bluuebunny/crossref_metadata_2025_split huggingface dataset:
Rapid Generation of Medical Countermeasure Candidates Via Computational Variation Analysis
Authors: Ricke Darrell O. 
Published: April 2019

AbstractRapid responses to emerging infectious diseases are needed for viral and bacterial pathogens. For some pathogens, no medical countermeasures (MCMs) yet exist. Pathogen heterogeneity and antigenic variation lead to immune response escape mutations for some pathogens (e.g., influenza) limiting the effectiveness of medical countermeasures. High throughput sequencing enables characterization of large numbers of pathogen isolates to which residue variation analysis can be applied to identify low variability targets. Multiple approaches are proposed that leverage these low variability targets as the first step of medical countermeasure development. Classes of MCMs informed by this approach include the following: DNA or RNA vaccines, both B-cell and T-cell vaccination strategies, anti-viral RNA targeting, antibody therapeutics, and aptamer targeting of viral protein complex interfaces as potential treatment strategies for infected individuals. Variation analysis-designed countermeasures targeting the Ebola glycoprotein are presented to illustrate the concepts for the proposed multiple targeted countermeasures.
A Proteomic Atlas of Senescence-Associated Secretomes for Aging Biomarker Development
Authors: Basisty Nathan , Kale Abhijit , Jeon Okhee H , Kuehnemann Chisaka , Payne Therese , Rao Chirag , Holtz Anja , Shah Samah , Sharma Vagisha , Ferrucci Luigi , Campisi Judith , Schilling Birgit 
Published: April 2019

AbstractThe senescence-associated secretory phenotype (SASP) has recently emerged as a driver of, and promising therapeutic target for, multiple age-related conditions, ranging from neurodegeneration to cancer. The complexity of the SASP, typically assessed by a few dozen secreted proteins, has been greatly underestimated, and a small set of factors cannot explain the diverse phenotypes it produces in vivo. Here, we present the ‘SASP Atlas’, a comprehensive proteomic database of soluble and exosome SASP factors originating from multiple senescence inducers and cell types. Each profile consists of hundreds of largely distinct proteins, but also includes a subset of proteins elevated in all SASPs. Our analyses identify several candidate biomarkers of cellular senescence that overlap with aging markers in human plasma, including GDF15, STC1 and SERPINs, which significantly correlated with age in plasma from a human cohort, the Baltimore Longitudinal Study of Aging. Our findings will facilitate the identification of proteins characteristic of senescence-associated phenotypes and catalog potential senescence biomarkers to assess the burden, originating stimulus and tissue of origin of senescent cells in vivo.AbbreviationsATV, atazanavir treatment; BLSA, Baltimore Longitudinal Study of Aging; CTL, control; DDA, data-dependent acquisition; DAMP, damage-associated molecular pattern; DIA, data-independent acquisition; eSASP, extracellular vesicle senescence associated secretory phenotype; EVs, extracellular vesicles; IR, X-irradiation; MS, mass spectrometry; RAS, inducible RAS overexpression; SA-β-Gal, senescence-associated β-galactosidase; SEN, senescent; sSASP, soluble senescence associated secretory phenotype.
EM-LDDMM for 3D to 2D registration
Authors: Tward Daniel , Miller Michael 
Published: April 2019

AbstractWe examine the problem of mapping dense 3D atlases onto censored, sparsely sampled 2D target sections at micron and meso scales. We introduce a new class of large deformation diffeomorphic metric mapping (LD-DMM) algorithms for generating dense atlas correspondences onto sparse 2D samples by introducing a field of hidden variables which must be estimated representing a large class of target image uncertainties including (i) unknown parameters representing cross stain contrasts, (ii) censoring of tissue due to localized measurements of target subvolumes and (iii) sparse sampling of target tissue sections. For prediction of the hidden fields we introduce the generalized expectation-maximization algorithm (EM) for which the E-step calculates the conditional mean of the hidden variates simultaneously combined with the diffeomorphic correspondences between atlas and target coordinate systems. The algorithm is run to fixed points guaranteeing estimators satisfy the necessary maximizer conditions when interpreted as likelihood estimators. The dense mapping is an injective correspondence to the sparse targets implying all of the 3D variations are performed only on the atlas side with variation in the targets only 2D manipulations.
The power of model-to-crop translation illustrated by reducing seed loss from pod shatter in oilseed rape
Authors: Stephenson Pauline , Stacey Nicola , Brüser Marie , Pullen Nick , Ilyas Muhammad , O’Neill Carmel , Wells Rachel , Østergaard Lars 
Published: April 2019

