bluuebunny/crossref_metadata_2025_split huggingface dataset:
Long-term sevoflurane exposure relieves stress-enhanced fear learning and anxiety in PTSD mice
Authors: Du Ying , Xu Minhui , Su Yan , Liu Yujia , Zhou Yiming , Gu Xiaoping , Xia Tianjiao 
Published: May 2023

Abstract
Objectives: Post-traumatic stress disorder (PTSD) is characterized by recurrent episodes of severe anxiety after exposure to traumatic events. It is believed that these episodes are triggered at least in part by environmental stimuli associated with the precipitating trauma through classical conditioning, termed conditioned fear. However, traditional methods of conditioned fear memory extinction are frequently ineffective for PTSD treatment due to the contribution of non-associative sensitization caused by trauma. Anesthetics have shown promise for treating various psychiatric diseases such as depression.
Methods: In this study, we examined if the inhaled anesthetic sevoflurane can suppress stress-enhanced fear learning (SEFL) in PTSD model mice. Model mice exposed to 2.4% sevoflurane for 6 h exhibited reduced freezing time and behavioral anxiety compared to sham-treated model mice. To explore the underlying mechanisms, we evaluated the regional expression levels of glucocorticoid receptors (GRs), cannabinoid CB1 receptors (CB1Rs), D1 dopamine receptors (D1Rs), and D2 dopamine receptors (D2Rs).
Results: We verified that both GR and CB1R were significantly upregulated in the hippocampus, amygdaloid nucleus, and prefrontal cortex (PFC) of model mice, while D1R and D2R were downregulated. All of these expression changes were partially normalized in the PFC by 6-h but not 2-h sevoflurane exposure.
Conclusions: These results showed that Sevoflurane exposure following traumatic events may be a safe and effective treatment for PTSD.
Influence of Online Professional Learning Networks on Teacher Self-Efficacy for Using Information Communication Technology
Authors: O'Toole Jeremy , Adcock Amy , Bullock Cheryl 
Published: May 2023

AbstractInformation communication technology (ICT) is increasingly used to enhance teaching and learning, but many teachers lack mastery-level experiences using these computing technologies in the classroom. To further their knowledge, some teachers have turned to online professional learning networks (PLNs) for development, but further research is needed to explore how and why these networks change teachers’ practice. Framed by Albert Bandura's theory of self-efficacy, the purpose of this study was to explore the influence of online PLNs on teachers’ perceptions of their technological self-efficacy for implementing ICT in the classroom. Purposive sampling was used to recruit eight teachers who had contact with an online PLN for over a year. Interview questions were based on Bandura’s four sources of influence for self-efficacy. Results indicate that online PLNs influence teachers’ technological self-efficacy by providing resources, relationships, and problem-solving opportunities. Results present recommendations for future studies with a larger sample across more geographical areas in varying school districts.
3D face construction from single 2D images using DEO model
Authors: Doraikannan Sumathi , Kasyap Varanasi LVSKB , Reddy Mure Sai Jaideep , Bhaga Varanasi Srinivasa , Poongodi Thangamuthu , KUMAR Thangamariappan GANESH , SVN Santhosh Kumar 
Published: May 2023

Abstract
In recent years, considerable attention has been paid to 3D face data in many face image processing applications. Detailed 3D Face making is developing technology with multiple real-time applications. This work aims to create an exact 3D Face model with facial emotions designed based on the principle of the Face Vertex Land marking and Wulcheir distance. Convolution Neural Network (DCNN) is deployed to extract relevant facial features and those features are used for further analysis. The 3D Face models are constructed efficiently. The proposed model is a concoction of CoarseNet and FineNet through which a 3D coarse face from a bilinear face model with face landmark alignment is created. It is followed by the local corrective field which tends to refine the 3D rough face with consistent photometric constraint. This work follows the various aspects of 3D face modeling techniques: Deep Learning, Epiploic Geometry, and the One-shot learning (DEO) method. The proposed DEO Model has been evaluated using the FER2013 dataset of face images with six basic emotions via performance metrics like accuracy, precision, sensitivity, specificity, and time. The proposed model outperforms other existing methods with promising and state-of-art results. The accuracy obtained through the proposed work shows higher accuracy (more than 90%), which has been demonstrated using real-world models
Regulation of glioblastoma proliferation and migration by Nova1
Authors: Yao Xuan , Wang Bo , Su Yuanping , Wang Na , Dong Qiang , Yin Hang , Qiu Guoyu , Wang Xiaofang , Pan Yawen , Yuan Guoqiang 
Published: May 2023

