bluuebunny/crossref_metadata_2025_split huggingface dataset:
Systematic simulation of tumor cell invasion and migration in response to time-varying rotating magnetic field
Authors: Zhang Shilong , Yu Tongyao , Zhang Ge , Chen Ming , Yin Dachuan , Zhang Chenyan 
Published: March 2024

Abstract
Cancer invasion and migration play a pivotal role in tumor malignancy, which is a major cause of most cancer deaths. Rotating magnetic field (RMF), one of typical dynamic magnetic field, can exert substantial mechanical influence on cells. However, studying the effects of RMF on cell is challenging due to its complex parameters, such as variation of magnetic field intensity and direction. Here, we developed a systematic simulation method to explore the influence of RMF on tumor invasion and migration, including a finite element method (FEM) model and a cell-based hybrid numerical model. Coupling with the data of magnetic field from FEM, the cell-based hybrid numerical model was established to simulate the tumor cell invasion and migration. This model employed partial differential equations (PDEs) and finite difference method to depict cellular activities and solve these equations in a discrete system. PDEs were used to depict cell activities, and finite difference method was used to solve the equations in discrete system. As a result, this study provides valuable insights into the potential applications of RMF in tumor treatment, and a series of in vitro experiments were performed to verify the simulation results, demonstrating the model's reliability and its capacity to predict experimental outcomes and identify pertinent factors. Furthermore, these findings shed new light on the mechanical and chemical interplay between cells and the ECM, offering new insights and providing a novel foundation for both experimental and theoretical advancements in tumor treatment by using RMF.
MCDGait: Multimodal Co-Learning Distillation Network with Spatial-Temporal Graph Reasoning for Gait Recognition in the Wild
Authors: Xiong Jianbo , Zou Shinan , Tang Jin , Tardi Tjahjadi 
Published: March 2024

Abstract

Gait recognition in the wild has attracted the attention of the academic community. However, existing unimodal algorithms cannot achieve the same performance on in-the-wild datasets as in-the-lab datasets because unimodal data have many limitations in-the-wild environments. Therefore, we propose a multimodal approach combining silhouettes and skeletons and formulates the multimodal gait recognition problem as a multimodal co-learning problem. In particular, we propose a multimodal co-learning distillation network (MCDGait) that integrates two student networks processing unimodal data into a single teacher network. Based on the semantic consistency of different modalities and the paradigm of deep mutual learning, the performance of the entire network is continuously improved via the bidirectional knowledge distillation between the student and teacher networks. Inspired by the observation that specific body parts or joints exhibit unique motion characteristics and have linkage with other parts or joints during walking, we propose a spatial-temporal graph reasoning module (ST-GRM). This module represents the parts or joints as graph nodes and the motion linkages between them as edges. By utilizing dynamic graph generator, the module implicitly captures the dynamic changes of the human body. Based on the generated graphs, the independent spatial-temporal linkage feature of each part and the interactive spatial-temporal linkage feature are aggregated simultaneously. Extensive experiments conducted on two in-the-wild datasets demonstrate the state-of-the-art performance of the proposed method. The average rank-1 accuracy on datasets Gait3D and GREW is 50.90% and 58.06%, respectively. The source code can be obtained from https://github.com/BoyeXiong/MCDGait.
Applying specific habitat indicators to study Asteraceae species diversity patterns in mountainous area of Beijing, China
Authors: zhang lin 
Published: March 2024

