It has been 10 years since we published the first report describing use of the ShangRing for circumcision in boys and men. That report, by Peng et al.{ from China, showed that the device was safe and that ShangRing ci...It has been 10 years since we published the first report describing use of the ShangRing for circumcision in boys and men. That report, by Peng et al.{ from China, showed that the device was safe and that ShangRing circumcision was quicker than with conventional surgical techniques commonly used. The ShangRing, pictured in Figure 1, isa novel collar clamp circumcision device that was invented by Mu Jian-Zhong Shang in China in the early 2000s to reduce potential surgical complications following male circumcision. Based on its successful use in 2006, Mr. Shang started SNNDA Medical Company to produce and distribute the ShangRing. The device has two parts consisting of an inner ring and an outer ring. The foreskin is sandwiched between the two rings, ensuring hemostasis without the need for suturing, which greatly simplifies the circumcision. The device is typically removed by a clinician 7-10 days later.展开更多
BACKGROUND: Living donor liver transplantation is a complex surgical operation. Treatment policies and operative techniques evolved in the last two decades. DATA SOURCES: Our center's experience in living donor li...BACKGROUND: Living donor liver transplantation is a complex surgical operation. Treatment policies and operative techniques evolved in the last two decades. DATA SOURCES: Our center's experience in living donor liver transplantation was reviewed in conjunction with relevant publications in the literature. RESULTS: The surgical techniques and perioperative surgical therapeutics could be modified towards simplicity. Examples include regular inclusion of the middle hepatic vein without compromising the venous outflow of the donor's remnant left liver. This provides excellent venous outflow, which is crucial for a small-for-size graft. Immunosuppression and hepatitis B suppression are steroid free and hepatitis B immunoglobulin free respectively. CONCLUSION: The most practical way to achieve high graft and recipient survival rates with an acceptably low donor risk is through design of a protocol that simplifies the surgery and postoperative management.展开更多
A considerable effort has been made in the literature for quality assurance (QA) and quality checking (QC) of the petrophysical log data for computation of reservoir rock property parameters. Well log data plays an in...A considerable effort has been made in the literature for quality assurance (QA) and quality checking (QC) of the petrophysical log data for computation of reservoir rock property parameters. Well log data plays an integral role in building a rock physics model for quantitative interpretation (QI) work. A poor-quality rock physics model may lead to significant financial and HSSE implications by drilling wells in undesired locations. Historically, a variety of techniques have been used including histograms and cross plots for reviewing the feasibility of petrophysical logs for QI work. However, no attempt has ever been made to introduce a simplified workflow. This paper serves two-fold. It provides a simplified step by step approach for building a petrophysics/rock physics model. A case study has been presented to compare the synthetic seismogram generated from the simplified workflow with the actual seismic trace at well locations. Secondly, the paper shows how a few key cross plots and rock property parameters provide adequate information to validate petrophysical data, distinguish overburden and reservoir sections, and to help identify fluids and saturation trends within the reservoir sands. In the mentioned case study, the robustness of the simplified rock physics model has helped seismic data to successfully distinguish hydrocarbon bearing reservoir sands from non-reservoir shales.展开更多
This study presents a hybrid methodology for predicting building collapses within the Intelligent Circular Resilience(ICR)framework.This uses a supervised Machine Learning(ML)approach,earthquake damage re-ports,and th...This study presents a hybrid methodology for predicting building collapses within the Intelligent Circular Resilience(ICR)framework.This uses a supervised Machine Learning(ML)approach,earthquake damage re-ports,and the Simplified Resilience Index(SRI),derived from existing earthquake damage models(EDM)-based on fragility and vulnerability functions-used in the probabilistic seismic risk assessment(PSRA).A curated building damage database comprising 89 structures(71 collapsed and 18 non-collapsed)from ten countries affected by major earthquakes(Mw 6.1-8.1,epicentral distances of 3-125 km,and PGA values ranging from 0.14 g to 0.82 g)was developed,including attributes related to exposure:occupancy,main