bluuebunny/crossref_metadata_2025_split huggingface dataset:
Media Selection and Fed-Batch Fermentation Strategy for dsRNA Plasmid Production inEscherichia coliGT115
Authors: Pancoro Adi , Taufik Intan , Wijayana Sena 
Published: March 2023

AbstractApplication of plasmid encoding synthetic dsRNA targeted IMNV genome (Infectious Myonecrosis Virus) can reduce viral replication in the shrimp industry by activating RNA interference (RNAi) response. Application of dsRNA plasmid as antiviral for IMNV in shrimp-farm need a huge quantity of plasmid. Bioreactor can be used for large-scale plasmid production to achieve high plasmid yield. Plasmid production in the bioreactor can be improved by selection of the host organism, the recombinant plasmid vector, the fermentation media, and the fermentation strategy. This research aim is to determine the fermentation media and fermentation strategy to produce recombinant dsRNA plasmid with high plasmid yield. Selection of fermentation media was conducted in a baffled flask with three different media. Then, the optimum media was used for optimization in bioreactor production with the addition of feeding media. As a result, plasmid production in TB media has a higher biomass growth rate and plasmid production rate than production in M9+Mod and LB+ media. Plasmid production in TB media in baffled-flask resulted in plasmid yield in 2.318 mg/L, 14-fold higher than M9+Mod (0.165 mg/L), and 34-fold higher than LB (0.068 mg/L). In bioreactor production, plasmid production in fed-batch fermentation in bioreactor resulted plasmid yield in 1.018 mg/L, 5-fold higher than batch fermentation (1.882 mg/L). Plasmid was confirmed in agarose gel electrophoresis at ∼5750 bp and insert gene at 700 bp. The cultivation technique developed should be workable for the pilot scale. Downstream processing in plasmid production should be able to achieve plasmid with high concentration and purity.
MAPTexpression is mediated by long-range interactions withcis-regulatory elements
Authors: Rogers Brianne B. , Anderson Ashlyn G. , Lauzon Shelby N. , Davis M. Natalie , Hauser Rebecca M. , Roberts Sydney C. , Rodriguez-Nunez Ivan , Trausch-Lowther Katie , Barinaga Erin A. , Taylor Jared W. , Mackiewicz Mark , Roberts Brian S. , Cooper Sara J. , Rizzardi Lindsay F. , Myers Richard M. , Cochran J. Nicholas 
Published: March 2023

ABSTRACTBackgroundTauopathies are a group of neurodegenerative diseases driven by abnormal aggregates of tau, a microtubule associated protein encoded by theMAPTgene.MAPTexpression is absent in neural progenitor cells (NPCs) and increases during differentiation. This temporally dynamic expression pattern suggests thatMAPTexpression is controlled by transcription factors and cis-regulatory elements specific to differentiated cell types. Given the relevance ofMAPTexpression to neurodegeneration pathogenesis, identification of such elements is relevant to understanding genetic risk factors.MethodsWe performed HiC, chromatin conformation capture (Capture-C), single-nucleus multiomics (RNA-seq+ATAC-seq), bulk ATAC-seq, and ChIP-seq for H3K27Ac and CTCF in NPCs and neurons differentiated from human iPSC cultures. We nominated candidate cis-regulatory elements (cCREs) forMAPTin human NPCs, differentiated neurons, and pure cultures of inhibitory and excitatory neurons. We then assayed these cCREs using luciferase assays and CRISPR interference (CRISPRi) experiments to measure their effects onMAPTexpression. Finally, we integrated cCRE annotations into an analysis of genetic variation in AD cases and controls.ResultsUsing orthogonal genomics approaches, we nominated 94 cCREs forMAPT, including the identification of cCREs specifically active in differentiated neurons. Eleven regions enhanced reporter gene transcription in luciferase assays. Using CRISPRi, 5 of the 94 regions tested were identified as necessary forMAPTexpression as measured by RT-qPCR and RNA-seq. Rare and predicted damaging genetic variation in both nominated and confirmed CREs was depleted in AD cases relative to controls (OR = 0.40, p = 0.004), consistent with the hypothesis that variants that disruptMAPTenhancer activity, and thereby reduceMAPTexpression, may be protective against neurodegenerative disease.ConclusionsWe identified both proximal and distal regulatory elements forMAPTand confirmed the regulatory function for several regions, including three regions centromeric toMAPTbeyond the well-described H1/H2 haplotype inversion breakpoint. This study provides compelling evidence for pursuing detailed knowledge of CREs for genes of interest to permit better understanding of disease risk.
Smart self-propelled particles: a framework to investigate the cognitive bases of movement
Authors: Lecheval Valentin , Mann Richard P. 
Published: March 2023

