Objective:To explore the application value of artificial intelligence-assisted diagnostic systems in the computed tomography(CT)diagnosis of pulmonary nodules.Methods:A total of 80 patients with pulmonary nodules,trea...Objective:To explore the application value of artificial intelligence-assisted diagnostic systems in the computed tomography(CT)diagnosis of pulmonary nodules.Methods:A total of 80 patients with pulmonary nodules,treated from June 2023 to May 2024,were included.All patients underwent pathological examination and CT scans,with pathological results serving as the gold standard.The diagnostic performance of CT alone and CT combined with the artificial intelligence-assisted diagnostic system was analyzed,and differences in CT imaging features and evaluation results of benign and malignant pulmonary nodules were compared.Results:The sensitivity,specificity,and accuracy of CT combined with the artificial intelligence-assisted diagnostic system were significantly higher than those of CT alone(P<0.05).Moreover,the false-positive and false-negative rates were significantly lower for the combined approach compared to CT alone(P<0.05).Conclusion:The artificial intelligence-assisted diagnostic system effectively identifies malignant features in pulmonary nodules,providing valuable clinical reference data and enhancing diagnostic accuracy and efficiency.展开更多
A diagnostic system of soft x-ray diode-array was set up for HT-7 superconducting tokamak. The system consists of two slot-aperture cameras and is capable of measuring the soft x-ray emission from the plasma on HT-7 d...A diagnostic system of soft x-ray diode-array was set up for HT-7 superconducting tokamak. The system consists of two slot-aperture cameras and is capable of measuring the soft x-ray emission from the plasma on HT-7 device with a high resolution in space and a high response in time. Both cameras, located separately in a horizontal port and a vertical port each with thirty-seven detectors of An-Si surface-barrier diode (SBD) can view the same toroidal cross-section of the plasma from different poloidal chords. In this paper, the structure, principle and performance of the diagnostic system are described and some experimental results observed are presented.展开更多
Three categories of failure diagnostic methods for reciprocating compressors are classified according to the signals adopted by the diagnosis. They are parameter method, vibration method, and oil analysis method. In t...Three categories of failure diagnostic methods for reciprocating compressors are classified according to the signals adopted by the diagnosis. They are parameter method, vibration method, and oil analysis method. In this paper, the applicable range and operational difficulties of these methods are discussed on the basis of analysis and induction upon normal failure. It is proposed that a compressor's normal failure can be divided into thermodynamical property failure and mechanical function failure. As to the former, the parameter method that takes a cylinder pressure signal as the main diagnostic signal may be applied; and as to the latter, the vibration signal frequency spectrum can be used to diagnose. At the same time, the structure of an intelligent diagnostic system based on neural networks is introduced, and its schematic is given.展开更多
The hepatitis B virus is the most deadly virus,which significantly affects the human liver.The termination of the hepatitis B virus is mandatory and can be done by taking precautions as well as a suitable cure in its ...The hepatitis B virus is the most deadly virus,which significantly affects the human liver.The termination of the hepatitis B virus is mandatory and can be done by taking precautions as well as a suitable cure in its introductory stage;otherwise,it will become a severe problem and make a human liver suffer from the most dangerous diseases,such as liver cancer.In this paper,two medical diagnostic systems are developed for the diagnosis of this life-threatening virus.The methodologies used to develop thesemodels are fuzzy logic and the neuro-fuzzy technique.The diverse parameters that assist in the evaluation of performance are also determined by using the observed values from the proposed system for both developedmodels.The classification accuracy of a multilayered fuzzy inference system is 94%.The accuracy with which the developed medical diagnostic system by using Adaptive Network based Fuzzy Interference System(ANFIS)classifies the result corresponding to the given input is 95.55%.The comparison of both developed models on the basis of their performance parameters has been made.It is observed that the neuro-fuzzy technique-based diagnostic system has better accuracy in classifying the infected and non-infected patients as compared to the fuzzy diagnostic system.Furthermore,the performance evaluation concluded that the outcome given by the developed medical diagnostic system by using ANFIS is accurate and correct as compared to the developed fuzzy inference system and also can be used in hospitals for the diagnosis of Hepatitis B disease.In other words,the adaptive neuro-fuzzy inference system has more capability to classify the provided inputs adequately than the fuzzy inference system.展开更多
A multipulse and multipoint Nd：YAG （neodymium-yttrium aluminum garnet） laser Thomson scattering diagnostic system was developed on EAST to obtain more accurate electron temperature Te and electron density ne profil...A multipulse and multipoint Nd：YAG （neodymium-yttrium aluminum garnet） laser Thomson scattering diagnostic system was developed on EAST to obtain more accurate electron temperature Te and electron density ne profiles. In this paper, the optical system, the VME （versa module eurocard）-based real-time computer system for laser control, data acquisition, analysis and calibration are discussed in detail. Furthermore, a developed data processing method is presented.展开更多
A novel real time fast electron bremsstrahlung (FEB) diagnostic system based on the lutetium yttrium oxyorthosilicate scintillators (LYSO) and silicon photomultipliers (SiPM) has been developed for tokamak.The diagnos...A novel real time fast electron bremsstrahlung (FEB) diagnostic system based on the lutetium yttrium oxyorthosilicate scintillators (LYSO) and silicon photomultipliers (SiPM) has been developed for tokamak.The diagnostic system is dedicated to study the FEB emission in the hard x-ray (HXR) energy range between 10 and 200 keV during the lower hybrid current drive.The system consists of a detection module and three data acquisition and processing (DAP)boards.The detection module consists of annulus LYSO-SiPM detector array and a 12-channel preamplifier module.The DAP boards upload the data to the host computer for displaying and storing through PXI bus.The time and space resolutions of the system are 10 ms and 4 cm,respectively.The experimental results can show the evolution over time and the spatial distribution of FEB.This paper presents the system performance and typical discharge results.展开更多
