In scenarios such as vehicle radiation monitoring and unmanned aerial vehicle radiation detection,rapid measurements using a NaI(Tl)detector often result in low photon counts,weak characteristic peaks,and significant ...In scenarios such as vehicle radiation monitoring and unmanned aerial vehicle radiation detection,rapid measurements using a NaI(Tl)detector often result in low photon counts,weak characteristic peaks,and significant statistical fluctuations.These issues can lead to potential failures in peak-searching-based identification methods.To address the low precision associated with short-duration measurements of radionuclides,this paper proposes an identification algorithm that leverages heterogeneous spectral transfer to develop a low-count energy spectral identification model.Comparative experiments demonstrated that transferring samples from 26 classes of simulated heterogeneous gamma spectra aids in creating a reliable model for measured gamma spectra.With only 10%of target domain samples used for training,the accuracy on real low-count spectral samples was 95.56%.This performance shows a significant improvement over widely employed full-spectrum analysis methods trained on target domain samples.The proposed method also exhibits strong generalization capabilities,effectively mitigating overfitting issues in low-count energy spectral classification under short-duration measurements.展开更多
This study introduces a novel algorithm to detect and identify radioactive materials in urban settings using time-series detector response data. To address the challenges posed by varying backgrounds and to enhance th...This study introduces a novel algorithm to detect and identify radioactive materials in urban settings using time-series detector response data. To address the challenges posed by varying backgrounds and to enhance the quality and reliability of the energy spectrum data, we devised a temporal energy window. This partitioned the time-series detector response data, resulting in energy spectra that emphasize the vital information pertaining to radioactive materials. We then extracted characteristic features of these energy spectra, relying on the formation mechanism and measurement principles of the gammaray instrument spectrum. These features encompassed aggregated counts, peak-to-flat ratios, and peak-to-peak ratios. This methodology not only simplified the interpretation of the energy spectra's physical significance but also eliminated the necessity for peak searching and individual peak analyses. Given the requirements of imbalanced multi-classification, we created a detection and identification model using a weighted k-nearest neighbors(KNN) framework. This model recognized that energy spectra of identical radioactive materials exhibit minimal inter-class similarity. Consequently, it considerably boosted the classification accuracy of minority classes, enhancing the classifier's overall efficacy. We also executed a series of comparative experiments. Established methods for radionuclide identification classification, such as standard KNN, support vector machine, Bayesian network, and random tree, were used for comparison purposes. Our proposed algorithm realized an F1 measure of 0.9868 on the time-series detector response data, reflecting a minimum enhancement of 0.3% in comparison with other techniques. The results conclusively show that our algorithm outperforms others when applied to time-series detector response data in urban contexts.展开更多
Objective:Based on the database of Traditional Chinese Medicine Prescription Dictionary,the prescription medication rules of oral administration of traditional Chinese medicine in the treatment of breast carbuncle wer...Objective:Based on the database of Traditional Chinese Medicine Prescription Dictionary,the prescription medication rules of oral administration of traditional Chinese medicine in the treatment of breast carbuncle were explored by using the software of Traditional Chinese Medicine Inheritance Support System(V2.5).Methods:To screen and retrieve the prescriptions for treating breast carbuncle in the Traditional Chinese Medicine Prescription Dictionary,and data mining was carried out by using association rule algorithm,complex system entropy clustering and so on.Results:A total of 208 prescriptions which met the inclusion criteria were selected,involving 175 traditional Chinese medicines.Among them,23 medicines were found to be more than 21 times in the treatment of breast carbuncle.The nature of the medicine is mainly cold or warm,the flavour of the medicine is mainly bitter or sweet,most of them belong to the spleen,liver,stomach.15 commonly used drug combinations and 9 new prescriptions were obtained.Conclusion:The key pathogenesis of breast carbuncle is liver depression and Qi stagnation,stomach heat blocking collaterals,the treatment is mainly to clear heat and detoxify,regulate Qi to diffuse the knot,which provides reference for the choose of traditional Chinese medicine prescription in treating breast carbuncle.展开更多
