Background Mental disorders pose a significant global health burden,especially after the coronavirus disease2019 pandemic.Aims This study aimed to characterise trends in the burden of mental disorders among adolescent...Background Mental disorders pose a significant global health burden,especially after the coronavirus disease2019 pandemic.Aims This study aimed to characterise trends in the burden of mental disorders among adolescents and young adults by sex,age,sociodemographic index(SDI)quintile,region and country from 1990 to 2021.Methods Estimates and 95%uncertainty intervals(UIs)for disability-adjusted life years(DALYs)were extracted from the Global Burden of Diseases Study 2021.The number and rate of DALYs,as well as the percentage change from 1990 to 2021,were estimated by sex,age,SDI quintile,region and country.Results The number of DALYs for mental disorders increased from 26.1(95%UI 19.3 to 34.4)million to 36.3(95%UI 26.6 to 48.1)million.The DALY rate increased from 1687.8(1245.3 to 2225.4)per 100000 population in1990 to 1923.71408.7 to 2548.4)per 100000 population in 2021,representing a 14%(12%to 16%)increase.Females(16%(13%to 18%))and individuals aged 15-19years(16%(13%to 18%))showed the greatest increase in DALY rates.Between 1990 and 2021,DALY rates rose significantly across all SDI quintiles and regions,except East Asia(-5%(-9%to-1%)).The most rapid increases were observed in parts of Latin America,particularly for anxiety and depressive disorders.Conclusions The global burden of mental disorders among adolescents increased significantly from 1990 to2021,necessitating attention to policies targeting high-risk populations and specific regions.展开更多
The structure of Ni active sites supported on amorphous silica-alumina supports with different contents of Al_(2)O_(3)loadings in relation to their activities in ethylene oligomerization were investigated.Two kinds of...The structure of Ni active sites supported on amorphous silica-alumina supports with different contents of Al_(2)O_(3)loadings in relation to their activities in ethylene oligomerization were investigated.Two kinds of Ni sites were detected by in situ FTIR-CO and H_(2)-TPR experiments,that are Ni^(2+)cations as grafted on weak acidic silanols and Ni^(2+)cations at ion-exchange positions.The ethylene oligomerization activities of these Ni/ASA catalysts were found an ascending tendency as the Al_(2)O_(3)loading decreased,which could be attributed to the enriched concentration of Ni^(2+)species on acidic silanols with a weaker interaction with the amorphous silica-alumina support.These Ni^(2+)species were more easily to be evolved into Ni^(+)species,which has been identified to be the active sites of ethylene oligomerization.Thus,it seems reasonable to conclude that Ni^(2+)species grafted on acidic silanols were the precursors of active sites.展开更多
A highly reliable and selective ethanol gas sensor working in realistic environments based on alpha-Fe2O3(α-Fe2O3)nanorhombs is developed. The sensor is fabricated by integrating α-Fe2O3 nanorhombs onto a low power ...A highly reliable and selective ethanol gas sensor working in realistic environments based on alpha-Fe2O3(α-Fe2O3)nanorhombs is developed. The sensor is fabricated by integrating α-Fe2O3 nanorhombs onto a low power microheater based on micro-electro-mechanical systems(MEMS) technology. The α-Fe2O3 nanorhombs, prepared via a solvothermal method, is characterized by transmission electron microscopy(TEM), Raman spectroscopy, x-ray diffraction(XRD), and x-ray photoelectron spectroscopy(XPS). The sensing performances of the α-Fe2O3 sensor to various toxic gases are investigated. The optimum sensing temperature is found to be about 280℃. The sensor shows excellent selectivity to ethanol.For various ethanol concentrations(1 ppm-20 ppm), the response and recovery times are around 3 s and 15 s at the working temperature of 280℃, respectively. Specifically, the α-Fe2O3 sensor exhibits a response shift less than 6% to ethanol at280℃ when the relative humidity(RH) increases from 30% to 70%. The good tolerance to humidity variation makes the sensor suitable for reliable applications in Internet of Things(IoT) in realistic environments. In addition, the sensor shows great long-term repeatability and stability towards ethanol. A possible gas sensing mechanism is proposed.展开更多
Deep Learning(DL)has important applications to both commercial and military communications,such as software-defined radio,cognitive radio and spectrum surveillance.While DL has been intensively studied for modulation ...Deep Learning(DL)has important applications to both commercial and military communications,such as software-defined radio,cognitive radio and spectrum surveillance.While DL has been intensively studied for modulation recognition,there are very few investigations for blind identification of Space-Time Block Codes(STBCs).This paper proposes a Residual Network(RN)-based model for identifying 6 kinds of STBC signals with a single receiving antenna,including the same length of coding matrix.In our work,we use the frequency-domain correlation function of a single time delay as the training data of DL model.Then,we explore the suitable RN structure for blind identification of STBCs.Finally,we compare the RN model with convolutional neural network and traditional method,and test the performance of RN model.Simulation results show that our RN-based model provides good performance with low sensitivity to decay of the dataset,such as sample length and data size.At the same time,better identification accuracy can be achieved under the condition of different modulation types and channel fading parameters at low Signal to Noise Ratio(SNR).展开更多
