bluuebunny/crossref_metadata_2025_split huggingface dataset:
Discovery of SCY45, a Natural Small‐Molecule MDM2‐p53 Interaction Inhibitor
Authors: Gong Haifeng , An Juan , Dong Qiuxia , Li Jinxian , Yang Wei , Sun Wei , Su Zhanhai , Zhang Shoude 
Published: April 2019

AbstractThe disruption of the MDM2‐p53 interaction has been regarded as an attractive strategy for anticancer drug discovery. Here, the natural small‐molecule SCY45 was identified as a potent MDM2‐p53 interaction inhibitor based on fluorescence polarization and molecular modeling. SCY45 inhibited the MDM2‐p53 interaction with an IC50 value of 4.93±0.08 μm. The structural modeling results showed that SCY45 not only had high structural similarity with nutlin‐3a, a well‐reported MDM2‐P53 interaction inhibitor, but also bound to the p53 binding pocket of MDM2 with a binding mode similar to that of nutlin‐3a. Moreover, SCY45 reduced the cell viability in cancer cells with MDM2 gene amplification. SCY45 showed the highest inhibition for SJSA‐1 cells, which exhibit excessive MDM2 gene amplification, with an IC50 value of 7.54±0.29 μm, whereas SCY45 showed a weaker inhibition for 22Rv1 cells and A549 cells, which have a single copy of the MDM2 gene, with IC50 values of 18.47±0.75 μm and 31.62±1.96 μm, respectively.
Modular Enzyme‐ and Light‐Based Activation of Cyclopropene–Tetrazine Ligation
Authors: Jiang Ting , Kumar Pratik , Huang Wei , Kao Wei‐Siang , Thompson Adrian O. , Camarda Frank M. , Laughlin Scott T. 
Published: April 2019

AbstractWe describe a modular activation strategy for cyclopropene–tetrazine ligation. This activation strategy uses chemically diverse enzyme‐ or photolabile protecting groups as cyclopropene reactivity cages. The linkages between the caging groups and cyclopropene are through carbamates, thus permitting the application of diverse cages to allow bioorthogonal reactivity by administering enzymes or light.
In Situ Generated Cobalt Catalyst for the Dehydrogenative Coupling of Alcohols and Amines into Imines
Authors: Bottaro Fabrizio , Madsen Robert 
Published: April 2019

AbstractAn in situ formed cobalt catalyst is developed from cobalt(II)bromide, bis[2‐(diisopropylphosphino)‐4‐methylphenyl]amine and zinc metal. The catalyst mediates the acceptorless dehydrogenative coupling of alcohols and amines into imines with the release of hydrogen gas and the transformation is applied to the synthesis of a variety of imines from different alcohols and amines. The mechanism is investigated with labelled substrates and based on the results a cobalt(I) PNP complex is believed to be the catalytically active species which abstracts hydrogen gas from the alcohol through a metal ligand bifunctional pathway.
Aerobic Homocoupling of Arylboronic Acids Catalyzed by Regenerable Pd(II)@MIL‐88B‐NH2(Cr)
Authors: Valiente Alejandro , Carrasco Sergio , Sanz‐Marco Amparo , Tai Cheuk‐Wai , Bermejo Gómez Antonio , Martín‐Matute Belén 
Published: April 2019

AbstractA fast and operationally simple method for the aerobic homocoupling of arylboronic acids is described. The process is catalyzed by Pd(II) complexes supported on the metal‐organic framework MIL‐88B‐NH2(Cr). The benefits of this approach include the use of a benign oxidant/solvent mixture at room temperature with catalytic amounts of base, easy recovery of the catalyst, and easy isolation of the products. Very high conversions and good yields were achieved for a variety of substrates, and the process was also carried out on a larger scale with the same efficiency. The catalyst was found to suffer deactivation due to progressive reduction and agglomeration of palladium into inactive metal clusters/particles. An innovative procedure for the oxidative redispersion and regeneration of the active Pd(II)@MOF species is presented.
Bi2S3/Ketjen Black as a Highly Efficient Bifunctional Catalyst for Long‐Cycle Lithium‐Oxygen Batteries
Authors: Xu Peng , Zhu Jiajia , Chen Congdi , Xie Jian , Wang Miao 
Published: April 2019