Primary physical design of the Thomson scattering system for EAST, including the configuration of the system and the design considerations of different sections of the system, is presented. The expected measurability ...Primary physical design of the Thomson scattering system for EAST, including the configuration of the system and the design considerations of different sections of the system, is presented. The expected measurability of this design, namely an electron temperature of 513 eV to 5 keV and a plasma density beyond 0.5× 10^19 m^-3, fulfills the requirements of the EAST operation.展开更多
The development of cleaning optics and deposition-mitigating techniques is a key factor in the construction and operation of optical diagnostics in ITER. The cleaning of optical surface by pulsed radiation from a fibe...The development of cleaning optics and deposition-mitigating techniques is a key factor in the construction and operation of optical diagnostics in ITER. The cleaning of optical surface by pulsed radiation from a fiber laser is an effective method that can recover optical properties of the mirror surface. The possibility of cleaning metallic mirrors from films with complex composition by pulsed radiation from a fiber laser has been experimentally researched. It has been shown that the high initial reflection characteristics of optical elements can be recovered by choosing regimes of radiation effect on the deposited surface. Efficient cleaning is ensured by radiation with the power density of less than 107 W/cm2. At this relatively low power density, pollutions are removed in a solid phase and the thermal effect on the mirror is insignificant. Preliminary experiments of the metal mirrors cleaning by fiber laser radiation have demonstrated the possibility of hardware implementation techniques.展开更多
A 10-channel Hα diagnostic system has been designed with the rapid response rate of 300 kHz, spatial resolution of about 40 mm, and overlap between adjacent channels of about 3%, and it has been implemented successfu...A 10-channel Hα diagnostic system has been designed with the rapid response rate of 300 kHz, spatial resolution of about 40 mm, and overlap between adjacent channels of about 3%, and it has been implemented successfully on Keda Torus eXperiment(KTX), a newly constructed, reversed field pinch(RFP) experimental device at the University of Science and Technology of China(USTC). This diagnostic system is a very important tool for the initial KTX operations. It is compact,with an aperture slit replacing the traditional optical lens system. A flexural interference filter is designed to prevent the center wavelength from shifting too much as the increase of angle from vertical incidence. To eliminate the stray light,the interior of the system is covered with the black aluminum foil having a very high absorptivity. Using the Hαemission data, together with the profiles of electron temperature and density obtained from the Langmuir probe, the neutral density profiles have been calculated for KTX plasmas. The rapid response rate and good spatial resolution of this Hαdiagnostic system will be beneficial for many studies in RFP plasma physics.展开更多
Measurements of the total radiated power and its spatial distribution are crucial for fusion research.On the experimental advanced superconducting tokamak(EAST),both the metal foil resistive bolometer and the absolute...Measurements of the total radiated power and its spatial distribution are crucial for fusion research.On the experimental advanced superconducting tokamak(EAST),both the metal foil resistive bolometer and the absolute extreme ultraviolet(AXUV)photodiodes have been used to quantify the radiated power.This article introduces the latest improvement of the bolometer diagnostic system on EAST.It also details the successful design and installation of new divertor AXUV cameras,which are dedicated to the investigation of divertor physics.The shielding components of the bolometer detector have been refined,and the article provides a detailed exposition of the double shielding structures that have been verified as effective in microwave shielding.Additionally,the changes in the radiated power distribution in the divertor region during the plasma detachment process are measured using the divertor AXUV camera.Finally,the radiated power measured by the AXUV detector and metal foil resistive bolometer are compared,and different detector performances are presented.展开更多
A spectral diagnostic control system （SDCS） is developed to implement automatic process of the edge rotation diagnostic system on the J-TEXT tokamak. The SDCS contains a control module, data operation module, data a...A spectral diagnostic control system （SDCS） is developed to implement automatic process of the edge rotation diagnostic system on the J-TEXT tokamak. The SDCS contains a control module, data operation module, data analysis module, and data upload module. The core of this system is a newly developed software ＂Spectra Assist＂, which completes the whole process by coupling all related subroutines and servers. The results of data correction and calculated rotation are presented. In the daily discharge of J-TEXT, SDCS is proved to have a stable performance and high efficiency in completing the process of data acquisition, operation and results output.展开更多
Measurement of externalizing disorders such as antisocial disorders,attentiondeficit/hyperactivity disorder or borderline disorder have relevant implications for the daily lives of people with these disorders.While th...Measurement of externalizing disorders such as antisocial disorders,attentiondeficit/hyperactivity disorder or borderline disorder have relevant implications for the daily lives of people with these disorders.While the Diagnostic and Statistical Manual of Mental Disorders(DSM)and the International Classification of Diseases(ICD)have provided the diagnostic framework for decades,recent dimensional frameworks question the categorical approach of psychopathology,inherent in traditional nosotaxies.Tests and instruments develop under the DSM or ICD framework preferentially adopt this categorical approach,providing diagnostic labels.In contrast,dimensional measurement instruments provide an individualized profile for the domains that comprise the externalizing spectrum,but are less widely used in practice.Current paper aims to review the operational definitions of externalizing disorders defined under these different frameworks,revise the different measurement alternatives existing,and provide an integrative operational