Abstract
Determining the distribution pattern and drivers of specific species diversity is significant for predicting the response to biodiversity and formulating conservation programs to reduce biodiversity loss. How to apply regional habitat indicators to study specific species diversity patterns is a hot spot in recent years. In this study, we investigated 112 Asteraceae plants sample plots and explored the effects of topography, soil nutrients and stand factors on Asteraceae species diversity by using SEM model. And the responses of Asteraceae species diversity to specific habitat factors was simulated by Maxent model. The results shown that soil nutrients had the highest, but topography and canopy closure had the lowest relative contributions to the Asteraceae species diversity among these factors. Topography and soil nutrients affected Asteraceae species diversity by direct and indirect effects. The contribution rate of each potential environmental variable’s impact on the Asteraceae species diversity was ranked as the following: STN (29.7%)> SOC (28.5%) > slope (8.5%)> Ele (8.1%). Asteraceae species diversity was abundant at high SOC (＞27g/kg), STN (＞1.8 g/kg), low Ele (165–333 m) and gentle slopes (5–12 degrees). Our study indicates that the Asteraceae species diversity could as an indicator to reflect or evaluate the level of soil nutrient content.
Modeling Network Traffic Generators for Cyber Ranges: A Systematic Literature Review
Authors: Bistene Jonas Vasconcelos , Chagas Clayton Escouper das , Santos Anderson Fernandes Pereira dos , Salles Ronaldo Moreira 
Published: March 2024

Abstract

Cyber ranges have evolved into indispensable environments for training personnel in the field of cyber defense. A critical aspect of enhancing the authenticity of these simulations involves the use of traffic generators, which accurately replicate real network traffic patterns. This article delves into the paramount role played by traffic generators within cyber ranges, highlighting their pivotal contribution to equipping personnel with the skills needed to respond adeptly to cyber threats. To address the modeling and validation of traffic generators comprehensively, it is essential to consider diverse approaches in cyber range training. To shed light on this subject, this review adopts a modified Scopus-based search methodology, providing in-depth insights into the methodologies and validation methods associated with traffic generator modeling and validation. The analysis concluded that the traffic generators used for computer network security training purposes can be broadly categorized into three main methodologies: model-based, trace-based, and hybrid approaches. Each of these methodologies has its own set of applications, limitations, and advantages. These factors have a direct influence on the validation parameters associated with these methodologies.
Children with secondary variants of CU traits exhibit preferential looking toward emotional female faces: evidence for gender-specific approach tendencies
Authors: Christou Antonios I. , Fanti Kostas , Mavrommatis Ioannis , Soursou Georgia 
Published: March 2024

Abstract

Children and adolescents with higher individual expression of CU traits have been shown to have aberrant patterns of approach-avoidance behavior in that they show a lack of avoidance. Additionally, approach-avoidance tendencies have been documented in the context of the angry-male/happy-female bias, where people tend to associate angry expressions with masculine faces (typically expected avoidance), and happy or surprised expressions with feminine faces (typically expected approach; Becker et al., 2007). The present eye-tracking study sought to investigate the potential existence of the gender-expression recognition bias in a sample of children with varying levels of CU traits. The sample consisted of 153 children (M = 9.97; SD: 1.28, min: 7.5; max: 49.0% girls). Results show that children with secondary variants of CU traits spent on average more time looking toward the happy and angry female faces compared to male faces in comparison to the low-risk, anxious, and primary CU groups. The study provides novel insights into the existence of elevated levels of gender-specific approach tendencies in children with secondary CU traits that are documented with preferential looking towards positively and negatively charged female faces.
Development and Optimization of maintenance Using Monte Carlo Method
Authors: Cheikh Khamiss , Boudi El Mostapha , Rabi Rabi , Mokhliss Hamza 
Published: March 2024

Abstract

Global competition has led to extraordinary changes in the way firms function. These developments have influenced maintenance and made its function even more vital to corporate success. To stay competitive, organizations must continuously enhance the amount of maintenance,so considerable efforts have been devoted in improving the economic performance of maintenance strategies for stochastically degrading production systems.This study is a contribution to robust decision making in maintenance of systems vulnerable to slow deterioration. Our first contribution is to create a criteria permitting the combined assessment of the mean economic performance and the resilience of various kinds of maintenance techniques. The benefit of the suggested criteria is that it adapts to various kinds of maintenance techniques and offers access to a simple and relevant assessment model. Specifically, using the long-term expected maintenance cost rate as the performance and the variance of maintenance cost per renewal cycle as the robustness, the study examines three representatives of time-based (BTM) and condition-based maintenance (CBM) families: a block replacement strategy (BR), a periodic inspection and replacement strategy (PIR) and quantile based and replacement strategy (QIR) . Mathematical cost models are created based on the homogeneous Gamma degradation process and probability theory. By using the Monte Carlo Method, the assessment of maintenance techniques involves a comparison against each other, applying a unique criteria to quantify performance and robustness in decision-making for each modification.
The Evolution and Scope of Cardiac Amyloidosis Research: A Bibliometric Analysis of Echocardiography
Authors: mei Liao , Feng Chuangli , guo juan 
Published: March 2024

