bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of a Chlamydomonas reinhardtii metabolic network dynamic model to describe distinct phenotypes occurring at different CO2 levels
Authors: Mora Salguero Daniela Alejandra , Fernández-Niño Miguel , Serrano-Bermúdez Luis Miguel , Páez Melo David O. , Winck Flavia V. , Caldana Camila , González Barrios Andrés Fernando 
Published: September 2018

The increase in atmospheric CO2 due to anthropogenic activities is generating climate change, which has resulted in a subsequent rise in global temperatures with severe environmental impacts. Biological mitigation has been considered as an alternative for environmental remediation and reduction of greenhouse gases in the atmosphere. In fact, the use of easily adapted photosynthetic organisms able to fix CO2 with low-cost operation is revealing its high potential for industry. Among those organism, the algae Chlamydomonas reinhardtii have gain special attention as a model organism for studying CO2 fixation, biomass accumulation and bioenergy production upon exposure to several environmental conditions. In the present study, we studied the Chlamydomonas response to different CO2 levels by comparing metabolomics and transcriptomics data with the predicted results from our new-improved genomic-scale metabolic model. For this, we used in silico methods at steady dynamic state varying the levels of CO2. Our main goal was to improve our capacity for predicting metabolic routes involved in biomass accumulation. The improved genomic-scale metabolic model presented in this study was shown to be phenotypically accurate, predictive, and a significant improvement over previously reported models. Our model consists of 3726 reactions and 2436 metabolites, and lacks any thermodynamically infeasible cycles. It was shown to be highly sensitive to environmental changes under both steady-state and dynamic conditions. As additional constraints, our dynamic model involved kinetic parameters associated with substrate consumption at different growth conditions (i.e., low CO2-heterotrophic and high CO2-mixotrophic). Our results suggest that cells growing at high CO2 (i.e., photoautotrophic and mixotrophic conditions) have an increased capability for biomass production. In addition, we have observed that ATP production also seems to be an important limiting factor for growth under the conditions tested. Our experimental data (metabolomics and transcriptomics) and the results predicted by our model clearly suggest a differential behavior between low CO2-heterotrophic and high CO2-mixotrophic growth conditions. The data presented in the current study contributes to better dissect the biological response of C. reinhardtii, as a dynamic entity, to environmental and genetic changes. These findings are of great interest given the biotechnological potential of this microalga for CO2 fixation, biomass accumulation, and bioenergy production.
The Value Relevance of IFRS Adoption in Indonesia
Authors: Juniarti Juniarti , Helena Ferbiana , Novitasari Karina , Tjamdinata Wenny 
Published: September 2018

Pros and cons of the benefits of IFRS adoption have become an ongoing debate following the inconclusive results of prior studies. Whether IFRS increase value relevance of account­ing information or not, especially in developing countries is an interesting and relevance research question. Indonesia as one of the developing countries that committed to adopting IFRS has an interest in obtaining empiric evidence on the value relevance of accounting information after nearly five years of IFRS implementation. This study aims to fill the need to enhance adopters' compliance with the standard. Ohlson Modified Model (1995) is used to test the value relevance of accounting information. Using longitudinal data of listed manu­facturing companies in Indonesia Stock Exchange (IDX), this study confirms that value relevance of accounting information increase after IFRS adoption than before adoption. The results robust using Pooled Least Square and Random effect model.
Tracking of power quality disturbances using sparse model–based extended Kalman filters
Authors: Sahoo Harish Kumar , Subudhi Umamani , Mishra Sanjeev Kumar 
Published: September 2018

