bluuebunny/crossref_metadata_2025 huggingface dataset:
Behavior Characteristics of a Booted Sleeper Track System According to Substructure Deformation
Authors: Choi Jung-Youl , Ahn Dae-Hui , Kim Sun-Hee
Published: May 2021

In booted sleeper floating track systems wherein the concrete bed, rail, and sleeper are structurally separated, mismatches can occur between the substructure and track owing to deformations. Nevertheless, the mutual behavior between substructures and track systems has not been studied extensively. To address this limitation, the effect of substructure uplift and subsidence on the deformation of a boosted sleeper floating track system installed in a subway box tunnel was analyzed using finite element analysis. A detailed three-dimensional model consisting of all track system components was constructed to determine the interaction between the rail and concrete bed. The sleepers were observed to rotate in response to substructure deformation, and their resulting contact conditions on the concrete bed were analyzed to determine the track status accordingly. The zones of likely tension and shear cracking in the concrete bed were then determined to provide focus areas for track design and maintenance efforts. The results of this study can be used to improve the design and inspection of floating track systems to ensure the safety and functionality of railway tunnels in areas likely to experience uplift or subsidence.
The Effects of a 10-Week Home-Based Exercise Programme in Individuals with Parkinson’s Disease during the COVID-19 Pandemic: A Pilot Study
Authors: Khobkhun Fuengfa , Suwannarat Jinjuta , Pheungphrarattanatrai Anuchai , Niemrungruang Kanjana , Techataweesub Sakaowrat , Khacharoen Suweena , Ajjimaporn Amornpan , Srivanitchapoom Prachaya , Richards Jim
Published: May 2021

Current restrictions on clinical visits as a consequence of the COVID-19 pandemic has increased the need for home-based exercise regimes to facilitate useful, long term patterns of behaviour in individuals with Parkinson’s disease (PD). This study aimed to evaluate the effectiveness of a 10-week home-based exercise program designed to target improvements in axial rigidity and gait. The Movement Disorders Society-Unified Parkinson’s Disease Rating Scale (MDS-UPDRS), motor scale and rigidity items, Functional axial rotation–physical (FAR-p), functional reach test (FRT), and time up and go (TUG) test were recorded. In addition, the 10-metre walk test, the fall efficacy scale international (FES-I) and the global rating of change score (GROC) were also recorded. Eighteen individuals were divided randomly into two groups: a home-based exercise group (n = 10) and a traditional physiotherapy control group (n = 8). Participants in the 10-week home-based exercise group showed significant improvements (p < 0.05) in the MDS-UPDRS rigidity item, FAR-p, step length, gait velocity, FRT and FES-I when compared with the control group. This study supports the use of home-based exercises in individuals with PD. These preliminary results also support the hypothesis that targeting axial deficits may be an effective approach for improving gait and reducing falls.
Cu&Si Core–Shell Nanowire Thin Film as High-Performance Anode Materials for Lithium Ion Batteries
Authors: Zhang Lifeng , Zhang Linchao , Xie Zhuoming , Yang Junfeng
Published: May 2021

Cu@Si core–shell nanowire thin films with a Cu3Si interface between the Cu and Si were synthesized by slurry casting and subsequent magnetron sputtering and investigated as anode materials for lithium ion batteries. In this constructed core–shell architecture, the Cu nanowires were connected to each other or to the Cu foil, forming a three-dimensional electron-conductive network and as mechanical support for the Si during cycling. Meanwhile, the Cu3Si layer can enhance the interface adhesion strength of the Cu core and Si shell; a large amount of void spaces between the Cu@Si nanowires could accommodate the lithiation-induced volume expansion and facilitate electrolyte impregnation. As a consequence, this electrode exhibits impressive electrochemical properties: the initial discharge capacity and initial coulombic efficiency is 3193 mAh/g and 87%, respectively. After 500 cycles, the discharge capacity is about 948 mAh/g, three times that of graphite, corresponding to an average capacity fading rate of 0.2% per cycle.
Effect of Micro Solidification Crack on Mechanical Performance of Remote Laser Welded AA6063-T6 Fillet Lap Joint in Automotive Battery Tray Construction
Authors: Sun Tianzhu , Franciosa Pasquale , Liu Conghui , Pierro Fabio , Ceglarek Dariusz
Published: May 2021

