bluuebunny/crossref_metadata_2025_split huggingface dataset:
A UPLC–MS/MS method for comparative pharmacokinetics study of morusin and morin in normal and diabetic rats
Authors: Liu Jia , Mu Yanling , Xiong Shan , Sun Peilu , Deng Zhipeng 
Published: February 2019

AbstractThe aim of this study was to establish and validate a rapid, selective and reliable ultra‐performance liquid chromatography–tandem mass spectrometry (UPLC–MS/MS) for simultaneous quantitations of morin and morusin, and to investigate their pharmacokinetics difference between normal and diabetic rats after oral administration. Plasma samples were pretreated via protein precipitation with acetonitrile. Genkwanin was used as internal standard (IS). Analytes and IS were separated on a Thermo Hypersil Gold C18 column (50 × 4.6 mm, 3 μm) using gradient elution. The mobile phase consisted of acetonitrile and 0.1% formic acid in water at a flow rate of 0.5 mL/min. Mass spectrometry detection was carried out by means of negative electrospray ionization source and multipe‐reaction monitoring mode. The transitions of m/z 300.9 → 151.2 for morin, m/z 419.2 → 297.1 for morusin and m/z 283.1 → 268.2 for IS were chosen for quantification. Calibration curves were linear in the range of 1.01–504.2 ng/mL (r2 ≥ 0.99) for morin and 1.02–522.3 ng/mL (r2 ≥ 0.99) for morusin. The lower limit of quantification was 1.02 ng/mL for morin and 1.05 ng/mL for morusin. The extraction recovery was >85.1% for each analyte. No obvious matrix effect was observed under the present UPLC–MS/MS conditions during all of the bioanalysis. The stability study demonstrated that morin and morusin remained stable during the whole analytical procedure. The method was successfully applied to support the pharmacokinetic comparisons of morin and morusin between normal and diabetic rats.
“Nothing is just smooth or perfect”: What can students learn from intensively reviewing psychotherapy conducted by experienced therapists whilst being focused on emotional processes?
Authors: Schanche Elisabeth , Hjeltnes Aslak , Nielsen Geir Høstmark , Stige Signe Hjelen , Stiegler Jan Reidar 
Published: February 2019

AbstractObjectiveThe aim of this pilot study was to explore what students of psychotherapy learn from intensively reviewing the work of experienced therapists whilst being focused on process measures developed to capture clients' emotional expressions.MethodsWe interviewed 12 students who participated in the training and coding of emotional processes in psychotherapy to explore their learning experiences. The interviews were analysed using a thematic analysis methodology. In addition, we explored the change in clinical self‐efficacy among 26 students who participated in the training, and coding compared to scores from a sample of 26 fellow students who did not participate.ResultsThree main themes in the participating students' descriptions of what they learned were identified: (1) You notice emotions better. An increase in emotional awareness and ability to identify emotional patterns both in the role as therapist and in one's own life (2) It feels a bit like model learning. Recognising the importance of interpersonal skills such as listening, being empathic and present as a therapist. (3) Even experienced therapists fumble. Developing more realistic and moderate expectations of the role as therapist, and feeling less anxious of entering the therapist role.ConclusionsTeaching students to code emotional processes and then giving them the opportunity to observe and code psychotherapy as it naturally unfolds over time may represent a promising approach to foster relevant therapeutic skills, reducing performance anxiety and thus preparing students for the role as a therapist. Implications for training are discussed.
Signaling can increase consumers' willingness to pay for green products. Theoretical model and experimental evidence
Authors: Berger Joël 
Published: February 2019

AbstractMany green products are costlier than their nongreen counterparts, for a variety of reasons. This “green premium” is a key challenge marketers face when targeting consumers with these green products. A potential solution to this issue is provided by signaling theory. According to the theory, green products can have a signaling benefit. This benefit acts as an incentive for consumers to pay a premium for environmentally friendly products that can even out their price disadvantage (the green signaling hypothesis). Previous studies have tested the green signaling hypothesis with hypothetical buying decisions. The research at hand tests the green signaling hypothesis with incentive‐compatible purchase decisions in a laboratory setting with student subjects. As predicted, subjects exhibit a higher willingness to pay for green products when the product choice (a nongreen product vs. a costlier green counterpart) is public rather than private. The results also suggest that green signalers are treated more favorably in social interactions. The main result is that a signaling benefit can even out moderate green premiums. One implication of this is the idea that marketers should design green products that are costlier than their nongreen counterparts in a way that renders them clearly recognizable as green. At the same time, marketers should avoid marketing everyday green products with a high green premium.
Compilation of Modern Technologies To Map Genome‐Wide Cytosine Modifications in DNA
Authors: Zeng Hu , He Bo , Yi Chengqi 
Published: February 2019

