bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effectiveness and Safety of Allopurinol, Febuxostat, and Rasburicase in the Prevention of Tumor Lysis Syndrome: A Systematic Review and Network Meta-analysis
Authors: Masamayor Ella Mae I. , Besa John Jefferson V. , Tan-Lim Carol Stephanie C. , Pajes A. Nico Nahar I. , Palileo-Villanueva Lia M. 
Published: July 2022

AbstractAlthough prevention is vital in managing tumor lysis syndrome (TLS), no study directly compares various regimens. This study compared the effectiveness and safety of urate-lowering agents in preventing TLS. Databases were searched for randomized controlled trials involving adults with hematologic or solid malignancies on chemotherapy or cytoreductive agents given allopurinol, febuxostat, or rasburicase alone or in combination at any dose, form, or frequency published in English by December 2021. Outcomes included laboratory and clinical TLS expressed as relative risks, adverse events as described by authors, and mean serum uric acid (sUA) as mean differences of area under the curve. A network of meta-analysis and post-hoc meta-analysis based on TLS risk using a random-effects model was done using Stata 14.0 and Review Manager 5.3, respectively. Certainty of evidence was assessed using the GRADE approach. Three studies with a total of 633 participants given allopurinol, febuxostat, rasburicase, or rasburicase combined with allopurinol were included. Rasburicase is more effective than allopurinol in preventing laboratory TLS (relative risk: 0.51; 95% confidence interval [CI]: 0.32–0.81) based on moderate quality evidence. No significant differences were observed in clinical TLS. Adverse events were attributable to toxicities of chemotherapy. Rasburicase alone or in combination with allopurinol was better than allopurinol or febuxostat alone in reducing sUA level. Febuxostat is more effective than allopurinol in lowering sUA levels among patients at high-risk of TLS (mean difference −125.75; 95% CI: −223.47 to −28.02). Rasburicase may be the most effective agent in preventing laboratory TLS and maintaining low sUA levels.
Sexual Dysfunction and Sexual Concerns among Persons with Disability Due to Myelopathy: A Cross-Sectional Study
Authors: Khanna Meeka , Gupta Anupam , Haldar Partha , Taly Arun B. 
Published: July 2022

Abstract
Background We have very little information about sexual activity and concerns of patients with myelopathy from India.
Objectives This article assesses the sexual dysfunction and sexual concerns among patients with myelopathy due to spinal cord lesion (SCL).
Materials and Methods Single-center, cross-sectional, hospital-based study among male and female patients in the age group of 18 to 50 years, with disability due to myelopathy due to SCL. The data were collected using a self-designed, pretested, semistructured questionnaire by face-to-face interview.
Results Eighty participants were recruited in the study, of which 62 (77.5%) were men. The mean (standard deviation [SD]) age of the participants was 33.7 (8.6) years, and mean (SD) age at time of illness was 31.4 (8.6) years with median duration of 17 months. Among 62 males, psychogenic erection was impaired in 77.2%, reflex erection was impaired in 78.9%, and ejaculation was affected in 70.7%. Orgasm was absent or reduced in 66.1% males. Among 18 female participants, psychogenic genital arousal was reduced in 66.5%, reflex genital arousal was impaired in 55.5%, and orgasm was absent in 38.8% subjects. Sexual desire in these patients was unchanged in 41 (51.2%), and decreased or absent in 39 (48.8%). Sexual activity involvement was there in 46 (57.5%) and 34 (42.5%) had not involved in any kind of sexual activity after injury/illness. The main reasons of noninvolvement in sexual activity were bladder and bowel accidents, spasticity, and difficulty in positioning.
Conclusion Comprehensive neurological rehabilitation should address sexual function of affected individual to allow them highest level of function and quality of life.
Optimization design of the acoustic metamaterial based on the co-simulation method
Authors: Liu Bingfei , Chen Fuxing 
Published: July 2022

