bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mathematical models for cell migration with real-time cell cycle dynamics
Authors: Vittadello Sean T. , McCue Scott W. , Gunasingh Gency , Haass Nikolas K. , Simpson Matthew J. 
Published: December 2017

AbstractFluorescent ubiquitination-based cell cycle indicator, also known as FUCCI, allows the visualisation of the G1 and S/G2/M cell cycle phases of individual cells. FUCCI consists of two fluorescent probes, so that cells in the G1 phase fluoresce red and cells in the S/G2/M phase fluoresce green. FUCCI reveals real-time information about cell cycle dynamics of individual cells, and can be used to explore how the cell cycle relates to the location of individual cells, local cell density, and different cellular microenvironments. In particular, FUCCI is used in experimental studies examining cell migration, such as malignant invasion and wound healing. Here we present new mathematical models which can describe cell migration and cell cycle dynamics as indicated by FUCCI. Thefundamentalmodel describes the two cell cycle phases, G1 and S/G2/M, which FUCCI directly labels. Theextendedmodel includes a third phase, early S, which FUCCI indirectly labels. We present experimental data from scratch assays using FUCCI-transduced melanoma cells, and show that the predictions of spatial and temporal patterns of cell density in the experiments can be described by the fundamental model. We obtain numerical solutions of both the fundamental and extended models, which can take the form of travelling waves. These solutions are mathematically interesting because they are a combination of moving wavefronts and moving pulses. We derive and confirm a simple analytical expression for the minimum wave speed, as well as exploring how the wave speed depends on the spatial decay rate of the initial condition.
Building a 3D Integrated Cell
Authors: Johnson Gregory R. , Donovan-Maiye Rory M. , Maleckar Mary M. 
Published: December 2017

AbstractWe present a conditional generative model for learning variation in cell and nuclear morphology and predicting the location of subcellular structures from 3D microscopy images. The model generalizes well to a wide array of structures and allows for a probabilistic interpretation of cell and nuclear morphology and structure localization from fluorescence images. We demonstrate the effectiveness of the approach by producing and evaluating photo-realistic 3D cell images using the generative model, and show that the conditional nature of the model provides the ability to predict the localization of unobserved structures, given cell and nuclear morphology. We additionally explore the model’s utility in a number of applications, including cellular integration from multiple experiments and exploration of variation in structure localization. Finally, we discuss the model in the context of foundational and contemporary work and suggest forthcoming extensions.
Employing fuzzy ANP for ranking the personality of international brands in the sports shoe industry
Authors: Khazaei Pool Javad , Arabzad S. Mohammad , Asian Sobhan , Fahimi Milad , Verij Kazemi Reza 
Published: December 2017

Purpose
This paper aims to provide a quantitative basis to analytically determine the ranking of the brand personality of Adidas, Asics, Nike, Puma and Saucony brands among Iranian customers via a conventional multi-criteria decision-making (MCDM) method.

Design/methodology/approach
Data for determining the importance of evaluation criteria and ranking of brands are gathered by means of distributing questionnaires among a group of Iranian customers of sport shoes, as well as some industrial experts. The fuzzy analytic network process (FANP) was used to rank the brands with regard to dependencies between criteria and alternatives.

Findings
The results indicate that FANP is a capable method which provides invaluable insights for strategic marketing decisions in the sport product industry. Results show Adidas has the best performance in the sports shoe market compared to the other four brands. In this study, it was found that expertise sophistication was the most important criterion among Aaker’s five main criteria.

Originality/value
The value of this paper is applying FANP decision-making method for ranking sport shoe brands. This method has not been commonly used in the area of marketing, hence it is added to the pool of techniques used in ranking brands. In addition, evaluation and ranking of brands can be very useful for both academic research and practice. Researchers can benchmark the competences of each brand through evaluating them, and industrialists can extract the competitive advantages of the selected brands.
A two-period pricing model with hunger marketing strategy
Authors: Yu Lili , Zhang Juzhi 
Published: December 2017

Purpose
This paper aims to investigate the effect of hunger marketing strategy on supply chain pricing and coordinate the supply chain through a two-period pricing model.

