bluuebunny/crossref_metadata_2025_split huggingface dataset:
Literature Review: Role of Neurosurgery in Leptomeningeal Carcinomatosis
Authors: Ogasawara Thaís Mitie , Batista Thaís Yumi Kobayashi , dos Santos Rafael Rodrigues Pinheiro , Rampazzo Ana Carla Mondek , Badaoui Caroline Amane Pessoa , Caetano Igor Ruan de Araújo , Martins Jonathan Vinícius , Nogueira Maria Letícia , Guarnieri José Ângelo , Zicarelli Carlos Alexandre Martins 
Published: October 2023

Abstract
Introduction Leptomeningeal carcinomatosis results from metastatic neoplastic cells that reach the leptomeninges through the cerebrospinal fluid. The presentation of the disease is variable, making prognosis challenging. However, the presence of intracranial hypertension is common, which has prompted new treatments to mitigate this effect.
Objective To report the role of neurosurgery in the treatment of leptomeningeal carcinomatosis, as well as its advances.
Methodology Literature review with a search of the PubMed database, between 2011 and 2021, using the following descriptors: Neurosurgery, Leptomeningeal Carcinomatosis, Cerebrospinal and Treatment. A total of 42 articles were found, 16 of which were selected.
Results The shunt insertion considerably improved the effects of cranial hypertension, increasing the average survival time of patients by 3.5 months after surgery. The Ommaya reservoir is also a viable option due to its convenience and safety. The V-Port, on the other hand, has overcome the challenges of conventional devices, with shorter operating times (42 minutes), smaller skin incisions, and no reports of postoperative infection.
Conclusion Devices for the treatment of leptomeningeal carcinomatosis have been steadily improving, simplifying surgical procedures and benefiting patients.
Role of Robotics in Neuromodulator and Filler Injections of Face
Authors: Kapoor Krishan Mohan , Kapoor Aanandita , Bertossi Dario 
Published: October 2023

AbstractIn recent years, robots have been increasingly used in various fields of medicine, including surgery, dentistry, and ophthalmology. One of the newest and most promising applications of robotic technology in medicine is in the field of facial aesthetics, particularly in the injection of facial fillers and neuromodulators. While facial injections have traditionally been performed manually by trained physicians and nurses, the introduction of robots has the potential to revolutionize the field, offering a range of potential benefits, including increased precision, accuracy, and consistency of results. However, the significant disadvantages of robots are high cost, lack of flexibility and personal touch, limited experience, and risk of injury due to malfunction.
Environmental vs. labor issues: evidence of influence on intention to purchase ethical coffee in Japan
Authors: Kato Takumi , Hayami Katsuya , Kasahara Kenta , Morino Minami , Ikuma Yui , Ikeda Ryosuke , Koizumi Masaki 
Published: October 2023

AbstractTwo main issues in ethical consumption attract attention: environmental and labor issues. However, few studies have compared the conditions and effects that contribute to ethical purchasing behavior. To fill this gap, we conducted two studies targeting the Japanese food industry. In Study 1, we examined consumers who are accustomed to ethical consumption and clarified the product characteristics valued by consumers with high awareness of ethical issues. In Study 2, we conducted a randomized controlled trial to examine the effects of product concepts of environmental and labor issues on coffee purchase intentions. Study 1 confirmed that environmental and labor issues are emphasized for coffee, whereas recycling is emphasized for tea. This difference is due to the difference in production countries (coffee: developing countries, tea: Japan) and packaging materials (coffee: paper cups, tea: PET bottles). Study 2 showed that labor issues had a greater impact on purchase intention and willingness to pay than that of environmental issues owing to the adoption of producers’ photographs. This study complemented existing literature by comparing the conditions and effects of environmental and labor issues on ethical purchasing behavior. Considering the limited resources of companies and limited ability of consumers to process information, understanding predictive factors is extremely crucial.
A global spectral-Galerkin investigation of a Rayleigh–Taylor instability in plasma using an MHD–Boussinesq model
Authors: Piterskaya A. , Miloch W. J. , Mortensen M. 
Published: October 2023

