bluuebunny/crossref_metadata_2025 huggingface dataset:
HSA-Lys-161 covalent bound fluorescent dye for in vivo blood drug dynamic imaging and tumor mapping
Authors: Yue Yongkang , Zhao Tingting , Wang Yuting , Ma Kaiqing , Wu Xingkang , Huo Fangjun , Cheng Fangqin , Yin Caixia
Published: November 2021

HSA lysine-161 covalent bound quinoxaline–coumarin based fluorescent dye realized in situ blood drug concentration monitoring and tumor visualization.
Crystallization induced realignment of carbon fibers in a phase change material to achieve exceptional thermal transportation properties
Authors: Li Maohua , Li Linhong , Qin Yue , Wei Xianzhe , Kong Xiangdong , Zhang Zhenbang , Xiong Shaoyang , Do Hainam , Greer James C. , Pan Zhongbin , Cai Tao , Dai Wen , Lin Cheng-Te , Jiang Nan , Yu Jinhong
Published: November 2021

A thermal conductive shape-stable phase change composite is prepared using carbon fiber and a phase changing matrix which stabilizes temperature and assists the alignment of the filler.
Classical benchmarking for microwave quantum illumination
Authors: Karsa Athena , Pirandola Stefano
Published: November 2021

Quantum illumination theoretically promises up to a 6 dB error‐exponent advantage in target detection over the best classical protocol. The advantage is maximised by a regime that includes a very high background, which occurs naturally when one considers microwave operation. Such a regime has well‐known practical limitations, though it is clear that, theoretically, knowledge of the associated classical benchmark in the microwave is lacking. The requirement of amplifiers for signal detection necessarily renders the optimal classical protocol here different to that which is traditionally used, and only applicable in the optical domain. This work outlines what is the true classical benchmark for the microwave Quantum illumination using coherent states, providing new bounds on error probability and closed formulae for the receiver operating characteristic, for both optimal (based on quantum relative entropy) and homodyne detection schemes. An alternative source generation procedure based on coherent states is also proposed, which demonstrates the potential to make classically optimal performances achievable in optical applications. The same bounds and measures for the performance of such a source are provided, and its potential utility in the future of room temperature quantum detection schemes in the microwave is discussed.
Optimal gain‐scheduling control of proton exchange membrane fuel cell: An LMI approach
Authors: Afsharinejad Amir , Asemani Mohammad Hassan , Dehghani Maryam , Abolpour Roozbeh , Vafamand Navid
Published: November 2021

Here, an optimal linear parameter varying (LPV) controller is developed for non‐linear proton exchange membrane fuel cell (PEMFC) systems. Two performance criteria are involved in the optimal controller, including the membrane pressure and the power of the PEMFC. The former should be minimized; and, the latter should be maximized. Since the goal is to derive sufficient conditions in terms of linear matrix inequality (LMI) constraints, both performances are re‐formulated and augmented in a unique convex optimization problem. Further, the non‐linear PEMFC with the equilibrium profile dependent on time‐varying parameters, that is, current and temperature, is represented by an LPV model. Using the LMI constraints and the obtained LPV model, the gains of the controller are derived. Comparing with the state‐of‐the‐art methods, the proposed approach offers an optimal control approach with a systematic design method, in which both practical issues are treated, simultaneously. To show the advantages of the developed approach, six typical controllers, including the proposed and existing approaches, are considered and several numerical simulation results are conducted.
Time‐domain and frequency‐domain exponential ambiguity functions and their application in joint estimation of delay and Doppler shift
Authors: Liu Lubo , Ji Yuandong , Zhang Lu
Published: November 2021

The classical ambiguity function (AF) in radar signal processing often has a low and fixed resolution in the presence of adjacent multi‐targets. The frequency‐domain exponential ambiguity function (FEAF) was previously presented with a variable exponent p introduced in the frequency‐domain expression of the AF whose range resolution and output signal‐to‐noise ratio can be mutually replaced by controlling the exponent p. However, the FEAF mainly improves the range resolution of reference signals, but it cannot improve its velocity resolution. In this study, on the basis of symmetry theory in the time and frequency domains, a time‐domain exponential ambiguity function (TEAF) was defined by indexing the time‐domain expression of AF. The time‐frequency properties of the defined TEAF are similar and symmetric to those of the FEAF. On the basis of the combination of the FEAF and TEAF with multi‐exponents and a modified CLEAN algorithm for stepwise elimination and estimation of targets, the authors proposed a new joint estimation algorithm for delays and Doppler shifts of multi‐targets. Simulation experiments indicated that the proposed estimation algorithm achieves higher accuracies in delay and Doppler shift estimation in comparison with the traditional AF‐based estimation algorithm and the FEAF‐based estimation algorithm.
Transverse kink oscillations of inhomogeneous prominence threads: Numerical analysis and Hαforward modelling
Authors: Martínez-Gómez David , Soler Roberto , Terradas Jaume , Khomenko Elena
Published: November 2021

Context.Prominence threads are very long and thin flux tubes that are partially filled with cold plasma. Observations have shown that transverse oscillations are frequent in these solar structures. The observations are usually interpreted as the fundamental kink mode, while the detection of the first harmonic remains elusive.

