bluuebunny/crossref_metadata_2025 huggingface dataset:
Volt/VAr Control in Distribution Systems by Fuzzy Multiobjective and Particle Swarm
Authors: Auchariyamet Suwit , Sirisumrannukul Somporn
Published: June 2023

This paper presents the optimal dispatch for the under load tap changer (ULTC) of a substation transformer, substation capacitors, and feeder capacitors for volt/VAr control in a distribution system. Three objectives of interest in the problem consist of energy loss, total capacitor kVAr to be switched on, and total number of daily switching operations of the ULTCand all capacitors. The optimization problem is subjected to power °ow equations, voltage limits, and maximum switching operations for the ULTC and the capacitors. All the objectives are fuzzi¯ed using a trapezoidal membership function and are integrated to represent the fuzzy decision value. Fuzzy multiobjective and particle swarm optimization are employed to determine the optimal dispatch schedule that provides the best compromise among all the objectives. The methodology is demonstrated by a 29-bus distribution system of Provincial Electricity Authority (PEA), Thailand.
Investigation into the Effects of Channel Properties on Training-based MIMO Channel Estimation
Authors: Liu Xia , Bialkowski Marek E. , Wang Feng
Published: June 2023

This paper reports on investigations into the effect of channel properties on training-based MIMO channel estimation. Here, the channel's properties are represented by eigenvalues of the complex channel correlation matrix. The influence of these eigen values is assessed for two training based channel estimation methods, Scaled Least Square (SLS) method and Minimum Mean Square Error (MMSE) method. It is shown that for a given transmitted power to noise ratio in the training mode, the performance of the two estimation methods is governed by the sum of eigen values of the channel correlation matrix. Simulation results support this conclusion.
Hybrid Design of Passive Mobile Robot Teleoperation System
Authors: Cahyadi Adha Imam , Nugroho Prapto , Yamamoto Yoshio
Published: June 2023

This paper presents a preliminary design of remotely teleoperated vehicle such as mobile robot using haptic device. The perception principle of the slave side is constructed based on the classical Potential Field approach and especially used for detecting the presence of obstacles. A feedback linerization scheme is employed to render the mobile robot to be a passive system. As the interaction with the obstacle based on the potential ¯eld method is passive by nature, with additional assumption that the user is skilled, the connection between the haptic device andthe mobile robot is guaranteed to be stable. In this work, in order to simplify the controller development, no communication channel delay is assumed.
The Application of Duffing Oscillator in Weak Signal Detection
Authors: Jalilvand Abolfazl , Fotoohabadi Hadi
Published: June 2023

In this paper, a method for identifying the chaotic state of du±ng oscillator is proposed where the duffing oscillator is used for weak signal detection. This method is based on frequency spectrum analysis and filtering. Some relative aspects of this method for practical using are studied in details too. The proposed method has three properties; reasonable calculation complexity, robustness to moderate noise amount, and capability of detection with short signal sequence. The proposed approach has good robustness, which is successfully shown in this paper.
A Novel Anti-Collision Algorithm for High-Density RFID Tags
Authors: Makwimanloy Sarawut , Kovintavewat Piya , Ketprom Urachada , Tantibundhit Charturong
Published: June 2023

In a radio frequency identi¯cation (RFID) system, when more than one tag communicates with the reader at the same time, a collision will occur, resulting in the failure of that communication. Many anti-collision algorithms, such as Binary Tree (BT), FSA, and DFSA, have been used in ISO and EPC standards to prevent such a collision. This paper develops a new anti-collision algorithm based on the BT and the DFSA algorithms. Specifically, all tags are divided into many groups using the DSFA algorithm. Then, the tags in each group are identified using the BT algorithm. Results indicate that the proposed algorithm performs better than the existing ones in terms of the number of used time slots (the less the used time slot, the faster the algorithm).
Multiobjective Bees Algorithm for Optimal Power Flow Problem
Authors: Bhasaputra Pornrapeepat , Anantasate Sumeth , Pattaraprakorn Woraratana
Published: June 2023

This paper presents a multiobjective bees algorithm (MOBA) for solving the multiobjective optimal power flow. The multiobjective optimal power flow is to simultaneously minimize total fuel cost and environmental pollution of generation with considering various constraints i.e. limits on generator real and reactive power outputs, bus voltages, transformer tap-setting and power flow of transmission lines. The proposed multiobjective bees algorithm is developed by using principle of multiobjective optimization. A clustering algorithm is applied for multiobjective bees algorithm in order to manage the size of the Pareto-optimal set. The proposed approach has been tested on the standard IEEE 30-bus system. The multiobjective bees algorithm produces true and well-distributed Pareto-optimal fronts in a single run. The results show that multiobjective bees algorithm has effectiveness and potential for solving multiobjective optimal power flow problem.
ECEB: Enhanced Constraint Repetition Block for Regular Expression Matching on FPGA
Authors: Long Le Hoang , Hieu Tran Trung , Tai Vu Tan , Hung Nguyen Hoa , Thinh Tran Ngoc , Vu Dinh Duc Anh
Published: June 2023

