bluuebunny/crossref_metadata_2025_split huggingface dataset:
Have newborn hearing screening programs been affected by the COVID-19 pandemic?
Authors: Iran Pour Mobarakeh Zahra , Mehrbakhsh Fatemeh , Amiri Mehran , Amiri Marzieh 
Published: September 2022

Introduction
Due to the vital importance of early diagnosis and intervention of congenital hearing loss, the aim of this study was to compare the rate of newborn hearing screening before and after the COVID-19 pandemic quarantine.

Materials and methods
In this study, the data related to 6144 newborns during two 18-month time periods before and after the onset of the COVID-19 pandemic quarantine, was analyzed.

Results
From all visited newborns, 3770 and 2374 referred to the centre before and after the COVID-19 pandemic quarantine, respectively. There were statistically significant differences in the results of screening and the referral rate of neonates before and after the pandemic (p = 0.00). The results showed that both the residents of urban and rural regions visited for newborn hearing screening less frequently after the onset of the pandemic, but no statistically significant difference was shown between the number of boys and girls before and after the pandemic (p = 0.72).

Conclusion
Our results help gain new insights regarding the impacts of disruptive events such as pandemics on the implementation of health screening programs. Boosting public knowledge by providing families with proper education appears to be helpful in preventing the negative effects of delayed implementation of health screening programs.
Vortex flow, a couple important theorems, and an introduction to distributions
Authors: Arenas-Gullo A , Martínez-Manzano F , Fernández-Nieves A 
Published: September 2022

Abstract
We study vortex flow and perform a number of textbook calculations to highlight inconsistencies between results when using familiar, and widely important, mathematical theorems; these include Stokes’ theorem and a theorem that often enables interchanging field notions like irrotational and conservative, and their connection to scalar potentials and their associated exact differentials. The purpose is to use the familiar setting of a fluid vortex to go beyond conventional functional analysis and introduce students to the theory of distributions. After briefly doing this, we revisit vortex flow using a distributional approach to show how all prior inconsistencies disappear, emphasizing the significance of distributions in physics.
A K-nearest neighbor indoor fingerprint location method based on coarse positioning circular domain and the highest similarity threshold
Authors: Li Xiaonian , Dai Zhicheng , He Lamei 
Published: September 2022

Abstract
There are two problems with traditional indoor fingerprint location methods. First, irrelevant fingerprints in a fingerprint database interfere with the matching phase, which leads to poor positioning accuracy and stability of positioning results, and second, there is a large amount of computational overhead in the matching phase. Therefore, this paper proposes a K-nearest neighbor indoor fingerprint location method based on coarse positioning circular domain and the highest similarity threshold. In this method, a circular domain is formed in a coarse positioning process to narrow the positioning range. It solves the problem of the interference of irrelevant fingerprints. At the same time, a fault-tolerant mechanism is introduced to adjust the circular domain dynamically to ensure that the coarse positioning circular domain contains high similarity reference points and improve the fault tolerance of the coarse positioning. This method consists of offline and online phases. In the offline phase, the values of the received signal strength from Bluetooth low energy are preprocessed using a Gaussian filter to construct a fingerprint database. In the online phase, irrelevant fingerprints are filtered out by using the coarse positioning method. The filtered fingerprints are then matched with a testing point by the K-nearest neighbor algorithm, and the weighted centroids of the nearest reference points are solved. Finally, the coordinate of the testing point is obtained. The experimental results show that this method can effectively improve indoor positioning accuracy when compared with the traditional K-nearest neighbor. The average positioning error of the proposed method is 0.844 m.
A wearable shear force transducer based on color spectrum analysis
Authors: McGeehan Michael , Hahn Michael , Karipott Salil , Ong Keat Ghee 
Published: September 2022

