bluuebunny/crossref_metadata_2025_split huggingface dataset:
The mycobacterial mutasome: composition and recruitment in live cells
Authors: Gessner Sophia , Martin Zela , Reiche Michael A. , Santos Joana A. , Dhar Neeraj , Dinkele Ryan , De Wet Timothy , Ramudzuli Atondaho , Anoosheh Saber , Lang Dirk M. , Aaron Jesse , Chew Teng-Leong , Herrmann Jennifer , Müller Rolf , McKinney John D. , Woodgate Roger , Mizrahi Valerie , Lamers Meindert H. , Warner Digby F. 
Published: November 2021

ABSTRACTA DNA damage-inducible mutagenic gene cassette has been implicated in the emergence of drug resistance in Mycobacterium tuberculosis during anti-tuberculosis (TB) chemotherapy. However, the molecular composition and operation of the encoded “mycobacterial mutasome” – minimally comprising DnaE2 polymerase and ImuA′ and ImuB accessory proteins – remain elusive. Following exposure of mycobacteria to DNA damaging agents, we observe that DnaE2 and ImuB co-localize with the DNA polymerase III β subunit (β clamp) in distinct intracellular foci. Notably, genetic inactivation of the mutasome in an imuBAAAAGG mutant containing a disrupted β clamp-binding motif abolishes ImuB-β clamp focus formation, a phenotype recapitulated pharmacologically by treating bacilli with griselimycin and in biochemical assays in which this β clamp-binding antibiotic collapses pre-formed ImuB-β clamp complexes. These observations establish the essentiality of the ImuB-β clamp interaction for mutagenic DNA repair in mycobacteria, identifying the mutasome as target for adjunctive therapeutics designed to protect anti-TB drugs against emerging resistance.
Continuous decision to wait for a future reward is guided by fronto-hippocampal anticipatory dynamics
Authors: Shintaki Reiko , Tanaka Daiki , Suzuki Shinsuke , Yoshimoto Takaaki , Sadato Norihiro , Chikazoe Junichi , Jimura Koji 
Published: November 2021

AbstractDeciding whether to wait for a future reward is crucial for acquiring rewards in an uncertain world and involves anticipating future reward attainment. While seeking for a reward in natural environments, behavioral agents constantly face a trade-off between staying in their current environment or leaving it. It remains unclear, however, how humans make continuous decisions in such situations. Here we show that anticipatory brain activity in the anterior prefrontal cortex (aPFC) and hippocampus underpins continuous stay-leave decision making. Human participants awaited for real liquid rewards available after tens of seconds, and continuous decision was tracked by monitoring dynamic patterns of brain activity. Participants stopped waiting more frequently and sooner after they experienced longer delays and received smaller rewards. When dynamic activity reflecting the anticipation of a future reward was enhanced in the aPFC, participants remained in their current environment, but when this activity diminished, they left the environment for a new one. The anticipatory activity in the aPFC and hippocampus was associated with distinct decision strategies; aPFC activity was enhanced in participants adopting a leave strategy, whereas those remaining stationary showed enhanced activity in the hippocampus. Our results suggest that fronto-hippocampal anticipatory dynamics underlie continuous decision making while anticipating a future reward.
Proteomic analysis of rice leaves following treatment of Xanthomonas oryzae pv. oryzae secreted cell wall degrading enzyme
Authors: Kumar Anirudh , Malukani Kamal Kumar , Pamidimukkala Ramya , Patel Hitendra Kumar , Sonti Ramesh V 
Published: November 2021

