Near Infrared spectroscopy(NIRS)has been widely used in the discrimination(classification)of pharmaceutical drugs.In real applications,however,the class imbalance of the drug samples,i.e.,the number of one drug sample...Near Infrared spectroscopy(NIRS)has been widely used in the discrimination(classification)of pharmaceutical drugs.In real applications,however,the class imbalance of the drug samples,i.e.,the number of one drug sample may be much larger than the number of the other drugs,deceasesdrastically the discrimination performance of the classification models.To address this classimbalance problem,a new computational method--the scaled convex hull(SCH)-basedmaximum margin classifier is proposed in this paper.By a suitable selection of the reductionfactor of the SCHs generated by the two classes of drug samples,respectively,the maximalmargin classifier bet ween SCHs can be constructed which can obtain good classification per-formance.With an optimization of the parameters involved in the modeling by Cuckoo Search,a satisfied model is achieved for the classification of the drug.The experiments on spectra samplesproduced by a pharmaceutical company show that the proposed method is more effective androbust than the existing ones.展开更多
Epilepsy is a severe,relapsing,and multifactorial neurological disorder.Studies regarding the accurate diagnosis,prognosis,and in-depth pathogenesis are crucial for the precise and effective treatment of epilepsy.The ...Epilepsy is a severe,relapsing,and multifactorial neurological disorder.Studies regarding the accurate diagnosis,prognosis,and in-depth pathogenesis are crucial for the precise and effective treatment of epilepsy.The pathogenesis of epilepsy is complex and involves alterations in variables such as gene expression,protein expression,ion channel activity,energy metabolites,and gut microbiota composition.Satisfactory results are lacking for conventional treatments for epilepsy.Surgical resection of lesions,drug therapy,and non-drug interventions are mainly used in clinical practice to treat pain associated with epilepsy.Non-pharmacological treatments,such as a ketogenic diet,gene therapy for nerve regeneration,and neural regulation,are currently areas of research focus.This review provides a comprehensive overview of the pathogenesis,diagnostic methods,and treatments of epilepsy.It also elaborates on the theoretical basis,treatment modes,and effects of invasive nerve stimulation in neurotherapy,including percutaneous vagus nerve stimulation,deep brain electrical stimulation,repetitive nerve electrical stimulation,in addition to non-invasive transcranial magnetic stimulation and transcranial direct current stimulation.Numerous studies have shown that electromagnetic stimulation-mediated neuromodulation therapy can markedly improve neurological function and reduce the frequency of epileptic seizures.Additionally,many new technologies for the diagnosis and treatment of epilepsy are being explored.However,current research is mainly focused on analyzing patients’clinical manifestations and exploring relevant diagnostic and treatment methods to study the pathogenesis at a molecular level,which has led to a lack of consensus regarding the mechanisms related to the disease.展开更多
Near infrared spectroscopy(NIRS)analysis technology,combined with chemometrics,can be effectively used in quick and nondestructive analysis of quality and category.In this paper,an effective drug identification method...Near infrared spectroscopy(NIRS)analysis technology,combined with chemometrics,can be effectively used in quick and nondestructive analysis of quality and category.In this paper,an effective drug identification method by using deep belief network(DBN)with dropout mecha-nism(dropout-DBN)to model NIRS is introduced,in which dropout is employed to overcome the overfitting problem coming from the small sample.This paper tests proposed method under datasets of different sizes with the example of near infrared diffuse refectance spectroscopy of erythromycin ethylsuccinate drugs and other drugs,aluminum and nonaluminum packaged.Meanwhile,it gives experiments to compare the proposed method's performance with back propagation(BP)neural network,support vector machines(SVMs)and sparse denoising auto-encoder(SDAE).The results show that for both binary classification and multi-classification,dropout mechanism can improve the classification accuracy,and dropout-DBN can achieve best classification accuracy in almost all cases.SDAE is similar to dropout-DBN in the aspects of classification accuracy and algorithm stability,which are higher than that of BP neural network and SVM methods.In terms of training time,dropout-DBN model is superior to SDAE model,but inferior to BP neural network and SVM methods.Therefore,dropout-DBN can be used as a modeling tool with effective binary and multi-class classification performance on a spectrum sample set of small size.展开更多