Aims.The properties of oscillations in threads are greatly affected by the density distribution along the flux tube. Here, we aim to study how the density inhomogeneities in the longitudinal and radial directions modify the periods and damping times of kink oscillations and how this effect would be reflected in the observations.

Methods.We solved the ideal magnetohydrodynamics equations using two different methods: (a) performing 3D numerical simulations and (b) solving a 2D generalised eigenvalue problem. We studied the dependence of the periods, damping times, and amplitudes of transverse kink oscillations on the ratio between the densities at the centre and at the ends of the tube, and also on the average density. We applied forward modelling to our 3D simulations to compute synthetic Hαprofiles.

Results.We confirm that the ratio of the period of the fundamental oscillation mode to the period of the first harmonic increases as the ratio of the central density to the footpoint density is increased, or as the averaged density of the tube is decreased. We find that the damping times due to resonant absorption decrease as the central-to-footpoint density ratio increases. Contrary to the case of longitudinally homogeneous tubes, we find that the damping-time-to-period ratio also increases as the density ratio is increased or the average density is reduced. We present snapshots and time-distance diagrams of the emission in the Hαline.

Conclusions.The results presented here have implications for the field of prominence seismology. While the Hαemission can be used to detect the fundamental mode, the first harmonic is barely detectable in Hα. This may explain the lack of detections of the first harmonic. A combination of different spectral lines is required to obtain information about the period ratio and to use it to infer physical properties of the threads.
Approach to Radiculopathy
Authors: Mustafa Rafid , Kissoon Narayan R.
Published: November 2021

Low back pain and neck pain, often with associated radiculopathy, are two of the most common reasons for referral to the outpatient neurology clinic. A thorough clinical evaluation remains paramount in establishing an accurate diagnosis and subsequently an appropriate treatment plan. In this article, we review anatomic considerations for spondylotic radiculopathy; outline the clinical approach for the evaluation of these patients, including discussion of electrodiagnostic and imaging modalities; and address treatment options based on a stratified treatment approach.
Discrete dynamic pricing and application of network revenue management for FlixBus
Authors: Barz Christiane , Laumer Simon , Freyschmidt Marcel , Martínez-Blanco Jesús
Published: November 2021

We consider a real discrete pricing problem in network revenue management for FlixBus. We improve the company's current pricing policy by an intermediate optimization step using booking limits from standard deterministic linear programs. We pay special attention to computational efficiency. FlixBus' strategic decision to allow for low-cost refunds might encourage large group bookings early in the booking process. In this context, we discuss counter-intuitive findings comparing booking limits with static bid price policies. We investigate the theoretical question whether the standard deterministic linear program for network revenue management does provide an upper bound on the optimal expected revenue if customer's willingness to pay varies over time.
Corrigendum to: Social media’s role in support networks among LGBTQ adolescents: a qualitative study
Authors: Berger Matthew N. , Taba Melody , Marino Jennifer L. , Lim Megan S. C. , Cooper Spring Chenoa , Lewis Larissa , Albury Kath , Chung Kon Shing Kenneth , Bateson Deborah , Skinner S. Rachel
Published: November 2021

Background:Adolescents use social media more frequently than other age groups. Social media has been described as a safe environment for lesbian, gay, bisexual, transgender and queer and/or questioning (LGBTQ) adolescents. As part of mixed-methods research investigating the association between social networks and sexual agency, we present qualitative findings on how LGBTQ adolescents connect online to form support networks. Methods:We recruited 30 adolescents aged 14–17years who identified as LGBTQ in terms of their gender or attraction in the longitudinal Social Networks and Agency Project. Semi-structured interviews were conducted online or face-to-face across Australia. Thematic analysis was used to explore perceptions and experiences of participants in relation to social media use and relationships. Results:Two overarching themes were identified: LGBTQ adolescents use social media for identity, relationships and wellbeing support. Social media is not always free of discrimination for LGBTQ adolescents. Many LGBTQ participants joined Facebook groups to connect with LGBTQ peers. Facebook was considered a vital support for those with mental health concerns including suicidal ideation. Participants gave and received support from group members, which was considered useful for those feeling isolated or victimised. LGBTQ adolescents formed friendships, romantic relationships and gained information on sex, relationships, and sexual health from these groups. Participants described negative experiences including discrimination within Facebook groups, mismanaged groups and exposure to anti-LGBTQ sentiments. Conclusion:Social media is an environment where LGBTQ adolescents can connect, educate and support each other, which may have beneficial effects for this marginalised group. There remain issues with social media including discrimination against and within LGBTQ communities.
Love thy ‘populist’
Authors: Čapinská Barbora
Published: November 2021