Japanese encephalitis virus （jEV） is a mosquito-borne virus of the family Flaviviridae. It is the causative agent of Japanese encephalitis with approximately 50,000 infection cases and 10,000 fatal cases annually in...Japanese encephalitis virus （jEV） is a mosquito-borne virus of the family Flaviviridae. It is the causative agent of Japanese encephalitis with approximately 50,000 infection cases and 10,000 fatal cases annually in Asia （Erlanger et al., 2009）. Although liveattenuated JEV vaccine has been developed and used for human and pig vaccination, JE occurs epidemically or sporadically in some developing countries or even in vaccinated areas （Solomon, 2006）. Host resistance factors play an important role in the outcome of viral infection.展开更多
Defects detection with Electroluminescence(EL)image for photovoltaic(PV)module has become a standard test procedure during the process of production,installation,and operation of solar modules.There are some typical d...Defects detection with Electroluminescence(EL)image for photovoltaic(PV)module has become a standard test procedure during the process of production,installation,and operation of solar modules.There are some typical defects types,such as crack,finger interruption,that can be recognized with high accuracy.However,due to the complexity of EL images and the limitation of the dataset,it is hard to label all types of defects during the inspection process.The unknown or unlabeled create significant difficulties in the practical application of the automatic defects detection technique.To address the problem,we proposed an evolutionary algorithm combined with traditional image processing technology,deep learning,transfer learning,and deep clustering,which can recognize the unknown or unlabeled in the original dataset defects automatically along with the increasing of the dataset size.Specifically,we first propose a deep learning-based features extractor and defects classifier.Then,the unlabeled defects can be classified by the deep clustering algorithm and stored separately to update the original database without human intervention.When the number of unknown images reaches the preset values,transfer learning is introduced to train the classifier with the updated database.The fine-tuned model can detect new defects with high accuracy.Finally,numerical results confirm that the proposed solution can carry out efficient and accurate defect detection automatically using electroluminescence images.展开更多
Insulin has been shown to possess significant anti-apoptotic effect in myocardial ischemia/reperfusion(MI/R).However,the contribution by this protection of insulin to the prolonged cardiac function of rats subjected t...Insulin has been shown to possess significant anti-apoptotic effect in myocardial ischemia/reperfusion(MI/R).However,the contribution by this protection of insulin to the prolonged cardiac function of rats subjected to ischemia remains unclear.The present study attempted to test whether early insulin treatment influences adverse prolonged post-ischemic cardiac structural and functional changes.展开更多
Colorectal cancer(CRC)poses significant physical and psychological challenges that necessitate an exploration of factors influencing post-traumatic growth(PTG)for patient well-being.This study aims to investigate the ef...Colorectal cancer(CRC)poses significant physical and psychological challenges that necessitate an exploration of factors influencing post-traumatic growth(PTG)for patient well-being.This study aims to investigate the effects of positive psychological capital(PsyCap)and perceived stress on mediating the social support-PTG relation among 673 CRC patients.Social support,positive PsyCap,perceived stress,and PTG were assessed through questionnaires.The results indicated a direct prediction effect of social support on PTG(LICI=0.481,ULCI=0.644),with the direct effect being 59.5%.Both positive PsyCap and perceived stress exerted a mediating role in the correlation between social support and PTG,with the mediating effects occupying 29.4%(LICI=0.217,ULCI=0.343)and 5.7%(LICI=0.030,ULCI=0.082),respectively.Positive PsyCap further had a chain mediating effect on perceived stress(LICI=0.031,ULCI=0.074),with the chain effect accounting for 5.4%.The total impact of social support on PTG was 100%(LICI=0.882,ULCI=1.008).This model underscores the pivotal role of social support in promoting PTG in CRC patients.Positive PsyCap serves as a crucial mediator in the social support-PTG link,with perceived stress playing a sequential mediating role.Thesefindings suggest that strengthening social support networks and cultivating positive PsyCap may reduce perceived stress and promote the development of PTG in CRC patients.Consequently,intervention programs are recommended to improve the psychosocial well-being of CRC patients.展开更多
