Highlights d Functionally distinct neuronal ensembles exist within a single memory engram d Fosand Npas4-dependent ensembles undergo distinct synaptic modifications after CFC d Fosand Npas4-dependent ensembles drive memoryguided behaviors in opposite directions d Memory generalization and discrimination, respectively, require MEC and CCK + interneurons
While many approaches to predict aqueous pK a values exist, the fast and accurate prediction of non-aqueous pK a values is still challenging. Based on the iBonD experimental pK a database (39 solvents), ah olistic pK a prediction model was established using machine learning.S tructural and physical-organic-parameter-based descriptors (SPOC) were introduced to represent the electronic and structural features of the molecules.The models trained with aneural network or the XGBoost algorithm showed the best prediction performance with alow MAE value of 0.87 pK a units.The approachallows ac omprehensive mapping of all possible pK a correlations between different solvents and it was validated by predicting the aqueous pK a and micro-pK a of pharmaceutical molecules and pK a values of organocatalysts in DMSO and MeCN with high accuracy.Anonline prediction platform was constructed based on the current model, which can providepK a prediction for different types of XÀHacidity in the most commonly used solvents.
Purpose The purpose of this study is to reconcile the positive, non-significant and even negative effects of guanxi on firm performance from two aspects. First, it explores the linear and curvilinear relationships between guanxi and distinct performance dimensions. Second, it examines the moderating effects of both exchange-related behavioral risk (reflected by contract enforcement in this study) and market-related environmental risk (reflected by market turbulence in this study) on the above relationship. Design/methodology/approach Based on data for 206 samples collected from distributors of house furnishings, computers and their components, a moderated regression is used to test the hypotheses. Findings The empirical test generally supports the conceptual model and demonstrates three findings. First, guanxi has a linear, positive effect on financial performance and an inverted U-shaped effect on strategic performance. Second, contract enforcement decreases the effect of guanxi on financial performance and enhances its effect on strategic performance. Third, market turbulence enhances the effect of guanxi on financial performance and weakens its effect on strategic performance. Research limitations/implications First, this study collects data only from China. Future studies should collect data from other emerging markets to allow for either model validation or cross-country comparisons. Second, the data come only from buyers, and suppliers’ viewpoints are not included. Third, in addition to contract enforcement and market turbulence, other important contingencies should be considered in the guanxi–performance link. Practical implications The results provide important implications for managers to manage guanxi in an emerging economy. Managers should be very clear about their primary goal (i.e. pursuing short-term financial revenue or long-term strategic targets); next, they should understand how to match guanxi with various levels of contract enforcement and market turbulence to achieve that goal. Originality/value First, prior research has documented guanxi’s role in channel relationships, but it has not achieved consistent conclusions. Second, although existing studies have analyzed the contingencies of guanxi at the firm level, market level and institutional level, another important contingency “the dyadic relationship condition” is rarely considered. Third, although the extant research has realized the value of guanxi contingent on various market conditions, conflicting views exist. This study contributes by addressing these issues.
Although the developmental maturation of cortical inhibitory synapses is known to be a critical factor in gating the onset of critical period (CP) for experience-dependent cortical plasticity, how synaptic transmission dynamics of other cortical synapses are regulated during the transition to CP remains unknown. Here, by systematically examining various intracortical synapses within layer 4 of the mouse visual cortex, we demonstrate that synaptic temporal dynamics of intracortical excitatory synapses on principal cells (PCs) and inhibitory parvalbumin- or somatostatin-expressing cells are selectively regulated before the CP onset, whereas those of intracortical inhibitory synapses and long-range thalamocortical excitatory synapses remain unchanged. This selective maturation of synaptic dynamics results from a ubiquitous reduction of presynaptic release and is dependent on visual experience. These findings provide an additional essential circuit mechanism for regulating CP timing in the developing visual cortex.
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