bluuebunny/crossref_metadata_2025_split huggingface dataset:
Determinants of rural livelihood interventions: an ISM-MICMAC approach
Authors: Kumar Shubham , Giri Tapas Kumar , Gogoi Bidyut Jyoti 
Published: December 2019

PurposeLivelihood interventions are recognized as instruments to deliver sustainable development by addressing multidimensional issues of poverty. Despite several interventions, success still remains trivial due to various interactive determinants. The purpose of this paper is to present the hierarchical model of determinants of rural livelihood interventions in India.Design/methodology/approachThis study adopts interpretive structural modelling (ISM) approach to explore the interactive relationships among determinants. Then, by using the Matrice d’ Impacts Croises - Multipication Applique a classement (MICMAC) approach, these determinants are classified into four groups on the basis of their driving power and dependence power.FindingsThe research findings include identification of nine critical determinants using hybrid research process. These nine determinants are classified into four distinct levels revealing different extents of influence on livelihood outcomes. The results show that strong emphasis should be given to local institutions and enclosing institutional environment in terms of good governance and better convergence.Practical implicationsThe research findings offer insights for policy-makers on the hierarchical model among determinants. The study will help to close the existing dominant gap between theory and practice and imply corresponding methods and processes to deliver better livelihood outcomes.Originality/valueThis study contributes to policy literature by providing a structural model for interventions. This model identifies the dominant as well as mediating determinants and thereby guides policymakers to develop corresponding instruments and strategies. The study also contributes to rural development literature by identifying various interactive contextual relationships and thereby classifying the high priority determinants.
Firesetters with intellectual disabilities in Denmark
Authors: Holst Søren , Lystrup Dorte , Taylor John L. 
Published: December 2019

PurposeThe purpose of this paper is to gather epidemiologicalinformation concerning firesetters with intellectual disabilities (ID) in Denmark to identify the assessment and treatment needs of this population and inform further research in this area.Design/methodology/approachThe records held by the Danish Ministry of Justice concerning all firesetters with ID convicted of deliberate firesetting were reviewed for the period January 2001 to December 2010 inclusive. File information was extracted for 83 offenders concerning: demographic and personal characteristics; mental health characteristics; offending behaviour; offence-specific factors; and motives for offending. A sub-group of seven offenders were interviewed to explore some of the themes that emerged from the file review.FindingsThe majority of study participants were male and were classified as having mild ID and around 50 per cent had additional mental health problems. Many came from disturbed and deprived backgrounds. Two-thirds had set more than one fire and over 60 per cent had convictions for offences other than firesetting. Alcohol was involved in the firesetting behaviour in a significant proportion of cases (25 per cent). The motives for setting fires were – in descending order – communication (of anger, frustration and distress), fire fascination and vandalism. Interviews with participants indicated the important communicative function of firesetting, the difficulties people had in talking about and acknowledging their firesetting behaviour, and lack of access to targeted interventions.Research limitations/implicationsInterventions for Danish firesetters with ID, as for firesetters with ID elsewhere, need to target the communicative function of this behaviour, along with offenders’ lack of insight and initial reluctance to accept responsibility for their behaviour and associated risks. Adjunctive treatment is required to address the psychiatric comorbidity experienced by many of these offenders, along with the alcohol use/misuse that is associated with many of these offences.Originality/valueThis is the first study concerning nature and needs of firesetters with ID in Denmark.
Queueing analysis for operations modeling in port logistics
Authors: Legato Pasquale , Mazza Rina Mary 
Published: December 2019

Purpose
The use of queueing network models was stimulated by the appearance (1975) of the exact product form solution of a class of open, closed and mixed queueing networks obeying the local balance principle and solved, a few years later, by the popular mean value analysis algorithm (1980). Since then, research efforts have been produced to approximate solutions for non-exponential services and non-pure random mechanisms in customer processing and routing. The purpose of this paper is to examine the suitability of modeling choices and solution approaches consolidated in other domains with respect to two key logistic processes in container terminals.

Design/methodology/approach
In particular, the analytical solution of queueing networks is assessed for the vessel arrival-departure process and the container internal transfer process with respect to a real terminal of pure transshipment.

