bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tracing the international arrivals of SARS-CoV-2 Omicron variants after Aotearoa New Zealand reopened its border
Authors: Douglas Jordan , Winter David , Ren Xiaoyun , McNeill Andrea , Bunce Michael , French Nigel , Hadfield James , de Ligt Joep , Welch David , Geoghegan Jemma L 
Published: July 2022

AbstractRecently there has been a surge in emergent SARS-CoV-2 lineages that are able to evade both vaccine induced immunity as well as prior infection from the founding Omicron BA.1 and BA.2 lineages. These highly transmissible and evasive lineages are on the rise and include Omicron variants BA.2.12.1, BA.4, and BA.5. Aotearoa New Zealand recently reopened its borders to many travellers, without their need to enter quarantine. By generating 10,403 complete SARS-CoV-2 genomes classified as Omicron, we show that New Zealand is observing an influx of these immune-evasive variants through the border. Specifically, there has been a recent surge of BA.5 and BA.2.12.1 introductions into the community and these can be explained by the gradual return to pre-pandemic levels of international traveller arrival rates. We estimate there is one Omicron transmission event from the border to the community for every ∼5,000 passenger arrivals into the country, or around one introduction event per day at the current levels of travel. Given the waning levels of population immunity, this rate of importation presents the risk of a large wave in New Zealand during the second half of 2022. Genomic surveillance, coupled with modelling the rate at which new variants cross the border into the community, provides a lens on the rate at which new variants might gain a foothold and trigger new waves of infection.
Understanding the impact of third-party species on pairwise coexistence
Authors: Deng Jie , Taylor Washington , Saavedra Serguei 
Published: July 2022

AbstractThe persistence of virtually every single species depends on both the presence of other species and the specific environmental conditions in a given location. Because in natural settings many of these conditions are unknown, research has been centered on finding the fraction of possible conditions (probability) leading to species coexistence. The focus has been on the persistence probability of an entire multispecies community (formed of either two or more species). However, the methodological and philosophical question has always been whether we can observe the entire community and, if not, what the conditions are under which an observed subset of the community can persist as part of a larger multispecies system. Here, we derive long-term (using analytical calculations) and short-term (using simulations and experimental data) system-level indicators of the effect of third-party species on the coexistence probability of a pair (or subset) of species under unknown environmental conditions. We demonstrate that the fraction of conditions incompatible with the possible coexistence of a pair of species tends to become vanishingly small within systems of increasing numbers of species. Yet, the probability of pairwise coexistence in isolation remains approximately the expected probability of pairwise coexistence in more diverse assemblages. In addition, we found that when third-party species tend to reduce (resp. increase) the coexistence probability of a pair, they tend to exhibit slower (resp. faster) rates of competitive exclusion. Long-term and short-term effects of the remaining third-party species on all possible specific pairs in a system are not equally distributed, but these differences can be mapped and anticipated under environmental uncertainty.Author SummaryIt is debated whether the frequency with which two species coexist in isolation or within a single environmental context is representative of their coexistence expectation within larger multispecies systems and across different environmental conditions. Here, using analytical calculations, simulations, and experimental data, we show why and how third-party species can provide the opportunity for pairwise coexistence regardless of whether a pair of species can coexist in isolation across different environmental conditions. However, we show that this opportunity is not homogeneously granted across all pairs within the same system. We provide a framework to understand and map the long-term and short-term effects that third-party species have on the coexistence of each possible subset in a multispecies system.
A systematic method for detecting abnormal mRNA splicing and assessing its clinical impact in individuals undergoing genetic testing for hereditary cancer syndromes
Authors: Kamps-Hughes Nick , Carlton Victoria E.H. , Fresard Laure , Osazuwa Steve , Starks Elizabeth , Vincent John J. , Albritton Sarah , Nussbaum Robert L. , Nykamp Keith 
Published: July 2022

ABSTRACTNearly 14% of disease-causing germline variants result from disruption of mRNA splicing. Most (67%) DNA variants predicted in silico to disrupt splicing end up classified as variants of uncertain significance (VUS). We developed and validated an analytic workflow — Splice Effect Event Resolver (SPEER) — that uses mRNA sequencing to reveal significant deviations in splicing, pinpoints the DNA variants potentially responsible, and measures the deleterious effect of the altered splicing on mRNA transcripts, providing evidence to assess the pathogenicity of the variant. SPEER was used to analyze leukocyte RNA encoding 63 hereditary cancer syndrome genes in 20,317 individuals undergoing clinical genetic testing. Among 3,563 (17.5%) individuals with at least one DNA variant predicted to affect splicing, 971 (4.8%) had altered splicing with a deleterious effect on the transcript and 31 had altered splicing due to a DNA variant located outside our laboratory’s reportable range. Integrating SPEER results into variant interpretation allowed reclassification of VUS to P/LP in 0.4% and to B/LB in 5.9% of the 20,317 patients. SPEER evidence had a significantly higher impact on allowing P/LP and B/LB interpretations in non-White individuals than in non-Hispanic White individuals, illustrating that evidence derived from RNA splicing analysis may reduce ethnic/ancestral disparities in genetic testing.
Risk Assessments of COVID-19 Exposure of Government-owned Public Health Center Physicians According to WHO in Indonesia
Authors: Suryatma Anton , Purnamasari Telly , Hendarwan Harimat 
Published: July 2022

