bluuebunny/crossref_metadata_2025_split huggingface dataset:
Phototoxicity and cell passage affect intracellular reactive oxygen species levels and sensitivity towards non-thermal plasma treatment in fluorescently-labeled cancer cells
Authors: Verswyvel Hanne , Deben Christophe , Wouters An , Lardon Filip , Bogaerts Annemie , Smits Evelien , Lin Abraham 
Published: April 2023

Abstract
Live-cell imaging with fluorescence microscopy is a powerful tool, especially in cancer research, widely-used for capturing dynamic cellular processes over time. However, light-induced toxicity (phototoxicity) can be incurred from this method, via disruption of intracellular redox balance and an overload of reactive oxygen species (ROS). This can introduce confounding effects in an experiment, especially in the context of evaluating and screening novel therapies. Here, we aimed to unravel whether phototoxicity can impact cellular homeostasis and response to non-thermal plasma (NTP), a therapeutic strategy which specifically targets the intracellular redox balance. We demonstrate that cells incorporated with a fluorescent reporter for live-cell imaging have increased sensitivity to NTP, when exposed to ambient light or fluorescence excitation, likely through altered proliferation rates and baseline intracellular ROS levels. These changes became even more pronounced the longer the cells stayed in culture. Therefore, our results have important implications for research implementing this analysis technique and are particularly important for designing experiments and evaluating redox-based therapies like NTP.
Strong magnetic anisotropy in PrRu2Ga8 and PrCo2Al8 single crystals
Authors: Xiao (肖静静) Jing-Jing , Wang (王翠香) Cui-Xiang , Yan (闫大禹) Da-Yu , Li (李勇) Yong , Feng (冯海) Hai L , Liu (刘来君) Lai-Jun , Shi (石友国) You-Guo 
Published: April 2023

Abstract
Single crystals of LnRu2Ga8 and LnCo2Al8 (Ln = La and Pr) were grown using a Ga/Al self-flux method. An orthorhombic CaCo2Al8-type structure with space group Pbam (No.55) of them was identified by x-ray diffraction. LaRu2Ga8 and LaCo2Al8 are Pauli paramagnetic down to 2 K, while PrRu2Ga8 and PrCo2Al8 show antiferromagnetic (AFM) order at 2.5 and 5 K, respectively. Strong magnetic anisotropy in PrRu2Ga8 and PrCo2Al8 single crystals was found by an anisotropic magnetic measurement. The field-induced FM state was observed in both PrRu2Ga8 and PrCo2Al8 for H||c. However, in the case of H⊥c, the AFM state is robust. The strong magnetic anisotropy in PrRu2Ga8 FM and PrCo2Al8 is due to their anisotropic magnetic interactions that FM interactions are dominant in the case of H||c while AFM interactions for H⊥c.
Effect of composite vortex beam on a two-dimensional gain assisted atomic grating
Authors: Wahab Abdul , Abbas Muqaddar , Sanders Barry C 
Published: April 2023

Abstract
We propose an atomic grating based on an electromagnetically induced transparency phenomenon that switches between zeroth-order diffraction to a distinct higher-order diffraction pattern by driving a planar gaseous medium of a four-level tripod (

⋔

) atoms with three laser beams: modulation of standing wave control beam propagating nearly perpendicular to the planar medium, while vortex and weak plane probe beams directed perpendicular to the medium. We numerically investigate the behavior of the amplitude, phase modulations, and probe field diffraction intensities of different orders by the variation of the field detunings and orbital angular momentum number of the composite vortex light beam. Specifically, in the off-resonant case, the interplay between a square lattice of the control and an additional spatial variation of the vortex beam allows the emergence of higher diffraction orders and variable gain due to double transparency windows in this complex optical system. We believe that our proposed scheme might be useful in optical memory devices via the storage of information to diffraction orders of the atomic grating.
Purity in the QTMS radar
Authors: Hosseiny Seyed Mohammad , Norouzi Milad , Seyed-Yazdi Jamileh , Irannezhad Fatemeh 
Published: April 2023

