bluuebunny/crossref_metadata_2025_split huggingface dataset:
Treatment‐emergent hypertension and efficacy in the phase 3 Study of (E7080) lenvatinib in differentiated cancer of the thyroid (SELECT)
Authors: Wirth Lori J. , Tahara Makoto , Robinson Bruce , Francis Sanjeev , Brose Marcia S. , Habra Mouhammed Amir , Newbold Kate , Kiyota Naomi , Dutcus Corina E. , Mathias Elton , Guo Matthew , Sherman Steven I. , Schlumberger Martin 
Published: April 2018

BACKGROUNDHypertension (HTN) is an established class effect of vascular endothelial growth factor receptor (VEGFR) inhibition. In the phase 3 Study of (E7080) Lenvatinib in Differentiated Cancer of the Thyroid (SELECT) trial, HTN was the most frequent adverse event of lenvatinib, an inhibitor of VEGFR1, VEGFR2, VEGFR3, fibroblast growth factor receptor 1 (FGFR1), FGFR2, FGFR3, FGFR4, platelet‐derived growth factor receptor α (PDGFRα), ret proto‐oncogene (RET), and stem cell factor receptor (KIT). This exploratory analysis examined treatment‐emergent hypertension (TE‐HTN) and its relation with lenvatinib efficacy and safety in SELECT.METHODSIn the multicenter, double‐blind SELECT trial, 392 patients with progressive radioiodine‐refractory differentiated thyroid cancer (RR‐DTC) were randomized 2:1 to lenvatinib (24 mg/d on a 28‐day cycle) or placebo. Survival endpoints were assessed with Kaplan‐Meier estimates and log‐rank tests. The influence of TE‐HTN on progression‐free survival (PFS) and overall survival (OS) was analyzed with univariate and multivariate Cox proportional hazards models.RESULTSOverall, 73% of lenvatinib‐treated patients and 15% of placebo‐treated patients experienced TE‐HTN. The median PFS for lenvatinib‐treated patients with (n = 190) and without TE‐HTN (n = 71) was 18.8 and 12.9 months, respectively (hazard ratio [HR], 0.59; 95% confidence interval [CI], 0.39‐0.88; P = .0085). For lenvatinib‐treated patients, the objective response rate was 69% with TE‐HTN and 56% without TE‐HTN (odds ratio, 1.72; 95% CI, 0.98‐3.01). The median change in tumor size for patients with and without TE‐HTN was −45% and −40%, respectively (P = .2). The median OS was not reached for patients with TE‐HTN; for those without TE‐HTN, it was 21.7 months (HR, 0.43; 95% CI, 0.27‐0.69; P = .0003).CONCLUSIONSAlthough HTN is a clinically significant adverse event that warrants monitoring and management, TE‐HTN was significantly correlated with improved outcomes in patients with RR‐DTC, indicating that HTN may be predictive for lenvatinib efficacy in this population. Cancer 2018;124:2365‐72. © 2018 American Cancer Society.
A strategy toward spectral and colorimetric color reproduction using ordinary digital cameras
Authors: Maali Amiri Morteza , Fairchild Mark D 
Published: April 2018

AbstractIn this work, a methodology is introduced to use ordinary digital RGB cameras for the purpose of spectral and colorimetric color reproduction. First, it is attempted to recover the spectral reflectance from RGB camera response using different approaches, among which, it is shown that weighted nonlinear regression as performed better than other approaches. After analyzing the results, it is realized that although spectrally the results are satisfactory, there is still a significant colorimetric error left, that should be addressed. Therefore, in the second part of the article, different linear and nonlinear matrix transforms are used to change the RGB camera response to CIEXYZ tristimulus values under a specific condition. It is concluded that colorimetric error of the recovery can be reduced significantly when a separate path is used for colorimetric color reproduction.
Impact of fluorescent whitening agent excitation on White Balance Algorithms
Authors: Chen Siyuan , Wei Minchen 
Published: April 2018