Design/methodology/approach
According to a two-period pricing model with hunger marketing strategy, the authors investigate two different scenarios: the centralized system and the decentralized system. The optimal or equilibrium solutions are calculated and compared in two different scenarios.

Findings
First, the hunger marketing strategy can improve the total profit of the supply chain by increasing the retail price and the total sales volume. Second, the hunger marketing strategy aggravates the double marginalization effect. Third, the authors introduce the revenue-sharing contract and characterize the conditions under which the revenue-sharing contract can coordinate the supply chain and be accepted by both the members.

Research limitations/implications
First, the authors suppose the same retail price in two periods for mathematic simplicity; second, they do not consider the discount factor for the revenue during the two periods.

Practical implications
This paper provides a guide to policymakers in terms of product pricing and supply rate.

Originality/value
First, the authors suppose the same retail price in two periods for mathematic simplicity; second, they do not consider the discount factor for the revenue during the two periods.
Inventory models for joint pricing and greening effort decisions with discounts
Authors: Raza Syed Asif , Faisal Mohd. Nishat 
Published: December 2017

PurposeThis paper aims to develop efficient decision support tools for a firm’s environment protection by using greening effort while yet improving profitability by utilizing pricing and inventory decisions with discount consideration.Design/methodology/approachThis study proposed a mathematical model for price- and greening effort-dependent demand rate with discount considerations. Later, the mathematical model is extended to the situation in which the demand rate is also dependent on the stock level, in addition to the price and greening effort. Efficient solution methodologies are developed for finding the optimal solution to the proposed models.FindingsSimple yet elegant models are proposed to mimic real-life applications. Structural properties of the models are explored to outline efficient algorithms with quantity discounts.Research limitations/implicationsThe paper considers monopoly and assumes deterministic demand. Only a more commonly observed all-units discount scheme is studied.Practical implicationsThe models provide decision support tools for firms in pursuit of joint profit maximization and environment consciousness goals.Social implicationsThe study develops environment-friendly approaches for inventory management and improving the profitability alike.Originality/valueThis study is among the first to consider environmental protection with an investment in greening effort along with inventory management and pricing decision. The study also explored the effect of all-unit quantity discounts.
Supply chain scheduling and routing in multi-site manufacturing system (case study: a drug manufacturing company)
Authors: Beheshtinia Mohammad Ali , Ghasemi Amir , Farokhnia Moein 
Published: December 2017

PurposeThis study aims to propose a new genetic algorithm for solving supply chain scheduling and routing problem in a multi-site manufacturing system. The main research question is: How is the production and transportation scheduled in a multi-site manufacturer? Also the sub-questions are: How is the order assigned to the suppliers? What is the production sequence of the assigned orders to a supplier? How is the order assignment to the vehicles? What are the vehicles routes to convey the orders from the suppliers to the manufacturing centers? The authors’ contributions in this paper are: integration of production scheduling and vehicle routing in multi-site manufacturing supply chain and proposing a new genetic algorithm inspired from the role model concept in sociology.Design/methodology/approachConsidering shared transportation system in production scheduling of a multi-site manufacturer is investigated in this paper. Initially, a mathematical model for the problem is presented. Afterwards, a new genetic algorithm based on the reference group concept in sociology, named Reference Group Genetic Algorithm (RGGA) is introduced for solving the problem. The comparison between RGGA and a developed algorithm of literature closest problem, demonstrates a better performance of RGGA. This comparison is drawn based on many test problems. Moreover, the superiority of RGGA is certificated by comparing it to the optimum solution in the small size problems. Finally, the authors use real data collected from a drug manufacturer in Iran to test the performance of the algorithm. The results show the better performance of RGGA in comparison with obtained outputs from the real case.FindingsThe authors presented the mathematical model of the problem and introduced a new genetic algorithm based on the “reference group” concept in sociology. Robert K. Merton is a sociologist who presented the concept of reference groups in society. He believed that some people in each society such as heroes or entertainment artists affect other people. The proposed algorithm uses the reference group concept to the genetic algorithm, namely, RGGA. The comparison of the proposed algorithm with DGA and the optimum solution shows the superiority of RGGA. Finally, the authors implement the algorithm in a real case of drug manufacturing and the results show that the authors’ algorithm gives better outputs than obtained outputs from the real case.Originality/valueOne of the major objectives of supply chains is to create a competitive advantage for the final product. This intension is only achieved when each and every element of the supply chain considers customers’ needs in every function of theirs. This paper studies scheduling in the supply chain of a multi-site manufacturing system. It is assumed that some suppliers produce raw material or initial parts and convey them by a fleet of vehicles to a multi-site manufacturer.
Wealth inequality as a predictor of HIV-related knowledge in Nigeria
Authors: Faust Lena , Yaya Sanni , Ekholuenetale Michael 
Published: December 2017

