bluuebunny/crossref_metadata_2025_split huggingface dataset:
Asymmetric Redundancy of SoybeanNodule Inception(NIN) Genes in Root Nodule Symbiosis
Authors: Fu Mengdi , Sun Jiafeng , Li Xiaolin , Guan Yuefeng , Xie Fang 
Published: August 2021

ABSTRACTNINis one of the most important root nodule symbiotic genes as it is required for both infection and nodule organogenesis in legume. Unlike most legumes with a soleNINgene, there are four putativeNINgenes in soybean (Glycine max). Whether and how these orthologsNINgenes contribute to soybean-rhizobia symbiotic interaction remain unknown. In this study, we found that all fourGmNINgenes are induced by rhizobia, and that conserved CE and CYC binding motifs in their promoter regions are required for their expression in the nodule formation process. By generation of multiplexGmninmutants, we found thatGmnin1a nin2a nin2btriple mutant andGmnin1a nin1b nin2a nin2bquadruple mutant displayed similar defects in rhizobia infection and root nodule formation,Gmnin2a nin2bproduced less nodules but displayed hyper infection phenotype than wild type, while aGmnin1a nin1bdouble mutant nodulated as wild type. Overexpression ofGmNIN1a,GmNIN1b, GmNIN2a, andGmNIN2breduced nodule numbers after rhizobia inoculation, withGmNIN1boverexpression having the weakest effect. In addition, overexpression ofGmNIN1a,GmNIN2a, orGmNIN2b, but notGmNIN1b, produced malformed pseudo-nodule like structures without rhizobia inoculation. In conclusion, GmNIN1a, GmNIN2a and GmNIN2b play functionally redundant yet complicated roles for soybean nodulation. GmNIN1b, although is expressed at comparable level with other homologs, plays a minor role in root nodule symbiosis. Our work provides insight into the understanding of asymmetrically redundant function ofGmNINgenes in soybean.
Dopamine D3 Receptor Ligand Suppresses the Expression of Levodopa-Induced Dyskinesia in Nonhuman Primate Model of Parkinson’s Disease
Authors: Oh Thomas , Daadi Elyas S. , Kim Jeffrey , Daadi Etienne W. , Chen Peng-Jen , Roy-Choudhury Gourav , Bohmann Jonathan , Blass Benjamin E. , Daadi Marcel M. 
Published: August 2021

ABSTRACTParkinson’s disease (PD) is a complex multisystem, chronic and so far incurable disease with significant unmet medical needs. The incidence of PD increases with aging and the expected burden will continue to escalate with our aging population. Since its discovery in the 1961 levodopa remains the gold standard pharmacotherapy for PD. However, the progressive nature of the neurodegenerative process in and beyond the nigrostriatal system causes a multitude of side effects, including levodopa-induced dyskinesia within 5 years of therapy. Attenuating dyskinesia has been a significant challenge in the clinical management of PD. We report on a small molecule that eliminates the expression of levodopa-induced dyskinesia and significantly improves PD-like symptoms. The lead compound PD13R we discovered is a dopamine D3 receptor partial agonist with high affinity and selectivity, orally active and with desirable drug-like properties. Future studies are aimed at developing this lead compound for treating PD patients with dyskinesia.
Pathological LSD1 mutations repress enhancer-mediated gene regulatory networks in early differentiation
Authors: Bunina Daria , Germain Pierre-Luc , Lopez Tobon Alejandro , Fernandez-Novel Marx Nadine , Arnold Christian , Ahern Andrew , Claringbould Annique , Lai Mang Ching , Rangasamy Sampath , Narayanan Vinodh , Lorentzen Peter , Park Karen M. , Adamo Antonio , Testa Giuseppe , Zaugg Judith , Noh Kyung-Min 
Published: August 2021

