Wu et al recently applied multi-region 16S rRNA sequencing to characterize the gastric cancer microbiome,demonstrating improved taxonomic resolution and detection sensitivity over conventional single-region approaches...Wu et al recently applied multi-region 16S rRNA sequencing to characterize the gastric cancer microbiome,demonstrating improved taxonomic resolution and detection sensitivity over conventional single-region approaches.While the study represents a valuable methodological step forward,it remains limited by singlecenter design,lack of quantitative calibration,and insufficient control for contamination and inter-laboratory variability.This editorial critically appraises these methodological gaps and emphasizes that future efforts must focus on harmonized,consensus-driven workflows to ensure reproducibility and clinical reliability.The translational potential of multi-region 16S lies in moving from descriptive microbial profiling to actionable clinical integration,particularly for recurrence prediction,treatment-response monitoring,and perioperative complication risk assessment.By addressing these methodological,economic,and ethical challenges,the field can advance toward evidence-based and clinically deployable microbiome-guided precision oncology.展开更多
BACKGROUND The gastric microbiome is closely associated with gastric cancer,and single-region 16S rRNA sequencing has limitations in analyzing its characteristics,necessitating the search for a better sequencing metho...BACKGROUND The gastric microbiome is closely associated with gastric cancer,and single-region 16S rRNA sequencing has limitations in analyzing its characteristics,necessitating the search for a better sequencing method.AIM To evaluate the effectiveness of multi-region 16S rRNA gene sequencing in studying the microbiome of gastric cancer tissues.METHODS Patients with gastric cancer(n=118)who underwent surgery at Liyang People's Hospital from January 2022 to December 2024 were enrolled.Fifty-nine paraffinembedded and 59 fresh tissue samples were obtained.The ZymoBIOMICSTM microbial community standard and Escherichia coli ATCC 25922 were used as positive controls.Multi-region and single-region 16S rRNA gene sequencing were performed.Species identification,detection rates at varying microbial abundances,operational taxonomic unit(OTU)counts,and alpha diversity indices in gastric cancer tissues were compared between the two methods.RESULTS Multi-region 16S rRNA sequencing identified more species(eight species and eight genera)in the positive controls compared with single-region sequencing(one species and six genera).Detection rates at concentrations of 103,102,and 10 CFU/mg were significantly higher using multi-region sequencing(P<0.05).Multi-region sequencing also revealed significantly higher OTU counts and alpha diversity indices(Shannon,Simpson,and Chao1)in gastric cancer tissues(P<0.05).CONCLUSION Compared with single-region sequencing,multi-region 16S rRNA gene sequencing demonstrates superior species resolution and detection sensitivity,providing a more comprehensive profile of microbial diversity in gastric cancer tissues.展开更多
In this letter,a multiphase level set approach unifying region and boundary-based infor-mation for multi-region segmentation of Synthetic Aperture Radar(SAR)image is presented.Anenergy functional that is applicable fo...In this letter,a multiphase level set approach unifying region and boundary-based infor-mation for multi-region segmentation of Synthetic Aperture Radar(SAR)image is presented.Anenergy functional that is applicable for SAR image segmentation is defined.It consists of two termsdescribing the local statistic characteristics and the gradient characteristics of SAR image respectively.A multiphase level set model that explicitly describes the different regions in one image is proposed.The purpose of such a multiphase model is not only to simplify the way of denoting multi-region by levelset but also to guarantee the accuracy of segmentation.According to the presented multiphase model,the curve evolution equations with respect to edge curves are deduced.The multi-region segmentationis implemented by the numeric solution of the partial differential equations.The performance of theapproach is verified by both simulation and real SAR images.The experiments show that the proposedalgorithm reduces the speckle effect on segmentation and increases the boundary alignment accuracy,thus correctly divides the multi-region SAR image into different homogenous regions.展开更多
A new SOI power device with multi-region high-concentration fixed charge（MHFC） is reported. The MHFC is formed through implanting Cs or I ion into the buried oxide layer（BOX）, by which the high-concentration dynam...A new SOI power device with multi-region high-concentration fixed charge（MHFC） is reported. The MHFC is formed through implanting Cs or I ion into the buried oxide layer（BOX）, by which the high-concentration dynamic electrons and holes are induced at the top and bottom interfaces of BOX. The inversion holes can enhance the vertical electric field and raise the breakdown voltage since the drain bias is mainly generated from the BOX. A model of breakdown voltage is developed, from which the optimal spacing has also been obtained. The numerical results indicate that the breakdown voltage of device proposed is increased by 287% in comparison to that of conventional LDMOS.展开更多