ABSTRACTIn 2020, the death of physicians due to COVID-19 in Indonesia raises questions about the condition that caused the incident. What was the situation at the early stage of the pandemic, the use of WHO’s Risk Assessment questionnaire, and what lesson was learned about it? A Cross-sectional survey, using blast mail surveys targeting the Government-owned Public Health Center Physician’s WhatsApp application across Indonesia had held. A Self-administered questionnaire, using WHO’s “Risk assessment and management of exposure of health care workers in the context of Covid-19” which has been translated into Bahasa Indonesia. As result, there were 2.099 responses eligible for this study. At the early stage of the pandemic, 99,29% of Government-owned Public Health Center Physicians were at high risk of COVID-19 exposure. Its because on average 64,23% of the respondent not use PPE correctly, 15,53% of respondents still performing actions that produced aerosols in health centers, or 22,73% of respondents got biological accidents. At the early stage of the pandemic in Indonesia marked by the scarcity of PPE, the lack of awareness from the physicians and or the government make a double burden on the physicians. As for the use of questionnaires, there were challenging issues in conducting the study, such as respondents feeling redundant in answering the questionnaire. It is recommended that the Central and Regional Governments, health centers, and hospitals increase their commitment to protecting physicians from possible exposure to Covid-19, among others, through meeting standard APD needs, maintaining the cleanliness of health care facilities, updating the skill and knowledge about pandemics on physicians, and providing adequate incentives. The physician is also expected to adapt in many ways.
Accuracy of the drug dependency checkbox on the Maine birth certificate for Medicaid-covered births, 2016-2020
Authors: Dudley Julia , McGuire Catherine , Kumarage Apsara , Anumaka Chinonye , Ahrens Katherine A. 
Published: July 2022

ABSTRACTIntroductionThe accuracy of the drug dependency checkbox on the Maine birth certificate is unknown. Our objective was to compare the drug dependency checkbox with information on substance use disorders as documented in Medicaid claims data.MethodsUsing rule-based deterministic matching, we linked Medicaid enrollment information to 2016–2020 Maine birth record data (N=58,584). Among the linked records (n=27,448), we identified maternal substance use disorder (SUD) diagnoses during the 280 days before through 7 days after delivery using ICD-CM-10 diagnosis codes. We used the following hierarchy to create mutually exclusive SUD categories: opioid use disorder (OUD), cannabis use disorder without cocaine use disorder, and other SUD disorders (alcohol, cocaine, nicotine, or other).ResultsAmong women enrolled in Medicaid at the time of delivery, 12% had drug dependency indicated on their birth record and 33% had at least one SUD diagnosis recorded in their Medicaid claims. Among the birth records with the drug dependency indicated, 56% had an OUD, 25% cannabis use disorder without cocaine use disorder, 8% other SUD, and 10% had no SUD. Among those without drug dependency indicated, the corresponding percentages were 4%, 9%, 13%, and 75%.DiscussionAlthough diagnoses of OUD and cannabis use disorder were more common among birth records with the drug dependency checkbox checked, reporting of drug dependency on the birth record does not appear to accurately indicate SUD during pregnancy.ConclusionsOur findings suggest the drug dependency checkbox on the Maine birth certificate may be of limited value in identifying SUD during pregnancy.
An Evaluation of the Safety and Immunogenicity of MVC-COV1901: Results of an interim analysis of a phase III, parallel group, randomized, double-blind, active-controlled study
Authors: Torales Julio , Cuenca-Torres Osmar , Barrios Laurentino , Armoa- Garcia Luis , Estigarribia Gladys , Sanabria Gabriela , Lin Meei-Yun , Estrada Josue Antonio , Estephan Lila , Cheng Hao-Yuan , Chen Charles , Janssen Robert , Lien Chia-En 
Published: July 2022