Li dendrites and electrolyte leakage are common causes of Li-ion battery failure.H_(2),generated by Li dendrites,and electrolyte vapors have been regarded as gas markers of the early safety warning of Li-ion batteries...Li dendrites and electrolyte leakage are common causes of Li-ion battery failure.H_(2),generated by Li dendrites,and electrolyte vapors have been regarded as gas markers of the early safety warning of Li-ion batteries.SnO_(2)-based gas sensors,widely used for a variety of applications,are promising for the early safety detection of Li-ion batteries,which are necessary and urgently required for the development of Li-ion battery systems.However,the traditional SnO_(2)sensor,with a single signal,cannot demonstrate intelligent multi-gas recognition.Here,a single dual-mode(direct and alternating current modes)SnO_(2)sensor demonstrates clear discrimination of electrolyte vapors and H_(2),released in different states of Li-ion batteries,together with principal component analysis(PCA)analysis.This work provides insight into the intelligent technology of single gas sensors.展开更多
Mesenchymal stem cells(MSCs)delivered into the post-ischemic heart milieu have a low survival and retention rate,thus restricting the cardioreparative efficacy of MSC-based therapy.Chronic ischemia results in metaboli...Mesenchymal stem cells(MSCs)delivered into the post-ischemic heart milieu have a low survival and retention rate,thus restricting the cardioreparative efficacy of MSC-based therapy.Chronic ischemia results in metabolic reprogramming in the heart,but little is known about how these metabolic changes influence implanted MSCs.Here,we found that excessive branched-chain amino acid(BCAA)accumulation,a metabolic signature seen in the post-ischemic heart,was disadvantageous to the retention and cardioprotection of intramyocardially injected MSCs.Discovery-driven experiments revealed that BCAA at pathological levels sensitized MSCs to stress-induced cell death and premature senescence via accelerating the loss of histone 3 lysine 9 trimethylation(H3K9me3).A novel mTORC1/DUX4/KDM4E axis was identified as the cause of BCAA-induced H3K9me3 loss and adverse phenotype acquisition.Enhancing BCAA catabolic capability in MSCs via genetic/pharmacological approaches greatly improved their adaptation to the high BCAA milieu and strengthened their cardioprotective efficacy.We conclude that aberrant BCAA accumulation is detrimental to implanted MSCs via a previously unknown metabolite-signaling-epigenetic mechanism,emphasizing that the metabolic changes of the post-ischemic heart crucially influence the fate of implanted MSCs and their therapeutic benefits.展开更多
Background:Hypertrophic cardiomyopathy(HCM)is an underdiagnosed genetic heart disease worldwide.The management and prognosis of obstructive HCM(HOCM)and non-obstructive HCM(HNCM)are quite different,but it also remains...Background:Hypertrophic cardiomyopathy(HCM)is an underdiagnosed genetic heart disease worldwide.The management and prognosis of obstructive HCM(HOCM)and non-obstructive HCM(HNCM)are quite different,but it also remains challenging to discriminate these two subtypes.HCM is characterized by dysmetabolism,and myocardial amino acid(AA)metabolism is robustly changed.The present study aimed to delineate plasma AA and derivatives profiles,and identify potential biomarkers for HCM.Methods:Plasma samples from 166 participants,including 57 cases of HOCM,52 cases of HNCM,and 57 normal controls(NCs),who first visited the International Cooperation Center for HCM,Xijing Hospital between December 2019 and September 2020,were collected and analyzed by high-performance liquid chromatography-mass spectrometry based on targeted AA metabolomics.Three separate classification algorithms,including random forest,support vector machine,and logistic regression,were applied for the identification of specific AA and derivatives compositions for HCM and the development of screening models to discriminate HCM from NC as well as HOCM from HNCM.Results:The univariate analysis showed that the serine,glycine,proline,citrulline,glutamine,cystine,creatinine,cysteine,choline,and aminoadipic acid levels in the HCM group were significantly different from those in the NC group.Four AAs and derivatives(Panel A;proline,glycine,cysteine,and choline)were screened out by multiple feature selection algorithms for discriminating HCM patients from NCs.The receiver operating characteristic(ROC)analysis in Panel A yielded an area under the ROC curve(AUC)of 0.83(0.75-0.91)in the training set and 0.79(0.65-0.94)in the validation set.Moreover,among 10 AAs and derivatives(arginine,phenylalanine,tyrosine,proline,alanine,asparagine,creatine,tryptophan,ornithine,and choline)with statistical significance between HOCM and HNCM,3 AAs(Panel B;arginine,proline,and ornithine)were selected to differentiate the two subgroups.The AUC values in the training and validation sets for Panel B were 0.83(0.74-0.93)and 0.82(0.66-0.98),respectively.Conclusions:The plasma AA and derivatives profiles were distinct between the HCM and NC groups.Based on the differential profiles,the two established screening models have potential value in assisting HCM screening and identifying whether it is obstructive.展开更多
