bluuebunny/crossref_metadata_2025_split huggingface dataset:
Characterization of thrombin inhibitors in tea through ultra high performance liquid chromatography‐mass spectrometry combined with multivariate statistical analysis
Authors: Wang Xu , Zhang Hao , Lu Min , Jiang Hui , Xia Fang‐Bo , Gao Jian‐Li , Wan Jian‐Bo , Yang Feng‐Qing 
Published: January 2021

AbstractIn this study, thrombin inhibitors in tea were characterized by combining thrombin inhibition assay of tea extracts with ultra high performance liquid chromatography–mass spectrometry based multivariate statistical analysis. The inhibitory activity on thrombin for ten tea samples were tested in vitro. Then, upon collecting and processing liquid chromatography‐mass spectrometry data, combined with the results of activity assays, principal component analysis, and orthogonal partial least squares discriminant analysis were applied to predict discriminate differential markers. Six of twelve predicted marker compounds were tentatively identified. Among them, epigallocatechin 3‐O‐gallate, epicatechin gallate, epigallocatechin and gallocatechin 3‐O‐gallate showed good inhibitory activity on thrombin with IC50 values of 5.033, 6.573, 6.704 and 6.842 mM, respectively. Moreover, molecular docking results indicated that these four active compounds could insert into the catalytic activity pocket of thrombin and the residue GLU192 may be their binding site.
Analytical eco‐scale and quality by design‐oriented liquid chromatography method for simultaneous quantification of metoprolol succinate, telmisartan, and cilnidipine in their fixed‐dose combination
Authors: Panda Sagar Suman , Dutta Sucharita , Bera Ravi Kumar Venkata Varaha , Jammula Sruti 
Published: January 2021

AbstractA new combination of metoprolol succinate, telmisartan, and cilnidipine is recently approved to treat hypertension effectively. A reversed‐phase liquid chromatography method was developed to quantify the said compounds, combining analytical eco‐scale and quality‐by‐design approach. The former one revealed an excellent green score for the present method. Later, method variables were assessed for risks and optimized using the quality‐by‐design‐oriented method development. The optimization process included using a Box‐Behnken design, and the obtained response surfaces for resolution amongst target peaks were mapped systematically. The optimal separation conditions employed a mobile phase of methanol: 0.01 M KH2PO4 buffer of pH 3.0 (70:30, %v/v) flowing at a rate of 1.0 mL/min on a C18 column with diode array detection at 240 nm. All three analyte peaks were well separated from each other with a resolution greater than 2.0. The analytical method was linear (2.5‐80 μg/mL) for target compounds with accuracy (>99%), and precision (<1%) results complying with regulatory requirements. The results of detection and quantitation limits, solution stability, and system suitability limit were good and acceptable. The current method selectively quantified the analytes from commercial dosage forms. Overall a green analytical method is developed and suitable for estimating metoprolol, telmisartan, and cilnidipine simultaneously in their combined pharmaceutical formulations.
Recurrent Cesarean scar pregnancy: case series and literature review
Authors: Timor‐Tritsch I. E. , Horwitz G. , D'Antonio F. , Monteagudo A. , Bornstein E. , Chervenak J. , Messina L. , Morlando M. , Cali G. 
Published: January 2021

