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A growing number of Protestant missionaries engaged in vernacular education in the late nineteenth century. To meet the demands of the new era, Christian church education faced challenges not only in its curriculum design but also in the way it presented new knowledge. Previous studies have focused on church education at the tertiary level while overlooking the elementary level. This article discusses vernacular church education and vernacular textbooks at the elementary level in the late Qing, with specific reference to Youxue baoshen yaoyan 幼學保身要言 (The Human Body for Children). It argues that the demand for spreading new knowledge urged Protestant missionaries to compile vernacular textbooks and present Western knowledge in the local settings. Vernacular church education should be regarded as the precursor of indigenous education proposed by the late Qing Court. The local dialect, Cantonese in this case, bridged the linguistic gap between new terms and children's cognition and became an effective means of presenting new knowledge. Vernacular textbooks had an unparalleled significance in the cultural sphere of dialect writing, since the language of textbooks could drastically influence the writing and reading habits of the young generation and further influence people's attitudes towards dialects and dialect literature. [ABSTRACT FROM AUTHOR]

Given the carbon limitation of low C/N wastewater, the improvement of nitrogen-removal efficiency remains a challenging task of municipal wastewater treatment plants (WWTPs) in China. In this study, a partial nitrification/anammox (PN/A) system was established to facilitate the anaerobic-anoxic-aerobic (A2/O) treatment of low C/N (C/N = 3) wastewater with insufficient carbon sources. Effects of dissolved oxygen (DO) concentration and internal reflux ratio on nitrogen-removal efficiency and pathway were investigated. Under the optimal DO (0.5–0.8 mg·L−1) and internal reflux ratio (250%), the highly efficient NH4+-N removal (97.21%) and TN removal (80.92%) were achieved based on PN/A. Moreover, the relative abundance of ammonia-oxidizing bacteria (Nitrosomonas) was 3 times higher than the abundance of nitrite-oxidizing bacteria (Nitrospira) in phase V, which was the main cause of PN in the reactor. Anaerobic ammonia-oxidizing bacteria (Candidatus Brocadia, Pirellula, and Gemmata) were also found and considered as the key microbes involved in anammox. This study reports that the A2/O process can achieve advanced nitrogen removal of low C/N wastewater based on PN/A by optimizing conventional process parameters. The outcomes of this study may provide practical engineering applications as a reference for nitrogen removal based on the A2/O process. [ABSTRACT FROM AUTHOR]

Concurrent regulation of crystallographic orientation and thickness of zirconium metal–organic framework (Zr‐MOF) membranes is challenging but promising for their performance enhancement. In this study, we pioneered the fabrication of uniform triangular‐shaped, 40 nm thick UiO‐66 nanosheet (NS) seeds by employing an anisotropic etching strategy. Through innovating confined counter‐diffusion‐assisted epitaxial growth, highly (111)‐oriented 165 nm‐thick UiO‐66 membrane was prepared. The significant reduction in thickness and diffusion barrier in the framework endowed the membrane with unprecedented CO2 permeance (2070 GPU) as well as high CO2/N2 selectivity (35.4), which surpassed the performance limits of state‐of‐the‐art polycrystalline MOF membranes. In addition, highly (111)‐oriented 180 nm‐thick NH2‐UiO‐66 membrane showing superb H2/CO2 separation performance with H2 permeance of 1230 GPU and H2/CO2 selectivity of 41.3, was prepared with the above synthetic procedure. [ABSTRACT FROM AUTHOR]

Concurrent regulation of crystallographic orientation and thickness of zirconium metal–organic framework (Zr‐MOF) membranes is challenging but promising for their performance enhancement. In this study, we pioneered the fabrication of uniform triangular‐shaped, 40 nm thick UiO‐66 nanosheet (NS) seeds by employing an anisotropic etching strategy. Through innovating confined counter‐diffusion‐assisted epitaxial growth, highly (111)‐oriented 165 nm‐thick UiO‐66 membrane was prepared. The significant reduction in thickness and diffusion barrier in the framework endowed the membrane with unprecedented CO2 permeance (2070 GPU) as well as high CO2/N2 selectivity (35.4), which surpassed the performance limits of state‐of‐the‐art polycrystalline MOF membranes. In addition, highly (111)‐oriented 180 nm‐thick NH2‐UiO‐66 membrane showing superb H2/CO2 separation performance with H2 permeance of 1230 GPU and H2/CO2 selectivity of 41.3, was prepared with the above synthetic procedure. [ABSTRACT FROM AUTHOR]