AbstractLysine-specific demethylase 1 (LSD1/KDM1A) demethylates both histone and non-histone substrates, recruits repressive chromatin complexes, and is increased in cancers. De novo LSD1 mutations impairing protein function lead to a rare developmental disorder, but the molecular details of the pathology remains unclear. Using patient-derived fibroblasts, reprogrammed pluripotent stem cells, and differentiated cells, we found over 4000 differentially expressed genes and 68 transcription factors (TFs) whose motif accessibilities changed upon LSD1 mutation. An enhancer-mediated gene regulatory network approach identified transcriptional repressors with impaired activity in fibroblast and stem cells, leading to erroneous activation of their target genes. We also revealed overall decreases in TF target gene expression during early lineage differentiation of LSD1 mutant stem cells, likely caused by increased activity of repressive histone deacetylases (HDACs), co-factors of LSD1. Indeed, an HDACs inhibitor restored changes in gene expression including downregulation phenotype. Our findings characterize the molecular pathogenesis of LSD1 mutations and suggest potential therapeutic strategies for the developmental disorder and cancers caused by LSD1 dysregulations.
Boruta-grid-search least square support vector machine for NO2 pollution prediction using big data analytics and IoT emission sensors
Authors: Balogun Habeeb , Alaka Hafiz , Egwim Christian Nnaemeka 
Published: August 2021

PurposeThis paper seeks to assess the performance levels of BA-GS-LSSVM compared to popular standalone algorithms used to build NO2 prediction models. The purpose of this paper is to pre-process a relatively large data of NO2 from Internet of Thing (IoT) sensors with time-corresponding weather and traffic data and to use the data to develop NO2 prediction models using BA-GS-LSSVM and popular standalone algorithms to allow for a fair comparison.Design/methodology/approachThis research installed and used data from 14 IoT emission sensors to develop machine learning predictive models for NO2 pollution concentration. The authors used big data analytics infrastructure to retrieve the large volume of data collected in tens of seconds for over 5 months. Weather data from the UK meteorology department and traffic data from the department for transport were collected and merged for the corresponding time and location where the pollution sensors exist.FindingsThe results show that the hybrid BA-GS-LSSVM outperforms all other standalone machine learning predictive Model for NO2 pollution.Practical implicationsThis paper's hybrid model provides a basis for giving an informed decision on the NO2 pollutant avoidance system.Originality/valueThis research installed and used data from 14 IoT emission sensors to develop machine learning predictive models for NO2 pollution concentration.
Design and topological optimization of rear pressure bulkhead for a typical aircraft
Authors: Thakran Marshal , Meenakshi  , Sharma Jitender , Martin Charles Gilbert 
Published: August 2021

Purpose
The purpose of this paper is to evaluate the model of a rear pressure bulkhead with different design optimizations to meet the pressurized cabin requirements of an aircraft.

Design/methodology/approach
This paper presents the results of the static analysis of a dome-shaped rear pressure bulkhead model designed in Catia-v5. Numerical analysis of model meshed in hyper-mesh and solved using Opti-Struct for iterative design optimizations.

Findings
All the iterative models are analyzed at 9 Psi. Rear pressure bulkhead designed with L-section stringer shows better results than the model optimized with T-section stringer for the same thickness. The model optimized with L-shaped stinger also reduces the weight of the bulkhead without affecting the structural integrity.

Practical implications
It has been concluded in this paper that the selection of specific shapes of the stringers shows a significant influence on weight reduction.

Originality/value
This paper provides a topical, technical insight into the design and development of a rear pressure bulkhead. It also outlines the future development of dome-shaped rear pressure bulkhead.
A modified model of conductor roughness for manufacturing copper lines of printedcircuit board
Authors: Wang Chong , Wang Yingjie , Adi Kegu , Huang Yunzhong , Chen Yuanming , Wang Shouxu , He Wei , Tang Yao , Sun Yukai , Zhang Weihua , Xu Chenggang , He Xuemei 
Published: August 2021

Purpose
The purpose of this paper is to establish an accurate model to quantify the effect of conductor roughness on insertion loss (IL) and provide improved measurements and suggestions for manufacturing good conductive copper lines of printed circuit board.