ABSTRACTObjectivesTo determine the rate of recurrent Cesarean scar pregnancy (CSP) in our clinical practices and to evaluate whether the mode of treatment of a CSP is associated with the risk of recurrent CSP, as well as to review the published literature on recurrent CSP.MethodsWe performed a retrospective search of our six obstetric and gynecological departmental ultrasound databases for all CSPs and recurrent CSPs between 2010 and 2019. We extracted various data, including number of CSPs with follow‐up, number of cases attempting and number achieving pregnancy following treatment of CSP and number of recurrent CSPs, as well as details of the treatment of the original CSP. After analyzing the clinical data, we evaluated whether the mode of treatment terminating the previous CSP was associated with the risk of recurrent CSP. We also performed a PubMed search for: ‘recurrent Cesarean scar pregnancy’ and ‘recurrent Cesarean scar ectopic pregnancy’. Articles were reviewed for year of publication, and extraction and analysis of the same data as those obtained from our departmental databases were performed.ResultsOur database search identified 252 cases of CSP. The overall rate of clinical follow‐up ranged between 71.4% and 100%, according to treatment site (mean, 90.9%). Among these, 105 women had another pregnancy after treatment of the previous CSP. Of these, 36 (34.3%) pregnancies were recurrent CSP, with 27 women having a single recurrence and three women having multiple recurrences, one with two, one with three and one with four. We did not find any particular single or combination treatment mode terminating the previous CSP to be associated with recurrent CSP. The literature search identified 17 articles that yielded sufficient information for us to evaluate their reported prevalence of recurrent CSP. These reported 1743 primary diagnoses of CSP, of which 944 had reliable follow‐up. Data were available for 489 cases that attempted to conceive again after treatment of a previous CSP, and on the 327 pregnancies achieved. Of these, 67 (20.5%) were recurrent CSP.ConclusionsOn the basis of our pooled clinical data and review of the literature, recurrent CSP is apparently more common than was previously assumed based upon mostly single‐case reports or series with few cases. This should be borne in mind when counseling patients undergoing treatment for CSP regarding their risk of recurrence. We found no obvious causal relationship or association between the type of treatment of the previous CSP and recurrence of CSP. Patients who become pregnant after treatment of a CSP should be encouraged to have an early (5–7‐week) first‐trimester transvaginal scan to determine the location of the gestation. © 2021 International Society of Ultrasound in Obstetrics and Gynecology.
Successful treatment of a dog with phenobarbital‐responsive sialadenosis and an oesophageal stricture
Authors: Chae Hyung‐Kyu , Lee Jeong‐Hwa , Choi Min Cheol , Song Woo‐Jin , Youn Hwa‐Young 
Published: January 2021

AbstractBackgroundPhenobarbital‐responsive sialadenosis (PRS) can cause nausea and vomiting, and is rarely reported in dogs.ObjectivesAn 8‐year‐old neutered, male Pomeranian dog was presented to our teaching hospital with vomiting that began 2 years ago. The clinical signs repeatedly improved and deteriorated despite treatment.MethodsThe only abnormality found on physical examination was salivary gland enlargement, and no specific findings were observed on blood analysis and imaging tests. The results of the fine needle aspirate cytology from the salivary glands revealed possible sialadenosis. Phenobarbital was prescribed, and the patient's symptoms resolved. However, upon discontinuing drug, the patient's clinical signs recurred and did not improve even after re‐introduction of phenobarbital and the addition of other anticonvulsant drugs. An oesophageal stricture was observed on an oesophagram, and fibrosis was confirmed endoscopically. A balloon dilation was performed to expand the stenosis.ResultsAfter the first procedure, the patient's clinical signs initially improved, but relapsed 2 weeks later. A total of three oesophageal dilation procedures were performed using a sequentially larger diameter balloon. After the third procedure, the patient's clinical signs were managed without recurrence. The cause of recurrent gastrointestinal signs following the initial successful treatment of phenobarbital‐responsive sialadenosis was due to oesophageal stricture formation.ConclusionsThis case report demonstrates the successful management of PRS with subsequent oesophageal stricture formation in a dog.
Radiation therapy for non‐resectable neuroendocrine tumour in two dogs
Authors: Borgonovi Simona , Scudder Christopher J. , Rau Friederike , Mason Sarah L. 
Published: January 2021