Metal‐organic framework (MOF), which possesses stable framework structure constructed by highly connected metal‐oxo cluster nodes and organic linkers, has shown great promise in gas storage, adsorption, and separation, owing to the high surface areas, tunable pore aperture, and rich functional groups. In this review article, we summarized recent progress made in synthesizing high‐valence MOF (e. g. UiO‐66, MIL‐125, PCN‐22, and MIP‐207) with metal‐oxo cluster as metal source. Of particular note, recent breakthroughs in the preparation of UiO‐66 and MIL‐125 membranes with the corresponding Zr6‐oxo and Ti8‐oxo cluster sources (e. g. Zr6O4(OH)4(OAc)12 and Ti8O8(OOCR)16 clusters) possessing superior separation performance were highlighted. In the end, an outlook on the preparation of versatile high‐valence MOF membranes with the corresponding metal‐oxo clusters as metal sources was highlighted. [ABSTRACT FROM AUTHOR]

Loss or absence of hearing is common at both extremes of human lifespan, in the forms of congenital deafness and age-related hearing loss. While these are often studied separately, there is increasing evidence that their genetic basis is at least partially overlapping. In particular, both common and rare variants in genes associated with monogenic forms of hearing loss also contribute to the more polygenic basis of age-related hearing loss. Here, we directly test this model in the Penn Medicine BioBank–a healthcare system cohort of around 40,000 individuals with linked genetic and electronic health record data. We show that increased burden of predicted deleterious variants in Mendelian hearing loss genes is associated with increased risk and severity of adult-onset hearing loss. As a specific example, we identify one gene–TCOF1, responsible for a syndromic form of congenital hearing loss–in which deleterious variants are also associated with adult-onset hearing loss. We also identify four additional novel candidate genes (COL5A1, HMMR, RAPGEF3, and NNT) in which rare variant burden may be associated with hearing loss. Our results confirm that rare variants in Mendelian hearing loss genes contribute to polygenic risk of hearing loss, and emphasize the utility of healthcare system cohorts to study common complex traits and diseases. Author summary: Age-related hearing loss is relatively common and has a genetic component to risk, though little is known about specific genes that are involved. Here, we study participants in the Penn Medicine BioBank to identify factors that increase risk of hearing loss. We show that loss-of-function variants in genes that are known to cause Mendelian forms of hearing loss also increase risk of age-related hearing loss. Because many such genes have been identified, they can be used to interpret the results of genome-wide association studies and to investigate the biological basis of age-related hearing loss. Our results also emphasize that many reported Mendelian hearing loss variants are incompletely penetrant and may act cumulatively. Finally, our study shows how hospital-recruited biobank cohorts can aid in the study of common conditions like hearing loss, even when those conditions are not the primary reason for contact with the health system. [ABSTRACT FROM AUTHOR]

Although having shown great promise for efficient gas separation, relevant study of Ti‐MOF membranes remains very scarce, owing to limited Ti source types and uncertain factors which dominate the separation properties. In this work, we pioneered the use of the Ti8(μ2‐O)8(OOCC6H5)16 cluster as the Ti source of MIL‐125 membranes, which led to lower reaction temperature and higher missing‐linker number within the framework and therefore, enhanced CO2/N2 adsorption selectivity. The MIL‐125 membrane prepared by combining single‐mode microwave heating with tertiary growth displayed an ideal CO2/N2 selectivity of 38.7, which ranked the highest among all pristine pure MOF membranes measured under comparable conditions. In addition, the ideal H2/N2 and H2/CH4 selectivity was as high as 64.9 and 40.7, thus showing great promise for versatile utility in gas separation. [ABSTRACT FROM AUTHOR]

