bluuebunny/crossref_metadata_2025_split huggingface dataset:
Composite Multi-dimensional Trust-based Schemes (CMT) for the Threat Information Sharing
Authors: Bennaceur Jihen , Zouaghi Wissem , Hammouda Imed , Mabrouk Ali 
Published: September 2022

Abstract
The trust concept becomes more and more popular by paving its way gradually into the modern field. Thus, it becomes a more alluring and attractive solution to secure and protect information sharing against attackers. Indeed, malicious entities can launch intentionally or unintentionally very harmful attacks against the information sharing process causing network paralysis. In this paper, we propose composite trust-based schemes from the perspective of direct experience and entities’ recommendations to enhance the shared threat information in the public and private communities. Therefore, we introduce a first trust-based model defined by several specific dimensions to improve the security of private/targeted communities. Furthermore, a second trust-based scheme is proposed for the public community where the concept of zero-trust is introduced to enhance the shared critical data inside this open environment. Thus, our proposal reveals a new level of defense against the misbehaving entities by introducing a penalty scheme to punish the malicious and suspicious users and to exempt the attackers with continuous misbehaving from participating in the information sharing process. Extensive simulations demonstrate that the proposed trustbased model provides high stability and resistance in a heavily hostile environment for the public and private communities.
A sensor placement strategy based on an enhanced damage localization method in beam-like structures: Saddle Point Criteria
Authors: TUFAN Tarık 
Published: September 2022

Abstract
The sensor deployment is one of the concerns in structural health monitoring. A novel sensor placement strategy based on a sensitivity-based damage detection method is presented. An existing damage detection method is simplified and adapted for multiple damages and different type of beam-like structures and proved to be appropriate numerically. Depending on the noise in the response and restricted measurement, the results show the validity of the damage identification method using the first three modes. However, the method has limitations due to the saddle points in the parameter. To cope with the limitation in the proposed damage detection method, a sensor deployment scheme is proposed. Contrary to counterpart procedures, the method neither depends on an optimization algorithm nor a physical model of the system. The sensor placement strategy is related to the deployment of accelerometers and strain gauges/Large Area Electronics at the same time.
Self-Assembled Perfect Absorber for Laser-Driven Flyer
Authors: Huang Xin , Ji Xiangbo , Qin Wenzhi , Hou Yidong , Gao Fuhua , Wang Yao , Wang Liang 
Published: September 2022

Abstract
Laser-driven flyer (LDF) ignition has attracted lots of attentions due to its high safety and reliability when using in the areas of detonation, dynamic high-pressure physics and space scrap metal science. In this work, we experimentally demonstrate a high-performance LDF through introducing a perfect absorber in the ablation layer to improve the energy utilization efficiency, where the perfect absorber composed by a layer of silver nano-triangular array, a dielectric layer, and a layer of silver film. The perfect absorber was realized by the simple and low-cost colloid lithography technique, and the maximal absorbance can reach to about 95% at 1064 nm under an optimization condition. The in-depth electromagnetic simulation indicates that the perfect absorber can greatly improve the energy absorbance in the ablation layer at the beginning of laser illumination, and thus the temperature and pressure of the subsequently generated plasma. In experiment, this improved plasma was used to launch a 25-um thick Al flyer, and the flyer velocity is measured using a photonic doppler velocimetry. A maximum speed of about 2168 m/s is achieved in experiment, which is about 1.3 times larger than that (1650 m/s of the pure Al foil flyers. The extracted transient accelerated speed indicates that the absorber improved LDF owns higher accelerated speed at the beginning 20 ns, especially for the beginning 5 ns. The striking experiment indicates that the flyers formed in the improved LDF own a larger averaged striking depth, and some flyers give a striking depth in 80 µm that is twice larger than that formed in the normal LDF. The electromagnetic properties of the perfect absorber, the transient speed of flyer, and the striking morphology have been systematically investigated.
Influence of Device Performance of Sub-15 nm high K dielectric-based MOSFETs over Conventional Si-based MOSFETs.
Authors: Singh Abhay Pratap Singh , Baghel Rajendra Kumar Baghel , Tirkey Sukeshni Tirkey 
Published: September 2022