This paper presents a new efficient algorithm based on the spectral-Galerkin numerical approximations complemented by a magnetohydrodynamics–Boussinesq model and a new solver for studying the development of a Rayleigh–Taylor (RT) instability. We use the Shenfun computational framework in the Cartesian coordinates, which gives the spectral order and accuracy for the considered model based on the magnetohydrodynamics equations and the Boussinesq conjecture. The numerical simulations were conducted for each two- and three-dimensional case, both with and without an external static magnetic field. The validity of the numerical results was examined by comparing the calculated squared L2-norm of the density parameter with the linear stability analysis. We also examined the effects of a uniform tangential magnetic field on the onset and growth of an RT instability at different magnetic field strengths. The analysis of the effectiveness of the presented method suggests that it can be modified for further research on two-component plasma.
Composition variations in Cu(In,Ga)(S,Se)2 solar cells: Not a gradient, but an interlaced network of two phases
Authors: Prot Aubin JC. M. , Melchiorre Michele , Dingwell Felix , Zelenina Anastasia , Elanzeery Hossam , Lomuscio Alberto , Dalibor Thomas , Guc Maxim , Fonoll-Rubio Robert , Izquierdo-Roca Victor , Kusch Gunnar , Oliver Rachel A. , Siebentritt Susanne 
Published: October 2023

Record efficiency in chalcopyrite-based solar cells Cu(In,Ga)(S,Se)2 is achieved using a gallium gradient to increase the bandgap of the absorber toward the back side. Although this structure has successfully reduced recombination at the back contact, we demonstrate that in industrial absorbers grown in the pilot line of Avancis, the back part is a source of non-radiative recombination. Depth-resolved photoluminescence (PL) measurements reveal two main radiative recombination paths at 1.04 eV and 1.5–1.6 eV, attributed to two phases of low and high bandgap material, respectively. Instead of a continuous change in the bandgap throughout the thickness of the absorber, we propose a model where discrete bandgap phases interlace, creating an apparent gradient. Cathodoluminescence and Raman scattering spectroscopy confirm this result. Additionally, deep defects associated with the high gap phase reduce the absorber's performance. Etching away the back part of the absorber leads to an increase of one order of magnitude in the PL intensity, i.e., 60 meV in quasi-Fermi level splitting. Non-radiative voltage losses correlate linearly with the relative contribution of the high energy PL peak, suggesting that reducing the high gap phase could increase the open circuit voltage by up to 180 mV.
Glassy dynamics of water in TIP4P/Ice aqueous solutions of trehalose in comparison with the bulk phase
Authors: Lupi Laura , Gallo Paola 
Published: October 2023

We perform molecular dynamics simulations of TIP4P/Ice water in solution with trehalose for 3.65 and 18.57 wt. % concentrations and of bulk TIP4P/Ice water at ambient pressure, to characterize the structure and dynamics of water in a sugar aqueous solution in the supercooled region. We find here that TIP4P/Ice water in solution with trehalose molecules follows the Mode Coupling Theory and undergoes a fragile to strong transition up to the highest concentration investigated, similar to the bulk. Moreover, we perform a Mode Coupling Theory test, showing that the Time Temperature Superposition principle holds for both bulk TIP4P/Ice water and for TIP4P/Ice water in the solutions and we calculate the exponents of the theory. The direct comparison of the dynamical results for bulk water and water in the solutions shows upon cooling along the isobar a fastening of water dynamics for lower temperatures, T &lt; 240 K. We found that the counter-intuitive behavior for the low temperature solutions can be explained with the diffusion anomaly of water leading us to the conclusion that the fastening observed below T = 240 K in water dynamics is only fictitious, due to the fact that the density of water molecules in the solutions is higher than the density of the bulk at the same temperature and pressure. This result should be taken into account in experimental investigations which are often carried out at constant pressure.
A mixed-methods examination of an on-campus canine-assisted intervention by gender: Women, men, and gender-diverse individuals’ self-reports of stress-reduction and well-being
Authors: Binfet John-Tyler , Green Freya L.L. , Godard Rebecca J.P. , Szypula Madisyn M. , Rousseau Camille X. , Decker Jordy 
Published: October 2023