IntroductionConsidering the high state-level heterogeneity of HIV prevalence and socioeconomic characteristics in Nigeria, it is a relevant setting for studies into the socioeconomic correlates of HIV-related knowledge. Although the relationship between absolute poverty and HIV transmission has been studied, the role of wealthinequalityin the dynamics of the HIV epidemic has yet to be investigated in Nigeria. The current study, therefore, investigates wealth inequality and other sociodemographic covariates as predictors of HIV-related knowledge, in order to identify subgroups of the Nigerian population that would benefit from HIV preventive interventions.MethodsThis study used the nationally representative 2013 Nigerian Demographic and Health Survey (NDHS). HIV-related knowledge was computed as a total score based on HIV-related knowledge indicators in the NDHS, dichotomised using the sample median as the cut-off. Wealth inequality and other relevant sociodemographic variables were introduced into a logistic regression model based on their significance in bivariate analyses. ORs derived from the model were interpreted to identify risk groups for low HIV-related knowledge after adjusting for confounding factors.ResultsThe regression model indicated that individuals with lower literacy levels were almost twice as likely as literate respondents to have low HIV-related knowledge (adjusted OR (AOR): 1.95, 95% CI 1.85 to 2.05, P<0.001), and individuals in the upper wealth quintile were less than half as likely than those in the lower wealth quintile to have low HIV-related knowledge (AOR: 0.40, 95% CI 0.35 to 0.46, P<0.001). Women were also more than twice as likely as men to have low HIV-related knowledge at each level of wealth inequality. In addition, women were 80% less likely to have low mother-to-child transmission knowledge than men, but had over 1.5 times higher odds of having poor knowledge of HIV risk reduction measures. Ethnicity, religious affiliation, relationship status and residing in rural areas were additional significant predictors of HIV-related knowledge.ConclusionHIV-related knowledge in this sample is generally low among women, those with low literacy levels, the poor, the unemployed, those residing in rural areas, those with traditional religious beliefs and those living in states with the highest wealth inequality ratios. The identification of these risk groups for low HIV-related knowledge facilitates the implementation of future evidence-based interventions among these groups in order to potentially reduce HIV transmission.
Perfusion index in healthy newborns during critical congenital heart disease screening at 24 hours: retrospective observational study from the USA
Authors: Jegatheesan Priya , Nudelman Matthew , Goel Keshav , Song Dongli , Govindaswami Balaji 
Published: December 2017

