bluuebunny/crossref_metadata_2025_split huggingface dataset:
Characterization and genome analysis of a psychrophilic methanotroph representing a ubiquitousMethylobacterspp. cluster in boreal lake ecosystems
Authors: Khanongnuch Ramita , Mangayil Rahul , Svenning Mette Marianne , Rissanen Antti Juhani 
Published: May 2022

AbstractLakes and ponds are considered as a major natural source of CH4emissions, particularly during the ice-free period in boreal ecosystems. Aerobic methane oxidizing bacteria (MOB), which utilize CH4using oxygen as an electron acceptor, are one of dominant microorganisms in the CH4-rich water columns. The metagenome-assembled genomes (MAGs) have revealed the genetic potential of MOB from boreal aquatic ecosystems for various microaerobic/anaerobic metabolic functions; however, the experimental validation of the process has not been succeeded. Additionally, psychrophilic (i.e., cold loving) MOB isolates and their CH4oxidizing process have rarely been investigated. In this study, we isolated, provided taxonomic description, and analyzed the genome ofMethylobacter sp. S3L5C, a psychrophilic MOB, from a boreal lake in Finland. Based on phylogenomic comparisons to MAGs,Methylobactersp. S3L5C represented a ubiquitous cluster ofMethylobacterspp. in boreal aquatic ecosystems. At optimal temperatures (3–12 °C) and pH (6.8–8.3), the specific growth rates (μ) and CH4utilization rate were in the range of 0.018–0.022 h-1and 0.66–1.52 mmol l-1d-1, respectively. In batch cultivation, the isolate could produce organic acids and the concentrations were elevated after replenishing CH4and air into headspace. The highest concentrations of 4.1 mM acetate, 0.02 mM malate and 0.07 mM propionate were observed at the end of the cultivation period under the optimal operational conditions. The results herein highlight the key role ofMethylobacterspp. in regulating CH4emissions and their potential to provide CH4-derived organic carbon compounds to surrounding heterotrophic microorganisms in cold ecosystems.
Impact of Shelterin Complex on Telomere Accessibility
Authors: Shiekh Sajad , Jack Amanda , Mustafa Golam , Kodikara Sineth G. , Gyawali Prabesh , Hoque Mohammed Enamul , Yildiz Ahmet , Balci Hamza 
Published: May 2022

ABSTRACTShelterin plays critical roles in maintaining and protecting telomeres by regulating access of various physiological agents to telomeric DNA. We present single molecule measurements investigating the impact of the POT1 and a four-component shelterin complex on the accessibility of human telomeric DNA overhangs with physiologically relevant lengths (28-150 nt), which to our knowledge is the first direct approach to measure this effect on such telomeric constructs. To quantify telomere accessibility, we monitored transient binding events of a short peptide nucleic acid (PNA) probe that is complementary to telomeric overhangs using FRET-PAINT. Although POT1 has a mild G-quadruplex unfolding activity, it reduced accessibility of the PNA probe by ∼2.5 fold, indicating that POT1 effectively binds to and protects otherwise exposed telomeric sequences. In comparison, a four-component shelterin reduced the accessibility of telomeric overhangs by ∼5-fold. This enhanced protection suggests shelterin restructures the region between single and double stranded telomere, which is otherwise the most accessible part of the overhang, by a synergistic cooperation of shelterin components located on single and double stranded telomere.
Fitm2 is required for ER homeostasis and normal function of murine liver
Authors: Bond Laura M. , Ibrahim Ayon , Lai Zon W. , Walzem Rosemary L. , Bronson Roderick T. , Ilkayeva Olga R. , Walther Tobias C. , Farese Robert V. 
Published: May 2022

