bluuebunny/crossref_metadata_2025_split huggingface dataset:
Remote Impact of the Equatorial Pacific on Florida Current Transport
Authors: Dong Shenfu , Volkov Denis L. , Goni Gustavo , Pujiana Kandaga , Tagklis Filippos , Baringer Molly 
Published: February 2022

AbstractSatellite and in‐situ measurements are used in this study to investigate a possible link between the Florida Current transport (FCT) and temperature changes in the equatorial Pacific. Consistent with the geostrophic nature of the current, the FCT variability shows good correspondence with the changes in sea surface height differences (∆SSH) between the eastern (SSHeast) and western (SSHwest) sides of the Florida Straits. While the variability of SSHwest is mostly associated with seasonal and shorter timescale fluctuations of ∆SSH and FCT, changes in SSHeast are strongly related to the interannual variability of ∆SSH and FCT. A significant correlation is found between the FCT and the Oceanic Niño Index (ONI) on interannual timescales, which explains 21% of the interannual FCT variance. The connection of ONI with FCT is through its impact on SSHeast, associated with the anomalous convergence/divergence in the Caribbean region and the Bahamas forced by ONI‐induced wind stress curl changes.
Moisture Sources and Transport for Extreme Precipitation Over Henan in July 2021
Authors: Nie Yanbo , Sun Jianqi 
Published: February 2022

AbstractDetermining the sources of moisture for the devastating precipitation event over Henan in July 2021 helps understand the mechanisms of such extreme precipitation events. In this study, the moisture sources and transport trajectories for the event are investigated using a Lagrangian approach. Moisture is transported to Henan along three routes that are driven by the western Pacific subtropical high (WPSH), WPSH and the tropical cyclone In‐Fa, as well as WPSH and the tropical cyclone Cempaka, respectively. The WPSH‐In‐Fa‐driven air parcels have the highest moistening and precipitating efficiency among the three routes. Overall, southern China contributes the most to moisture sources (38.1%), followed by the western North Pacific (30.0%). The results indicate that the terrestrial and oceanic moisture over southern China‐western North Pacific are both crucial for the extreme precipitation event over Henan.
Oceanic Mesoscale Cyclones Cluster Surface Lagrangian Material
Authors: Vic Clément , Hascoët Solenne , Gula Jonathan , Huck Thierry , Maes Christophe 
Published: February 2022

AbstractAn asymmetry in the clustering of oceanic surface material has been observed at the submesoscales. Energetic and ephemeral submesoscale cyclonic fronts are associated with convergence zones, hence cluster surface material. Their anticyclonic counterparts do not feature such an effect. Yet, at the mesoscale, literature has been contradictory about such an asymmetry. Here, we combine surface drifter trajectories with an altimetry‐derived mesoscale eddy database in the North Atlantic to show that mesoscale cyclones contain 24% more drifters than anticyclones. A numerical Lagrangian experiment using a mesoscale‐resolving model quantitatively reproduces the observational results. It reveals that particles preferentially cluster in cyclonic regions, both in fronts and eddies. The model further suggests that ageostrophic cyclonic fronts concentrate particles a few days before the eddy formation and detection.
Determinants of Physical Processes and Their Contributions for Uncertainties in Simulated Evapotranspiration Over the Tibetan Plateau
Authors: Sun Guodong , Mu Mu , Ren Qiujie , Zhang Qiyu , You Qinglong 
Published: February 2022

