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Abstract The brain integrates activity across networks of interconnected neurons to generate behavioral outputs. Several physiological and imaging-based approaches have been previously used to monitor responses of individual neurons. While these techniques can identify cellular responses greater than the neuron’s action potential threshold, less is known about the events that are smaller than this threshold or are localized to subcellular compartments. Here we use NEAs to obtain temporary intracellular access to neurons allowing us to record information-rich data that indicates action potentials, and sub-threshold electrical activity. We demonstrate these recordings from primary hippocampal neurons, induced pluripotent stem cell-derived (iPSC) neurons, and iPSC-derived brain organoids. Moreover, our results show that our arrays can record activity from subcellular compartments of the neuron. We suggest that these data might enable us to correlate activity changes in individual neurons with network behavior, a key goal of systems neuroscience.

Based on the matching of the database of China Industry Business Performance and China Customs Trade from 2000 to 2013, this paper constructs the digital product import index, and adopts the method of panel data modeling to systematically investigate the impact and mechanism of digital product import on the domestic value-added rate of Chinese enterprises' export from the theoretical and empirical aspects. The research finds that the import of digital products significantly promotes the improvement of the domestic value-added rate of enterprises' export, and the core conclusion is still valid after considering the endogeneity of variables, changing the measurement index and estimation method. The mechanism test finds that the import of digital products improves the domestic value-added rate of enterprises' export through two channels: cost markup and relative price. In addition, the heterogeneity test finds that the import of digital products has a stronger effect on the improvement of the domestic value-added rate of enterprises' export in non-export enterprises, pure general trading enterprises, foreign-funded enterprises, labor-intensive enterprises and enterprises in the eastern region.

Plant–microbe–soil interactions control over the forest biogeochemical cycling. Adaptive plant–soil interactions can shape specific microbial taxa in determining the ecosystem functioning. Different trees produce heterogeneous soil properties and can alter the composition of soil microbial community, which is relevant to the forest internal succession containing contrasting stand types such as the pine-oak forests. Considering representative microbial community characteristics are recorded in the original soil where they had adapted and resided, we constructed a soil transplant incubation experiment in a series of in situ root-ingrowth cores in a subtropical pine-oak forest, to simulate the vegetational pine-oak replacement under environmental succession. The responsive bacterial and fungal community discrepancies were studied to determine whether and how they would be changed. The pine and oak forest stands had greater heterogeneity in fungi composition than bacteria. Original soil and specific tree root status were the main factors that determined microbial community structure. Internal association network characters and intergroup variations of fungi among soil samples were more affected by original soil, while bacteria were more affected by receiving forest. Specifically, dominant tree roots had strong influence in accelerating the fungi community succession to adapt with the surrounding forest. We concluded that soil microbial responses to forest stand alternation differed between microbiome groups, with fungi from their original forest possessing higher resistance to encounter a new vegetation stand, while the bacteria community have faster resilience. The data would advance our insight into local soil microbial community dynamics during ecosystem succession and be helpful to enlighten forest management.

The main purpose of this paper is to investigate the happiness factors and assess the performance of machine learning techniques on predicting the happiness levels of European immigrants and natives. Two types of machine learning methods, Ordinal Logistic Regression (OLR) and Artificial Neural Network (ANN), are employed for analytical modeling. Our results with a total sample size of 196,724 respondents from nine rounds of the European Social Survey (ESS) indicate that the determinants of happiness for immigrants and natives are significantly inconsistent. Therefore, variables should be specifically selected to predict the happiness levels of these two different groups. The sensitivity analysis shows that satisfaction with life, subjective general health, and the highest level of education are the three most prominent determinants that contribute to the happiness of immigrants and natives. The overall accuracies of OLR and ANN baseline models are >80%. This can be further improved by building models for each individual country. The application of OLR and ANN implies that machine learning algorithms can be a useful tool for predicting happiness levels. The greater knowledge of migration and happiness will allow us to better understand the decision-making processes and construct more effective policies.

