bluuebunny/crossref_metadata_2025_split huggingface dataset:
Supplementary comparison SIM.QM-S9 - biogas
Authors: Iglesias Cristiane R A C , Fioravante Andreia L , Ribeiro Claudia C , Mello Viviane F , Delgado Jorge Koelliker , Ramírez Flores Diana Gabriela , Murillo Francisco Rangel , Ramírez Nambo Carlos , Puelles Maria Mabel , Luján Chamorro Andrea , Sarzuri Yamil Acho 
Published: November 2023

Main text
Supplementary comparison of amount fractions methane, nitrogen, carbon dioxide, hydrogen and oxygen (constituting a mixture of biogas).
To reach the main text of this paper, click on Final Report. Note that this text is that which appears in Appendix B of the BIPM key comparison database https://www.bipm.org/kcdb/.
The final report has been peer-reviewed and approved for publication by the CCQM, according to the provisions of the CIPM Mutual Recognition Arrangement (CIPM MRA).
Combination of anti-miR19a-3p polyplex plus doxorubicin for breast cancer in 2D culture and apoptosis assay in 3D spheroids in a microwell device
Authors: Kheiri Yeghaneh Azar Behjat , Nourbakhsh Mitra , Nasiraee M R , Mousavizadeh Kazem , Madjd Zahra , Ajoudanian Mohammad , Saeedi Sara , Vahabi Amirhossein , Hamblin Michael R , Karimi Mahdi 
Published: November 2023

Abstract
One of the most common cancers and a main cause of death worldwide among women is breast cancer (BC). Combination therapy is being widely investigated to reduce the dose of chemotherapy drugs, prevent the development of drug resistance, and improve treatment outcomes. Here we tested PEI-PBA-SAP-F15 (PPSF) polymeric nanoparticles to efficiently deliver a microRNA antagonist (anti-miR19a-3p) to BC cell lines. We evaluated the combination of anti-miR19a-3p plus doxorubicin (DOX) in both 2D and 3D cell cultures. We cultured 3D tumor spheroids in an innovative microfluidic device that was fabricated using a 3D printing system. The PPSF polyplexes had the correct size and zeta potential to efficiently transfer anti-miR19a-3p into MCF7 cells. The expression level of phosphatase and tensin homolog (PTEN), the attainment gene of microRNA-19a-3p was increased. PTEN up-regulation inhibited cell migration and caused cell cycle arrest. Apoptosis was also significantly induced with the combination treatment. Confocal microscopy studies revealed that the population of dead cells was in an important degree higher in MCF7 spheroids transfected with anti-miR19a-3p-PPSF plus DOX.
Theoretical investigation on the optical response of the artificial magnetic–plasmonic nanoclusters
Authors: Sun Jiajia , Shi Zongqian , Liu Xiaofeng , Zhong Mingjie , Chen Shuang , Ma Yuxin , Li Ruohan , Xin Shumin 
Published: November 2023

Abstract
Bottom-up nanofabrication, organizing colloidal nanoparticles into ordered clusters with structural and functional complexity, provides an alternative to yield nanometric smart structures unachievable in traditional top-down approaches. Those remarkable structures assembled of colloidal nanoparticles possessing optical properties feature exotic optical responses under the illumination of incident light, showing highly dependent on the particle separation, composition, and arrangement. Here, the nanoscale electromagnetic coupling in magnetic–plasmonic nanoparticle clusters is analyzed by using a 3D full-wave computational model, and the mechanism of the resonances in a split-ring resonator out of magnetic–plasmonic nanoparticle building blocks is also illustrated. In particular, once assembling those artificial molecules (split-ring resonator) into secondary metamaterial superstructures, such as split-ring resonator dimer and Y-shaped structures, a series of exotic optical responses are presented due to the greatly enhanced near-field coupling of nanoparticles and the generation of antiparallel ring currents in the asymmetrical superstructure, exhibiting flexible sensitivity to the changes of the surrounding environment. Besides, the H-shaped arrangement exhibits high sensitivity with Q = 50.5 at λ = 2.02 μm. Our finding provides a platform for yielding complex structures with flexible tunability of the optical response through arranging those assembled artificial molecules into complex secondary structures, allowing for the development of smart sensing devices.
DTMSgram: a novel optimal demodulation frequency band selection method for wheelset bearings fault diagnosis under wheel-rail excitation
Authors: Liu Wenpeng , Yang Shaopu , Liu Yongqiang , Gu Xiaohui 
Published: November 2023

