bluuebunny/crossref_metadata_2025_split huggingface dataset:
Advanced studies for probabilistic optimal power flow in active distribution networks: A scientometric review
Authors: Ullah Zia , Wang Shoarong , Wu Guoan , Hasanien Hany M. , Jabbar M. Waqas , Qazi Hasan Saeed , Tostado‐Véliz Marcos , Turky Rania A. , Elkadeem Mohamed R. 
Published: July 2022

AbstractIn the active distribution networks (ADNs), the emerging trend of high penetration of sustainable energy sources such as wind turbines, photovoltaics, and the forthcoming integration of energy storage devices and additional dynamic loads like plug‐in‐electric vehicles (PEVs) influences to change the nature of electric distribution networks. Consequently, it deteriorates power quality and reliability in terms of unacceptable voltage rise‐drop, harmonic distortion, voltage unbalance, and excessive power loss. In this context of transition into the active distribution network, the probabilistic optimal power flow (P‐OPF) in the ADN is considered an important tool that helps the distribution grid operators for defining the optimal settings of the system's control variables. However, the optimal solution of P‐OPF becomes highly complex while considering the multiple variables, time‐varying characteristics and operational uncertainties associated with sustainable resources, consumer behaviour and electricity market prices.This review aims at promoting the research and discussion of P‐OPF studies in the context of ADNs characteristics and challenges. First, we perform a data‐driven and visualized scientometric analysis of 1988 quality documents retrieved from the Scopus during the last ten years using VOSviewer software. Second, an in‐depth investigation of the recent and emerging techniques for solving the P‐OPF problem is presented. Third, a set of recommendations and highlights of future challenges for P‐OPF in ADNs are offered. The review findings showed high interest among the scientific community in sustainable energy source integration, given the recent rise in publications and citations. Also, there is still a lack of innovative optimization techniques that can adequately handle the current issues associated with P‐OPF and objectives with fair computational efficiency and accuracy. Finally, this paper offers a guide for P‐OPF researchers to navigate the recent studies considering the sustainable sources, spot the new research frontiers, and identify the most impactful countries and publishers.
Research on a prediction model for gas insulation performance based on Pareto optimisation
Authors: You Tianpeng , Dong Xuzhu , Zhou Wenjun , Zheng Yu , Lei Hongyu , Ren Shubo , Li Han , Hou Hua 
Published: July 2022

AbstractPredicting the insulation performance of SF6 substitute gases through gas molecular structures has been a popular topic worldwide. The difficulty is that the relationships between the molecular structure and the gas insulation strength, global warming potential and boiling temperature are not clear, and general linear methods cannot be used to effectively extract the key factors. Based on published molecular structure parameters, the grey correlation method is used to extract the factors that affect the gas dielectric strength, global warming potential and boiling temperature in a dynamic (non‐linear) approach. Further, to predict the dielectric strength, global warming potential and boiling temperature of gases, a linear regression method and the factors with high correlations are used as independent variables. Through the Pareto optimal solution, the dielectric strength is set as the target, the global warming potential and boiling temperature are set as the constraints, and the ranges of the molecular structure parameters of the SF6 substitute gas are obtained. This research study provides an important reference regarding the SF6 substitute gas analysis and provides a research foundation for the design and synthesis of new environmentally friendly gases used in power equipment.
Polarimetric SAR image classification using binary coding‐based polarimetric‐morphological features
Authors: Imani Maryam 
Published: July 2022

AbstractPolarimetric synthetic aperture radar (POLSAR) systems provide high resolution images containing polarimetric information. So, they have high capability in land cover classification. In this work, a binary coding‐based polarimetric‐morphological (BCPM) feature extraction is proposed for POLSAR image classification. At first, a set of polarimetric features is proposed. Then, a new morphological framework is introduced for contextual feature extraction from the POLSAR cube. The coherence matrix is composed from diagonal and non‐diagonal elements with different information. These elements are analysed separately in the proposed method. Moreover, the amplitude and phase components of the non‐diagonal elements are individually analysed using morphological filters by reconstruction. Finally, a binary coding‐based polarimetric‐spatial feature reduction, which uses the first order statistics, is proposed for feature transformation. The experiments on three real POLSAR images and a synthetic dataset show the superior performance of BCPM compared to several classification methods.
Synthesis of echogenic liposomes for sonoporation
Authors: Park DongHee , Jung Hyon Chel , Park Juhyun , Bae Seoku , Shin UnChul , Kim Suhng Wook , Kim Chul Woo , Lee Yong Heum , Seo Jongbum 
Published: July 2022