AbstractOver the past few decades, various DNA modification detection methods have been developed; many of the high‐resolution methods are based on bisulfite treatment, which leads to DNA degradation, to a degree. Thus, novel bisulfite‐free approaches have been developed in recent years and shown to be useful for epigenome analysis in otherwise difficult‐to‐handle, but important, DNA samples, such as hmC‐seal and hmC‐CATCH. Herein, an overview of advances in the development of epigenome sequencing methods for these important DNA modifications is provided.
Progesterone and fluoxetine treatments of postpartum depressive‐like behavior in rat model
Authors: Hu Zhiying , Du Xiaoxue , Yang Yang , Botchway Benson O.A. , Fang Marong 
Published: February 2019

AbstractResearch studies have indicated that alterations in plasma progesterone levels might be associated with the hippocampal synaptic plasticity of postpartum depressive‐like behavior. Herein, we assess both progesterone and fluoxetine effects in adult female Sprague‐Dawley rats with postpartum depressive‐like behavior. Depressive‐like behavior of postpartum rats was established using chronic ultra‐mild stress (CUMS) method for 1 week from gestation day 15. Postpartum rats that showed depressive‐like behavior were treated with either progesterone (subcutaneously, 0.5 mg/kg) from gestation day 17 to gestation day 22 or fluoxetine (by gavage, 10 mg/kg/day) for 4 weeks after birth. Open field and sucrose preference tests were conducted at the start, week 2 and week 4 postpartum. Golgi staining, immunofluorescence and Western blot analyses of rats’ hippocampi were conducted on week 4 postpartum. Results showed CUMS increases depressive‐like behavior, however, treatment with progesterone and fluoxetine improves this behavior. Both progesterone and fluoxetine treatments increase the numbers of dendritic spines pyramidal neurons in the CA3 region of the hippocampus as well as protein expression levels of microtubule‐associated protein 2 (MAP‐2) and synaptophysin (SYP). CUMS‐induced decrement of MAP–2 and SYP protein expressions can be prevented by treatment with progesterone in advanced pregnant stage and fluoxetine in the postpartum period.
Intravascular lithotripsy‐assisted Impella insertion: A case report
Authors: Riley Robert F. , Corl John D. , Kereiakes Dean J. 
Published: February 2019

AbstractCoronary and peripheral arterial calcification increases the complexity of percutaneous treatment strategies in both coronary and peripheral interventions. The first use of intravascular lithotripsy (IVL) using the Shockwave IVL device (Shockwave Medical Inc) in femoropopliteal arteries for modification of calcified plaque was recently described. We present a case illustrating use of the device to deliver a 14 French sheath for delivery of an Impella mechanical circulatory device prior to high‐risk percutaneous coronary intervention (PCI). This case illustrates that IVL may be used to facilitate a broadening array of procedures in the catheterization laboratory, including the delivery of large bore sheathes.
Spray‐Flame‐Synthesized LaCo1−xFexO3 Perovskite Nanoparticles as Electrocatalysts for Water and Ethanol Oxidation
Authors: Alkan Baris , Cychy Steffen , Varhade Swapnil , Muhler Martin , Schulz Christof , Schuhmann Wolfgang , Wiggers Hartmut , Andronescu Corina 
Published: February 2019

AbstractCoupling electrochemical generation of hydrogen with the concomitant formation of an industrially valuable product at the anode instead of oxygen can balance the high costs usually associated with water electrolysis. We report the synthesis of a variety of nanoparticulate LaCo1−xFexO3 perovskite materials through a specifically optimized spray‐flame nanoparticle synthesis method, using different ratios of La, Co, and Fe precursor compounds. Structural characterization of the resulting materials by XRD, TEM, FTIR, and XPS analysis revealed the formation of mainly perovskite‐type materials. The electrocatalytic performance of the formed perovskite‐type materials towards the oxygen evolution reaction and the ethanol oxidation reaction was investigated by using rotating disk electrode voltammetry. An increased Fe content in the precursor mixture leads to a decrease in the electrocatalytic activity of the nanoparticles. The selectivity towards alcohol oxidation in alkaline media was assessed by using the ethanol oxidation reaction as a model reaction. Operando electrochemistry/ATR‐IR spectroscopy results reveal that acetate and acetaldehyde are the final products, depending on the catalyst composition as well as on the applied potential.
Electrochemically Mediated Atom Transfer Radical Polymerization of Methyl Methacrylate: The Importance of Catalytic Halogen Exchange
Authors: De Bon Francesco , Isse Abdirisak A. , Gennaro Armando 
Published: February 2019

