bluuebunny/crossref_metadata_2025_split huggingface dataset:
Non-faradaic electrochemical impedance spectroscopy analysis of C-MEMS derived bio-modified glassy carbon electrode
Authors: Patel Rhea , Islam Md Saiful , Mandal Naresh , Pramanick Bidhan 
Published: June 2022

Abstract
In this work, we have developed a carbon-microelectromechanical systems derived glassy carbon electrode (GCE) for non-faradaic electrochemical impedance spectroscopy (nf-EIS) measurement to detect electrode interfacial changes upon biomodification. This is carried out using a three-electrode system configuration. The fabricated electrode was electrochemically characterized in phosphate-buffered solution, and then changes in impedance were observed upon bio-modification of the electrode surface. The absence of any labelling molecule and no redox indicators makes the measurement system more straightforward and precise. The investigations were done using a standard deoxyribonucleic acid (DNA) immobilization on the GCE. The surface modification was done using a two-step assembly protocol linking the probe to the carbon electrode and blocking the unwanted sites using a spacer chemical-mercaptohexanol. The results obtained help us to understand the electrical signatures upon bio-modification of electrodes in the presence of a probe and its complementary 50 ng μl−1 DNA target. nf-EIS relies on various microscopic interactions, which occur at the electrode–electrolyte interface system. We are currently working on extending this study to develop a precise, accurate and sensitive sensor to detect bio-molecular interactions occurring on the GCE to detect disease-causing microorganisms in contaminated water samples.
Temperature-dependent breakdown and pre-breakdown conduction of polyethylene terephthalate
Authors: Zhou Jierui , Sotzing Michael , Li Zongze , Wu Chao , Zhou Peinan , Wang Yifei , Cao Yang 
Published: June 2022

Abstract
In this paper, electrical conduction of polyethylene terephthalate (PET) films at ultrahigh fields up to breakdown was experimentally investigated using a specially designed circuitry with a dynamic gain-controlled capacitive current cancellation. The breakdown strength of PET is found stable in the temperature range from 25 °C to 100 °C, while the charge-to-breakdown exhibits a dramatic increase over the same temperature range. Furthermore, a turning point is observed around the glass transition temperature (T
g) of PET for the onset field of the nonlinear conduction. The impact of this secondary transition process in PET on the pre-breakdown conduction is revealed by the Arrhenius analysis, with distinctively different activation energies of 0.70 and 0.22 eV determined for above and below the glass transition temperature, respectively, indicating clearly an increased temperature-dependence of conduction above T
g. Explicit space-charge-limited-current features are extracted for the pre-breakdown conduction above T
g. With exponential trap distribution model, the characteristic temperature of PET films is extracted from the trap-filling region to be 665 K, and the total trap density is determined to be

1.66
×

10

17

c

m

−
3

. This study unveils the important role that the physical long-chain topological disorder plays in the electronic and dielectric properties of polymeric dielectrics in association with the secondary transition process. Further study holds the promise for better understanding of underlying physics of breakdown in the design of new polymeric dielectrics.
Size- and temperature-dependent Young’s modulus of individual ZnS nanobelts
Authors: Ma Liang , Jiang Yijun , Dai Guozhang , Mead James L , Yibibulla Tursunay , Lu Mingyuan , Huang Han , Fatikow Sergej , Wang Shiliang 
Published: June 2022

Abstract
The Young’s modulus of individual ZnS nanobelts with thicknesses ranging from 30 to 110 nm is measured by a mechanical resonance method over a temperature range of 300–650 K. Nanobelts with thicknesses above ∼80 nm exhibit a Young’s modulus very close to their corresponding bulk value of 88 GPa, whilst thinner nanobelts with thicknesses down to 30 nm exhibit a Young’s modulus of ∼70 GPa. Incrementally heating a nanobelt of 110 nm thickness over a temperature range of 300–650 K presents a linearly decreasing Young’s modulus. The nanobelt is thus found to possess a temperature coefficient of Young’s modulus of −125.4 ± 2.8 ppm K−1, which is comparable to their bulk value of −147 ppm K−1. The temperature coefficient of Young’s modulus for nanobelts with thicknesses below 100 nm demonstrates a strong size effect, and is found to dramatically decrease to as low as −201.4 ± 10.2 ppm K−1 for the thickness of 30 nm. A nonlinear temperature dependence of Young’s modulus is experimentally identified for nanobelt with diameters below 100 nm, and the linear-nonlinear transition temperature decreases with the decrease of nanobelt thickness.
EMD-based time–frequency denoising algorithm for the self-sensing of vibration signals in ultrasonic-assisted grinding
Authors: Zhang Jiahao , Sang Hande , Zhao Su 
Published: June 2022