definition.First,an analysis of the operational definition of externalizing disorders among the DSM/ICD diagnostic systems and the recent Hierarchical Taxonomy of Psychopathology(HiTOP)model is carried out.Then,in order to analyze the coverage of operational definitions found,a description of measurement instruments among each conceptualization is provided.Three phases in the development of the ICD and DSM diagnosis systems can be observed with direct implications for measurement.ICD and DSM versions have progressively introduced systematicity,providing more detailed descriptions of diagnostic criteria and categories that ease the measurement instrument development.However,it is questioned whether the DSM/ICD systems adequately modelize externalizing disorders,and therefore their measurement.More recent theoretical approaches,such as the HiTOP model seek to overcome some of the criticism raised towards the classification systems.Nevertheless,several issues concerning this model raise mesasurement challenges.A revision of the instruments underneath each approach shows incomplete coverage of externalizing disorders among the existing instruments.Efforts to bring nosotaxies together with other theoretical models of psychopathology and personality are still needed.The integrative operational definition of externalizing disorders provided may help to gather clinical practice and research.展开更多
In paper it introduced a review of modem traction vehicle drive system with induction motor drive system （PMSM with single or dual rotor drive system） or BLDC motor with different configuration of magnetic circuits....In paper it introduced a review of modem traction vehicle drive system with induction motor drive system （PMSM with single or dual rotor drive system） or BLDC motor with different configuration of magnetic circuits. For particular part of drive system proposed a quasi intelligent control system version smart control enables multi criteria predictive control of vehicle work. In the paper presented also a selected diagnostic procedure, enables monitoring exploitation parameters, and prediction of probable failure state. For different vehicle work state realized a simulation models and crash test of exploitations failure models.展开更多
Objective To qualitatively assess the diagnostic performance of dynamic contrast enhancement(DCE),diffusionweighted imaging(DWI),and T2-weighted imaging(T2WI),alone or in combination,in the evaluation of breast cancer...Objective To qualitatively assess the diagnostic performance of dynamic contrast enhancement(DCE),diffusionweighted imaging(DWI),and T2-weighted imaging(T2WI),alone or in combination,in the evaluation of breast cancer.Methods We retrospectively reviewed the records of 394 consecutive patients with pathologically confirmed breast lesions who had undergone 3-T magnetic resonance imaging(MRI).The morphological characteristics of breast lesions were evaluated using DCE,DWI,and T2WI based on BI-RADS lexicon descriptors by trained radiologists.Patients were categorized into mass and non-mass groups based on MRI characteristics of the lesions,and the differences between benign and malignant lesions in each group were compared.Clinical prediction models for breast cancer diagnosis were constructed using logistic regression analysis.Diagnostic efficacies were compared using the area under the receiver operating characteristic curve(AUC)and DeLong test.Results For mass-like lesions,all the morphological parameters significantly differentiated benign and malignant lesions on consensus DCE,DWI,and T2WI(P<0.05).The combined method(DCE+DWI+T2WI)had a higher AUC(0.865)than any of the individual modality(DCE:0.786;DWI:0.793;T2WI:0.809)(P<0.05).For non-mass-like lesions,DWI signal intensity was a significant predictor of malignancy(P=0.036),but the model using DWI alone had a low AUC(0.669).Conclusion Morphological assessment using the combination of DCE,DWI,and T2WI provides better diagnostic value in differentiating benign and malignant breast mass-like lesions than assessment with only one of the modalities.展开更多
Artificial intelligence(AI)is rapidly transforming radiology and computed tomography(CT)imaging by enabling automated image analysis,improved diagnostic accuracy,and clinical decision-support.We performed a systematic...Artificial intelligence(AI)is rapidly transforming radiology and computed tomography(CT)imaging by enabling automated image analysis,improved diagnostic accuracy,and clinical decision-support.We performed a systematic review of peerreviewed studies published between January 1,2010 and March 31,2025 to quantify reported gains in diagnostic performance and workflow efficiency,to evaluate clinical decision-support benefits and risks,and to identify integration priorities.We searched PubMed,IEEE Xplore,Scopus,ScienceDirect,and Google Scholar and screened 128 records;26 studies met the inclusion criteria.Extracted data included study design,AI architecture,sample size,and quantitative performance metrics;study quality was assessed using Newcastle-Ottawa Scales(NOS),Cochrane RoB 2,or AMSTAR 2 as appropriate.Across included studies,AI applications in CT showed consistent improvements in sensitivity,specificity,and time-to-diagnosis in specific tasks(notably lung-nodule detection and intracranial hemorrhage triage),with reported detection-rate increases up to~20%and reduced turnaround times in several real-world implementations.Barriers include dataset bias,limited external validation,interpretability(“black-box”)concerns,workflow integration challenges,and evolving regulatory issues.Economic analyses suggest potentially favorable return on investment(ROI)in high-volume settings but are sensitive to licensing and infrastructure costs.To realize AI's benefits in CT imaging,rigorous multi-center validation,transparent reporting,humancentered workflow design,and post-deployment surveillance are essential.展开更多
