bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bridging the gap between bioinformatics and the clinical and public health microbiology laboratory: An ISO-accredited genomics workflow for antimicrobial resistance
Authors: Sherry Norelle L. , Horan Kristy , Ballard Susan A. , da Silva Anders Gonçalves , Gorrie Claire L. , Schultz Mark B. , Stevens Kerrie , Valcanis Mary , Sait Michelle , Stinear Timothy P. , Howden Benjamin P. , Seemann Torsten 
Published: May 2022

ABSTRACTRealising the promise of genomics to revolutionise routine AMR diagnosis and surveillance has been a long-standing challenge in clinical and public health microbiology. We have directly addressed this issue by creating and validating abritAMR, an ISO-accredited bioinformatics platform for genomics-based bacterial AMR gene detection. abritAMR utilises the NCBI AMRFinderPlus for detection of AMR genes and mutations, with additional features to classify AMR determinants into an antibiotic class. We validated abritAMR by comparing with multiplex PCR or gold-standard reference genomes, together representing 1500 different bacteria across 29 genera and covering 415 antibiotic resistance alleles. We also assessed inference of phenotypic resistance by comparing genomic predictions with agar dilution results for 864 Salmonella spp. Performance of abritAMR was excellent, detecting AMR genes with 99.9% accuracy (95% CI 99.9-99.9%), 97.9% sensitivity (95% CI 97.5-98.4%) and 100% specificity (100-100%). Phenotypic inference of resistance for Salmonella spp. was equally impressive, with 98.9% accuracy (98.7-99.1%). Validation data were submitted to the governing authority and ISO15189 accreditation was achieved. Implementation of abritAMR resulted in streamlined bioinformatics and reporting pathways, and it was readily updated and re-verified with database revisions or changes in reporting requirements. abritAMR is publicly and freely available to assist clinical and public health microbiology laboratories everywhere harness the power of AMR genomics in their professional practice.
peaks2utr: a robust Python tool for the annotation of 3’ UTRs
Authors: Haese-Hill William , Crouch Kathryn , Otto Thomas D. 
Published: May 2022

AbstractSummaryAnnotation of non-model organisms is an open problem, especially the detection of untranslated regions (UTRs). Correct annotation of UTRs is crucial in transcriptomic analysis to accurately capture the expression of each gene yet is mostly overlooked in annotation pipelines. Here we present peaks2utr, an easy-to-use Python command line tool that uses the UTR enrichment of single-cell technologies, such as 10x Chromium, to accurately annotate 3’ UTRs for a given canonical annotation.Availability and Implementationpeaks2utr is implemented in Python 3 (≥ 3.8). It is available via PyPI at https://pypi.org/project/peaks2utr and GitHub at https://github.com/haessar/peaks2utr. It is licensed under GNU GPLv3.
Optimum time for hand pollination in yam (Dioscorea spp.)
Authors: Mondo Jean M. , Agre Paterne A. , Asiedu Robert , Akoroda Malachy O. , Asfaw Asrat 
Published: May 2022

AbstractHand pollination success rate is low in yam (Dioscorea spp.), due partly to suboptimal weather conditions. Thus, determining the most suitable time for pollination could improve the pollination success in yam breeding programs. We performed continuous hand pollination within flowering windows of D. rotundata and D. alata for two consecutive years to determine the most appropriate month, week, and hours of the day allowing maximum pollination success. In D. alata crossing block, we observed significant differences among crossing hours for pollination success (p = 0.003); morning hours (8–12 a.m.) being more conducive than afternoons (12–5 p.m.). No significant differences existed between crossing hours in D. rotundata, though the mid-day seemed optimal. For both species, the time interval 11–12 a.m. was more appropriate for crossing while 4–5 p.m. was the poorest. However, in vitro pollen germination tests showed that mid-day pollen collection (12 noon – 2 p.m.) had better results than both extremes, though there were strong genotypic effects on outcomes. Pollination success rates differed significantly among months for D. alata (p < 0.001) but not for D. rotundata (p > 0.05). Differences in pollination success existed across weeks within flowering windows of both D. alata (p < 0.001) and D. rotundata (p = 0.004). The seed production efficiency (SPE) had a similar trend as the pollination success rate. No clear pattern existed between the pollination time and the seed setting rate (SSR) or seed viability (SV), though their dynamics varied with weeks and months. This study provided an insight on the dynamics of pollination outcomes under the influence of pollination times and allows detecting months, weeks, and hours of the day when hybridization activities should be focused for better results.
Vineyard or olive garden: an investment decision
Authors: Riaz Yasir , Abdullah Iqra 
Published: May 2022