AbstractCase records of two dogs diagnosed with carotid body tumour (CBT) treated with radiotherapy were reviewed. Clinical signs of a unilateral space‐occupying lesion were identified. Cytology or histopathology and CT imaging confirmed CBT. Metastatic lymphadenopathy was identified in one dog. The tumour was surgically unresectable in one dog. Radiotherapy was administered with 38Gy in 10 and 48Gy in 12 fractions, respectively. VRTOG grade I cutaneous radiotoxicity was recognised in both dogs upon completing the treatment protocol. One dog was diagnosed with primary hypothyroidism 16 months later. One dog has ongoing partial response at 13 months post‐radiotherapy, the other dog had complete response with no recurrence at 40 months post‐radiotherapy. The results of this study suggest that for non‐resectable carotid body paraganglioma radiation therapy provided excellent disease control with mild permanent side effects not affecting the dog's quality of life. Careful monitoring of the thyroid function is recommended post‐treatment.
Methodology for the energetic characterisation of rain erosion on wind turbine blades using meteorological data: A case study for The Netherlands
Authors: Bartolomé Luis , Teuwen Julie 
Published: January 2021

AbstractRain erosion on the leading edge of wind turbine blades is an intricate engineering challenge for the wind industry. Based on an energetic approach, this work proposes a methodology to characterise the erosion capacity of the raindrop impacts onto the leading edge blades. This methodology can be used with meteorological data from public institutions or from direct measurements at the wind turbine locations. The erosion characterisation is analysed using accumulative and per impact erosive variables, that is, total kinetic energy and kinetic energy per impact. To consider the frequency of impacts, two erosive variables are proposed, namely, total kinetic power and kinetic power per impact. These variables are calculated using the data from the Royal Netherlands Meteorological Institute (Koninklijk Nederlands Meteorologisch Instituut, KNMI) of the last 25 years jointly with the operation specifications of an actual wind turbine model (Suzlon S111). The main contribution to the erosive variables was found to be the wind speed because it controls the rotational velocity of the wind turbine. Also, the intensity of the rainfall and the frequency of meteorological data logging, that is, the temporal resolution of data, play a significant role.
Whiteschist genesis through metasomatism and metamorphism in the Monte Rosa nappe (Western Alps)
Authors: Luisier Cindy , Baumgartner Lukas P. , Putlitz Benita , Vennemann Torsten 
Published: January 2021

AbstractWhiteschists from the Monte Rosa Nappe were examined in the field as well as with petrographic, geochemical, and isotopic methods to constrain the controversial origin of these rocks in their Alpine metamorphic context. Whiteschists occur as ellipsoidal-shaped, decametric-sized bodies, within a Permian metagranite, and consist mainly of chloritoid, talc, phengite, and quartz. The transition from whiteschist to metagranite is marked by multiple sharp mineralogical boundaries defining concentric zones unrelated to Alpine deformation. The development of reaction zones, as well as the geometry of the whiteschist suggest a pervasive fluid infiltration, facilitated and canalized by reaction fingering. Whole-rock compositions of whiteschists and metagranites indicate an enrichment in MgO and H2O and depletion of Na2O, CaO, Ba, Sr, Pb, and Zn in the whiteschist relative to the metagranite. Trace- and rare-earth elements, together with all other major elements, notably K2O and SiO2, were within uncertainty not mobile. Such a K and Si saturated, Na undersaturated fluid is not compatible with previous interpretations of fluids derived from ultramafic rocks, evaporites, or Mg-enriched seawater due to mantle interactions. Together with the large variations in δD and δ18O values, this indicates large fluid fluxes during metasomatism. Calculated δD and δ18O values of fluids in equilibrium with the whiteschist support a magmatic–hydrothermal fluid source, as does the chemical alteration pattern. Bulk rock 87Sr/86Sr ratios in whiteschists confirm a pre-Alpine age of fluid infiltration. The 87Sr/86Sr ratios in whiteschists were subsequently partially homogenized in a closed system during Alpine metamorphism. In conclusion, the granite was locally affected by late magmatic–hydrothermal alteration, which resulted in sericite–chlorite alteration zones in the granite. The entire nappe underwent high-pressure metamorphism during the Alpine orogeny and the mineralogy of the whiteschist was produced during dehydration of the metasomatic assemblage under otherwise closed-system metamorphism. While each whiteschist locality needs to be studied in detail, this in-depth study suggests that many whiteschists found in granitic bodies in the Alps might be of similar origin.
What is an animal personality?
Authors: Kaiser Marie I. , Müller Caroline 
Published: January 2021

