bluuebunny/crossref_metadata_2025_split huggingface dataset:
RhizoVision Crown: An Integrated Hardware and Software Platform for Root Crown Phenotyping
Authors: Seethepalli Anand , Guo Haichao , Liu Xiuwei , Griffiths Marcus , Almtarfi Hussien , Li Zenglu , Liu Shuyu , Zare Alina , Fritschi Felix B. , Blancaflor Elison B. , Ma Xue-Feng , York Larry M. 
Published: March 2019

ABSTRACTRoot crown phenotyping measures the top portion of crop root systems and can be used for marker-assisted breeding, genetic mapping, and understanding how roots influence soil resource acquisition. Several imaging protocols and image analysis programs exist, but they are not optimized for high-throughput, repeatable, and robust root crown phenotyping. The RhizoVision Crown platform integrates an imaging unit, image capture software, and image analysis software that are optimized for reliable extraction of measurements from large numbers of root crowns. The hardware platform utilizes a back light and a monochrome machine vision camera to capture root crown silhouettes. RhizoVision Imager and RhizoVision Analyzer are free, open-source software that streamline image capture and image analysis with intuitive graphical user interfaces. RhizoVision Analyzer was physically validated using copper wire and features were extensively validated using 10,464 ground-truth simulated images of dicot and monocot root systems. This platform was then used to phenotype soybean and wheat root crowns. A total of 2,799 soybean (Glycine max) root crowns of 187 lines and 1,753 wheat (Triticum aestivum) root crowns of 186 lines were phenotyped. Principal component analysis indicated similar correlations among features in both species. The maximum heritability was 0.74 in soybean and 0.22 in wheat, indicating differences in species and populations need to be considered. The integrated RhizoVision Crown platform facilitates high-throughput phenotyping of crop root crowns, and sets a standard by which open plant phenotyping platforms can be benchmarked.
Complex interaction networks of cytokines after transarterial chemotherapy in patients with hepatocellular carcinoma
Authors: Jekarl Dong Wook , Lee Seungok , Kwon Jung Hyun , Nam Soon Woo , Jang Jeong Won , Kim Myungshin , Kim Yonggoo 
Published: March 2019

AbstractInflammation in the tumor microenvironment influences all stages of HCC development and progression as well as the anti-cancer response by immune system. In this study, we studied cytokine networks before and after transarterial chemotherapy (TACE). Serum samples obtained from 203 HCC patients treated with TACE were analyzed for inflammatory cytokines including interleukin (IL)-1β, IL-2, IL-4, IL-5, IL-6, IL-9, IL-10, IL-12, IL-13, IL-17, IL-22, TNF-α, IFN-γ, and C-reactive protein (CRP) levels. Cytokine concentrations were measured at day 0 (D0, baseline), day3 (D3), day7 (D7), and day 60 (D60) after TACE. Network analysis revealed that modules within cytokine network at D0 were lost by D60 and modularity value (Mc) was decreased from 0.177 at D0 to −0.091 at D60. D60 had the lowest network heterogeneity and lower diameter, clustering coefficient, network density and recruited nodes. Degree correlation revealed that assortative network turned to disassortative network by D60 indicating that the network gained scale free feature. CRP, IL-2 were components of modules related with adverse outcome and IL-13, favorable outcome. Median survival month of patient group with high and low values with P-values were as follows: D0 CRP, 9.5 month (M), 54.2M (P<0.0001); D0 IL-2, 39.9M, 56.1M (P=0.0084); D3 CRP, 31.3M, 55.1 M (P=0.0056); D7 CRP, 28.7M, 50.7M (P=0.0065); IL-13, 51.9M, 33.6M (P=0.06). Network modularity decreased with temporal changes. Components of modules that included CRP, IL-2 and IL-6 were associated with adverse outcome and short overall survival. These modules were dissolved by D60 after TACE. Degree correlation decreased by D60, indicating that the cytokine network gained the scale free network property as in other biological network. TACE treatment converted cytokine network from that with inflammatory module to that with scale free network feature and without modules. Further studies are required to verify temporal changes of cytokine network in HCC patients after TACE.
Asymmetric Division Promotes Therapeutic Resistance in Glioblastoma Stem Cells
Authors: Hitomi Masahiro , Chumakova Anastasia P. , Silver Daniel J. , Knudsen Arnon M. , Pontius W. Dean , Murphy Stephanie , Anand Neha , Kristensen Bjarne W. , Lathia Justin D. 
Published: March 2019