AbstractDecision-making and movement of single animals or group of animals are often treated and investigated as separate processes. However, many decisions are taken while moving in a given space. In other words, both processes are optimised at the same time and optimal decision-making processes are only understood in the light of movement constraints. To fully understand the rational of decisions embedded in an environment (and therefore the underlying evolutionary processes), it is instrumental to develop theories of spatial decision-making. Here, we present a framework specifically developed to address this issue by the means of artificial neural networks and genetic algorithms. Specifically, we investigate a simple task in which single agents need to learn to explore their square arena without leaving its boundaries. We show that agents evolve by developing increasingly optimal strategies to solve a spatially-embedded learning task while not having an initial arbitrary model of movements. The process allows the agents to learn how to move (i.e. by avoiding the arena walls) in order to make increasingly optimal decisions (improving their exploration of the arena). Ultimately, this framework makes predictions of possibly optimal behavioural strategies for tasks combining learning and movement.
Identifying the proximate mechanisms that generate variation in nutritional plasticity for fecundity inDrosophila melanogaster
Authors: Alves André N. , Chakraborty Avishikta , Wansbrough Mia , Walter Greg M. , Piper Matthew D. W. , Sgrò Carla M. , Mirth Christen K. 
Published: March 2023

AbstractNutrition is an important determinant of an animal’s survival and fitness. Phenotypic plasticity allows a genotype to adjust life history traits to changes in its nutritional environment, and it varies among individuals. The origin of this variation comes from differences in proximate mechanisms regulating trait expression. To understand how variation in plasticity is achieved, we made use of aDrosophila melanogasterisogenic panel to characterize nutritional plasticity for fecundity by feeding flies diets differing in their yeast content and counting the number of eggs produced. We then identified lines with the highest and lowest plastic responses to diet, and dissected the potential proximate mechanisms responsible for these differences in plasticity, including morphology, behaviour, and physiology. Our results suggest that variation in plasticity is not due to differences in ovariole number, but due to both increased food intake, and higher efficiency at converting food into eggs. Our results show that, in this population ofD. melanogaster, variation in behaviour and physiology, but not morphology, underlies differences in plasticity for fecundity. Further, they set the stage for future studies aiming to understand how the proximate mechanisms that generate genetic variation in plasticity contribute to a population’s persistence when faced with environmental changes.
Implementation of risk management and corporate sustainability in the Canadian oil and gas industry
Authors: Jagoda Kalinga , Wojcik Patrick 
Published: March 2023

Purpose
With the increasingly complex global environment companies are facing increased regulations. Financial and social risks are often overlooked but the key in establishing the necessary framework for risk management. Under pressure(s) from the media, public and government, the current companies within the oil and gas fields have taken precautionary steps to reduce their carbon footprint and have allowed technological innovations to take a proactive role in maintaining efficiency and sustainability. The purpose of this paper is to propose a framework outlining how organizations are implementing risk assessment and analysis to determine sustainable operations and methods in developing low-risk outcomes.

Design/methodology/approach
The authors used a case study approach to develop and illustrate the risk management framework.

Findings
This study provides a theoretical framework for analyzing and reducing risk within the oil and gas sector through explaining various means of innovation and sustainability. Risk integration and mitigation are modeled and quantified within an evolutionary framework. The case study illustrates the risk management techniques currently used in a corporate setting.

Originality/value
Using innovation and sustainable technologies, organizations can take a proactive role in reducing risk in the oil and gas industry in northern Alberta. Providing shareholders with an innovative framework dealing with strategic implications to reduce risk in compliance with operational costs.
Critical analysis for big data studies in construction: significant gaps in knowledge
Authors: Madanayake Upeksha Hansini , Egbu Charles 
Published: March 2023

Purpose
The purpose of this paper is to identify the gaps and potential future research avenues in the big data research specifically in the construction industry.

Design/methodology/approach
The paper adopts systematic literature review (SLR) approach to observe and understand trends and extant patterns/themes in the big data analytics (BDA) research area particularly in construction-specific literature.

Findings
A significant rise in construction big data research is identified with an increasing trend in number of yearly articles. The main themes discussed were big data as a concept, big data analytical methods/techniques, big data opportunities – challenges and big data application. The paper emphasises “the implication of big data in to overall sustainability” as a gap that needs to be addressed. These implications are categorised as social, economic and environmental aspects.

Research limitations/implications
The SLR is carried out for construction technology and management research for the time period of 2007–2017 in Scopus and emerald databases only.

