bluuebunny/crossref_metadata_2025_split huggingface dataset:
Use of portable air cleaners to reduce aerosol transmission on a hospital COVID-19 ward
Authors: Buising KL , Schofield R , Irving L , Keywood M , Stevens A , Keogh N , Skidmore G , Wadlow I , Kevin K , Rismanchi B , Wheeler AJ , Humphries RS , Kainer M , McGain F , Monty J , Marshall C 
Published: March 2021

AbstractObjectiveTo study the airflow, transmission and clearance of aerosols in the clinical spaces of a hospital ward that had been used to care for patients with COVID-19, and to examine the impact of portable air cleaners on aerosol clearance.DesignObservational studySettingA single ward of a tertiary public hospital in Melbourne AustraliaInterventionGlycerine-based aerosol was used as a surrogate for respiratory aerosols. The transmission of aerosols from a single patient room into corridors and a nurses’ station in the ward was measured. The rate of clearance of aerosols was measured over time from the patient room, nurses’ station and ward corridors with and without air cleaners (also called portable HEPA filters).ResultsAerosols rapidly travelled from the patient room into other parts of the ward. Air cleaners were effective in increasing the clearance of aerosols from the air in clinical spaces and reducing their spread to other areas. With two small domestic air cleaners in a single patient room of a hospital ward, 99% of aerosols could be cleared within 5.5 minutes.ConclusionAir cleaners may be useful in clinical spaces to help reduce the risk of healthcare acquired acquisition of respiratory viruses that are transmitted via aerosols. They are easy to deploy and are likely to be cost effective in a variety of healthcare settings
Understanding binary classifier model structure based on Shapley feature interaction patterns
Authors: Zhao Boyang 
Published: March 2021

AbstractThere is increasing emphasis on the interpretability of machine learning models, including in understanding biological systems. The well-known Shapley value framework based on game theory works in principle with any models to attribute feature importance. While feature interactions are critical to understand and can be interpreted within this framework, much attention is paid in practice on global feature importance and general trends of interactions. The inter-relationships between underlying model structure and Shapley value and its decomposition is less clear. Here we use binary classifiers to systematically examine how logical and additive interactions affect marginal contributions. These decomposed main and interaction effects are reflected in resulting Shapley dependence plots. The directionality of inequalities or logical/additive operators influence independently the main and marginal/interaction effects. Lastly, we show that these principles are applicable for models with noise.
Adverse Events Following SARS-CoV-2 mRNA Vaccination Among Patients with Inflammatory Bowel Disease
Authors: Botwin Gregory J. , Li Dalin , Figueiredo Jane , Cheng Susan , Braun Jonathan , McGovern Dermot P.B. , Melmed Gil Y. 
Published: March 2021

AbstractPatients with immune-mediated inflammatory diseases (IMID) such as inflammatory bowel disease (IBD) on immunosuppressive and biologic therapies were largely excluded from SARS-CoV-2 mRNA vaccine trials. We thus evaluated post-mRNA vaccination adverse events (AE) in 246 vaccinated adults with IBD participating in a longitudinal vaccine registry. In general, AE frequency was similar to that reported in the general population. As in the general population, AE were more common among younger patients, and those with prior COVID-19. We additionally found that AE were less common in individuals receiving biologic therapy. Those with IBD and other IMID on these commonly prescribed therapies can be reassured that the AE risk is likely not increased, and may be reduced, while on biologics.
The Cdc42 GTPase activating protein Rga6 promotes the cortical localization of Septin
Authors: Zheng Shengnan , Zheng Biyu , Liu Zhenbang , Wei Wenfan , Fu Chuanhai 
Published: March 2021

ABSTRACTSeptins are a family of filament-forming GTP-binding proteins that regulate fundamental cellular activities such as cytokinesis, cell polarity, and membrane remodelling. In general, Septin filaments function as barriers and scaffolds on the cell cortex. However, little is known about the mechanism that governs the recruitment and localization of the Septin complex to the cell cortex. Here, we identified the Cdc42 GTPase activating protein Rga6 as a key protein involved in promoting the localization of the Septin complex to the cell cortex in the fission yeastSchizosaccharomyces pombe. Rga6 interacts with the Septin complex and colocalizes with the Septin complex on the cell cortex. Live-cell microscopic analysis further showed Septin enrichment at the cortical regions adjacent to the growing cell tip. The Septin enrichment likely plays a crucial role in confining active Cdc42 to the growing cell tip. Hence, our findings support a model that Rga6 regulates polarized cell growth partly through promoting targeted localization of the Septin complex on the cell cortex.
Biophysical properties of a tau seed
Authors: Hou Zhiqiang , Chen Dailu , Ryder Bryan D. , Joachimiak Lukasz A. 
Published: March 2021

