bluuebunny/crossref_metadata_2025_split huggingface dataset:
Goal specificity or ambiguity? Effects of self-quantification on persistence intentions
Authors: Shi Haijiao , Chen Rong 
Published: December 2021

PurposeThe current study implies self-quantification to consumer behavior and investigates how self-quantification influences consumers' persistence intentions, then indicates the underlying mechanism and examines the role of sharing in social media context.Design/methodology/approachThe hypotheses are tested by three experimental studies. In study 1, the authors test the main effect of self-quantification on persistence intentions and demonstrate goal specificity as the mediator. In study 2 and 3, the authors explore sharing and sharing audience as the moderators.FindingsThe current research demonstrates that quantifying personal performance increases consumers' persistence intentions because self-quantification makes the focal goal more specific. However, sharing self-quantification performance with others has a negative effect on the relationship between self-quantification and persistence intentions. Building on goal conflict theory, sharing diverts consumers' focus away from the goal itself and toward others' evaluation and judgment, which makes the focal goal more ambiguous. Moreover, the negative effect depends on who is the sharing audience. When consumers share with close others who hold a similar goal with them, the negative effect of sharing is dramatically reversed.Practical implicationsThe present research offers guidelines to managers about how to design self-tracking system to increase user's engagement and how to establish social community on social media platform to motivate users' goal pursuit.Originality/valueThis study contributes to the research of self-quantification from consumer behavior perspective. It also enriches interactive marketing literature by broadening self-quantification relevant research from social interaction dimension.
Molecular identification of seed‐feeding flies dissected from herbarium specimens clarifies the 100‐year history of parasitism by Japanagromyza tokunagai in Japan
Authors: Yamashita Yumi , Ogura‐Tsujita Yuki , Nagata Nobuaki , Kurosawa Takahide , Yukawa Tomohisa 
Published: December 2021

AbstractInsect pests, particularly seed‐feeding flies, can cause serious damage to the fruits of many wild orchid species. Evidence of fly damage has been observed in 55 orchid species, belonging to 25 genera, distributed throughout Japan. Although some authors suggested that the observed increase in fly damage to orchids in recent years is related to the introduction of exotic species, the timing and route of spread remain unclear. We examined herbarium specimens of seven orchid species, collected between 1923 and 2016, to collect coarctate pupae and empty puparia, with minimal damage to the specimens. Genomic DNA was then extracted from the insect tissue and species were identified using mitochondrial cytochrome oxidase subunit 1 barcode regions. Long amplicons (660 base pairs [bp]) were obtained from 45.2% of samples and short amplicons (162 bp) were obtained from 90.3% of samples. In total, 51 of 62 samples had nucleotide sequences homologous to Japanagromyza tokunagai, with specimens distributed across collection years and geographic locations. Therefore, the severe damage to Japanese orchids observed in recent years is not related to the recent introduction of an exotic species; it may be related to a rapid increase in a native species. This work highlights the value of herbaria as important resources for elucidating the history and distribution of parasitic insects.
Did amalgamation make local government more fit for the future?
Authors: Drew Joseph , McQuestin Dana , Dollery Brian 
Published: December 2021

AbstractLocal government amalgamations, mostly aimed at improving financial sustainability, remain a strongly contested public policy option. Proponents of amalgamation tend to emphasise the advantages of scale and plan around population size targets. By contrast, some scholars note the importance of understanding the needs and tastes of residents for local public services and stress the dangers of amalgamation dominated by population size considerations alone. In this paper, we conduct a robust empirical investigation of a recent amalgamation program dominated by population size considerations. Our results suggest that local government boundaries constructed principally to secure scale benefits have largely failed to deliver on the pecuniary promise of its public policy proponents. We conclude by offering some central public policy recommendations aimed at ensuring that future amalgamation programs might be more successful.
The journey from infertility to uterus transplantation: A qualitative study of the perspectives of participants in the Dallas Uterus Transplant Study
Authors: Wall Anji E. , Johannesson Liza , Sok Monica , Warren Ann Marie , Gordon Elisa J. , Testa Giuliano 
Published: December 2021