Abstract
The need for miniaturized shear force sensors is expanding, particularly for biomedical applications. Examples include measuring interfacial shear stresses between a human and an external device (e.g. footwear or a prosthesis). However, there are considerable challenges in designing a shear sensor for these applications due to the need for a small package, low power requirements, and resistance to interference from motion artifact and electromagnetic fields. This paper presents the design, fabrication, and characterization sensor that measures two-axis shear force by detecting displacement between a color panel and a red, green, and blue light-sensing photodiode. The sensor response to applied displacements and forces was characterized under benchtop testing conditions. We also present the design of a prototype wireless version of the sensor for integration into footwear. The sensor exhibited strong agreement with gold standard measurements for two-axis shear displacements (R
2 > 0.99, RMSE ⩽ 5.0 µm) and forces (R
2 > 0.99, RMSE ⩽ 0.94 N). This performance, along with the sensor’s scalability, miniaturized form, and low power requirements make it well-suited a variety of biomedical applications.
Enhancing the stability of environmental resistance of alloyed CdZnSeS@ZnS quantum dots by doping Ti ions into shell layer
Authors: Fang Fan , Liu Haochen , Wen Zuoliang , Liu Chenxi , Xu Bing , Zhang Zhikuan , Wang Kai , Ertugrul Mehmet , Lei Wei , Sun Xiao Wei 
Published: September 2022

Abstract
Colloidal quantum dots (QDs) are promising luminescent materials for display and lighting, but their stability has long been an issue. Here, we designed a passivation strategy of doping Ti ions into the shell of alloyed CdZnSeS@ZnS QDs. The results showed that Ti ions were successfully doped into the ZnS shell and the stability of QDs was improved. In the aging test, the Ti ions doped QDs maintained 51.4% of the initial performance after 90 h of aging, while the pristine QDs decreased to less than 25% of the initial value. In addition, we discuss the reasons why Ti ions doping improves the stability of QDs. Ti ions are found to form Ti–S bonds in the ZnS shell, which has high binding energy and strong oxidation resistance. Most importantly, since there is no external physical insulating coating, the optimized QDs can also be directly used in electroluminescent devices, showing great potential in electroluminescence applications.
Analysis of the plasma meniscus in a hydrogen electronegative plasma
Authors: Miyamoto Kenji , Hayashi Katuya , Hoshino Kazuo , Hatayama Akiyoshi 
Published: September 2022

Abstract
The emitting surface of an ion beam (plasma meniscus) in the vicinity of the extraction aperture is theoretically investigated. In the present study, the electrons, H+ ions and volume produced H− ions are contained in the electronegative plasma. By solving the one-dimensional Poisson equation, an analytical formula is obtained from the balance between the current reaching a wall and the space charge limited current of negatively charged particles. The analytical formula indicates that the distance, d
eff, between the plasma meniscus and the extraction grid includes the ratio of masses of the negative ions and electrons, which is different from that for a plasma containing electrons and single positive ions, and depends on the ratio of the negative ion density to the electron density, α. With increase in the value of α, the distance d
eff becomes shorter, and thus the penetration of the electric field for negative ion extraction into the source plasma becomes smaller. This tendency is confirmed by using a three-dimensional particle-in-cell simulation from the results of the contour map of the electrostatic potential near the plasma grid and the location of the plasma meniscus. The reasons why the distance d
eff becomes shorter with increase in the value of α are considered to be the larger space charge effect of the negative ions compared with that of the electrons and the decrease in the plasma potential.
Role of temperature on linearity and analog/RF performance merits of a negative capacitance FinFET
Authors: Jaisawal Rajeewa Kumar , Rathore Sunil , Gandhi Navneet , Kondekar Pravin N , Bagga Navjeet 
Published: September 2022

Abstract
Temperature plays a decisive role in semiconductor device performance and reliability analysis. The effect is more severe in a negative capacitance (NC) transistor, as the temperature modulates the ferroelectric polarization, implicitly included by the Landau coefficients (α, β, γ) in Technology Computer Aided Design (TCAD) simulations. In this paper, through TCAD simulations, the role of varying ambient temperature is investigated in the linearity and analog/radio-frequency (RF) merits of NC-FinFET. The varying temperature modulates the carrier mobility, the semiconductor bandgap, and the Landau parameter (α). We analyzed the analog/RF and linearity metrics, such as total gate capacitance (C
gg), transconductance (g
m), unity gain cut-off frequency (f
T), the transconductance-frequency product, gain-bandwidth product, higher-order transconductance (g
m2 and g
m3), voltage intercept points, third-order power intercept and intermodulation points, and 1 dB CP using well-calibrated TCAD models. Our analysis reveals that these parameters are strongly dependent on temperature and the NC span (defined by using S-curve) shrinks with the rise in temperature. Finally, a source follower and three-stage ring oscillator are designed to test the frequency compatibility of the AC simulation for varying temperatures.
Fabrication and performance analysis of high-performance cylindrical ionic polymer-metal composite actuators with various diameters
Authors: Yin Guoxiao , Yu Min , Tong Xiaojie , Wu Yuwei , Tian Chengbo , Li Yang 
Published: September 2022

