bluuebunny/crossref_metadata_2025_split huggingface dataset:
Histone H2Bub1 deubiquitylation is essential for mouse development, but does not regulate global RNA polymerase II transcription
Authors: Wang Fang , El-Saafin Farrah , Ye Tao , Stierle Matthieu , Negroni Luc , Durik Matej , Fischer Veronique , Devys Didier , Vincent Stéphane D. , Tora László 
Published: February 2021

AbstractCo-activator complexes dynamically deposit post-translational modifications (PTMs) on histones, or remove them, to regulate chromatin accessibility and/or to create/erase docking surfaces for proteins that recognize histone PTMs. SAGA (Spt-Ada-Gcn5 Acetyltransferase) is an evolutionary conserved multisubunit co-activator complex with modular organization. The deubiquitylation module (DUB) of mammalian SAGA complex is composed of the ubiquitin-specific protease 22 (USP22) and three adaptor proteins, ATXN7, ATXN7L3 and ENY2, which are all needed for the full activity of the USP22 enzyme to remove monoubiquitin (ub1) from histone H2B. Two additional USP22-related ubiquitin hydrolases (called USP27X or USP51) have been described to form alternative DUBs with ATXN7L3 and ENY2, which can also deubiquitylate H2Bub1. Here we report that USP22 and ATXN7L3 are essential for normal embryonic development of mice, however their requirements are not identical during this process, asAtxn7l3−/−embryos show developmental delay already at embryonic day (E) 7.5, whileUsp22−/−embryos are normal at this stage, but die at E14.5. Global histone H2Bub1 levels were only slightly affected inUsp22null embryos, in contrast H2Bub1 levels were strongly increased inAtxn7l3null embryos and derived cell lines. Our transcriptomic analyses carried out from wild type andAtxn7l3−/−mouse embryonic stem cells (mESCs), or primary mouse embryonic fibroblasts (MEFs) suggest that the ATXN7L3-related DUB activity regulates only a subset of genes in both cell types. However, the gene sets and the extent of their deregulation were different in mESCs and MEFs. Interestingly, the strong increase of H2Bub1 levels observed in theAtxn7l3−/−mESCs, orAtxn7l3−/−MEFs, does not correlate with the modest changes in RNA Polymerase II (Pol II) occupancy and lack of changes in Pol II elongation observed in the twoAtxn7l3−/−cellular systems. These observations together indicate that deubiquitylation of histone H2Bub1 does not directly regulate global Pol II transcription elongation.
Antiproliferative activity and antioxidative potential of Swiss chard from Montenegro, grown under different irrigation and fertilization regimes
Authors: Ivanović Ljubica , Topalović Ana , Bogdanović Višnja , Đurović Dijana , Mugoša Boban , Jadranin Milka , Tešević Vele , Beškoski Vladimir 
Published: February 2021

PurposeThe purpose of this paper is to determine the polyphenol content, antioxidative potential and antiproliferative activity of Swiss chard from Montenegro, grown under different irrigation and fertilization regimes.Design/methodology/approachSwiss chard was grown in the open field (Lješkopolje, Montenegro) where it was subjected to different fertilization and irrigation regimes. Chard samples were analyzed for previously identified polyphenols and for antioxidant parameters. Additionally, in order to complete the biological activities, chard extracts were tested for antiproliferative activity against MFC-7 and HT-29 tumor cell lines.FindingsThe polyphenols identified in Swiss chard were flavonoids: vitexin-2?-O-xyloside, vitexin-6?-O-acetyl-2?-O-xyloside, vitexin-6?-O-malonyl-2?-O-xyloside and isorhamnetin-3,7-diglucoside. In the antioxidant tests, DPPH (2,2-diphenyl-1-picrylhydrazyl), and ABTS (2,2'-azino-bis (3-ethylbenzothiazoline-6-sulfonic acid)), chard extract had values of 7.00 and 8.50 (mean values) µmol Trolox (6-hydroxy-2,5,7,8-tetramethylchroman-2-carboxylic acid) equ/d.w., respectively. The tested chard extracts inhibited cell proliferation at different concentrations (3.125–50.0 µg/mL) against the MCF-7 cell line, after 24 and 48 h of incubation. The antiproliferative activity, expressed in terms of IC50, was 32.97 and 86.45 µg/mL after 24 h of incubation and 20.76 and 23.33 µg/mL after 48 h of incubation, for treated and untreated chard extracts, respectively.Originality/valueThese data suggest Montenegrin Swiss chard grown under different irrigation and fertilization treatments can be considered as a functional food and should be included in an everyday diet. The collected data could help in the growth improvement of chard with functional food properties.
The effects of information technology capability and knowledge base on digital innovation: the moderating role of institutional environments
Authors: Wei Shaobo , Xu Dabao , Liu Hua 
Published: February 2021