Recent Network Intrusion Detection Systems (NIDSs) utilize Perl Compatible Regular Expression to describe malicious patterns existing in the content payload of packets more and more e±ciently. Several techniques are introduced to optimize the performance or complete the system for full support all of PCRE features in hardware platform, but some issues have just been solved partially. Constraint Repetition is among important characteristics of PCRE but its e®ective hardware-based implementation solutions are still limited. This paper describes an Enhanced Constraint rEpetition Block (ECEB) for regular expression matching engine in FPGA. To support more PCRE features, we improve our implementation to handle flag 'm' modifier. We also implement the block memory (BRAM) based character matching which saves a lot of LUTs and effectively improves overall system's throughput compared to related techniques. A software tool-chain for auto-generating PCRE matching system is also introduced. We do experiments on low-cost XC2VP50 Xilinx Virtex II Pro chip with the rule set of SNORT, an open source NIDS, to evaluate our implementation. The results verify that our architecture can achieve throughput up to 1Gbps and save up to 90% hardware resources compared with the conventional architecture.
Design and Analysis of Zero Cogging Brushless DC Motor for Spacecraft Applications
Authors: R.P. Praveen , M.H. Ravichandran , Achari V. T. Sadasivan , P. Jagathy Raj V. , Madhu G. , Bindu G.R.
Published: June 2023

This paper presents the optimal design of a surface mounted permanent magnet Brushless DC motor (PMBLDC) meant for spacecraft applications. The spacecraft applications requires the choice of a torques motor with high torque density, minimum cogging torque, better positional stability and high torque to inertia ratio. Performance of two types of machine con¯gurations viz Slotted PMBLDC and Slotless PMBLDC with halbach array are compared with the help of analytical and FE methods. It is found that unlike a Slotted PMBLDC motor, the Slotless type with halbach array develops zero cogging torque without reduction in the developed torque. Moreover, the machine being coreless provides high torque to inertia ratio and zero magnetic stiction.
Optimal Placement of PMUs in Power Systems Using Mixed Integer Non Linear Programming and Bacterial Foraging Algorithm
Authors: Mazlumi Kazem , Vahedi Hesan
Published: June 2023

This paper aims to optimize the PMU (Phasor Measurement Unit) placement for a full observation of the power network and the minimum number of PMUs. In this paper, competition of Mixed Integer Non-Linear Programming and heuristically algorithms such as Bacterial Foraging Algorithm is presented. The results are demonstrated with PMU placement optimization simulation and a redundancy measurement analysis by using IEEE14-bus and Tehran Regional electric company 41-bus networks.
Robust Iterative Learning Control for Linear Systems Subject to Time-Invariant Parametric Uncertainties and Repetitive Disturbances
Authors: Nguyen Dinh Hoa , Banjerdpongchai David
Published: June 2023

This paper presents the design of a robust Iterative Learning Control (ILC) algorithm for linear systems in the presence of parametric uncertainties and repetitive disturbances. The robust ILC design is formulated as a min-max problem with a quadratic performance index subjected to constraints of the control input. Employing Lagrange duality, we can reformulate the robust ILC design as a convex optimization problem over linear matrix inequalities (LMIs). An LMI algorithm for the robust ILC design is then given. Finally, the effectiveness of the proposed robust ILC algorithm is demonstrated through a numerical example.
Unit gradient vectors based motion estimation techniques
Authors: Boonsieng Pramuk , Kondo Toshiaki , Kongprawechnon Waree
Published: June 2023

This paper presents two motion estimation techniques based on gradient orientation information (GOI). We utilize GOI by means of unit gradient vectors (UGVs) of an image. UGVs are used, in place of image intensities, in two conventional motion estimation techniques: the gradient method (GM) and the gradient structure tensor method (GSTM). We name the two novel approaches the gradient orientation based gradient method (GOGM) and gradient orientation structure tensor method (GOSTM), respectively. The proposed methods have been compared with the traditional methods, the GM and GSTM, under mildly noisy (40dB) and uniformly varying lighting conditions. As the gradient orientation is remarkably invariant to uniform changes of image intensities, simulation results show that the proposed methods can perform motion estimation robustly in changing lighting conditions. The results also revealthe significance of a low-pass filter to be applied to an input image sequence prior to the computation of motion vectors. The paper also discusses the appropriate size of the local area where a motion vector is estimated.
Transient Modeling and Controlling of a New Topology of UPFC for Transmission System Applications
Authors: Ajami Ali
Published: June 2023

The theory, transient and steady state models of a new topology of UPFC, the center node unified power flow controller(C-UPFC), are presented in this paper. Also, a control system for this device is presented. The CUPFC consists of three voltage source inverters (VSI) with common DC link capacitor. The proposed model represents the behavior of the controller in thesteady and transient states operating conditions. The presented model and control system of C-UPFC is validated with help of the PSCAD/EMTDC simulation program. In this paper C-UPFC is simulated under different operating conditions. The presented control system enables the CUPFC to independent control of the active and reactive power flows at the both ends of transmission line, regulating the DC link capacitor and AC bus voltage and power oscillation damping. It will be shown that by adding a supplementary control signal to the shunt inverter control system, it is possible to balance line current too.
Calculating Leakage Inductances of Split-Windings in Dry-Type Traction Transformers
Authors: Azizian Davood , Vakilian Mehdi , Faiz Jawad , Bigdeli Mehdi
Published: June 2023