AbstractElectrochemically mediated atom transfer radical polymerization (eATRP) of methyl methacrylate (MMA) was studied in 1‐butyl‐3‐methylimidazolium triflate ([BMIm][OTf]) and ethanol. When 2‐bromopropionitrile and ethyl 2‐bromoisobutyrate were used as initiators, poorly controlled or uncontrolled polymerizations yielding polymers with molecular weights largely exceeding the theoretical values were obtained. Poor control was attributed to a reactivity mismatch between initiator and dormant species, which was successfully suppressed by combining eATRP with catalytic halogen exchange. Well‐defined polymers (Mn>30000 and Ð<1.2) were obtained in both solvents under optimized conditions. The possibility of using PMDETA as an inexpensive ligand in combination with ethyl α‐bromophenylacetate as initiator was also successful. Good chain‐end fidelity during eATRP was confirmed by chain extension of PMMA‐Cl macroinitiator with MMA in ethanol. Polymers prepared in both solvents were found to be mainly syndiotactic, without any solvent effect on tacticity.
Real‐time diagnostics of the olefin production process
Authors: Osipenko Uliana , Rusinov Leon 
Published: February 2019

AbstractThe olefin production process is explosive and fire hazardous. Thus, the development of a diagnostic system for earlier identifying abnormal situations and determining their causes is an important task. Analysis of the process is executed to elaborate a diagnostic model. Possible abnormal situations, their location, and symptoms are determined. It is proposed to realize process monitoring with the aid of widely used PCA. Monitoring of the process state is carried out according to the PCA model by the control of statistics T2 and Q in the principal component subspace and residual subspace, respectively. To determine the causes of abnormal situations, it is proposed to use a combined two‐level frame production diagnostic model. The upper level of the model is formed by the network of root frames, and the lower level contains daughter frames with production rules that describe abnormal situations. The working capacity of the model is shown with the help of a specialized expert shell. The possibility of using a diagnostic system to monitor the activity of catalyst and maintain roughly constant yield of olefins during catalyst coking is shown.
Relative Reactivities of Three Isomeric Aromatic Biradicals with a 1,4‐Biradical Topology Are Controlled by Polar Effects
Authors: Ma Xin , Jin Chunfen , Wang Duanda , Nash John J. , Kenttämaa Hilkka I. 
Published: February 2019

AbstractUnexpectedly, the 5‐dehydroquinoline radical cation was formed in the gas phase from the 5‐iodo‐8‐nitroquinolinium cation upon ion‐trap collision‐activated dissociation. This reaction involves the cleavage of a nitro group to generate an intermediate monoradical, namely, the 8‐dehydro‐5‐iodoquinolinium cation, followed by rearrangement through abstraction of a hydrogen atom from the protonated nitrogen atom by the radical site. Dissociation of the rearranged radical cation through elimination of an iodine atom generates the 5‐dehydroquinoline radical cation. The mechanism was probed by studying isomeric biradicals and performing quantum chemical calculations. The 5‐dehydroquinoline radical cation showed greater gas‐phase reactivity toward dimethyl disulfide, cyclohexane, and allyl iodide than the isomeric 5,8‐didehydroquinolinium cation, which is more reactive than the isomeric 5,8‐didehydroisoquinolinium cation studied previously. All three isomers have a 1,4‐biradical topology. The order of reactivity is rationalized by the vertical electron affinities of the radical sites of these biradicals instead of their widely differing singlet–triplet splittings.
Comprehensive Profiling by Non‐targeted Stable Isotope Tracing Capillary Electrophoresis‐Mass Spectrometry: A New Tool Complementing Metabolomic Analyses of Polar Metabolites
Authors: Zeng Jun , Wang Zhichao , Huang Xin , Eckstein Sabine S. , Lin Xiaohui , Piao Hailong , Weigert Cora , Yin Peiyuan , Lehmann Rainer , Xu Guowang 
Published: February 2019

