bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of secondary metabolite gene clusters and chitin biosynthesis pathways of Monascus purpureus with high production of pigment and citrinin based on whole-genome sequencing
Authors: Zhang Song , Zeng Xiaofang , Lin Qinlu , Liu Jun 
Published: February 2022

AbstractMonascus is a filamentous fungus that is commonly used for producing Monascus pigments in the food industry in Southeast Asia. While the development of bioinformatics has helped elucidate the molecular mechanism underlying secondary metabolite biosynthesis of Monascus, the biological information on the metabolic engineering of Monascus morphology remains unclear. In this study, we sequenced the whole genome of Monascus purpureus CSU-M183 strain by using combined single-molecule real-time DNA sequencing and next-generation sequencing platforms. The length of the genome assembly was 23.75 Mb in size with a GC content of 49.13% and 69 genomic contigs and encoded 7305 putative predicted genes. Furthermore, we identified secondary metabolite biosynthetic gene clusters and chitin synthesis pathways in the genome of the high pigment-producing M. purpureus CSU-M183 strain. And we confirmed that atmospheric room temperature plasma induced significant expression of the genes on Monascus pigments and citrinin biosynthetic gene cluster in M. purpureus CSU-M183 by RT-qPCR. These results provide a basis for understanding the secondary metabolite biosynthesis, the regulatory mechanisms of Monascus morphology, disrupting secondary metabolite biosynthesis in submerged fermentation, and the metabolic engineering of Monascus morphology.
High-resolution structural analysis of enterovirus-reactive polyclonal antibodies in complex with whole virions
Authors: Antanasijevic Aleksandar , Schulze Autumn J. , Reddy Vijay S. , Ward Andrew B. 
Published: February 2022

AbstractNon-polio enteroviruses (NPEVs) cause serious illnesses in young children and neonates including aseptic meningitis, encephalitis, neonatal sepsis and inflammatory muscle disease, among others. Over 100 serotypes have been described to date but except for the EV-A71, there are no available vaccines or therapeutics against NPEVs. Efforts towards rationally designed pan-NPEV vaccines would greatly benefit from structural biology methods for rapid and comprehensive evaluation of vaccine candidates and elicited antibody responses. Towards this goal, we tested if electron-microscopy-based polyclonal epitope mapping (EMPEM), a method where structural analysis is performed using serum-derived polyclonal antibodies (pAbs), can be applied to an NPEV. EMPEM was performed on immune complexes featuring CV-A21 viral particles and CV-A21-specific pAbs isolated from mice. Notably, this is the first example of structural analysis of polyclonal immune complexes comprising whole virions. We introduce a data processing workflow that allows reconstruction of different pAbs at near-atomic resolution. The analysis resulted in identification of several antibodies targeting two immunodominant epitopes, near the 3-fold and 5-fold axis of symmetry; the latter overlapping with the receptor binding site. These results demonstrate that EMPEM can be applied to map broad-spectrum polyclonal immune responses against intact virions and define potentially cross-reactive epitopes.
Oo-site: A dashboard to visualize gene expression during Drosophila oogenesis reveals meiotic entry is regulated post-transcriptionally
Authors: Martin Elliot T. , Sarkar Kahini , McCarthy Alicia , Rangan Prashanth 
Published: February 2022

SummaryDetermining how stem cell differentiation is controlled has important implications for understanding the etiology of degenerative disease and designing regenerative therapies. In vivo analyses of stem cell model systems have revealed regulatory paradigms for stem cell self-renewal and differentiation. The germarium of the female Drosophila gonad, which houses both germline and somatic stem cells, is one such model system. Bulk mRNA sequencing (RNA-seq), single-cell (sc) RNA-seq, and bulk translation efficiency of mRNAs are available for stem cells and their differentiating progeny within the Drosophila germarium. However, visualizing those data is hampered by the lack of a tool to spatially map gene expression and translational data in the germarium. Here, we have developed Oo-site (https://www.ranganlab.com/Oo-site), a tool for visualizing bulk RNA-seq, scRNA-seq, and translational efficiency data during different stages of germline differentiation, that makes these data accessible to non-bioinformaticians. Using this tool, we recapitulated previously reported expression patterns of developmentally regulated genes and discovered that meiotic genes, such as those that regulate the synaptonemal complex, are regulated at the level of translation.
Clonal diversification and histogenesis of malignant germ cell tumours
Authors: Oliver Thomas R. W. , Chappell Lia , Sanghvi Rashesh , Deighton Lauren , Ansari-Pour Naser , Dentro Stefan C. , Young Matthew D. , Coorens Tim H. H. , Jung Hyunchul , Butler Tim , Neville Matthew D. C. , Leongamornlert Daniel , Sanders Mathijs , Hooks Yvette , Cagan Alex , Mitchell Thomas J. , Cortes-Ciriano Isidro , Warren Anne Y. , Wedge David C. , Heer Rakesh , Coleman Nicholas , Murray Matthew J. , Campbell Peter J. , Rahbari Raheleh , Behjati Sam 
Published: February 2022