AbstractBackgroundData from previous studies of the MVC-COV1901 vaccine, a subunit vaccine against SARS-CoV-2 based on the stable prefusion spike protein (S-2P) adjuvanted with CpG 1018 adjuvant and aluminum hydroxide, suggest that the vaccine is generally safe and elicits a good immune response in healthy adults and adolescents. By comparing with AZD1222, this study adds to the findings from previous trials and further evaluates the breadth of protection offered by MVC-COV1901.MethodsIn this phase 3, parallel group, randomized, double-blind, active-controlled trial conducted in 2 sites in Paraguay, we assigned adults aged 18 to 91 years in a 1:1 ratio to receive intramuscular doses of MVC-COV1901 or AZD1222 administered as scheduled in the clinical trial. Serum samples were collected on the day of vaccination and 14 days after the second dose. Primary and secondary safety and immunogenicity endpoints were assessed. In addition, other outcomes investigated were cross-reactive immunity against the Omicron strain and the induction of IgG subclasses.ResultsA total of 1,030 participants underwent randomization. Safety data was derived from this set while primary immunogenicity data involved a per-protocol immunogenicity (PPI) subset including 225 participants. Among the participants, 58% are seropositive at baseline. When compared against AZD1222, MVC-COV1901 exhibited superiority in terms of neutralizing antibody titers and non-inferiority in terms of seroconversion rates. Reactogenicity was generally mild and no serious adverse event was attributable to MVC-COV1901. Both vaccines have a Th1-biased response predominated by the production of IgG1 and IgG3 subclasses. Omicron-neutralizing titers were 44.5 times lower compared to wildtype-neutralizing titers among seronegative individuals at baseline. This fold-reduction was 3.0 times among the seropositive.ConclusionResults presented here demonstrate the safe and robust immunogenicity from MVC-COV1901. Previous infection coupled with vaccination of this vaccine may offer protection against the Omicron strain though its durability is still unknown.ClinicalTrials.gov registrationNCT05011526
Modeling of factors affecting supplier selection on start-ups during frequent pandemic episodes like COVID-19
Authors: Sreenivasan Aswathy , Shah Bhavin , Suresh M. 
Published: July 2022

PurposeIn developing countries such as India, start-ups play an essential role in “industrial output,” “Gross Domestic Product ” and “employment creation.” Evidence suggests that pandemics have risen over the last century due to rising global travel and assimilation, urbanization, alterations in land use, and significantly larger exploitation of the natural environment. These trends are likely to continue and intensify. These pandemic episodes affect businesses, especially start-ups. Supplier selection is among the vital critical elements that start-ups must include in start-ups' strategy procedures during the pandemic episodes. This study's focus is to “identify,” “analyze,” and “categorize” the factors affecting supplier selection in start-ups during frequent pandemic episodes like coronavirus disease 2019 (COVID-19).Design/methodology/approachThrough “literature review” and “experts' opinion” from various start-ups in India, ten affecting factors were identified. Total Interpretative Structural Modeling (TISM) and Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) were employed to analyze the interrelationship among the factors affecting the supplier selection on start-ups during frequent pandemic episodes, and these factors were ranked as “autonomous,” “independent,” “linkage,” and “dependent” factors.FindingsThe findings show that “performance history,” “service levels,” “technical capability,” and “financial stability” are the most critical factors affecting the supplier selection on start-ups during frequent pandemic episodes. The next importance should be safety and environmental concern” and “quality.”Research limitations/implicationsThe factors affecting supplier selection on start-ups during frequent pandemic episodes are the current focus of this study. This study is mainly performed on Indian start-ups and can be extended to other countries.Practical implicationsThe start-ups can rely on this study to clearly understand the factors affecting the supplier selection on start-ups during frequent pandemic episodes.Originality/valueThere is no research regarding factors affecting supplier selection on start-ups during the COVID-19 emergencies. This research gap is filled by analyzing aspects linked to supplier selection in start-ups. This gap inspired the present study, which employs the “Total Interpretive Structural Modeling (TISM)” technique to uncover supplier selection determinants and investigate hierarchical interconnections among factors influencing/affecting supplier selection in start-ups during frequent pandemic episodes.
Enhancing IT industry employees’ service innovation performance: antecedents and outcomes of service innovation engagement
Authors: Pai Peiyu , Tsai Hsien-Tung , Zhong Jun-Yu 
Published: July 2022

PurposeThis study aims to explore how information technology (IT) companies that provide professional information systems/IT solutions to business clients can enhance employees’ service innovation performance.Design/methodology/approachSelf-reported data were collected from 251 employees over two periods, along with their supervisor-reported data. The model was tested using structural equation modeling.FindingsEmployees’ engagement fully mediates the impact of innovative self-efficacy and social identification on service innovation performance. Employees’ customer orientation and feeling trusted both strengthen the transformation of service innovation engagement into service innovation performance. However, IT employees’ embeddedness, unexpectedly, significantly weakens the link between engagement and performance in business-to-business (B2B) service innovation contexts.Research limitations/implicationsThe sample was collected in Taiwan, where the IT industry is dominant and employees’ values and team interactions are influenced by Chinese culture. Data drawn from a single industry, involving a particular culture, limit claims of external validity.Practical implicationsManagers can encourage participative decision-making, or hold official platforms where peers and clients can exchange ideas, leading to higher levels of feeling trusted and customer orientation, which both strengthen the link between service innovation engagement and performance. Moreover, highly embedded members can easily discuss novel ideas with team members and obtain improvement-oriented feedback, which ensures highly embedded members can keep focusing on service innovation.Originality/valueThis study provides a more nuanced picture of predictive factors for individual innovation behavior in B2B service innovation contexts in which employees provide business clients with professional, innovative IT solutions through team-based projects.
Substitution and complementarity dynamics in configurations of sustainable management practices
Authors: Song Wenyan , Han Yi Hubert , Sroufe Robert 
Published: July 2022

