3,576 research outputs found
In vitro activities of tigecycline, ertapenem, isepamicin, and other antimicrobial agents against clinically isolated organisms in Taiwan
No full textImprovement of Field Emission Characteristics of Carbon Nanotubes by Excimer Laser Treatment
No full textSupplemental Material, AD-short - Dealing With Death Taboo: Discussion of Do-Not-Resuscitate Directives With Chinese Patients With Noncancer Life-Limiting Illnesses
No full textSupplemental Material, AD-short for Dealing With Death Taboo: Discussion of Do-Not-Resuscitate Directives With Chinese Patients With Noncancer Life-Limiting Illnesses by Hon-Wai Benjamin Cheng, Pui-Shan Karen Shek, Ching-Wah Man, Oi-Man Chan, Chun-Hung Chan, Kit-Man Lai, Suk-Ching Cheng, Koon-Sim Fung, WK Lui, Carman Lam, Yuen-Kwan Ng, Wan-To Wong, and Cherry Wong in American Journal of Hospice and Palliative Medicine®</p
Supplemental Material, AD-long - Dealing With Death Taboo: Discussion of Do-Not-Resuscitate Directives With Chinese Patients With Noncancer Life-Limiting Illnesses
No full textSupplemental Material, AD-long for Dealing With Death Taboo: Discussion of Do-Not-Resuscitate Directives With Chinese Patients With Noncancer Life-Limiting Illnesses by Hon-Wai Benjamin Cheng, Pui-Shan Karen Shek, Ching-Wah Man, Oi-Man Chan, Chun-Hung Chan, Kit-Man Lai, Suk-Ching Cheng, Koon-Sim Fung, WK Lui, Carman Lam, Yuen-Kwan Ng, Wan-To Wong, and Cherry Wong in American Journal of Hospice and Palliative Medicine®</p
Rainbow Connection Numbers of WK-Recursive Networks and WK-Recursive Pyramids
No full textAn edge coloring of a graph G results in G being rainbow connected when every pair of vertices is linked by a rainbow path. Such a path is defined as one where each edge possesses a distinct color. A rainbow coloring refers to an edge coloring that guarantees the rainbow connectedness of G. The rainbow connection number of G represents the smallest quantity of colors required to achieve rainbow connectedness under a rainbow coloring scheme. Wang and Hsu (ICICM 2019: 75–79) provided upper bounds on the size of the rainbow connection numbers in WK-recursive networks WKd,t and WK-recursive pyramids WKPd,n. In this paper, we revise their results and determine the exact values of the rainbow connection numbers of WKd,2 for d=3 and 4. The rainbow connection numbers of WKd,2 are bounded between 4 and ⌊d2⌋+2 for d>4. In addition to our previous findings, we further investigate and determine upper bounds for the size of the rainbow connection numbers of WKPd,n. This involves analyzing various aspects of the graph structure and exploring potential limitations on the rainbow connection numbers. By establishing these upper bounds, we gain deeper insights into the potential range and constraints of the rainbow connection numbers within the given context
High-efficiency poly(phenylenevinylene)-co-fluorene copolymers incorporating a triphenylamine as the end group for white-light-emitting diode applications
No full textData-driven insights into ESG dynamics and transportation systems
No full textIn an era where Environmental, Social, and Governance (ESG) considerations are increasingly paramount and the digitization of industries accelerates, this thesis pi- oneers an exploration of the confluence between ESG metrics and Big Railway Data analytics. By weaving together these ostensibly disparate strands, the research uncov- ers a rich tapestry of data-driven insights and predictive models that serve to bridge the gap between corporate sustainability efforts and operational efficiency in the railway sector.
The first topic delves into the world of ESG scores, an area that has historically re- ceived limited attention due to disagreements among ESG rating agencies and varying perceptions of ESG performance among investors. This research is pivotal, as it fills a significant gap in our understanding of how ESG factors influence corporate practices and financial outcomes. Through a combination of theoretical predictions and em- pirical research, it uncovers the hidden relationships between ESG performance and corporate outcomes. High ESG scores are revealed to be inversely correlated with the likelihood of ESG-related scandals and stock returns during such events. The results also illuminate the heterogeneity of ESG scores and their dual-edged nature, high- lighting the potential for both positive and negative consequences associated with a strong ESG reputation. Moreover, a novel model emerges, illustrating how firms grap-ple with an optimization problem when determining their optimal level of ESG invest- ment. This model posits the existence of two equilibria shaped by the delicate balance between ESG scandal loss and ESG adjustment cost, providing insight into why some firms make divergent ESG decisions.