Abstract
An empirical mode decomposition (EMD)-based time–frequency denoising algorithm is derived in this paper to accomplish the extraction of active ingredients for multi-frequency mixed signals, and then the self-sensing of vibration signals is realized without additional sensors for an ultrasonic-assisted grinding device. EMD is employed to accomplish the signal decomposition, and multiple intrinsic mode function components and the residual are obtained. Then, the weighted factors used for signal reconstruction are obtained based on innovation statistical distance, which is selected as a criterion to evaluate the time–frequency domain correlation between decomposition results and the original signal. Next, the maximum correntropy criterion-based similarity detection method is designed to adaptively modify the weighted factors, and the signal is reconstructed on the foundation of the modified weighted factors. Finally, numerical simulations and a self-sensing experiment are conducted to verify the denoising performance of the proposed algorithm. The self-sensing of the 4.59 dB vibration signal is realized for an ultrasonic-assisted grinding device.
Efficient quantum state preparation using Stern–Gerlach effect on cold atoms
Authors: Singh Vivek , Tiwari V B , Mishra S R 
Published: June 2022

Abstract
The Zeeman hyperfine state dependent force in a Stern–Gerlach experiment has been exploited to separate and quantitatively detect atoms in different Zeeman hyperfine states in a cold atom cloud of

87

Rb

atoms. Using this atomic state detection technique, the quantum state of the atom cloud has been prepared with high efficiency for magnetic trapping application.
Attomolar detection of 4-aminothiophenol by SERS using silver nanodendrites decorated with gold nanoparticles
Authors: Ceballos Manuel , López Israel , Arizmendi-Morquecho Ana , Sánchez-Domínguez Margarita 
Published: June 2022

Abstract
In the present work we report a simple, fast, reproducible and cheap methodology for surface enhanced Raman spectroscopy (SERS) substrate fabrication of silver dendritic nanostructures (prepared by electrodeposition) decorated with gold nanospheres by electrophoretic deposition. This is the first report where a metal dendritic nanostructure has been decorated with another type of metal nanoparticles by this technique. The decorated nanostructures were used directly as SERS substrate using 4-aminothiophenol (4-ATP) as analyte. The objective of the decoration is to create more hot-spots in order to detect the analyte in a lower concentration. Decorated nanodendrites had a detection limit one million times lower than bare silver nanodendrites and all the substrates showed an increase in the Raman intensity at concentrations below 1 nM; because this concentration corresponds to the threshold for the formation of a monolayer resulting in a triple mechanism of intensity increase, namely electric field, chemical factor and hot-spots. 4-ATP was detected in attomolar concentration, which is below 1 ppq, corresponding to an analytical enhancement factor in the order of 1015.
Active targeting of CD4+ T lymphocytes by PEI-capped, peptide-functionalized gold nanoparticles
Authors: Ncobeni Nomfundo , de la Torre Beatriz G , Albericio Fernando , Kruger Hendrik G , Parboosing Raveen 
Published: June 2022

