bluuebunny/crossref_metadata_2025_split huggingface dataset:
Regulation of Liver Regeneration by hepatocyte O-GlcNAcylation in mice
Authors: Robarts Dakota R. , McGreal Steven R. , Umbaugh David S. , Parkes Wendena S. , Kotulkar Manasi , Abernathy Sarah , Lee Norman , Jaeschke Hartmut , Gunewardena Sumedha , Whelan Stephen A. , Hanover John A. , Zachara Natasha E. , Slawson Chad , Apte Udayan 
Published: October 2021

AbstractThe liver has a unique capacity to regenerate after injury in a highly orchestrated and regulated manner. Here we report that O-GlcNAcylation, an intracellular post-translational modification (PTM) regulated by two enzymes, O-GlcNAc transferase (OGT) and O-GlcNAcase (OGA), is a critical termination signal for liver regeneration (LR) following partial hepatectomy (PHX). We studied liver regeneration after PHX on hepatocyte specific OGT and OGA knockout mice (OGT-KO and OGA-KO), which caused a significant decrease (OGT-KO) and increase (OGA-KO) in hepatic O-GlcNAcylation, respectively. OGA-KO mice had normal regeneration, but the OGT-KO mice exhibited substantial defects in termination of liver regeneration with increased liver injury, sustained cell proliferation resulting in significant hepatomegaly, hepatic dysplasia and appearance of small nodules at 28 days after PHX. This was accompanied by a sustained increase in expression of cyclins along with significant induction in pro-inflammatory and pro-fibrotic gene expression in the OGT-KO livers. RNA-Seq studies revealed inactivation of hepatocyte nuclear 4 alpha (HNF4α), the master regulator of hepatic differentiation and a known termination signal, in OGT-KO mice at 28 days after PHX, which was confirmed by both Western blot and IHC analysis. Furthermore, a significant decrease in HNFα target genes was observed in OGT-KO mice, indicating a lack of hepatocyte differentiation following decreased hepatic O-GlcNAcylation. Immunoprecipitation experiments revealed HNF4α is O-GlcNAcylated in normal differentiated hepatocytes. These studies show that O-GlcNAcylation plays a critical role in the termination of LR via regulation of HNF4α in hepatocytes.Layman summaryO-GlcNAcylation is a protein modification that plays a critical role in various biological processes including cell proliferation, differentiation, and disease progression. These studies show that O-GlcNAcylation in hepatocytes is essential for proper liver regeneration. Without O-GlcNAcylation, hepatocytes keep on proliferating eventually forming liver tumors.
Recurrent Duplication and Diversification of Acrosomal Fertilization Proteins in Abalone
Authors: Carlisle J. A. , Glenski M. A. , Swanson W. J. 
Published: October 2021

AbstractReproductive proteins mediating fertilization commonly exhibit rapid sequence diversification driven by positive selection. This pattern has been observed among nearly all taxonomic groups, including mammals, invertebrates, and plants, and is remarkable given the essential nature of the molecular interactions mediating fertilization. Gene duplication is another iimportant mechanism that facilitates the generation of molecular novelty. Following duplication, paralogs may parse ancestral gene function (subfunctionalization) or acquire new roles (neofunctionalization). However, the contributions of duplication followed by sequence diversification to the molecular diversity of gamete recognition genes has been understudied in many models of fertilization. The marine gastropod mollusk abalone is a classic model for fertilization. Its two acrosomal proteins (lysin and sp18) are ancient gene duplicates with unique gamete recognition functions. Through detailed genomic and bioinformatic analyses we show how duplication events followed by sequence diversification has played an ongoing role in the evolution of abalone acrosomal proteins. The common ancestor of abalone had four members of its acrosomal protein family in a tandem gene array that repeatedly experienced positive selection. We find that both sp18 paralogs contain positively selected sites located in different regions of the paralogs, consistent with a subfunctionalization model where selection acted upon distinct binding interfaces in each paralog. Further, a more recent species-specific duplication of both lysin and sp18 in the European abalone H. tuberculata is described. Despite clade-specific acrosomal protein paralogs, there are no concomitant duplications of egg coat proteins in H. tuberculata, indicating that duplication of egg proteins per se is not responsible for retention of duplicated acrosomal proteins. We hypothesize that, in a manner analogous to host/pathogen evolution, sperm proteins are selected for increased diversity through extensive sequence divergence and recurrent duplication driven by conflict mechanisms.
Phylogenetic profiling and cellular analyses of ARL16 reveal roles in traffic of IFT140 and INPP5E
Authors: Dewees Skylar I. , Vargová Romana , Hardin Katherine R. , Turn Rachel E. , Devi Saroja , Linnert Joshua , Wolfrum Uwe , Caspary Tamara , Eliáš Marek , Kahn Richard A. 
Published: October 2021

