Instant Digital Express iDEAL-CIO The “Magic Lamp” for Cloud Intelligence Outlet, which has been recommended, combines innovations to satisfy modern users’ needs and efficiently sift through the ever-expanding amou...Instant Digital Express iDEAL-CIO The “Magic Lamp” for Cloud Intelligence Outlet, which has been recommended, combines innovations to satisfy modern users’ needs and efficiently sift through the ever-expanding amount of intelligent content stored in the cloud. One such innovation introduces a ground-breaking concept to remove superfluous and outdated sequential search patterns that overwhelm the user and computer in order to better serve the user in an eclectic & elastic and multidimensional approach to finding, grouping, assimilation, organizing, and delivering archival content. The cloud intelligence outlet (CIO) is presented in this article as the perfect magic lamp option for quick digital express advocacy. The grouping, indexing, folding, and targeting (GIFT) method of multidimensional online synthetic/analytical intelligent content (MOSAIC) for adaptive intelligence is the fundamental intelligent aggregation and automated process of the Magic Lamp. Three perspectives above this new ideal framework are available to observe: The Magic Lamp proposes contextual and multiple analytical tracks to improve cloud intelligence services conceptually. Technically speaking, MOSAIC combines domain-specific services for a wide range of international users, and through the usage of Cloud Intelligence Outlet, GIFT operationally activates grouping, indexing, folding, and targeting to promote decent experience and in-depth research on target for users’ wants. Because of this, iDEAL-CIO works in tandem with cloud extraction, digital transformation, and archival loading to provide improved service through the readily accessible cloud intelligence outlet.展开更多
目的 采用定量非对称回波的最小二乘估算法迭代水脂分离序列(iterative decomposition of water and fat with echo asymmetry and least-squares estimation quantitation sequence, IDEAL-IQ)联合计算机显微断层扫描(micro computed t...目的 采用定量非对称回波的最小二乘估算法迭代水脂分离序列(iterative decomposition of water and fat with echo asymmetry and least-squares estimation quantitation sequence, IDEAL-IQ)联合计算机显微断层扫描(micro computed tomography, Micro-CT)技术评估兔1型糖尿病腰椎骨髓脂肪含量和骨小梁微结构相关性。材料与方法 将16只雄性日本大耳白兔随机分为糖尿病组(n=8)和对照组(n=8),糖尿病组采用四氧嘧啶造模。在造模成功后第0、4、8、12、16周通过IDEAL-IQ定量评估兔腰椎骨髓脂肪含量。在第16周采用Micro-CT及组织病理学检查对兔腰椎骨小梁微结构进行定量评估。不同时间点腰椎IDEAL-IQ脂肪分数差异比较采用重复测量方差分析;同一时间点组间脂肪分数、Micro-CT骨小梁形态计量学参数、组织病理学参数差异比较采用独立样t检验或Mann-Whitney U检验;采用Pearson相关系数评估骨髓脂肪分数与骨小梁形态计量学参数、组织病理学参数相关性。结果 糖尿病组骨髓脂肪含量随时间变化呈上升趋势,且差异存在统计学意义(P<0.05),而对照组各时间点脂肪含量差异无统计学意义(P>0.05);糖尿病组与对照组腰椎骨髓脂肪分数在第16周差异有统计学意义(59.987±4.859 vs. 51.015±8.469,P<0.05);第16周糖尿病组骨体积、总表面积、骨表面积、骨表面积总体积比、骨小梁数量均低于对照组,而骨小梁分离度高于对照组,差异有统计学意义(P<0.05);组织病理学结果显示,与对照组相比,第16周糖尿病兔腰椎骨髓脂肪细胞数量(32.875±11.051 vs. 71.667±13.125, P<0.01)增加,而骨小梁数量(11.375±1.506vs.4.333±1.211, P<0.01)与骨小梁面积(0.927±0.071vs.0.312±0.100, P<0.01)明显减少;IDEAL-IQ脂肪分数与组织病理学脂肪细胞计数呈正相关关系(r=0.539 95%CI:0.012~0.832),与骨小梁模式因子、骨小梁结构模型指数、骨小梁分离度呈轻中度正相关关系,与骨矿物质密度、总体积、骨体积、骨体积分数、总表面积、骨表面积、骨表面积体积比、骨表面积总体积比、骨小梁数量呈轻至中度负相关关系。结论 1型糖尿病腰椎骨髓脂肪含量与骨小梁微结构变化存在相关性,IDEAL-IQ联合Micro-CT的多模态定量影像技术有望为1型糖尿病提供全面的骨髓微环境评估策略。展开更多