ABSTRACTThe ER-resident protein fat-inducing transcript 2 (FIT2) catalyzes acyl-CoA cleavage in vitro and is required for endoplasmic reticulum (ER) homeostasis and normal lipid storage in cells. The gene encoding FIT2 is essential for the viability of mice and worms. Whether FIT2 acts as an acyl-CoA diphosphatase in vivo and how this activity affects liver, where the protein was discovered, are unknown. Here, we report that hepatocyte-specific Fitm2 knockout (FIT2-LKO) mice exhibited elevated acyl-CoA levels, ER stress, and signs of liver injury. FIT2-LKO mice fed a chow diet had more triglycerides in their livers than control littermates due, in part, to impaired secretion of triglyceride-rich lipoproteins and reduced capacity for fatty acid oxidation. Challenging FIT2-LKO mice with a high-fat diet to increase FIT2 acyl-CoA substrates worsened hepatic ER stress and liver injury, but unexpectedly reversed the steatosis phenotype, similar to what is observed in FIT2-deficient cells loaded with fatty acids. Our findings support the model that FIT2 acts as an acyl-CoA diphosphatase in vivo and is crucial for normal hepatocyte function and ER homeostasis in murine liver.
Subcutaneous delivery of an antibody against SARS-CoV-2 from a supramolecular hydrogel depot
Authors: Kasse Catherine M. , Yu Anthony C. , Powell Abigail E. , Roth Gillie A. , Liong Celine S. , Jons Carolyn K. , Buahin Awua , Maikawa Caitlin L. , Youssef Sawsan , Glanville Jacob E. , Appel Eric A. 
Published: May 2022

AbstractProlonged maintenance of therapeutically-relevant levels of broadly neutralizing antibodies (bnAbs) is necessary to enable passive immunization against infectious disease. Unfortunately, protection only lasts for as long as these bnAbs remain present at a sufficiently high concentration in the body. Poor pharmacokinetics and burdensome administration are two challenges that need to be addressed in order to make pre- and post-exposure prophylaxis with bnAbs feasible and effective. In this work, we develop a supramolecular hydrogel as an injectable, subcutaneous depot to encapsulate and deliver antibody drug cargo. This polymer-nanoparticle (PNP) hydrogel exhibits shear-thinning and self-healing properties that are required for an injectable drug delivery vehicle. In vitro drug release assays and diffusion measurements indicate that the PNP hydrogels prevent burst release and slow the release of encapsulated antibodies. Delivery of bnAbs against SARS-CoV-2 from PNP hydrogels is compared to standard routes of administration in a preclinical mouse model. We develop a multi-compartment model to understand the ability of these subcutaneous depot materials to modulate the pharmacokinetics of released antibodies; the model is extrapolated to explore the requirements needed for novel materials to successfully deliver relevant antibody therapeutics with different pharmacokinetic characteristics.
Mycobacterium tuberculosis genetic features associated with pulmonary tuberculosis severity
Authors: Genestet Charlotte , Refrégier Guislaine , Hodille Elisabeth , Zein-Eddine Rima , Meur Adrien Le , Hak Fiona , Barbry Alexia , Westeel Emilie , Berland Jean-Luc , Engelmann Astrid , Verdier Isabelle , Lina Gérard , Ader Florence , Dray Stéphane , Jacob Laurent , Massol François , Venner Samuel , Dumitrescu Oana 
Published: May 2022

ABSTRACTMycobacterium tuberculosis (Mtb) infections result in a wide spectrum of clinical presentations but without proven Mtb genetic determinants. Herein, 234 pulmonary tuberculosis (TB) patients were stratified according to TB disease severity and Mtb genetic features were explored using whole genome sequencing, including heterologous single nucleotide polymorphism (SNP) calling to explore micro-diversity. Clinical isolates from patients with mild TB carried mutations in genes associated with host-pathogen interaction, while those from patients with moderate/severe TB carried mutations associated with regulatory mechanisms. Genome-wide association study identified a SNP in the promoter of the gene coding for the virulence regulator EspR associated with moderate/severe disease. Structural equation modelling and model comparisons indicated that TB severity was associated with the detection of Mtb micro-diversity within clinical isolates and to the espR SNP. Taken together, these results provide a new insight to better understand TB pathophysiology and could provide new prognosis tool for pulmonary TB severity.
Learner characteristics attributable to completion and duration of completion in engineering and science degree programmes of OUSL
Authors: Navaratna Chandanie Wijayalatha , Bandarage Gunadya , Rajapaksha Appuhamilage Dilsha Nimmi , Pasqual Hemali , Rajendra Joseph Calistus Nihal , Ranasinghe Menaka D.D. , Ratnayake Uditha W. 
Published: May 2022