SummaryAccurate estimation and tracking of power quality (PQ) disturbances requires efficient adaptive model‐based techniques, which should have elegant structures to be applicable in practical systems. Though extended Kalman filter (EKF) has been used as a popular estimator to track the time‐varying PQ events, the performance is limited due to higher‐order nonlinearity exists in system dynamics. Moreover, the computational complexity and sensitivity to the measurement noise affect the estimation accuracy and error convergence properties. If the underlying sparse behavior of adaptive filters can be exploited through norm penalty, then significant improvement can be achieved in terms of convergence speed, stability, and steady state excess mean square error performance. In this paper, a modification to EKF is proposed by using sparse model to estimate PQ disturbances with better estimation accuracy and faster convergence speed. A thorough comparison is presented in terms of simulation results by using a family of existing algorithms like least mean square, recursive least square, and EKF. Adaptive estimation model incorporates real and complex state space representations to represent discrete time PQ disturbances. The convergence of the proposed sparse model–based filter is also mathematically proved considering the mean square error performance.
Dopaminergic Neurons Transplanted Using Cell‐Instructive Biomaterials Alleviate Parkinsonism in Rodents
Authors: Adil Maroof M. , Rao Antara T. , Ramadoss Gokul N. , Chernavsky Nicole E. , Kulkarni Rishikesh U. , Miller Evan W. , Kumar Sanjay , Schaffer David V. 
Published: September 2018

AbstractCell replacement therapy (CRT) is a promising treatment for degenerative disorders, such as Parkinson's disease (PD). However, CRT is in general hindered by poor graft survival, limited cell dispersion, modest cell integration, and delayed therapeutic efficacy. These challenges need to be addressed to enhance the clinical translation of CRT. Here, key bioactive factors that increase the survival and dispersion of human pluripotent stem cell‐derived midbrain dopaminergic (mDA) neurons, the primary type of cells lost in PD, are identified. mDA neurons cotransplanted with survival and dispersion factors within a protective hyaluronic acid hydrogel, optimized for controlled factor release and cell spread, alleviate disease symptoms in PD model rats. Importantly, treatment benefits correlate with increased graft survival, dispersion, and integration. Optimally engineered cell‐instructive transplantation platforms thus offer promise for enhancing CRT in PD and potentially a range of degenerative diseases or trauma.
Retraction: Guiding Cell Migration Using One‐Way Micropattern Arrays
Authors: Kumar Girish , Ho Chia‐Chi , Co Carlos C. 
Published: September 2018

Adv. Mater. 2007, 19, 1084–1090The above article, published online on March 20, 2007 in Wiley Online Library (https://onlinelibrary.wiley.com) has been retracted by agreement between the authors, the journal Editor‐in‐Chief, and the publisher. The retraction has been agreed following an internal review by the University of Cincinnati wherein it was found that there were problems with Figure 2 and 3 and also with the microscope metadata for Figures 2, 3A, 3C, 3D, 3E, and 4.G. Kumar, C.‐C. Ho, C. C. Co, Adv. Mater. 2007, 19, 1084–1090; DOI: 10.1002/adma.200601629
Long‐Term Stable and Tunable High‐Performance Photodetectors Based on Perovskite Microwires
Authors: Chen Yantao , Zhang Junyao , Zhou Jiachen , Chu Yingli , Zhou Bilei , Wu Xiaohan , Huang Jia 
Published: September 2018

AbstractOraganolead halide perovskites (OHPs) present remarkable optoelectronic properties, and thus possess extensive applications in photovoltaic devices and photodetectors. However, the OHP‐based devices severely suffer from low environmental stability because of water invasion and oxygen erosion to the materials. In this work, this challenge is overcome by utilizing the unique advantages of the microwire structure. OHP microwires, which can be fabricated by simple and low‐cost dip coating method, present superior resistance to moisture as compare to conventional OHP films or nanowires, thanks to their combined properties of high‐crystallinity and low surface‐to‐volume ratio. Photodetectors based on the OHP microwires show outstanding long‐term stability over 90 d even stored with high relative humidity, which is among the highest stability according to the literature reports. Meanwhile, the photodetectors exhibit high and tunable sensory performance by adjusting the distribution of OHP microwires through changing the dip‐coating parameters, for example, the light‐to‐dark current ratio of the device can be over 20 000. The photodetectors with OHP microwaves deposited on polymer substrates also exhibit great mechanical flexibility. Therefore, this work reveals the unique advantages of the low‐cost and readily‐fabricated OHP microwires, and demonstrates their promising applications in optoelectronic devices by developing long‐term stable and tunable high‐performance photodetectors.
Examining the osteological paradox: Skeletal stress in mass graves versus civilians at the Greek colony of Himera (Sicily)
Authors: Kyle Britney , Reitsema Laurie J. , Tyler Janelle , Fabbri Pier Francesco , Vassallo Stefano 
Published: September 2018

