bluuebunny/crossref_metadata_2025_split huggingface dataset:
Kinds of Attacks: European Championship 2020 / 2021
Authors: Zivanovic Vladimir 
Published: November 2022

Abstract
Background: Scoring of goals determines whether a team wins or loses a game.
Aims The aims to analyze the characteristics of the goals scored at the tournament, and derive the latest tactical-technical innovations.
Methods: In a sample of 51 games and the participation of 24 national teams, this study was based on the personal observation of the researcher i.e., the analysis was based on the live monitoring of games domestic cable channels, database of UEFA Euro 2020 official website, and on UEFA's official YouTube channel. Two-way between-groups ANOVA were used for the data.
Results: A total of 142 goals were scored. The fixed factor showed the highest representation of goals was in the period of 45-60 minutes (30), while the fixed factors included attack types and the number of goals scored: (80) continuous attacks (Mean = 53.7 minutes), (13) quick attacks (59.5 minutes), (14) counter-attacks (55.7 minutes), and (35) set plays (51.8 minutes). The highest number way of goals (37) was yielded inside of the foot (Mean = 53.5 minutes) as compared to (27) header (54.4 minutes), and (21) middle ridge of the foot (49.5 minutes). The most of the goals (90) were achieved through the penalty area (54.1 minutes).
Conclusion: The results reveal that coaches should the most focus on quick attacks, and counter-attacks which consequently leads to goal scoring. Also attention must be given to the more outside kicks of the foot, and ridge outside of the foot.
Correlative cryo-soft X-ray tomography reveals defective lysosomes in amyloid-β oligomer treated hippocampal neurons
Authors: Marshall Karen E. , Mengham Kurtis , Spink Matthew C. , Vania Lyra , Pollard Hannah Jane , Darrow Michele C. , Duke Elizabeth , Harkiolaki Maria , Serpell Louise C. 
Published: November 2022

AbstractProtein misfolding is common to neurodegenerative diseases (NDs) including Alzheimer’s disease (AD), which is characterized by self-assembly and accumulation of Amyloid-beta in the brain. Furthermore, impaired proteostatic mechanisms have been implicated in NDs. Lysosomes are a critical component of the proteostasis network required to degrade and recycle material from outside and within the cell. Using a model of AD neurodegeneration where toxic amyloid beta oligomers are applied exogenously to primary hippocampal neurons, we have previously established that oligomers are endocytosed and trafficked to lysosomes where they accumulate and prevent further endocytosis. Here, we use pioneering correlative cryo-structured illumination microscopy and cryo-soft X-ray tomography imaging techniques to reconstruct 3D cellular architecture in the native state. We demonstrate that lysosomes in oligomer treated neurons are less X-ray dense suggesting they contain less carbon-rich material than untreated cells. Furthermore, we observe an increase in carbon dense lipid vesicles in oligomer treated cells. This work provides unprecedented and critical visual information on the changes to neuronal architecture inflicted by amyloid beta oligomers using advanced methods in structural cell biology.
Chaotic fluctuations in heart rate variability associated with interaction of large-scale brain networks: experiments and hypotheses
Authors: Mao Tomoyuki , Okutomi Hidetoshi , Umeno Ken 
Published: November 2022

Abstract
Heart rate variability (HRV) caused by the involvement of the autonomic nervous system is analysed for evaluation of autonomic nervous activity using methods standardized by time-domain and frequency-domain analysis. Conventional HRV analysis captures only a limited aspect of HRV, and in recent years new attention has been focused on analysis from the perspective of chaos/complexity. To clarify the characteristics of these analyses, we comprehensively compared the time-domain, frequency- domain, and chaos/complexity indices in RRIs measured under physical and mental load. In contrast to conventional indices, the indices of chaos/complexity increased significantly in mental load. From this result, we proposed the model, which is consistent with previous studies, explains that chaotic/complexity of HRV is an important quantity that deeply related to brain activity.
Polystyrene/Silicone Rubber Blends with Improved Dielectric Properties
Authors: Abd-Elhady Amr M. , Sleet Amira Y. , Izzularab Mohamed A. , Ibrahim Mohamed E. 
Published: November 2022

