This study examines the physical features of traditional mosques in the Quzzat(Bardrani)quarter of Herat Old City,Afghanistan.Traditional mosques are constructed with locally available materials and are planned based ...This study examines the physical features of traditional mosques in the Quzzat(Bardrani)quarter of Herat Old City,Afghanistan.Traditional mosques are constructed with locally available materials and are planned based on cultural and climatic conditions.Mosques are categorised as modern or traditional.Traditional mosques are divided into three subcategories:preserved,damaged(defaced),and transformed.Transformed mosques are formerly traditional mosques reconstructed with modern or industrial materials(concrete and reinforcement).This study explores the distribution of mosques and analyses their plan typology.Mosques are categorised into five plan types,and three relative case studies are described in detail to provide a better understanding and an in-depth analysis of mosque typology.展开更多
BACKGROUND Adolescent/adult pancreatoblastoma(PB)is an uncommon malignant pancreatic tumor.The paucity of data stemming from the rarity of this disease leads to minimal generalized guidelines regarding its diagnosis a...BACKGROUND Adolescent/adult pancreatoblastoma(PB)is an uncommon malignant pancreatic tumor.The paucity of data stemming from the rarity of this disease leads to minimal generalized guidelines regarding its diagnosis and treatment.There is a limited number of case reports in the literature and there has been no recent analysis of the literature to consolidate their common features.The purpose of the featured study is to review the available cases of adolescent/adult PB and analyze the common genetic features,histologic features,treatment regimens,tumor sizes,tumor locations,and areas of metastasis to advance ongoing research and better understand and treat this rare condition.AIM To present a patient case and systematically review all available cases in the literature to consolidate the common physical,genetic,and histologic features of PB.METHODS This is a systematic review of the literature with a case study.A total of 89 patient cases were discovered in the literature database for adolescent/adult PB,all of which were reviewed and are included in our research.Patients aged 16-18 were considered adolescent and patients aged greater than 18 were considered adult.Adolescents and adults were grouped together for the purpose of this study.The patient from the case report was seen in a community hospital setting.RESULTS The 89 cases analyzed from the literature were found in 51 references(our case report included),which were consolidated into the six categories mentioned above.A plurality of references reports PB in the head of the pancreas,4.0-10.0 cm in size,and with the most common site of metastasis to the liver.Histology studies most commonly included acinar groups,squamous corpuscles/nests,cytokeratin,chromogranin,trypsin,chymotrypsin,and synaptophysin.Genetic studies most commonly included adenomatous polyposis coli,B-cell lymphoma/leukemia 10,catenin beta 1,and Wnt/beta-catenin mutations.The mainstay of treatment was surgery with chemotherapy typically including cisplatin,carboplatin,doxorubicin,5 fluorouracil,mitomycin,bleomycin,gemcitabine,and vindesine.Radiation was also often used.CONCLUSION Common pancreatoblastoma features include acinar groups,chromogranin,chymotrypsin,squamous corpuscles,synaptophysin and trypsin on histology and adenomatous polyposis coli,B-cell lymphoma/leukemia 10,catenin beta 1,and Wnt/beta-catenin genetic mutations.展开更多
Based on routine weather charts, numerical predication products and satellite cloud images, the causes of an infrequent regional hail weather process occurred in east of Gansu on Aug. 2, 2006 were diagnosed and analyz...Based on routine weather charts, numerical predication products and satellite cloud images, the causes of an infrequent regional hail weather process occurred in east of Gansu on Aug. 2, 2006 were diagnosed and analyzed. The results showed that the hail weather process occurred at the abnormal large-scale circulation leading the system to west. When the cold trough, which was separated by the north cold vortex, moved southward through Hetao and then intersected with 300 hPa jet stream and the surface cold front, that led to the strong convection. There were strong upward motion and unstable stratification in hail area, three MCS in satellite cloud, and a character of formed arch shape echo on radar echo charts.展开更多