Abstract

On-campus canine-assisted interventions (CAIs) provide opportunities for college students to interact with therapy dog-handler teams and are considered a low-cost and low-barrier way for students to reduce their stress and bolster their well-being. Across studies, we see participant samples comprised predominantly of women participants. The aim of this study was to assess the effects of a 20-min CAI on the well-being of women (
n
= 80), men (
n
= 54), and gender-diverse (
n
= 28; i.e., non-binary, genderfluid, and two-spirit) participants. Across all gender conditions, significant pre-to-post increases in well-being (i.e., campus connectedness, happiness, positive affect, or optimism) and decreases in ill-being (i.e., homesickness, loneliness, negative affect, anxiety, or stress) were found. Controlling for pre-test scores, there was no significant effect of gender on any of the well-being or ill-being. Findings corroborate previous research attesting to the efficacy of CAIs in enhancing the social and emotional well-being of students and suggest that CAIs are equally effective across participants of varied genders.
A non-excavation detection method for buried PE pipelines based on 3D time-domain stacking focusing of elastic wave reflection
Authors: Qi Yongsheng , Wang Xinhua , Yang Lin , Wang Yuexin , Guo Zisheng 
Published: October 2023

Abstract
This paper proposed a method for locating buried polyethylene (PE) pipelines based on three-dimensional time-domain stacking focusing on elastic wave reflections. Research is conducted on the elastic wave propagation mechanism in solids. A finite element model of the propagation of elastic waves in a pipe–soil coupling system excited by a vertically oriented source is established. The transverse wave energy component below the excitation source is zero for elastic waves excited by a vertically oriented source. Based on this characteristic, an elastic wave probe array is first used, circularly distributed around the excitation source. The symmetry of the probe array is utilized to locate the buried PE pipes in the horizontal direction. Then, interference from the transverse waves is reduced by placing the excitation source directly above the buried PE pipeline. A three-dimensional image of the buried PE pipeline is formed using high-frequency elastic wave reflection signals and three-dimensional time-domain stacking. The results show that the proposed method can determine the horizontal position and burial depth of buried PE pipes without excavation. In addition, this work is significant for the localization methods of other buried pipe materials. The related detection systems and imaging methods have certain universality and reference value for detecting other buried public facilities.
Welding defects on new energy batteries based on 2D pre-processing and improved-region-growth method in the small field of view
Authors: Lyu Ri , Lu Jun , Zhao Zhuang , Zhang Yi , Han Jing , Bai Lianfa 
Published: October 2023

Abstract
The assessment of welding quality in battery shell production is a crucial aspect of battery production. Battery surface reconstruction can inspect the quality of the weld instead of relying on human inspection. This paper proposes a defect detection method in the small field of view based on 2D pre-processing and an improved-region-growth method. A novel approximation-based, high-precision, and simple operation method for line structure optical plane calibration under small field of view is presented, with a measurement error within 0.01 mm. By pre-processing the line scan 2D images, the defect location distribution is obtained, and then the images near the abnormal points are reconstructed in third dimensional (3D). The proposed method enables the extraction of the morphology, size, and other information of the defects with high accuracy. The results of various defect detection experiments demonstrate the stable and reliable performance of the system. The experimental results of defect recognition rate are over 95.3% for defects above 0.5 mm in diameter, and the inspection time is less than 1/2 of the direct 3D defect inspection. Overall, this method has proven to be highly effective in the assessment of welding quality in new energy battery production.
High performance self-powered photodetector based on van der Waals heterojunction
Authors: Yan Cong , Yang Kun , Zhang Hao , Chen Yaolin , Liu Hongxia 
Published: October 2023

