bluuebunny/crossref_metadata_2025 huggingface dataset:
Does A Flavoured Extra Virgin Olive Oil Have Higher Antioxidant Properties?
Authors: Díaz-Montaña Enrique Jacobo , Barbero-López María , Aparicio-Ruiz Ramón , Morales María T.
Published: March 2022

Extra virgin olive oil is highly appreciated worldwide for its healthy and organoleptic properties. From the variety of compounds present in the oil, phenols stand out, not only for producing the bitter-pungent perception but also for their antioxidant properties, which contribute to human health protection. The addition of plants can change the phenolic profile due to a migration of plant antioxidants to the oil. The aim of this work was to study the evolution of the oxidative process of extra virgin olive oil under mild storage conditions for 8 months, monitoring the individual content of 15 phenols by High Performance Liquid Chromatography (HPLC) and the changes of the phenolic profile of the non-flavoured oil compared with the same flavoured (rosemary and basil) oil. The oxidative alteration was more marked in virgin than in flavoured oils, where it happened slowly. Throughout storage, the behaviour of the phenols varied, resulting in a decrease in their concentration, except in the case of tyrosol and hydroxytyrosol. The addition of plants had an antioxidant effect, slowing down the oxidative process, which prolongs the shelf life of the flavoured oil compared to the unflavoured oil. Furthermore, multivariate statistical analyses allowed the classification and differentiation of the different samples.
Analysis of Expansion Characteristics According to Deterioration Conditions for Superabsorbent Polymer Content of a Polyurethane Waterproof Material with Water Expansion Properties
Authors: Go Gun-Woong , Kim Dong-Bum , Park Wan-Goo , Choi Su-Young , Oh Sang-Keun
Published: March 2022

Polyurethanes with water expansion properties are manufactured by incorporating polyurethane resins and superabsorbent polymers. This study aimed to present an optimal mixing ratio of a superabsorbent polymer that can express the effective waterproofing performance of a polyurethane material with water expansion properties. The evaluation results confirmed that the waterproofing performance was exerted at a superabsorbent polymer mixing ratio of more than 10% and an expansion ratio of 150% or more, which were then set as the minimum standard value for ensuring waterproofing performance. In addition, chemical erosion (by hydrochloric acid, sulfuric acid, nitric acid, alkali, and sodium chloride), freeze-thaw, and wet-dry cycles were set as deterioration conditions to determine the optimal mixing ratio for the superabsorbent polymer under conditions of use, and the maximum expansion ratio was evaluated after pretreatment under the deterioration conditions. It was found that, based on the minimum standard value for the waterproofing performance set above, the superabsorbent polymer mixing ratio that can ensure an expansion ratio of 150% or more under all deterioration conditions was 14%.
Automatic Understanding and Mapping of Regions in Cities Using Google Street View Images
Authors: Rangel José Carlos , Cruz Edmanuel , Cazorla Miguel
Published: March 2022

The use of semantic representations to achieve place understanding has been widely studied using indoor information. This kind of data can then be used for navigation, localization, and place identification using mobile devices. Nevertheless, applying this approach to outdoor data involves certain non-trivial procedures, such as gathering the information. This problem can be solved by using map APIs which allow images to be taken from the dataset captured to add to the map of a city. In this paper, we seek to leverage such APIs that collect images of city streets to generate a semantic representation of the city, built using a clustering algorithm and semantic descriptors. The main contribution of this work is to provide a new approach to generate a map with semantic information for each area of the city. The proposed method can automatically assign a semantic label for the cluster on the map. This method can be useful in smart cities and autonomous driving approaches due to the categorization of the zones in a city. The results show the robustness of the proposed pipeline and the advantages of using Google Street View images, semantic descriptors, and machine learning algorithms to generate semantic maps of outdoor places. These maps properly encode the zones existing in the selected city and are able to provide new zones between current ones.
Climatic Change Characteristics towards the “Warming–Wetting” Trend in the Pan-Central-Asia Arid Region
Authors: Yan Xinyang , Zhang Qiang , Ren Xueyuan , Wang Xiaoyong , Yan Xiaomin , Li Xiaoqin , Wang Lan , Bao Lili
Published: March 2022

In recent years, the warming–wetting trend in the arid region of Northwest China has attracted widespread attention. To reveal whether this phenomenon exists in the whole Pan-Central-Asia arid region, this paper adopts the latest monthly gridded dataset of the Climate Research Unit Time Series version 4.05 (CRU TS v4.05) and the multi-model ensemble data of the Coupled Model Intercomparison Project Phase 6 (CIMP6) for discussion from multiple perspectives. The results show that the Pan-Central-Asia arid region has been getting warmer and wetter in the last 80 years. Since the turn of the 21st century, there has been an apparent slowdown in the regional wetting trend despite the acceleration of precipitation increase, mainly caused by the growth in evapotranspiration potential. The interannual scale dominates the precipitation change, including significant quasi-three-year and quasi-six-year cycles. The interannual variability in precipitation is mainly affected by the change in the phases of Pacific decadal oscillation (PDO), while long-term variation dominates the temperature change, which is significantly related to the variations in the Arctic oscillation (AO). Thus, future research and predictions of regional precipitation should focus on the PDO variations, followed by the Southern Oscillation Index (SOI), whereas for research on, and predictions of, temperature, the effect of AO variations should be emphasized. Except for a few regions in Central-Eastern Mongolia and Central Kazakhstan, precipitation levels in most parts of the Pan-Central-Asia region have been increasing. The regional temperature exhibits a distribution pattern which decreases from northwest to southeast. The increase in precipitation in the Pan-Central-Asia arid region alleviates the drought in most regions, including most of Northwest China. However, the arid and semi-arid climate patterns in this region have not changed. The warming–wetting trend will significantly accelerate in medium-emissions scenarios in the next 80 years. Although the increase in precipitation may be a positive aspect of this trend, the rise in potential evapotranspiration caused by sharp warming may cause greater challenges to the regional climate and ecological environment.
A Numerical Simulation of the Development Process of a Mesoscale Convection Complex Causing Severe Rainstorm in the Yangtze River Delta Region behind a Northward Moving Typhoon
Authors: Liu Xiaobo , Chu Hai , Sun Jun , Zhao Wei , Meng Qingtao
Published: March 2022