Global warming has motivated the world’s majorcountries to actively develop technologies and make policies topromote carbon emission reduction. Focusing on interconnectedmulti-regional power systems, this paper propo...Global warming has motivated the world’s majorcountries to actively develop technologies and make policies topromote carbon emission reduction. Focusing on interconnectedmulti-regional power systems, this paper proposes a coordinatedplanning model for interconnected power systems consideringenergy storage system planning and transmission expansion. Amarket-based carbon emission quota trading market that helpsreduce carbon emissions is built and integrated into the coordinated planning model, where entities can purchase extra or sellsurplus carbon emission quotas. Its effects on promoting carbonemission reduction are analyzed. Considering the limitations oninformation exchange between interconnected regional powersystems, the proposed model is decoupled and solved with theanalytical target cascading algorithm. A modified two-region 48-bus system is used to verify the effectiveness of the proposedmodel and solving method.展开更多
【目的】为保护并优化高度城镇化地区的碳汇空间,有必要系统研究其时空演变特征及规律。【方法】本研究聚焦苏南地区“城镇尺度”的碳汇空间,在研究其时空演变特征的基础上,结合斑块生成土地利用变化模拟(patch-generating land use sim...【目的】为保护并优化高度城镇化地区的碳汇空间,有必要系统研究其时空演变特征及规律。【方法】本研究聚焦苏南地区“城镇尺度”的碳汇空间,在研究其时空演变特征的基础上,结合斑块生成土地利用变化模拟(patch-generating land use simulation,PLUS)模型和聚类分析法研判不同城镇综合响应状态,并提出差异化的碳汇空间管控策略。【结果】1)2000—2020年苏南地区碳汇空间面积大幅减少,减少区域高度集中于高价值碳汇空间。碳汇空间格局在城镇尺度上未因城镇化而全面瓦解,表现出较强的稳定性。2)通过对自然增长情景、碳汇保护情景、碳汇强化情景3种情景的模拟,发现加大碳汇空间保护力度能够实现高质量碳汇空间扩张,但需要警惕生态功能单一化风险,避免盲目追求“高碳汇系数”。3)在3种模拟情景下,大部分城镇碳汇空间结构较稳定,建议通过存量挖潜与功能置换等方式优化碳汇空间;而部分敏感型城镇则呈现差异化演变路径,需根据其具体风险类型,实施更具针对性的管控策略。【结论】快速城镇化地区碳汇空间面积虽然呈现缩减趋势,但在城镇尺度表现出稳定性与敏感性共存的特征。这一特性可通过多情景模拟研判,从而为制定差异化的城镇碳汇空间管控策略提供科学依据。展开更多
With ever increasing water demands and the continuous intensification of water scarcity arising from China＇s industrialization, the country is struggling to harmonize its industrial development and water supply. This...With ever increasing water demands and the continuous intensification of water scarcity arising from China＇s industrialization, the country is struggling to harmonize its industrial development and water supply. This paper presents a systems analysis of water with- drawals by Chinese industry and investigates demand- driven industrial water uses embodied in final demand and interregional trade based on a multi-regional input-output model. In 2007, the Electric Power, Steam, and Hot Water Production and Supply sector ranks first in direct industrial water withdrawal （DWW）, and Construction has the largest embodied industrial water use （EWU）. Investment, consumption, and exports contribute to 34.6%, 33.3%, and 30.6% of the national total EWU, respectively. Specifically, 58.0%, 51.1%, 48.6%, 43.3%, and 37.5% of the regional EWUs respectively in Guangdong, Shanghai, Zhejiang, Jiangsu, and Fujian are attributed to international exports. The total interregional import/export of embodied water is equivalent to about 40% of the national total DWW, of which 55.5% is associated with the DWWs of Electric Power, Steam, and Hot Water Production and Supply. Jiangsu is the biggest interregional exporter and deficit receiver of embodied water, in contrast to Guangdong as the biggest interregional importer and surplus receiver. Without implementing effective water- saving measures and adjusting industrial structures, the regional imbalance between water availability and water demand tends to intensify considering the water impact of domestic trade of industrial products. Steps taken to improve water use efficiency in production, and to enhance embodied water saving in consumption are both of great significance for supporting China＇s water policies.展开更多
China is the largest CH4 emitter in the world. Given the importance of CH4 in greenhouse gas emission inventories, the characteristics ofChina＇s CH4 emissions at different scales deserve to be fully understood. Prese...China is the largest CH4 emitter in the world. Given the importance of CH4 in greenhouse gas emission inventories, the characteristics ofChina＇s CH4 emissions at different scales deserve to be fully understood. Presented in this paper is an interprovincial input output embodi- ment analysis of China＇s regional CH4 emissions in 2007, based on the most recently available multi-regional input- output table, and relevant CH4 emissions data. The results show that the eastern, central and western areas contribute to 48.2%, 28.6%, and 23.3% of the national total embodied emissions, respectively. Guangdong has the highest level of embodied CH4 emissions among all of the 30 regions. The Agriculture sector produces the most embodied CH4 emissions in final demand, followed by the Construction, Food Production and