AbstractBacterial Blight (BB) disease caused by Xanthomonas oryzae pv. oryzae (Xoo), is one of the most devastating diseases in various rice cultivating countries. Xoo secretes a mixture of plant cell wall degrading enzymes (CWDEs) such as cellulases, lipases, xylanases, and proteases to degrade different components of the plant cell wall. LipA; a lipase/esterase, is one such Xoo secreted CWDE and is an important virulence factor of Xoo. Treatment of rice tissue with purified LipA induces immune responses. In this study, a LC-MS based proteomics study was performed to identify the differentially expressed proteins (DEPs) in rice following LipA treatment. A total of 212 proteins were identified in control and 201 proteins in LipA treated samples. There were 151 proteins common between control and treatment. Fold change analysis of these common proteins through SIEVE identified 26 upregulated and 49 downregulated proteins by at least ≥1.5 fold in the LipA treated sample. Pathway analysis indicated that many proteins related to redox regulation, photosynthesis, and translation are differentially expressed after LipA treatment. We also observed that some of the differentially expressed proteins contain translation regulatory elements that may regulate translation after LipA treatment. The comparison of proteomics data with previously performed transcriptome analysis indicated that different sets of genes and pathways are altered in both the analyses.
Characterization of Clustered MHC-Linked Olfactory Receptor Genes in Human and Mouse
Authors: Younger Ruth M. , Amadou Claire , Bethel Graeme , Ehlers Anke , Lindahl Kirsten Fischer , Forbes Simon , Horton Roger , Milne Sarah , Mungall Andrew J. , Trowsdale John , Volz Armin , Ziegler Andreas , Beck Stephan 
Published: November 2021

Olfactory receptor (OR) loci frequently cluster and are present on most human chromosomes. They are members of the seven transmembrane receptor (7-TM) superfamily and, as such, are part of one of the largest mammalian multigene families, with an estimated copy number of up to 1000 ORs per haploid genome. As their name implies, ORs are known to be involved in the perception of odors and possibly also in other, nonolfaction-related, functions. Here, we report the characterization of ORs that are part of the MHC-linked OR clusters in human and mouse (partial sequence only). These clusters are of particular interest because of their possible involvement in olfaction-driven mate selection. In total, we describe 50 novel OR loci (36 human, 14 murine), making the human MHC-linked cluster the largest sequenced OR cluster in any organism so far. Comparative and phylogenetic analyses confirm the cluster to be MHC-linked but divergent in both species and allow the identification of at least one ortholog that will be useful for future regulatory and functional studies. Quantitative feature analysis shows clear evidence of duplications of blocks of OR genes and reveals the entire cluster to have a genomic environment that is very different from its neighboring regions. Based on in silico transcript analysis, we also present evidence of extensive long-distance splicing in the 5′-untranslated regions and, for the first time, of alternative splicing within the single coding exon of ORs. Taken together with our previous finding that ORs are also polymorphic, the presented data indicate that the expression, function, and evolution of these interesting genes might be more complex than previously thought.[The sequence data described in this paper have been submitted to the EMBL nucleotide data library under accession nos.Z84475, Z98744, Z98745, AL021807, AL021808, AL022723, AL022727,AL031893, AL035402, AL035542, AL050328, AL050339, AL078630, AL096770,AL121944, AL133160, and AL133267.]
Identification and Characterization of a Homozygous Deletion Found in Ovarian Ascites by Representational Difference Analysis
Authors: Watson J.E. Vivienne , Gabra Hani , Taylor Karen J. , Rabiasz Genevieve J. , Morrison Harris , Perry Paul , Smyth John F. , Porteous David J. 
Published: November 2021

We have performed representational difference analysis (RDA) on DNA from tumor cells and normal fibroblasts isolated from the ascites of a patient with ovarian cancer. Five of six products of the RDA were homozygously deleted from the tumor DNA. One of these products has been characterized and identifies a homozygous deletion of ∼6.9 Mb at chromosome 9p21 in the original ovarian tumor material. This deletion encompasses CDKN2A (p16), CDKN2B (p15), and IFN-α. PCR analysis of other tumor cell lines using the novel STS based on the RDA product has shown it to lie between IFN-α and p16, and to identify the distal extent of a homozygous deletion in another ovarian cancer cell line. These data provide further evidence for a tumor suppressor locus distinct from, but mapping close to, p16 on 9p21. Cytogenetic analysis using comparative genomic hybridization (CGH) performed on the same primary tumor confirmed a loss of material from chromosome 9p. However, the CGH technique had neither the resolution nor the sensitivity to define a subregion of homozygous loss.[The GenBank accession no. for this sequence is AF113912.]
Fluorescence Polarization in Homogeneous Nucleic Acid Analysis
Authors: Chen Xiangning , Levine Leanna , Kwok Pui-Yan 
Published: November 2021

