bluuebunny/crossref_metadata_2025_split huggingface dataset:
GalliForm, a database of Galliformes occurrence records from the Indo-Malay and Palaearctic, 1800–2008
Authors: Boakes Elizabeth H. , Fuller Richard A. , Mace Georgina M. , Ding Changqing , Ang Tzo Tze , Auffret Alistair G. , Clark Natalie E. , Dunn Jonathon , Gilbert Jennifer , Golovnyuk Viktor , Gupta Garima , Irlich Ulrike , Joachim Emily , O’ Connor Kim , Potapov Eugene , Potapov Roald , Schleicher Judith , Stebbing Sarah , Townshend Terry , McGowan Philip J. K. 
Published: October 2020

AbstractHistorical as well as current species distribution data are needed to track changes in biodiversity. Species distribution data are found in a variety of sources, each of which has its own distinct bias toward certain taxa, time periods or places. We present GalliForm, a database that comprises 186687 galliform occurrence records linked to 118907 localities in Europe and Asia. Records were derived from museums, peer-reviewed and grey literature, unpublished field notes, diaries and correspondence, banding records, atlas records and online birding trip reports. We describe data collection processes, georeferencing methods and quality-control procedures. This database has underpinned several peer-reviewed studies, investigating spatial and temporal bias in biodiversity data, species’ geographic range changes and local extirpation patterns. In our rapidly changing world, an understanding of long-term change in species’ distributions is key to predicting future impacts of threatening processes such as land use change, over-exploitation of species and climate change. This database, its historical aspect in particular, provides a valuable source of information for further studies in macroecology and biodiversity conservation.
Oral microbiota and dental caries data from monozygotic and dizygotic twin children
Authors: Kasimoglu Yelda , Koruyucu Mine , Birant Sinem , Karacan Ilker , Topcuoglu Nursen , Tuna Elif Bahar , Gencay Koray , Seymen Figen 
Published: October 2020

AbstractThere are recent studies which aimed to detect the inheritance on the etiology of dental caries exploring oral composition. We present data on the oral microbiota and its relation with dental caries and other factors in monozygotic (MZ) and dizygotic (DZ) twin children. Following clinical investigation, DNA samples were collected and isolated from saliva of 198 patients (49 MZ and 50 DZ twins) with an average age of 9.7 ± 2.7 years. Salivary bacterial microbiota analysis was performed using high throughput amplicon sequencing method targeting V3-V4 region of the 16S rRNA gene. A total of 8,297,859 raw reads corresponding to 41,908 reads per sample were obtained on average. The QIIME2-deblur workflow was used for 16S rRNA amplicon analysis. Microbiome similarity analyses between twins (based on Bray-Curtis dissimilarity, weighted and unweighted Unifrac distances) showed that monozygotic twins share more bacterial microbial content compared to dizygotic twins. This is a large microbial community dataset of MZ and DZ twins with or without dental findings which can be further used for children oral microbiome profile explorations.
Manually curated and harmonised transcriptomics datasets of psoriasis and atopic dermatitis patients
Authors: Federico Antonio , Hautanen Veera , Christian Nils , Kremer Andreas , Serra Angela , Greco Dario 
Published: October 2020

AbstractWe present manually curated transcriptomics data of psoriasis and atopic dermatitis patients retrieved from the NCBI Gene Expression Omnibus and EBI ArrayExpress repositories. We collected 39 transcriptomics datasets, deriving from DNA microarrays and RNA-Sequencing technologies, for a total of 1677 samples. We provide quality-checked, homogenised and preprocessed gene expression matrices and their corresponding metadata tables along with the estimated surrogate variables. These data represent a ready-made valuable source of knowledge for translational researchers in the dermatology field.
Data based predictive models for odor perception
Authors: Chacko Rinu , Jain Deepak , Patwardhan Manasi , Puri Abhishek , Karande Shirish , Rai Beena 
Published: October 2020