目的通过对以神经科学集群建设为特色的三级甲等医院的神经专科能力进行评估,为国内医院的特色专科建设提供参考。方法从服务能力、技术能力、质量安全和服务效率4个维度建立神经外科、神经内科专科能力评估指标体系,通过优劣解距离(tec...目的通过对以神经科学集群建设为特色的三级甲等医院的神经专科能力进行评估,为国内医院的特色专科建设提供参考。方法从服务能力、技术能力、质量安全和服务效率4个维度建立神经外科、神经内科专科能力评估指标体系,通过优劣解距离(technique for order preference by similarity to ideal solution,TOPSIS)法纵向比较首都医科大学附属北京天坛医院神经专科2019—2023年发展趋势,并采用波士顿矩阵深入分析神经专科各亚专业建设情况。结果2019—2023年首都医科大学附属北京天坛医院神经专科TOPSIS综合得分指数呈上升趋势。神经外科以胶质瘤诊治为主的肿瘤专业1,在技术能力和质量安全方面得分指数最高;神经内科以脑血管病为主的亚专业,在技术能力和服务效率方面得分指数较高,以上两个亚专业在波士顿矩阵中均处于优势巩固区。结论2019—2023年首都医科大学附属北京天坛医院神经专科诊治能力不断提升。神经外科亚专业中,专科能力排名最高的为肿瘤专业1,诊疗技术难度较高,同时医疗质量负性事件发生率低。神经内科各亚专业中,脑血管专业诊疗技术难度高且服务高效。展开更多
We propose an unbounded fully homomorphic encryption scheme, i.e. a scheme that allows one to compute on encrypted data for any desired functions without needing to decrypt the data or knowing the decryption keys. Thi...We propose an unbounded fully homomorphic encryption scheme, i.e. a scheme that allows one to compute on encrypted data for any desired functions without needing to decrypt the data or knowing the decryption keys. This is a rational solution to an old problem proposed by Rivest, Adleman, and Dertouzos [1] in 1978, and to some new problems that appeared in Peikert [2] as open questions 10 and open questions 11 a few years ago. Our scheme is completely different from the breakthrough work [3] of Gentry in 2009. Gentry’s bootstrapping technique constructs a fully homomorphic encryption (FHE) scheme from a somewhat homomorphic one that is powerful enough to evaluate its own decryption function. To date, it remains the only known way of obtaining unbounded FHE. Our construction of an unbounded FHE scheme is straightforward and can handle unbounded homomorphic computation on any refreshed ciphertexts without bootstrapping transformation technique.展开更多
文摘Instant Digital Express iDEAL-CIO The “Magic Lamp” for Cloud Intelligence Outlet, which has been recommended, combines innovations to satisfy modern users’ needs and efficiently sift through the ever-expanding amount of intelligent content stored in the cloud. One such innovation introduces a ground-breaking concept to remove superfluous and outdated sequential search patterns that overwhelm the user and computer in order to better serve the user in an eclectic & elastic and multidimensional approach to finding, grouping, assimilation, organizing, and delivering archival content. The cloud intelligence outlet (CIO) is presented in this article as the perfect magic lamp option for quick digital express advocacy. The grouping, indexing, folding, and targeting (GIFT) method of multidimensional online synthetic/analytical intelligent content (MOSAIC) for adaptive intelligence is the fundamental intelligent aggregation and automated process of the Magic Lamp. Three perspectives above this new ideal framework are available to observe: The Magic Lamp proposes contextual and multiple analytical tracks to improve cloud intelligence services conceptually. Technically speaking, MOSAIC combines domain-specific services for a wide range of international users, and through the usage of Cloud Intelligence Outlet, GIFT operationally activates grouping, indexing, folding, and targeting to promote decent experience and in-depth research on target for users’ wants. Because of this, iDEAL-CIO works in tandem with cloud extraction, digital transformation, and archival loading to provide improved service through the readily accessible cloud intelligence outlet.
