bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Zero-watermarking Algorithm for Vector Geographic Data Based on Feature Invariants
Authors: Wang Shuai , Zhang Li-Ming , Zhang Qi-Hang , Li Yu 
Published: September 2022

Abstract
Most researches on zero-watermarking algorithms for vector geographic data focus on improving the robustness against geometrical attacks, compression attacks and object attacks. However, there are few zero-watermarking algorithms against projection transformation. We proposed a zero-watermarking algorithm for vector geographic data based on feature invariants. After any projection transformation of vector geographic data, the number of vertices and relative storage order of objects does not change. Therefore, the number of vertices and relative storage order of objects can be considered as the feature invariants. Firstly, according to relative storage order of objects, the watermark bit is determined by comparing the number of vertices between any two objects. Secondly, the watermark index is calculated by the number of vertices of two objects. Then, a feature matrix is constructed combining the watermark bit and the watermark index. Finally, the XOR operation is performed between the feature matrix and the scrambled watermark image to generate the zero-watermark image. The experiments show that the watermark can be detected from the vector geographic data after any projection transformation. And this algorithm can effectively against geometrical attacks, object attacks and precision reduction attacks, showing superior performance compared with previous algorithms.
Resilience of Digitalized Power Systems – Challenges and Solutions
Authors: Brand Michael , Stark Sanja , Holly Stefanie , Kamsamrong Jirapa , Mayer Christoph , Lehnhoff Sebastian 
Published: September 2022

Abstract
Power systems are undergoing a transition from centralized generation to distributed renewable generation. That calls for more flexibility in balancing generation and consumption because distributed energy resources in most cases rely on weather-dependent resources and can, therefore, only be controlled to a certain degree. The necessary flexibility can be achieved by introducing digitalization into the energy system. However, digitalization also leads to new vulnerabilities of the power system and increases its complexity. Additionally, the often rapid and unforeseeable development of information and communication technology introduces a new level of uncertainty in the system design. These circumstances make it necessary to shift from a classical design of robust to the design of resilient power systems that are able to anticipate, react to, and recover from them.
In this paper, these real-time attributes of a resilient digitalized power system are analyzed with respect to potential measures: an enhanced situational awareness, virtualization, flexibilization, and a distributed blackstart. The measures tackle different challenges for resilient digitalized power systems and cover different phases of the resilience process, visualized in the so-called resilience bathtub curve. The implementation of these measures can increase the resilience of a digitalized power system and are meant to be combined with further, also non-real-time measures.
The Dual Role of ZEB2 in COAD Metastasis and Immunology
Authors: Wang Jingjing , Lu Bin , Zeng Simin , Kong Fandong , Li Liqing , Zhuo Huiyan , Li Youqiang 
Published: September 2022

Abstract
Background: The zinc finger E-box binding homeobox (ZEB2), which can accelerate the nuclear DNA replication by inducing the activation of upstream transcription promoters, was widely considered as an oncogene. Recent study has found that the overexpression of ZEB2 is associated with a better prognosis in hepatocellular carcinoma. However, its roles in tumor growth, metastasis, and immunology are yet to be elucidated in COAD.
Methods: The pan-cancer sequencing data was acquired from The Cancer Genome Atlas (TCGA)-Pan cancer cohort, normal human tissue data was acquired from the Genotype-tissue expression (GTEx) database, and Broad Institute Cancer Cell Line Encyclopedia (CCLE) were downloaded from UCSC Xena. We used the cBioPortal webtool to analyze and visualize the ZEB2 pan-cancer genomic alteration rate. GEO Expression Datasets were used to explore ZEB2 expression levels in COAD patients. UCSC Xena database was used to download prognostic information of COAD patients. The Cox regression and Kaplan–Meier analyses were used to assess the prognostic role of ZEB2 in COAD. Kyoto Encyclopedia of Genes and Genomes (KEGG) was performed to determine the biological pathways. Gene Ontology (GO) enrichment analysis was performed to determine the biological processes, molecular functions, and cellular components that were altered in a ZEB2-dependent manner in COAD. The module analysis of PPI interaction network was performed using the MCODE tool of Cytoscape software, and the characteristic molecules were selected by cytohHubba tool. CIBERSORTx database was used to analyze the ZEB2 expression in the presence of 22 types of immune infiltrating cells.
Results: This study found that ZEB2 was aberrantly expressed in most cancer types, and it was significantly downregulated in COAD compared with normal tissue. In addition, our findings also show that overexpression of ZEB2 was associated with a better prognosis in COAD. Mechanistic analysis revealed that overexpression of ZEB2 was associated with the neutrophil extracellular trap formation in COAD. And the results show that ZEB2 expression was significantly correlated with several kinds of immune cell infiltration.
Conclusion: This study demonstrates that overexpression of ZEB2 was associated with better prognoses in patients with COAD. ZEB2 has close relationship with ACTB, which was highly related to NETs. These findings suggest a dual role of ZEB2 in COAD growth, metastasis, and immunology.
Comparison of the effect of double-lumen endotracheal tubes and bronchial blockers on lung collapse in video-assisted thoracoscopic surgery: A systematic review and meta-analysis
Authors: Xiang Ying-ying , Chen Qi , Tang Xi-xi , Cao Lei 
Published: September 2022