Abstract
Purpose: The aim of this study was to investigate the regulation of proliferation and migration of glioblastoma (GBM) cells by Nova1.
Methods: We used a bioinformatics approach to analyze RNA sequencing data from the cerebral cortex of Nova1 knockout mice and that of wild-type mice to screen differentially expressed genes (DEGs). The GSE69709 dataset was downloaded from the Gene Expression Omnibus (GEO) database, and six samples were selected for analysis. Cdhr1 and Pmfbp1 were screened out among 149 DEGs. GBM cell lines U251, U87 and Mo59j were transfected by Nova1 knockdown lentivirus. After verifying transfection efficiency, CCK8, colony formation, scratch and Transwell migration assays were performed to analyze cell proliferation and migration. Based on brain stereotaxic techniques, GBM C6 cells were microinjected into the striatal region of mice to construct an orthotopic xenograft tumor model. The distribution and expression of Nova1 in the subventricular zone(SVZ) and hippocampal dentate gyrus (DG) were analyzed using the TissueFAXS.
Results: Nova1 is mainly distributed in the midbrain and brainstem of mice. Nova1 is highly expressed in GBM tissues. Furthermore, knockdown of Nova1 significantly inhibited GBM cell proliferation and migration. Meanwhile, Nova1 can change GBM cell morphology by remodeling the cytoskeleton.
Conclusion: Nova1 plays an important role in the occurrence and development of GBM, may be a potential therapeutic target for GBM.
WITHDRAWN: Unleashing the Power of YOLOv8 for Accurate Bengali Mathematical Expression Detection
Authors: Imran Izazul Hoq , Das Tropa , Galib Asadullah Hel , Roy Tanni 
Published: May 2023

Abstract

The design of conventional architectural landscapes often has issues with inadequate direct visual effects and inadequate levels of resident satisfaction, but the design of green architectural landscapes typically does not have these issues. Creating room for landscaping is likewise an impractical endeavor. Because of this, the authors of this study suggest a number of different Path-finding algorithms for green building landscape space and environmental optimization design. A variety of path-finding algorithms may be used to maximize the multi-objective scale of the architectural landscape. The expense of the construction as well as public utilities such as the space environment are included among the optimization's goals and objectives. The findings indicate that the many pathfinding solutions that were presented are able to optimize the architectural landscape setting, and the occupants' level of happiness has increased as a consequence.
Multi-Scale Sliding-Window Fitting Model for Evolution of Information Dissemination in Weibo
Authors: Duan Shufeng , Zhu Ligu , Mo Hao 
Published: May 2023

Abstract
With the development of information technology, the speed and scope of dissemination have been greatly improved, the content of information directly affects the social order, and the mining of communication laws has become a hot issue. At present, there are three common analytical models, which are based on the popularity curve fitting, interpersonal networks simulation, and machine learning models. Although these models play a major role in diffusion effects analysis, there are also problems such as the data analysis results are too dependent on the data and the versatility is weak. Based on the classical Schramm's eight elements theory and previous research results, in this study, we identified evolution curve usually has multiple peaks, and assumed a composite decomposition function to establish a mathematical abstraction. Draws on the denoising autoencoder neural network model, a multi-scale sliding-window model is proposed for fitting the energy variety curve with the number of microblogs as the influence index. The theoretical basis of the model makes it interpretable, and because of the use of a large number of known news dissemination data for training, so the versatility is better, and the denoising characteristics of the autoencoder model weaken the intensity of data cleaning. Finally, compared with the SIR function and SEIR function, the experiment shows that the fitting error of the function obtained from the model is significantly reduced. However, the model’s algorithm needs to be improved in parallel processing, and the model itself needs to be further optimized.
Analysis of the Total Energy Consumption Through Hydrogen Compression for the Operating Pressure Optimization of an Alkaline Water Electrolysis System
Authors: Shin Yongbeom , Oh Jongyeon , Shin Dongil 
Published: May 2023