Tobacco Processing, and Other Service Activities sectors. Significant net transfers of embodied CH4 emission flows are identified from the central and western areas to the eastern area via interregional trade. Shanxi is the largest interregional exporter of embodied CH4 emissions. In contrast, Guangdong is the largest interregional importer. Energy activities, agricultural activities, and waste management comprise 65.6%, 30.7%, and 3.7% of the total embodied CH4 emissions in interregional trade, respectively. By using consumption-based accounting principles, the emis- sion magnitudes, per capita emissions, and emission intensities of most eastern regions increase remarkably, while those of some central and western regions decrease largely. To achieve regional CH4 emission mitigation, comprehensive mitigation measures should be designed under consideration of regional transfer of emission responsibility.展开更多
First,we devise in this paper,a multi-regions discrete-time model which describes the spatial-temporal spread of an epidemic which starts from one region and enters to regions which are connected with their neighbors ...First,we devise in this paper,a multi-regions discrete-time model which describes the spatial-temporal spread of an epidemic which starts from one region and enters to regions which are connected with their neighbors by any kind of anthropological movement.We suppose homogeneous Susceptible-Infected-Removed(SIR)populations,and we consider in our simulations,a grid of colored cells,which represents the whole domain affected by the epidemic while each cell can represent a sub-domain or region.Second,in order to minimize the number of infected individuals in one region,we propose an optimal control approach based on a travel-blocking vicinity strategy which aims to control only one cell by restricting movements of infected people coming from all neighboring cells.Thus,we show the influence of the optimal control approach on the controlled cell.We should also note that the cellular modeling approach we propose here,can also describes infection dynamics of regions which are not necessarily attached one to an other,even if no empty space can be viewed between cells.The theoretical method we follow for the characterization of the travel-locking optimal controls,is based on a discrete version of Pontryagin's maximum principle while the numerical approach applied to the multi-points boundary value problems we obtain here,is based on discrete progressive-regressive iterative schemes.We illustrate our modeling and control approaches by giving an example of 100 regions.展开更多
This study combines multi-regional inputoutput(MRIO)model with linear programming(LP)model to explore economic structure adjustment strategies for the reduction of carbon dioxide(CO_(2))emissions.A particular feature ...This study combines multi-regional inputoutput(MRIO)model with linear programming(LP)model to explore economic structure adjustment strategies for the reduction of carbon dioxide(CO_(2))emissions.A particular feature of this study is the identification of the optimal regulation sequence of final products in various regions to reduce CO_(2)emissions with the minimum loss in gross domestic product(GDP).By using China's MRIO tables 2017 with 28 regions and 42 economic sectors,results show that reduction in final demand leads to simultaneous reductions in GDP and CO_(2)emissions.Nevertheless,certain demand side regulation strategy can be adopted to lower CO_(2)emissions at the smallest loss of economic growth.Several key final products,such as metallurgy,nonmetal,metal,and chemical products,should first be regulated to reduce CO_(2)emissions at the minimum loss in GDP.Most of these key products concentrate in the coastal developed regions in China.The proposed MRIO-LP model considers the inter-relationship among various sectors and regions,and can aid policy makers in designing effective policy for industrial structure adjustment at the regional level to achieve the national environmental and economic targets.展开更多
文摘Wu et al recently applied multi-region 16S rRNA sequencing to characterize the gastric cancer microbiome,demonstrating improved taxonomic resolution and detection sensitivity over conventional single-region approaches.While the study represents a valuable methodological step forward,it remains limited by singlecenter design,lack of quantitative calibration,and insufficient control for contamination and inter-laboratory variability.This editorial critically appraises these methodological gaps and emphasizes that future efforts must focus on harmonized,consensus-driven workflows to ensure reproducibility and clinical reliability.The translational potential of multi-region 16S lies in moving from descriptive microbial profiling to actionable clinical integration,particularly for recurrence prediction,treatment-response monitoring,and perioperative complication risk assessment.By addressing these methodological,economic,and ethical challenges,the field can advance toward evidence-based and clinically deployable microbiome-guided precision oncology.