In recent years, due to the influence of global warming, extreme weather events occur frequently, such as the continuous heavy precipitation, regional high temperature, super typhoon, etc. Tropical cyclones make frequent landfall, heavy rains and flood disasters caused by landfall typhoons have a huge impact, and typhoon rainstorms are often closely related to mesoscale and small-scale system activities. The application 2020 NCEP (National Centers for Environmental Prediction) final operational global analysis data and WRF (Weather Research and Forecasting model, version 3.9) mesoscale numerical prediction model successfully simulates the evolution characteristics of the mesoscale convective complex (MCC) that caused an extreme rainstorm in the Yangtze River delta region behind a northwards typhoon in this article. The results show that a meso-β-scale vortex existed in the mid- to upper troposphere in the region where the MCC occurred; accompanied by the occurrence of the meso-β-scale vortex, the convective cloud clusters developed violently, and its shape is a typical vortex structure. The simulation-sensitive experiment shows that the development of the meso-β-scale cyclonic vortex is the main reason for the enhancement of MCC. The occurrence and development of the MCC is manifested as a vertical positive vorticity column and a strong vertical ascending motion region in the dynamic field. In the development and maturity stage of the MCC, the vorticity and vertical rising velocity in the MCC area are significantly greater than those in the weakened typhoon circulation, which shows significant mesoscale convective system characteristics. The diagnostic analysis of the vorticity equation shows that the positive vorticity advection caused by the meso-β-scale cyclonic vortex in the mid- to upper troposphere plays important roles in the development of the MCC. Enhanced low-level convergence enhances vertical ascending motion. The convective latent heat release also plays an important role on the development of the MCC, changes the atmospheric instability by heating, enhances the upward movement, and delivers positive vorticity to the upper level, making the convection develop higher, forming a positive feedback mechanism between low-level convergence and high-level divergence. The simulation-sensitive experiment also shows that the meso-β-scale cyclonic vortex formation in this process is related to convective latent heat release.
Atypical Positional Vertigo: Definition, Causes, and Mechanisms
Authors: Carmona Sergio , Zalazar Guillermo Javier , Fernández Martin , Grinstein Gabriela , Lemos João
Published: March 2022

Paroxysmal positional vertigo is a frequent cause for consultation. When approaching these patients, we try to differentiate central from peripheral causes, but sometimes we find manifestations that generate diagnostic doubts. In this review, we address atypical paroxysmal positional vertigo, reviewing the literature on the subject and giving a provisional definition of atypical positional vertigo as well as outlining its causes and pathophysiological mechanisms.
New Optimal Supply Air Temperature and Minimum Zone Air Flow Resetting Strategies for VAV Systems
Authors: Nassif Nabil , Tahmasebi Mostafa , Ridwana Iffat , Ebrahimi Pejman
Published: March 2022

Buildings account for a large portion of the total energy use in the US; therefore, improving the operation of typical variable-air-volume (VAV) systems in buildings can provide a tremendous economic opportunity. ASHRAE Guideline 36 recommends a resetting strategy for supply air temperature (SAT) for VAV systems based on outside air temperature. However, this strategy may not produce optimal performance, particularly when simultaneous cooling and heating occurs in zones. In addition, there is no strategy recommended in the Guideline to reset the zone minimum airflow set point in a single-duct VAV terminal unit with reheat, although this setpoint has a great impact on zone reheat requirements and ventilation efficiency. Thus, this paper introduces new strategies to reset both the SAT and zone minimum airflow rate set points to improve the efficiency of typical VAV systems. The strategies were tested under various conditions through experiments performed in fully instrumented VAV systems located in the HVAC lab at the University of Cincinnati. The experiments were conducted on a chilled-water VAV system that serves three controlled zones with hot-water reheat VAV boxes controlled by a typical commercial BACnet web-based building automation system BAS. The simulation studies were performed using the building energy simulation software EnergyPlus to evaluate the strategies at a larger scale in various locations. The simulation results show that the proposed resetting strategies can provide fan energy savings between 1.6% and 5.7% and heating load savings between 7.7% to 33.7%, depending on the location. The laboratory testing shows that the proposed strategies can provide stable control performance in actual systems as well as achieving the anticipated reheat and fan energy savings. The result offers significant improvements that can be implemented in the Guideline for single-duct VAV system operation and control.
Comparison of [18F]PSMA-1007 with [68Ga]Ga-PSMA-11 PET/CT in Restaging of Prostate Cancer Patients with PSA Relapse
Authors: Hoffmann Manuela A. , von Eyben Finn Edler , Fischer Nicolas , Rosar Florian , Müller-Hübenthal Jonas , Buchholz Hans-Georg , Wieler Helmut J. , Schreckenberger Mathias
Published: March 2022