Learning outcomes
The learning outcomes are as follows:• demonstrate an understanding of the fruit farming process;• compare the pros and cons of farming different fruits;• understand the general characteristics of entrepreneurs and identify the issues they face;• compare the risk and returns from two types of investments;• apply capital budgeting techniques to ascertain the best available investment option; and• perform sensitivity analysis based on different anticipated situations for a new business.

Case overview/synopsis
Since his birth, Mr Bashir Khan, a 45-year-old father of four, lived as a farmer in Kallar Kahar, Pakistan. He owned 15 acres of land which he used to cultivate wheat and millet. He decided to start fruit farming after harvesting wheat in April 2021 to satisfy his long-standing desire to own a garden. He recently met a friend who was earning well from grape farming, who suggested that Khan set up a vineyard farm which could become a profitable venture for him. At the same time, Khan learned that the government had declared the Potohar region of Pakistan an olive valley, and was giving massive subsidies on olive cultivation. Khan now had a choice of fruits to plant on his land. One of his relatives, Omar Khayam, was an accountant at a firm. Khayam offered to conduct a feasibility analysis for Khan, to provide the relevant data, and help Khan select a high profit-yielding fruit farm.

Complexity academic level
Introductory finance courses at the undergraduate and postgraduate levels as well as executive training courses focused on the agri-finance discipline.

Supplementary materials
Teaching notes are available for educators only.

Subject code
CSS 1: Accounting and Finance.
Entrepreneurship education and entrepreneurial intent: a comparative study of the private and government university students
Authors: Maharana Narayana , Chaudhury Suman Kalyan 
Published: May 2022

PurposeThe purpose of this study is to explore the relationship between educational qualification and entrepreneurial intent (EI) of the students of private and government universities located in the state of Odisha, India.Design/methodology/approachThe study is based on the responses of 485 students of selected private and government universities in Odisha, India. A multistage random sampling approach has been adopted to collect the data and was tested for the role of different elements relating to education in explaining EI.FindingsThe findings suggest that the private universities are superior to the government universities in their Quality of Entrepreneurship Education (QEE), students' Exposure to Entrepreneurship Education (EEE) and their EI. Business Management and Commerce students have more inclination toward entrepreneurship compared to the students of professional streams like Law, Pharmacy, Engineering etc. Self-employed parents, EEE and Extra-Curricular Activities (ECA) are the significant determinants of EI among the university students; whereas, Academic Achievement (AA) and Socio-economic Status (SES) do not significantly explain their EI. Finally, gender also plays a vital role where male students show higher EI compared to their female counterparts.Practical implicationsThe research provides an understanding of the significance of entrepreneurship education along with ECA in developing EI among government and private university students.Originality/valueThe paper not only empirically presents the major differences between private and government-owned universities while dealing with entrepreneurship development at the university level but also highlights the impact of demographic and socio-economic characteristics of the students on their EI.
Exploring the role of implicit person theory in the relationship between innovative work climate and proactive behaviour at work
Authors: Hendrikx Karolien , Schreurs Bieke , Jansen In de Wal Joost 
Published: May 2022

Purpose
The purpose of this study is to explore the role of employees’ underlying implicit person theories in the relationship with innovative work climate and proactive behaviour at work. First, the authors study how an employee’s implicit person theory (IPT), or the domain-general implicit belief about the development potential of people’s attributes, relates to learning goal orientation and proactive learning and entrepreneurial behaviour at work. Second, the authors investigate how employees’ perception of their work climate is associated with this IPT.