基金Supported by Liyang People's Hospital Technology Project,No.2021YJKT0013。
文摘BACKGROUND The gastric microbiome is closely associated with gastric cancer,and single-region 16S rRNA sequencing has limitations in analyzing its characteristics,necessitating the search for a better sequencing method.AIM To evaluate the effectiveness of multi-region 16S rRNA gene sequencing in studying the microbiome of gastric cancer tissues.METHODS Patients with gastric cancer(n=118)who underwent surgery at Liyang People's Hospital from January 2022 to December 2024 were enrolled.Fifty-nine paraffinembedded and 59 fresh tissue samples were obtained.The ZymoBIOMICSTM microbial community standard and Escherichia coli ATCC 25922 were used as positive controls.Multi-region and single-region 16S rRNA gene sequencing were performed.Species identification,detection rates at varying microbial abundances,operational taxonomic unit(OTU)counts,and alpha diversity indices in gastric cancer tissues were compared between the two methods.RESULTS Multi-region 16S rRNA sequencing identified more species(eight species and eight genera)in the positive controls compared with single-region sequencing(one species and six genera).Detection rates at concentrations of 103,102,and 10 CFU/mg were significantly higher using multi-region sequencing(P<0.05).Multi-region sequencing also revealed significantly higher OTU counts and alpha diversity indices(Shannon,Simpson,and Chao1)in gastric cancer tissues(P<0.05).CONCLUSION Compared with single-region sequencing,multi-region 16S rRNA gene sequencing demonstrates superior species resolution and detection sensitivity,providing a more comprehensive profile of microbial diversity in gastric cancer tissues.
文摘In this letter,a multiphase level set approach unifying region and boundary-based infor-mation for multi-region segmentation of Synthetic Aperture Radar(SAR)image is presented.Anenergy functional that is applicable for SAR image segmentation is defined.It consists of two termsdescribing the local statistic characteristics and the gradient characteristics of SAR image respectively.A multiphase level set model that explicitly describes the different regions in one image is proposed.The purpose of such a multiphase model is not only to simplify the way of denoting multi-region by levelset but also to guarantee the accuracy of segmentation.According to the presented multiphase model,the curve evolution equations with respect to edge curves are deduced.The multi-region segmentationis implemented by the numeric solution of the partial differential equations.The performance of theapproach is verified by both simulation and real SAR images.The experiments show that the proposedalgorithm reduces the speckle effect on segmentation and increases the boundary alignment accuracy,thus correctly divides the multi-region SAR image into different homogenous regions.
基金supported by the State Key Laboratory of Electronic Thin Films and Integrated Devices of China(Grant No.KFJJ201205)the Department of Education Project of Guangxi Province,China(Grant No.201202ZD041)+1 种基金the Postdoctoral Science Foundation Project of China(Grant Nos.2012M521127 and2013T60566)the National Natural Science Foundation of China(Grant Nos.61361011,61274077,and 61464003)
文摘A new SOI power device with multi-region high-concentration fixed charge（MHFC） is reported. The MHFC is formed through implanting Cs or I ion into the buried oxide layer（BOX）, by which the high-concentration dynamic electrons and holes are induced at the top and bottom interfaces of BOX. The inversion holes can enhance the vertical electric field and raise the breakdown voltage since the drain bias is mainly generated from the BOX. A model of breakdown voltage is developed, from which the optimal spacing has also been obtained. The numerical results indicate that the breakdown voltage of device proposed is increased by 287% in comparison to that of conventional LDMOS.
