bluuebunny/crossref_metadata_2025_split huggingface dataset:
Seasonal activity of Dermacentor reticulatus ticks in the era of progressive climate change in eastern Poland
Authors: Zając Zbigniew , Kulisz Joanna , Woźniak Aneta , Bartosik Katarzyna , Khan Adil 
Published: October 2021

AbstractDermacentor reticulatus ticks are one of the most important vectors and reservoirs of tick-borne pathogens in Europe. Changes in the abundance and range of this species have been observed in the last decade and these ticks are collected in areas previously considered tick-free. This may be influenced by progressive climate change. Eastern Poland is an area where the local population of D. reticulatus is one of the most numerous among those described so far. At the same time, the region is characterized by a significant increase in the mean air temperature in recent years (by 1.81 °C in 2020) and a decrease in the average number of days with snow cover (by 64 days in 2020) and in the number of days with frost (by 20 days in 2020) on an annual basis compared to the long-term average. The aim of our research was to investigate the rhythms of seasonal activity and the population size of D. reticulatus in the era of progressive climate change. To this end, questing ticks were collected in 2017–2020. Next, the weather conditions in the years of observation were analyzed and compared with multi-year data covering 30 years preceding the study. The research results show that, in eastern Poland, there is a stable population of D. reticulatus with the peak of activity in spring or autumn (up to a maximum of 359 individuals within 30 min of collection) depending on the year of observation. Ticks of this species may also be active in winter months. The activity of D. reticulatus is influenced by a saturation deficit.
Comparative analysis of high-speed videolaryngoscopy images and sound data simultaneously acquired from rigid and flexible laryngoscope: a pilot study
Authors: Pietruszewska Wioletta , Just Marcin , Morawska Joanna , Malinowski Jakub , Hoffman Joanna , Racino Anna , Barańska Magda , Kowalczyk Magdalena , Niebudek-Bogusz Ewa 
Published: October 2021

AbstractHigh-Speed Videoendoscopy (HSV) is becoming a robust tool for the assessment of vocal fold vibration in laboratory investigation and clinical practice. We describe the first successful application of flexible High Speed Videoendoscopy with innovative laser light source conducted in clinical settings. The acquired image and simultaneously recorded audio data are compared to the results obtained by means of a rigid endoscope. We demonstrated that the HSV recordings with fiber-optic laryngoscope have enabled obtaining consistently bright, color images suitable for parametrization of vocal fold oscillation similarly as in the case of the HSV data obtained from a rigid laryngoscope. The comparison of period and amplitude perturbation parameters calculated on the basis of image and audio data acquired from flexible and rigid HSV recording objectively confirm that flexible High-Speed Videoendoscopy is a more suitable method for examination of natural phonation. The HSV-based measures generated from this kymographic analysis are arguably a superior representation of the vocal fold vibrations than the acoustic analysis because their quantification is independent of the vocal tract influences. This experimental study has several implications for further research in the field of HSV application in clinical assessment of glottal pathologies nature and its effect on vocal folds vibrations.
High performance adaptive maximum power point tracking technique for off-grid photovoltaic systems
Authors: Banakhr Fahd A. , Mosaad Mohamed I. 
Published: October 2021

AbstractSolar photovoltaic (PV) energy has met great attention in the electrical power generation field for its many advantages in both on and off-grid applications. The requirement for higher proficiency from the PV system to reap the energy requires maximum power point tracking techniques (MPPT). This paper presents an adaptive MPPT of a stand-alone PV system using an updated PI controller optimized by harmony search (HS). A lookup table is formed for the temperature and irradiance with the corresponding voltage at MPP (VMPP). This voltage is considered as the updated reference voltage required for MPP at each temperature and irradiance. The difference between this updated reference voltage at MPP and the variable PV voltage due to changing the environmental conditions is used to stimulate PI controller optimized by HS to update the duty cycle (D) of the DC–DC converter. The temperature, irradiance, and corresponding duty cycle at MPP are utilized to convert this MPP technique into an adaptive one without the PI controllers' need. An experimental implementation of the proposed adaptive MPPT is introduced to test the simulation results' validity at different irradiance and temperature levels.
Impact of surface and pore characteristics on fatigue life of laser powder bed fusion Ti–6Al–4V alloy described by neural network models
Authors: Moon Seunghyun , Ma Ruimin , Attardo Ross , Tomonto Charles , Nordin Mark , Wheelock Paul , Glavicic Michael , Layman Maxwell , Billo Richard , Luo Tengfei 
Published: October 2021