The‘mismatch losses’problem is commonly encountered in distributed photovoltaic(PV)power generation systems.It can directly reduce power generation.Hence,PV array reconfiguration techniques have become highly popula...The‘mismatch losses’problem is commonly encountered in distributed photovoltaic(PV)power generation systems.It can directly reduce power generation.Hence,PV array reconfiguration techniques have become highly popular to minimize the mismatch losses.In this paper,a dynamical array reconfiguration method for Total-Cross-Ties(TCT)and Series-Parallel(SP)interconnected PV arrays is proposed.The method aims to improve the maximum power output generation of a distributed PV array in different mismatch conditions through a set of inverters and a switching matrix that is controlled by a dynamic and scalable reconfiguration optimization algorithm.The structures of the switching matrix for both TCT-based and SP-based PV arrays are designed to enable flexible alteration of the electrical connections between PV strings and inverters.Also,the proposed reconfiguration solution is scalable,because the size of the switching matrix deployed in the proposed solution is only determined by the numbers of the PV strings and the inverters,and is not related to the number of PV modules in a string.The performance of the proposed method is assessed for PV arrays with both TCT and SP interconnections in different mismatch conditions,including different partial shading and random PV module failure.The average optimization time for TCT and SP interconnected PV arrays is 0.02 and 3 s,respectively.The effectiveness of the proposed dynamical reconfiguration is confirmed,with the aver-age maximum power generation improved by 8.56%for the TCT-based PV array and 6.43%for the SP-based PV array compared to a fixed topology scheme.展开更多
Background:The increasing penetration of a massive number of plug-in electric vehicles(PEVs)and distributed generators(DGs)into current power distribution networks imposes obvious challenges on power distribution netw...Background:The increasing penetration of a massive number of plug-in electric vehicles(PEVs)and distributed generators(DGs)into current power distribution networks imposes obvious challenges on power distribution network operation.Methods:This paper presents an optimal temporal-spatial scheduling strategy of PEV charging demand in the presence of DGs.The solution is designed to ensure the reliable and secure operation of the active power distribution networks,the randomness introduced by PEVs and DGs can be managed through the appropriate scheduling of the PEV charging demand,as the PEVs can be considered as mobile energy storage units.Results:As a result,the charging demands of PEVs are optimally scheduled temporally and spatially,which can improve the DG utilization efficiency as well as reduce the charging cost under real-time pricing(RTP).Conclusions:The proposed scheduling strategy is evaluated through a series of simulations and the numerical results demonstrate the effectiveness and the benefits of the proposed solution.展开更多
What is already known about this topic?A substantial proportion of people living with human immunodeficiency virus(PLWH)remain unaware of their infection status.Contact tracing serves as an effective public health too...What is already known about this topic?A substantial proportion of people living with human immunodeficiency virus(PLWH)remain unaware of their infection status.Contact tracing serves as an effective public health tool for identifying human immunodeficiency virus(HIV)infections and supports progress toward achieving the 95-95-95-95 goals.What is added by this report?展开更多
With continually improving reperfusion strategies and patient care,the overall mortality of acute myocardial infarction(AMI)has been significantly reduced during the past two decades.However,this success is a double-e...With continually improving reperfusion strategies and patient care,the overall mortality of acute myocardial infarction(AMI)has been significantly reduced during the past two decades.However,this success is a double-edged sword,as many patients surviving an AMI will progress towards ischemic heart failure(HF)over time.The pathologic causes of ischemic HF are undoubtedly multifactorial.However,the inflammatory response is considered one of the most important causes of pathological remodeling because it spans the whole process of HF development.The macrophage-mediated inflammatory response was once considered a purely harmful factor leading to pathological remodeling and HF.However,growing evidence demonstrates that multiple subgroups of macrophage exist and contribute differently to ischemic HF development.Understanding macrophage populations and how they contribute to post-MI remodeling and consequent ischemic HF is,therefore,critical to understanding and treating the disease.This review focuses on different macrophage populations that regulate post-MI cardiac injury and how immunoregulation therapy may benefit patients with ischemic HF.展开更多
Introduction In clinical practice,heart and liver dysfunctions often coexist in individuals with diseases of both organs,because of complex cardio-hepatic interactions.It is becoming increasingly crucial to identify i...Introduction In clinical practice,heart and liver dysfunctions often coexist in individuals with diseases of both organs,because of complex cardio-hepatic interactions.It is becoming increasingly crucial to identify interactions between the heart and liver,to ensure effective management of patients with heart or liver disease,and to provide improved overall prognosis and therapies.[1]展开更多