Although having shown great promise for efficient gas separation, relevant study of Ti‐MOF membranes remains very scarce, owing to limited Ti source types and uncertain factors which dominate the separation properties. In this work, we pioneered the use of the Ti8(μ2‐O)8(OOCC6H5)16 cluster as the Ti source of MIL‐125 membranes, which led to lower reaction temperature and higher missing‐linker number within the framework and therefore, enhanced CO2/N2 adsorption selectivity. The MIL‐125 membrane prepared by combining single‐mode microwave heating with tertiary growth displayed an ideal CO2/N2 selectivity of 38.7, which ranked the highest among all pristine pure MOF membranes measured under comparable conditions. In addition, the ideal H2/N2 and H2/CH4 selectivity was as high as 64.9 and 40.7, thus showing great promise for versatile utility in gas separation. [ABSTRACT FROM AUTHOR]

In this research, we explore the impacts of cross-modal correspondence between sound frequency and color lightness on consumers' shopping behavior. Compared to previous studies that relied on a stable single-stage information environment, our study is based on a two-stage (i.e., elimination and choice stages) cognitive model to account for the dynamic cross-modal correspondence effect on shopping behavior. After conducting two laboratory experiments and one field experiment, we find that although consumers tend to pay more attention to light (vs. dark) products in the high (vs. low)-frequency sound condition in the elimination stage, this effect is less salient at the choice stage. We further find that consumer involvement acts as a moderator. Specifically, the correspondence effect is attenuated for highly involved consumers. [ABSTRACT FROM AUTHOR]

In this study, we report a novel synthetic strategy to prepare a highly (110)-oriented ZIF-7 film possessing superior anti-corrosion properties via oriented epitaxial growth. Our work provides insights into facile preparation of oriented uniform MOF single seed layers and films with rod-shaped MOF seeds as building blocks. [ABSTRACT FROM AUTHOR]

The anterior pituitary gland drives highly conserved physiologic processes in mammalian species. These hormonally controlled processes are central to somatic growth, pubertal transformation, fertility, lactation, and metabolism. Current cellular models of mammalian anteiror pituitary, largely built on candidate gene based immuno-histochemical and mRNA analyses, suggest that each of the seven hormones synthesized by the pituitary is produced by a specific and exclusive cell lineage. However, emerging evidence suggests more complex relationship between hormone specificity and cell plasticity. Here we have applied massively parallel single-cell RNA sequencing (scRNA-seq), in conjunction with complementary imaging-based single-cell analyses of mRNAs and proteins, to systematically map both cell-type diversity and functional state heterogeneity in adult male and female mouse pituitaries at single-cell resolution and in the context of major physiologic demands. These quantitative single-cell analyses reveal sex-specific cell-type composition under normal pituitary homeostasis, identify an array of cells associated with complex complements of hormone-enrichment, and undercover non-hormone producing interstitial and supporting cell-types. Interestingly, we also identified a Pou1f1-expressing cell population that is characterized by a unique multi-hormone gene expression profile. In response to two well-defined physiologic stresses, dynamic shifts in cellular diversity and transcriptome profiles were observed for major hormone producing and the putative multi-hormone cells. These studies reveal unanticipated cellular complexity and plasticity in adult pituitary, and provide a rich resource for further validating and expanding our molecular understanding of pituitary gene expression programs and hormone production. [ABSTRACT FROM AUTHOR]

With the advent of next-generation sequencing, investigators have access to higher quality sequencing data. However, to sequence all samples in a study using next generation sequencing can still be prohibitively expensive. One potential remedy could be to combine next generation sequencing data from cases with publicly available sequencing data for controls, but there could be a systematic difference in quality of sequenced data, such as sequencing depths, between sequenced study cases and publicly available controls. We propose a regression calibration (RC)-based method and a maximum-likelihood method for conducting an association study with such a combined sample by accounting for differential sequencing errors between cases and controls. The methods allow for adjusting for covariates, such as population stratification as confounders. Both methods control type I error and have comparable power to analysis conducted using the true genotype with sufficiently high but different sequencing depths. We show that the RC method allows for analysis using naive variance estimate (closely approximates true variance in practice) and standard software under certain circumstances. We evaluate the performance of the proposed methods using simulation studies and apply our methods to a combined data set of exome sequenced acute lung injury cases and healthy controls from the 1000 Genomes project. [ABSTRACT FROM AUTHOR]