Abstract
In this study, the dielectric properties of unfilled as well as nanofilled polystyrene-silicone rubber blends are evaluated. Accordingly, the preparation of polystyrene-silicone rubber blends is carried out considering three different concentrations of polystyrene (3, 7 and 10%wt). Also, the preparation of polystyrene-silicone rubber nanocomposites is carried out considering different two types of nanoparticles. These nanoparticle types are TiO2 and SiO2 with the same average particle size of 20 nm. Different nanoparticle concentration levels of 1.5, 2 and 3%wt are studied. The effect of thermal aging on the dielectric properties of unfilled and nanofilled polystyrene-silicone rubber samples is evaluated. The samples are subjected to thermal aging for two months at a temperature of 130 oC. The average breakdown strength as well as the breakdown voltages at 10% and 50% probabilities is evaluated before and after the thermal aging process. The dielectric response includes relative permittivity and dissipation factor are measured and evaluated under thermal aging. The obtained results show that adding small amount of polystyrene to silicone rubber improves its dielectric properties. Finally, adding small amount of TiO2 and SiO2 nanoparticles to polystyrene-silicone rubber blends gives more improvements in its dielectric properties.
Formability Characterization of Stitched Preform Toward Applying for Composite Structures
Authors: Saboktakin A. 
Published: November 2022

Abstract
Characterization of the stitched textile preform is required for the prediction of textile preforms forming in the fabrication of composite structures for aerospace applications. The behavior of the preform in compression during resin injection into the preform is one of the critical issues in achieving a high-quality composite for space structures. This paper concentrates on the experimental and finite element analysis of compaction for textile preform. The investigation of mechanical properties of preforms during compression tests revealed that formability parameters of a preform can be altered by the stitching process. The load-deformation response, which is depicted in detail, had the greatest influence on the preform deformation. Compression of the stitched preform resulted in less tow undulation in the plane direction and more stitching thread undulation in the thickness direction, while the stitching thread stimulated the preform to endure more pressure. The results provided more detailed insights into the effects of compaction on other properties such as permeability and composite mechanical behavior, which is based on the internal geometry of 3D textile preforms.
Percutaneous ventriculoatrial shunting as a salvage method in the pediatric hydrocephalus patients with peritoneal problems
Authors: Oktay Kadir , Sozutok Sinan , Pehlivan Umur Anil , Yildirim Dogu Cihan , Akbaba Mevlana , Ozsoy Kerem Mazhar , Cetinalp Nuri Eralp 
Published: November 2022

Abstract
Purpose Ventriculoperitoneal shunt is preferred and widely applied method in patients who require shunt procedures. However in cases with abdominal complications, another body compartment should be used for the distal catheters and ventriculoatrial shunt is the preferred second-line treatment method. The purpose of this study is to evaluate the efficacy of percutaneous ventriculoatrial shunting as a salvage method in the pediatric patients with abdominal complications.
Methods Data obtained from 9 patients with ventriculoperitoneal shunt dysfunctions due to abdominal complications, who underwent ventriculoatrial shunting as a salvage treatment at a single institution between January 2019 and September 2021 were retrospectively reviewed. All of the operations were performed under the guidance of intraoperative fluoroscopy and ultrasound.
Results The mean age of the patients was 8.1 ± 1.2 years (2-15 years). Six patients (67%) were male and 3 patients (33%) were female. The mean number of the patients’ ventriculoperitoneal shunt revisions until atrial catheter placement was 7.5 times. Reasons for intraperitoneal catheter failure were; peritoneal adhesions in 4 patients (44.5%), pseudocyst formation in 3 patients (33.3%), and peritonitis in 2 patients (22.2%). Seven patients of the study cohort had no problem after ventriculoatrial shunt placement. Only 1 patient had shunt dysfunction related to ventricular catheter, and ventricular catheter and shunt valve revision was performed 26 months after ventriculoatrial shunt placement. Atrial catheter of the patient was intact. One patient died because of the progression of her primary disease (medulloblastoma in the 4th ventricle), not related to her ventriculoatrial shunt.
Conclusion Percutaneous ventriculoatrial shunting under the guidance of intraoperative fluoroscopy and ultrasound provides a safe, effective and easy alternative in the patients with peritoneal complications and multiple operations history.
Phase diagrams of graphene-metal systems
Authors: Chang Keke , Chen Leilei , Zhang Zhenyu , Zhou Ruonan , Xu Kai , Lou Ming , Du Yujie , Wang Liping 
Published: November 2022

