bluuebunny/crossref_metadata_2025_split huggingface dataset:
Adaptation from Conventional to Virtual Teaching Practices during COVID-19 Emergence: Perceptions of Multidisciplinary Teaching Faculty of Pakistan
Authors: Hani Ume , Ansari Asma Saher , Khan Shujah Adil , Moten Misbah Ashraf , Waseem Farzeen S. , Sultan Zohaib Khurshid 
Published: March 2022

Abstract
Objectives The perceptions maintained by the teaching profession have a plausible influence on the effectiveness of online teaching practices, but they have not been well comprehended in many institutions in Pakistan. This study is the first to demonstrate how different academic disciplines address the challenges and opportunities regarding online teaching during coronavirus disease 2019 (COVID-19) and whether there exists a strong correlation between respondents' attitudes and their field of discipline.
Materials and Methods A multi-centric cross-sectional survey was conducted online, and data gathered from the online survey were analyzed using SPSS version 16, demographic and categorical data were analyzed in frequencies and percentages. A relationship between the attitudes of teachers with their areas of discipline and a difference in response between genders and age groups were analyzed using a chi-square test.
Results The findings of our study provide valuable understandings that most of the higher education faculty felt positively (64.1%) regarding the online mode of teaching. However, their perceived attitudes have a significant influence on the nature of their academic discipline.
Conclusion These findings provide relevant suggestions to the core aspects of the use of the e-learning system during the COVID-19 pandemic to foster positive teaching experiences. The administrations and institutions can use it to identify the e-learning constraints within multiple fields of profession and help instructors generate quality materials that will reshape the framework of online education and preserve the practice of blended teaching even after the pandemic.
Management of Perineal Wounds Following Pelvic Surgery
Authors: Mori George A. , Tiernan Jim P. 
Published: March 2022

AbstractDespite advancements in understanding and technique, there remain significant challenges in the management of a complex perineal wound following pelvic surgery. Complications including wound sepsis, fistulation, persistent sinus, and herniation produce additional morbidity and health care costs. This article details the methods of optimizing patient and operative factors to mitigate this risk, alongside strategies to deal with sequelae of wound failure.
Air-coupled piezoelectric micromachined ultrasonic transducers for surface stain detection and imaging
Authors: Sun Sheng , Wang Jianyuan , Ning Yuan , Zhang Menglun 
Published: March 2022

This paper proposes an air-coupled piezoelectric micromachined ultrasonic transducer (PMUT) for detection and imaging of surface stains. A 508 kHz PMUT array is designed, fabricated, and characterized in terms of its electrical and acoustic properties, and it is used in a pulse echo validation test. Imaging of stains on metal blocks is successfully demonstrated. Compared with existing optical methods for stain detection, the proposed approach can work in a dark environment without color requirements. This work provides a new and promising route for the development of miniaturized stain detection systems.
Inhibitors of PARP: Number crunching and structure gazing
Authors: Rudolph Johannes , Jung Karen , Luger Karolin 
Published: March 2022

Significance

PARP is an important target in the treatment of cancers, particularly in patients with breast, ovarian, or prostate cancer that have compromised homologous recombination repair (i.e., BRCA
−/−
). This review about inhibitors of PARP (PARPi) is for readers interested in the development of next-generation drugs for the treatment of cancer, providing insights into structure–activity relationships, in vitro vs. in vivo potency, PARP trapping, and synthetic lethality.
“Please let me know”
Authors: Xia Detong , Ai Haiyang , Pae Hye K. 
Published: March 2022

Abstract
Lexical bundles are frequently recurring word sequences (e.g. as can be seen) that function as
building blocks of discourse. This corpus-based study examined the use of four-word lexical bundles in business emails written by
three groups of writers: intermediate business English learners, advanced business English learners, and working professionals.
The prominent structural and functional characteristics of lexical bundles expressed in business emails were identified and
compared across the three groups. The results showed that lexical bundles were related to the extent to which formality and
politeness were expressed in written business communications. The advanced business English learners and working professionals
used more structural and functional characteristics of lexical bundles that are characteristic of written conventions than did
intermediate business English learners. Both intermediate and advanced learner groups used functionally different lexical bundles
from those produced by the working professionals.
Leonide
Authors: Glaznieks Aivars , Frey Jennifer-Carmen , Stopfner Maria , Zanasi Lorenzo , Nicolas Lionel 
Published: March 2022