Abstract
In this paper, we analyze the purity and decoherence effects in quantum two-mode squeezed (QTMS) radar as a function of the squeezing parameter and temperature, using quantum information processing tools. The squeezing parameter is an important key to improving the performance of the QTMS radar. We investigate the response to the squeezing parameter controlling to system state of the QTMS radar. In this work, we deal with the QTMS radar with two cases of the transmitted signal, the presence or the absence of the target. The squeezing parameter controls the power of the generated signal and idler, the correlation between signal and idler, as well as the coherence and state of the system. We show that the decoherence effects are low at low temperatures, low squeezing parameters, and low power. In addition, we demonstrate that the purity and, consequently, the coherence of the QTMS radar are better when the target is absent than when it is present. However, the coherence and purity are maintained at high temperatures in both cases. In addition, by calculating the entropy of formation as a tool to investigate the qualitative behavior of entanglement in QTMS radar, we show that the behaviors of purity and entropy are similar. Finally, we show that the proportion of received photons in the QTMS radar is an important factor in improving the radar performance.
Pulsed laser deposited Dy and Ta doped hafnium- zirconium oxide thin films for the high-k applications
Authors: Sharma Urvashi , Asif Mohd , Varma Vishnu M , Kumar Gulshan , Mishra Sachin , Kumar Ashok , Thomas Reji 
Published: April 2023

Abstract
Hf0.6Zr0.2Dy0.1Ta0.1O2 thin films were deposited on Si (100) at 600°C using pulsed laser deposition for gate oxide applications because of the compatibility of the elements with the CMOS process. Special emphasis was placed on the properties of Hf0.6Zr0.2Dy0.1Ta0.1O2 thin films within metal-insulator-semiconductor (MIS) structure (Pt/Hf0.6Zr0.2Dy0.1Ta0.1O2/Si) for high-k application in logic devices. The capacitance-voltage and current-voltage measurements are used to determine the electrical characteristics of MIS capacitor structures. The minimum equivalent oxide thickness and maximum dielectric constant of the thin films obtained were as low as 1.2 nm and as high as 35.7 at 10 kHz, respectively. Results on the gate stacks obtained based on the MIS structures appear to be promising as the high-k material for logic devices.
Novel constraints on fifth forces and ultralight dark sector with asteroidal data
Authors: Tsai Yu-Dai , Wu Youjia , Vagnozzi Sunny , Visinelli Luca 
Published: April 2023

Abstract
We study for the first time the possibility of probing long-range fifth forces utilizing asteroid astrometric data, via the fifth force-induced orbital precession. We examine nine Near-Earth Object (NEO) asteroids whose orbital trajectories are accurately determined via optical and radar astrometry. Focusing on a Yukawa-type potential mediated by a new gauge field (dark photon) or a baryon-coupled scalar, we estimate the sensitivity reach for the fifth force coupling strength and mediator mass in the mass range m ≃ (10-21-10-15) eV, near the “fuzzy” dark matter region. Our estimated sensitivity is comparable to leading limits from equivalence principle tests, potentially exceeding these in a specific mass range. The fifth force-induced precession increases with the orbital semi-major axis in the small m limit, motivating the study of objects further away from the Sun. We also demonstrate that precession tests are particularly strong in probing long-range forces which approximately conserve the equivalence principle. We discuss future prospects for extending our study to more than a million asteroids, including NEOs, main-belt asteroids, Hildas, and Jupiter Trojans, as well as trans-Neptunian objects and exoplanets.
Tunable multi-outlet single photon quantum router in an optomechanical system
Authors: Wang Qiong , Li Wen-Juan 
Published: April 2023

Abstract
An experimentally accessible tunable single-photon multi-channel quantum router is investigated in a system consisting of an optomechanics cavity coulomb coupling to a nano-mechanical resonator. The router can extract a single-photon from the coherent input signal directly modulate into three different output channels, and the output probability is all close to 1. More important, the two output signal frequencies can be selected by adjusting Coulomb coupling strength. We also demonstrate the vacuum and thermal noise will be insignificant for the optical performance of the single-photon router at temperature of the order of 20 mK. Our proposal may have paved a new avenue towards multi-channel router and quantum network.
Orbital angular momentum induced asymmetric diffraction grating in quantum dot molecule
Authors: Wang Weiyong , Niu Fanfan , Qiao Na 
Published: April 2023

