bluuebunny/crossref_metadata_2025_split huggingface dataset:
Highly contiguous genome assemblies ofPhotobacteriumstrains isolated from fish light organs using nanopore sequencing technology
Authors: Gould AL , Henderson JB 
Published: October 2022

AbstractSeveral species of luminous bacteria in the genusPhotobacteriumare the light organ symbionts of teleost fishes.Photobacterium leiognathiand its subspecies,P. mandapamensis, in particular, commonly form bioluminescent symbioses with fish hosts in the Leiognathidae and Acropomatidae families as well as with cardinalfish in the genusSiphamia(Apogonidae). These two closely related lineages ofPhotobacteriumare right at the cutoff average nucleotide identity used to delimit bacterial species (95-96%) and show overlapping ecological niches, including their host fish range. However, there are only a few whole genome assemblies available for these bacterial species, particularly for symbiotic strains isolated from fish light organs, that can be used to explore genome evolution of these two lineages. Here we used Oxford Nanopore Technologies sequencing to produce long reads for assembling highly contiguous genomes ofPhotobacteriumstrains isolated from fish light organs, including severalP. kishitaniistrains isolated from deep water fishes. We were able to assemble 31 high-quality genomes with near complete BUSCO scores, many at the chromosome-level, and compare their gene contents, including plasmid genes. In doing so, we discovered a new candidate species ofPhotobacterium, CandidatusPhotobacterium acropomis, which originated from the light organ of the acropomid fish,Acropoma japonicum. We also describe a lack of congruency between the presence of theluxFgene, which is involved in light production, and the phylogenetic relationships between closely relatedP. leiognathiandP. mandapamensisstrains. In contrast, there was strong congruency betweenluxFand the host fish family of origin, suggesting this gene might be essential to initiate bioluminescent symbioses with certain hosts, includingSiphamiaandAcropomaspecies. Our study shows the benefit of using long reads in the assembly of bacterial genomes and outlines an assembly pipeline that results in highly contiguous genomes, even from low-coverage ONT reads.
Identifying tower crane activities with data: the case of the concrete pouring
Authors: Danel Thomas , Lafhaj Zoubeir , Puppala Anand , BuHamdan Samer , Lienard Sophie , Richard Philippe 
Published: October 2022

PurposeThe crane plays an essential role in modern construction sites as it supports numerous operations and activities on-site. Additionally, the crane produces a big amount of data that, if analyzed, could significantly affect productivity, progress monitoring and decision-making in construction projects. This paper aims to show the usability of crane data in tracking the progress of activities on-site.Design/methodology/approachThis paper presents a pattern-based recognition method to detect concrete pouring activities on any concrete-based construction sites. A case study is presented to assess the methodology with a real-life example.FindingsThe analysis of the data helped build a theoretical pattern for concrete pouring activities and detect the different phases and progress of these activities. Accordingly, the data become useable to track progress and identify problems in concrete pouring activities.Research limitations/implicationsThe paper presents an example for construction practitioners and researcher about a practical and easy way to analyze the big data that comes from cranes and how it is used in tracking projects' progress. The current study focuses only on concrete pouring activities; future studies can include other types of activities and can utilize the data with other building methods to improve construction productivity.Practical implicationsThe proposed approach is supposed to be simultaneously efficient in terms of concrete pouring detection as well as cost-effective. Construction practitioners could track concrete activities using an already-embedded monitoring device.Originality/valueWhile several studies in the literature targeted the optimization of crane operations and of mitigating hazards through automation and sensing, the opportunity of using cranes as progress trackers is yet to be fully exploited.
PT. Pertamina Retail: Indonesian fuel retail expansion dilemma in pandemic COVID-19
Authors: da Silva Elisabeth Novira , Saraswati Dewi , Mislihah Raden Ayu 
Published: October 2022

Learning outcomes
Students are expected to integrate decision-making tools and frameworks to create decisions under uncertainty. Students are expected to understand the general business process of fuel retail industry.

Case overview/synopsis
PT. Pertamina Retail (PTPR) is a subsidiary of PT. Pertamina, an Indonesian state-owned oil and natural gas company. In the first quarter of 2020, PTPR’s sales volume decreased due to the COVID-19 pandemic’s large-scale social restrictions. Iin Febrian was just appointed as President Director in March 2020; he must formulate a survival strategy facing COVID-19 pandemic uncertainties. The case elaborates on PTPR’s decision to expand immediately or hold. Scenarios and expected values have been given to simplifying the calculation of a decision tree. The case also challenges students to think critically on providing a strategy to survive during the COVID-19 pandemic and beyond using decision tree analysis and BCG Matrix or Ansoff Matrix.