AbstractIn this study, the effects of surface roughness and pore characteristics on fatigue lives of laser powder bed fusion (LPBF) Ti–6Al–4V parts were investigated. The 197 fatigue bars were printed using the same laser power but with varied scanning speeds. These actions led to variations in the geometries of microscale pores, and such variations were characterized using micro-computed tomography. To generate differences in surface roughness in fatigue bars, half of the samples were grit-blasted and the other half were machined. Fatigue behaviors were analyzed with respect to surface roughness and statistics of the pores. For the grit-blasted samples, the contour laser scan in the LPBF strategy led to a pore-depletion zone isolating surface and internal pores with different features. For the machined samples, where surface pores resemble internal pores, the fatigue life was highly correlated with the average pore size and projected pore area in the plane perpendicular to the stress direction. Finally, a machine learning model using a drop-out neural network (DONN) was employed to establish a link between surface and pore features to the fatigue data (logN), and good prediction accuracy was demonstrated. Besides predicting fatigue lives, the DONN can also estimate the prediction uncertainty.
Action video game play facilitates “learning to learn”
Authors: Zhang Ru-Yuan , Chopin Adrien , Shibata Kengo , Lu Zhong-Lin , Jaeggi Susanne M. , Buschkuehl Martin , Green C. Shawn , Bavelier Daphne 
Published: October 2021

AbstractPrevious work has demonstrated that action video game training produces enhancements in a wide range of cognitive abilities. Here we evaluate a possible mechanism by which such breadth of enhancement could be attained: that action game training enhances learning rates in new tasks (i.e., “learning to learn”). In an initial controlled intervention study, we show that individuals who were trained on action video games subsequently exhibited faster learning in the two cognitive domains that we tested, perception and working memory, as compared to individuals who trained on non-action games. We further confirmed the causal effect of action video game play on learning ability in a pre-registered follow-up study that included a larger number of participants, blinding, and measurements of participant expectations. Together, this work highlights enhanced learning speed for novel tasks as a mechanism through which action video game interventions may broadly improve task performance in the cognitive domain.
Infants’ cortex undergoes microstructural growth coupled with myelination during development
Authors: Natu Vaidehi S. , Rosenke Mona , Wu Hua , Querdasi Francesca R. , Kular Holly , Lopez-Alvarez Nancy , Grotheer Mareike , Berman Shai , Mezer Aviv A. , Grill-Spector Kalanit 
Published: October 2021

AbstractDevelopment of cortical tissue during infancy is critical for the emergence of typical brain functions in cortex. However, how cortical microstructure develops during infancy remains unknown. We measured the longitudinal development of cortex from birth to six months of age using multimodal quantitative imaging of cortical microstructure. Here we show that infants’ cortex undergoes profound microstructural tissue growth during the first six months of human life. Comparison of postnatal to prenatal transcriptomic gene expression data demonstrates that myelination and synaptic processes are dominant contributors to this postnatal microstructural tissue growth. Using visual cortex as a model system, we find hierarchical microstructural growth: higher-level visual areas have less mature tissue at birth than earlier visual areas but grow at faster rates. This overturns the prominent view that visual areas that are most mature at birth develop fastest. Together, in vivo, longitudinal, and quantitative measurements, which we validated with ex vivo transcriptomic data, shed light on the rate, sequence, and biological mechanisms of developing cortical systems during early infancy. Importantly, our findings propose a hypothesis that cortical myelination is a key factor in cortical development during early infancy, which has important implications for diagnosis of neurodevelopmental disorders and delays in infants.
Deep representation features from DreamDIAXMBD improve the analysis of data-independent acquisition proteomics
Authors: Gao Mingxuan , Yang Wenxian , Li Chenxin , Chang Yuqing , Liu Yachen , He Qingzu , Zhong Chuan-Qi , Shuai Jianwei , Yu Rongshan , Han Jiahuai 
Published: October 2021

