bluuebunny/crossref_metadata_2025 huggingface dataset:
Operation of a traction machine’s wheel mover with a locked asymmetrical balance bar
Authors: Zhulay Vladimir , Ustinov Yuriy , Tyunin Vitaliy , Shchienkо Aleksey
Published: July 2021

The problems of determining the parameters of a traction machine’s wheel mover with a locked asymmetrical balance bar operation, taking into account the kinematic mismatch arising from the redistribution of the vertical reactions at the driving wheels due to off-center pushing force, have been considered. An algorithm for calculating traction and braking forces, as well as drive wheels’ slippage and skid of an asymmetric balance bar based on their traction balance and the condition of equal actual speeds under a variable vertical load, have been presented. As a result of research it has been found that the greatest additional loads in the drive and tire wear of the wheel mover with a locked asymmetric balance bar will occur when it moves in transport mode on a support surface with high traction properties.
Determination of the types of road accidents at roundabouts
Authors: Rassokha Vladimir , Nikitin Nikolai , Savina Yulia
Published: July 2021

The main purpose of this study was to identify and analyze the prevailing types of accidents at roundabouts. The relationship was revealed between certain types of accidents, the place of their occurrence, and the configuration of the roundabout. The study analyzed 321 accidents at 19 ring intersections. Four predominant crash types were identified: rear-end collision, collision with vulnerable road users, side swipe collision, and entering circulate collision. The greatest number of accidents occurred at the weaving lane and at the entrances and exits of the roundabout. Dividing the ring intersections into separate sections to determine the location of the accident allows drawing conclusions on the nature of road traffic accidents and the impact of the roundabout design on safety.
Innovative transport technologies in Russia
Authors: Gubareva Lyudmila , Petrukhina Elena , Aleksakhin Aleksandr , Pianova Nataliya
Published: July 2021

Modern management of transport systems is characterized by the use of innovative automated and information systems. At the same time, digital technologies are being used to bring the transport system management model to a qualitatively new level. The use of such systems improves the development of vehicle management.
Drugs in Pregnancy and Lactation – Medications used in Swiss
Obstetrics
Authors: Schenkel Larissa , Simões-Wüst Ana Paula , Hösli Irene , von Mandach Ursula
Published: July 2021

Background In order to improve the safety of drugs in pregnancy and
lactation, it is imperative that data on clinical practice be collected and
validated.

Methods Data on routinely used medications were requested from 9 Swiss
perinatal centres (5 university hospitals for obstetrics and 4 non-university
centres). Furthermore, recommendations and guidelines from scientific societies
for the fields of application were sought.

Results Part II (lactation): For the lactation period, 48 different active
substances were each identified by at least 4 centres. The active constituents
most frequently cited by the centres were i. v. iron, lorazepam,
nifedipine and paracetamol. Only a few guidelines were found that explicitly
refer to the breastfeeding period. Therefore, fewer recommendations for use
during lactation could be found compared with during pregnancy.

Conclusion As with during pregnancy, the same active ingredients are
consistently used in Swiss perinatal centres for many different indications
during lactation. Most of these active ingredients are labelled with a warning
or are even considered to be contraindicated; their use is therefore mainly
off-label. Official authorisation for frequently or consistently used active
substances is urgently needed. With this study, a first important step towards
national harmonisation has been taken.
Suffrutines A and B Inhibit the Expression of Inflammatory Mediators in LPS-Induced RAW264.7 Cells by Suppressing the NF-κB Signaling Pathway
Authors: Chen Chun , Zhu Ze-Feng , Nie Wen-Xing , Zou Yong
Published: July 2021

Flueggea suffruticosa is a traditional Chinese medicine that has been commonly used for the treatment of inflammatory ailments, including rheumatism and lumbago. Suffrutines A and suffrutines B are a pair of novel E,E and Z,E isomeric indolizidine alkaloids isolated from the roots of F. suffruticosa. However, their anti-inflammatory activity has not been reported thus far. The aim of this study was to investigate the inhibitory effect of inflammatory mediators and possible mechanisms of suffrutines A and B in lipopolysaccharide-induced RAW264.7 cells. Results showed that suffrutines A and B could remarkably inhibit the production of nitric oxide, prostaglandin E2, interleukin-6, inducible nitric oxide synthase, and cyclooxygenase-2 in lipopolysaccharide-induced RAW264.7 cells. Further evaluation demonstrated that compared with suffrutines A, suffrutines B could more significantly inhibit the phosphorylation of IKKα/β, the
degradation of IκBα, and the nuclear translocation of the p65 and p52 subunits in the canonical and non-canonical nuclear factor-κB pathways. Therefore, suffrutines B exhibited more potent inhibitory activity on inflammatory mediators than suffrutines A.
Präklinische Therapie mit Blutprodukten – das Projekt „HeliBlut“
Authors: Rudolph Marcus , Sitzmann Nicole , Braun Joerg , Henkel Berthold , Reifferscheid Florian
Published: July 2021