This study aimed to compare the diagnostic performance of [18F]PSMA-1007 positron emission tomography/computed tomography (PET/CT) (18F-PSMA) and [68Ga]Ga-PSMA-11 PET/CT (68Ga-PSMA) by identifying prostate-specific antigen (PSA) threshold levels for optimal detecting recurrent prostate cancer (PC) and to compare both methods. Retrospectively, the study included 264 patients. The performances of 18F-PSMA and 68Ga-PSMA in relation to the pre-scan PSA were assessed by receiver operating characteristic (ROC) curve. 18F-PSMA showed PC-lesions in 87.5% (112/128 patients), while 68Ga-PSMA identified them in 88.9% (121/136). For 18F-PSMA biochemical recurrent (BCR) patients treated with radical prostatectomy (78/128, patient group: F-RP), a PSA of 1.08 ng/mL was found to be the optimal cut-off level for predicting positive and negative scans (AUC = 0.821; 95%, CI: 0.710–0.932), while for prostatectomized 68Ga-PSMA BCR-patients (89/136, patient group: Ga-RP), the cut-off was 1.84 ng/mL (AUC = 0.588; 95%, CI: 0.410–0.766). In patients with PSA < 1.08 ng/mL (F-RP) 76.3% and <1.84 ng/mL (Ga-RP) 78.6% scans were positive, whereas patients with PSA ≥ 1.08 ng/mL (F-RP) or 1.84 ng/mL (Ga-RP) had positive scan results in 100% and 91.5% (p < 0.001/p = 0.085). The identified PSA thresholds for PSMA-mappable PC lesions in BCR-patients (RP) showed a better separation for 18F-PSMA with regard to the distinguishing of positive and negative PC-lesions compared to 68Ga-PSMA. However, the two PSMA PET/CT tracers gave similar overall findings.
MitoQ Prevents Human Breast Cancer Recurrence and Lung Metastasis in Mice
Authors: Capeloa Tania , Krzystyniak Joanna , Rodriguez Amanda Canas , Payen Valéry L. , Zampieri Luca X. , Pranzini Erica , Derouane Françoise , Vazeille Thibaut , Bouzin Caroline , Duhoux François P. , Murphy Michael P. , Porporato Paolo E. , Sonveaux Pierre
Published: March 2022

In oncology, the occurrence of distant metastases often marks the transition from curative to palliative care. Such outcome is highly predictable for breast cancer patients, even if tumors are detected early, and there is no specific treatment to prevent metastasis. Previous observations indicated that cancer cell mitochondria are bioenergetic sensors of the tumor microenvironment that produce superoxide to promote evasion. Here, we tested whether mitochondria-targeted antioxidant MitoQ is capable to prevent metastasis in the MDA-MB-231 model of triple-negative human breast cancer in mice and in the MMTV-PyMT model of spontaneously metastatic mouse breast cancer. At clinically relevant doses, we report that MitoQ not only prevented metastatic take and dissemination, but also local recurrence after surgery. We further provide in vitro evidence that MitoQ does not interfere with conventional chemotherapies used to treat breast cancer patients. Since MitoQ already successfully passed Phase I safety clinical trials, our preclinical data collectively provide a strong incentive to test this drug for the prevention of cancer dissemination and relapse in clinical trials with breast cancer patients.
Behavioural Differences in Sensorimotor Profiles: A Comparison of Preschool-Aged Children with Sensory Processing Disorder and Autism Spectrum Disorders
Authors: Purpura Giulia , Cerroni Francesco , Carotenuto Marco , Nacinovich Renata , Tagliabue Luca
Published: March 2022

Sensory Processing Disorders (SPDs) define dysfunctions in modulating, organising, and using information from several sensory channels for regulating motor, behavioural, emotional and attention responses. Although SPD can be identified also as an isolated condition in young children, its presence in Autism Spectrum Disorder (ASD) population is really frequent. The study purpose is to explore the SPD clinical expression and the putative correlation with several behavioural aspects both in children with ASD and in those with isolated SPD. Therefore, 43 preschool-aged children (25 ASD vs. 18 SPD) were recruited, and their parents completed three questionnaires (Developmental Profile-3, Sensory Processing Measure–Preschool, Repetitive Behaviour Scale-Revised) to evaluate behavioural alterations and developmental levels. The main result is that both ASD and SPD groups had significantly sensory-related behavioural symptoms, although ASD children seem to be more impaired in all areas. Several significant correlations were found between sensory processing difficulties and repetitive behaviours, but in the SPD group a specific relationship between Body Awareness and Ritualistic/Sameness Behaviour was found. Conversely, in the ASD group, more diffuse interlinks between sensory processing difficulties and motor behaviours were significant. In conclusion, the present study confirms the key role of sensory–motor skills in early diagnosis and intervention among children at risk for neurodevelopmental disorders.
Educational Attainment and Employment Outcome of Survivors of Pediatric CNS Tumors in Switzerland—A Report from the Swiss Childhood Cancer Survivor Study
Authors: Otth Maria , Michel Gisela , Gerber Nicolas , Guerreiro Stücklin Ana , von Bueren André , Scheinemann Katrin ,   on behalf of the Swiss Pediatric Oncology Group (SPOG)
Published: March 2022

