bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improvement of Gene Delivery and Mutation Efficiency in the CRISPR-Cas9 Wheat (Triticum aestivum L.) Genomics System via Biolistics
Authors: Tanaka Jaclyn , Minkenberg Bastian , Poddar Snigdha , Staskawicz Brian , Cho Myeong-Je 
Published: April 2022

AbstractDiscovery of the CRISPR-Cas9 gene editing system revolutionized the field of plant genomics. Despite advantages in ease of designing gRNA and the low cost of the CRISPR-Cas9 system, there are still hurdles to overcome in low mutation efficiencies, specifically in hexaploid wheat. In conjunction with gene delivery and transformation frequency, the mutation rate bottleneck has the potential to slow down advancements in genomic editing of wheat. In this study, nine bombardment parameter combinations using three gold particle sizes and three rupture disk pressures were tested to establish optimal stable transformation frequencies in wheat. Utilizing the best transformation protocol and a knockout cassette of the phytoene desaturase gene, we subjected transformed embryos to four temperature treatments and compared mutation efficiencies. The use of 0.6 μm gold particles for bombardment increased transformation frequencies across all delivery pressures. A heat treatment of 34°C for 24 hours resulted in the highest mutation efficiency with no or minimal reduction in transformation frequency. The 34°C treatment produced two M0 mutant events with albino phenotypes, requiring biallelic mutations in all three genomes of hexaploid wheat. Utilizing optimal transformation and heat treatment parameters greatly increases mutation efficiency and can help advance research efforts in wheat genomics.
The impact of foreign direct investment (FDI) on renewable and non-renewable energy in Bangladesh: does the global climate change emergencies required?
Authors: Elheddad Mohamed , Alfar Abdelrahman J.K. , Haloub Radi , Sharma Neetu , Gomes Patrick 
Published: April 2022

PurposeThe purpose of this study is to identify the effects of MNCs measured by the foreign direct investment (FDI) inflows on the promotion of renewable energy consumption and non-renewable energy in Bangladesh. It is an emergency issue these days and makes some policy suggestions.Design/methodology/approachBased on the literature review, the study sets a time series models to empirically test FDI degrades the environmental quality in Bangladesh, using the parametric (GMM, IV estimations) and non-parametric approaches (quantile regression).FindingsThe main findings drawn from the empirical analysis are as follows. First, the FDI inflows lead to more CO2 emissions in the Bangladeshi economy. In other words, the MNCs promote the usages of non-renewable energy which causes an increase in pollution. Second, the FDI inwards discourage renewable energy consumption and in terms of magnitude, the negative impacts of FDI on renewable energy are higher than the positive effect of FDI on CO2 emissions. This makes the situation worse.Research limitations/implicationsThis study is limited to Bangladesh and explores the total impact of FDI on the environment. For further investigation, it would be better to do a detailed investigation on the FDI-renewable and nonrenewable energy relationship. For instance, one could test which type of FDI promotes green energy consumption and which one is dirtier. So, the sectorial FDI effects on pollution.Originality/valueMost past studies parametric techniques and did not compare the effects of FDI on renewable and non-renewable energy consumption, Unlike the previous empirical studies, this paper uses GMM and IV estimations for the parametric approach and quantile regression (QR) as a robustness check. Also, it is the first study that approves the crowding-out effect of non-renewable using the FDI channel.
Supportive culture and job involvement in public sector: the mediating role of participation in decision making and organizational learning
Authors: Saraf Pavan Kumar , Saha Shilpi , Anand Amitabh 
Published: April 2022

PurposeThe purpose of this study is to determine whether participation in decision-making (PDM) and organizational learning (OL) act as mediating factors in the relationship between supportive culture and job involvement.Design/methodology/approachData were collected from 712 employees working in different public sector undertakings (PSUs) across India. Necessary condition analysis (NCA) analysis and partial least square (PLS) analysis were used to test the proposed hypotheses.FindingsThe findings of the present study indicated that PDM and OL act as a full mediator respectively in the relationship between supportive culture (SC) and job involvement (JI). The SC was positively and significantly related to PDM and OL. However, SL did not have a significant impact on JI. In addition, higher PDM and OL were found to be significantly impacting JI.Practical implicationsThe results suggest that PDM and OL facilitate the impact of SC on JI and may help organizations to retain their employees. The implications of these findings for all hierarchical levels in PSUs are discussed.Originality/valueOL and PDM as mediators between SC and JI have received very little attention from the context of India. The results add to the growing literature of culture from a non-western context as this study is based on Indian samples. This study has taken care to provide unbiased responses by utilizing data from employees working in various functional units of the organizations.
The interplay between supervisor support and job performance: implications of social exchange and social learning theories
Authors: Zeb Ali , Goh Gerald Guan Gan , Javaid Mudaser , Khan Muhammad Nawaz , Khan Atta Ullah , Gul Shehnaz 
Published: April 2022