Abstract
A channel-engineered single insulator gate metal oxide field effect transistor (MOSFET) for low-power digital circuitry has been proposed in this study. This study examines the effects of several dielectric insulators used as gate materials, silicon dioxide (SiO2), silicon nitride (Si3N4), hafnium dioxide (HfO2), and zirconium dioxide (ZrO2). The device's performance parameters are enhanced by utilizing different dielectrics in MOSFETs as a gate dielectric since the leakage current is significantly decreased. Following the validation of simulation findings using MOSFET reference data, the structure is evaluated by 15nm and 20nm node technology. In particular 15 nm scale, MOSFET exhibits reduced IOFF, higher ION/IOFF ratio, enhanced Drain Induced Barrier Lowering (DIBL), and Sub-threshold Slope (SS). For proposed MOSFETs, the simulated values of ION, IOFF, ION/IOFF, SS, DIBL, TGF, output conductance (gd), intrinsic gain (Av), and early voltage (VEA) shows improvements which are helpful in digital logic applications.
Extracellular Free Water Elevations are Associated with Maternal Cytokine Response in a Nonhuman Primate Maternal Immune Activation Model
Authors: Carter Cameron , Lesh Tyler , Iosif Ana-Maria , Tanase Costin , Vlasova Roza , Ryan Amy , Bennett Jeffrey , Hogrefe Casey , Maddock Richard , Geschwind Daniel , de Water Judy Van , McAllister A. Kimberley , Styner Martin , Bauman Melissa 
Published: September 2022

Abstract
Maternal infection has emerged as an important environmental risk factor for neurodevelopmental disorders, including schizophrenia and autism spectrum disorders. Animal model systems of maternal immune activation (MIA) suggest that the maternal immune response plays a significant role in the neurodevelopment and behavioral outcomes of offspring. Extracellular free water is a measure of freely diffusing water in the brain that may be associated with neuroinflammation and impacted by MIA. The present study evaluates the brain diffusion characteristics of male rhesus monkeys (Macaca mulatta) born to MIA-exposed dams (n = 14) treated with a modified form of the viral mimic polyinosinic:polycytidylic acid at the end of the first trimester. Control dams received saline injections at the end of the first trimester (n = 10) or were untreated (n = 4). Offspring underwent diffusion MRI scans at 6, 12, 24, 36, and 45 months of age. Offspring born to MIA-exposed dams showed significantly increased extracellular free water in cingulate cortex gray matter starting as early as 6 months of age and persisting through 45 months. Additionally, offspring gray matter free water in this region was significantly correlated with the magnitude of the maternal IL-6 response in the MIA-exposed dams. These findings provide strong evidence for the construct validity of the NHP MIA model as a system of relevance for investigations of the pathophysiology of human neurodevelopmental psychiatric disorders. Elevated free water in individuals exposed to immune activation in utero could represent an early marker of a perturbed or vulnerable neurodevelopmental trajectory.
Identification of MCM4 as an independent prognostic factor and correlate with immune infiltration in Lung Adenocarcinoma through bioinformatics analysis
Authors: wei xueqiang , Lei Yujie , Zhao Guangqiang , Wang Xi , Ye Lianhua , Huang Yunchao 
Published: September 2022