structural material,number of stories,construction year,and hazard:magnitude,epicentral distance,intensity measures(Peak-ground acceleration,PGA,and elastic spectral acceleration).The dataset includes events such as the 2017 Puebla-Morelos earthquake(Mw 7.1,Mexico),the 1999 Kocaeli earthquake(Mw 7.6,Turkey),and the 2011 Christchurch earthquake(Mw 6.1,New Zealand),among others.Likewise,dependent attributes such as time elapsed and SRI(under 120-,180-,and 365-day recovery scenarios)were calculated using 2-EDMs.Eight Random Forest models were trained and tested for collapse and non-collapse classification using combinations of independent and dependent attributes.The results indicate that models incorporating exposure-related varia-bles-such as structural material,number of stories,construction year,and occupancy-alongside the SRI significantly improve collapse classification performance,achieving recall and F1 scores above 95%.Notably,many collapsed buildings exhibited low intensities(PGA≤0.25 g),emphasizing the influence of local site effects-particularly in Mexico City.The findings demonstrate that incorporating SRI enhances the reliability of collapse prediction and supports its use as an interpretable resilience proxy during early ICR stages.This hybrid methodology bridges empirical data,traditional PSRA models,and ML techniques,contributing to more accurate and scalable post-earthquake resilience assessments.展开更多
For ordinary tourists, simpler entry and exit procedures and a broader range of duty-free goods in Hainan create a better travel and shopping experience.For China’s earnest endeavor to deepen reform and opening-up, i...For ordinary tourists, simpler entry and exit procedures and a broader range of duty-free goods in Hainan create a better travel and shopping experience.For China’s earnest endeavor to deepen reform and opening-up, implementation of the special customs operations policy in Hainan represents a significant step forward. For businesses in Malaysia and other ASEAN member states, especially export-oriented small and medium-sized enterprises (SMEs), Hainan serves as a“transit hub” for accessing the Chinese market and even other Asian markets.展开更多
Hainan Province in south China is the country’s second-largest island and the largest free trade port by area.It has entered a historic phase in China’s drive to promote high-level institutional opening up.On 18 Dec...Hainan Province in south China is the country’s second-largest island and the largest free trade port by area.It has entered a historic phase in China’s drive to promote high-level institutional opening up.On 18 December 2025,Hainan officially launched island-wide special customs operations,commonly referred to as“customs closure.”From that date,goods entering or leaving the island,except those traded with the Chinese mainland,are subject to simplified customs procedures and potentially reduced or zero tariffs.展开更多
This study proposes a multi-scale simplified residual convolutional neural network(MS-SRCNN)for the precise prediction of Mg-Nd binary alloy compositions from scanning electron microscope(SEM)images.A multi-scale data...This study proposes a multi-scale simplified residual convolutional neural network(MS-SRCNN)for the precise prediction of Mg-Nd binary alloy compositions from scanning electron microscope(SEM)images.A multi-scale data structure is established by spatially aligning and stacking SEM images at different magnifications.The MS-SRCNN significantly reduces computational runtime by over 90%compared to traditional architectures like ResNet50,VGG16,and VGG19,without compromising prediction accuracy.The model demonstrates more excellent predictive performance,achieving a>5%increase in R^(2) compared to single-scale models.Furthermore,the MS-SRCNN exhibits robust composition prediction capability across other Mg-based binary alloys,including Mg-La,Mg-Sn,Mg-Ce,Mg-Sm,Mg-Ag,and Mg-Y,thereby emphasizing its generalization and extrapolation potential.This research establishes a non-destructive,microstructure-informed composition analysis framework,reduces characterization time compared to traditional experiment methods and provides insights into the composition-microstructure relationship in diverse material systems.展开更多
Dear Editor,This letter investigates the optimal transmission scheduling problem in remote state estimation systems over an unknown wireless channel.We propose a partially observable Markov decision Process(POMDP)fram...Dear Editor,This letter investigates the optimal transmission scheduling problem in remote state estimation systems over an unknown wireless channel.We propose a partially observable Markov decision Process(POMDP)framework to model the sensor scheduling problem.By truncating and simplifying the POMDP problem,we have established the properties of the optimal solution under the POMDP model,through a fixed-point contraction method,and have shown that the threshold structure of the POMDP solution is not easily attainable.Subsequently,we obtained a suboptimal solution via Qlearning.Numerical simulations are used to demonstrate the efficacy of the proposed Q-learning approach.展开更多