Background: Childhood cancer survivors diagnosed with a central nervous system (CNS) tumor are at risk for educational and vocational challenges. This study compared educational attainment and employment outcome in survivors of CNS tumors to survivors of other malignancies. Methods: The questionnaire-based Swiss Childhood Cancer Survivor Study (SCCSS) included cancer patients diagnosed between 1976 and 2010, aged ≤20 years, who survived ≥5 years after diagnosis. We classified participants aged ≥16 years into three groups: CNS tumor and non-CNS malignancy with and without CNS-directed treatment. We analyzed educational attainment, employment outcome and special schooling. Subgroup analyses included survivors aged ≥25 years. Results: We analyzed 2154 survivors, including 329 (15%) CNS tumor survivors, 850 (40%) non-CNS tumor survivors with and 975 (45%) without CNS-directed treatment. Fewer CNS tumor survivors aged ≥25 years reached tertiary education (44%) compared to those without CNS-directed treatment (51%) but performed similar to survivors with CNS-directed treatment (42%). Among CNS tumor survivors, 36 (14%) received special schooling. Higher parental education was associated with higher levels in survivors. Employment outcome did not significantly differ between the three diagnostic groups. A higher proportion of CNS tumor survivors received disability pension or were unemployed. Conclusions: Our findings suggest that CNS tumor survivors need more time to achieve their highest educational level. This should influence clinical care of these survivors by offering vocational counseling.
Introduction to Language Development in Children: Description to Detect and Prevent Language Difficulties
Authors: Aguilar-Mediavilla Eva , Pérez-Pereira Miguel , Serrat-Sellabona Elisabet , Adrover-Roig Daniel
Published: March 2022

The present Special Issue focuses on studies of language acquisition in children [...]
Polytetrafluoroethylene Modified Nafion Membranes by Magnetron Sputtering for Vanadium Redox Flow Batteries
Authors: Su Jun , Ye Jiaye , Qin Zhenyu , Sun Lidong
Published: March 2022

Commercial Nafion membranes have been widely used for vanadium redox flow batteries (VRFB) but with relatively low ion selectivity. A chemical method is commonly employed to modify the organic membranes, whereas physical approaches are rarely reported in view of less compatibility with the organic species. In this study, an ultrathin polytetrafluoroethylene (PTFE) film of less than 30 nm is deposited onto the Nafion substrates by radio frequency magnetron sputtering to form PTFE@Nafion composite membranes. The PTFE layer of hydrophobic and inert feature enhances the dimensional stability and the ion selectivity of the Nafion membranes. The VRFB single cell with an optimized composite membrane exhibits a better self-discharge property than that of the Nafion 212 (i.e., 201.2 vs. 18.6 h), due to a higher ion selectivity (i.e., 21.191 × 104 vs. 11.054 × 104 S min cm–3). The composite membranes also show better discharge capacity retention than the Nafion 212 over the entire 100 cycles. The results indicate that the magnetron sputtering is an alternative and feasible route to tailor the organic membranes via surface modification and functionalization.
Research on the Quality of Asphalt Pavement Construction Based on Nondestructive Testing Technology
Authors: Chen Wei , Hu Guiling , Han Wenyang , Zhang Xiaomeng , Wei Jincheng , Xu Xizhong , Yan Xiangpeng
Published: March 2022

In order to better evaluate the construction quality of asphalt pavement, nondestructive testing techniques are used to inspect newly paved asphalt mixture pavement. The proposed system for the evaluation of asphalt pavement construction quality uses three-dimensional ground-penetrating radar (GPR) and a non-nuclear density gauge. The GPR and the non-nuclear density gauge test results were used to establish a dielectric constant–porosity model by fitting. This approach can more accurately determine the dielectric constant selection scheme of the GPR based on the average value of every 10 dielectric constant data points in the length direction of the radar antenna and every three data channels in the width direction. The GPR collected the dielectric constants of the road surface based on the total reflection method and used the average value of the local dielectric constant to evaluate the construction quality of the road. The non-nuclear density gauge used the local porosity to assess the construction quality of the road. It is recommended that the two testing schemes described above be used to evaluate the quality of asphalt pavement construction. They can provide theoretical guidance for future applications in practical processes.
Electrical and Hysteresis Characteristics of Top-Gate InGaZnO Thin-Film Transistors with Oxygen Plasma Treatment Prior to TEOS Oxide Gate Dielectrics
Authors: Tien Tsung-Cheng , Hsieh Tsung-Eong , Lee Yih-Shing , Wang Yu-Hsin , Lee Ming-Ling
Published: March 2022