Abstract
Background: Cardiac Amyloidosis (CA), a major systemic amyloidosis type, significantly affects the heart and other vital organs. This bibliometric analysis aims to evaluate the evolution and scope of CA research, with a focus on echocardiography, up to November 2023.
Methods: Articles related to CA and echocardiography were sourced from the Web of Science Core Collection (WOSCC). Data analysis involved the R package 'bibliometrix' for summarizing key findings, keyword tracking, and mapping global collaborations. VOSviewer facilitated co-authorship and keyword trend analyses, while CiteSpace identified essential references.
Results: The study included 477 articles, with the USA, Italy, and France as the predominant contributors. Research output showed an increasing trend, particularly from 2014 onwards. Notable findings include the integration of artificial intelligence in echocardiography and the expansion of multimodal imaging methods. Common keywords included 'cardiac amyloidosis' and 'echocardiography.'
Conclusions: This study presents a comprehensive bibliometric overview of CA research, emphasizing the growing role of echocardiography enhanced by AI and advanced imaging techniques. The findings provide valuable insights for ongoing research and clinical practice in cardio-oncology.
Computational simulation of a compressible flow around the NASA CRM using PETSc4FOAM
Authors: Castro Hugo Guillermo , Zampini Stefano , Dalcin Lisandro Daniel , Parsani Matteo 
Published: March 2024

Abstract

Efficient simulation of industrial problems requires high-performance computing and appropriate linear solvers. The aim of this work is to present a performance analysis of the OpenFOAM [1] built-inlinear algebra solvers and the linear solvers available via PETSc4FOAM [2], when they are applied to large-scale problems. The problem selected for this comparison is the well-known NASA Common Research Model (CRM). This study highlights the importance of using appropriate linear solvers and high-performance computing for efficient simulation of industrial problems. The effectiveness of PETSc4FOAM for solving such problems using OpenFOAM is discussed. The results can aid in the selection of appropriate solvers and preconditioners for solving similar problems in the future.
Serum albumin levels and pulmonary embolism risk: insights from observational and mendelian randomization studies
Authors: Huang Zhihai , Huang Wenqiang , Pang Lingpin , Sun Jie , Wu Jun , Huang Tao , Peng Xiaodong , Wu Jinbo , Xian Qian , Guo Dingyu , Zhu Minghui , Sun Xishi 
Published: March 2024

Abstract

BACKGROUND: Previous observational studies have linked serum albumin (ALB) to prognosis in patients with pulmonary embolism (PE). Nevertheless, the nature of the association between serum albumin and PE risk remains unclear, and the potential causality requires to be investigated. Our study aimed to integrate an observational study and a two-sample Mendelian randomization (MR) analysis to comprehensively assess the relationship between serum albumin and PE risk.
METHODS: A total of 13,326 participants, consisting of 749 PE patients and 12,577 non-PE controls, were selected from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database for an observational study. The effects of serum albumin on PE risk were assessed using propensity score matching (PSM) and restricted cubic spline (RCS) model analysis, adjusting for multiple covariates. Subsequently, a two-sample MR analysis was performed using summary statistics from genome-wide association studies (GWAS) to assess the causality between serum albumin and PE risk. Sensitivity analyses were carried out to confirm the robustness of MR results.
RESULTS: The results of PSM indicated that the serum albumin levels were lower in PE patients (3.97 g/dL) than in non-PE controls (4.09 g/dL). The RCS model demonstrated a linear negative correlation between serum albumin and PE risk (P for nonlinear > 0.05). MR analysis confirmed a causality between serum albumin (OR = 0.744, 95% CI: 0.642~0.861, P < 0.001) and PE risk.
CONCLUSION: Our study provided evidence that low serum albumin appeared to be associated with an increased risk of PE, and this association was possibly causal.
Coronectomy of mandibular third molars with dental pathology: a prospective cohort study of 121 molars
Authors: Bodegraven Arjan , Simons Rashida , Tuk Jacco , de Lange Jan , Lindeboom Jerome A.H. 
Published: March 2024