Abstract
Graphene-metal composites have attracted tremendous interests due to their promising applications in electronics, optics, energy-storage devices and nano-electromechanical systems. However, seldomly have the phase diagrams of graphene-metal systems been depicted since graphene was first extracted from graphite in 2004. Here, we utilized ab initiocalculations and the CALPHAD (Calculation of Phase Diagrams) approach to obtain the graphene-metal phase diagrams. A total of thirty-four binary systems have been calculated in the present work, in which the existence or shapes of intermediate phases show significant differences. Accordingly, the phase diagrams of graphene-transition metal systems have been divided into three major types: no compound formed (Fe, Co, Ni, Cu, Zn, Ru, Rh, Pd, Ag, Re, Pt, and Au), linear compounds formed (Cr, Mn, Mo, and W), or secondary solid solutions formed (Ti, V, Y, Zr, Nb, Hf, and Ta). Thus, we propose a general formation rule for intermediate phase by analyzing the calculated the phase diagrams and formation enthalpy of carbides, indicating that elements with smaller ordinal numbers in the same period are more likely to form secondary solutions with graphene.
Dietary branched chain amino acids relationship with cancer and mortality: A systematic review and meta-analysis
Authors: Tabesh Mahdieh , Teymoori Farshad , Ahmadirad Hamid , Mirmiran Parvin , Rahideh Seyedeh Tayebeh 
Published: November 2022

Abstract
Background
Dietary branched chain amino acids (BCAAs) are proposed as a potential related factor in various diseases, including cancer. We aimed to investigate the relationship between dietary intake of BCAAs and their components with cancer and all-cause mortality in a meta-analysis study of observational studies.
Methods
To identify relevant studies, a comprehensive search was conducted between electronic databases (PubMed, Scopus, and Web of Science) until September 2022. Odds ratios (OR), hazard ratios (HR), and relative risks (RR) with 95% confidence interval (CI) were extracted from eligible studies, and a meta-analysis was performed to calculate the combined effect size.
Results
Eight articles (3 case-control and 5 cohorts) were included in this meta-analysis. 6 studies reported effect sizes for cancer risk and 3 for cancer or all-cause mortality. Overall, we did not observe any statistically significant association between dietary intake of BCAAs and their components with cancer (RRBCAA: 0.87, 95%CI: 0.68–1.10, RRLeucine: 0.74, 95%CI: 0.52–1.04, RRIsoleucine: 0.98, 95%CI: 0.93–1.04, RRValine: 0.76, 95%CI: 0.55–1.05). Also, we observed any significant relationship between dietary BCAAs and their components with both cancer mortality (RRBCAA: 0.95, 95%CI: 0.68–1.33, RRLeucine: 0.95, 95%CI: 0.79–1.15, RRIsoleucine: 0.95, 95%CI: 0.79–1.14, RRValine: 1.01, 95%CI: 0.84–1.21) and all-cause mortality (RRBCAA: 0.98, 95%CI: 0.73–1.32, RRLeucine: 1.02, 95%CI: 0.81–1.29, RRIsoleucine: 0.96, 95%CI: 0.73–1.27, RRValine: 1.02, 95% CI: 0.79–1.32).
Conclusions
The findings of the present study showed no significant association between dietary intake of BCAA and its components with cancer, cancer mortality, and all-cause mortality.
Identification of lncRNA, miRNA and mRNA expression profiles and ceRNA Networks in small cell lung cancer
Authors: Zhang Chenxi , Zhou Ying , Zhang Bin , Sheng Zhihong , Sun Nan , Yuan Baiyin , Wu Xiaoyuan 
Published: November 2022

