bluuebunny/crossref_metadata_2025_split huggingface dataset:
The measurement of responsivity of infrared photodetectors using a cavity blackbody
Authors: Li Nong , Jiang Dongwei , Wang Guowei , Chen Weiqiang , Zhou Wenguang , Jiang Junkai , Chang Faran , Hao Hongyue , Wu Donghai , Xu Yingqiang , Shen Guiying , Xie Hui , Liu Jingming , Zhao Youwen , Wang Fenghua , Niu Zhichuan 
Published: October 2023

Abstract
For the measurement of responsivity of an infrared photodetector, the most-used radiation source is a blackbody. In such a measurement system, distance between the blackbody, the photodetector and the aperture diameter are two parameters that contribute most measurement errors. In this work, we describe the configuration of our responsivity measurement system in great detail and present a method to calibrate the distance and aperture diameter. The core of this calibration method is to transfer direct measurements of these two parameters into an extraction procedure by fitting the experiment data to the calculated results. The calibration method is proved experimentally with a commercially extended InGaAs detector at a wide range of blackbody temperature, aperture diameter and distance. Then proof procedures are further extended into a detector fabricated in our laboratory and consistent results were obtained.
An 80-GHz DCO utilizing improved SC ladder and promoted DCTL-based hybrid tuning banks
Authors: Tang Lu , Chen Yi , Wang Kui 
Published: October 2023

Abstract
An 80-GHz DCO based on modified hybrid tuning banks is introduced in this paper. To achieve sub-MHz frequency resolution with reduced circuit complexity, the improved circuit topology replaces the conventional circuit topology with two binary-weighted SC cells, enabling eight SC-cell-based improved SC ladders to achieve the same fine-tuning steps as twelve SC-cell-based conventional SC ladders. To achieve lower phase noise and smaller chip size, the promoted binary-weighted digitally controlled transmission lines (DCTLs) are used to implement the coarse and medium tuning banks of the DCO. Compared to the conventional thermometer-coded DCTLs, control bits of the proposed DCTLs are reduced from 30 to 8, and the total length is reduced by 34.3% (from 122.76 to 80.66 μm). Fabricated in 40-nm CMOS, the DCO demonstrated in this work features a small fine-tuning step (483 kHz), a high oscillation frequency (79–85 GHz), and a smaller chip size (0.017 mm2). Compared to previous work, the modified DCO exhibits an excellent figure of merit with an area (FoMA) of –198 dBc/Hz.
Forward stagewise regression with multilevel memristor for sparse coding
Authors: Wu Chenxu , Xue Yibai , Bao Han , Yang Ling , Li Jiancong , Tian Jing , Ren Shengguang , Li Yi , Miao Xiangshui 
Published: October 2023

Abstract
Sparse coding is a prevalent method for image inpainting and feature extraction, which can repair corrupted images or improve data processing efficiency, and has numerous applications in computer vision and signal processing. Recently, several memristor-based in-memory computing systems have been proposed to enhance the efficiency of sparse coding remarkably. However, the variations and low precision of the devices will deteriorate the dictionary, causing inevitable degradation in the accuracy and reliability of the application. In this work, a digital-analog hybrid memristive sparse coding system is proposed utilizing a multilevel Pt/Al2O3/AlOx/W memristor, which employs the forward stagewise regression algorithm: The approximate cosine distance calculation is conducted in the analog part to speed up the computation, followed by high-precision coefficient updates performed in the digital portion. We determine that four states of the aforementioned memristor are sufficient for the processing of natural images. Furthermore, through dynamic adjustment of the mapping ratio, the precision requirement for the digit-to-analog converters can be reduced to 4 bits. Compared to the previous system, our system achieves higher image reconstruction quality of the 38 dB peak-signal-to-noise ratio. Moreover, in the context of image inpainting, images containing 50% missing pixels can be restored with a reconstruction error of 0.0424 root-mean-squared error.
Linear approximation to the statistical significance autocovariance matrix in the asymptotic regime
Authors: Ananiev V. , Read A.L. 
Published: October 2023