Abstract
Active targeting is a promising approach for the treatment of viral infections. In particular, site-specific formulations for the treatment of HIV infection may overcome challenges associated with current ARV regimens. In this study we explored active targeting by synthesizing a gold nanoparticle construct decorated with an anti-CD4 cyclic peptide. The aim was to demonstrate selectivity of the system for the CD4 receptor and to deliver the RNA payload into T-lymphocytes. Colloidal gold nanoparticles functionalized with N-succinimidyl 3-(2-pyridyldithio) propionate (SPDP) were formed by a one-pot synthesis method where thiol modified polyethyleneimine (PEI) was mixed with chloroauric acid. PEI-SPDP AuNPs (gold nanoparticles) were conjugated to an anti-CD4 peptide and loaded with RNA. We measured toxicity and uptake using TZM-bl and HeLa cells. Our findings show that the nanoparticles bind selectively to CD4 + cells. UV–vis characterisation of the nanoparticles revealed a surface plasmon resonance (SPR) peak at 527 nm, corresponding to a 6 nm diameter. HRTEM of the complete nanoparticles visualised circular shaped particles with average diameter of ∼7 nm. The polydispersity index was calculated to be 0.08, indicating monodispersity of complete NPS in solution. Through the pyridine-2-thione assay each nanoparticle was calculated to carry 1.37 × 105 SPDP molecules available for peptide binding. Flow cytometry showed that 13.6% of TZM-bl cells, and 0.14% of HeLa cells retained fluorescence after an overnight incubation, an indication of system binding. No internal RNA delivery was demonstrated. Further work is required to improve internalization.
Superconducting properties of Nb, NbN, and MoN thin films grown on topological insulator Bi1.95Sb0.05Se3: a comparative study
Authors: S Abhirami , Amaladass Edward Prabu , K Vinod , A V Thanikai Arasu , R Baskaran , Mani Awadhesh 
Published: June 2022

Abstract
The superconducting properties of DC magnetron sputtered Nb, NbN, and MoN films deposited on Sb-doped bismuth selenide (BSS) topological insulator films have been studied. In this two-fold study, firstly, thick superconducting films of ∼100 nm have been studied to find the modifications in the superconducting properties of the films caused by the surface morphology of pulsed laser deposition-grown BSS substrates. A drastic suppression in the critical current density has been observed in the bilayers, which has been ascribed to the strong influence of the substrate on the morphology of the superconducting film and the consequent enhancement in the density of superconducting weak links. The temperature dependence of the critical magnetic field has been carefully analyzed within the purview of the Werthamer–Hohenberg–Helfand theory, taking into account the effects of spin paramagnetism and spin–orbit scattering. In the second part of the study, ultra-thin bilayers of NbN-BSS, with thickness of the order of the coherence length (∼5 nm), have been grown to study the superconducting properties within the proximity regime. A ∼3.5 K suppression in T
c is seen in the NbN(5 nm)-BSS bilayer, due to a combination of interface roughness and superconducting proximity, while a suppression of 0.6 K has been observed in the BSS(6 nm)-NbN(5 nm) bilayer, which is surmised to be solely due to the superconducting proximity effect.
Closed-loop transcranial ultrasound stimulation with a fuzzy controller for modulation of motor response and neural activity of mice
Authors: Yuan Yi , Long Ai , Wu Yongkang , Li Xiaoli 
Published: June 2022

Abstract

Objective. We propose a closed-loop transcranial ultrasound stimulation (TUS) with a fuzzy controller to realize real-time and precise control of the motor response and neural activity of mice. Approach. The mean absolute value (MAV) of the electromyogram (EMG) and peak value (PV) of the local field potential (LFP) were measured under different ultrasound intensities. A model comprising the characteristics of the MAV of the EMG, PV of the LFP, and ultrasound intensity was built using a neural network, and a fuzzy controller, proportional-integral-derivative (PID) controller, and immune feedback controller were proposed to adjust the ultrasound intensity using the feedback of the EMG MAV and the LFP PV. Main results. In simulation, the quantitative calculation indicated that the maximum relative errors between the simulated EMG MAV and the expected values were 17% (fuzzy controller), 110% (PID control), 66% (immune feedback control); furthermore, the corresponding values of the LFP PV were 12% (fuzzy controller), 53% (PID control), 55% (immune feedback control). The average relative errors of fuzzy controller, PID control, immune feedback control were 4.97%, 13.15%, 11.52%, in the EMG closed-loop experiment and 7.76%, 11.84%, 13.56%, in the LFP closed-loop experiment. Significance. The simulation and experimental results demonstrate that the closed-loop TUS with a fuzzy controller can realize the tracking control of the motor response and neural activity of mice.
Causal impact of tearing mode on zonal flows and local turbulence in the edge of HL-2A plasmas
Authors: Xu J.Q. , Qu Y.R. , Li J.C. , Lin Z. , Dong J.Q. , Peng X.D. , Jiang M. , Qu H.P. , Huang Z.H. , Wu N. , Wang W.C. , Hao G.Z. , Chen W. , Li J.Q. , Xu M. 
Published: June 2022

