bluuebunny/crossref_metadata_2025_split huggingface dataset:
Chaotic control of the dynamical behavior of COVID-19 through the electromagnetic fields
Authors: Fathizadeh S , Behnia S , Nemati F , Salimi M , Borjkhani H 
Published: July 2022

Abstract
Investigating the dynamical behavior of a system is an effective method to predict and control its future behavior. Studying the dynamic behavior of a virus can prevent the pathogenicity of a virus and save human lives during the disease epidemic. If the transmission of information from the virus genome to the environment is locked, the pathogenicity of the virus stops. Information transmission can be checked via the investigation of the spin information transport. In the current study, we have characterized the dynamical behavior of the virus by studying the spin transport through its RNA chain to estimate the information transfer path in the system. A voltage generator with adjustable frequency as a control system has been designed using the control theory of chaotic systems. Our aim is disturbing and reduces the transmitted information from viruses to the environment. The external stimuli can propel the system to the locked information transfer situation. Applying an external field noise with a specific frequency range (200–500 GHz) controlled through the external controller system can destroy the information transmitted by the virus to the environment. Disturbance intensity as a control parameter adjusts the external field frequency to push the system to the chaotic behavior which will be able to lock the information transfer and then prevent the spread of the epidemic.
Impact of Se and Te addition on optical characteristics of ternary GeInSb chalcogenide films as promising materials for optoelectronic applications
Authors: El-Metwally E G , Atyia H E , Ismail A M 
Published: July 2022

Abstract
The present study investigates the linear and non-linear optical characteristics of non-crystalline quaternary Ge15In5Sb5Se75 (GIS-Se) and Ge15In5Sb5Te75 (GIS-Te) chalcogenide thin films. The amorphous nature of the studied compositions was confirmed by x-ray diffraction (XRD). The values of transformation temperatures determined by differential thermal analysis (DTA), such as glass transition

T

g

and crystallization

T

c

temperatures, are 524.3 and 639.6 K for GIS-Se and 503.6 and 542.0 K for GIS-Te. The calculated values of glass forming ability (

G
F
A

) and thermal stability (

H

) for GIS-Se are higher than those for GIS-Te. The transmittance

T

(
λ
)

and reflectance

R

(
λ
)

spectrophotometric measurements in the UV–vis. wavelength range (400–2500 nm) are used to estimate the index of refraction

n

and extinction coefficient

k
.

The obtained values of

n

and

k

are found to be thickness independent in the investigated range. Tauc’s extrapolation model was used to determine both Urbach tail (

E

U

) and optical band gap (

E

g

o
p
t

) energies. The values of (

E

U

) are 0.416, 0.526 eV and (

E

g

o
p
t

) are 1.83, 1.31 eV with indirect allowed transitions for GIS-Se and GIS-Te, respectively. The optical conductivity

σ

o
p
t

increased as photon energy (

h
ν

) increased, and it was enhanced in the presence of Te than Se addition. The analysis of the index of refraction (

n

) is used to evaluate the dispersion energy

E

d

,

the high frequency dielectric constant

ε

∞

,

the oscillator strength

S

0

,

the lattice dielectric constant

ε

L

,

the ratio

N
/

m

*

and the optical electronegativity

∅

o
p
t

,

which were found to be higher in GIS-Te than those in GIS-Se composition. The volume (

V
E
L
F

) and surface (

S
E
L
F

) energy loss functions were found to be increased with increasing (

h
ν

) and the presence of Te. Furthermore, the calculated values of nonlinear optical susceptibility

χ

(
3
)

and nonlinear index of refraction

n

2

for GIS-Se and GIS-Te are 0.195 × 10−12, 2.44 × 10−11 esu and 0.868 × 10−12, 10.19 × 10−11 esu, respectively. The detailed outcomes show that the studied film samples are suitable for various optical applications such as phase-change optical rewritable disks, optical sensors, optoelectronic devices and high-speed optical fibers.
A Wideband Microwave Holography Methodology for Reflector Surface Measurement of Large Radio Telescopes
Authors: Wang Zan , Kong De-Qing , Zhang Hong-Bo , Zhu Xin-Ying , Liu Ze-Xin , Liu Yu-Chen 
Published: July 2022