AbstractVarious white balance algorithms, based either on the Gray World assumption or on the Retinex theory, have been developed to remove the color cast of illumination in images. Though most man‐made white objects contain different amount of fluorescent whitening agents (FWAs) to enhance and create different degrees of whiteness appearance, the FWA excitation has seldom been considered in white balance algorithms. In this study, four illuminants, comprising 2 levels of CCT and 2 levels of UV/violet radiations, were produced to illuminate a setup, which included a Macbeth ColorChecker and a calibrated whiteness standard. Three whiteness standards containing different amount of FWAs were used under each illuminant, with one present each time. It was found the FWA excitation generally caused little color difference to the algorithms based on the Gray World assumption, which was likely due to the small size of the whiteness standard in the image. In contrast, the performance of the algorithms based on the Retinex theory was largely affected by the FWA excitation, as the FWA excitation affected the RGB values of the pixels for adjusting the gain factors. Given the wide usage of blue‐pumped white LEDs that contained little UV/violet radiation for enhancing luminous efficacy in general illumination, the impact of the FWAs is not trivial and should be considered in developing white balance algorithms.
Large dataset summarization with automatic parameter optimization and parallel processing for local outlier detection
Authors: Shou Zhaoyu , Li Simin 
Published: April 2018

SummaryAs one of the most important research problems of data analytics and data mining, outlier detection from large datasets has drawn many research attentions in recent years. In this paper, we investigate the interesting research problem of summarizing large datasets for supporting efficient local outlier detection. To summarize large datasets, efficient summarization algorithms are proposed that produce a highly compact summary of the original dataset, which can be applied to detect local outliers from future similar datasets. A novel automatic parameter optimization method is proposed to produce the optimal setup of the key parameters used in the summarization algorithm. Parallel processing methods are also proposed to accelerate significantly the summarization process. The experimental evaluation results demonstrate that our proposed algorithms are highly scalable for large datasets and effective in producing dataset summary for local outlier detection.
Distributed geometric nonnegative matrix factorization and hierarchical alternating least squares–based nonnegative tensor factorization with the MapReduce paradigm
Authors: Zdunek Rafał , Fonał Krzysztof 
Published: April 2018

SummaryNonnegative matrix factorization and its multilinear extension known as nonnegative tensor factorization are commonly used methods in machine learning and data analysis for feature extraction and dimensionality reduction for nonnegative high‐dimensional data. Dimensionality reduction for massive amounts of data usually involves distributed computation across multi‐node computer architectures. In this study, we propose various computational strategies for parallel and distributed computation of the latent factors in both factorization models, all of which are based on partitioning the computational tasks according to the MapReduce paradigm. We extend the previously reported distributed hierarchical alternating least squares algorithm to the multi‐way array factorization model, where we assume that the observed multi‐way data can be partitioned into chunks along one mode. Moreover, we propose a new geometry‐based distributed computational strategy for solving nonnegative matrix factorization problems. Numerical experiments performed using various large‐scale data sets demonstrated that these algorithms are efficient and robust to noisy data.
Cloud access control authentication system using dynamic accelerometers data
Authors: Zhu Biaokai , Zhao Jumin , Li Dengao , Wang Hong , Bai Ruiqin , Li Yanxia , Wu Hao 
Published: April 2018

SummaryThe main challenge of access control system is how to allow authorized users to access quickly and accurately. In reality, most access control system cannot run smoothly with the adverse impact of a security problem, it is because the access control card is easy to duplicate. To improve system security, recent efforts introduced biological technologies, such as fingerprint identification, facial recognition, and iris recognition. However, these methods are costly for installation and later maintenance. In this paper, we introduce a cloud access control system that employs the ability of sensing acceleration of Wireless Identification and Sensing Platform (WISP) tags combined with customized motions. Users are allowed to pass the access control system only if they operate user‐defined motions correctly. Authorized users can define the authentication motions by themselves, which not only facilitates the daily use but also improves the security of the cloud access control system. We conduct intensive experimental measurements. The experimental results verify the effectiveness of our proposed system.
Two‐Photon‐Absorption Properties of Pyrene‐Based Dipolar D‐π‐A Fluorophores
Authors: Wang Chuan‐Zeng , Zhang Ruoyao , Sakaguchi Koya , Feng Xing , Yu Xiaoqiang , Elsegood Mark R. J. , Teat Simon J. , Redshaw Carl , Yamato Takehiko 
Published: April 2018

