bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spectral phase effects in above threshold ionization
Authors: Harris A L 
Published: March 2023

Abstract
We present theoretical studies of above threshold ionization (ATI) using sculpted laser pulses. The time-dependent Schrödinger equation is solved to calculate the ATI energy and momentum spectra, and a qualitative understanding of the electron motion after ionization is explored using the simple man’s model and a classical model that solves Newton’s equation of motion. Results are presented for Gaussian and Airy laser pulses with identical power spectra, but differing spectral phases. The simulations show that the third order spectral phase of the Airy pulse, which can alter the temporal envelope of the electric field, causes changes to the timing of ionization and the dynamics of the rescattering process. Specifically, the use of Airy pulses in the ATI process results in a shift of the Keldysh plateau cutoff to lower energy due to a decreased pondermotive energy of the electron in the laser field, and the side lobes of the Airy laser pulse change the number and timing of rescattering events. This translates into changes to the high-order ATI plateau and intra- and intercycle interference features. Our results also show that laser pulses with identical carrier envelope phases and nearly identical envelopes yield different photoelectron momentum distributions, which are a direct result of the pulse’s spectral phase.
Study of digital and analog resistive switching memories based on methylammonium lead iodide (MAPbI3) perovskite by experiments and DFT calculations
Authors: Ngo Tung Thanh , Tu Thi Doan Uyen , Vo Quyen Truc Thi , Huynh Truong Lam , Vu Nam Hoang , Ta Hanh Kieu Thi , Thi Mai Hoa Le , Kawazoe Yoshiyuki , Nguyen Phuong Tuyet , Pham Ngoc Kim 
Published: March 2023

Abstract
In this study, a thin film of methylammonium lead iodide (MAPbI3) was employed as the switching layer in the metal/MAPbI3/FTO devices. Two metals, Ag and Cr, were used as active and inert top electrodes to govern the hysteresis effect of memory devices, respectively. While the Cr/MAPbI3/FTO device displayed an analog resistive switching (RS) behavior and a comparatively low ON/OFF ratio of 10, the Ag/MAPbI3/FTO structure displayed digital bipolar RS and a high ON/OFF ratio of 102. The density functional theory simulations suggest that these various behaviors may be caused by variations in the mutual interaction between the iodine vacancy defect and the metal contact properties. The SET process involved switching both devices from a high-resistance state to a low-resistance one using the space charge-limited current mechanism. In the RESET process, the Ag-electrode device is allocated the Poole–Frenkel emission mechanism, and the Cr-electrode device is followed the Fowler–Nordheim tunneling mechanism. The formation and dissociation of iodine vacancy filaments via the dielectric layer were identified as the RS mechanism in both devices. The findings show that organic–inorganic hybrid perovskite has a strong potential for data storage.
Extended terahertz valley-locked surface waves in designer surface plasmon crystals
Authors: Zhao Yulin , Liang Feng , Han Jianfei , Zhao Deshuang , Wang Bing-Zhong 
Published: March 2023

Abstract
Topological valley-locked edge states have been attracting much attention in terahertz (THz) and optical regimes due to their unique unidirectional backscattering-immune feature. However, these one-dimensional edge transports are essentially not compatible to traditional waveguides or devices. In this work, we propose a THz topological waveguide supporting two dimensional valley-locked surface waves based on designer surface plasmon crystals. The waveguide is implemented by designing a sandwich-like A|C|B heterostructure with three domains. The central domain C carrying a Dirac cone in the band structure is topologically trivial. The A and B domains consist of two distinct topological structures with opposite valley-Chern numbers. Unlike topological edge states existing only at the interface of conventional A|B domain wall structure, extended topological valley-locked surface states propagating along the whole B domain are observed in our proposed structure. This heterostructure with designable waveguide width is more flexible for interfacing with existing THz devices, and is quite suitable for high-throughput and high-power-capacity applications. Besides, the unique features of momentum-valley locking and immunity against sharp bends are reserved. This work may promote future topological and traditional integrated functional devices in THz and optical regimes.
Multifunctional terahertz metasurface devices based on 3D-printed low refractive index meta-gratings
Authors: Yan Dexian , Zhu Zhenghan , Liu Zihao , Li Xiangjun , Zhang Le 
Published: March 2023