AbstractObjectivesBioarchaeologists interpret skeletal stress as evidence of resilience or frailty, where absence of lesions might result from lack of exposure to pathogens (i.e., good health) or extreme vulnerability (i.e., selection). We examine physiological stress in two skeletal series from Greek Himera: (1) nine mass graves from the battles of Himera (480 and 409 BCE) and (2) Himeran civilians (648‐409 BCE). Civilians are assumed to have died from multiple causes, including ill health leading to their deaths. Individuals from the battles presumably died while in relatively good health, in battle. More skeletal stress among civilians than battle casualties would support the idea that skeletal stress is a sign of frailty at Himera. We compare variation in skeletal stress between and among civilians and battle casualties.Materials and methodsCribra orbitalia, porotic hyperostosis, linear enamel hypoplasia (LEH), and sub‐periosteal new bone formation, were examined in 474 individuals (mass graves n = 64; civilians n = 410).ResultsChi‐square tests showed significantly higher prevalence of LEH (p = 0.04) and sub‐periosteal new bone formation (p = 0.05) among young and mid‐aged adult male civilians than mass grave casualties. Skeletal stress was also lower in the earlier battle, and varied among civilians with burial style.DiscussionOur findings generally support the hypothesis that skeletal stress is evidence of frailty (i.e., leading to greater risk of mortality). However, the relationship between stress and frailty is complicated by social factors, when considering historical context. In particular, a possible “soldier‐class” may have experienced less stress than the overall civilian population.
Synthesis and evaluation of interaction parameters of synthetic elastin‐derived polypentapeptide with poly(vinylpyrrolidone) in solution and solid phase
Authors: Mahesh B. , Nanjundaswamy G. S. , Gowda D. Channe , Siddaramaiah  
Published: September 2018

ABSTRACTThe parent repeating sequence of elastin, poly(GVGVP) has been synthesized by solution phase method and characterized by 13C and1H‐NMR spectroscopy. The poly(GVGVP) and poly(vinyl pyrrolidone) (PVP) interactions have been examined in solution phase by the viscometric method at 24 °C. The interaction parameters such as α, β, µ, and Δ[η]mindicated the miscible nature of poly(GVGVP)/PVP blends. Immiscibility occurred when the quantity of poly(GVGVP) is lesser than 60%. In the solid phase, Fourier transform infrared spectroscopic scrutiny of the thin films of poly(GVGVP)/PVP blends indicated the presence of strong intermolecular interaction such as hydrogen bonds linking the blend components. This result was further supported by glass transition temperature (Tg), scanning electron microscopic, and X‐ray diffraction studies. The blending of poly(GVGVP) with PVP may provide an opportunity to produce new materials for potential biomedical applications. © 2018 Wiley Periodicals, Inc. J. Appl. Polym. Sci.2018,135, 46699.
High‐performance polyimide nanofibers reinforced polyimide nanocomposite films fabricated by co‐electrospinning followed by hot‐pressing
Authors: Xu W. , Ding Y. , Huang R. , Zhu Z. , Fong H. , Hou H. 
Published: September 2018