AbstractTwo‐photon absorption (TPA) properties of pyrene‐based derivatives are rare as a result of the limited number of controllable synthetic methods to prepare them. However, these materials are in great demand given their potential practical application in photics and biological imaging. Herein, we present a set of pyrene‐based dipolar donor‐π‐acceptor (D‐π‐A) fluorophores with a wide‐range of color tuning and large TPA cross‐sections (up to 2200 GM at 780 nm) by regioselective substitution at the 1,3‐ and 6,8‐positions under the perspective of theoretical analysis. The linear and nonlinear optical properties of these compounds have been studied. The near‐identical emission wavelengths between the two‐photon‐excited fluorescence (TPEF) and one‐photon excited fluorescence (OPEF) indicated that they are generated from the same fluorescent excited state by either one‐ or two‐photon excitation. With the exception of the strong donor [N(CH3)2] appended fluorophore, the TPEF exhibited a large red‐shift compared with the OPEF spectra as a result of the complicated working mechanisms in operation, including intramolecular charge transfer (ICT) and twisted intramolecular charge transfer (TICT). All fluorophores exhibit high two‐photon cross‐sections (or two‐photon brightness, δΦ), especially for 1348 GM, which indicated that these materials can be used as colorants for probe and bioimaging applications.
Moderating effect of innovation on corporate social responsibility and firm performance in realm of sustainable development
Authors: Anser Muhammad Khalid , Zhang Zhihe , Kanwal Lubna 
Published: April 2018

AbstractPakistan is a developing country making efforts to become compatible to foreign industry for smooth economic activities. A developmental wave of China Pakistan Economic Corridor puts pressure on Pakistan corporate industrial sector to speed up its strategical & developmental implementation process to remains in or surpass competition. For this Pakistan industry is gradually moving towards Corporate Social Responsible actions while China is leading from front.The intention of this paper is to examine moderating and direct impact of innovation on corporate social responsibility and firm performance in manufacturing industry of Pakistan. For this; panel data of three years was collected. Theoretical framework is based on two theories that are resource based and institutional theory.The direct and moderating effect was test by using multiple regression technique. The results was that significant direct relationship exist among CSR, Innovation and Firm Performance while moderating effect of innovation is absent between CSR and Firm performance.
Does family control explain why corporate social responsibility affects investment efficiency?
Authors: Shahzad Faisal , Rehman Ijaz Ur , Nawaz Faisal , Nawab Noman 
Published: April 2018

AbstractDrawing on stakeholder and socioemotional wealth theories, we empirically examine the influence of corporate social responsibility performance on investment efficiency in family‐controlled businesses versus non‐family‐controlled businesses. Our panel dataset consists of 190 Pakistani firms listed on the Pakistan Stock Exchange over the period of 2007–2016. We use feasible generalized least square regression for model estimation. Our results suggest that firms with higher corporate social responsibility performance invest efficiently compared with firms with lower corporate social responsibility performance. Furthermore, the impact of corporate social responsibility performance on investment efficiency is higher in the family firms. The results suggest that family‐controlled businesses are more willing to engage in social responsibility activities to achieve their non‐economic goals, i.e. family image and trans‐generational control. Overall, our results indicate that corporate social responsibility is beneficial for the organization, and its implication is more fruitful in the context of family‐controlled businesses.
Boosting employee retention through CSR: A configurational analysis
Authors: Lee Leemen , Chen Li‐Fei 
Published: April 2018

AbstractInternal stakeholders' perception of corporate social responsibility (CSR) plays a crucial role for organizations in pursuing innovative, sustainability‐based business models. The majority of research on CSR has examined its effects on organizations' financial performance or external stakeholders' behavior toward CSR. However, little attention has been devoted to employees' behavior toward CSR. The current study investigated how organizations' CSR initiatives and the fulfillment of employee job needs (existence, relatedness and growth, or ERG) affect employees' job satisfaction and retention intention. Methodologically, the study applied the fuzzy‐set qualitative comparative analysis method to capture the integrative effects of explanatory factors on the outcomes by examining the case of a leading chain department store in Asia. The results revealed that an organization's efforts on CSR could enhance the fulfillment of employees' ERG needs. Moreover, the perceived CSR initiatives could generate positive effects on employees' satisfaction and retention intention by fulfilling employees' ERG needs.
Integrating Desalination and Energy Storage using a Saltwater‐based Hybrid Sodium‐ion Supercapacitor
Authors: Guo Zhaowei , Ma Yuanyuan , Dong Xiaoli , Hou Mengyan , Wang Yonggang , Xia Yongyao 
Published: April 2018