AbstractObjectiveTo assess how absolute uterine factor infertility affects women who undergo uterus transplantation, how uterus transplantation impacts women with absolute uterine factor infertility and how uterus transplant recipients view uterus transplantation in terms of their reproductive autonomy.DesignQualitative semi‐structured interview study.SettingUterus transplant programme in a large academic medical centre in the USA.Population/sampleTwenty one uterus transplant recipients.MethodsA medical chart review was conducted to collect patient demographic information and clinical outcomes. Semi‐structured interviews collected information regarding participants’ experience.Main outcome measure(s)The outcomes of interest were participants’ experience of infertility, experience with uterus transplantation and general perceptions of uterus transplantation.ResultsSix participants were pregnant (one with a second child), six had experienced early graft failure and removal, five had delivered a healthy baby, and four had a viable graft and were awaiting embryo transfer. The primary themes identified were: the negative impact of absolute uterine factor infertility diagnosis on psychological wellbeing, relationships and female identity; the positive impact of uterus transplantation on healing the emotional scars of absolute uterine factor infertility, female identity and value of research trial participation and the perception of uterus transplantation as an expansion of reproductive autonomy. All participants reported that uterus transplantation was worthwhile, regardless of individual outcome.ConclusionAbsolute uterine factor infertility has a negative impact on women from a young age, affects multiple relationships and challenges female identity. Uterus transplantation helps to reverse this impact, transforming women's life narrative of infertility and enhancing female identity.Tweetable AbstractAbsolute uterine factor infertility (AUFI) adversely affects women. Uterus transplantation helps mitigate the negative impact of AUFI, by transforming women's life narratives of infertility and enhancing female identity.
ISSRseq: An extensible method for reduced representation sequencing
Authors: Sinn Brandon T. , Simon Sandra J. , Santee Mathilda V. , DiFazio Stephen P. , Fama Nicole M. , Barrett Craig F. 
Published: December 2021

Abstract

The capability to generate densely sampled single nucleotide polymorphism (SNP) data is essential in diverse subdisciplines of biology, including crop breeding, pathology, forensics, forestry, ecology, evolution and conservation. However, the wet‐laboratory expertise and bioinformatics training required to conduct genome‐scale variant discovery remain limiting factors for investigators with limited resources.

Here we present ISSRseq, a PCR‐based method for reduced representation of genomic variation using simple sequence repeats as priming sites to sequence inter simple sequence repeat (ISSR) regions. Briefly, ISSR regions are amplified with single primers, pooled, used to construct sequencing libraries with a commercially available kit, and sequenced on the Illumina platform. We also present a flexible bioinformatic pipeline that assembles ISSR loci, calls and hard filters variants, outputs data matrices in common formats, and conducts population analyses using R.

Using three angiosperm species as case studies, we demonstrate that ISSRseq is highly repeatable, necessitates only simple wet‐laboratory skills and commonplace instrumentation, is flexible in terms of the number of single primers used, and can generate genomic‐scale variant discovery on par with existing RRS methods which require more complex wet‐laboratory procedures.

ISSRseq represents a straightforward approach to SNP genotyping in any organism, and we predict that this method will be particularly useful for those studying population genomics and phylogeography of non‐model organisms. Furthermore, the ease of ISSRseq relative to other RRS methods should prove useful to those lacking advanced expertise in wet‐laboratory methods or bioinformatics.
Economic uncertainty and Australian stock returns
Authors: Chen Xiaoyue , Li Bin , Worthington Andrew C. 
Published: December 2021