PurposeSocial exchange theory and social learning theory are widely employed in many disciplines but there is little application on the intention to leave and job performance among academic staff. Therefore, this study intends to examine the relationships among supervisor support, intention to leave and job performance along with mediating role of self-confidence in a developing context.Design/methodology/approachData were collected through questionnaires from the academic staff of private Pakistani universities. The model was tested using data collected from 295 respondents by using structural equation modeling (SEM) technique.FindingsThe results revealed that supervisor support influenced job performance positively through the mediating role of self-confidence. Conversely, supervisor support influenced intention to leave negatively through the mediating role of self-confidence. In addition, the results also showed the direct effect of supervisor support on employees' job performance and intention to leave.Practical implicationsThe results of this study suggest that the supervisor must provide adequate support to the academic staff, which helps them to develop their self-confidence. In addition, self-confidence is helpful for the employees to improve their job performance and reduce their intention to leave.Originality/valueThe study contributes to theory building in the area of supervisor support by enriching the understanding of the processes carrying the effect of supervisor support on desirable workplace outcomes. In addition, the study also explicates the less understood nature of relationship between supervisor support, job performance, and intention to leave through the mediating role of self-confidence in the Pakistani context.
Strategic human resource practices and new product development performance: the mediating role of intellectual capital
Authors: Ghlichlee Behrooz , Goodarzi Amirhossein 
Published: April 2022

PurposeThe paper investigates the effects of strategic human resource practices on intellectual capital and new product development performance in knowledge-based firms.Design/methodology/approachA quantitative approach was adopted to conduct the present study. The respondents were sampled from knowledge-based firms in Iran. Overall, 120 managers in 60 knowledge-based firms were selected using convenience sampling. A confirmatory factor analysis was conducted to ascertain the validity and reliability of the observed items, and a structural equation model was employed for testing the proposed hypotheses.FindingsIn the studied firms, strategic human resource practices have a positive and significant effect on intellectual capital. Moreover, the findings of this study indicate that those firms that use their intellectual capital have a higher new product development performance.Research limitations/implicationsThe study focuses on knowledge-based firms in Iran, which limits the generalizability of the research results. Therefore, future studies should be carried out with samples from other settings and countries. Moreover, as the study was cross-sectional, the causal relationships could not be inferred directly.Practical implicationsWith regard to key areas of improvement identified in this study, knowledge-based firms should focus on increasing new product development performance by improving employees' training, involving them in their job-related decision-making process, empowering employees to innovate, developing intellectual capital and monitoring the customer's satisfaction level of new products.Originality/valueThe study extends the intellectual capital literature by linking strategic human resource practices to new product development performance in knowledge-based firms via intellectual capital as a mediator.
Organizational structure in family firms: a systematic literature review
Authors: Ahmad Tipu Syed Awais 
Published: April 2022

PurposeThis paper provides a review of the academic literature on organizational structure (OS) in family firms, highlighting the contribution to knowledge and identifying research gaps and possible avenues for future research.Design/methodology/approachDifferent databases were used to search the relevant literature on OS in family firms, including Scopus, ABI/Inform Global, Business Source Complete, and Emerald Insight. The systematic literature review presents an analysis of 52 studies on OS in family firms.FindingsThe literature largely reveals inconsistent findings in terms of the characteristics and outcomes of OS in family firms. The majority of the studies (21) are either survey-based or employ a case study approach (18), with relatively fewer studies (8) being conceptual in nature. A large number of the studies (34) were conducted in developed countries, whereas only nine were undertaken in developing countries. Moreover, 23 studies examine characteristics of OS, 23 studies explore the outcomes, while 15 investigate the antecedents of OS in family firms. The characteristics of OS in family firms relate to the degree of centralization and formalization. The antecedents or factors affecting OS in family firms include cultural values, family influence, need for succession, and ownership and management changes. The positive outcomes of OS include legacy building, enhancing entrepreneurial orientation, and efficiency. The negative outcomes of OS include exploitation of fewer opportunities, maintaining the status quo, and adverse effects on sustainability initiatives.Originality/valueExisting reviews generally explore the highest level of OS in family firms. The current review complements this debate and reviews OS in family firms from the perspective of the lower and operational levels. As such, the current review is both timely and relevant, as it identifies limitations of the available literature as well as suggests avenues for future research.
Market power and efficiency of Indian banks: does the “quiet life” hypothesis hold?
Authors: Coccorese Paolo , Misra Biswa Swarup 
Published: April 2022