Practical implications
The paper enables practitioners to explore the key themes discussed around big data research as well as the practical applicability of big data techniques. The advances in existing big data research inform practitioners the current social, economic and environmental implications of big data which would ultimately help them to incorporate into their strategies to pursue competitive advantage. Identification of knowledge gaps helps keep the academic research move forward for a continuously evolving body of knowledge. The suggested new research avenues will inform future researchers for potential trending and untouched areas for research.

Social implications
Identification of knowledge gaps helps keep the academic research move forward for continuous improvement while learning. The continuously evolving body of knowledge is an asset to the society in terms of revealing the truth about emerging technologies.

Originality/value
There is currently no comprehensive review that addresses social, economic and environmental implications of big data in construction literature. Through this paper, these gaps are identified and filled in an understandable way. This paper establishes these gaps as key issues to consider for the continuous future improvement of big data research in the context of the construction industry.
Stochastic natural frequency analysis of skewed sandwich plates
Authors: Kumar R.R. , Karsh P.K. , Vaishali Vaishali , Pandey K.M. , Dey S. 
Published: March 2023

PurposeThe purpose of this paper is to investigate the first three stochastic natural frequencies of skewed sandwich plates, considering uncertain system parameters. To conduct the sensitivity analysis for checking the criticality of input parameters.Design/methodology/approachThe theoretical formulation is developed based on higher-order-zigzag theory in accordance with the radial basis function (RBF) and stochastic finite element (FE) model. A cubic function is considered for in-plane displacement over thickness while a quadratic function is considered for transverse displacement within the core and remains constant in the facesheet. RBF is used as a surrogate model to achieve computational efficiency and accuracy. In the present study, the individual and combined effect of ply-orientation angle, skew angle, number of lamina, core thickness and material properties are considered for natural frequency analysis of sandwich plates.FindingsResults presented in this paper illustrates that the skewness in the sandwich plate significantly affects the global dynamic behaviour of the structure. RBF surrogate model coupled with stochastic FE approach significantly reduced the computational time (more than 1/18 times) compared to direct Monte Carlo simulation approach.Originality/valueThe stochastic results for dynamic stability of sandwich plates show that the inevitable source uncertainties present in the input parameters result in significant variation from the deterministic value demonstrates the need for inclusive design paradigm considering stochastic effects. The present paper comprehensively establishes a generalized new RBF-based FE approach for efficient stochastic analysis, which can be applicable to other complex structures too.
Literacy educators’ practices of solidarity within an educational network
Authors: Rogers Rebecca 
Published: March 2023

Purpose
This paper aims to share findings from an interview study with literacy educators who are working together to imagine and build a transformative, humanizing and expansive education.

Design/methodology/approach
Appreciative inquiry is a design and process that seeks ways to discover the potential of educators while also affirming what exists and using these insights to strengthen collective efforts (Cooperrider and Srivastva, 1987).

Findings
The educators’ narratives of solidarity provide us a window to see the collaborative transformative practices that create networks for educational justice. A model of expansive learning and solidarity is introduced.

Research limitations/implications
While the focus in this paper has been on one social justice network, the author’s intention has been to describe and interpret the broader processes of expansive learning, collaborative transformative practices and narratives of solidarity.

Practical implications
This study offers a unique, contextualized perspective of educators working together to create social justice literacies and the kinds of learning communities that are necessary to do so.

Social implications
Identifying the conditions necessary to build and sustain a network of social justice educators can promote the expansion of such networks.

Originality/value
Few studies have focused on literacy educators' narratives of solidarity and the thematic contours of solidarity in educational contexts. Further, this paper links the concepts of agency and solidarity.
Development of inclusive education theoretical model
Authors: Srivastava Anugamini Priya , Shree Sonal 
Published: March 2023

Purpose
Inclusive organizations believe in integrating all toward synergistic outcomes. However, the extent to which inclusive education plays their role toward inclusive organizations requires more explorations. Therefore, the purpose of this paper is to provide a theoretical model exploring authentic leadership (AL) as a predictor of inclusive organization in an Indian school context.

Design/methodology/approach
The paper theoretically develops a model to explore and establish inclusive classroom (IC) settings in emerging nations.

Findings
The study further provides academic optimism (AO), a latent term comprising collective efficacy, faculty trust and academic emphasis as its dimensions to intervene the linkage between AL and IC. Since teaching pedagogies help teachers to express their real intentions, this study also posits art-based innovation pedagogy as a future-oriented art pedagogy to strengthen the effect of teachers’ AO on IC.