AbstractEstimation of the Evapotranspiration (ET) over the Tibetan Plateau (TP) still keeps uncertain due to inaccurate physical parameters and processes in numerical models. In this study, the simulated ET is evaluated for 13 sites over the TP during the period of 2001–2017 using the conditional nonlinear optimal perturbation related to parameters (CNOP‐P) approach. To find key physical parameters and processes, the sensitivity analysis (SA) method based on the CNOP‐P is employed. The traditional SA method (one‐at‐a‐time, OAT) is also employed to compare to the SA method based on the CNOP‐P for the identification of the key parameters and parameters subset. The numerical results show that the average estimation of the ET for 13 sites could be improved by 37.7 mm year−1 and 62.5 mm year−1 for two data sets using the CNOP‐P‐type parameters perturbations, respectively. Further, the sensitive physical parameters subset includes more vegetation parameters using the SA method based on the CNOP‐P method, which are different to those using the OAT method. This implies that the vegetation transpiration plays a vital role for simulation of the ET over the TP. It is found that the improvement degree (24.6%) of simulation ability of the ET over the TP by reducing more sensitive vegetation parameters identified by the CNOP‐P sensitivity analysis method is larger than that employing the OAT method (21.9%).
Along‐Strike Variation of Convergence Rate and Pre‐Existing Weakness Contribute to Indian Slab Tearing Beneath Tibetan Plateau
Authors: Cui Qihua , Li Zhong‐Hai 
Published: February 2022

AbstractA number of geophysical observations reveal that the underthrusting Indian continental plate beneath the southern Tibetan Plateau is laterally torn and segmented, with contrasting subduction angles along strike. However, the mechanism of such kind of slab tearing remains unclear. Here, a series of 3‐D high‐resolution numerical models are conducted, which suggest that the lateral variation (either gradually or abruptly changing) of boundary convergence rate plays a critical role in the tearing of underthrusting continental slab. The abruptly changing convergence with a large lateral contrast could lead to slab tearing all by itself, whereas the gradually changing convergence should be combined with pre‐existing weakness in the underthrusting block. The structures and properties of overriding block play secondary roles. Finally, we propose that Indian slab tearing could be attributed to the time‐dependent and lateral variation of convergence rate during the Indian‐Asian collision and the pre‐existing Indian lithospheric weakness.
Founder cell configuration drives competitive outcome within colony biofilms
Authors: Eigentler Lukas , Kalamara Margarita , Ball Graeme , MacPhee Cait E , Stanley-Wall Nicola R , Davidson Fordyce A 
Published: February 2022

Abstract
Bacteria can form dense communities called biofilms, where cells are embedded in a self-produced extracellular matrix. Exploiting competitive interactions between strains within the biofilm context can have potential applications in biological, medical, and industrial systems. By combining mathematical modelling with experimental assays, we reveal that spatial structure and competitive dynamics within biofilms are significantly affected by the location and density of the founder cells used to inoculate the biofilm. Using a species-independent theoretical framework describing colony biofilm formation, we show that the observed spatial structure and relative strain biomass in a mature biofilm comprising two isogenic strains can be mapped directly to the geographical distributions of founder cells. Moreover, we define a predictor of competitive outcome that accurately forecasts relative abundance of strains based solely on the founder cells’ potential for radial expansion. Consequently, we reveal that variability of competitive outcome in biofilms inoculated at low founder density is a natural consequence of the random positioning of founding cells in the inoculum. Extension of our study to non-isogenic strains that interact through local antagonisms, shows that even for strains with different competition strengths, a race for space remains the dominant mode of competition in low founder density biofilms. Our results, verified by experimental assays using Bacillus subtilis, highlight the importance of spatial dynamics on competitive interactions within biofilms and hence to related applications.
Biological manganese-dependent sulfide oxidation impacts elemental gradients in redox-stratified systems: indications from the Black Sea water column
Authors: Henkel J V , Schulz-Vogt H N , Dellwig O , Pollehne F , Schott T , Meeske C , Beier S , Jürgens K 
Published: February 2022