Once the structure of a metamaterial is fixed, it has the property of controlling elastic waves in a fixed frequency range. To obtain a metamaterial with an optimal structure, a co-simulation optimization method is proposed in this paper to optimize the acoustic properties of metamaterials. The method combines the advantages of COMSOL, MATLAB, and ISIGHT to obtain optimal results. Due to the application of the algorithms in ISIGHT, different design requirements can be met, such as designing the bandgap frequency of the acoustic metamaterial in a specific range, reducing the frequency of the bandgap, and improving the overall performance of the STL (sound transmission loss) without manual tuning. To test the feasibility of the method, a new double-panel acoustic metamaterial is also proposed, where the bandgap interval of the metamaterial can be designed to nearly 240 Hz by using the thickness of the support columns and the structural parameters of the open split-ring resonance as bandgap optimization parameters. The bandgap interval can also be lowered from 174 to 193 Hz when different optimization targets are chosen. In addition, the overall performance of the STL can be optimized, showing better absorption of low-frequency noise. Therefore, this co-simulation method can achieve multi-parameter optimization for different optimization targets and ensure that the results obtained by the applied algorithm are optimal. Furthermore, this method has great potential in further development as it avoids complex algorithm programming.
Ranging with a frequency-shifted feedback laser using frequency-comb driven phase modulation of injected radiation
Authors: Kim J I , Yatsenko L P , Bergmann K 
Published: July 2022

Abstract
Theoretical and experimental data is presented for the application of an injection-seeded frequency-shifted feedback (FSF) laser for high accuracy ranging. Previous work discussed such a ranging scheme with a phase-modulated single-frequency laser where the phase modulation is done by an electro-optical modulator driven by a single frequency Ω which is swept over a certain bandwidth depending on the given experimental situation. In the present theoretical and experimental work, the phase modulation of the injection laser is done by a frequency comb with temporally fixed frequency components at intervals Ω
d
spanning a bandwidth adapted to the geometry of the object to be measured. It is shown that the superposition of such FSF radiation returning from the object and a reference surface on a detector leads to a train of sinusoidal pulses with an instantaneous frequency Ωinst in the radio-frequency range. The repetition rate of these pulses is Ω
d
and their duration is

<
2
π
/

Ω

d

. The central result of this work is the observation that the path length difference between reference and object surface can be deduced from Ωinst, e.g. by frequency counting. The benefit of this approach lies in the fact that active frequency variation is not needed; all features of the entire system (FSF laser plus phase-modulated injected radiation) are constant in time. Proof-of-concept results using an FSF-laser ranging scheme based on a semiconductor laser are presented.
Sparse norm matrix machine and its application in roller bearing fault diagnosis
Authors: Wang Meng , Xu Haifeng , Pan Haiyang , Xie Nenggang , Zheng Jinde 
Published: July 2022

Abstract
Roller bearings are an important part of rotating machinery, and bearing failure may lead to serious casualties and economic losses. Thus, the implementation of fault diagnosis to ensure the smooth operation of bearings is an essential step to maintain the safe and stable operation of modern machinery and equipment. Recent data-driven intelligent fault diagnosis methods have become widely used. However, traditional machine learning methods are limited when using matrix data, which are forcibly vectorized as the input, resulting in their structure information becoming lost. Moreover, these methods are often disturbed by outliers. To solve those issues, this paper proposes a robust classifier based on a supervised tensor learning framework, a named sparse norm matrix machine (SNMM). SNMM constructs a pair of nonparallel hyperplanes, whose optimization problems are established by using L
1-norm distance and hinge loss. L
1-norm distance can reduce the sensitivity of the model to outliers and improve the robustness of the model. Furthermore, the generated dual quadratic programming problems of SNMM avoid the need to invert the matrix in the calculation process, so as to reduces the amount of calculation and to make SNMM more suitable for large-scale data. The experimental results on roller bearing fault datasets show that SNMM has the highest diagnosis accuracy and superior diagnosis ability.
Design optimization of a viscous clutch with an electrorheological fluid
Authors: Żurowski W , Osowski K , Mędrek G , Musiałek I , Kęsy A , Kęsy Z , Choi S B 
Published: July 2022