Abstract
Background
Small cell lung cancer (SCLC) is a highly lethal malignant tumor. It accounts for approximately 15% of newly diagnosed lung cancers. Long non-coding RNAs (lncRNAs) can regulate gene expression and contribute to tumorigenesis through interactions with microRNAs (miRNAs). However, there are only a few studies reporting the expression profiles of lncRNAs, miRNAs, and mRNAs in SCLC. Also, the role of differentially expressed lncRNAs, miRNAs, and mRNAs in relation to competitive endogenous RNAs (ceRNA) network in SCLC remain unclear.
Results
In the present study, we first performed next generation sequencing (NGS) with six pairs of SCLC tumors and adjacent non-cancerous tissues obtained from SCLC patients. Overall, 29 lncRNAs, 48 miRNAs, and 510 mRNAs were found to be differentially expressed in SCLC samples (|log2[fold change] | > 1; P < 0.05). Bioinformatics analysis was performed to predict and construct a lncRNA-miRNA-mRNA ceRNA network, which included 9 lncRNAs, 11 miRNAs, and 392 mRNAs. Four up-regulated lncRNAs and related mRNAs in the ceRNA regulatory pathways were selected and validated by quantitative PCR. In addition, we examined the role of the most upregulated lncRNA, TCONS_00020615, in SCLC cells. We found that TCONS_00020615 may regulate SCLC tumorigenesis through the TCONS_00020615–hsa-miR-26b-5p–TPD52 pathway.
Conclusions
Taken together, our findings may help identify some potential biomarkers and therapy targets for SCLC. Also, our study may provide new evidence for the underlying regulatory mechanism in SCLC.
Intelligent Spectrum Sensing Algorithm for Cognitive Internet of Vehicles Based on KPCA and Improved CNN
Authors: Duan Yanyan , Xu Lingwei , Gulliver T. Aaron 
Published: November 2022

Abstract
With the acceleration of economic globalization and integration, the global trade is becoming more frequent, which promotes the vigorous development of transportation industry. In recent years, the Internet of Vehicle (IoV) has developed rapidly in the transportation industry, and the number of IoV users has exploded. The requirements for IoV communication services are very high, resulting in the lack of spectrum resources. Rather than utilizing traditional spectrum resource allocation methods, cognitive radio technology makes full use of idle frequency bands, improving the IoV communication spectrum’s utilization rate. Spectrum sensing is the primary link to realize a cognitive radio. However, IoV mobile communication environment is characterized by complexity, dynamism, and substantial noise interference, thus imposing significant challenges to spectrum sensing. Thus, this paper proposes an intelligent spectrum sensing algorithm based on kernel principal component analysis (KPCA) and an improved convolutional neural network (CNN). Since the wireless signal cannot distinguish the signal and noise linearly, KPCA maps the sampled signal to a high-dimensional space, creates a covariance matrix, and obtains eigenvector data of the signal and noise through matrix decomposition. A spectrum sensing classifier based on improved CNN is proposed, and the dynamic threshold is obtained via offline training. Compared with the traditional algorithm, the designed deep CNN improves the model’s training speed, enables parameter sharing, and reduces the number of model parameters, effectively reducing the computational complexity. Additionally, due to the extracted signal feature’s small dimension, the algorithm reduces the number of pooling layers and avoids the effective features’ loss, thus increasing the detection probability. Finally, the proposed algorithm achieves a 10% higher sensing accuracy than support vector machine (SVM), Elman, and LeNet5 algorithms, signaling its robustness.
Design of Experiments optimisation of Scottish wood biochars and process parameter significance for target applications
Authors: Jamal Mohammad Umair , Fletcher Ashleigh J. 
Published: November 2022

Abstract
Biochar production from sustainable materials through pyrolysis remains a key area of research, where additional value can be gained by understanding the influence of initial operating parameters to create optimised carbon products with different characteristics. In this study, native Scottish wood samples were used to produce biochars. Softwood and hardwood samples were investigated to determine feedstock importance, with a focus on the influence of process conditions on the final characteristics of biochars. Screening experiments helped to determine that the softwood feedstock resulted in enhanced product characteristics and identified the optimal pyrolysis temperature. A design of experiments approach was used to scope process variables for softwood feedstock: contact time with activating agent, gas flowrate, and influence of ramp rate during pyrolysis were studied. The response variables were product yield and biochar surface area. As expected, product yield decreased with increasing pyrolysis temperature, and increased ramp rates decreased biochar yield. Pore structure was a combination of micro- and mesopores, and high gas flowrate and pyrolysis temperature produced biochars with the greatest surface areas, while morphological analysis suggests a layered carbon structure. Contact angle analysis suggested hydrophilicity, suggesting compatibility with aqueous media, while a neutral surface charge demonstrates easy application in drinking water treatment systems. The results show the potential of parameter optimisation and insight into the interplay of these variables in biochar development, with characteristics that can be tailored to a range of applications.
Manufacturing time estimator based on kinematic and thermal considerations: application to WAAM process
Authors: VIOLA Ricardo , Poulhaon Fabien , BALANDRAUD Xavier , MICHAUD Pierre , DUC Emmanuel 
Published: November 2022