Abstract
In this paper, we study the Fraunhofer diffraction pattern in a four-level quantum dot nanostructure. The quantum dot interacts with two weak probe and signal laser fields and two strong coupling lights where one of them is a two-dimensional standing wave field. We study the Fraunhofer diffraction pattern of the transmitted probe light when the coherent driving light becomes plan wave or Laguerre Gaussian (LG) vortex light. We found that by controlling the relative phase of the applied lights and orbital angular momentum (OAM) of LG light, the Fraunhofer diffraction pattern can be controlled and the probe energy transfer from zero order to the higher orders, respectively. Moreover, we realized that by controlling the OAM number of the vortex light the asymmetric diffraction pattern is possible.
Reionizing Islands with Inhomogeneous Recombinations
Authors: Zhu Runyu , Xu Yidong , Yue Bin , Chen Xuelei 
Published: April 2023

Abstract
Observations are beginning to constrain the history of the epoch of reionization (EoR). Modeling the reionization process is indispensable to interpret the observations, to infer the properties of ionizing sources, and to probe the various astrophysical processes from the observational data. Here we present an improved version of the semi-numerical simulation islandFAST, by incorporating inhomogeneous recombinations and a corresponding inhomogeneous ionizing background, and simulate the reionization process of neutral islands during the late EoR. We find that the islands are more fragmented in models with inhomogeneous recombinations than the case with a homogeneous recombination number. In order to investigate the effects of basic assumptions in the reionization modeling, we compare the results from islandFAST with those from 21cmFAST for the same assumptions on the ionizing photon sources and sinks, to find how the morphology of the ionization field and the reionization history depend on the different treatments of these two models. Such systematic bias should be noted when interpreting the upcoming observations.
Coverage Probability Analysis of Amplify and Forward Based Multi-user Hybrid Satellite Terrestrial Relay Network
Authors: Khadanga Swarnima , Kashyap Milan , Verma Kalyani , Sudharsan P 
Published: April 2023

Abstract
This article examines coverage probability for a multi-user hybrid satellite terrestrial relay network (HSTRN) with opportunistic user scheme. Better quality information are gathered via HSTRN-based networks for users on the ground. Simultaneous satellite signals are amplified by relays and relayed to terrestrial users with the highest instantaneous signal-to-noise ratio (SNR) on an individual channel. Analytically approximate coverage probability is derived for fixed and variable gain relaying. The multi-user relay network is analyzed under Nakagami-m fading, and Rician shadowed fading. We perform simulation and analytical validation to validate our study and compare the performance of fixed and variable gain relaying.
A Survey on Enabling Technologies and Recent Advancements in 6G Communication
Authors: Srikanth Kamath H , Bhandari Aaryan , Shekhar Shashank , Ghosh Sagnik 
Published: April 2023

Abstract
The growth of IoT and data-driven applications has caused network evolution with a demand for high internet speeds capable of handling data-intensive operations and high-performance computing in real-time. Despite massive strides in the past decade to achieve low-latency ultra-reliable network connections, by 2030, 5G technology will be unable to keep pace with emerging applications like unmanned autonomous vehicles, brain-computer interactive devices, extended reality (XR), ubiquitous AI, Internet of Everything and global network coverage. Subsequently, there will arise a need to transcend from 5G to 6G. 6G is being touted as the next giant leap forward to support ultra-fast intelligent networks resulting in speculations about the various use cases which will adopt 6G. We discuss the enabling technologies and recent advancements in the development of 6G. We talk about the most advanced and promising technologies that will revolutionise 6G communication. Furthermore, we give an objective analysis of these technologies and possible hindrances in their adoption.
Mobile Application based Indoor Positioning and Navigational System using Dijkstra’s Algorithm
Authors: Deiva Nayagam R. , Selvathi D. , Geeta R. , Gopinath D. , Sivakumar G. 
Published: April 2023