PurposeThe purpose of this study is to identify the learner characteristics attributable to the likelihood and the duration of programme completion in the Bachelor of Science (BSc) and Bachelor of Technology Honours in Engineering (BTech) degree programmes of the Open University of Sri Lanka (OUSL).Design/methodology/approachData were gathered from the re-registrants for the degree programmes in the academic year 2020/2021, using a questionnaire developed as a Google form. The sample consisted of 301 and 516 re-registrants from the BTech and BSc programmes respectively. Influential factors were identified using Kruskal Wallis test (for duration of completion), binary logistic regression (for likelihood of completion) and Chi-squared test (associations between presage and process factors).FindingsEntry qualification, age and time management skills at entry had significant effects on duration of completion. Attendance at academic activities, organizing time for self-studies and the competency in English at enrolment had significant effects on the likelihood of completion. Prior open and distance learning (ODL) experience had no significant effect on any of the product factors considered.Research limitations/implicationsInaccessibility of dropouts and using only the responses from the first administration of the questionnaire are limitations. Active learners are more likely to respond, in the first administration and may bias the results.Practical implicationsFindings are useful for designing future studies to identify at-risk students and thereby enhance the programme completion and reduce prolonged time for completion.Social implicationsEffective strategies to control the identified factors will uplift programme completion and reduce drop-out rates.Originality/valueDecision making using inferential techniques makes the study distinct among studies undertaken on the same population. The study enriches the limited current research on factors affecting programme completion in ODL mode.
Customer engagement with service providers: an empirical investigation of customer engagement dispositions
Authors: Sim Max , Conduit Jodie , Plewa Carolin , Hentzen Janin Karoli 
Published: May 2022

Purpose
While businesses seek to engage customers, their efforts are often met with varied results, as some customers are more predisposed to engage than others. Understanding customers’ dispositions to engage is central to understanding customer engagement, yet research examining customer engagement dispositions remains sparse and predominantly focused on personality traits. This paper aims to consider the general nature of a disposition and draws on qualitative findings to depict a framework for customer engagement dispositions.

Design/methodology/approach
To investigate customer engagement dispositions comprehensively and in-depth, an exploratory qualitative approach was adopted. In total, 20 semi-structured in-depth interviews were conducted with customers in ongoing relationships with financial planners residing in Australia.

Findings
Nine attributes reflecting customer engagement dispositions emerge from the data. These include the customer’s internal tendency to engage (confidence, desire for control, extroversion and enthusiasm); a tendency to engage determined in the interaction with the service provider (sense of similarity, sense of social connection and trust in the service provider); and the capacity to engage (expertise and knowledge and time availability).

Research limitations/implications
This study provides a conceptual foundation for future empirical measurement of customer engagement dispositions and their nomological network.

Practical implications
This study establishes a foundation for managers to build distinct engagement disposition profiles and segments and target initiatives to maximize engagement activity.

Originality/value
This research challenges the view of customer engagement dispositions as largely personality factors, or exclusively cognitive and emotional dimensions of engagement, and offers a comprehensive framework reflecting a customer’s disposition to engage with a service provider.
A framework for measuring the adoption factors in digital mobile payments in the COVID-19 era
Authors: Jegerson Devid , Hussain Matloub 
Published: May 2022

Purpose
This study aims to identify the acceptance factors in the UAE for the digital mobile payment market, introduces a new hierarchical framework based on the continuation intention factors and prioritises the importance of the acceptance criteria and sub-criteria.

