1,386 research outputs found
Development and initial tests of an urban comfort monitoring system
No full textThe paper presents a newly developed low-cost measurement system for outdoor
comfort monitoring. The solution is based on IoT (Internet of Things) technologies and is cloudconnected. The system is able to collect physical environment data, and includes a movable GPS
monitoring station as well as the subjective thermal sensation of pedestrians via a devoted app.
The cloud interface promptly elaborates the received data to calculate outdoor thermal comfort
indices such as UTCI (Universal Thermal Climate Index), MRT (mean radiant temperature), and
ET (effective temperature). The system is conceived for supporting both fixed and traveling
measurements, and to support correlation studies between monitored environmental variables
and personal comfort sensations to promote the local adaptation of comfort indices. Results from
early testing are also reported
sj-tiff-1-tag-10.1177_17562848241245455 – Supplemental material for In era of immunotherapy: the value of trastuzumab beyond progression in patients with trastuzumab-resistant HER2-positive advanced or metastatic gastric cancer
No full textSupplemental material, sj-tiff-1-tag-10.1177_17562848241245455 for In era of immunotherapy: the value of trastuzumab beyond progression in patients with trastuzumab-resistant HER2-positive advanced or metastatic gastric cancer by Hui Wang, Caiyun Nie, Weifeng Xu, Jing Li, He Gou, Huifang Lv, Beibei Chen, Jianzheng Wang, Yingjun Liu, Yunduan He, Jing Zhao and Xiaobing Chen in Therapeutic Advances in Gastroenterology</p
sj-docx-7-dhj-10.1177_20552076231203648 - Supplemental material for Systemic evaluation of the relationship between asthma and osteoarthritis: Evidence from a meta-analysis and Mendelian randomization study
No full textSupplemental material, sj-docx-7-dhj-10.1177_20552076231203648 for Systemic evaluation of the relationship between asthma and osteoarthritis: Evidence from a meta-analysis and Mendelian randomization study by Yaoyao Nie, Houpu Liu, Jing Wang, Ye Yang, Wenxia Zhao, Dingwan Chen and Yingjun Li in DIGITAL HEALTH</p
sj-docx-8-dhj-10.1177_20552076231203648 - Supplemental material for Systemic evaluation of the relationship between asthma and osteoarthritis: Evidence from a meta-analysis and Mendelian randomization study
No full textSupplemental material, sj-docx-8-dhj-10.1177_20552076231203648 for Systemic evaluation of the relationship between asthma and osteoarthritis: Evidence from a meta-analysis and Mendelian randomization study by Yaoyao Nie, Houpu Liu, Jing Wang, Ye Yang, Wenxia Zhao, Dingwan Chen and Yingjun Li in DIGITAL HEALTH</p
sj-pdf-1-imr-10.1177_03000605231187953 - Supplemental material for Mitofusin-2 gene polymorphisms and metabolic dysfunction associated fatty liver disease: a case-control study in a Chinese population
No full textSupplemental material, sj-pdf-1-imr-10.1177_03000605231187953 for Mitofusin-2 gene polymorphisms and metabolic dysfunction associated fatty liver disease: a case-control study in a Chinese population by Xiwei Yuan, Mengmeng Hou, Yiqi Wang, Siyu Zhang, Lu Li, Yingjun Mi, Huijuan Du, Songhao Yu and Yuemin Nan in Journal of International Medical Research</p
Acclimation to very-low CO2: Contribution of LCIB and LCIA to inorganic carbon uptake in Chlamydomonas reinhardtii
No full textThe limiting-CO2 inducible CO2 concentrating mechanism (CCM) of microalgae represents an effective strategy to capture CO2 when its availability is limited. At least two limiting-CO2 acclimation states, termed low CO2 and very-low CO2, have been demonstrated in the model microalga Chlamydomonas reinhardtii, and many questions still remain unanswered regarding both the regulation of these acclimation states and the molecular mechanism underlying operation of the CCM in these two states. This study examines the role of two proteins, LCIA (also named NAR1.2) and LCIB, in the CCM of C. reinhardtii. The identification of an LCIA-LCIB double mutant based on its inability to survive in very-low CO2 suggests that both LCIA and LCIB are critical for survival in very-low CO2. The contrasting impacts of individual mutations in LCIB and LCIA in comparison with the impacts of LCIB-LCIA double mutations on growth and Ci-dependent photosynthetic O2 evolution reveal distinct roles of LCIA and LCIB in the CCM. While both LCIA and LCIB are essential for very-low CO2 acclimation, LCIB appears to function in a CO2 uptake system, while LCIA appears to be associated with a HCO3- transport system. The contrasting and complementary roles of LCIA and LCIB in acclimation to low CO2 and very-low CO2 suggest a possible mechanism of differential regulation of the CCM based on the inhibition of HCO3- transporters by moderate to high levels of CO2.This manuscript is published as Wang, Yingjun, and Martin H. Spalding. "Acclimation to very-low CO2: contribution of LCIB and LCIA to inorganic carbon uptake in Chlamydomonas reinhardtii." Plant physiology (2014): pp-114. 10.1104/pp.114.248294 . Posted with permission.</p
Acclimation of Chlamydomonas to changing carbon availability