AbstractWe developed DreamDIAXMBD (denoted as DreamDIA), a software suite based on a deep representation model for data-independent acquisition (DIA) data analysis. DreamDIA adopts a data-driven strategy to capture comprehensive information from elution patterns of peptides in DIA data and achieves considerable improvements on both identification and quantification performance compared with other state-of-the-art methods such as OpenSWATH, Skyline and DIA-NN. Specifically, in contrast to existing methods which use only 6 to 10 selected fragment ions from spectral libraries, DreamDIA extracts additional features from hundreds of theoretical elution profiles originated from different ions of each precursor using a deep representation network. To achieve higher coverage of target peptides without sacrificing specificity, the extracted features are further processed by nonlinear discriminative models under the framework of positive-unlabeled learning with decoy peptides as affirmative negative controls. DreamDIA is publicly available at https://github.com/xmuyulab/DreamDIA-XMBD for high coverage and accuracy DIA data analysis.
Qubit-excitation-based adaptive variational quantum eigensolver
Authors: Yordanov Yordan S. , Armaos V. , Barnes Crispin H. W. , Arvidsson-Shukur David R. M. 
Published: October 2021

AbstractMolecular simulations with the variational quantum eigensolver (VQE) are a promising application for emerging noisy intermediate-scale quantum computers. Constructing accurate molecular ansätze that are easy to optimize and implemented by shallow quantum circuits is crucial for the successful implementation of such simulations. Ansätze are, generally, constructed as series of fermionic-excitation evolutions. Instead, we demonstrate the usefulness of constructing ansätze with "qubit-excitation evolutions”, which, contrary to fermionic excitation evolutions, obey "qubit commutation relations”. We show that qubit excitation evolutions, despite the lack of some of the physical features of fermionic excitation evolutions, accurately construct ansätze, while requiring asymptotically fewer gates. Utilizing qubit excitation evolutions, we introduce the qubit-excitation-based adaptive (QEB-ADAPT)-VQE protocol. The QEB-ADAPT-VQE is a modification of the ADAPT-VQE that performs molecular simulations using a problem-tailored ansatz, grown iteratively by appending evolutions of qubit excitation operators. By performing classical numerical simulations for small molecules, we benchmark the QEB-ADAPT-VQE, and compare it against the original fermionic-ADAPT-VQE and the qubit-ADAPT-VQE. In terms of circuit efficiency and convergence speed, we demonstrate that the QEB-ADAPT-VQE outperforms the qubit-ADAPT-VQE, which to our knowledge was the previous most circuit-efficient scalable VQE protocol for molecular simulations.
ORFEES – a radio spectrograph for the study of solar radio bursts and space weather applications
Authors: Hamini Abdallah , Auxepaules Gabriel , Birée Lionel , Kenfack Guy , Kerdraon Alain , Klein Karl-Ludwig , Lespagnol Patrice , Masson Sophie , Coutouly Lucile , Fabrice Christian , Romagnan Renaud 
Published: October 2021