AbstractIndividuals of many animal species are said to have a personality. It has been shown that some individuals are bolder than other individuals of the same species, or more sociable or more aggressive. In this paper, we analyse what it means to say that an animal has a personality. We clarify what an animal personality is, that is, its ontology, and how different personality concepts relate to each other, and we examine how personality traits are identified in biological practice. Our analysis shows that biologists often study specific personality traits, such as boldness, sociability or aggressiveness, rather than personalities in general. We claim that personality traits are best understood as dispositions and that they are operationally defined in terms of certain sets of behaviours, which are studied in specific experimental set-ups. Furthermore, we develop an integrative philosophical account that specifies and formalises three criteria for identifying personality traits, which are used in biological practice. For an individual animal to have a personality trait it must, first, behave differently than others (Individual Differences). Second, these behavioural differences must be stable over a certain time (Temporal Stability), and third, they must be consistent in different contexts (Contextual Consistency).
Gauss–Newton-type methods for bilevel optimization
Authors: Fliege Jörg , Tin Andrey , Zemkoho Alain 
Published: January 2021

AbstractThis article studies Gauss–Newton-type methods for over-determined systems to find solutions to bilevel programming problems. To proceed, we use the lower-level value function reformulation of bilevel programs and consider necessary optimality conditions under appropriate assumptions. First, under strict complementarity for upper- and lower-level feasibility constraints, we prove the convergence of a Gauss–Newton-type method in computing points satisfying these optimality conditions under additional tractable qualification conditions. Potential approaches to address the shortcomings of the method are then proposed, leading to alternatives such as the pseudo or smoothing Gauss–Newton-type methods for bilevel optimization. Our numerical experiments conducted on 124 examples from the recently released Bilevel Optimization LIBrary (BOLIB) compare the performance of our method under different scenarios and show that it is a tractable approach to solve bilevel optimization problems with continuous variables.
Multiple linear regression analysis (MLR) applied for modeling a new WQI equation for monitoring the water quality of Mirim Lagoon, in the state of Rio Grande do Sul—Brazil
Authors: Valentini Marlon , dos Santos Gabriel Borges , Muller Vieira Bruno 
Published: January 2021

AbstractAccurate assessment of the type and extent of water pollution is a difficult and complicated task. Therefore, the use of the Water Quality Index (WQI) proves to be a useful tool, as this index has the advantage of resulting in a single number that is easy to communicate and understand. One of the statistical methods that can be used to develop a new WQI equation for a given water body is Multiple Linear Regression (MLR). Therefore, this work aims to develop a new WQI equation for Mirim Lagoon through MLR and to evaluate the suitability of that equation. For this, 154 samples collected at 7 monitoring points of Mirim Lagoon over three years were analyzed, from which the original WQI results were obtained. With these results, MLR was applied, generating a new WQI equation with only three variables: phosphorus, dissolved oxygen (DO) and thermotolerant coliforms. This MLR model obtained an R2 coefficient equal to 0.728, demonstrating that 72.8% of the data variability was explained by the equation generated by this model. Through the paired t test it was possible to demonstrate that the results of the new WQI did not differ significantly from the results of the original WQI, obtaining significance values greater than 0.05 for both absolute WQI values and quality ranges (p value 0.886 and 0.467, respectively), attesting to the adequacy of the new equation. The reduction in the number of variables for monitoring water quality has several advantages, from financial ones, as it makes monitoring less costly, even in reducing the eclipse effect. Therefore, it is concluded that it is of great importance to generate an equation with fewer variables for monitoring the quality of the waters of Mirim Lagoon.
The potential association of Echinochloa polystachya (Kunth) Hitchc. with bacterial consortium for petroleum degradation in contaminated soil
Authors: da Silva Correa Hauane , Maranho Leila Teresinha 
Published: January 2021