AbstractPathogenesis of tauopathies involves conversion of tau monomer into pathological tau conformers that serve as templates to recruit native tau into growing assemblies. Small soluble tau seeds have been proposed to drive pathological tau assemblyin vitro, in cells andin vivo. We have previously described the isolation of monomeric pathogenic tau seeds derived from recombinant samples and tauopathy tissues but in-depth biophysical characterization of these species has not been done. Here we describe a chromatographic method to isolate recombinant soluble tau seeds derived from heparin treatment. We used biochemical and biophysical approaches to show that the seeds are predominantly monomeric and have the capacity to nucleate aggregation of inert forms of tauin vitroand in cells. Finally, we used crosslinking mass spectrometry to identify the topological changes in tau as it converts from an inert state to a pathogenic seed. Future studies will reveal the relationship between soluble seeds and structural polymorphs derived from tauopathies to help diagnose and develop therapeutics targeting specific tauopathies.
BRED: bioluminescence energy transfer to dye for monitoring ceramide trafficking in cell
Authors: Naseri Gita , Arenz Christoph 
Published: March 2021

ABSTRACTBioluminescence resonance energy transfer (BRET) is a genetically encoded proximity-based tool to study biomolecular interactions. However, conventional BRET is usually restricted to only a few types of interactions like protein-protein or protein-ligand interactions. We here developed a spatially unbiased resonance energy transfer system, so-called BRED - bioluminescence resonance energy transfer to dye. BRED allows transferring energy from a genetically encoded bright human optimized luciferase to a fluorophore-labelled small molecule. The high efficiency of the system allows RET without specific interaction of donor and acceptor. Here, we applied BRED to monitor the trafficking of the signalling lipid ceramide, to the Golgi. This was enabled by an engineered Golgi-resident luciferase, which was used to sense the influx of BODIPY-labeled ceramide into the surrounding membrane. We demonstrated the implementation of the method via flow cytometry, thereby combining the sensitivity of bulk cell methods with the advantages of single-cell analysis. This toolbox enables simple and robust live-cell analysis of inhibitors of CERT-mediated ceramide transport. The design principle of our optogenetic tool can be applied to study intracellular trafficking of metabolites and screen for inhibitors of their key enzymes.
Restriction of RecG translocation by DNA mispairing
Authors: Sun Zhiqiang , Wang Yaqing , Hashemi Mohtadin , Bianco Piero R. , Lyubchenko Yuri L. 
Published: March 2021

AbstractThe RecG DNA helicase plays a crucial role in stalled replication fork rescue as the guardian of the bacterial genome. We have recently demonstrated that single-strand DNA binding protein (SSB) promotes binding of RecG to the stalled replication fork by remodeling RecG, enabling the helicase to translocate ahead of the fork. We also hypothesized that mispairing of DNA could limit such translocation of RecG, which plays the role of roadblocks for the fork movement. Here, we used atomic force microscopy (AFM) to directly test this hypothesis and investigate how sensitive RecG translocation is to different types of mispairing. We found that a C-C mismatch at a distance of 30 bp away from the fork position prevents translocation of RecG over this mispairing. A G-bulge placed at the same distance also has a similar roadblock efficiency. However, a C-C mismatch 10 bp away from the fork does not prevent RecG translocation, as 10 bp from fork is within the distance of footprint of RecG on fork DNA. Our findings suggest that retardation of RecG translocation ahead of the replication fork can be a mechanism for the base pairing control for DNA replication machinery.
Robust dual-tone multi-frequency tone detection using k-nearest neighbour classifier for a noisy environment
Authors: Maity Arunit , Prakasam P. , Bhargava Sarthak 
Published: March 2021

PurposeDue to the continuous and rapid evolution of telecommunication equipment, the demand for more efficient and noise-robust detection of dual-tone multi-frequency (DTMF) signals is most significant.Design/methodology/approachA novel machine learning-based approach to detect DTMF tones affected by noise, frequency and time variations by employing the k-nearest neighbour (KNN) algorithm is proposed. The features required for training the proposed KNN classifier are extracted using Goertzel's algorithm that estimates the absolute discrete Fourier transform (DFT) coefficient values for the fundamental DTMF frequencies with or without considering their second harmonic frequencies. The proposed KNN classifier model is configured in four different manners which differ in being trained with or without augmented data, as well as, with or without the inclusion of second harmonic frequency DFT coefficient values as features.FindingsIt is found that the model which is trained using the augmented data set and additionally includes the absolute DFT values of the second harmonic frequency values for the eight fundamental DTMF frequencies as the features, achieved the best performance with a macro classification F1 score of 0.980835, a five-fold stratified cross-validation accuracy of 98.47% and test data set detection accuracy of 98.1053%.Originality/valueThe generated DTMF signal has been classified and detected using the proposed KNN classifier which utilizes the DFT coefficient along with second harmonic frequencies for better classification. Additionally, the proposed KNN classifier has been compared with existing models to ascertain its superiority and proclaim its state-of-the-art performance.
Risk factors in the refurbishment design process: the case of Malaysia
Authors: Ali Azlan Shah , Au-Yong Cheong Peng 
Published: March 2021