BACKGROUND Small-bowel disorders,including obscure gastrointestinal bleeding(OGIB),Crohn's disease,and tumors,require accurate diagnostic approaches for effective treatment.Video capsule endoscopy(VCE)and simple b...BACKGROUND Small-bowel disorders,including obscure gastrointestinal bleeding(OGIB),Crohn's disease,and tumors,require accurate diagnostic approaches for effective treatment.Video capsule endoscopy(VCE)and simple balloon enteroscopy(SBE)are widely used;however,each modality has limitations,particularly regarding therapeutic intervention and diagnostic yield.AIM To evaluate diagnostic yields of various modalities for small bowel bleeding,analyze factors affecting heterogeneity,and improve understanding of clinical outcomes associated with different diagnostic approaches.METHODS A comprehensive search of four databases(PubMed,Embase,Cochrane Library,and Scopus)revealed over 600 citations related to the use of capsule endoscopy and balloon enteroscopy for diagnosing small intestine disorders with wall thickening.Based on predetermined eligibility criteria,seven moderateto-high-quality retrospective studies were analyzed to evaluate the diagnostic performance of VCE and SBE in patients with small bowel disorders.Quality Assessment of Diagnostic Accuracy Studies was applied to evaluate the risk of bias and overall methodological quality.RESULTS Analysis of seven moderate-to-high-quality retrospective studies revealed comparable overall detection rates for small bowel lesions between VCE and SBE.VCE demonstrated superior performance in detecting vascular lesions.Conversely,SBE exhibited a higher efficacy in detecting ulcerative lesions.The overall diagnostic yield varied across studies,with VCE showing a range of 32%–83%for small bowel bleeding,whereas SBE demonstrated a higher overall detection rate of 69.7%compared to 57.6%for VCE(P<0.05).Notably,SBE showed superior performance in diagnosing Crohn's disease,with a detection rate of 35%,compared to 11.3%for VCE(P<0.001).The diagnostic concordance between VCE and SBE was influenced by the lesion type.Strong agreement was observed for inflammatory lesions(κ=0.82,95%CI:0.75-0.89),whereas moderate agreement was noted for tumors(κ=0.61,95%CI:0.52-0.70)and angiectasias(κ=0.58,95%CI:0.49-0.67).SBE demonstrated significant advantages in therapeutic interventions,particularly in overt bleeding.Patient tolerability was generally higher for VCE,with a completion rate of 95%(95%CI:92%-98%),compared to 85%for SBE(95%CI:80%-90%).However,the capsule retention rate for VCE was 1.4%(95%CI:0.8%-2.0%),necessitating subsequent intervention.CONCLUSION VCE and SBE are complementary techniques for evaluating small intestinal disorders.Although VCE remains the initial test of choice for patients with stable OGIB,SBE should be considered in patients requiring therapeutic intervention.Thus,combining both modalities enhances diagnostic accuracy and patient management.展开更多
BACKGROUND Papillary thyroid cancer(PTC)often recurs following surgical excision,necessitating reliable long-term screening techniques after initial management.Ultrasound scans have a poor predictive value and biopsy ...BACKGROUND Papillary thyroid cancer(PTC)often recurs following surgical excision,necessitating reliable long-term screening techniques after initial management.Ultrasound scans have a poor predictive value and biopsy and genetic testing have a low sensitivity.Biomarker detection,including thyroglobulin,has reduced accuracy as residual thyroid tissue remains following surgery.Serum/tissue microRNA detection offers a promising alternative to screen for thyroid malignancy.Based on our previous systematic review,miR-146,miR-221 and miR-222 appear most strongly associated with PTC.AIM To perform a systematic review and meta-analysis,evaluating the use of circulating miR-146,miRNA-221 and miR-222 in PTC diagnosis and staging.METHODS A systematic literature search of MEDLINE,Scopus and the EMBASE library was performed.Human participants of any age,sex or geographical distribution were considered.Original studies assessing the diagnostic and prognostic accuracy of circulating serum miRNAs in histologically-confirmed PTC were included.Proportion and regression meta-analyses(logit-transformed)were conducted.PRISMA guidelines were followed throughout the process.RESULTS Among the 1530 studies screened,6 met the inclusion criteria,reporting non-overlapping populations.For the diagnosis of PTC vs benign nodules(BN),the pooled sensitivity of miR-146 was 80.7%(95%CI:65.2%-90.4%),specificity was 66.9%(95%CI:55.5%-76.6%),and false positive rate was 33.1%(95%CI:23.4%-44.5%).Pooled sensitivity,specificity and false positive rate of miR-222 for diagnosis of PTC vs BN was 64.3%(95%CI:50.3%-76.2%),88.8%(95%CI:82.4%-93%)and 11.2%(95%CI:7%-17.6%)respectively.Pooled sensitivity,specificity and false positive rate of miR-221 in this population demonstrated reduced accuracy.Pooled sensitivity and specificity of PTC vs healthy controls for total serum miRNAs were 82%(95%CI:77%-86%)and 84%(95%CI:76%-90%)respectively.The summary area under receiver operating characteristic curve value for the same analysis was 0.89(95%CI:0.86-0.92).CONCLUSION miRNA-146 and miRNA-222 were most sensitive,validating their efficacy in PTC diagnosis.Larger studies are needed for confident population generalisability.Use of two-MRNA types in conjunction needs to be assessed.展开更多
In Unani medicine,Bawl(urine)is recognized as a key diagnostic tool,with humoural imbalances assessed via parameters like color,consistency,sediment,clarity,froth,odor,and volume.This conceptual review explores how th...In Unani medicine,Bawl(urine)is recognized as a key diagnostic tool,with humoural imbalances assessed via parameters like color,consistency,sediment,clarity,froth,odor,and volume.This conceptual review explores how these classical diagnostic indicators may be contextualized alongside modern urinalysis markers(e.g.,bilirubin,protein,ketones,and sedimentation)and examined through emerging artificial intelligence(AI)frameworks.Potential applications include ResNet-18 for color classification,You Only Look Once version 8(YOLOv8)for sediment detection,long short-term memory(LSTM)for viscosity estimation,and EfficientDet for froth analysis,with standardized urine images/videos forming the basis of future datasets.Additionally,a comparative ontology is proposed to align Unani perspectives with diagnostic approaches in traditional Chinese medicine,encouraging cross-system integration.By synthesizing classical epistemology with computational intelligence,this review highlights pathways for developing AI-based decision support systems to promote personalized,accessible,and telemedicine-enabled healthcare.展开更多
According to the 2024 global cancer data from GLOBOCAN,liver cancer ranks the 6th most common malignancy and the 3rd leading cause of cancer-related mortality worldwide[1].Among these cases,hepatocellular carcinoma(HC...According to the 2024 global cancer data from GLOBOCAN,liver cancer ranks the 6th most common malignancy and the 3rd leading cause of cancer-related mortality worldwide[1].Among these cases,hepatocellular carcinoma(HCC)accounts for approximately 85%−90%[2,3].Its incidence and mortality rates remain persistently high worldwide.However,China has the highest incidence and mortality rates of the disease in the world[4].And the majority of patients are diagnosed at intermediate or advanced stages.Thus,identifying novel tumor biomarkers for early detection and implementing precision therapy has long been a key focus of research.展开更多
基金supported by Chengdu University of Traditional Chinese Medicine“Xinglin Scholars”Subject Talent Scientific Research Enhancement Plan(No.YYZX2022056).