Abstract
Objective: This meta-analysis compared the quality of lung collapse and the resultant adverse reactions between the use of double-lumen endotracheal tubes (DLT) and bronchial blockers (BB) in minimally invasive thoracic surgery.
Methods: A search was performed in five bibliographic databases, namely PubMed, Springer, Medline, EMBASE, and Cochrane Library ignoring the original language, which identified five randomized controlled trials (RCTs) published on or before December 31, 2021. These studies were subsequently analyzed. All included studies compared the efficacy and safety of DLT and BB as a lung isolation technique in surgery. The methodological quality of each study was assessed by the Cochrane Collaboration’s risk of bias tool. The quality of lung collapse and the malposition rate were adopted as the main outcome indicators. Alternatively, the intubation time and the incidence of postoperative sore throat were adopted as secondary indicators.
Results: When either DLT or BB were utilized in minimally invasive thoracic surgery, no differences were observed in the quality of lung collapse (odds ratio [OR], 1.00; 95% confidence interval [CI], 0.63 to 1.58), the intubation time (mean difference [MD], 0.06; 95% CI, -1.02 to 1.14), or the malposition rate (OR, 0.88; 95% CI, 0.37 to 2.06). However, the incidence of postoperative sore throat among patients treated with BB was significantly lower than that among patients treated with DLT (OR, 5.25; 95% CI, 2.55 to 10.75).
Conclusion: When utilized in minimally invasive thoracic surgery, the quality of lung collapse with DLT was identical to that with BB. However, patients treated with the latter demonstrated a significantly lower incidence of postoperative sore throat.
The Effect of an Integrated Care Intervention of Multidisciplinary Mental Health Treatment and Employment Services for Trauma-affected Refugees; Study Protocol for a Randomised Controlled Trial
Authors: Bruhn Maja , Laugesen Henriette , Kromann-Larsen Matilde , Trevino Cathrine Selnes , Eplov Lene , Hjorthøj Carsten , Carlsson Jessica 
Published: September 2022

Abstract
Background

The complexity of past trauma and ongoing post-migration stressors challenges the existing mental health treatment for trauma-affected refugees. Therefore, interventions are needed to accommodate these complex challenges in mental health treatment. This study examines the effect of an add-on integrated care intervention compared to treatment as usual (TAU) for trauma-affected refugees in a randomised controlled trial (RCT).

Methods

The study is carried out at a Danish outpatient clinic and will include 197 treatment-seeking refugees with post-traumatic stress disorder (PTSD) who are unemployed and affiliated with municipal employment services. Mental health TAU comprises 10 sessions with a medical doctor (pharmacological treatment and psychoeducation) and 16–20 sessions with a psychologist (manual-based cognitive behavioural therapy) for a period of eight to 12 months. The add-on intervention strengthens coordination between mental health treatment and employment interventions with three cross-sectoral collaborative meetings during the mental health treatment. The integrated care intervention draws attention to the bidirectional impact of mental health problems and post-migration stressors and focuses on cross-sectoral shared plans. The primary outcome is functioning, measured by WHODAS 2.0, the interviewer-administered 12-item version, with secondary outcomes measuring quality of life, mental health symptoms, and post-migration stressors.

Discussion

The RCT is novel in intervention design for trauma-affected refugees and will bring forward new perspectives and knowledge of integrated care interventions for trauma-affected refugees. The integrated care intervention is expected to reduce post-migration stressors that negatively affect the treatment of trauma-related mental health problems, thereby improving preconditions for enhanced treatment outcomes. The intervention builds on existing practices in the Danish healthcare and employment sectors, which ensures high scalability and sustainability for future practices.
Trial registration: ClinicalTrials.gov Identifier: NCT04244864, registered 28 January 2020, https://clinicaltrials.gov/ct2/show/NCT04244864.
Protocol version: 30 August 2022, version 1.
A non-iterative parameter identification procedure for the non-local Gurson-Tvergaard-Needleman model based on standardized experiments
Authors: Khatib Omar El , Hütter Geralf , Pham Rinh-Dinh , Seupel Andreas , Kuna Meinhard , Kiefer Bjoern 
Published: September 2022