Abstract
Metasurface optical devices have shown a tendency to gradually supersede the conventional bulk devices in applications requiring compactness and light weight. Typical metasurface-based flat lenses that manipulate the wavefront rely on phase mapping using a limited number of subwavelength structures. However, this approach greatly reduces the efficiency when limited structures are mapped for a high numerical aperture (NA). Here, we theoretically and experimentally propose low refractive index meta-grating-based multifunctional devices fabricated by three-dimensional printing technology. The meta-grating arrays effectively bend the incident polarized terahertz wave to the designed diffraction angle of 67°, with transmission efficiencies of 74.1% (S-dimer) and 54.2% (P-dimer) at the frequency of 0.1 THz. Then, the meta-lens based on the proposed meta-grating arrays achieves the measured focus efficiency of 32.1% with NA = 0.902, corresponding to a maximum collection angle of 64.5°. The designed flat devices with excellent characteristics in terms of efficiency and NA represent a new paradigm in high efficiency, low-cost and multifunctional terahertz devices.
A latent representation dual manifold regularization broad learning system with incremental learning capability for fault diagnosis
Authors: Mou Miao , Zhao Xiaoqiang , Liu Kai , Cao Shiyu , Hui Yongyong 
Published: March 2023

Abstract
Fault diagnosis models based on deep learning must spend a lot of time adjusting the model structure and parameters for retraining upon the occurrence of a new fault. To address this problem, a latent representation dual manifold regularization broad learning system (LRDMR-BLS) with incremental learning capability is proposed for fault diagnosis. The model uses the link information between data to guide feature selection via latent representation learning. Meanwhile, two manifold regularization terms are added to the objective function of latent representation learning and the objective function of BLS to maintain the local manifold structure of data and feature spaces. Finally, the incremental learning capability of the proposed model enables the proposed model to be updated quickly when a new fault occurs. The superiority of the proposed model is demonstrated by two chemical processes.
Dielectrophoretic alignment of carbon nanotubes: theory, applications, and future
Authors: Abdulhameed Abdullah , Halim Mohd Mahadi , Halin Izhal Abdul 
Published: March 2023

Abstract
Carbon nanotubes (CNTs) are nominated to be the successor of several semiconductors and metals due to their unique physical and chemical properties. It has been concerning that the anisotropic and low controllability of CNTs impedes their adoption in commercial applications. Dielectrophoresis (DEP) is known as the electrokinetics motion of polarizable nanoparticles under the influence of nonuniform electric fields. The uniqueness of this phenomenon allows DEP to be employed as a novel method to align, assemble, separate, and manipulate CNTs suspended in liquid mediums. This article begins with a brief overview of CNT structure and production, with the emphasize on their electrical properties and response to electric fields. The DEP phenomenon as a CNT alignment method is demonstrated and graphically discussed, along with its theory, procedure, and parameters. We also discussed the side forces that arise in DEP systems and how they negatively or positively affect the CNT alignment. The article concludes with a brief review of CNT-based devices fabricated using DEP, as well as the method’s limitations and future prospects.
High-efficient Bloch simulation of magnetic resonance imaging sequences based on deep learning
Authors: Huang Haitao , Yang Qinqin , Wang Jiechao , Zhang Pujie , Cai Shuhui , Cai Congbo 
Published: March 2023