Abstract
Most reflector surface holographic measurements of a large radio telescope utilize a geostationary satellite as the signal source. The shortcoming is that those measurements could only be done at a limited elevation angle due to the satellite’s relatively stationary state. This paper proposed a new wideband microwave holographic measurement method based on radio sources to achieve full-elevation-angle measurement with small size reference antenna. In theoretical derivation, the time delay and phase change due to path length and device difference between the antenna under test and reference antenna are compensated first. Then the correct method of wideband holography effect, which is because of antenna pattern differing under different wavelengths when receiving a wideband signal, is presented. To verify the proposed methodology, a wideband microwave holographic measurement system is established, the data processing procedure is illustrated, and the reflector surface measurement experiments on a 40 m radio telescope at different elevation angles are conducted. The result shows that the primary reflector surface root-mean-square at around elevation angles of 28°, 44°, 49°, and 75° are respectively 0.213 mm, 0.170 mm, 0.188 mm, and 0.199 mm. It is basically consistent with the real data, indicating that the proposed wideband microwave holography methodology is feasible.
Economic optimization of acceptance interval in conformity assessment: 1. Process with no systematic effect
Authors: Shirono Katsuhiro , Tanaka Hideyuki , Koike Masayoshi 
Published: July 2022

Abstract
In inspections for conformity assessment, an acceptance interval smaller than the tolerance interval is often determined in order to reduce the risk of consumers obtaining non-conforming items in the market. The presence of non-conforming items in the market impairs the evaluation of items by customers and may have an impact on revenue by decreasing prices. However, setting too small an acceptance interval reduces the revenue from the process by decreasing the number of the items available in the market. We thus propose a method to determine the optimum acceptance interval in conformity assessment by means of maximization of the revenue from processes. For this purpose, we give a mathematical model for the price of an item and its cost in the production process. Through theoretical analysis and simulations, it is shown that a parameter in the price model is the key in the optimization. In this paper we report a method for processes where no systematic effect component of measurement uncertainty exists, and in part 2 of this series we will report an extended method in which systematic effects are taken into consideration.
A digital framework for realising the SI—a proposal for the metre
Authors: Lewis Andrew J , Yacoot Andrew , Milton Martin J T , Lancaster Andrew J 
Published: July 2022

Abstract
A current focus of the international metrology community is the digitalisation of documents, certificates and services in response to initiatives underway throughout industry and to the requirement to follow the principles of data being Findable, Accessible, Interoperable, and Reusable. We propose the key elements of a digital framework for the SI metre, at the point of realisation, showing how it may be implemented in practice. We give examples of direct benefits of this approach, which may be extended to other SI units.
Swimming in density-stratified fluid: study on a flapping foil
Authors: Kandel Prabal , Deng Jian 
Published: July 2022

Abstract
It is of interest to investigate how a swimming animal performs in a density-stratified fluid. This paper studies a simplified swimmer, a pitching NACA0015 airfoil, considering its locomotion in both homogeneous, or unstratified, and stratified fluid flows. A direct comparison is made between these two conditions through two-dimensional numerical simulations. Our numerical results show that the stratification modifies the dynamics of the pitching foil in both its wake structures and the drag force, or thrust, as well as its propulsive performance. We suggest that the effects of stratification on flapping performance or propulsive efficiency can be categorized according to the Froude number, or the level of stratification. First, in the range of high Froude numbers, notable modification of the flow structure can be observed, which however does not greatly affect the propulsive performance. Second, at a very low Froude number, i.e., Fr = 1, the propulsive efficiency drops markedly compared to its homogeneous counterpart, attributed to the pronounced internal waves induced by the strong stratification. Moreover, at a moderate Froude number Fr = 2, we find an increase in the propulsive efficiency, which can be explained by the unique variation in the wake structure. At A
D = 2.50, the propulsive efficiency peaks at Fr = 2, with its efficiency 18.3% higher than its homogeneous counterpart, exhibiting a favourable influence of the stratification on a swimmer.
Non-state climate governance, corporate leadership, and governance performance: evidence from the US electric utility sector
Authors: Ba Yuhao 
Published: July 2022

