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The growing environmental difficulties triggered by enterprises' activities have drawn academics and development experts' attention to mechanisms to advance growth and development without compromising the environment. Discussions about eco-innovation have become topical as a result, yet there still remains a dearth of understanding on the subject. Eco-innovation emphasises the duality of technological innovation and environmental protection as long-term solutions to the inherent tensions between these goals. Despite this, there has been little research on methods to improve eco-innovation performance, taking into account internal and external factors. Cognizant of the external environment's dynamics, this study, based on institutional theory, investigates how institutional pressure affects eco-innovation. We used a cross-sectional survey approach to draw data from 155 businesses. Results revealed institutional pressures, that is, normative, mimetic, and coercive, also environmental complexity (EC) has a positive role in promoting eco-innovation. While environmental dynamics was found to have a positive moderating effect on the relationship between normative pressure and eco-innovation, EC was revealed to have a moderating influence on the relationship between mimetic, normative pressure, and eco-innovation. In light of these seminal findings that have received little research attention, we propose policy, theoretical, and practical implications. [ABSTRACT FROM AUTHOR]

During development, neural progenitors undergo temporal patterning as they age to sequentially generate differently fated progeny. Temporal patterning of neural progenitors is relatively well-studied in Drosophila. Temporal cascades of transcription factors or opposing temporal gradients of RNA-binding proteins are expressed in neural progenitors as they age to control the fates of the progeny. The temporal progression is mostly driven by intrinsic mechanisms including cross-regulations between temporal genes, but environmental cues also play important roles in certain transitions. Vertebrate neural progenitors demonstrate greater plasticity in response to extrinsic cues. Recent studies suggest that vertebrate neural progenitors are also temporally patterned by a combination of transcriptional and post-transcriptional mechanisms in response to extracellular signaling to regulate neural fate specification. In this review, we summarize recent advances in the study of temporal patterning of neural progenitors in Drosophila and vertebrates. We also discuss the involvement of epigenetic mechanisms, specifically the Polycomb group complexes and ATP-dependent chromatin remodeling complexes, in the temporal patterning of neural progenitors. [Display omitted] • TTF cascades and gradients of RNA-binding proteins regulate temporal patterning in Drosophila neuroblasts. • Vertebrate neural progenitors also undergo temporal patterning. • Single-cell RNA-sequencing is a powerful tool to study temporal patterning. • Chromatin modifiers and remodelers regulate temporal patterning of neural progenitors. [ABSTRACT FROM AUTHOR]

The main sources of regional innovation investment in China are government direct investment and indirect grant. The positive relationship between innovation investment and regional innovation performance has been recognized by scholars, but the relationship between direct investment, indirect grant, and innovation performance and the mechanism of their impact on innovation performance need to be clarified. This study uses 5‐year data from China regional innovation, using multiple regression analysis, found that government grant and actor's investment can facilitate performance, but the government grant for innovation investment has a crowding‐out effect, absorptive capacity positively moderated the relationship between Research and Development (R&D) and innovation performance but play a negative moderate role between government grant and innovation performance. On the basis of the empirical result, China's regional governments need to focus on institutional and environmental development in the future, pay more attention to the structural problems of innovation input, promote flow of talents orderly, and rationally build regional knowledge chain, so as to enhance efficiency of innovation more effectively. [ABSTRACT FROM AUTHOR]

Proper neural function depends on the correct specification of individual neural fates, controlled by combinations of neuronal transcription factors. Different neural types are sequentially generated by neural progenitors in a defined order, and this temporal patterning process can be controlled by Temporal Transcription Factors (TTFs) that form temporal cascades in neural progenitors. The Drosophila medulla, part of the visual processing center of the brain, contains more than 70 neural types generated by medulla neuroblasts which sequentially express several TTFs, including Homothorax (Hth), eyeless (Ey), Sloppy paired 1 and 2 (Slp), Dichaete (D) and Tailless (Tll). However, it is not clear how such a small number of TTFs could give rise to diverse combinations of neuronal transcription factors that specify a large number of medulla neuron types. Here we report how temporal patterning specifies one neural type, the T1 neuron. We show that the T1 neuron is the only medulla neuron type that expresses the combination of three transcription factors Ocelliless (Oc or Otd), Sox102F and Ets65A. Using CRISPR-Cas9 system, we show that each transcription factor is required for the correct morphogenesis of T1 neurons. Interestingly, Oc, Sox102F and Ets65A initiate expression in neurons beginning at different temporal stages and last in a few subsequent temporal stages. Oc expressing neurons are generated in the Ey, Slp and D stages; Sox102F expressing neurons are produced in the Slp and D stages; while Ets65A is expressed in subsets of medulla neurons born in the D and later stages. The TTF Ey, Slp or D is required to initiate the expression of Oc, Sox102F or Ets65A in neurons, respectively. Thus, the neurons expressing all three transcription factors are born in the D stage and become T1 neurons. In neurons where the three transcription factors do not overlap, each of the three transcription factors can act in combination with other neuronal transcription factors to specify different neural fates. We show that this way of expression regulation of neuronal transcription factors by temporal patterning can generate more possible combinations of transcription factors in neural progeny to diversify neural fates. • A combination of three transcription factors controls T1 neuron morphogenesis. • Temporal Transcription Factors in neuroblasts control expression of neuronal TFs. • Temporal progression of neuroblasts generates different transcription factor codes. [ABSTRACT FROM AUTHOR]