AbstractUltrasound contrast agents (UCAs), which are groups of engineered microbubbles, have been recently studied for drug delivery applications, since the cavitation of bubbles can increase the temporary permeability of nearby cells. However, the internal volume of UCAs is generally filled with gas, hence loading drug molecules into UCAs is limited. In this study, an echogenic liposome with a liquid and gas core is proposed as an alternative carrier of genetic material for ultrasound‐mediated drug delivery. The structure of the synthesized echogenic liposome was analysed via transmission electron microscopy and confocal microscopy with fluorescent labels. The protection of siRNA by the echogenic liposomes was also verified by exposure to RNase. The results indicate that at least 10% of the total siRNA used in the experiment was successfully protected by the proposed echogenic liposome. Additionally, the release of siRNA from the liposomes could be successfully achieved with 1 W/cm2 ultrasound sonication at 1 MHz; parameters low enough to be used in generic ultrasound therapeutic systems. Although further studies to clarify the responses to incident ultrasound fields and to quantitatively analyse the internal liquid volume for drug loading are required, the proposed echogenic liposome has great potential for ultrasound‐mediated gene delivery.
A temperature independent hybrid AWG device based on silica/pentafluorostyrene‐glycidylmethacrylate‐fluoroethylmethacrylate terpolymer overclad
Authors: Kang Dong‐Soo , Yang Soo‐Yeon , Park Jong‐Jin 
Published: July 2022

AbstractThe terpolymer (PFS–GMA–TFEMA) was prepared and coated on silica waveguide for polymeric optical overclad. In our study, athermal characteristics were realised by adjusting the coefficient of negative thermal expansion of the synthesised terpolymer overclad, and the positive thermo‐optic coefficient of the silica thin film. The measured values were −1.11 × 10–4 /K and 0.79 × 10–5 /K (dn/dT). The thermal properties according to the temperature change indicated that the wavelength had shifted by about 0.15 nm from 20 to 90°C, with little change over 50°C. When the temperature increased, the wavelength shift of the silica/terpolymer hybrid arrayed waveguide grating was −0.002 nm/°C, compared to the 0.01 nm/°C of silica arrayed waveguide grating. Terpolymer overclad arrayed waveguide grating showed a centre wavelength loss of 5.334 dB, loss uniformity of 0.864 dB, a polarisation dependent loss of 0.162 dB, and a non‐adjacent crosstalk of −31.67 dB.
Expertenaustausch zum Einsatz von kontinuierlichem Glukosemonitoring (CGM) im Diabetesmanagement: Eine aktuelle Bestandsaufnahme und Blick in die Zukunft
Authors: Thomas Andreas , Haak Thomas , Tombek Astrid , Kulzer Bernhard , Ehrmann Dominic , Kordonouri Olga , Kroeger Jens , Schubert-Olesen Oliver , Kolassa Ralf , Siegmund Thorsten , Haller Nicola , Heinemann Lutz 
Published: July 2022

