bluuebunny/crossref_metadata_2025_split huggingface dataset:
The cryo-EM structure of the CENP-A nucleosome in complex with ggKNL2
Authors: Jiang Honghui , Ariyoshi Mariko , Watanabe Reito , Makino Fumiaki , Namba Keiichi , Fukagawa Tatsuo 
Published: June 2022

AbstractCentromere protein A (CENP-A) nucleosome is an epigenetic marker that specifies centromere position. The Mis18 complex is a licensing factor for new CENP-A deposition via the CENP-A chaperone, Holliday junction recognition protein (HJURP) on the centromere chromatin. Chicken KINETOCHORE NULL2 (KNL2) (ggKNL2), a Mis18 complex component, has a CENP-C-like motif, and our previous study suggested that ggKNL2 directly binds to the CENP-A nucleosome to recruit HJURP/CENP-A to the centromere. However, the molecular basis for CENP-A nucleosome recognition by ggKNK2 remains unclear. Here, we present the cryo-EM structure of the chicken CENP-A nucleosome in complex with a ggKNL2 fragment containing a CENP-C-like motif. Chicken KNL2 distinguishes between CENP-A and histone H3 in the nucleosome using the CENP-C-like motif and its downstream region. Both the C-terminal tail and RG-loop of CENP-A are simultaneously recognized as CENP-A characteristics. The CENP-A nucleosome-ggKNL2 interaction is thus essential for CENP-A deposition. Furthermore, our structural, biochemical, and cell biology data indicate that ggKNL2 alters its binding partner at the centromere during chicken cell cycle progression.
NHR-23 and SPE-44 regulate distinct sets of genes during C. elegans spermatogenesis
Authors: Ragle James Matthew , Morrison Kayleigh N. , Vo An A. , Johnson Zoe E. , Lopez Javier Hernandez , Rechtsteiner Andreas , Shakes Diane C. , Ward Jordan D. 
Published: June 2022

ABSTRACTSpermatogenesis is the process through which mature male gametes are formed and is necessary for transmission of genetic information. While much work has established how sperm fate is promoted and maintained, less is known about how the sperm morphogenesis program is executed. We previously identified a novel role for the nuclear hormone receptor transcription factor, NHR-23, in promoting C. elegans spermatogenesis. Depletion of NHR-23 along with SPE-44, another transcription factor that promotes spermatogenesis, caused additive phenotypes. Through RNA-seq, we determined that NHR-23 and SPE-44 regulate distinct sets of genes. Depletion of both NHR-23 and SPE-44 produced yet another set of differentially regulated genes. NHR-23- regulated genes are enriched in phosphatases, consistent with the switch in spermatids to post-translational regulation following genome quiescence. In the parasitic nematode Ascaris suum, MFP1 and MFP2 control the polymerization of Major Sperm Protein, the molecule that drives sperm motility and serves as a signal to promote ovulation. NHR-23 and SPE-44 regulate a number of MFP2 paralogs, and NHR-23 depletion caused defective localization of MSD/MFP1 and NSPH-2/MFP2. Although NHR-23 and SPE-44 do not transcriptionally regulate the casein kinase gene spe-6, a key regulator of sperm development, SPE-6 protein is lost following NHR-23+SPE-44 depletion. Together, these experiments provide the first mechanistic insight into how NHR-23 promotes spermatogenesis and an entry point to understanding the synthetic genetic interaction between nhr-23 and spe-44.
FAOF: a feature aggregation method based on optical flow for gangue detection on production environment
Authors: Yanzi Miao , Xiaolin Wang , Yuanhao Zhang , Liang Ji , Yizhou Wang , Zhiyang Xu 
Published: June 2022

Purpose
The purpose of this paper is to improve the precision of gangue detection. In the real production environment, some gangue features are not obvious, and it is difficult to distinguish between coal and gangue. The color of the conveyor belt is similar to the gangue, the background noise also brings challenge to gangue detection. To address the above problems, we propose a feature aggregation method based on optical flow (FAOF).

Design/methodology/approach
An FAOF is proposed. First, to enhance the feature representation of the current frame, FAOF applies the timing information of video stream, propagates the feature information of the past few frames to the current frame by optical flow. Second, the coordinate attention (CA) module is adopted to suppress the noise impact brought by the background of convey belt. Third, the Mish activation function is used to replace rectified linear unit to improve the generalization capability of our model.

Findings
The experimental results show that the gangue detection model proposed in this paper improve 4.3 average precision compared to baseline. This model can effectively improve the accuracy of gangue detection in real production environment.

