bluuebunny/crossref_metadata_2025_split huggingface dataset:
‘HIV made me fabulous’: a qualitative analysis of embodied storytelling in film to address stigma, further understandings of U=U and advance gender equity
Authors: Bhanji Azra , Kaida Angela , Roche Juno , Kilpatrick Edmond , Anam Florence , Nicholson Valerie , Muchenje Marvelous , Brotto Lori A. , Carter Allison 
Published: June 2023

Background Even with the Undetectable equals Untransmittable campaign (U=U) campaign, women living with HIV continue to experience intersecting forms of stigma. We explored how the somatic experiences of viewing a film about U=U and women could help individuals gain deeper understandings of HIV and alter learned prejudices. Methods HIV Made Me Fabulous is a film that utilises embodied storytelling to tell the story of a trans woman living through social and historical traumas of HIV. Four online film screenings and focus group discussions took place between June 2020 and June 2021, with participants attending from Canada, Australia, South Africa, Kenya, Zimbabwe and India. Two sessions were held with women living with HIV (n = 16) and two with HIV-negative individuals (n = 12). Transcripts were analysed via thematic analysis using Lafrenière and Cox’s framework to assess its impact. Results Participants experienced strong, diverse emotional responses and sometimes physical effects from viewing the film. These somatic experiences furthered engagement with key messages in the film, including U=U, intersectional identities, and impacts of patriarchal systems. Women living with HIV commented on unique gendered risks experienced during disclosure, and the pressures of reaching an undetectable viral load. Women also commented how the film resulted in deeper reflection of their deservingness of pleasure. Regardless of HIV status, participants expressed motivation towards influencing change that included addressing biases and sharing U=U with others. Conclusions Embodied storytelling in film is an effective method to counter both intra- and inter-personal HIV-related stigma by provoking responses that enhance compassion for oneself and others.
The geodesic flow of the BGPP metric is Liouville integrable
Authors: Maciejewski Andrzej J , Przybylska Maria , Valent Galliano 
Published: June 2023

Abstract
We prove that the geodesics equations corresponding to the BGPP metric are integrable in the Liouville sense. The

S
O

(
3
,

R

)

symmetry of the model allows to reduce the system from four to two degrees of freedom. Moreover, solutions of the reduced system and its degenerations can be given explicitly or reduced to a certain quadrature. In degenerated cases BGPP metric coincides with the Eguchi–Hanson metric and for this case the mentioned quadrature can be calculated explicitly in terms of elliptic integrals.
Investigation on anchor and base design for aluminum nitride flexural mode resonators
Authors: Yuan Yi , Yang Qingrui , Li Haolin , Shi Shuai , Niu Pengfei , Sun Chongling , Liu Bohua , Zhang Menglun , Pang Wei 
Published: June 2023

Abstract
This paper investigates the impact of base and anchor on the quality factor (Q) of piezoelectric microelectromechanical system (MEMS) tuning fork resonators vibrating in in-plane flexural mode, and proposes a new strategy to improve Q significantly. Finite element method simulation and measured results reveal that base and anchor geometries have a significant impact on the thermoelastic damping (TED) which dominates the overall resonator quality factor. For the first time, we accurately extract Q value related to TED of piezoelectric tuning fork resonators by cryogenic temperature experiment, which is consistent with FEM simulation results. According to the analysis, a wider anchor or a longer base should promote overall Q by restraining the thermal conduction induced by TED. On the other hand, increase of width or length of anchor will force the out-of-plane flexural modes closer to the target mode, reducing the overall Q by multimode effect. With a wide anchor and a pillar structure under the base to suppress multimode effect, the resonator Q could be improved by 65% to more than 11 000 and impedance at series resonant frequency (f
s) could be reduced by 78% to 6.5 kΩ. To our knowledge, the proposed resonator exhibits the highest f× Q and lowest motional impedance among the reported in-plane mode piezoelectric MEMS tuning fork resonators.
Study on the thermoelectric characteristics of the ternary alkali metal compound XMgSb (X = K, Rb, Cs)
Authors: Wang Yue , Zhao Yinchang , Xu Baolong , Ni Jun , Meng Sheng , Dai Zhenhong 
Published: June 2023