Complexity academic level
BA level and MBA program in Decision Analysis Course or Strategic Management Course.

Supplementary materials
Teaching notes are available for educators only.

Subject code
CSS 11: Strategy.
Exploring the standard language ideology in China's language policy
Authors: Ning Xu , Stephen Jeannet 
Published: October 2022

PurposeThis research explores the standard language ideology in Chinese foreign language education policies. The most substantial in relation to language policy and management in regard to language ideology are beliefs associated with the values on the named language and its varieties (Spolsky, 2009). In the standard language ideology, the standard is treated as being valuable linguistic capital and possessing prestige as well as authority. Mandarin is the most well-accepted standard Chinese, and similarly, UK English or US English is the most popular and Standard English (SE) in China.Design/methodology/approachThe theoretical framework in this research is critical discourse analysis (CDA) and discourse-historical approach (DHA) to guide the data collection and data analysis. This research will review recent and seminal literature obtained from the China National Knowledge Infrastructure (CNKI) on language policy in China in relation to standard language ideology. The literature also investigates Chinese state's English language ideologies using official language education policies (FLEPs).FindingsThe results show that standard language ideology is a common mindset found within official state policies in regard to SE. The authors argue that the Chinese trust on the ideology of standard language appears to not be aligned to recent worldwide trends such as globalization and multilingualism.Originality/valueThis research can provide insights into future language planning and language policy in China and shows that the future research could do more on language planning in China.
Mental health in the midst of economic turmoil: case study of Lebanese commercial bank employees
Authors: Yacoub Laurent , Abou Ibrahim Sara , Achy Eliane , Nicolas Eva 
Published: October 2022

PurposeThis study aims to identify the major job stressors that can affect employees’ mental health in the Lebanese commercial banks during the economic turmoil. This study also aims to identify the effects of the mental problems on the employees in addition to the role of human resources in promoting and preventing mental well-being at the workplace.Design/methodology/approachThe authors interviewed 28 bank employees and the semi-structured interviews last for around 50 min, starting by asking the employees a general question about the concept of mental health disorder. The authors used a purposive sampling in which the population sample is selected based on purpose and the characteristics of a specific category of individuals. Moreover, a thematic analysis is used to analyze the data.FindingsThe findings of this study indicate that most of the employees were suffering from many work-related stressors that have negatively affected their mental well-being. The stress and pressures have significantly increased during the economic crisis. However, most of the interviewees were not or rarely supported by their human resources department and their administration to help them get adapted for such a crisis or for the changes at the workplace.Originality/valueMental health disorders are present in the daily normal life and in the workplace as well. The banking industry is not an exceptional one.
The effect of subnational legal effectiveness and social trust on foreign firm performance: from subnational analysis in emerging economies
Authors: Jia Yu , Ye Yongqing , Ma Zhuang , Wang Tao 
Published: October 2022

PurposeThis study aims to verify the respective and interactive effects of subnational formal and informal institutions (i.e. legal effectiveness and social trust) on foreign firm performance, and further identify the contingent factor (i.e. institutional experience) that moderates these relationships.Design/methodology/approachDrawing on the institutional-based view, this study develops several hypotheses that are tested using a comprehensive dataset from four main data sources. The authors’ unit of analysis is foreign firms operating in China. The authors ran ordinary least squares (OLS) regression model to investigate the effects. A series of robustness tests and endogeneity tests were performed.FindingsThe results show that both legal effectiveness and social trust at subnational level positively affect foreign firm performance respectively. Legal effectiveness and social trust at subnational level have complementary effect in promoting the performance of foreign firms. Foreign firm's institutional experience in target region of emerging economies host country strengthens the positive impact of subnational legal effectiveness on performance, but weakens the positive impact of subnational social trust on performance.Practical implicationsIt is important to fully understand the impact of heterogeneous institutional environments of subnational regions in emerging economies on foreign firm performance, which would help foreign firm make a more suitable secondary choice decision of investment destinations at the subnational regional level.Originality/valueFirst, drawing on institutional-based view, the authors incorporate the subnational formal and informal institutional factors to investigate their impacts on foreign firm performance by switching the attention from national level to subnational level in emerging economy host countries. Second, this research furthers existing studies by bridging a missing link between both subnational formal and informal institutional environments and foreign firms' outcomes. Third, the authors prove that the model of subnational formal and informal institutions in influencing foreign firms' performance is contingent on their institutional experience in target subnational region of emerging economy host country.
User-concerned actionable hot topic mining: enhancing interpretability via semantic–syntactic association matrix factorization
Authors: Wang Linzi , Li Qiudan , Xu Jingjun David , Yuan Minjie 
Published: October 2022