Die schwere Hämorrhagie ist zu einem erheblichen Prozentsatz Grund für hohe Morbidität und Mortalität des Traumapatienten. Dieser Artikel beschreibt die Etablierung des präklinischen „HeliBlut“-Projekts bei der DRF Luftrettung. Hier wurde in einem richtlinienkonformen System die präklinische Transfusion von Erythrozytenkonzentraten und Plasma ermöglicht. Dies soll eine bessere Versorgung von Patienten mit vital bedrohlicher Blutung ermöglichen. In 21 Monaten wurden an den beteiligten 3 Stationen 24 Patienten transfundiert. Die Mehrzahl der Patienten erlitt ein stumpfes Trauma. Unter Transfusion konnte bei 58% eine Verbesserung der Hämodynamik erreicht werden. Neun Patienten befanden sich im traumatischen Herz-Kreislauf-Stillstand. Trotz prähospitaler Transfusion zeigte sich eine hohe Mortalität während der frühen innerklinischen Versorgung. Die präklinische Transfusion ist ein weiterer Schritt zur Verbesserung von blutenden Patienten in der Präklinik, sie ist
sicher und gemäß der gültigen Richtlinie Hämotherapie durchführbar.
Asian Blepharoplasty: The Indian Perspective
Authors: Handa Arjun , Marwah Shruti
Published: July 2021

The upper eyelid crease is an indentation at the level where fibers from the levator aponeurosis insert into the skin. Typically, Asian eyes are described as creaseless and puffy and the aim of blepharoplasty is to achieve an eyelid crease, without losing the ethnicity of the individual. We aim to describe the most commonly performed technique as well as the peculiar points to be kept in mind from the Indian perspective.
Transthoracic Vertebral Distraction and Stabilization in 10 Dogs with Congenital Thoracic Vertebral Malformations
Authors: Farré Mariné Alba , De Risio Luisa , Mascort Joan , Jiménez Peláez Manuel , López Marta , Stabile Fabio , Luján Feliu-Pascual Alejandro
Published: July 2021

Objective The aim of this study was to describe the surgical technique and outcomes of dogs with congenital thoracic vertebral body malformations (CTVBM) treated with unilateral vertebral distraction and stabilization with monocortical screws and polymethylmethacrylate (PMMA).

Study Design Medical records of 10 client-owned dogs with CTVBM were retrospectively searched for signalment, history, neurological examination, neurological grade based on the modified Frankel scale (MFS), diagnostic method, CTVBM location, Cobb's angle, and vertebral canal angle (VCA), surgical procedure, complications and long-term follow-up.

Results One dog suffered cardiac arrest 24 hours post-surgery and died. Median follow-up in nine dogs was 26.5 months (12–50 months). Cobb's angle improved from 33–83 to 10–46 degrees and the VCA ratio from 97–138 to 122–164 degrees. The MFS improved from 3 (n = 3)–4 (n = 7) to 4 (n = 2)–6 (n = 7). Seven dogs recovered full function. Nine dogs improved after surgery compared with preoperative status, recovering ambulation when lost or achieving normal neurological examination in seven cases. No complications were reported during the follow-up period (12–50 months).

Conclusion Unilateral transthoracic vertebral distraction and stabilization with monocortical screws and PMMA for treatment of compressive myelopathy due to CTVBM achieved long-term neurological improvement in 9 of 10 dogs.
Survey of Quaternary Neonatal Management of Posthemorrhagic Hydrocephalus
Authors: Cohen Susan , Mietzsch Ulrike , Coghill Carl , Dereddy Narendra , Ducis Katerina , El Ters Nathalie , Heuer Gregory G. , Sewell Elizabeth , Flibotte John ,   on behalf of the Children's Hospitals Neonatal Consortium (CHNC) Neurosurgery Focus Group
Published: July 2021

Objective This study aimed to determine clinical care practices for infants at risk for posthemorrhagic hydrocephalus (PHH) across level IV neonatal intensive care units (NICUs).

Study Design Cross-sectional survey that addressed center-specific surveillance, neurosurgical intervention, and follow-up practices within the Children's Hospitals Neonatal Consortium.

Results We had a 59% (20/34 sites) response rate, with 10 sites having at least two participants. Respondents included neonatologists (53%) and neurosurgeons (35%). Most participants stated having a standard guideline for PHH (79%). Despite this, 42% of respondents perceive inconsistencies in management. Eight same-center pairs of neonatologists and neurosurgeons were used to determine response agreement. Half of these pairs disagreed on nearly all aspects of care. The greatest agreement pertained to a willingness to adopt a consensus-based protocol.

Conclusion Practice variation in the management of infants at risk of PHH in level IV NICUs exists despite the perception that a common practice is available and used.