Neuroimmunology is emerging as a pivotal field,shedding light on the intricate dialogues between the central nervous system(CNS)and the immune system.This exploration is particularly significant in understanding micro...Neuroimmunology is emerging as a pivotal field,shedding light on the intricate dialogues between the central nervous system(CNS)and the immune system.This exploration is particularly significant in understanding microglia,the CNS’s innate immune cells,beyond the conventional conflation of“neuroinflammation”and“microglial activation.”This conflation has clouded the true complexity of these processes,potentially stalling scientific progress and the development of new therapies.We challenge the long-standing perspectives that have oversimplified these interactions,advocating for a deeper exploration of the dynamic relationship between neuroinflammation and microglial activation.By dissecting specific molecular pathways,we aim to illuminate their elaborate roles in neuroinflammatory responses,especially in the context of Alzheimer’s disease(AD).Here,neuroinflammation is not merely a passive observer or a direct antagonist but a complex agent in the disease’s progression.This article calls for a significant paradigm shift towards an integrative,multi-omics approach to neuroimmunology.Adopting such a comprehensive framework is crucial for advancing our understanding of neuroinflammatory conditions and paving the way for targeted therapeutic strategies for brain diseases.展开更多
Background: Early research describing the concept of intensity-modulated conformal radiotherapy (IMRT) was based on 7 to 9 beams to reach an adequate level of modulation. Nevertheless, its implementation demands signi...Background: Early research describing the concept of intensity-modulated conformal radiotherapy (IMRT) was based on 7 to 9 beams to reach an adequate level of modulation. Nevertheless, its implementation demands significant resources. Our objective was to compare the compliance and homogeneity of target dose distribution between simplified IMRT and 3D-CRT in patients with cervical cancer and to assess the clinical value of simplified IMRT. Materials and Methods: From 2016 to 2017, 17 patients with stage IIB - IIIC cervical cancer were treated with external beam radiotherapy using simplified IMRT (12 cases) or 3DCRT (05 cases) and brachytherapy. Prior to radiotherapy, CT scans were conducted to delineate the target volume. The clinical target volume (CTV) included the uterus, primary tumor, supravaginal portion of the cervix, paracervical tissue, common iliac, internal and external iliac lymph nodes, obturator, and pre sacral lymph nodes, and the surrounding tissues. If the lower vagina was involved, the target volume included the whole vagina. The planning target volume (PTV) included the CTV with 1 cm anteriorly and 0.5 cm in all other directions. The PTV received 95% of 45 Gy (1.8 Gy/25 fraction). Dose-volume histogram, conformity index, homogeneity index, and treatment time per fraction were compared. Results: The 3D-CRT plan was more homogeneous than the simplified IMRT plan, while the simplified IMRT plan was more conformal. The volume of small bowels that received high-dose radiation significantly increased with simplified IMRT compared to 3D-CRT. Treatment time per fraction was 6 and 13 minutes for 3D-CRT and simplified IMRT, respectively. Conclusion: The simplified IMRT treatment plan is technically and dosimetrically acceptable and an alternative to the classic 3D-CRT plan for cervical cancer. It provides better dose distribution than 3D-CRT. However, the 3D-CRT treatment plan significantly reduced the overall treatment time per fraction.展开更多
Acute myocardial infarction(AMI)is a leading cause of death and disability worldwide and consists of two distinct cardiac pathologies:ST-elevation myocardial infarction(STEMI)and non-ST-elevation myocardial infarction...Acute myocardial infarction(AMI)is a leading cause of death and disability worldwide and consists of two distinct cardiac pathologies:ST-elevation myocardial infarction(STEMI)and non-ST-elevation myocardial infarction(NSTEMI).[1]In China,AMI is widely recognized as a predominant cause of mortality in both urban and rural demographics,based on the 2022 Report on Cardiovascular Health and Diseases in China;moreover,its mortality rate has been reported to be rising,with a recurrence rate of 2.5%within one year.展开更多
