bluuebunny/crossref_metadata_2025_split huggingface dataset:
Direct data–driven strategy for closed-loop aircraft flutter test
Authors: Jianhong Wang , Ramirez-Mendoza Ricardo A. 
Published: December 2022

Purpose
This new paper aims to extend the authors’ previous contributions about open-loop aircraft flutter test to closed-loop aircraft flutter test by virtue of the proposed direct data–driven strategy. After feeding back the output signal to the input and introducing one feedback controller in the adding feedback loop, two parts, i.e. unknown aircraft flutter model and unknown feedback controller, exist in this closed-loop aircraft flutter system, simultaneously, whose input and output are all corrupted with external noise. Because of the relations between aircraft flutter model parameters and the unknown aircraft model, direct data–driven identification is proposed to identify that aircraft flutter model, then some identification algorithms and their statistical analysis are given through the authors’ own derivations. As the feedback controller can suppress the aircraft flutter or guarantee the flutter response converge to one desired constant value, the direct data–driven control is applied to design that feedback controller only through the observed data sequence directly. Numerical simulation results have demonstrated the efficiency of the proposed direct data–driven strategy. Generally, during our new information age, direct data–driven strategy is widely applied around our living life.

Design/methodology/approach
First, consider one more complex closed loop stochastic aircraft flutter model, whose input–output are all corrupted with external noise. Second, for the identification problem of closed-loop aircraft flutter model parameters, new identification algorithm and some considerations are given to the corresponding direct data–driven identification. Third, to design that feedback controller, existing in that closed-loop aircraft flutter model, direct data–driven control is proposed to design the feedback controller, which suppresses the flutter response actively.

Findings
A novel direct data–driven strategy is proposed to achieve the dual missions, i.e. identification and control for closed-loop aircraft flutter test. First, direct data–driven identification is applied to identify that unknown aircraft flutter model being related with aircraft flutter model parameters identification. Second, direct data–driven control is proposed to design that feedback controller.

Originality/value
To the best of the authors’ knowledge, this new paper extends the authors’ previous contributions about open-loop aircraft flutter test to closed-loop aircraft flutter test by virtue of the proposed direct data–driven strategy. Consider the identification problem of aircraft flutter model parameters within the presented closed loop environment, direct data–driven identification algorithm is proposed to achieve the identification goal. Direct data–driven control is proposed to design the feedback controller, i.e. only using the observed data to design the feedback controller.
Use of visuals in sustainability reporting by New Zealand Stock Exchange (NZX) listed companies: an impression management perspective
Authors: Momin Mahmood Ahmed , Ahmed Zahir Uddin , Liu Renhe 
Published: December 2022

PurposeThe purpose of this research is to investigate the use of visuals in communicating symbolic sustainability information by the New Zealand Stock Exchange (NZX) listed companies through their standalone sustainability reports.Design/methodology/approachUsing the impression management theoretical framework and Barthes' conceptions of denotation and connotation, the study seeks to examine the way visuals, such as photos, tables and figures, are used to convey symbolic sustainability messages and information. The content analysis method was used to analyse 1,064 visuals from 20 New Zealand Stock Exchange listed companies' standalone sustainability reports for 2017.FindingsThe authors observe variations in the use of visuals to convey messages about sustainability and the appeal of these visuals to readers in the process of creating a symbolic sustainability message. While photos focus on emotions as their main method of impression management, tables and figures focus on the logical link between readers and a positive sustainability message.Research limitations/implicationsThe study adds to the impression management theory work that companies use a combination of photos, tables and figures in communicating symbolic positive sustainability messages. The insights inform the corporate culture of the use of visuals and the effect of future reporting practices regarding sustainability information in New Zealand and globally.Originality/valueUnlike other studies on sustainability reporting, we contend that a company uses a combination of visuals to create impressions that include not only positive but also negative and neutral sustainability messages.
The ghost city: chronicles of the apocalypse after COVID-19
Authors: Korstanje Maximiliano Emanuel , George Babu 
Published: December 2022

Purpose
The present conceptual paper evinces a new understanding of the present and future of the tourist city in a post-COVID-19 world. The pandemic has wreaked havoc in the tourism industry as well as global trade. The world, at least as we know, is debating the next recovery steps for 2023.

Design/methodology/approach
In this conceptual paper, the authors explore the substantial shifts faced by the urban areas during and post-COVID-19 pandemic. The disposed [and imposed] restrictive measures have affected negatively not only mobilities but also the urban landscape. The tourist-city, at least as it was imagined by J. Urry, has invariably set the pace to a ghost-city. In this new landscape, citizens are confined to be at home.