Key Points
Recent electroporation-based systems for intracellular molecule delivery
Authors: Dong Zaizai , Chang Lingqian
Published: July 2021

Intracellular delivery of functional molecules, such as DNA probes and plasmids, is an important method for investigating cellular mechanisms and changing cell fates in biomedicine. Among various delivery methods, recent years have seen the emergence of electroporation-based techniques that provide versatile platforms for molecule delivery, with high efficiency and controlled dosage. In this Review, we describe recent electroporation-based systems for intracellular molecule delivery. The principles of electroporation for cell membrane perforation and cargo delivery are briefly summarized. Focusing on various scenarios for the application of electroporation, we review electroporation devices that variously employ structures based on nanochannels, nanostraws, and flow-through microfluidic channels for in vitro intracellular molecule delivery. We also consider in vivo targeted therapies based on delivery of active molecules by electroporation according to the lesion locations. Finally, we discuss the current challenges facing electroporation-based techniques, as well as opportunities for their future development, which may lead to innovations in intracellular molecule delivery both for cellular analysis in the laboratory and treatment in the clinic.
Rock and roll: Incipient aeolian entrainment of coarse particles
Authors: Xiao-Hu Zhao , Valyrakis Manousos , Zhen Shan Li
Published: July 2021

Aeolian transport of coarse grains is an important topic, finding applications in nature (for infrastructure exposed to wind scour) as well as industry (e.g., considering pneumatic transport). Incipient particle entrainment due to turbulent winds refers to the wind conditions where aeolian transport initiates, and as such, it is at the core of such studies. The research presented herein focuses on identifying and quantifying the dynamical processes responsible for coarse particle entrainment. Specifically designed wind tunnel experiments are conducted for a range of wind conditions near the aeolian transport thresholds. A high-resolution laser distance sensor is employed to provide information for the displacement of an exposed particle ranging from small simple rocking motions to complete entrainments (rolling). Measurements of the exposed particle's angular displacements are acquired, which allow the probabilistic study of incipient motion. The variation of statistical parameters, such as the frequency of entrainments, duration of dislodgements, magnitude of displacements, and time between displacements, is studied for a range of increasing airflow rates. The main findings from these experiments suggest that rocking can be observed only up to a limit angular displacement (equal to 0.41π for the conditions tested herein), which defines the position beyond which the resistance force can be overcome by just the mean aerodynamic forcing. Following this experimental framework to establish aeolian thresholds for a wider range of environments may be useful for the identification of the wind conditions under which aeolian transport may start occurring.
Experimental observation of multi-functional plasma-metamaterial composite for manipulation of electromagnetic-wave propagation
Authors: Inami Chui , Kabe Yuki , Noyori Yota , Iwai Akinori , Bambina Alexandre , Miyagi Shigeyuki , Sakai Osamu
Published: July 2021

Although microwaves are widely used in our daily life, their propagations are left free with disordered absorption and scattering in most scenes, without any sophisticated controls of their paths. Microwave metamaterials have increased our regulation options in which cloaking is extensively studied, but their exploratory aspects so far are insufficient for multiple requests for wireless-communication availability in our daily life space. Here, we show our plasma-metamaterial composite device that becomes an absorber, a scatterer, or a flattener (including cloaking effects) by changing a narrow-range microwave frequency (2.6–3.1 GHz, in the middle of the S band). A radio frequency high-power input ranging to 400 W is used to generate plasma in vacant space in a metamaterial array, and this metamaterial creates a space with an abnormal permeability (μ) in which 0<μ<1, while the plasma works as a dynamic negative- or positive-permittivity (ε) medium with a spatial gradient. In this ε–μ parameter region, a state with negative ε is a significant source for absorbance, and scattering is dominant with a small positive value of ε. Among them, propagation flattening of microwaves mainly due to the cloaking condition takes place with the adequate set of μ and ε and suitable spatial gradient of refractive index. This microwave manipulation is experimentally verified by monitoring scattering energy of propagating microwaves.
Evolution of localized magnetic field perturbations and the nature of turbulent dynamo
Authors: Il'yn A. S. , Kopyev A. V. , Sirota V. A. , Zybin K. P.
Published: July 2021

Kinematic dynamo in incompressible isotropic turbulent flows with high magnetic Prandtl number is considered. The approach interpreting an arbitrary magnetic field distribution as a superposition of localized perturbations (blobs) is developed. We derive a general relation between stochastic properties of an isolated blob and a stochastically homogenous distribution of magnetic field advected by the same stochastic flow. This relation allows us to investigate the evolution of a localized blob at a late stage when its size exceeds the viscous scale. It is shown that in three-dimensional flows, the average magnetic field of the blob increases exponentially in the inertial range of turbulence, as opposed to the late-batchelor stage when it decreases. Our approach reveals the mechanism of dynamo generation in the inertial range both for blobs and homogenous contributions. It explains the absence of dynamo in the two-dimensional case and its efficiency in three dimensions. We propose a way to observe the mechanism in numerical simulations.
Transparent window 2D IR spectroscopy of proteins
Authors: Thielges Megan C.
Published: July 2021

Proteins are complex, heterogeneous macromolecules that exist as ensembles of interconverting states on a complex energy landscape. A complete, molecular-level understanding of their function requires experimental tools to characterize them with high spatial and temporal precision. Infrared (IR) spectroscopy has an inherently fast time scale that can capture all states and their dynamics with, in principle, bond-specific spatial resolution. Two-dimensional (2D) IR methods that provide richer information are becoming more routine but remain challenging to apply to proteins. Spectral congestion typically prevents selective investigation of native vibrations; however, the problem can be overcome by site-specific introduction of amino acid side chains that have vibrational groups with frequencies in the “transparent window” of protein spectra. This Perspective provides an overview of the history and recent progress in the development of transparent window 2D IR of proteins.
Ferroelectrics everywhere: Ferroelectricity in magnesium substituted zinc oxide thin films
Authors: Ferri Kevin , Bachu Saiphaneendra , Zhu Wanlin , Imperatore Mario , Hayden John , Alem Nasim , Giebink Noel , Trolier-McKinstry Susan , Maria Jon-Paul
Published: July 2021