Background:Drug utilization evaluation(DUE)is defined by the World Health Organization(WHO)and focuses on the medical,social,and economic consequences of pharmaceutical marketing,distribution,prescribing,and usage in ...Background:Drug utilization evaluation(DUE)is defined by the World Health Organization(WHO)and focuses on the medical,social,and economic consequences of pharmaceutical marketing,distribution,prescribing,and usage in society.The WHO recommends a physician to every 1000 people.According to the recent data from the Health Ministry in 2019,in which 1.16 million doctors are of active population with just 80%,or 0.9 million,practicing.As a result,a ratio of 0.68 doctors for every 1000 people,which is much below as per the WHO reports.This article describes history,types,WHO guidelines,need and purpose of DUE.Objective:The main aim of this paper is to provide information about the rational use of medication in outpatient and inpatient department with special emphasis of DUEs.It also provides awareness directly to healthcare professionals,researchers,academicians,pharmacist and nurses to reduce the irrationality of medicines.Methods:The method used to compile this review information gathered from websites,Google scholar,PubMed,Research gate,and studies published on DUE from July 20 to Oct 22 were included as source of information.Results:We studied more than 35 published study on DUE,that reveals most of the physicians prescribed branded drugs not generic drugs,but WHO prescribing indicator allows to prescribe generic drugs in the hospital pharmacy to maintain better inventory control.It may also help to prevent pharmacist misunderstanding during dispensing.Conclusion:The use of generic prescription names avoids the possibility of medication product duplication and lowers patient costs.It is important to remember that incorrect medication prescriptions have impact on both patients and their family members.WHO indicators identify irrational prescribing behaviours to make therapy more rational and cost-effective.展开更多
Drug hypersensitivity reaction (DHR) is defined as an immunologically mediated response to a pharmacology agent. Some reactions require prior sensitization and some do not. The interactions between different drugs and...Drug hypersensitivity reaction (DHR) is defined as an immunologically mediated response to a pharmacology agent. Some reactions require prior sensitization and some do not. The interactions between different drugs and the immune system occur by different mechanisms leading to variable clinical features. Some reactions are simple and do not alter patient quality of life. Some are life threatening and require immediate recognition and appropriate therapy. Confirming the diagnosis of DHR is often challenging. The environment in the Intensive care units (ICU) is considered high risk place for DHR development as it offers most of the risk factors. In this review, we offer a delicate combined approach that allows an accurate diagnosis of most of the DHRs encountered in the ICU.展开更多
Small cell lung cancer(SCLC)is a highly malignant tumor with a very poor prognosis;therefore,more effective treatments are urgently needed for patients afflicted with the disease.In recent years,emerging molecular cla...Small cell lung cancer(SCLC)is a highly malignant tumor with a very poor prognosis;therefore,more effective treatments are urgently needed for patients afflicted with the disease.In recent years,emerging molecular classifications based on key transcription factors of SCLC have provided more information on the tumor pathophysiology,metastasis,immune microenvironment,and acquired therapeutic resistance and reflected the intertumoral heterogeneity of the various SCLC phenotypes.Additionally,advances in genomics and single-cell sequencing analysis have further revealed the high intratumoral heterogeneity and plasticity of the disease.Herein,we review and summarize these recent lines of evidence and discuss the possible pathogenesis of SCLC.展开更多
The electroencephalogram(EEG)rhythm and functional near-infrared spectroscopy(fNIRS)activation levels have not been compared between a healthy control group(HCG)and methamphetamine user group(MUG)with different addict...The electroencephalogram(EEG)rhythm and functional near-infrared spectroscopy(fNIRS)activation levels have not been compared between a healthy control group(HCG)and methamphetamine user group(MUG)with different addiction histories.This study used 64-electrode EEG and fNIRS to conduct an experiment that analyzed the resting and craving states.The EEG and fNIRS data of 56 participants were collected,including 14 healthy participants,14 methamphetamine users with an addiction history of 0.5–5 years,14 users with an addiction history of 5–10 years,and 14 users with an addiction history of 10–15 years.Isolated effective coherence(iCoh)within the brain network was used to process the EEG data.Statistical analysis was performed to compare differences in iCoh among the delta,theta,alpha,beta,and gamma bands and explore oxyhemoglobin activation levels in the ventrolateral prefrontal cortex,dorsolateral prefrontal cortex,orbitofrontal cortex,and frontopolar prefrontal cortex(FPC)of the control group.Finally,the Kmeans,Gaussian mixed model(GMM),linear discriminant analysis(LDA),support vector machine(SVM),Bayes,and convolutional neural networks(CNN)algorithms were used to classify methamphetamine users based on drug and neutral images.A 3-class accuracy was achieved.Changes in EEG and fNIRS activation levels of HCG and MUG with varied addiction histories were demonstrated.展开更多
基金funded by the National Nat ural Science Foundation of China(Grant Nos.61105004,61071136and 21365008)Natural Science Foundation of Guangxi(Grant No.2013GXNSFBA019279)Innovation Project of GUET Graduate Education(No.ZYC0725).