Background: Cardiac damage triggered by severe hypocalcemia is well known. However, the role of chronic hypoparathyroidism (HP) and pseudohypoparathyroidism (PHP) in cardiac health is still unclear. We investigated the effect of chronic HP and PHP on cardiac structure and conductive function in patients compiling with treatment. Methods: The study included 18 patients with HP and eight with PHP aged 45.4 ± 15.4 and 22.1 ± 6.4 years, respectively with a previously regular follow-up. In addition, 26 age- and sex-matched healthy controls were included. General characteristics and biochemical indices were recorded. Cardiac function and structure were assessed by estimation of myocardial enzymes, B-type natriuretic peptide (BNP), and echocardiography. The 12-lead electrocardiogram and 24-h Holter electrocardiography were performed to evaluate the conductive function. Results: Levels of serum calcium in HP and PHP were 2.05 ± 0.16 mmol/L and 2.25 ± 0.19 mmol/L, respectively. The levels of myocardial enzyme and BNP were within the normal range. Adjusting for age at evaluation and body mass index, all M-mode measurements, left ventricular mass (LVM), LVM index (LVMI) and relative wall thickness (RWT) were comparable between patients and controls. Prolongation of corrected QT (QTc) intervals occurred in 52.6% (10/19) of patients, and 6.7% (1/15) of patients manifested more than 100 episodes of supraventricular and ventricular extrasystoles, as well as supraventricular tachycardia. None of the above arrhythmias was related to a severe clinical event. Conclusions: From this pilot study, patients diagnosed with HP and PHP and well-controlled serum calcium levels manifested normal cardiac morphology and ventricular function, except for prolonged QTc intervals, and a small percentage of mild arrhythmias needing further investigation. [ABSTRACT FROM AUTHOR]

Network models are applied across many domains where data can be represented as a network. Two prominent paradigms for modelling networks are statistical models (probabilistic models for the observed network) and mechanistic models (models for network growth and/or evolution). Mechanistic models are better suited for incorporating domain knowledge, to study effects of interventions (such as changes to specific mechanisms) and to forward simulate, but they typically have intractable likelihoods. As such, and in a stark contrast to statistical models, there is a relative dearth of research on model selection for such models despite the otherwise large body of extant work. In this article, we propose a simulator-based procedure for mechanistic network model selection that borrows aspects from Approximate Bayesian Computation along with a means to quantify the uncertainty in the selected model. To select the most suitable network model, we consider and assess the performance of several learning algorithms, most notably the so-called Super Learner, which makes our framework less sensitive to the choice of a particular learning algorithm. Our approach takes advantage of the ease to forward simulate from mechanistic network models to circumvent their intractable likelihoods. The overall process is flexible and widely applicable. Our simulation results demonstrate the approach's ability to accurately discriminate between competing mechanistic models. Finally, we showcase our approach with a protein–protein interaction network model from the literature for yeast (Saccharomyces cerevisiae). [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to build on the latest advances in cognitive computing techniques to systematically illustrate how unstructured data from users can offer significant value for co-innovation. Design/methodology/approach: The paper adopts a general overview approach to understand how unstructured data from users can be analyzed with cognitive computing techniques for innovation. The paper links the computerized techniques with marketing innovation problems with an integrated framework using dynamic capabilities and complexity theory. Findings: The paper identifies a suite of methodologies for facilitating company co-innovation via engaging with customers and external data with cognitive computing technologies. It helps to expand marketing researchers and practitioners' understanding of using unstructured data. Research limitations/implications: This paper provides a conceptual framework that divides co-innovation process into three stages, ideas generation, ideas integration and ideas evaluation, and maps cognitive computing methodologies and technologies to each stage. This paper makes the theoretical contributions by developing propositions from both customer and firm perspectives. Practical implications: This paper can be used for companies to engage consumers and external data for co-innovation activities by strategically select appropriate cognitive computing techniques to analyze unstructured data for better insights. Originality/value: Given the lack of systematic discussion regarding what is possible from using cognitive computing to analyze unstructured data for co-innovation. This paper makes first attempt to summarize how unstructured data can be analyzed with cognitive computing techniques. This paper also integrates complexity theory to the framework from a novel perspective. [ABSTRACT FROM AUTHOR]