We demonstrate ferroelectricity in Mg-substituted ZnO thin films with the wurtzite structure. Zn1−xMgxO films are grown by dual-cathode reactive magnetron sputtering on (111)-Pt // (0001)-Al2O3 substrates at temperatures ranging from 26 to 200 °C for compositions spanning from x = 0 to x = 0.37. X-ray diffraction indicates a decrease in the c-lattice parameter and an increase in the a-lattice parameter with increasing Mg content, resulting in a nearly constant c/a axial ratio of 1.595 over this composition range. Transmission electron microscopy studies show abrupt interfaces between Zn1−xMgxO films and the Pt electrode. When prepared at pO2 = 0.025, film surfaces are populated by abnormally oriented grains as measured by atomic force microscopy for Mg concentrations >29%. Raising pO2 to 0.25 eliminates the misoriented grains. Optical measurements show increasing bandgap values with increasing Mg content. When prepared on a 200 °C substrate, films display ferroelectric switching with remanent polarizations exceeding 100 μC cm−2 and coercive fields below 3 MV cm−1 when the Mg content is between ∼30% and ∼37%. Substrate temperature can be lowered to ambient conditions, and when doing so, capacitor stacks show only minor sacrifices to crystal orientation and nearly identical remanent polarization values; however, coercive fields drop below 2 MV/cm. Using ambient temperature deposition, we demonstrate ferroelectric capacitor stacks integrated directly with polymer substrate surfaces.
Multiple evidences of dynamic heterogeneity in hydrophobic deep eutectic solvents
Authors: Malik Akshay , Kashyap Hemant K.
Published: July 2021

Hydrophobic deep eutectic solvents (HDESs) have gained immense popularity because of their promising applications in extraction processes. Herein, we employ atomistic molecular dynamics simulations to unveil the dynamics of DL-menthol (DLM) based HDESs with hexanoic (C6), octanoic (C8), and decanoic (C10) acids as hydrogen bond donors. The particular focus is on understanding the nature of dynamics with changing acid tail length. For all three HDESs, two modes of hydrogen bond relaxations are observed. We observe longer hydrogen bond lifetimes of the inter-molecular hydrogen bonding interactions between the carbonyl oxygen of the acid and hydroxyl oxygen of menthol with hydroxyl hydrogen of both acids and menthol. We infer strong hydrogen bonding between them compared to that between hydroxyl oxygen of acids and hydroxyl hydrogens of menthol and acids, marked by a faster decay rate and shorter hydrogen bond lifetime. The translational dynamics of the species in the HDES becomes slower with increasing tail length of the organic acid. Slightly enhanced caging is also observed for the HDES with a longer tail length of the acids. The evidence of dynamic heterogeneity in the displacements of the component molecules is observed in all the HDESs. From the values of the α-relaxation time scale, we observe that the molecular displacements become random in a shorter time scale for DLM-C6. The analysis of the self-van Hove function reveals that the overall distance covered by DLM and acid molecules in the respective HDES is more than what is expected from ideal diffusion. As marked by the shorter time scale associated with hole filling, the diffusion of the oxygen atom of menthol and the carbonyl oxygen of acid from one site to the other is fastest for hexanoic acid containing HDES.
Correlative microscopy of single self-assembled nanorod dimers for refractometric sensing
Authors: Beuwer Michael A. , Zijlstra Peter
Published: July 2021

Single metallic particles and dimers of nanospheres have been used extensively for sensing, but dimers of particles provide attractive advantages because they exhibit multiple modes that can be tuned by the dimer geometry. Here, we employ correlative microscopy of single self-assembled dimers of gold nanorods to study their performance as refractometric sensors. The correlation between atomic force microscopy and single-particle white-light spectroscopy allows us to relate the measured sensitivity to numerical simulations taking into account the exact geometry of the construct. The sensitivity of the antibonding mode is in good agreement with simulations, whereas the bonding mode exhibits a reduced sensitivity related to the accessibility of the gap region between the particles. We find that the figure of merit is a trade-off between the resonance linewidth and its refractive index sensitivity, which depend in opposite ways on the interparticle angle. The presence of two narrow plasmon resonances in the visible to near-infrared wavelength regime makes nanorod dimers exciting candidates for multicolor and multiplexed sensing.
The seven deadly sins: When computing crystal nucleation rates, the devil is
in the details
Authors: Blow Katarina E. , Quigley David , Sosso Gabriele C.
Published: July 2021