Abstract
We conducted a comprehensive analysis of the mechanical, transport, and thermoelectric (TE) characteristics of XMgSb (X = K, Rb, Cs) alkali metal compounds using first-principles calculations, self-consistent phonon theory, pressive sensing lattice dynamics, and the Boltzmann transport equation. Our results show that the very low lattice thermal conductivity of these materials is mainly attributed to the strong anharmonicity of the alkali metal atoms, and the lattice thermal conductivity is negatively correlated with the mass of X atoms. Furthermore, we consider five scattering mechanisms to accurately calculate transport properties and electron relaxation times. Notably, we observed that the large electronic dispersion band near the valence band maximum leads to the high conductivity of these three compounds, with a flat electronic energy band at the Γ-Z point, which generally implies a larger Seebeck coefficient. The coexistence of good electronic band dispersion and flat electronic bands leads to high conductivity and large Seebeck coefficient, resulting in high TE power. Low lattice thermal conductivity and high TE power factor jointly determine the development potential of alkali metal compound XMgSb (X = K, Rb, Cs) in the field of TE.
Orbital hybridisation effects in B2 phase Cr doped Co2MnAl
Authors: Pathak Swati , Singh Saurabh , Khalid S , Kuga Kentaro , Takeuchi Tsunehiro , Bindu R 
Published: June 2023

Abstract
We investigate here the magnetic, transport, local structural and electronic properties of Co2Mn

1
−
x

Cr
x
Al (x = 0, 0.05, 0.1 and 0.2). Our results show that all the compounds stabilise in B2 phase and are ferromagnets. The results reveal disorder at the structural and magnetic levels. X-ray absorption near edge structure (XANES) analysis reveal signature of antisite disorder between Mn and Al atoms with equal ratio. The electronic structure calculations suggest enhancement in the half metallicity, localisation of electrons at the Fermi level and an increment in density of states with doping. The combined results of electronic structure calculations and XANES studies suggest transfer of electrons to the Co site. The results of high temperature resistivity measurements suggest the conduction electrons are undergoing transition from delocalisation to weak localisation to activated behaviour with Cr doping. The extended x-ray absorption spectroscopic analysis shows that the local structure around Mn atom is different from the global structure as obtained from the x-ray diffraction results. The behaviour of the edge region is in line with the trend as obtained from the compositional analysis. We observe link between the hybridisation of 3d like states at the Mn, Cr sites with that at the Co site and the transport properties. This could help in understanding the unusual decrement in the lattice parameter with doping. These results reveal the role of local structure in understanding the physical properties of such systems.
Stable antiferromagnetic property and tunable electronic structure of two-dimensional MnPX3 (X = S and Se) from pristine structure to Janus phase
Authors: Yang Jun-Tao , Xu Chang-Ju , Wang Hong-Ji , Min Qing , Luo Shi-Jun , Xiong Yong-Chen , Ren Wei , Jing Chao 
Published: June 2023

Abstract
Transition-metal phosphorus trichalcogenides have been considered as very promising two-dimensional (2D) magnetic candidates up-to-date. We performed a systematical first-principles study on the electronic structures and magnetic properties of pristine MnPX3 (X = S and Se) and Janus Mn2P2S3Se3 monolayers. All monolayers behave as a direct-band-gap semiconductor in antiferromagnetic ground state which is caused by strong direct and indirect exchange interactions. It is found that the electronic structures and magnetic properties can be manipulated by Janus phase. The calculated band gap is 2.44 eV, 1.80 eV and 1.86 eV for MnPS3, MnPSe3 and Mn2P2S3Se3 with a valley polarization with consideration of spin–orbital coupling (SOC), respectively. In particular, significant energy-splittings emerge in the SOC-band structures of Janus Mn2P2S3Se3 due to its broken-inversion-symmetry. Estimated by Monte Carlo simulations, the Néel temperature is 96 K, 71 K and 79 K based on Ising model while halved down to 41 K, 33 K and 36 K on the basis of XY model for MnPS3, MnPSe3 and Mn2P2S3Se3, respectively, indicating the XY model should be more reliable to describe the spin dynamics. Our research offers an insight into the magnetic mechanism and paves a feasible path to modulate the magnetism for 2D magnets in realistic applications on spintronics.
Characteristic enhancement of RV reducer under non-stationary condition based on WDT-IF-SS-VMD
Authors: Xie Wensong , Zhou Jun , Liu Tao , Wu Xing 
Published: June 2023

Abstract
Because the working conditions of the rotate vector (RV) reducer are often reciprocating at variable speeds and the working environment is relatively complex, so the vibration signals collected have non-stationary vibration and complex environmental noise. A fault diagnosis method for RV reducer (WDT-IF-SS-VMD) is proposed, which combines instantaneous frequency (IF) trend graph based on current signal and the parameter adaptive variational mode decomposition (VMD) algorithm. Firstly, the current signal and vibration signal are collected synchronously, and the steady-state phase of vibration signal is intercepted according to the IF trend diagram obtained by wavelet decomposition transform (WDT) of the current signal. Secondly, the intercepted vibration signals are transformed into scale space, and the parameters of VMD are selected adaptively based on fuzzy C-means clustering. Then, the maximum kurtosis criterion is used to complete the extraction of sensitive components. Finally, the envelope analysis is carried out to complete the fault diagnosis. The measured signal analysis results show that this method can effectively separate and extract fault features of the RV reducer.
A deep learning based health indicator construction and fault prognosis with uncertainty quantification for rolling bearings
Authors: Wang Zhiyuan , Guo Junyu , Wang Jiang , Yang Yulai , Dai Le , Huang Cheng-Geng , Wan Jia-Lun 
Published: June 2023