AbstractIn the 1980s, plant scientists descended on a small weedArabidopsis thaliana(thale cress) and developed it into a powerful model system to study plant biology. The massive advances in genetics and genomics since then has allowed us to obtain incredibly detailed knowledge on specific biological processes of Arabidopsis growth and development, its genome sequence and the function of many of the individual genes. This wealth of information provides immense potential for translation into crops to improve their performance and address issues of global importance such as food security. Here we describe how fundamental insight into the genetic mechanism by which seed dispersal occurs in members of the Brassicaceae family can be exploited to reduce seed loss in oilseed rape (Brassica napus). We demonstrate that by exploiting data on gene function in model species, it is possible to adjust the pod-opening process in oilseed rape thereby significantly increasing yield. Specifically, we identified mutations in multiple paralogues of theINDEHISCENTandGA4genes inB. napusand have overcome genetic redundancy by combining mutant alleles. Finally, we present novel software for the analysis of pod shatter data that is applicable to any crop for which seed dispersal is a serious problem. These findings highlight the tremendous potential of fundamental research in guiding strategies for crop improvement.KeymessageElucidation of key regulators inArabidopsisfruit patterning has facilitated knowledge-translation into crop species to address yield loss caused by premature seed dispersal (pod shatter).
Emergence of Novel Lineage of Foot-and-Mouth Disease Virus Serotype Asia1 BD-18 (G-IX) in Bangladesh
Authors: Ali M. Rahmat , Alam A. S. M. R. U. , Amin M. Al , Siddique Mohammad A. , Sultana Munawar , Hossain M. Anwar 
Published: April 2019

AbstractIn 2018, a novel circulatory foot-and-mouth disease virus serotype Asia1 BD-18 (G-IX) lineage containing a unique mutation has emerged in Bangladesh. This emergence may be following the evolutionary roadmap of previously reported lineage. Inappropriate vaccination and inefficient outbreak surveillance possibly contributed to the current episode of emergence.
Diagnostic value of chest ultrasound in children with cystic fibrosis
Authors: Strzelczuk-Judka Lidia , Wojsyk-Banaszak Irena , Zakrzewska Aleksandra , Jonczyk-Potoczna Katarzyna 
Published: April 2019

AbstractCystic fibrosis (CF) is one of the most common genetic disorders in the Caucasian population. The disease has a progressive course and leads to reduced life quality and life expectancy. Standard diagnostic procedures used in the monitoring of CF patients, include methods exposing patients to the ionizing radiation. With increasing life expectancy in CF the cumulative dose of ionising radiation increases, prompting clinicians’ search for safer imaging studies. Despite its safety and availability lung ultrasound (LUS) is not routinely used in the diagnostic evaluation of CF patients.The aim of the study was to evaluate the diagnostic value of LUS in children with CF compared to chest X-ray, and to assess the diagnostic value of the recently developed LUS score - CF-USS (Cystic Fibrosis Ultrasound Score).LUS was performed in 48 CF children aged from 5 to 18 years (24 girls and 24 boys). LUS consisted in the assessment of the pleura, lung sliding, A-line and B-line artifacts, “lung rockets”, alveolar consolidations, air bronchogram and pleural effusion. Chest radiography was performed in all patients and analyzed according to the modified Chrispin-Norman score. LUS was analyzed according to CF-USS.Correlation between the CF-USS and the modified Chrispin-Norman scores were moderate (R=0.52, p=0.0002) and strong in control studies. In 75% of patients undergoing LUS, small areas of subpleural consolidations were observed, not visible on X-rays. At the same time, LUS was not sensitive enough to visualize bronchial pathology, which plays an important role in assessing the disease progression.ConclusionsLUS constitutes an invaluable tool for the diagnosis of subpleural consolidations. CF-USS results correlate with conventional x-ray modified Chrispin–Norman score. LUS should be considered an accessory radiographic examination in the monitoring of CF patients, and CF-USS may provide clinicians with valuable information concerning the disease progression.
Characterization of a new cytorhabdovirus discovered in papaya (Carica papaya) plantings of Ecuador and its relationship with a bean-infecting strain from Brazil
Authors: Medina-Salguero Andres X. , Cornejo-Franco Juan F. , Grinstead Samuel , Mollov Dimitre , Mowery Joseph D. , Flores Francisco , Quito-Avila Diego F. 
Published: April 2019

