bluuebunny/crossref_metadata_2025_split huggingface dataset:
Review of wearable technologies and machine learning methodologies for systematic detection of mild traumatic brain injuries
Authors: Schmid William , Fan Yingying , Chi Taiyun , Golanov Eugene , Regnier-Golanov Angelique S , Austerman Ryan J , Podell Kenneth , Cherukuri Paul , Bentley Timothy , Steele Christopher T , Schodrof Sarah , Aazhang Behnaam , Britz Gavin W 
Published: July 2021

Abstract
Mild traumatic brain injuries (mTBIs) are the most common type of brain injury. Timely diagnosis of mTBI is crucial in making ‘go/no-go’ decision in order to prevent repeated injury, avoid strenuous activities which may prolong recovery, and assure capabilities of high-level performance of the subject. If undiagnosed, mTBI may lead to various short- and long-term abnormalities, which include, but are not limited to impaired cognitive function, fatigue, depression, irritability, and headaches. Existing screening and diagnostic tools to detect acute and early-stage mTBIs have insufficient sensitivity and specificity. This results in uncertainty in clinical decision-making regarding diagnosis and returning to activity or requiring further medical treatment. Therefore, it is important to identify relevant physiological biomarkers that can be integrated into a mutually complementary set and provide a combination of data modalities for improved on-site diagnostic sensitivity of mTBI. In recent years, the processing power, signal fidelity, and the number of recording channels and modalities of wearable healthcare devices have improved tremendously and generated an enormous amount of data. During the same period, there have been incredible advances in machine learning tools and data processing methodologies. These achievements are enabling clinicians and engineers to develop and implement multiparametric high-precision diagnostic tools for mTBI. In this review, we first assess clinical challenges in the diagnosis of acute mTBI, and then consider recording modalities and hardware implementation of various sensing technologies used to assess physiological biomarkers that may be related to mTBI. Finally, we discuss the state of the art in machine learning-based detection of mTBI and consider how a more diverse list of quantitative physiological biomarker features may improve current data-driven approaches in providing mTBI patients timely diagnosis and treatment.
NMR investigations toward understanding the variety of ground states in iron-based superconductors
Authors: Nishioka S. , Kouchi T. , Sakano F. , Yashima M. , Mukuda H. , Yogi M. , Yamaura K. , Takayama-Muromachi E. , Miyasaka S. , Tajima S. , Eisaki H. , Iyo A. , Kodani M. , Kakuto T. , Lee J.-H. , Kambe T. 
Published: July 2021

Abstract
We report NMR experiments on heavily electron-doped Fe-based superconductor in comparison with the results on the parent Fe-based compounds. The typical parent Fe-based compound LaFe(As1-x′P
x′)O exhibits the re-emergent antiferromagnetic (AFM) order at x′ ~ 0.6 (AFM2) separated from the parent AFM order at x′ =0 (AFM1). Systematic 31P-NMR study on [Sr4Sc2O6]Fe2(As1−x
P
x
)2 (SrSc42622), which has local lattice parameters of iron-pnictogen (FePn) layer similar to the series of LaFe(As1−x′/P
x′)O, also revealed that the presence of AFM1 order is universal for most of parent Fe-based compounds. In contrast, the static AFM2 order was absent in this series, however, the dynamical low-energy AFM spin fluctuations are enhanced at around x ~ 0.8, indicating that the onset of the static AFM2 is quite sensitive to the local lattice parameters of FePn layer. In order to elucidate the further universality and diversity, we have carried out 77Se-NMR measurement on Li
x
(NH3)yFe2−δ
Se2 (Tc
= 44 K) in heavily electron-doped regime. Although the spin fluctuations at low energies does not significantly develops upon cooling, the moderate spin fluctuations were extracted at high temperatures from comparison of the temperature (T) dependences of Knight shift and nuclear relaxation rate (1/T
1
T). We discuss the universality and diversity of the relationship between the Tc
and the characteristics of the spin fluctuations in the Fe-based compounds from a microscopic point of the NMR measurements.
Complex conductivity of FeSe1–xTex(x = 0 – 0.5) films
Authors: Kurokawa Hodaka , Nakamura Sota , Zhao Jiahui , Shikama Naoki , Sakishita Yuki , Sun Yue , Nabeshima Fuyuki , Imai Yoshinori , Kitano Haruhisa , Maeda Atsutaka 
Published: July 2021