Remote laser welding (RLW) has shown a number of benefits of joining 6xxx aluminium alloys such as high processing speed and process flexibility. However, the crack susceptibility of 6xxx aluminium alloys during RLW process is still an open problem. This paper experimentally assesses the impact of transverse micro cracks on joint strength and fatigue durability in remote laser welding of extruded AA6063-T6 fillet lap joints. Distribution and morphology of transverse micro cracks were acquired by scanning electron microscope (SEM) on cross-sections. Grain morphology in the weld zone was determined by electron backscatter diffraction (EBSD) while static tensile and dynamic fatigue tests were carried out to evaluate weld mechanical performance. Results revealed that increasing welding speed from 2 m/min to 6 m/min did not introduce additional transverse micro cracks. Additionally, welding at 2 m/min resulted in tensile strength improvement by 30% compared to 6 m/min due to the expansion of fusion zone, measured by the throat thickness, and refinement of columnar grains near fusion lines. Furthermore, the weld fatigue durability is significantly higher when fracture occurs in weld root instead of fusion zone. This can be achieved by increasing weld root angle with optimum weld fatigue durability at around 55°.
Low-Pass Filtering Method for Poisson Data Time Series
Authors: Getmanov Victor , Chinkin Vladislav , Sidorov Roman , Gvishiani Alexei , Dobrovolsky Mikhail , Soloviev Anatoly , Dmitrieva Anna , Kovylyaeva Anna , Osetrova Nataliya , Yashin Igor
Published: May 2021

Problems of digital processing of Poisson-distributed data time series from various counters of radiation particles, photons, slow neutrons etc. are relevant for experimental physics and measuring technology. A low-pass filtering method for normalized Poisson-distributed data time series is proposed. A digital quasi-Gaussian filter is designed, with a finite impulse response and non-negative weights. The quasi-Gaussian filter synthesis is implemented using the technology of stochastic global minimization and modification of the annealing simulation algorithm. The results of testing the filtering method and the quasi-Gaussian filter on model and experimental normalized Poisson data from the URAGAN muon hodoscope, that have confirmed their effectiveness, are presented.
Antitumor Effects in Gas Plasma-Treated Patient-Derived Microtissues—An Adjuvant Therapy for Ulcerating Breast Cancer?
Authors: Akbari Zahra , Saadati Fariba , Mahdikia Hamed , Freund Eric , Abbasvandi Fereshteh , Shokri Babak , Zali Hakimeh , Bekeschus Sander
Published: May 2021

Despite global research and continuous improvement in therapy, cancer remains a challenging disease globally, substantiating the need for new treatment avenues. Medical gas plasma technology has emerged as a promising approach in oncology in the last years. Several investigations have provided evidence of an antitumor action in vitro and in vivo, including our recent work on plasma-mediated reduction of breast cancer in mice. However, studies of gas plasma exposure on patient-derived tumors with their distinct microenvironment (TME) are scarce. To this end, we here investigated patient-derived breast cancer tissue after gas plasma-treated ex vivo. The tissues were disjoint to pieces smaller than 100 µm, embedded in collagen, and incubated for several days. The viability of the breast cancer tissue clusters and their outgrowth into their gel microenvironment declined with plasma treatment. This was associated with caspase 3-dependent apoptotic cell death, paralleled by an increased expression of the anti-metastatic adhesion molecule epithelial (E)-cadherin. Multiplex chemokine/cytokine analysis revealed a marked decline in the release of the interleukins 6 and 8 (IL-6, IL-8) and monocyte-chemoattractant-protein 1 (MCP) known to promote a cancer-promoting milieu in the TME. In summary, we provide here, for the first time, evidence of a beneficial activity of gas plasma exposure on human patient-derived breast cancer tissue.
Mini-Review: Potential of Diatom-Derived Silica for Biomedical Applications
Authors: Sardo Angela , Orefice Ida , Balzano Sergio , Barra Lucia , Romano Giovanna
Published: May 2021

Diatoms are unicellular eukaryotic microalgae widely distributed in aquatic environments, possessing a porous silica cell wall known as frustule. Diatom frustules are considered as a sustainable source for several industrial applications because of their high biocompatibility and the easiness of surface functionalisation, which make frustules suitable for regenerative medicine and as drug carriers. Frustules are made of hydrated silica, and can be extracted and purified both from living and fossil diatoms using acid treatments or high temperatures. Biosilica frustules have proved to be suitable for biomedical applications, but, unfortunately, they are not officially recognised as safe by governmental food and medical agencies yet. In the present review, we highlight the frustule formation process, the most common purification techniques, as well as advantages and bottlenecks related to the employment of diatom-derived silica for medical purposes, suggesting possible solutions for a large-scale biosilica production.
(In-Vitro Comparison between Closed Versus Open CAD/CAM Systems) Comparison between Closed and Open CAD/CAM Systems by Evaluating the Marginal Fit of Zirconia-Reinforced Lithium Silicate Ceramic Crowns
Authors: Ben-Izhack Gil , Shely Asaf , Koton Omer , Meirowitz Avi , Levartovsky Shifra , Dolev Eran
Published: May 2021

