bluuebunny/crossref_metadata_2025_split huggingface dataset:
Influence of the tilt error motion of the rotation axis on the test of the equivalence principle with a rotating torsion pendulum
Authors: Zhao Hui-Hui , Ding Lu , Zhu Lin , Liu Qi , Tan Wen-Hai , Shao Cheng-Gang , Luo Pengshun , Yang Shan-Qing , Tu Liang-Cheng , Luo Jun 
Published: March 2021

Improving the precision of current tests of the equivalence principle with a rotating torsion pendulum requires a more complete analysis of systematic effects. Here, we discuss in detail one of the important systematic effects, the influence from the tilt error motion of the rotation axis of a rotary stage, namely, wandering of the instantaneous rotation axis around its average direction. Its influence on the rotating torsion pendulum is modeled phenomenologically, and the parameters in the model are calibrated. It is shown that the influence can contribute a correction of η ≈ 5 × 10−13 to the equivalence-principle violating parameter for a rotary stage whose tilt error motion of interest is about 31 nrad in magnitude. We also show that such an influence can be reduced to the level of η ≈ 1 × 10−14 by means of active compensation of the tilt error motion using a set of piezoelectric actuators placed under the stage stator.
Perceptions Diverge on Aspects Related to Substance use Disorder: An Analysis of Individuals in Recovery, Physicians, Nurses, and Medical Students
Authors: Shreffler Jacob , Shaw Isaac , McGee Suzanne , Bishop Campbell , Thé Selena , O'Brien Daniel , Price Tim , Huecker Martin 
Published: March 2021

Background Interactions with healthcare workers can provide effective entrance into treatment, ensuring retention and lifelong recovery for individuals with Substance Use Disorder (SUD). Healthcare providers approach the challenges of patient management with different skills, comfort levels, and viewpoints. Individuals in recovery also provide crucial perspectives relevant to the complex aspects of the drug epidemic. The purpose of this study was to determine if perceptions of SUD diverge among individuals in recovery, physicians, nurses and medical students. Methods A survey consisting of 29 Likert statements was deployed to physicians, nurses, medical students, and persons with SUD in recovery. Respondents were asked to rate their level of agreement on statements about SUD such as treatment, stigma, medications for opioid use disorder (MOUD), naloxone kits, safe injection sites, and methamphetamine usage. Separate Welch's analysis of variances (ANOVAs) were conducted to determine differences between the respondent groups and each statement. For any statistically significant findings, Games-Howell post-hoc analyses were employed. Results A total of 523 individuals provided survey responses: individuals in recovery ( n = 111), physicians ( n = 113), nurses ( n = 206), and medical students ( n = 93). Survey results revealed the majority of items had statistically significant differences in respondent groups. Perceptions diverged on items related to treatment, stigma, MOUD, take-home naloxone kits, safe injection sites, needle exchange programs, and methamphetamine. Conclusion As healthcare providers and policymakers develop treatment strategies to engage those with SUD in quality treatment, they will benefit from understanding how different viewpoints on SUD affect treatment for these individuals. These attitudes impact stigma, willingness to prescribe new treatments, and development of clinical relationships. The insight from this study allows for important discussions on the substance use health crisis and further inquiry on why these differences exist and how the diverging viewpoints may impact the lives of persons with SUD.
Magnetic structure and crystal field excitations of NdOs2Al10: a neutron scattering study
Authors: Ritter C , Adroja D T , Le M D , Muro Y , Takabatake T 
Published: March 2021