文摘Objective:To explore the application value of artificial intelligence-assisted diagnostic systems in the computed tomography(CT)diagnosis of pulmonary nodules.Methods:A total of 80 patients with pulmonary nodules,treated from June 2023 to May 2024,were included.All patients underwent pathological examination and CT scans,with pathological results serving as the gold standard.The diagnostic performance of CT alone and CT combined with the artificial intelligence-assisted diagnostic system was analyzed,and differences in CT imaging features and evaluation results of benign and malignant pulmonary nodules were compared.Results:The sensitivity,specificity,and accuracy of CT combined with the artificial intelligence-assisted diagnostic system were significantly higher than those of CT alone(P<0.05).Moreover,the false-positive and false-negative rates were significantly lower for the combined approach compared to CT alone(P<0.05).Conclusion:The artificial intelligence-assisted diagnostic system effectively identifies malignant features in pulmonary nodules,providing valuable clinical reference data and enhancing diagnostic accuracy and efficiency.
文摘A diagnostic system of soft x-ray diode-array was set up for HT-7 superconducting tokamak. The system consists of two slot-aperture cameras and is capable of measuring the soft x-ray emission from the plasma on HT-7 device with a high resolution in space and a high response in time. Both cameras, located separately in a horizontal port and a vertical port each with thirty-seven detectors of An-Si surface-barrier diode (SBD) can view the same toroidal cross-section of the plasma from different poloidal chords. In this paper, the structure, principle and performance of the diagnostic system are described and some experimental results observed are presented.
文摘Three categories of failure diagnostic methods for reciprocating compressors are classified according to the signals adopted by the diagnosis. They are parameter method, vibration method, and oil analysis method. In this paper, the applicable range and operational difficulties of these methods are discussed on the basis of analysis and induction upon normal failure. It is proposed that a compressor's normal failure can be divided into thermodynamical property failure and mechanical function failure. As to the former, the parameter method that takes a cylinder pressure signal as the main diagnostic signal may be applied; and as to the latter, the vibration signal frequency spectrum can be used to diagnose. At the same time, the structure of an intelligent diagnostic system based on neural networks is introduced, and its schematic is given.
基金This research has been funded by Direccion General de Investigaciones of Universidad Santiago de Cali under call No.01-2021。
文摘The hepatitis B virus is the most deadly virus,which significantly affects the human liver.The termination of the hepatitis B virus is mandatory and can be done by taking precautions as well as a suitable cure in its introductory stage;otherwise,it will become a severe problem and make a human liver suffer from the most dangerous diseases,such as liver cancer.In this paper,two medical diagnostic systems are developed for the diagnosis of this life-threatening virus.The methodologies used to develop thesemodels are fuzzy logic and the neuro-fuzzy technique.The diverse parameters that assist in the evaluation of performance are also determined by using the observed values from the proposed system for both developedmodels.The classification accuracy of a multilayered fuzzy inference system is 94%.The accuracy with which the developed medical diagnostic system by using Adaptive Network based Fuzzy Interference System(ANFIS)classifies the result corresponding to the given input is 95.55%.The comparison of both developed models on the basis of their performance parameters has been made.It is observed that the neuro-fuzzy technique-based diagnostic system has better accuracy in classifying the infected and non-infected patients as compared to the fuzzy diagnostic system.Furthermore,the performance evaluation concluded that the outcome given by the developed medical diagnostic system by using ANFIS is accurate and correct as compared to the developed fuzzy inference system and also can be used in hospitals for the diagnosis of Hepatitis B disease.In other words,the adaptive neuro-fuzzy inference system has more capability to classify the provided inputs adequately than the fuzzy inference system.
基金supported by National Natural Science Foundation of China (Nos.10805056, 10675126)
文摘A multipulse and multipoint Nd：YAG （neodymium-yttrium aluminum garnet） laser Thomson scattering diagnostic system was developed on EAST to obtain more accurate electron temperature Te and electron density ne profiles. In this paper, the optical system, the VME （versa module eurocard）-based real-time computer system for laser control, data acquisition, analysis and calibration are discussed in detail. Furthermore, a developed data processing method is presented.
基金National Natural Science Foundation of China (No. 11575184).