Abstract
Self-powered photodetectors that do not require external power support are expected to play a key role in future photodetectors due to their low power characteristics, but achieving high responsivity remains a challenge. 2D van der Waals heterojunctions are a promising technology for high-performance self-powered photodetectors due to their excellent optical and electrical properties. Here, we fabricate a self-powered photodetector based on In2Se3/WSe2/ReS2 van der Waals heterojunction self-powered photodetector. Due to the presence of ReS2 layer, photocurrent is enhanced as a result of the increase in light absorption efficiency and the effective region for generating photogenerated carriers. The built-in electric field is enhanced by a negative ‘back-gate voltage’ along the p–n junction vertical direction generated by the electrons in the photo-generated electrons accumulation layer. Accordingly, the optical responsivity and the photoresponse speed of this heterojunction self-powered photodetector are greatly boosted. The proposed self-powered photodetector based on the In2Se3/WSe2/ReS2 heterojunction exhibits a high responsivity of 438 mA W−1, which is 17 times higher compared to the In2Se3/WSe2 photodetector, a self-powered current (1.1 nA) that is an order of magnitude higher than that of the In2Se3/WSe2 photodetector, and a fast response time that is 250% faster. Thus the self-powered photodetector with a stronger built-in electric field and a wider depletion zone can provide a new technological support for the fabrication of high responsivity, low power consumption and high speed self-powered photodetectors based on van der Waals heterojunctions.
Enhanced second harmonic generation from a quasi-periodic silver dendritic metasurface
Authors: Chen Huan , Chen Xin , Zhao Xiaopeng , Wang Junli 
Published: October 2023

Abstract
The preparation of the vast majority of nonlinear optical metal metasurfaces currently relies on complex top-down methods such as electron beam or ion beam etching, which are expensive and difficult to meet the requirement of large area preparation. In this paper, an easily prepared quasi-periodic silver dendritic metasurface model with high Q factor is established in the near-infrared band based on a simple and easy-to-operate electrochemical deposition method. The simulations prove that the silver dendritic metasurface has a high Q factor (exceeds 104) because of its strong electric field localization ability, which is analogous to the superposition of multiple split-ring resonators. It is demonstrated that the second harmonic generation (SHG) intensity of the dendritic metasurface at a large incident angle (such as 85°) is about 30 times that of the metasurface at a small incident angle when the x-polarized pump light is incident obliquely to break the centrosymmetry of the metasurface. The influences of the incident angle or dendritic structure’s dimensions on the Q factor and SHG efficiency have also been researched through a lot of simulation. This easily prepared quasi-periodic silver dendritic metasurface SHG device may provide a new avenue for the development and application of miniature, integratable nonlinear optical devices.
LSAM: L2-norm self-attention and latent space feature interaction for automatic 3D multi-modal head and neck tumor segmentation
Authors: Li Laquan , Tan Jiaxin , Yu Lei , Li Chunwen , Nan Hai , Zheng Shenhai 
Published: October 2023

Abstract

Objective. Head and neck (H&N) cancers are prevalent globally, and early and accurate detection is absolutely crucial for timely and effective treatment. However, the segmentation of H&N tumors is challenging due to the similar density of the tumors and surrounding tissues in CT images. While positron emission computed tomography (PET) images provide information about the metabolic activity of the tissue and can distinguish between lesion regions and normal tissue. But they are limited by their low spatial resolution. To fully leverage the complementary information from PET and CT images, we propose a novel and innovative multi-modal tumor segmentation method specifically designed for H&N tumor segmentation. Approach. The proposed novel and innovative multi-modal tumor segmentation network (LSAM) consists of two key learning modules, namely L2-Norm self-attention and latent space feature interaction, which exploit the high sensitivity of PET images and the anatomical information of CT images. These two advanced modules contribute to a powerful 3D segmentation network based on a U-shaped structure. The well-designed segmentation method can integrate complementary features from different modalities at multiple scales, thereby improving the feature interaction between modalities. Main results. We evaluated the proposed method on the public HECKTOR PET-CT dataset, and the experimental results demonstrate that the proposed method convincingly outperforms existing H&N tumor segmentation methods in terms of key evaluation metrics, including DSC (0.8457), Jaccard (0.7756), RVD (0.0938), and HD95 (11.75). Significance. The innovative Self-Attention mechanism based on L2-Norm offers scalability and is effective in reducing the impact of outliers on the performance of the model. And the novel method for multi-scale feature interaction based on Latent Space utilizes the learning process in the encoder phase to achieve the best complementary effects among different modalities.
Deep learning-based workflow for hip joint morphometric parameter measurement from CT images
Authors: Zhai Haoyu , Huang Jin , Li Lei , Tao Hairong , Wang Jinwu , Li Kang , Shao Moyu , Cheng Xiaomin , Wang Jing , Wu Xiang , Wu Chuan , Zhang Xiao , Wang Hongkai , Xiong Yan 
Published: October 2023