PurposeRefurbishment projects are mainly due to building physical improvements and extensive repair work. However, it is more difficult to manage refurbishment compared to new building projects, due to risk factors. Therefore, this paper aims to identify the risk variables in the refurbishment design process and how they influence the design performance variables.Design/methodology/approachThe study has been designed using predominantly the triangulation technique, which consists of quantitative and qualitative approaches to ensure appropriate validation of the data and enabled cross-verification of multiple sources. The research subject was 82 refurbishment projects with the contract value of more than RM 500,000.00. This provided a better view of the risk aspects that affect the design performance of refurbishment projects. Meanwhile, the method of procurement used for the selected refurbishment projects were either traditional or design-and-build. These procurement methods were found to be the most commonly used in refurbishment projects in Malaysia.FindingsThis study concludes that the design phase of refurbishment projects is adversely impacted by the risk; whereby variables consisting of services, structural aspects, design fees and clients' attributes affect the design process. Moreover, a prediction model is formulated to estimate the provisional sum of the refurbishment projects. There were two prediction models that have been generated using Statistical Package for Social Science (SPSS). One independent variable of model 1 is not a significant predictor. Thus, another model was produced by using the stepwise method.Originality/valueDespite the fact that the topic of refurbishment has been thoroughly explored by academics and professionals in the past, there is a clear gap which requires clarification in the field of design process and its link to performance of a project. Hence, this paper adds new value to the body of knowledge and widens awareness among the subject audience. There were two prediction models that have been generated using SPSS. Both prediction models were presented in the research.
Assessment of energy and emissions saving impact of solar PV modules: a case study of Bangladesh
Authors: Imu Nusrat Jahan , Ezeamama Anayo , Matemilola Saheed 
Published: March 2021

PurposeDecentralized solar systems are increasingly being used as alternative source of off-grid electrification in Bangladesh. They offer solutions to provide (clean) electricity to the low-income households that are not currently served by the national grid. The standards of solar systems need to be improved to maximize the benefits they offer for off-grid electrification.Design/methodology/approachA quantitative research approach was used to explore the power output performance of six solar systems samples. In order to realize a proper load management, daily power production was measured to determine the generation capacity of 50, 60 and 100 Wp monocrystalline and polycrystalline modules when average solar irradiation was 916 W/m2. In the testing system, the irradiation was measured by panel analyzer HT instrument I-V 400. The load arrangement comprised of different kinds of appliances (fan, light, TV). The daily consumption of energy by these loads was calculated using daily operational hours to determine system power performance.FindingsThe authors found that monocrystalline system performs better than polycrystalline by 0.39 kilowatt-hour (kWh) with capacity of 100 watt-peak (Wp) modules. The carbon dioxide (CO2) emissions reduction potential of our sample solar systems were also estimated by assuming a scenario. This was derived by using the electricity emission factor for natural gas (CH4), since CH4 is the main source of energy for power generation in Bangladesh. Savings in CO2 of 0.52 kgCO2/kWh is possible with the adoption of a 100 Wp monocrystalline module.Practical implicationsGovernment actions that promote the use of monocrystalline module will enhance the benefits of the use of solar systems in providing quality and sustainable electricity. This will contribute to government's efforts towards achieving some of the United Nations (UN) sustainable development goals (SDG) and resilience of the most vulnerable population to the effects and impacts of climate change.Originality/valueAlmost all solar modules found in off-grid areas are polycrystalline whose energy generation capacity is much lower compared to monocrystalline types. But use of low efficient polycrystalline solar module hindered the development of country's solar sector and option to save carbon emission. The use of highly efficient monocrystalline solar module will save also the country's land as the country has land scarcity challenges for establishing large-scale solar power plant. The authors also recommend actions that can be implemented at the national level to improve the attractiveness of monocrystalline solar systems in Bangladesh.
Future research methodologies of lean manufacturing: a systematic literature review
Authors: Psomas Evangelos 
Published: March 2021

Purpose
A rich agenda for future research in the field of Lean Manufacturing (LM) is available in the academic literature. The purpose of this paper is to determine the LM future research methodologies suggested in the literature and to classify them into themes. Classifying these themes into broad categories is also an aim of the present study.