Abstract
This paper offers a method for developing an efficient indoor navigation system with the consideration of the shortest path between source and destination. The challenge for the indoor navigation system is to provide personal navigation information and the optimal route. Applications of indoor navigation systems need consideration of the Shortest Path problem. The shortest pathways can be used to find solutions to the current problems using Dijkstra’s algorithm. Based on the issue with the indoor navigation system, the shortest way and the best path are calculated. This is crucial to navigation systems since it can aid in making wise decisions and time-saving choices. The primary goal is to obtain the implementation at an affordable price. These applications and services are made available indoors, where the GPS does not function. The goal of indoor navigation is to direct users inside buildings. Dijkstra’s algorithm for locating objects and for moving along the shortest path in an indoor setting are examined in this work. Experimental results of indoor navigation systems were carried out on my organization’s indoor environment and verified the applicability of the presented Indoor Navigation System. The techniques provided include map digitization, locating a user, and choosing the shortest route. This is accomplished through a mobile application created for the Android operating system, and indoor navigation is carried out by using Dijkstra’s algorithm. The proposed method is implemented in our college academic block, and the experimental results show that our navigation method is feasible and effective. To verify the reliability of the algorithm, the proposed application fulfils the criteria of an indoor navigation system to produce the optimal route between two points when applied to a map of our college’s indoor terrain.
Design of Compact 2 × 2 Mimo Antenna for 5G Wireless Application
Authors: Pavithra R. , Thilagavathi S. , Sathiyapriya T. , Sudhakar R. 
Published: April 2023

Abstract
In this paper, a compact 2 X 2 MIMO antenna is proposed for 5G wireless applications. The proposed 2 X 2 MIMO antenna is designed using four compact circular monopole antennas which are optimized to operate from 3.6 to 57.7 GHz. The antenna structure consists of four orthogonal antenna elements of size 21 mm × 29 mm, which are spaced 1mm apart from each other. The antenna and the defective ground plane are placed on the same side of the substrate. It is demonstrated that MIMO system with 4- antennas produce very good isolation (>-20 dB) without using any additional isolating or decoupling techniques and antenna efficiency is also high. The antenna is simulated using CST Microwave Studio. The simulation results of the proposed MIMO antenna gives good radiation efficiency, Envelope Correlation Coefficient (ECC), improved bandwidth of 54.1 GHz, and optimum radiation characteristics. The proposed compact 2 X 2 MIMO antenna is suitable to operate under 5G wireless applications from 3.6 to 57.7 GHz. The applications of the proposed antenna also include broadcasting satellites, Modern radars, a 5GHz Wi-Fi channel, TV broadcasting satellites and microwave devices
Design of Dual-Band MIMO antenna for 5G applications
Authors: Premalatha G. , Prasannakumar M. , Jessintha D. , Sivagnanam S. 
Published: April 2023

Abstract
MIMO antenna are widely used in many areas for the great reception of signals. In transport industry for the development of automation and for the advancement they required efficient and high gain antenna transceivers. In this paper, single-element dual band antenna is used for 5G Vehicle to Everything (5G-V2X) application but the design will be enhanced to six-element for full coverage, on analysing single element. Three antennas of same structure as specified in this paper are arranged in a single substrate as a shape of triangle of combining all three, and similar structure is made in another substrate such that both are separated by a strip like structure and arranging both substrates that both triangularly arranged substrate forming a hexagonal structure from the top view. These will increase the coverage over 360° surrounds these will increase the gain over 9dB at mm-Wave range.
Energy optimization mechanism using metastable-smart grid (MSSG)
Authors: Kannan S. , Pugazhendiran P. , Rishi Keshav N. , Arul deva A. , Suresh kumar K. , Ananth kumar T. 
Published: April 2023