Abstract
Approximating significance scans of searches for new particles in high-energy physics experiments as Gaussian fields is a well-established way to estimate the trials factors required to quantify global significances. We propose a novel, highly efficient method to estimate the covariance matrix of such a Gaussian field. The method is based on the linear approximation of statistical fluctuations of the signal amplitude. For one-dimensional searches the upper bound on the trials factor can then be calculated directly from the covariance matrix. For higher dimensions, the Gaussian process described by this covariance matrix may be sampled to calculate the trials factor directly. This method also serves as the theoretical basis for a recent study of the trials factor with an empirically constructed set of Asmiov-like background datasets. We illustrate the method with studies of a H → γγ inspired model that was used in the empirical paper.
Treating detector systematics via a likelihood free inference method
Authors: Fischer L. , Naab R. , Trettin A. 
Published: October 2023

Abstract
Estimating the impact of systematic uncertainties in particle physics experiments is
challenging, especially since the detector response is unknown analytically in most situations and
needs to be estimated through Monte Carlo (MC) simulations. Typically, detector property
variations are parameterized in ways that implicitly assume a specific physics model, which can
introduce biases on quantities measured by an analysis. In this paper, we present a method to
recover a model-independent, event-wise estimation of the detector response variation by applying
a likelihood-free inference method to a set of MC simulations representing discrete detector
realizations. The method provides a re-weighting scheme for every event, which can be used to
apply the effects of detector property variations fully decoupled from the assumed physics model.
Using a toy MC example inspired by fixed-baseline neutrino oscillation experiments, we demonstrate
the performance of our method. We show that it fully decouples the modeling of the detector
response from the physics parameters to be measured in a MC forward-folding analysis.
Gain layer degradation study after neutron and proton irradiations in Low Gain Avalanche Diodes
Authors: Currás Rivera E. , La Rosa A. , Moll M. , Zareef F. 
Published: October 2023

Abstract
The high-luminosity upgrade of the ATLAS and CMS experiments includes dedicated sub-detectors to perform the time-stamping of minimum ionizing particles (MIPs). These detectors will be exposed up to fluences in the range
of 1.5-2.5 × 1015 neq/cm2 at the end of their lifetime and, Low Gain Avalanche Diode (LGAD) has been chosen as their baseline detection technology. To better understand the performance of LGAD detectors in these environments, a gain layer degradation study after neutron and proton irradiations up to a fluence of 1.5 × 1015 neq/cm2 was performed. LGADs manufactured at Hamamatsu Photonics (HPK) and Centro Nacional de Microelectrónica (CNM-IMB) were chosen for this study and, a comparison in the gain layer degradation after exposure to reactor neutrons at the Jožef Stefan Institute (JSI) in Ljubjana and 24 GeV/c protons at the CERN-PS is presented here.
Bioinspired flatfish detection using electrical impedance measurements
Authors: Nowak Lukasz J , Lankheet Martin J 
Published: October 2023

Abstract
Bottom trawling for flatfish by means of tickler chains has a high ecological impact due to the continuous seabed disturbance, low selectivity and high fuel costs. This issue could be significantly mitigated by using localized startle stimuli, triggered by a detection system that selectively targets flatfishes of landable size. Flatfish, however, constitute a significant challenge for remote detection, due to their low optical and acoustical signatures. Some species of predatory fish feeding on flatfish overcome this issue by using electroreception to localize they prey, even if it is buried in bottom sediments. We take this phenomenon as an inspiration in an attempt to develop a biomimetic remote fish detection technique based on electrical impedance measurements. We constructed a detection system including a set of electrodes and a low-cost analog front-end. The electrodes were mounted on a dedicated frame and dragged above a layer of sand inside a tank with sea water and several common sole (Solea solea). An underwater camera was used to acquire video recordings synchronized with impedance data for reference. We demonstrate that fish presence below the electrodes manifests itself by changes in the measured resistance and reactance values. This phenomenon occurs even if the fish is covered with a layer of sand. The results demonstrate the potential of bioinspired remote flatfish detection, which could be highly useful for monitoring or targeted stimulation.
Variability in terrestrial characteristics and erosion rates on the Alaskan Beaufort Sea coast
Authors: Piliouras Anastasia , Jones Benjamin M , Clevenger Tabatha , Gibbs Ann E , Rowland Joel C 
Published: October 2023

