bluuebunny/crossref_metadata_2025_split huggingface dataset:
Genome-wide Association Study Reveals that PvGUX1_1 is Associated with Pod Stringlessness in Snap Bean (Phaseolus vulgaris L.)
Authors: Liu Zhiyuan , Gao Shuo , Zhang Helong , Xu Zhaosheng , Qian Wei 
Published: February 2022

AbstractThe suture strings is a particularly important pod trait that determines the quality and texture of snap bean (Phaseolus vulgaris L.). The St locus on chromosome 2 has been described as a major locus associated with suture strings. However, the gene and genetic basis underlying this locus remain unknown. Here, we investigated the suture strings of 138 snap bean accessions across two years. A total of 3.66 million single-nucleotide polymorphisms (SNPs) were obtained by deep resequencing. Based on these SNPs, we identified a strong association signal on Chr02 and a promising candidate gene, PvGUX1_1. Further analysis revealed that the 2-bp deletion in exon of PvGUX1_1 was significantly associated with stringlessness. Comparative mapping indicated that PvGUX1_1 was a domesticated locus and diverged from PvGUX1_2 during an early stage. Our study provides important insights into the genetic mechanism of suture string formation and useful information for snap bean improvement.
Tracking influenza a virus infection in the lung from hematological data with machine learning
Authors: Jhutty Suneet Singh , Boehme Julia D. , Jeron Andreas , Volckmar Julia , Schultz Kristin , Schreiber Jens , Schughart Klaus , Zhou Kai , Steinheimer Jan , Stöcker Horst , Stegemann-Koniszewski Sabine , Bruder Dunja , Hernandez-Vargas Esteban A. 
Published: February 2022

ABSTRACTThe tracking of pathogen burden and host responses with minimal-invasive methods during respiratory infections is central for monitoring disease development and guiding treatment decisions. Utilizing a standardized murine model of respiratory Influenza A virus (IAV) infection, we developed and tested different supervised machine learning models to predict viral burden and immune response markers,i.e. cytokines and leukocytes in the lung, from hematological data. We performed independentlyin vivoinfection experiments to acquire extensive data for training and testing purposes of the models. We show here that lung viral load, neutrophil counts, cytokines like IFN-γ and IL-6, and other lung infection markers can be predicted from hematological data. Furthermore, feature analysis of the models shows that blood granulocytes and platelets play a crucial role in prediction and are highly involved in the immune response against IAV. The proposedin silicotools pave the path towards improved tracking and monitoring of influenza infections and possibly other respiratory infections based on minimal-invasively obtained hematological parameters.
SEQUIN: rapid and reproducible analysis of RNA-seq data in R/Shiny
Authors: Weber Claire , Hirst Marissa B. , Ernest Ben , Baskir Hannah , Tristan Carlos A. , Chu Pei-Hsuan , Singeç Ilyas 
Published: February 2022

AbstractSEQUIN is a new web application (app) that allows fast and intuitive RNA-sequencing data analysis for organisms, tissues, and single cells. Integrated app functions enable uploading datasets, quality control, gene set enrichment, data visualization, and differential gene expression analysis. We also present the iPSC Profiler, a practical tool that helps to measure pluripotency and cell differentiation. Freely available to the public, SEQUIN empowers scientists to investigate transcriptome data firsthand with cutting edge statistical methods.
Social capital as the main driver of organizationally valuable innovation
Authors: Meyer John P. 
Published: February 2022

PurposeThrough a juxtaposition of social capital with two other forms of intellectual capital – human capital and organizational capital – the author proposes and tests a framework that sets social capital apart as the main driver of innovations that contribute subsequent technical value to the innovating organization.Design/methodology/approachThis study uses data collected from the United States Patent and Trademark Office (USPTO) for measurement of the key variables. Specifically, the analysis includes all 117 innovations patented under the thermal inkjet printing subclass that were issued in the twenty years following the establishment of that specific subclass in 1980. The author also collected additional data on the individuals and organizations listed on each patent.FindingsThe results of the analysis show that all intellectual capital is not the same and that social capital resulting from collaborative relationships among inventors has significantly more positive influence on the retained technical value of an innovation than organizational or human capital.Practical implicationsRather than tout the primacy of individual intelligence to the generation of valuable innovation, this research suggests that it is preferable to bring together a group of inventors with narrow individual scientific expertise who instead rely on broad collaboration networks as a flexible source of diverse knowledge.Originality/valueThis research addresses an area of innovation research that has not been adequately explored – how do different forms of intellectual capital affect the value the resulting innovation has to the innovating organization?
Determining behavioural differences of Y and Z generational cohorts in online shopping
Authors: Agrawal Durgesh Kumar 
Published: February 2022