Findings
The tourist city has faced substantial changes. The authors dubbed the term ghost city to give some reflections on the radical changes urban zones are experiencing during 2020 and 2021. Classic notions as “the Other,” “globalization” and the “city” are in motion. The borders of some nations are being re-drawn while some radicalized voices and movements flourish.

Research limitations/implications
The authors introduce readers to the literature about the tourist city, which offers a perfect landscape for attraction, consumption and protest. The tourist city has been developed by scholars as a sign of a globalizing process that laid the foundations toward a new understanding of urban zones.

Practical implications
The present paper discusses critically the problem of COVID-19 and its severe restriction of free circulation and the forms in which the city is lived and dwelled. We were pressed to live our proximity through the lens of a screen or using digital media. The basic rights that are historically characterized by the legal architecture of the nation-state – which is based on high mobilities and the right of traveling – were suddenly suspended.

Originality/value
The authors deal with the problems of sociology to study the ghost city, which include not only the dilemmas revolving around the health passport but also the introduction of technology in formalizing the creation of a surveillance society that scrutinizes and, at the same time, entertains modern citizens, in a new culture where the “Other” becomes an undesired guest.
A relationship between perceived investment in temporary employee development and organizational performance: an empirical study
Authors: Manelkar Kishore Ashok , Iyer Radha , Gupta Kiran , Sampat Brinda 
Published: December 2022

PurposeOwing to business uncertainty, it is prudent for organizations to rely on temporary employees to achieve numerical flexibility. This paper investigates the effect of perceived investment in temporary employee development (PITED) on organizational performance (OP) through the mediation process of organizational identification (OI), work engagement (WE) and the moderation process of perceived human resource policies (PHRP). A conceptual framework was built on social exchange theory and job demands-resource theory.Design/methodology/approachData was collected from skilled temporary employees deputed at client organizations in the information technology business process management (IT-BPM) industry. Analysis was done using the partial least squares-structural equation modelling (PLS-SEM) method using SmartPLS 3.0 software.FindingsThe study established a significant association between PITED, OI and OP, in which OI acts as a partial mediator. In contrast, the mediating relationship of WE between PITED and OP was insignificant. PHRP moderated the relationship between PITED and OP.Practical implicationsThis research suggests to top management and human resource leaders that PITED makes temporary employees identify with client organizations, resulting in increased OP.Originality/valueThis research builds on theoretical assumptions to adopt a temporary employee perspective on organizational initiatives and performance in the IT-BPM industry, which is uncommon.
A machine learning approach for predicting critical factors determining adoption of offsite construction in Nigeria
Authors: Wusu Godoyon Ebenezer , Alaka Hafiz , Yusuf Wasiu , Mporas Iofis , Toriola-Coker Luqman , Oseghale Raphael 
Published: December 2022

PurposeSeveral factors influence OSC adoption, but extant literature did not articulate the dominant barriers or drivers influencing adoption. Therefore, this research has not only ventured into analyzing the core influencing factors but has also employed one of the best-known predictive means, Machine Learning, to identify the most influencing OSC adoption factors.Design/methodology/approachThe research approach is deductive in nature, focusing on finding out the most critical factors through literature review and reinforcing — the factors through a 5- point Likert scale survey questionnaire. The responses received were tested for reliability before being run through Machine Learning algorithms to determine the most influencing OSC factors within the Nigerian Construction Industry (NCI).FindingsThe research outcome identifies seven (7) best-performing algorithms for predicting OSC adoption: Decision Tree, Random Forest, K-Nearest Neighbour, Extra-Trees, AdaBoost, Support Vector Machine and Artificial Neural Network. It also reported finance, awareness, use of Building Information Modeling (BIM) and belief in OSC as the main influencing factors.Research limitations/implicationsData were primarily collected among the NCI professionals/workers and the whole exercise was Nigeria region-based. The research outcome, however, provides a foundation for OSC adoption potential within Nigeria, Africa and beyond.Practical implicationsThe research concluded that with detailed attention paid to the identified factors, OSC usage could find its footing in Nigeria and, consequently, Africa. The models can also serve as a template for other regions where OSC adoption is being considered.Originality/valueThe research establishes the most effective algorithms for the prediction of OSC adoption possibilities as well as critical influencing factors to successfully adopting OSC within the NCI as a means to surmount its housing shortage.
Metabolic reconstruction of the near complete microbiome of the model sponge Ianthella basta
Authors: Engelberts Joan Pamela , Robbins Steven J. , Herbold Craig W. , Moeller Florian U. , Jehmlich Nico , Laffy Patrick W. , Wagner Michael , Webster Nicole S. 
Published: December 2022

