bluuebunny/crossref_metadata_2025_split huggingface dataset:
TransCell: In silico characterization of genomic landscape and cellular responses from gene expressions through a two-step deep transfer learning
Authors: Yeh Shan-Ju , Paithankar Shreya , Chen Ruoqiao , Xing Jing , Sun Mengying , Liu Ke , Zhou Jiayu , Chen Bin 
Published: May 2022

AbstractGene expression profiling of new or modified cell lines becomes routine today; however, obtaining comprehensive molecular characterization and cellular responses for a variety of cell lines, including those derived from underrepresented groups, is not trivial when resources are minimal. Using gene expression to predict other measurements has been actively explored; however, systematic investigation of its predictive power in various measurements has not been well studied. We evaluate commonly used machine learning methods and present TransCell, a two-step deep transfer learning framework that utilizes the knowledge derived from pan-cancer tumor samples to predict molecular features and responses. Among these models, TransCell has the best performance in predicting metabolite, gene effect score (or genetic dependency), and drug sensitivity, and has comparable performance in predicting mutation, copy number variation, and protein expression. Notably, TransCell improved the performance by over 50% in drug sensitivity prediction and achieved a correlation of 0.7 in gene effect score prediction. Furthermore, predicted drug sensitivities revealed potential repurposing candidates for new 100 pediatric cancer cell lines, and predicted gene effect scores reflected BRAF resistance in melanoma cell lines. Together, we investigate the predictive power of gene expression in six molecular measurement types and develop a web portal (http://apps.octad.org/transcell/) that enables the prediction of 352,000 genomic and cellular response features solely from gene expression profiles.Key PointsWe provide a systematic investigation on evaluating the predictive power of gene expression in six molecular measurement types including protein expression, copy number variation, mutation, metabolite, gene effect score, and drug sensitivity.TransCell took advantage of the transfer learning technique, showing how to learn knowledge from the source tumors, and transfer learned weight initializations to the downstream tasks in cell lines.Compared to the baseline methods, TransCell outperformed in metabolite, gene effect score, and drug sensitivity predictions.Two cases studies demonstrate that TransCell could identify new repurposing candidates for pediatric cancer cell lines as well as capture the differences of genetic dependencies in melanoma resistant cell lines.
A reproducible and tunable synthetic soil microbial community provides new insights into microbial ecology
Authors: Coker Joanna , Zhalnina Kateryna , Marotz Clarisse , Thiruppathy Deepan , Tjuanta Megan , D’Elia Gavin , Hailu Rodas , Mahosky Talon , Rowan Meagan , Northen Trent R. , Zengler Karsten 
Published: May 2022

AbstractMicrobial soil communities form commensal relationships with plants to promote the growth of both parties. Optimization of plant-microbe interactions to advance sustainable agriculture is an important field in agricultural research. However, investigation in this field is hindered by a lack of model microbial community systems and efficient approaches for building these communities. Two key challenges in developing standardized model communities are maintaining community diversity over time and storing/resuscitating these communities after cryopreservation, especially considering the different growth rates of organisms. Here, a model community of 17 soil microorganisms commonly found in the rhizosphere of diverse plant species, isolated from soil surrounding a single switchgrass plant, has been developed and optimized for use with fabricated ecosystem devices (EcoFABs). EcoFABs allow reproducible research in model plant systems, with precise control of environmental conditions and easy measurement of plant-microbe metrics. The model soil community grows reproducibly in vitro between replicates and experiments, with high community α-diversity achieved through growth in low-nutrient media and adjustment of starting composition ratios for the growth of individual organisms. The community additionally grows in EcoFAB devices and regrows with a similar composition to unfrozen communities following cryopreservation with glycerol, allowing for dissemination of the model community. Our results demonstrate the generation of a stable microbial community that can be used with EcoFAB devices and shared between research groups for maximum reproducibility.ImportanceMicrobes associate with plants in distinct soil communities, to the benefit of both the soil microbes and the plant. Interactions between plants and these microbes can improve plant growth and health and are therefore a field of study in sustainable agricultural research. In this study, a model community of 17 soil bacteria has been developed to further reproducible study of plant-soil microbe interactions. Preservation of the microbial community has been optimized for dissemination to other research settings. Overall, this work will advance soil microbe research through optimization of a robust, reproducible model community.
The effect of compressive stress on cavitation-erosion corrosion behavior of 304 stainless steel
Authors: Qin Zhenbo , Li Xuehan , Xia Da-Hai , Zhang Yiwen , Wu Zhong , Hu Wenbin 
Published: May 2022

Purpose
The purpose of this paper is to clarify the effect of compressive stress on cavitation-erosion corrosion behavior of 304 stainless steel.