Abstract
Due to the influence of the wheel-rail excitation and complex transmission path, the fault signature of wheelset bearings is often obscured by complex background noise, which brings great challenges to the adaptive determination of the informative frequency band (IFB) in envelope analysis. In this paper, the vibration response characteristics of the axle box under wheel–rail excitation are revealed through full-scale bench tests. The experimental results show that tread damage will provoke periodic transient impacts and it has an obvious sparsity in the frequency domain. Inspired by this feature, a DTMSgram method is proposed to enhance the fault feature components of vibration signals through time-domain and frequency-domain noise reduction technology, and improve the accuracy of demodulation frequency band selection. Firstly, the amplitude spectrum of different weight coefficients is used to preprocess the vibration signal and adjust the full band component of the vibration signal. Then, the autocorrelation process is performed on each layer’s narrowband filtered signal envelope in kurtogram to further reduce noise interference from a time-domain perspective. Moreover, a two-dimensional color map is constructed showing the normalized squared envelope spectrum of the IFBs determined simultaneously from the modified signal. Finally, the effectiveness of the proposed method is verified by simulated signal and experimental data of three sets of full-size wheelset bearing systems. The analysis results indicate this proposed method can effectively overcome the influence of complex wheel–rail excitation interference and can diagnose multi-source faults simultaneously.
Hybrid deep multi-task learning radiomics approach for predicting EGFR mutation status of non-small cell lung cancer in CT images
Authors: Gong Jing , Fu Fangqiu , Ma Xiaowen , Wang Ting , Ma Xiangyi , You Chao , Zhang Yang , Peng Weijun , Chen Haiquan , Gu Yajia 
Published: November 2023

Abstract

Objective. Epidermal growth factor receptor (EGFR) mutation genotyping plays a pivotal role in targeted therapy for non-small cell lung cancer (NSCLC). We aimed to develop a computed tomography (CT) image-based hybrid deep radiomics model to predict EGFR mutation status in NSCLC and investigate the correlations between deep image and quantitative radiomics features. Approach. First, we retrospectively enrolled 818 patients from our centre and 131 patients from The Cancer Imaging Archive database to establish a training cohort (N = 654), an independent internal validation cohort (N = 164) and an external validation cohort (N = 131). Second, to predict EGFR mutation status, we developed three CT image-based models, namely, a multi-task deep neural network (DNN), a radiomics model and a feature fusion model. Third, we proposed a hybrid loss function to train the DNN model. Finally, to evaluate the model performance, we computed the areas under the receiver operating characteristic curves (AUCs) and decision curve analysis curves of the models. Main results. For the two validation cohorts, the feature fusion model achieved AUC values of 0.86 ± 0.03 and 0.80 ± 0.05, which were significantly higher than those of the single-task DNN and radiomics models (all P < 0.05). There was no significant difference between the feature fusion and the multi-task DNN models (P > 0.8). The binary prediction scores showed excellent prognostic value in predicting disease-free survival (P = 0.02) and overall survival (P < 0.005) for validation cohort 2. Significance. The results demonstrate that (1) the feature fusion and multi-task DNN models achieve significantly higher performance than that of the conventional radiomics and single-task DNN models, (2) the feature fusion model can decode the imaging phenotypes representing NSCLC heterogeneity related to both EGFR mutation and patient NSCLC prognosis, and (3) high correlations exist between some deep image and radiomics features.
Review and recommendations on deformable image registration uncertainties for radiotherapy applications
Authors: Nenoff Lena , Amstutz Florian , Murr Martina , Archibald-Heeren Ben , Fusella Marco , Hussein Mohammad , Lechner Wolfgang , Zhang Ye , Sharp Greg , Vasquez Osorio Eliana 
Published: November 2023

