122,630 research outputs found

    The Future of Sustainable Building Assessment Tools: A Case Study in Australia

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    Sustainability issues in built environment have attracted an increasingly level of attention from both the general public and the industry. As a result, a number of green building assessment tools have been developed such as the Leadership in Energy and Environmental Design (LEED) and the BRE Environmental Assessment Method (BREEAM), etc. This paper critically reviewed the assessment tools developed in Australian context, i.e. the Green Star rating tools developed by the Green Building Council of Australia. A particular focus is given to the recent developments of these assessment tools. The results showed that the office buildings take the biggest share of Green Star rated buildings. Similarly, sustainable building assessments seem to be more performance oriented which focuses on the operation stage of buildings. In addition, stakeholder engagement during the decision making process is encouraged. These findings provide useful references to the development of next generation of sustainable building assessment tools.Jian Zuo, Bo Xia, George Zillante, Zhenyu Zhaohttp://eprints.qut.edu.au/53440

    Analysis of voltage- and clock-scaling-induced timing errors in stochastic LDPC decoders

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    Low Density Parity Check (LDPC) decoders have an inherent capability of correcting the transmission errors that occur, when communicating over a hostile wireless channel. This capability allows LDPC-coded schemes to employ lower transmission energies than uncoded schemes, at the cost of introducing a significant processing energy consumption during LDPC decoding. Traditional energy-reduction techniques, such as voltage and clock scaling can be employed for reducing the LDPC decoder’s energy consumption. However, these techniques may induce timing errors, which can degrade the LDPC decoder’s error correction capability. Our previous work has demonstrated that in contrast to other types of LDPC decoders, stochastic decoders have an inherent tolerance to timing errors, allowing them to maintain a high error correction capability in clock- scaling scenarios. In this paper, we investigate this timing error tolerance in voltage-scaling scenarios, by extending our previous model of timing errors using extensive SPICE simulations. Furthermore, we use these SPICE simulations to characterize the processing energy consumption of stochastic LDPC decoders for the first time. We demonstrate that a modified stochastic LDPC decoder can operate at 0.8 V and a clock period of 915.11 ps, while maintaining the error correction capability of a conventional stochastic decoder operating at 1 V and a clock period of 1019.2 ps, offering a 36.7% reduction in processing energy consumption

    Author Correction: A shared neural basis underlying psychiatric comorbidity

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    Correction to: Nature Medicine. Published online 24 April 2023. In the version of this article initially published, the STRATIFY data also included cohort data from the ESTRA consortium, though this was not acknowledged in the author list and the section in Methods on the Stratify dataset. The Methods are now updated, and the author list is amended to combine the STRATIFY and ESTRA consortium names and to include the following authors: Marina Bobou, M. John Broulidakis, Betteke Maria van Noort, Zuo Zhang, Lauren Robinson, Nilakshi Vaidya, Jeanne Winterer, Yuning Zhang, Sinead King, Hervé Lemaître, Ulrike Schmidt, Julia Sinclair, Argyris Stringaris and Sylvane Desrivières. The STRATIFY and ESTRA consortia are now combined to list Marina Bobou, M. John Broulidakis, Betteke Maria van Noort, Zuo Zhang, Lauren Robinson, Nilakshi Vaidya, Jeanne Winterer, Yuning Zhang, Sinead King, Gareth J. Barker, Arun L. W. Bokde, Hervé Lemaître, Frauke Nees, Dimitri Papadopoulos Orfanos, Ulrike Schmidt, Julia Sinclair, Argyris Stringaris, Henrik Walter, Robert Whelan, Sylvane Desrivières and Gunter Schumann as members, and the IMAGEN consortium is updated to also include Sylvane Desrivières. Affiliations, author contributions and acknowledgements have been updated to reflect the new authorship, and all changes have been made in the HTML and PDF versions of the article

    Data for: Thermoelectric energy harvesting for nuclear spent fuel sensing and monitoring

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    S1: MCNP input file for gamma heating calculationS2: MCNP input file for the neutron heating calculationS3: Gamma heating resultS4: Fin optimizationS5: Temperature and flow environment information obtained for CFD simulationS6: Using oil to simulate the heliumS7: Experimental resul

    Cross-layer aided routing design for ad hoc networks

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    In this thesis, we propose a series of cross-layer aided routing algorithms for ad hoc networks by jointly exploiting the characteristics of the physical layer, of the data link layer and of the network layer, for the sake of improving the network's throughput, while reducing the normalized energy consumption. Since the node mobility in dynamic self organizing ad hoc networks may render the routing information gathered during the route discovery process invalid and hence may disrupt the current data transmission, a fuzzy logic aided technique is incorporated into the routing algorithm for mitigating the influence of imprecise routing information. Both the expected route life time and the number of hops are used as the input parameters of the Fuzzy Logic System (FLS), which outputs the 'stability' of a route. Hence, the specific route having the highest route 'stability' is finally selected for data transmission. The proposed fuzzy logic based routing outperforms the conventional Dynamic Source Routing (DSR) in terms of the attainable network throughput. Moreover, since near-capacity channel coding aided Multiple Input Multiple- Output (MIMO) schemes allow a single link to communicate using the lowest possible transmit power at a given Frame Error Rate (FER), multi antenna aided routing was proposed for reducing the system's total energy consumption, which relied on a three-stage concatenated transceiver constituted by an Irregular Convolutional Code, Unity-Rate Code and Space-Time Trellis Code (IrCC-URC-STTC) equipped with two antennas. It is demonstrated that in a high-node-density scenario the average energy consumption per information bit and per node becomes about a factor two lower than that in the equivalent Single-Antenna Relay Node (SA-RNs) aided networks. Finally, we further exploit the benefits of cross-layer information exchange, including the knowledge of the FER in the physical layer, the maximum number of retransmissions in the data link layer and the number of RNs in the network layer. Energy-consumption-based Objective Functions (OF) are invoked for calculating the end-to-end energy consumption of each potentially available route for both Traditional Routing (TR) and for Opportunistic Routing (OR), respectively. We also improve the TR and the OR with the aid of efficient Power Allocation (PA) for further reducing the energy consumption. Moreover, two energy-efficient routing algorithms are designed based on Dijkstra's algorithm. The algorithms based on the energy-consumption OF provide the theoretical bounds, which are shown to be close to the bound found by exhaustive search, despite the significantly reduced complexity of the former. Finally, the end-to-end throughput and the end-to-end delay of this system are analyzed theoretically. The simulation results show that our energy-efficient OR outperforms the TR and that their theoretical analysis accurately matches the simulation results