We report the impact of oxygen (O2) plasma time on an amorphous indium–gallium–zinc oxide (a-IGZO) thin-film surface that was carried out before TEOS deposition in order to optimize the performance of thin-film transistors (TFTs). TheO2 plasma time of 60 s possessed the largest on/off current ratio of >108, with a field-effect mobility (µFE) of 8.14 cm2 V−1 s−1, and the lowest subthreshold swing (S.S.) of 0.395 V/decade, with a threshold voltage (Vth) of −0.14 V. However, increases in Ioff and S.S. and decreases in the µFE were observed for the longer O2 plasma time of 120 s. As the O2 plasma time increased, the reduction in the carrier concentration in the IGZO channel layer may have resulted in an increase in Vth for the IGZO TFT devices. With an increase in the O2 plasma time, the surface roughness of the IGZO channel layer was increased, the carbon content in the TEOS oxide film was reduced, and the film stoichiometry was improved. The SIMS depth profile results showed that the O/Si ratio of TEOS oxide for the sample with the O2 plasma time of 60 s was 2.64, and its IGZO TFT device had the best electrical characteristics. In addition, in comparison to the IGZO TFT device without O2 annealing, larger clockwise hysteresis in the transfer characteristics revealed that a greater number of electrons were trapped at the interface between TEOS oxide and the a-IGZO channel layer. However, hysteresis curves of the O2-annealed IGZO TFTs with various O2 plasma times were greatly reduced, meaning that the electron traps were reduced by O2 annealing.
Extraction and Characterization of Pectin from Jerusalem ArtiChoke Residue and Its Application in Blueberry Preservation
Authors: Zhou Xiaotong , Liu Liu , Li Jianke , Wang Lin , Song Xueying
Published: March 2022

To prolong the storage period of blueberry and improve its shelf-life quality, an edible coating based on chitosan was developed, and different contents of pectin were added to the coating. In this study, Jerusalem artichoke residue was used as a source of pectin, which is a byproduct of the processing of inulin. The extracted pectin has a low cost and high quality, which is very suitable for the preservation of coating. The coating was prepared and the chemical properties of the coating were characterized by SEM, XRD, TG, and FTIR. The barrier properties of the coating were analyzed by thickness, water content, solubility, and water vapor permeability. The results showed that the pectin coating exhibited excellent performance in blueberry preservation. Following 16 days of storage, the decay and weight loss rates of blueberry treated with 0.2% pectin coating decreased by 33 and 22%, respectively. Moreover, the organic acid consumption of the coated blueberry slowed and the anthocyanins were better preserved. As a low-cost, safe, and efficient technology, the pectin chitosan composite coating has significant potential in the berries preservation industry.
Synthesis and Characterization of Epoxy-Rich TMOs Deposited on Stainless Steel for Corrosion Applications
Authors: Ferrel-Alvarez Atzin , Galicia Brenda B. , Ashok Adhikari , Regmi Ganesh , Velumani Subramaniam , Castaneda Homero
Published: March 2022

Epoxy-trimetallic oxide (epoxy-TMO) coatings of ZrO2:TiO2:ZnO at different compositions were synthesized and used to protect a stainless steel surface. The different TMO compositions were synthesized using the ball-milling method and later dispersed on the polymer matrix. The different characterizations performed on these coatings showed that the epoxy-TMO coating with a ratio of 50:40:10 (wt%) exhibited the highest corrosion resistance, in the order of ~1012 Ωcm2, due to the barrier effect of the distributed particles after 28 days in an aggressive environment (3.5 wt% NaCl solution). The influence of the metal oxides in forming a semiconductor layer produces a capacitor-like behavior, influencing corrosion control via a mass transfer mechanism barrier. The water uptake reveals the effect of each metal oxide in the formation of a physical barrier due to the dispersion mechanism, as well as how the particles function within the polymer matrix.
The Exchange-Correlation Effects on the Electronic Bands of Hybrid Armchair Single-Walled Carbon Boron Nitride Nanostructure
Authors: Itas Yahaya Saadu , Suleiman Abdussalam Balarabe , Ndikilar Chifu E. , Lawal Abdullahi , Razali Razif , Khandaker Mayeen Uddin , Ahmad Pervaiz , Tamam Nissren , Sulieman Abdelmoneim
Published: March 2022

This study investigates the effect of exchange-correlation on the electronic properties of hybridized hetero-structured nanomaterials, called single-walled carbon boron nitride nanotubes (SWCBNNT). A first principles (ab initio) method implemented in Quantum ESPRESSO codes, together with different parametrizations (local density approximation (LDA) formulated by Perdew Zunga (PZ) and the generalized gradient approximation (GGA) proposed by Perdew–Burke–Ernzerhof (PBE) and Perdew–Wang 91 (PW91)), were used in this study. It has been observed that the disappearance of interface states in the band gap was due to the discontinuity of the π–π bonds in some segments of SWCNT, which resulted in the asymmetric distribution in the two segments. This work has successfully created a band gap in SWCBNNT, where the PBE exchange-correlation functional provides a well-agreed band gap value of 1.8713 eV. Effects of orbitals on electronic properties have also been studied elaborately. It has been identified that the Py orbital gives the largest contribution to the electrical properties of our new hybrid SWCBNNT nanostructures. This study may open a new avenue for tailoring bandgap in the hybrid heterostructured nanomaterials towards practical applications with next-generation optoelectronic devices, especially in LED nanoscience and nanotechnology.
Microstructure and Its Effect on the Intergranular Corrosion Properties of 2024-T3 Aluminum Alloy
Authors: Xiao Xiang , Zhou Zeyu , Liu Cheng , Cao Lingfei
Published: March 2022