Abstract
Metal additive manufacturing has been pointed as the answer to reduce manufacturing time and cost for aeronautic parts with a high buy to fly ratio. The manufacturability of a part by additive manufacturing depends on important indicators that would allow it to be cost effective. One key indicator is the manufacturing time, which is highly dependent on an important factor: the interlayer time. The interlayer time is the time needed by the material to cool down to a chosen temperature, called interlayer temperature, that allows a new deposition of molten material. The interlayer temperature is defined by using time-temperature-transformation (TTT) diagrams, the final goal being to avoid the appearance of detrimental phases that could lead to a decrease in the material’s mechanical properties. The interlayer temperature is intimately correlated with the cooling curve. The difficulty of predicting the cooling time is due to the influence of the part geometry, the deposition strategy, and the dimensions of the substrate. Their correlation needs to be understood in order to minimize the deposition time (Dt) while ensuring an acceptable material quality. This paper presents a methodology to estimate manufacturing time that combines kinematic and thermal criteria for Wire and Arc Additive Manufacturing (WAAM) process. Application is performed for stainless steel 316L. In this first step toward an advanced manufacturing time estimator, only the first layer attached to the building plate is analyzed from a thermal point of view. The thermal analysis is based on an analytical model enabling the evaluation of the preheating temperature (PhT) in a first approach and providing an adequate framework for the evaluation of cooling curves in a second time. The model includes an accurate description of robot kinematics through the consideration of a realistic travel speed variation along the toolpath. It is used to evaluate an indicator that quantifies the thermal influence of a given deposition strategy. The results show the dependency relationship between manufacturing strategy and inherent thermal gradient and its implications on part production time.
A new nursing pattern based on ERAS concept for patients with lumbar degenerative diseases treated with OLIF surgery: A retrospective study
Authors: Lu Hai-rong , Yang Ao , Li Xu , He Meng-zi , Sun Jia-yuan 
Published: November 2022

Abstract
Objective
The purpose of this study was to introduce enhanced recovery after surgery (ERAS) concept into patients with lumbar degenerative diseases who were treated with oblique lumbar interbody fusion (OLIF), and to assess whether it could increase clinical efficacy, reduce perioperative complications, shorten length of hospital stay (LHS), decrease readmission rate, and improve patient satisfaction.
Methods
The study included patients with lumbar degenerative diseases (LDDs) who underwent OLIF between July 2017 and October 2018 (non-ERAS group), and between November 2018 and July 2020 (ERAS group) at the Spine Surgery Department of the Third Hospital of Hebei Medical University. The two groups were compared according to the demographic and clinical characteristics.
Results
There was no significant difference in descriptive characteristics and concomitant diseases between the two groups. The preoperative Oswestry disability index (ODI) score (P = 0.191), lumbar visual analogue scale (VAS) score (P = 0.470), and leg VAS score (P = 0.657) did not significantly different. Most of the ERAS measures were also well implemented after surgery, except for early delivery (74.2%), early catheter removal (63.9%), and multimodal analgesia (80.6%). The LHS in the ERAS group was significantly shorter than that in the non-ERAS group (P = 0.004). Besides, Hamilton Anxiety Rating Scale (HAMA) score at 3 days after surgery showed a significant difference between the two groups (P = 0.019). The patient satisfaction in ERAS group was significantly higher than that in the non-ERAS group (P = 0.001).
Conclusion
The new nursing pattern combined with ERAS in patients with LDDs who underwent OLIF did not improve the short-term prognosis of surgery, while it could effectively reduce postoperative complications, shorten the LHS, and improve patient satisfaction, and did not lead to additional adverse events.