AbstractMachine learning and data analytics are being increasingly used for quantitative structure property relation (QSPR) applications in the chemical domain where the traditional Edisonian approach towards knowledge-discovery have not been fruitful. The perception of odorant stimuli is one such application as olfaction is the least understood among all the other senses. In this study, we employ machine learning based algorithms and data analytics to address the efficacy of using a data-driven approach to predict the perceptual attributes of an odorant namely the odorant characters (OC) of “sweet” and “musky”. We first analyze a psychophysical dataset containing perceptual ratings of 55 subjects to reveal patterns in the ratings given by subjects. We then use the data to train several machine learning algorithms such as random forest, gradient boosting and support vector machine for prediction of the odor characters and report the structural features correlating well with the odor characters based on the optimal model. Furthermore, we analyze the impact of the data quality on the performance of the models by comparing the semantic descriptors generally associated with a given odorant to its perception by majority of the subjects. The study presents a methodology for developing models for odor perception and provides insights on the perception of odorants by untrained human subjects and the effect of the inherent bias in the perception data on the model performance. The models and methodology developed here could be used for predicting odor characters of new odorants.
Adding carbon fiber to shoe soles may not improve running economy: a muscle-level explanation
Authors: Beck Owen N. , Golyski Pawel R. , Sawicki Gregory S. 
Published: October 2020

AbstractIn an attempt to improve their distance-running performance, many athletes race with carbon fiber plates embedded in their shoe soles. Accordingly, we sought to establish whether, and if so how, adding carbon fiber plates to shoes soles reduces athlete aerobic energy expenditure during running (improves running economy). We tested 15 athletes as they ran at 3.5 m/s in four footwear conditions that varied in shoe sole bending stiffness, modified by carbon fiber plates. For each condition, we quantified athlete aerobic energy expenditure and performed biomechanical analyses, which included the use of ultrasonography to examine soleus muscle dynamics in vivo. Overall, increased footwear bending stiffness lengthened ground contact time (p = 0.048), but did not affect ankle (p ≥ 0.060), knee (p ≥ 0.128), or hip (p ≥ 0.076) joint angles or moments. Additionally, increased footwear bending stiffness did not affect muscle activity (all seven measured leg muscles (p ≥ 0.146)), soleus active muscle volume (p = 0.538; d = 0.241), or aerobic power (p = 0.458; d = 0.04) during running. Hence, footwear bending stiffness does not appear to alter the volume of aerobic energy consuming muscle in the soleus, or any other leg muscle, during running. Therefore, adding carbon fiber plates to shoe soles slightly alters whole-body and calf muscle biomechanics but may not improve running economy.
The weak magnetic field inhibits the supramolecular self-ordering of chiral molecules
Authors: Stovbun Sergey V. , Zanin Anatoly M. , Skoblin Aleksey A. , Zlenko Dmitry V. 
Published: October 2020

AbstractThe magnetic field can affect processes in the non-magnetic systems, including the biochemical reactions in the living cells. This phenomenon becomes possible due to the fermionic nature of an electron and significant energy gain provided by the exchange interactions. Here we report the inhibition effect of the magnetic field on the processes of the chiral supramolecular, i.e., macroscopic self-ordering in the non-magnetic model system. The observed effect is in tune with the reports on the influence of the magnetic field on the adsorption of the chiral molecules, which was explained by the effect of the chirally-induced spin-selectivity and the inhibition of the chemical reactions caused by the singlet-triplet conversion. The magneto sensitivity of the process of the chiral self-ordering directly indicates its spin-polarization nature. Tacking together all of the results in the field, we can propose that the chirality-driven exchange interactions guide the selection of the chiral molecules and explain their prevalence in the living matter. It is also probable that these forces have played a critical role in the origin of life on Earth.
Spectroluminescence measurements of the stability constants of CanUO2(CO3)3(4−2n)−complexes in NaClO4medium and the investigation of interaction effects
Authors: Shang Chengming , Reiller Pascal E. , Vercouter Thomas 
Published: October 2020

