bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring knowledge flow within a technology domain by conducting a dynamic analysis of a patent co-citation network
Authors: Smojver Vladimir , Štorga Mario , Zovak Goran 
Published: June 2020

Purpose
This paper aims to present a methodology by which future knowledge flow can be predicted by predicting co-citations of patents within a technology domain using a link prediction algorithm applied to a co-citation network.

Design/methodology/approach
Several methods and approaches are used: a dynamic analysis of a patent citation network to identify technology life cycle phases, patent co-citation network mapping from the patent citation network and the application of link prediction algorithms to the patent co-citation network.

Findings
The results of the presented study indicate that future knowledge flow within a technology domain can be predicted by predicting patent co-citations using the preferential attachment link prediction algorithm. Furthermore, they indicate that the patent – co-citations occurring between the end of the growth life cycle phase and the start of the maturation life cycle phase contribute the most to the precision of the knowledge flow prediction. Finally, it is demonstrated that most of the predicted knowledge flow occurs in a time period closely following the application of the link – prediction algorithm.

Practical implications
By having insight into future potential co-citations of patents, a firm can leverage its existing patent portfolio or asses the acquisition value of patents or the companies owning them.

Originality/value
It is demonstrated that the flow of knowledge in patent co-citation networks follows a rich get richer intuition. Moreover, it is show that the knowledge contained in younger patents has a greater chance of being cited again. Finally, it is demonstrated that these co-citations can be predicted in the short term when the preferential attachment algorithm is applied to a patent co-citation network.
Understanding relational virtual community members’ satisfaction from a social learning perspective
Authors: Chou Shih-Wei 
Published: June 2020

Purpose
This study develops a belief-value-satisfaction model based on social cognitive theory. This paper aims to explain how relational virtual community (RVC) members’ beliefs on individual features and environments can be transformed into satisfaction through social learning strategies.

Design/methodology/approach
The authors followed a longitudinal, quasi-experimental field approach to collect data from two phases, which entailed the key informant approach to get the responses from those who participated in knowledge exchange in VC. The authors used partial least squares to examine the proposed hypotheses.

Findings
Satisfaction is measured as two dimensions – outcome and process. Value creation is conceptualized as social self-regulated learning (SRL), and its antecedents include lead userness, learning goal orientation and social influence. The results show that both dimensions of satisfaction are affected by social SRL, which in turn is influenced by learning goal orientation and social influence.

Originality/value
A systematic research for understanding satisfaction from a social learning perspective in relational virtual community settings remains absent. This study explains why and how relational virtual community members’ social SRL serves the role in leveraging resources and reducing uncertainty, from which they gain satisfaction.
Ownership-motivated income shifting: evidence from European Multinational Groups
Authors: Medioli Alice , Azzali Stefano , Mazza Tatiana 
Published: June 2020

PurposeAlthough tax-motivated income shifting has been widely explored, no studies have as yet analyzed the association between ownership structure and management decisions about income shifting. The ownership structure of multinational groups is characterized by different levels of minority interests, and our aim is to establish whether income shifting is explained by the aim of expropriation of minorities, as well as taxation avoidance.Design/methodology/approachWe collect data on a sample of European parent companies located in five countries and their foreign subsidiaries, and run a multivariate regression based on the Huizinga and Laeven (2008) model.FindingsOur results support the idea of minority expropriation, finding evidence of ownership-motivated income shifting. We also find that the level of minority protection affects ownership-motivated income shifting, and that, when both are present, expropriation is statistically significant.Research limitations/implicationsAlthough the study looks at a wide range of subsidiaries, a limitation may be that it examines only firms having parent companies in five European countries. Further research would overcome this limitation and extend the literature and take into account other income-shifting contextual variables. Our results may lead regulators to pay more attention to the protection of minority interests.Practical implicationsThis research offers insights to companies and investors, and should help them to make better-informed decisions and evaluate the best contexts for investments.Originality/valueThis study enriches the literature on income shifting by revealing that it can be caused by factors other than the desire to avoid taxation. It suggests that ownership structure is crucial.
Flexible bar buckling under short-time and long-term compressions
Authors: Egorov Anton , Egorov Vitaly 
Published: June 2020

