisoning manifested by diarrhoeal or emetic syndrome. It is closely related to animal and human pathogens Bacillus anthracis and the insect pathogen Bacillus ...Bacillus cereus is an opportunistic pathogen causing food poisoning manifested by diarrhoeal or emetic syndrome. It is closely related to animal and human pathogens Bacillus anthracis and the insect pathogen Bacillus thuringiensis. In the present study, antibiotic resistance, heavy metal tolerance &molecular typing of Bacillus cereus from diverse sources such as soil, sewage water, air, fresh water, sea water and milk were studied. Bacillus cereus resistant to Penicillin (10 units/ml) and Amoxycillin (10 µg/ml);sensitive to Cobalt and Mercury even at 1 mM concentration were determined. All the isolate had plasmid ranging in number from 3-5 and their molecular weight ranged from 3.0 kb-2.0 kb. Plasmid DNA band specific to 6,557 bp has been found in Bacillus cereus isolated from sewage water, air, fresh water, sea water and milk.展开更多
Finger Knuckle Print biometric plays a vital role in establishing security for real-time environments. The success of human authentication depends on high speed and accuracy. This paper proposed an integrated approach...Finger Knuckle Print biometric plays a vital role in establishing security for real-time environments. The success of human authentication depends on high speed and accuracy. This paper proposed an integrated approach of personal authentication using texture based Finger Knuckle Print (FKP) recognition in multiresolution domain. FKP images are rich in texture patterns. Recently, many texture patterns are proposed for biometric feature extraction. Hence, it is essential to review whether Local Binary Patterns or its variants perform well for FKP recognition. In this paper, Local Directional Pattern (LDP), Local Derivative Ternary Pattern (LDTP) and Local Texture Description Framework based Modified Local Directional Pattern (LTDF_MLDN) based feature extraction in multiresolution domain are experimented with Nearest Neighbor and Extreme Learning Machine (ELM) Classifier for FKP recognition. Experiments were conducted on PolYU database. The result shows that LDTP in Contourlet domain achieves a promising performance. It also proves that Soft classifier performs better than the hard classifier.展开更多
[Objectives]To establish HPLC finger-print of Marchantia convolute Gao et Chang,and to control the quality of medicinal materials. [Methods] Agilent ZORBAX SB-C18 chromatographic column( 4. 6 mm × 250 mm,5μm) wa...[Objectives]To establish HPLC finger-print of Marchantia convolute Gao et Chang,and to control the quality of medicinal materials. [Methods] Agilent ZORBAX SB-C18 chromatographic column( 4. 6 mm × 250 mm,5μm) was adopted,acetonitrile( B)-0. 1% phosphoric solution( D) was used as the mobile phase( gradient elution),and the detection was conducted at the wavelength of 230 nm and at the column temperature of 25℃. HPLC finger-print of herb materials in the upland-field was established,and 8 lots of medicinal materials were used for the similarity assessment to establish the finger-print. [Results] Theprecision,repeatability and stability RSD of HPLC finger-prints of the 8 lots of Marchantia convoluta Gao et Chang were all less than 3%,and their similarities were all greater than 0. 75; 6 common peaks were observed,and the control finger-print was also established. [Conclusions] With reliable data and simple and efficient manipulations,HPLC finger-print analysis can provide references for the quality assessment of Marchantia convoluta Gao et Chang.展开更多
In recent years,biometric sensors are applicable for identifying impor-tant individual information and accessing the control using various identifiers by including the characteristics like afingerprint,palm print,iris r...In recent years,biometric sensors are applicable for identifying impor-tant individual information and accessing the control using various identifiers by including the characteristics like afingerprint,palm print,iris recognition,and so on.However,the precise identification of human features is still physically chal-lenging in humans during their lifetime resulting in a variance in their appearance or features.In response to these challenges,a novel Multimodal Biometric Feature Extraction(MBFE)model is proposed to extract the features from the noisy sen-sor data using a modified Ranking-based Deep Convolution Neural Network(RDCNN).The proposed MBFE model enables the feature extraction from differ-ent biometric images that includes iris,palm print,and lip,where the images are preprocessed initially for further processing.The extracted features are validated after optimal extraction by the RDCNN by splitting the datasets to train the fea-ture extraction model and then testing the model with different sets of input images.The simulation is performed in matlab to test the efficacy of the modal over multi-modal datasets and the simulation result shows that the proposed meth-od achieves increased accuracy,precision,recall,and F1 score than the existing deep learning feature extraction methods.The performance improvement of the MBFE Algorithm technique in terms of accuracy,precision,recall,and F1 score is attained by 0.126%,0.152%,0.184%,and 0.38%with existing Back Propaga-tion Neural Network(BPNN),Human Identification Using Wavelet Transform(HIUWT),Segmentation Methodology for Non-cooperative Recognition(SMNR),Daugman Iris Localization Algorithm(DILA)feature extraction techni-ques respectively.展开更多
基金Supported by The National Natural Science Foundation of China,No. 30640071
文摘AIM:To explore the method for early diagnosis of gastric cancer by screening the expression spectrum of saliva protein in gastric cancer patients using mass spectrometry for proteomics.METHODS:Proportional peptide mass fingerprints were obtained by analysis based on proteomics matrix-assisted laser desorption ionization time-of-flight/mass spectrometry.A diagnosis model was established using weak cation exchange magnetic beads to test saliva specimens from gastric cancer patients and healthy subjects.RESULTS:Significant differences were observed in the mass to charge ratio(m/z) peaks of four proteins(1472.78 Da,2936.49 Da,6556.81 Da and 7081.17 Da) between gastric cancer patients and healthy subjects.CONCLUSION:The finger print mass spectrum of saliva protein in patients with gastric cancer can be established using gastric cancer proteomics.A diagnostic model for distinguishing protein expression mass spectra of gastric cancer from non-gastric-cancer saliva can be established according to the different expression of proteins 1472.78 Da,2936.49 Da,6556.81 Da and 7081.17 Da.The method for early diagnosis of gastric cancer is of certain value for screening special biological markers.