AbstractAsymmetric cell division (ACD) enables the maintenance of a stem cell population while simultaneously generating differentiated progeny. Cancer stem cells (CSCs) undergo multiple modes of cell division during tumor expansion and in response to therapy, yet the functional consequences of these division modes remain to be determined. Using a fluorescent reporter for cell surface receptor distribution during mitosis, we found that ACD in glioblastoma CSCs generated a daughter cell with enhanced therapeutic resistance and increased co-inheritance of epidermal growth factor receptor (EGFR) and neurotrophin receptor (p75NTR). Stimulation of both receptors maintained self-renewal under differentiation conditions. While p75NTR knockdown did not compromise CSC maintenance, therapeutic efficacy of EGFR inhibition was enhanced, indicating that co-inheritance of p75NTR and EGFR promotes resistance to EGFR inhibition through a redundant mechanism. These data demonstrate that ACD produces progeny with co-enriched growth factor receptors, which contributes to the generation of a more therapeutically resistant CSC population.Graphical abstract
Bone marrow transplantation rescues monocyte recruitment defect and improves cystic fibrosis in mice
Authors: Fan Zhichao , Miller Jacqueline , Herro Rana , Ehinger Erik , Conrad Douglas J. , Mikulski Zbigniew , Zhu Yanfang Peipei , Marcovecchio Paola M. , Hedrick Catherine C. , Ley Klaus 
Published: March 2019

One Sentence SummaryIn this study, we demonstrate that correcting the monocyte adhesion defect in CFTRΔF508mice (CF mice) by bone marrow transplantation significantly improved survival and reduced inflammation.AbstractCystic fibrosis (CF) is an inherited life-threatening disease accompanied by repeated lung infections and multi-organ inflammation that affects tens of thousands of people worldwide. The causative gene, cystic fibrosis transmembrane conductance regulator (CFTR), is mutated in CF patients. Monocytes from CF patients show a deficiency in integrin activation and adhesion. Since monocytes play critical roles in controlling infections, defective monocyte function may contribute to CF progression. In this study, we demonstrate that monocytes from CFTRΔF508mice (CF mice) show defective adhesion under flow. Transplanting CF mice with wild-type bone marrow after sublethal irradiation replaced most (60-80%) CF monocytes with wild-type monocytes, significantly improved survival, and reduced inflammation. Wild-type/CF mixed bone marrow chimeras directly demonstrated defective CF monocyte recruitment to the bronchoalveolar lavage and the intestinal lamina propria in vivo. Our findings show that providing wild-type monocytes by bone marrow transfer rescues gastrointestinal (GI) mortality in CF mice, suggesting that wild-type bone marrow stem cells might mitigate CF inflammation.
Foresight for online shopping behavior: a study of attribution for “what next syndrome”
Authors: Sharma Gunjan , Bajpai Naval , Kulshreshtha Kushagra , Tripathi Vikas , Dubey Prince 
Published: March 2019

PurposeThe online shopping behavior is the outcome of the variety of attribution from product/ service offering to internet experience. The present study attempts to develop a complete product/service offering by exploring and examining the different combinations of online shopping attributes to provide the customized experience. Therefore, this study aims to fill the gap of customer desired experience and present scenario in online shopping behavior.Design/methodology/approachThe exploration of attributes pertaining to online shopping behavior was done by seeking theoretical support from different technology adoption theories/models and the Delphi technique, exercised with active participants of online and offline shopping. The theoretical and experience shared attributes were devised and social desirability scale (SDS) was used for eliminating the social desirability bias. Further, the questionnaire was administered online and offline during mall intercept. The Conjoint analysis was used to investigate the relative importance and utilities of the attributes and its levels individually and compositely at different levels.FindingsIn the context, brand loyalty, online reputation management and Web interactivity were found most relavant followed by e-WOM, perceived risk and price. The specific levels of attributes such as taking consumer advice, search engine optimization (SEO), perception-based interactivity, consumer message boards, product risk and discount pricing were the crucial in motivating the customers for online shopping. This research affords the avenue for the marketers to motivate and delight consumers to retribalize by the way of “e-tribalizing.”Research limitations/implicationsThe current study was conducted in confined geographical locations and limited in sample size; thus, the issue of generalization may prevail, but forthcoming researchers may exercise the techniques with better probabilistic sampling technique. The mass customization of the website features by comparing attribute orientation of customers around websites was recommended with the third-party certification to reduce the consumers’ perceived risk during online shopping. Finally, the different levels, such as Facebook fan page in ORM and Everyday Low Price (EDLP) in pricing may be considered for the future research work.Originality/valueThe research studies on online shopping behavior with Web interactivity, e-WOM, perceived risk, brand loyalty, ORM and price using a decompositional technique are scant. This study persuades the customers to go for online shopping by putting them in the almost real-time purchasing scenario. The study confirmed the need of people to retribalize through e-tribalization by the way of customization for the masses in the context of online shopping.
Working capital management and firm’s valuation, profitability and risk
Authors: Le Ben 
Published: March 2019