ZusammenfassungCGM mit Darstellung der aktuellen Glukosewerte (rtCGM) ist aktuell einer der wichtigsten diagnostischen Optionen in der Diabetologie. Es ermöglicht eine umfangreiche und unmittelbare Unterstützung und Erleichterung des Diabetesmanagements, besonders wenn eine Insulintherapie angewendet wird. Weiterhin stellt rtCGM den notwendigen Systempartner für die Steuerung der automatisierten Insulinabgabe in AID-Systemen dar. In Verbindung mit Smart-Pens unterstützt ein rtCGM die korrekte Durchführung des Insulinmanagements und erinnert an Bolusinjektionen.RtCGM-Daten sind heute das Fundament des personalisierten Datenmanagements und Alltagscoachings und stellen die Basis der Digitalisierung und telemedizinischen Intervention dar. Die Möglichkeit der interoperablen Nutzung ist aus therapeutischer Sicht eine zentrale Eigenschaft eines rtCGMs und kann zur Erweiterung der Indikationen, unabhängig von Diabetestyp oder Therapieform führen. Dies könnte auch den vorübergehenden oder intermittierenden Einsatz bei Menschen mit Typ-2-Diabetes ohne Insulinbehandlung betreffen. Kürzlich veröffentlichte internationale Leitlinien, z.B. der Amerikanischen Gesellschaft für klinische Endokrinologie (AACE) fordern auf der Basis umfangreicher Evidenz, dass die Glukosemessung mit einem rtCGM für alle Menschen mit Diabetes nutzbar und verfügbar sein sollte. Bereits in der Phase gestörter Glukosetoleranz kann ein rtCGM-System als Alltagscoaching oder Biofeedback bei Einbettung in ein Gesamtbehandlungskonzept unterstützen, mit dem Ziel aktiver und fundierter Handlungen des Anwenders im Diabetesalltag.Die Vielfalt der Nutzungsoptionen und die immer schnelleren technischen Innovationszyklen von rtCGM-Systemen wurden mit Blick auf aktuelle Anforderungen und die notwendigen Strukturanpassungen des Gesundheitssystems von einer rtCGM-erfahrenen Expertengruppe diskutiert. Ziel war es, konkrete Lücken in der Versorgungsstruktur sowie potenzielle Handlungsfelder in der Diabetologie zu identifizierten und mögliche Indikationserweiterungen für den Einsatz von rtCGM darzustellen. Dieses, sowie die Erkenntnisse und Schlussfolgerungen der Diskussionen werden in diesem Artikel dargestellt.
Humour and sarcasm: expressions of global warming on Twitter
Authors: Eslen-Ziya Hande 
Published: July 2022

AbstractThe increasing popularity of Twitter as a medium for sharing and debating scientific information brings forth questions about the type of narratives emerging around environmental/climate change and global warming. This article maps the landscape of narratives of how Twitter is used to communicate about environmental issues in Turkey. It displays how these actors can play a crucial role in constructing and/or de-constructing such crisis. I show how Twitter users in Turkey, use such medium to strengthen their own and the public’s awareness on global warming or to deny all together create a counter narrative and how certain frames that promote scepticism about environmental change are broadly disseminated by using certain emotional context. The analyses of the 1295 tweets collected using a random week sample displayed users who are sceptical about the Turkish government taking a more active stance toward climate change whereas the users supporting the government in general where more preoccupied with hoax arguments that in return may compromise trust in scientific authorities. The analysis combines thematic analysis of tweets and coding. I conclude the paper by conversing the significance of studying Twitter as a communicative platform that provides rich information displaying the existing dynamics.
High-resolution CH stretch spectroscopy of jet-cooled cyclopentyl radical: First insights into equilibrium structure, out-of-plane puckering, and IVR dynamics
Authors: Kortyna Andrew , Reber Melanie A. R. , Nesbitt David J. 
Published: July 2022

First, high-resolution sub-Doppler infrared spectroscopic results for cyclopentyl radical (C5H9) are reported on the α-CH stretch fundamental with suppression of spectral congestion achieved by adiabatic cooling to Trot ≈ 19(4) K in a slit jet expansion. Surprisingly, cyclopentyl radical exhibits a rotationally assignable infrared spectrum, despite 3N − 6 = 36 vibrational modes and an upper vibrational state density (ρ ≈ 40–90 #/cm−1) in the critical regime (ρ ≈ 100 #/cm−1) necessary for onset of intramolecular vibrational relaxation (IVR) dynamics. Such high-resolution data for cyclopentyl radical permit detailed fits to a rigid-rotor asymmetric top Hamiltonian, initial structural information for ground and vibrationally excited states, and opportunities for detailed comparison with theoretical predictions. Specifically, high level ab initio calculations at the coupled-cluster singles, doubles, and perturbative triples (CCSD(T))/ANO0, 1 level are used to calculate an out-of-plane bending potential, which reveals a C2 symmetry double minimum 1D energy surface over a C2v transition state. The inversion barrier [Vbarrier ≈ 3.7(1) kcal/mol] is much larger than the effective moment of inertia for out-of-plane bending, resulting in localization of the cyclopentyl wavefunction near its C2 symmetry equilibrium geometry and tunneling splittings for the ground state too small (&lt;1 MHz) to be resolved under sub-Doppler slit jet conditions. The persistence of fully resolved high-resolution infrared spectroscopy for such large cyclic polyatomic radicals at high vibrational state densities suggests a “deceleration” of IVR for a cycloalkane ring topology, much as low frequency torsion/methyl rotation degrees of freedom have demonstrated a corresponding “acceleration” of IVR processes in linear hydrocarbons.
Pressure-annealed high-density amorphous ice made from vitrified water droplets: A systematic calorimetry study on water’s second glass transition
Authors: Bachler Johannes , Giebelmann Johannes , Amann-Winkel Katrin , Loerting Thomas 
Published: July 2022