Metal oxide semiconductor-based chemiresistors have been facing challenges in achieving low-temperature hydrogen sensing at the ppb level.The oxygen vacancy is considered to play a vital role in gas sensing properties...Metal oxide semiconductor-based chemiresistors have been facing challenges in achieving low-temperature hydrogen sensing at the ppb level.The oxygen vacancy is considered to play a vital role in gas sensing properties.However,a nonstoichiometric metal oxide semiconductor with efficient and controllable oxygen vacancies is not easily accessible.Herein,a facile solution reduction method of NaBH_(4)was developed to modulate the oxygen vacancies of ZnO nanosheets.The systematic characterization studies confirm the successful introduction of oxygen vacancies in ZnO samples.The gas sensing investigations illustrate that the construction of controlled oxygen vacancies greatly enhances the hydrogen sensing properties of ZnO nanosheets,especially a significantly reduced operating temperature(150℃)with a higher response(~38.2 for 200 ppm),a calculated limit of detection(55 ppb)and a quick recovery speed(only 6 s).The increased molecule adsorption and narrower band gap generated by controlled oxygen vacancies contribute to their superior sensing properties.The oxygen vacancy engineering strategy of pure metal oxide semiconductor-based materials shows great potential for creating low-temperature high-response sensors.展开更多
基金supported by the Jiangsu Province Colleges'Qinglan'ProjectScientific research project of Jiangsu Provincial Health Commission(MQ2024002)Postgraduate Research&Practice Innovation Program of Jiangsu Province(KYCX25_3212)。
文摘Background Mental disorders pose a significant global health burden,especially after the coronavirus disease2019 pandemic.Aims This study aimed to characterise trends in the burden of mental disorders among adolescents and young adults by sex,age,sociodemographic index(SDI)quintile,region and country from 1990 to 2021.Methods Estimates and 95%uncertainty intervals(UIs)for disability-adjusted life years(DALYs)were extracted from the Global Burden of Diseases Study 2021.The number and rate of DALYs,as well as the percentage change from 1990 to 2021,were estimated by sex,age,SDI quintile,region and country.Results The number of DALYs for mental disorders increased from 26.1(95%UI 19.3 to 34.4)million to 36.3(95%UI 26.6 to 48.1)million.The DALY rate increased from 1687.8(1245.3 to 2225.4)per 100000 population in1990 to 1923.71408.7 to 2548.4)per 100000 population in 2021,representing a 14%(12%to 16%)increase.Females(16%(13%to 18%))and individuals aged 15-19years(16%(13%to 18%))showed the greatest increase in DALY rates.Between 1990 and 2021,DALY rates rose significantly across all SDI quintiles and regions,except East Asia(-5%(-9%to-1%)).The most rapid increases were observed in parts of Latin America,particularly for anxiety and depressive disorders.Conclusions The global burden of mental disorders among adolescents increased significantly from 1990 to2021,necessitating attention to policies targeting high-risk populations and specific regions.
基金supported by National Natural Science Foundation of China(71801206,71971203,72171219)USTC Research Funds of the Double First-Class Initiative(YD2040002004)+1 种基金the Fundamental Research Funds for the Central Universities(WK2040000027)Special Research Assistant Support Program of Chinese Academy of Sciences。
文摘The structure of Ni active sites supported on amorphous silica-alumina supports with different contents of Al_(2)O_(3)loadings in relation to their activities in ethylene oligomerization were investigated.Two kinds of Ni sites were detected by in situ FTIR-CO and H_(2)-TPR experiments,that are Ni^(2+)cations as grafted on weak acidic silanols and Ni^(2+)cations at ion-exchange positions.The ethylene oligomerization activities of these Ni/ASA catalysts were found an ascending tendency as the Al_(2)O_(3)loading decreased,which could be attributed to the enriched concentration of Ni^(2+)species on acidic silanols with a weaker interaction with the amorphous silica-alumina support.These Ni^(2+)species were more easily to be evolved into Ni^(+)species,which has been identified to be the active sites of ethylene oligomerization.Thus,it seems reasonable to conclude that Ni^(2+)species grafted on acidic silanols were the precursors of active sites.
基金Project supported by the Research Foundation of Hangzhou Dianzi University,China2011 Zhejiang Regional Collaborative Innovation Center for Smart City,China
文摘A highly reliable and selective ethanol gas sensor working in realistic environments based on alpha-Fe2O3(α-Fe2O3)nanorhombs is developed. The sensor is fabricated by integrating α-Fe2O3 nanorhombs onto a low power microheater based on micro-electro-mechanical systems(MEMS) technology. The α-Fe2O3 nanorhombs, prepared via a solvothermal method, is characterized by transmission electron microscopy(TEM), Raman spectroscopy, x-ray diffraction(XRD), and x-ray photoelectron spectroscopy(XPS). The sensing performances of the α-Fe2O3 sensor to various toxic gases are investigated. The optimum sensing temperature is found to be about 280℃. The sensor shows excellent selectivity to ethanol.For various ethanol concentrations(1 ppm-20 ppm), the response and recovery times are around 3 s and 15 s at the working temperature of 280℃, respectively. Specifically, the α-Fe2O3 sensor exhibits a response shift less than 6% to ethanol at280℃ when the relative humidity(RH) increases from 30% to 70%. The good tolerance to humidity variation makes the sensor suitable for reliable applications in Internet of Things(IoT) in realistic environments. In addition, the sensor shows great long-term repeatability and stability towards ethanol. A possible gas sensing mechanism is proposed.
基金supported by the Taishan Scholar Special Foundation of China(No.ts201511020).