Abstract
The reduction of manganese oxide with sulfide in aquatic redox-stratified systems was previously considered to be mainly chemical, but recent isolation of the Black Sea isolate Candidatus Sulfurimonas marisnigri strain SoZ1 suggests an important role for biological catalyzation. Here we provide evidence from laboratory experiments, field data, and modeling that the latter process has a strong impact on redox zonation in the Black Sea. High relative abundances of Sulfurimonas spp. across the redoxcline in the central western gyre of the Black Sea coincided with the high-level expression of both the sulfide:quinone oxidoreductase gene (sqr, up to 93% expressed by Sulfurimonas spp.) and other sulfur oxidation genes. The cell-specific rate of manganese-coupled sulfide oxidation by Ca. S. marisnigri SoZ1 determined experimentally was combined with the in situ abundance of Sulfurimonas spp. in a one-dimensional numerical model to calculate the vertical sulfide distribution. Abiotic sulfide oxidation was too slow to counterbalance the sulfide flux from euxinic water. We conclude that microbially catalyzed Mn-dependent sulfide oxidation influences the element cycles of Mn, S, C, and N and therefore the prevalence of other functional groups of prokaryotes (e.g., anammox bacteria) in a sulfide-free, anoxic redox zone.
Patients’ perceptions on temporomandibular disorder treatment with hydrostatic oral splints - a pilot study
Authors: Sabbagh H. , Sabbagh A. , Heppner A. , Auer C. , Wichelhaus A. , Hoffmann L. 
Published: February 2022

Abstract
Objective
To evaluate temporomandibular disorder (TMD) treatment with a prefabricated, hydrostatic oral splint (HOS) based on self-reported patient’s symptoms using a standardized questionnaire.

Methods
Two hundred fifty-eight questionnaires from patients diagnosed with TMD and subsequently treated with HOS were collected from two independent private practices. Based on patient’s comfort the questionnaire recorded TMD symptoms and symptom regression. Descriptive and comparative statistics was carried out using SPSS.

Results
A total of 221 questionnaires were analyzed. Patients reported TMD symptoms such as pain (93.2%), TMJ clicking (66.1%), headache (25.8%), cervical spine disorders (23.5%), restricted mouth opening (22.6%) and tinnitus (11.8%). For most symptoms, improvement was reported mostly after two weeks, except for tinnitus, where positive effects were usually reported after four weeks.

Conclusion
HOS seem to be effective for immediate treatment of pain and other TMD symptoms. Based on the available data, a treatment period of four weeks can be recommended.
Adjuvant capecitabine-containing chemotherapy benefit and homologous recombination deficiency in early-stage triple-negative breast cancer patients
Authors: de Boo Leonora W. , Jóźwiak Katarzyna , Joensuu Heikki , Lindman Henrik , Lauttia Susanna , Opdam Mark , van Steenis Charlaine , Brugman Wim , Kluin Roelof J. C. , Schouten Philip C. , Kok Marleen , Nederlof Petra M. , Hauptmann Michael , Linn Sabine C. 
Published: February 2022

AbstractBackgroundThe addition of adjuvant capecitabine to standard chemotherapy of early-stage triple-negative breast cancer (TNBC) patients has improved survival in a few randomised trials and in meta-analyses. However, many patients did not benefit. We evaluated theBRCA1-like DNA copy number signature, indicative of homologous recombination deficiency, as a predictive biomarker for capecitabine benefit in the TNBC subgroup of the FinXX trial.MethodsEarly-stage TNBC patients were randomised between adjuvant capecitabine-containing (TX + CEX: capecitabine-docetaxel, followed by cyclophosphamide-epirubicin-capecitabine) and conventional chemotherapy (T + CEF: docetaxel, followed by cyclophosphamide-epirubicin-fluorouracil). TumourBRCA1-like status was determined on low-coverage, whole genome next-generation sequencing data using an established DNA comparative genomic hybridisation algorithm.ResultsFor 129/202 (63.9%) patients theBRCA1-like status could be determined, mostly due to lack of tissue. During a median follow-up of 10.7 years, 35 recurrences and 32 deaths occurred. Addition of capecitabine appears to improve recurrence-free survival more among 61 (47.3%) patients with non-BRCA1-like tumours (HR 0.23, 95% CI 0.08–0.70) compared to 68 (52.7%) patients withBRCA1-like tumours (HR 0.66, 95% CI 0.24–1.81) (P-interaction = 0.17).ConclusionBased on our data, patients with non-BRCA1-like TNBC appear to benefit from the addition of capecitabine to adjuvant chemotherapy. Patients withBRCA1-like TNBC may also benefit. Additional research is needed to define the subgroup withinBRCA1-like TNBC patients who may not benefit from adjuvant capecitabine.
Learning to generate emotional music correlated with music structure features
Authors: Ma Lin , Zhong Wei , Ma Xin , Ye Long , Zhang Qin 
Published: February 2022

