bluuebunny/crossref_metadata_2025_split huggingface dataset:
An overview of textile and apparel business advances in Ethiopia
Authors: Khurana Karan 
Published: June 2018

Purpose
One of the oldest civilizations of Africa, Ethiopia is today at the advent of industrialization in various business sectors. Agriculture being a primary source of income (50 per cent of the GDP) is now transforming into more dynamic and new sectors. Textile and apparel is one of the sectors that has received a lot of attention from the government and the objective is to become sourcing destinations of the world. The purpose of the paper is to provide an overview of the current advances to the stakeholders, academia and industry from concept to the consumer. The aim of the paper is to present a transition of advances made in textile and apparel business that the country has made in the past decade and also to examine the potential of the consumer for this country. The consumer in the country is young and brings a lot of novel opportunities for textile and apparel industry.

Design/methodology/approach
This analysis is an empirical journey of the author’s research in academia and textile and apparel industry in Ethiopia.

Findings
This paper establishes a connection between the stakeholders, academia, industry and beneficiaries of this business so that it could become a guideline for future business investors. It also highlights the problems within this sector and provides a clear idea for domestic companies to compete with global competitors in terms of upcoming future business trends.

Originality/value
Presently, in the atmosphere of fashion and textiles, there is air about Ethiopia being the next manufacturing hub of the world in Africa. However, no academic literature is available which summarizes the opportunities and tasks in this industry, and this paper caters to the need of the hour.
Enhancing the performance of supplier involvement in new product development: the enabling roles of social media and firm capabilities
Authors: Cheng Colin C.J. , Krumwiede Dennis 
Published: June 2018

PurposeDrawing on complementarity theory, the purpose of this study is to posit that social media use enhances the effect of supplier involvement on new product development (NPD) performance, while two key firm capabilities further enhance the moderating effect of social media use: market and technological knowledge-processing capabilities.Design/methodology/approachTo test the hypotheses, the authors used a longitudinal survey of 367 firms, from seven major manufacturing industries: information technology (22.1 per cent), automotive industry (19.6 per cent), chemicals (18.2 per cent), textiles (13.3 per cent), machinery (12.5 per cent), energy (10.1 per cent) and others (4.1 per cent).FindingsThe results support the expectation that social media use and two firm capabilities (market and technological knowledge-processing capabilities) enhance the effect of supplier involvement on NPD performance in terms of product innovativeness, market performance and financial performance. Interestingly, post-hoc analyses indicate that supplier involvement has an inverted U-shaped relationship with product innovativeness. In addition, social media use not only strengthens the positive effect of, but also alleviates the negative effect of, supplier involvement in product innovativeness.Research limitations/implicationsThe findings of this study provide new evidence that supply chain members’ use of social media better enables them to enhance their innovation performance with supplier involvement.Practical implicationsThis study provides practical direction to help manufacturing managers enhance innovation performance outcomes of supplier involvement.Originality/valueThis study makes an original contribution to the supply chain literature by empirically demonstrating the key enablers that increase the efficacy of supplier involvement.
An improved diagnosis technique for breast cancer using LCFS and TreeHiCARe classifier model
Authors: Nagthane Deepika Kishor , Rajurkar Archana M. 
Published: June 2018