AbstractEver‐increasing freshwater scarcity and energy crisis problems require efficient seawater desalination and energy storage technologies; however, each target is generally considered separately. Herein, a hybrid sodium‐ion supercapacitor, involving a carbon‐coated nano‐NaTi2(PO4)3‐based battery anode and an activated‐carbon‐based capacitive cathode, is developed to combine desalination and energy storage in one device. On charge, the supercapacitor removes salt in a flowing saltwater electrolyte through Cl− electrochemical adsorption at the cathode and Na+ intercalation at the anode. Discharge delivers useful electric energy and regenerates the electrodes. This supercapacitor can be used not only for energy storage with promising electrochemical performance (i.e., high power, high efficiency, and long cycle life), but also as a desalination device with desalination capacity of 146.8 mg g−1, much higher than most reported capacitive and battery desalination devices. Finally, we demonstrate renewables to usable electric energy and desalted water through combining commercial photovoltaics and this hybrid supercapacitor.
First Attempt of Glycidol‐to‐Monoalkyl Glyceryl Ethers Conversion by Acid Heterogeneous Catalysis: Synthesis and Simplified Sustainability Assessment
Authors: Ricciardi Maria , Passarini Fabrizio , Capacchione Carmine , Proto Antonio , Barrault Joel , Cucciniello Raffaele , Cespi Daniele 
Published: April 2018

AbstractThe selective preparation of monoalkylglyceryl ethers (MAGEs) is a task for researchers owing to their broad range of applications. In this work, green feedstocks such as glycidol and alcohols were used to prepare MAGEs under mild reaction conditions (80 °C, 3 h, 0.5 mol % catalyst) in the presence of acid heterogeneous catalysts. Nafion shows the best performances in terms of conversion and selectivity to MAGES and also high stability. A comparison of the environmental performances with the most consolidated pathway from glycerol has shown that the usage of glycidol (recovered as a value‐added product from Epicerol process) and Nafion leads to a lower impact on ecosystems. In addition, results achieved from a simplified socio‐economic analysis show that the innovative route here proposed has potential (at the laboratory scale) of enhancing potential gains and of reducing the social implications resulting from externalities associated with environmental impacts (e.g., CO2 equivalents).
Personality and performance are affected by age and early life parameters in a small primate
Authors: Zablocki‐Thomas Pauline B. , Herrel Anthony , Hardy Isabelle , Rabardel Lucile , Perret Martine , Aujard Fabienne , Pouydebat Emmanuelle 
Published: April 2018

AbstractA whole suite of parameters is likely to influence the behavior and performance of individuals as adults, including correlations between phenotypic traits or an individual's developmental context. Here, we ask the question whether behavior and physical performance traits are correlated and how early life parameters such as birth weight, litter size, and growth can influence these traits as measured during adulthood. We studied 486 captive gray mouse lemurs (Microcebus murinus) and measured two behavioral traits and two performance traits potentially involved in two functions: exploration behavior with pull strength and agitation score with bite force. We checked for the existence of behavioral consistency in behaviors and explored correlations between behavior, performance, morphology. We analyzed the effect of birth weight, growth, and litter size, while controlling for age, sex, and body weight. Behavior and performance were not correlated with one another, but were both influenced by age. Growth rate had a positive effect on adult morphology, and birth weight significantly affected emergence latency and bite force. Grip strength was not directly affected by early life traits, but bite performance and exploration behavior were impacted by birth weight. This study shows how early life parameters impact personality and performance.
Survival of the feces: Does a nematode lungworm adaptively manipulate the behavior of its cane toad host?
Authors: Finnerty Patrick B. , Shine Richard , Brown Gregory P. 
Published: April 2018