Abstract
Deformable image registration (DIR) is a versatile tool used in many applications in radiotherapy (RT). DIR algorithms have been implemented in many commercial treatment planning systems providing accessible and easy-to-use solutions. However, the geometric uncertainty of DIR can be large and difficult to quantify, resulting in barriers to clinical practice. Currently, there is no agreement in the RT community on how to quantify these uncertainties and determine thresholds that distinguish a good DIR result from a poor one. This review summarises the current literature on sources of DIR uncertainties and their impact on RT applications. Recommendations are provided on how to handle these uncertainties for patient-specific use, commissioning, and research. Recommendations are also provided for developers and vendors to help users to understand DIR uncertainties and make the application of DIR in RT safer and more reliable.
A fully kinetic study on the plasma detachment processes in the collisionless propulsive magnetic nozzle
Authors: Chen Zhiyuan , Wu Kunlong , Wang Yibai , Ren Junxue , Wu Peng , Zhang Guangchuan , Li Min , Tang Haibin 
Published: November 2023

Abstract
A fully kinetic axisymmetric particle-in-cell model is employed to simulate and study the detachment processes of electrons in the propulsive magnetic nozzle. The detachment ratio is adopted to evaluate the extent to which the electrons detach from the magnetic field. The theoretical expression for the electron detachment ratio is derived and indicates that the electron detachment is driven by two mechanisms: inertia effect and gyro-viscous effect. The simulation results show that the detachment direction of electrons are outward in the upstream and inward in the downstream. In addition, the dominating detachment mechanisms in the upstream is inertia effect, while the gyro-viscous effect is equally, if not more, important as the inertia effect in the downstream, especially around the periphery of the magnetic nozzle under lower magnetic field strength. Moreover, the electron detachment is found to contribute to no more than 20% of the axial flux of plasma in the downstream, while the majority of it is caused by the electrons flowing along the magnetic field.
Thermodynamic state convertibility is determined by qubit cooling and heating
Authors: Theurer Thomas , Zanoni Elia , Maria Scandolo Carlo , Gour Gilad 
Published: November 2023

Abstract
Thermodynamics plays an important role both in the foundations of physics and in technological applications. An operational perspective adopted in recent years is to formulate it as a quantum resource theory. At the core of this theory is the interconversion between athermality states, i.e. states out of thermal equilibrium. Here, we solve the question of how athermality can be used to heat and cool other quantum systems that are initially at thermal equilibrium. We then show that the convertibility between quasi-classical resources (resources that do not exhibit coherence between different energy eigenstates) is fully characterized by their ability to cool and heat qubits, i.e. by two of the most fundamental thermodynamical tasks on the simplest quantum systems.
Cooperative behaviors in spatial multi-game based on Hawkes processes
Authors: Yan Shiqi , Luo Chao 
Published: November 2023

Abstract
As for collective behaviors in reality, the occurrence of similar events in group is not independent, in which the occurrence historical events, such as frequencies, interval time, etc, would have an incentive effect on their recurrence probability. In spired by this, Hawkes process is first introduced into evolutionary game model. Different from the existing works, the game behaviors in a networked group change from certainty to probabilistic behaviors affected by historical events. Specifically, an incentive effect will occur with the occurrence of game behaviors as well as decay with the lapse of time. Based on the above probabilistic game mechanism, a multi-game model is proposed, where players are assumed to be emotional for their owned resources. In general, the results of game behaviors would determine the allocation of resources, and the owned quantities of resources would affect the emotion of players. As a feedback loop, it finally affects the game strategy of players. In experiments, the mutual effect of limited resources and game strategy based on probabilistic game mechanism is quantitatively studied. Meanwhile, a phase transition of cooperative behaviors is explored, which is mainly arising from the probabilistic game processes and the evolving emotions of players.
Multilayer graphene and black phosphorus thin-film frequency doublers using direct-current bias
Authors: Mao Mengxin , Fang Yong , Wei Haoxing , Huang Zunkai , Xu Haizhou 
Published: November 2023