PurposeOne of the main reasons for increase in mortality rate in woman is breast cancer. Accurate early detection of breast cancer seems to be the only solution for diagnosis. In the field of breast cancer research, many new computer-aided diagnosis systems have been developed to reduce the diagnostic test false positives because of the subtle appearance of breast cancer tissues. The purpose of this study is to develop the diagnosis technique for breast cancer using LCFS and TreeHiCARe classifier model.Design/methodology/approachThe proposed diagnosis methodology initiates with the pre-processing procedure. Subsequently, feature extraction is performed. In feature extraction, the image features which preserve the characteristics of the breast tissues are extracted. Consequently, feature selection is performed by the proposed least-mean-square (LMS)-Cuckoo search feature selection (LCFS) algorithm. The feature selection from the vast range of the features extracted from the images is performed with the help of the optimal cut point provided by the LCS algorithm. Then, the image transaction database table is developed using the keywords of the training images and feature vectors. The transaction resembles the itemset and the association rules are generated from the transaction representation based ona priorialgorithm with high conviction ratio and lift. After association rule generation, the proposed TreeHiCARe classifier model emanates in the diagnosis methodology. In TreeHICARe classifier, a new feature index is developed for the selection of a central feature for the decision tree centered on which the classification of images into normal or abnormal is performed.FindingsThe performance of the proposed method is validated over existing works using accuracy, sensitivity and specificity measures. The experimentation of proposed method on Mammographic Image Analysis Society database resulted in classification of normal and abnormal cancerous mammogram images with an accuracy of 0.8289, sensitivity of 0.9333 and specificity of 0.7273.Originality/valueThis paper proposes a new approach for the breast cancer diagnosis system by using mammogram images. The proposed method uses two new algorithms: LCFS and TreeHiCARe. LCFS is used to select optimal feature split points, and TreeHiCARe is the decision tree classifier model based on association rule agreements.
Measuring the Rarity of Fingerprint Patterns in the Dutch Population Using an Extended Classification Set
Authors: de Jongh Arent , Lubach Anko R. , Lie Kwie Sheryl L. , Alberink Ivo 
Published: June 2018

AbstractLatent print examiners often use their experience and knowledge to reach a conclusion on the identity of the source. Their conclusion is primarily based on their personal opinion on the rarity of the matching fingerprint features. Fingerprint patterns, if present, can play a significant role in the final assessment of a match. The authors believe that statistical data on the rarity of fingerprint patterns strengthens the subjective evaluation of the corresponding information. In order to provide fingerprint examiners with additional numerical support, fingerprint patterns were manually classified in a set of 24,104 fingerprints. In this study the frequencies of occurrence of 35 different fingerprint patterns have been obtained. The frequency data presented in this study can be used in the ACE‐V process applied in forensic casework, allowing for the assessment of the evidential strength related to a specific fingerprint pattern type.
COMPETITION AND MEMORY IN AN EPHEBIC VICTOR LIST FROM HERACLEA PONTICA
Authors: KENNELL NIGEL M. 
Published: June 2018

AbstractAn inscription from Heraclea Pontica recording the names of victors in competitions in the city's gymnasium provides a glimpse into the activity and ideology of its citizen training system in the Roman period. Unusually for the time, several of the competitions are military in nature. In this article I present a new restoration of the text, which removes several anomalies in the published version, and explore the text's implications for our understanding of the later Greek ephebate.
A morphometric and stereological study on cervical spinal cord segment of goose
Authors: Çakmak Gamze , Karadağ Hüseyin , Ragbetli Murat Cetin , Yildirim Serkan , Yilmaz Osman 
Published: June 2018

AbstractIn this study, volume density of white matter and grey matter areas of cervical segment of spinal cord in adult geese weighing 3–4 kg was examined using stereological methods. 10 geese were used as material without sex discrimination. All animals underwent perfusion with 10% buffered formaldehyde. Following the perfusion, animals were kept in 10% formaldehyde for 1 week. Geese were then dissected. Cervical area of spinal cord was revealed removing cervical spine. Tissue samples were obtained from each segment of cervical area. 5 μm thick cross‐sections were taken from these tissue samples via microtome. Series of cross‐sections were obtained by sampling in the ratio of 1/250 including 12 cross‐sections from each cervical segment of every animal. Cross‐sections were stained by haematoxylin eosin. They were photographed under microscope. Volume density (volume fractions) of both whole tissue and white matter and grey matter parts in each cervical segment of spinal cord were calculated using Cavalieri’s Principle. In the study, total volume of cervical segment, volume of white matter and grey matter, and ratios of these volumes one another were assessed in goose.
Intranasal administration of probiotic Lactobacillus rhamnosus GG prevents birch pollen‐induced allergic asthma in a murine model
Authors: Spacova I. , Petrova M. I. , Fremau A. , Pollaris L. , Vanoirbeek J. , Ceuppens J. L. , Seys S. , Lebeer S. 
Published: June 2018