Abstract
Damage mechanics models exhibit favorable properties such as the intrinsic influence of stress triaxiality on damage evolution and the prediction of crack initiation as well as propagation leading to structural failure. However, their application requires advanced expertise hindering the transfer of these models into industrial practice. Especially the parameter calibration can be identified as a key obstacle. In this paper, a simplified procedure is proposed for a non-local extension of the Gurson-Tvergaard-Needleman model (GTN), which is a highly accepted model for ductile failure of metals. The procedure is iteration free and finally requires experimental input data from only two standardized tests. The parameters are determined using look-up diagrams created on the basis of systematic simulations and made available for different material behavior covering the majority of ductile metals. Benchmark tests for three different steels are conducted to evaluate the robustness of the proposed procedure. The reliability of the GTN model is validated for all investigated materials.
The Nexus between Long-term Care Insurance, Formal Care, Informal Care, and Bequests: The Case of Japan
Authors: Horioka Charles Yuji , Gahramanov Emin , Tang Xueli 
Published: September 2022

Abstract
The purpose of this paper is to examine the nexus between long-term care insurance (LTCI), formal care, informal care, and bequests using micro data from Japan, where a public LTCI system was introduced in 2000. In particular, we use data from the Japan Household Panel Survey on Consumer Preferences and Satisfaction (JHPS-CPS), formerly known as the Preference Parameter Study, conducted by Osaka University, to analyze the impact of LTCI eligibility on informal care children provide to their parents and through this channel on bequests. To summarize the main findings of this paper, we find that, if parents are eligible for public LTCI benefits, their children will be less likely to be their primary caregiver and that this, in turn, will reduce their children’s perceived likelihood of receiving a bequest from them. This result implies that bequests are selfishly or strategically motivated (i.e., that parents leave bequests to their children in order to elicit care from them) and that the introduction of a public LTCI system will reduce the likelihood of children providing care to their parents and through this channel reduce their perceived likelihood of receiving a bequest from them.
JEL classification codes: D11, D12, D15, D64, E21, I13, J14
A case weighted similarity deep measurement method based on a self-attention Siamese neural network
Authors: Cheng Zijun , Yan Aijun 
Published: September 2022

Abstract
To improve the accuracy of similarity measures in case-based reasoning, in this paper, we propose a deep metric learning method based on a self-attention mechanism and a Siamese neural network to realize the weighted similarity measure between cases. The method maps the original case features to the new feature space through the Siamese neural network and then assigns the feature weights through the scoring function in the self-attention mechanism. Finally, a metric function is added to the contrastive loss to measure the case similarity. Experiments show that the accuracy of this method is better than other algorithms in the similarity measure and can improve the accuracy of case retrieval.
Generation and Prediction of Water Waves Induced by Rigid Piston-like Landslide
Authors: Li Pengfeng , Jing Haixiao , Li Guodong 
Published: September 2022

Abstract
Accurate prediction of water waves generated by landslides is of significant importance in the early warning and risk assessment of landslide disasters. And previous studies shown that landslide-induced waves are of various types, which indicates that there are different generation regimes for landslide induced waves. In the present study, the generation of water waves by a rigid landslide is studied numerically and theoretically. According to the motion characteristics of a landslide, three types of landslide motions, including piston-like, plunger-like, and transition landslide motions are detected. The performed analyses demonstrate that the solitary-like wave and dissipative transient bore are generated by piston-like landslides. Moreover, nonlinear oscillatory and transition waves are generated by plunger-like and transition landslides, respectively. It is also found that the wave height generated by piston-like landslide depends on the effective velocity of fluid translated by the landslide. For piston-like landslide motion, the correlation between the wave height, wavelength, and the effective velocity of a rigid landslide are established theoretically, and then it is verified using numerical results. The present study is expected to provide a reference to investigate early warning of landslide-induced waves.
Track Initiation Based on Adaptive gates and Fuzzy Hough Transform
Authors: Zeng Liu , Xiao Gang , Ding Chunshan , He Yangguang 
Published: September 2022

Abstract
In order to select reliable tracks from the limited measurement cycles, the track initiation has been studied, which affects all subsequent stages of target tracking. Numerous false target tracks were produced by traditional logic algorithms, and the Hough transform method was sensitive to noise. Based on adaptive gates and fuzzy Hough transform, a track initiation algorithm is proposed in this paper, which combines the advantages of the two types of methods to reduce the amount of false alarm, and completes the high-quality track initiation. Firstly, an adaptive gate is designed to filter the detection clutter. And then the fuzzy theory is used to obtain the accumulated matrix in the Hough transform process. Finally, the tracks are determined by the threshold method, and the track initiation is completed. The proposed method can reduce the false track occupancy rate, and complete higher quality track initiation in short detection cycles in simulation experiments. It is more suitable for multi-target track initiation under the surroundings of intensive clutter.
Ureaplasma parvum infection induces inflammatory changes in vaginal epithelial cells independent of sialidase
Authors: Amabebe Emmanuel , Richardson Lauren S. , Bento Giovana Fernanda Cosi , Radnaa Enkhtuya , Kechichian Talar , Menon Ramkumar , Anumba Dilly OC 
Published: September 2022

