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College students with creativity and organizational innovation ability are the needs of all walks of life in modern society. The theory of multiple intelligences makes the teaching implementation and teaching evaluation more reasonable and diversified, and provides practical and effective guidance for teachers to understand and master the theory and apply the theory in teaching. This paper makes a critical analysis of college students' creativity and organizational innovation under the teaching management based on the theory of multiple intelligences. This paper adopts the method of literature analysis and sampling survey to study. In the research, 400 college students under the teaching management based on the theory of multiple intelligences are selected. Through questionnaire survey, the appropriate quantitative table is selected to evaluate the creativity and organizational innovation ability of college students under the teaching management based on the theory of multiple intelligences. The results show that in the total evaluation of creative thinking, there are 66 people in a level, 174 in B level, 130 in C level and 30 in D level. It can be seen that the creativity and organizational innovation of college students are relatively mediocre. On the basis of these research results, we make a critical analysis of this.

Despite its significance for health and education, the neurocognitive mechanism of real-life self-control remains unclear. While recent studies focused on task-related brain activation patterns as predictors of self-control, the contribution and relevance of functional connectivity between large-scale brain networks mediating higher-order cognition is largely unknown. Using a saliency-based triple-network model of cognitive control, we tested the hypothesis that cross-network interactions among the salience network (SN), the central executive network (CEN), and the default mode network (DMN) are associated with real-life self-control. To this end, a large community sample (N = 294) underwent ecological momentary assessment of daily self-control as well as task-free fMRI to examine intrinsic inter-network organization and determine a SN-centered network interaction index (NII). Logistic multilevel regression analysis showed that higher NII scores were associated with increased real-life self-control. This suggests that the assumed role of the SN in initiating switching between the DMN and CEN is an important part of self-control.

With the development of Internet technology, the influx of massive data has enabled research in the development of related fields such as the education robot industry. The era of big data has knocked on the door of artificial intelligence that has been silent for many years, combining statistical methodology, information theory, probability theory, etc. Disciplines, a new Internet era is coming. Educational robots, as a segmented industry of service robots, are closely related to artificial intelligence, and have been at the core of capital in recent years. In this context, using big data analysis to promote the healthy development of the education robot industry is of great significance to the development of the domestic education robot industry. This article uses big data technology to analyze the human resource management and debt structure and solvency of Shanghai Future Partners Robot Co., Ltd., analyzes the macroeconomic environment and industry environment of Shanghai Future Partners Robot Co., Ltd., and discusses the opportunities and challenge. Study the internal resources and capabilities of Shanghai Future Partners Robotics Co., Ltd., and analyze the company’s strengths and weaknesses in terms of production management, technology research and development capabilities, financial management, marketing management, and human resource management. This article adopts the method of combining theory with practice and big data analysis, combining the learned economic theory, corporate strategy theory, financial management science, and human resources science with the actual situation of the development of Shanghai Future Partner Robot Co., Ltd., and On this basis, the strategic goals and strategic positioning of the company’s future development are determined. Finally, it discusses how to control and implement corporate development strategies. The study found that the company’s engineering and technical personnel ratio is as high as 61.8%, and the employees are of high quality, which is in line with the high-tech and composite characteristics of the industry.

Cognitive flexibility is essential to cope with changing task demands and often it is necessary to adapt to combined changes in a coordinated manner. The present fMRI study examined how the brain implements such multi‐level adaptation processes. Specifically, on a “local,” hierarchically lower level, switching between two tasks was required across trials while the rules of each task remained unchanged for blocks of trials. On a “global” level regarding blocks of twelve trials, the task rules could reverse or remain the same. The current task was cued at the start of each trial while the current task rules were instructed before the start of a new block. We found that partly overlapping and partly segregated neural networks play different roles when coping with the combination of global rule reversal and local task switching. The fronto‐parietal control network (FPN) supported the encoding of reversed rules at the time of explicit rule instruction. The same regions subsequently supported local task switching processes during actual implementation trials, irrespective of rule reversal condition. By contrast, a cortico‐striatal network (CSN) including supplementary motor area and putamen was increasingly engaged across implementation trials and more so for rule reversal than for nonreversal blocks, irrespective of task switching condition. Together, these findings suggest that the brain accomplishes the coordinated adaptation to multi‐level demand changes by distributing processing resources either across time (FPN for reversed rule encoding and later for task switching) or across regions (CSN for reversed rule implementation and FPN for concurrent task switching).