Design/methodology/approach
The authors set up an exploratory study relying on survey data from a sample of 498 professionally active Flemish adults and analysed a correlational path through SEM.

Findings
The authors found that holding an incremental IPT (i.e. believing in the development potential of people’s attributes) positively relates to proactive learning and entrepreneurial behaviour. Moreover, the authors found that employees working in an innovative work climate are more likely to hold an incremental IPT.

Originality/value
This study offers indications that IPT is a relevant explanatory variable in the relationship between innovative work climate on the one hand and learning goal orientation, learning work behaviour and entrepreneurial work behaviour on the other hand. As such, this study suggests that IPT is a promising concept that can be actively endorsed as a relevant underlying psychological process variable for fostering learning and entrepreneurial behaviour in organizations.
The influence of telework and management controls on the congruence of civil servant objectives
Authors: Dos Santos Edicreia Andrade , Sallaberry Jonatas Dutra , Mendes Alcindo Cipriano Argolo 
Published: May 2022

PurposeThe purpose of this study is to analyze the influence of telework and management control systems (MCSs) on the congruence of civil servant objectives in the Brazilian justice system.Design/methodology/approachTo this end, the authors have carried out a survey with 468 employees of the Ministério Público Federal (Federal Public Ministry), whose data were analyzed using structural equation modeling.FindingsAmong the main results are the perceived efficiency of telework, and the finding that action and personnel controls are positively related to the congruence of objectives. However, the moderating relationship of the MCSs presented individual characteristics. Action controls showed no evidence of moderating the relationship between the perceived efficiency of telework and congruence of objectives. However, personnel controls showed a significant and negative relationship, that is, more intense personnel controls in telework weakened the congruence of individual objectives with those of the organization.Practical implicationsThis study contributes to practice by identifying barriers and facilitators in organizational telework programs and also spotting how controls can be planned for their activities.Originality/valueThe authors’ research evaluates the effect of MCSs on the relationship between the perceived efficiency of telework and the congruence of employee objectives, considering that the telework regime is in its initial phase of implementation in public entities, but this has been intensified by the restrictions imposed by the coronavirus disease 2019 (COVID-19) pandemic.
Service innovation in the restaurant sector during COVID-19: digital technologies to reduce customers' risk perception
Authors: Esposito Benedetta , Sessa Maria Rosaria , Sica Daniela , Malandrino Ornella 
Published: May 2022

PurposeThis paper investigates the extent to which the COVID-19 pandemic has accelerated service innovation in the restaurant sector. It explores the use of digital technologies (DT) as a safety-empowerment and resilient strategy in the food-service industry during the pandemic. It also investigates the impact of DT on customers' risk perception (CRP) and customers' intention to go to restaurants (CIR) in Italy.Design/methodology/approachBased on the theory of planned behaviour and perceived risk theory, this study investigates a sample of customers residing in Italy. Multiple regression and mediation analyses are conducted to test the research hypotheses, adapting the logic model developed. Using the bootstrapping technique, this study also explores whether the pandemic has moderated the relationship among several variables adapted from the literature. Robustness tests are also performed to corroborate the analysis.FindingsThe pandemic has accelerated the food-service industry's digital transformation, forcing restauranteurs to implement DT to survive. Findings show that DT support restauranteurs in implementing innovative services that reduce interactions and empower cleanliness among workers and customers, reducing CRP and preserving CIR. Thus, managing risk perception is helping the restaurant sector to recover.Practical implicationsPractical implications are presented for policymakers to catalyse the digital transformation in small- and medium-sized restaurants. The results may also be beneficial for entrepreneurs who can implement innovative service practices in order to reduce interaction and empower cleanliness levels. Moreover, academics can use these results to conduct similar research in other geographical contexts.Originality/valueThe present research represents the first study investigating the relationship between the use of digital technologies and the intentions of customers to go out for dinner during the ongoing pandemic in Italy.
Intra‐genomic rRNA gene variability of Nassellaria and Spumellaria (Rhizaria, Radiolaria) assessed by Sanger, MinION and Illumina sequencing
Authors: Sandin Miguel M. , Romac Sarah , Not Fabrice 
Published: May 2022