ABSTRACTThe ARF family of regulatory GTPases is ancient, with 16 members predicted to have been present in the last eukaryotic common ancestor. Our phylogenetic profiling of paralogs in diverse species identified four family members whose presence correlates with that of a cilium/flagellum: ARL3, ARL6, ARL13, and ARL16. No prior evidence links ARL16 to cilia or other cell functions, despite its presence throughout eukaryotes. Deletion of ARL16 in MEFs results in decreased ciliogenesis yet increased ciliary length. We also found Arl16 KO in MEFs to alter ciliary protein content, including loss of ARL13B, ARL3, INPP5E, and the IFT-A core component IFT140. Instead, both INPP5E and IFT140 accumulate at the Golgi in Arl16 KO lines, while other IFT proteins do not, suggesting a specific defect in traffic from Golgi to cilia. We propose that ARL16 regulates a Golgi-cilia traffic pathway and is required specifically in the export of IFT140 and INPP5E from the Golgi.SummaryPhylogenetic analyses of ARF family GTPases predict that ARL16 is linked to cilia. This was confirmed using MEFs deleted for ARL16, resulting in defects in Golgi to cilium traffic, with accumulation of IFT140 and INPP5E at Golgi.
A functional SNP regulates E-cadherin expression by dynamically remodeling the 3D structure of a promoter-associated non-coding RNA transcript
Authors: Sharma Shrikant , Varani Gabriele 
Published: October 2021

AbstractTranscription of E-cadherin, a tumor suppressor which plays critical roles in cell adhesion and the epithelial-mesenchymal transition, is regulated by a promoter-associated non-coding transcript. This RNA includes a functional C/A single nucleotide polymorphism (SNP rs16260). The A-allele is linked to decreased transcriptional activity and increased prostate cancer risk. This single nucleotide change affects recruitment of an iso-miRNA and epigenetic enzymes to regulate the promoter, yet it is distant from the isomiR-binding site in both primary sequence and secondary structure, raising the question of how regulation occurs. Here we report the 3D NMR structure of the domain of 90 nucleotides within the paRNA which includes the SNP and the isomiR-binding site. We show that the A->C mutation alters the locally dynamic structure of the paRNA, revealing that the mutation regulates the E-cadherin promoter through its effect on RNA structure.
The dramaturgy of earnings guidance: an institutional analysis of a soft landing
Authors: King Thomas A. , Fogarty Timothy J. 
Published: October 2021

PurposeMuch in accounting research depends upon equity valuation. Too often, what the stock of publicly traded companies trade at is taken at its face value. Knowing that valuation is a function of performance relative to consensus security analyst expectations, more needs to be known about how these expectations are created and changed. The paper aims to assert that the guidance provided by top-level company management is important to the work product of analysts. The paper develops information from managers involved in these interactions.Design/methodology/approachSemi-structured interviews were conducted with 31 high-level executives employed by large USA companies in several industries. What those companies provided was interpreted through the theoretical lens of institutional theory and amounts to a qualitative content analysis approach to the subject.FindingsThe authors find that institutional theory well describes the important features of analyst guidance. Participants are aware of the broad societal interest that exists in the outcome of the guidance process. The participants accept the need for independent analyst opinions about their companies and their future prospects. In many ways, executives provide analysts more than just raw information and employ strategic structuring for analysts to produce expectations that will allow their companies a favorable pathway to future success as such is judged by the markets. The result is understood as being in the best interests of all market participants, even if it disproportionately benefits current corporate leadership.Research limitations/implicationsResults are dependent upon the interview process, needing the correct questions to be asked and the willingness of interviewees to speak their lived truth. The paper calls into question traditional capital markets studies that evaluate quantitative relationships between projected accounting balances and subsequent stock market prices as a literal truth or as the result of scientific calculation.Practical implicationsMarket participants should be somewhat more skeptical about companies that are routinely able to meet analyst expectations. To a large extent, such displays do not just happen but instead are manufactured to take place by virtual of a careful dance that is mindful of excesses on several sides.Social implicationsThe antagonistic interests of two important groups in the stock market is actually an unrecognized symbiotic dependency that prioritizes continued permission.Originality/valueThe accounting literature is very dependent on the work product of analysts. This is a rare opportunity to peak behind the curtain of their expertise in a critical fashion. The paper breaks ranks with the literature by trying to understand the thinking behind the narratives of capital market participants.
Exploring sector-specific sustainability indicators: a content analysis of sustainability reports in the logistics sector
Authors: Jayarathna Chamari Pamoshika , Agdas Duzgun , Dawes Les , Miska Marc 
Published: October 2021

Purpose
Businesses produce corporate sustainability information in support of the decision-making of their stakeholders through sustainability reporting. However, the use of such information has been limited because of the broadness of sustainability indicators used in sustainability reports. This study aims to identify sector-specific sustainability indicators and priorities based on the material issues of the logistics sector.