ObjectiveTo describe the distribution of perfusion index (PI) in asymptomatic newborns at 24 hours of life when screening for critical congenital heart disease (CCHD) using an automated data selection method.DesignThis is a retrospective observational study.SettingNewborn nursery in a California public hospital with ~3500 deliveries annually.MethodsWe developed an automated programme to select the PI values from CCHD screens. Included were term and late preterm infants who were screened for CCHD from November 2013 to January 2014 and from May 2015 to July 2015. PI measurements were downloaded every 2 s from the pulse oximeter and median PI were calculated for each oxygen saturation screen in our cohort.ResultsWe included data from 2768 oxygen saturation screens. Each screen had a median of 29 data points (IQR 17 to 49). The median PI in our study cohort was 1.8 (95% CI 1.8 to 1.9) with IQR 1.2 to 2.7. The median preductal PI was significantly higher than the median postductal (1.9 vs 1.8, p=0.03) although this difference may not be clinically significant.ConclusionUsing an automated data selection method, the median PI in asymptomatic newborns at 24 hours of life is 1.8 with a narrow IQR of 1.2 to 2.7. This automated data selection method may improve accuracy and precision compared with manual data collection method. Further studies are needed to establish external validity of this automated data selection method and its clinical application for CCHD screening.
Effects of a school-based stroke education program on stroke-related knowledge and behaviour modification―school class based intervention study for elementary school students and parental guardians in a Japanese rural area
Authors: Kato Suzuka , Okamura Tomonori , Kuwabara Kazuyo , Takekawa Hidehiro , Nagao Masanori , Umesawa Mitsumasa , Sugiyama Daisuke , Miyamatsu Naomi , Hino Tenyu , Wada Shinichi , Arimizu Takuro , Takebayashi Toru , Kobashi Gen , Hirata Koichi , Yokota Chiaki , Minematsu Kazuo 
Published: December 2017

ObjectivesThis study aimed to determine the effect of a stroke education programme on elementary school students and their parental guardians in a rural area in Japan that has high stroke mortality.DesignSchool class based intervention study.SettingEleven public elementary schools in Tochigi Prefecture, Japan.Participants268 students aged 11–12 years and 267 parental guardians.InterventionsStudents received lessons about stroke featuring animated cartoons and were instructed to communicate their knowledge about stroke to their parental guardians using material (comic books) distributed in the lessons. Stroke knowledge (symptoms, risk factors and attitude towards stroke) and behavioural change for risk factors were assessed at baseline, immediately after the programme and at 3 months. We also evaluated behavioural change for risk factors among parental guardians.ResultsThe percentage of students with all correct answers for stroke symptoms, risk factors and the recommended response to stroke was significantly increased at 3 months P<0.001). We observed a significant increase in the percentage of guardians who chose all correct symptoms (P<0.001: 61.0% vs 85.4%) and risk factors (P<0.001: 41.2% vs 59.9%) at 3 months compared with baseline. The percentage of parental guardians with a high behavioural response to improving risk factors was significantly increased at 3 months compared with baseline (P<0.001).ConclusionsIn a rural population with high stroke mortality, stroke education can improve knowledge about stroke in elementary school students and their parental guardians.Ethics and disseminationWe conducted the intervention as a part of compulsory education; this study was not a clinical trial. This study was approved by the Ethics Committee of the National Cerebral and Cardiovascular Center (M27-026).
Letters to the Editor
Authors: Horst Gert J. Ter 
Published: December 2017