Many countries throughout the world have experienced large earthquakes,which cause building damage or collapse.After such earthquakes,structures must be inspected rapidly to judge whether they are safe to reoccupy.To ...Many countries throughout the world have experienced large earthquakes,which cause building damage or collapse.After such earthquakes,structures must be inspected rapidly to judge whether they are safe to reoccupy.To facilitate the inspection process,the authors previously developed a rapid building safety assessment system using sparse acceleration measurements for steel framed buildings.The proposed system modeled nonlinearity in the measurement data using a calibrated simplified lumped-mass model and convolutional neural networks(CNNs),based on which the buildinglevel damage index was estimated rapidly after earthquakes.The proposed system was validated for a nonlinear 3D numerical model of a five-story steel building,and later for a large-scale specimen of an 18-story building in Japan tested on the E-Defense shaking table.However,the applicability of the safety assessment system for reinforced concrete(RC)structures with complex hysteretic material nonlinearity has yet to be explored;the previous approach based on a simplified lumpedmass model with a Bouc-Wen hysteretic model does not accurately represent the inherent nonlinear behavior and resulting damage states of RC structures.This study extends the rapid building safety assessment system to low-rise RC moment resisting frame structures representing typical residential apartments in Japan.First,a safety classification for RC structures based on a damage index consistent with the current state of practice is defined.Then,a 3D nonlinear numerical model of a two-story moment frame structure is created.A simplified lumped-mass nonlinear model is developed and calibrated using the 3D model,incorporating the Takeda degradation model for the RC material nonlinearity.This model is used to simulate the seismic response and associated damage sensitive features(DSF)for random ground motion.The resulting database of responses is used to train a convolutional neural network(CNN)that performs rapid safety assessment.The developed system is validated using the 3D nonlinear analysis model subjected to historical earthquakes.The results indicate the applicability of the proposed system for RC structures following seismic events.展开更多
1 Active Disturbance Rejection Control(ADRC):a brief survey Since its inception,Active Disturbance Rejection Control(ADRC)has re-centered feedback controller design around two fundamental ideas—along with a consequen...1 Active Disturbance Rejection Control(ADRC):a brief survey Since its inception,Active Disturbance Rejection Control(ADRC)has re-centered feedback controller design around two fundamental ideas—along with a consequential design simplification:real-time estimation and online cancellation of the“total disturbance”conceived as the lumped effect of unknown internal dynamics and external inputs.The simplified design then proceeds in a customary fashion for the ideally remaining system model,which is devoid of the total disturbance.展开更多
According to the severe drop in the planting area of cotton in recent years, cotton variety Yinshan 8 was intercropped with onions and watermelon by using efficient and simplified interplanting cultivation techniques,...According to the severe drop in the planting area of cotton in recent years, cotton variety Yinshan 8 was intercropped with onions and watermelon by using efficient and simplified interplanting cultivation techniques, such as large-scale and intensive planting, mechanized intertillage, integrated management of water and fertilizer, etc. The application of the techniques could reduce production cost, improve the comprehensive benefit of cotton planting, increase farmers＇ income, and promote the sustainable development of rural economy.展开更多
The authors constructed a simplified model of spring wheat (Triticum aestivum L.) carbon assimilation and dry matter accumulation (DMA) process which consisted of two independent variables, day length (L) and total...The authors constructed a simplified model of spring wheat (Triticum aestivum L.) carbon assimilation and dry matter accumulation (DMA) process which consisted of two independent variables, day length (L) and total daily radiation (TDR). Leaf water potential (Ψ) was incorporated into the simplified growth model based on the assumption that both light use efficiency (α) and CO 2 conductance of assimilation (g c) were depressed by water limitation. Finally,Ψ was estimated from a regression equation in which the independent variables were relative soil water content in the upper 80 cm (θ R,80 ), ambient temperature (T a), vapor pressure deficit (VPD), the cumulative leaf water potential below thresholds of -1.5 MPa (Ψ c,1.5 ). Some applications in research program of field experiment of atmosphere_land surface processes in Heihe River region were tested. The simulated data agreed well with the data observed at Linze oasis in 1989 for various levels of water supply and at Zhangye oasis in 1992 in the field. The analysis and simulation using the model demonstrated that the simplified growth model could describe very well the DMA process of spring wheat with and without water limitation in the region of HEIFE (Heihe field experiment).展开更多
