Identification and Profiling of MicroRNAs from Skeletal Muscle of the Common Carp

The common carp is one of the most important cultivated species in the world of freshwater aquaculture. The cultivation of this species is particularly productive due to its high skeletal muscle mass; however, the molecular mechanisms of skeletal muscle development in the common carp remain unknown. It has been shown that a class of non-coding ∼22 nucleotide RNAs called microRNAs (miRNAs) play important roles in vertebrate development. They regulate gene expression through sequence-specific interactions with the 3′ untranslated regions (UTRs) of target mRNAs and thereby cause translational repression or mRNA destabilization. Intriguingly, the role of miRNAs in the skeletal muscle development of the common carp remains unknown. In this study, a small-RNA cDNA library was constructed from the skeletal muscle of the common carp, and Solexa sequencing technology was used to perform high throughput sequencing of the library. Subsequent bioinformatics analysis identified 188 conserved miRNAs and 7 novel miRNAs in the carp skeletal muscle. The miRNA expression profiling showed that, miR-1, miR-133a-3p, and miR-206 were specifically expressed in muscle-containing organs, and that miR-1, miR-21, miR-26a, miR-27a, miR-133a-3p, miR-206, miR-214 and miR-222 were differentially expressed in the process of skeletal muscle development of the common carp. This study provides a first identification and profiling of miRNAs related to the muscle biology of the common carp. Their identification could provide clues leading towards a better understanding of the molecular mechanisms of carp skeletal muscle development

Implementation and Effects of Pedagogical Translanguaging in EFL Classrooms: A Systematic Review

In response to calls for more research to assess the effects of translanguaging on substantive learning outcomes, this systematic review begins that process by synthesising existing research on pedagogical translanguaging approaches that have been formally assessed for effectiveness in English as a Foreign Language (EFL) classrooms. A systematic process of searching and selecting the literature found 10 eligible studies. Data were extracted for narrative synthesis and quality appraisal. Results showed that pedagogical translanguaging was most frequently used to teach reading and writing rather than other domains. Five studies favoured translanguaging over English-only approaches, four of which were rated as having a high risk of bias. The remaining studies either detected no statistically significant differences between these approaches or favoured translanguaging in a small number of highly specific measures. We conclude that pedagogical translanguaging may be helpful in teaching in some circumstances, but that the low methodological quality of the literature on average makes it difficult to draw firm causal inferences. This systematic review provides the relevant background on what is already known about the effects of pedagogical translanguaging in EFL contexts to inform the work of researchers wishing to act on recommendations for more intervention research to establish the effects of the approach on English language outcomes

Investigation on the Screening Model of Chemical Hazards Based on the Risk of Domino Effect and Terrorist Attack

The heavy losses are often caused in modern chemical plants at the time of the accident. In order to prevent accidents, the screening and identification of hazards is needed. In this paper, the screening model of hazards in chemical plants was studied under the domino effect and the risk of terrorist attack. According to the threshold and strength of the domino effect of the unit under the main accident scenarios, the index of domino effect was developed. The risk index of terrorist attacks was determined in line with the distance between the unit and the boundary under the assumption of terrorist attacks. The hazards screening model Z was designed based on two aspects of the study. The model was applied in screening the hazards. The results showed that closer units near the border were more dangerous under the risk of terrorist attack, and the devices surrounded by units with greater influence of accidents were more dangerous under the risk of domino effect. The indices of the tanks were ordered: Z105>Z101>Z103>Z106>Z104>Z102>Z201>Z202>Z203>Z204>Z205>Z206>Z303>Z304>Z301>Z302>Z306>Z305. The domino effect and the risk of terrorist attacks were combined into the present model for perfection and correction of the existing hazards screening model, as the new basis for major hazards identification

Constructing Continuous Proton-Conducting Highways within Sulfonated Poly(Arylene Ether Nitrile) Composite Membrane by Incorporating Amino-Sulfo-Bifunctionalized GO

To obtain a proton exchange membrane (PEM) with high proton conductivity and low methanol permeability, a novel amino-sulfo-bifunctionalized GO (NSGO) was synthesized and explored as a filler for sulfonated poly(arylene ether nitrile) (SPEN). The result indicated that the microstructure of composite membranes was rearranged by NSGO and strong acid–base interactions were formed between fillers and the SPEN matrix, affording enhanced thermal, mechanical, and dimensional stabilities. Moreover, it was found that NSGO fillers were uniformly dispersed in the SPEN matrix, generating efficient proton-conducting paths along the SPEN/NSGO interface. Meanwhile, the sulfonic and amino groups of NSGO served as additional proton hopping sites to connect the ionic clusters in the SPEN matrix, creating interconnected and long-range ionic pathways. In such a way, proton-conducting highways with low energy barriers are constructed, which enhance the proton conductivity of the composite membranes via the Grotthuss mechanism. Furthermore, the composite membranes also effectively prevent methanol permeation, and therefore high selectivity (the ratio of proton conductivity and methanol permeability) is endowed. Compared to SPEN membrane, a 3.6-fold increase in selectivity is obtained for the optimal composite membrane. This study will provide a new strategy for the preparation of high-performance PEM

The ancient dispersal of millets in southern China: New archaeological evidence

This study presents the first direct evidence of millet cultivation in Neolithic southeast coastal China. Macroscopic plant remains and phytoliths, together with direct accelerator mass spectrometry (AMS) radiocarbon dates on crops, have shown that both foxtail millet and broomcorn millet were cultivated with rice in the Huangguashan and Pingfengshan sites in Fujian province around 4000–3500 cal. BP. Ratios of different parts of crop remains revealed that crop processing activities such as dehusking and sieving were conducted within the site and thus demonstrated the local production of these crops. The new data, especially the discovery of foxtail millet and broomcorn millet, have greatly changed the current knowledge about the ancient distribution of millet in South China and have now identified southeast China among the potential source-region of Neolithic crops transported overseas to Taiwan and Island Southeast Asia. This study further draws a potential dispersal route of Austronesian languages and people from southern China through Taiwan throughout Southeast Asia

Enhanced Dual–Vector Model Predictive Control for PMSM Drives Using the Optimal Vector Selection Principle

The Dual–Vector model predictive control (DV–MPC) method can improve the steady–state control performance of motor drives compared to using the single–vector method in one switching cycle. However, this performance enhancement generally increases the computational burden due to the exponential increase in the number of vector selections, lowering the system’s dynamic response. Alternatively, limiting the vector combinations will sacrifice system steady–state performance. To address this issue, this paper proposes an enhanced DV–MPC method that can determine the optimal vector combinations along with their duration time within minimized calculation times. Compared to the existing DV–MPC methods, the proposed enhanced technique can achieve excellent steady–state performance while maintaining a low computational burden. These benefits have been demonstrated in the results from a 2.5k rpm permanent magnet synchronous motor drive