bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparison of Conjunctival Autograft Technique Using Autologous Blood as Glue Versus Suture Technique in Pterygium Surgery
Authors: Singh Suchita , Sonwani Prabha , Shrivastava M. 
Published: February 2020

Aim: To compare the post-operative inflammation, surgical time and complications in conjunctival autografting with oozed autologous blood versus sutures in primary pterygium surgery.
Study Design: Prospective interventional study.
Place and Duration of Study: Department of Ophthalmology, CIMS, Bilaspur (C.G), India. (Jan 2017-May 2018).
Methodology: 80 eyes of 80 patients (25 to 75 years) presented with primary pterygium up to grade 3 were included in this prospective interventional study presented in eye OPD, CIMS, Bilaspur (CG). All the procedures and post-operative evaluation was done by the same surgeon. All the patients were divided into two groups on alternate basis. 40 patients received conjunctival autografting with oozed autologous blood (CAGb) and 40 patients received sutures (CAGs). These two groups were then compared for post-operative inflammation, surgical time and complications (day 1, day 5, 2 weeks, 1 month and 3 month).
Result: Total 80 patients were evaluated after surgery. Progressive pterygium was observed in more than 50% cases in both groups. Post-operative inflammation and discomfort was significantly lower in CAGb group compared to CAGs group (P<.001). Mean surgical time was also significantly less in CAGb group (11.6±2 min) compared to CAGs group (21.6±3min) (P<.001). In CAGb group 5% patients had graft displacement while none in CAGs group. Granuloma formation was higher in CAGs group (12.5%) compared to CAGb group (7.5%). Subgraft haemorrhage was 10% in CAGb and 17.5% in CAGs group. Dellen formation was seen in 3 patients in CAGb and 4 patients in CAGs. Recurrence rate was higher in suture group (5/40 in CAGs vs 1/40 in CAGb).
Conclusion: Our study concludes that placement of conjunctival autograft with oozed autologous blood as adhesive after pterygium excision is an effective, less inflammatory and less time consuming approach, with significantly lower rates of post-operative complications. This can be used as a better alternative to suture technique.
Nitrogen in potato rotations with cover crops: Field trial and simulations using DSSAT
Authors: Geisseler Daniel , Wilson Rob 
Published: February 2020

AbstractA 2‐yr field trial was conducted in 2014−2015 in northern California to determine the N availability from different legume and grass cover crops grown during the summer and incorporated in fall. Russet Norkotah potato (Solanum tuberosum L.) were planted the following spring. The objectives of this study were to determine whether potato yield can be successfully predicted with the Decision Support System for Agrotechnology Transfer (DSSAT) model for different cover crop treatments and to assess the risk of nitrate (NO3−) leaching losses with winter precipitation. The total amount of N in the aboveground biomass of the legumes ranged from 73 to 253 kg ha−1. The potato yield of the unfertilized control reached 39 Mg ha−1, while it ranged from 34.8 to 47.9 Mg ha−1 in the cover crop treatments. The DSSAT model considerably underestimated the soil mineral N content before potato was planted in the treatments with legume cover crops. The results suggest that the legumes likely covered a larger proportion of their N requirements through N2 fixation and less through uptake of soil mineral N than predicted by the model. The inaccurate simulation of cover crop soil N uptake contributed to a poor prediction of potato yields for individual treatments. In contrast, the model was successful in simulating N mineralization from cover crop residues. Using weather data from a 30‐yr period revealed that NO3− leaching below the root zone of the subsequent potato crop is minimal in most winters.
Formulation and Characterization of Novel Nanostructured Lipid Carriers with Photoprotective Properties Made from Carnauba Wax, Beeswax, Pumpkin Seed Oil, and UV Filters
Authors: Chu Chee Chin , Hasan Zafarizal Aldrin Bin Azizul , Chua Siaw Kim , Nyam Kar Lin 
Published: February 2020