PurposeThis paper investigates the relationship between market power and efficiency for Indian banks in order to test the validity of the quiet life hypothesis (QLH) during 2005–2019.Design/methodology/approachFirst, the bank-level DEA efficiency scores and three measures of the Lerner index: traditional, efficiency-adjusted, stochastic are estimated. Then, efficiency scores are regressed on Lerner indices plus a set of banking and economic control variables.FindingsRobust evidence against the QLH is obtained. Moreover, the conventional Lerner index suggests that market power of Indian banks, as well as of the different bank groups, increased during the study period, due to a greater reduction in costs compared to that of the price of banking services. The efficiency scores also declined for the banking system as a whole, and for all bank groups except new private banks.Originality/valueThis is the first study testing the QLH for the different categories of Indian banks and also provides robust inferences by using both stochastic and non-stochastic measures of market power.
Hybridized neural network for upper limb movement detection using EEG signals
Authors: Sagar G.V.R. 
Published: April 2022

Purpose
This paper aims to propose a new upper limb movement classification with two phases like pre-processing and classification. Investigation of human limb movements is a significant topic in biomedical engineering, particularly for treating patients. Usually, the limb movement is examined by analyzing the signals that occurred by the movements. However, only few attempts were made to explore the correlations among the movements that are recognized by the human brain.

Design/methodology/approach
The initial process is the pre-processing that is performed for detecting and removing noisy channels. The artifacts are marked by band-pass filtering that discovers the values below and above thresholds of 200 and –200 µV, correspondingly. It also discovers the trials with unusual joint probabilities, and the trials with unusual kurtosis are also determined using this method. After this, the pre-processed signals are subjected to a classification process, where the neural network (NN) model is used. The model finally classifies six movements like “elbow extension, elbow flexion, forearm pronation, forearm supination, hand open, and hand close,” respectively. To make the classification more accurate, this paper intends to optimize the weights of NN by a new hybrid algorithm known as bypass integrated jaya algorithm (BI-JA) that hybrids the concept of rider optimization algorithm (ROA) and JA. Finally, the performance of the proposed model is proved over other conventional models concerning certain measures like accuracy, sensitivity, specificity, and precision, false positive rate, false negative rate, false discovery rate, F1-score and Matthews correlation coefficient.

Findings
From the analysis, the adopted BI-JA-NN model in terms of accuracy was high at 80th population size was 7.85%, 3.66%, 7.53%, 2.09% and 0.52% better than Levenberg–Marquardt (LM)-NN, firefly (FF)-NN, JA-NN, whale optimization algorithm (WOA)-NN and ROA-NN algorithms. On considering sensitivity, the proposed method was 2%, 0.2%, 5.01%, 0.29% and 0.3% better than LM-NN, FF-NN, JA-NN, WOA-NN and ROA-NN algorithms at 50th population size. Also, the specificity of the implemented BI-JA-NN model at 80th population size was 7.47%, 4%, 7.05%, 2.1% and 0.5% better than LM-NN, FF-NN, JA-NN, WOA-NN and ROA-NN algorithms. Thus, the betterment of the presented scheme was proved.

Originality/value
This paper adopts the latest optimization algorithm called BI-JA to introduce a new upper limb movement classification with two phases like pre-processing and classification. This is the first work that uses BI-JA based optimization for improving the upper limb movement detection using electroencephalography signals.
Antecedents and consequences of group cognitive complexity: a conceptual review
Authors: Coman Andra , Fodor Oana C. 
Published: April 2022

Purpose
The purpose of this paper is to examine the literature on the antecedents and consequences of group cognitive complexity (GCC) and integrate the empirical work by using the composition/compilation framework of emergence and the input-mediator-output-input (I-M-O-I) model of team effectiveness.

Design/methodology/approach
Through a systematic search in extant databases, the authors found 27 empirical studies exploring the antecedents and consequences of GCC.

Findings
The extant literature is dominated by a compilational approach on GCC, experimental designs and a focus on exploring the antecedents of GCC (group composition and processes mostly), thus providing useful insights for organizational interventions. The work on the implications of GCC for individual or organizational level outcomes is however scant. Future endeavors could rely more on a multilevel exploration of GCC, take a developmental rather than a one-shot approach and explore the impact of new ways of working on the emergence of GCC.