PurposeThe purpose of this paper is to examine the effects of working capital management on firm valuation, profitability and risk.Design/methodology/approachThe paper uses a panel data set of 497 firms covering the period 2007 to 2016. The authors test the effects of working capital management on firm valuation, profitability and risk using the panel data methodology that includes firm and year fixed effects regressions.FindingsThe authors find a significantly negative relationship between net working capital (NWC) and firm valuation, profitability and risk. The results suggest that, in managing working capital, firm managers must make a trade-off between their objectives for profitability and risk control. Working-capital management is of particular importance in firms with less access to capital; it is also important when firms are expanding their investments during periods of economic recovery.Originality/valueThis paper contributes to the literature in several ways. First, to my knowledge, it provides the most comprehensive investigation, to date, on the relationship between working capital management and firm valuation, profitability and risk in an emerging market. Second, this study documents the existence of an optimal level of NWC in an emerging market. Third, firm performance, as measured in both market and accounting value, can be improved with efficient working capital management. Finally, the study includes the impact of the business cycle in an analysis of the effects of working capital management on firm performance.
Working capital financing, firm performance and financial constraints
Authors: Altaf Nufazil , Ahmad Farooq 
Published: March 2019

PurposeThe purpose of this paper is to examine the relationship between working capital financing and firm performance for a sample of 437 non-financial Indian companies. In addition, this study examines the impact of financial constraints on working capital financing–performance relationship.Design/methodology/approachThe study is based on secondary financial data of 437 non-financial Indian companies obtained from Capitaline database, pertaining to a period of 10 years (2007–2016). This study employs two-step generalized method of moments techniques to arrive at results.FindingsResults of the study confirm the inverted U-shape relationship between working capital financing and firm performance. In addition, the authors also found that the firms that are likely to be less financially constrained can finance greater proportion of working capital using short-term debt.Originality/valueThis study contributes to the scant existing literature by testing the impact of financial constraints on the relationship between working capital financing and firm performance, representing a typical emerging market in India.
Emerging stock market co-movements in South Asia: wavelet approach
Authors: Das Debojyoti , Manoharan Kannadhasan 
Published: March 2019

Purpose
The purpose of this paper is to study the co-movement and market integration dynamics of the emerging/frontier stock markets in South Asia (India, Pakistan and Sri Lanka) with a portfolio management perspective.

Design/methodology/approach
Scholars in the past have documented the limitation of standard econometric techniques such as co-integration analysis to capture this phenomenon. The other econometric technique widely used in integration and comovement literature is dynamic conditional correlation-generalized autoregressive conditional heteroskedasticity. This method captivates the time-varying correlations, although frequency information is absent. The wavelet-based analysis decomposes the time-series data in a time-frequency domain, which is largely useful to fund managers and policy makers. This study examines the regional integration in selected South Asian markets using wavelet analysis.

Findings
The results suggest some degree of market integration, however weak as compared to regional integrations in developed markets. Pakistan and India were found to be the potential leaders at varying time scales in the region. Weaker co-movement phenomena may offer ample arbitrage opportunities to investors in this region. In addition, the authors also find that the structure of correlation changes after some of the major macroeconomic events.

Originality/value
This study is among the first to examine co-movement and integration of stock returns in a time-frequency domain for South Asia. In addition, the authors also highlight weak integration in these markets, which may be beneficial for portfolio diversification.
Assessing the vulnerability of military theater distribution routes
Authors: Muckensturm Joshua R. , Longhorn Dave C. 
Published: March 2019

Purpose
This paper introduces a new heuristic algorithm that aims to solve the military route vulnerability problem, which involves assessing the vulnerability of military cargo flowing over roads and railways subject to enemy interdiction.

Design/methodology/approach
Graph theory, a heuristic and a binary integer program are used in this paper.

Findings
This work allows transportation analysts at the United States Transportation Command to identify a relatively small number of roads or railways that, if interdicted by an enemy, could disrupt the flow of military cargo within any theater of operation.

Research limitations/implications
This research does not capture aspects of time, such as the reality that cargo requirements and enemy threats may fluctuate each day of the contingency.

Practical implications
This work provides military logistics planners and decision-makers with a vulnerability assessment of theater distribution routes, including insights into which specific roads and railways may require protection to ensure the successful delivery of cargo from ports of debarkation to final destinations.