This article aims to deepen our understanding of scandals involving both transgression of accepted speech and
populist logic by analysing the origins, development, and outcome of a 2018 Czech media controversy. The scandal erupted when a
public service radio station was accused of airing pornographic content. It escalated when the accuser added a xenophobic,
homophobic and nativist commentary to his complaint. By analysing each party’s arguments, the contested and silenced ideas, and
the fantasmatic dimension, I demonstrate how each actor contributed to the escalation of the conflict and facilitated a shift in
accepted public conduct. I propose to view such scandals as attempts to break hegemonic silence that reveal the lack of acceptance
of a new norm, in this case homosexuality. I conclude that such scandals can support dialogue and reduce the polarization of
society if dissenting views are taken into consideration and divisive language avoided by all sides.
Polymedia in interaction
Authors: Androutsopoulos Jannis
Published: November 2021

This Special Issue on “Polymedia in interaction” theorizes and empirically investigates practices and ideologies of digitally mediated interaction under conditions of polymedia. We argue that the proliferation of mobile interpersonal communication in the 2010s calls for, and is reflected in, conceptual and methodological shifts in empirical research on digital language and communication in pragmatics and sociocultural linguistics. In this introduction, these shifts are crystallized in five interrelated themes: (1) a turn from ‘computer-mediated communication’ to ‘digitally mediated interaction’ as a bracket category; (2) a move beyond the on/offline divide and focus on the integration of mediated interaction in everyday communication in micro-units of social structure (e.g. transnational families, business or academic communication); (3) an empirical downscaling towards private and small-scale public data; (4) a shift from the study of single modes of digital communication to polymedia; and (5) a focus on semiotic repertoires and registers of digital mediation. Research that orients to (some or all of) these focal points is compared with other trends in digital language research, including computational methods. The papers in this issue flesh out these five dimensions with findings from qualitative research, based on multi-sited linguistic and digital ethnographies in various sociolinguistic settings.
Are Mentally Disordered Offenders Admitted to Appropriate Secure Settings according to Security Needs? A Cross Sectional Study in Belgium
Authors: Nicaise Pablo , Bourmorck Delphine , De Pau Marjolein , Vander Laenen Freya , Vanderplasschen Wouter , Lorant Vincent
Published: November 2021

Mentally Disordered Offenders (MDOs) who have been declared not criminally responsible for their offense due to their mental condition should be admitted to settings with lowest possible level of security to support their social reintegration. In the context of the reorganization of care for MDOs in Belgium, we assessed the predictors and retrospective appropriateness of 3529 MDO admissions in 2017 according to security needs. Although there was a positive association between the security needs of MDOs and the level of security of the settings to which they were admitted, there was a gap between high and lower security levels. Medium-security settings made up 46% of all admissions, covering a variety of security need profiles. Half the sample of MDOs with high security needs was found in low- and medium-security settings, while a significant proportion of MDOs with low security needs was found in medium-security settings. Clinical characteristics predicted admissions more strongly than custodial characteristics. Decision-makers should refine criteria and procedures for MDOs’ care access. Indeed, the mixed results in relation to admission appropriateness in medium-security services may result from the lack of formal guidelines.
Validation of evaporation-determined model of arc-cathode coupling in the peak current phase in pulsed GMA welding
Authors: Simon Marek , Mokrov Oleg , Sharma Rahul , Reisgen Uwe , Zhang Guokai , Gött Gregor , Uhrlandt Dirk
Published: November 2021

A first experimental validation of the evaporation-determined arc-cathode coupling (EDACC) model is performed by comparing the experimental and simulated current in the peak current phase of a pulsed gas metal arc welding process. For this, the EDACC model was extended to limit the cathode surface temperature to a realistic value of <2400 K. The information on the plasma for the EDACC model was gathered from literature and extrapolated and extended according to qualitative reasoning. The information on the cathode surface of the EDACC model was derived from a steady-state simulation of the weld pool, using an averaging approach over time for the energy and current. The weld pool surface temperature was compared to pyrometric measurements, that were performed for this work, and the agreement was found to be fair. The observed agreement between the modeled and experimentally determined current was within 10%. As strong assumptions were made for the comparison, the validation cannot be considered as final, but the assumptions are thoroughly analyzed and discussed. However the critical link between surface temperature, plasma temperature and total current transmitted could be reconstructed.
A vision transformer for emphysema classification using CT images
Authors: Wu Yanan , Qi Shouliang , Sun Yu , Xia Shuyue , Yao Yudong , Qian Wei
Published: November 2021