Battery capacity assessment is a crucial research direction in the field of lithium-ion battery applications.In the previous research,a novel data-driven state of health(SOH)estimation method based on the voltage rela...Battery capacity assessment is a crucial research direction in the field of lithium-ion battery applications.In the previous research,a novel data-driven state of health(SOH)estimation method based on the voltage relaxation curve at full charging is developed.The experimental results have shown the evidence of the superiority of accurate battery SOH estimation based on physical features derived from equivalent circuit models(ECMs).However,the earlier research has limitations in estimating battery capacity with a diversity of battery charging states of charge.This study represents an extension of the previous work,aiming to investigate the feasibility of this technology for battery degradation evaluation under various charging states so that the application capability in practice is enhanced.In this study,six ECM features are extracted from 10-min voltage relaxation data across varying charging states to characterize the battery degradation evolution.Gaussian process regression(GPR)is employed to learn the relationship between the physical features and battery SOH.Experimental results under 10 different state of charge(SOC)ranges show that the developed methodology predicts accurate battery SOH,with a root mean square error being 0.9%.展开更多
Based on the techniques of X-ray diffraction analysis, identification of the thin sections of core cast, phys- ical analysis and scanning electron microscopy analysis, this paper studied the reservoir characteristics ...Based on the techniques of X-ray diffraction analysis, identification of the thin sections of core cast, phys- ical analysis and scanning electron microscopy analysis, this paper studied the reservoir characteristics of the Carboniferous strata in Donghe well No.1 of Tarim region. The results show that the reservoir lithology is mainly the fine-grained quartz sandstone with ferrocalcite and pyrite, mud cement-based, the permeability concentrated in 5-40 × 10-3 μm2, a small part of the high permeability up to 150-327 ×10-3 μm2 and porosity ranged from 10% to 20%. The most part of the reservoirs is low perme- ability with a small part of the layer in moderate-high permeability. The types of reservoir space include intergranular pores, intra particle-molding pores, micro-pores and cracks, which mainly are intergranular pores with the pore diameter of 15-200 μm, 95.5μm on average. And the types of the throats are comolex with the main tvne of constricted l：hroats in this area and large contribution to the permeability.展开更多
As a natural disaster,extreme precipitation is among the most destructive and influential,but predicting its occurrence and evolution accurately is very challenging because of its rarity and uniqueness.Taking the exam...As a natural disaster,extreme precipitation is among the most destructive and influential,but predicting its occurrence and evolution accurately is very challenging because of its rarity and uniqueness.Taking the example of the“21·7”extreme precipitation event(17–21 July 2021)in Henan Province,this study explores the potential of using physics-guided machine learning to improve the accuracy of forecasting the intensity and location of extreme precipitation.Three physics-guided ways of embedding physical features,fusing physical model forecasts and revised loss function are used,i.e.,(1)analyzing the anomalous circulation and thermodynamical factors,(2)analyzing the multi-model forecast bias and the associated underlying reasons for it,and(3)using professional forecasting knowledge to design the loss function,and the corresponding results are used as input for machine learning to improve the forecasting accuracy.The results indicate that by learning the relationship between anomalous physical features and heavy precipitation,the forecasting of precipitation intensity is improved significantly,but the location is rarely adjusted and more false alarms appear.Possible reasons for this are as follows.The anomalous features used here mainly contain information about large-scale systems and factors which are consistent with the model precipitation deviation;moreover,the samples of extreme precipitation are sparse and so the algorithm used here is simple.However,by combining“good and different”multi models with machine learning,the advantages of each model are extracted and then the location of the precipitation center in the forecast is improved significantly.Therefore,by combining the appropriate anomalous features with multi-model fusion,an integrated improvement of the forecast of the rainfall intensity and location is achieved.Overall,this study is a novel exploration to improve the refined forecasting of heavy precipitation with extreme intensity and high variability,and provides a reference for the deep fusion of physics and artificial intelligence methods to improve intense rain forecast.展开更多
文摘This study examines the physical features of traditional mosques in the Quzzat(Bardrani)quarter of Herat Old City,Afghanistan.Traditional mosques are constructed with locally available materials and are planned based on cultural and climatic conditions.Mosques are categorised as modern or traditional.Traditional mosques are divided into three subcategories:preserved,damaged(defaced),and transformed.Transformed mosques are formerly traditional mosques reconstructed with modern or industrial materials(concrete and reinforcement).This study explores the distribution of mosques and analyses their plan typology.Mosques are categorised into five plan types,and three relative case studies are described in detail to provide a better understanding and an in-depth analysis of mosque typology.