文摘A novel real time fast electron bremsstrahlung (FEB) diagnostic system based on the lutetium yttrium oxyorthosilicate scintillators (LYSO) and silicon photomultipliers (SiPM) has been developed for tokamak.The diagnostic system is dedicated to study the FEB emission in the hard x-ray (HXR) energy range between 10 and 200 keV during the lower hybrid current drive.The system consists of a detection module and three data acquisition and processing (DAP)boards.The detection module consists of annulus LYSO-SiPM detector array and a 12-channel preamplifier module.The DAP boards upload the data to the host computer for displaying and storing through PXI bus.The time and space resolutions of the system are 10 ms and 4 cm,respectively.The experimental results can show the evolution over time and the spatial distribution of FEB.This paper presents the system performance and typical discharge results.
基金supported by National Natural Science Foundation of China (Nos. 10725523, 10721505 and 10805056)
文摘Primary physical design of the Thomson scattering system for EAST, including the configuration of the system and the design considerations of different sections of the system, is presented. The expected measurability of this design, namely an electron temperature of 513 eV to 5 keV and a plasma density beyond 0.5× 10^19 m^-3, fulfills the requirements of the EAST operation.
文摘The development of cleaning optics and deposition-mitigating techniques is a key factor in the construction and operation of optical diagnostics in ITER. The cleaning of optical surface by pulsed radiation from a fiber laser is an effective method that can recover optical properties of the mirror surface. The possibility of cleaning metallic mirrors from films with complex composition by pulsed radiation from a fiber laser has been experimentally researched. It has been shown that the high initial reflection characteristics of optical elements can be recovered by choosing regimes of radiation effect on the deposited surface. Efficient cleaning is ensured by radiation with the power density of less than 107 W/cm2. At this relatively low power density, pollutions are removed in a solid phase and the thermal effect on the mirror is insignificant. Preliminary experiments of the metal mirrors cleaning by fiber laser radiation have demonstrated the possibility of hardware implementation techniques.
基金Project supported by the National Magnetic Confinement Fusion Science Program of China(Grant No.2017YFE0301700)the National Natural Science Foundation of China(Grant No.11635008)
文摘A 10-channel Hα diagnostic system has been designed with the rapid response rate of 300 kHz, spatial resolution of about 40 mm, and overlap between adjacent channels of about 3%, and it has been implemented successfully on Keda Torus eXperiment(KTX), a newly constructed, reversed field pinch(RFP) experimental device at the University of Science and Technology of China(USTC). This diagnostic system is a very important tool for the initial KTX operations. It is compact,with an aperture slit replacing the traditional optical lens system. A flexural interference filter is designed to prevent the center wavelength from shifting too much as the increase of angle from vertical incidence. To eliminate the stray light,the interior of the system is covered with the black aluminum foil having a very high absorptivity. Using the Hαemission data, together with the profiles of electron temperature and density obtained from the Langmuir probe, the neutral density profiles have been calculated for KTX plasmas. The rapid response rate and good spatial resolution of this Hαdiagnostic system will be beneficial for many studies in RFP plasma physics.
基金supported by the National MCF Energy R&D Program of China(Nos.2022YFE03040003 and 2019YFE03010003).
文摘Measurements of the total radiated power and its spatial distribution are crucial for fusion research.On the experimental advanced superconducting tokamak(EAST),both the metal foil resistive bolometer and the absolute extreme ultraviolet(AXUV)photodiodes have been used to quantify the radiated power.This article introduces the latest improvement of the bolometer diagnostic system on EAST.It also details the successful design and installation of new divertor AXUV cameras,which are dedicated to the investigation of divertor physics.The shielding components of the bolometer detector have been refined,and the article provides a detailed exposition of the double shielding structures that have been verified as effective in microwave shielding.Additionally,the changes in the radiated power distribution in the divertor region during the plasma detachment process are measured using the divertor AXUV camera.Finally,the radiated power measured by the AXUV detector and metal foil resistive bolometer are compared,and different detector performances are presented.
基金supported by National Natural Science Foundation of China(Nos.11305069 and 10990214)the Ministry of Science and Technology of China(Nos.2013GB106001,2011GB109001)
文摘A spectral diagnostic control system （SDCS） is developed to implement automatic process of the edge rotation diagnostic system on the J-TEXT tokamak. The SDCS contains a control module, data operation module, data analysis module, and data upload module. The core of this system is a newly developed software ＂Spectra Assist＂, which completes the whole process by coupling all related subroutines and servers. The results of data correction and calculated rotation are presented. In the daily discharge of J-TEXT, SDCS is proved to have a stable performance and high efficiency in completing the process of data acquisition, operation and results output.