Calculating leakage inductances between windings of multi-winding traction transformers is one of the most important schemes in design procedure. In this paper, a new analytical method and finite element models have been introduced for electromagnetic modeling of traction transformers with four split windings. Using these methods, the leakage inductances between the split windings are calculated and the methods have been validated with the help of experimental data gathered from a typical 4000kVA cast-resin dry-type transformer. Some reformations are employed to improve the finite element results and effects of these reformations on accuracy of the models are studied. Employing the validated models, the effects of middle yoke on the leakage inductances of split-winding traction transformer are discussed in this paper.
Controlling Chaotic Ferroresonance in Autotransformer connecting Metal Oxide Surge Arrester and Neutral Earth Resistance
Authors: Radmanesh Hamid
Published: June 2023

This paper investigates the effect of linear core losses, metal oxide surge arrester (MOSA) and neutral earth resistance on the onset of chaotic ferroresonance and controlling these overvoltages in an autotransformer. The transformer is chosen for study has a rating of 50 MVA, 635.1 kV. The magnetization characteristic of the autotransformer is modeled by a nonlinear polynomial. The core loss is modeled by linear core losses and is shown as a linear resistance. Three state of ferroresonance are studied: (i) onset of chaos due to interrupt in switching action including linear core losses of the transformer, (ii) effect of MOSA on the limiting these oscillation, and (iii) completely controlling effect of neutral earth resistance on the ferroresonance overvoltages. Results of simulation have been derived and shown by nonlinear dynamics method such as bifurcation diagrams, phase plan and time domain simulations.
Comparison perioperative outcomes for endometrial cancer staging via traditional laparotomy, laparoscopy and robotic-assisted surgery: short term initial experience
Authors: KARAGUN Sebnem , KÜKRER Sadık , YÜCEL Oğuz , BAŞER Eralp
Published: June 2023

Abstract:

Aim: To compare the perioperative outcomes of traditional abdominal hysterectomy (TAH), total laparoscopic hysterectomy (TLH), and robotic-assisted hysterectomy (TRH) for endometrial cancer staging, which is the most common gynecological cancer type in Turkey Materials and Methods: Fifty eight women who underwent endometrial cancer staging surgery were performed by a same gynecologic oncologist (E.B.) from February 2015 to May 2016 in Sağlık Bilimleri University Adana Numune Hospital. The primary outcome measure was perioperative complications. The secondary outcome were operative time, postoperative hemoglobin drop, blood transfusion rates and length of the hospital stay. Results: Three groups were identified.(TAH, n=23; TLH, n=10; TRH, n=25) There were no statistically significant differences between the groups in terms of age, parity, grade and depth of myometrial invasion. Overall complication rate was higher in TAH group. TRH and TLH patients were less likely to have renal failure, urinary tract infection and postoperative fever compared to TAH patients. A significantly lower drop in hemoglobin was detected in the TRH group compared with the other groups. (p= 0,797) Mean operative time was longer in TRH cases than TLH and TAH cases (300, 230, 165 minutes, respectively). The median lengths of hospitalization for TAH, TLH, and TRH patients were 5, 3, and 2 days, respectively (p < 0.0001). There were significantly fewer blood transfusion requirements in minimal invasive surgery groups (0/10 case in TLH and 3/25 cases in TRH) than traditional approaches (5/23 cases in TAH ). Conclusions:With our short term initial experience, minimally invasive surgical approach resulted in superior perioperative outcomes. Despite longer operative times, the results from this study suggest that robotic-assisted surgical staging in the management of endometrial cancer is both feasible and associated with a shorter length of hospitalization.
La violencia y su comprensión en los debates en la Cámara de Diputadas y Diputados chilena tras el 18-O
Authors: Soto Velasco Sebastián
Published: June 2023

Este artículo analiza la comprensión de la violencia que aparece del examen de los diarios de sesiones de la Cámara de Diputadas y Diputados entre el 18 de octubre y el 30 de diciembre del año 2019, esto es, en las sesiones que siguieron al así llamado ‘estallido social’. El estudio contextualiza esta temática examinando primero la discusión sobre violencia política en el Chile de la segunda mitad del siglo XX. Luego analiza los debates en el hemiciclo de la Cámara Baja para concluir que mayoritariamente no hubo promoción expresa de la violencia en las fuerzas políticas ahí representadas y, en cambio, sí hubo una amplia defensa de la política como el mecanismo para superar la crisis. Además muestra que tempranamente la vía institucional empezó a converger hacia la discusión constitucional. Por otra parte, el artículo da cuenta de una ambigüedad en la definición del contenido de la violencia, ya sea por inclusión o exclusión de conductas. A ello se suma una ausencia de planteamientos más elaborados al momento de fundamentar la condena a la violencia y examinar sus causas. Esto último se examina críticamente.
Metros siniestrados y preferencias en el plebiscito de entrada en Chile
Authors: Aravena Fuenzalida Sebastián , Fantuzzi Majlis Jorge , Jacob Kunze Emily
Published: June 2023