Abstract
Arctic coastal environments are eroding and rapidly changing. A lack of pan-Arctic observations limits our ability to understand controls on coastal erosion rates across the entire Arctic region. Here, we capitalize on an abundance of geospatial and remotely sensed data, in addition to model output, from the North Slope of Alaska to identify relationships between historical erosion rates and landscape characteristics to guide future modeling and observational efforts across the Arctic. Using existing datasets from the Alaska Beaufort Sea coast and a hierarchical clustering algorithm, we developed a set of 16 coastal typologies that captures the defining characteristics of environments susceptible to coastal erosion. Relationships between landscape characteristics and historical erosion rates show that no single variable alone is a good predictor of erosion rates. Variability in erosion rate decreases with increasing coastal elevation, but erosion rate magnitudes are highest for intermediate elevations. Areas along the Alaskan Beaufort Sea coast (ABSC) protected by barrier islands showed a three times lower erosion rate on average, suggesting that barrier islands are critical to maintaining mainland shore position. Finally, typologies with the highest erosion rates are not broadly representative of the ABSC and are generally associated with low elevation, north- to northeast-facing shorelines, a peaty pebbly silty lithology, and glaciomarine deposits with high ice content. All else being equal, warmer permafrost is also associated with higher erosion rates, suggesting that warming permafrost temperatures may contribute to higher future erosion rates on permafrost coasts. The suite of typologies can be used to guide future modeling and observational efforts by quantifying the distribution of coastlines with specific landscape characteristics and erosion rates.
Two–step pulsed laser ablation for preparation NiO@ZnO core-shell nanostructure and evaluation of their antibacterial activity
Authors: Imran Hadeel J , Aadim Kadhim A , Hubeatir Kadhim A 
Published: October 2023

Abstract
The excessive use of antibiotics led to the appearance of many strains of resistant bacteria, so it became necessary to use new antibacterial techniques. The aim of this work is the synthesis of novel core–shell NPs (NiO@ZnO) for antibacterial applications. A novel NiO@ZnO core–shell nanomaterial with a nanosize and uniform shape has been synthesised using the two-step pulsed laser ablation in liquid (PLAL) method. The first step is the laser ablation of the nickel target and the production of NiO NPs (core) colloidal, followed by the second step, the ablation of ZnO (shell) inside NiO NPs colloidal. The transmission electron microscopy results approve the formation of NiO@ZnO core–shell NPs with an average particle size of 54.4 nm for NiO particles and 60.7 nm for the NiO@ZnO core–shell. The antibacterial activity was examined against the pathogenic bacterial strains E. coli and S. aureus. We found that in the case of NiO, the inhibition rates were 62.4 and 59.2% for E. coli and S. aureus, respectively. While with NiO@ZnO NPs, this result was improved to 74.8% for E. coli and 71.2% for S. aureus. So, it was found that using the core–shell NPs increased the antibacterial activity of NPs, and the use of NiO NPs and core approved their effect as antibacterial agents due to their special properties. This behaviour is primarily because of the accumulation of the NiO@ZnO NPs on the surface of the bacteria, which leads to cytotoxic bacteria and a relatively increased ZnO, causing cell death. Furthermore, the use of a NiO@ZnO core–shell material will inhibit the bacteria from nourishing themselves on the culture medium. Therefore, core shelling metal oxides with another metal oxide or other material improves their antibacterial activity compared with using them alone.
Influence of nano zirconia on the mechanical and durability properties of high-performance concrete containing nano-silica
Authors: Ashok Kumaravel V K , Elangovan G 
Published: October 2023