In previous work, water’s second glass transition was investigated based on an amorphous sample made from crystalline ice [Amann-Winkel et al., Proc. Natl. Acad. Sci. U. S. A. 110, 17720 (2013)]. In the present work, we investigate water’s second glass transition based on the genuine glassy state of high-density water as prepared from micron-sized liquid water droplets, avoiding crystallinity at all stages. All the calorimetric features of water’s second glass transition observed in the previous work are also observed here on the genuine glassy samples. This suggests that the glass transition indeed thermodynamically links amorphous ices continuously with deeply supercooled water. We proceed to extend the earlier study by investigating the effect of preparation history on the calorimetric glass transition temperature. The best samples prepared here feature both a lower glass transition temperature Tg,2 and a higher polyamorphic transition temperature Tons, thereby extending the range of thermal stability in which the deeply supercooled liquid can be observed by about 4 K. Just before the polyamorphic transition, we observe a spike-like increase of heat capacity that we interpret in terms of nucleation of low-density water. Without this spike, the width of water’s second glass transition is 15 K, and the Δcp amounts to 3 ± 1 J K−1 mol−1, making the case for the high-density liquid being a strong liquid. We suggest that samples annealed at 1.9 GPa to 175 K and decompressed at 140 K to ≥0.10 GPa are free from such nuclei and represent the most ideal high-density amorphous glasses.
Recovery patterns, cross-linguistic transfer effects and modulating factors in the rehabilitation of bilingual
aphasia
Authors: Hu Mengmeng 
Published: July 2022

Abstract
This article firstly introduces an emerging field of bilingual aphasia and discusses the theoretical framework and
the significance of bilingual aphasia research. It then provides a review of existing research, focusing on recovery patterns,
cross-linguistic transfer effects, and modulating factors in the rehabilitation of bilingual aphasia. It concludes with
identification of areas for future research to advance knowledge in bilingual aphasia.
Analysis of unitarity in conformal quantum gravity
Authors: Kubo Jisuke , Kuntz Jeffrey 
Published: July 2022

Abstract
We perform a canonical quantization of Weyl’s conformal gravity by means of the covariant operator formalism and investigate the unitarity of the resulting quantum theory. After reducing the originally fourth-order theory to second-order in time derivatives via the introduction of an auxiliary tensor field, we identify the full Fock space of quantum states under a Becchi–Rouet–Stora–Tyutin (BRST) construction that includes Faddeev–Popov ghost fields corresponding to Weyl transformations. This second-order formulation allows the formal tools of operator-based quantum field theory to be applied to quadratic gravity for the first time. Using the Kugo–Ojima quartet mechanism, we identify the physical subspace of quantum states and find that the subspace containing the transverse spin-2 states comes equipped with an indefinite inner product metric and a one-particle Hamiltonian that possesses only a single eigenstate. We construct the Lehmann–Symanzik–Zimmermann (LSZ) reduction formula for the S-matrix in this spin-2 subspace and find that unitarity is violated in scattering events. The explicit way in which this violation occurs represents a new view on the ghost-problem in quadratic theories of quantum gravity.
Resistivity dependence on nanostructure formation in picosecond ablation of silicon and SERS-based sensing applications
Authors: Kumar Kanaka Ravi , Banerjee Dipanjan , Mangababu A , Prasad Goud R Sai , Pathak A P , Soma Venugopal Rao , Nageswara Rao S V S 
Published: July 2022