PurposeBased on the knowledge-based view, this study investigates how firms' information technology (IT) capability broadens and deepens their knowledge base, which consequently improves digital innovation. By further drawing on the institutional theory perspective, this study examines how the relationships between IT capability and knowledge base are moderated by the institutional environments in which the firm operates.Design/methodology/approachThis paper uses 170 samples of Chinese firms and an empirical test conducted by the authors following a hierarchical moderated regression analysis.FindingsThe results find that IT capability positively affects knowledge breadth and knowledge depth, which consequently improves digital innovation. Furthermore, the study reveals the negative moderating effects of enforcement inefficiency on IT capability–knowledge breadth relationship, and the negative moderating effects of government support on IT capability–knowledge depth relationship.Originality/valueThis research is one of the earliest attempts to explore the impact of the institutional environment of emerging economies on IT capability. It also clarifies the impact of knowledge breadth and knowledge depth on digital innovation.
A person-situation perspective of informal learning: the role of supervisor feedback environment
Authors: Zia Muhammad Qamar , Bashir Muhammad Adnan , Mangi Riaz Ahmed , Shamsi Aamir Feroz 
Published: February 2021

PurposeBased on trait activation theory, the purpose of the present study is to explore the relationship between the antecedents and outcomes of informal learning with the moderating effect of supervisor feedback environment (SFE) in small- and medium-sized enterprises (SMEs).Design/methodology/approachData (n = 388) were gathered from middle managers of Pakistan’s SME sector by following the purposive sampling technique. The proposed model was examined by means of structural equation modeling analysis with AMOS 24.FindingsThe study results delineate that middle managers with high-level self-efficacy and motivation to learn more actively participate in informal learning activities. The study also found that the SFE is a strong contextual moderator between the nexus of personal factors and informal learning. In addition, informal learning also has significant and positive effect on work engagement.Practical implicationsHuman resource practitioners and organizational leaders of small businesses can use informal learning to improve employees’ skills and knowledge with less cost. For instance, management should use different strategies to enhance the effectiveness of informal learning by providing SFE.Originality/valueThere are numerous recent calls for research to ascertain the interaction of individual, contextual factors and outcomes of informal learning. The study addresses these voids by empirically examining antecedents and outcomes of informal learning simultaneously through the person–situation interaction perspective. It demonstrates that informal learning at the workplace becomes more effective in SFE.
Unmanned vehicle dynamic obstacle detection, tracking and recognition method based on laser sensor
Authors: Zhang Hualei , Ikbal Mohammad Asif 
Published: February 2021