基金Project supports from the National Science Foundation of China(No.51134024)the National High Technology Research and development Program of China(No.2012AA062203)are acknowledged
文摘To position personnel in mines, the study discussed in this paper built on the tunnel personnel positioning method on the basis of both TOA and location-finger print(LFP) positioning. Given non-line of sight(NLOS) time delay in signal transmission caused by facilities and equipment shielding in tunnels and TOA measurement errors in both LFP database data and real-time data, this paper puts forth a database data de-noising algorithm based on distance threshold limitation and modified mean filtering(MMF), as well as a real-time data suppression algorithm based on speed threshold limitation and MMF.On this basis, a nearest neighboring data matching algorithm based on historical location and the speed threshold limitation is used to estimate personnel location and realize accurate personnel positioning.The results from both simulation and the experiment suggest that: compared with the basic LFP positioning method and the method that only suppresses real-time data error, the tunnel personnel positioning methods based on TOA and modified LFP positioning permits effectively eliminating error in TOA measurement, making the measured data close to the true positional data, and dropping the positioning error:the maximal positioning error in measurements from experiment drops by 9 and 3 m, respectively, and the positioning accuracy of 3 m is achievable in the condition used in the experiment.
基金Supported by the Deanship of Research in King Saud University(Grant No.RGP-VPP-150)
文摘Objective:To develop HPTLC fingerprint profile of anti-inflammatory active extract fractions of Tribulus terrestris(family Zygophyllaceae).Methods:The anti-inflammatory activity was tested for the methanol and its fractions(chloroform,ethyl acetate,n-butanol and aqueous)and chloroform extract of Tribulus terrestris(aerial parts)by injecting different groups of rats(6 each)with carrageenan in hind paw and measuring the edema volume before and 1,2 and 3 h after carrageenan injection.Control group received saline i.p.The extracts treatment was injected i.p.in doses of 200 mg/kg 1 h before carrageenan administration.Indomethacin(30 mg/kg)was used as standard.HPTLC studies were carried out using CAMAG HPTLC system equipped with Linomat IV applicator.TLC scanner 3.Reprostar 3,CAMAG ADC 2 and WIN CATS-4 software for the active fractions of chloroform fraction of methanol extract.Results:The methanol extract showed good antiedematous effect with percentage of inhibition more than 72%,indicating its ability to inhibit the inflammatory mediators.The methanol extract was re-dissolved in 100 mL of distilled water and fractionated with chloroform,ethyl acetate and n-butanol.The four fractions(chloroform,ethyl acetate,n-butanol and aqueous)were subjected to anti-inflammatory activity.Chloroform fraction showed good anti-inflammatory activity at dose of 200 mg/kg.Chloroform fraction was then subjected to normal phase silica gel column chromatography and eluted with petroleum ether-chloroform,chloroform-ethyl acetate mixtures of increasing polarity which produced 15 fractions(F1-F15).Only fractions F1,F2,F4,F5,F7,F9,F11 and F14 were found to be active,hence these were analyzed with HPTLC to develop their finger print profile.These fractions showed different spots with different R_f values.Conclusions:The different chloroform fractions F1,F2,F4,F5,F7,F9,F11 and F14 revealed 4,7,7,8,9,7,7 and 6 major spots,respectively.The results obtained in this experiment strongly support and validate the traditional uses of this Sudanese medicinal plant.