基金supported by the National Nature Science Foundation of China under Grants U2166211 and 52207085.
文摘Global warming has motivated the world’s majorcountries to actively develop technologies and make policies topromote carbon emission reduction. Focusing on interconnectedmulti-regional power systems, this paper proposes a coordinatedplanning model for interconnected power systems consideringenergy storage system planning and transmission expansion. Amarket-based carbon emission quota trading market that helpsreduce carbon emissions is built and integrated into the coordinated planning model, where entities can purchase extra or sellsurplus carbon emission quotas. Its effects on promoting carbonemission reduction are analyzed. Considering the limitations oninformation exchange between interconnected regional powersystems, the proposed model is decoupled and solved with theanalytical target cascading algorithm. A modified two-region 48-bus system is used to verify the effectiveness of the proposedmodel and solving method.
文摘【目的】为保护并优化高度城镇化地区的碳汇空间,有必要系统研究其时空演变特征及规律。【方法】本研究聚焦苏南地区“城镇尺度”的碳汇空间,在研究其时空演变特征的基础上,结合斑块生成土地利用变化模拟(patch-generating land use simulation,PLUS)模型和聚类分析法研判不同城镇综合响应状态,并提出差异化的碳汇空间管控策略。【结果】1)2000—2020年苏南地区碳汇空间面积大幅减少,减少区域高度集中于高价值碳汇空间。碳汇空间格局在城镇尺度上未因城镇化而全面瓦解,表现出较强的稳定性。2)通过对自然增长情景、碳汇保护情景、碳汇强化情景3种情景的模拟,发现加大碳汇空间保护力度能够实现高质量碳汇空间扩张,但需要警惕生态功能单一化风险,避免盲目追求“高碳汇系数”。3)在3种模拟情景下,大部分城镇碳汇空间结构较稳定,建议通过存量挖潜与功能置换等方式优化碳汇空间;而部分敏感型城镇则呈现差异化演变路径,需根据其具体风险类型,实施更具针对性的管控策略。【结论】快速城镇化地区碳汇空间面积虽然呈现缩减趋势,但在城镇尺度表现出稳定性与敏感性共存的特征。这一特性可通过多情景模拟研判,从而为制定差异化的城镇碳汇空间管控策略提供科学依据。
基金This study has been supported by the National Natural Science Foundation of China （Grant No. 71403270）, the Foundation of State Key Laboratory of Coal Resources and Safe Mining, China University of Mining ＆ Technology （Grant No. SKLCRSM14KFA03）, and the Specialized Research Fund for the Doctoral Program of Higher Education of China （Grant No. 20120023120002）.
文摘With ever increasing water demands and the continuous intensification of water scarcity arising from China＇s industrialization, the country is struggling to harmonize its industrial development and water supply. This paper presents a systems analysis of water with- drawals by Chinese industry and investigates demand- driven industrial water uses embodied in final demand and interregional trade based on a multi-regional input-output model. In 2007, the Electric Power, Steam, and Hot Water Production and Supply sector ranks first in direct industrial water withdrawal （DWW）, and Construction has the largest embodied industrial water use （EWU）. Investment, consumption, and exports contribute to 34.6%, 33.3%, and 30.6% of the national total EWU, respectively. Specifically, 58.0%, 51.1%, 48.6%, 43.3%, and 37.5% of the regional EWUs respectively in Guangdong, Shanghai, Zhejiang, Jiangsu, and Fujian are attributed to international exports. The total interregional import/export of embodied water is equivalent to about 40% of the national total DWW, of which 55.5% is associated with the DWWs of Electric Power, Steam, and Hot Water Production and Supply. Jiangsu is the biggest interregional exporter and deficit receiver of embodied water, in contrast to Guangdong as the biggest interregional importer and surplus receiver. Without implementing effective water- saving measures and adjusting industrial structures, the regional imbalance between water availability and water demand tends to intensify considering the water impact of domestic trade of industrial products. Steps taken to improve water use efficiency in production, and to enhance embodied water saving in consumption are both of great significance for supporting China＇s water policies.