SummaryRibosomal RNA (rRNA) genes are known to be valuable markers for the barcoding of eukaryotic life and its phylogenetic classification at various taxonomic levels. The large‐scale exploration of environmental microbial diversity through metabarcoding approaches has been focused mainly on the V4 and V9 regions of the 18S rRNA gene. The accurate interpretation of such environmental surveys is hampered by technical (e.g. PCR and sequencing errors) and biological biases (e.g. intra‐genomic variability). Here we explored the intra‐genomic diversity of Nassellaria and Spumellaria specimens (Radiolaria) by comparing Sanger sequencing with Illumina and Oxford Nanopore Technologies (MinION). Our analysis determined that intra‐genomic variability of Nassellaria and Spumellaria is generally low, yet some Spumellaria specimens showed two different copies of the V4 with <97% similarity. Of the different sequencing methods, Illumina showed the highest number of contaminations (i.e. environmental DNA, cross‐contamination, tag‐jumping), revealed by its high sequencing depth; and MinION showed the highest sequencing rate error (~14%). Yet the long reads produced by MinION (~2900 bp) allowed accurate phylogenetic reconstruction studies. These results highlight the requirement for a careful interpretation of Illumina‐based metabarcoding studies, in particular regarding low abundant amplicons, and open future perspectives towards full‐length rDNA environmental metabarcoding surveys.
A competitive marketplace or an unfair competitor? An analysis of Amazon and its best sellers ranks
Authors: Etumnu Chinonso E. 
Published: May 2022

AbstractTo assess the performance of third‐party sellers relative to Amazon, this study estimates the effect of different sales strategies on Amazon's reported best sellers rank (BSR) of ground coffee in the USA and Canada and red wine in the United Kingdom using a fixed‐effects model. The products are either ‘sold and shipped by Amazon’ (Amazon), ‘sold by the third‐party seller and fulfilled by Amazon’ (FBA), or ‘sold and fulfilled by a third‐party merchant’ (FBM). For each of the grocery products and in all empirical specifications, FBM increases the BSR, reducing the relative sales performance of the product in its category. Specifically, FBM increases the BSR of grocery products by 60% relative to Amazon whereas the effect of FBA on BSR is mostly indistinguishable from the effect of Amazon on BSR. These results suggest that Amazon and FBA mostly perform equivalently, but both sales strategies outperform FBM. However, whether the relatively poor performance of the third‐party (FBM) shippers and sellers is due to unfair competition by Amazon remains an open question.
Environmental and biological correlates of migration phenology of tropical leaf‐litter anurans
Authors: Guedes Jhonny J. M. , Feio Renato N. , Moura Mario R. 
Published: May 2022

