bluuebunny/crossref_metadata_2025_split huggingface dataset:
vissE: A versatile tool to identify and visualise higher-order molecular phenotypes from functional enrichment analysis
Authors: Bhuva Dharmesh D. , Tan Chin Wee , Liu Ning , Whitfield Holly J. , Papachristos Nicholas , Lee Sam , Kharbanda Malvika , Mohamed Ahmed , Davis Melissa J. 
Published: March 2022

AbstractFunctional analysis of high throughput experiments using pathway analysis is now ubiquitous. Though powerful, these methods often produce thousands of redundant results owing to knowledgebase redundancies upstream. This scale of results hinders extensive exploration by biologists and often leads to investigator biases due to previous knowledge and expectations. To address this issue, we present vissE, a flexible network-based analysis method that summarises redundancies into biological themes and provides various analytical modules to characterise and visualise them with respect to the underlying data, thus providing a comprehensive view of the biological system. We demonstrate vissE’s versatility by applying it to three different technologies: bulk, single-cell and spatial transcriptomics. Applying vissE to a factor analysis of a breast cancer spatial transcriptomic data, we identified stromal phenotypes that support tumour dissemination. Its adaptability allows vissE to enhance all existing gene-set enrichment and pathway analysis workflows, removing investigator bias from molecular discovery.Abstract Figure
Mycobacterium tuberculosisPhoP integrates stress response to intracellular survival by regulating cAMP level
Authors: Khan Hina , Paul Partha , Goar Harsh , Bamniya Bhanwar , Baid Navin , Sarkar Dibyendu 
Published: March 2022

AbstractSurvival ofM. tuberculosiswithin the host macrophages requires the bacterial virulence regulator PhoP, but the underlying reason remains unknown. cAMP is one of the most widely used second messengers, which impacts on a wide range of cellular responses in microbial pathogens includingM. tuberculosis. Herein, we hypothesized that intra-bacterial cAMP level could be controlled by PhoP since this major regulator plays a key role in bacterial responses against numerous stress conditions. A transcriptomic analysis reveals that PhoP functions as a repressor of cAMP-specific phosphodiesterase (PDE) Rv0805, which hydrolyses cAMP. In keeping with these results, we find specific recruitment of the regulator within the promoter region ofrv0805PDE, and absence ofphoPor ectopic expression ofrv0805independently accounts for elevated PDE synthesis leading to depletion of intra-bacterial cAMP level. Thus, genetic manipulation to inactivate PhoP-rv0805-cAMP pathway decreases cAMP level, stress tolerance and intracellular survival of the bacillus.
The Spanish home care workers between job vulnerability and happiness in times of crisis
Authors: Minguela-Recover Mª Ángeles , López-Fernández Consuelo , López-Sánchez José Antonio , Picardo-García Juan Manuel 
Published: March 2022

Purpose
This study aims to analyze the well-being experience of home care workers regardless of the service management model. It also aims to analyze their emotional experiences of their activity and working conditions.

Design/methodology/approach
This study, using a mixed qualitative and quantitative analysis, allows a combined analysis for a better understanding of the well-being experience of home care workers.

Findings
Home care workers experience intrinsic job satisfaction and demonstrate this with positive emotions regardless of their work situation.

Practical implications
Caring for the carer should be a business value. Measures oriented toward workers’ comfort generate greater happiness and commitment, which is automatically transferred to the quality of the care provided and reduces the psychosocial risks of their professional activity.

Social implications
Visualizing the social reality of an essential profession through research generates verifiable evidence that will help to improve the working conditions of home care workers in Spain.

Originality/value
To the best of the authors’ knowledge, this pioneering study in Spain introduces a greater understanding of how home care workers in Spain experience their work reality.
Leverage strategies of Indian telecom sector: a dynamic panel data approach
Authors: Khan Tasneem , Shamim Mohd , Khan Mohammad Azeem 
Published: March 2022

Purpose
The purpose of this paper is to examine the optimal leverage ratio, speed of adjustment, and which factors contribute to achieving the target of selected telecom companies in a partial adjustment framework from 2008 to 2017. Further is to analyze the likelihood of bankruptcy of sample companies by Altman Z-Score model and to suggest which theory of capitals structure is better in explaining leverage strategies and judicious mix of debt and equity structure of the selected telecom companies.

Design/methodology/approach
This paper chooses a partial adjustment model and uses the generalized method of moments technique to identify the variables that influence the target leverage ratio and the factors that influence the speed at which the target leverage is adjusted. Second, the Altman Z-score model is used in this paper to research the financial status of telecom companies using financial instruments and techniques.

Findings
For Indian telecom firms, firm-specific variables such as profitability, NDTS and Z-score lead to greater debt adjustment towards optimal level target leverage. The paper also highlights new paradigms in the Indian telecom sector, stating that top market leaders such as Bharti Airtel, BSNL, Idea, Vodafone and R.com, among others, should focus on debt reduction and interest payments, as well as implement new strategies to solve the crisis and change financial policies.