Intergranular corrosion is the main corrosion type of Al-Cu-Mg aluminum alloys, which seriously reduce the lifetime of aircraft structural parts. In this paper, the microstructure and the intergranular corrosion behavior of 2024 alloy with varying Cu and Mg content were studied by using a scanning electron microscope (SEM), transmission electron microscope (TEM), and three-dimensional atom probe (3DAP). The results show that nano-scale θ (Al2Cu) and S (Al2CuMg) particles precipitate along grain boundaries after quenching. The nano-cluster is the main strengthening phase in the 2024 alloy after natural aging for 96 h. The intergranular corrosion susceptibility is greatly affected by the presence of θ (Al2Cu) and S (Al2CuMg) phases along grain boundaries. Specifically, Cu-rich precipitates and intermetallics are known to act as local cathodes, which facilitates the action of oxygen reduction and ultimately drives anodic dissolution of the surrounding matrix material. The intergranular corrosion resistance of the alloy decreases with the increase in Cu and Mg contents. The alloy with a lower Mg content shows better corrosion resistance than the commonly used one with a Cu to Mg mass ratio of 2.9. The relationship between the observed corrosion behavior and various contents of Cu and Mg elements is discussed, which has potential to benefit the composition design of 2xxx aluminum alloy with high corrosion resistance.
Noninvasive Assessment of Liver Fibrosis with ElastPQ in Patients with Chronic Viral Hepatitis: Comparison Using Histopathological Findings
Authors: Choo Dongmin , Shin Kyung Sook , Min Ji Hye , You Sun-kyoung , Kim Kyung-Hee , Lee Jeong Eun
Published: March 2022

Chronic viral hepatitis is a major cause of chronic liver disease leading to liver fibrosis. This study aimed to assess the diagnostic performance of elastography point quantification (ElastPQ), transient elastography (TE), and aspartate aminotransferase-to-platelet count ratio index (APRI) for the staging of liver fibrosis in patients with chronic viral hepatitis using histopathological findings as a reference standard. For 122 patients with chronic viral hepatitis, diagnostic performance was evaluated using area under the receiver operating characteristic curve (AUROC) analysis and correlations were determined using Spearman’s correlation coefficient. The AUROC of ElastPQ for the diagnosis of the fibrosis stage ≥ F2 was 0.917 with a cut-off value of 3.935. There was a significant positive correlation between the different stages of histologic liver fibrosis and stiffness values obtained using ElastPQ, TE, and APRI (ρ = 0.556, ρ = 0.657, ρ = 0.375, respectively; p < 0.001). ElastPQ showed a higher diagnostic accuracy than APRI, resembling that of TE; AUROC values of ElastPQ, TE, and APRI were 0.917, 0.964, and 0.896, respectively, for a fibrosis stage ≥ F2. ElastPQ is a promising noninvasive technique with a diagnostic accuracy comparable with that of TE for the evaluation of liver fibrosis in patients with chronic viral hepatitis.
Assessment of Liver Fat: Dual-Energy CT versus Conventional CT with and without Contrast
Authors: Xu Jack Junchi , Boesen Mikkel Ranum , Hansen Sofie Lindskov , Ulriksen Peter Sommer , Holm Søren , Lönn Lars , Hansen Kristoffer Lindskov
Published: March 2022

We assessed the correlation between liver fat percentage using dual-energy CT (DECT) and Hounsfield unit (HU) measurements in contrast and non-contrast CT. This study included 177 patients in two patient groups: Group A (n = 125) underwent whole body non-contrast DECT and group B (n = 52) had a multiphasic DECT including a conventional non-contrast CT. Three regions of interest were placed on each image series, one in the left liver lobe and two in the right to measure Hounsfield Units (HU) as well as liver fat percentage. Linear regression analysis was performed for each group as well as combined. Receiver operating characteristic (ROC) curve was generated to establish the optimal fat percentage threshold value in DECT for predicting a non-contrast threshold of 40 HU correlating to moderate-severe liver steatosis. We found a strong correlation between fat percentage found with DECT and HU measured in non-contrast CT in group A and B individually (R2 = 0.81 and 0.86, respectively) as well as combined (R2 = 0.85). No significant difference was found when comparing venous and arterial phase DECT fat percentage measurements in group B (p = 0.67). A threshold of 10% liver fat found with DECT had 95% sensitivity and 95% specificity for the prediction of a 40 HU threshold using non-contrast CT. In conclusion, liver fat quantification using DECT shows high correlation with HU measurements independent of scan phase.
B-DP: Dynamic Collection and Publishing of Continuous Check-In Data with Best-Effort Differential Privacy
Authors: Chen Youqin , Xu Zhengquan , Chen Jianzhang , Jia Shan
Published: March 2022

Differential privacy (DP) has become a de facto standard to achieve data privacy. However, the utility of DP solutions with the premise of privacy priority is often unacceptable in real-world applications. In this paper, we propose the best-effort differential privacy (B-DP) to promise the preference for utility first and design two new metrics including the point belief degree and the regional average belief degree to evaluate its privacy from a new perspective of preference for privacy. Therein, the preference for privacy and utility is referred to as expected privacy protection (EPP) and expected data utility (EDU), respectively. We also investigate how to realize B-DP with an existing DP mechanism (KRR) and a newly constructed mechanism (EXPQ) in the dynamic check-in data collection and publishing. Extensive experiments on two real-world check-in datasets verify the effectiveness of the concept of B-DP. Our newly constructed EXPQ can also satisfy a better B-DP than KRR to provide a good trade-off between privacy and utility.
Tipping the Balance: A Criticality Perspective
Authors: Bose Indrani
Published: March 2022