文摘Deep Learning(DL)has important applications to both commercial and military communications,such as software-defined radio,cognitive radio and spectrum surveillance.While DL has been intensively studied for modulation recognition,there are very few investigations for blind identification of Space-Time Block Codes(STBCs).This paper proposes a Residual Network(RN)-based model for identifying 6 kinds of STBC signals with a single receiving antenna,including the same length of coding matrix.In our work,we use the frequency-domain correlation function of a single time delay as the training data of DL model.Then,we explore the suitable RN structure for blind identification of STBCs.Finally,we compare the RN model with convolutional neural network and traditional method,and test the performance of RN model.Simulation results show that our RN-based model provides good performance with low sensitivity to decay of the dataset,such as sample length and data size.At the same time,better identification accuracy can be achieved under the condition of different modulation types and channel fading parameters at low Signal to Noise Ratio(SNR).
基金supported by the National Natural Science Foundation of China(Nos.81371814 and 31302116)National Program on Key Research Project of China(No.2016YFD0500400)the Program of International S&T Cooperation(No.2014DFE30140)
文摘Japanese encephalitis virus （jEV） is a mosquito-borne virus of the family Flaviviridae. It is the causative agent of Japanese encephalitis with approximately 50,000 infection cases and 10,000 fatal cases annually in Asia （Erlanger et al., 2009）. Although liveattenuated JEV vaccine has been developed and used for human and pig vaccination, JE occurs epidemically or sporadically in some developing countries or even in vaccinated areas （Solomon, 2006）. Host resistance factors play an important role in the outcome of viral infection.
文摘Defects detection with Electroluminescence(EL)image for photovoltaic(PV)module has become a standard test procedure during the process of production,installation,and operation of solar modules.There are some typical defects types,such as crack,finger interruption,that can be recognized with high accuracy.However,due to the complexity of EL images and the limitation of the dataset,it is hard to label all types of defects during the inspection process.The unknown or unlabeled create significant difficulties in the practical application of the automatic defects detection technique.To address the problem,we proposed an evolutionary algorithm combined with traditional image processing technology,deep learning,transfer learning,and deep clustering,which can recognize the unknown or unlabeled in the original dataset defects automatically along with the increasing of the dataset size.Specifically,we first propose a deep learning-based features extractor and defects classifier.Then,the unlabeled defects can be classified by the deep clustering algorithm and stored separately to update the original database without human intervention.When the number of unknown images reaches the preset values,transfer learning is introduced to train the classifier with the updated database.The fine-tuned model can detect new defects with high accuracy.Finally,numerical results confirm that the proposed solution can carry out efficient and accurate defect detection automatically using electroluminescence images.
文摘Insulin has been shown to possess significant anti-apoptotic effect in myocardial ischemia/reperfusion(MI/R).However,the contribution by this protection of insulin to the prolonged cardiac function of rats subjected to ischemia remains unclear.The present study attempted to test whether early insulin treatment influences adverse prolonged post-ischemic cardiac structural and functional changes.
文摘Colorectal cancer(CRC)poses significant physical and psychological challenges that necessitate an exploration of factors influencing post-traumatic growth(PTG)for patient well-being.This study aims to investigate the effects of positive psychological capital(PsyCap)and perceived stress on mediating the social support-PTG relation among 673 CRC patients.Social support,positive PsyCap,perceived stress,and PTG were assessed through questionnaires.The results indicated a direct prediction effect of social support on PTG(LICI=0.481,ULCI=0.644),with the direct effect being 59.5%.Both positive PsyCap and perceived stress exerted a mediating role in the correlation between social support and PTG,with the mediating effects occupying 29.4%(LICI=0.217,ULCI=0.343)and 5.7%(LICI=0.030,ULCI=0.082),respectively.Positive PsyCap further had a chain mediating effect on perceived stress(LICI=0.031,ULCI=0.074),with the chain effect accounting for 5.4%.The total impact of social support on PTG was 100%(LICI=0.882,ULCI=1.008).This model underscores the pivotal role of social support in promoting PTG in CRC patients.Positive PsyCap serves as a crucial mediator in the social support-PTG link,with perceived stress playing a sequential mediating role.Thesefindings suggest that strengthening social support networks and cultivating positive PsyCap may reduce perceived stress and promote the development of PTG in CRC patients.Consequently,intervention programs are recommended to improve the psychosocial well-being of CRC patients.
基金supported by the Zhejiang Science and Technology Foundation(Grant No.LQ20F040006)。
文摘Li dendrites and electrolyte leakage are common causes of Li-ion battery failure.H_(2),generated by Li dendrites,and electrolyte vapors have been regarded as gas markers of the early safety warning of Li-ion batteries.SnO_(2)-based gas sensors,widely used for a variety of applications,are promising for the early safety detection of Li-ion batteries,which are necessary and urgently required for the development of Li-ion battery systems.However,the traditional SnO_(2)sensor,with a single signal,cannot demonstrate intelligent multi-gas recognition.Here,a single dual-mode(direct and alternating current modes)SnO_(2)sensor demonstrates clear discrimination of electrolyte vapors and H_(2),released in different states of Li-ion batteries,together with principal component analysis(PCA)analysis.This work provides insight into the intelligent technology of single gas sensors.