Background: This study compared the marginal gap (MG) and absolute marginal discrepancy (AMD) of computer-aided design and computer-aided manufacturing (CAD–CAM) used in open systems (OSs) and closed systems (CSs) for producing monolithic zirconia-reinforced lithium silicate (ZLS) ceramic crowns. Methods: 60 ZLS ceramic crowns were cemented to abutment acrylic teeth; thirty crowns were designed and milled by an OS, and thirty by a CS. All crowns were sectioned for evaluating the marginal gap by scanning electronic microscopy (SEM). To compare the marginal gap between CS and OS techniques, data were analyzed using the independent-samples Mann–Whitney U Test (α = 0.05). Results: AMD was found to be significantly better for the closed system (p < 0.05). Mean AMD values for the CS were 148 µm, and for the OS it was 196 µm. MG was found to be significantly better for the OS (p < 0.05). Mean MG values for the CS were 55 µm, and for the OS they were 38 µm. Conclusions: The marginal gap in relation to AMD was significantly better for CS. However, the marginal gap in relation to MG was significantly better for OS. Both techniques showed clinically acceptable MG values (<120 µm).
Application of Blockchain in Education: GDPR-Compliant and Scalable Certification and Verification of Academic Information
Authors: Delgado-von-Eitzen Christian , Anido-Rifón Luis , Fernández-Iglesias Manuel J.
Published: May 2021

Blockchain technologies are awakening in recent years the interest of different actors in various sectors and, among them, the education field, which is studying the application of these technologies to improve information traceability, accountability, and integrity, while guaranteeing its privacy, transparency, robustness, trustworthiness, and authenticity. Different interesting proposals and projects were launched and are currently being developed. Nevertheless, there are still issues not adequately addressed, such as scalability, privacy, and compliance with international regulations such as the General Data Protection Regulation in Europe. This paper analyzes the application of blockchain technologies and related challenges to issue and verify educational data and proposes an innovative solution to tackle them. The proposed model supports the issuance, storage, and verification of different types of academic information, both formal and informal, and complies with applicable regulations, protecting the privacy of users’ personal data. This proposal also addresses the scalability challenges and paves the way for a global academic certification system.
Outdoor Air Quality of Environments Used for Exercise and Sports Practice: An Analysis of Scientific Production through Bibliometric Analysis
Authors: Andrade Alexandro , Dominski Fábio Hech , Vilarino Guilherme Torres
Published: May 2021

Thus, far, in the Environmental Science field, there appears to be only one previous bibliometric analysis of scientific production with regard to exercise and sports practice, performed in indoor environments. This study investigates and analyzes scientific production related to outdoor air quality of environments that are used for exercise and sports practice through a bibliometric analysis. Five databases were searched in March 2020. A bibliometric analysis was performed for authors, institutions and countries, in relation to publication year, language, citations, theme, and analysis of publication keywords. Of the 2401 screened studies, 106 satisfied the inclusion criteria. The first work was published in 1967. A high number of studies (85.8%) were published after 2008. The United States (US) accounted for most of the performed studies, followed by China. The author keywords associated with the words “pollutants”, “human health”, and “exercise/sports” were the most commonly used. A total of 59 journals had been published on this subject, and most of these were in the area of medicine. It was observed that most of this scientific production was developed by researchers from institutions in the US and China. The publications focused on pollutants and subjects related to human health and sports.
Optimal Tilt and Orientation Angles in Fixed Flat Surfaces to Maximize the Capture of Solar Insolation: A Case Study in Ecuador
Authors: Serrano-Guerrero Xavier , Cantos Eduardo , Feijoo Juan-Javier , Barragán-Escandón Antonio , Clairand Jean-Michel
Published: May 2021