AbstractA plethora of semi‐aquatic species perform seasonal migrations to reproduce, with migration timing often relating to several factors. Human‐induced environmental changes may disrupt the migration phenology of many taxa. Improving our knowledge on drivers of migration phenology helps to elucidate the impacts of climate change upon biodiversity. Herein, we applied circular analyses to investigate how biological and environmental factors affect the migration phenology of leaf litter frogs in an Atlantic forest remnant. We observed the synchronous arrival at ponds of adults Physalaemus, likely due to its short breeding period and opportunistic breeding strategy. Large‐sized females arrived earlier than small‐sized ones at the ponds likely due to their higher movement potential. Temperature, precipitation and photoperiod affected the immigration phenology of females, but not of males. Only photoperiod affected emigration phenology of male Physalaemus. The higher responsiveness of females to environmental cues suggests they migrate when environmental conditions are optimal. Lastly, the emigration phenology of juvenile Physalaemus occurred in ‘bursts’, with precipitation likely triggering departure from ponds. Overall, we showed that sex‐related differences in responses to environmental cues could exacerbate phenological shifts in amphibian migrations due to environmental changes, and potentially impact the mating success of forest‐dependent pond‐breeding species.
A novel risk score for disease control prediction of chronic rhinosinusitis
Authors: Jiang Lijie , Wang Kanghua , Lin Tengjiao , Jiang Yifeng , Gao Wenxiang , Li Cong , Huang Zhaoqi , Chen Chuxin , Nie Zhiyin , Zheng Rui , Sun Yueqi , Shi Jianbo , Lai Yinyan 
Published: May 2022

AbstractObjectivesTo assess the impact of risk factors on the disease control among chronic rhinosinusitis (CRS) patients, following 1 year of functional endoscopic sinus surgery (FESS), and combining the risk factors to formulate a convenient, visualised prediction model.DesignA retrospective and nonconcurrent cohort study.Setting and ParticipantsA total of 325 patients with CRS from June 2018 to July 2020 at the First Affiliated Hospital of Sun Yat‐sen University, the Third Affliated Hospital of Sun Yat‐sen University, the Seventh Affiliated Hospital of Sun Yat‐sen University.Main Outcomes MeasuresOutcomes were time to event measures: the disease control of CRS after surgery 1 year. The presence of nasal polyps, smoking habits, allergic rhinitis (AR), the ratio of tissue eosinophil (TER) and peripheral blood eosinophil count (PBEC) and asthma was assessed. The logistic regression models were used to conduct multivariate and univariate analyses. Asthma, TER, AR, PBEC were also included in the nomogram. The calibration curve and area under curve (AUC) were used to evaluate the forecast performance of the model.ResultsIn univariate analyses, most of the covariates had significant associations with the endpoints, except for age, gender and smoking. The nomogram showed the highest accuracy with an AUC of 0.760 (95% CI, 0.688–0.830) in the training cohort.ConclusionsIn this cohort study that included the asthma, AR, TER, PBEC, which had significantly affected the disease control of CRS after surgery. The model provided relatively accurate prediction in the disease control of CRS after FESS and served as a visualised reference for daily diagnosis and treatment.
Model‐based dose selection to inform translational clinical oncology development of WNT974, a first‐in‐class Porcupine inhibitor
Authors: Ji Yan , Huang Pai‐Hsi , Woolfenden Steve , Myers Andrea 
Published: May 2022

AbstractWNT974 is a potent, selective, and orally bioavailable first‐in‐class inhibitor of Porcupine, a membrane‐bound O‐acyltransferase required for Wnt secretion, currently under clinical development in oncology. A phase I clinical trial is being conducted in patients with advanced solid tumors. During the dose‐escalation part, various dosing regimens, including once or twice daily continuous and intermittent dosing at a dose range of 5–45 mg WNT974 were studied, however, the protocol‐defined maximum tolerated dose (MTD) was not established based on dose‐limiting toxicity. To assist in the selection of the recommended dose for expansion (RDE), a model‐based approach was utilized. It integrated population pharmacokinetic (PK) modeling and exposure–response analyses of a target‐inhibition biomarker, skin AXIN2 mRNA expression, and the occurrence of the adverse event, dysgeusia. The target exposure range of WNT974 that would provide a balance between target inhibition and tolerability was estimated based on exposure–response analyses. The dose that was predicted to yield an exposure within the target exposure range was selected as RDE. This model‐based approach integrated PK, biomarker, and safety data to determine the RDE and represented an alternative as opposed to the conventional MTD approach for selecting an optimal biological dose. The strategy can be broadly applied to select doses in early oncology trials and inform translational clinical oncology drug development.