AbstractWe measured the complex conductivity, σ, of the FeSe1−xTex(x= 0 – 0.5) films belowTcwhich show a drastic increase of the superconducting transition temperature,Tc, when the nematic order disappears. Since the magnetic penetration depth, λ (> 400 nm) of Fe(Se, Te) is longer than the typical thickness of the film (∼100 nm), we combined the coplanar-waveguide-resonator- and cavity-perturbation techniques to evaluate both the real and imaginary parts of σ. Films with the nematic order showed a qualitatively different behavior of the quasiparticle scattering time compared with those without the nematic order, suggesting that the nematic order influences the superconducting gap structure. On the other hand, the proportionality between the superfluid density,ns/m* (∝ λ−2), andTcwas observed irrespective of the presence or absence of the nematic order. This result indicates that the amount of the superfluid has a stronger impact onTcof Fe(Se, Te) than the presence or absence of the nematic order itself.
Focused ion beam microfabrication of single-crystal nanobridge toward Fe(Te, Se)-based Josephson device
Authors: Miyazawa Takamaro , Tadokoro Naoki , Horikawa Shumpei , Tamegai Tsuyoshi , Sun Yue , Kitano Haruhisa 
Published: July 2021

Abstract
We report the fabrication and the transport measurements of FeTe1-xSex (x=0.4, 1) nanobridges along the c axis, toward the appearance of Josephson effects in single-crystal devices. Cross sectional areas of both FeTe0.6Se0.4 and FeSe nanobridges were systematically reduced to 0.06 μm2 by using a new method based on the focused ion beam (FIB) techniques. The critical current Ic
measured by the current-voltage characteristics is roughly two orders of magnitude smaller than that for the conventional microbridges with larger cross sections, while the IcRn
product, where R
n is the normal-state resistance along the c axis, is still 3-4 times larger than the theoretical value for the appearance of Josephson effects. We argue the importance of the development of single-crystal Josephson devices and the comparison between FeTe0.6Se0.4 and FeSe nanobridges.
Anisotropic Critical Current Densities in Ba0.6K0.4Fe2As2 with Splayed Columnar Defects
Authors: Wang Jiachen , Takahashi Ayumu , Pyon Sunseng , Yoshida Atsushi , Kambara Tadashi , Sun Yue , Kitano Haruhisa , Tamegai Tsuyoshi 
Published: July 2021

Abstract
Enhancement and non-monotonic field dependence of critical current density (Jc
), called anomalous peak effect, were observed in Ba1−x
K
x
Fe2As2 with splayed columnar defects. In principle, anisotropy of in-plane Jc
should be present in this superconductor since the introduced splayed columnar defects introduce anisotropy in the plane. This study reports in-plane anisotropy of Jc
observed in 2.6 GeV U irradiated Ba0.6K0.4Fe2As2 with splay angles of ±15° and ±20°. Results show that Jc
component parallel to the splay plane is larger than the perpendicular component, and the parallel component contribute to the anomalous peak effect at around B
Φ/3 more.
An RSFQ flexible-precision multiplier utilizing bit-level processing
Authors: Kito Nobutaka , Takagi Kazuyoshi 
Published: July 2021

Abstract
An RSFQ flexible-precision multiplier is proposed. The circuit can perform multiplication with specified bit-width within a predefined bit range. The calculation bit-width can be changed in every operation. When the bit-width of a calculation decreases, the latency in cycles is reduced. The proposed circuit calculates the multiplication result with bit-level processing to save the circuit area. The circuit carries out multiplication by counting pulses on a signal line. An RSFQ flexible-precision matrix multiplication circuit based on the proposed multiplier is also proposed. Its internal multipliers share many component circuits and it is implemented in a compact area.
Double armature HTS bulk synchronous machine
Authors: Takei S , Izumi M , Yamaguchi K , Ida T , Shaanika E 
Published: July 2021