Abstract
This article presents the longitudinal trilingual corpus of young learners of Italian, German and English called
LEONIDE. The corpus consists of L1, L2 and L3 learner texts. L1 texts were written in two languages of schooling (i.e. Italian and
German), L2 texts in two languages learned as second languages (i.e. German and Italian), and L3 texts in an additional foreign
language (i.e. English). All texts were collected from a group of lower secondary school pupils from the multilingual Italian
province of South Tyrol whose development in all three languages was observed over a period of three years. Each text comes with
rich metadata as well as manual and automatic annotations.
The use of synonymous adjectives by learners of Finnish as a second language
Authors: Kekki Niina , Ivaska Ilmari 
Published: March 2022

AbstractIn this study, we applyGries and Deshors’s (2014)andDeshors and Gries’s (2016)MuPDAR(F) approach to explore the use of synonymous adjectivestärkeä(i.e. “important”) andkeskeinen(i.e. “central”) in academic native and advanced learner Finnish, linking the phenomenon with the general assumptions of usage-based cognitive linguistics. This method confidently modelled the differences between using near-synonyms in native data and distinguished between native-like and non-native-like uses in learner data. Crucially, it differentiated between the contexts in which one synonym was clearly favoured and those in which either one was acceptable, in accordance withGries and Deshors (2020). The results suggest that Finnish learners fairly coherently follow the tendencies of native speakers, but several variables differentiate their use of synonyms from the latter’s. We interpret the differences to reflect complexity- and prototypicality-related phenomena. On the one hand, learners use more common options more often. On the other, non-nativelike adjectives are used only in contexts that are structurally in the most prototypical and least complex form, suggesting that learners employ complexity-related structural alternations – e.g., non-prototypical grammatical subjects or degree modifiers – after lexical alternations.
Convergence patterns in the city of Seville
Authors: Santana Marrero Juana 
Published: March 2022

Abstract
Research carried out over the past few years in several Andalusian cities has revealed the processes of convergence towards conservative realisations that are occurring among the allophones of the phoneme /θs/. This time, using the Seville PRESEEA corpus, we have analysed the frequency of the seseante and dento-interdental pronunciation patterns that coexist in this city, and we have correlated them with linguistic, social, and individual parameters. Our data showed that this variation process was mainly influenced by closeness of [s] and [θ] in the immediate phonetic context, and by the educational attainment level, the age, and the sex of the respondents. The analysis per surveyed subjects indicated that most of them combined both variants.
Optimization of plotter printing for sub-terahertz metallic metasurfaces fabrication on ultra-thin substrate
Authors: Brulon Cyprien , Fix Baptiste , Salmon Arthur , Bouchon Patrick 
Published: March 2022

Abstract
Additive manufacturing processes have emerged as a promising way to conceive terahertz and millimetric components. In this work, we discuss a printing process for sub-terahertz metallic metasurfaces fabrication on ultra-thin substrates. We demonstrate the use of a plastic substrate with a micrometric thickness which makes this printing method a promising and low cost alternative to conventional optical lithography for the fabrication of flexible terahertz 2D metasurfaces. After detailing the key parameters and limitations, we applied the optimized process to fabricate samples composed of periodic arrays of split ring resonators on 50 µm thick fused silica and 3 µm thick PET substrates. The optical response in transmission of the metasurfaces shows expected resonances in the 100 GHz range and demonstrates the use of microplotter system for rapid prototyping of low-loss terahertz passive components on ultra-thin substrate.
Temperature measurements of long sparks in air using time-resolved moiré deflectometry
Authors: Cheng Chen , He Hengxin , Luo Bin , Liu Lipeng , Chen Weijiang , Bian Kai , Xiang Nianwen , Hu Jinyang 
Published: March 2022