Objective:Based on the Traditional Chinese Medicine Inheritance System version 2.5 to explore the rule of medication used in internal traditional Chinese medicine for cholelithiasis in the national patent network.Meth...Objective:Based on the Traditional Chinese Medicine Inheritance System version 2.5 to explore the rule of medication used in internal traditional Chinese medicine for cholelithiasis in the national patent network.Method:Collect the internal administrations of cholelithiasis in the national patent network,and enter them into the Chinese medicine inheritance system version 2.5,adopt frequency analysis,association rules,complex system entropy clustering and other data mining methods to analyze the prescription rule of traditional Chinese medicine cholelithiasis.Results:According to the inclusion and exclusion criteria,215 prescriptions were selected,involving 398 drugs,30 drugs with a frequency of>20,and 39 commonly used drug pairs.The core drugs are:Jinqiancao(Herba Lysimachiae),Yujin(Radix Curcumae),Chaihu(Radix Bupleuri),Yinchen(Herba Artemisiae Scopariae),Jineijin(Endothelium Corneum Gigeriae Galli),Dahuang(Radix et Rhizoma Rhei),Gancao(Radix Glycyrrhizae),Huangqin(Radix Scutellariae),Baishao(Raidix Paeoniae Alba),Muxiang(Radix Aucklandiae),Zhishi(Fructus Aurantii Immaturus),Yanhusuo(Rhizoma Corydalis),Huzhang(Rhizoma Polygoni Cuspidati),Haijinsha(Herba Lygodii).And 9 new prescriptions have been got.Conclusion:In the national patent network,the traditional Chinese medicine is used in the treatment of cholelithiasis.The main treatment is clearing heat and dampness,regulating Qi and relieving pain,and promoting gallbladder removing stone,providing reference for clinical treatment of cholelithiasis.展开更多
Malignant tumors,known as chronic wasting diseases,have a high risk of malnutrition.8%to 40%of cancer patients lose 10%or more of their weight.Malnutrition in digestive system cancer(28%−75%)is more common and more se...Malignant tumors,known as chronic wasting diseases,have a high risk of malnutrition.8%to 40%of cancer patients lose 10%or more of their weight.Malnutrition in digestive system cancer(28%−75%)is more common and more serious than in non-digestive system cancer(8%-46.9%)[1].The nutritional indexes such as BMI,Hb,ALB,PA,et al.of digestive system cancer patients are lower than those of non-digestive system cancer patients.Malnourished tumor patients have poor wound healing,prolonged hospital stay,increased cost,mortality and the incidence of complications[2].However,some studies have found that increased nutrition of tumor patients will promote the proliferation and spread of cancer cells and increase the chance of metastasis,which puts the nutritional treatment of tumors in a dilemma.Should cancer patients be treated with nutrition?展开更多
基金supported by the National Defense Fundamental Research Project(No.JCKY2022404C005)the Nuclear Energy Development Project(No.23ZG6106)+1 种基金the Sichuan Scientific and Technological Achievements Transfer and Transformation Demonstration Project(No.2023ZHCG0026)the Mianyang Applied Technology Research and Development Project(No.2021ZYZF1005)。
文摘In scenarios such as vehicle radiation monitoring and unmanned aerial vehicle radiation detection,rapid measurements using a NaI(Tl)detector often result in low photon counts,weak characteristic peaks,and significant statistical fluctuations.These issues can lead to potential failures in peak-searching-based identification methods.To address the low precision associated with short-duration measurements of radionuclides,this paper proposes an identification algorithm that leverages heterogeneous spectral transfer to develop a low-count energy spectral identification model.Comparative experiments demonstrated that transferring samples from 26 classes of simulated heterogeneous gamma spectra aids in creating a reliable model for measured gamma spectra.With only 10%of target domain samples used for training,the accuracy on real low-count spectral samples was 95.56%.This performance shows a significant improvement over widely employed full-spectrum analysis methods trained on target domain samples.The proposed method also exhibits strong generalization capabilities,effectively mitigating overfitting issues in low-count energy spectral classification under short-duration measurements.