文摘Near Infrared spectroscopy(NIRS)has been widely used in the discrimination(classification)of pharmaceutical drugs.In real applications,however,the class imbalance of the drug samples,i.e.,the number of one drug sample may be much larger than the number of the other drugs,deceasesdrastically the discrimination performance of the classification models.To address this classimbalance problem,a new computational method--the scaled convex hull(SCH)-basedmaximum margin classifier is proposed in this paper.By a suitable selection of the reductionfactor of the SCHs generated by the two classes of drug samples,respectively,the maximalmargin classifier bet ween SCHs can be constructed which can obtain good classification per-formance.With an optimization of the parameters involved in the modeling by Cuckoo Search,a satisfied model is achieved for the classification of the drug.The experiments on spectra samplesproduced by a pharmaceutical company show that the proposed method is more effective androbust than the existing ones.
基金supported by the National Natural Science Foundation of China,No.32130060(to XG).
文摘Epilepsy is a severe,relapsing,and multifactorial neurological disorder.Studies regarding the accurate diagnosis,prognosis,and in-depth pathogenesis are crucial for the precise and effective treatment of epilepsy.The pathogenesis of epilepsy is complex and involves alterations in variables such as gene expression,protein expression,ion channel activity,energy metabolites,and gut microbiota composition.Satisfactory results are lacking for conventional treatments for epilepsy.Surgical resection of lesions,drug therapy,and non-drug interventions are mainly used in clinical practice to treat pain associated with epilepsy.Non-pharmacological treatments,such as a ketogenic diet,gene therapy for nerve regeneration,and neural regulation,are currently areas of research focus.This review provides a comprehensive overview of the pathogenesis,diagnostic methods,and treatments of epilepsy.It also elaborates on the theoretical basis,treatment modes,and effects of invasive nerve stimulation in neurotherapy,including percutaneous vagus nerve stimulation,deep brain electrical stimulation,repetitive nerve electrical stimulation,in addition to non-invasive transcranial magnetic stimulation and transcranial direct current stimulation.Numerous studies have shown that electromagnetic stimulation-mediated neuromodulation therapy can markedly improve neurological function and reduce the frequency of epileptic seizures.Additionally,many new technologies for the diagnosis and treatment of epilepsy are being explored.However,current research is mainly focused on analyzing patients’clinical manifestations and exploring relevant diagnostic and treatment methods to study the pathogenesis at a molecular level,which has led to a lack of consensus regarding the mechanisms related to the disease.
基金the National Natural Science Foundation of China(Grant Nos.21365008 and 61562013)Natural Science.Foundation of Guangxi(Grant No.2013GXNSFBA019279)Innovation Project of GUET Graduate.Education(Grant Nos.GDYCSZ201474 and GDYCSZ201478).
文摘Near infrared spectroscopy(NIRS)analysis technology,combined with chemometrics,can be effectively used in quick and nondestructive analysis of quality and category.In this paper,an effective drug identification method by using deep belief network(DBN)with dropout mecha-nism(dropout-DBN)to model NIRS is introduced,in which dropout is employed to overcome the overfitting problem coming from the small sample.This paper tests proposed method under datasets of different sizes with the example of near infrared diffuse refectance spectroscopy of erythromycin ethylsuccinate drugs and other drugs,aluminum and nonaluminum packaged.Meanwhile,it gives experiments to compare the proposed method's performance with back propagation(BP)neural network,support vector machines(SVMs)and sparse denoising auto-encoder(SDAE).The results show that for both binary classification and multi-classification,dropout mechanism can improve the classification accuracy,and dropout-DBN can achieve best classification accuracy in almost all cases.SDAE is similar to dropout-DBN in the aspects of classification accuracy and algorithm stability,which are higher than that of BP neural network and SVM methods.In terms of training time,dropout-DBN model is superior to SDAE model,but inferior to BP neural network and SVM methods.Therefore,dropout-DBN can be used as a modeling tool with effective binary and multi-class classification performance on a spectrum sample set of small size.