Abstract
The article describes design optimization of a viscous disc clutch with an electrorheological (ER) fluid. The design optimization is conducted based on mathematical models of ER fluid and clutch geometry. As important issues for the optimal design, the assumed values are: the torque transferred by the clutch, the dimensions of the clutch and the steady-state operating temperature of the clutch. The assumed design variables are: the angular velocity of the input shaft, the number of working gaps of the clutch and the selected dimensions of the clutch. The aim of the design optimization is to search for design variables such as the angular velocity of the input shaft, the number of working gaps of the clutch and the selected dimensions of the clutch, for which the clutch transfers the highest possible torque, while the dimensions of the clutch are small and the steady-state operating temperature is low. The design optimization is conducted searching at least two different objective functions created taking into account the volume, the transferred torque and the steady-state operating temperature of the clutch. Two numerical methods are used: the Monte Carlo method and the Genetic Algorithm method. The optimization calculations are performed for two sets of design variables, consisting of three and eight elements, and a final prototype designed via the optimization is depicted with the principal design parameters.
Sculpting bosonic states with arithmetic subtractions
Authors: Zaw Lin Htoo , Lasmar Zakarya , Nguyen Chi-Huan , Tseng Ko-Wei , Matsukevich Dzmitry , Kaszlikowski Dagomir , Scarani Valerio 
Published: July 2022

Abstract
Continuous-variable (CV) encoding allows information to be processed compactly and efficiently on quantum processors. Recently developed techniques such as controlled beam-splitter operations and the near deterministic phonon subtractions make trapped ion systems attractive for exploring CV quantum computing. Here we propose a probabilistic scheme based on the boson sculpting technique for generating multipartite highly entangled states of motional modes of trapped ion systems. We also investigate the effects of decoherence on the fidelity of the generated state by performing numerical simulations with realistic noise parameters. Our work is a step towards generating multipartite CV entanglement.
Scattering imaging as a noise removal in digital holography by using deep learning
Authors: Liao Meihua , Feng Yuliu , Lu Dajiang , Li Xianye , Pedrini Giancarlo , Frenner Karsten , Osten Wolfgang , Peng Xiang , He Wenqi 
Published: July 2022

Abstract
Imaging through scattering media is one of the main challenges in optics while the deep learning (DL) technique is well known as one of the promising ways to handle it. However, most of the existing DL approaches for imaging through scattering media adopt the end-to-end strategy, which significantly limits its generalization capability for various or dynamic scattering media. In this work, we propose an alternative DL-based method to achieve the goal of imaging through different scattering media under the framework of off-axis digital holography. As a result, the severe ill-posed inverse problem in scattering imaging is simplified as a relatively easy denoising issue for a deteriorated hologram. The experimental results of the proposed method show good generalization for not only different scattering media but also different types of objects.
Stimulated perturbation on the neutron flux distribution in the mutually-dependent source-to-absorber geometry
Authors: Mahmoud Ateia W , Elmaghraby Elsayed K , Solieman A H M , Salama E , Elghazaly A , El-fiki S A 
Published: July 2022

Abstract
The complexity of the neutron transport phenomenon throws its shadows on every physical system wherever neutron is produced or absorbed. The Monte Carlo N-Particle Transport Code (MCNP) was used to investigate the flux perturbations in the neutron field caused by an absorber. The geometry of the present experiment was designed to reach a simulation of an isotopic neutron field. The neutron source was a 241 AmBe with the production physics of neutrons being dependent only on alpha-beryllium interaction and is independent of what happened to the neutron after it was generated. The geometries have been designed to get a volume of uniform neutron densities within a spherical volume of radius 15 cm in every neutron energy group up to 10 MeV. Absorbers of different dimensions were placed within the volume to investigate the field perturbation. Different neutron absorbers were used to correlate the phenomenon to the integral cross-section of the absorber. Flux density inside and outside the absorber samples was determined, while the spatial neutron flux distribution produced by the AmBe source without an absorber was taken as a reference. This study displayed that absorbers of various dimensions perturb the neutron field in a way that is dependent on the absorption and scattering cross-sections, particularly in the neutron resonance region. Unlike the simple picture of reducing the number density of neutrons, the perturbation was found to influence the moderation of neutrons in the medium, significantly above 1 MeV.
Thin-shell wormhole supported by exotic dust in gravity coupled with nonlinear electrodynamics
Authors: Amirabi Z , Mazharimousavi S Habib 
Published: July 2022