Abstract
We report on the influence of resistivity in picosecond (ps) laser ablation of silicon (Si) leading to the formation of diverse surface micro- and nanostructures. Subsequently, we investigated their potential in sensing applications based on the surface enhanced Raman scattering (SERS) technique. The varying resistivity (ρ
1: 1–10 Ω cm, ρ
2: 0.01–0.02 Ω cm, ρ
3: 0.001–0.005 Ω cm) Si wafers were subjected to cross patterned ps laser ablation in ambient air. Ladder-like microstructures embedded with numerous nano growths were formed on low resistivity Si (ρ
3) while similar micro- and nanostructures were observed on higher resistivity Si (ρ
2 < ρ
1). The structures were non-plasmonic and anti-reflecting in nature with an optical reflectance of <6% over a broad range of wavelengths (350–1200 nm). Non-plasmonic Si microstructures were subsequently transformed to plasmonic by means of deposition of a thin layer of gold (Au). Additionally, the effect of annealing on the evolution of nanostructures was also investigated. We employed these hybrid substrates for the trace detection of an explosive molecule, ammonium nitrate, and dye, malachite green. Our detailed SERS studies have demonstrated a superior enhancement in the trace detection of analytes for low resistivity Si substrate. However, the annealed hybrid substrates have demonstrated further improvement in the SERS signal (by at least one order of magnitude). These detailed SERS investigations provide us a proof of the sensitivity of different resistivity Si nano/microstructures.
Two-dimensional simulation of microsecond-timescale underwater electrical explosion of a copper wire
Authors: Shi Huantong , Li Tuan , Hu Yujia , Li Xingwen , Wu Jian , Chen Li , Qiu Aici 
Published: July 2022

Abstract
Underwater electrical wire explosion (UEWE) is an efficient source of underwater shock waves (SWs). In order to efficiently simulate the interaction between the UEWE SW and structures, a coupled model that includes the electric circuit, the exploding wire and the surrounding water is established based on user-subroutines provided by the commercial explicit dynamics software ANSYS AUTODYN. The modeling starts from room temperature by using the tabular wide-range metal equation of state (EOS) and conductivity data. Experimental validation is performed with copper wires exploded by a μs-timescale pulsed discharge. The numerical results show satisfactory consistency with experiments in terms of the current and voltage waveforms, the wire expansion trajectory, the evolution of SW front, the interaction between SW and electrodes and the SW pressure profiles. The main discrepancy lies in the SW amplitude that is ∼20% higher in the calculation and the possible reasons are discussed in detail. Based on this approach and with proper modifications to the metal EOS and conductivity data, the interaction between UEWE SWs and structures can be efficiently modeled in 2D and 3D for practical applications.
Cavity-mediated drag in double-layer graphene
Authors: Escudero F , Ardenghi J S 
Published: July 2022

Abstract
We study the frictional drag between two graphene layers placed inside a cavity. We show that the drag has two contributions: the well-known Coulomb drag, and a novel photon-mediated drag. The latter arises from a cavity-mediated interaction in which the backscattering is not suppressed and the screening is relatively weak. As a result, the photon-mediated drag resistivity in the Fermi-liquid regime acquires corrections to the usual quadratic temperature dependence, has a slow decay as the interlayer separation d increases, and depends on the carrier density n as

ρ
D

∼
1

/

n
2

. Thus, whereas for small d and n the Coulomb drag dominates, as these parameters increase the drag transitions to a purely photon-mediated drag. The onset of this transition depends on the electromagnetic field enhancement inside the cavity.
Prototype-guided bi-level adversarial domain adaptation network for intelligent fault diagnosis of rotating machinery under various working conditions
Authors: Kuang Jiachen , Xu Guanghua , Zhang Sicong , Han Chengcheng , Wu Qingqiang , Wei Fan 
Published: July 2022

AbstractRecently, deep learning (DL) models have proved to be effective in intelligent fault diagnosis of rotating machinery. However, due to diverse working conditions, the existence of domain shift is pervasive, which limits the popularization and application of traditional DL models. To address the above issue, an end-to-end prototype-guided bi-level adversarial domain adaptation (DA) network, which consists of a feature learner, health state classifier, source prototype learning module, domain-level discriminator and several class-level discriminators, is proposed for intelligent cross-domain fault diagnosis (CDFD). On the one hand, the feature learner and the domain-level discriminator compete with each other for a marginal-level DA. On the other hand, the feature learner and these class-level discriminators jointly play a minimax game for a conditional-level DA. Moreover, the prototypes learned by the prototype learning module are integrated into the bi-level adversarial DA, which facilitates the diagnostic knowledge transfer across domains. Extensive CDFD tasks on bearing and gearbox platforms are carried out for method validation. The results indicate that the proposed method is feasible and promising to promote intelligent fault diagnosis performance in engineering applications.