ABSTRACTThe objective of this study was to develop aligned electrospun polyimide (PI) nanofibers (with rigid macromolecular backbone) reinforced PI (with flexible macromolecular backbone) nanocomposite films. Owing to uniform dispersion of aligned PI nanofibers and excellent interfacial adhesion/interaction between filler and matrix, the resulting nanocomposite films exhibited superior mechanical and thermal properties. The nanocomposite films were fabricated by co‐electrospinning of two polyamic acids (PAAs) including a rigid PAA of poly(p‐phenylene biphenyltetracarboximide) (BPDA‐PDA) and a flexible PAA of poly(1,4‐bis (3′,4′‐dicarboxyphenoxy) phenyldiphenyl ether tetramine) (HQDA‐ODA); upon thermal imidization, hybrid PAA nanofiber belts (with different weight ratios of BPDA‐PDA/HQDA‐ODA) were converted into hybrid PI nanofiber belts. Subsequently, these nanofiber belts were hot‐pressed to fabricate HQDA‐ODA PI nanocomposite films reinforced with BPDA‐PDA PI nanofibers; in specific, the nanocomposite film consisting of 80 wt % BP‐PI nanofibers exhibited the highest tensile strength and modulus of 957 ± 18 MPa and 12.32 ± 0.32 GPa, respectively. The nanocomposite films also possessed excellent thermal/thermomechanical properties. Therefore, these fiber‐reinforced PI nanocomposite films might be promising high‐performance structural/engineering materials that would be particularly useful for high‐temperature applications. Moreover, the strategy of co‐electrospinning hybrid nanofiber belts followed by hot‐pressing could provide an innovative approach for making high‐performance polymer‐matrix composites. © 2018 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2018, 135, 46849.
Role of solvent on structure, viscoelasticity, and mechanical compressibility in nanocellulose‐reinforced poly(vinyl alcohol) hydrogels
Authors: Tummala G. K. , Bachi I. , Mihranyan A. 
Published: September 2018

ABSTRACTCellulose nanocrystals (CNCs) reinforced polyvinyl alcohol (PVA)‐based hydrogels with high water content and tunable mechanical properties that can be molded in to any desired shape are presented in this work. Freeze thawing of PVA‐CNC solutions in a mixed solvent system of dimethyl sulfoxide and water enabled to produce a set of physically crosslinked hydrogels with tunable mechanical properties. It was observed that the composition of the solvent altered the mechanical properties and network structure in the hydrogel systems. Differential scanning calorimetry was used to understand the thermal events behind solvent effect on the properties of the hydrogel. Optical microscopy results suggest that these hydrogels possess a macroporous structure. Furthermore, dynamic viscoelastic analysis and axial compression tests have shown that the viscoelastic and mechanical compression properties of the hydrogels improved upon reinforcement with CNC. Overall, the hydrogel enjoys appealing properties as a synthetic biomaterial for soft tissue applications. © 2018 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2019, 136, 47044.
Thermoresponsive behavior of graft copolymers based on poly(N,N‐dimethylacrylamide‐co‐diacetoneacrylamide) side chains
Authors: Guo Yongjun , Song Rutong , Feng Rusen , Dai Gang , Liang Yan , Pu Di , Zhang Xinmin , Ye Zhongbin 
Published: September 2018

ABSTRACTA thermoresponsive graft copolymer was synthesized through free radical copolymerization and a “graft onto” method in aqueous solution. The primary structure of the graft copolymer is constituted of a partially hydrolyzed polyacrylamide (HPAM) backbone and thermosensitive side chains [amino‐terminated poly(N,N‐dimethylacrylamide‐co‐diacetone acrylamide) or P(DMA‐co‐DAAM)] with molecular weight around 105 g/mol. The 1H‐NMR spectra at various temperatures showed the temperature of thermoassociation (Tass) in the copolymer. At the same time, the pyrene fluorescence measurements demonstrated the formation of hydrophobic microdomains of P(DMA‐co‐DAAM) above Tass. The thermothickening behavior of the graft copolymers was studied by viscosity measurements, and the results suggested that in semidilute solutions, the Tass and the magnitude of thermothickening could be regulated by varying the hydrolysis degree of the backbone, the composition of side chains, and the addition of NaCl. The oscillatory shear experiments demonstrated that the copolymer can present a remarkable elasticity increase as the temerature increased to Tass. These thermoassociating copolymers with temperature‐tunable properties can have potential applications as smart materials in enhanced oil recovery. © 2018 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2019, 135, 47051.
Nickel‐Catalyzed Difluoroalkylation of (Hetero)aryl Bromides with Unactivated 1‐Bromo‐1,1‐difluoroalkanes
Authors: He Xu , Gao Xing , Zhang Xingang 
Published: September 2018