Abstract
This paper presents an original investigation into time-resolved moiré deflectometry (MD) for gas temperature measurements of long sparks in air. In order to perform a rigorous comparative investigation with the widely used quantitative schlieren (QS) method, we set up an orthogonal optical measurement system. The impacts of spatial resolution and exposure time on the measurement accuracy are investigated by comparing the measured radial distribution of the gas temperature and its time evolution during the same spark discharge event. It is found that the time-resolved MD with an exposure time of 1.0 μs can accurately measure the gas temperature evolution during the isobaric heating and relaxation process of long sparks. The measured results of the expansion rate of cross-section

π
⋅

R

g

2

and average temperature T
g confirms that the energy loss is dominated by thermal conduction during the isobaric heating and relaxation process after the extinction of discharge current. The MD can achieve a finer spatial resolution than the QS method, which is beneficial to the reconstruction of steep radial temperature distribution and the suppression of measured temperature fluctuation. Moreover, the MD can obtain a sub-microsecond exposure time by increasing the power of continuous-wave laser source, which shows its potential to capture the rapid changes in gas temperature during the fast-heating process.
Cost-effective method for fabricating carbon nanotube network transistors by reusing a 99% semiconducting carbon nanotube solution
Authors: Jeon Ju Won , Lee Yongwoo , Park Geon-Hwi , Kim Dae Hwan , Kim Dong Myong , Kang Min-Ho , Choi Sung-Jin 
Published: March 2022

Abstract
Carbon nanotubes (CNTs) are one-dimensional materials that have been proposed to replace silicon semiconductors and have been actively studied due to their high carrier mobility, high current density, and high mechanical flexibility. Specifically, highly purified, pre-separated, and solution-processed semiconducting CNTs are suitable for mass production. These CNTs have advantages, such as room-temperature processing compatibility, while enabling a fast and straightforward manufacturing process. In this paper, CNT network transistors were fabricated on a total of five 8 inch wafers by reusing a highly purified and pre-separated 99% semiconductor-enriched CNT solution. The results confirmed that the density of semiconducting CNTs deposited on the five selected wafers was notably uniform, even though the CNT solution was reused up to four times after the initial CNT deposition. Moreover, there was no significant degradation in the key CNT network transistor metrics. Therefore, we believe that our findings regarding this CNT reuse method may provide additional guidance in the field of wafer-scale CNT electronics and may contribute strongly to the development of practical device applications at an ultralow cost.
Quasilinear Schrödinger equations involving singular potentials
Authors: Jing Yongtao , Liu Haidong , Liu Zhaoli 
Published: March 2022

Abstract
For the quasilinear Schrödinger equation

−
Δ
u
+
V

(

x

)

u
+

κ

2

Δ

(

u

2

)

u
=
h

(

u

)

,

u
∈

H

1

(

R

N

)

,

where N ⩾ 3, κ is a real parameter, V(x) = V(|x|) is a potential allowed to be singular at the origin and

h
:
R
→
R

is a nonlinearity satisfying conditions similar to those in the paper (1983 Arch. Ration. Mech. Anal.
82 347–375) by Berestycki and Lions, we establish the existence of infinitely many radial solutions for κ < 0 and the existence of more and more radial solutions as κ ↓ 0. In the case κ < 0, we allow h(u) = |u|
p−2
u for p in the whole range (2, 4N/(N − 2)) and this is in sharp contrast to most of the existing results which are only for p ∈ [4, 4N/(N − 2)). Moreover, our result in this case extends the result of Berestycki and Lions in the paper mentioned above to quasilinear equations with singular potentials. In the case κ ⩾ 0, our result extends and covers several related results in the literature, including the result of Berestycki and Lions.
Effects of linear and nonlinear dashpots forces on the dynamics of plants vibrating in a vegetation cover situation
Authors: Dozounhékpon H F , Koukpémèdji A A , Monwanou A V , Miwadinou C H , Hinvi L A , Chabi Orou J B 
Published: March 2022