PurposeThe purpose of this paper is to expand possibilities of stability computing method when performing a dynamic analysis of bar- or rod-shaped elements for actual structures.Design/methodology/approachThe methodology is based on the changes of stress–strain state of the bar-shaped elements at the moment of buckling. The proposed method is based on three assumptions. Firstly, the spatial stress–strain state is determined in the bar. Secondly, technological deviations inherent in real structures are introduced into the bar. Thirdly, mechanical behaviour of the bar is investigated in the mode of real time, which makes it possible to take into account wave deformation processes in the bar. To implement the suggested method of analysis, LS-DYNA package was selected in a dynamic formulation using solid finite elements.FindingsValidity of the proposed method is shown by an example of dynamic stability analysis of a steel flat thin bar with two types of loads: short-time and long-term axial compressions. Comparison of the results showed different nature of the mechanical behaviour of the bar: wave processes are observed under short-time loading, and continuous monotone ones are stated under long-term loads.Practical implicationsResearch results are applicable in the rocket and space industry.Originality/valueA new computer-based methodology for dynamic analysis of heterogeneous elastic-plastic bar-, rod-shaped structures under shock axial compressive loads is proposed.
Development of new modified electrode based on β-cyclodextrin for methylene blue detection
Authors: Ghodbane Ilhem , Zougar Saida , Lamari Rim , Kherrrat Rochdi 
Published: June 2020

Purpose
This paper aims to focus on the development and characterization of a new electrochemical sensor, designed for the detection of methylene blue present in aqueous medium.

Design/methodology/approach
This sensor is obtained through the coupling of a polymeric membrane and an ion-sensitive electrode (platinum electrode). The preparation of the polymeric membrane involves the incorporation of a receptor: β-cyclodextrin (β-CD), a polymer (polyvinylchloride) and a plasticizer (dioctylphtalate). Cyclic voltammetry method (CV) was used to investigate the electrical properties of this electrochemical sensor. The effect of the experimental parameters such as dye initial concentration, scan rate, interfering elements presence and additional Nafion membrane presence was investigated in this paper.

Findings
The results are interesting because the developed sensor gives a linear response in concentrations range of 10−13 M–10−3 M with a good correlation coefficient of 0.979 and a detection limit of 10−13 M, which reflects the sensitivity of this sensor to the target element. The sensibility value is equal to 2. 40 µA mol−1 L.

Originality/value
The present study has shown that the modified electrode is a very good candidate in terms of price, sensibility and reproducibility for the construction of the sensitive sensor for the control of wastewater containing methylene blue.
Investigation of input variables on temperature rise while end milling Al/SiC metal matrix composite
Authors: Sridhar Srinath , Sellamani Rajeswari 
Published: June 2020

Purpose
The purpose of this paper is to find out the optimal level as well as the influence of end mill cutter geometrical and machining parameters while machining metal matrix composite. End milling is carried out on Al 356/SiC metal matrix composites (MMC) using high-speed steel (HSS) end mill cutter. The optimum level of input parameters such as helix angle, nose radius, rake angle, cutting speed, feed rate and depth of cut are calculated for minimum temperature rise.

Design/methodology/approach
L27 Taguchi orthogonal design, signal-to-noise (S/N) ratio, are applied for conducting experiments, and to find the optimal level of input parameters for minimum temperature rise, respectively. Analysis of variance (ANOVA) is used to analyze the significance of input parameters on temperature rise.

Findings
It is found that the optimal combination of helix angle 400, nose radius 0.8 mm, rake angle 80, cutting speed 30 m/min, feed rate 0.04 mm/rev and depth of cut 0.5 mm have generated minimum temperature rise. From ANOVA analysis, it is found that rake angle influence is more on output performance followed by cutting speed and nose radius compared with other machining and geometrical parameters.