Abstract
Multilayer graphene and black phosphorus films exhibit strong nonlinearity under voltage modulation. In this paper, according to the nonlinear characteristics of graphene and black phosphorus, the frequency doubling characteristics of graphene and black phosphorus are introduced, and the nonlinear SDD model of graphene is established in EDA, and the simulation results are basically consistent with the measured results. Under the regulation of DC bias voltage, the second harmonic output power of both graphene frequency doubler and black phosphorus frequency doubler is larger than their third harmonic output power when the operating frequency is 800–1100 MHz. The experimental results show that the minimum conversion loss of the black phosphorus multiplier is 24.22 dB when the input voltage is 0.9 V and the input power is 12 dBm, and the minimum conversion loss of the graphene multiplier is 32.15 dB when the input voltage is 1.6 V. The experimental results show that the conversion loss of the black phosphorus multiplier is better than that of the graphene multiplier, and the conversion efficiency is higher.
Dye-sensitized solar cells containing photoelectrodes with TiO2 grids
Authors: Chiang Yu-Chih , Lee Chia-Rong , Huang Chia-Yi 
Published: November 2023

Abstract
A 90-nm-thick TiO2 grid is created through photolithography, sputtering and lift-off process in this study. A nanoporous film is deposited on the TiO2 grid. The grid induces a protrusive structure in the nanoporous film. Experimental results demonstrate that introducing the TiO2 grid into a dye-sensitized solar cell increases its power conversion efficiency by 25% compared to a dye-sensitized solar cell lacking a TiO2 grid. Consequently, the TiO2 grid proves beneficial in augmenting the power conversion efficiency of the dye-sensitized solar cell. The increased power conversion efficiency of the dye-sensitized solar cell containing the TiO2 grid is attributed to the large surface area and directional electron transport channels of the protrusive structure. The TiO2 grid offers advantages such as simple fabrication, cost-effective production and improved power conversion efficiency.
Gate electrode stacked source/drain SON trench MOSFET for biosensing application
Authors: Mishra Sikha , Mohanty Soumya S , Mishra Guru Prasad 
Published: November 2023

Abstract
This work inspects a dielectrically modulated (DM) stacked source/drain SiGe dual-metal trench gate silicon on nothing (SON) metal–oxide–semiconductor field-effect transistor (SiGe-DMTG SON MOSFET) biosensor to enhance the sensing capability of the device. A nano-cavity is implanted in the either side of gate area for immobilization of biomolecules which can modulate the gate capacitance and dielectric constant of the nanocavity area. Thus the device undergoes a threshold voltage shift which has a great impact on device sensitivity. So SiGe-DMTG SON MOSFET biosensor is proposed to identify the sensing performance of various analytes like Uricase (k = 1.54), Streptavidin (k = 2.1), Biotin (k = 2.63), 3-aminopropyltriethoxysilane (APTES) (k = 3.57) and protein (k = 8) using DM technique. The electrostatic properties of the neutral biomolecules such as electrostatic potential, electric field, On current, switching ratio, threshold voltage, On current sensitivity, threshold voltage sensitivity, and subthreshold performance of SiGe-DMTG SON MOSFET biosensor have been evaluated using 2D ATLAS device simulator. Further, the parasitic capacitances of the proposed biosensor has been investigated for different biomolecules in the nano-cavity region in order to observe the sensing performance of the device. From the result analysis it has been observed that for protein (k = 8), the proposed SiGe-DMTG SON MOSFET biosensor offers a threshold voltage sensitivity of 0.581 and On current sensitivity of 1.765. Apart from this, protein (k = 8) offers a strong threshold voltage shift of 104.8 mV with respect to k = 1 shows best suited for biosensing application.
Normal form for bifurcations of ion acoustic traveling waves in positive-negative ion species plasmas
Authors: Alinejad H , Poria S 
Published: November 2023

Abstract
The normal form for saddle-node and transcritical bifurcation of nonlinear ion-acoustic waves is derived in complex negative-positive plasmas. The physical parameters of four different kinds of multi-ion plasmas which mainly comprise of positive ions (i.e. Xe+ and Ar+) with a minority constituent of negative ions (i.e.