En Chile, durante el ‘estallido social’ de octubre de 2019, hubo estaciones de la red de metro de Santiago que fueron foco constante de violencia y destrucción, y muchas de ellas resultaron parcial o completamente siniestradas. Este evento histórico —entre otras cosas— dio paso al inicio del proceso constituyente, el cual se votó en el plebiscito de entrada del año 2020 y tuvo las opciones Apruebo o Rechazo a la redacción de una nueva constitución. Dado que las manifestaciones se asociaron a la opción Apruebo, este evento resulta útil para estudiar el efecto que tiene la violencia y la destrucción, en particular de bienes públicos, sobre las votaciones. Específicamente, este artículo estudia el efecto de la exposición a la destrucción de un bien valorado (metro) sobre las preferencias electorales. Se utilizan datos georreferenciados del padrón electoral de la Región Metropolitana para estimar la exposición promedio en una mesa de votación a la destrucción de estaciones de metro. Se constata que en las mesas donde vota gente que está más expuesta a estaciones de metro siniestradas, luego de controlar por participación, preferencias electorales, una proxy a edad y características comunales, la votación por la opción Rechazo en el plebiscito de entrada aumenta. Es decir, en este contexto, la destrucción del metro sería contraproducente para los propósitos de la protesta social. Este efecto es consistente entre distintas especificaciones y, de acuerdo a lo esperado, tiene una magnitud mayor en comunas del sector oriente de la Región Metropolitana.
Queer Criminology, de Carrie L. Buist y Emily Lenning.
Authors: Cano Vir
Published: June 2023

Reseña del libro Queer Criminology, de Carrie L. Buist y Emily Lenning. New York: Routledge, 2022. US$42.95 (ISBN: 9780367760229), 230 pp.
WHICH FACTORS CAN EXPLAIN THE CORRELATION BETWEEN CRYPTOMINING ACTIVITIES AND ENVIRONMENTAL IMPACT? A THEORETICAL ANALYSIS
Authors: Basile Giuseppe , Porcaro Angelo , Pazienza Pasquale , De Lucia Caterina
Published: June 2023

In 2021, a massive relocation of cryptocurrency mining farms from China to Kazakhstan caused one of the largest energy crises in Asia and Europe. This work aims at an understanding of the current debate of cryptocurrency mining activities on the environment. The review highlights: 1. The existence of a positive relationship between cryptomining activities and the deterioration of environmental quality; 2. The contribution of renewable energies and blockchain algorithms to mitigate the above effects. Main results suggest the need for a supranational institution to monitor the current cryptocurrency production to complement current policies by the European Commission and United Nations.
IMPACT OF ENVIRONMENTAL AWARENESS AND ORGANIC CONSUMPTION ON CONSUMER SUBJECTIVE WELL-BEING
Authors: Tamulienė Vilma , Pilelienė Lina
Published: June 2023

During the latter decade, environmental issues have been gaining increasing attention from scholars and practitioners. Contemporary consumers are becoming more informed, and consequently are changing their lifestyles. Being aware of environmental issues, consumers are paying more attention to the harm caused to the environment by consumption, adopting green consumption behaviours, also, start consuming more natural and organic products. However, is such kind of behaviour beneficial to consumers? Has it had any effect on their subjective well-being? Answering these questions is becoming important to marketers producing and selling organic products, as well as to public organizations promoting environmentally friendly lifestyles. This study based on the questionnaire survey, aims to determine the impact of consumer environmental awareness and organic consumption on their subjective well-being.
Warm Jupiters Beyond the Tidal Synchronization Limit may Exhibit a Wide Range of Secondary Eclipse Depths
Authors: Rauscher Emily , Cowan Nicolas B. , Luger Rodrigo
Published: June 2023

With the JWST we can now characterize the atmospheres of longer-orbit planets, but this moves us into a regime where we cannot assume that tidal forces from the star have eroded the planets’ obliquities and synchronized their rotation rates. These rotation vectors may be tracers of formation and evolution histories and also enable a range of atmospheric circulation states. Here we delineate the orbital space over which tidal synchronization and alignment assumptions may no longer apply and present three-dimensional atmospheric models of a hypothetical warm Jupiter over a range of rotation rates and obliquities. We simulate the secondary eclipses of this planet for different possible viewing orientations and times during its orbital, seasonal cycle. We find that the eclipse depth can be strongly influenced by the rotation rate and obliquity through the timing of the eclipse relative to the planet’s seasonal cycle, and advise caution in attempting to derive properties such as albedo or day–night transport from this measurement. We predict that if warm Jupiters beyond the tidal limit have intrinsic diversity in their rotation vectors, then this will manifest itself as dispersion in their secondary eclipse depths. We explore eclipse mapping as a way to uniquely constrain the rotation vector of warm Jupiters but find that the associated signals are likely at the edge of the JWST performance. Nevertheless, as the JWST begins to measure the secondary eclipses of longer-orbital-period planets, we should expect to observe the consequences of a wider range of rotation states and circulation patterns.
Probing the Efficiency of Tidal Synchronization in Outspiralling Double White Dwarf Binaries with LISA
Authors: Biscoveanu Sylvia , Kremer Kyle , Thrane Eric
Published: June 2023