The formation of crystals has proven to be one of the most challenging phase transformations to quantitatively model—let alone to actually understand—be it by means of the latest experimental technique or the full arsenal of enhanced sampling approaches at our disposal. One of the most crucial quantities involved with the crystallization process is the nucleation rate, a single elusive number that is supposed to quantify the average probability for a nucleus of critical size to occur within a certain volume and time span. A substantial amount of effort has been devoted to attempt a connection between the crystal nucleation rates computed by means of atomistic simulations and their experimentally measured counterparts. Sadly, this endeavor almost invariably fails to some extent, with the venerable classical nucleation theory typically blamed as the main culprit. Here, we review some of the recent advances in the field, focusing on a number of perhaps more subtle details that are sometimes overlooked when computing nucleation rates. We believe it is important for the community to be aware of the full impact of aspects, such as finite size effects and slow dynamics, that often introduce inconspicuous and yet non-negligible sources of uncertainty into our simulations. In fact, it is key to obtain robust and reproducible trends to be leveraged so as to shed new light on the kinetics of a process, that of crystal nucleation, which is involved into countless practical applications, from the formulation of pharmaceutical drugs to the manufacturing of nano-electronic devices.
Selfconsistent random phase approximation methods
Authors: Yu Jason M. , Nguyen Brian D. , Tsai Jeffrey , Hernandez Devin J. , Furche Filipp
Published: July 2021

This Perspective reviews recent efforts toward selfconsistent calculations of ground-state energies within the random phase approximation (RPA) in the (generalized) Kohn–Sham (KS) density functional theory context. Since the RPA correlation energy explicitly depends on the non-interacting KS potential, an additional condition to determine the energy as a functional of the density is necessary. This observation leads to the concept of functional selfconsistency (FSC), which requires that the KS density equals the interacting density defined as the functional derivative of the ground-state energy with respect to the external potential. While all existing selfconsistent RPA schemes violate FSC, the recent generalized KS semicanonical projected RPA (GKS-spRPA) method takes a step toward satisfying it. This leads to systematic improvements in densities, binding energy curves, reference state stability, and molecular properties compared to non-selfconsistent RPA as well as optimized effective potential RPA. GKS-spRPA orbital energies accurately approximate valence and core ionization potentials, and even electron affinities of non-valence bound anions. The computational cost and performance of GKS-spRPA are compared to those of related selfconsistent schemes, including GW and orbital optimization methods, and limitations are discussed. Large differences between KS and interacting densities observed in the absence of FSC and the well-rounded performance of GKS-spRPA suggest that the KS potential as a density functional should be defined via the FSC condition for explicitly potential-dependent density functionals.
Ultra-low lattice thermal conductivity and high thermoelectric efficiency of K3AuO
Authors: Zhong Qi , Dai Zhenhong , Wang Junping , Zhao Yinchang , Meng Sheng
Published: July 2021

Based on the combination of first-principles calculations and Boltzmann transport equation, we investigated the thermal transport properties of K3AuO and predicted a figure of merit ZT=2.01 at 700 K with p-type doping. Such a high thermoelectric efficiency can be attributed to the ultra-low lattice thermal conductivity with a value of 0.48 Wm−1 K−1 at 300 K, and detailed research shows that the low lattice thermal conductivity arises from the small phonon group velocity and high scattering rates; moreover, the figure of merit ZT of p-type doped K3AuO can be maintained at around 2 in a relatively wide carrier concentration of 5.5×1020–1.2×1021 cm−3, which demonstrates the stable thermoelectric properties of K3AuO.
Assessing the Applicability of the Geometric Counterpoise Correction in B2PLYP/Double-ζ Calculations for Thermochemistry, Kinetics, and Noncovalent Interactions
Authors: Mehta Nisha , Goerigk Lars
Published: July 2021

We present a proof-of-concept study of the suitability of Kruse and Grimme’s geometric counterpoise correction (gCP) for basis set superposition errors (BSSEs) in double-hybrid density functional calculations with a double-ζ basis set. The gCP approach only requires geometrical information as an input and no orbital/density information is needed. Therefore, this correction is practically free of any additional cost. gCP is trained against the Boys and Bernardi counterpoise correction across a set of 528 noncovalently bound dimers. We investigate the suitability of the approach for the B2PLYP/def2-SVP level of theory, and reveal error compensation effects—missing London dispersion and the BSSE—associated with B2PLYP/def2-SVP calculations, and present B2PLYP-gCP-D3(BJ)/def2-SVP with the reparametrised DFT-D3(BJ) and gCP corrections as a more balanced alternative. Benchmarking results on the S66x8 benchmark set for noncovalent interactions and the GMTKN55 database for main-group thermochemistry, kinetics, and noncovalent interactions show a statistical improvement of the B2PLYP-gCP-D3(BJ) scheme over plain B2PLYP and B2PLYP-D3(BJ). B2PLYP-D3(BJ) shows significant overestimation of interaction energies, barrier heights with larger deviations from the reference values, and wrong relative stabilities in conformers, all of which can be associated with BSSE. We find that the gCP-corrected method represents a significant improvement over B2PLYP-D3(BJ), particularly for intramolecular noncovalent interactions. These findings encourage future developments of efficient double-hybrid DFT strategies that can be applied when double-hybrid calculations with large basis sets are not feasible due to system size.
Translating the gay identity in audiovisual media
Authors: Pleguezuelos Antonio Jesús Martínez
Published: July 2021