Abstract
The Smart Grid model uses energy from renewable sources and utilities to manage energy in a way that ensures uninterrupted power supply for users. In order to operate independently from the main power grid, a DC micro grid is a small power system that generates and uses its own DC electricity. Solar panels, fuel cells, and wind turbines are the most typical power sources for DC micro grids, with batteries used to store any extra energy. The independence of the power grid is one feature of a DC micro grid that promotes increased lifetime. Building owners have more latitude to pursue their sustainability goals since they have control over the production, delivery, and consumption of power. Super-twisting provides a dependable method and an effective instrument for the control of uncertain nonlinear systems by addressing the basic flaws of conventional sliding mode control, notably large control effort and chattering. Fractional order controllers provide greater design freedom than conventional integer order controllers. The purpose of this work was to create a metastable-smart grid(MSSG) user end model that could dynamically manage and optimize energy produced by renewable energy sources and the utility to ensure that customers always have access to electricity. Controlling these many power sources using MSSG and delivering energy in accordance with each user’s unique power plan is the responsibility of the central control unit of the distribution grid. The supply is only switched to solar by the central control unit if a user’s power consumption falls below a predetermined threshold. Giving consumers with less purchasing power more clout as a result.
Design of Deep Multi-Scale CNN for Scene Deblurring
Authors: Pandey Aryan , Ananya B , Verma Vinayak , Rohith G 
Published: April 2023

Abstract
Dynamic Scene deblurring is a difficult low-level vision problem induced by camera shaking, object motion, and other causes. Since the blur movements of moving objects and the backdrop in dynamic scenarios are different, segmentation of the motion blur is necessary for deblurring each blur motion precisely. In contrast to this limiting assumption, we tackle the issue of deblurring broad dynamic images with many moving objects and camera motion in the current study. A multilayer convolutional neural network (CNN) based video image deblurring technique is suggested as a solution to the issue that inter-frame information and spatiotemporal are easily lost during restoration of a digital video/image that has become blurred. We use the multiscale CNN-built adaptive Laplacian regularisation term to the problem of restoring images from videos. First, we provide a new restoration model by mixing several regularises, in particular by combining NLM regularise with the multiscale CNN, to extract redundant information from video images’ self-similarity. We utilised a basic gradient descent technique to solve the model for restoring images from videos. The experimental findings demonstrate the effective deblurring effect and some noise resilience of our approach.
An approach to pseudocoloring of grey scale image using deep learning technique
Authors: Srivastava Kshitija , Gogia Saksham , Rohith G 
Published: April 2023

Abstract
Image pseudo colorization is the process of adding RGB colours to grayscale images to make them more appealing. Deep learning technology has made progress in the field of automatic colouring. In general, we divide automatic colouring methods into three groups based on where the colour information comes from: colouring based on what you already know and on reference pictures. The colouring method can meet the needs of most users, but there are some drawbacks. For example, users can’t colour different reference graphs for the different things in a picture. In order to solve this problem by recognising several objects and background regions in a picture and combine the final colouring results, the proposed method uses the deep learning approach that regional mixed colours be used more and the method be mastered by using deep learning. Qualitative results (visual perception) validate the effectiveness of pseudocolorisation which split into foreground colour based on a reference picture and background colour based on prior knowledge. Quantitative results such as Structural Similarity (SSIM), Peak Signal to Noise Ratio (PSNR), Image Matching Error and Entropy validates the effectiveness of strong edge strength, visually appealing quality and retention of maximum information without disturbing quality of image.
A Deep Learning approach for fire object detection in Autonomous vehicles
Authors: Bishoyi Aum Shiva Rama , Goel Raghav , Batra Vansh , Jacob Kiran Thomas , Agarwal Shashwat , Sriram M , Abhijit Chunduru Sri , Rohith G 
Published: April 2023

Abstract
In recent years, object detection has emerged as a crucial component of many popular consumer applications, including video surveillance and security systems, mobile text recognition, etc. The potential for autonomous vehicles (AVs) to increase driver satisfaction and decrease fatalities and injuries in traffic accidents has attracted a lot of interest in recent years. Object detection is critical to autonomous driving infrastructure. Autonomous automobiles need precise environmental interpretation to drive safely. Locating and identifying these things in real time is a significant challenge, but deep learning-based object detectors play a crucial role in this endeavour. In this paper, a prototype of the autonomous vehicle controlled by a microcontroller for fire object detection is proposed. Localization of the fire object in a picture using the deep learning model is performed using the live video feed from the camera installed on the prototype remote-operated car. The gadget may also pick up on specifics and alert the user. Experimental findings showed that the suggested prototype with deep learning architecture recognised and alerted devastating fires with high speed and accuracy in diverse weather conditions—sunny or overcast, day or night.