Design/methodology/approach
Compressive stresses of 60 MPa and 120 MPa were applied to 304 stainless steel through a self-designed loading device, and cavitation erosion-corrosion tests were performed using an ultrasonically vibratory apparatus. Scanning electron microscope and X-ray diffraction were used to analyze the microstructure evolution, and corrosion behavior was studied by electrochemical analysis.

Findings
The cavitation weight loss of 304 stainless steel decreased with the compressive stress. After cavitation corroded for 8 h, the weight loss for the specimen with 120 MPa compressive stress was 5.11 mg/cm2, which was reduced by 56.7% from that of the specimen without loading stress (11.79 mg/cm2). The reason can be attributed to that compressive stress promoted the deformation-induced martensitic transformation during the cavitation process, which could not only provide a cushioning effect by absorbing cavitation impact energy but also improve the hardness of 304 stainless steel.

Originality/value
Compressive stress was found to restrain the cavitation damage on 304 stainless steel, and the corresponding mechanism was proposed.
Niobium- and titanium-based coating for the protection of carbon steel SAE 1020 against corrosion
Authors: Helleis Rodrigo , Maia Guilherme Arielo Rodrigues , Castro Eryza Guimarães de , Berbel Larissa Oliveira , Costa Isolda , Banczek Everson do Prado 
Published: May 2022

Purpose
The purpose of this paper is to evaluate the protection against corrosion of carbon steel SAE 1020 promoted by a niobium- and titanium-based coating produced from a resin obtained by the Pechini method.

Design/methodology/approach
A resin was prepared with ammonium niobium oxalate as niobium precursor and K2TiF6 as titanium precursor. Carbon Steel SAE 1020 plates were dip coated in the resin and calcinated for 1 h at 600 ºC. Scanning electron microscopy, energy dispersive spectroscopy and X-ray diffraction were used to characterize the coating morphologically and structurally. Open circuit potential, electrochemical impedance spectroscopy, anodic potentiodynamic polarization and scanning vibrating electrode technique were used to evaluate the corrosion protection of the coating.

Findings
The electrochemical analyses evidence slight protection against corrosion of the coating by itself; however, the needle-like crystal structure obtained may potentially provide a good anchorage site, suggesting the coating could be used as a pretreatment that may present similar application to phosphating processes, generating lower environmental impacts.

Originality/value
Due to increasingly restrictive environmental laws, new environmentally friendlier surface treatments must be researched. This paper approaches this matter using a combination of niobium- and titanium-based coating, produced by a cleaner process, the Pechini method.
How organizational readiness for digital innovation shapes digital business model innovation in family businesses
Authors: Xie Xuemei , Zhang Huimiao , Blanco Cristina 
Published: May 2022

PurposeFamily businesses often lack sufficient knowledge about digital business model innovation digital business model innovation (BMI). This study's purpose was to analyze how and when organizational readiness for digital innovation exerts a positive impact on family businesses' digital BMI. To do so, the authors examined the mediating effect of the familiness learning mechanism and the moderating effect of family involvement on this relationship.Design/methodology/approachA quantitative survey method was used to collect the data for this study. Using a sample of 282 family businesses involved in manufacturing in China, the authors conducted hierarchical regression analyses to evaluate the authors' theoretical model.FindingsThe results of this work demonstrate a positive relationship between organizational readiness for digital innovation and family businesses' digital BMI, and the find that the familiness learning mechanism mediates this relationship. The findings also show that second-generation family involvement in management moderates the direct effect of organizational readiness for digital innovation on the familiness learning mechanism, as well as the indirect effect of organizational readiness for digital innovation on digital BMI via the familiness learning mechanism. Moreover, the results establish that family involvement in ownership moderates the direct effect of the familiness learning mechanism on digital BMI, as well as the indirect effect of organizational readiness for digital innovation on digital BMI via the familiness learning mechanism.Practical implicationsThis study provides practical contributions to the literature on family businesses and to public policy, providing concrete suggestions for fostering digital innovation in family enterprises. This study also enriches our understanding of the unique conditions by which family businesses can successfully implement digital BMI.Originality/valueThis research confirms that organizational readiness for digital innovation is an antecedent of digital BMI. This finding offers a new perspective that helps explain what might lead family businesses to engage in digital BMI. This study also places the familiness learning mechanism into a theoretical framework, which expands the current understanding of how organizational readiness for digital innovation facilitates digital BMI. Moreover, this work provides new insights into the boundary conditions by which organizational readiness for digital innovation affects the digital BMI of family businesses in terms of second-generation family involvement in management and family involvement in ownership.
The impact of corporate support programs on environmental and social innovation: empirical insights from the food and beverage industry
Authors: Golgeci Ismail , Ali Imran , Bozkurt Sıddık , Gligor David Marius , Arslan Ahmad 
Published: May 2022