Originality/value
The key contributions are as follows: this study proposes an FAOF; this study adds CA module and Mish to reduce noise from the background of the conveyor belt; and this study also constructs a large gangue data set.
Busy CEOs and financial reporting quality: evidence from Indonesia
Authors: Harymawan Iman , Nasih Mohammad , Rahayu Nadia Klarita , Kamarudin Khairul Anuar , Wan Ismail Wan Adibah 
Published: June 2022

PurposeThis study aims to examine the relationship between CEO busyness and financial reporting quality in a country which implements a two-tier board system.Design/methodology/approachThis study includes firms listed on the Indonesian Stock Exchange during the 2010–2018 period. This study employs an ordinary least squares regression, the propensity score matching procedure, and a Heckman two-stage regression in testing the hypothesis.FindingsThis study finds that firms with busy directors have a higher financial reporting quality, and these results are robust to a battery or sensitivity analysis. The additional analyses also find that a busy CEO is negatively associated with the firm's financial reporting quality with decreasing income.Practical implicationsThis paper provides implications for policy-makers in the emerging market on devising policies on CEOs' appointments, especially when involving multiple directorships. Despite the general belief on the detrimental workload effects of busy directors, this study offers evidence supporting the opposite effect.Originality/valueAs many previous studies focused on the effect of director busyness on firm’s performance, this study focusses on the effect of CEO busyness on financial reporting quality. To the best of our knowledge, this study is the first to investigate this issue in an emerging market.
Framework for zero-defect manufacturing in Indian industries – Voice of the customer
Authors: Yadav Narottam , Kaliyan Mathiyazhagan , Saikouk Tarik , Goswami Susobhan , Görçün Ömer Faruk 
Published: June 2022

PurposeThe present paper proposes a framework for zero-defect manufacturing in Indian industries. Due to the current competitive market, there is a strong need to achieve zero defects from the customer's perspective. A survey questionnaire is analyzed based on the responses and a structured framework is drafted to implement zero defect manufacturing in the Indian industry.Design/methodology/approachTo analyze zero-defect in Indian industries, a literature review and a survey questionnaire constituted a framework. This framework is independent of the type of process and product.FindingsThe findings of this study are based on a total of 925 responses received through survey questionnaires by different mediums. The framework has been tested in different manufacturing organizations to achieve zero-defect through the continuous improvement approach.Practical implicationsThe study results aim to achieve zero-defect, help to improve customer satisfaction, reduce waste and rework in the manufacturing process. This framework is also used as a problem-solving approach to implement Six Sigma in the Indian industries.Originality/valueZero defect manufacturing is growing in India and globally. This framework helps to implement zero defect manufacturing in Indian industries. It is an essential tool to capture the voice of the customer.
Critical success criteria for retirement village public – private partnership housing
Authors: Osei-Kyei Robert , Narbaev Timur , Atafo-Adabre Michael , Chileshe Nicholas , Ofori-Kuragu Joseph Kwame 
Published: June 2022

Purpose
The demand for retirement villages globally has been increasing due to the rapid growth in the ageing population in recent years. To address the rising challenges in the retirement market, the public–private partnership (PPP) has become a feasible method to develop retirement villages. This paper aims to survey and examine the key success criteria (SC) for using the PPP approach in the retirement village sector.

Design/methodology/approach
An empirical questionnaire survey was conducted with experts experienced in international PPP and retirement village. The analysis was conducted using one-way analysis of variance, mean score analysis, Kendall’s coefficient of concordance and factor analysis.

Findings
Results indicate that out of the 16 recognized SC, the most significant ones are SC1: “Affordability”, SC11: “Reduced social isolation of residents” and SC14: “Improvement of emotional wellbeing of residents”. Furthermore, results from the factor analysis technique indicate that the 16 SC can be classified into five major factor groupings, and these include SCG1 – “Financial performance of project”; SCG2 – “Adherence to design and technical specifications”; SCG3 – “Adherence to local council/authority’s environmental health and socio-economic requirements”; SCG4 – “Social inclusion and risk management”; and SCG5 – “Advancement in emotional wellbeing and physical health of residents”.

Originality/value
The study will sufficiently assist retirement village stakeholders, retirement village project participants and related government authorities of the best measures to put in place to maintain the sustainable development of the global retirement village market.
Sustainably Developing in a Digital World: harnessing artificial intelligence to meet the imperatives of work-based learning in Industry 5.0
Authors: Al Mubarak Muneer 
Published: June 2022

Purpose:
Mainly in terms of human-machine interactions, this paper discusses salient issues related to work-based learning in reference to technologies in the Industry 5.0 era.