PurposeMining user-concerned actionable and interpretable hot topics will help management departments fully grasp the latest events and make timely decisions. Existing topic models primarily integrate word embedding and matrix decomposition, which only generates keyword-based hot topics with weak interpretability, making it difficult to meet the specific needs of users. Mining phrase-based hot topics with syntactic dependency structure have been proven to model structure information effectively. A key challenge lies in the effective integration of the above information into the hot topic mining process.Design/methodology/approachThis paper proposes the nonnegative matrix factorization (NMF)-based hot topic mining method, semantics syntax-assisted hot topic model (SSAHM), which combines semantic association and syntactic dependency structure. First, a semantic–syntactic component association matrix is constructed. Then, the matrix is used as a constraint condition to be incorporated into the block coordinate descent (BCD)-based matrix decomposition process. Finally, a hot topic information-driven phrase extraction algorithm is applied to describe hot topics.FindingsThe efficacy of the developed model is demonstrated on two real-world datasets, and the effects of dependency structure information on different topics are compared. The qualitative examples further explain the application of the method in real scenarios.Originality/valueMost prior research focuses on keyword-based hot topics. Thus, the literature is advanced by mining phrase-based hot topics with syntactic dependency structure, which can effectively analyze the semantics. The development of syntactic dependency structure considering the combination of word order and part-of-speech (POS) is a step forward as word order, and POS are only separately utilized in the prior literature. Ignoring this synergy may miss important information, such as grammatical structure coherence and logical relations between syntactic components.
Timeless principles of social marketing communication: a comparison of the Spanish flu and COVID-19 pandemic communication in South Korea
Authors: Choi Seongwon , Powers Thomas 
Published: October 2022

PurposeThe purpose of this paper is to highlight the core tenets of social marketing communications in managing acute infectious disease outbreaks based on a historical review of two major pandemics in South Korea.Design/methodology/approachTwo researchers reviewed newspapers, journal papers, archived documents and other historical materials to examine social marketing communications used in both Spanish flu and COVID-19 pandemics by South Koreans.FindingsDespite two events being a century apart and the social context of two eras being starkly different, behavioral recommendations for both pandemics were nearly identical. Two major lessons arose from the review. First, a full disclosure of the pandemic-related information is important. Second, proper management of conflicting information is highly desired as an integral part of pandemic social marketing communication campaigns.Originality/valueUnderstanding the importance of social marketing in raising public awareness, this paper provides a historical comparison between the 1918–1919 Spanish flu and COVID-19, focusing on the social communications used during these two pandemics. The paper contributes to the health marketing literature as well as to practice by drawing implications relevant to social marketing communication used in disease pandemics.
DATT-NGRU: a novel deep learning model with data augmentation for daily stock indexes prediction
Authors: Cen Yuefeng , Wang Minglu , Cen Gang , Cai Yongping , Zhao Cheng , Cheng Zhigang 
Published: October 2022

PurposeThe stock indexes are an important issue for investors, and in this paper good trading strategies will be aimed to be adopted according to the accurate prediction of the stock indexes to chase high returns.Design/methodology/approachTo avoid the problem of insufficient financial data for daily stock indexes prediction during modeling, a data augmentation method based on time scale transformation (DATT) was introduced. After that, a new deep learning model which combined DATT and NGRU (DATT-nested gated recurrent units (NGRU)) was proposed for stock indexes prediction. The proposed models and their competitive models were used to test the stock indexes prediction and simulated trading in five stock markets of China and the United States.FindingsThe experimental results demonstrated that both NGRU and DATT-NGRU outperformed the other recurrent neural network (RNN) models in the daily stock indexes prediction.Originality/valueA novel RNN with NGRU and data augmentation is proposed. It uses the nested structure to increase the depth of the deep learning model.
Public service motivation and public employees' turnover intention: the role of job satisfaction and career growth opportunity
Authors: Wang Qiu , Gan Kai-Peng , Wei Hai-Yan , Sun An-Qi , Wang Yi-Cheng , Zhou Xiao-Mei 
Published: October 2022