AbstractThe complete genome of a new rhabdovirus infecting papaya (Carica papayaL.) was sequenced and characterized. The genome consists of 13,469 nucleotides with six canonical open reading frames (ORFs) predicted from the antigenomic strand. In addition, two overlapping short ORFs were predicted between ORFs 3 and 4. Phylogenetic analyses using amino acid sequences from the nucleocapsid, glycoprotein and polymerase, grouped the virus with members of the genusCytorhabdovirus, with rice stripe mosaic virus, yerba mate chlorosis-associated virus and Colocasia bobone disease-associated virus as closest relatives. The 3’ leader and 5’ trailer sequences were 144 and 167 nt long, respectively. Each end contains complementary sequences prone to form panhandle structures. The motif 3’-AUUCUUUUUG-5’, conserved across rhabdoviruses, was identified in all but one intergenic regions; whereas the motif 3’-ACAAAAACACA-5’ was found in three intergenic junctions. This is the first complete genome of a cytorhabdovirus infecting papaya. The virus was prevalent in commercial plantings of Los Ríos, the most important papaya producing province of Ecuador. During the final stage of this manuscript preparation, the genome of a bean-associated cytorhabdovirus became available. Nucleotide identity (97%) between both genomes indicated that the two viruses are strains of the same species, for which we propose the name papaya cytorhabdovirus E.
Social-cognitive antecedents of new venture internationalization
Authors: Wasowska Aleksandra 
Published: April 2019

PurposeThe purpose of this paper is to investigate the social-cognitive antecedents of an entrepreneur’s internationalization intent and a firm’s behavior. Building on the insights of social-cognitive psychology, the author develops a conceptual model linking an entrepreneur’s positive orientation, self-efficacy beliefs, internationalization intent and actual behavior of the firm.Design/methodology/approachThe author tests this model with a sample of 310 Polish firms (including 241 domestic and 69 international new ventures), drawing on data collected first in 2006 and then in 2007.FindingsThe author finds that self-efficacy mediates between positive orientation and internationalization intent, and that an entrepreneur’s internationalization intent predicts a firm’s behavior (i.e. foreign market entry). Moreover, firm age moderates the relationship between an entrepreneur’s positive orientation and internationalization propensity among new ventures.Research limitations/implicationsOverall, the findings demonstrate that social-cognitive theory is useful in predicting new venture internationalization.Practical implicationsBased on the findings, the author recommends that managerial education in international management combines the development of “formal” skills and cross-cultural competencies with experiential and vicarious learning.Originality/valueThe study combines insights from psychology and international business, thus responding to numerous calls for a more interdisciplinary and cognition-oriented focus on the international behavior of firms.
Cost-optimal as a tool for helping in designing distribution transformer using particle swarm optimization
Authors: Jarrahi Mohammad Amin , Roshandel Emad , Allahbakhshi Mehdi , Ahmadi Mohammad 
Published: April 2019

Purpose
This paper aims to achieve an optimal design for distribution transformers considering cost and power losses. Particle swarm optimization (PSO) algorithm is used as an optimization tool for minimizing the objective functions of design procedure which are cost and electrical and iron losses.