Abstract
Background: Lung cancer is the most common malignant tumor with the highest mortality all over the world. Among it, Lung Adenocarcinoma owns the highest proportion of pathological classification.Yet, the fuction of MCM4 in the occurrence of Lung Adenocarcinoma is still unknown.In this research, we attempted to disscuss the potential role of MCM4 in LUAD through bioinformatics analysis and hoped to provide a new idea for clinical treatment.Methods: The data of Lung Adenocarcinoma in TCGA and GEO were downloaded.The correlation between MCM4 and immune infiltration were performed by R software packages .Enrichment analysis were underwent to analyze the functions of MCM4. Univariate and multivariate Cox regression analysis were utilized to determine whether MCM4 could be act as an independent prognostic factor for Lung Adenocarcinoma.Lastly,the expression of MCM4 was validated in clinical tissues by immunohistochemistry (IHC), real-time quantitative reverse transcriptase polymerase chain reaction (qRT-PCR), and western blotting (WB).Results: The expression of MCM4 was up-regulated in 13 tumors and was significantly correlated with age, gender, stage, T, N and smoke history. Furthermore, the Kaplan-Meier survival curves pointed that LUAD samples with lower MCM4 expression had longer Overall survival (OS) and the Disease-free survival (DFS) in 4 datasets. Univariate Cox regression analysis showed that the p value of MCM4 expression was less than 0.05(P＜0.05) and it appeared in the results of multivariate Cox regression analysis(HR≥1), which indicated that MCM4 can be used as an independent prognostic factor for LUAD.Enrichment Analysis suggested that MCM4 was correlated with the multiple biological functions and involved in vital pathways in GO and KEGG. Furthermore, the MCM4 expression was correlated with immune cells infiltration.Finally,the experimental results were consistent with the bioinformatic analysis.Conclusion: MCM4 might serve as a prognostic biomarker and correlate with immune infiltration in LUAD.
Patients with Advanced Pancreatic &amp; Biliary Cancer Appear More Vulnerable to SARS-CoV-2 Omicron Variant: An Observational Study during the COVID-19 Outbreak in Shanghai
Authors: Han Tao , Li Heming , Chen Lujun , Zhao Min , Wu Shen , Yang Jue , Wang Hao , Wu Jun , Zhang Yue , Cong Yun , Zhao Mingfang , Wang Jiening , Li Kai , Chen Tingsong 
Published: September 2022

Abstract
Background:There is a great controversy about lethal effect of Omicron Variant on vulnerable populations and the measure of full-open or zero community transmission policy. Thus, we designed an observational study to evaluate the outcomes of Omicron-infected patients with pancreatic & biliary cancer (the so-called “King of Cancer”) in order to provide potential evidence for the most appropriate strategy to counter Omicron transmission in Shanghai.Methods: Omicron infected patients with advanced pancreatic & biliary cancer were enrolled from April 15 to May 31, 2022. Four groups were set in this study: Group 1, Omicron-infected cancer patients (N=4); Group 2, non-infected cancer patients (N=4); Group 3, infected non-cancer-afflicted subjects (N=4); Group 4, non-infected non-cancer-afflicted subjects (N=4). On Day 0, 7 and 14 after infection, the blood samples were dynamically collected from all subjects. The primary endpoints were disease severity and survival. Results:By the endpoints in this observational study, Patients No. 2, 3 and 4 died separately at Day 11, 25 and 13 after viral infection, all of whom were patients with advanced cancer, with the death rate up to 75%. Group 1 presented an overall T cell exhaustion status compared with other groups with obviously lower T cell populations and higher B cell% and CD4+T/CD8+T ratio (P<0.05). Time-course cytokine monitoring results showed that IL-1β was significantly decreased in Group 1 (P<0.05) and generally kept at a low level without obvious fluctuation. IL-6 was markedly increased in infected cancer patients (P<0.01), but remained a low level and had no apparent change during the whole infection process in non-cancer-afflicted subjects. Furthermore, several inflammatory parameter indexes indicated a tight association of Omicron infection with disease course and prognosis of Omicron-infected cancer patients.Conclusions:For patients with advanced pancreatic & biliary cancer, the strict & comprehensive control strategy for COVID-19 epidemic in Shanghai provided a guarantee of low infection and death rate. Conclusively, this policy shall be persisted upon the consideration of the welfare of vulnerable populations.
Administration of Anti-inflammatory M2 Macrophages Suppresses Progression of Angiotensin Ⅱ-Induced Aortic Aneurysm in Mice
Authors: Ashida Shin’ichi , Yamawaki-Ogata Aika , Tokoro Masayoshi , Mutsuga Masato , Usui Akihiko , Narita Yuji 
Published: September 2022

Abstract
Aortic aneurysm (AA) is a vascular disorder characterized pathologically by inflammatory cell invasion and extracellular matrix (ECM) degradation. It is known that regulation of the balance between pro-inflammatory M1 macrophages (M1Ms) and anti-inflammatory M2 macrophages (M2Ms) play a pivotal role in AA stabilization. We investigated the effects of M2M administration in an apolipoprotein E-deficient (apoE-/-) mouse model in which AA was induced by angiotensin Ⅱ (ATⅡ) infusion. Mice received intraperitoneal administration of 1 million M2Ms 4 weeks after ATII infusion. The M2Ms group exhibited reduced AA expansion, decreased expression levels of interleukin (IL)-1β, IL-6, tumor necrosis factor-α, and monocyte chemoattractant protein−1 (MCP)-1, decreased matrix metalloproteinase (MMP)-9 enzymatic activity, and a lower M1M/M2M ratio. Moreover, the M2M group exhibited upregulation of anti-inflammatory factors, including IL-4 and IL-10. PKH26-labeled M2Ms accounted for 6.5% of cells in the aneurysmal site and co-expressed CD206. Taken together, intraperitoneal administration of M2Ms inhibited AA expansion by reducing the inflammatory reaction via M2M dominance. This study shows that M2M administration might be useful for the treatment of AA.
Evaluating a Sediments Pollution Using Contamination Indices and Risk Assessment in Mineralized Zones, Eastern Iran
Authors: Saadat Saeed 
Published: September 2022