PurposeIn response to these shortcomings, this paper proposes a dynamic obstacle detection and tracking method based on multi-feature fusion and a dynamic obstacle recognition method based on spatio-temporal feature vectors.Design/methodology/approachThe existing dynamic obstacle detection and tracking methods based on geometric features have a high false detection rate. The recognition methods based on the geometric features and motion status of dynamic obstacles are greatly affected by distance and scanning angle, and cannot meet the requirements of real traffic scene applications.FindingsFirst, based on the geometric features of dynamic obstacles, the obstacles are considered The echo pulse width feature is used to improve the accuracy of obstacle detection and tracking; second, the space-time feature vector is constructed based on the time dimension and space dimension information of the obstacle, and then the support vector machine method is used to realize the recognition of dynamic obstacles to improve the obstacle The accuracy of object recognition. Finally, the accuracy and effectiveness of the proposed method are verified by real vehicle tests.Originality/valueThe paper proposes a dynamic obstacle detection and tracking method based on multi-feature fusion and a dynamic obstacle recognition method based on spatio-temporal feature vectors. The accuracy and effectiveness of the proposed method are verified by real vehicle tests.
Adult children labour migration and parent health: evidence from Indonesian panel data
Authors: Hasanah Alfiah , Kharisma Bayu , Remi Sutyastie Soemitro 
Published: February 2021

Purpose
This study aims to explore the impact of adult child labour migration on the health of parents and the possible mechanism that contributes to the health of families left behind.

Design/methodology/approach
Several indicators of parents’ health are analysed and several subgroups – parents of migrant sons, parents of migrant daughters, parents aged 50+ and parents who live in rural areas are investigated. The data from Indonesia Family Life Survey are used and the fixed effects method is used to address potential endogeneity and instrumental variables are applied in the sensitivity analysis.

Findings
The labour out-migration of adult children has a positive and significant association with the health status of the parent left behind. The parents of migrant children are more likely to have a better self-rated health status, fewer episodes of morbidity symptoms, fewer unhealthy days, fewer visits to outpatient care and are less likely to be on medication than the parents of non-migrant children.

Research limitations/implications
The study design in a longitudinal setting, however, there is a relatively many years gap between waves could provide insufficient statistical power for measuring health variations. Future studies should consider to explore possible health outcomes for parents who co-resided with an adult child and the types and severity of various disease conditions.

Practical implications
Highlights challenges in health-care provision for older people in Indonesia and the possible contribution of health disparities in developing countries.

Originality/value
Explores the impact of out-migration of adult children on the health of parents left behind, using very recent data of over a long period of a longitudinal design.
Real-time data integration of an internet-of-things-based smart warehouse: a case study
Authors: Sahara Chelinka Rafiesta , Aamer Ammar Mohamed 
Published: February 2021

Purpose
Creating a real-time data integration when developing an internet-of-things (IoT)-based warehouse is still faced with challenges. It involves a diverse knowledge of novel technology and skills. This study aims to identify the critical components of the real-time data integration processes in IoT-based warehousing. Then, design and apply a data integration framework, adopting the IoT concept to enable real-time data transfer and sharing.

Design/methodology/approach
The study used a pilot experiment to verify the data integration system configuration. Radio-frequency identification (RFID) technology was selected to support the integration process in this study, as it is one of the most recognized products of IoT.

Findings
The experimentations’ results proved that data integration plays a significant role in structuring a combination of assorted data on the IoT-based warehouse from various locations in a real-time manner. This study concluded that real-time data integration processes in IoT-based warehousing could be generated into three significant components: configuration, databasing and transmission.

Research limitations/implications
While the framework in this research was carried out in one of the developing counties, this study’s findings could be used as a foundation for future research in a smart warehouse, IoT and related topics. The study provides guidelines for practitioners to design a low-cost IoT-based smart warehouse system to obtain more accurate and timely data to support the quick decision-making process.

Originality/value
The research at hand provides the groundwork for researchers to explore the proposed theoretical framework and develop it further to increase inventory management efficiency of warehouse operations. Besides, this study offers an economical alternate for an organization to implement the integration software reasonably.
How legitimate are the environmental sustainability claims of luxury conglomerates?
Authors: Wells Victoria , Athwal Navdeep , Nervino Esterina , Carrigan Marylyn 
Published: February 2021