目的 化学结构识别是化学和计算机视觉领域的一个重要问题,传统光学化学结构识别技术在复杂化学结构识别任务中易发生信息丢失或误识别的现象,同时又因为化学物质的结构多样性常导致其无法解析,识别效果不佳。而基于深度学习的模型通常...目的 化学结构识别是化学和计算机视觉领域的一个重要问题,传统光学化学结构识别技术在复杂化学结构识别任务中易发生信息丢失或误识别的现象,同时又因为化学物质的结构多样性常导致其无法解析,识别效果不佳。而基于深度学习的模型通常具有网络结构复杂度高、上下文信息易丢失和识别率低的问题。为此,提出一种结合注意力机制和编码器—解码器架构的化学结构识别方法。方法 首先,使用改进的ResNet50(residual network)作为特征提取器抓取表征信息;其次,使用BLSTM(bi-directional long-short term memory)作为行编码器为ResNet50提取的表征信息加强空间信息;最后,使用去填充模块和基于覆盖注意力机制的LSTM(long short-term memory)网络作为模型解码器,对化学结构图像进行解码,将编码结果解码为SMILES(simplified molecular input line entry system)序列。结果 在Indigo、ChemDraw、CLEF(Conference and Labs of the Evaluation Forum)、JPO(Japanese Patent Office)、UOB(University of Birmingham)、USPTO(United States Patent and Trademark Office)、Staker、ACS(American Chemistry Society)、CASIA-CSDB(Institute of Automation of Chinese Academy of Sciences—Chemical Structure Database)和Mini CASIA-CSDB数据集上,所提方法识别准确率分别为71.1%、70.21%、45.8%、30.3%、53.02%、58.21%、43.39%、46.3%、84.42%和85.78%,高于SwimOCSR、Image2Mol和ChemPix模型得分。结论 与其他模型相比,本文方法通过少量训练集能够获得较高的识别准确率。展开更多
文摘It has been 10 years since we published the first report describing use of the ShangRing for circumcision in boys and men. That report, by Peng et al.{ from China, showed that the device was safe and that ShangRing circumcision was quicker than with conventional surgical techniques commonly used. The ShangRing, pictured in Figure 1, isa novel collar clamp circumcision device that was invented by Mu Jian-Zhong Shang in China in the early 2000s to reduce potential surgical complications following male circumcision. Based on its successful use in 2006, Mr. Shang started SNNDA Medical Company to produce and distribute the ShangRing. The device has two parts consisting of an inner ring and an outer ring. The foreskin is sandwiched between the two rings, ensuring hemostasis without the need for suturing, which greatly simplifies the circumcision. The device is typically removed by a clinician 7-10 days later.
文摘BACKGROUND: Living donor liver transplantation is a complex surgical operation. Treatment policies and operative techniques evolved in the last two decades. DATA SOURCES: Our center's experience in living donor liver transplantation was reviewed in conjunction with relevant publications in the literature. RESULTS: The surgical techniques and perioperative surgical therapeutics could be modified towards simplicity. Examples include regular inclusion of the middle hepatic vein without compromising the venous outflow of the donor's remnant left liver. This provides excellent venous outflow, which is crucial for a small-for-size graft. Immunosuppression and hepatitis B suppression are steroid free and hepatitis B immunoglobulin free respectively. CONCLUSION: The most practical way to achieve high graft and recipient survival rates with an acceptably low donor risk is through design of a protocol that simplifies the surgery and postoperative management.
文摘A considerable effort has been made in the literature for quality assurance (QA) and quality checking (QC) of the petrophysical log data for computation of reservoir rock property parameters. Well log data plays an integral role in building a rock physics model for quantitative interpretation (QI) work. A poor-quality rock physics model may lead to significant financial and HSSE implications by drilling wells in undesired locations. Historically, a variety of techniques have been used including histograms and cross plots for reviewing the feasibility of petrophysical logs for QI work. However, no attempt has ever been made to introduce a simplified workflow. This paper serves two-fold. It provides a simplified step by step approach for building a petrophysics/rock physics model. A case study has been presented to compare the synthetic seismogram generated from the simplified workflow with the actual seismic trace at well locations. Secondly, the paper shows how a few key cross plots and rock property parameters provide adequate information to validate petrophysical data, distinguish overburden and reservoir sections, and to help identify fluids and saturation trends within the reservoir sands. In the mentioned case study, the robustness of the simplified rock physics model has helped seismic data to successfully distinguish hydrocarbon bearing reservoir sands from non-reservoir shales.
基金Vicerrectoría de Inves-tigaciones of the UMNG for the financial support of the IMP-ING-3743 Project.
