bluuebunny/crossref_metadata_2025_split huggingface dataset:
Theory and Evidence for Platelet Therapy of the Aging Face
Authors: Cole Arron M. , Sclafani Anthony P. 
Published: February 2021

AbstractPlatelet preparations are autologous blood concentrates with supraphysiologic concentrations of platelets with or without leukocytes used in various clinical applications including regenerative medicine, wound healing, and facial rejuvenation. Their use harnesses the important role of platelets and their secretory products in immunoregulation, wound healing, angiogenesis, and tissue remodeling. The use of platelet preparations has been long documented in orthopaedic surgery, maxillofacial surgery, and other fields, but over the years research has increased in their application to facial plastic surgical techniques. Here we review the various formulations of platelet rich concentrates, their applications to facial skin rejuvenation, wound healing, scar reduction, and tissue fill as documented in the literature since 2018.
Delta Neutrophil Index as a Diagnostic Marker of Neonatal Sepsis
Authors: Melekoglu Nuriye Asli , Yasar Seyma , Keskin Mehmet 
Published: February 2021

Abstract
Objective Sepsis diagnosis is challenging due to nonspecific symptomatology in newborns. Timely diagnosis is essential for reducing sepsis-related morbidity and mortality. This study was performed to determine the diagnostic value of the delta neutrophil index (DNI) for detection of neonatal sepsis and to compare its efficacy with other conventional markers.
Methods This study was conducted at a tertiary hospital in newborns with confirmed sepsis (n = 59), suspected sepsis (n = 46), and in age- and weight-matched controls (n = 49). DNI, white blood cell count, C-reactive protein (CRP) level, and platelet measurements were determined, and blood cultures were performed at the onset of symptoms.
Results The mean DNI was significantly higher in confirmed and clinical sepsis groups compared with the control group. (6.9 ± 9.3, 1.9 ± 2.1, and 0.4 ± 0.5, respectively, p < 0.001). ROC curve analysis also showed that the combination of DNI and CRP had the highest sensitivity (86%), specificity (100%), and positive predictive value (100%) for predicting neonatal sepsis. DNI values were significantly higher in nonsurvivors (p < 0.05).
Conclusion DNI could be used as a reliable diagnostic marker for neonatal sepsis, and high DNI could predict sepsis development and unfavorable outcomes. The diagnostic capability of DNI may be increased by assessing CRP measurements simultaneously.
You paid what!? Understanding price-related word-of-mouth and price perception among opinion leaders and innovators
Authors: Schneider Sebastian , Huber Frank 
Published: February 2021

AbstractAlthough prices are the most discussed topic in consumer conversations, research has mostly neglected the field of price-related word-of-mouth (WOM). The present study picks up this research gap by analyzing the effects of price-WOM valence and price change communicated by WOM on consumer price perception. While a WOM sender’s opinion is a stronger predictor of the recipient’s perceived price fairness, a price change communicated by WOM has a stronger effect on price expensiveness perceptions. Innovators are found to be more positive with their price fairness judgment compared to imitators, and opinion leaders are more prone to price-WOM than non-opinion leaders.
Cross-cultural models of mental hurt emotion
clusters
Authors: Lewandowska-Tomaszczyk Barbara , Wilson Paul 
Published: February 2021

Abstract
The main objective of this chapter is to
construct models of conceptualizations of mental hurt
emotional clusters in a cross-cultural perspective, taking British
English and Polish as the major areas of investigation. The
materials and sources of the data are the GRID instrument, the
online emotions sorting task and Polish and British English language
corpora, particularly their collocational language-specific
profiles. The concordances and collocations are generated from the
British National Corpus and the National Corpus of Polish as well as
monitor corpora of Polish and English. The analyses and discussion
of hurt Emotion Event scenarios in terms of some of their
cultural dimensions demonstrate a complex structure of hurt
and the occurrence of multiple cluster members in each language,
comprising derivatives of physical hurt and pain events, their
presuppositions, causes, effects and conditioning. As opposed to a
focus on single emotions, we posit a viewpoint that centers on
emotion clusters, covering – in the case of hurt – sadness,
frustration, anger, and others, as well as pride –
the main target of hurt.
Fear and insecurity in the politics of austerity
Authors: Autto Janne , Törrönen Jukka , Huysmans Jef 
Published: February 2021