Abstract

Purpose Coronectomy is a valuable treatment proven safe for non-pathological mandibular third molars with an increased risk of inferior alveolar nerve injury. Coronectomy may also be useful for mandibular third molars with dentigerous cysts and caries, but this is not commonly performed due to the lack of well-designed, evidence-based studies. Here, we aim to investigate the safety of coronectomy for mandibular third molars with caries and dentigerous cysts.
Methods A total of 115 patients with an impacted mandibular third molar with a dentigerous cyst or caries underwent coronectomy or complete removal and received follow-up with clinical and radiographical examinations. We statistically compared the presence of postoperative complications after coronectomy versus complete removal.
Results Data from 121 molars were available for analysis. The results revealed no significant difference in the occurrence of postoperative complications (including persistent pain, inferior alveolar nerve injury, infection, alveolar osteitis, excessive bleeding, and the need for retreatment) between coronectomy and complete removal. Additionally, the incidence of postoperative complications was not related to any analyzed patient- or molar-related factors, including age, gender, health status, smoking, caries, dentigerous cyst extent, and impaction degree.
Conclusion For pathological impacted mandibular third molars with dentigerous cysts and caries, coronectomy exhibited both short-term and long-term safety, showing no significant difference in postoperative complications compared to total removal. Our results suggest that coronectomy can be indicated for pathological mandibular third molars with proximity to the inferior alveolar nerve.
TRIB3 As an Emerging Biomarker and Potential Target for Cholangiocarcinoma: Evidence from Experiments and Bioinformatics
Authors: Chen Shen , Jiao Yijie , Lai Yuping , Cao Jiarui , Cao Rui , Li Ke , Cheng Zhiheng , Liao Siqian , Niu Xiaoqiang , Tu Maopu , Mao Shengxun , Li Huizi 
Published: March 2024

Abstract
Cholangiocarcinoma (CHOL) is an aggressive tumor originating from the epithelium of the bile duct, with increasing incidence and mortality rates. Cholangiocarcinoma, a malignant tumor that is difficult to detect in the early stages, has limited treatment options. There is an immediate requirement to identify biomarkers for earlier screening, prognostic analysis, and targeted therapy for CHOL. Studies have demonstrated that tribbles homolog 3 (TRIB3) is highly expressed in 16 different cancer types and is strongly associated with worse prognosis. However, the effects and mechanisms of TRIB3 expression in CHOL are not clear. Analysis of multiple databases and experiments suggests that TRIB3 is overexpressed in CHOL and positively correlates with bad prognosis compared to neighboring normal tissues. TRIB3 demonstrates high accuracy in predicting the diagnosis of CHOL (AUC=0.876). Bioinformatics analysis showed that TRIB3 was related to immunocyte infiltration in CHOL. Silencing of TRIB3 reduced proliferation, invasion and migration of CHOL cell lines RBE and HuccT1, while promoting apoptosis. In summary, TRIB3 is overexpressed in CHOL and promotes cell proliferation, invasion and migration, whereas silencing TRIB3 promotes apoptosis. TRIB3 is positively correlated with poor prognosis and accurately predicts the diagnosis of CHOL.TRIB3 may be an emerging biomarker and a potiential target for CHOL.
Secure Hash Function Utilizing Asymptotically Coupled Cross-Coupled Map Lattices in Spatial Dimensions
Authors: Li Yuxuan 
Published: March 2024