Abstract

Objective. Bloch simulation constitutes an essential part of magnetic resonance imaging (MRI) development. However, even with the graphics processing unit (GPU) acceleration, the heavy computational load remains a major challenge, especially in large-scale, high-accuracy simulation scenarios. This work aims to develop a deep learning-based simulator to accelerate Bloch simulation. Approach. The simulator model, called Simu-Net, is based on an end-to-end convolutional neural network and is trained with synthetic data generated by traditional Bloch simulation. It uses dynamic convolution to fuse spatial and physical information with different dimensions and introduces position encoding templates to achieve position-specific labeling and overcome the receptive field limitation of the convolutional network. Main results. Compared with mainstream GPU-based MRI simulation software, Simu-Net successfully accelerates simulations by hundreds of times in both traditional and advanced MRI pulse sequences. The accuracy and robustness of the proposed framework were verified qualitatively and quantitatively. Besides, the trained Simu-Net was applied to generate sufficient customized training samples for deep learning-based T
2 mapping and comparable results to conventional methods were obtained in the human brain. Significance. As a proof-of-concept work, Simu-Net shows the potential to apply deep learning for rapidly approximating the forward physical process of MRI and may increase the efficiency of Bloch simulation for optimization of MRI pulse sequences and deep learning-based methods.
Timing performance of radiation hard MALTA monolithic pixel sensors
Authors: Gustavino G. , Allport P. , Asensi I. , Berlea D.V. , Bortoletto D. , Buttar C. , Dachs F. , Dao V. , Denizli H. , Dobrijevic D. , Flores L. , Gabrielli A. , Gonella L. , González V. , LeBlanc M. , Oyulmaz K. , Pernegger H. , Piro F. , Riedler P. , Sandaker H. , Solans C. , Snoeys W. , Suligoj T. , van Rijnbach M. , Sharma A. , Vázquez Núñez M. , Weick J. , Worm S. , Zoubir A. 
Published: March 2023

Abstract
The MALTA family of Depleted Monolithic Active Pixel Sensor (DMAPS) produced in Tower 180 nm CMOS technology targets radiation hard applications for the HL-LHC and beyond. Several process modifications and front-end improvements have resulted in radiation hardness up to 2 × 1015 1 MeV neq/cm2 and time resolution below 2 ns, with uniform charge collection efficiency across the pixel of size 36.4 × 36.4 μm2 with a 3 μm2 electrode size. The MALTA2 demonstrator produced in 2021 on high-resistivity epitaxial silicon and on Czochralski substrates implements a new cascoded front-end that reduces the RTS noise and has a higher gain. This contribution shows results from MALTA2 on timing resolution at the nanosecond level from the CERN SPS test-beam campaign of 2021.
Future developments of radiation tolerant sensors based on the MALTA architecture
Authors: Dobrijević D. , Allport P. , Asensi I. , Berlea D. , Bortoletto D. , Buttar C. , Dachs F. , Dao V. , Denizli H. , Sanz de Acedo L.F. , Gabrielli A. , Gonella L. , González V. , LeBlanc M. , Núñez M.V. , Oyulmaz K. , Pernegger H. , Piro F. , Riedler P. , Sandaker H. , Sánchez C.S. , Snoeys W. , Suligoj T. , van Rijnbach M. , Weick J. , Worm S. 
Published: March 2023

Abstract
The planned MALTA3 DMAPS designed in the standard TowerJazz 180 nm imaging process will implement the numerous process modifications, as well as front-end changes in order to boost the charge collection efficiency after the targeted fluence of 1 × 1015 1 MeV neq/cm2. The effectiveness of these changes have been demonstrated with recent measurements of the full size MALTA2 chip. With the original MALTA concept being fully asynchronous, a small-scale MiniMALTA demonstrator chip has been developed with the intention of bridging the gap between the asynchronous pixel matrix, and the synchronous DAQ. This readout architecture will serve as a baseline for MALTA3, with focus on improved timing performance. The synchronization memory has been upgraded to allow clock speeds of up to 1.28 GHz, with the goal of achieving a sub-nanosecond on-chip timing resolution. The subsequent digital readout chain has been modified and will be discussed in the context of the overall sensor architecture.
Biomimicking dual drug eluting twisted electrospun nanofiber yarns for post-operative wound healing
Authors: Singh Pragya , Pandey Prashant , Arya Dilip Kumar , Anjum Md Meraj , Poonguzhali Subramaniam , Kumar Abhishek , Gupta Ravi , Rajamanickam Vijayakumar Mahalingam , Singh Sanjay , Chaurasia Sundeep , Dantuluri Ajay Kumar , Mcmahon Sean , Rajinikanth Paruvathanahalli Siddalingam 
Published: March 2023