Abstract
Green hydrogen produced through the water electrolysis system needs to be compressed to 200-700 bar for transportation, storage, and charging. Thus, it is necessary to consider the compression process of produced hydrogen. In this study, an alkaline water electrolysis cell model was developed in Python, and a system simulation model was proposed by integrating it into gPROMS. Total energy consumption and efficiency according to operation conditions were analyzed by considering the energy consumption for hydrogen compression to 200 bar through the developed model. The optimal operating pressure demonstrated less than 10 bar in the previous study when the compression process was not considered, however, the energy efficiency was highest at 10-30 bar with the energy of hydrogen compression. Nonetheless, a high-pressure operation may be subject to material restrictions or legal regulations. Therefore, material constraints and social regulations should be considered simultaneously in order to minimize the operating cost and energy efficiency.
Optimized and Robust Orbit Jump for Nonlinear Vibration Energy Harvesting
Authors: Saint-Martin Camille , Morel Adrien , Charleux Ludovic , Roux Emile , Gibus David , Benhemou Aya , Badel Adrien 
Published: May 2023

Abstract
This paper introduces an optimized orbit jump strategy for nonlinear Vibration Energy Harvesters (VEHs). Nonlinear VEHs are a promising alternative to linear VEHs due to their broadband characteristics. However, they exhibit complex dynamical behaviors, including not only high-power inter-well orbits but also low-power intra-well orbits and chaos. The existence of low-power orbits in their dynamics can restrict their energy harvesting performance. In order to overcome this issue, this study investigates an orbit jump strategy that allows the VEH to transition from low-power intra-well orbits to high-power inter-well orbits. This strategy, based on varying the buckling level of a bistable VEH, has been previously studied but not yet optimized. In this study, we define an optimization criterion that maximizes both the effectiveness and robustness of the orbit jump strategy. We developed a Python CUDA code using GPU parallel computing to handle the large number of numerical resolutions of the nonlinear VEH model. Experimental tests were performed on a bistable VEH over a frequency range of 30 Hz, validating the numerical results obtained with the optimized orbit jump strategy. The results indicate that the energy consumption required for a successful orbit jump ranges between 0.2 mJ and 1 mJ, and can be restored within 0.2 s in the worst case. Experimental results show an average success rate of 48%, despite a variation of ±15% in the starting and ending times of the jump, leading to a robust and optimized orbit jump strategy. The proposed optimization procedure can be applied to other orbit jump strategies, and other types of nonlinear VEHs.
EG-VEGF Maternal levels predict spontaneous preterm birth in the second and third trimesters of pregnancy
Authors: Raia-Barjat Tiphaine , CHAULEUR Céline , Collet Constance , Rancon Florence , Hoffmann Pascale , Desseux Morgane , Lemaitre Nicolas , Benharouga Mohamed , Giraud Antoine , Alfaidy Nadia 
Published: May 2023

Abstract
Background:
Prediction of spontaneous preterm birth in asymptomatic women remains a great challenge for the public health system. The aim of the study was to determine the informational value of EG-VEGF circulating levels in pregnant women at high risk for prediction of spontaneous preterm birth in the second and third trimesters.
Methods:
A prospective multicenter cohort study including 200 pregnant patients with five-serum sampling per patient.
Results:
Women with spontaneous preterm birth have higher concentrations of serum EG-VEGF than uncomplicated patients at 24 weeks, 28 weeks and 32 weeks (p= 0.03, 0.02 and <0.001). The areas under the curve reached 0.9 with 100% sensibility at 32 weeks for the prediction of spontaneous preterm birth.
Conclusions:
Serum EG-VEGF concentrations could be considered as a reliable biomarker of spontaneous preterm birth in high-risk pregnant women.
Analysis of the substrate nature on the strength of a single-lap joint
Authors: Houari Amine , Madani Kouider , Ajrami Mohamed El , Belhouari Mohamed , Campilho Raul .D.S.G. 
Published: May 2023