Abstract
In the context of the spontaneously broken scale-invariant nonlinear electrodynamic introduced by Guendelman et al with a magnetic dominance feature, we construct a thin-shell wormhole. The surface tension of the thin-shell wormhole is zero in static configuration implying the exotic matter present at the throat is a cloud of exotic dust. We study the dynamic of the throat as well as the radial linear perturbation to investigate its mechanical stability. In the former case, the equation of state of the fluid on the shell is kept unchanged and upon our calculation the TSW is unstable. For the latter case, we consider a variable equation of state for the dynamic phase of the wormhole and with detailed analysis, it is shown that the TSW may be stable.
Tadpole cosmology: self tuning without degeneracy
Authors: Appleby Stephen , Bernardo Reginald Christian 
Published: July 2022

AbstractDegeneracy is a method to accommodate exact, low energy vacuum states in scalar-tensor gravitational models despite the presence of an arbitrarily large vacuum energy. However, this approach requires very particular combinations of scalar field and metric couplings in the Lagrangian. In this work we study departures from the restrictive degeneracy condition — starting from a fiducial model containing an exact Minkowski space solution, we break the degeneracy condition in numerous simple ways to test if the resulting models maintain certain key features — specifically the dynamical cancellation of a large vacuum energy by the scalar field and the existence of a low energy vacuum state. We highlight the role the tadpole plays in eliminating the fixed points of the dynamical system, generically rendering both the scalar field and metric time dependent. Our results indicate that when violating the degeneracy condition but preserving shift symmetry, the metric maintains an asymptotic Minkowski state, irrespective of the presence of the cosmological constant. In contrast, when shift symmetry is also broken the asymptotic behaviour can radically alter. Regardless, the non-degenerate models in this work share an attractive quality; harboring low energy, late-time asymptotic states that are independent of the vacuum energy. The tadpole allows for a broader class of non-degenerate, self-tuning models than was previously realized.
Real-space Bell inequalities in de Sitter
Authors: Espinosa-Portalés Llorenç , Vennin Vincent 
Published: July 2022

Abstract
Bell-inequality violations reveal the presence of quantum correlations between two particles that have interacted and then separated. Their generalisation to quantum fields is necessary to study a number of field-theoretic setups, such as cosmological density fluctuations. In this work, we show how Bell operators can be constructed for quantum fields in real space, and for Gaussian states we compute their expectation value in terms of the field power spectra. We then apply our formalism to a scalar field in de-Sitter space-time. We find that, in spite of the tremendous production of entangled particles with opposite wave momenta on large scales, Bell inequalities are not violated in real space. The reason is that, when considering measurements of a field at two distinct locations in real space, one implicitly traces over the configuration of the field at every other location, leading to a mixed bipartite system. This “effective decoherence” effect is responsible for the erasure of quantum features, and casts some doubts on our ability to reveal the quantum origin of cosmological structures. We finally discuss these results in the light of quantum discord.
Watts-level ultraviolet-C LED integrated light sources for efficient surface and air sterilization
Authors: Luo Wei , Li Tai , Li Yongde , Wang Houjin , Yuan Ye , Liu Shangfeng , Wang Weiyun , Wang Qi , Kang Junjie , Wang Xinqiang 
Published: July 2022