Purpose: People generally believe that business with negative word-of-mouth, such as negative customer reviews can hardly have good sales. But a number of intriguing examples seem to contradict such beliefs. Academic has so far begun to explore the possible positive effect of negative customer reviews, but without unfolding its underlying mechanism. This paper proposes a mechanism through which the variance of customer reviews moderates the effect of negative reviews on sales. Design/methodology/approach: This study takes a multi-method approach in explaining the phenomenon, including an empirical analysis using secondary data from a movie review website and a movie box office website and a subsequent experimental study in a controlled experiment. Findings: The findings of the study show that the effect of negative customer reviews on product sales is positive when the variance of customer reviews is large. Moreover, customers' motivation to learn fully mediates the moderating effect of review variance on valence. Practical implications: The findings provide vital managerial implications and suggest that managers should realize the important role of the review distribution. Originality/value: This study mainly contributes to research on the negativity bias by identifying an important unexplored moderator and mediator and thus explains why negative customer review increases movie sales. [ABSTRACT FROM AUTHOR]

Purpose This study aims to examine the role of channel strategies in value appropriation and their effects on firm value with the consideration of situational factors.Design/methodology/approach An empirical study with secondary data is conducted in the context of public franchised channels. The authors use Entrepreneur Franchise Top 500 (2012) as the sampling frame and merge the data from three sources to create the final data set. A set of models are built to test the hypotheses in a hierarchical manner.Findings Value appropriation provides a solid rationale to link marketing channel strategies to firm value. Channel integration is an effective strategy driving intangible firm value. The influence of channel compression on intangible firm value depends on its interaction with other marketing environmental variables.Research limitations/implications First, the sample size in this study is relatively small though these samples show high representativeness. Second, the empirical analysis in this study focuses on the franchised channels because of data availability.Practical implications Managers should consider the role of value appropriation when developing new channel strategies. A channel strategy deserves firm-level attention and resources because of its relevance to firm value. Managers should examine channel environment carefully and deploy internal resources to augment the potential of value appropriation strategies in channels.Originality/value This study is among the first to investigate the value relevance of marketing channel strategies from a value appropriation perspective. It identifies profit appropriation and resource appropriation as two mechanisms of value appropriation in marketing channels and uses these two processes to link channel integration and channel compression strategies with firm value. [ABSTRACT FROM AUTHOR]

Purpose This study aims to provide a taxonomy of relational benefits that drive customer loyalty in sharing-economy services, assess the relative strengths of these relational benefits in influencing customer loyalty and examine whether commitment mediates the influence of relational benefits on customer loyalty in this context.Design/methodology/approach Relational benefits of sharing-economy services were explored through a focus group interview, followed by an online survey completed by 440 respondents in China. Structural equation modeling was used to test the hypotheses.Findings This study shows that confidence and social benefits have significant and positive effects on commitment in sharing-economy services. In addition, safety benefits, a new type of relational benefits, also significantly affect commitment in this context. Furthermore, the findings suggest that commitment acts as a mediator between confidence, social and safety benefits and customer loyalty. Special treatment benefits had no effect on commitment and loyalty in the sharing-economy context.Practical implications This paper provides sharing-economy service providers with insight on how to better create and sustain loyal relationships with customers through the provision of relational benefits.Originality/value This study offers initial insight into why customers would stay in peer-to-peer relationships in the sharing economy, and suggests how to strengthen relationships between customers and peer service providers. [ABSTRACT FROM AUTHOR]