Abstract
This paper considers the nonlinear dynamics of the oscillations of an individual plant forced by the fluctuating aerodynamic drag and significantly influenced by collisions with its close neighbors. In this study, a row of identical and flexible oscillators is considered. The flexible beams theory is used to model the equation of motion of an individual plant and then plant collisions were modelled as a simple spring, linear dashpot and nonlinear dashpot interactions between adjacent plants. The multiple scales method is used to obtain the amplitude of the plant relative to wind forcing in the resonant and nonresonant oscillations cases. Numerically, chaotic oscillations, hysteresis and coexistence of attractors have been found using the bifurcation diagram, the Lyapunov exponents and the phase portraits. The influences of both type of dashpot collisions on the dynamics behaviors of the plant have been analyzed.
Energy saving optimization scheduling of intelligent energy station based on beetle antennae searching-particle swarm optimization algorithm
Authors: Xu Yong , Zhang Lingqiao , Yang Huiwen , Lin Zhi , Yu Qian 
Published: March 2022

Abstract
New energy and distributed power generation system of smart energy station need to cooperate with energy storage device to carry out peak cutting and valley filling, so as to meet the requirements of grid connection. Rational distribution of power suppression tasks of batteries and other energy storage components will reduce the generation cost of smart energy stations, protect energy storage devices and prolong their life. In this paper, variational modal decomposition algorithm is used to decompose the difference between the original power and the target power and distribute it to each energy storage unit. In addition to considering the decomposition mode number of VMD algorithm, the size of the secondary penalty factor and the power boundary frequency of the energy storage system, the grid-connected target power is also taken as the quantity to be optimized, which further reduces the requirements on the maximum instantaneous power and capacity of the energy storage system. Simulation results show that the proposed method is effective.
Research on capacity configuration optimization of energy storage system participating in peak shaving
Authors: Zhang Fan , Mao Cui , Zhou Shan , Chen Yuping , Wang Yongli , Tian Hankui , Yuan Bo 
Published: March 2022

Abstract
The “carbon double” goal calls for a further increase in the proportion of installed renewable energy capacity in China. The need to further expand the share of installed renewable energy capacity in China is increasing the need for ancillary peaking of the grid. There is also an ever-increasing need for peaking. The configuration of the energy storage system is one of the effective ways to reduce the peak load of each unit and increase the receiving space for renewable energy. Taking wind power generation as an example, the optimization model of thermal energy storage system is studied, the charging and discharging control strategy of energy storage system is designed, the integrated load impact on the grid due to wind power generation variation is considered, and the optimal economics and wind power generation are sought to maximize the comprehensive benefits.
Operational optimization of integrated energy systems considering demand-side flexibility
Authors: Wang Yongli , Zhou Minhan , Wang Yanan , Cai Chengcong , Han Xu , Chen Xin , Zhao Kunpeng 
Published: March 2022

Abstract
In order to solve the operation optimization problem of integrated energy system considering the demand side, this paper takes the integrated energy system of industrial park as the research object and proposes an optimal scheduling model considering the comprehensive demand response. Algorithm analysis shows that RIES containing multiple energy storage devices fully consider the comprehensive demand side response.
Integrated Energy System Operation Optimization Based on Reinforcement Learning
Authors: Wang Yongli , Dong Huanran , Xu Miaomiao , Cai Chengcong , Yao Suhang , Ma Yang , Li Shuquan 
Published: March 2022

Abstract
Each subject in the integrated energy system has different interests and demands, and it is necessary to optimize the energy dispatching with the help of multi-subject game theory. In order to solve the above problems, this paper proposes a reinforcement learning-based multi-object operation optimization method for integrated energy systems. Firstly, a multi-subject integrated energy system model including energy suppliers, park service providers and users is constructed; secondly, a game search method based on reinforcement signals is proposed to improve the speed of multi-subject game solution; finally, a simulation is conducted with an integrated energy system as an example to verify the effectiveness and rapidity of the proposed method.
Small-signal Stability Analysis of Paralleled Converter System under Power Quality Control Strategy for Microgrid
Authors: Yan Heming , Lin Junjie , Lin Chang , Wang Yang 
Published: March 2022