Originality/value
The influence of geometrical parameters such as helix angle, nose radius and rake angle of end mill cutter on temperature rise while machining MMC has not been explored previously.
Higher baseline serum lactate dehydrogenase level is associated with poor effectiveness of dupilumab in the long term in patients with atopic dermatitis
Authors: Kato Aika , Kamata Masahiro , Ito Makoto , Uchida Hideaki , Nagata Mayumi , Fukaya Saki , Hayashi Kotaro , Fukuyasu Atsuko , Tanaka Takamitsu , Ishikawa Takeko , Ohnishi Takamitsu , Tada Yayoi 
Published: June 2020

ABSTRACTDupilumab shows high efficacy and tolerable safety for the treatment of atopic dermatitis (AD). However, the extent of its effectiveness varies in individual patients. To date, practical predictors of later effectiveness of dupilumab in AD patients have not been reported. To explore practical predictors of later effectiveness of dupilumab in AD, we retrospectively investigated the correlation of baseline demographics and baseline laboratory results with the percentage reduction in Eczema Area and Severity Index (EASI) scores at 1, 3, 6 and 12 months after initiating dupilumab. Furthermore, multiple regression analyses were conducted. Data were collected from patients’ charts. Data on 54 Japanese adult patients (43 men and 11 women) with moderate to severe AD were analyzed. Baseline serum lactate dehydrogenase (LDH) level was negatively correlated with the percentage reduction in EASI score at 3, 6 and 12 months after initiating dupilumab but not at 1 month. Multiple regression analyses also revealed that effectiveness of dupilumab at 3 and 6 months was associated with lower baseline serum LDH level. AD patients with allergic diseases tended to have lower percentage reduction in EASI at 1 month, but had higher percentage reduction in EASI in the long term than patients without allergic diseases. In conclusion, higher baseline serum LDH level was associated with poor effectiveness of dupilumab in the long term in patients with AD. Furthermore, it tended to take a longer time for AD patients with allergic diseases to respond to dupilumab, and these patients responded better to dupilumab in the long term than patients without allergic diseases.
Floral biology and potential hybridization of three sympatric epiphytic bromeliads in Veracruz, Mexico
Authors: Ramírez‐Rosas Kareen , Aguirre‐Jaimes Armando , Ramírez‐Morillo Ivón M. , García‐Franco José G. 
Published: June 2020

AbstractIn the Bromeliaceae, hybrids have been engineered for horticultural purposes; in addition, hybrids have been observed in natural habitats. We investigated the hybridization potential of three sympatric species ofTillandsiainhabiting secondary forests and shaded coffee plantations in the central mountains of Veracruz, Mexico. The studied species (T. juncea,T. polystachiaandT. variabilis) show overlap in flowering phenology and are believed to share pollinators. We compared the floral morphology of the species, performed controlled intra‐ and interspecific pollinations, and recorded pollen tube growth, fruit and seed set, as well as seed germination. Flower size differed among the species, but stamen and stigma heights were similar between pairs of species, which would facilitate interspecific pollen exchange. Pollen tubes reached the ovary in interspecific crosses. The three species showed interspecific cross‐compatibility, as all crosses resulted in development of mature fruit and viable seeds.Tillandsia junceaachieved the highest fruit set, whereasT. variabilisshowed the highest seed set. Seed set as a result of agamospermy, autogamy, geitonogamy and interspecific cross‐pollination did not differ among the species. The findings suggest that pre‐ and post‐pollination barriers are weak among the three species ofTillandsia, which thus could potentially hybridize in natural sympatric populations.
Patient data work: filtering and sensing patient‐reported outcomes
Authors: Torenholt Rikke , Saltbæk Lena , Langstrup Henriette 
Published: June 2020

AbstractWith digital patient‐reported outcome (PRO) tools in clinical practice, patients are given new tasks of providing data that aim at supporting and individualising care, simultaneously reducing unnecessary clinical visits. While the innovative potential of mobilising PRO data for care is increasingly explored, little attention is given to the efforts that the provision of PRO data rests on – that of the patients. Based on ethnographic fieldwork carried out among cancer patients receiving PRO‐based follow‐up care, we argue that with the increased reliance on patient‐generated health data, we need to consider patients’ data work. Drawing on emerging literature on healthcare professionals’ data work and the rich work in sociology and Science and Technology Studies (STS) on patients’ active engagement in shaping and managing care, we conceptualise PRO patient data work as two simultaneous processes: the process of data filtering – patients filter information to fit the envisaged recipient and purpose; and the process of data sensing – patients evaluate their embodied experiences. By doing so, we show that patients’ data work has implications beyond simply providing data that represent their experiences.
Association of two polymorphisms Asp299Gly and Thr399Ile in Toll‐like receptor 4 with rheumatoid arthritis: A meta‐analysis
Authors: Yan Shunchao , Chen Haobo , Wang Zixian , Zhao Linshan 
Published: June 2020