AbstractPumpkin seed oil (PSO) with carnauba wax and beeswax was used to develop nanostructured lipid carriers (NLC) loaded with a UV filter, Uvinul® A Plus B. The aims of the study were to optimize the concentration of PSO to develop a stable NLC formulation, determine storage stability of the NLC with and without PSO, and the synergistic effect of PSO‐NLC with UV filter for photoprotective properties. The physical properties of NLC were optimized based on the mean particle size, polydispersity index, and storage stability. The optimized NLC consisted 10% lipid phase (3.5% carnauba wax, 3.5% beeswax, and 3.0% PSO) and 90% aqueous phase. After optimization, Uvinul® A Plus B was added in the optimized PSO‐NLC to produce a photoprotective formulation. Uvinul® A Plus B consisted of both UVA (Diethylamino Hydroxybenzoyl Hexyl Benzoate) and UVB (Ethylhexyl Methoxycinnamate) filters. The NLC produced with PSO and Uvinul® A Plus B had mean particle size of 135 ± 2 nm and showed good physical stability under storage time. Besides that, the NLC produced also proven to have positive effect in enhancing the entrapment efficiency and drug loading, which were 82.86 ± 0.15% and 55.41 ± 0.04%, respectively, and showed sun protection factor value of 16.61 ± 3.45. The results indicated the presence of synergistic effect among the PSO‐NLC with Uvinul® A Plus B.
Implementation of model predictive control in tracking dynamic optimal profiles of semi batch autocatalytic esterification reactor
Authors: Rohman Fakhrony S. , Muhammad Dinie , Aziz Norashid 
Published: February 2020

AbstractOptimization of ester production that yields from sec‐butyl propionate in a batch operation mode need to be solved by dynamic–nonlinear programming‐based optimization because the dynamics of this autocatalytic esterification process can be described using the detailed first principle model. In order to maximize profit, the control vector parameterisation technique combined with a hybrid strategy, that is, a deterministic–stochastic nonlinear programming solver, is implemented by generating optimal temperature and feed flowrate trajectories. The final time and profit achieved is 60.0 min and RM 12.840 min−1, respectively. Model predictive control is then applied to track the optimal temperature trajectory obtained from the maximize profit study. The result reveals that the model predictive control is able to track the optimal temperature trajectory very well and consequently able to maintain the on‐spec product profit.
Reversible control of biomaterial properties for dynamically tuning cell behavior
Authors: Fumasi Fallon M. , Stephanopoulos Nicholas , Holloway Julianne L. 
Published: February 2020

AbstractIn the past decade, significant advances in chemistry and manufacturing have enabled the development of increasingly complex and controllable biomaterials. A key innovation is the design of dynamic biomaterials that allow for user‐specified, reversible, temporal control over material properties. In this review, we provide an overview of recent advancements in reversible biomaterials, including control of stiffness, chemistry, ligand presentation, and topography. These systems have wide‐ranging applications within biomedical engineering, including in vitro disease models and tissue‐engineered scaffolds to guide multistep biological processes.
FAM96B inhibits the senescence of dental pulp stem cells
Authors: Liang Hanbing , Li Wenzhi , Yang Haoqing , Cao Yangyang , Ge Lihua , Shi Ruitang , Fan Zhipeng , Dong Rui , Zhang Chen 
Published: February 2020

AbstractDental pulp stem cells (DPSCs) are considered a remarkable source for the regeneration of dental pulp tissues, but their therapeutic effectiveness remains limited, especially in elderly people. Previous studies found that senescence has a negative effect on the proliferation and differentiation potential of DPSCs. Moreover, numerous long non‐coding RNA (lncRNA) and messenger RNA were significantly differentially regulated in DPSCs from young and elderly donors. However, the changes in DPSCs protein during senescence have not been addressed. In this study, differences in DPSC protein expression profiles and coexpression of protein and lncRNA were analyzed using proteomics and bioinformatics. The results showed 75 upregulated proteins and 69 downregulated proteins in DPSCs from elderly donors. Vasopressin‐regulated water reabsorption, Parkinson's disease, Alzheimer's disease, and protein export were the top four functional pathways associated with DPSCs. High mobility group N1 (HMGN1), HMGN2, UCHL1, and the family with sequence similarity 96 member B homeobox gene (FAM96B) were associated with DPSCs senescence. Then, we investigated FAM96B function in DPSCs. After FAM96B depletion, telomerase reverse transcriptase (TERT) activity decreased, but the number of senescence‐associated β‐galactosidase (SA‐β‐gal) positive cells and the protein levels of p16, p53 were significantly increased. Gain‐of‐function assays suggested that FAM96B overexpression was positively correlated with TERT activity, but negatively correlated with the number of SA‐β‐gal positive cells and the protein levels of P16 and P53. Moreover, after FAM96B overexpression, the results showed a significant increase in alkaline phosphatase activity and an enhanced mineralization ability of DPSCs. The reverse‐transcription polymerase chain reaction results also showed that dentin sialophosphoprotein and osteocalcin were expressed at greater levels. The carboxyfluorescein succinimidyl ester (CFSE) results displayed that FAM96B increased the proliferation potential of DPSCs. Our study revealed candidate proteins that might be related to DPSCs senescence and provided information to elucidate the mechanism of the biological changes in DPSCs' aging. Moreover, FAM96B was demonstrated to play an important role in suppressing DPSCs senescence and promoting osteogenic differentiation and proliferation.
A Gold(I) Complex Containing an Oleanolic Acid Derivative as a Potential Anti‐Ovarian‐Cancer Agent by Inhibiting TrxR and Activating ROS‐Mediated ERS
Authors: Bian Mianli , Sun Ying , Liu Yuanhao , Xu Zhongren , Fan Rong , Liu Ziwen , Liu Wukun 
Published: February 2020