基金supported by the National Defense Fundamental Research Projects (Nos. JCKY2020404C004 and JCKY2022404C005)Sichuan Science and Technology Program (No. 22NSFSC0044)。
文摘This study introduces a novel algorithm to detect and identify radioactive materials in urban settings using time-series detector response data. To address the challenges posed by varying backgrounds and to enhance the quality and reliability of the energy spectrum data, we devised a temporal energy window. This partitioned the time-series detector response data, resulting in energy spectra that emphasize the vital information pertaining to radioactive materials. We then extracted characteristic features of these energy spectra, relying on the formation mechanism and measurement principles of the gammaray instrument spectrum. These features encompassed aggregated counts, peak-to-flat ratios, and peak-to-peak ratios. This methodology not only simplified the interpretation of the energy spectra's physical significance but also eliminated the necessity for peak searching and individual peak analyses. Given the requirements of imbalanced multi-classification, we created a detection and identification model using a weighted k-nearest neighbors(KNN) framework. This model recognized that energy spectra of identical radioactive materials exhibit minimal inter-class similarity. Consequently, it considerably boosted the classification accuracy of minority classes, enhancing the classifier's overall efficacy. We also executed a series of comparative experiments. Established methods for radionuclide identification classification, such as standard KNN, support vector machine, Bayesian network, and random tree, were used for comparison purposes. Our proposed algorithm realized an F1 measure of 0.9868 on the time-series detector response data, reflecting a minimum enhancement of 0.3% in comparison with other techniques. The results conclusively show that our algorithm outperforms others when applied to time-series detector response data in urban contexts.
文摘Objective:Based on the database of Traditional Chinese Medicine Prescription Dictionary,the prescription medication rules of oral administration of traditional Chinese medicine in the treatment of breast carbuncle were explored by using the software of Traditional Chinese Medicine Inheritance Support System(V2.5).Methods:To screen and retrieve the prescriptions for treating breast carbuncle in the Traditional Chinese Medicine Prescription Dictionary,and data mining was carried out by using association rule algorithm,complex system entropy clustering and so on.Results:A total of 208 prescriptions which met the inclusion criteria were selected,involving 175 traditional Chinese medicines.Among them,23 medicines were found to be more than 21 times in the treatment of breast carbuncle.The nature of the medicine is mainly cold or warm,the flavour of the medicine is mainly bitter or sweet,most of them belong to the spleen,liver,stomach.15 commonly used drug combinations and 9 new prescriptions were obtained.Conclusion:The key pathogenesis of breast carbuncle is liver depression and Qi stagnation,stomach heat blocking collaterals,the treatment is mainly to clear heat and detoxify,regulate Qi to diffuse the knot,which provides reference for the choose of traditional Chinese medicine prescription in treating breast carbuncle.
文摘Objective:Based on the Traditional Chinese Medicine Inheritance System version 2.5 to explore the rule of medication used in internal traditional Chinese medicine for cholelithiasis in the national patent network.Method:Collect the internal administrations of cholelithiasis in the national patent network,and enter them into the Chinese medicine inheritance system version 2.5,adopt frequency analysis,association rules,complex system entropy clustering and other data mining methods to analyze the prescription rule of traditional Chinese medicine cholelithiasis.Results:According to the inclusion and exclusion criteria,215 prescriptions were selected,involving 398 drugs,30 drugs with a frequency of>20,and 39 commonly used drug pairs.The core drugs are:Jinqiancao(Herba Lysimachiae),Yujin(Radix Curcumae),Chaihu(Radix Bupleuri),Yinchen(Herba Artemisiae Scopariae),Jineijin(Endothelium Corneum Gigeriae Galli),Dahuang(Radix et Rhizoma Rhei),Gancao(Radix Glycyrrhizae),Huangqin(Radix Scutellariae),Baishao(Raidix Paeoniae Alba),Muxiang(Radix Aucklandiae),Zhishi(Fructus Aurantii Immaturus),Yanhusuo(Rhizoma Corydalis),Huzhang(Rhizoma Polygoni Cuspidati),Haijinsha(Herba Lygodii).And 9 new prescriptions have been got.Conclusion:In the national patent network,the traditional Chinese medicine is used in the treatment of cholelithiasis.The main treatment is clearing heat and dampness,regulating Qi and relieving pain,and promoting gallbladder removing stone,providing reference for clinical treatment of cholelithiasis.
文摘Malignant tumors,known as chronic wasting diseases,have a high risk of malnutrition.8%to 40%of cancer patients lose 10%or more of their weight.Malnutrition in digestive system cancer(28%−75%)is more common and more serious than in non-digestive system cancer(8%-46.9%)[1].The nutritional indexes such as BMI,Hb,ALB,PA,et al.of digestive system cancer patients are lower than those of non-digestive system cancer patients.Malnourished tumor patients have poor wound healing,prolonged hospital stay,increased cost,mortality and the incidence of complications[2].However,some studies have found that increased nutrition of tumor patients will promote the proliferation and spread of cancer cells and increase the chance of metastasis,which puts the nutritional treatment of tumors in a dilemma.Should cancer patients be treated with nutrition?