Design/methodology/approach
To practically investigates the modified model of conductor roughness, three different kinds of alternate oxidation treatments were used to provide transmission lines with different roughness. The IL results were measured by a vector net analyzer for comparisons with the modified model results.

Findings
An accurate model, with only a 1.8% deviation on average from the measured values, is established. Compared with other models, the modified model is more reliable in industrial manufacturing.

Originality/value
This paper introduces the influence of tiny roughness structures on IL. Besides, this paper discusses the effect of current distribution on IL.
Digital transformation with enterprise architecture for smarter cities: a qualitative research approach
Authors: Anthony Jnr Bokolo , Abbas Petersen Sobah , Helfert Markus , Guo Hong 
Published: August 2021

PurposeSmart city services are supported by information and communication technologies (ICT) referred to as digital technologies which increasingly promise huge opportunities for growth but are faced with system alignment and data integration issues when providing digital services. Therefore, this study aims to use enterprise architecture (EA) in digital transformation of cities by developing an architecture to address system alignment and data integration in digital transformation of cities.Design/methodology/approachQualitative method is applied to evaluate the presented architecture based on electric-mobility (e-mobility) scenario, and data was collected using case study via interviews from a municipality in Norway to validate the applicability of EA for digital transformation of city services.FindingsFindings from the interviews were represented in ArchiMate language to model the digital transformation of e-mobility in smart cities. Findings suggest that the architecture serves as a guide to recommend urban administrators of the potential of EA and digital transformation in addressing system alignment and data integration issues in smart cities.Research limitations/implicationsData used in this study is from a single case, hence there is a need to evaluate the application of EA for digital transformation of city services with data collected from multi-cases.Practical implicationsThis study adopts enterprise architecture approach to support city transformation as it has been widely applied by institutions to align business and ICT components.Social implicationsThis study provides implication on how municipalities can use EA and digital transformations towards a sustainable smart city.Originality/valueAn architecture is presented that can be used as a guide to help urban developers and designers in deploying sustainable transport policies for smart cities. Additionally, EA is used to foster digitalization towards achieving system alignment and data integration in cities to support urban environment as they digitally transform services provided to citizens.
A temporal study on subordinate’s response to destructive leadership: voice withdrawal as a conflict coping mechanism
Authors: Pandey Agrata , Nambudiri Ranjeet , Selvaraj Patturaja , Sadh Ashish 
Published: August 2021

PurposeThe literature on destructive leadership has largely ignored the perspective of the subordinate, especially in terms of conflict coping mechanisms. This study aims to integrate research on destructive leadership and subordinates’ voice behaviour as a conflict coping mechanism. Drawing on the social exchange, conservation of resources and social identity theories, it argues that destructive leadership negatively affects employees’ voice behaviour and that this relationship is moderated by subordinate personality and organization climate.Design/methodology/approachThe proposed model was tested on a sample of 275 professionals working in the banking and insurance sector in India using a temporal research design with data collected in two phases six months apart. Partial least squares structural equation modelling was used for data analysis.FindingsThe results support the main effect relationship between destructive leadership and subordinates’ voice behaviour and the moderation of subordinates’ personality and organizational climate. Temporal analysis indicates that the nature of some relationships changed across the two time periods.Practical implicationsA greater understanding of destructive leader behaviour and resultant coping strategies of subordinates is likely to provide insights for managers facing such situations. The findings of this study will inform the creation of redressal and voice mechanisms in organizations.Originality/valueThis is among the first studies to examine the impact of negative forms of leadership on subordinates’ conflict coping mechanisms using a temporal lag design across two time periods.
Airbnb and hotels during COVID-19: different strategies to survive
Authors: Gyódi Kristóf 
Published: August 2021

Purpose
The purpose of this paper is to examine the impact of the COVID-19 pandemic on the traditional hotel industry and Airbnb in nine major European cities. The author examines differences between the two business models and analyses various strategies of Airbnb hosts to cope with the crisis.

