TEACHERS’ BELIEFS AND PRACTICES OF SCAFFOLDING STUDENTS’ PARAGRAPH WRITING THROUGH MIND-MAPPING AT PRE-WRITING STAGE

Scaffolding is considered as a kind of support assisting students in completing language learning tasks. Research into mind-mapping, a type of graphic organizer, has indicated its role as a scaffolding strategy in teaching English. This paper reports a descriptive study examining teachers’ beliefs and practices of using mind-mapping to scaffold students’ paragraph writing at pre-writing stage. The data discussed in this paper include questionnaires and observations with eighty-four teachers of English as a foreign language. The findings of the research reveal teachers’ positive beliefs about mind-mapping and their practices of mind-mapping to scaffold students’ paragraph writing. Pedagogical implications for teachers and students are presented.  Article visualizations

The urine albumin-to-creatinine ratio is a reliable indicator for evaluating complications of chronic kidney disease and progression in IgA nephropathy in China

OBJECTIVE: This study investigated the correlation between the albumin-to-creatinine ratio in the urine and 24-hour urine proteinuria and whether the ratio can predict chronic kidney disease progression even more reliably than 24-hour proteinuria can, particularly in primary IgA nephropathy. METHODS: A total of 182 patients with primary IgA nephropathy were evaluated. Their mean urine albumin-to-creatinine ratio and 24-hour proteinuria were determined during hospitalization. Blood samples were also analyzed. Follow-up data were recorded for 44 patients. A cross-sectional study was then conducted to test the correlation between these parameters and their associations with chronic kidney disease complications. Subsequently, a canonical correlation analysis was employed to assess the correlation between baseline proteinuria and parameters of the Oxford classification. Finally, a prospective observational study was performed to evaluate the association between proteinuria and clinical outcomes. Our study is registered in the Chinese Clinical Trial Registry, and the registration number is ChiCTR-OCH-14005137. RESULTS: A strong correlation (r=0.81,

Options and Evaluations on Propulsion Systems of LNG Carriers

The LNG carriers are undergoing a period of rapid and profound change, with much larger size ships and novel propulsion systems emerging for fulfilling the market trends of LNG shipping industry. There are various proposed propulsion solutions for LNG carriers, ranging from the conventional steam turbine and dual fuel diesel electric propulsion, until more innovative ideas such as slow speed dual fuel diesel engine, combined gas turbine electric & steam system, and hybrid propulsion based on steam turbine and gas engine. Since propulsion system significantly influenced the ship’s capital, emission regulation compliance and navigation safety, the selection of a proper propulsion option with technical feasibility and economic viability for LNG carriers is currently a major concern from the shipping industry and thus must be comprehensively assessed. In this context, this chapter investigated the main characteristics of these propulsion options in terms of BOG treatment, fuel consumption, emission standards compliance, and plant reliability. Furthermore, comparisons among different propulsion system were also carried out and related evaluation was presented

LayoutMask: Enhance Text-Layout Interaction in Multi-modal Pre-training for Document Understanding

Visually-rich Document Understanding (VrDU) has attracted much research attention over the past years. Pre-trained models on a large number of document images with transformer-based backbones have led to significant performance gains in this field. The major challenge is how to fusion the different modalities (text, layout, and image) of the documents in a unified model with different pre-training tasks. This paper focuses on improving text-layout interactions and proposes a novel multi-modal pre-training model, LayoutMask. LayoutMask uses local 1D position, instead of global 1D position, as layout input and has two pre-training objectives: (1) Masked Language Modeling: predicting masked tokens with two novel masking strategies; (2) Masked Position Modeling: predicting masked 2D positions to improve layout representation learning. LayoutMask can enhance the interactions between text and layout modalities in a unified model and produce adaptive and robust multi-modal representations for downstream tasks. Experimental results show that our proposed method can achieve state-of-the-art results on a wide variety of VrDU problems, including form understanding, receipt understanding, and document image classification.Comment: Accepted by ACL 2023 main conferenc

Cross-layer topology design for network coding based wireless multicasting

This paper considers wireless multicast networks where network coding (NC) is applied to improve network throughput. A novel joint topology and cross-layer design is proposed to miximize the network throughput subject to various quality-of-service constraints, such as: wireless multicast rate, wireless link capacity, energy supply and network lifetime. Specifically, a heuristic NC-based link-controlled routing tree algorithm is developed to reduce the number of required intermediate nodes. The proposed algorithm facilitates the optimization of the wireless multicast rate, data flow of wireless links, energy supply and lifetime of nodes through a novel cross-layer design. The proposed joint topology and cross-layer design is evaluated and compared against other schemes from the literature. The results show that the proposed scheme can achieve up to 50% increase in the system throughput when compared to a classic approach