PurposeThe present study aims at examining the behavioural differences of the Y and Z generational cohorts in online shopping for physical products.Design/methodology/approachLogistic regressions (LRs) were conducted to identify positively significant, negatively significant and insignificant variables/items of shopping motives to determine online shopping behavioural differences of both cohorts.FindingsWhile shopping online, the Gen Y cohort focuses on rational decisions, and Gen Z derives enjoyment, learning, exploration and has a deal-hunting behaviour. Gen Y incorporates actual shopping experiences shared on social media, is relatively less individualistic and more social, unlike Gen Z youths who significantly value reviews and ratings. Both cohorts carry a high-product risk and sacrifice many hedonic motives. Y and Z cohorts perceive financial risk and a product's performance-related risks, respectively. The Z cohort has an intrinsic passion for digital technology whereas Gen Y uses it purposely. Thus, both have distinctive online shopping behaviours apart from some similarities.Practical implicationsOnline retailers can use the findings of this study to develop more effective marketing strategies to serve both the cohorts better who have largely mutually exclusive online shopping behaviours.Originality/valueThe study measured actual behaviours on contemporary and comprehensive variables/items of utilitarian and hedonic motives, and associated perceived risks in online shopping exclusively. Therefore, the results offer significant, realistic and useful theoretical contributions in the present context to the existing literature on the subject matter along with valuable inputs to the practitioners.
Spatial disparity in gender pay gap and female workforce participation: a sub-national level study in Indian manufacturing sector
Authors: Das Simontini , Mondal Rhyme 
Published: February 2022

PurposeThe paper intends to identify the factors that determine the variations in the gender pay gap and female workforce participation at low-skill manufacturing job across Indian states over the time period 2006–2014.Design/methodology/approachGender pay gap is measured in two ways: one is scale insensitive and second one is scale sensitive. To construct scale-sensitive gender pay gap measure wage discrimination index is used. For main analysis, a panel framework is used. Fixed effect model and random effect model are estimated along with all relevant diagnostic tests.FindingsEmpirical analysis elucidates that male literacy rate, female literacy rate and gender parity index are important factors in explaining the variation in gender pay gap and women workforce participation at sub-national level in India. Female literacy rate significantly reduces the crude pay gap; however, it has insignificant effect on scale-sensitive gender pay gap in low-skill manufacturing sector. Educational enrolment widens up the crude wage gap but narrows down the other one. In case of workforce participation educational attainment and school enrolment both reduce women workforce participation in low-skill manufacturing job.Research limitations/implicationsThe present research suffers from two major limitations. Due to lack of information, the paper is unable to study the impacts of female representation in trade unions, availability of supporting infrastructure like day-care facilities for working mothers, etc. in explaining the variation in gender pay gap and women workforce participation. The second limitation is that the research fails to address the issue related to selection into employment. The present paper uses the macro-level state-specific statistics instead of micro-level data; hence the imputed wage for unemployed but potential workers cannot be calculated.Originality/valueThe paper is unique in the sense that it highlights gender pay gap and female workforce participation issue in low-skill manufacturing sector at Indian sub-national level. There are no such papers that highlight these issues in the context of Indian manufacturing sector. Another contribution is that the present paper considers the scale-sensitive gender pay gap, whose determinants are different than crude gender pay gap.
The effect of social media on travel planning process by Chinese tourists: the way forward to tourism futures
Authors: Yuan Yuke , Chan Chung-Shing , Eichelberger Sarah , Ma Hang , Pikkemaat Birgit 
Published: February 2022

Purpose This paper investigates the usage and trust of Chinese social media in the travel planning process (pre-trip, during-trip and post-trip) of Chinese tourists.Design/methodology/approach Through a combination of structured online survey (n = 406) and follow-up interviews, the research identifies the diversification of the demand-and-supply patterns of social media users in China, as well as the allocation of functions of social media as tools before, during and after travel.Findings Social media users are diverse in terms of their adoption of social media, use behaviour and scope; the levels of trust and influence; and their ultimate travel decisions and actions. Correlations between the level of trust, influence of social media and the intended changes in travel decisions are observed. Destination marketers and tourism industries should observe and adapt to the needs of social media users and potential tourist markets by understanding more about user segmentation between platforms or apps and conducting marketing campaigns on social media platforms to attract a higher number of visitors.Research limitations/implications This paper demonstrated the case of social media usage in mainland China, which has been regarded as one of the fastest growing and influential tourist-generating markets and social media expansions in the world. This study further addressed the knowledge gap by correlating social media usage and travel planning process of Chinese tourists. The research findings suggested diversification of the demand-and-supply pattern of social media users in China, as well as the use of social media as tools before, during and after travel. Users were diversified in terms of their adoption of social media, use behaviour, scope, the levels of trust, influence and the ultimate travel decisions.Practical implications Destination marketing organizations should note that some overseas social media platforms that are not accessible in China like TripAdvisor, Yelp, Facebook and Instagram are still valued by some Chinese tourists, especially during-trip period in journeys to Western countries. Some tactics for specific user segments should be carefully observed. When promoting specific tourism products to Chinese tourists, it is necessary to understand the user segmentation between platforms or apps.Originality/value Social media is a powerful tool for tourism development and sustainability in creating smart tourists and destinations worldwide. In China, the use of social media has stimulated the development of both information and communication technology and tourism.
Unpacking the lived experiences of corporate bribery: a phenomenological analysis of the common sense in the Indonesian business world
Authors: Salama Nadiatus , Chikudate Nobuyuki 
Published: February 2022