ABSTRACTGerm cell tumours (GCTs) are a collection of benign and malignant neoplasms derived from primordial germ cells. They are uniquely able to recapitulate embryonic and extraembryonic tissues, which carries prognostic and therapeutic significance. The developmental pathways underpinning GCT initiation and histogenesis are incompletely understood. Here, we studied the relationship of histogenesis and clonal diversification in GCTs by analysing the genome and transcriptome of 547 microdissected histological units. We found that the extensive diversification of tissues and genetic subclones were not correlated. However, we identified unifying features including the retention of fetal developmental transcripts across tissues, expression changes on chromosome 12p, and a conserved somatic evolutionary sequence of whole genome duplication followed by clonal diversification. Whilst this pattern was preserved across all GCTs, the developmental timing of the duplication varied between prepubertal and postpubertal cases. In addition, tumours of younger children exhibited distinct substitution signatures, including a novel one, which may lend themselves as potential biomarkers for risk stratification. Our findings portray the extensive diversification of GCT tissues and genetic subclones as randomly distributed, whilst identifying overarching tissue and tumour transcriptional and genomic features.
Sustainable hydroelectric power project planning under socio-economic and environmental concerns using Index based approach
Authors: Roy Neha Chhabra , Roy N.G. 
Published: February 2022

PurposeThis study aims to identify and gauge the sustainability indicators (SUSIs) for sustainable Hydroelectric Power (HEP) project development. It examines major SUSIs under the social, economic and environmental (SEE) fronts and categorizes them under push and pull impacts which helps to identify challenges and opportunities associated with projects. Additionally, the study calculates an empirical sustainability index (SI) to assess the sustainability level of HEP. Finally, the study suggests mitigation measures across stakeholders, which will optimize government/developer/investor investments.Design/methodology/approachThis paper examines the interaction of sustainable HEP development with SUSIs using Uttarakhand as a study area. Additionally, SI has been developed quantitatively. For the indicator classification, the authors conducted a literature review and secondary survey of all affected parties, including investors, developers, NGOs and villagers. The fuzzy logic theory (FLT) is used to determine the SI of the study area and classify projects in their level of sustainability. On the basis of expert opinion and literature review, mitigation measures are proposed across stakeholders.FindingsThe authors found that there is a mixed effect of SUSIs on HEP development across various projects in Uttarakhand. Furthermore, the authors suggest that index-based assessment and planned collaboration play a significant role in sustainable HEP development. Mitigation measures should be suggested to all affected stakeholders based on specific project issues, i.e. collaborations, training, public awareness campaigns, and initiatives by the government that would improve sustainability conditions.Research limitations/implicationsIn addition to supporting the ongoing and upcoming initiatives launched by the Government of India, including the Green Energy Corridor, independent power producers (IPPs); and the India-Renewable Resources Development Project with IDA and participates in Net zero target.Practical implicationsThe structured, sustainable HEP planning suggested in the study will help to conserve society, economy, save resources and in parallel reduce the cost and time of developers and policymakers. This will also help to improve the socioeconomic status of the villagers and prolong the life of the project.Originality/valueThe innovative SI-based push-pull approach identifies a sustainable HEP project planning.
Generalized regression neural network application for fault type detection in distribution transformer windings considering statistical indices
Authors: Behkam Reza , Karami Hossein , Salay Naderi Mehdi , B. Gharehpetian Gevork 
Published: February 2022

Purpose
This study aims to use frequency response analysis, a powerful tool to detect the location and types of transformer winding faults. Proposing an effective intelligent approach for interpreting the frequency responses is the most crucial problem of this method and has created many challenges.

Design/methodology/approach
Heat maps based on appropriate statistical indices have been supplied to depict the variations in the frequency responses associated with each fault type, fault location and fault extent along the windings. Also, after analyzing the results of artificial neural network (ANN) techniques, the generalized regression neural network method is introduced as the most effective solution for the classification of transformer winding faults.

Findings
Using a comparative approach, the performance of the used indices and ANN techniques are evaluated. The results showed the proper performance of Lin’s concordance coefficient (LCC) index and the amplitude (Amp) part of the frequency response. The proposed fitting percentage (FP) index can assist the intelligent classifiers in diagnosing the radial deformation (RD) fault with the highest accuracy considering all frequency response components in the classification procedure of winding faults.