基金supported by the National Key R&D Program of China(Grant No.2018YFA0107400)Program for National Natural Science Foundation of China(Grants No.82170337,81730011,81970721,and 81927805)Program for Chang-Jiang Scholars and Innovative Research Team in University(Grant No.PCSIRT-14R08).
文摘Mesenchymal stem cells(MSCs)delivered into the post-ischemic heart milieu have a low survival and retention rate,thus restricting the cardioreparative efficacy of MSC-based therapy.Chronic ischemia results in metabolic reprogramming in the heart,but little is known about how these metabolic changes influence implanted MSCs.Here,we found that excessive branched-chain amino acid(BCAA)accumulation,a metabolic signature seen in the post-ischemic heart,was disadvantageous to the retention and cardioprotection of intramyocardially injected MSCs.Discovery-driven experiments revealed that BCAA at pathological levels sensitized MSCs to stress-induced cell death and premature senescence via accelerating the loss of histone 3 lysine 9 trimethylation(H3K9me3).A novel mTORC1/DUX4/KDM4E axis was identified as the cause of BCAA-induced H3K9me3 loss and adverse phenotype acquisition.Enhancing BCAA catabolic capability in MSCs via genetic/pharmacological approaches greatly improved their adaptation to the high BCAA milieu and strengthened their cardioprotective efficacy.We conclude that aberrant BCAA accumulation is detrimental to implanted MSCs via a previously unknown metabolite-signaling-epigenetic mechanism,emphasizing that the metabolic changes of the post-ischemic heart crucially influence the fate of implanted MSCs and their therapeutic benefits.
基金funded by the National Key Research&Development Program of China(No.2018YFA0107400)Program for Chang-Jiang Scholars and Innovative Research Team in University(No.PCSIRT-14R08).
文摘Background:Hypertrophic cardiomyopathy(HCM)is an underdiagnosed genetic heart disease worldwide.The management and prognosis of obstructive HCM(HOCM)and non-obstructive HCM(HNCM)are quite different,but it also remains challenging to discriminate these two subtypes.HCM is characterized by dysmetabolism,and myocardial amino acid(AA)metabolism is robustly changed.The present study aimed to delineate plasma AA and derivatives profiles,and identify potential biomarkers for HCM.Methods:Plasma samples from 166 participants,including 57 cases of HOCM,52 cases of HNCM,and 57 normal controls(NCs),who first visited the International Cooperation Center for HCM,Xijing Hospital between December 2019 and September 2020,were collected and analyzed by high-performance liquid chromatography-mass spectrometry based on targeted AA metabolomics.Three separate classification algorithms,including random forest,support vector machine,and logistic regression,were applied for the identification of specific AA and derivatives compositions for HCM and the development of screening models to discriminate HCM from NC as well as HOCM from HNCM.Results:The univariate analysis showed that the serine,glycine,proline,citrulline,glutamine,cystine,creatinine,cysteine,choline,and aminoadipic acid levels in the HCM group were significantly different from those in the NC group.Four AAs and derivatives(Panel A;proline,glycine,cysteine,and choline)were screened out by multiple feature selection algorithms for discriminating HCM patients from NCs.The receiver operating characteristic(ROC)analysis in Panel A yielded an area under the ROC curve(AUC)of 0.83(0.75-0.91)in the training set and 0.79(0.65-0.94)in the validation set.Moreover,among 10 AAs and derivatives(arginine,phenylalanine,tyrosine,proline,alanine,asparagine,creatine,tryptophan,ornithine,and choline)with statistical significance between HOCM and HNCM,3 AAs(Panel B;arginine,proline,and ornithine)were selected to differentiate the two subgroups.The AUC values in the training and validation sets for Panel B were 0.83(0.74-0.93)and 0.82(0.66-0.98),respectively.Conclusions:The plasma AA and derivatives profiles were distinct between the HCM and NC groups.Based on the differential profiles,the two established screening models have potential value in assisting HCM screening and identifying whether it is obstructive.
基金support in part by the Technology Research and Development Program of Zhejiang Province (2022C01239)the National Natural Science Foundation of China (52177119)the Fundamental Research Funds for the Central Universities (Zhejiang University NGICS Platform).