基金Supported by the Honor Health Foundation,Michael and Mary Ellen Francisthe Seena Magowitz Foundation.
文摘BACKGROUND Adolescent/adult pancreatoblastoma(PB)is an uncommon malignant pancreatic tumor.The paucity of data stemming from the rarity of this disease leads to minimal generalized guidelines regarding its diagnosis and treatment.There is a limited number of case reports in the literature and there has been no recent analysis of the literature to consolidate their common features.The purpose of the featured study is to review the available cases of adolescent/adult PB and analyze the common genetic features,histologic features,treatment regimens,tumor sizes,tumor locations,and areas of metastasis to advance ongoing research and better understand and treat this rare condition.AIM To present a patient case and systematically review all available cases in the literature to consolidate the common physical,genetic,and histologic features of PB.METHODS This is a systematic review of the literature with a case study.A total of 89 patient cases were discovered in the literature database for adolescent/adult PB,all of which were reviewed and are included in our research.Patients aged 16-18 were considered adolescent and patients aged greater than 18 were considered adult.Adolescents and adults were grouped together for the purpose of this study.The patient from the case report was seen in a community hospital setting.RESULTS The 89 cases analyzed from the literature were found in 51 references(our case report included),which were consolidated into the six categories mentioned above.A plurality of references reports PB in the head of the pancreas,4.0-10.0 cm in size,and with the most common site of metastasis to the liver.Histology studies most commonly included acinar groups,squamous corpuscles/nests,cytokeratin,chromogranin,trypsin,chymotrypsin,and synaptophysin.Genetic studies most commonly included adenomatous polyposis coli,B-cell lymphoma/leukemia 10,catenin beta 1,and Wnt/beta-catenin mutations.The mainstay of treatment was surgery with chemotherapy typically including cisplatin,carboplatin,doxorubicin,5 fluorouracil,mitomycin,bleomycin,gemcitabine,and vindesine.Radiation was also often used.CONCLUSION Common pancreatoblastoma features include acinar groups,chromogranin,chymotrypsin,squamous corpuscles,synaptophysin and trypsin on histology and adenomatous polyposis coli,B-cell lymphoma/leukemia 10,catenin beta 1,and Wnt/beta-catenin genetic mutations.
基金Supported by Meteorological Research Program of Gansu Province:Thunder and Lightning Monitor Based on New Generation Weather Radar and LD-II Thunder and Lightning Locator Prediction Services System Research of Pingliang City
文摘Based on routine weather charts, numerical predication products and satellite cloud images, the causes of an infrequent regional hail weather process occurred in east of Gansu on Aug. 2, 2006 were diagnosed and analyzed. The results showed that the hail weather process occurred at the abnormal large-scale circulation leading the system to west. When the cold trough, which was separated by the north cold vortex, moved southward through Hetao and then intersected with 300 hPa jet stream and the surface cold front, that led to the strong convection. There were strong upward motion and unstable stratification in hail area, three MCS in satellite cloud, and a character of formed arch shape echo on radar echo charts.
基金supported by the National Natural Science Foundation of China(No.52307234)Beijing Natural Science Foundation(Grant No.L223013).