AbstractMany marine sponges host highly diverse microbiomes that contribute to various aspects of host health. Although the putative function of individual groups of sponge symbionts has been increasingly described, the extreme diversity has generally precluded in‐depth characterization of entire microbiomes, including identification of syntrophic partnerships. The Indo‐Pacific sponge Ianthella basta is emerging as a model organism for symbiosis research, hosting only three dominant symbionts: a Thaumarchaeotum, a Gammaproteobacterium, and an Alphaproteobacterium and a range of other low abundance or transitory taxa. Here, we retrieved metagenome assembled genomes (MAGs) representing >90% of I. basta's microbial community, facilitating the metabolic reconstruction of the sponge's near complete microbiome. Through this analysis, we identified metabolic complementarity between microbes, including vitamin sharing, described the importance of low abundance symbionts, and characterized a novel microbe–host attachment mechanism in the Alphaproteobacterium. We further identified putative viral sequences, highlighting the role viruses can play in maintaining symbioses in I. basta through the horizontal transfer of eukaryotic‐like proteins, and complemented this data with metaproteomics to identify active metabolic pathways in bacteria, archaea, and viruses. This data provide the framework to adopt I. basta as a model organism for studying host–microbe interactions and provide a basis for in‐depth physiological experiments.
Plant leaf proteins for food applications: Opportunities and challenges
Authors: Anoop A. A. , Pillai Prasanth K. S. , Nickerson Michael , Ragavan K. V. 
Published: December 2022

AbstractPlant‐based proteins are gaining a lot of attention for their health benefits and are considered as an alternative to animal proteins for developing sustainable food systems. Against the backdrop, ensuring a healthy diet supplemented with good quality protein will be a massive responsibility of governments across the globe. Increasing the yield of food crops has its limitations, including low acceptance of genetically modified crops, land availability for cultivation, and the need for large quantities of agrochemicals. It necessitates the sensible use of existing resources and farm output to derive the proteins. On average, the protein content of plant leaves is similar to that of milk, which can be efficiently tapped for food applications across the globe. There has been limited research on utilizing plant leaf proteins for food product development over the years, which has not been fruitful. However, the current global food production scenario has pushed some leading economies to reconsider the scope of plant leaf proteins with dedicated efforts. It is evident from installing pilot‐scale demonstration plants for protein extraction from agro‐food residues to cater to the protein demand with product formulation. The present study thoroughly reviews the opportunities and challenges linked to the production of plant leaf proteins, including its nutritional aspects, extraction and purification strategies, anti‐nutritional factors, functional and sensory properties in food product development, and finally, its impact on the environment.Practical Application: Plant leaf proteins are one of the sustainable and alternative source of proteins. It can be produced in most of the agroclimatic conditions without requiring much agricultural inputs. It's functional properties are unique and finds application in novel food product formulations.
GARP: A family of glycine and alanine‐rich proteins that helps spider mites feed on plants
Authors: Sun Qin‐Zhe , Li Xiao‐Lin , Shi Yu‐Fei , Zhang Yan‐Chun , Chai Wen‐Jie , Chen Ruo‐Yu , Niu Jinzhi , Wang Jin‐Jun 
Published: December 2022

AbstractSpider mites (Tetranychidae) are destructive agricultural pests which have evolved strategies to overcome plant defenses, such as the ability to puncture the leaves of their hosts to feed. The expression of many genes with unknown functions is altered during feeding, but little is known about the role of these genes in plant–mite interactions. Here, we identified 3 novel gene families through analysis of genomic and transcriptomic data from 3 spider mite species. These GARP family genes encode glycine and alanine‐rich proteins; they are present in mites (Acariformes) but absent in ticks (Parasitiformes) in the subclass Acari, indicating that these genes have undergone a significant expansion in spider mites and thus play important adaptive roles. Transcriptomic analysis revealed that the expression of GARP genes is strongly correlated with feeding and the transfer to new hosts. We used RNA interference to silence GARP1d in the two‐spotted spider mite Tetranychus urticae, which inhibited feeding and egg laying and significantly increased mortality when the mites were transferred to soybean shoots; a similar effect was observed after TuVATPase was silenced. However, no changes in mite mortality were observed after TuGARP1d‐silenced mites were placed on an artificial diet, which was different from the effect of TuVATPase silencing. Our results indicate that GARP family members play important roles in mite–plant interactions. Additional studies are needed to clarify the mechanisms underlying these interactions.
Uptake of Ecological Farming Practices by EU Farms: A Pan‐European Typology
Authors: Rega Carlo , Thompson Bethan , Niedermayr Andreas , Desjeux Yann , Kantelhardt Jochen , D’Alberto Riccardo , Gouta Penelope , Konstantidelli Vasilia , Schaller Lena , Latruffe Laure , Paracchini Maria Luisa 
Published: December 2022