AbstractMass spectrometry (MS) driven metabolomics is a frequently used tool in various areas of life sciences; however, the analysis of polar metabolites is less commonly included. In general, metabolomic analyses lead to the detection of the total amount of all covered metabolites. This is currently a major limitation with respect to metabolites showing high turnover rates, but no changes in their concentration. Such metabolites and pathways could be crucial metabolic nodes (e.g., potential drug targets in cancer metabolism). A stable‐isotope tracing capillary electrophoresis–mass spectrometry (CE‐MS) metabolomic approach was developed to cover both polar metabolites and isotopologues in a non‐targeted way. An in‐house developed software enables high throughput processing of complex multidimensional data. The practicability is demonstrated analyzing [U‐13C]‐glucose exposed prostate cancer and non‐cancer cells. This CE‐MS‐driven analytical strategy complements polar metabolite profiles through isotopologue labeling patterns, thereby improving not only the metabolomic coverage, but also the understanding of metabolism.
Treatment capacity required for full‐scale implementation of lung cancer screening in the United States
Authors: Blom Erik F. , ten Haaf Kevin , Arenberg Douglas A. , de Koning Harry J. 
Published: February 2019

BackgroundFull‐scale implementation of lung cancer screening in the United States will increase detection of early stages. This study was aimed at assessing the capacity required for treating those cancers.MethodsA well‐established microsimulation model was extended with treatment data from the National Cancer Database. We assessed how treatment demand would change when implementing lung cancer screening in 2018. Three policies were assessed: 1) annual screening of current smokers and former smokers who quit fewer than 15 years ago, aged 55 to 80 years, with a smoking history of at least 30 pack‐years (US Preventive Services Task Force [USPSTF] recommendations); 2) annual screening of current smokers and former smokers who quit fewer than 15 years ago, aged 55 to 77 years, with a smoking history of at least 30 pack‐years (Centers for Medicare and Medicaid Services [CMS] recommendations); and 3) annual screening of current smokers and former smokers who quit fewer than 10 years ago, aged 55 to 75 years, with a smoking history of at least 40 pack‐years (the most cost‐effective policy in Ontario [Ontario]). The base‐case screening adherence was a constant 50%. Sensitivity analyses assessed other adherence levels, including a linear buildup to 50% between 2018 and 2027.ResultsThe USPSTF policy would require 37.0% more lung cancer surgeries in 2015‐2040 than no screening, 2.2% less radiotherapy, and 5.4% less chemotherapy; 5.7% more patients would require any therapy. The increase in surgical demand would be 96.1% in 2018, 46.0% in 2023, 38.3% in 2028, and 24.9% in 2040. Adherence strongly influenced results. By 2018, surgical demand would range from 52,619 (20% adherence) to 96,121 (80%). With a gradual buildup of adherence, the increase in surgical demand would be 9.6% in 2018, 38.3% in 2023, 42.0% in 2028, and 24.4% in 2040. Results for the CMS and Ontario policies were similar, although the changes in comparison with no screening were smaller.ConclusionsFull‐scale implementation of lung cancer screening causes a major increase in surgical demand, with a peak within the first 5 years. A gradual buildup of adherence can spread this peak over time. Careful surgical capacity planning is essential for successfully implementing screening.
Study on Drug‐Drug Interactions Between Chiglitazar, a Novel PPAR Pan‐Agonist, and Metformin Hydrochloride in Healthy Subjects
Authors: Yi Ling , Zhang Hua , Zhang Jin‐wen , You Xiao‐ming , Ning Zhi‐qiang , Yu Jia , Qian Li‐fang , Miao Li‐yan 
Published: February 2019