Abstract
Ionic polymer-metal composites (IPMCs) are electroactive polymer actuators that have been used as artificial muscles and have broad application prospects. In order to further improve the actuation performance of cylindrical IPMCs, Nafion rods with different diameters were prepared by extrusion process, and cylindrical IPMCs with high-quality Pt electrode layers were prepared by electroless plating in this study. The electrochemical properties and actuation performance of cylindrical IPMCs with various diameters were investigated. The tests show that the prepared cylindrical IPMCs have excellent electromechanical properties. As diameter increases, the blocking force and counter back-relaxation ability both increase significantly. Furthermore, the IPMCs with diameter of 3.0 mm under a DC voltage exhibits a superior blocking force (323.9 mN) and excellent power density (up to 139.41 W m−3). Moreover, the thick cylindrical IPMC can lift objects 400 times its weight, demonstrating exceptional load capacity, which shows great prospect of realizing artificial muscles.
Entanglement and quantum teleportation under superposed gravitational fields
Authors: Li Yue , Zhang Baocheng , You Li 
Published: September 2022

Abstract
The influence of gravitational field on entanglement of bipartite states is investigated based on the recent idea of superposition states of gravitational field. Different from earlier considerations, we study the case where the gravitational field cannot be separated unitarily from the bipartite system in the final stage of the interaction. When the different gravitational field states are orthogonal, entanglement cannot be generated for an initial product state. If the different gravitational field states are non-orthogonal, entanglement can be generated and the amount of generated entanglement depends on an overlap parameter between different gravitational field states. The influence of gravitational field on the transfer of the state through quantum teleportation is also studied, which might lead to an observable effect since the quantum teleportation can be performed using macroscopic object.
High efficiency of self-assembly between exfoliated MXene and layered-double-hydroxide nanosheets in exploring high-performance oxygen evolution reaction electrocatalysts
Authors: Jin Xiaoyan , Piao Huiyan , Sun Yiyang , Choy Jin-Ho , Hwang Seong-Ju 
Published: September 2022

Abstract
High-performance oxygen electrocatalysts have attracted tremendous research attention because of their crucial roles in diverse renewable energy technologies such as metal–oxygen batteries, fuel cells, and water electrolyzers. In this study, a novel lattice manipulation strategy for the exploration of highly active electrocatalysts was established via self-assembly between exfoliated MXene and layered double hydroxide (LDH) nanosheets (NSs). Electrostatically-driven self-assembly between cationic Co–Fe-LDH and anionic MXene NSs yielded intimately-coupled Co–Fe-LDH–MXene nanohybrids with porous stacking structures and significant interfacial charge transfer. The self-assembled Co–Fe-LDH–MXene nanohybrid delivered excellent electrocatalyst functionality with a lowered overpotential of 252 mV at 10 mA cm−2 that is much better than those of the precursor Co–Fe-LDH and MXene NSs. The outstanding electrocatalytic activity of the self-assembled Co–Fe-LDH–MXene nanohybrid highlights a high efficacy of the self-assembly methodology in exploring high-performance electrocatalysts. In situ surface enhanced Raman scattering analysis during electrocatalysis found that the enhanced redox activity of metal cations achieved by intimate electronic coupling with ultrathin conductive MXene NSs mainly contributes to the improved performance of the Co–Fe-LDH–MXene nanohybrids for oxygen evolution reaction.
Influence of Mo+2 ion concentration on crystallization, microstructure, crystal imperfection and morphology of WO3 sprayed thin films
Authors: Al-Shomar S M , Akl Alaa Ahmed , Mansour Dorsaf , Hedhili Fekhra , Aslam Affia , Shaaban Esam R , Mahmoud Safwat A 
Published: September 2022