Cross-layer optimisation for topology design of wireless multicast networks via network coding

One of the main challenges towards reliable multicast transmissions over wireless networks is the dynamics of the wireless links (e.g. wireless errors, fading, interference, collisions, etc.) that can cause retransmissions overhead over the limited available bandwidth. To this end this paper considers the scenario of wireless multicast networks where network coding is applied to improve network throughput. We first propose a novel cross-layer optimisation framework for network topology design in order to optimise the wireless multicast rate, data flow of the wireless links, energy supply and node lifetime. The performance of the proposed solution is evaluated and compared against other solutions from the literature in terms of system throughput, total energy, and network lifetime. The results show that the proposed cross-layer design outperforms the other schemes involved, reaching up to 50% increase in the system throughput

Cloning and characterization of squalene synthase and cycloartenol synthase from Siraitia grosvenorii

AbstractMogrosides and steroid saponins are tetracyclic triterpenoids found in Siraitia grosvenorii. Squalene synthase (SQS) and cycloartenol synthase (CAS) are key enzymes in triterpenoid and steroid biosynthesis. In this study, full-length cDNAs of SgSQS and SgCAS were cloned by a rapid amplification of cDNA-ends with polymerase chain reaction (RACE-PCR) approach. The SgSQS cDNA has a 1254bp open reading frame (ORF) encoding 417 amino acids, and the SgCAS cDNA contains a 2298bp ORF encoding 765 amino acids. Bioinformatic analysis showed that the deduced SgSQS protein has two transmembrane regions in the C-terminal. Both SgSQS and SgCAS have significantly higher levels in fruits than in other tissues, suggesting that steroids and mogrosides are competitors for the same precursors in fruits. Combined in silico prediction and subcellular localization, experiments in tobacco indicated that SgSQS was probably in the cytoplasm or on the cytoskeleton, and SgCAS was likely located in the nucleus or cytosol. These results will provide a foundation for further study of SgSQS and SgCAS gene functions in S. grosvenorii, and may facilitate improvements in mogroside content in fruit by regulating gene expression

On the energy-delay tradeoff and relay positioning of wireless butterfly networks

This paper considers energy-delay tradeoff (EDT) of data transmission in wireless network coded butterfly networks (WNCBNs) where two sources convey their data to two destinations with the assistance of a relay employing either physical-layer network coding (PNC) or analog network coding (ANC). Hybrid automatic repeat request with incremental redundancy (HARQIR) is applied for a reliable communication. Particularly, we first investigate the EDT of both PNC and ANC schemes in WNCBNs to evaluate their energy efficiency. It is found that there is no advantage of using a relay in a high power regime. However, in a low power regime, the PNC scheme is shown to be more energy efficient than both the ANC and direct transmission (DT) schemes if the relay is located far from the sources, while both the PNC and ANC schemes are less energy efficient than the DT scheme when the relay is located near the sources. Additionally, algorithms that optimise relay positioning are developed based on two criteria - minimising total transmission delays and minimising total energy consumption subject to node location and power allocation constraints. This optimisation can be considered as a benchmark for relay positioning in either a low-latency or a low-energy-consumption WNCBN

An Efficient Architecture of Forward Transforms and Quantization for H.264/AVC Codecs

Thanks to many novel coding tools, H.264/AVC has become the most efficient video compression standard providing much better performance than previous standards. However, this standard comes with an extraordinary computational complexity and a huge memory access requirement, which make the hardware architecture design much more difficult and costly, especially for realtime applications. In the framework of H.264 codec hardware architecture project, this paper presents an efficient architecture of Forward Transform and Quantization (FTQ) for H.264/AVC codecs in mobile applications. To reduce the hardware implementation overhead, the proposed design uses only one unified architecture of 1-D transform engine to perform all required transform processes, including discrete cosine transform and Walsh Hadamard transform. This design also enables to share the common parts among multipliers that have the same multiplicands. The performance of the design is taken into consideration and improved by using a fast architecture of the multiplier in the quantizer, the most critical component in the design. Experimental results show that our architecture can completely finish transform and quantization processes for a 4:2:0 macroblock in 228 clock cycles and the achieved throughput is 445Msamples/s at 250MHz operating frequency while the area overhead is very small, 147755μm2 (approximate 15KGates), with the 130nm TSMC CMOS technology