The stability constants of ternary calcium uranyl tricarbonate complexes, CaUO2(CO3)32− and Ca2UO2(CO3)3(aq), were determined in NaClO4 medium at various ionic strengths using time-resolved laser-induced luminescence spectroscopy (TRLS).
Ophthalmology Applicant Perceptions of Two Residency Application Services: The San Francisco Match Central Application Service and Electronic Residency Application Service
Authors: Dharssi Shazia , Woreta Fasika A. , Boland Michael V. 
Published: October 2020

Abstract
Purpose Given ophthalmology residency programs are transitioning to include the internship year, either through “joint” or “integrated” 4-year programs, we set out to identify applicant preferences regarding the match and their experiences with two residency application systems: (1) the Central Application Service (CAS) and (2) the Electronic Residency Application Service (ERAS).
Design This study is designed as a retrospective repeated cross-sectional survey.
Methods A 15-question online survey was sent to 196 and 461 applicants to the 2019 and 2020 ophthalmology match cycles, respectively. Questions from the survey assessed user experiences with specific components of both application services and evaluated preferences regarding the future of the ophthalmology match.
Results Responses were received from 208 (32%) applicants. A majority of users had positive experiences with both application services; for CAS, 162 (78%) applicants had a positive experience, compared with 111 (53%) for ERAS. When compared directly, applicants favored the CAS (60%) to ERAS (21%). Furthermore, 108 (52%) respondents stated that they would prefer ophthalmology continue to use both the CAS and ERAS, while 47 (23%) respondents indicated a desire for the CAS to become the only application system for both matches.
Conclusion Although half of all respondents prefer that both the CAS and ERAS systems are utilized for the match process, many express a desire for a single matching program. As ophthalmology residency programs move to joint and integrated 4-year programs, the complexity of matching will increase. Further evaluation of applicant preferences during this transition phase is needed as applicants are required to apply to a variety of different joint and integrated internship and ophthalmology programs.
Classification of various sources of error in range assessment using proton radiography and neural networks in head and neck cancer patients
Authors: Oria Carmen Seller , Marmitt Gabriel Guterres , Both Stefan , Langendijk Johannes A , Knopf Antje C , Meijers Arturs 
Published: October 2020

Abstract
This study evaluates the suitability of convolutional neural networks (CNNs) to automatically process proton radiography (PR)-based images. CNNs are used to classify PR images impaired by several sources of error affecting the proton range, more precisely setup and calibration curve errors. PR simulations were performed in 40 head and neck cancer patients, at three different anatomical locations (fields A, B and C, centered for head and neck, neck and base of skull coverage). Field sizes were 26 × 26cm2 for field A and 4.5 × 4.5cm2 for fields B and C. Range shift maps were obtained by comparing an unperturbed reference PR against a PR where one or more sources of error affected the proton range. CT calibration curve errors in soft, bone and fat tissues and setup errors in the anterior–posterior and inferior–superior directions were simulated individually and in combination. A CNN was trained for each type of PR field, leading to three CNNs trained with a mixture of range shift maps arising from one or more sources of range error. To test the full/partial/wrong agreement between predicted and actual sources of range error in the range shift maps, exact, partial and wrong match percentages were computed for an independent test dataset containing range shift maps arising from isolated or combined errors, retrospectively. The CNN corresponding to field A showed superior capability to detect isolated and combined errors, with exact matches of 92% and 71% respectively. Field B showed exact matches of 80% and 54%, and field C resulted in exact matches of 77% and 41%. The suitability of CNNs to classify PR-based images containing different sources of error affecting the proton range was demonstrated. This procedure enables the detection of setup and calibration curve errors when they appear individually or in combination, providing valuable information for the interpretation of PR images.
Computer modeling of the acoustic path of a normal probe in cast iron with globular graphite
Authors: Danilov V N , Voronkova L V 
Published: October 2020

Abstract
Using the previously developed model for estimating the attenuation coefficient of elastic longitudinal waves in cast iron due to their Rayleigh scattering on graphite inclusions, we studied the influence of such attenuation for cast iron with spherical graphite on the characteristics of signals with frequency spectra of different widths depending on the cast iron models and the distance traveled by the ultrasonic wave.
Development of an automated system for ultrasonic testing of products obtained by additive manufacturing processes
Authors: Gordeeva L F , Prokhorovich V E , Bychenok V A , Alifanova I E 
Published: October 2020