基金Supported by the “Reliable and clinical relevant change of Inventory of Depression and Anxiety Symptoms Ⅱ-IDAS Ⅱ:a longitudinal clinical utility study (RELY-IDAS-Ⅱ)”,project PID2020-116187RB-I00 on Proyectos I+D+i 2020 “Retos del Conocimiento” provided by Ministerio de Ciencia e Innovación (Spain)by the grant FPU20/06606
文摘Measurement of externalizing disorders such as antisocial disorders,attentiondeficit/hyperactivity disorder or borderline disorder have relevant implications for the daily lives of people with these disorders.While the Diagnostic and Statistical Manual of Mental Disorders(DSM)and the International Classification of Diseases(ICD)have provided the diagnostic framework for decades,recent dimensional frameworks question the categorical approach of psychopathology,inherent in traditional nosotaxies.Tests and instruments develop under the DSM or ICD framework preferentially adopt this categorical approach,providing diagnostic labels.In contrast,dimensional measurement instruments provide an individualized profile for the domains that comprise the externalizing spectrum,but are less widely used in practice.Current paper aims to review the operational definitions of externalizing disorders defined under these different frameworks,revise the different measurement alternatives existing,and provide an integrative operational definition.First,an analysis of the operational definition of externalizing disorders among the DSM/ICD diagnostic systems and the recent Hierarchical Taxonomy of Psychopathology(HiTOP)model is carried out.Then,in order to analyze the coverage of operational definitions found,a description of measurement instruments among each conceptualization is provided.Three phases in the development of the ICD and DSM diagnosis systems can be observed with direct implications for measurement.ICD and DSM versions have progressively introduced systematicity,providing more detailed descriptions of diagnostic criteria and categories that ease the measurement instrument development.However,it is questioned whether the DSM/ICD systems adequately modelize externalizing disorders,and therefore their measurement.More recent theoretical approaches,such as the HiTOP model seek to overcome some of the criticism raised towards the classification systems.Nevertheless,several issues concerning this model raise mesasurement challenges.A revision of the instruments underneath each approach shows incomplete coverage of externalizing disorders among the existing instruments.Efforts to bring nosotaxies together with other theoretical models of psychopathology and personality are still needed.The integrative operational definition of externalizing disorders provided may help to gather clinical practice and research.
文摘In paper it introduced a review of modem traction vehicle drive system with induction motor drive system （PMSM with single or dual rotor drive system） or BLDC motor with different configuration of magnetic circuits. For particular part of drive system proposed a quasi intelligent control system version smart control enables multi criteria predictive control of vehicle work. In the paper presented also a selected diagnostic procedure, enables monitoring exploitation parameters, and prediction of probable failure state. For different vehicle work state realized a simulation models and crash test of exploitations failure models.
文摘Objective To qualitatively assess the diagnostic performance of dynamic contrast enhancement(DCE),diffusionweighted imaging(DWI),and T2-weighted imaging(T2WI),alone or in combination,in the evaluation of breast cancer.Methods We retrospectively reviewed the records of 394 consecutive patients with pathologically confirmed breast lesions who had undergone 3-T magnetic resonance imaging(MRI).The morphological characteristics of breast lesions were evaluated using DCE,DWI,and T2WI based on BI-RADS lexicon descriptors by trained radiologists.Patients were categorized into mass and non-mass groups based on MRI characteristics of the lesions,and the differences between benign and malignant lesions in each group were compared.Clinical prediction models for breast cancer diagnosis were constructed using logistic regression analysis.Diagnostic efficacies were compared using the area under the receiver operating characteristic curve(AUC)and DeLong test.Results For mass-like lesions,all the morphological parameters significantly differentiated benign and malignant lesions on consensus DCE,DWI,and T2WI(P<0.05).The combined method(DCE+DWI+T2WI)had a higher AUC(0.865)than any of the individual modality(DCE:0.786;DWI:0.793;T2WI:0.809)(P<0.05).For non-mass-like lesions,DWI signal intensity was a significant predictor of malignancy(P=0.036),but the model using DWI alone had a low AUC(0.669).Conclusion Morphological assessment using the combination of DCE,DWI,and T2WI provides better diagnostic value in differentiating benign and malignant breast mass-like lesions than assessment with only one of the modalities.
文摘Artificial intelligence(AI)is rapidly transforming radiology and computed tomography(CT)imaging by enabling automated image analysis,improved diagnostic accuracy,and clinical decision-support.We performed a systematic review of peerreviewed studies published between January 1,2010 and March 31,2025 to quantify reported gains in diagnostic performance and workflow efficiency,to evaluate clinical decision-support benefits and risks,and to identify integration priorities.We searched PubMed,IEEE Xplore,Scopus,ScienceDirect,and Google Scholar and screened 128 records;26 studies met the inclusion criteria.Extracted data included study design,AI architecture,sample size,and quantitative performance metrics;study quality was assessed using Newcastle-Ottawa Scales(NOS),Cochrane RoB 2,or AMSTAR 2 as appropriate.Across included studies,AI applications in CT showed consistent improvements in sensitivity,specificity,and time-to-diagnosis in specific tasks(notably lung-nodule detection and intracranial hemorrhage triage),with reported detection-rate increases up to~20%and reduced turnaround times in several real-world implementations.Barriers include dataset bias,limited external validation,interpretability(“black-box”)concerns,workflow integration challenges,and evolving regulatory issues.Economic analyses suggest potentially favorable return on investment(ROI)in high-volume settings but are sensitive to licensing and infrastructure costs.To realize AI's benefits in CT imaging,rigorous multi-center validation,transparent reporting,humancentered workflow design,and post-deployment surveillance are essential.
