正关系的英文

• positive relationship

• 正    the first month of the lunar ...
• 关系    relation; filiation; relatio ...
• 正关系；正相关    positive relatio hip; positive relationship; positiverelatio hip
• 关系    1.(相互关系) relation; filiation; relationship; relevance; regard; ratio; tie 外交关系 diplomatic relations; 血缘关系 blood relationship; 关系紧张[疏远] relations become strained [estranged]; 中断关系 suspend relations with; 断绝关系 break off [sever] relations with; 恢复关系 resume relation with2.(有影响或重要性) bearing; impact; significance 关系重大 count for much; 这个问题关系到一个更重要的问题。 this question has a bearing on a much more important one.3.(泛指原因条件) 由于时间关系, 就谈到这里吧。 since time is limited, i'll have to stop here.4.(关联, 牵涉) concern; affect; have a bearing on; have to do with 农业关系国计民生极大。 agriculture is of vital importance to the nation's economy and the people's livelihood.5.(组织关系) credentials showing membership in or connection with an organization 他的组织关系已经带来了。 he has brought his membership credentials with him. 党员调动工作时, 要转党的关系。 when a party member is transferred to another place of work, his party credentials are sent there.; 关系表达式 relational expression; 关系词 relative; 关系从句 relative clause; 关系代词 relative pronoun; 关系代数 relational algebra; algebra of relations; 关系副词 relative adverb; 关系符号 relational symbol; relation character; 关系概念 [逻辑学] relation concept; 关系后项 [逻辑学] postrior term of relation; 关系量项 relative quantitative term; 关系论 relationism; 关系逻辑 logic of relations; 关系判断 relation judgment; 关系破裂 fraction; 关系前项 anterior term of relation; 关系人 [法] party; 关系条件 relation condition; 关系推理 relation inference; 关系协调 harmonious relations
• 因我终于找到了那真正关爱我的人    cause i've finally found someone who really cares
• 关系，关系曲线    relation
• 关系关系式    relation
• 泛关系    universal relation
• 负关系    negative relationship
• 格关系    case relation
• 共关系    revolving credit
• 关系 (数学)    relation (mathematics)
• 关系, 说到    respecting
• 关系t代数    relational t-algebra
• 关系，联系    relationship
• 关系，亲属    relationship
• 关系，往来    dealings plural noun; noun
• 关系表    relationshilist; table
• 关系词    relational word; relative
• 关系到    gehen um a; in / with relation to; in relation to; in/with relation to; liegen an d; touch on; with relation to
• 关系点    interest area
• 关系调    relative key
• 关系度    degree of relation
• 关系好    be on good terms; on good terms with
• 关系户    relative family; an individual, group or organization receiving preferential treatment; a well-connected individual or group; special relations with those working on supply stores and privilages

• When the sun is active , it radiates more . the solar irradiance correlates positively and strongly with the number of sunspots
  太阳辐射度和黑子的数目存在著很强的正关系，太阳越活跃，辐射越强。
• The negative relation plays the same role with the positive relation from the view of the mathematics and formal logic
  从数学、形式逻辑等学科技术中也容易看出，负关系所起的作用与正关系一样重要。
• Communities of a signed network are defined as the groups of vertices , within which positive relations are dense and between which negative relations are also dense
  符号网络中的共体是指多个不相交的节点集合，集合内的正关系稠密而集合间负关系稠密。
• So the problem of mining communities of signed networks quickly and correctly has not been solved satisfactorily . in this paper , we propose a heuristic algorithm to address this issue
  值得注意的是，当前有关万维网挖掘的工作都是基于只包含正关系的web图模型，而忽略了负关系的存在，如公司之间的竞争关系。
• Since syndrome demonstrates the specific part , cause , and property of a disease and the relationship between healthy and pathogenic factors and reflects the essence of pathological changes at a given point of disease ' s development , it can , rather than a symptom , provide a more comprehensive , further - reaching and more accurate view of the course and essence of a disease
  它能够辩证地分析特定疾病的病变部位、原因、性质及其邪正关系，能够在一定程度上反映出疾病发展过程中某一阶段病理变化的本质，因此， “证”比“症状”能更全面、更深刻、更准确地揭示疾病的发展过程和本质。
• First , it is very fast with a roughly linear time with respect to network size . second , it exhibits a good clustering capability and especially can work well with complex networks without well - defined community structures . finally , it is insensitive to its built - in parameters and requires no prior knowledge
  尽管目前已存在多种复杂网络共体挖掘算法最早的工作是girvan和newman提出的基于边介数的gn算法，但其中绝大多数都是针对只包含正关系的复杂网络提出，对符号网络并不适用，因此如何快速和准确地挖掘符号网络共体仍然是一个未被很好解决的问题。