Abstract
COP26 highlighted near-term emissions reductions in addition to longer-term net-zero. At the same time, shifts in political landscapes around the world have furthered the salience of climate action led by non-state actors such as business interests, civil society and nonprofits, and local and regional communities. Despite the promise, performance of non-state climate action remains unclear and requires further empirical validation. The current study focuses on corporate entities and explores the potential effect of corporate leadership on climate governance (CG) performance. Our aim is to advance the literature on non-state CG by offering empirical evidence of the less-studied effectiveness of non-state CG leadership. Echoing previous research, our study identifies a contingent perspective on the effect of corporate leadership on CG performance. Specifically, through the context of utilities’ energy efficiency programming in the U.S. and a multilevel research design, we find suggestive evidence that when the moderating effect of citizens’ support is considered, corporate leadership could potentially positively affect CG performance. Additionally, we demonstrate that a CG system’s operational uncertainty can complicate the effect of corporate leadership on performance whereas a pro-environmental citizenry can enhance such effect.
miRNA induced 3D bioprinted-heterotypic osteochondral interface
Authors: Celik Nazmiye , Kim Myoung Hwan , Yeo Miji , Kamal Fadia , Hayes Daniel J , Ozbolat Ibrahim T 
Published: July 2022

Abstract
The engineering of osteochondral interfaces remains a challenge. MicroRNAs (miRs) have emerged as significant tools to regulate the differentiation and proliferation of osteogenic and chondrogenic formation in the human musculoskeletal system. Here, we describe a novel approach to osteochondral reconstruction based on the three-dimensional (3D) bioprinting of miR-transfected adipose-derived stem cell (ADSC) spheroids to produce a heterotypic interface that addresses the intrinsic limitations of the traditional approach to inducing zonal differentiation via the use of diffusible cytokines. We evaluated the delivery of miR-148b for osteogenic differentiation and the codelivery of miR-140 and miR-21 for the chondrogenic differentiation of ADSC spheroids. Our results demonstrated that miR-transfected ADSC spheroids exhibited upregulated expression of osteogenic and chondrogenic differentiation related gene and protein markers, and enhanced mineralization and cell proliferation compared to spheroids differentiated using a commercially-available differentiation medium. Upon confirmation of the osteogenic and chondrogenic potential of miR-transfected ADSC spheroids, using aspiration-assisted bioprinting, these spheroids were 3D bioprinted into a dual-layer heterotypic osteochondral interface with a stratified arrangement of distinct osteogenic and chondrogenic zones. The proposed approach holds great promise for the biofabrication of stratified tissues, not only for the osteochondral interfaces presented in this work, but also for other composite tissues and tissue interfaces, such as, but not limited to, the bone-tendon-muscle interface and craniofacial tissues.
Tribological behavior of cellulose nanostructured films
Authors: Fuenmayor Carmen , da Silva Dimas A , Klock Umberto , Lengowski Elaine C , de Andrade Alan S , Bonfatti Eraldo A , Trejo Jhonattan , Nuñez Yamid , Palma Oriana , de Cademartori Pedro Henrique G , de Muniz Graciela Ines B 
Published: July 2022

Abstract
This work aimed to study the tribological behavior of films composed of mixtures of nanofibrillated cellulose (NFC) and microcrystalline cellulose (MCC) at different concentrations. A micro-abrasive wear resistance analysis is presented as part of the tribological properties. Tribological behavior was observed against wear and tear in dry conditions. Mean surface roughness (Ra) was directly influenced by MCC concentrations in films, reaching values up to three times higher at concentrations of 30% MCC compared to films without MCC. The specific wear rate (k) of the films was inversely proportional to the MCC concentrations, observing that for low concentrations of MCC (5%), the wear reduction was only 7% for films without MCC. In concentrations of 10% MCC, the wear rate reduced by 52%, but in concentrations of 30% MCC, the reduction was up to 95%. The specific wear rate obtained was favorable and comparable to films of synectic origin. This shows that NFC/MCC composites may offer tribological advantages such as reinforcement coatings on different materials.
Climate change effects on understory plant phenology: implications for large herbivore forage availability
Authors: Brown Casey L , Coe Priscilla K , Clark Darren A , Wisdom Michael J , Rowland Mary M , Averett Joshua P , Johnson Bruce K 
Published: July 2022