Originality/value
This study will benefit the practitioners and academicians to re-design their policies and practices in developing nation education system.
The coexistence of blockchains and business models (innovation): a systematic review
Authors: Purusottama Ambara , Simatupang Togar Mangihut , Sunitiyoso Yos 
Published: March 2023

Purpose
Blockchain (BC) is a technological innovation that emphasizes the opposite paradigm compared to the available technology. This paradigm enables changing the firm’s business models (BMs) and has been elaborated by many experts. However, the discussion is scattered in various sources, particularly academic journals. This study aims to investigate the literature on the coexistence of BCs and BMs and depict the currently available situation that has not been discussed.

Design/methodology/approach
This study investigated articles focusing on the coexistence of BCs and BMs through heterogeneous academic databases, namely, Emerald, ProQuest, Taylor & Francis, ScienceDirect and Scopus. The systematic approach and development of inclusion criteria used in this study resulted in 52 key articles for further review. This systematic review followed the PRISMA framework and a timeframe between 2012 and 2022.

Findings
This study classifies literature based on specific themes, the integration of BC (interaction and evolution) and BM innovation (innovativeness, new value system and system logic), including the research design. As expected, the literature on BCs and BMs appears to be focused on particular themes since this topic appears to have grown. This study identifies gaps in the literature and describes future research to accommodate the study discrepancy.

Research limitations/implications
The major limitation of this study is the research bias. Such a bias might occur due to the misinterpretations of researchers in this study. In the process of devising databases and keywords, this study identified the potential for misinterpretation. This study sought to use rigid protocols through a manual approach to mitigate the potential bias. A research bias also has the potential to arise in the literature classification. A literature categorization is performed back and forth, by referring to the theory or concept of a particular topic. The next limitation is limited access to scientific databases. This study drew upon several reputable scientific journal databases. However, the researcher considered the journal selection to be built upon a journal’s accessibility, multi-disciplinary nature and data size compared to other journals. It allows the analysis results to be biased, as they do not represent all available databases. However, the study used the available formal access to maintain the integrity of this research.

Originality/value
This study conducts a systematic review that discusses the coexistence of BCs and BMs. Furthermore, it provides a profound understanding of the discussion carried out through certain themes and the outlook for the future.
Towards a conceptual-based, student-centred pedagogy
Authors: Miechie Miechie , Michelle Tan Yuen Sze , Adler Douglas J. 
Published: March 2023

Purpose
The purpose of this paper is to report on the approaches teacher candidates (TCs) took to craft the object of learning and the critical aspects when applying variation theory, in planning science lessons. It addresses the difficulty TCs often face in determining what students could learn when crafting the objects of learning and the critical aspects.

Design/methodology/approach
A total of 27 science TCs from an initial teacher education (ITE) were introduced to variation theory and collaborated in groups of four to five to plan lessons. Data included recordings of the lesson planning session and fieldnotes, TCs’ lesson plans and individual semi-structured interviews. Phenomenography as a methodology was employed to capture the variation in the TCs’ approaches in crafting the objects of learning and the critical aspects, resulting in categories of description that illustrated the complexity of the lesson planning process the TCs engaged with.

Findings
Arranged in hierarchical order, the three categories of description include TCs: analysing content knowledge in order to promote conceptual learning; reflecting on personal experiences and beliefs about teaching and learning; and drawing on external resources to develop knowledge about students.

Practical implications
The ways the TCs engaged with lesson planning constituted valuable resources to build their capacity to differentiate between superficial content engagement and deep conceptual learning.

Originality/value
The study reports on the potential of framing ITE discourse using variation theory to support TCs’ engaging with science teaching that is more conceptual-based, while increasing their sensitivity to students’ common conceptions that constrained the learning of canonical science.
Impact assessment of funding on technology acquisition by small businesses
Authors: Madichie Nnamdi O. , Mpiti Nosiphiwe , Rambe Patient 
Published: March 2023

Purpose
This study aims to examine the influence of funding on the technology acquisition by small businesses in a metropolitan municipality, Mangaung, which governs Bloemfontein and surrounding towns in the Free State province of South Africa.

Methodology/design/approach
A case study using survey research strategy of 110 small businesses in a South African municipality informed the research design for this study. The structured questionnaires were quantitatively analysed yielding both descriptive and regression results to address the research objectives.

Findings
The findings suggest that the prime sources of public funding for hair salon businesses are the National Youth Development Agency and the Small Enterprise Development Agency. The results also demonstrate that public funding has a negative and significant impact on technology acquisition, perhaps suggesting the complexity of debt financing and the exorbitant interest rates charged on principals borrowed by foreign nationals.

Originality/value
The study recommends the judicious acquisition of inexpensive technologies (e.g. social media platforms) and cautionary utilisation of complex technologies and personal savings before resorting to external borrowing.