中国工业行业碳强度的因素分析——基于超越对数生产函数

为探究工业行业碳强度变化的成因,基于Kaya恒等式的碳强度分解,以碳强度表示产出,以经济增长、能源消费量、能源消费结构和技术进步为投入要素构建超越对数生产函数,通过各要素的碳强度产出弹性反映各要素对碳强度的贡献;并运用通径分析法进一步揭示各要素间的相互关系及其与碳强度的直接和间接关系。结果表明:能源消费结构的优化和技术进步抑制了工业行业碳强度的增长,能源消费量的增长和工业增加值的增长拉动了碳强度的增长,其中能源消费结构和能源消费量对工业行业碳强度的影响显著,因此降低工业行业碳强度的关键在于减少能源消费结构和能源消费量的碳强度产出弹性;能源消费量、工业增加值和能源消费结构对能源消费量的碳强度产出弹性起直接推动作用,技术进步起直接抑制作用;工业增加值和能源消费量对能源消费结构的碳强度产出弹性起直接推动作用,技术进步和能源消费结构起直接抑制作用。可见,工业行业对能源消费的依赖性较强,降低工业行业碳强度应主要依靠技术进步转变能源利用方式,提高能源效率,优化能源消费结构。     

关于经济学时间概念及经济时空分析框架的思考

经济学时间框架是一定经济学思想体系所依赖的时间背景条件,它限定着相应逻辑分析的解释边界。古典经济学的时间背景包括历史时间和作为资源的时间,新古典经济学的主要时间背景是机械力学的静态时间,演化和新制度经济学的时间背景转变到热力学与进化论交集的时间,而目前仍存在的尺度缺失制约着经济学的时空分析能力。作者认为,经济学应该学习借鉴相对论和社会学的时空观,补充构建基于即期相对时间并结合经济时空场域的新一代分析框架。新框架有利于经济学在分析现实世界中选用更合适的逻辑时间概念,突破传统静态分析范式,从只聚焦于均衡时点转变到真正关注过程。同时,放松过于严格的理性经济人假设条件,更好地达成主观与客观的一致性。     

双螺杆泵Ω形对称型螺杆流场数值分析

由于螺杆泵几何结构及流体流动状态较为复杂,其压力分布和速度等特性很难用数学解析法来分析计算。本文利用参数化设计模块建立双螺杆泵Q形对称型螺杆三维模型,构建双螺杆流道的流场分析模型,运用有限元分析方法得出了双螺杆泵流道内压力场和速度场分布规律。结果表明：流体在流道中的流速分布具有规律性,整个流道的流场速度高低交替变化,在螺杆与衬套间隙处的流动为层流,螺旋面接触区内的流动为复杂的湍流,离螺杆啮合区近的螺旋槽内易发生涡流。本研究结果对于了解双螺杆泵螺杆工况下的性能情况具有重要的参考价值。     

搅拌釜内双层改进型INTER-MIG桨流场实验研究

为得到双层INTER-MIG桨搅拌釜内流场特征,文章采用粒子图像测速技术(PIV)对直径为430 mm的双层改进 型INTER-MIG桨搅拌槽内流场进行了实验研究。分析了搅拌转速、相位角及轴向位置对搅拌槽内流场分布的影响。结 果表明：整个流场表现出较强轴流特性,底桨右端形成一个漩涡;转速增加引起桨叶附近湍动增强,但整体流型变化不 大;当r/R <0.48时,桨叶间轴流效果显著,有利于釜底流体向上抬升,增强整体混合效果;当r/R>0.48时,桨叶右端在 近壁面处会形成上下2股流动流体,有助于形成局部区域循环。实验结果可为工业搅拌过程提供工艺参考。     

老舍文化视野中的市民世界及其精神内涵

老舍以市民世界畸型的心灵为切入点,深入剖析国民性格的积习和痼疾,开掘其历史文化渊源,并以理性之光寻找中西文化的"熔点"以重铸国民的理想人格,显示了他对国家民族命运的忧思和对未来理想社会的构想。     