ABSTRACT
This paper examines how fear and insecurity are deployed in disputes over austerity. Drawing on discussions on the cultures of fear and on the social and political process which weaves fear and insecurity into the fabric of society, we analyse how austerity was justified and opposed in the Finnish parliament in 2015. We bring out different renditions of fear in five registers of justification that were deployed in the dispute. The registers evoked fear with threats to national sovereignty, dangers to societal security, and threats of harm and vulnerability. In addition, the registers evoked fear by drawing rhetorical force from the welfare state identity and by intertwining fear with political trust. Even though the renditions of fear played an important role, our findings also speak against straightforward interpretation of the politics of austerity as an example of moving into a culture of fear and insecurity.
Confessions at the Supreme Court: Judicial Response to Solicitor General Error
Authors: Schoenherr Jessica A. , Waterbury Nicholas W. 
Published: February 2021

AbstractAs the chief litigator for the US government, the solicitor general plays a crucial role in the Supreme Court decision-making process. The justices and solicitor general share a mutually beneficial relationship that is reinforced by the solicitor general’s willingness to provide legal advice when asked. In this article, we examine whether and how this relationship changes when the solicitor general files a formal “confession of error.” Using data on confessions filed between the 1979 and 2014 terms, we find the justices are significantly less likely to support the solicitor general’s position at multiple stages of the Court’s decision-making process if the solicitor general confesses error in light of a policy change. This punishment is harshest when the solicitor general provides advice as an amicus curiae participant, but it is only temporary. These results provide new insight into the scope and limitations of benefits allotted to the Court’s “tenth justice.”
Gravitational lenses in arbitrary space-times
Authors: Fleury Pierre , Larena Julien , Uzan Jean-Philippe 
Published: February 2021

Abstract
The precision reached by current and forthcoming strong-lensing observations requires to accurately model various perturbations to the main deflector. Hitherto, theoretical models have been developed to account for either cosmological line-of-sight perturbations, or isolated secondary lenses via the multi-plane lensing framework. This article proposes a general formalism to describe multiple lenses within an arbitrary space-time background. The lens equation, and the expressions of the amplification and time delays, are rigorously derived in that framework. Our results may be applied to a wide range of set-ups, from strong lensing in anisotropic cosmologies, to line-of-sight perturbations beyond the tidal regime.
Interpretable, calibrated neural networks for analysis and understanding of inelastic neutron scattering data
Authors: Butler Keith T , Le Manh Duc , Thiyagalingam Jeyan , Perring Toby G 
Published: February 2021

Abstract
Deep neural networks (NNs) provide flexible frameworks for learning data representations and functions relating data to other properties and are often claimed to achieve ‘super-human’ performance in inferring relationships between input data and desired property. In the context of inelastic neutron scattering experiments, however, as in many other scientific scenarios, a number of issues arise: (i) scarcity of labelled experimental data, (ii) lack of uncertainty quantification on results, and (iii) lack of interpretability of the deep NNs. In this work we examine approaches to all three issues. We use simulated data to train a deep NN to distinguish between two possible magnetic exchange models of a half-doped manganite. We apply the recently developed deterministic uncertainty quantification method to provide error estimates for the classification, demonstrating in the process how important realistic representations of instrument resolution in the training data are for reliable estimates on experimental data. Finally we use class activation maps to determine which regions of the spectra are most important for the final classification result reached by the network.
Shock response and defect evolution of copper single crystals at room and elevated temperatures
Authors: Xiong Qi-Lin , Shimada Takahiro , Kitamura Takayuki , Li Zhenhuan 
Published: February 2021