Abstract
High Performance Concrete (HPC) was prepared by reinforcing with hybrid nanoparticles such as nano-SiO2 and nano-ZrO2 and the flowability, strength and durability of the concrete was investigated. Slump study showed that the prepared HPC displayed a slump loss with the addition of hybrid nanoparticles due to the absorption of water by hybrid nanoparticles. Experimental results showed that the inclusion of 10% nano-SiO2 and 5% nano-ZrO2 hybrid nanoparticles (mix code M5) enhanced the compressive strength of concrete and exhibited a maximum of 50.12 MPa and 76.4 MPa at 7 days and 28 days of curing due to the reduction of pore volume. Split tensile strength followed the same trend of variation as compressive strength and the mix code M5 showed the maximum split tensile strength of 5.33 MPa and 7.08 MPa cured at 7 days and 28 days respectively. Flexural study resulted that the mix code M5 exhibited a maximum flexural strength of 5.73 MPa and 7.38 MPa cured at 7 days and 28 days respectively owing to the restriction of crack ignition by reinforced hybrid nanoparticles. Rheological study reported that all the prepared concretes lost the weight by less than 1% and the chloride attack displayed maximum weight loss of 4% whereas alkaline attack showed less weight of concrete.
Structural, electrical and dielectric properties of ZnFe2O4/Cu2S 3D heterostructures
Authors: Rani Sanjeeta , Kaushik Bhawna , Saya Laishram , Hooda Sunita , Verma Manisha 
Published: October 2023

Abstract
This work reports the fabrication of zinc ferrite-copper sulphide (ZnFe2O4/Cu2S) 3D heterostructures and subsequent investigation of the spectroscopic behaviour of various electrical parameters like conductivity, impedance and dielectric loss. The study reveals a non-monotonic behaviour of the real component of impedance (Z’), while the imaginary component of impedance (Z’) exhibits a temperature-dependent relaxation frequency, with an estimated activation energy (E

a
) of 220.13 meV. The dc conductivity (σ

dc
) measurements reveal the semiconducting nature of the sample and a transition from a ferrimagnetic to a paramagnetic behaviour is reported at the Curie temperature of 327 K. In case of ac conductivity (σ

ac
), Jonscher’s power law σ

ac

= Aω

n
is followed and the exponent n is found to lie in the range 0.679–0.735 at different temperatures, which is best fitted into a polynomial of degree six. The temperature variation of n is suggestive of the overlapping large polaron tunnelling (OLPT) model. Further, ac activation energy (E

ac
) is also calculated, which is found to be smaller than the dc activation energy (E

dc
), indicating electron hopping between Fe3+ and Fe2+ ions. The numerically computed staying time (τ) of electrons in Fe3+/Fe2+ ionic sites varies with frequency as well as with temperature, ranging from 10−6s to 10−19s. A significant decrease in dielectric loss (tanδ) to the tune of 99% (from 75 at ∼100 Hz to 0.89 at ∼1 MHz) is reported at room temperature. In the present scenario, when smart materials like spinel ferrites have garnered significant attention for their promising magnetic and electric properties, our studies of the ZnFe2O4/Cu2S 3D heterostructures may provide immense possibilities for tailored applications in various electromagnetic applications.
Recent progress in bio-inspired macrostructure array materials with special wettability—from surface engineering to functional applications
Authors: Lian Zhongxu , Zhou Jianhui , Ren Wanfei , Chen Faze , Xu Jinkai , Tian Yanling , Yu Huadong 
Published: October 2023

Abstract
Bio-inspired macrostructure array (MAA, size: submillimeter to millimeter scale) materials with special wettability (MAAMs-SW) have attracted significant research attention due to their outstanding performance in many applications, including oil repellency, liquid/droplet manipulation, anti-icing, heat transfer, water collection, and oil–water separation. In this review, we focus on recent developments in the theory, design, fabrication, and application of bio-inspired MAAMs-SW. We first review the history of the basic theory of special wettability and discuss representative structures and corresponding functions of some biological surfaces, thus setting the stage for the design and fabrication of bio-inspired MAAMs-SW. We then summarize the fabrication methods of special wetting MAAs in terms of three categories: additive manufacturing, subtractive manufacturing, and formative manufacturing, as well as their diverse functional applications, providing insights into the development of these MAAMs-SW. Finally, the challenges and directions of future research on bio-inspired MAAMs-SW are briefly addressed. Worldwide efforts, progress, and breakthroughs from surface engineering to functional applications elaborated herein will promote the practical application of bio-inspired MAAMs-SW.
Frequency self-compensating technique for mitigating detuning effects due to bending for wearable patch antennas
Authors: Phukan Arunav , Bhattacharyya Nidhi S 
Published: October 2023