AbstractMany cancer cells critically rely on antioxidant systems for cell survival and are vulnerable to further oxidative impairment triggered by agents generating reactive oxygen species (ROS). Therefore, the classical design and development of inhibitors that target antioxidant defense enzymes such as thioredoxin reductase (TrxR) can be a promising anticancer strategy. Herein, it is shown that a gold(I) complex containing an oleanolic acid derivative (4 b) induces apoptosis of ovarian cancer A2780 cells by activating endoplasmic reticulum stress (ERS). It can inhibit TrxR enzyme activity to elevate ROS, mediate ERS and mitochondrial dysfunction, and finally leads to cell cycle arrest and apoptosis of A2780 cells. Notably, this complex inhibits A2780 xenograft tumor growth accompanied by increased ERS level and decreased TrxR activity in tumor tissues.
Iridium‐Catalyzed Regioselective B(3)‐Alkenylation/B(3,6)‐Dialkenylation of o‐Carboranes by Direct B−H Activation
Authors: Cheng Ruofei , Qiu Zaozao , Xie Zuowei 
Published: February 2020

AbstractIridium‐catalyzed formal alkyne hydroboration with cage B−H of o‐carborane has been achieved, leading to the controlled synthesis of a series of 3,6‐[trans‐(AlkCH=CH)]2‐o‐carboranes (Alk=alkyl), 3‐cis‐(ArCH=CH)‐o‐carboranes (Ar=aryl), and 3‐cis‐(ArCH=CH)‐6‐trans‐(AlkCH=CH)‐o‐carboranes in high yields with excellent regio‐ and very good cis–trans selectivity. The most electron‐deficient B(3,6)−H vertices favor oxidative addition on electron‐rich metal centers, which is responsible for the regioselectivity. On the other hand, the configuration of the resultant olefinic units is dominated by alkyne substituents. Alkyl groups lead to a trans‐configuration whereas bulky aryl substitutions result in cis‐configuration.
ZEBrA: Zebra finch Expression Brain Atlas—A resource for comparative molecular neuroanatomy and brain evolution studies
Authors: Lovell Peter V. , Wirthlin Morgan , Kaser Taylor , Buckner Alexa A. , Carleton Julia B. , Snider Brian R. , McHugh Anne K. , Tolpygo Alexander , Mitra Partha P. , Mello Claudio V. 
Published: February 2020

AbstractAn in‐depth understanding of the genetics and evolution of brain function and behavior requires a detailed mapping of gene expression in functional brain circuits across major vertebrate clades. Here we present theZebra finchExpressionBrainAtlas (ZEBrA;www.zebrafinchatlas.org, RRID: SCR_012988), a web‐based resource that maps the expression of genes linked to a broad range of functions onto the brain of zebra finches. ZEBrA is a first of its kind gene expression brain atlas for a bird species and a first for any sauropsid. ZEBrA's >3,200 high‐resolution digital images ofin situhybridized sections for ~650 genes (as of June 2019) are presented in alignment with an annotated histological atlas and can be browsed down to cellular resolution. An extensive relational database connects expression patterns to information about gene function, mouse expression patterns and phenotypes, and gene involvement in human diseases and communication disorders. By enabling brain‐wide gene expression assessments in a bird, ZEBrA provides important substrates for comparative neuroanatomy and molecular brain evolution studies. ZEBrA also provides unique opportunities for linking genetic pathways to vocal learning and motor control circuits, as well as for novel insights into the molecular basis of sex steroids actions, brain dimorphisms, reproductive and social behaviors, sleep function, and adult neurogenesis, among many fundamental themes.
Enhanced MRI‐Guided Gadolinium (III) Neutron Capture Therapy by Polymeric Nanocarriers Promoting Tumor Accumulation and Intracellular Delivery
Authors: Qin Changyuan , Hou Xuan , Khan Thahomina , Nitta Nobuhiro , Yanagawa Masashi , Sakurai Yuriko , Suzuki Minoru , Masunaga Shin‐Ichiro , Tanaka Hiroki , Sakurai Yoshinori , Takahashi Hiroyuki , Aoki Ichio , Yanagie Hironobu , Cabral Horacio 
Published: February 2020