文摘Battery capacity assessment is a crucial research direction in the field of lithium-ion battery applications.In the previous research,a novel data-driven state of health(SOH)estimation method based on the voltage relaxation curve at full charging is developed.The experimental results have shown the evidence of the superiority of accurate battery SOH estimation based on physical features derived from equivalent circuit models(ECMs).However,the earlier research has limitations in estimating battery capacity with a diversity of battery charging states of charge.This study represents an extension of the previous work,aiming to investigate the feasibility of this technology for battery degradation evaluation under various charging states so that the application capability in practice is enhanced.In this study,six ECM features are extracted from 10-min voltage relaxation data across varying charging states to characterize the battery degradation evolution.Gaussian process regression(GPR)is employed to learn the relationship between the physical features and battery SOH.Experimental results under 10 different state of charge(SOC)ranges show that the developed methodology predicts accurate battery SOH,with a root mean square error being 0.9%.
基金financially supported by the National Major Special Projects of China (No. 2011ZX05005-002-009HZ)the Natural Science Foundation Project of CQ CSTC of China (No. cstc2012jjA90009)+1 种基金the Research Foundation of Chongqing University of Science & Technology of China (Nos. CK20111312, CK2013Z04)the Program of Educational Reform of Chongqing University of Science & Technology of China (No. 201424).
文摘Based on the techniques of X-ray diffraction analysis, identification of the thin sections of core cast, phys- ical analysis and scanning electron microscopy analysis, this paper studied the reservoir characteristics of the Carboniferous strata in Donghe well No.1 of Tarim region. The results show that the reservoir lithology is mainly the fine-grained quartz sandstone with ferrocalcite and pyrite, mud cement-based, the permeability concentrated in 5-40 × 10-3 μm2, a small part of the high permeability up to 150-327 ×10-3 μm2 and porosity ranged from 10% to 20%. The most part of the reservoirs is low perme- ability with a small part of the layer in moderate-high permeability. The types of reservoir space include intergranular pores, intra particle-molding pores, micro-pores and cracks, which mainly are intergranular pores with the pore diameter of 15-200 μm, 95.5μm on average. And the types of the throats are comolex with the main tvne of constricted l：hroats in this area and large contribution to the permeability.
基金supported by the National Key R&D Project(Grant No.2021YFC3000903)the National Natural Science Foundation of China(Grant Nos.42275013,42030611,42075002)+2 种基金the CMA Innovation Foundation(Grant No.CXFZ2023J001)the Open Grants of the State Key Laboratory of Severe Weather(Grant No.2023LASW-B05)the Key Foundation of Zhejiang Provincial Department of Science and Technology(Grant No.2022C03150)。
文摘As a natural disaster,extreme precipitation is among the most destructive and influential,but predicting its occurrence and evolution accurately is very challenging because of its rarity and uniqueness.Taking the example of the“21·7”extreme precipitation event(17–21 July 2021)in Henan Province,this study explores the potential of using physics-guided machine learning to improve the accuracy of forecasting the intensity and location of extreme precipitation.Three physics-guided ways of embedding physical features,fusing physical model forecasts and revised loss function are used,i.e.,(1)analyzing the anomalous circulation and thermodynamical factors,(2)analyzing the multi-model forecast bias and the associated underlying reasons for it,and(3)using professional forecasting knowledge to design the loss function,and the corresponding results are used as input for machine learning to improve the forecasting accuracy.The results indicate that by learning the relationship between anomalous physical features and heavy precipitation,the forecasting of precipitation intensity is improved significantly,but the location is rarely adjusted and more false alarms appear.Possible reasons for this are as follows.The anomalous features used here mainly contain information about large-scale systems and factors which are consistent with the model precipitation deviation;moreover,the samples of extreme precipitation are sparse and so the algorithm used here is simple.However,by combining“good and different”multi models with machine learning,the advantages of each model are extracted and then the location of the precipitation center in the forecast is improved significantly.Therefore,by combining the appropriate anomalous features with multi-model fusion,an integrated improvement of the forecast of the rainfall intensity and location is achieved.Overall,this study is a novel exploration to improve the refined forecasting of heavy precipitation with extreme intensity and high variability,and provides a reference for the deep fusion of physics and artificial intelligence methods to improve intense rain forecast.