AbstractA catalyst that possesses an efficient bifunctional catalytic activity is vital to achieve long‐life lithium‐oxygen (Li−O2) batteries. Herein, a bismuth sulfide/Ketjen black (Bi2S3/KB) hybrid is synthesized through a one‐step hydrothermal method and used as a bifunctional catalyst in Li−O2 batteries. The results demonstrate that Li−O2 batteries with the Bi2S3/KB hybrid exhibit both a higher capacity and a lower overpotential than those with the bare bismuth sulfide (Bi2S3) and KB catalysts. A Li−O2 battery with the Bi2S3/KB catalyst shows an excellent cycle life of 391 cycles at 1000 mA h g−1, which is one of the best results for batteries with sulfide catalysts. The excellent electrochemical performance of the batteries originates from the synergistic catalytic effect between Bi2S3 and KB. It is found that the Li2O2 is deposited on Bi2S3 nanorods prior to on KB upon discharge, which can defer the deactivation of the cathode and inhibit the side reactions.
Second‐order multivariate calibration with the extended bilinear model: Effect of initialization, constraints, and composition of the calibration set on the extent of rotational ambiguity
Authors: Olivieri Alejandro C. 
Published: April 2019

AbstractExtended bilinear modeling is popular in second‐order multivariate calibration, particularly when the matrix data for each sample are of chromatographic origin. Since elution time profiles vary across samples, in both shape and peak position, it is not possible to process these data in a three‐way trilinear format. In these cases, the most successful model for quantitating analytes in the presence of interferents is multivariate curve resolution‐alternating least squares (MCR‐ALS) in its extended version, ie, processing an augmented data matrix built with the matrices for a test sample and the calibration samples, appended in the direction of the elution time mode. MCR‐ALS starts with certain initial profiles and applies a set of natural constraints during the ALS phase, whose purpose is to reduce the range of feasible solutions or to lead to unique bilinear solutions if possible. In this report, a simulated second‐order three‐component system (two calibrated analytes and one uncalibrated interferent in test samples) is studied regarding the presence of rotational ambiguity in the bilinear solutions, using (a) a grid search methodology to compute the feasible solutions and (b) MCR‐ALS on a large set of test samples to estimate the average prediction errors. Various initialization schemes and constraints are probed, and the results are compared in terms of the extent of rotational ambiguity and global uncertainty in predicted concentrations.
High‐Field Detection of Biomarkers with Fast Field‐Cycling MRI: The Example of Zinc Sensing
Authors: Bödenler Markus , Malikidogo Kyangwi P. , Morfin Jean‐François , Aigner Christoph Stefan , Tóth Éva , Bonnet Célia S. , Scharfetter Hermann 
Published: April 2019

AbstractMany smart magnetic resonance imaging (MRI) probes provide response to a biomarker based on modulation of their rotational correlation time. The magnitude of such MRI signal changes is highly dependent on the magnetic field and the response decreases dramatically at high fields (>2 T). To overcome the loss of efficiency of responsive probes at high field, with fast‐field cycling magnetic resonance imaging (FFC‐MRI) we exploit field‐dependent information rather than the absolute difference in the relaxation rate measured in the absence and in the presence of the biomarker at a given imaging field. We report here the application of fast field‐cycling techniques combined with the use of a molecular probe for the detection of Zn2+ to achieve 166 % MRI signal enhancement at 3 T, whereas the same agent provides no detectable response using conventional MRI. This approach can be generalized to any biomarker provided the detection is based on variation of the rotational motion of the probe.
An efficient method for allocating resources in a cloud computing environment with a load balancing approach
Authors: Pourghaffari Ali , Barari Morteza , Sedighian Kashi Saeed 
Published: April 2019

SummaryCloud computing technology forms a computational ensemble of large computing services and systems. Recently, it has been the focus of research on resource management, task scheduling, and effective resource sharing among users. Given the computational and resource management challenges in cloud computing, an improved method is required to approach the optimal allocation of resources. The current research combines evolutionary algorithms, fuzzy logic and task scheduling techniques to improve computational cloud resource allocation with the aim of maintaining load balance in cloud providers. Simulation of the proposed model reveals that the response time, task execution time, and energy consumption of the proposed method are better than for those of other methods.
An efficient KP design framework of attribute‐based searchable encryption for user level revocation in cloud
Authors: Mamta  , Gupta B.B. 
Published: April 2019