Design/methodology/approach
A detailed empirical analysis is presented based on data from STR and Inside Airbnb for the period January 2018–September 2020. To assess the impact of the pandemic on the hotel industry, year-to-year changes in various performance metrics are presented. The author also investigates the impact of the pandemic on Airbnb prices with panel data regression analysis. Using text-mining methods, signs for new use-cases are explored, including renting flats for home-office or quarantine.

Findings
The results support that Airbnb supply is more flexible. While hotel supply quickly returned to a level close to 2019, the average number of Airbnb listings was lower by more than 15%. Furthermore, the price analysis showed that Airbnb rates decreased more moderately than hotel prices. These findings suggest that a significant share of hosts pivoted from short-term accommodation provision and used their property differently, e.g. rented on a long-term basis. The analysis of listing characteristics revealed that the role of longer stays increased; however, the results do not support a shift towards advertising listings for home-office or quarantine purposes.

Originality/value
This paper presents the impact of the pandemic on the hospitality sector in a wide sample of European cities, explores the adjustment of hotels and Airbnb and provides new evidence on the differences between the business models.
Performance management of OECD countries on Covid-19 pandemic: a criticism using data envelopment analysis models
Authors: Doğan Mustafa İsa , Özsoy Volkan Soner , Örkcü H. Hasan 
Published: August 2021

Purpose
The Covid-19 pandemic spread rapidly around the world and required strict restriction plans and policies. In most countries around the world, the outbreak of the disease has been serious and has greatly affected the health system and the economy. The factors such as the number of patients with chronic diseases, the number of people over 65 years old, hospital facilities, the number of confirmed Covid-19 cases, the recovering Covid-19 cases and the number of deaths affect the rate of spread of Covid-19. This study aims to evaluate the performances of 21 Organisation for Economic Co-operation and Development (OECD) countries against the Covid-19 outbreak using three data envelopment analysis (DEA) models.

Design/methodology/approach
In this study, the performance of 21 OECD countries to manage the Covid-19 process has been analysed weekly via DEA which is widely used in various practical problems and provides a general framework for efficiency evaluation problems using the inputs and outputs of decision-making units.

Findings
The analysis showed that 11 countries out of 21 countries were efficient for selected weeks. According to the DEA results from the 20-week review (09 April 2020–20 August 2020), information about the course of the epidemic prevention and the normalization process for any country can be obtained.

Originality/value
In this study, due to the problem of the discrimination power of DEA, the cross-efficiency model and the super-efficiency model also used. In addition, the output-oriented model was preferred in this study for Covid-19 management efficiency.
Nascent entrepreneur characteristic predictors of early-stage entrepreneurship outcomes
Authors: Lanivich Stephen E. , Lyons Laci M. , Wheeler Anthony R. 
Published: August 2021

PurposeSocial cognitive theory suggests that entrepreneurs' characteristics affect entrepreneurial outcomes through interaction with their environment. This study examines the relationship between entrepreneurs' characteristics and performance in the context of entrepreneurial nascence.Design/methodology/approachThis study investigated lagged-panel responses from a sample of 100 confirmed nascent entrepreneurs. Data collected on three separate occasions included core self-evaluations, commitment, fear of failure and success. PLS analysis was used to assess mediation of commitment on the self-evaluation – success relationship.FindingsCore self-evaluations are an important predictor of entrepreneurial success in nascent-stage entrepreneurs participating in pre-venture assistance programs; positively affecting success and commitment, while negatively affecting fear of failure.Research limitations/implicationsThis investigation contributes to a fuller understanding of social cognitive theory as it pertains to nascent entrepreneurship. Furthermore, contrary to general expectations found in the entrepreneurship literature, the authors uncover a context where entrepreneurs' characteristics are relevant predictors of early entrepreneurial outcomes.Practical implicationsResults showed core self-evaluations as a robust predictor of perceived success in nascent entrepreneurs. Administrators of pre-venture assistance programs should consider screening applicants to programs designed to assist nascent entrepreneurial opportunity development for signs of high core self-evaluations.Originality/valueThis study advances theory by (1) demonstrating the value of assessing nascent entrepreneurs' core self-evaluations as a specific predictor of early-stage entrepreneurial outcomes, (2) suggesting social interaction amidst participation in pre-venture assistance programs makes commitment a salient part of perceived success and (3) providing evidence that entrepreneur-level characteristics need consideration in the context of nascent entrepreneurship and pre-venture assistance programs.
Perspective of volunteer staff on the effectiveness of peer-support programs: a case study
Authors: Dudley-Miller Vanessa , Radel Jeff 
Published: August 2021