SummaryUnderstanding and measuring the sustainability of farms is key to evaluating progress towards policy goals for a more sustainable agriculture. In the LIFT project, a farm typology was developed to classify farms according to their ecological performance, based on farm‐level variables from the Farm Accountancy Data Network (FADN). Selected variables are used to assess three key ecological dimensions of farming: total input intensity; degree of circularity (reliance on own‐produced versus external inputs); and avoidance of the use of specific inputs of concern for the environment and consumers. The combination of these aspects is considered as a measure of the farm proximity to a full agroecological approach. The typology allows comparison of farms across farm types, countries and years. We briefly present the method and discuss two key aspects: 1) how the proposed farm typology can inform policymaking in the context of a new EU policy framework; 2) how it can inform the foreseen transformation of the FADN into a Farm Sustainability Data Network (FSDN). We suggest that the use of a typology approach under the new FSDN provides useful information on the impacts of the implementation of agroecological practices with an acceptable additional effort in terms of data collection.
Tracing the geographic origin of endangered plant species using transcriptome‐derived SNPs: An example of Cathaya argyrophylla
Authors: Sun Jing‐Jing , Xia Xiao‐Mei , Wei Xiao‐Xin , Wang Xiao‐Quan 
Published: December 2022

AbstractGenetic markers have emerged as one of the most promising tools for species identification and geographic traceability in biodiversity conservation and international trade of biological products. However, traditional molecular markers rarely have sufficient resolution at lower taxonomic levels, especially for discriminating closely related forest tree species and their populations. In this study, we developed a panel of RNA‐Seq based single nucleotide polymorphism (SNP) markers for tracing the geographic origin of an endangered conifer, Cathaya argyrophylla, which is a paleoendemic restricted to four mountain regions in subtropical China. A total of 69 individuals from five populations (DLS, SHS, HP, BMS, and DYS) covering the entire range were used for transcriptome sequencing. Based on these transcriptomic data, we evaluated genetic variation and population structure of C. argyrophylla, and found extremely low nucleotide diversity but strong population differentiation. We also screened 113 population‐specific SNP loci, including 96 for BMS, eight for DYS, six for SHS, two for HP, and one for one of the three subpopulations from DLS. According to these geographically diagnostic SNPs, we designed four population‐specific molecular barcodes for PCR amplification. To test the utility and efficiency of the four markers in geographic discrimination, double‐blind experiment was performed using 157 individuals labelled without any locality information. We found that almost all tested individuals could be successfully assigned to their geographic localities. Our study not only sheds some new light on the genetic profile of C. argyrophylla, but also provides a practical and cost‐efficient solution for geographic traceability using transcriptome‐derived SNPs.
Diagnostic yield of radial probe endobronchial ultrasonography‐guided transbronchial biopsy without fluoroscopy in peripheral pulmonary lesions: A systematic review and meta‐analysis
Authors: Lee Jonghoo , Song Jae‐Uk 
Published: December 2022

AbstractPurposeAlthough radial probe endobronchial ultrasound (R‐EBUS) has been used to investigate peripheral pulmonary lesions (PPLs), its diagnostic performance without fluoroscopy remains unclear. We sought to determine the diagnostic yield of R‐EBUS‐guided transbronchial biopsy (TBB) without fluoroscopy.MethodsWe performed a systematic literature review using Pubmed, Embase, and the Cochrane Central Register. Then, we performed a proportional meta‐analysis to determine the diagnostic yield of this modality. Subgroup and meta‐regression analyses were used to identify factors affecting the performance of R‐EBUS‐guided TBB without fluoroscopy.ResultsWe identified 31 studies consisting of a total of 6491 patients. Pooled overall diagnostic yield of R‐EBUS‐guided TBB without fluoroscopy was 0.70 (95% confidence interval [CI], 0.67–0.74). There was significant heterogeneity across studies (I2 = 89.45%, p < 0.001). In subgroup and meta‐regression analyses, air bronchus sign on chest computed tomography scans, larger size PPLs, probe location within lesions, and heterogeneous echogenicity were associated with significantly higher diagnostic yield. Diagnostic yield from the upper lobe was statistically lower than that from the middle and lower lobes. Pooled pneumothorax rate was 0.01 (95% CI, 0.01–0.01, I2 = 63.51%, p < 0.001).ConclusionsR‐EBUS‐guided TBB without fluoroscopy appears to be a relatively useful tool with a low pneumothorax rate for the diagnosis of PPLs. Factors mentioned above may affect the diagnostic yield of this tool. Because of substantial between‐study heterogeneity, our results should be interpreted with caution.