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
针对可再生能源高比例渗透下多区域综合能源互联系统(Multi-region integrated energy interconnection system,MRIEIS)所面临的消纳与经济性挑战,构建了一个包含电、氢、热、冷多能流的多时间尺度优化调度模型。该模型以系统日总运行...针对可再生能源高比例渗透下多区域综合能源互联系统(Multi-region integrated energy interconnection system,MRIEIS)所面临的消纳与经济性挑战,构建了一个包含电、氢、热、冷多能流的多时间尺度优化调度模型。该模型以系统日总运行成本最低为目标,建立动态多能流枢纽深度集成了电转氢(Power to hydrogen,P2H)、储氢罐、氢气管网以及燃气轮机(GT)掺氢等动态调度关键技术。通过日前、日内、实时三阶段滚动优化对系统进行精细化调度。算例分析基于一个包含居民、工业和混合型区域的典型场景,结果表明,该模型能够有效实现系统经济性与环保性的统一,总运行成本控制在56.48万元,同时系统总可再生能源利用率高达98.53%。氢能作为灵活的能量载体,其时空价值得到了充分发挥。掺氢策略有效刺激了氢能消耗,形成了“制-储-输-用”的闭环,为构建以新能源为主体的新型电力系统提供了可行的技术路径和调度策略参考。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
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.
文摘针对可再生能源高比例渗透下多区域综合能源互联系统(Multi-region integrated energy interconnection system,MRIEIS)所面临的消纳与经济性挑战,构建了一个包含电、氢、热、冷多能流的多时间尺度优化调度模型。该模型以系统日总运行成本最低为目标,建立动态多能流枢纽深度集成了电转氢(Power to hydrogen,P2H)、储氢罐、氢气管网以及燃气轮机(GT)掺氢等动态调度关键技术。通过日前、日内、实时三阶段滚动优化对系统进行精细化调度。算例分析基于一个包含居民、工业和混合型区域的典型场景,结果表明,该模型能够有效实现系统经济性与环保性的统一,总运行成本控制在56.48万元,同时系统总可再生能源利用率高达98.53%。氢能作为灵活的能量载体,其时空价值得到了充分发挥。掺氢策略有效刺激了氢能消耗,形成了“制-储-输-用”的闭环,为构建以新能源为主体的新型电力系统提供了可行的技术路径和调度策略参考。
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。