Design/methodology/approach
The measurement of acceptance factors in payment systems is a complex and unstructured topic involving many criteria and sub-criteria, which requires breaking the problem down into several components organised in a hierarchical multi-level form. The analytic hierarchy process (AHP) methodology manages the complexity of multi-criteria decision-making processes based on a new set of criteria connected to the adoption and continuance intention factors.

Findings
The AHP framework developed a ranking of 18 sustainability sub-factors based on evaluations by experienced payment professionals.

Research limitations/implications
The future directions of the research would be to investigate the impact of dynamic capabilities on the resilience of retail service networks, especially during COVID-19, where supply and demand are highly indeterminate.

Practical implications
Through successive stages of data collection, measurement analysis and refinement, the contribution of this research is a reliable and valid framework that can be used to conceptualise and prioritise sustainability strategies in payment management.

Originality/value
Given the lowest mobile payment products penetration rates of the UAE and the scarcity of literature on this topic, this study aims to contribute to the knowledge by including UTAUT, the IS success model and the impact of COVID-19 as adoption and continuance intention factor in the digital mobile payment case in the UAE.
Measuring country of origin effects in online shopping implicitly: a discrete choice analysis approach
Authors: Brand Benedikt M. , Baier Daniel 
Published: May 2022

PurposeTo examine whether the country of origin (COO) effect actually exists in an e-commerce context, the authors intend to contribute to the ongoing debate by measuring the COO effect through a series of connected studies.Design/methodology/approachDrawing on cue utilization theory, the authors emphasize the urge to investigate the COO effect in multiple cue settings in order to reveal a more realistic picture of its actual effect size. In contrast to most prior research, which often does not analyze COO using methodological plurality and neglects important contextual factors, the authors employed a four-staged research design in an attempt to trigger and measure the COO’s implicit effect size in today’s pervasive context of online shopping. The importance of brands (inhering the COO) is decompositionally calculated relative to other extrinsic cues by applying a Hierarchical Bayes estimation, with the COO impact being extracted subsequently.FindingsThe results deepen concerns that the COO effect actually does not exist, particularly in the more contemporary context of online shopping. Specifically, preferences for previously favored German products faded when controlling for brand attitude for both high-involvement (p = 0.003) and low-involvement products (p = 0.024).Research limitations/implicationsThe study focused on consumers of Generation Y, as they represent one of the most important segments in online shopping. Findings might be replicated for other consumer generations. The study focused on Chinese consumers, as the Chinese e-commerce market represents the world’s largest one. Future studies might investigate other markets.Practical implicationsAs brands, rather than a COO effect, impacted consumer preferences, companies selling their products to Chinese consumers online need to establish a reputation for quality early on. Chinese companies should emphasize their COO to make use of the ethnocentrism detected. Companies profit from the Best-Worst Scaling investigation revealing which product categories Chinese consumers most preferably buy online from German companies.Originality/valueTo the best of the authors’ knowledge, this study is the first to capture the importance of COO in the contemporary context of ubiquitous online shopping. Moreover, a more realistic and less biased way of measuring the importance of COO is enabled by building upon three pre-connected studies. The findings allow to develop a generalization for both high- and low-involvement products.
A novel start-up method of sensorless passive lead-through programming for industrial robots
Authors: Guo Yuliang , Niu Jianwei , Hou Renluan , Ren Tao , Han Bing , Yu Xiaolong , Ma Qun 
Published: May 2022

Purpose
Sensorless passive lead-through programming (LTP) is a promising physical human-robot interaction technology that enables manual trajectory demonstrations based on gravity and friction compensation. The major difficulty lies in static friction compensation during LTP start-up. Instead of static friction compensation, conventional methods only compensate for Coulomb friction after the joint velocity exceeds a threshold. Therefore, conventional start-up external torques must overcome static friction. When the static friction is considerable, it is difficult for conventional LTP to start up and make small movements. This paper aims to decrease the start-up external torque and improve the small movement performance.