No full textAquatic organisms, including Chlamydomonas reinhardtii, are faced with a variable supply of dissolved inorganic carbon (Ci). Accordingly, C. reinhardtii has the ability to acclimate to the changing Ci supply through a variety of responses, including induction of a CO2 concentrating mechanism (CCM) when Ci is limiting. The CCM uses active Ci uptake to accumulate a high internal concentration of bicarbonate, which is dehydrated by a specific thylakoid carbonic anhydrase to supply CO2, the substrate used in photosynthesis. In addition to the changes demonstrably related to the function of the CCM, C. reinhardtii exhibits several other acclimation responses to limiting Ci, such as changes in cellular organization and induction or upregulation of several genes. A key area currently under investigation is how C. reinhardtii cells recognize the change in Ci or CO2 concentration, and transduce that signal into needed gene expression changes. Mutational analyses are proving very useful for learning more about the CCM and about the acclimation response to changes in Ci availability. Cloning of the gene disrupted in cia5, a mutant apparently unable to acclimate to limiting Ci, has opened opportunities for more rapid progress in understanding the signal transduction pathway. The Cia5 gene appears to encode a transcription factor that may control, either directly or indirectly, much of the gene expression responses to limiting Ci in C. reinhardtii. Several additional new mutants with potential defects in the signal transduction pathway have been isolated, including three new alleles of cia5.This article is published as Spalding, Martin H., Kyujung Van, Yingjun Wang, and Yoshiko Nakamura. "Acclimation of Chlamydomonas to changing carbon availability." Functional Plant Biology 29, no. 3 (2002): 221-230. 10.1071/PP01182. Posted with permission.</p
A Decision-Framework for Building Portfolios Towards Enhanced Resilience and Sustainability of Communities Under Natural Hazards
No full textIn recent years, communities in the U.S. and other countries have experienced several catastrophic natural hazards (e.g. Hurricane Katrina in 2005 and the Christchurch Earthquake in 2011). The unproportioned social, political impact and economic loss from these events and the fact that such events will continue to occur have highlighted the vulnerability of typical communities, and more importantly, emphasized the significance of considering the performance of communities as a whole under extreme natural and man-made events over a long-time horizon. The physical built environment and the decision-making on them plays a critical role in determining the extent to which the community will perform immediately after the hazard events, the recovery trajectory afterward as well as the long-term financial health, environmental protection, and prosperity. Some communities in the U.S. began or about to implement large-scale, community-level engineering strategies. However, such strategies generally suffer from lacking quantitative support. While some studies have been done to explore the large-scale decision-making, they might be not sufficient to address the problem systematically. A uniform decision support framework for various strategies across different stages of infrastructure systems must be developed.
This dissertation focuses on developing a risk-informed decision-making framework for building portfolios under the threat of natural hazards, with particular emphasis on exploring optimal strategies supporting the engineering enhancement measures in different stages of building portfolios over their lifetime. In this study, three categories of large-scale engineering strategies are discussed in depth: new construction, pre-hazard retrofitting, and post-hazard reconstruction that communities may adopt to enhance the performance of the residential building cluster, and thus the whole community in future hazards. Decision-making is explored under seismic and tornado hazards as examples and reveals that communities can and must make engineering decisions from the perspective of the resilience performance of communities and simultaneously consider the sustainability requirements (by employing the economic metric of life-cycle cost as an example). The study demonstrates that the resilience and sustainability goals could be achieved at the same time without compromising one or the other. The proposed decision-making framework could assist community leaders in designing mandatory/voluntary policies or financial incentives to let owners invest in an organized manner and collectively enable the community to achieve its pre-defined resilience and sustainability goals in the long-term
EVIDENCEMINER: Textual Evidence Discovery for Life Sciences
No full textTraditional search engines for life sciences (e.g., PubMed) are designed for document retrieval and do not allow direct retrieval of specific statements. Some of these statements may serve as textual evidence that is key to tasks such as hypothesis generation and new finding validation. We present EVIDENCEMINER, a web-based system that lets users query a natural language statement and automatically retrieves textual evidence from a background corpora for life sciences. EVIDENCEMINER is constructed in a completely automated way without any human effort for training data annotation. It is supported by novel data-driven methods for distantly supervised named entity recognition and open information extraction. The entities and patterns are pre-computed and indexed offline to support fast online evidence retrieval. The annotation results are also highlighted in the original document for better visualization. EVIDENCEMINER also includes analytic functionalities such as the most frequent entity and relation summarization. EVIDENCEMINER can help scientists uncover important research issues, leading to more effective research and more in-depth quantitative analysis. The system of EVIDENCEMINER is available at https://evidenceminer.firebaseapp.com/.This proceeding is published as Xuan Wang, Yingjun Guan, Weili Liu, Aabhas Chauhan, Enyi Jiang, Qi Li, David Liem, Dibakar Sigdel, John Caufield, Peipei Ping, and Jiawei Han. 2020. EVIDENCEMINER: Textual Evidence Discovery for Life Sciences. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 56–62, Online. Association for Computational Linguistics. doi:10.18653/v1/2020.acl-demos.8
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