SummaryAttribute‐based searchable encryption (ABSE) is the combination of attribute‐based encryption (ABE) and searchable encryption with the inherent benefits of fine‐grained access control and expressive searching capabilities in multiuser setting. In this paper, we have used the key‐policy (KP) design framework of ABE and named the scheme KP‐ABSE. The proposed KP‐ABSE scheme efficiently supports user revocation where the computationally intensive tasks are delegated to the cloud server. Furthermore, the proposed scheme generates constant‐size user secret keys and trapdoors and has constant number of pairing operations, which in other schemes typically varies with the number of attributes associated with them. Thus, the proposed scheme reduces computational and storage costs and supports fast searching. Finally, the proposed scheme can be proven secure under a decision linear assumption in a selective security model.
An enhanced 3DCNN‐ConvLSTM for spatiotemporal multimedia data analysis
Authors: Wang Tian , Li Jiakun , Zhang Mengyi , Zhu Aichun , Snoussi Hichem , Choi Chang 
Published: April 2019

SummaryAt present, human action recognition is a challenging and complex task in the field of computer vision. The combination of CNN and RNN is a common and effective network structure for this task. Especially, we use 3DCNN in CNN part and ConvLSTM in RNN part. We divide the video into multiple temporal segments by average and compress each segment into one feature map by pooling layer. Adding the pooling layer, dropout layer, and batch normalization layer into ConvLSTM is our groundbreaking work. We test our model on KTH, UCF‐11, and HMDB51 datasets and achieve a high accuracy of action recognition.
MOVPE of Group‐III Heterostructures for Optoelectronic Applications
Authors: Scholz Ferdinand 
Published: April 2019

AbstractThe method of metalorganic vapor phase epitaxy (MOVPE) has developed over the recent 50 years into an indispensable tool in research and industrial production for novel compound semiconductor structures and devices. This article provides a brief explanation of its historical development and basic functionality. A major focus will be laid on the growth of group‐III nitride heterostructures which, on the one hand, owing to their unique material properties, impose challenging problems, but, on the other hand, have evolved into the most important semiconductor family just after silicon mainly due to their application in solid‐state lighting, which would not be possible without their successful growth by MOVPE.
Palladium‐Catalyzed Oxidation Reactions of Alkenes with Green Oxidants
Authors: Hu Miao , Wu Wanqing , Jiang Huanfeng 
Published: April 2019

AbstractTransition‐metal‐catalyzed oxidative functionalization of alkenes has emerged as a powerful and valuable tool in modern organic synthesis. Recently, many methods have been established for the assembly of C−C and C–heteroatom bonds, which provides tremendous possibility for application in biology, medicine, and materials science. However, the use of stoichiometric amounts of strong oxidants leads to poor selectivity, low atom economy, and a series of undesired waste products. By contrast, green oxidants, such as O2, H2O2, or tert‐butyl hydroperoxide (TBHP), have bright prospects due to their attributes of mild, low cost, and great sustainability in transition‐metal‐catalyzed oxidation reactions. Based on the great and unique potential for the development of aerobic reactions, this review mainly highlights homogenous palladium‐catalyzed green oxidations of alkenes that have been reported in recent years. These methods provide new strategies for the transformation and functionalization of alkenes; some of them have also been successfully applied to the synthesis of the core structures of drugs and natural products. Additionally, through in‐depth studies of the reaction mechanisms in this field, it is believed that palladium‐catalyzed green oxidation reactions of alkenes with O2, H2O2, or TBHP will create added value for organic synthetic chemistry.
Meta‐analysis supports further refinement of eDNA for monitoring aquatic species‐specific abundance in nature
Authors: Yates Matthew C. , Fraser Dylan J. , Derry Alison M. 
Published: April 2019