A new method for DNA diagnostics based on template-directed primer extension and detection by fluorescence polarization is described. In this method, amplified genomic DNA containing a polymorphic locus is incubated with oligonucleotide primers (designed to hybridize to the DNA template adjacent to the polymorphic site) in the presence of allele-specific dye-labeled dideoxyribonucleoside triphosphates and a commercially available modified Taq DNA polymerase. The primer is extended by the dye-terminator specific for the allele present on the template, increasing ∼10-fold the molecular weight of the fluorophore. At the end of the reaction, the fluorescence polarization of the two dye-terminators in the reaction mixture are analyzed directly without separation or purification. This homogeneous DNA diagnostic method is shown to be highly sensitive and specific and is suitable for automated genotyping of large number of samples.[The data shown in Figure 3 are available as an online supplement at http://www.genome.org.]
Attributes of product advantage and choices for manufacturer–retailer formal governance: the case of new product launch
Authors: Zheng Songyue , Qian Liping , Yang Pianpian 
Published: November 2021

PurposeThis study examined how the technological (tech) advantage and market advantage of new products influence the level of formal channel governance and, in turn, affect the success of new products in the presence of relational governance.Design/methodology/approachThe hypotheses are tested using the partial least squares approach to analyse survey data collected from 392 retailers of customer goods in China.FindingsThe results indicate that tech advantage and market advantage lead to an increase in retailers' transaction-specific investments (TSIs) and contract explicitness, respectively; the positive effect of market advantage on a retailer's TSIs will gradually decrease and will even become negative beyond a certain point. The relational governance mechanism can substitute for the effects of contract explicitness on improving new product success.Originality/valueThis research provides a new perspective for understanding new product advantage and exerts an initial effort to empirically distinguish between tech advantage and market advantage. It enriches the innovation literature by examining the governance of new product launches through retailers and explores the effects of formal and informal governance on channel cooperation performance in the new product launch stage.
Performance analysis of selected metaheuristic optimization algorithms applied in the solution of an unconstrained task
Authors: Knypiński Łukasz 
Published: November 2021

Purpose
The purpose of this paper is to execute the efficiency analysis of the selected metaheuristic algorithms (MAs) based on the investigation of analytical functions and investigation optimization processes for permanent magnet motor.

Design/methodology/approach
A comparative performance analysis was conducted for selected MAs. Optimization calculations were performed for as follows: genetic algorithm (GA), particle swarm optimization algorithm (PSO), bat algorithm, cuckoo search algorithm (CS) and only best individual algorithm (OBI). All of the optimization algorithms were developed as computer scripts. Next, all optimization procedures were applied to search the optimal of the line-start permanent magnet synchronous by the use of the multi-objective objective function.

Findings
The research results show, that the best statistical efficiency (mean objective function and standard deviation [SD]) is obtained for PSO and CS algorithms. While the best results for several runs are obtained for PSO and GA. The type of the optimization algorithm should be selected taking into account the duration of the single optimization process. In the case of time-consuming processes, algorithms with low SD should be used.