AbstractMotivated by the purportedly close relation between economic uncertainty and future stock returns in the US, we investigate the predictive role of this potential factor in the Australian stock market. Applying portfolio‐sorting strategies based on economic uncertainty exposure measured by individual stock betas, we find that uncertainty betas negatively relate to future stock returns over short‐ and medium‐term trading horizons. Moreover, common asset pricing models, including the capital asset pricing model (CAPM) and the Fama and French three‐, five‐, and six‐factor models, cannot explain these relations. The results remain robust when applying firm‐level Fama and MacBeth regressions.
Pseudodominant Alport syndrome caused by pathogenic homozygous and compound heterozygous COL4A3 splicing variants
Authors: Mohamed Maha , Tellez James , Bergmann Carsten , Gale Daniel P. , Sayer John A. , Olinger Eric 
Published: December 2021

AbstractAlport syndrome is a genetic disorder affecting the basement membranes of the kidney, ear and eye, and represents a leading cause of monogenic kidney disease. Alport syndrome is genetically heterogeneous with three key genes involved (COL4A3‐5) and several transmission patterns, including monogenic X‐linked, autosomal recessive/dominant and digenic. We report a consanguineous family where 13 individuals presented variable features of Alport syndrome including kidney failure on two generations and male‐to‐male transmission, suggesting autosomal dominant inheritance. COL4A3‐5 gene panel analysis surprisingly reveals two distinct, confirmed splice‐altering variants in COL4A3 (NM_000091.4: c.1150+5G>A and c.4028‐3C>T) present in homozygous or compound heterozygous state in individuals with kidney failure. This adds a further mode of transmission for Alport syndrome where, in a consanguineous family, the independent segregation of two variants at the same locus may create a pseudodominant transmission pattern. These findings highlight the importance of a molecular diagnosis in Alport syndrome for genetic risk counselling, given the variable modes of inheritance, but also the pitfalls of assuming identity by descent in consanguineous families.
Assessment of hepatic steatosis based on needle biopsy images from deceased donor livers
Authors: Cherchi Vittorio , Mea Vincenzo Della , Terrosu Giovanni , Brollo Pier Paolo , Pravisani Riccardo , Calandra Sergio , Scarpa Edoardo , Ventin Marco , D'Alì Lorenzo , Lorenzin Dario , Loreto Carla Di , Risaliti Andrea , Baccarani Umberto 
Published: December 2021

AbstractBackgroundAssessment of hepatic steatosis (HS) before transplantation requires the pathologist to read a graft biopsy. A simple method based on the evaluation of images from tissue samples with a smartphone could expedite and facilitate the liver selection. This study aims to assess the degree of HS by analysing photographic images from liver needle biopsy samples.MethodsThirty‐three biopsy‐images were acquired with a smartphone. Image processing was carried out using ImageJ: background subtraction, conversion to HSB colour space, segmentation of the biopsy area, and evaluation of statistical features of Hue, Saturation, Brightness, Red, Green, and Blue channels on the biopsy area. After feature extraction, correlations were made with gold standard HS percentage assessed at two levels (frozen‐section vs glass‐slide). Sensitivity, specificity, and accuracy were calculated for each feature.ResultsCorrelations were found for H, S, R. The sensitivity, specificity, and accuracy of the final classifier based on the K* algorithm were 94%, 92%, 94%.LimitationsAccuracy assessment was performed considering macrovesicular steatosis on specimens with mostly < 30% HS.ConclusionsThe steatosis assessment based on needle biopsy images, proved to be an effective and promising method. Deep learning approaches could also be experimented with a larger set of images
Dynamics of microbial residues in highland agroecosystems as affected by cropping systems and fertilisation in a 31‐year‐long experiment
Authors: Su Fuyuan , Chen Xu , Zhang Liqiong , Hao Mingde , Wei Xiaorong 
Published: December 2021