AbstractGadolinium(III) (Gd(III)) chelates are promising compounds for developing MRI‐guided neutron capture therapies (NCT). However, despite their success as MRI contrast agents (CAs), current Gd(III) chelates do not present appropriate accumulation in tumors for effective NCT. To overcome this limitation, we developed a series of biocompatible polymeric nanocarriers conjugating Gd(III)‐chelates, i. e. Gd‐DOTA, as NCT agents with high MRI sensitivity and tumor delivery. These polymers were based on poly(aspartic acid) (P(Asp)) and were modified with poly(ethylene glycol) (PEG) chains having different molecular weight (Mw) for controlling stability and pharmacokinetics. The T1 relaxivity of the Gd‐DOTA conjugated polymers increased 2‐fold compared to that of clinically used Gd(III) CAs. In vivo, the PEG‐modified polymers promoted the accumulation in tumor tissues, enhancing the MRI contrast of tumors. After neutron irradiation, the nanocarriers effectively suppressed the tumor growth, particularly the PEG‐P(Asp‐Gd‐DOTA) with shorter PEG chain, which promoted higher intracellular delivery, supporting their potential as NCT agents.
Development of a machine learning model for extracting image prominent colors
Authors: Weingerl Primož , Hladnik Aleš , Javoršek Dejana 
Published: February 2020

AbstractAlthough an image can consist of myriad different colors, due to the limitations of the human visual system and the mechanism of selective visual attention, only a limited number of them are prominent, that is, they stand out or are noticeable at first sight. In this article, a framework for building a model for extracting image prominent colors based on machine learning is presented. The model is learned on human‐extracted themes of prominent colors and uses numerous features, which were defined based on the properties of human visual system. For the purpose of this study, we constructed a database of images with their associated human‐extracted themes of prominent colors, which are open to the public and available to other researchers. The analysis of observers' data shows a high interobserver agreement on prominent color categories as well as high diversity of prominent colors. According to our results, the most influential factors on the perception of prominent colors are associated with color coverage (which should be adjusted with a saliency map), color properties—lightness and chroma, and diversity of colors. To the best of our knowledge, this is the first study on image prominent colors and first attempt to extract them with a model trained on the real data. The presented model has a high practical importance, since it can be used for extracting image colors in different scenarios, for example, for automatic color design, image categorization, as a descriptor in content‐based image retrieval, and image content analysis frameworks.
Genotypic‐specific response to exogenous applied salicylic acid in tall fescue under different irrigation conditions
Authors: Pirnajmedin Fatemeh , Majidi Mohammad Mahdi , Taleb Hadi , Saeidi Ghodratollah , Shojaiefar Samira 
Published: February 2020

AbstractSalicylic acid (SA) is one of the endogenous plant growth regulators that play an important role in the regulation of plant growth and development in response to water deficit. Genotypic‐specific response to exogenous applied SA in terms of physiological, enzymatic activity, and yield traits is poorly understood in tall fescue [Lolium arundinaceum (Schreb.) Wimm. syn. Festuca arundinacea Schreb.]. Twenty genotypes of tall fescue (selected from a broad germplasm) were assessed at field condition for morphological and physiological characteristics during 2016 and 2017 under three irrigation levels (normal, mild, and intense drought stress) in the presence of two SA concentrations (0 and 1 mM). Mild and intense drought stress conditions led to depression in photosynthetic pigments including chlorophyll a and b and total chlorophyll contents, plant height, crown diameter, and forage yield, despite increases in proline content, carotenoids, catalase, peroxidase, and ascorbate peroxidase activities. Application of SA decreased the adverse effects of drought stress by elevation of photosynthetic pigments and nonenzyme and enzymatic antioxidant activities and could enhance forage yield and drought tolerance in tall fescue genotypes. High genetic variation was observed among the genotypes in their response to the application of SA under drought stress conditions, and genotypes 3L and 1E were recognized as drought tolerant and stable genotypes for future breeding programs.
Canopy temperature of high‐nitrogen water‐stressed cotton
Authors: Coast Onoriode , Harden Steven , Conaty Warren C. , Brodrick Rose , Edwards Everard J. 
Published: February 2020