Objective. Emphysema is characterized by the destruction and permanent enlargement of the alveoli in the lung. According to visual CT appearance, emphysema can be divided into three subtypes: centrilobular emphysema (CLE), panlobular emphysema (PLE), and paraseptal emphysema (PSE). Automating emphysema classification can help precisely determine the patterns of lung destruction and provide a quantitative evaluation.Approach. We propose a vision transformer (ViT) model to classify the emphysema subtypes via CT images. First, large patches (61×61) are cropped from CT images which contain the area of normal lung parenchyma, CLE, PLE, and PSE. After resizing, the large patch is divided into small patches and these small patches are converted to a sequence of patch embeddings by flattening and linear embedding. A class embedding is concatenated to the patch embedding, and the positional embedding is added to the resulting embeddings described above. Then, the obtained embedding is fed into the transformer encoder blocks to generate the final representation. Finally, the learnable class embedding is fed to a softmax layer to classify the emphysema.Main results. To overcome the lack of massive data, the transformer encoder blocks (pre-trained on ImageNet) are transferred and fine-tuned in our ViT model. The average accuracy of the pre-trained ViT model achieves 95.95% in our lab’s own dataset, which is higher than that of AlexNet, Inception-V3, MobileNet-V2, ResNet34, and ResNet50. Meanwhile, the pre-trained ViT model outperforms the ViT model without the pre-training. The accuracy of our pre-trained ViT model is higher than or comparable to that by available methods for the public dataset.Significance. The results demonstrated that the proposed ViT model can accurately classify the subtypes of emphysema using CT images. The ViT model can help make an effective computer-aided diagnosis of emphysema, and the ViT method can be extended to other medical applications.
Investigation of degradation mechanism after negative bias temperature stress in Si/SiGe channel metal–oxide–semiconductor capacitors induced by hydrogen diffusion
Authors: Ciou Fong-Min , Chang Yen-Cheng , Chen Po-Hsun , Lin Chien-Yu , Lin Yun-Hsuan , Chen Kuan-Hsu , Jin Fu-Yuan , Lin Yu-Shan , Hung Wei-Chun , Chang Kai-Chun , Kuo Ting-Tzu , Yeh Chien-Hung , Chang Ting-Chang
Published: November 2021

In this research, based on I–V and C–V measurement at different temperatures, the interface defect density in the device with the Si/SiGe channel was discussed. In addition, negative bias temperature instability (NBTI) is also studied. In previous research, most of the flat-band voltage (V
FB) shifts during NBTI stress was attributed to hole injection. In this article, however, the release of atomic hydrogen from the Si–H bonds at the SiO2/Si interface and at the SiGe interface produces a fixed oxide charge, which causes V
FB shifts which vary with material.
Novel anomalous diffusion phenomena of underdamped Langevin equation with random parameters
Authors: Chen Yao , Wang Xudong
Published: November 2021

The diffusion behavior of particles moving in complex heterogeneous environment is a very topical issue. We characterize particle’s trajectory via an underdamped Langevin system driven by a Gaussian white noise with a time dependent diffusivity of velocity, together with a random relaxation timescale τ to parameterize the effect of complex medium. We mainly concern how the random parameter τ influences the diffusion behavior and ergodic property of this Langevin system. Besides, the comparison between the fixed and random initial velocity v
0 is conducted to show the effect of different initial ensembles. The heavy-tailed distribution of τ with finite mean is found to suppress the decay rate of the velocity correlation function and promote the diffusion behavior, playing a competition role to the time dependent diffusivity. More interestingly, a random v
0 with a specific distribution depending on random τ also enhances the diffusion. Both the random parameters τ and v
0 influence the dynamics of the Langevin system in a non-obvious way, which cannot be ignored even they have finite moments.
Charged black holes in the infinite derivative theory of gravity
Authors: Xiao Yong , Zhang Longting
Published: November 2021

The infinite derivative theory of gravity is a generalization of Einstein gravity with many interesting properties, but the black hole solutions in this theory are still not fully understood. In the paper, we concentrate on studying the charged black holes in such a theory. Adding the electromagnetic field part to the effective action, we show how the black hole solutions around the Reissner–Nordström metric can be solved perturbatively and iteratively. We further calculate the corresponding temperature, entropy and electrostatic potential of the black holes and verify the first law of thermodynamics.
Universal single-server blind quantum computation for classical clients
Authors: Xu Hai-Ru , Wang Bang-Hai
Published: November 2021

Blind quantum computation (BQC) allows a client without enough quantum technologies to delegate her quantum computation to a remote quantum server, while keeping her input, output and algorithm secure. In this paper, we propose a universal single-server and almost-classical-client BQC protocol. In this protocol, the client interfaces with only one server and the only ability of the client required is to get particles from the trusted center and forward them to the server. We present an analysis of this protocol and modify it to a universal single-server and fully-classical-client BQC protocol by improving the ability of the trusted center. Based on our protocols and recent works, a new ‘Cloud + Certificate Authority (CA)’ style is proposed for the BQC.
Strategy to mitigate single event upset in 14-nm CMOS bulk FinFET technology
Authors: Li Dong-Qing , Liu Tian-Qi , Zhao Pei-Xiong , Wu Zhen-Yu , Wang Tie-Shan , Liu Jie
Published: November 2021

Three-dimensional (3D) TCAD simulations demonstrate that reducing the distance between the well boundary and N-channel metal–oxide semiconductor (NMOS) transistor or P-channel metal–oxide semiconductor (PMOS) transistor can mitigate the cross section of single event upset (SEU) in 14-nm complementary metal–oxide semiconductor (CMOS) bulk FinFET technology. The competition of charge collection between well boundary and sensitive nodes, the enhanced restoring currents and the change of bipolar effect are responsible for the decrease of SEU cross section. Unlike dual-interlock cell (DICE) design, this approach is more effective under heavy ion irradiation of higher LET, in the presence of enough taps to ensure the rapid recovery of well potential. Besides, the feasibility of this method and its effectiveness with feature size scaling down are discussed.
Introducing voids around the interlayer of AlN by high temperature annealing
Authors: Ben Jianwei , Luo Jiangliu , Lin Zhichen , Sun Xiaojuan , Liu Xinke , Li Xiaohua
Published: November 2021