Design/methodology/approach
For the purpose of the present study, a systematic literature review (SLR) of peer reviewed journal articles in LM was conducted. A total of 214 articles published in 46 journals during 2010–2020 were collected from four major management science publishers, namely, Emerald Online, Elsevier/Science Direct, Springer Link and Taylor and Francis. To organize the qualitative data into meaningful themes and these themes into broad categories, the quality tool “affinity diagram” was applied.

Findings
The review of LM articles that are increasing over time reveals the “vital few” academic journals, which have published most of the sample articles. The plethora of the suggested future research methodologies are analytically presented and classified into meaningful themes, namely, the size of the research sample and its composition, several types of study (other than surveys), longitudinal studies, applying advanced statistical analysis and (mathematical) modeling techniques, objective, real and quantitative data, surveys, mixed/multiple research studies, reliability and validity analysis, using computer-aided technology for data collection and processing and research collaborations. These themes in turn are classified into broad categories, namely, study, data and statistical analysis and modeling.

Research limitations/implications
This SLR is not comprehensive because the number of the databases searched is restricted to four. Moreover, the literature review is limited to peer reviewed journal articles regarding Lean only in the manufacturing sector, while the subject reviewed is limited to the future research methodologies. The subjectivity of classifying the large number of the future research methodologies into themes and these themes into broad categories is also a limitation of the present SLR. Based on these limitations, future literature review studies can be carried out.

Practical implications
Researchers can be analytically informed about the future research methodologies suggested in the literature and their respective key themes and broad categories, to design original research studies of high academic and practical value.

Originality/value
This study goes beyond previous SLRs on LM by presenting analytically the plethora of the future research methodologies suggested in the literature as well as by identifying natural patterns or groupings of these methodologies.
Nexus of circular economy and sustainable business performance in the era of digitalization
Authors: Agrawal Rohit , Wankhede Vishal Ashok , Kumar Anil , Upadhyay Arvind , Garza-Reyes Jose Arturo 
Published: March 2021

PurposeThis study aims to conduct a comprehensive review and network-based analysis by exploring future research directions in the nexus of circular economy (CE) and sustainable business performance (SBP) in the context of digitalization.Design/methodology/approachA systematic literature review methodology was adopted to present the review in the field of CE and SBP in the era of digitalization. WOS and SCOPUS databases were considered in the study to identify and select the articles. The bibliometric study was carried out to analyze the significant contributions made by authors, various journal sources, countries and different universities in the field of CE and SBP in the era of digitalization. Further, network analysis is carried out to analyze the collaboration among authors from different countries.FindingsThe study revealed that digitalization could be a great help in developing sustainable circular products. Moreover, the customers' involvement is necessary for creating innovative sustainable circular products using digitalization. A move toward the product-service system was suggested to accelerate the transformation toward CE and digitalization.Originality/valueThe paper discusses digitalization and CE practices' adoption to enhance the SP of the firms. This work's unique contribution is the systematic literature analysis and bibliometric study to explore future research directions in the nexus of CE and SP in the context of digitalization. The present study has been one of the first efforts to examine the literature of CE and SBP integration from a digitalization perspective along with bibliometric analysis.
The antecedents and consequences of exporting cultural products
Authors: Lin Chih-Pin , Dong Tse-Ping 
Published: March 2021

PurposeAlthough recent models of place branding have proposed culture as a crucial element in establishing a strong place or nation brand, the way in which cultural products influence the brand equity of other products from the same nation has not yet been studied. This study aims to argue that when a nation has strong legal institutions, as perceived by investors and managers, it offers fertile soil for cultivating cultural products that, when exported, can act as “cultural ambassadors,” promoting the country image in the minds of consumers and the value of the country's brands.Design/methodology/approachExports of cultural products are provided by UNESCO. Valuable brands are those that brand finance included in its global top 500 most valuable brands list. The rule of law is provided by the World Bank. Panel regression models are used.FindingsSupporting the hypotheses, exports of cultural products show positive effects on the value of brands from that country, and the rule of law shows positive effects on exports of cultural products.Practical implicationsPolicymakers could improve the brand value of local firms by promoting exports of cultural products. To do so, policymakers should initiate judicial reforms that strengthen the rule of law to protect contracts and property rights.Originality/valueThis study examines the hitherto underexplored effects that a country's cultural product exports have on the brand value of firms from that country. Most prior research has focused on factors affecting imports of cultural products.