AbstractAustralian cotton (Gossypium hirsutum L.) farmers are adopting canopy temperature (Tc)‐based irrigation scheduling as a decision support tool to improve on‐farm production. High N supply, characteristic of the high‐yielding, furrow‐irrigated cotton system of Australia, might alter cotton Tc with implications for irrigation. We examined growth, physiological, and biochemical traits and changes in Tc of well‐watered and water‐stressed cotton plants supplied with high to excessive levels of N under glasshouse conditions. We also examined Tc, lint yield, and fiber quality of furrow‐irrigated cotton crop supplied with high N. In the glasshouse and under well‐watered conditions, high N supply stimulated plant growth and increased stomatal conductance and photosynthesis, resulting in cooler Tc. Under water deficit stress, high N also stimulated growth, increasing plant water demand and thus vulnerability to water stress, which manifested as warmer Tc. Water‐stressed plants supplied high N also showed reduced stomatal conductance, lower leaf water potential, and greater accumulation of leaf and xylem sap abscisic acid. Furrow‐irrigated crops supplied higher N also had higher Tc, but there was no gain in lint yield and fiber quality. The influence of high N on cotton Tc suggests that the need for accurate and reliable Tc‐based irrigation scheduling is paramount.
Non‐isolated high step‐up dual‐input DC‐DC converter with zero‐voltage transition
Authors: Mirlohi Sayed Hossein , Yazdani Mohammad Rouhollah , Adib Ehsan , Amini Mohammad Reza 
Published: February 2020

SummaryIn this paper, a non‐isolated dual‐input DC‐DC converter with zero‐voltage transition (ZVT) is proposed for renewable energy systems. The proposed converter has high step‐up conversion gain without using any transformer or coupled inductors. The proposed structure consists of two boost cells, one diode‐capacitor multiplier cell, and one ZVT auxiliary circuit. The main switches turn on and off under zero voltage condition and the auxiliary switch turns on under zero current condition and turns off under zero current and zero voltage conditions. Soft switching conditions, high efficiency, continuous current of input sources, low‐voltage stress on switches, and returning the energy of the auxiliary circuit to the boost cell connected to the lower‐voltage input are the main advantages of the proposed converter. The steady‐state analysis of the converter and operation intervals are discussed. A 160‐W prototype of the proposed converter is designed and implemented. Experimental results confirm the theoretical analysis. The efficiency reaches 96.7% at the nominal load by providing soft‐switching for all switches. The proposed topology can be extended for multi‐input applications by expanding the number of diode‐capacitor multiplier and input boost cells.
A SECPG model for purchase behavior analysis in social e‐commerce environment
Authors: Lv Junjie , Wang Tong , Wang Hao , Yu Jianye , Wang Yuanzhuo 
Published: February 2020

SummaryIn social e‐commerce environment, consumers share commodity information with others frequently. It is urgent for social e‐commerce enterprises or merchants to learn rules about commodity information dissemination so as to improve the purchase rate of goods and predict the sales trend at the same time. In this paper, we extend the social e‐commerce customers' purchasing behavior game model (SECPG model) to simulate multiple complex social e‐commerce networks, so as to further quantify internal relation between users' information dissemination and online shopping behavior to a certain extent and predict the purchase rate in diverse social e‐commerce networks. The concept of relationship update frequency is introduced to the updating mechanism in social e‐commerce, and simulations are carried out for networks with various update frequency of social relations. Numerical simulations show that individuals' reputation and cost‐to‐benefit ratio both have specific ranges of influence on the purchase rate in social e‐commerce environment. And relationship update frequency is also a key factor for users to spread purchase information.