AbstractChiglitazar (CHI) is a potent and selective peroxisome proliferator‐activated receptor potentially for the treatment of patients with type 2 diabetes mellitus (T2DM). An open‐label, randomized, 3‐period crossover and self‐controlled study was conducted to investigate drug‐drug interaction potential between CHI and metformin hydrochloride (MET). Eligible subjects received a single oral dose of CHI (48 mg), MET (1000 mg), or a combination in each period, followed by serial blood sampling collected for up to 48 hours postdose, and safety was assessed throughout the trial. The area under the plasma concentration‐time curves from time 0 to 48 hours (AUC0‐48 h) of CHI was similar following administration alone or with MET (AUC0‐48h, 12 540 ng·h/mL [9811‐15 269 ng·h/mL] vs 12 130 ng·h/mL [9304‐14 956 ng·h/mL]; 90% confidence interval [CI] of its geometric mean ratio [GMR], 89.7%–103.8%), whereas the maximum concentration (Cmax) of CHI was reduced during coadministration, as its 90%CI of the GMR was slightly outside the acceptance range for bioequivalence (Cmax, 1620 ng/mL [1418‐1822 ng/mL] vs 1420 ng/mL [1049‐1791 ng/mL], 90%CI GMR, 77.%‐94.1%). However, it was not considered clinically meaningful. The MET exposures remained consistent in the absence or presence of CHI (AUC0‐48 h, 12 570 ng·h/mL [10681‐14 459 ng·h/mL] vs 13 190 [10973‐15 407 ng·h/mL); 90%CI of GMR: 99.1%‐110.5%; Cmax, 1790 ng/mL [1448–2132 ng/mL] vs 1820 ng/mL [1510‐2130 ng/mL]; 90%CI of GMR, 94.2%–110.9%). No moderate to severe adverse events were reported. Our study indicated no clinically significant pharmacokinetic drug‐drug interaction between CHI and MET and demonstrated good tolerance in subjects. These results support future application of CHI in combination with MET for treatment of T2DM.
Hardware MPI message matching: Insights into MPI matching behavior to inform design
Authors: Ferreira Kurt , Grant Ryan E. , Levenhagen Michael J. , Levy Scott , Groves Taylor 
Published: February 2019

SummaryThis paper explores key differences of MPI match lists for several important United States Department of Energy (DOE) applications and proxy applications. This understanding is critical in determining the most promising hardware matching design for any given high‐speed network. The results of MPI match list studies for the major open‐source MPI implementations, MPICH and Open MPI, are presented, and we modify an MPI simulator, LogGOPSim, to provide match list statistics. These results are discussed in the context of several different potential design approaches to MPI matching–capable hardware. The data illustrate the requirements for different hardware designs in terms of performance and memory capacity. This paper's contributions are the collection and analysis of data to help inform hardware designers of common MPI requirements and highlight the difficulties in determining these requirements by only examining a single MPI implementation.
Research on joint ranking recommendation model based on Markov chain
Authors: Jia Hailong , Yang Jie 
Published: February 2019

SummaryIn this paper, a supervised learning framework with strong expansibility is first established for search engine joint ranking problem. It can transform existing algorithms into corresponding learning algorithms, and design new algorithms under this framework. Second, with Markov chain model as the core algorithm, this paper combines the ranking results of three main factors, including content relevance, hyperlink prediction, and query click behavior, and transforms the joint problem of ranking results into a positive semi‐definite programming problem, and deduces the detailed process of solving the problem. Finally, this paper analyzes the rationality and efficiency of the joint ranking recommendation model based on Markov chain by setting the weight coefficient through experimental data.
Recovery of Abies alba and Picea abies saplings to browsing and frost damage depends on seed source
Authors: Kupferschmid Andrea Doris , Heiri Caroline 
Published: February 2019

AbstractThe density of wild ungulates has increased in the last century, and browsing has become a major driver of forest succession in the northern hemisphere. In addition, tree species are expected to respond differently to future climate conditions, especially an increased frequency of late frost events. The aim of this study was to analyze the influence of intraspecific genetic variation on the recovery of two tree species to frost and browsing. An experiment with saplings from 90 Abies alba and 72 Picea abies seed sources was conducted. Five‐year‐old saplings were clipped at three intensities before budburst in spring. Growth (height, diameter, leader shoot length, and biomass) and quality (e.g. stem form, multistemming, reaction type) were assessed before and 1–2 years after clipping or 3–4 years after natural frost events, and provenance differences were related to environmental differences at the seed source. For Abies, frost and clipping resulted in reduced height growth in the first year after the stress and reduced height for two (clipping) to four (frost) vegetation periods. Sapling biomass, diameter increment, and quality decreased after heavy clipping. For Picea, which grew twice as fast as Abies, such effects were only found after frost damage. Population differences were significant for both species for all investigated growth traits and for Picea also for some quality variables. The “reaction type” after browsing (e.g. new shoot, existing twig bending upward) seems to be species specific and independent of seed source. In contrast, the time lag between clipping and formation of a clear new leader shoot increased for Abieswith lower temperatures at the seed source. Lowland populations with warmer climates grew faster, and for Picea also qualitatively better, and recovered faster from leader shoot loss (Abies) or reacted at the uppermost meristem (Picea). Thus, the investigated stressors increased the existing differences among populations.