Human capital and ICT have a significant role in determining human development. The impacts of ICT and human capital on green growth and environmental sustainability should be explored for sustainable economic development. This research contributes to the literature on the role of ICTs and human capital in the determination of green growth and environmental performance. Based on time-series data 1990–2019, the study intends to investigate the impact of ICTs and human capital on environmental and green growth performance for China. The study reports that ICTs tend to reduce CO2 emissions and improve green growth in the long-run. However, education reduces CO2 emissions in the long-run but does not produce any significant impact on green growth in the long-run. It is suggested that government should invest in environmental efficiency and environmental technologies simultaneously with human capital that could significantly contribute to pollution reduction. Lastly, policies to increase human capital should be implemented simultaneously with policies to promote ICTs contribution in order to confirm green growth and environmental protection.

The present study was conducted in one of the major agriculture areas to check farmers indigenous knowledge about the impacts of floods on their farming lives, food security, sustainable development, and risk assessment. In the current study, primary data was used to analyze the situation. A semi-structured questionnaire was distributed among farmers. We have collected a cross-sectional dataset and applied the PLS-SEM dual-stage hybrid model to test the proposed hypotheses and rank the social, economic, and technological factors according to their normalized importance. Results revealed that farmers’ knowledge associated with adaption strategies, food security, risk assessment, and livelihood assets are the most significant predictors. Farmers need to have sufficient knowledge about floods, and it can help them to adopt proper measurements. A PLS-SEM dual-stage hybrid model was used to check the relationship among all variables, which showed a significant relationship among DV, IV, and control variables. PLS-SEM direct path analysis revealed that AS (b = −0.155; p 0.001), FS (b = 0.343; p 0.001), LA (b = 0.273; p 0.001), RA (b = 0.147; p 0.006), and for FKF have statistically significant values of beta, while SD (b = −0.079NS) is not significant. These results offer support to hypotheses H1 through H4 and H5 being rejected. On the other hand, age does not have any relationship with farmers’ knowledge of floods. Our study results have important policy suggestions for governments and other stakeholders to consider in order to make useful policies for the ecosystem. The study will aid in the implementation of effective monitoring and public policies to promote integrated and sustainable development, as well as how to minimize the impacts of floods on farmers’ lives and save the ecosystem and food.

The internal hemorrhoid, rectal tumor, hypertrophic anal papilla, and secret fecal mass are regarded as the blocks embedded in the rectum. The above blocks hinder defecation, which will inevitably lead to excessive opening of the anal caliber. Once the limit is exceeded, the skin of the anal canal will tear and form anal fissure. Based on the study of historical evolution, hypothesis reasoning, clinical verification and comparison with other theories, a new concept of anal fissure etiology–impaction theory is proposed. The so-called impaction theory refers to the impaction (various primary lesions) in anorectum, which hinders defecation. When defecating, the anal canal expands beyond the limit, and the whole layer of anal canal skin splits, that is to say, anal fissure is formed. Resumo: A hemorroida interna, o tumor retal, a papila anal hipertrófica e a massa fecal secreta são considerados os blocos incrustados no reto. Os bloqueios acima impedem a defecação, o que inevitavelmente levará a uma abertura excessiva do calibre anal. Uma vez que o limite é excedido, a pele do canal anal rasga e forma uma fissura anal. Com base no estudo da evolução histórica, raciocínio de hipóteses, verificação clínica e comparação com outras teorias, um novo conceito de etiologia da fissura anal – a teoria da impactação – é proposto. A chamada teoria da impactação refere-se à impactação (várias lesões primárias) no anorreto, o que dificulta a defecação. Na defecação, o canal anal se expande além do limite e toda a camada da pele do canal anal rasga, ou seja, forma-se a fissura anal.

Over the years, Pakistan and China have developed strong bilateral trade and economic linkages. China Pakistan economic corridors (CPEC) is a multidimensional development plan, encircling several diverse projects and the Chinese government is going to invest a huge amount in China-Pakistan Economic Corridor on several different projects. CPEC is an approach toward economic stability for both countries in the globalized world and is known as a game changer in this region. In the present study China-Pakistan economics door has been discussed, to check the CPEC implementations situation, its restraints, challenges, and benefits. An empirical process was adopted to check public opinion about it with aimed public perceptions About Foreign Investment, A PLS-SEM Analysis toward republic sustainable infrastructure. PLS-SEM direct path analysis revealed that there is direct relationship among IV and DV, these results offer support to hypotheses H1-H6 accepted. We have also looked at the levels of education and gender of the respondents as control variables, gender and education showed insignificant relationships with CPEC. It means there is no direct relationship between gender and education to DV. Age significantly moderates the relationship of CPEC associated with IV, depicts the moderation role of age on the relationship, under this research H2a and H3a have significant relationships with age as a moderator while other moderators did not show any relationship. In the current study, there is a significant relationship among all parameters, and there is a medium to strong correlation between diverse variables. The study showed that CPEC will have positive and strong impacts on the economic development of both countries and public of Pakistan consider it can open many doors for them for education, jobs and tourism. This study can help policy makers to make policy to make more effective policy in this are for sustainable development.