Cell populations are often characterised by phenotypic heterogeneity in the form of two distinct subpopulations. We consider a model of tumour cells consisting of two subpopulations: non-cancer promoting (NCP) and cancer-promoting (CP). Under steady state conditions, the model has similarities with a well-known model of population genetics which exhibits a purely noise-induced transition from unimodality to bimodality at a critical value of the noise intensity σ2. The noise is associated with the parameter λ representing the system-environment coupling. In the case of the tumour model, λ has a natural interpretation in terms of the tissue microenvironment which has considerable influence on the phenotypic composition of the tumour. Oncogenic transformations give rise to considerable fluctuations in the parameter. We compute the λ−σ2 phase diagram in a stochastic setting, drawing analogies between bifurcations and phase transitions. In the region of bimodality, a transition from a state of balance to a state of dominance, in terms of the competing subpopulations, occurs at λ = 0. Away from this point, the NCP (CP) subpopulation becomes dominant as λ changes towards positive (negative) values. The variance of the steady state probability density function as well as two entropic measures provide characteristic signatures at the transition point.
A Hybrid Method Using HAVOK Analysis and Machine Learning for Predicting Chaotic Time Series
Authors: Yang Jinhui , Zhao Juan , Song Junqiang , Wu Jianping , Zhao Chengwu , Leng Hongze
Published: March 2022

The prediction of chaotic time series systems has remained a challenging problem in recent decades. A hybrid method using Hankel Alternative View Of Koopman (HAVOK) analysis and machine learning (HAVOK-ML) is developed to predict chaotic time series. HAVOK-ML simulates the time series by reconstructing a closed linear model so as to achieve the purpose of prediction. It decomposes chaotic dynamics into intermittently forced linear systems by HAVOK analysis and estimates the external intermittently forcing term using machine learning. The prediction performance evaluations confirm that the proposed method has superior forecasting skills compared with existing prediction methods.
REEdI Design Thinking for Developing Engineering Curricula
Authors: Boyle Fiona , Walsh Joseph , Riordan Daniel , Geary Cathal , Kelly Padraig , Broderick Eilish
Published: March 2022

Universities are coming under increasing pressure to re-invent the way that engineering is taught in order to produce graduates that are capable of meeting the skills needs of the country’s industries. This paper described an active project where Design Thinking (DT) methodology is being applied in a novel way to Engineering Curriculum Development. Enterprise partners from a range of different manufacturing sectors participated in a series of Curriculum Development workshops and the results were cross referenced with subjects taught on existing engineering programmes internationally. This process highlighted the need for increased training in Lean, 6-Sigma, transversal and soft skills competencies, and the need to review how and when content is delivered. A survey was developed from the results of the workshops and sent out to a larger cohort of industry contacts for feedback on the proposed Engineering curriculum. Design Thinking methodology has helped ensure our customers’ needs are met by building the curriculum framework around competencies identified by both industry and academia while ensuring the students engage in a significant learning experience through experiential and applied learning using the latest immersive technologies.
Text Mining in Education—A Bibliometrics-Based Systematic Review
Authors: Ahadi Alireza , Singh Abhay , Bower Matt , Garrett Michael
Published: March 2022

Advances in Information Technology (IT) and computer science have without a doubt had a significant impact on our daily lives. The past few decades have witnessed the advancement of IT enabled processes in generating actionable insights in various fields, encouraging research based applications of modern Data Science methods. Among many other fields, education research has also been adopting different analytical approaches to advance the state of education systems. Moreover, developments in software engineering and web-based applications have made collection of education data possible at large scales. This systematic review aims to explore the 21st century’s state of the art applications of text mining methods used in the field of education. We analyse the metadata of all publications that use text mining or natural language processing in educational settings to report on the key themes of application of text mining methods in educational studies providing an overview of the current state of the art and the future directions for research and applications.
Infrared Radiation in the Management of Musculoskeletal Conditions and Chronic Pain: A Systematic Review
Authors: Tsagkaris Christos , Papazoglou Andreas S. , Eleftheriades Anna , Tsakopoulos Stavros , Alexiou Athanasios , Găman Mihnea-Alexandru , Moysidis Dimitrios V.
Published: March 2022

Infrared radiation (IR) is a promising complementary treatment for musculoskeletal conditions and chronic pain. By means of a systematic review, we evaluated the contribution of IR to the management of these ailments. PubMed-MEDLINE, Scopus, and Cochrane Library–Cochrane Central Register of Controlled Trials were systematically searched until 20 December 2021. The literature search yielded 233 relevant records. Following the screening of titles and abstracts, 42 full-texts were evaluated. As per inclusion/exclusion criteria, 13 publications were entered into the qualitative assessment. These studies described the effects of IR in humans: three studies focused on osteoarthritis, four studies on fibromyalgia, and six encompassed a wider range of diseases (ankylosing spondylitis, recovery from sports injuries, myofascial pain syndrome). Based on the findings of our systematic review, we noted a decrease in pain levels, as evaluated by the visual analog scale (VAS), in patients suffering from musculoskeletal disorders treated with IR. In addition, IR use led to a decrease in Fibromyalgia Impact Questionnaire (FiQ) scores in subjects diagnosed with fibromyalgia. Nevertheless, IR has failed to facilitate muscle recovery following athletic injuries.
A Trustworthy Building Energy Management System to Enable Direct IoT Devices’ Participation in Demand Response Programs
Authors: Teixeira Nuno , Barreto Ruben , Gomes Luis , Faria Pedro , Vale Zita
Published: March 2022