文摘This study presents a hybrid methodology for predicting building collapses within the Intelligent Circular Resilience(ICR)framework.This uses a supervised Machine Learning(ML)approach,earthquake damage re-ports,and the Simplified Resilience Index(SRI),derived from existing earthquake damage models(EDM)-based on fragility and vulnerability functions-used in the probabilistic seismic risk assessment(PSRA).A curated building damage database comprising 89 structures(71 collapsed and 18 non-collapsed)from ten countries affected by major earthquakes(Mw 6.1-8.1,epicentral distances of 3-125 km,and PGA values ranging from 0.14 g to 0.82 g)was developed,including attributes related to exposure:occupancy,main structural material,number of stories,construction year,and hazard:magnitude,epicentral distance,intensity measures(Peak-ground acceleration,PGA,and elastic spectral acceleration).The dataset includes events such as the 2017 Puebla-Morelos earthquake(Mw 7.1,Mexico),the 1999 Kocaeli earthquake(Mw 7.6,Turkey),and the 2011 Christchurch earthquake(Mw 6.1,New Zealand),among others.Likewise,dependent attributes such as time elapsed and SRI(under 120-,180-,and 365-day recovery scenarios)were calculated using 2-EDMs.Eight Random Forest models were trained and tested for collapse and non-collapse classification using combinations of independent and dependent attributes.The results indicate that models incorporating exposure-related varia-bles-such as structural material,number of stories,construction year,and occupancy-alongside the SRI significantly improve collapse classification performance,achieving recall and F1 scores above 95%.Notably,many collapsed buildings exhibited low intensities(PGA≤0.25 g),emphasizing the influence of local site effects-particularly in Mexico City.The findings demonstrate that incorporating SRI enhances the reliability of collapse prediction and supports its use as an interpretable resilience proxy during early ICR stages.This hybrid methodology bridges empirical data,traditional PSRA models,and ML techniques,contributing to more accurate and scalable post-earthquake resilience assessments.
文摘For ordinary tourists, simpler entry and exit procedures and a broader range of duty-free goods in Hainan create a better travel and shopping experience.For China’s earnest endeavor to deepen reform and opening-up, implementation of the special customs operations policy in Hainan represents a significant step forward. For businesses in Malaysia and other ASEAN member states, especially export-oriented small and medium-sized enterprises (SMEs), Hainan serves as a“transit hub” for accessing the Chinese market and even other Asian markets.
文摘Hainan Province in south China is the country’s second-largest island and the largest free trade port by area.It has entered a historic phase in China’s drive to promote high-level institutional opening up.On 18 December 2025,Hainan officially launched island-wide special customs operations,commonly referred to as“customs closure.”From that date,goods entering or leaving the island,except those traded with the Chinese mainland,are subject to simplified customs procedures and potentially reduced or zero tariffs.
基金funded by the National Natural Science Foundation of China(No.52204407)the Natural Science Foundation of Jiangsu Province(No.BK20220595)the China Postdoctoral Science Foundation(No.2022M723689).
文摘This study proposes a multi-scale simplified residual convolutional neural network(MS-SRCNN)for the precise prediction of Mg-Nd binary alloy compositions from scanning electron microscope(SEM)images.A multi-scale data structure is established by spatially aligning and stacking SEM images at different magnifications.The MS-SRCNN significantly reduces computational runtime by over 90%compared to traditional architectures like ResNet50,VGG16,and VGG19,without compromising prediction accuracy.The model demonstrates more excellent predictive performance,achieving a>5%increase in R^(2) compared to single-scale models.Furthermore,the MS-SRCNN exhibits robust composition prediction capability across other Mg-based binary alloys,including Mg-La,Mg-Sn,Mg-Ce,Mg-Sm,Mg-Ag,and Mg-Y,thereby emphasizing its generalization and extrapolation potential.This research establishes a non-destructive,microstructure-informed composition analysis framework,reduces characterization time compared to traditional experiment methods and provides insights into the composition-microstructure relationship in diverse material systems.
基金supported in part by the Frontier Technology R&D Plan of Jiangsu Province(BF2024065)the Shenzhen Science and Technology Program(JCYJ20230807114609019)Postgraduate Research&Practice Innovation Program of Jiangsu Province(KYCX22_0236).
文摘Dear Editor,This letter investigates the optimal transmission scheduling problem in remote state estimation systems over an unknown wireless channel.We propose a partially observable Markov decision Process(POMDP)framework to model the sensor scheduling problem.By truncating and simplifying the POMDP problem,we have established the properties of the optimal solution under the POMDP model,through a fixed-point contraction method,and have shown that the threshold structure of the POMDP solution is not easily attainable.Subsequently,we obtained a suboptimal solution via Qlearning.Numerical simulations are used to demonstrate the efficacy of the proposed Q-learning approach.