Abstract
The authors conduct research on ultrasonic testing of products obtained by additive manufacturing processes. This article provides a diagram and a general view of the model of the developed ultrasonic system. The article contains a description of the object under study with simulated defects, as well as a scheme for its testing. As the results of the study, the article provides A-scans.
Eddy current method for steel billet mould level control
Authors: Terekhin I V , Chernova E A 
Published: October 2020

Abstract
The relevant issue of metal level control in a mould of continuous casting machine (CCM) is improving the measurement accuracy when adding slag powders in a mould. The main disadvantage of the widely used radiometric metal level control devices (MLCDs) is the dependence of the output signal on the amount of slag in a mould. Eddy current (EC) sensor for metal level control is not sensitive to the slag. It detects metal level indirectly by temperature of copper mould wall, which is in contact with liquid metal. As a consequence, eddy current MLCD speed of response is limited to the time constant of thermal transient processes in a mould wall, which is insufficient to modern steel industry. This paper deals with a mould CCM metal level control method by means of the EC sensor based on signal detection from the liquid metal through a copper mould wall. The direct method provides required signal speed of response of eddy current MLCD in the case of steel casting with the slag.
Design of multiprobe for fuel-elements cladding eddy current testing
Authors: Krukov A S , Shchukis E G , Kodak N P , Lunin V P 
Published: October 2020

Abstract
This article presents a study of the eddy current flaw detector (ECFD) numeric model in order to choose the necessary parameters for zirconium pipes control. As a result of mathematical modeling, the multiprobe ECFD was designed and the eddy flaw control conditions were found. The analysis of defect signals with various geometrical parameters leads to a conclusion that the presence of discontinuity registration needs a phase method of data processing.
Identification of defect type in non-destructive testing of polymer composite structures
Authors: Kuryatin A , Rusakov D , Chernushin V 
Published: October 2020

Abstract
The paper describes non-destructive testing of composite honeycomb materials, to identify the type of defect, such as delamination, non-adhesion, inclusion, etc. Practical recommendations on testing monolithic, combined, multilayer and reinforced structures and defect identification have been given.
Development of measurement science in the context of the fourth industrial revolution
Authors: Taymanov R , Sapozhnikova K 
Published: October 2020

Abstract
The fourth industrial revolution is characterised by the wide introduction of cyber-physical systems, robotics and the Internet of Things. The efficiency of smart cities, smart manufacturing, smart transport, etc. can be provided only if the measurement information coming from sensors is trustworthy. In each facility, the number of sensors can vary from thousands to tens of thousands. The avalanche-like growth in the number of measuring instruments should be accompanied by quite frequent check of their metrological serviceability. In this case, a significant reduction in maintenance labour costs can be achieved by increasing calibration or verification intervals by many times. The development in this direction is challenging because of the growing demand for the increase in the number of complex properties that should be quantitatively estimated. The fundamentals of metrological check and features of applying object digital twins for debugging multichannel measuring systems have been given. The need for international standards in this field has been emphasised.
Thermography of inner surfaces of high-temperature industrial facilities
Authors: Bykov A A , Khokhlov D D , Gorevoy A V , Volkov M V 
Published: October 2020

Abstract
Thermography of inner surfaces of high-temperature facilities is an important task of industrial non-destructive testing. Existing methods operating in the visible wavelength range require the spectral scanning during the image acquisition to determine the distribution of temperature across the field of view. The infrared imaging techniques require specific lenses and image sensors. In this paper, we propose a method for remote determination of the spatial temperature distribution that is not limited by the mentioned restrictions. It is based on the use of an image sensor with a mosaic spectral filter array installed on it. This paper presents the layout of the prototype and the possibility of its practical application demonstrated in laboratory conditions.
A method of synthesis of small-sized high-speed optical measuring flaw detection systems
Authors: Chichigin B A , Groo I A 
Published: October 2020