Abstract
Background
Ureaplasma, a subspecies of genital Mycoplasma is one of the most common microbes isolated from women with infection/inflammation-associated preterm labor (PTL). Mycoplasma spp. produce sialidase that cleaves sialic acid from glycans of vaginal mucous membranes and facilitates adherence and invasion of the epithelium by pathobionts, and dysregulated immune response. However, whether Ureaplasma species can induce the production of sialidase is yet to be demonstrated. We examined U. parvum-infected vaginal epithelial cells (VECs) for the production of sialidase and pro-inflammatory cytokines.
Methods
Immortalized VECs were cultured in appropriate media and treated with U. parvum in a concentration of 1 x 105 DNA copies/ml. After 24 hours of treatment, cells and media were harvested. To confirm infection and cell uptake, immunocytochemistry for multi-banded antigen (MBA) was performed. Pro-inflammatory cytokine production and protein analysis for sialidase confirmed pro-labor pathways.
Results
Infection of VECs was confirmed by the presence of intracellular MBA. Western blot analysis showed no significant increase in sialidase expression from U. parvum-treated VECs compared to uninfected cells. However, U. parvum infection induced increased production of GM-CSF, IL-6, and IL-8 in VECs compared to controls.
Conclusions
U. parvum infection of VECs induced inflammatory imbalance associated with vaginal dysbiosis but did not alter sialidase expression at the cellular level. These data suggest that U. parvum’s pathogenic effect could be propagated by locally produced pro-inflammatory cytokines and, unlike other genital mycoplasmas, may be independent of sialidase.
Risk factors associated to Streptococcus suis cases in swine farms in Spain
Authors: Neila-Ibáñez Carlos , Napp Sebastián , Pailler-García Lola , Franco-Martínez Lorena , Cerón José Joaquín , Aragon Virginia , Casal Jordi 
Published: September 2022

Abstract

Background:Streptococcus suis, an early colonizer of the upper respiratory tract, can cause theS. suis-associated disease, a major infection characterized by meningitis, polyarthritis, and acute death, in piglets mainly around weaning age. However, little is known about the factors responsible for triggering the disease. Therefore, a longitudinal study was carried out, in which a total of six batches from two Spanish swine farms withS. suisproblems were repeatedly examined, once in the farrowing unit and twice in the weaning unit.Results: Potential risk factors evaluated included: a) concomitant pathogens such as porcine reproductive respiratory syndrome virus (PRRSV), porcine circovirus type 2, swine influenza virus, andGlaesserellaparasuis; b) biomarkers associated to stress (cortisol), inflammation (haptoglobin), and oxidative status (hydrogen peroxide); c) farm environmental factors such as temperature, relative humidity, CO2, and temperature-humidity index; and d) parity andS. suispresence in sows. Three models were built to study the effect of these variables, including two to assess the risk factors involved in the subsequent development of the disease. Presence ofS. suisproblems during the study was confirmed by its isolation in lesions in both farms. Risk factors forS. suisdisease included PRRSV coinfection at weaning (Odds ratio (OR) = 6.69), sow parity (OR = 0.71), haptoglobin before weaning (OR = 1.01), and relative humidity in the farrowing unit as well as temperature at weaning (OR = 1.11 and 0.13, respectively).Conclusions: This study confirms the multifactorial nature ofS. suis-associated disease, for which both environmental factors and factors related to the host seem to be involved in the development of the disease.
Development of an automated structural design system for progressive dies based on the integrated design methodology of process and structure
Authors: kong haijiao , zhang zhibing , wei yang , liu yuqi 
Published: September 2022

Abstract
The process of designing progressive dies can be complex, tedious, time-consuming, and error-prone, which can significantly impact the development period and design quality. This paper presents a systematic methodology that includes the planning design and automated design of die structure. A super process model (SPM) is presented as the output of the planning design of die structure and the input of the automated design of die structure. Subsequently, parametric template methodology based on deformation feature process geometry (DFPG) is proposed to automate the design of punches and dies. Lastly, a layout method based on layout space for standard parts is proposed to perform the automated layout of standard parts for die-sets, punches, and dies; additionally, a robust calculation method of layout space is introduced. This system is then implemented in two home appliance enterprises. Case studies and industrial applications have demonstrated the effectiveness of the developed system, which can improve the design efficiency by a minimum of 85% and reduce design error by an average of 50%.