文摘China is the largest CH4 emitter in the world. Given the importance of CH4 in greenhouse gas emission inventories, the characteristics ofChina＇s CH4 emissions at different scales deserve to be fully understood. Presented in this paper is an interprovincial input output embodi- ment analysis of China＇s regional CH4 emissions in 2007, based on the most recently available multi-regional input- output table, and relevant CH4 emissions data. The results show that the eastern, central and western areas contribute to 48.2%, 28.6%, and 23.3% of the national total embodied emissions, respectively. Guangdong has the highest level of embodied CH4 emissions among all of the 30 regions. The Agriculture sector produces the most embodied CH4 emissions in final demand, followed by the Construction, Food Production and Tobacco Processing, and Other Service Activities sectors. Significant net transfers of embodied CH4 emission flows are identified from the central and western areas to the eastern area via interregional trade. Shanxi is the largest interregional exporter of embodied CH4 emissions. In contrast, Guangdong is the largest interregional importer. Energy activities, agricultural activities, and waste management comprise 65.6%, 30.7%, and 3.7% of the total embodied CH4 emissions in interregional trade, respectively. By using consumption-based accounting principles, the emis- sion magnitudes, per capita emissions, and emission intensities of most eastern regions increase remarkably, while those of some central and western regions decrease largely. To achieve regional CH4 emission mitigation, comprehensive mitigation measures should be designed under consideration of regional transfer of emission responsibility.
基金This work is supported by the Systems Theory Network(Reseau Theorie des Systemes),and Hassan II Academy of Sciences and Technologies-Morocco.
文摘First,we devise in this paper,a multi-regions discrete-time model which describes the spatial-temporal spread of an epidemic which starts from one region and enters to regions which are connected with their neighbors by any kind of anthropological movement.We suppose homogeneous Susceptible-Infected-Removed(SIR)populations,and we consider in our simulations,a grid of colored cells,which represents the whole domain affected by the epidemic while each cell can represent a sub-domain or region.Second,in order to minimize the number of infected individuals in one region,we propose an optimal control approach based on a travel-blocking vicinity strategy which aims to control only one cell by restricting movements of infected people coming from all neighboring cells.Thus,we show the influence of the optimal control approach on the controlled cell.We should also note that the cellular modeling approach we propose here,can also describes infection dynamics of regions which are not necessarily attached one to an other,even if no empty space can be viewed between cells.The theoretical method we follow for the characterization of the travel-locking optimal controls,is based on a discrete version of Pontryagin's maximum principle while the numerical approach applied to the multi-points boundary value problems we obtain here,is based on discrete progressive-regressive iterative schemes.We illustrate our modeling and control approaches by giving an example of 100 regions.
基金This work is supported by the National Research Foundation,Prime Ministers Office,Singapore under its Campus for Research Excellence and Technological Enterprise(CREATE)programme,and by the Energy and Environmental Sustainability for Megacities(E2S2)Phase II program of the National Research Foundation,Prime Ministers Office,Singapore under its CREATE programme。
文摘This study combines multi-regional inputoutput(MRIO)model with linear programming(LP)model to explore economic structure adjustment strategies for the reduction of carbon dioxide(CO_(2))emissions.A particular feature of this study is the identification of the optimal regulation sequence of final products in various regions to reduce CO_(2)emissions with the minimum loss in gross domestic product(GDP).By using China's MRIO tables 2017 with 28 regions and 42 economic sectors,results show that reduction in final demand leads to simultaneous reductions in GDP and CO_(2)emissions.Nevertheless,certain demand side regulation strategy can be adopted to lower CO_(2)emissions at the smallest loss of economic growth.Several key final products,such as metallurgy,nonmetal,metal,and chemical products,should first be regulated to reduce CO_(2)emissions at the minimum loss in GDP.Most of these key products concentrate in the coastal developed regions in China.The proposed MRIO-LP model considers the inter-relationship among various sectors and regions,and can aid policy makers in designing effective policy for industrial structure adjustment at the regional level to achieve the national environmental and economic targets.