文摘The‘mismatch losses’problem is commonly encountered in distributed photovoltaic(PV)power generation systems.It can directly reduce power generation.Hence,PV array reconfiguration techniques have become highly popular to minimize the mismatch losses.In this paper,a dynamical array reconfiguration method for Total-Cross-Ties(TCT)and Series-Parallel(SP)interconnected PV arrays is proposed.The method aims to improve the maximum power output generation of a distributed PV array in different mismatch conditions through a set of inverters and a switching matrix that is controlled by a dynamic and scalable reconfiguration optimization algorithm.The structures of the switching matrix for both TCT-based and SP-based PV arrays are designed to enable flexible alteration of the electrical connections between PV strings and inverters.Also,the proposed reconfiguration solution is scalable,because the size of the switching matrix deployed in the proposed solution is only determined by the numbers of the PV strings and the inverters,and is not related to the number of PV modules in a string.The performance of the proposed method is assessed for PV arrays with both TCT and SP interconnections in different mismatch conditions,including different partial shading and random PV module failure.The average optimization time for TCT and SP interconnected PV arrays is 0.02 and 3 s,respectively.The effectiveness of the proposed dynamical reconfiguration is confirmed,with the aver-age maximum power generation improved by 8.56%for the TCT-based PV array and 6.43%for the SP-based PV array compared to a fixed topology scheme.
基金The National Key Research and Development Program of China(Basic Research Class 2017YFB0903000)Basic Theories and Methods of Analysis and Control of the Cyber Physical Systems for Power Grid,and the Natural Science Foundation of Zhejiang Province(LZ15E070001).
文摘Background:The increasing penetration of a massive number of plug-in electric vehicles(PEVs)and distributed generators(DGs)into current power distribution networks imposes obvious challenges on power distribution network operation.Methods:This paper presents an optimal temporal-spatial scheduling strategy of PEV charging demand in the presence of DGs.The solution is designed to ensure the reliable and secure operation of the active power distribution networks,the randomness introduced by PEVs and DGs can be managed through the appropriate scheduling of the PEV charging demand,as the PEVs can be considered as mobile energy storage units.Results:As a result,the charging demands of PEVs are optimally scheduled temporally and spatially,which can improve the DG utilization efficiency as well as reduce the charging cost under real-time pricing(RTP).Conclusions:The proposed scheduling strategy is evaluated through a series of simulations and the numerical results demonstrate the effectiveness and the benefits of the proposed solution.
基金supported by National Natural Science Foundation of China(Grant Number:72164040).
文摘What is already known about this topic?A substantial proportion of people living with human immunodeficiency virus(PLWH)remain unaware of their infection status.Contact tracing serves as an effective public health tool for identifying human immunodeficiency virus(HIV)infections and supports progress toward achieving the 95-95-95-95 goals.What is added by this report?
文摘With continually improving reperfusion strategies and patient care,the overall mortality of acute myocardial infarction(AMI)has been significantly reduced during the past two decades.However,this success is a double-edged sword,as many patients surviving an AMI will progress towards ischemic heart failure(HF)over time.The pathologic causes of ischemic HF are undoubtedly multifactorial.However,the inflammatory response is considered one of the most important causes of pathological remodeling because it spans the whole process of HF development.The macrophage-mediated inflammatory response was once considered a purely harmful factor leading to pathological remodeling and HF.However,growing evidence demonstrates that multiple subgroups of macrophage exist and contribute differently to ischemic HF development.Understanding macrophage populations and how they contribute to post-MI remodeling and consequent ischemic HF is,therefore,critical to understanding and treating the disease.This review focuses on different macrophage populations that regulate post-MI cardiac injury and how immunoregulation therapy may benefit patients with ischemic HF.
文摘Introduction In clinical practice,heart and liver dysfunctions often coexist in individuals with diseases of both organs,because of complex cardio-hepatic interactions.It is becoming increasingly crucial to identify interactions between the heart and liver,to ensure effective management of patients with heart or liver disease,and to provide improved overall prognosis and therapies.[1]
基金supported by funding from the Leading Innovative and Entrepreneur Team Introduction Program of Zhejiang(2019R01006)the National Natural Science Foundation of China(No.52172244).
文摘Metal oxide semiconductor-based chemiresistors have been facing challenges in achieving low-temperature hydrogen sensing at the ppb level.The oxygen vacancy is considered to play a vital role in gas sensing properties.However,a nonstoichiometric metal oxide semiconductor with efficient and controllable oxygen vacancies is not easily accessible.Herein,a facile solution reduction method of NaBH_(4)was developed to modulate the oxygen vacancies of ZnO nanosheets.The systematic characterization studies confirm the successful introduction of oxygen vacancies in ZnO samples.The gas sensing investigations illustrate that the construction of controlled oxygen vacancies greatly enhances the hydrogen sensing properties of ZnO nanosheets,especially a significantly reduced operating temperature(150℃)with a higher response(~38.2 for 200 ppm),a calculated limit of detection(55 ppb)and a quick recovery speed(only 6 s).The increased molecule adsorption and narrower band gap generated by controlled oxygen vacancies contribute to their superior sensing properties.The oxygen vacancy engineering strategy of pure metal oxide semiconductor-based materials shows great potential for creating low-temperature high-response sensors.