文摘目的 采用定量非对称回波的最小二乘估算法迭代水脂分离序列(iterative decomposition of water and fat with echo asymmetry and least-squares estimation quantitation sequence, IDEAL-IQ)联合计算机显微断层扫描(micro computed tomography, Micro-CT)技术评估兔1型糖尿病腰椎骨髓脂肪含量和骨小梁微结构相关性。材料与方法 将16只雄性日本大耳白兔随机分为糖尿病组(n=8)和对照组(n=8),糖尿病组采用四氧嘧啶造模。在造模成功后第0、4、8、12、16周通过IDEAL-IQ定量评估兔腰椎骨髓脂肪含量。在第16周采用Micro-CT及组织病理学检查对兔腰椎骨小梁微结构进行定量评估。不同时间点腰椎IDEAL-IQ脂肪分数差异比较采用重复测量方差分析;同一时间点组间脂肪分数、Micro-CT骨小梁形态计量学参数、组织病理学参数差异比较采用独立样t检验或Mann-Whitney U检验;采用Pearson相关系数评估骨髓脂肪分数与骨小梁形态计量学参数、组织病理学参数相关性。结果 糖尿病组骨髓脂肪含量随时间变化呈上升趋势,且差异存在统计学意义(P<0.05),而对照组各时间点脂肪含量差异无统计学意义(P>0.05);糖尿病组与对照组腰椎骨髓脂肪分数在第16周差异有统计学意义(59.987±4.859 vs. 51.015±8.469,P<0.05);第16周糖尿病组骨体积、总表面积、骨表面积、骨表面积总体积比、骨小梁数量均低于对照组,而骨小梁分离度高于对照组,差异有统计学意义(P<0.05);组织病理学结果显示,与对照组相比,第16周糖尿病兔腰椎骨髓脂肪细胞数量(32.875±11.051 vs. 71.667±13.125, P<0.01)增加,而骨小梁数量(11.375±1.506vs.4.333±1.211, P<0.01)与骨小梁面积(0.927±0.071vs.0.312±0.100, P<0.01)明显减少;IDEAL-IQ脂肪分数与组织病理学脂肪细胞计数呈正相关关系(r=0.539 95%CI:0.012~0.832),与骨小梁模式因子、骨小梁结构模型指数、骨小梁分离度呈轻中度正相关关系,与骨矿物质密度、总体积、骨体积、骨体积分数、总表面积、骨表面积、骨表面积体积比、骨表面积总体积比、骨小梁数量呈轻至中度负相关关系。结论 1型糖尿病腰椎骨髓脂肪含量与骨小梁微结构变化存在相关性,IDEAL-IQ联合Micro-CT的多模态定量影像技术有望为1型糖尿病提供全面的骨髓微环境评估策略。
文摘目的通过对以神经科学集群建设为特色的三级甲等医院的神经专科能力进行评估,为国内医院的特色专科建设提供参考。方法从服务能力、技术能力、质量安全和服务效率4个维度建立神经外科、神经内科专科能力评估指标体系,通过优劣解距离(technique for order preference by similarity to ideal solution,TOPSIS)法纵向比较首都医科大学附属北京天坛医院神经专科2019—2023年发展趋势,并采用波士顿矩阵深入分析神经专科各亚专业建设情况。结果2019—2023年首都医科大学附属北京天坛医院神经专科TOPSIS综合得分指数呈上升趋势。神经外科以胶质瘤诊治为主的肿瘤专业1,在技术能力和质量安全方面得分指数最高;神经内科以脑血管病为主的亚专业,在技术能力和服务效率方面得分指数较高,以上两个亚专业在波士顿矩阵中均处于优势巩固区。结论2019—2023年首都医科大学附属北京天坛医院神经专科诊治能力不断提升。神经外科亚专业中,专科能力排名最高的为肿瘤专业1,诊疗技术难度较高,同时医疗质量负性事件发生率低。神经内科各亚专业中,脑血管专业诊疗技术难度高且服务高效。
文摘We propose an unbounded fully homomorphic encryption scheme, i.e. a scheme that allows one to compute on encrypted data for any desired functions without needing to decrypt the data or knowing the decryption keys. This is a rational solution to an old problem proposed by Rivest, Adleman, and Dertouzos [1] in 1978, and to some new problems that appeared in Peikert [2] as open questions 10 and open questions 11 a few years ago. Our scheme is completely different from the breakthrough work [3] of Gentry in 2009. Gentry’s bootstrapping technique constructs a fully homomorphic encryption (FHE) scheme from a somewhat homomorphic one that is powerful enough to evaluate its own decryption function. To date, it remains the only known way of obtaining unbounded FHE. Our construction of an unbounded FHE scheme is straightforward and can handle unbounded homomorphic computation on any refreshed ciphertexts without bootstrapping transformation technique.