Abstract
In many high-temperature superconducting (HTS) rotating machines of radial flux type, the magnetic field from one side surface of the field pole is employed facing the armature winding. However, both side surfaces of the field pole can be effectively utilised to face the armature windings. Thus, we have applied the double armature structure in which both inner and outer armature rotors sandwiched the field pole stator in the HTS synchronous generator. We introduce the first step design and the electromagnetic study of the double armature synchronous machine for tidal current power generation. The double armatures with copper winding were adopted with a field pole composed of the HTS bulks. The power and the torque density were calculated with a low speed that depends on a 500 kW contra-rotating turbine design. In this paper, we comparatively studied three electromagnetic designs in which (1) a permanent magnet was used for the field pole, (2) the HTS bulk was employed as the field pole and (3) the field pole HTS bulk was arranged at an angle in the x-y plane, reducing torque ripple due to torque consistency and tilting of the HTS bulk plate. A generator model consistent with the input mechanical torque of the turbine was obtained from the analysis of compatibility with the 500 kW class tidal current power generation.
Design and evaluation of 10-kA class superconducting DC power cable based on longitudinal magnetic field effect
Authors: Kinoshita Y , Yonenaka T , Ichiki Y , Akasaka T , Otabe E S , Kiuchi M , Matsushita T , Hu N , Ni B , Ma T 
Published: July 2021

Abstract
In this study, we designed a power cable based on the longitudinal magnetic field (LMF) effect using an iterative approximation method. An evaluation of the cable shows that it is more efficient than conventional-design power cables. A cable with four inner layers and four shield layers and a maximum winding angle of 30° had a current capacity of more than 10 kA. Based on calculation results, we fabricated a 2-m-long LMF power cable and a conventional-design power cable. Experimental results show that the proposed power cable can carry more current (8.8% more current per tape and 18% more current overall) than a conventional-design power cable due to the LMF effect. These results well agree with the theoretical calculation results.
Modeling and Simulation of Buoy Heave Response Under Electric Generator Load Using Simulink
Authors: Wang Peng , He Guanghua , Luan Zhengxiao 
Published: July 2021

Abstract
According to the different links of energy transmission, the oscillating buoy wave energy converter is divided into mechanical mode and hydraulic mode. For the oscillating buoy wave energy converter with mechanical transmission, it’s requisite to consider the influence of electric generator and different transmission ratio on the heave response of buoy in its design process. Consequently, the Simulink toolbox is used to establish the simulation model of the buoy heave response under the electric generator load, and the heave response of the buoys with different diameters under the electric generator and transmission ratio is analysed. The results show that as the buoy diameter increases linearly, the heave displacement, heave velocity and generating power curve amplitude do not increase linearly which shows that the increment of amplitude becomes smaller. Therefore, buoys with different diameters have different load capacity.
Risk Assessment of LNG Ship Navigation in Inland Water Based on FAHP-cloud Model
Authors: Chaofan Liu , Guoping Guo 
Published: July 2021

Abstract
In order to understand the navigation safety risks of LNG ships in inland waterways, the paper combines the general accident risk assessment and the specific navigation environment of inland rivers[1], and analyzes the probability of collision accidents[9]. Combined with the characteristics of the specific navigation environment, to construct a hierarchical model of the risk factors for the navigation safety of inland LNG ships. Set the entry channel in the Dongsha operation area of Zhang jiagang Port area as the research scene, use the FAHP (fuzzy analytic hierarchy) process to determine the weight value of each navigation risk factor, use the cloud model to quantify the conversion of qualitative risk factors[13], quantitatively evaluate the risk level of risk factor indicators, and combine qualitative analysis to analyze the risk level of the approach channel in the Dongsha operation area from a quantitative perspective. The result objectively demonstrated the risk level of the channel, and verified that the evaluation result conforms to reality.
Influence of Stairwell Ventilation State on Fire Behavior and Smoke Temperature Distribution in a Full-scale High-rise Building
Authors: He J J , Zhang J , Ning X Y , Wang J , Yuen R K K 
Published: July 2021

Abstract
In this study, a set of experiments were carried out in a 21-story full-scale building varying stairwell ventilation state to investigate the fire behavior and smoke temperature distribution in the stairwell. Results demonstrate that the ventilation state of top vents has a great influence on the fire behavior and smoke temperature distribution than the bottom vents. The flame inclines to the stairwell with top vents open during the steady stage, while with top vents closed, it just tilts slightly to the side wall. The mass loss rates and temperature attenuations with top vents closed are larger than those with top vents open. In addition, the open of bottom vents can cause a reduction in the smoke temperature. These unique full-scale experiments provide crucial experimental data that help the design of safer smoke ventilation systems for stairwells in a high-rise building.
Doping and annealing effects on structural, optical and electrical characteristics of Sn-doped ZnS thin film
Authors: Sayeed Md Abu , Rouf Hasan Khaled , Hussain Kazi Md Amjad 
Published: July 2021