In this study we analyse different linguistic elements in the TV series Will & Grace that
shape the gay identity of the main characters of the show. We will base the analysis on the inclusion of the cultural turn into
the field of audiovisual translation studies and on the technical time and space constraints that may emerge when conveying the
message in this type of texts. Therefore, we will focus on the treatment of cultural references associated to the LGBTQI community
that are shown on the series, as well as the linguistic variant of gayspeak and the comic elements included in the dialogues in
order to observe whether the information that viewers of the Spanish dubbed version receive regarding gay identity is the same
that is portrayed in the original version in English.
Robust identification of topological phase transition by self-supervised machine learning approach
Authors: Ho Chi-Ting , Wang Daw-Wei
Published: July 2021

We propose a systematic methodology to identify the topological phase transition through a self-supervised machine learning model, which is trained to correlate system parameters to the non-local observables in time-of-flight experiments of ultracold atoms. Different from the conventional supervised learning approach, where the predicted phase transition point is very sensitive to the training region and data labeling, our self-supervised learning approach identifies the phase transition point by the largest deviation of the predicted results from the known system parameters and by the highest confidence through a systematic shift of the training regions. We demonstrate the robust application of this approach results in various 1D and 2D exactly solvable models, using different input features (time-of-flight images, spatial correlation function or density–density correlation function). As a result, our self-supervised approach should be a very general and reliable method for many condensed matter or solid state systems to observe new states of matters solely based on experimental measurements, even without a priori knowledge of the phase transition models.
Cross correlation mediated by distant Majorana zero modes with no overlap
Authors: Qin Lupei , Feng Wei , Li Xin-Qi
Published: July 2021

Existing studies via shot noise calculation conclude that the cross correlation between the currents in the two leads connected by a pair of Majorana zero modes (MZMs) vanishes when their coupling energy ϵ
M → 0. Motivated by the intrinsic nature of nonlocality of the MZMs, we revisit this important problem and propose an experimental scheme to demonstrate the nonvanishing cross correlation even at the limit ϵ
M → 0. The proposed scheme employs the Andreev-process-associated branch circuit currents, which are theoretically obtained by applying a decomposition analysis for the total currents while are accessible directly in practical measurement. For different bias voltage setup, we find intriguing results of both negative and positive correlationsand carry out simple physical understanding using a quantum jump technique. Importantly, combining together with the evidence of the zero-bias-peak of conductance, the nonlocal cross correlation predicted in this work can help to confirm the existence of thenonlocalMZMs.
Modeling and dynamics of double Hindmarsh–Rose neuron with memristor-based magnetic coupling and time delay*
Authors: Qi Guoyuan , Wang Zimou
Published: July 2021

The firing of a neuron model is mainly affected by the following factors: the magnetic field, external forcing current, time delay, etc. In this paper, a new time-delayed electromagnetic field coupled dual Hindmarsh – Rose neuron network model is constructed. A magnetically controlled threshold memristor is improved to represent the self-connected and the coupled magnetic fields triggered by the dynamic change of neuronal membrane potential for the adjacent neurons. Numerical simulation confirms that the coupled magnetic field can activate resting neurons to generate rich firing patterns, such as spiking firings, bursting firings, and chaotic firings, and enable neurons to generate larger firing amplitudes. The study also found that the strength of magnetic coupling in the neural network also affects the number of peaks in thedischarge of bursting firing. Based on the existing medical treatment background of mental illness, the effects of time lag in the coupling process against neuron firing are studied. The results confirm that the neurons can respond well to external stimuli and coupled magnetic field with appropriate time delay, and keep periodic firing under a wide range of external forcing current.
Multi-band asymmetric transmissions based on bi-layer windmill-shaped metamaterial*
Authors: Wang Ying-Hua , Li Jie , Dong Zheng-Gao , Li Yan , Zhang Xu
Published: July 2021

This study proposes a bi-layer windmill-shaped metamaterial that consists of resonators, with similar shapes, on both sides of a dielectric substrate. In this study, the second layer is rotated clockwise around the substrate normal at 90° and thereafter flipped in the first layer. Due to the introduction of a windmill-like shape, the resonant structures result in new resonant modes and thus can achieve multi-band high-efficiency cross-polarization conversions and asymmetric transmissions (ATs) for a linearly polarized incident plane wave with a maximum asymmetric parameter of 0.72. Depending on the geometric parameters of our windmill-shaped structures, the AT effect scan be flexibly modulated in a broad multi-band from 160 THz to 400 THz, which has not been reported in previous studies. These outstanding AT effects provide potential applications in optical diodes, polarization control switches, and other nano-devices.
The investigation of DARC etch back in DRAM capacitor oxide mask opening
Authors: Hou Jianqiu , Hu Zengwen , Lai Kuowen , Sun Yule , Shao Bo , Wang Chunyang , Liu Xinran , Liu Karson
Published: July 2021