Design/methodology/approach
In this paper, distribution transformer losses are considered as operating costs. Also, transformer construction cost which depends on the amount of iron and copper in the structure is assumed as its initial cost. In addition, some other important constraints such as appropriate ranges of transformer efficiency, voltage regulation, temperature rise, no-load current, and winding fill factor are investigated in the design procedure. The PSO algorithm is applied to find optimum amount of needed copper and iron for a typical distribution transformer. Moreover, transformer impedance considered as a constraint to achieve an acceptable voltage regulation in the design process.

Findings
It is shown that the proposed design procedure provides a simple and effective approach to estimate the flux and current densities for minimizing the active part cost and active power losses which means reduction in amount of transformer total owning cost (TOC).

Originality/value
The methodology advances a proposal for reducing distribution transformers costs using PSO algorithm. The approach considers the aforementioned constraints and TOC to minimize the active part cost and maximize the efficiency. It is demonstrated that a designed transformer will not be optimum when the transformer losses over years are not considered in design procedure. Finally, the results prove the effectiveness of the proposed procedure in designing cost-effective distribution transformers from its initial cost until its whole life.
Fractional order super-twisting sliding mode observer for sensorless control of induction motor
Authors: Ilten Erdem , Demirtas Metin 
Published: April 2019

Purpose
To meet the need of reducing the cost of industrial systems, sensorless control applications on electrical machines are increasing day by day. This paper aims to improve the performance of the sensorless induction motor control system. To do this, the speed observer is designed based on the combination of the sliding mode and the fractional order integral.

Design/methodology/approach
Super-twisting sliding mode (STSM) and Grünwald–Letnikov approach are used on the proposed observer. The stability of the proposed observer is verified by using Lyapunov method. Then, the observer coefficients are optimized for minimizing the steady-state error and chattering amplitude. The optimum coefficients (c1, c2, ki and λ) are obtained by using response surface method. To verify the effectiveness of proposed observer, a large number of experiments are performed for different operation conditions, such as different speeds (500, 1,000 and 1,500 rpm) and loads (100 and 50 per cent loads). Parameter uncertainties (rotor inertia J and friction factor F) are tested to prove the robustness of the proposed method. All these operation conditions are applied for both proportional integral (PI) and fractional order STSM (FOSTSM) observers and their performances are compared.

Findings
The observer model is tested with optimum coefficients to validate the proposed observer effectiveness. At the beginning, the motor is started without load. When it reaches reference speed, the motor is loaded. Estimated speed and actual speed trends are compared. The results are presented in tables and figures. As a result, the FOSTSM observer has less steady-state error than the PI observer for all operation conditions. However, chattering amplitudes are lower in some operation conditions. In addition, the proposed observer shows more robustness against the parameter changes than the PI observer.

Practical implications
The proposed FOSTSM observer can be applied easily for industrial variable speed drive systems which are using induction motor to improve the performance and stability.

Originality/value
The robustness of the STSM and the memory-intensive structure of the fractional order integral are combined to form a robust and flexible observer. This paper grants the lower steady-state error and chattering amplitude for sensorless speed control of the induction motor in different speed and load operation conditions. In addition, the proposed observer shows high robustness against the parameter uncertainties.
A volume integral approach for the modelling and design of HTS coils
Authors: Statra Yazid , Menana Hocine , Belguerras Lamia , Douine Bruno 
Published: April 2019

Purpose
The purpose of this paper is to develop a rapid and realistic modelling approach for the design and characterization of high temperature superconducting (HTS) coils and windings carrying DC currents. Indeed, the strong dependence of the electromagnetic properties of such materials on the magnetic field makes the design and characterization of HTS systems a delicate operation where local quantities have to be evaluated.