AbstractMusic can be regarded as an art of expressing inner feelings. However, most of the existing networks for music generation ignore the analysis of its emotional expression. In this paper, we propose to synthesise music according to the specified emotion, and also integrate the internal structural characteristics of music into the generation process. Specifically, we embed the emotional labels along with music structure features as the conditional input and then investigate the GRU network for generating emotional music. In addition to the generator, we also design a novel perceptually optimised emotion classification model which aims for promoting the generated music close to the emotion expression of real music. In order to validate the effectiveness of the proposed framework, both the subjective and objective experiments are conducted to verify that our method can produce emotional music correlated to the specified emotion and music structures.
Adaptive neural network control for image‐based visual servoing of robot manipulators
Authors: Qiu Zhoujingzi , Wu Zhigang 
Published: February 2022

AbstractThis paper presents a novel adaptive neural network control strategy for image‐based visual servoing (IBVS) of robotic manipulators with both eye‐in‐hand and eye‐to‐hand camera configurations in the presence of unknown dynamics and external disturbances. The IBVS method is combined with the adaptive neural network to construct the proposed adaptive neural network controller to solve the visual servoing control problem of robots. The adaptive neural network based IBVS controller is designed based on the depth‐independent interaction matrix, which can be trained on‐line to identify the visual servoing robotic system modeling errors. Moreover, the proposed method can approach the unknown nonlinear dynamics for both eye‐in‐hand and eye‐to‐hand camera configurations without requiring the robot dynamics to be linearly parameterizable, and the exact knowledge of the robot structure is not needed. On the basis of the nonlinear robot dynamics, the Lyapunov stability analysis is given to prove the asymptotical convergence of the image position and velocity errors. Simulation results for both camera configurations are provided to demonstrate the performance of the proposed adaptive neural network based approach.
Selecting and prioritizing the electricity customers for participating in demand response programs
Authors: Asghari Pardis , Zakariazadeh Alireza , Siano Pierluigi 
Published: February 2022

AbstractDemand response (DR) provides an opportunity for customers to play an important role in the operation of the electricity grid by reducing or shifting their electricity usage during peak periods. However, selecting customers to participate in DR programs is challenging. To solve this problem, typical load profiles should be characterized by data mining techniques such as clustering algorithms. Traditional clustering algorithms manually determine the centre of clusters and that the selected centre of clusters may fall into a local optimum. Here, to overcome these issues, a new clustering algorithm based on the Density Peak Clustering algorithm (DPC) and Artificial Bee Colony algorithm (ABC) which is called A‐DPC, is implemented to optimally determine the representative load curves. Moreover, by introducing a new priority index, the eligible residential customers are selected for participating in DR programs. Also, to meet the sufficient load reduction in a DR event, the proposed approach suggests a plenty number of residential customers to be called. The result evidence that A‐DPC has a stronger global search ability to optimally select the centre of clusters if compared to other clustering algorithms.
An algorithm to detect overlapping red blood cells for sickle cell disease diagnosis
Authors: Vicent Mabirizi , Simon Kawuma , Yonasi Safari 
Published: February 2022