Abstract
In order to enhance the output voltage stability of converter system under non-linear and unbalanced load conditions, the power quality control strategy based on fault-tolerant control architecture is adopted. By analyzing the principle of power quality control strategy, a mathematical model of parallel converter system is established. The mathematical model of the paralleled converter system is linearized at the steady-state operating point, and the corresponding small-signal mathematical model is established. The small-signal stability of the paralleled converter system under the power quality control strategy is analyzed. The results show that under the power quality control strategy, the output voltage stability of the converter system is improved, and the small interference stability of the parallel converter system is guaranteed.
Comparative investigation of nanoparticles effect for enhanced oil recovery - experimental and mechanistic study
Authors: Li Yuan , Zhou Fujian , Xu Hang , Yu Guolin , Yao Erdong , Zhang Liang , Li Bojun 
Published: March 2022

Abstract
Nanofluid flooding has become one of the advantageous enhanced oil recovery (EOR) techniques due to the transcendental property of nanoparticle. Nanoparticles with various morphology presents different effects and mechanisms of EOR. To provide some guidance on the selection of nanomaterials for flooding, 4 kinds of nanomaterials, including silicon dioxide (SiO2), magnesium oxide (MgO), graphene oxide (GO) and molybdenum disulfide (MoS2), are chosen to serve as research objects in the study. In lab, the morphology of four nanomaterials were systematically characterized by scanning electron microscope (SEM) tests. Moreover, nanofluid flooding experiments were further conducted to explore the relationship between the morphology of nanomaterials and EOR. Results show that the SiO2 was spherical structure, and the MgO was blocky structure, while the GO and MoS2 were both sheet structure. All the four nanomaterials have similar spatial dimensions. Flooding experiments revealed that MoS2 enable improves the oil recovery by approximately 11.53 %, and GO was followed with 10 %, twice as much as both SiO2 and MgO. From the results, it can be inferred that spherical materials only realize “point-to-surface” contact at multiphase interfaces, while sheet materials can achieve “surface-to-surface” contact with a higher interfacial activity. This paper is the first to focus morphology of nanomaterials on flooding, which contributes to the optimization of nanomaterials for high-efficiency oil displacement.
Information system of remote sensing data analysis
Authors: Bakhtina A V , Yuronen Y P , Yuronen E A 
Published: March 2022

Abstract
The information system is designed to solve the problems of analyzing remote sensing data and making decisions using non-parametric pattern recognition algorithms, the synthesis of which is based on kernel estimates of probability density. Initial information is compiled by training samples on the states of the investigated natural objects and their corresponding spectral data, which are presented in Microsoft Excel files. The application of the software provides the following functions: primary processing of remote sensing data to evaluate the main quantitative characteristics of the laws of distribution of random variables; testing of the hypothesis on distributions of multivariate random variables based on non-parametric pattern recognition algorithms; estimating the state of natural objects by spectral data; mapping of territories by state of natural objects based on spectral data of earth surface elements and their corresponding spatial coordinates. Results of the presented functional tasks are saved in the form of reports in graphic files and spreadsheets of Microsoft Excel. Software tools can be used in the study of various nature objects from remote sensing data.
Evaluating the mechanical properties using high beam energy electron energy loss spectroscopy
Authors: Yu Igumenov A , Dudarev A V 
Published: March 2022

Abstract
The electron energy loss spectra of Ge, Si, Cu, MgO, Al, Ni, C (Diamond) were analyzed. The possibility of mechanical parameters of various materials evaluating using bulk plasmon energy in electron energy loss spectra is shown. The bulk modulus of Ge, Si, Cu, MgO, Al, Ni, C (Diamond) is calculated. It is shown that bulk modulus logarithm has a linear correlation with the bulk plasmon energy.
Different approaches for SiO2 inelastic electron scattering cross section spectra dissolving
Authors: Yu Igumenov A , Andryushchenko T A 
Published: March 2022

Abstract
Inelastic electron scattering cross section spectra (Kλ-spectra) of SiO2 were dissolved into bulk-loss and surface-loss components using factor analysis and Tougaard functions approximation. Primary electron energy dependences of various components intensities were received. It was shown that joint using of factor analysis and Tougaard functions approximation allows receiving more reliable results in inelastic electron scattering cross section spectra studies.