Abstract
In this paper, a hybrid convolutional neural network (CNN)-bidirectional gated recurrent unit (BiGRU) model is integrated with the bootstrap method to endow the deep learning (DL) based prognostic method with the quantification capability of the prognostic intervals. The proposed hybrid method contains three parts: (I) The complete ensemble empirical mode decomposition with adaptive noise and principal component analysis and the CNN-BiGRU are utilized to automatically construct the health indicator (HI). (II) 3σ criterion is employed to detect the first predicting time based on the HIs of rolling bearings. (III) The bootstrap method is imposed to endow the proposed DL method with the quantification capability of the prognostic intervals. The experimental validation is carried out on the XJTU-SY bearing dataset and the proposed method outperforms the other four methods in the majority of cases. In addition, the proposed method not only comprehensively considers the fault prognosis error caused by model parameters and noise, but also considers the prediction error caused by different combinations of features on the model.
MEMS-based electronic nose system for measurement of industrial gases with drift correction methodology
Authors: Gawande Tushar , Deshmukh Raghavendra , Deshmukh Sharvari 
Published: June 2023

Abstract
This work explores the use of microelectromechanical system (MEMS) sensors in electronic nose systems for the measurement of prominent industrial pollutants and proposes a methodology for the correction of drift induced in sensors during prolonged use for measurement of corrosive compounds. MEMS sensors have the advantages of low recovery and response time, lower power consumption and improved sensitivity. An electronic nose system is developed to quantify the four major pollutants emitted from various process industries, i.e. hydrogen sulfide (H2S), carbon monoxide (CO), ammonia (NH3) and ethanol (C2H5OH). All four pollutants represent major environmental and human health hazards and rapid quantification is vital. A drift correction algorithm was developed using experimental design and robust regression to correct the drift induced in the sensors. The experiments consisted of eight experimental sets with mixtures of H2S, CO, NH3 and C2H5OH measured on the same sensor array at the start and after a gap of 1 year. The methodology consisted of mapping the response of sensors after 1 year compared with that observed at the very start (day 1) of the experiment. The results showed successful implementation of the methodology, with the root mean square error values being significantly reduced at 0.235, 0.354, 0.145 and 0.651, respectively, for the four studied odorants (H2S, NH3, CO, and C2H5OH).
Optical flow for particle images with optimization based on a priori knowledge of the flow
Authors: Benkovic Théo , Krawczynski Jean-François , Druault Philippe 
Published: June 2023

Abstract
This paper proposes a new optical flow (OF) method for particle image velocimetry applications. The proposed method is based on the use of an a priori sparse knowledge of the flow. A particular insight is given to the optimization derivation based on an image-independent method. Two alternatives are introduced. The first one uses particle-tracking velocimetry estimates as subpixel information to describe the finest velocity scales. The expected true displacements related to the motion of the individual particles are used as anchors for the optimization procedure when the density of the particles is large enough. Alternatively, the second method solves the well-known median problem based on new image-independent functions in areas of low particle density. Studies have been carried out on synthetic images to characterize the error and analyze the impact of image parameters (particle density, particle size, or noise) on the methods. The new methods are compared with a reference method against synthetic data: two Lamb-Oseen vortex rings and a 3D Turbulent Homogeneous and Isotropic flow. The results show that the performances of the new method exceed those of the reference method in almost all tested cases, except for images with particles of relatively small size. It is notably shown that the new method is less dependent on the particle density and the noise embedded in the images than other OF estimators.
A two-stage data-model driven pancreas segmentation strategy embedding directional information of the boundary intensity gradient and deep adaptive pointwise parameters
Authors: Tian Lu , Zou Liwen , Yang Xiaoping 
Published: June 2023

