The Ninth Visual Object Tracking VOT2021 Challenge Results

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How We Failed in Context: A Text-Mining Approach to Understanding Hotel Service Failures

Service failure is inevitable. Although empirical studies on the outcomes and processes of service failures have been conducted in the hotel industry, the findings need more exploration to understand how different segments perceive service failures and the associated emotions differently. This approach enables hotel managers to develop more effective strategies to prevent service failures and implement more specific service-recovery actions. For analysis, we obtained a nine-year (2010–2018) longitudinal dataset containing 1224 valid respondents with 73,622 words of textual content from a property affiliated with an international hotel brand in Canada. A series of text-mining and natural language processing (NLP) analyses, including frequency analysis and word cloud, sentiment analysis, word correlation, and TF–IDF analysis, were conducted to explore the information hidden in the massive amount of unstructured text data. The results revealed the similarities and differences between groups (i.e., men vs. women and leisure vs. business) in reporting service failures. We also carefully examined different meanings of words that emerged from the text-mining results to ensure a more comprehensive understanding of the guest experience

Understanding Factors Influencing Canadians’ travel Knowledge during the COVID-19 Pandemic: Cognitive Mediation Model

Despite an uncertain timeline, it is believed that consumers will regain confidence, and the travel demand should rebound after restrictions are lifted. This study aims to improve Canada’s preparedness to rejuvenate the economy in public health crises by understanding how potential tourists acquire knowledge using the cognitive mediation model (CMM). We examined the impact of media motivations (i.e., surveillance gratification and anticipated interaction) in predicting two types of subjective knowledge (i.e., pandemic knowledge and travel health knowledge) through the mediation of media attention and elaboration, using structural equation modelling (SEM). Study results supported all hypotheses except for the relationships between surveillance gratification and media attention, and media attention and travel health knowledge. Elaboration had the most significant total effects in predicting the two types of knowledge. This study is among the first to apply CMM in the tourism context and provides implications for DMOs and the government to understand the mechanism of Canadians’ travel decisions influenced by the COVID-19 pandemic from the health communication perspective

How We Failed in Context: A Text-Mining Approach to Understanding Hotel Service Failures

Service failure is inevitable. Although empirical studies on the outcomes and processes of service failures have been conducted in the hotel industry, the findings need more exploration to understand how different segments perceive service failures and the associated emotions differently. This approach enables hotel managers to develop more effective strategies to prevent service failures and implement more specific service-recovery actions. For analysis, we obtained a nine-year (2010–2018) longitudinal dataset containing 1224 valid respondents with 73,622 words of textual content from a property affiliated with an international hotel brand in Canada. A series of text-mining and natural language processing (NLP) analyses, including frequency analysis and word cloud, sentiment analysis, word correlation, and TF–IDF analysis, were conducted to explore the information hidden in the massive amount of unstructured text data. The results revealed the similarities and differences between groups (i.e., men vs. women and leisure vs. business) in reporting service failures. We also carefully examined different meanings of words that emerged from the text-mining results to ensure a more comprehensive understanding of the guest experience

Transcriptome Dataset of Leaf Tissue in <i>Agave</i> H11648

Sisal is widely cultivated in tropical areas for fiber production. The main sisal cultivar, Agave H11648 ((A. amaniensis &#215; A. angustifolia) &#215; A. amaniensis) has a relatively scarce molecular basis and no genomic information. Next-generation sequencing technology has offered a great opportunity for functional gene mining in Agave species. Several published Agave transcriptomes have already been reused for gene cloning and selection pressure analysis. There are also other potential uses of the published transcriptomes, such as meta-analysis, molecular marker detection, alternative splicing analysis, multi-omics analysis, genome assembly, weighted gene co-expression network analysis, expression quantitative trait loci analysis, miRNA target site prediction, etc. In order to make the best of our published transcriptome of A. H11648 leaf, we here represent a data descriptor, with the aim to expand Agave bio information and benefit Agave genetic researches

Phylogeny and Expression Atlas of the <i>NITRATE TRANSPORTER 1/PEPTIDE TRANSPORTER FAMILY</i> in Agave

Agave species are widely cultivated crassulacean acid metabolism (CAM) plants for alcoholic beverages, food and fiber production. Among these, the Agave hybrid H11648 ((A. amaniensis × A. angustifolia) × A. amaniensis) is the main cultivar for sisal fiber in the tropical areas of Brazil, China, and African countries. The plants of Agave hybrid H11648 have a long life cycle and large leaves, which require a huge amount of nitrogen nutrient. However, the molecular basis of nitrogen transport and allocation has not been well understood in agave. In this study, we identified 19 NITRATE TRANSPORTER 1/PEPTIDE TRANSPORTER FAMILY(NPF) genes (called AhNPFs) with full-length coding sequences in Agave hybrid H11648. Our analysis of gene expression in various types of tissues revealed the tissue-specific expression pattern of AhNPFs. We further examined their expression patterns at different leaf developmental stages, under abiotic/biotic stresses and nutrient deficiency. The results reveal several candidate regulators in the agave NPF family, including AhNPF4.3/5.2/7.1. We first characterized the NPF genes in agave based on published leaf transcriptome datasets and emphasized their potential functions. The study will benefit future studies related to nitrogen nutrient in agave