AbstractBackgroundThere is an increasing interest in targeted application of probiotic bacteria for prevention and treatment of airway diseases, including allergies. Here, we investigated the beneficial effects of preventive intranasal treatment with probiotics Lactobacillus rhamnosus GG and L. rhamnosus GR‐1 in a mouse model of allergic asthma.MethodsLactobacillus rhamnosus was administered intranasally eight times on days 1‐4 and 8‐11 at 5 × 108 CFU/dose, followed by a 2‐week asthma induction protocol with birch pollen extract on alternating days. Effects of preventive treatment were analyzed based on serum antibody levels, bronchoalveolar lavage cell counts, lung histology, lung cytokine levels, and airway hyperreactivity. Colonization and translocation of L. rhamnosus were assessed by bacterial cell counts in nasal mucosa, fecal samples, cervical lymph nodes, and blood. Binding of fluorescent L. rhamnosus to fixed murine nasal mucosal cells and airway macrophages was visualized by fluorescence microscopy.ResultsTransient colonization of the murine upper airways by L. rhamnosus GG was demonstrated and was approximately ten times higher compared to L. rhamnosus GR‐1. Marked binding of fluorescent L. rhamnosus GG to murine nasal mucosal cells and airway macrophages was visualized. Preventive treatment with L. rhamnosus GG (but not L. rhamnosus GR‐1) resulted in a significant decrease in bronchoalveolar lavage eosinophil counts, lung interleukin‐13 and interleukin‐5 levels, and airway hyperreactivity. A tendency toward a decrease in serum Bet v 1‐specific immunoglobulin G1 was likewise observed.ConclusionIntranasally administered L. rhamnosus GG prevents the development of cardinal features of birch pollen‐induced allergic asthma in a strain‐specific manner.
A fast algorithm for univariate log‐concave density estimation
Authors: Liu Yu , Wang Yong 
Published: June 2018

SummaryA new fast algorithm for computing the nonparametric maximum likelihood estimate of a univariate log‐concave density is proposed and studied. It is an extension of the constrained Newton method for nonparametric mixture estimation. In each iteration, the newly extended algorithm includes, if necessary, new knots that are located via a special directional derivative function. The algorithm renews the changes of slope at all knots via a quadratically convergent method and removes the knots at which the changes of slope become zero. Theoretically, the characterisation of the nonparametric maximum likelihood estimate is studied and the algorithm is guaranteed to converge to the unique maximum likelihood estimate. Numerical studies show that it outperforms other algorithms that are available in the literature. Applications to some real‐world financial data are also given.
Parental severity assessment predicts supportive care in infant bronchiolitis
Authors: Gjengstø Hunderi Jon Olav , Lødrup Carlsen Karin C. , Rolfsjord Leif Bjarte , Carlsen Kai‐Håkon , Mowinckel Petter , Skjerven Håvard Ove 
Published: June 2018

AbstractAimIn infants with acute bronchiolitis, the precision of parental disease severity assessment is unclear. We aimed to determine if parental assessment at the time of hospitalisation predicted the use of supportive care, and subsequently determine the likelihood that the infant with acute bronchiolitis would receive supportive care.MethodsFrom the Bronchiolitis ALL south‐east Norway study, we included all 267, 0–12 month old, infants with acute bronchiolitis whose parents at the time of hospitalisation completed a three‐item visual analogue scale (VAS) concerning Activity, Feeding and Illness. Respiratory rate, oxygen saturation (SpO2) and use of supportive care were recorded daily. By multivariate logistic regression analyses we included significant predictors available at hospital admission to predict the use of supportive care.ResultsThe parental Activity, Feeding and Illness VAS scores significantly predicted supportive care with odds ratios of 1.23, 1.26 and 1.36, respectively. The prediction algorithm included parental Feeding and Illness scores, SpO2, gender and age, with an area under the curve of 0.76 (95% CI 0.69, 0.81). A positive likelihood ratio of 2.1 gave the highest combined sensitivity of 81% and specificity of 61%.ConclusionParental assessment at hospital admission moderately predicted supportive care treatment in infants with acute bronchiolitis.
Questionnaire‐based study showed that neonatal chest radiographs could be reliably interpreted using the WhatsApp messaging application
Authors: Gross Itai , Langer Yshia , Pasternak Yehonatan , Abu Ahmad Wiessam , Eventov‐Friedman Smadar , Koplewitz Benjamin Z. 
Published: June 2018