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Can virtual water trade save water resources?

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    At times, certain areas of China suffering from water shortages. While China’s government is spurring innovation and infrastructure to help head off such problems, it may be that some water conservation could help as well. It is well-known that water is embodied in traded goods—so called “virtual water trade” (VWT). In China, it seems that many water-poor areas are perversely engaged in VWT. Further, China is also engaging on the global trend of fragmentation in production, even as an interregional phenomenon. It seems some implications could be learned about conserving or reducing VWT, if we knew where and how it is practiced. From those implications, perhaps policies could be formulated. We employ China’s multiregional input-output tables straddling two periods to trace the trade of a given region’s three types of goods: local final goods, local intermediate goods, and goods that shipped to other regions and countries. We find that goods traded interregionally in China in 2012 embodied 30.4% of all water used nationwide. Nationwide, water use increased substantially over 2007-2012 due to greater shipment volumes of water-intensive products. In fact, as suspected, the rise in value chain-related trade was a major overall contributing factor. Coastal areas tended to be net receivers of VTW from interior provinces, although reasons differed, e.g. Shanghai received more to fulfill its final demand and Zhejiang for its value-chain related trade. In sum, the variety of our findings reveals an urgent need to consider trade types and water scarcity when developing water resource allocation and conservation policies.Peer reviewe

    Modified Zuo Gui Wan Ameliorates Ovariectomy-Induced Osteoporosis in Rats by Regulating the SCFA-GPR41-p38MAPK Signaling Pathway

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    Changheng Song,1,2,* Qiqi Yan,1,* Yujie Ma,3 Pei Li,1 Ying Yang,1 Yuhan Wang,1 Wenjie Li,1 Xinyu Wan,1 Yubo Li,1 Ruyuan Zhu,1 Haixia Liu,1 Zhiguo Zhang1 1Institute of Basic Theory for Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, People’s Republic of China; 2Department of Endocrinology, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, People’s Republic of China; 3Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, People’s Republic of China*These authors contributed equally to this workCorrespondence: Haixia Liu; Zhiguo Zhang, Institute of Basic Theory for Chinese Medicine, China Academy of Chinese Medical Sciences, No. 16, DongzhimenNei Nanxiaojie Street, Dongcheng District, Beijing, 100700, People’s Republic of China, Email [email protected]; [email protected]: Modified Zuo Gui Wan (MZGW) was a combination of Zuo Gui Wan and red yeast rice used for treating osteoporosis (OP), but its mechanism remains unclear. We aimed to validate the anti-OP effect of MZGW and explore its underlying mechanism.Methods: An ovariectomy (OVX) rat model in vivo and a RANKL-induced osteoclasts (OCs) model in vitro were established. Key active ingredients in MZGW high dose (MZGW-H) group were detected by UPLC-MS/MS. Micro-CT scans and histomorphology analysis were performed in OVX rats. 16S rRNA gene sequencing was performed to investigate the relationship between the anti-OP effect of MZGW-H and intestinal flora. CCK-8 assay was applied to examine the optimal concentration of Modified Zuo Gui Wan drug serum (MZGW-DS) on osteoclasts. The qRT-PCR and Western blotting were utilized to explore the potential anti-OP pathway of MZGW, namely the SCFA-GPR41-p38MAPK signaling pathway. GPR41 was knocked down to further reverse to verify whether the pathway was the key pathway for MZGW-DS to exert its inhibitory effect on osteoclasts.Results: The three main blood components, Ferulic acid, L-Ascorbic acid and Riboflavin, were examined mainly by UPLC-MS/MS. 16S rRNA gene sequencing showed that MZGW-H changed the metabolism of SCFAs. In vivo studies verified that MZGW-H ameliorated microstructure damage, improved histological changes and reduced TRAP, BALP, and BGP in OVX rats by regulating the SCFA-GPR41-p38MAPK signaling pathway. CCK-8 revealed that 5% MZGW-DS group was the most optimal concentration of MZGW-DS to inhibit osteoclast differentiation. In vitro, MZGW-DS was better than peripheral blood concentration of SCFAs in inhibiting osteoclasts. After the knockout of GPR41, MZGW-DS could not inhibit the expression of osteoclast-related protein (CTSK and NFATc1) via SCFA-GPR41-p38MAPK signaling pathway.Conclusion: MZGW-H effectively ameliorates OVX-induced osteoporosis partially achieved by increasing SCFAs metabolism and modulating the SCFA-GPR41-p38MAPK signaling pathway. Keywords: osteoporosis, short chain fatty acids, SCFA-GPR41-p38MAPK signaling pathway, osteoclasts, modified Zuo Gui Wa
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