Nowadays, internet of things devices are becoming more prominent since they can integrate energy management systems. However, data sharing between end-users and other external entities is a concern that must be addressed to ensure data privacy. Given the above, this paper proposes a trustworthy energy management system for energy communities to enable direct internet of things devices’ participation in demand response programs at the community level. This solution is based on a building energy management system framework that considers signed tokens to maintain end-user data privacy and manage data access. Likewise, this solution can plan future demand response events to balance the consumption and generation, using the internet of things device’s flexibility. The results demonstrated that the planned demand response event for one hour efficiently balanced the energy community energy resources, enabling a reduction of approximately 2.8 kWh. Thus, the proposed solution allows safeguarding data ownership rights while efficiently managing energy resources.
Edge-Cloud Alarm Level of Heterogeneous IIoT Devices Based on Knowledge Distillation in Smart Manufacturing
Authors: Oh Seokju , Kim Donghyun , Lee Chaegyu , Jeong Jongpil
Published: March 2022

Along with the fourth industrial revolution, smart factories are receiving a great deal of attention. Large volumes of real-time data that are generated at high rates, especially in industries, are becoming increasingly important. Accordingly, the Industrial Internet of Things (IIoT), which connects, controls, and communicates with heterogeneous devices, is important to industrial sites and is now indispensable. To ensure the fairness and quality of the IIoT with limited network resources, the network connection of the IIoT needs to be constructed more intelligently. Many studies are being conducted on the efficient use of the resources that are imposed on IIoT devices. Therefore, in this paper, we propose a collaboration optimization method for heterogeneous devices that is based on cloud–fog–edge architecture. First, this paper proposes a knowledge distillation-based algorithm that can collaborate on cloud–fog–edge computing on the basis of distributed control. Second, to compensate for the shortcomings of knowledge distillation, we propose a framework for combining a soft-label-based alarm level. Finally, the method that is proposed in this paper was verified through several experiments, and it is shown that this method can effectively shorten the response time and solve the problems of existing IIoT networks, and that it can be efficiently applied to heterogeneous devices.
A Novel ISO 26262-Compliant Test Bench to Assess the Diagnostic Coverage of Software Hardening Techniques against Digital Components Random Hardware Failures
Authors: Sini Jacopo , Violante Massimo , Tronci Fabrizio
Published: March 2022

This paper describes a novel approach to assess detection mechanisms and their diagnostic coverage, implemented using embedded software, designed to identify random hardware failures affecting digital components. In the literature, many proposals adopting fault injection methods are available, with most of them focusing on transient faults and not considering the functional safety standards requirements. This kind of proposal can benefit developers involved in the automotive market, where strict safety and cost requirements make the adoption of software-only strategies convenient. Hence, we have focused our efforts on compliance with the ISO 26262 automotive functional safety standard. The approach concerns permanent faults affecting microcontrollers and it provides a mapping between the failure mode described in part 11 of the Standard and the chosen fault models. We propose a test bench designed to inject permanent failures into an emulated microcontroller and determine which of them are detected by the embedded software. The main contribution of this paper is a novel fault injection manager integrated with the open-source software GCC, GDB, and QEMU. This test bench manages all the assessment phases, from fault generation to fault injection and the ISA emulation management, up to the classification of the simulation results.
A 3rd-Order FIR Filter Implementation Based on Time-Mode Signal Processing
Authors: Panetas-Felouris Orfeas , Vlassis Spyridon
Published: March 2022

This paper presents the hardware implementation of a 3rd-order low-pass finite impulse response (FIR) filter based on time-mode signal processing circuits. The filter topology consists of a set of novel building blocks that perform the necessary functions in time-mode including z−1 operation, time addition and time multiplication. The proposed time-mode low-pass FIR filter was designed in a 28 nm Samsung fully-depleted silicon-on-insulator FD-SOI process under 1 V supply voltage with 5 MHz sampling frequency. Simulation results validate the theoretical analysis. The FIR filter achieves a signal-to-noise-plus-distortion ratio (SNDR) of 38.6 dB at the input frequency of 50 KHz consuming around 200 μW.
The Inhibitory Effect of Free Nitrous Acid and Free Ammonia on the Anoxic Phosphorus Uptake Rate of Polyphosphate-Accumulating Organisms
Authors: Andreadakis Dimitris , Noutsopoulos Constantinos , Mamais Daniel , Charalambous Vera , Koukoura Asimina , Malamis Simos
Published: March 2022

The purpose of this study is to investigate the effect of free nitrous acid (FNA) and free ammonia (FA) on the anoxic phosphorus uptake rate (PUR) of polyphosphate-accumulating organisms (PAOs) via the utilization of nitrite. With this goal, upon developing a PAO-enriched culture in a sequential batch reactor, a series of batch experiments were conducted to examine the effects of nitrite and ammonium on the anoxic phosphorus uptake rate at different pH levels. According to the results, both free nitrous acid and free ammonia were found to inhibit anoxic PUR to a degree similar to their respective effects on aerobic PUR reported in previous studies, suggesting that phosphorus removal via the anoxic pathway may be just as susceptible as that via the aerobic pathway. The effect of FNA on anoxic PUR is optimally described by a non-competitive inhibition model with a KiFNA value of 1.6 μg N L−1, while the Levenspiel model with an SFA* value of 37 mg N L−1 provided the best fit for the FA effect on PAOs anoxic activities. The results of this study provide new insights regarding the viability of EBPR under high nitrogen loading conditions.