Abstract
Shock compression behaviors of copper single crystals at room and elevated temperatures are investigated by molecular dynamics simulations. The results show that when increasing the initial temperature, the kinetic energy part of stress increases while the potential energy part of stress decreases; the shear strain and the density of defects decrease while the magnitude of temperature rise increases. To understand the effect of initial temperature on the shock response, the evolutions of dislocations under different initial temperatures are studied in detail. Finally, the effect of initial temperature on quasi-static compression behavior is also investigated and analyzed.
A broadband sound-absorbing panel based on the coiled coplanar absorber with multiple absorption peaks
Authors: Han Lei , Ji Hongli , Qiu Jinhao 
Published: February 2021

Abstract
We report an ultrathin sound-absorbing panel with a continuous sound absorption greater than 0.7 over a frequency bandwidth of about 600 Hz. The panel is constructed by several different individual absorbers, and each absorber is composed of a perforated plate and a coiled coplanar air chamber with an extended tube inserted at the end of it. The extended tube which is co-planarly coiled in a plane with the chamber divides the end of the chamber into three tubes. By designing the geometric parameters of the three tubes, an absorption coefficient spectrum of the individual absorber with three absorption peaks can be designed, and every absorption peak can be adjusted individually. As the research premise of the broadband sound-absorbing panel, the acoustic absorption coefficient of the individual absorber is first derived through the theoretical method, and the fundamental effects of the structural parameters on the absorption characteristics are also investigated. Besides, the physical absorption mechanism of the absorber is also revealed by numerical simulation. Therefore, by connecting several absorber units with reasonable structural parameters in parallel, a parallel absorbing panel with broadband absorption bandwidth can be designed. To verify the validity of the designed individual absorber and the broadband absorbing panel, samples have been designed and fabricated by 3D printing, and their acoustic characteristics are measured by experimental study.
Nano fibers of lead free perovskite Cesium Titanium Bromide (CsTiBr3) thin films by in-house deposition technique
Authors: Beegum K A Benazeera , Sasi Saranya , Mathew Alex , Asha A S , Reshmi R 
Published: February 2021

Abstract
A novel lead free nano fibers of Cesium Titanium Bromide (CsTiBr3) perovskite is synthesized on commercial glass substrate by a two stage deposition method for the first time. Cesium Bromide thin film prepared by vacuum evaporation by resistive heating is the substrate for deposition of Titanium Bromide (TiBr4) vapor by an in-house deposition arrangement. The duration of deposition of TiBr4 vapor on CsBr thin film plays a key role on the structural, compositional and morphological properties of CsTiBr3. The mechanism behind the formation of nano fibers of CsTiBr3 from polygonal grains of CsBr is discussed in detail. The grain boundary grooving of CsBr polygonal grains influences the evolution and dimension of CsTiBr3 nano fibers. The nano fiber structure and lead free nature makes this novel perovskite a promising candidate for sensors, nanolasers and for future nanoelectronics.
Sound velocity in dense stellar matter with strangeness and compact stars *
Authors: Xia Chengjun , Zhu Zhenyu , Zhou Xia , Li Ang 
Published: February 2021

Abstract
The phase state of dense matter in the intermediate density range (

1-10 times the nuclear saturation density) is both intriguing and unclear and can have important observable effects in the present gravitational wave era of neutron stars. As matter density increases in compact stars, the sound velocity is expected to approach the conformal limit (

) at high densities and should also fulfill the causality limit (

). However, its detailed behavior remains a prominent topic of debate. It was suggested that the sound velocity of dense matter could be an important indicator of a deconfinement phase transition, where a particular shape might be expected for its density dependence. In this work, we explore the general properties of the sound velocity and the adiabatic index of dense matter in hybrid stars as well as in neutron stars and quark stars. Various conditions are employed for the hadron-quark phase transition with varying interface tension. We find that the expected behavior of the sound velocity can also be achieved by the nonperturbative properties of the quark phase, in addition to a deconfinement phase transition. Moreover, it leads to a more compact star with a similar mass. We then propose a new class of quark star equation of states, which can be tested by future high-precision radius measurements of pulsar-like objects.
Mobility enhancement techniques for Ge and GeSn MOSFETs
Authors: Cheng Ran , Chen Zhuo , Yuan Sicong , Takenaka Mitsuru , Takagi Shinichi , Han Genquan , Zhang Rui 
Published: February 2021