Findings
Numerical experiments show the extent to which a decomposition-based approximation, under fixed or state-dependent arrival rates, may be suitable for the approximate analysis of the queueing network models.

Research limitations/implications
The limitation of adopting exponential service time distributions and Poisson flows is highlighted.

Practical implications
Comparisons with a simulation-based solution deliver numerical evidence on the companion use of simulation in the daily practice of managing operations in a finite-time horizon under complex policies.

Originality/value
Discussion of some open modeling issues and encouraging results provide some guidelines on future research efforts and/or suitable adaption to container terminal logistics of the large body of techniques and algorithms available nowadays for supporting long-run decisions.
A united front against marine invaders: Developing a cost‐effective marine biosecurity surveillance partnership between government and industry
Authors: McDonald Justin I. , Wellington Claire M. , Coupland Grey T. , Pedersen Dan , Kitchen Brad , Bridgwood Samantha D. , Hewitt Matthew , Duggan Roger , Abdo David A. 
Published: December 2019

Abstract

Successful detection of introduced marine pests (IMP) relies upon effective surveillance. However, the expedience of responding following IMP detection is often dependent upon the relationship between regulators and stakeholders.

Effective detection of IMP in areas such as commercial ports requires a collaborative approach, as port environments can be highly complex both above and below the water. This complexity can encompass physical, logistical, safety and legislative issues. With this in mind, the aquatic pest biosecurity section within the Department of Primary Industries and Regional Development (DPIRD) developed the State‐Wide Array Surveillance Program (SWASP) in collaboration with Western Australian Port Authorities and port industry stakeholders.

The SWASP is primarily based on passive settlement arrays for IMP detection. Arrays are deployed at strategic locations within Ports. Marine growth samples collected from the arrays are processed using Next‐Generation Sequencing (NGS) to identify the presence of IMP within a specific geographical location.

Over 8 years, participation in SWASP has grown from 3 to 11 ports, spanning over 11,000 km, from the tropical north to temperate south of Western Australia. The programme has proven to be highly effective as a means of fostering stakeholder involvement and, importantly for IMP surveillance. The growth and success of SWASP has continued primarily because of the commitment and farsightedness of the ports involved. The regular presence of the biosecurity regulator as a partner in SWASP has provided a consistent face for biosecurity and fostered good stakeholder relationships, ensuring there is a reliable and effective ongoing marine surveillance programme for the state.

Synthesis and applications. Through a united and collaborative approach to marine biosecurity surveillance, port authorities, industry and biosecurity regulators have developed the State‐Wide Array Surveillance Program (SWASP) and closed a major gap in biosecurity surveillance. The SWASP collaboration uses passive settlement arrays and molecular analyses to provide regular marine pest surveillance from the tropics to temperate regions of Western Australia. The continued commitment has embedded valuable relationships between stakeholder and regulator ensuring ongoing surveillance in marine biosecurity for the state. The Western Australian SWASP example has inspired other jurisdictions around Australia to develop similar collaborative approaches which will have far‐reaching marine biosecurity benefits.
The development and use of Actiphage® to detect viable mycobacteria from bovine tuberculosis and Johne’s disease‐infected animals
Authors: Swift Benjamin M. C. , Meade Nathan , Barron Elsa Sandoval , Bennett Malcolm , Perehenic Tania , Hughes Valerie , Stevenson Karen , Rees Catherine E. D. 
Published: December 2019

SummaryHere, we describe the development of a method that exploits bacteriophage D29 as a lysis agent for efficient DNA extraction from low numbers of mycobacterial cells. This method (Actiphage®) used in combination with PCR achieved rapid and sensitive (LOD ≤ 10 cell ml−1) detection and identification of viable, pathogenic mycobacteria in blood samples within 6 h. We demonstrate that mycobacteriophage D29 can be used to detect a range of mycobacteria from clinical blood samples including both Mycobacterium tuberculosis complex and Mycobacterium avium subsp. paratuberculosis without the need for culture and confirms our earlier observations that a low‐level bacteraemia is associated with these infections in cattle. In a study of M. bovis‐infected cattle (n = 41), the sensitivity of the Actiphage® method was 95 % (95 % CI; 0.84–0.99) and specificity was 100 % (95% CI; 0.92–1). We further used Actiphage® to demonstrate viable Mycobacterium avium subsp. paratuberculosis is present in the blood of Johne’s infected cattle. This method provides a revolutionary new tool for the study of infections caused by these difficult to grow pathogens.
The joint information role of analysts’ cash flow and earnings forecasts
Authors: Dhole Sandip , Gul Ferdinand A. , Mishra Sagarika , Pal Ananda M. 
Published: December 2019