PurposeBy responding to scholarly calls, this study examines the environmental reports of LVMH and Kering. The study extends legitimacy theory to ascertain the credibility of the aforementioned luxury conglomerates' commitment to environmental sustainability.Design/methodology/approachA corpus-assisted discourse analysis centred upon the Global Reporting Initiative (GRI) guidelines is used to examine the environmental disclosures of LVMH and Kering.FindingsThe findings show inconsistencies due to the lack of brand-level reporting and reporting quality falls short of comparable sustainability reporting within each conglomerate and with one another. Selective and unbalanced reporting along with symbolic management undermines the legitimacy of sustainability efforts by LVMH and Kering.Originality/valueDespite the increased attention paid to sustainable luxury, few studies critically analyse how luxury brands formally report on sustainability.
Learning-based error modeling in FDM 3D printing process
Authors: Charalampous Paschalis , Kostavelis Ioannis , Kontodina Theodora , Tzovaras Dimitrios 
Published: February 2021

Purpose
Additive manufacturing (AM) technologies are gaining immense popularity in the manufacturing sector because of their undisputed ability to construct geometrically complex prototypes and functional parts. However, the reliability of AM processes in providing high-quality products remains an open and challenging task, as it necessitates a deep understanding of the impact of process-related parameters on certain characteristics of the manufactured part. The purpose of this study is to develop a novel method for process parameter selection in order to improve the dimensional accuracy of manufactured specimens via the fused deposition modeling (FDM) process and ensure the efficiency of the procedure.

Design/methodology/approach
The introduced methodology uses regression-based machine learning algorithms to predict the dimensional deviations between the nominal computer aided design (CAD) model and the produced physical part. To achieve this, a database with measurements of three-dimensional (3D) printed parts possessing primitive geometry was created for the formulation of the predictive models. Additionally, adjustments on the dimensions of the 3D model are also considered to compensate for the overall shape deviations and further improve the accuracy of the process.

Findings
The validity of the suggested strategy is evaluated in a real-life manufacturing scenario with a complex benchmark model and a freeform shape manufactured in different scaling factors, where various sets of printing conditions have been applied. The experimental results exhibited that the developed regressive models can be effectively used for printing conditions recommendation and compensation of the errors as well.

Originality/value
The present research paper is the first to apply machine learning-based regression models and compensation strategies to assess the quality of the FDM process.
Executive Accountability and National Security
Authors: Woods Lorna , McNamara Lawrence , Townend Judith 
Published: February 2021

AbstractThe protection of national security has traditionally been an exception to general norms of public accountability, based on prerogative powers. The last three decades have seen efforts to bring national security closer to the normal constitutional control mechanisms of parliament and the courts. The design of and changes to mechanisms of accountability have, however, been accepted without discussion of the often narrower purposes for which they were first established (most notably for oversight of surveillance), the extent of their departure from constitutional principles, or their impact in embedding new forms of exceptionalism in the constitutional framework. This article critically assesses these developments, prompted for example by the Law Commission's recommendations to reform official secrets laws, which adopted trusted intermediary and indirect accountability models without full consideration of historical and contemporary concerns or the exceptionalism on which they were based. Though focused on the UK, our account provides a cautionary tale for national security law reform in any modern democracy.
Diagnostic indicators of risk‐prone health behaviors in pregnant adolescents
Authors: Santos Rosely Leyliane dos , Oliveira Antonia Jussara Olinda , de Sampaio Ygor Cleiton Oliveira , Guedes Nirla Gomes , Lopes Marcos Venícios de Oliveira , da Silva Viviane Martins 
Published: February 2021