Compact-object binaries including a white dwarf component are unique among gravitational-wave sources because their evolution is governed not just by general relativity and tides, but also by mass transfer. While the black hole and neutron star binaries observed with ground-based gravitational-wave detectors are driven to inspiral due to the emission of gravitational radiation—manifesting as a “chirp-like” gravitational-wave signal—the astrophysical processes at work in double white dwarf (DWD) systems can cause the inspiral to stall and even reverse into an outspiral. The dynamics of the DWD outspiral thus encode information about tides, which tell us about the behavior of electron-degenerate matter. We carry out a population study to determine the effect of the strength of tides on the distributions of the DWD binary parameters that the Laser Interferometer Space Antenna (LISA) will be able to constrain. We find that the strength of tidal coupling parameterized via the tidal synchronization timescale at the onset of mass transfer affects the distribution of gravitational-wave frequencies and frequency derivatives for detectably mass-transferring DWD systems. Using a hierarchical Bayesian framework informed by binary population synthesis simulations, we demonstrate how this parameter can be inferred using LISA observations. By measuring the population properties of DWDs, LISA will be able to probe the behavior of electron-degenerate matter.
Unraveling Joint Evolution of Bars, Star Formation, and Active Galactic Nuclei of Disk Galaxies
Authors: Zee Woong-Bae G. , Paudel Sanjaya , Moon Jun-Sung , Yoon Suk-Jin
Published: June 2023

We aim to unravel the interplay between bars, star formation (SF), and active galactic nuclei (AGNs) in barred galaxies. To this end, we utilize the SDSS DR12 to select a sample of nearby (0.02 < z < 0.06) disk galaxies that are suitable for bar examination (M

r
< −20.12 and inclination ≲53°). We identify 3662 barred galaxies and measure the length and axis ratio of each bar. We invent new bar parameters that mitigate the stellar and bulge mass biases and show, for the first time, that the evolution of non-AGN and AGN-hosting barred galaxies should be tracked using different bar parameters: the bar length for non-AGN galaxies and the bar axis ratio for AGN-hosting galaxies. Our analysis confirms that barred galaxies have a higher specific SF rate than unbarred control galaxies. Moreover, we find a positive correlation of bar length with both the SF enhancement and the centrally star-forming galaxy fraction, indicating the interconnectivity of bars and SF through the bar-driven gas inflow. We also find that, while the AGN fraction of barred galaxies is the same as that of the unbarred control sample, galaxies hosting more massive black holes (BHs) have rounder (i.e., higher axis ratio) bars, implying that the bar is not a cause of AGN activity; rather, AGNs appear to regulate bars. Our findings corroborate theoretical predictions that bars in non-AGN galaxies grow in length, and bars in AGN-hosting galaxies become rounder as BHs grow and eventually get destroyed.
Global Electric Fields at Mars Inferred from Multifluid Hall-MHD Simulations
Authors: Li Shibang , Lu Haoyu , Cao Jinbin , Cui Jun , Ge Yasong , Zhang Xiaoxin , Rong Zhaojin , Li Guokan , Li Yun , Gao Jiawei , Wang Jianxuan
Published: June 2023

In the Martian induced magnetosphere, the motion of planetary ions is significantly controlled by the ambient electric fields, which can be decomposed into three components: the motional, Hall, and ambipolar electric fields. Each of them is dominant in different regions and provides the ion acceleration with a particular effectiveness. Therefore, it is necessary to characterize the global distribution of these electric field components. In this study, a global multifluid Hall-MHD model is applied, which considers the motional, Hall, and ambipolar electric fields in ion transport and magnetic induction equations to self-consistently investigate the morphology of the electric fields in the Martian space environment. Numerical results suggest that the motional electric field is dominant in the upstream of the bow shock and in the magnetosheath along the Z
MSE direction, leading to the formation of the ion plume escape channel. At the bow shock, the ambipolar electric field points outward, to decelerate and deflect the solar wind plasma flow. In the magnetosheath region, the ambipolar and motional electric fields with inward direction tend to reaccelerate the solar wind ions. However, along the magnetic pileup boundary, the Hall electric field pointing outward prevents the solar wind ions from penetrating the Martian induced magnetosphere, which also prevails in the Martian magnetotail region, to accelerate the ions’ tailward escape. This is the first systematic investigation of the global distribution of electric fields, which is helpful to understand the processes of ion acceleration/deceleration and escape within the Mars–solar wind interaction.
Implications for Primordial Black Holes from Cosmological Constraints on Scalar-induced Gravitational Waves
Authors: Cang Junsong , Ma Yin-Zhe , Gao Yu
Published: June 2023

Sufficiently large scalar perturbations in the early universe can create overdense regions that collapse into primordial black holes (PBHs). This process is accompanied by the emission of scalar-induced gravitational waves that behave like an extra radiation component, thus contributing to the relativistic degrees of freedom (N
eff). We show that the cosmological constraints on N
eff can be used to pose stringent limits on PBHs created from this particular scenario as well as the relevant small-scale curvature perturbation (





(
k
)

). We show that the combination of cosmic microwave background (CMB), baryon acoustic oscillation, and Big Bang nucleosynthesis data sets can exclude supermassive PBHs with peak mass M
• ∈ [5 × 105, 5 × 1010] M
⊙ as the major component of dark matter, while the detailed constraints depend on the shape of the PBHs’ mass distribution. A future CMB mission such as CMB-S4 can greatly broaden this constraint window to M
• ∈ [8 × 10−5, 5 × 1010] M
⊙, covering substellar masses. These limits on PBHs correspond to a tightened constraint on





on scales of k ∈ [10, 1022] Mpc−1, much smaller than those probed by direct CMB and large-scale structure power spectra.
A Diverse Population of z ∼ 2 ULIRGs Revealed by JWST Imaging
Authors: Huang J.-S. , Li Zi-Jian , Cheng Cheng , Hou Meicun , Yan Haojing , Willner S. P. , Dai Y.-S. , Zheng X. Z. , Pan J. , Rigopoulou D. , Wang T. , Li Zhiyuan , Liang Piaoran , Esamdin A. , Fazio G. G.
Published: June 2023