Abstract
With the epidemic of the coronavirus disease (COVID-19) infection, AlGaN-based ultraviolet-C light emitting diodes (UVC-LEDs) have attracted widespread attention for their sterilization application. However, the sterilization characters of high power integrated light sources (ILSs) haven’t been widely investigated before utilizing in public sanitary security. In this work, by integrating up to 195 UVC-LED chips, high power UVC-LED ILSs with a light output power (LOP) of 1.88 W were demonstrated. The UVC-LED ILSs were verified to have efficient and rapid sterilization capability, which have achieved more than 99.9% inactivation rate of several common pathogenic microorganisms within 1 s. In addition, the corresponding air sterilization module based on them was also demonstrated to kill more than 97% of Staphylococcus albus in the air of 20 m3 confined room within 30 min. This work demonstrates excellent sterilization ability of UVC-LED ILSs with high LOP, revealing great potential of UVC-LEDs in sterilization applications in the future.
Improving the incorporation of indium component for InGaN-based green LED through inserting photonic crystalline in the GaN layer
Authors: Li Yunqi , Wang Xinwei , Zhang Ning , Wei Xuecheng , Wang Junxi 
Published: July 2022

Abstract
We report on the effect of inserted photonic crystalline (Ph-C) in the GaN epitaxial layer on the incorporation of the indium component for the InGaN-based green LED. The adoption of Ph-C in the GaN layer shifted the Raman peak value of E2 mode of GaN to lower frequency and resulted in a tensive stress relief. The stress relief can be attributed to strained lattices restoring in the matrix of Ph-C and the GaN pseudo-epitaxy over the air-void of the Ph-C. Moreover, the HRXRD rocking curves and AFM results show that the insertion of Ph-C also improves the crystal quality. With the inserted Ph-C, the indium component in the multiple quantum wells of the green LED (Ph-C LED) was enhanced. This resulted in a 6-nm red-shift of the peak wavelength. Furthermore, the LOP of the Ph-C LED was enhanced by 10.65% under an injection current of 20 mA.
3D Modelling of Meteorite from Astomulyo Village, Lampung, Indonesia by Close Range Photogrammetry (CRP) Methods
Authors: Harbowo D G , Sitorus J H , Agustina L K , Muztaba R , Julian T , Malasan H L 
Published: July 2022

Abstract
This research was conducted to 3D model our meteorite collection based on photo-capturing. This meteorite are from Astomulyo, Central Lampung, Indonesia. It entry the earth's atmosphere and was found on January 28, 2021. The chance of object degradation nearly appears over time, so It is very urgent to obtain the 3D model of the object for further research necessary. 3D modelling was carried out using a non-metric camera to conduct the close-range photogrammetry method. It applies to modelling the objects based on photo data using the concept of collinearity by using a central projection system on the camera to record. The collinearity will produce an object point between the camera center and the object cloud point. Hence, this process forms the object model from the appropriate image projection, the tie point with the triangular irregular network model. As a result, it produces the DTM (Digital Terrain Model) object formation using stand-alone photogrammetric software, raster graphics, and 3D modelling software.
Lettuce (Lactuca sativa L) Growth in Aeroponic Systems with Differences in Nutritional Time
Authors: Awalina R , Erona M , Rusnam  
Published: July 2022

Abstract
Lettuce is one of the vegetables that are often found and consumed by the people of Indonesia, but the demand for lettuce is always not fulfilled because the low production. Aeroponic system is one of the alternatives to solve this problem, because the aeroponic system has many advantages and does not require a large area of land. The purpose of this study was to observe differences in the timing of nutrition in lettuce plants with an aeroponic system. The study used a randomized block design (RBD) with a single factor, consisting of 6 treatments with 5 replications, so there were 60 experimental units. [t1= 30 seconds (on) : 10 minutes (off)]; [t2= 30 seconds (on) : 15 minutes (off)]; [t3= 30 seconds (on) : 20 minutes (off)]; [t4= 30 seconds (on) : 25 minutes (off)]; [t5= 30 seconds (on) : 30 minutes (off)]; [t6= (Non-Stop)]. The results showed that the difference in time of giving nutrition to lettuce in the aeroponic system affected the growth of lettuce and resulted in differences in plant height, number of leaves, stem diameter, leaf area and fresh weight for each lettuce plant. Treatment t6 (continuous nutrition / Non Stop) was known to be the optimum treatment which produced lettuce with a fresh weight of 207.5 g.