Abstract
The morbidity rate following a surgical procedure increasing rapidly in the cases associated with surgical site infections. Traditional sutures lack the ability to deliver drugs as the incorporation of the drug in their structure would hamper their mechanical properties. To prevent such infections, we developed an extracellular matrix mimicking electrospun nanofibrous yarns of poly-(D,L)-lactic acid and polyvinyl alcohol loaded with vancomycin and ferulic acid, prepared by uniaxial electrospinning technique. In-vitro characterization such as scanning electron microscopy, Fourier transform infrared spectroscopy, x-ray diffraction, tensile strength testing, degradation studies, and antimicrobial studies along with in-vivo evaluation done with help of incision wound healing rat model and simultaneous testing of microbial load in the incised tissue. The in-vitro studies indicated the nanofiber yarns have size range 200–300 nm with a tensile strength of 7.54 ± 0.58 MPa. The dual drug-loaded yarn showed sustained drug release over a period of 48 h. In-vitro water uptake and biodegradation data indicated optimum results suitable for suturing applications. Antimicrobial study showed excellent antimicrobial activity against both S. aureus and E. coli. Results obtained from in-vivo study suggested excellent wound healing potential of nanofiber yarns as compared with commercial silk sutures. The histopathological studies confirmed restoring ability of nanofiber yarn to the normal skin structure. Enzyme-linked immunosorbent assay (ELISA) study revealed the downregulation of inflammatory markers i.e. TNF-alpha and IL-6, making nanofibers sutures suitable for surgical wound healing applications. Overall, the present study may conclude that the developed dual drug-loaded nanofiber yarns have excellent potential in surgical wound healing applications.
Long-lasting impact of winter North Atlantic Oscillation on Barents-Kara sea ice anomaly in recent decades
Authors: Zhou Fang , Liu Ming-Hong , Shi Jian , Zhao Meng-Yuan 
Published: March 2023

Abstract
In this paper, the long-lasting impact of the winter North Atlantic Oscillation (NAO) on Arctic sea ice is investigated using reanalysis data, with focus on the Barents–Kara (BK) sea where the air-sea-ice response is closely associated with the interdecadal shift in the northern action center of the NAO. A significant negative correlation between the winter NAO and the late autumn BK sea ice has been dominant since the early 2000s, which is in sharp contrast to the extremely weak correlation before the late 20th century. When the northern center of the NAO retreats westward, a prevailing low-level southerly wind anomaly creates significant positive air temperature anomalies over the BK sea, and the induced ocean current strengthens the northward transport of warm sea water, resulting in a positive BK upper-layer ocean temperature anomaly and a negative sea ice anomaly until early spring. Entering summer, the preexisting less-than-normal sea ice causes the amount of solar shortwave radiation absorbed by the upper-layer sea water to significantly increase and thereby continues to warm up the upper layer of sea water and reduce the sea ice. The warmed sea water enables the negative sea ice anomaly to last until late autumn owing to its relatively large specific heat capacity. Thus, the NAO in the previous winter exerts a long-lasting impact on the BK sea ice.
Large humidity effects on urban heat exposure and cooling challenges under climate change
Authors: Yang Joyce , Zhao Lei , Oleson Keith 
Published: March 2023

Abstract
Many urban climates are characterized by increased temperature and decreased relative humidity, under climate change and compared to surrounding rural landscapes. The two trends have contrasting effects on human-perceived heat stress. However, their combined impact on urban humid heat and adaptation has remained largely unclear. Here, we use simulations from an earth system model to investigate how urbanization coupled with climate change affects urban humid heat stress, exposure, and adaptation. Our results show that urban humid heat will increase substantially across the globe by 3.1 °C by the end of the century under a high emission scenario. This projected trend is largely attributed to climate change-driven increases in specific humidity (1.8 °C), followed by air temperature (1.4 °C)—with urbanization impacts varying by location and of a smaller magnitude. Urban humid heat stress is projected to be concentrated in coastal, equatorial areas. At least 44% of the projected urban population in 2100, the equivalent of over 3 billion people worldwide, is projected to be living in an urban area with high humid heat stress. We show a critical, climate-driven dilemma between cooling efficacy and water limitation of urban greenery-based heat adaptation. Insights from our study emphasize the importance of using urban-explicit humid heat measures for more accurate assessments of urban heat exposure and invite careful evaluation of the feasibility of green infrastructure as a long-term cooling strategy.
Role of multi-decadal variability of the winter North Atlantic Oscillation on Northern Hemisphere climate
Authors: Schurer Andrew P , Hegerl Gabriele C , Goosse Hugues , Bollasina Massimo A , England Matthew H , Smith Doug M , Tett Simon F B 
Published: March 2023