文摘Bacillus cereus is an opportunistic pathogen causing food poisoning manifested by diarrhoeal or emetic syndrome. It is closely related to animal and human pathogens Bacillus anthracis and the insect pathogen Bacillus thuringiensis. In the present study, antibiotic resistance, heavy metal tolerance &molecular typing of Bacillus cereus from diverse sources such as soil, sewage water, air, fresh water, sea water and milk were studied. Bacillus cereus resistant to Penicillin (10 units/ml) and Amoxycillin (10 µg/ml);sensitive to Cobalt and Mercury even at 1 mM concentration were determined. All the isolate had plasmid ranging in number from 3-5 and their molecular weight ranged from 3.0 kb-2.0 kb. Plasmid DNA band specific to 6,557 bp has been found in Bacillus cereus isolated from sewage water, air, fresh water, sea water and milk.
文摘Finger Knuckle Print biometric plays a vital role in establishing security for real-time environments. The success of human authentication depends on high speed and accuracy. This paper proposed an integrated approach of personal authentication using texture based Finger Knuckle Print (FKP) recognition in multiresolution domain. FKP images are rich in texture patterns. Recently, many texture patterns are proposed for biometric feature extraction. Hence, it is essential to review whether Local Binary Patterns or its variants perform well for FKP recognition. In this paper, Local Directional Pattern (LDP), Local Derivative Ternary Pattern (LDTP) and Local Texture Description Framework based Modified Local Directional Pattern (LTDF_MLDN) based feature extraction in multiresolution domain are experimented with Nearest Neighbor and Extreme Learning Machine (ELM) Classifier for FKP recognition. Experiments were conducted on PolYU database. The result shows that LDTP in Contourlet domain achieves a promising performance. It also proves that Soft classifier performs better than the hard classifier.
基金Supported by National Natural Science Foundation of China(NSFC)(No.81260620)Zhuang Yao Medicines Collaborative Innovation Center[Gui JKY(2013)No.20]+2 种基金Guangxi Zhuang Yao Medicines Key Laboratory[Gui KJZ(2014)No.32]Guangxi Key Disciplines on Zhuang Medicine[Gui JKY(2013)No.16]Studies of Bagui Scholars on Innovation Theory and Efficacy of TCM
文摘[Objectives]To establish HPLC finger-print of Marchantia convolute Gao et Chang,and to control the quality of medicinal materials. [Methods] Agilent ZORBAX SB-C18 chromatographic column( 4. 6 mm × 250 mm,5μm) was adopted,acetonitrile( B)-0. 1% phosphoric solution( D) was used as the mobile phase( gradient elution),and the detection was conducted at the wavelength of 230 nm and at the column temperature of 25℃. HPLC finger-print of herb materials in the upland-field was established,and 8 lots of medicinal materials were used for the similarity assessment to establish the finger-print. [Results] Theprecision,repeatability and stability RSD of HPLC finger-prints of the 8 lots of Marchantia convoluta Gao et Chang were all less than 3%,and their similarities were all greater than 0. 75; 6 common peaks were observed,and the control finger-print was also established. [Conclusions] With reliable data and simple and efficient manipulations,HPLC finger-print analysis can provide references for the quality assessment of Marchantia convoluta Gao et Chang.
文摘In recent years,biometric sensors are applicable for identifying impor-tant individual information and accessing the control using various identifiers by including the characteristics like afingerprint,palm print,iris recognition,and so on.However,the precise identification of human features is still physically chal-lenging in humans during their lifetime resulting in a variance in their appearance or features.In response to these challenges,a novel Multimodal Biometric Feature Extraction(MBFE)model is proposed to extract the features from the noisy sen-sor data using a modified Ranking-based Deep Convolution Neural Network(RDCNN).The proposed MBFE model enables the feature extraction from differ-ent biometric images that includes iris,palm print,and lip,where the images are preprocessed initially for further processing.The extracted features are validated after optimal extraction by the RDCNN by splitting the datasets to train the fea-ture extraction model and then testing the model with different sets of input images.The simulation is performed in matlab to test the efficacy of the modal over multi-modal datasets and the simulation result shows that the proposed meth-od achieves increased accuracy,precision,recall,and F1 score than the existing deep learning feature extraction methods.The performance improvement of the MBFE Algorithm technique in terms of accuracy,precision,recall,and F1 score is attained by 0.126%,0.152%,0.184%,and 0.38%with existing Back Propaga-tion Neural Network(BPNN),Human Identification Using Wavelet Transform(HIUWT),Segmentation Methodology for Non-cooperative Recognition(SMNR),Daugman Iris Localization Algorithm(DILA)feature extraction techni-ques respectively.