Radio bursts are sensitive tracers of non-thermal electron populations in the solar corona. They are produced by electron beams and shock waves propagating through the corona and the heliosphere, and by trapped electron populations in coronal mass ejections (CMEs) and in quiescent active regions. Combining space-borne and ground-based radio spectrographs allows one to track disturbances between the low corona, near or at the sites of particle acceleration, and the spacecraft. Radio observations are, therefore, a significant tool in probing the solar origin of heliospheric disturbances, which is a central research topic as witnessed by the Parker Solar Probe and Solar Orbiter missions. The full scientific return of these projects needs vigorous ground-based support, which at radio wavelengths covers altitudes up to about a solar radius above the photosphere. Besides research in solar and heliospheric physics, monitoring solar radio bursts also supports space weather services. On occasion, radio bursts can themselves be a space weather hazard. The Nançay radio astronomy station in central France has a long tradition of monitoring radio emission at decimetre-to-meter wavelengths. This article describes the radio spectrograph ORFEES (Observations Radiospectrographiques pour FEDOME et l’Etude des Eruptions Solaires). It observes the whole-Sun flux density between 144 and 1004 MHz, pertaining to regions between the low corona and about half a solar radius above the photosphere. ORFEES results from a partnership between Observatoire de Paris and the French Air Force, which operates the experimental space weather service FEDOME. The primary use of the instrument at the Paris Observatory is astrophysical observation. Low-resolution data with rapid availability are presently produced for the French Air Force. Similar information can be made available to a broader range of space weather service providers. This article gives an overview of the instrument design and access to the data and shows a few illustrative observations.
Impact of the COVID-19 Pandemic on Radiology in Inpatient and Outpatient Care in Germany: A Nationwide Survey Regarding the First and Second Wave
Authors: Bernatz Simon , Afat Saif , Othman Ahmed E. , Nikolaou Konstantin , Sieren Malte , Sähn Marwin-Jonathan , Pinto dos Santos Daniel , Penzkofer Tobias , Bucher Andreas Michael , Hamm Bernd , Vogl Thomas J. , Bodelle Boris ,   RACOON Consortium
Published: October 2021

Objectives To find out the opinion of radiological inpatient and outpatient medical staff regarding the measures taken in relation to the COVID-19 pandemic during the first and second waves and to identify the measures that are still perceived as needing improvement.
Materials and Methods We conducted an anonymous online survey among more than 10 000 radiologists/technicians in Germany from January 5 to January 31, 2021. A total of 862 responses (head physicians, n = 225 [inpatient doctors, n = 138; outpatient doctors, n = 84; N/A, n = 3]; radiologic personnel, n = 637 [inpatient doctor, n = 303; outpatient doctor, n = 50; inpatient technician, n = 217; outpatient technician, n = 26; N/A, n = 41]) were received. Questions of approximation, yes/no questions, and Likert scales were used.
Results During the first/second wave, 70 % (86/123)/43 % (45/104) of inpatient and 26 % (17/66)/10 % (5/52) of outpatient head physicians agreed that they received financial support from the authorities but the majority rated the financial support as insufficient. During the first and second wave, 33 % (8/24) and 80 % (16/20) of outpatient technicians agreed that they were adequately provided with personal protective equipment. The perceived lack of personal protective equipment improved for all participants during the second wave. Inpatient [outpatient] technicians perceived an increased workload in the first and second wave: 72 % (142/198) [79 % (19/24)] and 84 % (146/174) [80 % (16/20)]. Conclusion: Technicians seem increasingly negatively affected by the COVID-19 pandemic in Germany. Financial support by the competent authorities seems to be in need of improvement.
Key Points:
Citation Format
Diabetes und Impfen
Authors: Lignitz Sarah , Zepp Fred 
Published: October 2021

ZUSAMMENFASSUNGMenschen mit Diabetes mellitus haben ein krankheitsimmanent erhöhtes Infektionsrisiko. Impfungen stellen eine der wirksamsten und wichtigsten medizinischen Maßnahmen zur Prävention von Infektionen dar. Dieser Beitrag soll einen Überblick über die aktuellen Impfempfehlungen speziell für Menschen mit Diabetes mellitus geben.
Daily Care Information System Requirements: Professional Service-Driven Service Blueprint Approach
Authors: Lin Tung-Cheng , Hwang Lih-Lian , Dai Hung-da , Sang Yu-Chun 
Published: October 2021

Abstract
Background Long-term care (LTC) services are a professional service-driven (PSD) system; to deliver appropriate care services to residents, health care providers first need to collect appropriate patient data and make a professional assessment. A well-designed LTC information system should therefore consider the information requirements of multidisciplinary health care providers to adequately support their care services.
Objectives This study proposed a modified service blueprint—the PSD service blueprint—for visualizing interdisciplinary service providers' input and output information requirements, which correspond to their service activities.
Methods The PSD service blueprint comprises five layers and seven elements. We also present a case study to illustrate the blueprint's application to daily LTC services.
Results Our proposed approach could clearly illustrate the daily care activities, service providers (main actors), actors' input and output information, and suggestions for LTC information system–related applications.
Conclusion The proposed PSD service blueprint can not only gather interdisciplinary LTC service providers' information system requirements but also act as a mapping tool for visualizing the care service process.
Treatment of an Unyielding Central Vein Stenosis using Valvuloplasty Balloon in a Young Female Presenting with Ineffective Hemodialysis
Authors: Bhambhani Anupam , Joshi Amey 
Published: October 2021