Abstract
We have investigated the magnetic properties of a polycrystalline sample of NdOs2Al10 using neutron diffraction and inelastic neutron scattering, magnetic susceptibility and heat capacity measurements. The magnetic susceptibility data reveal an antiferromagnetic transition at T
N1 = 2.2 K while the heat capacity data which extend to lower temperatures show a further transition at T
N2 = 1.1 K. The INS measurements detect four well-resolved crystal field excitations at 7.4, 12.4, 17.6 meV and 19.2 meV at 5 K. The positions and intensities of the observed CEF excitations and the temperature dependence of previously published single crystal susceptibility data are analysed based on the orthorhombic CEF model of the J = 9/2 ground state multiplet of Nd3+ ion. The neutron diffraction study reveals the magnetic structure at T = 1.6 K to be of sine wave type (κ = [0, 0.723, 0]) with an ordered state moment of μ
Nd
3+ = 1.59(1) μ
B aligned along the a-axis in agreement with the single ion crystal field anisotropy. This indicates that the magnetism of NdOs2Al10 is governed by the RKKY interactions in agreement with other RT
2Al10 (R = Nd, Sm, Tb, T = Fe, Ru and Os), but different to that of R = Ce based compounds where anisotropic two ions interaction as well as Kondo interaction govern the anomalous direction of the ordered state moment.
De novo synthesis of pH-responsive, self-assembled, and targeted polypeptide nano-micelles for enhanced delivery of doxorubicin
Authors: Zhu Long-Bao , Xu Wen-Liang , Zhang Wei-Wei , Wu Ming-Cai , Li Wan-Zhen , Ge Fei , Tao Yu-Gui , Song Ping 
Published: March 2021

Abstract
Doxorubicin (DOX) is a commonly used anticancer drug, but it is inefficient as a therapeutic due to a lack of targeting. Peptide-tuned self-assembly of DOX offers a strategy to improve targeting for greater efficacy. In this work, we designed and prepared an amphiphilic tumor cell-targeting peptide, P14 (AAAAFFFHHHGRGD), able to encapsulate DOX by self-assembly to form tumor cell-targeting and pH-sensitive nano-micelles. The results showed a critical P14-micelle concentration of 1.758 mg l−1 and an average particle size of micelles of 121.64 nm, with entrapment and drug-loading efficiencies of 28.02% ± 1.35% and 12.06% ± 0.59%, respectively. The prepared micelles can release 73.52 ± 1.27% DOX within 24 h in pH 4.5 medium, and the drug cumulative release profile of micelles can be described by the first-order model. Compared with free DOX, the micelles exhibited an increased ability to inhibit tumor cell growth and cause tumor apoptosis in vitro, with IC50 values of DOX and P14-DOX micelles against human breast cancer cells (MCF-7) of 0.91 ± 0.07 and 0.75 ± 0.06 μg ml−1, respectively, and cellular apoptotic rates of DOX and P14-DOX micelles of 70.3% and 42.4%, respectively. Cellular uptake experiments revealed high concentrations of micelles around and inside MCF-7 cells, demonstrating that micelles can target tumor cells. These results indicate the excellent potential for the application of this amphiphilic peptide as a carrier for small-molecule drugs and suggest a strategy for the design of effective anti-tumor drugs.
Noninvasive quantification of nonhuman primate dynamic 18F-FDG PET imaging
Authors: Chen Xueqi , Zhang Sulei , Zhang Jianhua , Chen Lixin , Wang Rongfu , Zhou Yun 
Published: March 2021

Abstract

18F-FDG uptake rate constant Ki
is the main physiology parameter measured in dynamic PET studies. A model-independent graphical analysis using Patlak plot with plasma input function (PIF) is a standard approach used to estimate Ki

. The PIF is the 18F-FDG time activity curve (TAC) in plasma that is obtained by serial arterial blood sampling. The purpose of the study is to evaluate a Patlak plot-based optimization approach with reduced blood samples for noninvasive quantification of dynamic 18F-FDG PET imaging. Eight 60 min rhesus monkey brain dynamic 18F-FDG PET scans with arterial blood samples were collected. The measured PIF (mPIF) was determined by arterial blood samples. TACs of seven cerebral regions of interest were generated from each study. With a given number of blood samples, the population-based PIF (pPIF) was determined by either interpolation or extrapolation method using scale calibrated population mean of normalized PIF. The optimal sampling scheme with given blood sample size was determined by maximizing the correlations between the Ki
estimated from pPIF and those obtained by mPIF. A leave-two-out cross-validation method was used for evaluation. The linear correlations between the Ki
estimates from pPIF with optimal sampling schemes and those from mPIF were: Ki
(pPIF 1 sample at 40 min) = 1.015 Ki
(mPIF) − 0.000, R
2 = 0.974; Ki
(pPIF 2 samples at 35 and 50 min) = 1.052 Ki
(mPIF) − 0.001, R
2 = 0.976; Ki
(pPIF 3 samples at 12, 40, and 50 min) = 1.030 Ki
(mPIF) − 0.000, R
2 = 0.985; and Ki
(pPIF 4 samples at 10, 20, 40, and 50 min) = 1.016 Ki
(mPIF)- 0.000, R
2 = 0.993. As the sample size became greater or equal to 4, the Ki
estimates from pPIF with the optimal protocol were almost identical to those from mPIF. The Patlak plot-based optimization approach is a reliable method to estimate PIF for noninvasive quantification of non-human primate dynamic 18F-FDG PET imaging and is potentially extendable to further translational human studies.
Solving the volumetric modulated arc therapy (VMAT) problem using a sequential convex programming method
Authors: Dursun Pınar , Zarepisheh Masoud , Jhanwar Gourav , Deasy Joseph O 
Published: March 2021