Abstract
The North Atlantic Oscillation (NAO) plays a leading role in modulating wintertime climate over the North Atlantic and the surrounding continents of Europe and North America. Here we show that the observed evolution of the NAO displays larger multi-decadal variability than that simulated by nearly all CMIP6 models. To investigate the role of the NAO as a pacemaker of multi-decadal climate variability, we analyse simulations that are constrained to follow the observed NAO. We use a particle filter data-assimilation technique that sub-selects members that follow the observed NAO among an ensemble of simulations, as well as the El Niño Southern Oscillation and Southern Annular Mode in a global climate model, without the use of nudging terms. Since the climate model also contains external forcings, these simulations can be used to compare the simulated forced response to the effect of the three assimilated modes. Concentrating on the 28 year periods of strongest observed NAO trends, we show that NAO variability leads to large multi-decadal trends in temperature and precipitation over Northern Hemisphere land as well as in sea-ice concentration. The Atlantic subpolar gyre region is particularly strongly influenced by the NAO, with links found to both concurrent atmospheric variability and to the Atlantic Meridional Overturning Circulation (AMOC). Care thus needs to be taken to account for impacts of the NAO when using sea surface temperature in this region as a proxy for AMOC strength over decadal to multi-decadal time-scales. Our results have important implications for climate analyses of the North Atlantic region and highlight the need for further work to understand the causes of multi-decadal NAO variability.
Entanglement of the Ising–Heisenberg diamond spin-

1/2

cluster in evolution
Authors: Kuzmak A R 
Published: March 2023

Abstract
In the last two decades, magnetic, thermodynamic properties and bipartite thermal entanglement in diamond spin clusters and chains have been studied. Such spin structures are presented in various compounds. The ions of Cu2+ in the natural mineral azurite are arranged in a diamond spin chain. There are no studies of the entanglement behaviour during the quantum evolution of such systems. Herein, we consider the evolution of entanglement in the diamond spin-1/2 cluster. This cluster consists of two central spins described by the anisotropic Heisenberg model, which interact with two side spins via Ising interaction. The influence of the interaction coupling with side spins on the entanglement of central spins is investigated. It is shown that choosing the value of this coupling allows us to control the behaviour of entanglement between central spins. As a result, we find conditions for achieving the maximal values of entanglement. In addition, the entanglement behaviour between the side spins, central and side spins, and between a certain spin and the rest of the system is studied. In these cases, the conditions for achieving maximal entanglement are also obtained.
Preface: The 1st International Conference Fisheries and Marine (INFISMA) 2022
Authors: Sutaman  , Zoohry Noor , Dahuri Rokhmin , Matsuoka Tatsuro , Zainudin Arif 
Published: March 2023

Presidential Regulation (Perpres) Number 59/2017 concerning the Implementation of SDGs Achievement signed by President Joko Widodo (also known as Jokowi), this proves the commitment of the Indonesian nation to global agreements. In line with the United Nations’ ongoing agenda to provide a blueprint for peace and prosperity for people and the planet, Indonesia continues to be committed to achieving the 17 Sustainable Development Goals (SDGs) by 2030. One of Indonesia’s major sectors is Fisheries and Marine which are very important in achieving the SDG’s because 62% of Indonesia’s territory is water. In line with President Jokowi’s vision of introducing the Indonesia Global Maritime Axis (GMA), Indonesia must have a significant impact in optimizing Fisheries and Marine resources in realizing the development of aquaculture, aquatic resources, and a sustainable environment as well as food security in the world.
Universitas Pancasakti Tegal, one of the private universities in Indonesia, has a Faculty of Fisheries and Marine Affairs that continues to improve quality in maintaining the sustainability of the aquatic environment to maintain the availability of natural resources, socio-economic development and even explore the new potential of aquatic commodities. which is important to humans. Therefore, our faculty is obliged to connect researchers around the world to answer questions related to sustainability issues.
List of INFISMA 2022 COMMITTEE are available in this pdf.