PurposeThe purpose of this paper is to analyze the influence of corporate support programs on managers' environmental and social innovation behaviors. To offer a more comprehensive understanding of these relationships, the moderating role of technological reflectiveness and business moral values is also accounted for.Design/methodology/approachA scenario-based experimental study to test the impact of corporate support programs on environmental and social innovation behaviors is also adopted. After running a pretest to verify the effectiveness of alternative scenarios through 100 respondents with managerial experience residing in the UK and EU countries, we collected data from a sample of 220 senior managers of firms from the Australian food and beverage industry for the main study. One-way analysis of variance (ANOVA) with Dunnett's test to investigate direct relationships and the PROCESS Model to test the moderating role of technological reflectiveness and business moral values were used.FindingsThe findings reveal time provision, budget provision and advice provision as salient forms of corporate support programs that positively impact managers' environmental and social innovation behaviors. It is found that technological reflectiveness positively moderates the link between time provision and managers' social innovation behavior and negatively moderates the link between advice provision and managers' social innovation behavior. Furthermore, it is found that business moral values positively moderate the relationships between time and budget provisions and managers' environmental innovation behavior and between budget and advice provisions and managers' social innovation behavior.Originality/valueThe authors contribute to innovation and operations management research by adopting a behavioral operations management perspective and empirically analyzing the influences of managers' technological reflectiveness and business moral values on the relationship between organizational corporate support programs and managers' environmental and social innovation behavior in the context of the food and beverage industry.
Effect of ATF temperature on the friction-wear characteristic of a wet multi-disc clutch during the running-in process
Authors: Ma Biao , Wang Qian , Zheng Changsong , Yu Liang , Wang Guoyu , Zheng Liangjie 
Published: May 2022

Purpose
This paper aims to explore the effect of automatic transmission fluid (ATF) temperature on the dynamic friction-wear properties of the friction component in a wet multi-disc clutch during the running-in process.

Design/methodology/approach
The running-in evolution was explored in terms of global friction performance and instantaneous friction characteristics. The variation of friction torque of the initial 300 engagement cycles was obtained by wet-clutch tests. Finally, an optical microscope was used to detect the wear mechanism of friction surfaces.

Findings
The ATF temperature showed a significant effect on the friction-wear performance in the clutch running-in process. The mean coefficient of friction decreased with the increase of the ATF temperature and decreased rapidly in the approximately initial 60 clutch engagements. The higher the ATF temperature was, the thinner the ATF film was, and more asperity summits were cut, thus leading to a smoother surface. Considering the slightly instantaneous friction fluctuation and the wear performance, a proper ATF temperature is necessary.

Originality/value
The results provide theoretical guidance for selecting the optimal ATF temperature during the running-in process.
Studying the relationship between women and the environment in developing countries
Authors: Hassaballa Hoda 
Published: May 2022

Purpose
The purpose of this study is to examine whether there is a unidirectional or a bidirectional relationship between women and the environment, and to further study the effect of women on environmental quality.

Design/methodology/approach
To achieve this purpose, a Granger causality test and a random effects panel data model are used to study women–environment relationship in developing countries. Error correction model (ECM) is the chosen estimation technique. A Granger causality test is used because of its frequent use in examining the existence of a unidirectional or a bidirectional relationship between two or more variables. A random effects panel data model is used as it has proven to be more efficient than the fixed-effects panel data model.

Findings
Women Granger-cause environmental quality while the opposite is not true in developing countries in the long run. This indicates the existence of a unidirectional relationship between women and the environment when the long-run relationship is considered. However, when considering the long- and short-run relationship together, the results indicate the presence of a bidirectional relationship. The empirical results of the random effects panel data model through ECM estimation indicate the positive effect of women on improving environmental quality as illustrated by the coefficient of the current change of women. This shows that women are concerned about environmental degradation. In addition, the empirical results highlight the persistence of CO2 emissions. Results also confirm that foreign direct investment inflows lead to further environmental degradation. However, education and trade openness coefficients are found insignificant at the current period.

Research limitations/implications
The research results have great implications on women empowerment, the reduction of gender bias and the increase in government expenditure on women’s education and health because of women’s positive effect in improving environmental quality.