AbstractWe study whether the relative magnitudes of analysts’ cash flow and earnings forecasts convey information about the persistence and value relevance of reported earnings. We find that reported earnings are likely to be more (less) persistent and value relevant when analysts forecast relatively moderate (extreme) levels of operating cash flows, relative to earnings. We also find that the market’s response to a given earnings surprise is the strongest for moderate levels of cash flow forecasts relative to earnings. The joint information role of analysts’ cash flow and earnings forecasts persists even after controlling for the absolute accruals in the model.
Genetic investigation of equine recurrent uveitis in Appaloosa horses
Authors: Rockwell H. , Mack M. , Famula T. , Sandmeyer L. , Bauer B. , Dwyer A. , Lassaline M. , Beeson S. , Archer S. , McCue M. , Bellone R. R. 
Published: December 2019

SummaryEquine recurrent uveitis (ERU) is characterized by intraocular inflammation that often leads to blindness in horses. Appaloosas are more likely than any other breed to develop insidious ERU, distinguished by low‐grade chronic intraocular inflammation, suggesting a genetic predisposition. Appaloosas are known for their white coat spotting patterns caused by the leopard complex spotting allele (LP) and the modifierPATN1. A marker linked toLPon ECA1 and markers near MHC on ECA20 were previously associated with increased ERU risk. This study aims to further investigate these loci and identify additional genetic risk factors. A GWAS was performed using the Illumina Equine SNP70 BeadChip in 91 horses. Additive mixed model approaches were used to correct for relatedness. Although they do not reach a strict Bonferroni genome‐wide significance threshold, two SNPs on ECA1 and one SNP each on ECA12 and ECA29 were among the highest ranking SNPs and thus warranted further analysis (P = 1.20 × 10−5,P = 5.91 × 10−6,P = 4.91 × 10−5,P = 6.46 × 10−5). In a second cohort (n = 98), only an association with theLPallele on ECA1 was replicated (P = 5.33 × 10−5). Modeling disease risk withLP, age and additional depigmentation factors (PATN1genotype and extent of roaning) supports an additive role forLPand suggests an additive role forPATN1. Genotyping forLPandPATN1may help predict ERU risk (AUC = 0.83). The functional role ofLPandPATN1in ERU development requires further investigation. Testing samples across breeds with leopard complex spotting patterns and a denser set of markers is warranted to further refine the genetic components of ERU.
First‐in‐human phase I study of E7090, a novel selective fibroblast growth factor receptor inhibitor, in patients with advanced solid tumors
Authors: Koyama Takafumi , Shimizu Toshio , Iwasa Satoru , Fujiwara Yutaka , Kondo Shunsuke , Kitano Shigehisa , Yonemori Kan , Shimomura Akihiko , Iizumi Sakura , Sasaki Tatsuya , Furuse Junji , Yamamoto Noboru 
Published: December 2019