文摘Background:Drug utilization evaluation(DUE)is defined by the World Health Organization(WHO)and focuses on the medical,social,and economic consequences of pharmaceutical marketing,distribution,prescribing,and usage in society.The WHO recommends a physician to every 1000 people.According to the recent data from the Health Ministry in 2019,in which 1.16 million doctors are of active population with just 80%,or 0.9 million,practicing.As a result,a ratio of 0.68 doctors for every 1000 people,which is much below as per the WHO reports.This article describes history,types,WHO guidelines,need and purpose of DUE.Objective:The main aim of this paper is to provide information about the rational use of medication in outpatient and inpatient department with special emphasis of DUEs.It also provides awareness directly to healthcare professionals,researchers,academicians,pharmacist and nurses to reduce the irrationality of medicines.Methods:The method used to compile this review information gathered from websites,Google scholar,PubMed,Research gate,and studies published on DUE from July 20 to Oct 22 were included as source of information.Results:We studied more than 35 published study on DUE,that reveals most of the physicians prescribed branded drugs not generic drugs,but WHO prescribing indicator allows to prescribe generic drugs in the hospital pharmacy to maintain better inventory control.It may also help to prevent pharmacist misunderstanding during dispensing.Conclusion:The use of generic prescription names avoids the possibility of medication product duplication and lowers patient costs.It is important to remember that incorrect medication prescriptions have impact on both patients and their family members.WHO indicators identify irrational prescribing behaviours to make therapy more rational and cost-effective.
文摘Drug hypersensitivity reaction (DHR) is defined as an immunologically mediated response to a pharmacology agent. Some reactions require prior sensitization and some do not. The interactions between different drugs and the immune system occur by different mechanisms leading to variable clinical features. Some reactions are simple and do not alter patient quality of life. Some are life threatening and require immediate recognition and appropriate therapy. Confirming the diagnosis of DHR is often challenging. The environment in the Intensive care units (ICU) is considered high risk place for DHR development as it offers most of the risk factors. In this review, we offer a delicate combined approach that allows an accurate diagnosis of most of the DHRs encountered in the ICU.
基金supported by grants from the Jilin Scientific and Technological Development Program(CN)(No.20190303146SF)General Program of National Natural Science Foundation of China(No.81874052)
文摘Small cell lung cancer(SCLC)is a highly malignant tumor with a very poor prognosis;therefore,more effective treatments are urgently needed for patients afflicted with the disease.In recent years,emerging molecular classifications based on key transcription factors of SCLC have provided more information on the tumor pathophysiology,metastasis,immune microenvironment,and acquired therapeutic resistance and reflected the intertumoral heterogeneity of the various SCLC phenotypes.Additionally,advances in genomics and single-cell sequencing analysis have further revealed the high intratumoral heterogeneity and plasticity of the disease.Herein,we review and summarize these recent lines of evidence and discuss the possible pathogenesis of SCLC.
基金supported by Shanghai Municipal Science and Technology Plan Project(No.22010502400)National Natural Science Foundation of China(Nos.82072228,92048205,and 62376149).
文摘The electroencephalogram(EEG)rhythm and functional near-infrared spectroscopy(fNIRS)activation levels have not been compared between a healthy control group(HCG)and methamphetamine user group(MUG)with different addiction histories.This study used 64-electrode EEG and fNIRS to conduct an experiment that analyzed the resting and craving states.The EEG and fNIRS data of 56 participants were collected,including 14 healthy participants,14 methamphetamine users with an addiction history of 0.5–5 years,14 users with an addiction history of 5–10 years,and 14 users with an addiction history of 10–15 years.Isolated effective coherence(iCoh)within the brain network was used to process the EEG data.Statistical analysis was performed to compare differences in iCoh among the delta,theta,alpha,beta,and gamma bands and explore oxyhemoglobin activation levels in the ventrolateral prefrontal cortex,dorsolateral prefrontal cortex,orbitofrontal cortex,and frontopolar prefrontal cortex(FPC)of the control group.Finally,the Kmeans,Gaussian mixed model(GMM),linear discriminant analysis(LDA),support vector machine(SVM),Bayes,and convolutional neural networks(CNN)algorithms were used to classify methamphetamine users based on drug and neutral images.A 3-class accuracy was achieved.Changes in EEG and fNIRS activation levels of HCG and MUG with varied addiction histories were demonstrated.