AbstractAlthough extensive efforts on fluoroalkylations have been made over the past decade, new and efficient methods to incorporate fluorinated groups into organic molecules remain highly desirable. Herein, we report an efficient method for catalytic synthesis of difluoroalkylated (hetero)arenes through nickel‐catalyzed reaction between readily accessible (hetero)aryl bromides and unactivated 1‐bromo‐1,1‐difluoroalkanes. The reaction exhibits high functional group tolerance and broad substrate scope, providing a cost‐efficient and straightforward route for applications in medicinal chemistry.
Carbon‐Selective Difluoromethylation of Soft Carbon Nucleophiles with Difluoromethylated Sulfonium Ylide
Authors: Zhu Jiansheng , Zheng Hanliang , Xue Xiao‐Song , Xiao Yisa , Liu Yafei , Shen Qilong 
Published: September 2018

AbstractA highly carbon‐selective difluoromethylation of soft carbon nucleophiles including β‐ketoesters, malonates, oxindoles, benzofuranones and ketene silyl acetals with a difluoromethylated sulfonium ylide under mild conditions was described. Mechanistic studies suggest that these difluoromethylating reactions proceed via a difluorocarbene pathway.
Cooperative storage by exploiting graph‐based data placement algorithm for edge computing environment
Authors: Jin Jiahui , Li Yunhao , Luo Junzhou 
Published: September 2018

SummaryEdge computing is a new computing paradigm that performs data processing at the edge of the network (ie, edge servers) to lower data processing latency. Prior research significantly focused on offloading tasks from terminals to edge servers, yet most ignored how to store task's necessary data (such as databases and pretrained machine‐learning models) on edge servers. Today, as data‐intensive tasks such as deep learning and augmented reality become common, large data storage and powerful computation resources are needed. This is a cumbersome challenge, because many lightweight edge servers have limited resources. If an edge server does not have a task's necessary data, then it needs to offload the task to cloud datacenters or download the necessary data from the cloud. Either case could increase data processing latency. To address this problem, this paper proposes an edge‐side collaborative storage framework called Edge‐side Cooperative Storage (ECS). In ECS, edge servers collaboratively store and process data‐intensive tasks's necessary data. Here, we particularly focus on how to effectively place data on ECS, using an approach that differs from existing works (that model data placement problems as linear/integer programming problems). Our work models cooperative storage as a graph and solves the data placement problem by using a graph‐based iterative algorithm. This algorithm easily extends to a distributed version, so distributed ECSworks efficiently without a centralized scheduler. We also evaluate ECS's effectiveness and convergence through simulations. Simulation results show that ECSis 2× better than a traditional nonshared storage framework in terms of the cache hit rate.
DF‐DTM: Dynamic Task Memoization and reuse in dataflow
Authors: Rouberte Leandro , Sena Alexandre C. , Nery Alexandre S. , Marzulo Leandro A. J. , Alves Tiago A. O. , França Felipe M. G. 
Published: September 2018

SummaryInstruction Reuse is a technique adopted in Von Neumann architectures that improves performance by avoiding redundant execution of instructions when the result to be produced can be obtained by searching an input/output memoization table for such instruction. Trace reuse can be applied to traces of instructions in a similar fashion. However, those techniques are yet to be studied in the context of the Dataflow model, which has been gaining traction in the high performance computing community due to its inherent parallelism. Dataflow programs are represented by directed graphs where nodes are instructions or tasks and edges denote data dependencies between tasks. This work presents Dataflow Dynamic Task Memoization (DF‐DTM), a technique that allows the reuse of both nodes and subgraphs in dataflow, which are analogous to instructions and traces, respectively. The potential of DF‐DTM is evaluated by a series of experiments that analyze the behavior of redundant tasks in five relevant benchmarks, where up to 99.70% of the instantiated tasks could be reused. Moreover, this paper evaluates how reuse rates can be affected by limiting subgraph size, memoization table size, task granularity, and problem size, showing that DF‐DTM can yield good reuse rates in more realistic environments.