Design/methodology/approach
This paper reveals a novel usage of a high-gain position-loop in industrial robot applications aimed at sensitively detecting external torque during start-up. Then, the static friction is partly compensated by Coulomb friction to facilitate start-up. In addition, a detailed transition method between the proposed start-up and conventional passive LTP is proposed based on a finite state machine.

Findings
Experiments are implemented on the ROKAE XB4 robot to verify the effectiveness of the proposed external torque detection. Compared with the conventional LTP method, the proposed LTP method significantly decreases the start-up external torque and facilitates small movements.

Originality/value
This paper proposes and verifies a novel start-up method of sensorless LTP based on a start-up external torque detection and a transition method between start-up and conventional LTP. This research improves the LTP start-up performance, especially for industrial robots with large static friction.
Information overload: a concept analysis
Authors: Belabbes Mohamed Amine , Ruthven Ian , Moshfeghi Yashar , Rasmussen Pennington Diane 
Published: May 2022

PurposeWith the shift to an information-based society and to the de-centralisation of information, information overload has attracted a growing interest in the computer and information science research communities. However, there is no clear understanding of the meaning of the term, and while there have been many proposed definitions, there is no consensus. The goal of this work was to define the concept of “information overload”. In order to do so, a concept analysis using Rodgers' approach was performed.Design/methodology/approachA concept analysis using Rodgers' approach based on a corpus of documents published between 2010 and September 2020 was conducted. One surrogate for “information overload”, which is “cognitive overload” was identified. The corpus of documents consisted of 151 documents for information overload and ten for cognitive overload. All documents were from the fields of computer science and information science, and were retrieved from three databases: Association for Computing Machinery (ACM) Digital Library, SCOPUS and Library and Information Science Abstracts (LISA).FindingsThe themes identified from the authors’ concept analysis allowed us to extract the triggers, manifestations and consequences of information overload. They found triggers related to information characteristics, information need, the working environment, the cognitive abilities of individuals and the information environment. In terms of manifestations, they found that information overload manifests itself both emotionally and cognitively. The consequences of information overload were both internal and external. These findings allowed them to provide a definition of information overload.Originality/valueThrough the authors’ concept analysis, they were able to clarify the components of information overload and provide a definition of the concept.
Knowledge-based dynamic capabilities: a scientometric analysis of marriage between knowledge management and dynamic capabilities
Authors: Kaur Vaneet 
Published: May 2022

Purpose
Several manuscripts are adopting knowledge-based dynamic capabilities (KBDCs) as their main theoretical lens. However, these manuscripts lack consistent conceptualization and systematization of the construct. Consequently, the purpose of this study is to advance the understanding of KBDCs by clarifying the dominant concepts at the junction of knowledge management and dynamic capabilities domains, identifying which emerging themes are gaining traction with KBDCs scholars, demonstrating how the central thesis around KBDCs has evolved and explaining how can KBDCs scholars move towards finding a mutually agreed conceptualization of the field to advance empirical assessment.

Design/methodology/approach
The Clarivate Analytics Web of Science Core Collection database was used to extract 225 manuscripts that lie at the confluence of two promising management domains, namely, knowledge management and dynamic capabilities. A scientometric analysis including co-citation analysis, bibliographic coupling, keyword co-occurrence network analysis and text mining was conducted and integrated with a systematic review of results to facilitate an unstructured ontological discovery in the field of KBDCs.

Findings
The co-citation analysis produced three clusters of research at the junction of knowledge management and dynamic capabilities, whereas the bibliographic coupling divulged five themes of research that are gaining traction with KBDCs scholars. The systematic literature review helped to clarify each clusters’ content. While scientific mapping analysis explained how the central thesis around KBDCs has evolved, text mining and keyword analysis established how KBDCs emerge from the combination of knowledge management process capabilities and dynamic capabilities.

Originality/value
Minimal attention has been paid to systematizing the literature on KBDCs. Accordingly, KBDCs view has been investigated through complementary scientometric methods involving machine-based algorithms to allow for a more robust, structured, comprehensive and unbiased mapping of this emerging field of research.