Abstract
The exploration of spatiotemporal chaos and its integration into cryptographic hash functions has attracted considerable attention, driven by the intrinsic complexity and unpredictability of chaotic systems. In this paper, we introduce a novel cross-coupled map lattice with spatially varying coupling coefficients, diverging from the traditional Cross-Coupled Map Lattice that utilizes fixed coupling coefficients. Our innovative approach incorporates a gradient in the coupling strength along the spatial dimension, which, as evidenced by our experiments, leads to enhanced chaotic indices. Capitalizing on the superior characteristics of the modified cross-coupled map lattice, we have devised a new hash function capable of transforming data of arbitrary length into hash values of 128, 256, or 512 bits. Through extensive experimentation, we have rigorously assessed the security performance of the proposed hash function. Our results indicate that the spatially varying coupling coefficients in the cross-coupled map lattice significantly bolster the hash function's robustness and reliability, rendering it an appealing choice for cryptographic applications and secure data transmission.
Globally occurring pelagiphage infections create ribosome-deprived cells
Authors: Brüwer Jan D. , Sidhu Chandni , Zhao Yanlin , Eich Andreas , Rößler Leonard , Orellana Luis H. , Fuchs Bernhard 
Published: March 2024

Abstract

Phages play an essential role in controlling bacterial populations. Those infecting Pelagibacterales (SAR11), the dominant bacteria in surface oceans, have been studied in silico and by cultivation attempts. However, little is known about the quantity of phage-infected cells in the environment. Using fluorescence in situ hybridization techniques, we here show pelagiphage-infected SAR11 cells across multiple global ecosystems and present evidence for tight community control of pelagiphages on the SAR11 hosts in a case study. Up to 19% of SAR11 cells were phage-infected during a phytoplankton bloom, coinciding with a ~ 90% reduction in SAR11 cell abundance within five days. Frequently, a fraction of the infected SAR11 cells were devoid of detectable ribosomes, which appear to be a yet undescribed possible stage during pelagiphage infection. We dubbed those cells ‘zombies’ and propose, among other possible explanations, a mechanism in which ribosomal RNA is used as a resource for the synthesis of new phage genomes. On a global scale, we detected phage-infected SAR11 and zombie cells in the Atlantic, Pacific, and Southern Oceans. Our findings illuminate the important impact of pelagiphages on SAR11 populations and unveil the presence of ribosome-deprived zombie cells as part of the infection cycle.
Comparison of corneal endothelial cell density reduction between primary open angle glaucoma and pseudo-exfoliation glaucoma patients at 3 years after Ex-Press® surgery
Authors: Yamazaki Hitoshi , Tojo Naoki , Otsuka Mitsuya , Ueda-Consolvo Tomoko , Hayashi Atsushi 
Published: March 2024

Abstract

Purpose
We compared corneal endothelial cell (CED) loss between primary open angle glaucoma (POAG) and pseudo-exfoliation glaucoma (PEX) after Ex-Press (EXP) surgery.
Patients and Methods:
This was a single-facility retrospective study. We included patients who had undergone EXP surgery and were followed up > 3 years. We measured the CED before and after EXP surgery by noncontact specular microscopy. We measured the CED at baseline and 12, 24, and 36 months post-surgery and compared the means of the CED values and CED survival ratios after EXP surgery by paired t-test.
Results
We included 119 eyes that underwent EXP surgery: POAG group, n = 60 eyes; PEX group, n = 59 eyes. In the POAG group, the mean CED decreased from 2389 ± 321 at baseline to 2230 ± 424 cells/mm2 after 3 years. In the PEX group, the mean CED decreased from 2111 ± 510 at baseline to 1845 ± 628 cells/mm2 after 3 years. After the 3-year follow-up, the CED survival ratio was 93.3 ± 12.5% in the POAG group and significantly lower at 85.0 ± 19.5% in the PEX group (p = 0.0064). Two cases in the PEX group developed bullous keratopathy.
Conclusions
Compared to POAG, EXP surgery for PEX patients decreased their corneal endothelial cells faster.