Abstract
The performance enhancement of conventional Si MOSFETs through device scaling is becoming increasingly difficult. The application of high mobility channel materials is one of the most promising solutions to overcome the bottleneck. The Ge and GeSn channels attract a lot of interest as the alternative channel materials, not only because of the high carrier mobility but also the superior compatibility with typical Si CMOS technology. In this paper, the recent progress of high mobility Ge and GeSn MOSFETs has been investigated, providing feasible approaches to improve the performance of Ge and GeSn devices for future CMOS technologies.
The past and future of multi-gate field-effect transistors: Process challenges and reliability issues
Authors: Sun Ying , Yu Xiao , Zhang Rui , Chen Bing , Cheng Ran 
Published: February 2021

Abstract
This work reviews the state-of-the art multi-gate field-effect transistor (MuGFET) process technologies and compares the device performance and reliability characteristics of the MuGFETs with the planar Si CMOS devices. Owing to the 3D wrapped gate structure, MuGFETs can suppress the SCEs and improve the ON-current performance due to the volume inversion of the channel region. As the Si CMOS technology pioneers to sub-10 nm nodes, the process challenges in terms of lithography capability, process integration controversies, performance variability etc. were also discussed in this work. Due to the severe self-heating effect in the MuGFETs, the ballistic transport and reliability characteristics were investigated. Future alternatives for the current Si MuGFET technology were discussed at the end of the paper. More work needs to be done to realize novel high mobility channel MuGFETs with better performance and reliability.
Photoic crystal nanobeam cavity devices for on-chip integrated silicon photonics
Authors: Yang Daquan , Liu Xiao , Li Xiaogang , Duan Bing , Wang Aiqiang , Xiao Yunfeng 
Published: February 2021

Abstract
Integrated circuit (IC) industry has fully considered the fact that the Moore’s Law is slowing down or ending. Alternative solutions are highly and urgently desired to break the physical size limits in the More-than-Moore era. Integrated silicon photonics technology exhibits distinguished potential to achieve faster operation speed, less power dissipation, and lower cost in IC industry, because their COMS compatibility, fast response, and high monolithic integration capability. Particularly, compared with other on-chip resonators (e.g. microrings, 2D photonic crystal cavities) silicon-on-insulator (SOI)-based photonic crystal nanobeam cavity (PCNC) has emerged as a promising platform for on-chip integration, due to their attractive properties of ultra-high Q/V, ultra-compact footprints and convenient integration with silicon bus-waveguides. In this paper, we present a comprehensive review on recent progress of on-chip PCNC devices for lasing, modulation, switching/filting and label-free sensing, etc.
Towards electronic-photonic-converged thermo-optic feedback tuning
Authors: Tan Min , Ye Kaixuan , Ming Da , Wang Yuhang , Wang Zhicheng , Jin Li , Feng Junbo 
Published: February 2021

Abstract
As Moore’s law approaching its end, electronics is hitting its power, bandwidth, and capacity limits. Photonics is able to overcome the performance limits of electronics but lacks practical photonic register and flexible control. Combining electronics and photonics provides the best of both worlds and is widely regarded as an important post-Moore’s direction. For stability and dynamic operations considerations, feedback tuning of photonic devices is required. For silicon photonics, the thermo-optic effect is the most frequently used tuning mechanism due to the advantages of high efficiency and low loss. However, it brings new design requirements, creating new design challenges. Emerging applications, such as optical phased array, optical switches, and optical neural networks, employ a large number of photonic devices, making PCB tuning solutions no longer suitable. Electronic-photonic-converged solutions with compact footprints will play an important role in system scalability. In this paper, we present a unified model for thermo-optic feedback tuning that can be specialized to different applications, review its recent advances, and discuss its future trends.
A review of silicon-based wafer bonding processes, an approach to realize the monolithic integration of Si-CMOS and III–V-on-Si wafers
Authors: Bao Shuyu , Wang Yue , Lina Khaw , Zhang Li , Wang Bing , Sasangka Wardhana Aji , Lee Kenneth Eng Kian , Chua Soo Jin , Michel Jurgen , Fitzgerald Eugene , Tan Chuan Seng , Lee Kwang Hong 
Published: February 2021