AbstractThis work presents the fabrication of Zn1−xS:Snxthin films using the chemical bath deposition method and investigates the effects of Sn doping and annealing temperature on the structural, optical and electrical properties of ZnS thin films. The XRD patterns show that the relative intensities of the major diffraction peaks increase with Sn dopant incorporation and annealing temperature. Because high-temperature annealing forms several nucleation centers throughout the lattice and dopant incorporation enhances point defects leading to crystallite boundary mobility enhancement, crystallinity is also improved. UV–vis-NIR spectrophotometric studies revealed that the films have good transmittance that is larger than 75% in both visible and near-infrared regions and their optical bandgap ranges from 3.34 eV to 3.90 eV. Both the Sn content and annealing temperature cause the transmittance and the optical bandgap to rise. The absorption edge shifts towards the longer wavelength for higher Sn contents and annealing temperatures. Also, the decreased Urbach energy with increased Sn content or annealing temperature can be attributed to the reduced structural disorders and dislocations of ZnS crystals that are indicated by improved crystallinity. Electrical characterization by the two-point probe method exhibits that at higher annealing temperature grain boundary scattering limits the number of mobile carriers by increasing interatomic binding. On the other hand, due to increased carrier concentration and decreased dislocations resulting from the Sn content or annealing, localized carriers dominate in the bulk crystal state and require higher activation energy to replace an interstitial atom and excite the bulk states.
Multi-trait genomic-enabled prediction enhances accuracy in multi-year wheat breeding trials
Authors: Montesinos-López Abelardo , Runcie Daniel E , Ibba Maria Itria , Pérez-Rodríguez Paulino , Montesinos-López Osval A , Crespo Leonardo A , Bentley Alison R , Crossa José 
Published: July 2021

Abstract
Implementing genomic-based prediction models in genomic selection requires an understanding of the measures for evaluating prediction accuracy from different models and methods using multi-trait data. In this study, we compared prediction accuracy using six large multi-trait wheat data sets (quality and grain yield). The data were used to predict 1 year (testing) from the previous year (training) to assess prediction accuracy using four different prediction models. The results indicated that the conventional Pearson’s correlation between observed and predicted values underestimated the true correlation value, whereas the corrected Pearson’s correlation calculated by fitting a bivariate model was higher than the division of the Pearson’s correlation by the squared root of the heritability across traits, by 2.53–11.46%. Across the datasets, the corrected Pearson’s correlation was higher than the uncorrected by 5.80–14.01%. Overall, we found that for grain yield the prediction performance was highest using a multi-trait compared to a single-trait model. The higher the absolute genetic correlation between traits the greater the benefits of multi-trait models for increasing the genomic-enabled prediction accuracy of traits.
The Italian Catholic Press and the Racial Laws (1938–1943)
Authors: Kertzer David I , Benedetti Roberto 
Published: July 2021

Abstract
Surprisingly little attention has been paid to the role of the Roman Catholic Church in encouraging popular acceptance of the Italian Fascist regime’s antisemitic campaign and its “racial laws” (effective from 1938 to 1943). Investigation of major Italian Catholic daily newspapers, the Fascist press, and Italian and French diplomatic archives reveals how the Church communicated its support for these racial laws by distinguishing unacceptable German racism from Church-sanctioned anti-Jewish measures.
Verification of analytical bacterial spectrum of QIAstat-Dx® GI V2 and Novodiag® Bacterial GE+ V2-0 diagnostic panels
Authors: Engberg Jørgen , Vejrum Laus Krems , Madsen Tina Vasehus , Nielsen Xiaohui Chen 
Published: July 2021