PurposePrevious research tends to study various sustainable management practices (SMPs) in isolation, leading to inconsistent conclusions about the effect of SMP on firm profit. This research aims to advance the understanding of the linkage between SMP configurations and financial performance by revealing the dynamics of substitutions and complementarities among these SMPs.Design/methodology/approachThe authors conducted an exploratory study based on the theoretical lens of the practice-based view (PBV). An integrated text-mining approach is used in gathering data from 302 corporate reports of cross-sectional firms, followed by a fuzzy-set qualitative comparative analysis method to examine the configurations of SMPs in achieving high and low financial performance.FindingsThe findings show that green innovation practices (GIP) and cleaner production practices work together as complements for small firms in configurations associated with high profits. However, large companies in high-competition industries often adopt a minimalist configuration focusing on product quality and safety management (PQSM). PQSM and GIP are complements in configuration for small firms in high-competition industries, while they work together as substitutes for small firms in low-competition industries.Practical implicationsThis research provides managers with a new way of thinking to support decision-making in sustainable operations management. The complementary and substitutive view of management practice can guide operations managers to design and implement effective practice configurations to achieve synergistic effects.Originality/valueThis is among the first studies to reveal the complex relationship between various configurations of SMPs and firm performance. In addition, this research offers new insights into previously inconsistent findings from a PBV and configuration perspective.
Tourism seasonality management strategies – what can we learn from payment data
Authors: Ramos Luis Moura , Sol Murta Fátima 
Published: July 2022

PurposeA convenient payment system is increasingly recognized as an asset of tourism destinations. By using data on payments with cards issued in foreign countries, together with other monthly tourism flow variables, the authors assess the importance of card payments to identify seasonality in inbound tourism in Portugal.Design/methodology/approachThe authors compute seasonality measures using Portuguese data on card payments from 2003 to 2019, together with data on nights spent and the Balance of Payments travel credit. The authors also assess seasonal behaviour in the timespan of the different tourism strategic plans in place during this period.FindingsCard payments grew at a faster pace than the other inbound tourism variables and show a seasonal pattern similar to the other variables. Seasonality decreases when variables measured in quantities are considered (nights spent and number of card transactions). However, when the authors use value variables (Balance of Payments travel credit and value of card transactions), seasonality in 2019 is higher than in 2003.Research limitations/implicationsThe widespread use of digital payments makes card payment information an even better proxy of tourism activity and since it is available in a short time-span it has informational potential for tourism stakeholders and for researchers in this field.Originality/valueThe authors study the seasonal behaviour of foreign card payments along with other international tourism flow variables. The authors’ results highlight the informational potential of card payment data and the importance of electronic payment infrastructure for tourist activity.
Credit supervision and trading strategy of rural e-commerce based on evolutionary game
Authors: Bai Qun , Tan Senming , Yuelong Zheng , Su Jiafu , Tingting Li 
Published: July 2022

PurposeThis study investigates the credit supervision issue in rural e-commerce. By studying the trading strategies of buyers and sellers under different credit supervision measures and the impact of different pricing strategies on the trading strategies of both parties, this paper proposes regulatory suggestions for the increasingly severe credit problems in rural e-commerce.Design/methodology/approachIn the online agricultural product transaction between farmers and consumers, both parties' decision-making is a dynamic process. Using the copying dynamic model of the evolutionary game, this study establishes two evolutionary game models to explore the factors affecting credit supervision in the rural e-commerce transaction process. Then, the study provides corresponding countermeasures and suggestions.FindingsFirst, credit supervision measures implemented by rural e-commerce platforms and the Government's legal system construction and infrastructure construction guarantees influence both parties' trust choices in rural e-commerce transactions. Second, price is a key factor affecting both parties' trading strategies. In the case of relatively fair prices, the higher the proportion of farmers who choose “low price” and “honest transaction” strategies, the easier that is for consumers to choose to trust farmers. In contrast, the higher the price, the higher the proportion of consumers who choose the “trust farmers” strategy, and the more willing farmers are to choose honest transactions.Originality/valueThis work develops a new approach for analyzing rural e-commerce credit supervision. Moreover, this study helps establish and improve the credit supervision mechanism of rural e-commerce and further realize the long-term sustainable development of the rural economy.