Originality/value
The new proposed simple nondeterministic algorithm can be also applied for simple optimization calculations. On the basis of the presented simulation results, it is possible to determine the quality of the compared MAs.
Data repair of density-based data cleaning approach using conditional functional dependencies
Authors: Al-Janabi Samir , Janicki Ryszard 
Published: November 2021

PurposeData quality is a major challenge in data management. For organizations, the cleanliness of data is a significant problem that affects many business activities. Errors in data occur for different reasons, such as violation of business rules. However, because of the huge amount of data, manual cleaning alone is infeasible. Methods are required to repair and clean the dirty data through automatic detection, which are data quality issues to address. The purpose of this work is to extend the density-based data cleaning approach using conditional functional dependencies to achieve better data repair.Design/methodology/approachA set of conditional functional dependencies is introduced as an input to the density-based data cleaning algorithm. The algorithm repairs inconsistent data using this set.FindingsThis new approach was evaluated through experiments on real-world as well as synthetic datasets. The repair quality was determined using the F-measure. The results showed that the quality and scalability of the density-based data cleaning approach improved when conditional functional dependencies were introduced.Originality/valueConditional functional dependencies capture semantic errors among data values. This work demonstrates that the density-based data cleaning approach can be improved in terms of repairing inconsistent data by using conditional functional dependencies.
A content analysis of hospitality research's research methods in the 2010s
Authors: Shum Cass , Garlington Jaimi , Ghosh Ankita , Baloglu Seyhmus 
Published: November 2021

PurposeThis study aims to describe the development of hospitality research in terms of research methods and data sources used in the 2010s.Design/methodology/approachContent analyses of the research methods and data sources used in original hospitality research published in the 2010s in the Cornell Hospitality Quarterly (CQ), International Journal of Hospitality Management (IJHM), International Journal of Contemporary Hospitality Management (IJCHM), Journal of Hospitality and Tourism Research (JHTR) and International Hospitality Review (IHR) were conducted. It describes whether the time span, functional areas and geographic regions of data sources were related to the research methods and data sources.FindingsResults from 2,759 original hospitality empirical articles showed that marketing research used various research methods and data sources. Most finance articles used archival data, while most human resources articles used survey designs with organizational data. In addition, only a small amount of research used data from Oceania, Africa and Latin America.Research limitations/implicationsThis study sheds some light on the development of hospitality research in terms of research method and data source usage. However, it only focused on five English-based journals from 2010–2019. Therefore, future studies may seek to understand the impact of the COVID-19 pandemic on research methods and data source usage in hospitality research.Originality/valueThis is the first study to examine five hospitality journals' research methods and data sources used in the last decade. It sheds light on the development of hospitality research in the previous decade and identifies new hospitality research avenues.
Policy turmoil in China: a barrier for FDI flows?
Authors: Su Chi Wei , Meng Xian-Li , Tao Ran , Umar Muhammad 
Published: November 2021

PurposeThis research examines the dynamic interrelationship between economic policy uncertainty (EPU) and the inflows of foreign direct investment (IFDI) in China.Design/methodology/approachThis research used the Granger causality and sub-sample time-varying rolling window causality method.FindingsThe empirical results reveal that EPU tends to have a negative impact on the IFDI in most periods that have been taken into consideration. However, there has been a positive relationship observed between the periods of the US subprime crisis. That is to say that the uncertainty of the Chinese economic policy does not always impede the IFDI. These results are supported by the general equilibrium model, which states that there are certain influences that come into play when moving from EPU to IFDI. On the other hand, the IFDI exert a positive influence on EPU during times of economic crisis and trade war, which indicates that the uncertainty in the economy may increase due to the sudden soar of foreign investment.Originality/valueDuring tense global trade situations and complicated economic scenarios, the results suggest the Chinese government should dedicate itself to expanding its initiatives to open up and improve the domestic business environment in order to increase the foreign investors' confidence and prevent the decline in the IFDI. In addition to this, it also suggests that multinational companies pay attention to the policy environment of the host country, especially when they decide to invest there.
Selection of resilient suppliers in manufacturing industries post-COVID-19: implications for economic and social sustainability in emerging economies
Authors: Majumdar Abhijit , S Jeevaraj , Kaliyan Mathiyazhagan , Agrawal Rohit 
Published: November 2021