The research on solid waste based soft soil solidifying materials has received extensive attention in recent years. However, the properties of deep mixing piles are significantly affected by the construction technology. In view of this, this work carried out the systematic study on the influence of materials, the mixing tool and process optimization on the integrity and mechanical properties of deep mixing piles. Factors considered include the shape of the blade (strip and meniscus), the types of solidifying materials (PO 42.5 cement, self-developed soft soil solidifying agent), the content (50 kg/m, 65 kg/m, 80 kg/m and 100 kg/m) and how many times the materials needed to be mixed (two, four and six times). The solidification mechanism was analyzed. The results showed that the utilization of a meniscus blade contributed to the excellent integrity of the deep mixing pile, as well as solved the problems of oozing slurry and wrapped blade during construction. Mixing the materials four times is the most suitable for the construction of deep mixing piles in organic clay. The solidifying agent deep mixing pile showed satisfactory early and late strength. Microscopic analysis showed that more calcium silicate hydrate and ettringite formed in the solidifying agent solidified soil. Organic clay particles were better cemented and pores were fully filled, so that the solidified soil showed an integral and dense structure. The microscopically integral and dense structure contributed to the excellent integrity and mechanical properties of the solidifying agent deep mixing pile.

The present study employs panel data of 29 provinces and municipalities in mainland China from 2003 to 2016 to empirically investigate the influence of international students on China’s outward FDI. The results show that international students in China can significantly promote outward FDI in various Chinese provinces. Moreover, we observe a substitution effect with export scale and wage level, that is, attracting international students can offset the negative impact of insufficient export scale and low wages on regional OFDI (outward foreign direct investment). From a regional perspective, the growth in international students’ inflows in China has a significant positive impact on OFDI of provinces along “the 21st Century Maritime Silk Road”, but has no significant impact on the provinces along “the Silk Road Economic Belt”. The above conclusions not only elaborate the regional distribution mechanism of OFDI in China, but also provide a reference for each province to formulate more favorable policies to attract foreign talent to effectively implement the strategy of “going global”.

The present study was conducted in one of the major agriculture areas to check farmers indigenous knowledge about the impacts of floods on their farming lives, food security, sustainable development, and risk assessment. In the current study, primary data was used to analyze the situation. A semi-structured questionnaire was distributed among farmers. We have collected a cross-sectional dataset and applied the PLS-SEM dual-stage hybrid model to test the proposed hypotheses and rank the social, economic, and technological factors according to their normalized importance. Results revealed that farmers' knowledge associated with adaption strategies, food security, risk assessment, and livelihood assets are the most significant predictors. Farmers need to have sufficient knowledge about floods, and it can help them to adopt proper measurements. A PLS-SEM dual-stage hybrid model was used to check the relationship among all variables, which showed a significant relationship among DV, IV, and control variables. PLS-SEM direct path analysis revealed that AS (b = -0.155; p 0.001), FS (b = 0.343; p 0.001), LA (b = 0.273; p 0.001), RA (b = 0.147; p 0.006), and for FKF have statistically significant values of beta, while SD (b = -0.079NS) is not significant. These results offer support to hypotheses H1 through H4 and H5 being rejected. On the other hand, age does not have any relationship with farmers' knowledge of floods. Our study results have important policy suggestions for governments and other stakeholders to consider in order to make useful policies for the ecosystem. The study will aid in the implementation of effective monitoring and public policies to promote integrated and sustainable development, as well as how to minimize the impacts of floods on farmers' lives and save the ecosystem and food. [ABSTRACT FROM AUTHOR]