Abstract
Compositional dependence of microstructure and morphological properties of MoxW1−xO3 (0.2 ≥ x ≥ 0.0 at. %) thin films was studied. MoWO3 films were deposited by chemical spray pyrolysis technique on pre-heated glass substrates at 400 °C and the sedimentation rate was kept constant at 70 ml min−1 with the deposition time fixed at 10 min to keep the film thickness constant at about 650 ± 5 nm. The prepared thin films were studied using x-ray diffraction (XRD), field emission scanning electron microscopy (FESEM), and energy dispersive x-ray analysis (EDAX) techniques. The nature of the as-deposited films displayed by XRD showed beyond a reasonable doubt that they are amorphous. After thermal annealing at 500 °C for 2 h, all samples will be transferred to a polycrystalline having a triclinic structure. The microstructural parameters of the pure and doped samples were measured, using different methods and a comparison between them to determine the accuracy percentage of the measurement of these methods. The results also showed that the average crystallite size of the films decreased from 24 to 12 nm, on the contrary the internal microstrain increased from 23 × 10−3 to 30 × 10−3 with the addition of Mo element in WO3. Field emission scanning electron microscopy (FE-SEM) analysis also revealed that Mo dopant caused significant changes in the surface morphology of the films as well as an increase in particle size with increasing molybdenum concentration. The EDX results exhibited that the percentages of the isotropic elements MoxW1−xO3 agree well with those determined by atomic weight. In general, the results obtained in this study confirm that MoxW1−xO3 with these properties, is suitable for photovoltaic and optoelectronic applications.
X-ray vision of Cu(In,Ga)Se2: from the Ga/In ratio to solar-cell performance
Authors: Ossig C , Pyrlik N , Carron R , Fevola G , Patjens S , Strelow C , Flügge J , Kolditz A , Siebels J , Garrevoet J , Spiers K , Seyrich M , Brückner D , Hagemann J , Seiboth F , Schropp A , Falkenberg G , Mews A , Schroer C G , Kipp T , Stuckelberger M E 
Published: September 2022

Abstract
Cost efficiency and defect passivation are the two major challenges that thin-film solar cells have to overcome for economic competitiveness. For Cu(In,Ga)Se

2

solar cells, the first is addressed by an increase of the Ga/In ratio, which widens the bandgap favorably for tandem applications and reduces the requirement of costly, rare In. The second is addressed by heavy alkali post-deposition treatments. However, the maximum device efficiency is typically achieved with a comparably low Ga/In ratio, which is in contrast to the economic interest of a higher Ga/In ratio and makes it paramount to identify, understand and mitigate the sources of local underperformance in Ga-rich cells. In this work, we investigate a series of Cu(In,Ga)Se

2

cells with varying Ga/In concentration in the absorber, using multi-modal scanning x-ray microscopy. In particular, we analyze differences in chemical composition and electrical performance on the nanoscale, with a focus on the effect of Rb. We find that In-rich cells show, along with a greater overall performance, a more homogeneous distribution of the nanoscale performance compared to the Ga-rich cells. Our analysis on Rb suggests that this effect is due to a more effective passivation of structural defects in the absorbers, i.e. voids and grain boundaries. These results shine light on the causes of the superiority of Ga-poor/In-rich absorbers and substantiate the trend to higher defect density for Ga-rich absorbers.
Taper-tip double-layer grating antenna based on SiN-on-SOI with large scale-scanning range for LiDAR
Authors: Cheng Liwen , Zhang Jiarong , Chen Zhipeng , Liu Pengfei , Chen Haitao 
Published: September 2022

Abstract
In this article, with the objective of reducing the emission loss, enhancing the emission directionality and scale-scanning range, without increasing the complexity of the LIDAR system, a CMOS-compatible silicon nitride taper-tip double-layer auxiliary grating antenna is proposed and investigated systematically. Compared to conventional double layer grating, the directionality exceeds 72% for wavelengths from 1450 nm to 1600 nm, with a maximum directionality of 97.5% at 1550 nm. Therefore, the far-field divergence angle of 0.0081° × 0.03° and a large field of view of 108.45° × 23.43° can be achieved when the antenna aperture is 1.6 cm × 2.5 cm. These improvements come mainly from the increasing unidirectional emission performance of the phased array by adjusting the key structural parameters of the inverted taper-tip double-layer structure.
ANGPTL2 aggravates doxorubicin-induced cardiotoxicity via inhibiting DUSP1 pathway
Authors: Liu Cheng , Chen Qiuling , Liu Huadong 
Published: September 2022