Study on Geometric Characteristics and Quantitative Description Method of Casing Deformation during Shale Reservoir Hydraulic Fracturing

Casing deformation is a common but serious problem experienced during hydraulic fracturing operations in shale reservoirs. The Multi-Finger Imaging Tool is used to measure the casing deformation where the casing inner diameter is the only parameter used to characterize the deformation. Many deformed casing geometric details are often ignored, and these geometric characteristics are helpful for revealing the casing deformation mechanism. In this study, we established a quantitative method to describe the casing deformation using methods of judging the similarity of curves. By comparing the field casing deformation sections and the initial casing section, we categorized the casing deformation sections into concave and elliptical types. Furthermore, using the centroid calculation, elliptical type was sub-divided into symmetric ellipse type and eccentric ellipse type. On the basis of the Weiyuan and Guandong oil field&rsquo;s fault distribution maps, we demonstrated that the fault slip could be the main cause of concave type and eccentric ellipse type. A numerical study was then carried out to ascertain whether fault slip can cause concave type and eccentric ellipse type casing deformations and to establish the relationship between fault slip magnitude and casing deformation. The results support the idea that concave type and eccentric ellipse type casing deformation are caused by the fault slip. Sensitivity analysis showed that the shape of the casing section was largely influenced by the dip angle, while the change of the casing inner diameter was largely influenced by the strike angle. The method proposed herein presents a useful step towards the prediction of the causes of casing deformation and provides a relationship between casing inner diameter change and fault slip

The complete chloroplast genome of agave hybrid 11648

Agave hybrid 11648 is the most widely cultivated agave variety for sisal fiber production around the world. In the present study, we have successfully sequenced the chloroplast genome of A. H11648. The complete chloroplast genome size is 157,274 bp in length with a GC content of 37.8%. The genome contains a large single copy region (LSC) of 85,896 bp, a small single copy region (SSC) of 18,230 bp, and a pair of inverted repeat regions (IR) of 26,574 bp. 121 genes are annotated in the chloroplast genome. The numbers of protein-coding, tRNA and rRNA genes are 99, 40 and 8, respectively. Phylogenetic tree reveals that A. H11648 is closely related to A. americana

The complete chloroplast genome of Agave sisalana

Agave sisalana is one of the Agave cultivars for sisal fiber production around the tropical areas of the world. In the present study, we successfully sequenced and assembled its chloroplast genome. The full size of the genome is 157,268 bp with a GC content at 37.85%. The genome is constructed with a large single copy region (LSC, 85,894 bp), a pair of inverted repeat regions (IR, 26,573 bp) and a small single copy region (SSC, 18,228 bp). Besides, 86 protein-coding genes, 38 tRNAs and 8 rRNAs are annotated on the chloroplast genome. Phylogenetic result reveals that A. sisalana is closely related with A. americana and A. H11648

Spontaneous breathing in patients with severe acute respiratory distress syndrome receiving prolonged extracorporeal membrane oxygenation

BACKGROUND: The use of extracorporeal membrane oxygenation (ECMO) in awake, spontaneously breathing and non-intubated patients (awake ECMO) may be a novel therapeutic strategy for severe acute respiratory distress syndrome (ARDS) patients. The purpose of this study is to assess the feasibility and safety of awake ECMO in severe ARDS patients receiving prolonged ECMO (&gt; 14 days). METHODS: We describe our experience with 12 consecutive severe ARDS patients (age, 39.1 ± 16.4 years) supported with awake ECMO to wait for native lung recovery during prolonged ECMO treatment from July 2013 to January 2018. Outcomes are reported including the hospital mortality, ECMO-related complications and physiological data on weaning from invasive ventilation. RESULTS: The patients received median 26.0 (15.5, 64.8) days of total ECMO duration in the cohort. The longest ECMO support duration was 121 days. Awake ECMO and extubation was implemented after median 10.2(5.0, 42.9) days of ECMO. Awake ECMO was not associated with increased morbidity. The total invasive ventilation duration, lengths of stay in the ICU and hospital in the cohort were 14.0(12.0, 37.3) days, 33.0(22.3, 56.5) days and 46.5(27.3, 84.8) days, respectively. The hospital mortality rate was 33.3% (4/12) in the cohort. Survivors had more stable respiratory rate and heart rate after extubation when compared to the non-survivors. CONCLUSIONS: With carefully selected patients, awake ECMO is a feasible and safe strategy for severe pulmonary ARDS patients receiving prolonged ECMO support to wait for native lung recovery