The following is the abstract of the article discussed in the subsequent letter: Worrall, Neil K., Kathy Chang, Wanda S. LeJeune, Thomas P. Misko, Patrick M. Sullivan, T. Bruce Ferguson, Jr., and Joseph R. Williamson. TNF-α causes reversible in vivo systemic vascular barrier dysfunction via NO-dependent and -independent mechanisms. Am. J. Physiol. 273 ( Heart Circ. Physiol. 42): H2565–H2574, 1997.—Tumor necrosis factor (TNF-α) and nitric oxide (NO) are important vasoactive mediators of septic shock. This study used a well-characterized quantitative permeation method to examine the effect of TNF-α and NO on systemic vascular barrier function in vivo, without confounding endotoxemia, hypotension, or organ damage. Our results showed 1) TNF-α reversibly increased albumin permeation in the systemic vasculature (e.g., lung, liver, brain, etc.); 2) TNF-α did not affect hemodynamics or blood flow or cause significant tissue injury; 3) pulmonary vascular barrier dysfunction was associated with increased lung water content and impaired oxygenation; 4) TNF-α caused inducible nitric oxide synthase (iNOS) mRNA expression in the lung and increased in vivo NO production; 5) selective inhibition of iNOS with aminoguanidine prevented TNF-α-induced lung and liver vascular barrier dysfunction; 6) aminoguanidine prevented increased tissue water content in TNF-α-treated lungs and improved oxygenation; and 7) nonselective inhibition of NOS with N G-monomethyl-l-arginine increased vascular permeation in control lungs and caused severe lung injury in TNF-α-treated animals. We conclude that 1) TNF-α reversibly impairs vascular barrier integrity through NO-dependent and -independent mechanisms; 2) nonselective NOS inhibition increased vascular barrier dysfunction and caused severe lung injury, whereas selective inhibition of iNOS prevented impaired endothelial barrier integrity and pulmonary dysfunction; and 3) selective inhibition of iNOS may be beneficial in treating increased vascular permeability that complicates endotoxemia and cytokine immunotherapy.
Prostaglandins and the kidney
Authors: Dunn Michael J. , Hood Virginia L. 
Published: December 2017

This review provides a summary and assessment of research involving renal prostaglandins. Arachidonic acid released from phospholipids is converted by prostaglandin cycle-oxygenase in the kidney to PGE2, PGF2α, PGD2, and, possibly, to PGI2, and thromboxane A2. Production of PGE2, and PGF2α, is predominately but not exclusively in the medulla, whereas degradative enzymes are present in both cortex and medulla. Prostaglandins enter the tubular lumen by facilitated transport and are partially reabsorbed from the urine in the distal nephron. Urine prostaglandins probably reflect renal synthesis. PGE2 and endoperoxides stimulate and PGF2α and indomethacin inhibit renal renin synthesis. In response to ischemia, vasoconstriction, or angiotensin II the kidney increases prostaglandin synthesis to modulate renal vascular resistance. In conscious animals or man no role has been established for prostaglandins in the maintenance of basal renal blood flow or renal sodium excretion. PGE influences renal water excretion by inhibiting the action vasopressin. Despite conflicting data there is evidence that renal prostaglandins are involved either primarily or secondarily in many types of hypertension. Inhibitors of prostaglandin cyclooxygenase have been used with success in Bartter's syndrome. Conflicting results in many areas of investigation may be resolved by the use of more accurate and reliable assays, careful handling of samples, and the use of urine to further investigate renal prostaglandin synthesis. prostaglandin synthesis; renin-angiotensin; hypertension; antidiuretic hormone
Quantitation of renal uric acid synthesis in the chicken
Authors: Chin Theodore Y. , Quebbemann A. J. 
Published: December 2017

The contribution of uric acid synthesized in the kidney (nephrogenic uric acid) to the total uric acid excreted in the urine was studied in the chicken by use of the isotope-dilution technique. In the nonfasted chicken the urine-to-plasma specific activity ratio (SAR) of [14C]uric acid was 0.83, suggesting that a minimum of 17% of the uric acid excreted in the urine is synthesized in the kidney. During allopurinol infusion into the renal portal circulation of one kidney the SAR increased to 0.99, indicating that the renal synthesis of uric acid was almost completely inhibited and that the SAR is a valid indicator of the contribution of nephrogenic uric acid excreted into the urine without first entering the circulation. Chickens fasted for 18 h showed a lower rate of renal synthesis of uric acid. Hypoxanthine infusion into the systemic circulation increased the rate of renal synthesis of uric acid in both fasted and nonfasted chickens, suggesting that circulating precursor levels may in part regulate the renal synthesis of uric acid. kidney; specific activity ratio; allopurinol; renal metabolism Submitted on July 14, 1977