Purpose
This study aims to investigate the meaning and lived experiences of Indonesian businesspeople who are engaged in corporate bribery.

Design/methodology/approach
This study takes a phenomenological approach to gain a deeper and more intense understanding of the real-life experiences of top executives, middle managers and lower-level employees in private companies in a broad range of medium-to-large enterprises in Indonesia.

Findings
The analysis resulted in three themes regarding corporate bribery: reasons, rationalization and effects. The results provide a deep and intricate understanding of bribery in the organizational context in general and among Indonesian businesspeople in particular.

Practical implications
This study has significant implications for practice because the results revealed how corporate bribery has been conducted and justified in the real practice of the Indonesian business world. Especially for managers who work in multinational corporations, they should consider the results of this study to avoid bribery practices in Indonesia.

Originality/value
To the best of the authors’ knowledge, this study is the first to investigate the reasoning and mindset of focal people who committed wrongdoings in the Indonesian business world. The findings provide evidence that businesspeople are imbued with the calculating rationality of a profit-focused mindset.
Contemporary occupational priorities at the end of life mapped against Model of Human Occupation constructs: A scoping review
Authors: Morgan Deidre D. , Taylor Renée R. , Ivy Mack , George Stacey , Farrow Caroline , Lee Vincci 
Published: February 2022

AbstractIntroductionPeople with end‐of‐life care needs are seen in an increasingly diverse range of health and community settings. Opportunity for continued occupational participation is highly valued by people at the end of life. This scoping review sought to identify the priorities and preferences for participation at the end of life and to map findings using the model of human occupation.MethodsA search strategy informed by the research question was developed in collaboration with a research librarian. Data sources used were Ovid Medline(R), CINAHL, Ovid Emcare, Scopus, Web of Science and PsychInfo. Studies that focused on clinician perspectives, clinical care, grief and loss, did not clearly identify end‐stage diseases, <18 years and written in languages other than English were excluded.FindingsForty‐four studies were included with a total of 1,070 study participants. Inductively developed themes were mapped against the model of human occupation constructs of volition (personal causation, values, interests), habituation (habits of occupational performance and routine), performance capacity and the lived body within the physical, social and occupational environment. The majority of findings sat within the construct of volition, particularly around sense of personal capacity, self‐efficacy and values. At the end of life, people prioritise ongoing engagement in valued occupations even if participation is effortful. As disease progresses, opportunity to exert influence and control over this participation and engagement increases in importance. Personal causation plays an important role in the experience of occupational participation at this time.ConclusionThis review provides important insights into the occupational priorities of people at the end of life and the importance of supporting agency and volition at this time. The model of human occupation and its client‐centred focus offer a framework for a more robust examination of ways to enhance volitional capacity and enable occupational participation for people at the end of life.
How Does Firm‐Specific Investor Sentiment Affect the Value of Corporate Cash Holdings?
Authors: Guo Haifeng , Yin Chao , Zeng Yeqin 
Published: February 2022

AbstractWe document a positive relation between firm‐specific investor sentiment (FSIS) and the value of cash. We also show that FSIS has a stronger positive effect on the value of cash than the value of other types of assets, suggesting that our finding is not a simple reflection of firm‐level overvaluation. Our finding is robust to alternative measures of change in cash, different cash regimes, FSIS measured by order imbalance, news sentiment and the tone of earnings conference call transcripts and controlling for market‐wide sentiment, institutional monitoring, corporate governance and endogeneity. Cross‐sectional analyses suggest that the positive relation between FSIS and the value of cash is stronger for firms with better future growth opportunities, larger investment, more innovation activities, higher information asymmetry and more liquid stocks. Overall, our paper sheds light on the important role of FSIS in corporate outcomes.
Research progress in the screening and evaluation of umami peptides
Authors: Qi Lulu , Gao Xinchang , Pan Daodong , Sun Yangying , Cai Zhendong , Xiong Yongzhao , Dang Yali 
Published: February 2022