Introducing voids into AlN layer at a certain height using a simple method is meaningful but challenging. In this work, the AlN/sapphire template with AlN interlayer structure was designed and grown by metal-organic chemical vapor deposition. Then, the AlN template was annealed at 1700 °C for an hour to introduce the voids. It was found that voids were formed in the AlN layer after high-temperature annealing and they were mainly distributed around the AlN interlayer. Meanwhile, the dislocation density of the AlN template decreased from 5.26 × 109 cm−2 to 5.10 × 108 cm−2. This work provides a possible method to introduce voids into AlN layer at a designated height, which will benefit the design of AlN-based devices.
Influence of LDA+U on band dispersion in monolayer MCl2 (M: Fe, Co)
Authors: Prayitno T B , Budi E , Fahdiran R
Published: November 2021

We investigated the effect of LDA+U on the band dispersions in 1T monolayer FeCl2 and CoCl2 within the self-consistent noncollinear calculation. As shown in the band dispersed, FeCl2 is metallic while CoCl2 is insulating. When the effective Coulomb energy takes into account, FeCl2 is metallic without band gap while the band gap in CoCl2 increases as the Coulomb energy increases. Thus, the band gap in CoCl2 can be effectively controlled by the Coulomb energy, thus it is feasible for spontaneous development.
Model Selection in Peptide-receptor Radionuclide Therapy for an Accurate Determination of Time Integrated Activity Coefficients
Authors: Atikah N , Riana A , Dwi A , Anwari Z , Misrawati  , Hardiansyah D
Published: November 2021

Calculation of accurate time-integrated activity coefficients (TIACs) is desirable in nuclear medicine dosimetry. The accuracy of the calculated TIACs is highly dependent on the fit function. However, systematic studies of determining a good function for peptide-receptor radionuclide therapy (PRRT) in different patients have not been reported in the literature. The aim of this study was to individually determine the best function for the calculation of TIACs in tumor and kidneys using a model selection based on the goodness of fit criteria and Corrected Akaike Information Criterion (AICc). The data used in this study was pharmacokinetic data of 111In-DOTATATE in tumor and kidneys obtained from 4 PRRT patients. Eleven functions with various parameterizations were formulated to describe the biokinetic data of 111In-DOTATATE in tumor and kidneys. The model selection was performed by choosing the best function from the function with sufficient goodness of fit based on the smallest AICc. Based on the results of model selection, function A
1
-(λ
1+λphys
)t
was selected as the best function for all tumor and kidneys in patients with meningioma tumors. By using this function, the calculated of TIACs could be more accurate for future patients with meningioma tumor.
Pseudo-hermitian random matrix theory: a review
Authors: Feinberg Joshua , Riser Roman
Published: November 2021

We review our recent results on pseudo-hermitian random matrix theory which were hitherto presented in various conferences and talks. (Detailed accounts of our work will appear soon in separate publications.) Following an introduction of this new type of random matrices, we focus on two specific models of matrices which are pseudo-hermitian with respect to a given indefinite metric B. Eigenvalues of pseudo-hermitian matrices are either real, or come in complex-conjugate pairs. The diagrammatic method is applied to deriving explicit analytical expressions for the density of eigenvalues in the complex plane and on the real axis, in the large-N, planar limit. In one of the models we discuss, the metric B depends on a certain real parameter t. As t varies, the model exhibits various ‘phase transitions’ associated with eigenvalues flowing from the complex plane onto the real axis, causing disjoint eigenvalue support intervals to merge. Our analytical results agree well with presented numerical simulations.
Surface characterization of laser-induced molten area in micro-grooving of silicon by ultraviolet (UV) laser
Authors: Raman N S A , Nordin I H W , Majid M S A , Razlan Z M , Abdullah S S C
Published: November 2021

The objective of this research is to understand the fundamental mechanisms that govern the formation of laser-induced molten area during the micro-grooved fabrication on silicon material. In this research work, micro grooves were fabricated on silicon wafer by using ultraviolet (UV) laser of 248nm wavelength. Influence of lasing parameters such as pulse duration, laser pulse energy and scanning speed on the surface of micro-grooved was characterized. It is found that, the width of the micro grooves become wider with increasing laser pulse energy when ultraviolet laser was irradiated on silicon material. On the other hand, heat affected zone (HAZ) can be found at the surface of micro groove line at high pulse energy, high pulse repetition rate and lower scanning speed irradiation condition. This is considered due to the excessive heat input of the laser irradiation condition. It is concluded that proper selection of laser processing parameters of pulse energy, E, pulse repetition rate, R

p
, and scanning speed is necessary to achieve high quality micro-grooves.
Numerical analysis of Darrieus vertical axis wind turbine using omni-direction guide vane
Authors: Sathiyamoorthy K , Nandha Sri Varma N , Showrinath M
Published: November 2021