Originality/value
To the best of the author’s knowledge, this is the first paper that examines the two-way relationship between women and the environment and, hence, it fills the gap present in the literature.
Potential functionality and workability of blockchain within a building information modelling (BIM) environment
Authors: Tan Jin Hong , Loo Siaw-Chuing , Zainon Nurshuhada , Aziz Nur Mardhiyah , Mohd Rahim Faizul Azli 
Published: May 2022

Purpose
Although building information modelling (BIM) brings various benefits and open up the construction industry to many new possibilities, it is not without some challenges. Blockchain has the potential to resolve some of these problems. It has shown that blockchain and BIM can potentially work together in bringing various benefits to all project stakeholders. However, there is a lack of research and knowledge in relation to blockchain-based BIM. Therefore, the purpose of this study is to close this gap by looking into the potential functionality and workability of blockchain within a BIM environment.

Design/methodology/approach
A four-stage preferred reporting items for systematic reviews and meta-analyses systematic literature review technique has been used to review the blockchain- and BIM-related information sources published. A total of 53 journal articles, 13 books and 27 other resources including that of reports and websites have been included in this paper.

Findings
Blockchain-based BIM has countless possibilities, ranging from simple tasks such as tracking of orders to automation of construction payment claims. The literatures have suggested that the several weaknesses that BIM possesses including trust issue, asset ownership issue and data reliability issue could be resolved by incorporating blockchain into its processes.

Originality/value
Because of the lack of researches on the workability of blockchain and BIM, this paper aims to close this gap by proposing a framework for the interaction between blockchain and BIM for a typical building project. This paper has reviewed a substantial amount of currently available knowledge on blockchain-based BIM and its relevancy to the construction industry. This paper believes that the information could be of use to potential BIM tools maker and the construction industry for the betterment of BIM implementation throughout a project life cycle.
Examining youths’ intention to use social media networks for understanding zakat online campaigns that use creative animation
Authors: Mohd Suki Norbayah , Mohd Suki Norazah , Hussin Shokri Muhammad Faiz 
Published: May 2022

Purpose
Muslims are obliged to make a contribution to the less fortunate through zakat, which is one of the means of wealth distribution. However, very few studies have investigated the behavioural intention of users toward social media networks that use creative animation for zakat online campaigns to promote zakat awareness in developing nations. The rich content of zakat in social media networks using creative animation could attract today’s youth to engage with zakat. This research aims to examine the factors that influence youths’ intention to use social media networks for understanding zakat online campaigns that use creative animation.

Design/methodology/approach
Data were analysed via Analysis of Moment Structures (AMOS) version 18 to test the covariance-based structural equation modelling technique.

Findings
The results reveal that social influence has the greatest significant impact on youths’ intention to use social media networks for understanding zakat online campaigns that use creative animation. Officers in zakat institutions are supportive of the use of zakat campaigns that use creative animation on social media networks to enhance zakat understanding of the youth. Besides, individuals who are important to them would recommend accepting zakat online campaigns that use creative animation on social media networks to enhance their zakat understanding.

Practical implications
The social media networks of the zakat institutions should be designed with more creative, interactive and animated content to improve the quality of communication about the importance and benefits of contributing zakat. The content creator should use an inspiring emotional marketing strategy in their social media postings, interactive infographics and interactive videos because informational posts and emotionally positive content travel quicker than any other sort of content on social media through social sharing.

Originality/value
This study is unique and is noticeable as very few studies have investigated youths’ behavioural intention after viewing zakat online campaigns with creative animation on social media networks in a developing nation to promote zakat awareness. This platform has great potential to increase the engagement of working youth as zakat payers.
Servitization maturity model: developing distinctive capabilities for successful servitization in manufacturing companies
Authors: Kimita Koji , McAloone Tim C. , Ogata Keiji , Pigosso Daniela C.A. 
Published: May 2022

PurposeThis study aims to develop a systematic method called servitization maturity model to support companies in developing distinctive capabilities for successful servitization.Design/methodology/approachThe concept of maturity models is adopted to support companies in developing distinctive capabilities for servitization. A systematic literature review and case study approach are employed to develop the maturity model.FindingsThe findings highlight 46 capabilities classified into seven categories: strategy and leadership, performance, offerings, customers, organization, network and digital technology. Furthermore, the evolutionary path is defined by combining two types of levels, i.e. capability and maturity levels, to develop these capabilities.Research limitations/implicationsThe evolutionary path was partially validated through the application, while further investigation is required to validate the evolutionary path. Therefore, future research should investigate the further validation of the evolutionary path by conducting multiple case studies.Practical implicationsThe proposed maturity model enables companies to not only capture the bigger picture of the required capabilities without oversight, but also determine a process for improving the requisite capabilities with feasible efforts.Originality/valueExisting maturity models focused on the transition from less to more advanced services. However, recent studies emphasized that companies need to determine strategies that reflect their capabilities rather than simply move toward more advanced services. Based on this assumption, this study provides successive stages that enable companies to improve their capabilities through feasible efforts.