AbstractMicrobial residues are essential for soil organic carbon (SOC) accumulation and stability. However, the interactive effects of cropping system and fertilisation on microbial residues and their contributions to SOC have not been addressed. Herein, we used amino sugars as tracers for microbial residues and analysed the dynamics of microbial residues in a 31‐year‐long experiment in a highland agroecosystem to understand how effects of fertilisation vary with cropping systems. The cropping systems included continuous alfalfa (AC, a pure legume system), continuous winter wheat (WC, a non‐legume system) and grain‐legume rotation (GLR) system. The fertilization treatments were the unfertilised control (CK), phosphorus (P), P and nitrogen (NP) and NP and manure (NPM). When averaged across the experimental periods, compared with the GLR and WC systems, the AC system increased microbial residues, the ratio of fungal‐to‐bacterial residues and the contribution of fungal residues to SOC. The NP and NPM increased microbial residues, and the effects of NPM were greater than those of NP. However, the contribution of microbial residues to SOC was lower in the NPM treatment than that in the NP treatment. The effects of NP or NPM on microbial residues were similar among cropping systems, while the effect of P was greater in the AC system but smaller in the WC system in comparison with those in the GLR system. Therefore, the pure legume cropping system was conducive to SOC accumulation mainly by increasing fungal residues in soils. Manure combined with chemical fertilisers was more beneficial to the accumulation of microbial residues, but SOC accumulation caused by it was less attributable to the increase in microbial‐derived C. Moreover, P fertiliser was crucial for the accumulation of microbial residues in legume‐included cropping systems.Highlights
This study addresses effects of fertilization on microbial residues in three cropping systems.
The effects of NP or NPM on microbial residues were similar among cropping systems.
The effect of P fertilizer on microbial residues varied with cropping system.
Legume cropping system was conducive to SOC accumulation mainly by increasing fungal residues.
Evolution of manipulative microbial behaviors in the rhizosphere
Authors: Klein Malin , Stewart Justin D. , Porter Stephanie S. , Weedon James T. , Kiers E. Toby 
Published: December 2021

AbstractThe rhizosphere has been called “one of the most complex ecosystems on earth” because it is a hotspot for interactions among millions of microbial cells. Many of these are microbes are also participating in a dynamic interplay with host plant tissues, signaling pathways, and metabolites. Historically, breeders have employed a plant‐centric perspective when trying to harness the potential of microbiome‐derived benefits to improve productivity and resilience of economically important plants. This is potentially problematic because: (i) the evolution of the microbes themselves is often ignored, and (ii) it assumes that the fitness of interacting plants and microbes is strictly aligned. In contrast, a microbe‐centric perspective recognizes that putatively beneficial microbes are still under selection to increase their own fitness, even if there are costs to the host. This can lead to the evolution of sophisticated, potentially subtle, ways for microbes to manipulate the phenotype of their hosts, as well as other microbes in the rhizosphere. We illustrate this idea with a review of cases where rhizosphere microbes have been demonstrated to directly manipulate host root growth, architecture and exudation, host nutrient uptake systems, and host immunity and defense. We also discuss indirect effects, whereby fitness outcomes for the plant are a consequence of ecological interactions between rhizosphere microbes. If these consequences are positive for the plant, they can potentially be misconstrued as traits that have evolved to promote host growth, even if they are a result of selection for unrelated functions. The ubiquity of both direct microbial manipulation of hosts and context‐dependent, variable indirect effects leads us to argue that an evolutionary perspective on rhizosphere microbial ecology will become increasingly important as we continue to engineer microbial communities for crop production.
Small plaque psoriasis re‐visited: A type of psoriasis mediated by a type‐I interferon pathway
Authors: Khosravi‐Hafshejani Touraj , Ghoreishi Mehran , Vera Kellet Cristian , Crawford Richard I. , Martinka Magdalena , Dutz Jan P. 
Published: December 2021