Abstract
Direct causality analysis of the multi-scale interactions among macro-scale tearing mode (TM), meso-scale geodesic acoustic mode (GAM) and small-scale turbulence in the edge plasma of the HL-2A tokamak utilizing transfer entropy (TE) method is reported. Experimental results have demonstrated that the (m/n) = (2/1) (with m and n being the poloidal and toroidal mode numbers, respectively) TM modulates the turbulence with the frequency range of f = 50–150 kHz and the GAM mainly modulates that with higher frequencies. The TM has both amplitude and phase modulation on turbulence energy while the GAM has only amplitude regulation effect. TE analyses have shown that both TM and GAM will modulate the turbulence energy during which the impact of the former is of about an order magnitude larger than the latter, whereas the causal effect of TM on particle transport is about twice that of the GAM, which is due to the different causal effects on density and electric field fluctuations caused by TM and GAM, respectively. It is suggested that the magnetic fluctuation strongly modulates the Reynolds stress which serves as a mediator, leading to a cooperative interaction between TM and GAM in the edge of tokamak plasmas.
A benchtop induction-based AC magnetometer for a fast characterization of magnetic nanoparticles
Authors: Saari Mohd Mawardi , Sulaiman Mohd Herwan , Ahmad Hamzah , Lah Nurul Akmal Che , Sakai Kenji , Kiwa Toshihiko , Tsukada Keiji 
Published: June 2022

Abstract
In this study, we report a development of a benchtop induction-based AC magnetometer to realize a simple, wideband, and sensitive AC magnetometer for bio-sensing applications and characterization of magnetic nanoparticles (MNPs). We investigate the inductance and parasitic capacitance of six different pickup coil geometries and compare their sensitivity and usable frequency range. In the pickup coil design, the number of turns and coil section separation are varied from 200 to 400 turns, and 1 to 4 sections, respectively. We find that the usable frequency range is greatly affected by the pickup coil’s inductance due to the self-resonance phenomena compared to their parasitic capacitance. A low noise instrument amplifier circuit (AD8429, Analog Devices, USA) was integrated and fabricated on a printed circuit board to amplify the weak signal from the pickup coil. We also implement a generalized Goertzel algorithm to achieve fast signal amplitude and phase extractions at a frequency. The developed magnetometer shows a sensitivity of 10−8 Am2/√Hz at 6 Hz and a frequency range of up to 158 kHz. Using the developed AC magnetometer, we demonstrate the viscosity effect on the frequency response of thermally blocked, single-core nanoparticles (SHP30, Ocean Nanotech, USA) in glycerol solutions. The excitation frequency is swept from 5 Hz to 158 kHz at a field amplitude of 0.55 mTpp within the acquisition time of 5 min (51 points). As a result, the viscosity change is confirmed by the peak shifting in the imaginary magnetization curve towards lower frequency values when the wt/V% of the glycerol solution is increased. The hydrodynamic size and the average anisotropy energy ratio σ are estimated to be 60.6 nm and 25, respectively, from the complex AC magnetization. It can be expected that the developed AC magnetometer can be a valuable tool in providing a fast and reliable assessment of MNPs for bio-sensing applications.
Linked-Read Sequencing of Eight Falcons Reveals a Unique Genomic Architecture in Flux
Authors: Wilcox Justin J S , Arca-Ruibal Barbara , Samour Jaime , Mateuta Victor , Idaghdour Youssef , Boissinot Stéphane 
Published: June 2022