The performance of Darrieus turbine is studied in this paper with the attachment of ODGV to enhance its performance. The angles of guided vanes are chosen from the literature as α=20° beta=55°. According to this hypothesis the airfoil section of S1046 chosen for performance analysis. The K-ε SST 2 equation model is used for generating the moment for 5 blades turbine with the radius of 0.25m in the 2D configuration. The Chord length is chosen as 78mm and Air velocity is considered as 6m/s for the entire transient simulation. The study of performance and operational parameters have been done on turbine with presence and absence of ODGV.
Optimal Allocation Algorithm of Grid Side Energy Storage Capacity under Large Scale Wind Farm Connection
Authors: Ma Junpeng , Sha Jianjun , Liu Feiyan
Published: November 2021

For grid energy storage capacity configuration is not reasonable, problems such as instability in crossing the river power fluctuations, are proposed based on a large scale wind power grid side under the condition of energy storage capacity of the optimal allocation algorithm, through the use of large-scale wind farm access method to achieve the optimal design of power grid model, so as to quickly solve the micro grid energy storage capacity planning cost and energy consumption data, according to the results. The operation parameters, energy loss and other numerical values of the model in the power grid are controlled, and according to the calculation results. Finally, the experiment proves that the optimization configuration algorithm of the power grid side energy storage capacity under the large-scale wind farm access has higher practicability and accuracy in the practical application process, and fully meets the research requirements.
Research on Site Selection Method of Battery Energy Storage System Based on Critical CutSet Identification
Authors: Zeng Jingjie , Li Peiqiang , Zhang Zhongkai , Liu Xinke
Published: November 2021

Under different operating conditions, the influence of energy storage battery on the power grid is different, and the location and capacity determination methods are also different. Therefore, how to scientifically and reasonably select the location is of great significance. This paper proposes a candidate set identification method for the most vulnerable branch and critical cut set of power system transient stability based on branch potential energy, and uses the improved comprehensive index to identify the critical cut set. This method does not need to wait for the end of time domain simulation to determine the most vulnerable lines and critical cut sets, thus providing the basis for the location of battery energy storage system (BESS). Through the power system comprehensive analysis program (PSASP) simulation, the accuracy of theoretical analysis and engineering practicability are verified.
Research on the full-load joint regulation strategy of coal-fired generating units and electrolyzed hydrogen production
Authors: Sun Haijie , Ren Jianxing , Li Fangqin , Cheng Mengping , Wang Ze
Published: November 2021

As the installed capacity of wind power and other renewable energy sources continues to increase, the intermittent and volatility of their output has put tremendous pressure on the safe and stable operation of the power grid. The demand for peak shaving is becoming increasingly urgent. In this paper, the electrolysis hydrogen production system participates in the deep peak shaving of coal-fired generators. Through the participation of load regulation of the electrolysis hydrogen production system, according to the requirements of the power grid on the different loads of the unit, the load of the electrolysis hydrogen production system is adjusted to adjust the load of the unit. In order to realize full-load regulation of coal-fired thermal power plants and improve the power generation efficiency of units.
Test and Research on Noise Distribution Characteristics of 220kV Oil-immersed Transformer
Authors: Ma Yuchao , Mo Juan , Han Li , Li Xiang , Xiao Qingming
Published: November 2021

Large power transformer is the main noise source of substation. With the increase of voltage grade and rated capacity, the noise radiation value of power equipment continues to increase, which has a great influence on the noise standard of substation boundary. In this paper, two test conditions of no-load voltage and load current are considered. The transformer noise testing datum is constructed. The distribution law of factory noise SPL of 220kV oil-immersed transformer is obtained. The test results provide accurate test data for transformer factory noise evaluation.
Experimental Study on the Combined Heating of Phase-Change Water Tank and Different Terminal Cooling Equipment
Authors: Zou Hang , Liu Zhanqiang , Long Enshen
Published: November 2021

In this paper, we set up a solar energy-phase change heat storage system and experimental study on the matching of the phase-change tank and three different terminal cooling equipment. Among them, phase-change water tank is used as heat source, meanwhile, radiator, heater and capillary as terminal cooling equipment. When radiator the terminal is radiator, the indoor temperature is difficult to meet the heating temperature requirements. When the terminal is heater, the indoor temperature can meet the requirements of heating temperature. However, the longitudinal distribution and lateral distribution of indoor air temperature are unevenly distributed and affect the thermal comfort of human body. When the terminal is capillary tube, the indoor temperature maintain at a high temperature and the temperature is satisfied with the thermal comfort of human body. Therefore, the capillary tube as the terminal cooling equipment is more advantageous of matching with the phase-change tank.
Study on Optimization Control of Hydrogen Sulfide Concentration in Coal-fired Boilers
Authors: Chen Kang , Fan Yu , Wang Xiao , Xu ZhaoRui
Published: November 2021