Design/methodology/approach:
Several ideas are discussed based on recent thinking in the topic, putting forward visions that are likely to happen with Industry 5.0 revolution with prime focus on human-machine interactions.

Findings:
The review elucidated a plethora of benefits in terms of human-machine interactions inasmuch as technology complements rather than replaces human efforts that includes enhancement of: efficiency and production, job security and skill-upgrading. To engender these benefits, however, legal, psychological, and ethical issues need to be transcended on the managerial level.

Practical implications:
Positive externalities, associated with efficiency and production, are now possible with human-machine interactions without cost in terms of jobs being lost provided that skills are upgraded commensurate with the challenges posed by the new technological era.

Social implications:
People can benefit from life improvements and elevated standards of living stemming from robotics though optimization of the use of technology.

Originality:
This paper presents original ideas on how Industry 5.0 technologies can be harnessed to buoy sustainable development by striking an optimal balance between human and technological capital.
Research on the impact of digital finance on the innovation performance of enterprises
Authors: Jiang Ziyu , Ma Guojian , Zhu Wenyue 
Published: June 2022

PurposeThe purposes of this paper are to analyze whether digital finance can contribute to enterprises' innovation performance and to determine the mediating effect of government subsidies.Design/methodology/approachThis paper empirically examines the impacts of digital finance on enterprises' innovation performance by looking at Chinese companies listed on the SME and GEM boards from 2011 to 2018 to build an econometric model to test our hypotheses. The mediating effect of government subsidies, the moderating effect of financial constraints are examined, as well as shareholding of the largest shareholders in each selected company and the asset-liability ratio.FindingsThe results show that digital finance has a significant promotional effect on firms' innovation performance and that government subsidies play a partial mediating role in digital finance's contribution to firms' innovation performance. In addition, financial constraints and the shareholding of the largest shareholders in each selected company have a negative moderating effect on the relationship between government subsidies and firms' innovation performance. On the contrary, the asset-liability ratio is found to positively affect the relationship.Originality/valueThere has been limited research to date on the relationship between digital finance and firms' innovation performance, particularly with regard to the extent to which digital finance can influence innovation performance and the mechanisms for doing so. Therefore, it is of great significance to examine the relationship between digital finance and enterprises' innovation performance, which can also provide guidance for both the Chinese government and enterprises.
Develop a situation-based prioritization program as a road map to enhance the pre-resilience in flood management using machine learning methods
Authors: Samadi Samirasadat , Taslimi Mohammad Saeed 
Published: June 2022

Purpose
This study aims to review the features and challenges of the flood relief chain, identifies administrative measures during and after the flood occurrence and prioritizes them using two machine learning (ML) and analytic hierarchy process (AHP) methods. This paper aims to provide a prioritization program based on flood conditions that optimize flood management and improves society’s resilience against flood occurrence.

Design/methodology/approach
The collected database in this paper has been trained by using ML algorithms, including support vector machine (SVM), Naive Bayes (NB) and k-nearest neighbors (kNN), to create a prioritization program. Furthermore, the administrative measures in two phases of during and after the flood are prioritized by using the AHP method and questionnaires completed by experts and relief workers in flood management.

Findings
Among the ML algorithms, the SVM method was selected with 91.37% accuracy. The prioritization program provided by the model, which distinguishes it from other existing models, considers five conditions of the flood occurrence to prioritize actions (season, population affected, area affected, damage to houses and human lives lost). Therefore, the model presents a specific plan for each flood with different occurrence conditions.

Research limitations/implications
The main limitation is the lack of a comprehensive data set to determine the effect of all flood conditions on the prioritization program and the relief activities that have been done in previous flood disasters.

Originality/value
The originality of this paper is the use of ML methods to prioritize administrative measures during and after the flood and presents a prioritization program based on each flood’s conditions. Therefore, through this program, the authority and society can control the adverse impacts of flood more effectively and help to reduce human and financial losses as much as possible.
Work flexibility arrangements for educators: which one is best for whom? Insights from Indonesia
Authors: Linando Jaya Addin , Halim M. , Rasman Rasman , Arifin Azizah Hasna' 
Published: June 2022