Abstract
A method for the synthesis of small-sized high-speed measuring flaw detection systems has been developed, with which it is possible to develop and create systems to solve said problem. For testing of this method, a prototype of the system was developed. Principles of developing of the prototype, its software operation and the results of its testing are provided in this article.
Dependence of the characteristics of acousto-optic modulators and filters based on single-crystal media on the radiation wavelength in the infrared and terahertz ranges
Authors: Nikitin P A , Polikarpova N V 
Published: October 2020

Abstract
A theoretical study of the dependence of the spectral resolution of acousto-optic filters and the maximum number of resolved elements of acousto-optic deflectors on the radiation wavelength in the range 40 − 100 μm was carried out. Semiconductor single crystals with a cubic crystal lattice, which are transparent in the considered range, were chosen as the material of acousto-optic devices. It is shown that with increasing wavelength from 40 to 100 μm, the spectral resolution of the filters increases from 10 to 103, and the maximum number of resolved elements of the deflectors decreases from 104 to 102.
Can the ghost imaging increase the lateral resolution of surface plasmon resonance microscopy?
Authors: Khasanov I Sh , Zykova L A 
Published: October 2020

Abstract
Surface plasmon resonance (SPR) microscopy is one of the most sensitive optical label-free methods of microscopy. Nevertheless, it does not have a sufficiently high lateral resolution in comparison with other methods of optical microscopy. By analogy with the scattering medium, surface plasmon polaritons (SPPs) blur the observed area. To eliminate this disadvantage, we propose to adapt the method known as ghost imaging (GI), which is notable for its tolerance to environmental aberrations between an object and a camera. In this article, we propose a ghost imaging scheme for a surface plasmon resonance microscope using a pseudo-thermal radiation source. We make a fundamental analysis of the factors affecting the resolution capability of the ghost SPR microscopy. We claim that applying the ghost imaging method to SPR microscopy can improve its lateral resolution by eliminating uncorrelated with modulated radiation phase noise generated by the process of random re-emission of surface electromagnetic wave (SEW) from the site of excitation. In combination of factors, the ghost imaging method of SPR microscopy is potentially capable of becoming outstanding among other methods of microscopy of thin films.
Denning phenology and reproductive success of wolves in response to climate signals
Authors: Mahoney Peter J , Joly Kyle , Borg Bridget L , Sorum Mathew S , Rinaldi Todd A , Saalfeld David , Golden Howard , Latham A David M , Kelly Allicia P , Mangipane Buck , Koizumi Catherine Lambert , Neufeld Layla , Hebblewhite Mark , Boelman Natalie T , Prugh Laura R 
Published: October 2020

Abstract
Arctic and boreal ecosystems are experiencing rapid changes in temperature and precipitation regimes. Subsequent shifts in seasonality can lead to a mismatch between the timing of resource availability and species’ life-history events, known as phenological or trophic mismatch. Although mismatch has been shown to negatively affect some northern animal populations, longer-term impacts across large regions remain unknown. In addition, animals may rely on climate cues during preceding seasons to time key life history events such as reproduction, but the reliability of these cues as indicators of subsequent resource availability has not been examined. We used remote sensing and gridded spatial data to evaluate the effect of climate factors on the reproductive phenology and success of a wide-ranging carnivore, the gray wolf (Canis lupus). We used global positioning system (GPS) location data from 388 wolves to estimate den initiation dates (n = 227 dens within 106 packs) and reproductive success in eight populations across northwestern North America from 2000 to 2017. Spring onset shifted 14.2 d earlier, on average, during the 18-year period, but the regional mean date of denning did not change. Preceding winter temperature was the strongest climatic predictor of denning phenology, with higher temperatures advancing the timing of denning. Winter temperature was also one the strongest and most reliable indicators of the timing of spring onset. Reproductive success was not affected by timing of denning or synchrony with spring onset, but improved during cooler summers and following relatively dry autumns. Our findings highlight a disconnect between climate factors that affect phenology and those that affect demography, suggesting that carnivores may be resilient to shifts in seasonality and yet sensitive to weather conditions affecting their prey at both local and regional scales. These insights regarding the relationship between climate and carnivore demography should improve predictions of climate warming effects on the highest trophic levels.