Abstract
Percutaneous balloon venoplasty is widely employed for the management of central vein stenosis (CVS), a condition frequently encountered in patients on maintenance hemodialysis (MHD). The hypertrophied and fibrotic venous stenotic lesions often pose a challenge for interventionists, due to resistance to dilatation and high-elastic recoil. We report here successful utilization of mitral valvuloplasty balloon for percutaneous treatment of an unyielding brachiocephalic vein stenosis. Repeated failure of conventionally used peripheral balloon dilatation catheter prompted the use of a mitral valvuloplasty balloon that could exert higher radial pressure while preventing melon-seeding and hence successfully achieve stenosis dilatation. The mitral valvuloplasty balloon can be effectively and safely used for lesions resistant to repeated dilatations by conventional peripheral balloons. Rheological stress on central veins from ipsilateral arteriovenous fistula (AVF) may result in development of stenotic lesions, even in the absence of prior venous catheterization of the affected vein; therefore, in the presence of relevant symptoms, this diagnosis should not be excluded on the basis of absence of prior direct trauma at the stenosis site.
Do we achieve anything by teaching research integrity to starting PhD students?
Authors: Abdi Shila , Fieuws Steffen , Nemery Benoit , Dierickx Kris 
Published: October 2021

AbstractEducation of young researchers has been proposed as a way to promote research integrity. However, the effectiveness of research integrity education on PhD students is unknown. In a longitudinal design, we surveyed over 1000 starting PhD students from various disciplines regarding knowledge, attitude and behaviour before, immediately after and 3 months after a compulsory 3-h course given by a panel of experts. Compared with a control group who did not follow the course, the course recipients showed significant (multivariate analysis) but modest improvements in knowledge and attitude scores immediately after the course, but not after 3 months; a prolonged impact was apparent regarding behaviour. Moreover, the course spurred 93% of PhD students to have conversations about research integrity and 79% declared applying the content of the course. Among other interventions, formal education in research integrity may contribute to foster a climate of research integrity in academia.
Convergence of two-point Padé approximants to piecewise holomorphic functions
Authors: Yattselev M. L. 
Published: October 2021

Abstract
Let

and

be formal power series at the origin and infinity, and

,

, be the rational function that simultaneously interpolates

at the origin with order

and

at infinity with order

. When germs

and

represent multi-valued functions with finitely many branch points, it was shown by Buslaev that there exists a unique compact set

in the complement of which the approximants converge in capacity to the approximated functions. The set

may or may not separate the plane. We study uniform convergence of the approximants for the geometrically simplest sets

that do separate the plane.
Bibliography: 26 titles.
On optimal recovery of values of linear operators from information known with a stochastic error
Authors: Krivosheev K. Yu. 
Published: October 2021

Abstract
The optimal recovery of values of linear operators is considered for classes of elements the information on which is known with a stochastic error. Linear optimal recovery methods are constructed that, in general, do not use all the available information for the measurements. As a consequence, an optimal method is described for recovering a function from a finite set of its Fourier coefficients specified with a stochastic error.
Bibliography: 14 titles.
New moduli components of rank 2 bundles on projective space
Authors: Almeida C. , Jardim M. , Tikhomirov A. S. , Tikhomirov S. A. 
Published: October 2021

Abstract
We present a new family of monads whose cohomology is a stable rank 2 vector bundle on

. We also study the irreducibility and smoothness together with a geometrical description of some of these families. These facts are used to construct a new infinite series of rational moduli components of stable rank 2 vector bundles with trivial determinant and growing second Chern class. We also prove that the moduli space of stable rank 2 vector bundles with trivial determinant and second Chern class equal to 5 has exactly three irreducible rational components.
Bibliography: 40 titles.