AbstractFibroblast growth factor receptors (FGFR) are a family of transmembrane receptor tyrosine kinases involved in regulating cellular processes. FGFR mutations are implicated in oncogenesis, representing therapeutic potential in the form of FGFR inhibitors. This phase I, first‐in‐human study in Japan evaluated safety and tolerability of E7090, a potent selective FGFR1‐3 inhibitor, in patients with advanced solid tumors. Dose escalation (daily oral dose of 1‐180 mg) was carried out to assess dose‐limiting toxicity (DLT), maximum tolerated dose, and pharmacokinetics. Pharmacodynamic markers (serum phosphate, fibroblast growth factor 23, and 1,25‐(OH)2‐vitamin D) were also evaluated. A total of 24 patients refractory to standard therapy or for whom no appropriate treatment was available were enrolled. No DLT were observed up to the 140‐mg dose; one patient in the 180‐mg cohort experienced a DLT (increased aspartate aminotransferase/alanine aminotransferase, grade 3). The maximum tolerated dose was not reached. Dose‐dependent increases in the maximum concentration and area under the curve from time 0 to the last measurable concentration were observed up to 180 mg. Dose‐dependent increases were observed in all pharmacodynamic markers and plateaued at 100‐140 mg, indicating sufficient FGFR pathway inhibition at doses ≥100 mg. In conclusion, E7090 showed a manageable safety profile with no DLT at doses ≤140 mg. Maximum tolerated dose was not determined. The recommended dose for the follow‐up expansion part, restricted to patients with tumors harboring FGFR alterations, was determined as 140 mg, once daily.
Reference range and cutoff value of serum inhibin B to predict successful sperm retrieval: A cross‐sectional study of 30 613 Chinese men
Authors: Wang Jian , Lu Na , Zhang Shuolei , Tang Zhangming , Huang Yifei , Li Weina , Liu Gang 
Published: December 2019

AbstractBackgroundThe power of inhibin B to predict competent spermatogenesis is not fully understood. The aims of this study were to identify the reliable reference range of inhibin B among normozoospermic men in China and to evaluate the diagnostic accuracy of serum inhibin B level as a complementary predictor of successful sperm retrieval in patients with azoospermia.MethodsThis was a cross‐sectional study. The male partners of 30 613 infertile couples who visited our hospital were investigated between March 2017 and March 2019. We analysed semen parameters, serum levels of reproductive hormones (inhibin B, FSH and testosterone) and sperm retrieval results from PESA/TESE in Chinese men.ResultsThe normal reference range of inhibin B was 87.42‐299.93 pg/mL among men with normozoospermia in China. Inhibin B levels were negatively correlated with age (r = −.111; P < .001) but positively correlated with total sperm counts in the overall population, reference group and case group (r = .311, r = .208 and r = .444, respectively; P < .001). Stepwise multiple regression analyses revealed that compared with the FSH and testosterone levels, the inhibin B level had the closest relationship with the total sperm count. The best cutoff value of inhibin B for predicting the retrieval outcome of testicular/epididymal sperm was >77.72 pg/mL (sensitivity = 59.14%, specificity = 92.00% and AUC = 0.801). The inhibin B:FSH ratio (cutoff value > 6.98, sensitivity = 56.99%, specificity = 96.00% and AUC = 0.814) performed better than either the inhibin B level or the FSH level alone.ConclusionA new reference range for serum inhibin B was established in China. However, neither serum inhibin B, FSH nor their ratio is adequate for men to decide whether to undergo PESA/TESE to determine the adequacy of spermatogenesis.
Hand eczema treatment: Change behaviour with text messaging, a randomized trial
Authors: Erdil Duygu , Koku Aksu Ayşe E. , Falay Gür Tuğba , Gürel Mehmet S. 
Published: December 2019

AbstractBackgroundIrritant contact dermatitis is the most common type of hand eczema. Effective treatment usually involves avoidance of irritants and use of appropriate topical medication. In this study, the effectiveness of using text messaging addressing preventive behaviours and appropriate medication adherence was evaluated.MethodsPatients who were admitted to Istanbul Training and Research Hospital Dermatology Department March 1, 2015 to July 31, 2015, and diagnosed with hand eczema were enrolled. Patients were randomly divided into the SMS group and the non‐SMS group. Text messages were sent to the mobile phones of the patients in the SMS group. Severity of hand eczema, compliance to treatment, patients' information level, adherence to preventive behaviours, and the protective behaviour score were evaluated at baseline, and at the 4th and 8th week.ResultsEighty‐one patients with hand eczema were included in the study. After 8 weeks, the decrease in the Hand Eczema Severity Index score was 70.2% (SD 35.2) in the SMS group and 38.9% (SD 67.7) in the non‐SMS group (P = .017). Sending SMS to patients increased the use of moisturizer. There was no statistically significant difference in other behaviours.ConclusionThis study demonstrated that text messaging improves the treatment success and specifically the frequency of moisturizer use in patients with hand eczema.
Identification of Susceptibility Genes to Allergic Rhinitis by Gene Expression Data Sets
Authors: Xue Kai , Yang Jingpu , Zhao Yin , Cheng Jinzhang , Wang Zonggui 
Published: December 2019