Abstract
This paper presents the design analysis and measurement of a linearly polarized microstrip patch antenna resonating in the X-band regime with a self-compensating mechanism to mitigate the detuning effects due to bending. The antenna is studied for its variation in the resonant frequency for bending radii up to 20 mm and a compensation of ≈50% is achieved as compared to its counterpart. The compensation technique is realized by altering the effective dielectric constant of the substrate by injecting dielectric fluids into the grooves incorporated in the substrate, supplemented by a shape variation of the grooves due to bending. The antennas demonstrated in the current work exhibits a gain of more than 7 dBi throughout along with a consistent −10 dB impedance bandwidth.
Influence of surface polishing on the degradation behavior of biodegradable Magnesium alloy
Authors: Kumar Lalit , Jain Arihan , Kumar Kamal , Sharma Gaurav Kumar 
Published: October 2023

Abstract
Mechanical polishing can significantly improve the surface integrity of Mg alloys to reduce the corrosion rate (CR) by minimizing the galvanic corrosion sites. In this study, an emery-polishing attachment on a lathe machine has been used for surface polishing of as-turned cylindrical ZM21 Mg alloy. Using Taguchi’s L9 orthogonal array, three process variables with three levels were investigated and optimized for minimum surface roughness (Ra and Rz values) of Mg-alloy samples. The minimum surface roughness values of Ra; 195 nm and Rz; 1481 nm were obtained corresponding to emery paper (EP) grade; 2000, rotational speed; 250 rpm, and polishing time; 2 min. An in-vitro immersion study was conducted in simulated body fluid (SBF) for up to 28 days to investigate the degradation behavior of as-turned and as-polished Mg alloy samples. In-vitro study showed that the as-turned samples (surface roughness; Ra: 640 nm, Rz: 4640 nm) had a higher degradation rate (CR: 3.9 mm year−1 after 28 days) with a higher volume of H2 evolution rate, whereas the polished sample with the minimum surface roughness (Ra: 195 nm, Rz: 1481 nm) exhibited lower weight loss, H2 release rate, degradation rate (CR: 0.95 mm year−1 after 28 days) and minimum loss of mechanical strength. Based on the present study, polishing is recommended as a secondary operation after machining of Mg alloy to reduce the corrosion rate for biodegradable implant applications.
Role of process parameters in defining the characteristics of copper surface composites fabricated via friction stir processing
Authors: Vinoj K , Raja R , Thankachan Titus , Jannet Sabitha 
Published: October 2023

Abstract
This research deals with investigating the effects of amount of hybrid reinforcement, rotational speed and traverse speed on the mechanical and wear characteristics of copper surface composites fabricated via friction stir processing. Aluminum oxide and boron carbide at 1:1 ratio was dispersed onto copper substrate at various volume fractions (5, 10 and 15 vol. %) at different traverse speed (40, 60 and 80 mm min−1) and rotational speed (800, 950 and 1300 rpm). Microstructural characterization of developed copper surface composites dispersed with varying volume fraction of hybrid reinforcement proved reduction in grain size and homogenous distribution of ceramic particles. Results stated that the percentage of particles dispersed, traverse speed and rotational speed have high impact in defining the property of developed copper surface composites. A positive trend in mechanical strength was observed throughout the study. Increase in hybrid reinforcement dispersion and traverse speed increase the microhardness value of developed surface composites while increase in rotational speed leads to reduction in microhardness value.