PurposeThis study investigated the mediating role of job satisfaction and the moderating role of career growth opportunity in the relationship between public service motivation (PSM) and public employees' turnover intention.Design/methodology/approachThe authors recruited 587 public employees from Yunnan Province, China to test moderation and mediation hypotheses. The authors conducted confirmatory factor analysis to determine the discriminant and convergent validity of the measures of PSM, turnover intention, job satisfaction and career growth opportunity. Finally, the authors carried out bootstrapping to ascertain direct, indirect and conditional indirect effects.FindingsPSM had a negative effect on public employees' turnover intention, but this relationship was partially mediated by job satisfaction. Career growth opportunity moderated the association between job satisfaction and turnover intention. In particular, the indirect effect of PSM on turnover intention through job satisfaction weakened under high career growth opportunities.Practical implicationsThe results highlighted the significance of PSM and career growth opportunity in shaping public employees' work-related attitudes and behaviors. Public organizations should consider PSM a key criterion in recruitment and selection and pay more attention to the significance of intervening in career growth to satisfy public employees' psychological needs related to individual career development.Originality/valueThis study contributes to the literature on the disputed link between PSM and turnover intention and uncovered the underlying mechanism through which PSM affects public employees' turnover intention by proposing job satisfaction and career growth opportunity as a mediator and moderator, respectively.
Sentinel lymph node biopsy in extramammary Paget disease: A 13‐year institutional experience
Authors: Maeda Takuya , Nagai Kojiro , Uehara Jiro , Toyoshima Rino , Nakagawa Tomoe , Yoshino Koji 
Published: October 2022

AbstractWhether sentinel lymph node biopsy status is a prognostic factor or effective in determining treatment strategies in extramammary Paget disease remains unclear. This study aimed to investigate the significance of sentinel lymph node biopsy in extramammary Paget disease. We retrospectively reviewed the clinical information of previously untreated patients with invasive extramammary Paget disease who underwent wide local excision of the primary tumor and sentinel lymph node biopsy at our hospital between April 2008 and March 2021. Clinical data including the baseline neutrophil‐to‐lymphocyte ratio and recurrence‐free survival were analyzed. Sentinel lymph node metastases were classified as macrometastases and micrometastases, with a cut‐off value for sentinel lymph node tumor burden of 2 mm. Univariate and multivariate analyses of factors affecting sentinel lymph node biopsy positivity and recurrence‐free survival rates were performed. Overall, 85 patients were included in the analysis. Patients in the sentinel lymph node biopsy‐positive group (n = 26) had a significantly higher invasion level and neutrophil‐to‐lymphocyte ratio. According to multivariate analyses, invasion level and a high neutrophil‐to‐lymphocyte ratio were independent predictive factors for sentinel lymph node biopsy positivity, and the sentinel lymph node biopsy status was an independent prognostic factor for recurrence‐free survival. In conclusion, sentinel lymph node biopsy provides an accurate risk classification and clinical indication for postoperative follow‐up in patients with invasive extramammary Paget disease.
Minimum reporting standards for process and outcomes assessments for private practice dietitians working in Australian primary care: The Thought Leader Consensus study
Authors: Clark Peter W. , Williams Lauren T. , Brickley Bryce , Ball Lauren 
Published: October 2022

AbstractAimTo identify minimum reporting standards for assessing the processes and outcomes of Australian primary care dietetics practice.MethodsA sequential, mixed‐method, exploratory process with peer‐nominated Australian ‘thought leaders’. A literature review was undertaken to identify possible standards, followed by semi‐structured qualitative interviews with thought leaders. Content analysis was used to identify a comprehensive group of items that could inform evidence‐based reporting standards. Two rounds of a modified Delphi survey were conducted with the same thought leaders to seek consensus on the most relevant items. Individual items were analysed for content validity, and those with a rating of excellent item‐content validity (index >0.78) were included as evidenced‐based standards for primary care practice.ResultsTwenty‐six thought leaders (response rate: 87%) from all mainland Australian states completed a qualitative interview and two rounds of modified‐Delphi consensus surveys. Items were identified and categorised into three domains: business, clinical, and implementation. Content analysis identified 216 items published or used in practice by the thought leaders. After two rounds of consensus review, 97 items (45 business, 33 clinical, and 19 implementation) achieved excellent consensus ratings. Combining these items into a standardised tool, the scale‐content validity index average was >0.90, which is considered excellent content validity.ConclusionsThis study has identified minimum reporting standards for evidence‐based process and outcome assessments in primary care dietetics practice in Australia. Incorporating such standards into a standardised tool could enable benchmarking across the dietetics workforce and contribute to a broader understanding of the dietetic impact on public health.