Design/methodology/approach
The authors conducted an exploratory study using 64 sustainability reports from the logistics sector. Qualitative content analysis was performed using Leximancer software to identify key themes and material concepts of sustainability reports.

Findings
The results showed that the most important indicators of the logistics sector are economic performance and energy, yet sustainability reports appear to focus more on reporting social sustainability information. Of the several sustainability measures, environmental and social factors dominated the reporting (8 economic, 62 environmental and 58 social). This discrepancy can also imply inconsistencies in sustainability reporting.

Practical implications
Identifying sector-specific indicators enables assessing the impact of sustainability issues on value creation and performance comparison among similar organizations. This is also beneficial in ensuring consistency of sustainability reporting, which is a prerequisite for policymaking in sustainable logistics.

Originality/value
Prior studies emphasized that no sector-specific sustainability indicators were established in the literature and standardized indicators are needed to ensure the comparability of results. This study addresses this gap by identifying sector-specific sustainability indicators based on the material issues of the logistics sector.
Construction of surrogate models for predicting the buckling strength of stiffened panels through DoE and RSM methods
Authors: Papanikolaou Nikolaos , Anyfantis Konstantinos 
Published: October 2021

PurposeExperimental mid/large scale testing of ship-like stiffened panels in compression is a quite expensive exercise that is not standard. Numerical simulations are preferred instead. Because of being relatively inexpensive (cost and time wise), most authors perform an exhaustive design space exploration arriving at a significant number of runs. This work demonstrates that the buckling response with respect to the nondimensional slenderness ratios may well be fitted with nine runs per stiffener geometry.Design/methodology/approachEfficient derivation of buckling strength formulas for stiffened panels through the employment of design of experiments (DoE) and response surface methodology (RSM) combined with numerical nonlinear experimentation over the entire range of practical geometries.FindingsThe surrogate model developed for T-bar stiffeners predicts accurately enough the ultimate stress in the practical design area, while the surrogate models for angle bars and flat bars demonstrate difference between 10 and 30% from common structural rules (CSR).Originality/valueTo the authors' best knowledge, the statistical-based formal and rigorous approach of DoE and RSM to obtaining buckling surfaces for stiffened panels is performed for the first time. The number of required observations per stiffener type has not been addressed yet as each work selects its own sampling scheme without formal reasoning. This work comes to frame the number of observations for efficient surrogate model building.
How do formal and informal institutional distance affect the reverse knowledge spillover of Chinese MNCs?
Authors: She Yi , Hong Jin , Ji Chuwei 
Published: October 2021

PurposeThis study examines the impact of outward foreign direct investment (OFDI) of Chinese multinational corporations (MNCs) and formal and informal institutional distances between the home and host countries on the innovation performance of parent company.Design/methodology/approachThis study uses panel data to conduct an empirical analysis on the data of 59 mature Chinese MNCs and their 872 overseas subsidiaries over the past 11 years and draws interesting results.FindingsResults show that OFDI and formal and informal institutional distances between countries exert a significant positive impact on the innovation performance of the parent company and formal and informal institutional distances negatively moderate the impact between OFDI and the parent company's innovation performance.Originality/valueAlthough international business research pays increasing attention to transnational differences in institutions and cultures, research on the relationship between technology spillover and distance is relatively limited. In addition, few studies consider the impact of FID and IFID on transnational reverse knowledge spillovers. This research fills these research gaps, and the conclusions have certain practical significance for multinational companies.
An empirical study on the adoption of blockchain-based games from users’ perspectives
Authors: Gao Shang , Li Ying 
Published: October 2021

Purpose
The purpose of the research is to investigate users’ adoption of blockchain-based games in China.

Design/methodology/approach
This research applied existing technology diffusion theories to develop a research model to examine users’ adoption of blockchain-based games. As a result, a research model with nine research hypotheses was developed. The developed research model was empirically tested using data collected from a survey of 210 blockchain-based games users. Structural equation modeling was applied to analyse the collected data.

Findings
The results indicated that seven of nine research hypotheses were supported. It was found that trust, perceived usefulness, perceived enjoyment and perceived ease of use were key determinants for users’ behavioural intention to use blockchain-based games. The most influential relationship in the research model appeared to be the effect of perceived usefulness on users’ behavioural intention to use blockchain-based games. However, subjective norms did not have significant positive impacts on users’ behavioural intention to use blockchain-based games.