AbstractUmami is an important element affecting food taste, and the development of umami peptides is a topic of interest in food‐flavoring research. The existing technology used for traditional screening of umami peptides is time‐consuming and labor‐intensive, making it difficult to meet the requirements of high‐throughput screening, which limits the rapid development of umami peptides. The difficulty in performing a standard measurement of umami intensity is another problem that restricts the development of umami peptides. The existing methods are not sensitive and specific, making it difficult to achieve a standard evaluation of umami taste. This review summarizes the umami receptors and umami peptides, focusing on the problems restricting the development of umami peptides, high‐throughput screening, and establishment of evaluation standards. The rapid screening of umami peptides was realized based on molecular docking technology and a machine learning method, and the standard evaluation of umami could be realized with a bionic taste sensor. The progress of rapid screening and evaluation methods significantly promotes the study of umami peptides and increases its application in the seasoning industry.
Analysis of sleep in individual Drosophila melanogaster reveals a self‐regulatory role for cuticular hydrocarbons pheromones
Authors: Wu Xiaoyu , Wang Su , Zhao Xianguo , Wen Jing , Li Yahong , Zhao Zhangwu , Du Juan 
Published: February 2022

AbstractIt is well established that pheromones are used by insects to transmit information between individuals. However, research has revealed that individual insects can be both the sender and the receiver of some pheromonal signals. It is therefore interesting to consider whether the pheromonal state of an individual insect can exert an effect on itself. In this study, we monitored the sleep activity of single flies exhibiting a mutation that leads to pheromonal deficiency and found that cuticular hydrocarbons (CHs) exerted self‐regulatory effects on the amount of sleep experienced by these flies. To identify the physiological significance of this mechanism, we compared the amounts of sleep in individual young flies and individual old flies (flies are known to sleep less as they get older) and compared this data with young and old flies exhibiting mutations that lead to CH reception defects. The differences in the amount of sleep experienced by young and old mutant flies were significantly lower than those of the control flies. Our data show that hydrocarbon signals produced by the cuticle in Drosophila can be self‐perceived and regulate the amount of sleep acquired in a maturation‐dependent manner.
Hydrodynamic Links between Shallow and Deep Mineralization Systems and Implications for Deep Mineral Exploration
Authors: CHI Guoxiang , XU Deru , XUE Chunji , LI Zenghua , LEDRU Patrick , DENG Teng , WANG Yumeng , SONG Hao 
Published: February 2022

AbstractDeep mineral exploration is increasingly important for finding new mineral resources but there are many uncertainties. Understanding the factors controlling the localization of mineralization at depth can reduce the risk in deep mineral exploration. One of the relatively poorly constrained but important factors is the hydrodynamics of mineralization. This paper reviews the principles of hydrodynamics of mineralization, especially the nature of relationships between mineralization and structures, and their applications to various types of mineralization systems in the context of hydrodynamic linkage between shallow and deep parts of the systems. Three categories of mineralization systems were examined, i.e., magmatic‐hydrothermal systems, structurally controlled hydrothermal systems with uncertain fluid sources, and hydrothermal systems associated with sedimentary basins. The implications for deep mineral exploration, including potentials for new mineral resources at depth, favorable locations for mineralization, as well as uncertainties, are discussed.
Hyperbolic discounting rates and risk for problematic alcohol use in youth enrolled in the Adolescent Brain and Cognitive Development study
Authors: Kohler Robert J. , Lichenstein Sarah D. , Yip Sarah W. 
Published: February 2022

AbstractAdolescence is the peak period for the emergence of substance use, which can lead to long‐term psychosocial, occupational and interpersonal complications. Ongoing large‐scale, longitudinal, consortium initiatives, such as the Adolescent Brain and Cognitive Development (ABCD) study, offer unprecedented opportunities to elucidate key risk factors for problematic substance use in a well‐powered sample and to examine how changes in risk factors relate to symptoms across time. Delay discounting has been proposed as a putative risk marker for early substance‐use initiation and other forms of psychopathology. However, the extent to which other factors (e.g., socio‐economic status and cognitive ability) influence discounting behaviour in young adolescents is not well established. The present study leverages data from the ABCD study (n = 11 045) to assess associations between core demographic and familial variables and delay discounting in youth—operationalized using hyperbolic discounting rates (k)—before the onset of significant psychopathology. Model estimates revealed significant effects of individual difference factors (e.g., sex and socio‐economic status) and alcohol risk status (based on family history) on delay discounting. No significant differences were observed in the primary sample when comparing the presence of parent drug problems or prenatal drug exposures. These effects will require replication in later waves of ABCD. Nonetheless, these results provide support for delay discounting as a potential risk marker for problematic alcohol use and demonstrate a relationship between key demographic variables and adolescent discounting behaviour. Further, these results provide an empirical baseline from which developmental trajectories of delay discounting and substance use may be tracked throughout future waves of ABCD.