Originality/value
The authors propose an integration of extant empirical work on GCC by using two complementary frameworks: the I-M-O-I model and the composition/compilation framework. The authors highlight the implications for practice and draw future research directions.
A critical review of implementing lean and simulation to improve resource utilization and patient experience in outpatient clinics
Authors: Al-Kaf Abdulqader , Jayaraman Raja , Demirli Kudret , Simsekler Mecit Can Emre , Ghalib Hussam , Quraini Dima , Tuzcu Murat 
Published: April 2022

PurposeThe purpose of this paper is to explore and critically review the existing literature on applications of Lean Methodology (LM) and Discrete-Event Simulation (DES) to improve resource utilization and patient experience in outpatient clinics. In doing, it is aimed to identify how to implement LM in outpatient clinics and discuss the advantages of integrating both lean and simulation tools towards achieving the desired outpatient clinics outcomes.Design/methodology/approachA theoretical background of LM and DES to define a proper implementation approach is developed. The search strategy of available literature on LM and DES used to improve outpatient clinic operations is discussed. Bibliometric analysis to identify patterns in the literature including trends, associated frameworks, DES software used, and objective and solutions implemented are presented. Next, an analysis of the identified work offering critical insights to improve the implementation of LM and DES in outpatient clinics is presented.FindingsCritical analysis of the literature on LM and DES reveals three main obstacles hindering the successful implementation of LM and DES. To address the obstacles, a framework that integrates DES with LM has been recommended and proposed. The paper provides an example of such a framework and identifies the role of LM and DES towards improving the performance of their implementation in outpatient clinics.Originality/valueThis study provides a critical review and analysis of the existing implementation of LM and DES. The current roadblocks hindering LM and DES from achieving their expected potential has been identified. In addition, this study demonstrates how LM with DES combined to achieve the desired outpatient clinic objectives.
Photodegradation of plant litter cuticles enhances microbial decomposition by increasing uptake of non‐rainfall moisture
Authors: Logan J. Robert , Barnes Paul , Evans Sarah E. 
Published: April 2022

Abstract

Litter decomposition plays a central role in carbon cycling in terrestrial ecosystems worldwide. In drylands, which cover 40% of the Earth's land surface, photodegradation and biotic decomposition driven by non‐rainfall moisture are important mechanisms of litter decay, though studies have only recently begun examining interactions between these two processes. We describe a novel priming mechanism in which photodegradation and biotic decay of the cuticle of plant litter increase litter absorption of non‐rainfall moisture (fog, dew and water vapor), supporting greater microbial decomposition.

We used several field experiments in a coastal fog desert and a series of in situ observations to demonstrate a relationship between solar radiation, cuticle integrity, water absorption rates and mass loss.

Experimentally attenuating solar radiation for 36 months slowed mass loss, reduced cuticle degradation and decreased litter moisture uptake relative to litter under ambient sunlight controls. In a separate field experiment, removing the cuticle of recently senesced grass tillers increased mass loss fourfold over 6 months relative to controls. Tillers with degraded cuticles also absorbed 3.8 times more water following an overnight dew event than did those with intact cuticles. Finally, fungal growth was consistently greater on the sun‐facing side of in situ tillers than on the shaded side, coincident with greater cuticle degradation.

We present a conceptual model where the cuticle of plant litter acts as a water‐resistant barrier that is first degraded by solar radiation and surficial microbes, increasing litter's ability to absorb enough water during non‐rainfall moisture events to support substantial biotic decomposition inside the tissue. Considering how photodegradation and non‐rainfall moisture are both substantial drivers of litter decomposition in drylands, understanding how they interact under realistic field conditions will help us better predict how these systems are responding to changing climate regimes.

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Yeast and fruit fly mutual niche construction and antagonism against mould
Authors: Chakraborty Amrita , Mori Boyd , Rehermann Guillermo , Hernández Garcia Armando , Lemmen‐Lechelt Joelle , Hagman Arne , Khalil Sammar , Håkansson Sebastian , Witzgall Peter , Becher Paul G. 
Published: April 2022

Abstract

A goal in insect–microbe ecology is to understand the mechanisms regulating species associations and mutualistic interactions.

The spotted wing drosophila Drosophila suzukii develops in ripening fruit, unlike other drosophilids that typically feed on overripe fruit, and is associated with the yeast Hanseniaspora uvarum.

We hypothesized that D. suzukii and H. uvarum engage in niche construction leading to a mutualistic relation, facilitating the exploitation of fruit and berries as larval substrate.

We show that H. uvarum proliferates on both ripe and on unripe raspberries, mediates attraction of D. suzukii larvae and adult flies, enhances egg‐laying in mated females and is a sufficient food substrate to support larval development. Moreover, H. uvarum suppresses the antagonistic grey mould, Botrytis cinerea in collaboration with D. suzukii larvae, and produces less ethanol than baker's yeast. H. uvarum thus creates favourable conditions for D. suzukii larval development, which is susceptible to ethanol and grey mould.

D. suzukii, on the other hand, vectors H. uvarum to suitable substrates such as raspberries, where larval feeding activity enhances growth of H. uvarum. Larval feeding also helps to suppress B. cinerea, which otherwise outcompetes H. uvarum on raspberry, in the absence of fly larvae.

In conclusion, H. uvarum enhances D. suzukii larval development on unripe berries, and D. suzukii promotes H. uvarum dispersal and growth on berries. Yeast and fly modify their shared habitat in reciprocal niche construction and mutual interaction.

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