Opening the silicon oxide mask of a capacitor in dynamic random access memory is a critical process on a capacitive coupled plasma (CCP) etch tool. Three steps, dielectric anti-reflective coating (DARC) etch back, silicon oxide etch and strip, are contained. To acquire good performance, such as low leakage current and high capacitance, for further fabricating capacitors, we should firstly optimize DARC etch back. We developed some experiments, focusing on etch time and chemistry, to evaluate the profile of a silicon oxide mask, DARC remain and critical dimension. The result shows that etch back time should be controlled in the range from 50 to 60 s, based on the current equipment and condition. It will make B/T ratio higher than 70% meanwhile resolve the DARC remain issue. We also found that CH2F2 flow should be ~15 sccm to avoid reversed CD trend and keep inline CD.
Harsh Communication Environment Oriented Consortium Blockchain Construction on Edge for Internet of Things
Authors: Gan Bo , Wu Qiwu , Li Xiang , Zhou Yang
Published: July 2021

In recent years, the Internet of Things has developed rapidly, and users have gradually become more precise in their control of IoT devices. The use of mobile cloud services in IoT has become a new trend. However, its information security and traceability strategies are still to be studied. This article introduces the application of edge computing architecture in harsh communication environments, and analyzes its deployment requirements for consortium blockchain in combination with IoT application scenarios. The consortium blockchain framework for the harsh communication environment of IoT is proposed, and the overall structure, node deployment, consensus algorithm and security mechanism are introduced, the basic process is finally explained. It provides credible solutions for the information security, traceability, and sharing of IoT devices in harsh communication environments.
Design of Smart Home Control System of Internet of Things Based on STM32
Authors: Yang Fan , Wei Qi , Yang Fan
Published: July 2021

In order to further reduce the cost and power consumption of smart homes, and increase the control methods of smart homes, a smart home monitoring system based on STM32 single-chip microcomputer is designed. The system uses STM32F103C8T6 as the main control chip, which collects the data information of temperature, humidity, light intensity, PM2.5 and methane concentration sent by the sensor, supplemented by a WIFI module, and uses ESP8266WIFI communication technology to transmit the data to the platform. The system test results show that when the room temperature exceeds 26 degrees, the refrigeration relay module works. When the PM2.5 concentration exceeds 150μg/m3, the fan turns on. When the methane concentration in the natural gas exceeds 1600 ppm, the buzzer alarms and the curtain relay works. System users can monitor and display home measurement data through OLED screens, Qt interface, mobile apps, and monitor and display home measurement data. Users can remotely monitor home conditions through the mobile client APP, and realize functions such as home temperature control, environmental detection, and curtain control.
Vertical software controllable system design for grid service operation process
Authors: Jinbo Zhang , Wuqiang Shen , Guiquan Shen
Published: July 2021

The traditional software control system with partition management is applied to the grid service operation process with more complex data structure, which will lead to slow system response due to high concurrency pressure. In view of the above problems, a vertical software controllable system is designed for the grid service operation process. After designing the hardware part of the two systems, grid server management board and communication module, the system software is designed. In the system software part, the grid service operation functional components are designed to realize the modular management of the service operation. The real-time and relational database of the system is designed, and the keyword query algorithm is used to realize the business item query to realize the system functions. The simulation experiment results show that the response time of the controllable system is all below 2000ms, which meets the demand of grid service operation, and the system has good concurrency resistance.
A Topology Identification Monitoring Terminal Based on the Pulse Current Characteristic Analysis
Authors: Huizhu Xian , Jiwei Li , Weiqiong Song , Cheng Zhao , Heng Liu , Haofei Mao , Qiang Wang
Published: July 2021

The low-voltage distribution network field wiring is very complicated and there are many changes in the relationship between households and changes, which brings great difficulties to the topology identification and line loss management of the transformer area. Aiming at the problems of low-voltage distribution areas physical topology recognition method based on distorted current signal and big data analysis in safety, recognition accuracy, and recognition efficiency, a method for recognizing the physical topology of the low-voltage distribution area based on pulse current characteristics fusion analysis was proposed. The Hilbert-Huang transform method was used to extract the characteristics of the current signal. The Space-time characteristic of charge method based on edge computing was used to realize the verification of low-voltage distribution area topology results. HPLC communication technology and measurement technology were combined to develop a low-voltage distribution area topology recognition monitoring terminal. The monitoring terminal was installed at the key nodes of the low-voltage distribution area such as low-voltage outlet cabinets, branch boxes and meter boxes. The monitoring terminal receives the topology recognition command of concentrator and main distribution area through the HPLC communication channel, uploads the topology recognition results, draws physical topology map of low-voltage distribution area in the main distribution area, and realizes the hierarchical measurement of low-voltage distribution area by the measurement function. The pilot operation of the on-site high-quality distribution area has proven that the monitoring terminal using the low-voltage distribution area physical topology recognition method based on the pulse current feature fusion analysis can map the low-voltage distribution area physical topology safely, quickly and accurately. Furthermore, it can provide strong support for the fine management of the low-voltage distribution area.
Station-grid Co-planning of Integrated Energy System with Consideration of Multi-energy storage and Reliability Cost
Authors: Liu Rui , Feng Liang , Zheng Zhijie , Liu Dong , Wang Xian , Meng Zihan
Published: July 2021