Research limitations/implications
It mainly focuses on firm-specific variables because the firm-specific variables affect the leverage framework. The country-specific variables are not taken into the study. These results may be unique to telecom companies due to some peculiarities existing in the telecom sector in India. Although other sectors, both national and international level, can be taken into consideration.

Practical implications
This paper has ramifications for corporate executives, investors and policymakers in India, for example, in terms of considering different transition costs while changing a telecom company’s financing decisions.

Originality/value
To the best of the authors’ knowledge, this is the first paper of its kind to look at both financial and econometric tools to assess financial performance using the Altman Z-Score model, as well as decide leverage strategies and the pace with which they can be adjusted to target leverage in the context of Indian telecom companies.
Preferences for service bundles in the energy sector – a survey of German private households
Authors: Hackbarth André , Tremml Timo , Löbbe Sabine 
Published: March 2022

Purpose
The purpose of this study is to examine private households’ preferences for service bundles in the German energy market.

Design/methodology/approach
This investigation is based on survey data collected from 3,663 customers of seven mainly municipal energy suppliers in the German energy market. The data set was analyzed via a binary logistic regression model to identify the most prospective customers and their preferences regarding bundles of energy services.

Findings
The results indicate that potential adopters of energy-related service bundles have greater prior knowledge about service bundles; place higher importance on simplified handling, flat rates and long price guarantees; prefer to purchase a service bundle from an energy supplier; live in urban areas and have a gas tariff; are both less likely to have a green electricity tariff and to support the German energy transition; have a greater intention to purchase a smart home product; are less likely to already be prosumers; and prefer customer centers and social media as communication channels with energy providers.

Practical implications
This paper offers several implications for decision-makers in developing marketing strategies for bundled offerings in a highly competitive energy market.

Originality/value
This paper contributes to the sparse research on service bundles in the energy sector, despite the growing interest of energy suppliers and consumers in this topic. It expands the research focusing on the telecommunications sector.
Data as assemblage
Authors: Boyd Ceilyn 
Published: March 2022

PurposeA definition of data calleddata as assemblageis presented. The definition accommodates different forms and meanings of data; emphasizes data subjects and data workers; and reflects the sociotechnical aspects of data throughout its lifecycle of creation and use. A scalable assemblage model describing the anatomy and behavior of data, datasets and data infrastructures is also introduced.Design/methodology/approachData as assemblage is compared to common meanings of data. The assemblage model's elements and relationships also are defined, mapped to the anatomy of a US Census dataset and used to describe the structure of research data repositories.FindingsReplacing common data definitions with data as assemblage enriches information science and research data management (RDM) frameworks. Also, the assemblage model is shown to describe datasets and data infrastructures despite their differences in scale, composition and outward appearance.Originality/valueData as assemblage contributes a definition of data as mutable, portable, sociotechnical arrangements of material and symbolic components that serve as evidence. The definition is useful in information science and research data management contexts. The assemblage model contributes a scale-independent way to describe the structure and behavior of data, datasets and data infrastructures and supports analyses and comparisons involving them.
Moral communication observed with social systems theory. An introduction
Authors: Laursen Klaus Brønd , Harste Gorm , Roth Steffen 
Published: March 2022

PurposeThe present article pertains to recent advances in social systems theoretical analyses of moral communication.Design/methodology/approachAn introduction to basic concepts and requirements for systems-theoretical approaches to morality and communication is provided, as is an introduction to 14 contributions to a pertinent special issue of Kybernetes.FindingsThe review of these 14 cases suggests that social systems theory enables researchers to study moral communication without necessarily performing it.Originality/valueThis article reappraises and challenges Niklas Luhmann's occasionally distanced attitude to morality, which has occasionally been understood as a form of moral communication itself.
A single-valued neutrosophic decision framework for the assessment of sustainable transport investment projects based on discrimination measure
Authors: Hezam Ibrahim M. , Mishra Arunodaya Raj , Krishankumar R. , Ravichandran K.S. , Kar Samarjit , Pamucar Dragan Stevan 
Published: March 2022