State transition modeling of complex monitored health data

This article considers the analysis of complex monitored health data, where often one or several signals are reflecting the current health status that can be represented by a finite number of states, in addition to a set of covariates. In particular, we consider a novel application of a non-parametric state intensity regression method in order to study time-dependent effects of covariates on the state transition intensities. The method can handle baseline, time varying as well as dynamic covariates. Because of the non-parametric nature, the method can handle different data types and challenges under minimal assumptions. If the signal that is reflecting the current health status is of continuous nature, we propose the application of a weighted median and a hysteresis filter as data pre-processing steps in order to facilitate robust analysis. In intensity regression, covariates can be aggregated by a suitable functional form over a time history window. We propose to study the estimated cumulative regression parameters for different choices of the time history window in order to investigate short- and long-term effects of the given covariates. The proposed framework is discussed and applied to resuscitation data of newborns collected in Tanzania.     

x~n+1在有理数域上的因式分解

从特殊情况研究多项式f(x)=xn+1在有理数域上的因式分解.对于正整数,设H(n)是n的大于1的奇约数的个数.本文用初等数论和近世代数的知识证明了:多项式xn+1在有理数域上可分解为H(n)+1个不可约因式的乘积,即D(f)=H(n)+1.     

Another economy: towards a cultural dialectics between energy and society

The looming oil crisis, pollution, and climate change have pushed governments, corporations, and individuals to think of new policies, new objects/products and new manners to market them – usually under the label of “green economy” (or the shifting towards a sustainable economy).

The changes that are on the way as a result of the envisaged “green revolution” need a broad vision that couples the economy of energetic techniques with the related socio-cultural economy that is induced by, and at the same time reciprocally influences, the mere technical transformations.

Based on previous analysis of theories of socio-technological change and putting at its center the concept of subjectivation in social sciences, this article proposes a theoretical understanding of cultural shifts and their relationship with changes in the practices of production, transfer and use of energy.

First part presents a schema of subjectivation in triangulation, that links the biological level with the material culture and with the representational realm of normativities in our society. It will be developed through the example of electric vehicle as metaphor of the energetic transition. Through this understanding, second part deals with the modeling of the three items as a processual energetic system by using the concepts of surplus and expenditure. Within this frame, we show how disruptions in one of the poles of this model influences the others and bring about changes in the entire Anthropo-Social level. Third part proposes possible types of emerging subjectivities and advances the idea of extending the realm of consciousness to the energetic transfers and their potentiality.     

Training fieldwork supervisors of social work students at a South European University: evaluation of the effectiveness of a relational psychodynamic model

This case-study adopts a mixed research methodology in order to evaluate the process and the effectiveness of a psychodynamically informed training seminar for field supervisors of undergraduate social work students, at a South European University. At the beginning of the seminar, an anonymous questionnaire gathered information on the supervisors’ demographics, preferred supervision style and expectations from the training. The training consisted of four sessions involving analysis of (1) student process-recorded interviews with clients, (2) the relationships formed between the student, the supervisor and the field practice manager, (3) brief virtual scenarios (vignettes) of field practice problems and (4) a videotaped supervision session. At the end of the training process, a follow-up questionnaire researched the satisfaction of supervisors with the training, their confidence to conduct supervision, and their satisfaction with the instructor's teaching. Overall, the training has been satisfactory for the trainees and increased their competence to supervise.     

Geometric Anisotropic Spatial Point Pattern Analysis and Cox Processes

We consider spatial point processes with a pair correlation function, which depends only on the lag vector between a pair of points. Our interest is in statistical models with a special kind of ‘structured’ anisotropy: the pair correlation function is geometric anisotropic if it is elliptical but not spherical. In particular, we study Cox process models with an elliptical pair correlation function, including shot noise Cox processes and log Gaussian Cox processes, and we develop estimation procedures using summary statistics and Bayesian methods. Our methodology is illustrated on real and synthetic datasets of spatial point patterns.