PurposeDespite all the complications COVID-19 brought to the education sector, the pandemic has indirectly created various work flexibility arrangements for educators. This paper investigates the impact of different work flexibility arrangements on educators' emotional exhaustion while taking educators' backgrounds (gender, tenure and age) into consideration. This paper explores which work flexibility arrangements fit best for particular educators.Design/methodology/approachThis study employs a quantitative approach to investigate the effect of different work flexibility arrangements (low, medium and high) on educators' emotional exhaustion. In total, 462 educators from various educational levels in Indonesia participated as the respondents.FindingsIn general, the findings suggest that female educators are more prone to experience emotional exhaustion than their male counterparts. This study also finds that educators' age negatively relates to emotional exhaustion, and the longer-tenured educators might not be suitable for highly flexible work arrangements. In addition, different degrees of work flexibility have various impacts on educators, depending on their gender, tenure and age. These results are potentially helpful for educational institutions to design the best work arrangements for educators.Originality/valueIt is crucial for educational administrators to determine how much work flexibility should be given to educators from different backgrounds. This study is among the first to empirically examine the impact of different work flexibilities on educators' well-being.
Sustainability reporting and energy sectorial performance: developed and emerging economies
Authors: Alhawaj Abdulla , Buallay Amina , Abdallah Wael 
Published: June 2022

PurposeThe purpose of this study is to investigate the relationship between the level of sustainability reporting [environmental, social and governance (ESG)] and sectorial energy performance across both developed and emerging economies.Design/methodology/approachUsing data culled from 3,311 observations from 50 different countries over a ten-year period (2008–2017), an ESG-score-derived independent variable is regressed against dependent performance indicator variables (operation ratio, return on equity and Tobin’s Q). Two types of control variables complete the regression analysis in this study: firm-specific and macroeconomic.FindingsThe findings of this study elicited from the empirical results demonstrate that there is a significant relationship between ESG and operational performance (operation ratio). However, there is no significant relationship between ESG and financial performance (return on equity) and market performance (Tobin’s Q). However, the relationship between ESG and operation ratio is stronger in emerging than in developed economies.Originality/valueThe model in this study presents a valuable analytical framework for exploring sustainability reporting as a driver of performance across energy sectors in both developed and emerging economies. In addition, this study highlights energy-sectorial managerial implications contrasting developed, as juxtaposed with, emerging economies.
Central air conditioning, air pollution and housing location: evidence from Lebanon
Authors: Al Gharib Fairouz , Marrouch Walid 
Published: June 2022

Purpose
This study aims to examine the impact of local air pollution on the presence of central air conditioners in apartments in Lebanon.

Design/methodology/approach
This study applies a Probit model in a unique data set on apartments’ listings for sale in Lebanon collected by Marrouch and Sayour (2021). The data set includes information about air pollution concentrations, dwellings’ characteristics, geographic features and location characteristics.

Findings
This study finds that local air pollution positively and significantly affects the presence of central air conditioning in dwellings. The estimated increase in the probability of having central air conditioning for a one microgram per cubic meter increase in Particulate Matter 2.5 concentration is 6.4%.

Research limitations/implications
The data set in this study is cross-sectional and thus does not capture variations over time for the examined variables.

Practical implications
The Probit regression approximates an equation that can predict the presence of central air conditioners in dwellings, which might be useful to policymakers.

Social implications
The findings suggest that local pollution is a significant factor in household behavior in Lebanon.

Originality/value
This paper adds to the scant literature studying the effects of air pollution on the presence of central air conditioning in developing countries. To the best of the authors’ knowledge, this is the first paper to study the impact of air pollution on the presence of central air conditioning in the Middle East and North Africa Region.
Evaluating organizational agility in banking industry through data envelopment analysis: a case study of banks in Isfahan, Iran
Authors: Barati Masoud , Heidari Ehsan , Karimi Ali 
Published: June 2022

Purpose
This study aimed to provide a model for evaluating organizational agility in the banking industry in Isfahan using the data envelopment analysis (DEA) approach.

Design/methodology/approach
This research’s population consists of selected first-class branches of Saderat, Melli, Shahr, Maskan, Keshavarzi, Refah and Tejarat banks. Five branches of each bank and Bank Shahr as a newly established bank with two branches were included in the study. First, a suitable DEA model was selected and then agility inputs and outputs for designing the model were extracted from the literature. The selected model is an output-oriented returns to scale model. Inputs were agility enablers extracted from the A.T. Kearney model, whereas agility results were considered as the output.

Findings
The results showed that of the 32 selected branches, 4 were efficient and 28 were inefficient. In the end, the efficient branches were ranked using the Anderson–Peterson ranking model.

Originality/value
This study tries to provide a model for evaluating the efficiency of bank branches in terms of agility (relative agility) through the DEA technique, considering inputs and outputs of the organizational agility system. Accordingly, the managers can identify the efficiency of bank branches and also they can improve the inefficiency of bank branches.