Abstract
The volumetric modulated arc therapy (VMAT) problem is highly non-convex and much more difficult than the fixed-field intensity modulated radiotherapy optimization problem. To solve it efficiently, we propose a sequential convex programming algorithm that solves a sequence of convex optimization problems. Beginning by optimizing the aperture weights of many (72) evenly distributed beams using the beam’s eye view of the target from each direction as the initial aperture shape, the search space is constrained to allowing the leaves to move within a pre-defined step-size. A convex approximation problem is introduced and solved to optimize the leaf positions and the aperture weights within the search space. The algorithm is equipped with both local and global search strategies, whereby a global search is followed by a local search: a large step-size results in a global search with a less accurate convex approximation, followed by a small step-size local search with an accurate convex approximation. The performance of the proposed algorithm is tested on three patients with three different disease sites (paraspinal, prostate and oligometastasis). The algorithm generates VMAT plans comparable to the ideal 72-beam fluence map optimized plans (i.e. IMRT plans before leaf sequencing) in 14 iterations and 36 mins on average. The algorithm is also tested on a small down-sampled prostate case for which we could computationally afford to obtain the ground-truth by solving the non-convex mixed-integer optimization problem exactly. This general algorithm is able to produce results essentially equivalent to the ground-truth but 12 times faster. The algorithm is also scalable and can handle real clinical cases, whereas the ground-truth solution using mixed-integer optimization can only be obtained for highly down-sampled cases.
Effect of single-side stroke limiter on cantilever-based piezoelectric energy harvesting from low frequency vibrations
Authors: Giannopoulos Dimosthenis , Chen Yu-Chen , van der Zwaag Sybrand , Groen Pim 
Published: March 2021

Abstract
Piezoelectric transducers which rely on oscillating cantilever-type beams to harvest mechanical energy locally available in environments have been of great interest as a substitute for batteries. Most of the research efforts focus mostly on designs which aim at resonance matching to achieve maximum energy output without taking the mechanical degradation of the piezoelectric layers into consideration. The purpose of this study is to propose an energy harvesting design which maximizes power output on the long run. Unimorph cantilevers, in which the neutral axis is located at the interface between the soft lead zirconium titanate (PZT) (PZT5A4) layer and the inert substrate (Pernifer 45), are used. An analytical model is developed to quantify the performance of the harvesters as a function of free length and tip mass. An experiment is set up to validate the theoretical model. To reduce the occurrence of cracks induced in the piezoelectric element due to the cyclic nature of the vibrational excitation, a housing acting as mechanical stroke limiter is adopted. The effect of the single-side stroke limiter on the power output and lifetime of the cantilevers is investigated. A 40 mm free length unimorph cantilever with 300 mg mass attached on the tip exhibiting an 18% increase in power output (0.1 mW) is proposed. An improved lifespan of the cantilevers is obtained by limiting the tensile deformation of the piezoelectric layer. This study opens the opportunity for more effective energy harvesting mainly through compressive operation for longer periods.
Dynamical resistivity of a few interacting fermions to the time-dependent potential barrier
Authors: Nandy Dillip K , Sowiński Tomasz 
Published: March 2021