AbstractIn recent years, environmental impacts related to the contamination of ecosystems by petroleum have become frequent. In contact with the environment, petroleum can cause toxic effects in the biodiversity and on human health and compromise both water and land resources. Among the strategies to overcome this issue, bioremediation stands out as viable and promising alternative for environmental decontamination. To bioremediate petroleum-contaminated sites, phytoremediation and bioaugmentation techniques can be used. Thus, this research aimed to evaluate through a pot experiment four bioremediation strategies: (1) natural attenuation, (2) phytoremediation with Echinochloa polystachya, (3) bioaugmentation with bacterial consortium and (4) bioaugmentation-assisted phytoremediation, for the treatment of a co-contaminated soil presenting 100 g kg−1 of petroleum. In addition, two control treatments were carried out with substrates not contaminated with petroleum: (5) control with E. polystachya and (6) control treatment with bacterial consortium and E. polystachya. The experiment lasted 60 days in a greenhouse. The survival rate of E. polystachya was 100% in the contaminant tolerance aspect, resulting in increased stomatal density and aerenchyma, affecting few parameters of the plant, which demonstrate its phytoremediation capacity. In all treatments, petroleum degradation occurred. The highest degree of total petroleum hydrocarbon removal was obtained for contaminated soil cultivated with E. polystachya (phytoremediation), followed by contaminated soil cultivated with E. polystachya and bacterial (bioaugmentation-assisted phytoremediation treatment) and contaminated soil treated with bacterial consortium (bioaugmentation). Natural attenuation was less effective, proving the efficiency of the phytoremediation by E. polystachya and bacterial consortium, that responded positively to the stresses generated by contamination. However, further studies should direct to aim understanding the metabolic processes involved in the degradation and that these approaches to assist in environmental decontamination.
A hybrid approach based on artificial neural network and cuckoo algorithm for optimization of the main cutting force during turning of Si brass alloys
Authors: Adineh Morteza , Doostmohammadi Hamid 
Published: January 2021

AbstractAs an innovative approach in this study, artificial neural network and cuckoo algorithm have been applied to estimate and optimize the main cutting forces of various Si brass alloys during turning operation due to economic reasons. Accordingly, the chemical composition (Cu, Zn and Si contents) and process parameters (cutting speed, feed rate and depth of cut) are simultaneously implemented as input variables and the main cutting force is adjusted as an output variable. Moreover, the genetic algorithm is used to determine the optimum condition of the input parameters to obtain the lowest amounts of the main cutting force. Coupling of the hybrid cuckoo algorithm with artificial neural network has resulted in decreasing the mean absolute percentage error of the optimum structure (6-10-7-1) from 9.025 to 1.59E–6%. The validation of the proposed model has been done by performing the new set of experimental tests. The measured and predicted main cutting forces are in good agreement. The Si brass alloys including Zn equivalent about 44.97 wt% has the lowest main cutting force due to the formation of the Widmanstäetten morphologies in the microstructure. The outcome of this study may be useful for machining industry of the free-cutting Si brasses.
Mitigating congestion by optimal rescheduling of generators applying hybrid PSO–GWO in deregulated environment
Authors: Gautam Anubha , Sharma Parshram , Kumar Yogendra 
Published: January 2021

AbstractDeregulation in power system and increased power demand has introduced congestion in power system. With the depletion of fossil fuels, power sector has turned towards incorporation of the Renewable Energy Systems through private generators. This paper focuses on the non-cost-free method to mitigate congestion by rescheduling the generators for their active power output. The rescheduling is done in such a way that the cost of rescheduling is minimum. This paper presents a new method to merge two tested algorithms Particle Swarm Optimization (PSO) and Grey Wolf Optimization (GWO) to generate a new hybrid algorithm, HPSOGWO. The active power output is rescheduled to mitigate congestion with minimum cost of rescheduling. The priority of participating generators in rescheduling is set by generator sensitivity factor and its output is optimized by proposed HPSOGWO. The applied algorithm has reduced the rescheduled power to 16% less as done by GWO. HPSOGWO has moderated the congestion cost to 25% less as compared to GWO. The effectiveness of proposed HPSOGWO algorithm is validated on standard IEEE 30 bus system and results confirms the outperformance of proposed method over GWO and PSO in reducing congestion cost with reduction in power losses to mitigate congestion.