Abstract
The heterogeneous integration of III–V devices with Si-CMOS on a common Si platform has shown great promise in the new generations of electrical and optical systems for novel applications, such as HEMT or LED with integrated control circuitry. For heterogeneous integration, direct wafer bonding (DWB) techniques can overcome the materials and thermal mismatch issues by directly bonding dissimilar materials systems and device structures together. In addition, DWB can perform at wafer-level, which eases the requirements for integration alignment and increases the scalability for volume production. In this paper, a brief review of the different bonding technologies is discussed. After that, three main DWB techniques of single-, double- and multi-bonding are presented with the demonstrations of various heterogeneous integration applications. Meanwhile, the integration challenges, such as micro-defects, surface roughness and bonding yield are discussed in detail.
Enhancement of refresh time in quasi-nonvolatile memory by the density of states engineering
Authors: Tang Zhaowu , Liu Chunsen , Zeng Senfeng , Huang Xiaohe , Liu Liwei , Li Jiayi , Jiang Yugang , Zhang David Wei , Zhou Peng 
Published: February 2021

Abstract
The recently reported quasi-nonvolatile memory based on semi-floating gate architecture has attracted extensive attention thanks to its potential to bridge the large gap between volatile and nonvolatile memory. However, the further extension of the refresh time in quasi-nonvolatile memory is limited by the charge leakage through the p–n junction. Here, based on the density of states engineered van der Waals heterostructures, the leakage of electrons from the floating gate to the channel is greatly suppressed. As a result, the refresh time is effectively extended to more than 100 s, which is the longest among all previously reported quasi-nonvolatile memories. This work provides a new idea to enhance the refresh time of quasi-nonvolatile memory by the density of states engineering and demonstrates great application potential for high-speed and low-power memory technology.
Position Estimation Using Trilateration based on ToA/RSS and AoA Measurement
Authors: Mosleh Mahmoud F , Zaiter Mohammed J , Hashim Ali H 
Published: February 2021

Abstract
With the increasing demand for recent lifestyle new achievements have been developed in various fields of science and technology, target localization is considered one of the most important subjects especially in indoor conditions since most of the social activities done in the indoor environment. The presence of large buildings such as hospitals, malls, schools and other facilities of modern life increases the need for accurate target positioning. In this paper, a proposed system included simple equipment on three transmitters and some computer packages are used to apply our experiment. The case study chosen in this work is simulated using Wireless InSite (WI) software to model the campus with its all building. Three transmitters (TXs) are installed in selected position while twenty receivers (RXs) are deployed randomly as a target to estimate their position utilizing Time of Arrival (ToA) and Received Signal Strength (RSS) to estimate distance then trilateration is applied to determine target position with Angle of Arrival (AoA). The achieved result is addressed using specific equations to estimate the target positions.
A New Algorithm for Extracting Textual Maximal Frequent Itemsets from Arabic Documents
Authors: hamid Zeyad , Khafaji Hussein K 
Published: February 2021

Abstract
In this paper, a new technique has been suggested for extracting textual maximal frequent itemsets named Maximal Itemset Miner Algorithm (MIMA). This algorithm begins search process through generating the best initial border in search space depending on minimum support of items in the first level that achieves the general minimum support determined by the user. Our approach for counting itemsets support combines the idea of vertical representation of the data with a queue data structure to store the itemsets. To reduce search space, the algorithm adopted several pruning conditions for each itemsets in the initial border. Experiments performed on standard textual CNN Arabic dataset and proposed method registers less execution time comparing with the Apriori algorithm when applying it on three different size datasets.