Abstract
We study the dynamical response of a harmonically trapped two-component few-fermion mixture to the external Gaussian potential barrier moving across the system. The simultaneous role played by inter-particle interactions, rapidity of the barrier, and the fermionic statistics is explored for systems containing up to four particles. The response is quantified in terms of the temporal fidelity of the time-evolved state and the amount of quantum correlations between components being dynamically generated. Results are also supported by analysis of the single-particle densities and temporal number of occupied many-body eigenstates. In this way, we show that the dynamical properties of the system crucially depend on non-trivial mutual relations between temporal many-body eigenstates, and in consequence, they lead to volatility of the dynamics. Counterintuitively, imbalanced systems manifest much higher resistivity and stability than their balanced counterparts.
Bubble nucleation as seen by different observers
Authors: Chen Yilin , Vilenkin Alexander 
Published: March 2021

Abstract
Pair production in a constant electric field is closely
analogous to bubble nucleation in a false vacuum. The classical
trajectories of the pairs are Lorentz invariant, but this invariance
should be broken by the nucleation process. Garriga et al. used a model detector, consisting of other particles interacting
with the pairs, to investigate how pair production is seen by
different Lorentzian observers. They found that particles
(antiparticles) of the pair are predominantly observed moving in
the direction of (opposite to) the electric field and concluded
that observers see pairs nucleating preferentially in the detector's
rest frame. Here, we apply this approach to the case where two
detectors moving relative to one another are used to observe the
particle and antiparticle of the same pair. We find that each
detector will still observe nucleation to occur in its rest frame,
regardless of the motion of the other detector. However, if the
relative velocity of the two detectors is sufficiently high, the
particle and antiparticle of the pair can be observed moving towards
one another with arbitrarily large momenta, contrary to the usual
expectation.
Quadratic residue diffuser-resonator (QRD-R) N7: design development of QRD using helmholtz resonator as a well
Authors: Lianto M , Suyatno  , Yuwana Lila , Indrawati Susilo , Prajitno Gontjang 
Published: March 2021

Abstract
Noise is a sound that occurs at incorrect time and place so being a nuisance for human activity. Many efforts have done to try to control the noise. One of them using acoustic material called QRD. QRD is a panel consider of wells with different depth to diffuse the reflected sound. The depth of the walls is calculated by DR. Manfred Schroeder formula. In this research, given a new design combination of QRD with resonator, we call QRD-R. The design consist of N7 QRD panel 35 cm x 35 cm using 5 cm x 35 cm Helmholtz resonator as wells’ ground. The purposes of this research are looking for the effect of QRD-R into SPL distribution and attenuation. The result shows there is attenuation in some frequency and there is diffuse effect because of the diffuser.
Calorific value predicting based on moisture and volatile matter contents using fuzzy inference system
Authors: Variani V I 
Published: March 2021

AbstractThe calorific value is one of the most important characteristics of fuel and it determines the energy content of fuel. In this study, we developed the calorific value predicting program based on proximate analysis of moisture and volatile matter contents using the fuzzy inference system with Tsukamoto method. The moisture and volatile matter contents are used as input and the caloric value as an output. Every fuzzy variable is divided into two linguistic values of fuzzy set i.e. low and high. By evaluation on fuzzy inference rules output, it is found that moisture content has more dominant influence on the calorific value. We also found that the calorific value predicting program has prediction error of about 0 to 1.80 %.
Calibration of Fourier Transform Spectrometer with Blackbody Temperatures Optimally Determined
Authors: Achmadi A , Lee J S , Lim J S , Park S N 
Published: March 2021

Abstract
Spectral responsivity calibrating of Fourier Transform Spectrometer (FTS) is essential for eliminating its systematic error in a ground-based solar observation system. Conventionally the calibration is being done by the three-temperature blackbody method, which gives a spectral responsivity curve of the FTS under calibration in addition to the respective temperatures of the blackbody. It is an advantage that the method does not require pre-information on the blackbody temperatures. However, a combination of three temperatures remains a question in terms of the calibration accuracy. In this paper, the method is applied to a high level of radiance calibration at a wavenumber range from 2000 cm-1 to 8000 cm-1. We propose a technique which determines an optimal combination of the three temperatures in the blackbodies to improve the calibration accuracy of the FTS. Experiments were carried out using four arbitrary combinations of blackbody temperatures settings and an optimal combination of the temperature settings. The result deviation of the optimal combination is less than 0.5% and 3% for measured temperature and spectral radiance respectively, which is better than the arbitrary temperature combinations.
Reservoir Distribution Analysis with Seismic Colored Inversion in Fluvial Deposition Environment West Natuna Basin
Authors: Adriel Wardhana Yunanta , Rosid Syamsu , Purba Humbang 
Published: March 2021