AbstractFalcons are diverse birds of cultural and economic importance. They have undergone major lineage-specific chromosomal rearrangements, resulting in greatly reduced chromosome counts relative to other birds. Here, we use 10X Genomics linked reads to provide new high-contiguity genomes for two gyrfalcons, a saker falcon, a lanner falcon, three subspecies of peregrine falcons, and the common kestrel. Assisted by a transcriptome sequenced from 22 gyrfalcon tissues, we annotate these genomes for a variety of genomic features, estimate historical demography, and then investigate genomic equilibrium in the context of falcon-specific chromosomal rearrangements. We find that falcon genomes are not in AT–GC equilibrium with a bias in substitutions toward higher AT content; this bias is predominantly but not exclusively driven by hypermutability of CpG sites. Small indels and large structural variants were also biased toward insertions rather than deletions. Patterns of disequilibrium were linked to chromosomal rearrangements: falcons have lost GC content in regions that have fused to larger chromosomes from microchromosomes and gained GC content in regions of macrochromosomes that have translocated to microchromosomes. Inserted bases have accumulated on regions ancestrally belonging to microchromosomes, consistent with insertion-biased gene conversion. We also find an excess of interspersed repeats on regions of microchromosomes that have fused to macrochromosomes. Our results reveal that falcon genomes are in a state of flux. They further suggest that many of the key differences between microchromosomes and macrochromosomes are driven by differences in chromosome size, and indicate a clear role for recombination and biased gene conversion in determining genomic equilibrium.
Pacific Healthy Islands Vision: success factors and challenges faced by health promotion programs
Authors: Martin Erik , Snowdon Wendy , Moadsiri Ada , Volavola Saula , Bell Colin 
Published: June 2022

Summary
The World Health Organization’s (WHO) Western Pacific Regional Office developed the biennial Healthy Islands Recognition Awards (HIA) in 2009 to reinforce the Healthy Islands vision and encourage countries to continue to innovate and demonstrate effective and efficient ways of promoting and protecting population health. This research aimed to identify characteristics of and challenges for successful health promotion in the Pacific. The research was undertaken to develop practical guidance for other groups in the Pacific Islands interested in supporting Healthy Islands. We used a qualitative case study to review 2013 and 2015 HIA awardees from eight Pacific Island countries and territories using a set of questions drawn from the HIA application criteria. In 2015–2016, 35 key informant interviews and a review of program documents were undertaken. This was followed by a workshop with representatives from three HIA awardees to further develop recommendations. We reviewed eight programs targeting healthy eating, physical activity, healthy settings and sanitation. Using evidence, careful planning, building capacity, developing partnerships, strengthening and reorientating networks, ensuring accountability and conducting evaluation were keys to the success of healthy islands projects. Considering the local setting and community was perhaps the most crucial theme amongst the programs examined. Challenges included funding and capacity constraints, maintaining commitment and prioritisation, maintaining communication and coordination and technical challenges. Success factors, challenges and recommendations aligned well with mainstream health promotion literature, although some important distinctions exist. Further research is needed to guide successful health promotion practice in the Pacific.
How quickly does a wound heal? Bayesian calibration of a mathematical model of venous leg ulcer healing
Authors: Zanca Adriana , Osborne James M , Zaloumis Sophie G , Weller Carolina D , Flegg Jennifer A 
Published: June 2022

Abstract
Chronic wounds, such as venous leg ulcers, are difficult to treat and can reduce the quality of life for patients. Clinical trials have been conducted to identify the most effective venous leg ulcer treatments and the clinical factors that may indicate whether a wound will successfully heal. More recently, mathematical modelling has been used to gain insight into biological factors that may affect treatment success but are difficult to measure clinically, such as the rate of oxygen flow into wounded tissue. In this work, we calibrate an existing mathematical model using a Bayesian approach with clinical data for individual patients to explore which clinical factors may impact the rate of wound healing for individuals. Although the model describes group-level behaviour well, it is not able to capture individual-level responses in all cases. From the individual-level analysis, we propose distributions for coefficients of clinical factors in a linear regression model, but ultimately find that it is difficult to draw conclusions about which factors lead to faster wound healing based on the existing model and data. This work highlights the challenges of using Bayesian methods to calibrate partial differential equation models to individual patient clinical data. However, the methods used in this work may be modified and extended to calibrate spatiotemporal mathematical models to multiple data sets, such as clinical trials with several patients, to extract additional information from the model and answer outstanding biological questions.