PurposeThe study aims at evaluating the most appropriate transport project which is one of the critical concerns of transport infrastructure scheduling. This process will be applied considering a set of criteria and discussed alternatives with sustainable perspectives.Design/methodology/approachIn this paper, a complex proportional assessment (COPRAS) framework is discussed to handle the sustainable transport investment project (STIP) assessment problem within a single-valued neutrosophic set (SVNSs). To form the procedure more useful in handling with uncertain features, a SVNS is applied as a valuable procedure to handle uncertainty. First, a new discrimination measure for SVNSs is introduced and discussed some elegant properties to determine the significance degree or weight values of criteria with the sustainabality perspectives. Second, an integrated approach is introduced based on the discrimination measure and the COPRAS method on SVNSs and named as SVN-COPRAS.FindingsA case study of an STIP evaluation problem is used to confirm the practicality and effectiveness of the SVN-COPRAS framework. Lastly, comparative discussion and sensitivity investigation are illustrated to prove the strength and solidity of the proposed framework.Originality/valueThe SVNSs enrich the essence of linguistic information when a decision expert (DE) vacillates among different linguistic values (LVs) to measure a sustainable transport project alternative problem. The utilization of SVNSs provides a more stable procedure to describe DEs' evaluations. So, an elegant methodology is developed to incorporate the DEs' awareness and experience for electing the desired STIPs. The introduced methodology has higher operability than the single-valued neutrosophic set technique for order preference by similarity to an ideal solution (SVN-TOPSIS) procedure during the larger numbers of attribute(s) or option(s). For the SVN-COPRAS methodology, there is no need to estimate the single-valued neutrosophic ideal solution (SVN-IS) and single-valued neutrosophic anti-ideal solution (SVNA-IS). The outcomes are calculated with handling the realistic data, which elucidates that the introduced model can tackle more intricate and realistic multi-criteria decision-making issues.
Surfactant-assisted sol-gel synthesis of zinc ferrite magnetic nanoparticles for oil spills cleanup from seawater and antibacterial activity applications
Authors: Amar Ibrahim A. , Kanah Sarah S. , Hijaz Hibah A. , Abdulqadir Mabroukah A. , Shamsi Shamsi A. , Abdalsamed Ihssin A. , Samba Mohammed A. 
Published: March 2022

Purpose
The purpose of this research is to assess the removal of oil spills from the seawater surface as well as the antibacterial activity of ZnFe2O4-cetyltrimethylammonium bromide (CTAB, cationic surfactant) magnetic nanoparticles (ZFO-CTAB MNPs).

Design/methodology/approach
A CTAB-assisted sol–gel method was used to synthesize ZFO-CTAB MNPs. X-ray powder diffraction and Fourier transform infrared spectroscopy were used for ZFO-CTAB MNPs characterization. Also, the magnetic force and apparent density of ZFO-CTAB MNPs were determined. The oil spill cleanup was investigated by using the gravimetric oil removal (GOR) technique, which used ZFO-CTAB MNPs as oil absorbent material and four oil samples (crude, diesel, gasoline and used oil) as oil spill models. The antibacterial activity of ZFO-CTAB MNPs against Gram-negative bacteria (Pseudomonas aeruginosa, Escherichia coli and Salmonella typhi) was investigated by using the optical density method.

Findings
The results revealed that, when the amount of ZFO-CTAB was 0.01 g, gasoline oil had the highest GOR (51.80 ± 0.88 g/g) and crude oil had the lowest (11.29 ± 0.82 g/g). Furthermore, for Escherichia coli, Salmonella typhi and Pseudomonas aeruginosa, ZFO-CTAB MNPs inhibited bacterial growth with a higher percentage (94.24%–95.63%).

Originality/value
The applications of ZFO-CTAB MNPs in the cleanup of oil spills from aqueous solutions, as well as their antibacterial activity. The results showed that ZFO-CTAB MNPs are a promising material for removing oil spills from bodies of water as well as an antibacterial agent against Gram-negative bacterial strains.
Quantitative matching of forensic evidence fragments utilizing 3D microscopy analysis of fracture surface replicas
Authors: Dawood Bishoy , Llosa‐Vite Carlos , Thompson Geoffrey Z. , Lograsso Barbara K. , Claytor Lauren K. , Vanderkolk John , Meeker William , Maitra Ranjan , Bastawros Ashraf 
Published: March 2022

AbstractSilicone casts are widely used by practitioners in the comparative analysis of forensic items. Fractured surfaces carry unique details that can provide accurate quantitative comparisons of forensic fragments. In this study, a statistical analysis comparison protocol was applied to a set of 3D topological images of fractured surface pairs and their replicas to provide confidence in the quantitative statistical comparison between fractured items and their silicone cast replicas. A set of 10 fractured stainless steel samples were fractured from the same metal rod under controlled conditions and were replicated using a standard forensic casting technique. Six 3D topological maps with 50% overlap were acquired for each fractured pair. Spectral analyses were utilized to identify the correlation between topological surface features at different length scales of the surface topology. We selected two frequency bands over the critical wavelength (greater than two‐grain diameters) for statistical comparison. Our statistical model utilized a matrix‐variate t‐distribution that accounts for overlap between images to model match and non‐match population densities. A decision rule identified the probability of matched and unmatched pairs of surfaces. The proposed methodology correctly classified the fractured steel surfaces and their replicas with a posterior probability of match exceeding 99.96%. Moreover, the replication technique shows potential in accurately replicating fracture surface topological details with a wavelength greater than 20 μm, which far exceeds the feature comparison range on most metallic alloy surfaces. Our framework establishes the basis and limits for forensic comparison of fractured articles and their replicas while providing a reliable fracture mechanics‐based quantitative statistical forensic comparison.
Attitude toward heavy drinking as a key longitudinal predictor of alcohol consumption and problems
Authors: DiBello Angelo M. , Hatch Melissa R. , Miller Mary Beth , Mastroleo Nadine R. , Carey Kate B. 
Published: March 2022