Four ultraluminous infrared galaxies (ULIRGs) observed with JWST/NIRcam in the Cosmos Evolution Early Release Science program offer an unbiased preview of the z ∼ 2 ULIRG population. The objects were originally selected at 24 μm and have strong polycyclic aromatic hydrocarbon emission features observed with Spitzer/Infrared Spectrometer. The four objects have similar stellar masses of ∼1011
M
⊙ but otherwise are quite diverse. One is an isolated disk galaxy, but it has an active nucleus as shown by X-ray observations and by a bright point-source nucleus. Two others are merging pairs with mass ratios of 6–7:1. One has active nuclei in both components, while the other has only one active nucleus: the one in the less-massive neighbor, not the ULIRG. The fourth object is clumpy and irregular and is probably a merger, but there is no sign of an active nucleus. The intrinsic spectral energy distributions for the four active galactic nuclei in these systems are typical of type-2 QSOs. This study is consistent with the idea that even if internal processes can produce large luminosities at z ∼ 2, galaxy merging may still be necessary for the most luminous objects. The diversity of these four initial examples suggests that large samples will be needed to understand the z ∼ 2 ULIRG population.
Planetesimal Initial Mass Functions Following Diffusion-regulated Gravitational Collapse
Authors: Gerbig Konstantin , Li 李 Rixin 日新
Published: June 2023

The initial mass function (IMF) of planetesimals is of key importance for understanding the initial stages of planet formation, yet theoretical predictions so far have been insufficient in explaining the variety of IMFs found in simulations. Here, we connect diffusion-tidal-shear limited planetesimal formation within the framework of a Toomre-like instability in the particle midplane of a protoplanetary disk to an analytic prediction for the planetesimal IMF. The shape of the IMF is set by the stability parameter Q
p, which in turn depends on the particle Stokes number, the Toomre Q value of the gas, the local dust concentration, and the local diffusivity. We compare our prediction to high-resolution numerical simulations of the streaming instability and planetesimal formation via gravitational collapse. We find that our IMF prediction agrees with numerical results and is consistent with both the paradigm that planetesimals are born big and the power-law description commonly found in simulations.
Constraining Fundamental Parameters in Modified Gravity Using Gaia-DR2 Massive White Dwarf Observations
Authors: Kalita Surajit , Uniyal Akhil
Published: June 2023

Various experiments and observations have led researchers to suggest different bounds on fundamental constants like the fine-structure constant and the proton-to-electron mass ratio. These bounds differ mostly due to the energy scale of the systems where the experiments are performed. In this article, we obtain bounds on these parameters in the modified gravity context using Gaia-DR2 massive white dwarf data and show that the bounds alter as the gravity theory changes. This exploration not only indicates strong support for nonnegligible influences of modified gravity in astrophysical scenarios in high-density regimes but also reveals that the bounds on the fundamental parameters can be much stronger under alternate gravity theories.
The FUSE Spectrum of HD 215441 (Babcock’s Star)
Authors: Monier Richard
Published: June 2023

The analysis of the far-ultraviolet spectrum of the B9 Si HD 215441 recorded by the LWRS camera on board FUSE reveals a large deficiency of the flux when compared to the non-magnetic late B-type star HD 182308 of similar fundamental parameters. Most features can be identified using spectrum synthesis. The FUSE spectrum of HD 215441 contains mostly blends of low-excitation lines of Ti ii, Mn ii, Cr ii, Fe ii, a few lines of Ti iii, Cr iii and Fe iii and interesting lines of C iii, P ii, S ii and Cl i.
Sex Differences in Clinical Manifestations of Hospitalized Patients With Eosinophilic Granulomatosis With Polyangiitis: A Retrospective Cohort Study
Authors: Liu Suying , Han Linna , Li Mengtao , Tian Xinping , Zeng Xiaofeng , Lu Yuewu , Wang Li , Zhang Fengchun
Published: June 2023

Objective

To investigate the effect of sex on the clinical characteristics, prognoses, and therapeutic selection of eosinophilic granulomatosis with polyangiitis (EGPA).

Methods

We retrospectively enrolled 170 hospitalized patients with EGPA who were managed at our hospital between 2007 and 2020. Detailed clinical data were reviewed. Manifestations, prognoses, treatments, and outcomes were compared between female and male patients. Cumulative survival rates were calculated using Kaplan-Meier curves.

Results

In this cohort, the male to female ratio was 1.4:1. Renal involvement was more frequent in male patients, including serum creatinine elevation, and proteinuria > 1 g/24 h. Severe gastrointestinal (GI) involvement occurred more commonly in male patients. Female patients had longer allergy duration and higher ratios of allergic rhinitis and asthma. Sex differences in proteinuria > 1 g/24 h, serum creatinine > 150 mmol/L, severe GI involvement, and weight loss were more significant in patients aged ≤ 55 years than those in patients aged > 55 years. Overall, male patients had a higher Birmingham Vasculitis Activity Score and a worse prognosis assessed at diagnosis, with a lower proportion of 1996 Five Factor Score = 0 than females. Regarding treatment selection, methylprednisolone pulse and cyclophosphamide were administered more frequently to male patients. All-cause mortality and cumulative survival rates were comparable between the sexes.