Abstract
West Natuna Basin is a fluvial deposition environment with thin-bed sand reservoir overlapping with shale and shaly sand. Inversion is applied using Seismic Colored Inversion which considered to provide with robust result to identify geological features such as sand channels’ continuity with low-acoustic impedance value alongside zone of interest. Seismic Colored Inversion can be made by inverting seismic data into Acoustic Impedance value which can be obtained by deriving data from well, as control, then utilized it to change the seismic data volume to Acoustic Impedance volume. By performing a lateral slicing along the target horizons, the distribution of sand channels can be identified. Therefore, the promising reservoir zone with low Acoustic Impedance value and the non-reservoir zone can be clearly distinguished. Slicing was performed in A1 horizon, showing low AI sand channels ranging from 12.000 up to 15.500 ((ft/s)*(g/cc)) spreading at the center of the map through the East. Slicing in B2 horizon, showing what appears to be sand channels with low AI value ranging from 16.000 up to 17.800 ((ft/s)*(g/cc)) spreading at the center of the map between the U1 and U3 well, and appears at the Northeast of the map.
Assessing of Land Surface Temperature at the Seulawah Agam Volcano Area using the Landsat Series Imagery
Authors: Zaini Nasrullah , Yanis Muhammad , Marwan  , Isa Muhammad , Meer Freek van der 
Published: March 2021

Abstract
Seulawah Agam, a stratovolcano located in the Aceh province, Indonesia, has not erupted for a long decade after the last eruption in 1839. Thermal infrared remote sensing has been used to determine the land surface temperature (LST) of the volcano area. However, the application of remotely sensed thermal imagery in identifying the LST of the Seulawah Agam volcano, as a precursor of geothermal energy and eruption hazard, has not been completely monitored. The volcano locates relatively close to residential areas, which is a challenging approach to apply thermal bands in determining geothermal identities. In this research, we assess the LST and vegetation index for the detection of the thermal activity of the mountain. These characteristics were retrieved from Landsat 7 ETM+ and Landsat 8 TIRS/OLI imageries, acquired on 23 April 2004 and 16 March 2015 over the Seulawah Agam area, respectively. The normalized difference vegetation index (NDVI) threshold method for emissivity retrieval and split-window algorithm for land surface temperature (LST) were utilized. The results show that the vegetation index changes moderately over the geothermal area, especially at the residential area and western side of the volcano which is in line with a fault structure of the Seulimeum segment. We calculated the LST from the thermal bands of Landsat images 2004 and 2015 with approximate results are 28 – 35 °C. The spatial distribution of surface temperatures at the mountain derived from the classified image 2015 varies considerably compared with the classified image 2004. The surface temperature and vegetation index changes indicate a thermal activity at the Seulawah Agam volcano. It can be concluded that the Landsat 7 ETM+ and Landsat 8 TIRS/OLI imageries are potentially used to study the thermal status of the Seulawah Agam geothermal area.
Correlation Between GGMPlus, Topex and BGI Gravity Data in Volcanic Areas of Java Island
Authors: Suprianto Agus , Supriyadi  , Priyantari Nurul , Eko Cahyono Bowo 
Published: March 2021

Abstract
There are several secondary gravity data on the internet that can be freely accessed and downloaded for research purposes. These gravity data include Topex Gravity data, which provides free-air gravity data, BGI (Observation Gravity data, Free-Air, Complete Anomaly Bouguer), and GGMPlus Gravity Data. GGMPlus gravity data is gravity data with the smallest grid spacing compared to Topex and BGI data, with a grid spacing of approximately 200 meters. This data consists of 5 data sets, including Gravity Disturbance and Gravity Acceleration data. This study correlates between Topex and BGI free-air data with GGMPlus data (Gravity Disturbance and Gravity Acceleration), and BGI Observation Gravity data with GGMPlus (Gravity Disturbance and Gravity Acceleration) data using Pearson correlation technique. Correlated data are gravity data in volcanic regions in Central and East Java. As a result, Gravity Disturbance data on GGMPlus is equivalent to Free-Air Gravity Data on Topex and BGI, while Gravity Accelerations Data is equivalent to BGI Observation Gravity data, with a correlation level above 95%.