ABSTRACTAngiopoietin-like protein 2 (ANGPTL2) plays versatile roles in various cardiovascular diseases. Its connection to doxorubicin (DOX)-related cardiomyopathy, however, remains elusive. To determine the role of ANGPTL2, an adeno-associated viral vector was used to overexpress ANGPTL2 in the murine heart 4 weeks before DOX treatment (15 mg/kg). Moreover, mice were injected with adenoviral vectors to knock down ANGPTL2 in the myocardium. Echocardiography and hemodynamics were used to determine the cardiac function. The effect of ANGPTL2 and its downstream target were elucidated by applying molecular and biochemical strategies. We found that ANGPTL2 expression was significantly increased in response to DOX stimulation. Moreover, cardiac-specific ANGPTL2 overexpression exacerbated DOX-related cardiac dysfunction, myocardial apoptosis, and oxidative stress. Mechanistically, ANGPTL2 aggravated DOX-induced cardiac injury via inhibiting the dual specificity phosphatase 1 (DUSP1) pathway and DUSP1 overexpression significantly impeded DOX-induced cardiomyopathy in ANGPTL2-overexpressed mice. Altogether, ANGPTL2 aggravated DOX-related cardiac injury by suppressing the DUSP1 pathway.
The sequence context in poly-alanine regions: structure, function and conservation
Authors: Mier Pablo , Elena-Real Carlos A , Cortés Juan , Bernadó Pau , Andrade-Navarro Miguel A 
Published: September 2022

AbstractMotivationPoly-alanine (polyA) regions are protein stretches mostly composed of alanines. Despite their abundance in eukaryotic proteomes and their association to nine inherited human diseases, the structural and functional roles exerted by polyA stretches remain poorly understood. In this work we study how the amino acid context in which polyA regions are settled in proteins influences their structure and function.ResultsWe identified glycine and proline as the most abundant amino acids within polyA and in the flanking regions of polyA tracts, in human proteins as well as in 17 additional eukaryotic species. Our analyses indicate that the non-structuring nature of these two amino acids influences the α-helical conformations predicted for polyA, suggesting a relevant role in reducing the inherent aggregation propensity of long polyA. Then, we show how polyA position in protein N-termini relates with their function as transit peptides. PolyA placed just after the initial methionine is often predicted as part of mitochondrial transit peptides, whereas when placed in downstream positions, polyA are part of signal peptides. A few examples from known structures suggest that short polyA can emerge by alanine substitutions in α-helices; but evolution by insertion is observed for longer polyA. Our results showcase the importance of studying the sequence context of homorepeats as a mechanism to shape their structure–function relationships.Availability and implementationThe datasets used and/or analyzed during the current study are available from the corresponding author onreasonable request.Supplementary informationSupplementary data are available at Bioinformatics online.
Accurate machine learning prediction of sexual orientation based on brain morphology and intrinsic functional connectivity
Authors: Clemens Benjamin , Lefort-Besnard Jeremy , Ritter Christoph , Smith Elke , Votinov Mikhail , Derntl Birgit , Habel Ute , Bzdok Danilo 
Published: September 2022

AbstractBackgroundSexual orientation in humans represents a multilevel construct that is grounded in both neurobiological and environmental factors.ObjectiveHere, we bring to bear a machine learning approach to predict sexual orientation from gray matter volumes (GMVs) or resting-state functional connectivity (RSFC) in a cohort of 45 heterosexual and 41 homosexual participants.Methods In both brain assessments, we used penalized logistic regression models and nonparametric permutation.Results We found an average accuracy of 62% (±6.72) for predicting sexual orientation based on GMV and an average predictive accuracy of 92% (±9.89) using RSFC. Regions in the precentral gyrus, precuneus and the prefrontal cortex were significantly informative for distinguishing heterosexual from homosexual participants in both the GMV and RSFC settings.Conclusions These results indicate that, aside from self-reports, RSFC offers neurobiological information valuable for highly accurate prediction of sexual orientation. We demonstrate for the first time that sexual orientation is reflected in specific patterns of RSFC, which enable personalized, brain-based predictions of this highly complex human trait. While these results are preliminary, our neurobiologically based prediction framework illustrates the great value and potential of RSFC for revealing biologically meaningful and generalizable predictive patterns in the human brain.