Practical implications
The regulatory support from governmental authorities is essential to provide additional legal certainty to build users’ trust in playing blockchain-based games. Blockchain-based games providers should arrange the training program targeted to the general users to enhance their understanding of the key features associated with blockchain-based games. Blockchain-based games developers should come up with good design solutions to maximize user enjoyment with blockchain-based games by considering additional entertainment elements.

Originality/value
To the best of the authors’ knowledge, this study is first of its kind in investigating the adoption of blockchain-based games from users’ perspectives. This study contributes to the existing literature on the adoption of blockchain technology.
Two-stage multi-level equipment grey state prediction model and application
Authors: Li Qiang , Liu Sifeng , Javed Saad Ahmed 
Published: October 2021

PurposeThe purpose of this paper is to develop a new approach for equipment states prediction and provide a method for early warning of possible trouble states.Design/methodology/approachA new two-stage multi-level equipment state classification system was proposed to forecast equipment operation status. The first stage involves predicting the equipment's normal state, and the second stage involves forecasting the equipment's abnormal status. Meanwhile, the equipment state classification is done according to the manufacturing company's internal specifications to define various equipment statuses. Then, the trouble state and waiting state were predicted by grey state prediction model.FindingsA new two-stage multi-level equipment status classification system and a new approach for equipment states prediction has been proposed in this paper.Practical implicationsThe application on a real-world case shown that the model is very effective for predicting equipment state. The equipment's major failure risk can be reduced significantly.Originality/valueThe proposed approach can help improve the effective prediction of the equipment's various operation states and reduce the equipment's major failure risk and thus maintenance costs.
Sentiment analysis in aspect term extraction for mobile phone tweets using machine learning techniques
Authors: Naramula Venkatesh , A. Kalaivania 
Published: October 2021

Purpose
This paper aims to focus on extracting aspect terms on mobile phone (iPhone and Samsung) tweets using NLTK techniques on multiple aspect extraction is one of the challenges. Then, also machine learning techniques are used that can be trained on supervised strategies to predict and classify sentiment present in mobile phone tweets. This paper also presents the proposed architecture for the extraction of aspect terms and sentiment polarity from customer tweets.

Design/methodology/approach
In the aspect-based sentiment analysis aspect, term extraction is one of the key challenges where different aspects are extracted from online user-generated content. This study focuses on customer tweets/reviews on different mobile products which is an important form of opinionated content by looking at different aspects. Different deep learning techniques are used to extract all aspects from customer tweets which are extracted using Twitter API.

Findings
The comparison of the results with traditional machine learning methods such as random forest algorithm, K-nearest neighbour and support vector machine using two data sets iPhone tweets and Samsung tweets have been presented for better accuracy.

Originality/value
In this paper, the authors have focused on extracting aspect terms on mobile phone (iPhone and Samsung) tweets using NLTK techniques on multi-aspect extraction is one of the challenges. Then, also machine learning techniques are used that can be trained on supervised strategies to predict and classify sentiment present in mobile phone tweets. This paper also presents the proposed architecture for the extraction of aspect terms and sentiment polarity from customer tweets.
Social relationships and communication as key characteristics of social franchising in Africa
Authors: Perrigot Rozenn 
Published: October 2021

PurposeThis paper, using a case study on Jibu, a water distribution chain that distributes bottled water in Africa, aims to underline the importance of social relationships and communication within franchise chains operating in the social sector in developing countries and their contribution to the clarification of the concept of social franchising.Design/methodology/approachThe research is based on a case study of Jibu, a water distribution chain composed of 122 franchised units and 2,100 independent retailers. The primary data were gathered through an analysis of in-depth interviews with 67 people (Jibu co-founder, headquarters staff, franchisees, micro-franchisees and customers) in Uganda and Rwanda.FindingsThe findings showed that the extent and richness of social relationships and communication existing within the Jibu chain are not limited to top-down and build a feeling of belonging to a family. These social relationships and communication are key characteristics of social franchising.Practical implicationsThis research can assist franchise experts, franchisors and franchisees to better assess the importance of social relationships and communication in social franchise chains in developing countries and help national and local governments better understand how franchising works in the social sector.Social implicationsFranchising is not limited to hotels, restaurants and retail businesses. Franchising can be applied to businesses that have social goals, in addition to profit goals. For example, the Jibu franchise is a relevant and efficient solution to providing the African people with access to drinking water at an affordable resale price. This paper, thus, contributes to increasing the awareness of this franchising phenomenon in social sectors in developing countries and in Africa, in particular.Originality/valueAccess to drinking water is an important issue in many developing countries, above all in African countries. Franchised water services are an innovation in terms of a business model in developing countries with micro-treatment plants run by franchisees and small units run by micro-franchisees or retailers, both franchisees and micro-franchisees being local entrepreneurs.