The second topic of the thesis transitions from the theoretical exploration of ESG scores to a practical application in the railway industry. It presents a detailed case study of the Mass Transit Railway (MTR) Corporation’s use of artificial intelligence (AI) to enhance its ESG profile. By implementing a sophisticated AI model known as a-LSTM, which combines Long Short-Term Memory networks with attention mecha- nisms, MTR has significantly improved its journey time predictions. This improvement has led to a reduction in carbon emissions and passenger waiting times, showcasing the practical benefits of integrating Big Data and AI technologies in enhancing operational efficiency and achieving ESG goals.
Through this comprehensive study, the thesis illustrates the importance of a data- driven approach in addressing ESG challenges and operational efficiencies. It provides valuable insights into how the analysis of ESG scores can inform strategic corporate decisions and demonstrates the potential of AI and Big Data in improving sustain- ability outcomes in the transportation sector. By bridging the gap between these two seemingly disparate domains, this research contributes to a deeper understanding of the role of data analysis in advancing both corporate sustainability and operational excellence.published_or_final_versionComputer ScienceDoctoralDoctor of Philosoph
Behavior during transition differs for cows diagnosed with claw horn lesions in mid lactation
No full textClaw horn lesions, including sole hemorrhages and sole ulcers, are a major cause of lameness in dairy cattle. These lesions often develop in the weeks around calving and become visible 8 to 12 wk later. The aim was to determine whether cows that are diagnosed with claw horn lesions several weeks after calving behave differently during the calving period when the lesions are thought to first develop. The claws of 26 multiparous Holstein dairy cows were scored for sole hemorrhage severity and presence of sole ulcers 2 wk before calving, 3 wk after calving, and every 4 wk thereafter until 15 wk after calving. Of the 26 cows, 13 cows had no or low lesion scores up to 15 wk and 13 cows had at least 1 new severe lesion or sole ulcer diagnosed between 7 and 15 wk after calving. Behavior (dry matter intake, feeding time and rate, number and size of meals, standing time, number and duration of standing bouts, location of standing, and displacements at the feed bunk) was recorded from 2 wk before calving to 3 wk after calving. Behavior during the 2 wk before calving, first 24h after calving, 1 wk after calving, and 2 to 3 wk after calving was compared between cows with and without lesions in mid lactation. Multivariate regression was used to determine the predictive value of each behavior and combination of behaviors on lesion diagnosis. Cows diagnosed with lesions in mid lactation spent more time standing than cows without lesions during the 2 wk before (832+/-29 vs. 711+/-29 min/d) and 24 h after (935+/-46 vs. 693+/-46 min/d) calving. These differences were driven by an increase in the time spent perching with front feet in the stall (241+/-22 vs. 147+/-22 min/d at 2 wk before calving) and an increase in standing bout duration (101+/-10 vs. 56+/-10 min/bout at 24 h after calving). Compared with cows without lesions, cows with lesions consumed feed at a faster rate (86+/-3 vs. 77+/-3 g/min) during the 2 wk before calving and consumed more feed (17.9+/-0.9 vs. 12.3+/-0.9 kg/d) during the 24 h after calving. The number of displacements at the feeder was not different between groups. These results indicate that a combination of feeding and standing behavior during the transition can serve as early indicators of claw horn lesions in mid lactation
On co-authorship for author disambiguation
No full textAuthor name disambiguation deals with clustering the same-name authors into different individuals. To attack the problem, many studies have employed a variety of disambiguation features such as coauthors, titles of papers/publications, topics of articles, emails/affiliations, etc. Among these, co-authorship is the most easily accessible and influential, since inter-person acquaintances represented by co-authorship could discriminate the identities of authors more clearly than other features. This study attempts to explore the net effects of co-authorship on author clustering in bibliographic data. First, to handle the shortage of explicit coauthors listed in known citations, a web-assisted technique of acquiring implicit coauthors of the target author to be disambiguated is proposed. Then, a coauthor disambiguation hypothesis that the identity of an author can be determined by his/her coauthors is examined and confirmed through a variety of author disambiguation experiments. (C) 2008 Elsevier Ltd. All rights reserved.X1174sciescopu
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