Construction of Cost-Sharing Mechanism of New Generation Migrant Workers’ Citizenization in Chongqing of China

Migrant workers’ citizenization is an important task in balancing urban and rural development, and promoting the process of citizenization. And the reasonable construction of the cost- sharing mechanism is the key to promote the citizenization orderly. Under the restriction of fairness and efficiency, this paper designs a multi-cost-sharing mechanism of the society, governments, enterprises and migrant workers. This paper also establishes promoting system including comprehensive coordination mechanism, dynamic adjustment mechanism, supervise and evaluate mechanism. This paper provides basic safeguard and dynamic support for promoting the effective operation of cost-sharing mechanism and for gradually solving the current dilemma of the migrant workers’ citizenization

The Construction, Calculation, and Analysis of the Costs of New Generation Migrant Workers’ Citizenization in Chongqing of China

Citizenization of migrant workers is a major strategic choice to balance urban and rural development, eliminate dual economic structure contradiction, and solve the issues of “agriculture, rural areas and farmers”. However, due to various reasons, it is extremely difficult for migrant workers to convert to real citizens currently. This paper, taking Chongqing as an example, clarifies the cost construction in the process of new generation migrant workers’ citizenization through empirical data, then calculates and analyzes the cost construction, so as to provide the basic safeguard and dynamic support for the migrant workers’ citizenization

Motivation Mechanism Prevents Adverse Selection in Industrial Technology Innovation Strategic Alliance

Choosing proper partners is the key to the success of the alliance. Based on the analysis of the characters of the Industrial Technology Innovation Strategic Alliance, a new kind of cooperative organization occurred in China in recent years. The problem of “adverse selection” at the stage of the its establishment is discussed in this paper. The game model is built based on motivation theory and the principle-agent theory and then proved by examples. The conclusions can be got from the model. By setting the ranges of funds, preferential policy, and sharable profits and designing membership rules, the organizer of the Industrial Technology Innovation Strategic Alliance can motivate the risk neutral applicant to reveal his real capacity and the one with higher capacity to participate intothe alliance more actively and even can set capacity threshold for applicants implicitly

Bacterium-Enabled Transient Gene Activation by Artificial Transcription Factor for Resolving Gene Regulation in Maize

Cellular functions are diversified through intricate transcription regulations, and an understanding gene regulation networks is essential to elucidating many developmental processes and environmental responses. Here, we employed the Transcriptional-Activator Like effectors (TALes), which represent a family of transcription factors that are synthesized by members of the γ-proteobacterium genus Xanthomonas and secreted to host cells for activation of targeted host genes. Through delivery by the maize pathogen, Xanthomonas vasicola pv. vasculorum, designer TALes (dTALes), which are synthetic TALes, were used to induce the expression of the maize gene glossy3 (gl3), a MYB transcription factor gene involved in the cuticular wax biosynthesis. RNA-Seq analysis of leaf samples identified 146 gl3 downstream genes. Eight of the nine known genes known to be involved in the cuticular wax biosynthesis were up-regulated by at least one dTALe. A top-down Gaussian graphical model predicted that 68 gl3 downstream genes were directly regulated by GL3. A chemically induced mutant of the gene Zm00001d017418 from the gl3 downstream gene, encoding aldehyde dehydrogenase, exhibited a typical glossy leaf phenotype and reduced epicuticular waxes. The bacterial protein delivery of artificial transcription factors, dTALes, proved to be a straightforward and powerful approach for the revelation of gene regulation in plants

Association between Subclinical Hypothyroidism and Cardiac Autonomic Neuropathy in Type 2 Diabetes Mellitus

BackgroundCardiac autonomic neuropathy (CAN) is a common and severe chronic diabetic complication, whose association with thyroid function has rarely been reported.ObjectiveTo investigate the association between subclinical hypothyroidism and CAN in type 2 diabetes mellitus (T2DM) .MethodsWe performed a retrospective analysis of 564 outpatients and hospitalized patients with T2DM recruited from Beijing Friendship Hospital, Capital Medical University from October 2019 to October 2020. Baseline characteristics, physical and laboratory examination results were collected. Ewing test was performed to identify CAN. The association between subclinical hypothyroidism and CAN was assessed using the Pearson correlation coefficient and Spearman's rank coefficient of correlation. Factors associated with CAN in T2DM were identified using multivariate, stepwise logistic regression.ResultsOne hundred and twenty-nine subjects (22.9%) were found with CAN, and other 435 without. Subclinical hypothyroidism was detected in 84 cases (14.9%) , including 36 with CAN and 48 without. The prevalence of subclinical hypothyroidism in those with CAN〔28.0% (36/129) 〕 was higher than that of those without〔11.0% (48/435) 〕 (χ2=22.346, P<0.001) . For those with CAN, the ratio between maximum and minimum R-R intervals during the Valsalva maneuver demonstrated a negative correlation with the duration of T2DM, glycated hemoglobin, fasting plasma glucose, low-density lipoprotein cholesterol, triacylglycerol, high-sensitivity C-reactive protein, thyroid-stimulating hormone and urine albumin-to-creatinine ratio, while it demonstrated a positive correlation with the diastolic blood pressure (P<0.05) . The multivariate, stepwise logistic regression analysis revealed that subclinical hypothyroidism〔OR=1.717, 95%CI (1.246, 2.365) 〕was independently associated with increased risk of CAN in T2DM (P<0.05) .ConclusionIn type 2 diabetes patients, the level of TSH may be related to CAN, and subclinical hypothyroidism may be an independent associated factor of CAN

Functional Anatomy of Recognition of Chinese Multi-Character Words: Convergent Evidence from Effects of Transposable Nonwords, Lexicality, and Word Frequency

This fMRI study aimed to identify the neural mechanisms underlying the recognition of Chinese multi-character words by partialling out the confounding effect of reaction time (RT). For this purpose, a special type of nonword—transposable nonword—was created by reversing the character orders of real words. These nonwords were included in a lexical decision task along with regular (non-transposable) nonwords and real words. Through conjunction analysis on the contrasts of transposable nonwords versus regular nonwords and words versus regular nonwords, the confounding effect of RT was eliminated, and the regions involved in word recognition were reliably identified. The word-frequency effect was also examined in emerged regions to further assess their functional roles in word processing. Results showed significant conjunctional effect and positive word-frequency effect in the bilateral inferior parietal lobules and posterior cingulate cortex, whereas only conjunctional effect was found in the anterior cingulate cortex. The roles of these brain regions in recognition of Chinese multi-character words were discussed

Brain anomaly networks uncover heterogeneous functional reorganization patterns after stroke

Stroke has a large physical, psychological, and financial burden on patients, their families, and society. Based on functional networks (FNs) constructed from resting state fMRI data, network connectivity after stroke is commonly conjectured to be more randomly reconfigured. We find that this hypothesis depends on the severity of stroke. Head movement-corrected, resting-state fMRI data were acquired from 32 patients after stroke, and 37 healthy volunteers. We constructed anomaly FNs, which combine time series information of a patient with the healthy control group. We propose data-driven techniques to automatically identify regions of interest that are stroke relevant. Graph analysis based on anomaly FNs suggests consistently that strong connections in healthy controls are broken down specifically and characteristically for brain areas that are related to sensorimotor functions and frontoparietal control systems, but new links in stroke patients are rebuilt randomly from all possible areas. Entropic measures of complexity are proposed for characterizing the functional connectivity reorganization patterns, which are correlated with hand and wrist function assessments of stroke patients and show high potential for clinical use