文摘BACKGROUND Small-bowel disorders,including obscure gastrointestinal bleeding(OGIB),Crohn's disease,and tumors,require accurate diagnostic approaches for effective treatment.Video capsule endoscopy(VCE)and simple balloon enteroscopy(SBE)are widely used;however,each modality has limitations,particularly regarding therapeutic intervention and diagnostic yield.AIM To evaluate diagnostic yields of various modalities for small bowel bleeding,analyze factors affecting heterogeneity,and improve understanding of clinical outcomes associated with different diagnostic approaches.METHODS A comprehensive search of four databases(PubMed,Embase,Cochrane Library,and Scopus)revealed over 600 citations related to the use of capsule endoscopy and balloon enteroscopy for diagnosing small intestine disorders with wall thickening.Based on predetermined eligibility criteria,seven moderateto-high-quality retrospective studies were analyzed to evaluate the diagnostic performance of VCE and SBE in patients with small bowel disorders.Quality Assessment of Diagnostic Accuracy Studies was applied to evaluate the risk of bias and overall methodological quality.RESULTS Analysis of seven moderate-to-high-quality retrospective studies revealed comparable overall detection rates for small bowel lesions between VCE and SBE.VCE demonstrated superior performance in detecting vascular lesions.Conversely,SBE exhibited a higher efficacy in detecting ulcerative lesions.The overall diagnostic yield varied across studies,with VCE showing a range of 32%–83%for small bowel bleeding,whereas SBE demonstrated a higher overall detection rate of 69.7%compared to 57.6%for VCE(P<0.05).Notably,SBE showed superior performance in diagnosing Crohn's disease,with a detection rate of 35%,compared to 11.3%for VCE(P<0.001).The diagnostic concordance between VCE and SBE was influenced by the lesion type.Strong agreement was observed for inflammatory lesions(κ=0.82,95%CI:0.75-0.89),whereas moderate agreement was noted for tumors(κ=0.61,95%CI:0.52-0.70)and angiectasias(κ=0.58,95%CI:0.49-0.67).SBE demonstrated significant advantages in therapeutic interventions,particularly in overt bleeding.Patient tolerability was generally higher for VCE,with a completion rate of 95%(95%CI:92%-98%),compared to 85%for SBE(95%CI:80%-90%).However,the capsule retention rate for VCE was 1.4%(95%CI:0.8%-2.0%),necessitating subsequent intervention.CONCLUSION VCE and SBE are complementary techniques for evaluating small intestinal disorders.Although VCE remains the initial test of choice for patients with stable OGIB,SBE should be considered in patients requiring therapeutic intervention.Thus,combining both modalities enhances diagnostic accuracy and patient management.
文摘BACKGROUND Papillary thyroid cancer(PTC)often recurs following surgical excision,necessitating reliable long-term screening techniques after initial management.Ultrasound scans have a poor predictive value and biopsy and genetic testing have a low sensitivity.Biomarker detection,including thyroglobulin,has reduced accuracy as residual thyroid tissue remains following surgery.Serum/tissue microRNA detection offers a promising alternative to screen for thyroid malignancy.Based on our previous systematic review,miR-146,miR-221 and miR-222 appear most strongly associated with PTC.AIM To perform a systematic review and meta-analysis,evaluating the use of circulating miR-146,miRNA-221 and miR-222 in PTC diagnosis and staging.METHODS A systematic literature search of MEDLINE,Scopus and the EMBASE library was performed.Human participants of any age,sex or geographical distribution were considered.Original studies assessing the diagnostic and prognostic accuracy of circulating serum miRNAs in histologically-confirmed PTC were included.Proportion and regression meta-analyses(logit-transformed)were conducted.PRISMA guidelines were followed throughout the process.RESULTS Among the 1530 studies screened,6 met the inclusion criteria,reporting non-overlapping populations.For the diagnosis of PTC vs benign nodules(BN),the pooled sensitivity of miR-146 was 80.7%(95%CI:65.2%-90.4%),specificity was 66.9%(95%CI:55.5%-76.6%),and false positive rate was 33.1%(95%CI:23.4%-44.5%).Pooled sensitivity,specificity and false positive rate of miR-222 for diagnosis of PTC vs BN was 64.3%(95%CI:50.3%-76.2%),88.8%(95%CI:82.4%-93%)and 11.2%(95%CI:7%-17.6%)respectively.Pooled sensitivity,specificity and false positive rate of miR-221 in this population demonstrated reduced accuracy.Pooled sensitivity and specificity of PTC vs healthy controls for total serum miRNAs were 82%(95%CI:77%-86%)and 84%(95%CI:76%-90%)respectively.The summary area under receiver operating characteristic curve value for the same analysis was 0.89(95%CI:0.86-0.92).CONCLUSION miRNA-146 and miRNA-222 were most sensitive,validating their efficacy in PTC diagnosis.Larger studies are needed for confident population generalisability.Use of two-MRNA types in conjunction needs to be assessed.
文摘In Unani medicine,Bawl(urine)is recognized as a key diagnostic tool,with humoural imbalances assessed via parameters like color,consistency,sediment,clarity,froth,odor,and volume.This conceptual review explores how these classical diagnostic indicators may be contextualized alongside modern urinalysis markers(e.g.,bilirubin,protein,ketones,and sedimentation)and examined through emerging artificial intelligence(AI)frameworks.Potential applications include ResNet-18 for color classification,You Only Look Once version 8(YOLOv8)for sediment detection,long short-term memory(LSTM)for viscosity estimation,and EfficientDet for froth analysis,with standardized urine images/videos forming the basis of future datasets.Additionally,a comparative ontology is proposed to align Unani perspectives with diagnostic approaches in traditional Chinese medicine,encouraging cross-system integration.By synthesizing classical epistemology with computational intelligence,this review highlights pathways for developing AI-based decision support systems to promote personalized,accessible,and telemedicine-enabled healthcare.
基金supported by a grant from the Central Level Public Welfare Research Institutes Basic Research Expenses of Chinese Academy of Medical Sciences(No.2023-RW320-05)。
文摘According to the 2024 global cancer data from GLOBOCAN,liver cancer ranks the 6th most common malignancy and the 3rd leading cause of cancer-related mortality worldwide[1].Among these cases,hepatocellular carcinoma(HCC)accounts for approximately 85%−90%[2,3].Its incidence and mortality rates remain persistently high worldwide.However,China has the highest incidence and mortality rates of the disease in the world[4].And the majority of patients are diagnosed at intermediate or advanced stages.Thus,identifying novel tumor biomarkers for early detection and implementing precision therapy has long been a key focus of research.