AbstractOur meta‐analysis aims to evaluate the association of Asp299Gly and Thr399Ile with rheumatoid arthritis (RA) susceptibility and severity. By manually searching 3 electronic databases (PubMed, Embase and Web of Science), relevant articles were collected. After checking eligibility for every study, this meta‐analysis on eligible studies was performed under 5 genetic models: (1) allelic contrast; (2) heterozygous model; (3) homozygous model; (4) dominant model; (5) recessive model. In Spanish populations, a significantly decreased RA risk was identified in allelic comparison (odds ratio [OR] = 0.73, 95% CI 0.55 ~ 0.96) and dominant model (OR = 0.74, 95% CI 0.56 ~ 0.99) of Asp299Gly polymorphism. A trend of reduced risk was also observed under the heterozygous model (OR = 0.77, 95% CI 0.58 ~ 1.03). As for Thr399Ile, it might also have a protective effect on Spanish populations in allelic comparison (OR = 0.71, 95% CI 0.44 ~ 1.15). In contrast, for both Asp299Gly and Thr399Ile, a higher risk of RA was detected in Chinese Han populations. The frequency of both Asp299Gly and Thr399Ile increased in rheumatoid factor (RF)‐positive subjects in Chinese patients (Asp299Gly, RF+:RF− = 0.165:0.145; Thr399Ile, RF+:RF− = 0.170:0.161) and decreased in Spanish patients (Asp299Gly, RF+:RF− = 0.060:0.073; Thr399Ile, RF+:RF− = 0.046:0.056), but not to a statistically significant extent. Our meta‐analysis suggested that both Asp299Gly and Thr399Ile might have a protective effect on Spanish populations, but the 2 polymorphisms could act as a susceptible factor in Chinese Han populations. To confirm our results, further investigation concerning the functional impacts of Asp299Gly and Thr399Ile are still needed.
Emergency Department–initiated Interventions for Patients With Opioid Use Disorder: A Systematic Review
Authors: Kaczorowski Janusz , Bilodeau Jaunathan , M Orkin Aaron , Dong Kathryn , Daoust Raoul , Kestler Andrew 
Published: June 2020

AbstractObjectivesThe opioid crisis has risen dramatically in North America in the new millennium, due to both illegal and prescription opioid use. While emergency departments (EDs) represent a potentially strategic setting for interventions to reduce harm from opioid use disorder (OUD), the absence of a recent synthesis of literature limits implementation and scalability. To fill this gap, we conducted a systematic review of the literature on interventions targeting OUDs initiated in EDs.MethodsUsing an explicit search strategy (PROSPERO), the MEDLINE, CINAHL Complete, EMBASE, and EBM reviews databases were searched from 1980 to October 4, 2019. The gray literature was explored using Google Scholar. Study characteristics were abstracted independently. The methodologic quality and risk of bias were assessed.ResultsTwelve of 2,270 studies met the inclusion criteria (two of high quality). In addition to the heterogeneity of the outcome measures used (retention in treatment, opioid consumption, and overdose), brief intervention and buprenorphine initiation (six of 12 studies) were the most documented with mixed effects for the former and positive short‐term and confined to single ED sites effects for the latter.ConclusionEmergency departments can be an appropriate setting for initiating opioid agonist treatment, but to be sustained, it likely needs to be coupled with community‐based follow‐up and support to ensure longer‐term retention. The scarcity of high‐quality evidence on OUD interventions initiated in emergency settings highlights the need for future research.
Genome‐wide association study identifies variants associated with hair length in Brangus cattle
Authors: Sarlo Davila K. M. , Howell A. , Nunez A. , Orelien A. , Roe V. , Rodriguez E. , Dikmen S. , Mateescu R. G. 
Published: June 2020