AbstractThe use of eDNA to detect the presence/absence of rare or invasive species is well documented and its use in biodiversity monitoring is expanding. Preliminary laboratory research has also shown a positive correlation between the concentration of species‐specific eDNA particles and the density/biomass of a species in a given environment. However, the extent to which these results can be extended to natural environments has yet to be formally quantified. We collated data from experiments that examined the correlation between eDNA and two metrics of abundance (biomass and density) and, using mixed‐effects meta‐analysis, quantified the strength of that correlation across laboratory and natural environments. We found that eDNA particle concentration was more strongly correlated with abundance in laboratory environments compared to natural environments, accounting for approximately 82% and 57% of the observed variation in abundance, respectively. We found some evidence of potential publication bias that may have impacted the estimation of the correlation in natural environments; after smaller studies were removed from the dataset, eDNA particle concentration accounted for approximately 50% of the observed variation in abundance in natural environments. No effect of abundance metric was found on the strength of correlation between eDNA particle concentration and abundance. Despite a weaker general correlation in natural environments, eDNA concentration often still explained substantial variation in abundance. eDNA research is still an emergent field of study; with only moderate improvements in technology or technique, it could represent a powerful new tool for quantifying abundance.
Preparation of bioactive peptides with antidiabetic, antihypertensive, and antioxidant activities and identification of α‐glucosidase inhibitory peptides from soy protein
Authors: Wang Rongchun , Zhao Hongxing , Pan Xiaoxi , Orfila Caroline , Lu Weihong , Ma Ying 
Published: April 2019

AbstractIn this study, the peptides of soy protein obtained by enzymatic digestion with proteases were analyzed for their antidiabetic, antihypertensive, and antioxidant activities. Peptides prepared with alkaline proteinase (AP) exhibited the highest α‐glucosidase inhibitory activity compared with those from papain and trypsin digestion. AP hydrolysates also exhibited dipeptidyl peptidase IV (DPP‐IV) inhibitory, angiotensin‐converting enzyme (ACE) inhibitory, and antioxidant activities. Gastrointestinal digestion of peptides enhanced α‐glucosidase, DPP‐IV, and ACE inhibitory activities compared with AP hydrolysates. AP peptides showing highest α‐glucosidase inhibitory activity were purified by anion‐exchange and size‐exclusion chromatography， and identified using tandem MS. We found three novel α‐glucosidase inhibitory peptides with sequences LLPLPVLK, SWLRL, and WLRL with IC50 of 237.43 ± 0.52, 182.05 ± 0.74, and 162.29 ± 0.74 μmol/L, respectively. Therefore, peptides hydrolyzed from soy protein are promising natural ingredients for nutraceutical applications assisting in the management of diabetes.
Fluid inclusions and H–O–C–S isotope constraints on fluid evolution and ore genesis of the Wangjiadashan Cu–Au deposit in Suizao area of the Tongbai‐Dabie orogenic belt, central China
Authors: Niu Pan‐Pan , Jiang Shao‐Yong , Hu Qi‐Sheng , Xu Tian‐liang , Xiong Suo‐Fei 
Published: April 2019

The Wangjiadashan Cu–Au deposit is a vein‐type deposit controlled by the secondary faults of the Wushan Fault zone in the Suizao area of Hubei Province. Three hydrothermal stages are identified, namely, (I) barren quartz stage, (II) the quartz‐sulphide stage, and (III) quartz‐carbonate stage. Six types of fluid inclusions occur in quartz: (a) liquid‐rich aqueous fluid inclusions (L + V), (b) vapour‐rich aqueous‐carbonic fluid inclusions (V + L), (c) water‐rich aqueous‐carbonic fluid inclusions (L + V + CO2), (d) CO2‐rich aqueous‐carbonic fluid inclusions (V + L + CO2), (e) pure carbonic fluid inclusions (pure CO2), and (f) daughter mineral‐bearing multiphase inclusions (S‐type) with three subclasses (S1, S2, and S3 subtype). Two types of fluid inclusions occur in calcite: (a) liquid‐rich aqueous fluid inclusions (L + V) and (b) pure carbonic fluid inclusions (pure CO2). The S‐type fluid inclusions include halite (NaCl), calcite (CaCO3), and chalcopyrite (CuFeS2). The fluid system is composed of CO2–NaCl–H2O. The homogenization temperatures of the three stages are 295°C to 390°C, 245°C to 280°C, and 200°C to 241°C, with salinities of 7.3–19.8 wt% NaCl equiv. (except for several high values of 33.8 to 44.3 wt% NaCl equiv.), 7.7–13.7 wt% NaCl equiv., and 5.6–10.1 wt% NaCl equiv., respectively. Fluid immiscibility occurred in stage I that accounts for the high‐salinity fluids, but the dominant ore precipitation occurred afterward during temperature drop. In situ sulphur isotope analysis indicates a δ34S value around 0 (+1.1% to +2.2%) for the chalcopyrite, suggesting that the sulphur likely derived from the deep‐seated magma. Pyrites show δ34S values from −0.5‰ to +6.5‰ in stage II, from +0.7‰ to +6.6‰ in country rock of marble, but significantly higher from +12.8‰ to +21.7‰ in country rock of greenschist. These results indicate the sulphur for pyrite in stage II likely derived from the mixing of deep‐seated magma and country rocks. From stages I to II, a slightly increase of δD (from −86‰ and −73‰ to −59‰ and −56‰) and a decrease of δ18O (from 8.9‰ and 7.1‰ to 1.3‰ and 3.4‰) indicate that an increasing involvement of meteoric water. The carbon isotopes of fluid inclusions CO2 in quartz of stage I (−11.0‰ to −13.0‰) indicate a major magmatic or metamorphic carbon source mixed with minor sedimentary sourced carbon, but a major organic carbon source (−32.0‰ to −35.0‰) for stage II fluids. In conclusion, the Wangjiadashan Cu–Au deposit belongs to the orogenic type.
Prognostic analysis of amyotrophic lateral sclerosis based on clinical features and plasma surface‐enhanced Raman spectroscopy
Authors: Zhang Qi‐Jie , Chen Yang , Zou Xiao‐Huan , Hu Wei , Lin Xue‐Liang , Feng Shang‐Yuan , Chen Fa , Xu Liu‐Qing , Chen Wan‐Jin , Wang Ning 
Published: April 2019

AbstractAmyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease with a wide range of survival times. We aimed to explore prognostic factors related to short survival based on clinical features and plasma metabolic signatures using surface‐enhanced Raman spectroscopy (SERS). One hundred and thirty‐eight sporadic ALS cases were enrolled serially, including 62 for the short‐duration group (≤3 years) and 76 for the long‐duration group (>3 years). Multivariate analysis showed that an older age of onset (>60 years; odds ratio [OR] = 3.98, 95% CI: 1.09‐14.53), lower body mass index (BMI) (<18.5; OR = 6.80, 95% CI: 1.36‐33.92), and lower ALSFRS‐R score (<35; OR = 6.03, 95% CI: 1.42‐25.63) were associated with higher odds of tracheotomy or death, while a higher uric acid (UA) level showed a protective effect (>356.36 μmol/L; OR = 0.19, 95% CI: 0.05‐0.73). SERS analysis showed significant differences between the two groups, and pathway analysis highlighted five main metabolic pathways, including metabolisms of glutathione, pyrimidine, phenylalanine, galactose, and phenylalanine‐tyrosine‐tryptophan biosynthesis. In conclusion, age of onset, BMI, ALSFRS‐R score and UA, together with dysregulation of glucose, amino acid, nucleic acid, and antioxidant metabolism contributed to disease progression, and are therefore potential therapeutic targets for ALS.
MCM10 facilitates the invaded/migrated potentials of breast cancer cells via Wnt/β‐catenin signaling and is positively interlinked with poor prognosis in breast carcinoma
Authors: Yang Wei‐Dong , Wang Lu 
Published: April 2019

AbstractThe minichromosome maintenance protein 10 (MCM10) is one of the MCM proteins that initiate DNA replication by interacting with CDC45‐MCM2–7. It has been reported that MCM10 has a role in breast cancer progression. However, MCM10 in breast cancer is still not comprehensively studied and further research is needed. This study was aimed at investigating the potential effects of MCM10 on metastasis, the prognosis of breast carcinoma, and its underlying mechanisms. Using the ONCOMINE database and the Kaplan‐Meier Plotter, MCM10 was significantly overexpressed in cancers, and high expression of MCM10 was involved in the poor prognosis of breast carcinoma. MCM10 can promote the proliferation, migration, and invasion of MDA‐MB‐231 cells. MCM10 knockdown brought about a radical reversal in cell behaviors. Meanwhile, decreased expression of β‐catenin and cyclin Dl was detected in MCM10 short hairpin RNA cells, implying that MCM10 might induce breast cancer metastasis via the Wnt/β‐catenin pathway.MCM10 can be defined as a potential diagnostic tool and a promising target for breast carcinoma.