Abstract

Nowadays, the adhesive bonding process takes an important place in several industrial fields, especially in aeronautics. Given its advantages over other conventional mechanical processes, this process is being extended to be applied in composite materials and, in recent years, more particularly in the bonding of functional graded materials (FGM). Current research aims to optimize the mechanical properties of the substrates and the adhesive to minimize stress concentrations in the adhesive joint, which is the weak link of the structure. The present work analyzes, by the finite element method (FEM), the mechanical behavior of a single-lap joint with varying nature of the substrates. The analysis takes into account the variation of stresses in the adhesive of a bonded joint of different types (metal/metal, composite/composite, FGM/metal, FGM/FGM). On the other hand, an attempt has been made to introduce an adhesive with graded mechanical properties made up of two types to ensure efficient joining and reduce stress concentrations at the bond edges. The introduction of the FGM substrate mechanical properties is done using a USDFLD subroutine implemented in the ABAQUS computer code. Different damage approaches were used for the adhesive, namely the virtual crack closure technique (VCCT) and cohesive zone models (CZM) techniques. The effect of the mechanical properties of the substrates and adhesive were considered. The results show clearly that the value of the different stresses can be reduced if the mechanical properties of the substrates are optimized. On the other hand, the different techniques used to model the bonded joint converge towards the same results, emphasizing the agreement of the load-displacement curves with the experimental test, and the variation of the stresses according to the lap length with analysis by analytical models.
Effects of preheating and slow cooling stages in small-scale resistance spot welding of the Ti-2Al-1Mn alloy
Authors: Butsykin Sergei , Slobodyan Mikhail , Strelkova Irina , Klimenov Vasiliy , Elkin Maxim , Gordynets Anton , Kiselev Alexey 
Published: May 2023

Abstract

The aim of this study was to improve the controllability of the resistance spot welding process for parts with a thickness of 0.5 mm from the Ti-2%Al-1%Mn alloy. It was found that the weld lobe was within the ranges of current amplitudes from 3.3 up to 4.8 kA and pulse durations from 8 up to 16 ms. After applying such parameters, nuggets were characterized by acceptable diameters without expulsions in most cases. The preheating stage (a preliminary pulse with an amplitude of about 1 kA and a duration of 3–4 ms) had a positive effect on the stability of the mechanical properties of the joints. Upon solidification, a decrease in the cooling rate (by a prolonged down slope) also slightly improved them, despite the absence of fundamental variations in the microstructure and phase composition of the nuggets. The supposed reason was a reduction of residual stresses. The reported data can be used as a basis for developing similar welding procedures for various parts of comparable thicknesses from other titanium-based alloys, taking into account the ratio of their physical properties, dimensions and deployed equipment.
Thermodynamic behavior of the system water/D-Sucrose/ NH4H2PO4 at 298.15 K, and salting-out of NH4H2PO4 on D-Sucrose Solutions
Authors: fadel W. El , Hantati S. El , Nour Z. , Dinane A. , Samaouali A. , Brahim MESSNAOUI 
Published: May 2023

Abstract

The hygrometric method is used to determine new thermodynamic data on water activity and saturated aqueous solution of the water/D-Sucrose/ Ammonium Dihydrogen Phosphate (ADP) system in a wide range of NH4H2PO4 molality, ranging from 0.1 to 3 mol.kg− 1, and for various D-Sucrose contents from 0. to 4 mol.kg− 1. Powder X-ray diffraction (XRD) and attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy were used to characterize the solid state. The Pitzer Simonson-Clegg model (PSC) is used to fit the experimental data of osmotic coefficient obtained from water activities data. The predicted saturated aqueous solutions, with the PSC model, are in good agreement with experimental data. For the concentration inferior to 1 mol.kg− 1, the negative deviation from ideality was shown with increasing the ADP concentrations. The estimated values of the activity coefficient of D-Sucrose, activity coefficient of ADP, and the Gibbs energy of transfer of ADP from water to mixture (water /D-Sucrose) show that both ADP and D-Sucrose exert significant salting-out effects on the aqueous solution.
A Mutant Methionyl-tRNA Synthetase-Based toolkit to assess induced-Mesenchymal Stromal Cell secretome in mixed-culture disease models
Authors: Burgess Jeremy D. , Amerna Danilyn , Norton Emily S. , Parsons Tammee M. , III. Ralph B. Perkerson , Faroqi Ayman H. , Wszolek Zbigniew K. , Cazares Hugo Guerrero , Kanekiyo Takahisa , Delenclos Marion , McLean Pamela J. 
Published: May 2023