Conclusion

In this Chinese EGPA cohort, male and female patients showed distinct disease phenotypes. Male patients with EGPA had a higher disease activity at diagnosis and required more aggressive treatment for remission induction.
A comprehensive review of graph convolutional networks: approaches and applications
Authors: Xu Xinzheng , Zhao Xiaoyang , Wei Meng , Li Zhongnian
Published: June 2023

Convolutional neural networks (CNNs) utilize local translation invariance in the Euclidean domain and have remarkable achievements in computer vision tasks. However, there are many data types with non-Euclidean structures, such as social networks, chemical molecules, knowledge graphs, etc., which are crucial to real-world applications. The graph convolutional neural network (GCN), as a derivative of CNNs for non-Euclidean data, was established for non-Euclidean graph data. In this paper, we mainly survey the progress of GCNs and introduce in detail several basic models based on GCNs. First, we review the challenges in building GCNs, including large-scale graph data, directed graphs and multi-scale graph tasks. Also, we briefly discuss some applications of GCNs, including computer vision, transportation networks and other fields. Furthermore, we point out some open issues and highlight some future research trends for GCNs.
Muti-frequency extended sampling method for the inverse acoustic source problem
Authors: Sun Jiyu , Zhang Jitao
Published: June 2023

We consider the reconstruction of the compact support of an acoustic source given multiple frequency far field data. We propose a multi-frequency extended sampling method (MESM). The MESM computes the solutions of some ill-posed integral equations and constructs an indicator function to image the source. The behavior of the indicator function is justified. The method is fast and easy to implement. Various numerical examples are presented to show the effectiveness of the MESM for both frequency-independent and frequency-dependent sources.
Subclasses of spiral-like functions associated with the modified Caputo's derivative operator
Authors: Salah Jamal , Rehman Hameed Ur , Al Buwaiqi Iman , Al Azab Ahmad , Al Hashmi Maryam
Published: June 2023

In this paper, the authors apply the modified Caputo's derivative operator, to introduce two new subclasses of spiral-like functions, namely the spiral-starlike functions and spiral-convex functions. In addition to this we, elaborate on the inclusion properties of these subclasses by considering the generalization of the Mittag-Leffler function and its integral transformation. Consequently, we obtain the subordination result for the functions in the class of spiral-like functions.
Global regularity to the 3D Cauchy problem of inhomogeneous magnetic Bénard equations with vacuum
Authors: Wang Wen , Zhang Yang
Published: June 2023

This paper deals with the Cauchy problem of 3D inhomogeneous incompressible magnetic Bénard equations. Through some time-weighted a priori estimates, we prove the global existence of strong solution provided that the upper boundedness of initial density and initial magnetic field satisfy some smallness condition. Furthermore, we also obtain large time decay rates of the solution.
The mental health of medical students in Daegu during the 2020 COVID-19 pandemic
Authors: Yeo Sanghee , Choi Eunkyung , Kim Jungmin , Won Seunghee
Published: June 2023

Purpose: In February 2020, the first outbreak of coronavirus disease 2019 (COVID-19) occurred in Daegu, South Korea, and confirmed cases increased sharply, sparking intense anxiety among residents. This study analyzed the data of a mental health survey on students enrolled at a medical school located in Daegu in 2020.Methods: An online survey was administered to 654 medical school students (pre-medical course: 220 students, medical course: 434 students) from August to October 2020, with 61.16% (n=400) valid responses. The questionnaire included items about COVID-19-related experiences, stress, stress resilience, anxiety, and depression.Results: Of the survey participants, 15.5% had experienced unbearable stress, with the most significant stress factors (in descending order) being limited leisure activities, unusual experiences related to COVID-19, and limited social activities. Approximately 28.8% reported psychological distress, and their most experienced negative emotions were helplessness, depression, and anxiety (in descending order). The mean Beck Anxiety Inventory and Beck Depression Inventory-II scores were 2.44 and 6.08, respectively, both within normal ranges. Approximately 8.3% had mild or greater anxiety, and 15% had mild or greater depression. For students under psychological distress, the experience of unbearable stress before COVID-19 affected anxiety (odds ratio [OR], 0.198; p<0.05), and having an underlying condition affected depression (OR, 0.190; p<0.05). With respect to their psychological distress during August–October 2020 compared with that during February–March 2020 (2 months from the initial outbreak), anxiety stayed the same while depression increased and resilience decreased at a statistically significant level.Conclusion: It was found that some medical students were suffering from psychological difficulties related to COVID-19, and there were several risk factors for them. This finding suggests that medical schools need to not only develop academic management systems but also provide programs that can help students manage their mental health and emotions in preparation for an infectious disease pandemic.
Instructor factors associated with medical students’ lecture evaluation: a longitudinal analysis
Authors: Rhie Jeongbae , Chae Yoo Mi , Park Seok-gun , Kim Jae-hyun , Kim Hong Ja
Published: June 2023