Originality/value
This work merges network connectivity and flow characteristics with enemy threat assessments to identify militarily-useful roads and railways most vulnerable to enemy interdictions. A geographic combatant command recently used this specific research approach to support their request for rapid rail repair capability.
Brand avoidance: underlying protocols and a practical scale
Authors: Odoom Raphael , Kosiba John Paul , Djamgbah Christian Tetteh , Narh Linda 
Published: March 2019

PurposeThe increased practitioner and academic interest in negative brand phenomena highlight the need for the development of practical scales to be used for empirical investigations. Therefore, this paper aims to draw on existing conceptualisations to provide a theoretically grounded yet practically oriented scale for examining brand avoidance and its protocols.Design/methodology/approachThe study uses a sample of 575 consumers from two developing countries to create a parsimonious brand avoidance scale. Partial least squares structural equation modelling is used to analyse the data through a systematic formative measurement approachFindingsThis paper finds brand avoidance to be a multidimensional, second-order construct with five first-order dimensions: moral avoidance, identity avoidance, deficit–value avoidance, experiential avoidance and advertising-related avoidance. The paper further validates this scale by testing with non-purchase intention and identifies its positive relationship with brand avoidance.Originality/valueThis study fulfils the calls in the literature to provide a measurable scale for studying negative brand phenomena in consumer–brand relationship research.
How brand personality and failure-type shape consumer forgiveness
Authors: Hassey Roseann Viscomi 
Published: March 2019

PurposeThis paper aims to explore the impact of an overlooked variable, brand personality, as a basis for brand forgiveness and recovery following brand failures.Design/methodology/approachData were collected via three on-line surveys using Amazon Mechanical Turk, including a total of 475 respondents (125, 113 and 237) and using a 2 × 2 between-subjects factorial design.FindingsResults show that a brand’s dominant personality (warm vs competent) elicits different expectations regarding brand performance, and that surprisingly, consumers more readily forgive, rather than censure, brand failures which violate their expectations. Further, this effect exists independent of the consumer’s relationship with the brand. These findings occur across different brands (both fictitious and real), manipulations of brand personality and brand failure-type and indices for brand forgiveness. Results indicate the interactive effect of brand personality and failure-type was mediated by brand credibility, while consumers’ desire to re-evaluate the brand served as a moderator.Practical implicationsThis research demonstrates that while brand failures are largely considered from a negative perspective, brand personality can serve to bolster consumer perceptions of brands post-failure. Further, and separate from strong consumer-brand relationships, brand personality serves as an important signal for consumer expectations and plays a pivotal role in post-failure forgiveness and behavioral intentions.Originality/valueThis study contributes to the literature by introducing and testing the role brand personality plays, independent of an existing and strong consumer-brand relationship, in consumer response to brand failure. Further, the mediator of and a moderator for this effect are identified.
Noise and emission characterization of off-grid diesel-powered generators in Nigeria
Authors: Giwa Solomon O. , Nwaokocha Collins N. , Adeyemi Hezekiah O. 
Published: March 2019

Purpose
Nigeria, a prominent country in Sub-Sahara Africa, is plagued with a protracted, erratic and low power supply. The purpose of this paper is to present an experimental investigation of the noise levels and pollutants’ (CO, CO2 and particulate matter (PM2.5)) concentrations associated with the prevalent use of diesel-powered generators in the country. It is aimed to provide information on the level of gaseous, particulate and noise pollutants that are related to diesel-powered generators that could assist in policy formulation and create public awareness on the possible health risks.

Design/methodology/approach
Diesel-fueled generators (105) with age and installed capacity ranging from 0.5 to 14 years and 10 to 500 kVA, respectively, were engaged in this work at Sango area of Ogun State, Nigeria. Standard measuring instruments were placed at 1 m from the diesel-powered generators to determine the noise levels and concentrations of CO, CO2 and PM2.5.

Findings
Ranges of 72.6–115.6 dB, 19–198 ppm, 501–5,805 ppm and 221–492 µg/m3 for the noise level, CO, CO2 and PM2.5 concentrations, respectively, were obtained. Both the averages and ranges of the noise levels and pollutants’ concentrations were considerably higher than the recommended maximum limits. Thus, this study substantiated the pollution of ambient noise and air because of the operation of diesel-fueled generators. Furthermore, the health risks connected to the exposure to CO and PM2.5 as implied via the evaluation of the air quality index revealed very unhealthy and hazardous conditions, respectively.

Research limitations/implications
The measurement of the pollutants’ concentrations at the tips of the exhaust pipes of the diesel-powered generators was desirable but could not be achieved using manually logged devices. Nonetheless, adequate pollutants’ concentration data that satisfactorily represent the level of air pollution associated with diesel-fueled generators’ operations were obtained at around 1 m from the exhaust pipes.

Practical implications
The study provided additional knowledge on the levels of noise and pollutants, and the public health risks connected to the operations of diesel-powered generators that will be beneficial to the public and policymakers.

Originality/value
The results revealed a considerably high level of noise and air pollution, and the inherent environmental and public health problems connected to diesel-powered generators’ usage in Nigeria. This could serve as a viable tool for formulating environmental policy and providing the necessary societal awareness in this regard.