PurposeSelection of resilient suppliers has attracted the attention of researchers in the past one decade. The devastating effect of COVID-19 in emerging economies has provided great impetus to the selection of resilient suppliers. Under volatile and uncertain business scenarios, supplier selection is often done under imprecise and incomplete information, making the traditional decision-making methods ineffective. The purpose of this paper is to demonstrate the application of a fuzzy decision-making method for resilient supplier selection.Design/methodology/approachA group of three decision makers was considered for evaluating various alternatives (suppliers) based on their performance under different primary, sustainability and resilience criteria. Experts' opinion about each criterion and alternative was captured in linguistic terms and was modelled using fuzzy numbers. Then, an algorithm for solving resilient supplier selection problem based on the trapezoidal intuitionistic fuzzy technique for order preference by similarity to ideal solution (TrIFTOPSIS) was introduced and demonstrated through a case study.FindingsA closeness coefficient was used to rank the suppliers based on their distances from intuitionistic fuzzy positive-ideal solution and intuitionistic fuzzy negative-ideal solution. Finally, the proposed fuzzy decision making model was applied to a real problem of supplier selection in the clothing industry.Originality/valueThe presented TrIFTOPSIS model provides an effective route to prioritise and select resilient suppliers under imprecise and incomplete information. This is the first application of intuitionistic fuzzy multi-criteria decision-making for resilient supplier selection.
Does sustainability drive to create store equity? A proposal through image, quality and loyalty
Authors: Sánchez-González Irene , Gil-Saura Irene , Ruiz-Molina Maria-Eugenia 
Published: November 2021

PurposeThe present research aims to analyse the retailer's commitment to sustainable development (RCSD) perceived by the consumers and how it contributes to store equity creation through image, perceived quality and loyalty.Design/methodology/approachA primary research was conducted through a structured questionnaire to analyse the relationships between the variables included in the proposed model. The fieldwork was conducted in 2019, obtaining responses from 617 retail consumers from four cities in Ecuador – Quito, Guayaquil, Cuenca and Machala – obtained. A structural equation model is estimated with the partial least squares technique.FindingsThere is evidence in favour of the contribution of sustainability to store equity. The positive influence of RCSD on perceived quality and the impact of the latter, together with store image, contribute to loyalty, which emerges as a critical construct in building store equity.Research limitations/implicationsSome limitations of the present study – geographic scope limited to Ecuador, analyses restricted to food retailers and pre-COVID-19 data collection – may open new research opportunities replicating the study in other regions for other retail activities and in the post pandemic context.Practical implicationsThe retailer's actions demonstrate a commitment to economic, social and environmental sustainability. As a result of this, the establishment's perceived quality improves, which is of interest to academics and retail management professionals.Originality/valueThe present research provides evidence on the chain of effects that explains the positive contribution of RCSD to store equity creation in grocery retailing.
The impact of FDI on human capital development in SACU countries
Authors: Henok Winfried , Kaulihowa Teresia 
Published: November 2021

PurposeThis paper aims to examine how FDI trickle down to human capital development in SACU member states.Design/methodology/approachA longitudinal research design and feasible general least squares was used over the periods 1990 and 2018.FindingsThere is supporting evidence that FDI enhances human capital when primary school enrolment rate is used. However, the reverse holds for the secondary level of education. It can be argued that although FDI exhibits a positive effect on primary education, optimal spillovers to human capital development has not been realized. An indication that certain level of human capital may be required to ensure the optimal benefit of FDI or the types of current FDI does not enhance FDI-led-human capital hypothesis.Practical implicationsThe negative effect of FDI toward secondary level of education could be an indication of a weak absorptive capacity. SACU's current dominance of FDI activities toward extractive industries could limit potential benefit of FDI due to capacity constraints. Practical policy implications indicate that SACU member states need to ensure that it attracts FDI toward smart investment that enhances human capital development.Social implicationsThere is need to a gear FDI firms toward corporate social responsibilities that will stimulate secondary education.Originality/valueThe novelty of this paper is twofold. First, it focuses on SACU countries where majority of the people are trapped with poverty and inequality issues. Second, SACU member states have used greenfield FDI as a policy instrument to enhance human capital. However, human capital link remains weak. This creates a need to search for smart FDIs that are committed toward community transformation through human capital development.