AbstractBackgroundLittle research has considered the importance of a person's attitude toward heavy drinking when evaluated against other well‐known predictors of alcohol use and related harm including drinking motives and drinker identity. The current study aimed to evaluate whether one's favorable attitude toward heavy drinking is a unique predictor of prospectively assessed drinking‐related outcomes when considered against descriptive and injunctive norms, drinking intentions, drinking motives, and drinker identity.MethodsParticipants in the current study comprised mandated students (n = 374; 54% male) who violated a campus alcohol policy and received a brief intervention (eCHECKUP TO GO). Analyses included the use of negative binomial regression to examine baseline predictors— attitude toward heavy drinking, perceived descriptive and injunctive norms, drinking intentions, drinking motives, and drinker identity—of prospective alcohol use outcomes and alcohol‐related problems 1 month later.ResultsWe found that one's attitude toward heavy drinking remains a significant predictor of binge frequency, peak drinking, and alcohol‐related problems when accounting for norms, intentions, motives, and identity.ConclusionsThis study has important theoretical and intervention implications. Indeed, the finding that one's attitude toward heavy drinking remains a significant predictor of alcohol‐related outcomes when intentions are included in the model has implications within the theory of planned behavior. Furthermore, attitude toward heavy drinking has predictive utility when considered against descriptive and injunctive norms, drinking motives, and drinker identity. These findings contribute to a growing literature suggesting that attitudes could be an important intervention target when the goal is to change drinking behavior.
Camera traps reveal a large population of brown hyaena on a fenced reserve in southern Zimbabwe
Authors: Gush Wesley G. , Wijers Matthew C. , Comley Jessica , Sousa Lara L. , O'Donnell Holly , Svensson Laurence M. , Macdonald David W. , Loveridge Andrew J. 
Published: March 2022

AbstractInvestigations into the demographics of cryptic carnivores such as the near‐threatened brown hyaena Parahyaena brunnea have been improved by recent developments in camera trap technology and survey methods. Here, we assess the population density and abundance of this species on the Bubye Valley Conservancy (BVC) in south‐west Zimbabwe, a largely unsurveyed portion of the brown hyaena's range. We estimated brown hyaena density from a camera trap survey across two sections of the BVC (namely Main Conservancy and Ripple Creek) using a spatially explicit capture‐recapture method from individually identifiable images. This resulted in population density estimates of 14.72 ± 0.99 per 100 km2 for the Main Conservancy and 6.39 ± 1.74 for the Ripple Creek. While similar results have been found in recent studies of small, fenced reserves in Southern Africa, to our knowledge, these high‐density findings are the first for a large (>1000 km2) fenced reserve. We estimated the brown hyaena population on the BVC to be in excess of 400 individuals. This considerable population size is likely due to the well‐protected nature of the reserve and the scavenging opportunities provided by the sympatric large carnivores on the BVC, suggesting that this is a key locale for the species' conservation.
Microtopographic variations in soil physico‐chemical properties in oldfield targeted for ecological restoration
Authors: Ruwanza Sheunesu 
Published: March 2022

AbstractMicrotopographic conditions affect patterns of soil physico‐chemical properties in oldfields targeted for passive ecological restoration. This study sampled soil at a microtopographic level in three oldfield sites targeted for ecological restoration to better understand changes in soil physico‐chemical properties of pH, P, N, C, K, Na, Ca, Mg, moisture, penetration resistance and water repellency. The study was conducted in oldfields located at Nanaga farm in the Eastern Cape Province of South Africa. Topsoil samples were collected over 3 months in two oldfield locations, namely furrows and ridges, and were compared to soils from adjacent reference sites. Results indicate that soil P, C and N were significantly higher in oldfield ridges and reference sites than in oldfield furrows. Throughout the three sampling months, soils from oldfield ridges were less compact and repellent as compared to soils from the oldfield furrows which were compact and wettable. The study concludes that the observed soil physico‐chemical differences between oldfield furrows and ridges were influenced by vegetation availability and microtopographic conditions between oldfield ridges and furrows. The study recommends that soil restoration initiatives (e.g. soil nutrient manipulation) in these oldfields should concentrate on improving the nutrient‐poor and compact furrows than ridges.