SF

6

−

and F
−), inspired from the experimental studies, are examined on the types of bifurcations and nonlinear wave profiles. We find that such multi-ion plasmas admit transcritical bifurcation preceding the onset of saddle-node bifurcation. The fractional concentration of negative ions controls the dynamics of ion acoustic traveling waves and causes the appearance of solitary structures and supernonlinear periodic waves. When two nonlinear waves disappear via a saddle-node bifurcation on increasing the negative ion concentration, a nonlinear periodic wave is formed. Further, we reveal critical values of ion density marking the transition between nonlinear modes. Such critical points that can be detected analytically give rise to the propagation of new solitary structures. The results obtained here not only limited to laboratory plasmas, but can also be applied to explain wave excitations in space plasma environments.
The application of differential constraint method for the solution of non-homogeneous generalized Riemann problem
Authors: Gaurav  , Singh L P , Pradeep  
Published: November 2023

Abstract
This paper reports the solution to the Non-homogeneous Riemann problem by applying the approach of differential constraint for the one-dimensional (1 − D) generalized Chaplygin gas equations with non-constant initial data. Here we take source term as a Coulomb type constant frictional term. We reduced the governing non-homogeneous model into a homogeneous one by introducing a new velocity variable. By virtue of this advantage of frictional type source term, we would easily determine the solution of reformulated homogeneous governing model. We have computed the differential constraint and its consistency conditions for the specified model. Moreover, we have derived here the compatibility condition between the governing model and the differential constraints. The solutions to generalized Riemann problem for the 1 − D Euler’s equation of governing gas model are obtained as well as for the smooth and non-constant initial conditions the comprehensive overview of the solutions is studied.
Temporal evolution and spectral characteristics of dual field in a double-pumped microcavity
Authors: Xu Xin , Ye Huichun , Jin Xueying , Chen Dong , Xia Haojie 
Published: November 2023

Abstract
To generate dual combs for various precision measurements, the temporal evolution and spectral characteristics of dual fields in a double-pumped microcavity are investigated. Results show that by using dual orthogonally polarized pumps, the dual fields can be controlled by regulating the two detunings. The coexistence of solitons and Turing patterns, which is equivalent to dual-frequency combs with a large repetition frequency difference, can be excited. Two positive detuning parameters are similar, and two soliton pulses with identical free spectral ranges and different intensities are formed. Moreover, two weaker positive detunings are beneficial for the dual Turing patterns. Furthermore, breathers and multiple pulses can be excited under special conditions. The effects of dispersion and pump intensity on the dual fields are also studied. Dual combs exist in an anomalous dispersion regime and the strong negative dispersion only leads to DC fields. For the pump intensity, with the increase of pumping power, one field experiences breathers and variable multi-pulse in sequence while the other field maintains Turing patterns. The results of this study provide a new approach to excite dual-frequency combs by using a single microcavity.
Experimental characterization of the quasi-coherent mode in EDA H-Mode and QCE scenarios at ASDEX Upgrade
Authors: Kalis J. , Birkenmeier G. , Manz P. , Eich T. , Griener M. , Goti R. , Cavedon M. , Gil L. , Faitsch M. , Radovanovic L. , Wendler D. , Wolfrum E. , Stroth U. ,   the ASDEX Upgrade Team,   the EUROfusion MST1 Team
Published: November 2023

Abstract
The quasi-coherent mode (QCM), appearing in enhanced D

α

high confinement mode (EDA H-mode) and quasi-continuous exhaust (QCE) plasmas has been analysed in detail at ASDEX Upgrade via thermal helium beam spectroscopy under various discharge parameters. In both scenarios the QCM appears to be localized close to the separatrix and to propagate in ion diamagnetic direction in the plasma frame. The poloidal wavenumber of the QCM is about

0.025
<

k

θ

ρ

s

<
0.075

and the radial wavenumber is

k

r

≈

0

cm

−
1

. It was found that the plasmas are generally below the ideal MHD limit at the separatrix. All the properties are consistent with ideal, resistive or kinetic ballooning modes. Simultaneous to the appearance of the QCM, higher harmonic modes can be observed in EDA H-modes, which are exclusively visible in magnetic pick-up coils and have toroidal mode numbers of up to n = 10. By performing a bicoherence analysis it was found that the higher harmonic modes and the QCM are coupling, but are disjoint phenomena. Qualitatively, the bandwidth of the QCM serves as a promising distinctive feature between QCE plasmas and EDA H-modes.