AbstractAimWe surveyed whether clinicians used the WhatsApp messaging application to view neonatal chest radiographs and asked a sub‐sample to compare them with computer screen viewings.MethodsThe study was conducted at three university‐affiliated medical centres in Israel from June–December 2016. Questionnaires on using smartphones for professional purposes were completed by 68/71 paediatric residents and 20/28 neonatologists. In addition, 11 neonatologists viewed 20 chest radiographs on a computer screen followed by a smartphone and 10 viewed the same radiographs in the opposite order, separated by a washout period of 2 months. After another 2 months, five from each group viewed the same radiographs on a computer screen. Different interpretations between viewing modes were assessed.ResultsMost respondents used WhatsApp to send chest radiographs for consultation: 82% of the paediatric residents and 80% of the neonatologists. The mean number of inconsistencies in diagnosis was 3.7/20 between two computer views and 2.9/20 between computer and smartphone views (p = 0.88) and the disease severity means were 3.7/20 and 2.85/20, respectively (p = 0.94). Neonatologists using WhatsApp only determined umbilical line placement in 80% of cases.ConclusionWhatsApp was reliable for preliminary interpretation of neonatal chest radiographs, but caution was needed when assessing umbilical lines.
Effect of vitrification procedures on the subsequent development of in vitro matured swamp buffalo oocytes following in vitro fertilization
Authors: Liang Yuan Yuan , Parnpai Rangsun 
Published: June 2018

AbstractNowadays, the efficiency of buffalo oocytes cryopreservation is still low. The purpose of this study was to evaluate effects of two combinations of cryoprotectant agents (CPAs) and two vitrification devices for vitrification of swamp buffalo oocytes on their survival after vitrification warming, and subsequent developmental ability after in vitro fertilization. In vitro matured (IVM) oocytes were vitrified by either Cryotop (CT) or solid surface vitrification (SSV) interacting with vitrification solution A (VA) or B (VB). In the VA or VB solution exposed test, the oocytes showed similar survival rates, but decreased blastocyst rates after in vitro fertilization compared with that of untreated oocytes. After vitrification, the CT method combined with VA solution yielded a higher survival rate (91.3 ± 5.84%) of vitrified oocytes than that combined with VB solution (69.8 ± 4.19%–75.8 ± 4.55%); however, all the vitrification treatments showed lower blastocyst rates (1.1 ± 0.07%–5.2 ± 0.24%) compared with that of untreated oocytes (18.0 ± 1.09%). Our results indicated that combined vitrification treatments in this study did not improve the decreased ability of vitrified oocytes developing to the blastocyst stage.
Innate Immune System Status of Sulphur Mustard‐Poisoned Iranian Veterans Three Decades after Exposure
Authors: Riahi‐Zanjani Bamdad , Balali‐Mood Mahdi , Mahmoudi Mahmoud , Sadeghi Mahmood 
Published: June 2018

AbstractSulphur mustard (SM) is an incapacitating chemical warfare agent which causes acute and chronic toxicities in different body organs of affected individuals. The aim of this study was to investigate the innate immune status of the Iranian veterans who were exposed to SM around 30 years earlier and had more than 25% disabilities. In this regard, most functional and non‐functional parameters of innate immunity were evaluated in 35 veterans. Phagocytic activity, nitroblue tetrazolium (NBT) reduction assay and haemolytic complement activity (HCA) in addition to routine haematological parameters, serum protein electrophoresis, complements C3 and C4 levels were studied. Measures of haematological parameters, serum proteins, C3 and C4 were almost within the normal range. Functional experiments such as phagocytic activity, NBT reduction assay and HCA were normal as well. However, serum protein analysis revealed a fair decrease in percentages of α1‐globulin. Mean values of the parameters of innate immune system of the veterans three decades after SM poisoning were almost within the upper and lower normal limits. Reduced α1‐globulin – maybe subsequent to a chain of SM‐induced genetic disorders – may have been the result of α1‐antitrypsin deficiency which may result in prevalent respiratory complications among these veterans. As a supplementary study, measurement of serum α1‐antitrypsin in SM‐poisoned veterans could be beneficial. Further studies are required to prove this hypothesis. Further investigations on the evaluation of the acquired immunity parameters as the second line of defence may reveal a better understanding of SM veterans’ immune system status.
Bonus Effects of Antidiabetic Drugs: Possible Beneficial Effects on Endothelial Dysfunction, Vascular Inflammation and Atherosclerosis
Authors: Pereira Camila A. , Carneiro Fernando S. , Matsumoto Takayuki , Tostes Rita C. 
Published: June 2018