Practical implications
Various ANN techniques are used to detect and determine the type of four important faults of transformer winding, i.e. axial displacement, RD, disc space variation and short circuit. Various statistical indices, such as cross-correlation factor, LCC, standard difference area, sum of errors, normalized root-mean-square deviation and FP, are used to extract the features of the frequency responses to consider as the ANN inputs. In addition, different components of the frequency response, such as Amp, argument, real and imaginary parts are examined in this paper. To implement the proposed procedure, step by step, various types of winding faults with different locations and extents are applied on the 20 kV winding of a 1.6 MVA distribution transformer.

Originality/value
Contributions have been made in identifying and diagnosing transformer winding defects through the use of appropriate algorithms for future research.
Evaluating construction delays using productivity-based resource reallocation for economic feasibility
Authors: Lee Chijoo 
Published: February 2022

PurposeWork crew productivity and the application of limited resources are necessary elements in construction duration delay analysis. This study thus proposes a method to analyze construction delays and resource reallocation based on work crew productivity and resource constraints. The study also presents an economic feasibility analysis that maximizes economic effect by reducing construction duration, the cost of resource reallocation, delay liquidated damages (DLDs) and incentives for reducing contractual duration.Design/methodology/approachThe proposed method involved three steps. First, work crew characteristics such as productivity, unit price and workload helped analyze delay information, including delay duration, reducible duration and daily reduced cost. Next, a goal programming method assessed resource reallocation based on the priority (as determined by decision-makers) of each constraint condition, such as the available number of workers, cost, goal workload and statutory working hours. Lastly, the level of reallocation was analyzed based on the results of the economic feasibility analysis and decision-makers’ delay attitudes.FindingsA case study was performed to test the proposed method's applicability. Its involved sensitivity analysis indicated proposing to decision-makers a scenario based on the prioritization of economic feasibility. The proposed method's applicability proved high for decision-makers, as they can determine whether to reduce construction duration per the proposed data.Originality/valueThe proposed method's main contribution is the reallocation of resources to reduce construction duration based on work crew productivity and the prioritization of limited resources. The proposed method can analyze the differences in productivity between the plan and actual progress, as well as calculate the necessary number of workers. Decision-makers can then reduce the appropriate level of contractual duration based on their own delay attitude, constraint condition prioritization and results from daily economic feasibility analyses.
GMR: grounded at the Maldives international airport
Authors: Singh Harvinder , Aggarwal Rashmi Kumar , Bansal Aakriti 
Published: February 2022

Learning outcomes
The learning outcome of this paper is to understand the geopolitical aspects of international business. Assessing the political risk inherent in international investment projects. Maintaining a favorable corporate image in the host country despite apparent hostilities. Analyzing the risks associated with doing business in an emerging market.

Case overview/synopsis
In February 2019, local newspapers in the Maldives published unconfirmed reports that the Indian company GMR was reinvesting in the Maldives. GMR had secured a contract in 2010 for renovation/expansion of The Maldives International Airport. However, the contract created political turmoil, with opposition parties objecting to some clauses. People considered GMR closer to the incumbent President, Mohammed Nasheed. The unstable political scenario forced President Nasheed to resign amidst allegations of corruption. The new President showed hostility toward India and GMR while making overtures to China. He canceled the airport contract and awarded it to a Chinese company. GMR went to the international Tribunal in Singapore. The tribunal upheld the Maldivian government’s right to terminate the agreement but awarded GMR a compensation of US$270m. In 2019, a new government came to power in the Maldives, with Mohammed Nasheed enjoying a commanding position. The government pledged to accept the judgment of the Singapore International Tribunal. The local media discussed the possibility of the return of GMR to the Maldives after seeing some senior GMR officials in the Maldives. However, it was not clear whether it would be a good idea for GMR.

Complexity academic level
Master's level program.

Supplementary materials
Teaching notes are available for educators only.

Subject code
CCS 11: Strategy.
Design and modeling of an on-site greywater treatment system for a hotel building
Authors: Kobeyev Sultan , Tokbolat Serik , Nazipov Farnush , Satyanaga Alfrendo 
Published: February 2022