AbstractPurposeThis study aimed to identify diagnostic indicators associated with the nursing diagnosis risk‐prone health behaviors in pregnant adolescents.MethodsWe conducted a cross‐sectional study. The sample consisted of 181 pregnant adolescents. A latent class analysis was conducted to verify associations between the defining characteristics of risk‐prone health behaviors and diagnostic accuracy measures. Logistic regression was used to identify factors associated with the manifestation of risk‐prone health behavior.FindingsThe prevalence of risk‐prone health behaviors in this sample was 31.04%. The defining characteristics failure to take action that prevents health problems and inappropriate eating habits achieved a high sensitivity. The related factors such as insufficient social support, stressors, low self‐efficacy, social anxiety, isolated region of residence, and restricted access to health services presented significant associations with risk‐prone health behavior.ConclusionsThe diagnostic indicators associated with the nursing diagnosis of risk‐prone health behavior were failure to take action that prevents health problems inappropriate eating habits, insufficient social support, stressors, low self‐efficacy, social anxiety, isolated region of residence, and restricted access to health services.Implications for nursing practiceThis study contributes to knowledge about the diagnostic indicators of risk‐prone health behavior, which may help nurses reach the proper diagnosis. This will facilitate the application of clinical judgment in nursing care to assist pregnant adolescents.
Sex‐Specific Risk Profiles for Suicide Among Persons with Substance Use Disorders in Denmark
Authors: Adams Rachel Sayko , Jiang Tammy , Rosellini Anthony J. , Horváth‐Puhó Erzsébet , Street Amy E. , Keyes Katherine M. , Cerdá Magdalena , Lash Timothy L. , Sørensen Henrik Toft , Gradus Jaimie L. 
Published: February 2021

AbstractBackground and AimsPersons with substance use disorders (SUDs) are at elevated risk of suicide death. We identified novel risk factors and interactions that predict suicide among men and women with SUD using machine learning.DesignCase–cohort study.SettingDenmark.ParticipantsThe sample was restricted to persons with their first SUD diagnosis during 1995 to 2015. Cases were persons who died by suicide in Denmark during 1995 to 2015 (n= 2774) and the comparison subcohort was a 5% random sample of individuals in Denmark on 1 January 1995 (n= 13 179).MeasurementsSuicide death was recorded in the Danish Cause of Death Registry. Predictors included social and demographic information, mental and physical health diagnoses, surgeries, medications, and poisonings.FindingsPersons among the highest risk for suicide, as identified by the classification trees, were men prescribed antidepressants in the 4 years before suicide and had a poisoning diagnosis in the 4 years before suicide; and women who were 30+ years old and had a poisoning diagnosis 4 years before and 12 months before suicide. Among men with SUD, the random forest identified five variables that were most important in predicting suicide; reaction to severe stress and adjustment disorders, drugs used to treat addictive disorders, age 30+ years, antidepressant use, and poisoning in the 4 prior years. Among women with SUD, the random forest found that the most important predictors of suicide were prior poisonings and reaction to severe stress and adjustment disorders. Individuals in the top 5% of predicted risk accounted for 15% of all suicide deaths among men and 24% of all suicides among women.ConclusionsIn Denmark, prior poisoning and comorbid psychiatric disorders may be among the most important indicators of suicide risk among persons with substance use disorders, particularly among women.
An inguinal hernia that arose after robot‐assisted radical prostatectomy and the repair of an intraoperative external iliac vein injury: A case report
Authors: Nakanishi Ryo , Igarashi Kazuharu , Hosaka Miki , Ishi Satoru , Tsutsui Atsuko , Wakabayashi Go 
Published: February 2021

AbstractThis case involved a 63‐year‐old man. He underwent robot‐assisted radical prostatectomy (RARP) for prostate cancer. One year after the operation, he consulted our hospital about left inguinal swelling. Under a diagnosis of a left external inguinal hernia, transabdominal preperitoneal repair (TAPP) was performed under general anesthesia. The inside of the hernia orifice had been damaged by the RARP, and the resultant fibrosis was so marked that it was difficult to dissect the preperitoneal space. Furthermore, an external iliac vein injury occurred during the operation. The bleeding was controlled, and we used laparoscopic continuous non‐absorbable sutures to repair the external iliac vein injury. The number of TAPP procedures performed after radical prostatectomy has been increasing in recent years, but dissecting the preperitoneal space inside a hernia orifice is difficult. Although external iliac vein injuries are rare complications of TAPP procedures, they can be laparoscopically repaired.