Abstract

In this study, the results of nearly 1400 stream sediment sample analysis were processed to better understand environmental pollution caused by mining activities. Stream sediment samples were analyzed for As, Sb, Fe, Cr, Ni, Co, Cu, Zn, Pb, Sr, and Hg. The mean concentration of these elements followed the decreasing order of Fe > Sr > Zn > Cr > Cu > Ni > Co > Pb > As > Sb > Hg. Based on the assessment of pollution, extremely severe enrichment factor Co (EF > 25) and high enrichment of Sb, Hg, Cr, and Sr (EF > 10) were detected. Specifically, Cr and Ni in southern stream sediments showed significantly elevated concentrations compared to the others. The range of the contamination factor varied from CF < 1 to CF > 6 for most elements. Geo-accumulation index showed high contamination levels by Cr and Co and high to severe contamination by Sb. The risk indices were low for all elements except for As and Co in the eastern part of the study area. Principal component analysis, Pearson’s correlation coefficient and cluster analysis were used to demonstrate similarities and differences between the elements. Pollution indices showed that contaminations in some samples are the consequence of gold mineralization. The high correlation of Cu, Zn, and Sb is due to the sulfide mineralization of gold. The high correlation of Cr and Ni corresponds to ultramafic rocks and ophiolitic series. Based on the results presented here, while most contamination in the target area is rooted in geochemical and mineralization processes, mining activity also contributes to soil pollution for certain elements such as Cu and Zn.
Multi-attribute group decision-making problem based on q-Rung Orthopair fuzzy set under confidence environment
Authors: Muhammad Jan , Rahman K. , Hussain Ibrar 
Published: September 2022

Abstract
Emergency decision-making for communities and countries is an important and critical tool. It improves the effectiveness and reliability to response emergencies which minimizes the rate of casualties, environmental damages and economic losses. In the event of emergency decision-making, the main issue is extreme imprecision, ambiguity, and fuzziness. This paper is devoted to the study of q-rung orthopair fuzzy aggregation operators under the confidence levels and their applications to multiple-attribute group decision making (MAGDM) problems. The concept of q-rung orthopair fuzzy set (q-ROFS) is used as tool to describe undetermined information and is superior to the intuitionistic set (IFS) and Pythagorean fuzzy set (PFS). The distinguishing feature of the q-ROFS is that the sum of the q-th power of the membership degree and the q-th power of non-membership degree is bounded by 1. As a result, the range of uncertain information that it may describe is expanded. In this work, we focus on MAGDM problems under the fuzzy environment. First, based on aggregation operators some drawbacks of the already existing MAGDM methods are analyzed. Moreover, we present some modified operational laws and some of their properties to overcome these drawbacks. Next, related to q-ROFS fuzzy-weighted averaging (q-ICROFWA) and fuzzy-weighted power averaging (q-ICROFWPA) aggregation operator under confidence levels along with their properties are presented. By using these operators’ q-ICROFWA and q-ICROFWPA an advanced method is proposed to deal with MAGDM problems in fuzzy environment. At last, the validity and feasibility of this method is illustrated with some numerical examples.
Prediction of Survival Time after Terminal Extubation: the Balance between Critical Care Unit Utilization and Hospice Medicine in the COVID-19 Pandemic Era
Authors: Zheng Yun-Cong , Huang Yen-Min , Chen Pin-Yuan , Chiu Hsiao-Yean , Wu Huang-Pin , Chu Chien-Ming , Chen Wei-Siang , Kao Yu-Cheng , Lai Ching-Fang , Shih Ning-Yi , Lai Chien-Hong 
Published: September 2022