Abstract
Consistent with a warming climate, the timing of key phenological phases (i.e. phenophases) for many plant species is shifting, but the direction and extent of these shifts remain unclear. For large herbivores such as ungulates, altered plant phenology can have important nutritional and demographic consequences. We used two multi-year datasets collected during 1992–1996 and 2015–2019 of understory plant phenology in semi-arid forested rangelands in northeastern Oregon, United States, to test whether the duration of phenophases for forage species has changed over time for three plant functional groups (forbs, graminoids, and shrubs). Duration of spring green-up was approximately 2 weeks shorter in the later years for forbs (19 ± 3.8 d) and graminoids (13.2 ± 2.8 d), and senescence was 3 weeks longer for graminoids (25.1 ± 5.1) and shrubs (22.0 ± 4.6). Average peak flowering date was 3.1 ± 0.2 d earlier per decade for understory forage species with approximately 1/3 of the species (35%) exhibiting earlier peak flowering dates over time. Variation in late-winter precipitation had the greatest effect on the duration of understory green-up, whereas variation in summer precipitation had a greater effect on duration of the senescent period. Collectively, these results indicate climate-related progression towards shorter periods of peak plant productivity, and earlier and longer periods of plant senescence, the combination of which substantially reduces the temporal window of forage available in growing forms most usable to herbivores. This work adds a needed component to the climate change literature, by describing links between shifting climate variables, multiple phases of understory plant phenology, and possible nutritional consequences for herbivores under a warming climate.
Continuous-Time Modeling of the Bidirectional Relationship Between Incidental Affect and Physical Activity
Authors: Ruissen Geralyn R , Beauchamp Mark R , Puterman Eli , Zumbo Bruno D , Rhodes Ryan E , Hives Benjamin A , Sharpe Brinkley M , Vega Julio , Low Carissa A , Wright Aidan G C 
Published: July 2022

Abstract

Background
Previous research suggests that there is a bidirectional relationship between incidental affect (i.e., how people feel in day-to-day life) and physical activity behavior. However, many inconsistencies exist in the body of work due to the lag interval between affect and physical activity measurements.

Purpose
Using a novel continuous-time analysis paradigm, we examined the temporal specificity underlying the dynamic relationship between positive and negative incidental affective states and moderate-to-vigorous physical activity (MVPA).

Methods
A community sample of adults (n = 126, Mage = 27.71, 51.6% Male) completed a 14-day ambulatory assessment protocol measuring momentary positive and negative incidental affect six times a day while wearing a physical activity monitor (Fitbit). Hierarchical Bayesian continuous-time structural equation modeling was used to elucidate the underlying dynamics of the relationship between incidental affective states and MVPA.

Results
Based on the continuous-time cross-effects, positive and negative incidental affect predicted subsequent MVPA. Furthermore, engaging in MVPA predicted subsequent positive and negative incidental affect. Incidental affective states had a greater relative influence on predicting subsequent MVPA compared to the reciprocal relationship. Analysis of the discrete-time coefficients suggests that cross-lagged effects increase as the time interval between measurements increase, peaking at about 8 h between measurement occasions before beginning to dissipate.

Conclusions
The results provide support for a recursive relationship between incidental affective states and MVPA, which is particularly strong at 7–9 hr time intervals. Future research designs should consider these medium-term dynamics, for both theory development and intervention.
Identification of Putative Causal Relationships Between Type 2 Diabetes and Blood-Based Biomarkers in East Asians by Mendelian Randomization
Authors: Zhang Haoyang , Xiu Xuehao , Yang Yuedong , Yang Yuanhao , Zhao Huiying 
Published: July 2022