Study question Does tumor necrosis factor-α (TNF-α) differentially regulate matrix metalloproteinase-2 (MMP-2) expression in leiomyomas compared with normal myometrium? Summary answer TNF-α up-regulates MMP-2 expression and stimulates cell migration through the activation of extracellular signal-regulated kinase (ERK) signaling pathway in leiomyoma smooth muscle cells (SMCs), but not in normal myometrial SMCs. What is known already Uterine leiomyoma, the benign smooth muscle cell tumor, is the single most common indication for hysterectomy. High expression of MMPs or TNF-α has been reported in uterine leiomyomas; however, the molecular mechanism underlying these observations remains unknown. Study design, size, duration Samples were obtained between 2009 and 2013 from 12 women of reproductive age at the proliferative phase of the menstrual cycle by hysterectomy. Leiomyomas and matched normal myometrium from each woman were analyzed in vitro. Participants/materials, setting, methods Western blot, RT-qPCR and a wound-healing assay were used to investigate the effects of TNF-α on MMP-2 expression and intracellular signal transduction in cultured SMCs from leiomyomas and matched myometrium. Main results and the role of chance Western blot and RT-qPCR analyses using tissues from clinical patients showed that the levels of MMP-2 protein (P = 0.008) and mRNA (P = 0.009) were significantly higher in uterine leiomyomas compared with their matched myometrium. Treatment with TNF-α significantly up-regulated the protein (P = 0.039) and mRNA (P = 0.037) levels of MMP-2 in cultured leiomyoma SMCs but not in matched myometrial SMCs. The extracellular signal-regulated kinase (ERK) and nuclear factor-kappa B (NF-κB) pathways were activated by TNF-α in leiomyoma SMCs. Specific inhibitors of the ERK or NF-κB pathway (PD98059 or Bay11-7082) suppressed TNF-α-induced MMP-2 expression in leiomyoma SMCs. The wound-healing assay revealed that TNF-α promoted the migration of cultured leiomyoma SMCs (P = 0.036); however, PD98059 compromised the cell migration triggered by TNF-α. Limitations, reasons for caution This study is descriptive and although we observed clear differential regulation of MMP-2 by TNF-α at mRNA and protein levels in leiomyoma, future studies are needed to identify why the difference in TNF-α response exists between human leiomyoma tissue and normal myometrium. Including some of the experiments such as transfection studies for TNF-α and MMP-2 promoter mapping could have added more insight as to why this difference exists. In addition, further studies in vivo are needed to verify the results obtained from primary cultured SMCs. Wider implications of the findings Considering the positive effect of TNF-α on leiomyoma SMC migration, strategies targeting TNF-α, in parallel with the production of more specific inhibitors of MMPs, may provide alternative therapeutic approaches for the treatment of leiomyoma. Study funding/competing interests This work was partially supported by grants from the Program for New Century Excellent Talents in University (NCET-12-0282), National Natural Science Foundation of China (81371620) and Tianjin Natural Science Foundation (12JCZDJC24900). The authors have no conflicts of interest to declare.

To isolate the neural correlates for task rule activation from those related to general task preparation, the effect of a cue explicitly specifying the S-R correspondences (rule-cue) was contrasted with the effects of a cue specifying only the task to performed (task-cue). While the task-cue provides merely information about the type of task, the rule-cue is explicit about both the task type and the task rule (i.e., the set of S-R correspondences). The rule-cue was expected to activate the task rule more efficiently in the preparation period (prior to target presentation); by contrast, in the task-cue condition, part of the task rule activation was expected to be postponed into the task execution period (following the presentation of the target). In an event-related fMRI experiment, we found the right anterior and middle parts of the middle frontal and superior frontal gyri, the right inferior frontal junction, the pre-SMA, as well as the right superior and inferior parietal lobes to show larger activation elicited by the rule-cue than by the task-cue prior to target presentation. Conversely, the results revealed larger activations in these regions in the task-cue than in the rule-cue condition during the task execution period. In summary, this study identified some of the neural correlates of task rule activation and showed that these are a subset of the general task preparation network.

Unclassified mixed germ cell-sex cord-stromal tumor composed of germ cells and sex cord derivatives is a rare neoplasm. Approximately 10% of such tumors have malignant germ cell components. We report the case of a 28 year-old female with a right adnexal mass measuring 8 cm in greatest dimension, containing areas with both germ cell and sex cord components. The germ cell portion contained multiple growth patterns with a malignant appearance, while the sex cord element consisted mainly of annular tubules. Within the malignant germ cell elements was a dysgerminoma that accounted for approximately 75% of the tumor volume. Other malignant germ cell elements included yolk sac tumor, embryonal carcinoma, and choriocarcinoma, which comprised about 15% of the tumor volume. The annular tubule structures comprised about 10% of the total tumor volume. To our knowledge, this is the first case reported in the literature of an unclassified mixed germ cell-sex cord-stromal tumor associated with embryonal carcinoma components. The patient had a 46XX karyotype, regular menstrual periods, and no evidence of gross abnormalities in the contralateral ovary. The patient remained clinically well and disease-free 2 years after surgery. In addition to a thorough case description, the literature concerning this entity is reviewed and discussed.

To investigate the role of posterior brain regions related to task-relevant stimulus processing in task preparation, we used a cued task-switching paradigm in which a pre-cue informed participants about the upcoming task on a trial: face discrimination or number comparison. Employing an event-related fMRI design, we examined for changes of activity in face- and number-related posterior brain regions (right fusiform face area (FFA) and right intraparietal sulcus (IPSnum), respectively), and explored the functional connectivity of these areas with other brain regions, during the (preparation) interval between cue onset and onset of the (to-be-responded) target stimulus. The results revealed task-relevant posterior brain regions to be modulated during this period: activation in task-relevant stimulus-specific regions was selectively enhanced and their functional connectivity to task-relevant anterior brain regions strengthened (right FFA – face task, right IPSnum – number task) while participants prepared for the cued task. Additionally, activity in task-relevant posterior brain regions was influenced by residual activation from the preceding trial in the right FFA and the right IPSnum, respectively. These findings indicate that, during task preparation, the activation pattern in currently task-relevant posterior brain regions is shaped by residual activation as well as preparatory modulation prior to the onset of the critical stimulus, even without participants being instructed to imagine the stimulus.