Abstract
Background
We established 1-hour and 1-day survival models after terminal extubation to optimize ventilator use and achieve a balance between critical care for COVID-19 and hospice medicine.
Methods
Data were obtained from patients with end-of-life status at terminal extubation from 2015 to 2020. The associations between APACHE II scores and parameters with survival time were analyzed. Parameters with a p-value ≤ 0.2 in univariate analysis were included in multivariate models. Cox proportional hazards regression analysis was used for the multivariate analysis of survival time at 1 hour and 1 day.
Results
Of the 140 enrolled patients, 76 (54.3%) died within 1 hour and 35 (25%) survived beyond 24 hours. No spontaneous breathing trial (SBT) within the past 24 hours, minute ventilation (MV) ≥ 12 L/min, and APACHE II score ≥ 25 were associated with shorter survival in the 1-hour regression model. Lower MV, SpO2 ≥ 96% and SBT were related to longer survival in the 1-day model. Hospice medications did not influence survival time.
Conclusion
An APACHE II score of ≥ 25 at 1 hour and SpO2 ≥ 96% at 1 day were strong predictors of disposition of patients to intensivists. These factors can help to objectively tailor pathways for post-extubation transition and rapidly allocate intensive care unit resources without sacrificing the quality of palliative care in the era of COVID-19.
Trial registration
They study was retrospectively registered. IRB No.: 202101929B0
Biomechanical analysis of unilateral biportal endoscopic lumbar interbody fusion: different heights of cage and osteoporosis
Authors: Li Jia-Rui , Yan Yang , WU Xiao-Gang , He Li-Ming , Feng Hao-Yu 
Published: September 2022

AbstractBackground By establishing a finite element model of unilateral biportal endoscopic lumbar interbody fusion (UBE-LIF), the biomechanical characteristics of UBE-LIF technology were analysed and evaluated. The risk of cage subsidence was also evaluated. Methods The finite element model of the L4-L5 vertebral body was constructed based on CT data from healthy adult male volunteers. According to the UBE-LIF surgical method, the fusio model with different cage heights of 8 mm, 10 mm and 12 mm was successively constructed. The flexion, extension, right lateral bend, left lateral bend, right axial rotation, and left axial rotation motions were simulated in 6 models with different bone conditions on the upper surface of L4 with 500 N followed load and 10 Nm torsional torque. The range of motion(ROM), Pedicle screw-rod system stress and endplate stress of each model under different working conditions were observed and analysed. Results The ROM of the 12mm model was the lowest, simultaneously, the maximum stress of the pedicle screw-rod system of the 12mm model was the lowest. However, the 12mm model has the largest endplate stress. The maximum stress of the L4 inferior endplate was greater than that of the L5 superior endplate in the UBE-LIF surgical models (24.9%). Compared with the normal model, the ROM of the osteoporosis model increased by 4.7%, the maximum stress of the pedicle screw-rod system increased by 14%, and the maximum stress of the endplate increased by 7.5%. Conclusions The results show that the appropriate height of the cage should be selected during the operation to ensure the stability of the segment and avoid the risk of the subsidence caused by the high cage. This is especially important for patients with osteoporosis.
Deep Learning Meets Knowledge Graphs: A Comprehensive Survey
Authors: Yu Shuo , Xu Chengchuan , Bai Xiaomei , Kuncheerathodi Ranjith , Firmin Selena , Xia Feng 
Published: September 2022

Abstract
Knowledge Graphs (KGs) which can encode structural relations connecting two objects with one or multiple related attributes have become an increasingly popular research direction. Given the superiority of deep learning in representing complex data in continuous space, it is handy to represent KGs data, thus promoting KGs construction, representation, and application. This survey article provides a comprehensive overview of deep learning technologies and KGs by exploring research topics from diverse phases of the KGs lifecycle, such as construction, representation, and knowledge-aware application. We propose new taxonomies on these research topics for motivating cross-understanding between deep learning and KGs. Based on the above three phases, we classify the different tasks of KGs and task-related methods. Afterwards, we explain the principles of combing deep learning in various KGs steps like KGs embedding. We further discuss the contribution and advantages of deep learning applied to the different application scenarios. Finally, we summarize some critical challenges and open issues deep learning approaches face in KGs.