H2S is an important element to high-temperature corrosion for the water-cooled wall of coal-fired boilers, thus, it is an effective means to prevent high-temperature corrosion through reducing the concentration of H2S near the boiler wall. Since the concentration of H2S in the boiler is closely related to the concentration of O2 and CO, the research on the distribution of H2S atmosphere in the boiler furnace was conducted in this paper. With the air distribution regulation as the means, local O2 concentration is increased, to avoid the accumulation of H2S near the wall and reduce high-temperature corrosion.
Research on additional damping control of sub-synchronous oscillation in series-compensated DFIG system
Authors: Liang Weili , Wu Jiguang
Published: November 2021

Since series-compensated grid-connected system of doubly fed induction generator (DFIG) may cause sub-synchronous oscillation, with the purpose of improving the system stability, in this paper, the mechanism of sub-synchronous oscillation (SSO) is analyzed from the perspective of system damping, according to the mechanism, an additional damping controller is designed to suppress SSO. The controller uses rotor speed as the input signal and adds it into the d-axis current inner loop of the grid-side converter through filtering and proportional amplification, with the purpose of providing positive damping to the system. Finally, the model of DFIG series-compensated grid-connected system is established on PSCAD/EMTDC simulation platform to verify the suppression effect of the additional damping controller through time-domain simulation. The simulation results show that the device has good respond speed and suppression effect.
A DC-DC converter anti-interference system based on T-S fuzzy sliding mode control
Authors: Yu Siqi , Zhao Yan , Wang Yuri , You Fucai , Bai Jinyu
Published: November 2021

With the wide application of switching power supply, the research on its control method has become a hot spot at present, and DC-DC converter is one of the switching power supplies with the highest frequency. However, in daily use, the input voltage of the converter may fluctuate greatly, so it is very important to obtain a stable DC output voltage. Therefore, this paper proposes a nonlinear composite control strategy method based on T-S fuzzy sliding mode control for the system disturbance problem of DC-DC converter. After establishing the T-S fuzzy model, the variable structure control theory is added, and the sliding mode surface and sliding mode control law are designed and their stability is proved by Lyapunov function. The simulation results show that the proposed control method has a good control effect and can keep the system robust.
Design of an Intelligent Purification and Disinfection Apparatus for Air Conditioning Units
Authors: Duan Yitong , He Kun , Xie Xinyi , Zou Jingwen , Zhao Huiyu
Published: November 2021

With the sudden outbreak and rapid spread of COVID-19, global economic development and social stability have been seriously affected. The virus mainly spreads infection among people on a large scale through the air. People are gradually focusing on how to use HVAC system, so that it can play a more efficient and positive role in epidemic prevention and control. Consequently, we designed an intelligent purification and disinfection apparatus for air-conditioning units. The apparatus integrates rapid virus detection and high-efficiency disinfection functions. It uses a modular design and different operating modes for different levels of epidemic periods. This apparatus is not only suitable for daily life, but also can meet the prevention and control requirements during the epidemic period, which takes the economy, energy saving, and environmental protection into account.
Multi-objective optimal planning of urban virtual power plant based on electrical distance
Authors: Zeng Rui , Yang Gaofeng , Xie Duyang , Zeng Yi , Zheng Tianwen , Zhang Chengyun , Pan Lei
Published: November 2021

Currently, virtual power plants (VPP) in urban areas face problems such as over-dispersion of distributed power sources, insufficient source-load coordination. Traditional VPP planning method increases the difficulty in the operation and the dispatch of VPP. Therefore, this paper proposes a planning method for urban VPP that fully considers the coupling characteristics between the buses. From the distribution network to district to bus, a multi-objective bilevel optimization planning model for urban VPP is established. The upper-level planning model aims at minimizing the annual comprehensive cost, and derive the overall capacity of wind power turbine (WT), photovoltaic(PV), and energy storage system (ESS) of VPP in each district. The lower-level planning model aims at minimizing the network loss, and realizes the site selection and capacity allocation in each selected site. The case study based on the IEEE-33 standard system was carried out to verify the advancement and effectiveness of the proposed method.
A Load Modeling Method Based on Machine Learning
Authors: Song Lei , Lu Chun-Guang , Huang Xiao-Qiong , Wang Qing-Juan , Zhou Chen-Hui , Chi-Jiang  , Wang Chao-Liang , Ding Yi , Diao Rui-Peng , Wei-Liu  , Li Yi-Long
Published: November 2021

More and more high-power impact loads in the power grid are put into use. When the power is impacted, these loads will cause the power grid bus voltage fluctuations and reduce the power quality. Therefore, in order to accurately analyze the changes in the power system, it is particularly important to establish a reasonable impact load model. This paper takes the impact load data generated by the CT machine during exposure as an example to analyze the characteristics of the impact load. Based on the active power characteristics of the impact load, machine learning methods (such as support vector machines and long and short-term memory networks) are introduced into the impact load modeling, and the power waveform change law of the impact load is accurately established by this method. Finally, the effectiveness of the method is verified by simulation.
Research on short-term wind power Prediction of GRU based on similar days
Authors: Lin Yong , Zhang Haiing , Liu JiYan , Ju WenJie , Wang JinYou , Chen XiaoDong
Published: November 2021