SummaryThermal stress limits beef cattle production and a shorter hair coat is a key thermoregulative adaptation that allows cattle to lose heat more efficiently. The objective of this study was to identify genetic variants associated with the length of the undercoat and topcoat of cattle utilizing 1456 Brangus heifers genotyped with the Bovine GGP F250 array. Seven SNPs in the PCCA gene were significantly associated with undercoat length. PCCA belongs to the biotin transport and metabolism pathway. Biotin deficiency has been reported to cause hair loss. Four SNPs in an 110 kb including a missense mutation in the PRLR gene were significantly associated with topcoat length. Whereas the association of this polymorphism with hair length is novel, the SLICK mutation in PRLR has previously been demonstrated to significantly impact hair length in cattle. These newly detected genetic variants may contribute to a shorter hair coat and more thermotolerant animals.
Laparoscopic total mesorectal excision for rectal venous malformation: A case report with a brief literature review
Authors: Bhattacharjee Hemanga K. , Nariampalli Karthyarth Mithun , Suhani Suhani , Goyal Ankur , Das Nihar R. , Sharma Raju , Parshad Rajinder 
Published: June 2020

AbstractRectal vascular malformation is a rare disease on which few reports have been published. Here, we report the case of a 38‐year‐old woman who presented with severe weakness, dyspnea, and recurrent episodes of rectal bleeding. Her colonoscopy showed an extensive pigmented lesion in the lower rectum. CT angiography showed diffuse circumferential wall thickening of the rectum, perirectal fat stranding, tiny round foci of calcification, and no arterial feeders. Multiphasic MRI confirmed the diagnosis. The patient underwent a total mesorectal excision with hand‐sewn coloanal anastomosis. The venous malformation was confined to the mesorectal tissue. The avascular plane between the ectodermal and mesodermal tissue was well maintained. Blood loss was 200 mL. The patient has had no recurrence of disease in the 18 months since surgery. Although total mesorectal excision is described for rectal cancer, it may be indicated for benign disease like rectal vascular malformation to achieve complete removal of the disease and to minimize intraoperative blood loss.
Optimal transformation of species cover for vegetation classification
Authors: Tichý Lubomír , Hennekens Stephan M. , Novák Pavel , Rodwell John S. , Schaminée Joop H. J. , Chytrý Milan 
Published: June 2020

AbstractAimsVegetation‐plot sampling usually involves estimating species cover. For classifying plots to vegetation types, covers are often transformed to decrease the effect of dominant species. However, it remains unclear which transformation is optimal. We suggest that for vegetation classification, optimal is such transformation that contributes to creating clusters of plots in an unsupervised classification that are most similar to the widely accepted vegetation types, e.g., phytosociological associations. Here our aim is to find and recommend such optimal transformation by testing a range of transformation options against the national vegetation classifications of three European countries.LocationCzech Republic, The Netherlands, Great Britain.MethodsThree national datasets of vegetation plots with species cover information, classified to associations or community types of the respective national vegetation classification systems, were analysed. From each dataset, multiple subsets of plots were selected randomly, each subset representing a vegetation‐plot table containing several similar associations/community types. Species cover values in these subsets were subjected to various transformations (power transformation, logarithmic transformation and pseudo‐species cut levels). Then each subset was classified by an agglomerative classification method (beta‐flexible clustering with different beta values), and the classification was compared with the units of the national vegetation classification using the adjusted Rand index.ResultsPower transformations of percentage covers with an exponent between 0.3 and 0.6 produced the best match between the unsupervised classifications and the national vegetation classifications. This result did not depend on the classification method used. A similar degree of matching was achieved with some cut levels of pseudo‐species and with logarithmic transformation of percentage cover.ConclusionsIf an unsupervised classification of vegetation plots aims at defining vegetation types that are close to the phytosociological associations accepted in national vegetation classifications, the best transformation is close to the square‐root of percentage cover (i.e., power transformation with exponent 0.5).