Abstract

Objective. Precise hip joint morphometry measurement from CT images is crucial for successful preoperative arthroplasty planning and biomechanical simulations. Although deep learning approaches have been applied to clinical bone surgery planning, there is still a lack of relevant research on quantifying hip joint morphometric parameters from CT images. Approach. This paper proposes a deep learning workflow for CT-based hip morphometry measurement. For the first step, a coarse-to-fine deep learning model is designed for accurate reconstruction of the hip geometry (3D bone models and key landmark points). Based on the geometric models, a robust measurement method is developed to calculate a full set of morphometric parameters, including the acetabular anteversion and inclination, the femoral neck shaft angle and the inclination, etc. Our methods were validated on two datasets with different imaging protocol parameters and further compared with the conventional 2D x-ray-based measurement method. Main results. The proposed method yields high bone segmentation accuracies (Dice coefficients of 98.18% and 97.85%, respectively) and low landmark prediction errors (1.55 mm and 1.65 mm) on both datasets. The automated measurements agree well with the radiologists’ manual measurements (Pearson correlation coefficients between 0.47 and 0.99 and intraclass correlation coefficients between 0.46 and 0.98). This method provides more accurate measurements than the conventional 2D x-ray-based measurement method, reducing the error of acetabular cup size from over 2 mm to less than 1 mm. Moreover, our morphometry measurement method is robust against the error of the previous bone segmentation step. As we tested different deep learning methods for the prerequisite bone segmentation, our method produced consistent final measurement results, with only a 0.37 mm maximum inter-method difference in the cup size. Significance. This study proposes a deep learning approach with improved robustness and accuracy for pelvis arthroplasty planning.
Dynamical systems analysis of an interacting scalar field model in an anisotropic universe
Authors: Bhanja Sujoy , Mandal Goutam , Al Mamon Abdulla , Kr. Biswas Sujay 
Published: October 2023

Abstract
In this paper, we investigate a non-canonical scalar field model in the background dynamics of anisotropic Locally Rotationally Symmetric (LRS) Bianchi type I universe where gravity is coupled minimally to scalar field which is taken as dark energy and pressureless dust as dark matter are the main matter content of the universe. We perform dynamical system analysis to characterize the cosmological evolution of the model with and without interaction in the dark sector separately. First, we convert the evolution equation into an autonomous system of ordinary differential equations by using a suitable choice of dimensionless variables, which are normalized over the Hubble scale. We choose scalar field coupling and potential in such a way that the autonomous system converted to a 2D system. Linear stability theory is employed to the extracted critical points to find the nature. From the analysis, we find some interesting cosmological scenarios, such as late-time scalar-field dominated solutions, which evolve in the quintessence era, cannot solve the coincidence problem. Accelerated scaling attractors are also obtained that correspond to the late phase evolution in agreement with present observational data, and these solutions also provide possible mechanisms to alleviate the coincidence problem. A complete cosmic evolution is obtained from early inflation to a late-time dark energy-dominated phase, connecting through a matter-dominated transient phase of the universe. Furthermore, we find that for different values of the interaction parameter α, the evolutionary trajectories of the Hubble parameter, and the distance modulus forecasted by the model are in quite well agreement with observational datasets.