In order to improve the reliability of integrated energy system, the station-grid co-planning model and its solution method are proposed. The planning model considers the constraints of distribution network, gas distribution network, heat distribution network and energy station, and aims at minimizing the total planning cost within the planning period including investment cost, maintenance cost and reliability cost. It realizes the optimal planning for the types and locations of energy supply sources, distribution pipelines, energy stations and energy storage devices, such as electricity storage devices, gas storage devices, heat storage devices and cooling storage devices. The model is a mixed integer quadratic programming problem, which is solved by Gurobi. The case study uses the modified electricity-gas-heat integrated energy system to analyse the system planning scheme and planning cost under two scenarios. The results show that the proposed model can reasonably plan the integrated energy system and further improve the reliability of the integrated energy system.
SecuriFi: Highly Robust Person Intrusion Sensing and Localization System Based on Wi-Fi Signals
Authors: Zhang Daiyang , Hao Zhanjun , Dang Xiaochao , Liu Gaoyuan
Published: July 2021

Home safety has always been a major concern for every family member. How to quickly sense intrusions while keeping costs low and provide users and police with accurate information about the intruder after sensing the intrusion has become an important challenge for every home security system. So we propose SecuriFi, a highly robust indoor person intrusion sensing and localization system based on Wi-Fi signals. SecuriFi uses Channel State Information (CSI) extracted from Wi-Fi signals as a medium for sensing intrusion and locating people, ensuring high system performance while effectively reducing costs. SecuriFi consists of two modules: intrusion sensing and localization. The intrusion sensing module senses the intrusion behavior by judging the change of signal energy. The localization module effectively removes the environmental noise by constructing a combined filter, and then uses an Extreme Learning Machine (ELM) as a classifier to process and form an offline fingerprint database, which maps the CSI data to the human location. In this paper, SecuriFi is verified in two different real-world environments, and the experimental results prove that SecuriFi has stronger sensitivity to intruders and high localization accuracy at the same time.
Application of Virtual Reality Technology in University Education
Authors: Geng Jiafei , Wu Xiaoli
Published: July 2021

Through the analysis of information and data, we use multimedia, simulation, sensing and artificial intelligence in teaching in colleges and universities, and use many abstract and difficult experiments and theoretical knowledge to create simulated scenarios, natural simulations, and lifelike experiences with virtual technology. Technology and methods. It can generate real-time artificial virtual environment with three-dimensional information that people can interact with naturally. When learners enter it, they can have an immersive and completely real feeling. Through a variety of sensing devices, people can inspect or manipulate objects in the virtual environment, and manipulate and communicate with the environment in real time as in the real world. Virtual reality technology has been fully utilized and popularized in the education of colleges and universities.
The Train Paths Selection Model of Express Freight Train Based on the Entire Transportation Time
Authors: Kai-kai Wang , Shi-wei He
Published: July 2021

Express freight train occupies an important position in the railway freight transportation market due to its stable transportation process and good timeliness. In order to ensure the transportation stability and timeliness of express freight trains, the selection of train paths is an extremely important procedure. A scientific and reasonable selection method of train paths is a necessary guarantee for express freight trains to ex ert their unique advantages as freight products, and influences the quality of freight services and economic benefits. The train timetable was transformed into a space-time network. With the minimum entire transportation time as the optimization objective, and the influence factors of train trip time, transit time in the stations and freight transit period as constraints, a train paths selection model of express freight trains was constructed. The model can realize the reasonable selection of train paths. Finally, an example was given to demonstrate the feasibility and effectiveness of the model and provide a theoretical basis for the railway operation department.
WebGIS System of Kunming Public Drainage Pump Station
Authors: Kang Xiaolin , Liang Hong , Luo Wei , Xu Wenjie
Published: July 2021

Drainage system is the main artery and vein of urban life, and is an important municipal infrastructure for the survival and development of a city. The drainage pumping station is an indispensable part of the drainage project and a hydraulic hub for the normal operation of the urban drainage system. With the rapid development of social economy in Kunming city, the city scale and population increase sharply, Kunming city drainage system, especially drainage pumping station is also facing great pressure and challenge. Aiming at the problems existing in the operation and management of drainage pumping station, a management system of Kunming drainage pumping station based on WebGIS is built to realize the information and scientific management and analysis of a large amount of data. Efficient utilization of pump station operation data; fast access to pumping station information according to different attribute requirements; using statistical chart to better show the situation of Kunming drainage pumping station; use measurement functions to plan pumping stations. The application of this system not only greatly improves the data utilization rate, but also can obtain information quickly and efficiently manage information.
Hierarchical Data Transmission and Processing Analysis of Sensor Network System
Authors: Liu Hong
Published: July 2021

Hierarchical structure is the method and means of data transmission in sensor network system. The large-scale application of sensor network system and a large number of data acquisition will produce massive data. In order to reduce the load of sensor network processor system and make data transmission more reliable and convenient. For the transmission and processing of streaming and structured data, the data can be processed hierarchically and dimensionally. Hierarchical processing can effectively reduce the load of the network system; Dimensionality reduction can effectively compress the amount of data to reduce the time of data transmission and processing. Hierarchical operation is a necessary step for data transmission and processing in sensor networks, and has been applied in large-scale data transmission and processing algorithms.