The thalamus is the principal information hub of the vertebrate brain, with essential roles in sensory and motor information processing, attention, and memory. The complex array of thalamic nuclei develops from a restricted pool of neural progenitors. We apply longitudinal single-cell RNA sequencing and regional abrogation of Sonic hedgehog (Shh) to map the developmental trajectories of thalamic progenitors, intermediate progenitors, and post-mitotic neurons as they coalesce into distinct thalamic nuclei. These data reveal that the complex architecture of the thalamus is established early during embryonic brain development through the coordinated action of four cell differentiation lineages derived from Shh-dependent and -independent progenitors. We systematically characterize the gene expression programs that define these thalamic lineages across time and demonstrate how their disruption upon Shh depletion causes pronounced locomotor impairment resembling infantile Parkinson's disease. These results reveal key principles of thalamic development and provide mechanistic insights into neurodevelopmental disorders resulting from thalamic dysfunction. [Display omitted] • Molecular signatures distinguish most thalamic nuclei prior to birth • Thalamic nuclei emerge from four distinct cell lineages • Defects in motor thalamic nuclei formation cause infantile Parkinson's disease Govek et al. describe the developmental trajectory of thalamic nuclei from Shh-dependent and -independent neural progenitors. They show that molecular signatures of thalamic neuronal subtypes can be distinguished prior to their aggregation into histologically distinct thalamic nuclei and that alterations in Shh cause neurodevelopmental disorders attributed to thalamic dysfunction. [ABSTRACT FROM AUTHOR]

WeChat business is an emerging way of doing business in China, which can be considered as a marriage between traditional e-business and social networking communications. In WeChat business, firms have developed customer relationships along two distinct ways: business relationships and friendships. However, research on the combination of business relationships and friendships is relatively nascent, and there are contradictory findings. In this study, we examine the effectiveness of the two relationship strategies using data from a field experiment through the WeChat platform by an apparel firm. Results from the field experiment suggest that development of friendships with new customers can help the strategy of developing business relationships; but developing friendships and business relationships with experienced customers negates each other. The study contributes to the literature on relationship marketing and role theory, and helps WeChat managers clarify how new social networking relationships with customers can be effectively leveraged. [ABSTRACT FROM PUBLISHER]

Required for meiotic nuclear division 5 homolog A (RMND5A) functions as an E3 ubiquitin ligase. To date, few studies have investigated the role of RMND5A in cancer. In the present study, the expression levels of RMND5A in multiple types of cancer were analyzed using the Gene Expression Profiling Interactive Analysis platform. The results revealed that RMND5A was highly expressed and associated with overall survival in patients with pancreatic adenocarcinoma (PAAD). A wound-healing assay revealed that RMND5A overexpression significantly increased cell migration in the PAAD cell lines AsPC-1 and PANC-1. In silico analysis predicted that RMND5A was a potential target of microRNA(miR)-590-5p. Further in vitro experiments demonstrated that overexpression of miR-590-5p downregulated the expression levels of RMND5A and decreased the migratory ability of the AsPC-1 and PANC-1 cell lines. In addition, overexpression of miR-590-5p attenuated the promoting effects of RMND5A on the migration of AsPC-1 and PANC-1 cells. The results of the present study may further elucidate the mechanisms underlying PAAD progression and provide novel targets for the treatment of PAAD. [ABSTRACT FROM AUTHOR]

Network models are applied in numerous domains where data arise from systems of interactions among pairs of actors. Both statistical and mechanistic network models are increasingly capable of capturing various dependencies among these actors. Yet, these dependencies pose statistical challenges for analyzing such data, especially when the data set comprises only a single observation of one network, often leading to intractable likelihoods regardless of the modeling paradigm and limiting the application of existing statistical methods for networks. We explore a subsampling bootstrap procedure to serve as the basis for goodness of fit and model selection with a single observed network that circumvents the intractability of such likelihoods. Our approach is based on flexible resampling distributions formed from the single observed network, allowing for more nuanced and higher dimensional comparisons than point estimates of quantities of interest. We include worked examples for model selection, with simulation, and assessment of goodness of fit, with duplication-divergence model fits for yeast (S.cerevisiae) protein-protein interaction data from the literature. The proposed approach produces a flexible resampling distribution that can be based on any network statistics of one's choosing and can be employed for both statistical and mechanistic network models. [ABSTRACT FROM AUTHOR]