Abstract
Background Mesenchymal stromal cells (MSCs) have a dynamic secretome that plays a critical role in tissue repair and regeneration. However, studying the MSC secretome in mixed-culture disease models remains challenging. This study aimed to develop a mutant methionyl-tRNA synthetase-based toolkit (MetRSL274G) to selectively profile secreted proteins from MSCs in mixed-culture systems and demonstrate its potential for investigating MSC responses to pathological stimulation.Methods We used CRISPR/Cas9 homology-directed repair to stably integrate MetRSL274G into cells, enabling the incorporation of the non-canonical amino acid, azidonorleucine (ANL), and facilitating selective protein isolation using click chemistry. MetRSL274G was integrated into both in H4 cells and induced pluripotent stem cells (iPSCs) for a series of proof-of-concept studies. Following iPSC differentiation into induced-MSCs, we validated their identity and co-cultured MetRSL274G-expressing iMSCs with naïve or lipopolysaccharide- (LPS) treated THP-1 cells. We then profiled the iMSC secretome using antibody arrays.Results Our results showed successful integration of MetRSL274G into targeted cells, allowing specific isolation of proteins from mixed-culture environments. We also demonstrated that the secretome of MetRSL274G-expressing iMSCs can be differentiated from that of THP-1 cells in co-culture, and is altered when co-cultured with LPS-treated THP-1 cells compared to naïve THP-1 cells.Conclusions The MetRSL274G-based toolkit we have generated enables selective profiling of the MSC secretome in mixed-culture disease models. This approach has broad applications for examining not only MSC responses to models of pathological conditions, but any other cell type that can be differentiated from iPSCs. This can potentially reveal novel MSC-mediated repair mechanisms and advancing our understanding of tissue regeneration processes.
Factors Associated with Financial Toxicity in Patients with Breast Cancer in Japan: A Comparison of Patient and Physician Perspectives
Authors: Saeki Sumito , Iwatani Tsuguo , Kitano Atsuko , Sakurai Naomi , Tanabe Yuko , Yamauchi Chikako , Igarashi Ataru , Kajimoto Yusuke , Kuba Sayaka , Hara Fumikata , Sagara Yasuaki , Ohno Shinji 
Published: May 2023

Abstract
Background Patients with breast cancer are generally younger than those with other types of cancer. Their treatment often lasts for longer period, leading to increased costs and indirect burdens such as managing adverse events. Financial toxicity (FT) is a significant concern for patients with breast cancer worldwide, and the lack of medical cost information support in the United States is a notable issue. However, the situation regarding FT in Japan has not been well explored. Parallel with other related studies, this study aimed to examine FT in patients with breast cancer in Japan and present an overview of the group study’s overall findings.Methods The survey utilized the Questant application and primarily targeted patients with breast cancer attending research facilities and physicians who are Japanese Breast Cancer Society members. The Japanese version of the Comprehensive Score for FT (COST) was used to quantify patients’ FT. Multiple regression analysis was used to identify factors related to FT in patients with breast cancer in Japan and evaluate the sufficiency of information support level (ISL) for medical expenses.Results We collected 1,558 responses from patients and 825 from physicians. The results showed that recent payment was the most significant factor affecting patients’ FT. Furthermore, inadequate ISL by physicians was found, with ISL tending to decrease as FT increased. Regional differences in patients’ ISL were also identified. Physicians with a better understanding of information support needs and adequate knowledge of medical costs tended to provide more comprehensive support.Conclusion This study emphasizes the importance of addressing FT in patients with breast cancer in Japan and highlights the need for enhanced information support, deeper understanding by physicians, and collaborative efforts among professionals to mitigate financial burden and provide personalized, tailored support for individual needs.