As the proportion of wind power generation continues to increase, accurate forecasting of wind power output is of great significance to the smooth operation of the entire power grid. However, due to the greater impact of environmental factors, wind power generation has strong randomness, and it becomes difficult to accurately predict the power generation. Thus, a new hybrid model for wind power generation prediction combining GRU neural networks and similar days’ characters analysis is proposed to address solve this problem. The prediction method employs grey relation analysis to screen similar days, which not only reduces the amount of data required to train the model, reduces the computational complexity, and improves the training speed, but also improves the prediction accuracy based on the selected datasets. In addition, this method also filters and processes the data through box-plot analysis and linear smoothing, which further improves the prediction accuracy of the model. The results show that compared with a single GRU network, the MAE of this method has dropped by 1.89, RMSE has dropped by 1.9, and MAPE has dropped by 11.07%. Obviously, the prediction model based on similar days extraction has obvious advantages.
Big Data Cleaning Model of Multi-Source Heterogeneous Power Grid Based On Machine Learning Classification Algorithm
Authors: Ying Zhangchi , Huang Yuteng , Chen Ke , Yu Tianqi
Published: November 2021

Aiming at the low cleaning rate of the traditional multi-source heterogeneous power grid big data cleaning model, a multi-source heterogeneous power grid big data cleaning model based on machine learning classification algorithm is designed. By capturing high-quality multi-source heterogeneous power grid big data, weight labeling of data source importance measurement, data attributes and tuples, and constructing Tan network based on the idea of machine learning classification algorithm, the data probability value is finally used to complete the classification and cleaning of inaccurate data. Experiments show that the model based on machine learning classification algorithm can effectively improve the imprecise data cleaning rate compared with the traditional model to solve multi-source heterogeneous imprecise data cleaning.
HV Cable Intelligent Sensing IoT Technology and Application
Authors: Yang Tianyu , Li Hai , Zhou Yunjie , Yuan Jialiang , Lou Tiecheng
Published: November 2021

In view of the challenges faced by the current HV cable O&M management, such as the growth of equipment scale, the severe security situation, the lack of comprehensive perception on equipment status, and the ability of intelligent analysis and decision-making to be improved, it was proposed to build a HV cable intelligent sensing IoT based on new sensors such as intelligent earthing box, PD intensive care unit, intelligent ground landmark and face recognition system for terminal stations, so as to comprehensively improve the quality and efficiency of HV cable O&M management. A pilot project was built in Hongqiao area in Shanghai, forming typical application scenarios such as IoT intelligent disposal, integration of monitoring and detection data in terminal stations, panoramic intelligent patrol inspection for ensuring power supply.
Emergent fields from hidden sectors
Authors: Anastasopoulos Pascal
Published: November 2021

The present research proceeding aims at investigating/exploring/sharpening the phenomenological consequences of string theory and holography in particle physics and cosmology. We rely on and elaborate on the recently proposed framework whereby four-dimensional quantum field theories describe all interactions in Nature, and gravity is an emergent and not a fundamental force. New gauge fields, axions, and fermions, which can play the role of right-handed neutrinos, can also emerge in this framework.

Preprint: UWThPh 2021-8
A Machine Learning approach to the EFT re-interpretation of the WZjj fully leptonic electroweak production
Authors: Bachas Konstantinos , Karkanias Ioannis , Kasimi Eirini , Leonidis Christos , Petridou Chara , Sampsonidou Despina , Zachariadou Katerina
Published: November 2021

In this paper we study the use of Machine Learning techniques to set constraints on indirect signatures of physics beyond the Standard Model in Vector Boson Scattering (VBS), in the electroweak (EWK) production of self-interacting W
±
Z bosons in association with two jets. The WZ fully leptonic channel has been extensively studied by the ATLAS Collaboration at the LHC and we are about to provide results using the full Run 2 data corresponding to an integrated luminosity of 139fb
−1. The EWK production of the WZ in association with two jets has been already observed at 36fb
−1 with an observed significance of 5.3 standard deviations. A factor of four increase in the integrated luminosity provides an opportunity to check for deviations from the Standard Model (SM) predictions, in particular for model independent, indirect searches for New Physics. Such searches can be realized in the context of an extension of the SM in terms of an Effective Field Theory (EFT) formalism, providing a way to quantify possible deviations from the Standard Model. The EFT Lagrangian besides the Standard Model terms comprises contributions from higher dimension operators, their effect being determined by the strength of their corresponding parameters (Wilson coefficients scaled to the appropriate power of Λ, indicating the scale of the appearance of New Physics). In this paper an attempt is made to search for New Physics effects in the WZjj production, using state-of-the-art machine learning models where diverse network architectures are effectively combined into ensembles trained on the outcomes of base learners maximizing performance. The base learners are trained to identify pure WZjj signal events originating from the effect of EFT operators, from WZjj background events originating from strong (QCD) or EWK WZjj processes. We investigate the utilization of the ensemble model response in estimating the sensitivity of WZjj events in some of the dimension-8 EFT operators and compare the results to sensitive kinematic variables traditionally used to constrain the EFT operator effects.