Abstract
In this paper, we propose a two-stage data-model driven pancreas segmentation method that combines a 3D convolution neural network with adaptive pointwise parametric hybrid variational model embedding the directional and magnitude information of the boundary intensity gradient. Firstly, nnU-net is used to segment the entire abdominal CT image with the aim of obtaining the region of the interest of pancreas. Secondly, an adaptive pointwise parametric variational model with a new edge term containing the directional and magnitude information of the boundary intensity gradient is used to refine the predicted results from CNN. Although CNN is good at extracting texture information, it does not capture weak boundary information very well. In order to well acquire more weak boundary information of the pancreas, we utilize not only the magnitude of the gradient, but also the directional information of the boundary intensity gradient to obtain more accurate results in the new edge term. In addition, the probability value for each pixel obtained by calculating the softmax function is exploited twice. Actually, it is applied firstly to generate the binary map as the initial contour of the variational model and then to design the adaptive pointwise weight parameters of internal and external area terms of the variational model rather than constants. It not only eliminates the trouble of manual parameter adjustment, but also, most importantly, provides a more accurate pointwise evolutionary trend of the level set contour, i.e. determine the tendency of the level set contour to pointwisely contract inward or expand outward. Our method is evaluated on three public datasets and outperformed the state-of-the-art pancreas segmentation methods. Accurate pancreatic segmentation allows for more reliable quantitative analysis of local morphological changes in the pancreas, which can assist in early diagnosis and treatment planning.
Impact of a novel multilayer imager on metal artifacts in MV-CBCT
Authors: Harris T C , Jacobson M , Myronakis M , Lehmann M , Huber P , Morf D , Ozoemelam I , Hu Y H , Ferguson D , Fueglistaller R , Corral Arroyo P , Berbeco RI 
Published: June 2023

Abstract

Objective. Megavoltage cone-beam computed tomography (MV-CBCT) imaging offers several advantages including reduced metal artifacts and accurate electron density mapping for adaptive or emergent situations. However, MV-CBCT imaging is limited by the poor efficiency of current detectors. Here we examine a new MV imager and compare CBCT reconstructions under clinically relevant scenarios. Approach. A multilayer imager (MLI), consisting of four vertically stacked standard flat-panel imagers, was mounted to a clinical linear accelerator. A custom anthropomorphic pelvis phantom with replaceable femoral heads was imaged using MV-CBCT and kilovoltage CBCT (kV-CBCT). Bone, aluminum, and titanium were used as femoral head inserts. 8 MU 2.5 MV scans were acquired for all four layers and (as reference) the top layer. Prostate and bladder were contoured on a reference CT and transferred to the other scans after rigid registration, from which the structural similarity index measure (SSIM) was calculated. Prostate and bladder were also contoured on CBCT scans without guidance, and Dice coefficients were compared to CT contours. Main results. kV-CBCT demonstrated the highest SSIMs with bone inserts (prostate: 0.86, bladder: 0.94) and lowest with titanium inserts (0.32, 0.37). Four-layer MV-CBCT SSIMs were preserved with bone (0.75, 0.80) as compared to titanium (0.67, 0.74), outperforming kV-CBCT when metal is present. One-layer MV-CBCT consistently underperformed four-layer results across all phantom configurations. Unilateral titanium inserts and bilateral aluminum insert results fell between the bone and bilateral titanium results. Dice coefficients trended similarly, with four-layer MV-CBCT reducing metal artifact impact relative to KV-CBCT to provide better soft-tissue identification. Significance. MV-CBCT with a four-layer MLI showed improvement over single-layer MV scans, approaching kV-CBCT quality for soft-tissue contrast. In the presence of artifact-producing metal implants, four-layer MV-CBCT scans outperformed kV-CBCT by eliminating artifacts and single-layer MV-CBCT by reducing noise. MV-CBCT with a novel multi-layer imager may be a valuable alternative to kV-CBCT, particularly in the presence of metal.
The application of a wavelet filtering method in magneto-acousto-electrical tomography
Authors: Jin Yuzhang , Zhao Hongliang , Liu Guoqiang , Xia Hui , Li Yuanyuan 
Published: June 2023

Abstract
Magneto-acousto-electrical tomography (MAET), which couples ultrasound imaging with electrical impedance tomography, is an electrical property imaging method which is expected to have a wide range of clinical applications, including the early detection of breast and liver cancers. Obviously, as a coupled imaging method, how to improve the signal-to-noise ratio (SNR) is a key issue in the imaging process. In this paper, a wavelet filtering method is introduced into MAET, which includes the filtering effect of the db6 wavelet, and its filtering effect at different decomposition levels. At the same time, based on the Lorentz reciprocity theorem, the wave equation satisfied by the detected voltage obtained by electrode was deduced. We also built an experimental platform to acquire signals by keeping the position of the target unchanged and moving the ultrasound transducer along the trajectory of a circular arc. The experimental results show that the wavelet filtering scheme proposed in this paper improves the SNR of the detected signal of 15.1 dB, and the images of electrical properties of the phantom and pork from isolated tissues were realized by the filtered signal of the db6 wavelet and time reversal method, which reflects the interface of electrical conductivity change of tissues. This scanning method, of fixing the target body and rotating the transducer, can effectively reduce the error and noise caused by the movement of the detection electrodes in the experiment. The filtering technique and imaging algorithm proposed in this paper have improved the SNR and contrast of the images. Thus, the images of the low conductivity phantom with 0.2 S m−1 and isolated tissue were obtained, which indicates that the MAET has good prospects in clinical applications.