AbstractTNFα‐inhibitor‐induced psoriasis is mediated by the type‐I interferon pathway, of which IFNα, LL37 and IL‐36γ are major players. A subset of patients treated with TNFα inhibitors develop small plaque psoriatic lesions. Small plaque psoriasis is similarly observed in patients on immune checkpoint inhibitors (ICI), and with concurrent systemic lupus erythematosus (SLE) or positive antinuclear antibody (ANA). Small plaque psoriasis is also the predominant phenotype in Asian populations. The association between small plaque psoriasis morphology in various clinical scenarios and the type‐I interferon pathway has not been previously studied. A cross‐sectional study was conducted of patients who developed small plaque psoriasis and had a biopsy for diagnostic clarification between 2009 and 2017. We obtained skin specimens from 14 adults with small plaque psoriasis: four patients taking anti‐TNFα treatment, four patients with antecedent SLE, three patients with concurrent ANA positivity and three patients taking ICI. Controls included three patients with chronic plaque psoriasis. Histology confirmed psoriasiform epidermal hyperplasia with focal lichenoid and spongiotic features. Immunohistochemical analysis revealed higher expression of IFNα‐induced MXA, LL37 and IL‐36γ in all clinical scenarios of small plaque psoriasis compared to chronic plaque psoriasis. There was decreased CD8 T‐cell migration to the epidermis and variability in the number of LAMP3+ cytoplasmic dendritic cells in the dermis of small plaque psoriasis. The findings suggest that small plaque psoriasis is a unique type of psoriasis with a distinct morphology and immune‐phenotype, primarily mediated by the type‐I interferon pathway. Associating morphology and disease pathogenesis may help identify therapeutic targets for better disease control.
An improved chaotic ideal gas molecular movement algorithm for engineering optimization problems
Authors: Varaee Hesam , Ghasemi Mohammad Reza 
Published: December 2021

AbstractRecently, the ideal gas molecular movement (IGMM) optimization algorithm was introduced by the authors. It is inspired by the movement and collision behaviour of the ideal gas molecules in an isolated medium. Although the IGMM could perform a high potential in determining the global optimum, improving its convergence behaviour came to the attention of the present investigation to deal with any type of especially highly nonlinear optimization problems. For that purpose, two actions took place hybridly. One was the simulation of the vibrational motion of gas molecules, especially at the early stages of the optimization process. The second simultaneous move concerned the non‐repetitive nature of chaotic maps which could diversify the molecules, reduce the threat of premature convergence and improve the convergence speed of the IGMM algorithm. Therefore, this article investigates 10 different chaotic map functions and a random number generator along with four different Vibrational‐based Chaotic IGMM (VCIGMM) strategies to still improve the speed of convergence. The results of applying the proposed algorithm to various numerical and engineering benchmark problems, intensely show that the chaotic maps, merged with vibrational motion of gas molecules, significantly improved the performance of the IGMM. It could considerably outperform some of the well‐known meta‐heuristic optimization algorithms in the literature.
Overlapping community detection in complex networks using fuzzy theory, balanced link density, and label propagation
Authors: Jokar Ehsan , Mosleh Mohammad , Kheyrandish Mohammad 
Published: December 2021

AbstractComplex networks represent various real‐world systems. Overlapping community detection is one of the critical tasks in studying these networks and has significance to a wide variety of applications, including the exploration of online social networks because of the natural attitude of persons to participate in multiple communities at the same time. Despite a large number of existing community detection algorithms for detecting disjoint communities, the efficient and fast uncovering of overlapping communities has remained a challenging problem. To provide an efficient solution, on the one hand, the balanced link density label propagation (BLDLP) algorithm, proposed by the authors of the current study, is a fast, stable, and efficient method for disjoint community detection. On the other hand, the fuzzy theory is a worthwhile approach for overlapping community detection since it provides the membership rate of the overlapping nodes as well as the detection of overlapping communities. Hence, in this paper, based on the synergy of the BLDLP algorithm and the fuzzy theory, a novel method, called fuzzy BLDLP, for overlapping community detection is proposed. Fuzzy BLDLP is fast and efficient. The proposed method needs no prior information about the number of network communities to discover them. The experiments on both synthetic and real‐world known networks, including Zachary, Dolphins, and COVID‐19 Co‐authorship, have revealed that the proposed method successfully detects the overlapping nodes and communities and hence is comparable with the state‐of‐the‐art overlapping community detection algorithms in terms of recall, precision, F‐score and overlapping normalized mutual information.