AbstractBackgroundImplementing multiplex PCR or syndromic panel-based testing platforms to detect microbial species that cause acute diarrhoea may guide patient management more effectively and efficiently.ObjectivesTo assess and compare the performance of two syndromic panel-based testing systems, QIAstat-Dx® Gastrointestinal Panel V2 (QGI) and the Novodiag® Bacterial GE+ V2-0 (NGE).MethodsThe QGI and NGE panels include 16 and 14 bacterial gastrointestinal pathogens, respectively. The performance of the panels was tested retrospectively using 141 positive clinical stool specimens, External Quality Assessment (EQA) panels and spiked faecal specimens.ResultsFor Campylobacter jejuni and coli (n = 20), Salmonella (n = 24), Shigella (n = 13), Yersinia enterocolitica (non-1A biotypes) (n = 8), Clostridioides difficile (n = 24) and Vibrio parahaemolyticus (n = 2), QGI correctly verified 19/20, 20/24, 13/13, 8/8, 23/24 and 2/2, whereas NGE correctly verified 20/20, 17/24, 13/13, 8/8, 14/24 and 1/2. Among diarrhoeagenic Escherichia coli (n = 29), QGI reported one Shiga toxin-producing E. coli (STEC) stx1a O26:H11 as STEC serotype O157:H7 and NGE failed on one enteropathogenic E. coli, one enteroaggregative E. coli and one STEC (stx2e). Y. enterocolitica biotype 1A (non-pathogenic) (n = 6) were all positive in QGI, but negative in NGE.ConclusionsBoth QGI and NGE testing panels can improve laboratory workflow and patient management by providing user-friendly platforms that can rapidly detect a number of targets with one specimen. QGI was significantly more sensitive in identifying C. difficile. Both methods had suboptimal detection of Salmonella and this needs to be examined further. The short hands-on time and turnaround time are of value for on-demand testing and use in a high-throughput setting.
Development and Validation of Four Spectrophotometric Methods for Assay of Rebamipide and its Impurity: Application to Tablet Dosage Form
Authors: Alqarni Mohammed A , Moatamed Radwa S , Naguib Ibrahim A , El Ghobashy Mohamed R , Farid Nehal F 
Published: July 2021

Abstract

Background
Rebamipide (REB) is quinolinone derivative compound, which is used for the treatment of stomach ulcers.

Objective
The development of four spectrophotometric methods for quantification of REB and its impurity and degradation product: the debenzoylated isomer of REB (DER).

Methods
Method A is ratio difference spectrophotometry where 254 and 291 nm were selected for REB and 320 and 355 nm were selected for DER, allowing spectral discrimination for both. Method B is derivative ratio spectrophotometry, where the peak amplitudes of the first derivative of ratio spectra at 261 and 350.2 nm for REB and DER, respectively, are determined. Method C is a second derivative approach, which allows quantification of both REB and DER at 337 and 340 nm, respectively. Method D is mean centering of ratio spectra, where electronic absorption spectra of REB and DER were recorded and divided by a suitable divisor from DER and REB, respectively, and then the mean center is represented by the ratio spectrum so obtained.

Results
The proposed methods are simple, selective, and sensitive in the quantification of REB and DER. These methods were validated according to International Conference on Harmonization guidelines. Statistical analyses performed on the findings from the suggested methods and those obtained from reported methods revealed high accuracy and good precision.

Conclusion
The developed and validated methods are useful for quality control assay in routine analyses.

Highlights
First derivative, second derivative, derivative ratio, and mean centering methods for quantification of REM and DER. These methods are useful for analysis of REB in pharmaceutical dosage form.
Live-cell imaging probes to track chromatin modification dynamics
Authors: Sato Yuko , Nakao Masaru , Kimura Hiroshi 
Published: July 2021

AbstractThe spatiotemporal organization of chromatin is regulated at different levels in the nucleus. Epigenetic modifications such as DNA methylation and histone modifications are involved in chromatin regulation and play fundamental roles in genome function. While the one-dimensional epigenomic landscape in many cell types has been revealed by chromatin immunoprecipitation and sequencing, the dynamic changes of chromatin modifications and their relevance to chromatin organization and genome function remain elusive. Live-cell probes to visualize chromatin and its modifications have become powerful tools to monitor dynamic chromatin regulation. Bulk chromatin can be visualized by both small fluorescent dyes and fluorescent proteins, and specific endogenous genomic loci have been detected by adapting genome-editing tools. To track chromatin modifications in living cells, various types of probes have been developed. Protein domains that bind weakly to specific modifications, such as chromodomains for histone methylation, can be repeated to create a tighter binding probe that can then be tagged with a fluorescent protein. It has also been demonstrated that antigen-binding fragments and single-chain variable fragments from modification-specific antibodies can serve as binding probes without disturbing cell division, development and differentiation. These modification-binding modules are used in modification sensors based on fluorescence/Förster resonance energy transfer to measure the intramolecular conformational changes triggered by modifications. Other probes can be created using a bivalent binding system, such as fluorescence complementation or luciferase chemiluminescence. Live-cell chromatin modification imaging using these probes will address dynamic chromatin regulation and will be useful for assaying and screening effective epigenome drugs in cells and organisms.