AbstractParasites can enhance their fitness by modifying the behavior of their hosts in ways that increase rates of production and transmission of parasite larvae. We used an antihelminthic drug to experimentally alter infections of lungworms (Rhabdias pseudosphaerocephala) in cane toads (Rhinella marina). We then compared subsequent behaviors of dewormed toads versus toads that retained infections. Both in the laboratory and in the field, the presence of parasites induced hosts to select higher body temperatures (thereby increasing rates of lungworm egg production), to defecate in moister sites, and to produce feces with higher moisture content (thereby enhancing survival of larvae shed in feces). Because those behavioral modifications enhance rather than decrease parasite fitness, they are likely to have arisen as adaptive manipulations of host behavior rather than as host adaptations to combat infection or as nonadaptive consequences of infection on host physiology. However, the mechanisms by which lungworms alter cane toad thermal preference and defecation are not known. Although many examples of host manipulation by parasites involve intermediate hosts facilitating their own demise, our findings indicate that manipulation of definitive hosts can be as subtle as when and where to defecate.
Exploring the evolution of multicellularity in Saccharomyces cerevisiae under bacteria environment: An experimental phylogenetics approach
Authors: Quintero‐Galvis Julian F. , Paleo‐López Rocío , Solano‐Iguaran Jaiber J. , Poupin María Josefina , Ledger Thomas , Gaitan‐Espitia Juan Diego , Antoł Andrzej , Travisano Michael , Nespolo Roberto F. 
Published: April 2018

AbstractThere have been over 25 independent unicellular to multicellular evolutionary transitions, which have been transformational in the complexity of life. All of these transitions likely occurred in communities numerically dominated by unicellular organisms, mostly bacteria. Hence, it is reasonable to expect that bacteria were involved in generating the ecological conditions that promoted the stability and proliferation of the first multicellular forms as protective units. In this study, we addressed this problem by analyzing the occurrence of multicellularity in an experimental phylogeny of yeasts (Sacharomyces cerevisiae) a model organism that is unicellular but can generate multicellular clusters under some conditions. We exposed a single ancestral population to periodic divergences, coevolving with a cocktail of environmental bacteria that were inoculated to the environment of the ancestor, and compared to a control (no bacteria). We quantified culturable microorganisms to the level of genera, finding up to 20 taxa (all bacteria) that competed with the yeasts during diversification. After 600 generations of coevolution, the yeasts produced two types of multicellular clusters: clonal and aggregative. Whereas clonal clusters were present in both treatments, aggregative clusters were only present under the bacteria treatment and showed significant phylogenetic signal. However, clonal clusters showed different properties if bacteria were present as follows: They were more abundant and significantly smaller than in the control. These results indicate that bacteria are important modulators of the occurrence of multicellularity, providing support to the idea that they generated the ecological conditions‐promoting multicellularity.
Function‐related Drivers of Skull Morphometric Variation and Sexual Size Dimorphism in a Subterranean Rodent, Plateau Zokor (Eospalax baileyi)
Authors: Su Junhu , Hegab Ibrahim M. , Ji Weihong , Nan Zhibiao 
Published: April 2018

AbstractSexual dimorphism is prevalent in most living organisms. The difference in size between sexes of a given species is generally known as sexual size dimorphism (SSD). The magnitude of the SSD is determined by Rensch's rule where size dimorphism increases with increasing body size when the male is the larger sex and decreases with increasing average body size when the female is the larger sex. The unique underground environment that zokors (Eospalax baileyi) live under in the severe habitat of the Qinghai‐Tibetan Plateau (QTP) could create SSD selection pressures that may or may not be supported by Rensch's rule, making this scientific question worthy of investigation. In this study, we investigated the individual variation between sexes in body size and SSD of plateau zokors using measurements of 19 morphological traits. We also investigated the evolutionary mechanisms underlying SSD in plateau zokors. Moreover, we applied Rensch's rule to all extant zokor species. Our results showed male‐biased SSD in plateau zokors: The body‐ and head‐related measurements were greater in males than in females. Linear regression analysis between body length, body weight, and carcass weight showed significant relationships with some traits such as skull length, lower incisor length, and tympanic bulla width, which might support our prediction that males have faster growth rates than females. Further, the SSD pattern corroborated the assumption of Rensch's rule in plateau zokors but not in the other zokor species. Our findings suggest that the natural underground habitat and behavioral differences between sexes can generate selection pressures on male traits and contribute to the evolution of SSD in plateau zokors.