Purpose
This study aims to explore perceived effectiveness in the Warriors' Ascent program through interviews of volunteer staff, to leverage improvements in the design and delivery of programs through peer-volunteers.

Design/methodology/approach
Focused interviews were conducted to explore peer-volunteer perspectives on program effectiveness. The alignment of themes and statements emerging from interviews was explored in detail relative to the program curriculum.

Findings
Five main themes emerged, with alignment for 86% of the peer-volunteers’ commentary and program curriculum. Areas of non-alignment may present opportunities for program growth.

Practical implications
Analysis of peer-volunteer perspectives on practical activities and overall program effectiveness identified options to enhance program delivery. Warriors’ Ascent and both existing and emerging organizations (such as those who will serve distressed frontline pandemic workers) are essential social resources poised to evolve by encompassing appreciation and more effective use of non-professional volunteer support staff.

Originality/value
Peer-volunteers supporting behavior change programs are an emerging focus for research. Peer-volunteers contribute unique perspectives, common experiences and building of relations with a program’s participants serving as an effective agent of change contributing toward healthier lifestyles. Considering the influences of peer-volunteers during program evaluation allows triangulation among sources of information and offers additional opportunities for influencing program growth.
Challenging leisure activities and mental health: are they more beneficial for some people than for others?
Authors: Santini Ziggi Ivan , Koushede Vibeke , Hinrichsen Carsten , Nelausen Malene Kubstrup , Madsen Katrine Rich , Meilstrup Charlotte , Koyanagi Ai , Nielsen Line 
Published: August 2021

Purpose
Previous studies have shown a positive association between being engaged or challenged through a leisure activity and good mental health; however, this relationship may vary by the extent to which individuals feel challenged at work or school. This study aims to examine whether a challenging work/study (or the lack of it) moderates the relationship between engaging in challenging leisure activity and mental health.

Design/methodology/approach
Data from 2,406 adults 16–64 years old from The Danish Mental Health and Well-Being Survey 2016 were linked to Danish national register-based data. Mental well-being (outcome) was assessed using the Warwick-Edinburgh Mental Well-being Scale and depression/anxiety symptoms (outcome) were assessed using the Patient Health Questionnaire-4. Multivariable linear regressions were performed to estimate the association between challenging leisure activity (predictor) and challenging work/study (potential moderator).

Findings
Overall, engaging in a challenging leisure activity was positively associated with mental well-being and negatively associated with anxiety symptoms. For these two, a challenging work/study significantly moderated the relationships. The positive association between a challenging activity and mental well-being was strongest among individuals not employed or studying as well as individuals feeling less challenged at work/school. Similarly, the negative association between a challenging activity and anxiety symptoms was strongest among individuals not employed or studying as well as individuals feeling less challenged at work/school. Among individuals with a very challenging work/study, challenging leisure activity was not associated with anxiety symptoms. Finally, engaging in a challenging leisure activity did not significantly predict depression symptoms.

Originality/value
Mental health promotion strategies may focus on promoting challenging leisure activities especially among groups not employed or enrolled in education or among individuals that do not feel challenged through their work or studies. The results may further have implications for efforts to address and protect employee/student mental health at workplaces or schools.