基金funded by Portuguese funds through FCT——Funda??o para a Ciência e a Tecnologia/Ministério da Ciência,Tecnologia e Ensino Superior in the framework of the project PTDC/MEDNEU/1677/2021(to JBR)。
文摘Neuroimmunology is emerging as a pivotal field,shedding light on the intricate dialogues between the central nervous system(CNS)and the immune system.This exploration is particularly significant in understanding microglia,the CNS’s innate immune cells,beyond the conventional conflation of“neuroinflammation”and“microglial activation.”This conflation has clouded the true complexity of these processes,potentially stalling scientific progress and the development of new therapies.We challenge the long-standing perspectives that have oversimplified these interactions,advocating for a deeper exploration of the dynamic relationship between neuroinflammation and microglial activation.By dissecting specific molecular pathways,we aim to illuminate their elaborate roles in neuroinflammatory responses,especially in the context of Alzheimer’s disease(AD).Here,neuroinflammation is not merely a passive observer or a direct antagonist but a complex agent in the disease’s progression.This article calls for a significant paradigm shift towards an integrative,multi-omics approach to neuroimmunology.Adopting such a comprehensive framework is crucial for advancing our understanding of neuroinflammatory conditions and paving the way for targeted therapeutic strategies for brain diseases.
文摘Background: Early research describing the concept of intensity-modulated conformal radiotherapy (IMRT) was based on 7 to 9 beams to reach an adequate level of modulation. Nevertheless, its implementation demands significant resources. Our objective was to compare the compliance and homogeneity of target dose distribution between simplified IMRT and 3D-CRT in patients with cervical cancer and to assess the clinical value of simplified IMRT. Materials and Methods: From 2016 to 2017, 17 patients with stage IIB - IIIC cervical cancer were treated with external beam radiotherapy using simplified IMRT (12 cases) or 3DCRT (05 cases) and brachytherapy. Prior to radiotherapy, CT scans were conducted to delineate the target volume. The clinical target volume (CTV) included the uterus, primary tumor, supravaginal portion of the cervix, paracervical tissue, common iliac, internal and external iliac lymph nodes, obturator, and pre sacral lymph nodes, and the surrounding tissues. If the lower vagina was involved, the target volume included the whole vagina. The planning target volume (PTV) included the CTV with 1 cm anteriorly and 0.5 cm in all other directions. The PTV received 95% of 45 Gy (1.8 Gy/25 fraction). Dose-volume histogram, conformity index, homogeneity index, and treatment time per fraction were compared. Results: The 3D-CRT plan was more homogeneous than the simplified IMRT plan, while the simplified IMRT plan was more conformal. The volume of small bowels that received high-dose radiation significantly increased with simplified IMRT compared to 3D-CRT. Treatment time per fraction was 6 and 13 minutes for 3D-CRT and simplified IMRT, respectively. Conclusion: The simplified IMRT treatment plan is technically and dosimetrically acceptable and an alternative to the classic 3D-CRT plan for cervical cancer. It provides better dose distribution than 3D-CRT. However, the 3D-CRT treatment plan significantly reduced the overall treatment time per fraction.
基金supported by the Natural Science Foundation of Shandong Province(ZR2021QH096,ZR2020MH024)the National Natural Science Foundation of China(82300354,882070345)+2 种基金the Academic Promotion Program of Shandong First Medical University(2019QL012)the Shandong Taishan Scholarship(to SHY)fund of Tianjin Zhongxin Pharmaceutical Group Co.,Ltd。
文摘Acute myocardial infarction(AMI)is a leading cause of death and disability worldwide and consists of two distinct cardiac pathologies:ST-elevation myocardial infarction(STEMI)and non-ST-elevation myocardial infarction(NSTEMI).[1]In China,AMI is widely recognized as a predominant cause of mortality in both urban and rural demographics,based on the 2022 Report on Cardiovascular Health and Diseases in China;moreover,its mortality rate has been reported to be rising,with a recurrence rate of 2.5%within one year.