As an extremely prevalent disease worldwide, allergic rhinitis (AR) is a condition characterized by chronic inflammation of the nasal mucosa. To identify the finer molecular mechanisms associated with the AR susceptibility genes, differentially expressed genes (DEGs) in AR were investigated. The DEG expression and clinical data of the GSE19187 data set were used for weighted gene co‐expression network analysis (WGCNA). After the modules related to AR had been screened, the genes in the module were extracted for Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, whereby the genes enriched in the KEGG pathway were regarded as the pathway‐genes. The DEGs in patients with AR were subsequently screened out from GSE19187, and the sensitive genes were identified in GSE18574 in connection with the allergen challenge. Two kinds of genes were compared with the pathway‐genes in order to screen the AR susceptibility genes. Receiver operating characteristic (ROC) curve was plotted to evaluate the capability of the susceptibility genes to distinguish the AR state. Based on the WGCNA in the GSE19187 data set, 10 co‐expression network modules were identified. The correlation analyses revealed that the yellow module was positively correlated with the disease state of AR. A total of 89 genes were found to be involved in the enrichment of the yellow module pathway. Four genes (CST1, SH2D1B, DPP4, and SLC5A5) were upregulated in AR and sensitive to allergen challenge, whose potentials were further confirmed by ROC curve. Taken together, CST1, SH2D1B, DPP4, and SLC5A5 are susceptibility genes to AR.
Distribution and small‐scale spread of the invasive weed Solanum carolinense in Austria
Authors: Follak S. 
Published: December 2019

Solanum carolinense is a perennial herb native to the United States which was accidentally introduced to Austria over 20 years ago. In this study, the current distribution of S. carolinense in Austria and its local spread dynamics in a selected agricultural area have been evaluated based on a literature search and a survey carried out in 2019. The species is an example of an invasive weed that is currently still rare in Austria as its distribution is restricted to southern Austria with only nine occupied grid cells. This corresponds to 0.3 % of all grid cells (n = 2625) in Austria. However, the clustered appearance of the occupied grid cells and the small‐scale spread observed within grid cells indicate an incipient spread. Thus, it can be assumed that the species will likely expand its range in Austria and beyond. It is therefore of importance to further survey S. carolinense and to observe its appearance in new areas in particular by raising awareness among farmers and agricultural advisors.
A novel end‐to‐end deep learning scheme for classifying multi‐class motor imagery electroencephalography signals
Authors: Hassanpour Ahmad , Moradikia Majid , Adeli Hojjat , Khayami Seyed Raouf , Shamsinejadbabaki Pirooz 
Published: December 2019

AbstractAn important subfield of brain–computer interface is the classification of motor imagery (MI) signals where a presumed action, for example, imagining the hands' motions, is mentally simulated. The brain dynamics of MI is usually measured by electroencephalography (EEG) due to its noninvasiveness. The next generation of brain–computer interface systems can benefit from the generative deep learning (GDL) models by providing end‐to‐end (e2e) machine learning and increasing their accuracy. In this study, to exploit the e2e‐property of deep learning models, a novel GDL methodology is proposed where only minimal objective‐free preprocessing steps are needed. Furthermore, to deal with the complicated multi‐class MI–EEG signals, an innovative multilevel GDL‐based classifying scheme is proposed. The effectiveness of the proposed model and its robustness against noisy MI–EEG signals is evaluated using two different GDL models, that is, deep belief network and stacked sparse autoencoder in e2e manner. Experimental results demonstrate the effectiveness of the proposed methodology with improved accuracy compared with the widely used filter bank common spatial patterns algorithm.