PurposeAs the United States is making a significant move toward rejoining the Paris Agreement on climate change, there is a high demand for sustainable solutions across various industries, including construction and hospitality sectors. The aim of this project was to design and model an on-site greywater treatment system for a hotel building for the effective reuse of sewage water. The study considered Los Angeles, California, as a case study location and referred to respective climate conditions and construction standards.Design/methodology/approachThis study considered various options of greywater treatment plants such as membrane bioreactor (MBR), sequencing batch reactor and reverse osmosis with upflow anaerobic sludge blanket which were carefully reviewed and modeled using the GPS-X software. The design and modeling results were verified by hand calculations and were followed by the estimation of capital and operational expenses required for the implementation of the plants.FindingsHaving relatively low capital and operational expenditure requirements as well as superior technical performance, the MBR plant proved to be the most effective solution for the considered location and standards and was recommended for use in hotel buildings.Practical implicationsDesigning and modeling several greywater treatment plants allowed selecting the most optimal option which in the long run will help to preserve the eco-system, stay compliant with the government laws and regulations and be financially sustainable.Originality/valueThe outcomes of the present study provide a detailed procedure for designing and modeling a greywater treatment plant for a hotel building that can be used for the localities with a similar climate. The most effective option selected as a result of cost-benefit analysis provides an efficient and viable solution for the relevant industry and the type of buildings.
Toward improved performance of reactive dyeing on cotton fabric using process sensitivity analysis
Authors: Zhang Ping , Zhu Wenju , Hossain Md. Yousuf , Sarker Shamima , Pervez Md. Nahid , Mondal Md. Ibrahim H. , Yan Chao , Cai Yingjie , Naddeo Vincenzo 
Published: February 2022

PurposeThe conventional textile dyeing process requires various operational characteristics, and determining the most reliable factor in dyeing performance has always been a challenge for the textile industry. Thus, the present paper aimed to evaluate the process sensitivity of C. I. Reactive Blue 194 dyeing of cotton fabric using a statistical technique.Design/methodology/approach An L27 orthogonal array-based Taguchi's methodology was used with six parameters and three levels of each parameter. The signal-to-noise (S/N) ratio and analysis of variance were studied using total fixation efficiency (T%) as the response of the process sensitivity.Findings Results showed that dyebath pH was the most influential factor on the process and total fixation efficiency (p-value = 0.00 and contribution percentage 45.03%), followed by dye-fixing temperature, dye mass, electrolyte concentration, dye-fixing time and material to liquor ratio.Originality/value Overall this study provides a foundation for the determination of dyeing process sensitivity that will be useful in textile industries toward further development.
Enabler toward successful implementation of Quality 4.0 in digital transformation era: a comprehensive review and future research agenda
Authors: Thekkoote Ramadas 
Published: February 2022

PurposeQuality 4.0 (Q4.0) is related to quality management in the era of Industry 4.0 (I4.0). In particular, it concentrates on digital techniques used to improve organizational capabilities and ensure the delivery of the best quality products and services to its customer. The aim of this research to examine the vital elements for the Q4.0 implementation.Design/methodology/approachA review of the literature was carried out to analyze past studies in this emerging research field.FindingsThis research identified ten factors that contribute to the successful implementation of Q4.0. The key factors are (1) data, (2) analytics, (3) connectivity, (4) collaboration, (5) development of APP, (6) scalability, (7) compliance, (8) organization culture, (9) leadership and (10) training for Q4.0.Originality/valueAs a result of the research, a new understanding of factors of successful implementation of Q4.0 in the digital transformation era can assist firms in developing new ways to implement Q4.0.
The impact of zakat in poverty alleviation and income inequality reduction from the perspective of gender in West Java, Indonesia
Authors: Ayuniyyah Qurroh , Pramanik Ataul Huq , Md Saad Norma , Ariffin Muhammad Irwan 
Published: February 2022

Purpose
This study aims to analyse the role of zakat in poverty alleviation and income inequality reduction based on the gender of zakat recipients.

Design/methodology/approach
This study used the Centre of Islamic Economic and Business Studies (CIBEST) model as a poverty measure and the Gini coefficient and Atkinson index as income inequality measures to analyse 1,300 zakat recipients in five different areas of West Java, Indonesia.

Findings
Based on the CIBEST model, zakat distribution programmes have better salutary effects on male-headed households in terms of material (0.215) and absolute (0.037) poverty indices, whereas female-headed households have better performance on the falah (0.438) and spiritual (0.022) poverty indices, with greater changes in these indices in female-headed households. According to the Gini coefficient and Atkinson index, female-headed households have better income distribution one-year after zakat distribution programmes, whereas the male-headed households have better performance in regards to welfare loss.

Research limitations/implications
The present study only used the poverty line standard published by the Central Board of Statistics from the Republic of Indonesia to identify respondents who live under the poverty line.

Practical implications
This paper can serve as a reference for zakat institutions in the implementation of zakat distribution programmes when the gender of zakat recipients is taken into consideration.

Originality/value
Not many studies have analysed the impact of gender in zakat distribution programmes despite gender being one of the most important determinants of poverty and income inequality. This study attempts to determine the economic impact of zakat from the perspective of gender.