Design/methodology/approach
A volume integral modelling approach has been developed taking into account the electric nonlinearity of the HTS material which is represented by power law. The variations of the characteristic quantities of the HTS (critical current density and power law exponent) with the magnetic flux density are also taken into account by using Kim’s law. The volume integral modelling allows to model only the active parts of the system and thus to overcome the difficulties linked to the multiscale dimensions.

Findings
The model has been tested in a case study in which simulation results were compared to measurements and to finite element analysis. A good agreement was found which validates the model as a rapid and efficient tool for HTS coils and windings design and modelling.

Practical implications
HTS coils are important elements of emerging superconducting devices which require a high level of reliability, such as generators or motors. The proposed approach is interesting to speed up the design and optimization procedures of such systems.

Originality/value
Advanced structures of the basic elements have been used in the volume integral modelling, which results in a considerable gain in computation time and in memory-space saving while keeping a high level of precision and realism of the modelling, which has been verified experimentally.
Affordable housing policy development: public official perspectives
Authors: Cai Xiang , Wu Wei-Ning 
Published: April 2019

Purpose
This paper aims to examine the factors affecting the implementation of affordable housing policies in two Chinese municipal governments. Since 2010, the Chinese government has enforced an ambitious plan to adopt affordable housing provisions accompanying a series of urbanization programs. Furthermore, the policy implementation at the local level has led to various outcomes but has been scarcely investigated. The views of policy implementation from local officials are crucial in the context of intergovernmental relations. Therefore, it is important to examine the views of local public officials on the development status and challenges in the context of Chinese intergovernmental relations.

Design/methodology/approach
This paper verifies which factors exert significant impacts on the willingness of local officials to adapt affordable housing policies by using the logistic regression model and marginal effect estimation. With original data from the fieldwork surveys of city administrators, the measures incorporated local characteristics as well as the intergovernmental support from the central government in two selected megacities, Guangzhou and Shenzhen.

Findings
There are significant differences in local investment between the selected cities. Intergovernmental support from the central government, city development strategies, implementation perceptions of local governments and land supply, all significantly impact the selection of an affordable housing program and its overall implementation.

Originality/value
To the best of the authors’ understanding, this study would be one of the first to empirically explore the view of municipal public officials on affordable housing policy in China. This paper provides an empirical analysis from municipal public officials on the local implementation of affordable housing policies in China. As the outcome of housing policies actually depends on the implementation willingness of public officials and the overall performance of local governments, this explorative study would benefit the future development of China’s affordable housing policy.
Operational supply risk mitigation of SME and its impact on operational performance
Authors: Chowdhury Priyabrata , Lau Kwok Hung , Pittayachawan Siddhi 
Published: April 2019

Purpose
The purpose of this paper is to investigate how buyer–supplier social capital may help mitigate operational supply risk (OSR) of small- and medium-sized enterprises (SMEs). It empirically examines a framework that posits the direct and mediated impacts of three dimensions of buyer–supplier social capital – structural, relational and cognitive – and supplier integration on the OSR of SMEs and consequently their operational performance.

Design/methodology/approach
This study uses data collected via a questionnaire from 485 manufacturing SMEs in Bangladesh for analysis using structural equation modeling.

Findings
The analysis reveals that all the three dimensions of buyer–supplier social capital can effectively reduce the OSR of SMEs, either directly or indirectly through supplier integration. The mediating role of supplier integration in the relationship between social capital and OSR is confirmed and the negative impact of OSR on operational performances of SMEs is verified.

Research limitations/implications
Generalization of the findings needs to be prudent since the study gathered information only from manufacturing SMEs in Bangladesh on the buyer side of the buyer–supplier dyad.

Practical implications
Findings of this study can provide references for SME practitioners to formulate their OSR mitigation strategies for enhancing operational performance.

Originality/value
This study adds to the currently scarce literature on OSR of SMEs by combining antecedents and consequences of OSR in a single framework. It also extends the use of buyer–supplier social capital to risk mitigation research.