AbstractDiabetes currently affects more than 400 million people worldwide. This metabolic disorder causes various micro‐ and macrovascular complications that accelerate atherosclerosis and yet trigger other cardiovascular diseases. The characteristic frame of hyperglycaemia, hyperinsulinaemia and hyperlipidaemia in diabetes increases several inflammatory mediators leading to endothelial dysfunction and pro‐atherosclerotic processes. This MiniReview summarizes evidence that antidiabetic drugs have effects beyond lowering glycaemic levels. In experimental studies, antidiabetic drugs reduce the vascular production and release of pro‐inflammatory cytokines, the recruitment, infiltration and activation of immune cells and pro‐inflammatory mediators, thus decreasing vascular inflammatory responses; they also re‐establish vascular redox homeostasis by reducing oxidative stress and balancing the release of vasoconstrictor and vasodilator factors, hence contributing to the improvement of endothelial function. These effects are associated with a reduction in vascular remodelling due to decreased matrix metalloproteinases expression/activity, reduced inflammatory processes and vascular wall fibrosis. In clinical studies, antidiabetic drugs also reduce the production and release of pro‐inflammatory, pro‐atherosclerotic and pro‐oxidative mediators and improve flow‐mediated dilatation, indicating beneficial effects on endothelial function. These bonus effects of antidiabetic drugs may delay and/or reduce the installation and development of the atherosclerotic disease, decrease cardiovascular risk and possibly impact mortality risk, life expectancy and quality.
Overcoming difficulties with equipoise to enable recruitment to a randomised controlled trial of partial ablation vs radical prostatectomy for unilateral localised prostate cancer
Authors: Elliott Daisy , Hamdy Freddie C. , Leslie Tom A. , Rosario Derek , Dudderidge Tim , Hindley Richard , Emberton Mark , Brewster Simon , Sooriakumaran Prasanna , Catto James W.F. , Emara Amr , Ahmed Hashim , Whybrow Paul , le Conte Steffi , Donovan Jenny L. 
Published: June 2018

ObjectiveTo describe how clinicians conceptualised equipoise in the PART (Partial prostate Ablation vs Radical prosTatectomy in intermediate‐risk unilateral clinically localised prostate cancer) feasibility study and how this affected recruitment.Subjects and MethodsPART included a QuinteT Recruitment Intervention (QRI) to optimise recruitment. Phase I aimed to understand recruitment, and included: scrutinising recruitment data, interviewing the trial management group and recruiters (n = 13), and audio‐recording recruitment consultations (n = 64). Data were analysed using qualitative content and thematic analysis methods. In Phase II, strategies to improve recruitment were developed and delivered.ResultsInitially many recruiters found it difficult to maintain a position of equipoise and held preconceptions about which treatment was best for particular patients. They did not feel comfortable about approaching all eligible patients, and when the study was discussed, biases were conveyed through the use of terminology, poorly balanced information, and direct treatment recommendations. Individual and group feedback led to presentations to patients becoming clearer and enabled recruiters to reconsider their sense of equipoise. Although the precise impact of the QRI alone cannot be determined, recruitment increased (from a mean [range] of 1.4 [0–4] to 4.5 [0–12] patients/month) and the feasibility study reached its recruitment target.ConclusionAlthough clinicians find it challenging to recruit patients to a trial comparing different contemporary treatments for prostate cancer, training and support can enable recruiters to become more comfortable with conveying equipoise and providing clearer information to patients.