AbstractIn Africa, Uganda is among the countries with a high number of babies (20,000 babies) born with sickle cell, contributing between 6.8% of the children born with sickle cell every year worldwide and approximately 4.5% of the children born with hemoglobinopathies worldwide. It is estimated that by 2050, sickle cell cases will increase by 30% if no intervention is put in place. To facilitate early detection of sickle cell anaemia, medical experts employ machine learning algorithms to detect sickle cell abnormality. Previous research revealed that algorithms for recognizing shape of a sickle cell from blood smear by fractional dimension, cannot detect sickle cells if applied on blood samples containing overlapping red blood cells. In this research, the authors developed an algorithm to detect overlapping red blood cells for sickle cell disease diagnosis. The algorithm uses canny edge and double threshold machine learning techniques and takes overlapping red blood cells images as inputs to detect if these cells are sickle cell anaemic. These images have a scale magnification of (200×, 400×, 650×) pixel taken using a microscope. The algorithm was tested on a total of 1000 digital images and the overall accuracy, sensitivity and specificity were 98.18%, 98.29% and 97.98% respectively.
Stellar population gradients at cosmic noon as a constraint to the evolution of passive galaxies
Authors: Ditrani F. R. , Andreon S. , Longhetti M. , Newman A. 
Published: February 2022

Context. The radial variations of the stellar populations properties within passive galaxies at high redshift contain information about their assembly mechanisms, based on which galaxy formation and evolution scenarios may be distinguished.
Aims. The aim of this work is to give constraints on massive galaxy formation scenarios through one of the first analyses of age and metallicity gradients of the stellar populations in a sample of passive galaxies at z > 1.6 based on spectroscopic data from the Hubble Space Telescope.
Methods. We combined G141 deep slitless spectroscopic data and F160W photometric data of the spectroscopically passive galaxies at 1.6 < z < 2.4 with H160 < 22.0 in the field of view of the cluster JKCS 041. We extracted spectra from different zones of the galaxies, and we analysed them by fitting them with a library of synthetic templates of stellar population models to obtain estimates of the age and metallicity gradients.
Results. We obtained reliable measurements of age and metallicity parameters in different spatial zones of four galaxies. We performed spatially resolved measurements in individual high-redshift galaxies without the need of peculiar situations (i.e. gravitational lensing) for the first time. All four galaxies exhibit negative metallicity gradients. Their amplitude, similar to that measured in galaxies in the local Universe, suggests that the stellar populations of passive galaxies from z ∼ 2 to z = 0 are not redistributed.
Conclusions. Although the sample we analysed is small, the results we obtained suggest that the main mechanism that determines the spatial distribution of the stellar population properties within passive galaxies is constrained in the first 3 Gyr of the Universe. This is consistent with the revised monolithic scenario.
Rieger-type cycles on the solar-like star KIC 2852336
Authors: Gurgenashvili E. , Zaqarashvili T. V. , Kukhianidze V. , Reiners A. , Reinhold T. , Lanza A. F. 
Published: February 2022

Context. A Rieger-type periodicity of 150–180 days (six to seven times the solar rotation period) has been observed in the Sun’s magnetic activity and is probably connected with the internal dynamo layer. Observations of Rieger cycles in other solar-like stars may give us information about the dynamo action throughout stellar evolution.
Aims. We aim to use the Sun as a star analogue to find Rieger cycles on other solar-like stars using Kepler data.
Methods. We analyse the light curve of the Sun-like star KIC 2852336 (with a rotation period of 9.5 days) using wavelet and generalised Lomb-Scargle methods to find periodicities over rotation and Rieger timescales.
Results. Besides the rotation period of 9.5 days, the power spectrum shows a pronounced peak at a period of 61 days (about six times the stellar rotation period) and a less pronounced peak at 40–44 days. These two periods may correspond to Rieger-type cycles and can be explained by the harmonics of magneto-Rossby waves in the stellar dynamo layer. The observed periods and theoretical properties of magneto-Rossby waves lead to the estimation of the dynamo magnetic field strength of 40 kG inside the star.
Conclusions. Rieger-type cycles can be used to probe the dynamo magnetic field in solar-type stars at different phases of evolution. Comparing the rotation period and estimated dynamo field strength of the star KIC 2852336 with the corresponding solar values, we conclude that the ratio Ω/BD, where Ω is the angular velocity and BD is the dynamo magnetic field, is the same for the star and the Sun. Therefore, the ratio can be conserved during stellar evolution, which is consistent with earlier observations that younger stars are more active.