Abstract
Observational studies have revealed phenotypic associations between type 2 diabetes (T2D) and many biomarkers. However, causality between these conditions in East Asians is unclear. We leveraged genome-wide association study (GWAS) summary statistics on T2D (n = 77,418 cases; n = 356,122 controls) from the Asian Genetic Epidemiology Network (sample recruited during 2001–2011) and GWAS summary statistics on 42 biomarkers (n = 12,303–143,658) from BioBank Japan (sample recruited during 2003–2008) to investigate causal relationships between T2D and biomarkers. Applications of Mendelian randomization approaches consistently revealed genetically instrumented associations of T2D with increased serum potassium levels (liability-scale β = 0.04–0.10; P = 6.41 × 10−17–9.85 × 10−5) and decreased serum chloride levels (liability-scale β = −0.16 to −0.06; P = 5.22 × 10−27–3.14 × 10−5), whereas these 2 biomarkers showed no causal effects on T2D. Heritability Estimation Using Summary Statistics (ρ-HESS) and summary-data–based Mendelian randomization highlighted 27 genomic regions and 3 genes (α-1,3-mannosyl-glycoprotein 2-β-N-acetylglucosaminyltransferase (MGAT1), transducing-like enhancer (TLE) family member 1, transcriptional corepressor (TLE1), and 3-hydroxy-3-methylglutaryl-coenzyme A reductase (HMGCR)) that interactively associated with the shared genetics underlying T2D and the 2 biomarkers. Thus, T2D may causally affect serum potassium and chloride levels among East Asians. In contrast, the relationships of potassium and chloride with T2D are not causal, suggesting the importance of monitoring electrolyte disorders for T2D patients.
Resolving single-cell copy number profiling for large datasets
Authors: Ruohan Wang , Yuwei Zhang , Mengbo Wang , Xikang Feng , Jianping Wang , Shuai Cheng Li 
Published: July 2022

AbstractThe advances of single-cell DNA sequencing (scDNA-seq) enable us to characterize the genetic heterogeneity of cancer cells. However, the high noise and low coverage of scDNA-seq impede the estimation of copy number variations (CNVs). In addition, existing tools suffer from intensive execution time and often fail on large datasets. Here, we propose SeCNV, an efficient method that leverages structural entropy, to profile the copy numbers. SeCNV adopts a local Gaussian kernel to construct a matrix, depth congruent map (DCM), capturing the similarities between any two bins along the genome. Then, SeCNV partitions the genome into segments by minimizing the structural entropy from the DCM. With the partition, SeCNV estimates the copy numbers within each segment for cells. We simulate nine datasets with various breakpoint distributions and amplitudes of noise to benchmark SeCNV. SeCNV achieves a robust performance, i.e. the F1-scores are higher than 0.95 for breakpoint detections, significantly outperforming state-of-the-art methods. SeCNV successfully processes large datasets (&gt;50 000 cells) within 4 min, while other tools fail to finish within the time limit, i.e. 120 h. We apply SeCNV to single-nucleus sequencing datasets from two breast cancer patients and acoustic cell tagmentation sequencing datasets from eight breast cancer patients. SeCNV successfully reproduces the distinct subclones and infers tumor heterogeneity. SeCNV is available at https://github.com/deepomicslab/SeCNV.
CovRadar: continuously tracking and filtering SARS-CoV-2 mutations for genomic surveillance
Authors: Wittig Alice , Miranda Fábio , Hölzer Martin , Altenburg Tom , Bartoszewicz Jakub M , Beyvers Sebastian , Dieckmann Marius A , Genske Ulrich , Giese Sven H , Nowicka Melania , Richard Hugues , Schiebenhoefer Henning , Schmachtenberg Anna-Juliane , Sieben Paul , Tang Ming , Tembrockhaus Julius , Renard Bernhard Y , Fuchs Stephan 
Published: July 2022

AbstractSummaryThe ongoing pandemic caused by SARS-CoV-2 emphasizes the importance of genomic surveillance to understand the evolution of the virus, to monitor the viral population, and plan epidemiological responses. Detailed analysis, easy visualization and intuitive filtering of the latest viral sequences are powerful for this purpose. We present CovRadar, a tool for genomic surveillance of the SARS-CoV-2 Spike protein. CovRadar consists of an analytical pipeline and a web application that enable the analysis and visualization of hundreds of thousand sequences. First, CovRadar extracts the regions of interest using local alignment, then builds a multiple sequence alignment, infers variants and consensus and finally presents the results in an interactive app, making accessing and reporting simple, flexible and fast.Availability and implementationCovRadar is freely accessible at https://covradar.net, its open-source code is available at https://gitlab.com/dacs-hpi/covradar.Supplementary informationSupplementary data are available at Bioinformatics online.