Purpose: This study identified factors that affect lecture evaluation by analyzing sophomores from Dankook University, examining each cluster’s characteristics, and comparing differences among trajectories.Methods: This study identified factors that affect lecture evaluation by analyzing sophomores from Dankook University, examining each cluster’s characteristics, and comparing differences among trajectories.Results: The lecture evaluation score decreased as the teaching hours per instructor in a year increased by an hour, and the number of instructors per lecture increased by one individual. During trajectory analysis, the first trajectory had lower lecture evaluation scores overall but relatively high appropriateness of the textbook and punctuality of class, whereas the second trajectory had higher lecture evaluation scores overall for all four items.Conclusion: The two trajectories showed differences in teaching methods (understanding of lecture content and usefulness of the lecture) rather than in external factors (appropriateness of the textbook and punctuality of class). Therefore, to improve lecture satisfaction, enhancing instructors’ instructional competencies through lectures and adjusting the teaching hours by assigning an adequate number of instructors per lecture are recommended.
Medical education program implementation experience in an elective course: a case study in South Korea
Authors: Kim Yu-Ra , Yoo Seung-Min , Park Hye-Jin
Published: June 2023

Purpose: This study was conducted to examine the results of designing and implementing a teaching program for medical education as the elective course for 4th-year students of medical course.Methods: In order to design the teaching program for medical education as an elective course, we conducted literature review, five medical education experts were interviewed, and the literature required in the design process was reviewed. A developing teaching program was implemented as an elective course in a medical school of Korea, and 4th-year students of medical course participated in the program.Results: In the elective course, the medical education program process competencies were derived into three categories: theoretical educational knowledge, teaching competency, and research competency for education. Moreover, instructional materials were developed to help students achieve these competencies. And project-based learning strategy was selected and implemented for 4th-year students in medical course, and positive satisfaction was confirmed.Conclusion: As a study designed and implemented in a medical education program in a medical school in Korea, it is expected to be helpful when introducing medical education to undergraduate students or developing a medical education program to strengthen the teaching capacity of residents.
Stochastic theory of charge dynamics and recombination in defect clusters in bulk silicon
Authors: Abramavicius Darius
Published: June 2023

Various types of defect clusters are generated in bulk Si-based high-energy particle detectors. They become either recombination centres or charge trapping centres. Populated trapping centres create internal fields which may affect the dynamics and recombination of remaining free charges. In the semiclassical regime, the charge dynamics can be described by the Boltzmann equation. In this paper, the stochastic description is presented as an alternative to a direct solution of the Boltzmann equation approach. It is demonstrated that the hole dynamics can be described in the overdamped regime in both light-hole and heavy-hole cases. Electrons have to be described by including ballistic components. The theory allows an efficient simulation of the electron and hole dynamics in the vicinity of a defect cluster and demonstrates that local trapping centres are the major components enabling fast charge recombinations. The dipolar type internal fields of permanently trapped charges only weakly influence the charge recombination kinetics.
An Immersive and Interactive Setting to Practice Emotional Intelligence
Authors: Bertagni Barbara , Gardner Roxane , Minehart Rebecca , Salvetti Fernando
Published: June 2023

Emotions are an essential part of being human. Whether we experience them deeply, overcontrol them, or let them overwhelm us, emotions have a big influence on our experiences, our performance, and our quality of life. Bing emotional intelligent helps us make better decisions, forge stronger relationships, and overcome challenging situations. To improve emotional intelligence,we designed an immersive setting where participants interact with a variety ofsituations digitally displayed with fully cognitive and emotional involvementpracticing empathy, self-awareness, and self-regulation. We work at the inter-section of  thinking  and  feeling,  increasing  participants’ awareness about  theway the mind works, experimenting the intensity of the emotions in the bodyand the impact on the behavior. Scientific evidence from neuroscience showsthat as human beings, we are not passive receivers of sensory input, but ourbrain constructs meaning actively from sensory input, beliefs, past experiences,and culture. In our brains, thoughts and feelings are highly interconnected: wefeel what our brain believes, so reflection on emotion is crucial to make senseof our experiences and regulate our feelings. It’s not about controlling emo-tions, but rather about connecting with our emotional life.
Le Bestiaire d’amour de Gustave Flaubert (1)
Authors: Windels Loïc
Published: June 2023

« Désirer, c’est tuer ». Voilà ce qu’un ministère de la Prévention fera bientôt imprimer sur le bandeau accompagnant les ventes du second des Trois contes. Du reste, il est certain que sa carte du Tendre empiète quelque peu sur les géographies du Cruel. Qui se penche sur son bestiaire en relève généralement assez vite le caractère symbolique et la couleur pré-freudienne. Flaubert ferait, avec le légendaire médiéval, ce que Freud peu après avec la mythologie grecque. Ces remarques et quelques autres ont parfois été faites1, et nul doute qu’elles ne soient familières à l’amateur de cette prose dense et suggestive qu’est La Légende de Saint Julien L’Hospitalier. Aussi le présent article (comme celui qui le suivra) voudrait-il moins rouvrir à nouveaux frais un débat déjà bien nourri que l’aborder de façon quelque peu différente : en choisissant, parmi les épisodes où les animaux tiennent un rôle prépondérant, ceux qui semblent s’apparier pour former – à sauts et à gambades – un récit sous l’histoire, et ceux qui, en même temps, paraissaient désirer qu’on les confronte à d’autres textes (reste de l’œuvre, bestiaires médiévaux, histoires naturelles anciennes et modernes, mythographies) et à quelques images.