基金supported by a fellowship from Design Department of Taisei Corporation。
文摘Many countries throughout the world have experienced large earthquakes,which cause building damage or collapse.After such earthquakes,structures must be inspected rapidly to judge whether they are safe to reoccupy.To facilitate the inspection process,the authors previously developed a rapid building safety assessment system using sparse acceleration measurements for steel framed buildings.The proposed system modeled nonlinearity in the measurement data using a calibrated simplified lumped-mass model and convolutional neural networks(CNNs),based on which the buildinglevel damage index was estimated rapidly after earthquakes.The proposed system was validated for a nonlinear 3D numerical model of a five-story steel building,and later for a large-scale specimen of an 18-story building in Japan tested on the E-Defense shaking table.However,the applicability of the safety assessment system for reinforced concrete(RC)structures with complex hysteretic material nonlinearity has yet to be explored;the previous approach based on a simplified lumpedmass model with a Bouc-Wen hysteretic model does not accurately represent the inherent nonlinear behavior and resulting damage states of RC structures.This study extends the rapid building safety assessment system to low-rise RC moment resisting frame structures representing typical residential apartments in Japan.First,a safety classification for RC structures based on a damage index consistent with the current state of practice is defined.Then,a 3D nonlinear numerical model of a two-story moment frame structure is created.A simplified lumped-mass nonlinear model is developed and calibrated using the 3D model,incorporating the Takeda degradation model for the RC material nonlinearity.This model is used to simulate the seismic response and associated damage sensitive features(DSF)for random ground motion.The resulting database of responses is used to train a convolutional neural network(CNN)that performs rapid safety assessment.The developed system is validated using the 3D nonlinear analysis model subjected to historical earthquakes.The results indicate the applicability of the proposed system for RC structures following seismic events.
文摘1 Active Disturbance Rejection Control(ADRC):a brief survey Since its inception,Active Disturbance Rejection Control(ADRC)has re-centered feedback controller design around two fundamental ideas—along with a consequential design simplification:real-time estimation and online cancellation of the“total disturbance”conceived as the lumped effect of unknown internal dynamics and external inputs.The simplified design then proceeds in a customary fashion for the ideally remaining system model,which is devoid of the total disturbance.
文摘According to the severe drop in the planting area of cotton in recent years, cotton variety Yinshan 8 was intercropped with onions and watermelon by using efficient and simplified interplanting cultivation techniques, such as large-scale and intensive planting, mechanized intertillage, integrated management of water and fertilizer, etc. The application of the techniques could reduce production cost, improve the comprehensive benefit of cotton planting, increase farmers＇ income, and promote the sustainable development of rural economy.
文摘The authors constructed a simplified model of spring wheat (Triticum aestivum L.) carbon assimilation and dry matter accumulation (DMA) process which consisted of two independent variables, day length (L) and total daily radiation (TDR). Leaf water potential (Ψ) was incorporated into the simplified growth model based on the assumption that both light use efficiency (α) and CO 2 conductance of assimilation (g c) were depressed by water limitation. Finally,Ψ was estimated from a regression equation in which the independent variables were relative soil water content in the upper 80 cm (θ R,80 ), ambient temperature (T a), vapor pressure deficit (VPD), the cumulative leaf water potential below thresholds of -1.5 MPa (Ψ c,1.5 ). Some applications in research program of field experiment of atmosphere_land surface processes in Heihe River region were tested. The simulated data agreed well with the data observed at Linze oasis in 1989 for various levels of water supply and at Zhangye oasis in 1992 in the field. The analysis and simulation using the model demonstrated that the simplified growth model could describe very well the DMA process of spring wheat with and without water limitation in the region of HEIFE (Heihe field experiment).
文摘目的 化学结构识别是化学和计算机视觉领域的一个重要问题,传统光学化学结构识别技术在复杂化学结构识别任务中易发生信息丢失或误识别的现象,同时又因为化学物质的结构多样性常导致其无法解析,识别效果不佳。而基于深度学习的模型通常具有网络结构复杂度高、上下文信息易丢失和识别率低的问题。为此,提出一种结合注意力机制和编码器—解码器架构的化学结构识别方法。方法 首先,使用改进的ResNet50(residual network)作为特征提取器抓取表征信息;其次,使用BLSTM(bi-directional long-short term memory)作为行编码器为ResNet50提取的表征信息加强空间信息;最后,使用去填充模块和基于覆盖注意力机制的LSTM(long short-term memory)网络作为模型解码器,对化学结构图像进行解码,将编码结果解码为SMILES(simplified molecular input line entry system)序列。结果 在Indigo、ChemDraw、CLEF(Conference and Labs of the Evaluation Forum)、JPO(Japanese Patent Office)、UOB(University of Birmingham)、USPTO(United States Patent and Trademark Office)、Staker、ACS(American Chemistry Society)、CASIA-CSDB(Institute of Automation of Chinese Academy of Sciences—Chemical Structure Database)和Mini CASIA-CSDB数据集上,所提方法识别准确率分别为71.1%、70.21%、45.8%、30.3%、53.02%、58.21%、43.39%、46.3%、84.42%和85.78%,高于SwimOCSR、Image2Mol和ChemPix模型得分。结论 与其他模型相比,本文方法通过少量训练集能够获得较高的识别准确率。