Due to the increasing attention of PV generation, and to the uncertainty of the real PV electrical power output, power system are facing planning challenges. Hence, this case report proposes a computer application that determines the optimal tilt and orientation angles of flat surfaces to maximize solar insolation capture based on existing mathematical models. The study uses data from different meteorological variables measured and estimated through a typical year from the most populated Ecuador cities. The computer application considers the global, diffuse, direct, reflected radiation, and the angle of incidence of the sun. This analysis reveals the angle of inclination and orientation where the highest percentage of insolation is obtained in Ecuador’s main cities. The results suggest that, in Ecuador, flat solar capture surfaces can be oriented between 20° and 60° concerning north, and with tilt angles between 12° and 19°. This contrasts with the literature, which recommends an orientation to the equator and an inclination equal to the location’s latitude.
Amelioration of Diabetes-Induced Nephropathy by Loranthus regularis: Implication of Oxidative Stress, Inflammation and Hyperlipidaemia
Authors: Alanazi Ahmed Z. , Mohany Mohamed , Alasmari Fawaz , Mothana Ramzi A. A. , Alshehri Abdulaziz O. A. , Alhazzani Khalid , Ahmed Mohammed M. , Al-Rejaie Salim S.
Published: May 2021

In traditional Yemeni medicine, various preparations of Loranthus regularis (L. regularis), such as powder, decoctions and infusions are commonly used to treat diabetes, kidney stone formations and inflammation. In the present study, we evaluated the antinephrotoxic effects of L. regularis extract in experimentally-induced diabetes in male Wistar rats. A single dose (60 mg/kg/day) of Streptozotocin (STZ) was used to induce type 1 diabetes. Animals were then treated for four weeks with L. regularis extract (150 or 300 mg/kg/day) by oral gavage. Renal and blood samples were subsequently harvested. Several biochemical indices, oxidative stress and inflammatory markers were assessed. Additionally, histological alterations in the renal tissue were examined. Serum glucose levels were significantly (p < 0.01) lowered while insulin levels were enhanced in L. regularis-treated diabetic animals. The increased renal markers in diabetic rats were decreased by L. regularis treatment. Serum elevated lipid profiles were markedly decreased by the plant extract. The serum and renal cytokines that were significantly increased (p < 0.001) by STZ were diminished by L. regularis treatment. Finally, renal tissue antioxidant enzymatic activity was enhanced with L. regularis treatment. Taken together, the data here indicate that L. regularis possesses therapeutic ability to reduce the development of diabetic nephropathy (DN) by minimizing oxidative injury and inflammation.
Homocysteine: Biochemistry, Molecular Biology and Role in Disease
Authors: Hermann Anton , Sitdikova Guzel
Published: May 2021

Homocysteine is a non-proteinogenic sulfhydryl-containing amino acid derived from methionine and is a homologue of cysteine [...]
Recent Advances in the Bacterial Flagellar Motor Study
Authors: Minamino Tohru , Namba Keiichi
Published: May 2021

The bacterial flagellum is a supramolecular motility machine that allows bacterial cells to swim in liquid environments [...]
Impact of Venoarterial Extracorporeal Membrane Oxygenation on Alkaline Phosphatase Metabolism after Cardiac Surgery
Authors: Poschner Thomas , Schaefer Anne-Kristin , Hutschala Doris , Goliasch Georg , Riebandt Julia , Distelmaier Klaus , Bernardi Martin H. , Andreas Martin , Brands Ruud , Aref Tandis , Laufer Günther , Wiedemann Dominik
Published: May 2021

(1) Alkaline phosphatase (AP) is consumed during cardiopulmonary bypass (CPB). A high AP depletion leads to an impaired outcome after cardiac surgery. However, data is scarce on the postoperative course of AP under venoarterial ECMO (VA-ECMO) support. (2) A total of 239 patients with VA-ECMO support between 2000 and 2019 at the Department of Cardiac Surgery (Vienna General Hospital, Austria) were included in this retrospective analysis. Blood samples were collected at several timepoints (baseline, postoperative day (POD) 1–7, POD 14 and 30). Patients were categorized according to the relative AP drop (<60% vs. ≥60%) and ECMO duration (<5 days vs. ≥5 days). (3) Overall, 44.4% reached the baseline AP values within 5 days—this was only the case for 28.6% with a higher AP drop (compared to 62.7% with a lower drop; p = 0.000). A greater AP drop was associated with a significantly higher need for renal replacement therapy (40.9% vs. 61.9%; p = 0.002) and an impaired 1-year survival (51.4% vs. 66.0%; p = 0.031). (4) CPB exceeds the negative impact of VA-ECMO; still, ECMO seems to delay alkaline phosphatase recovery. A greater initial AP drop bears the risk of higher morbidity and mortality.
Comparative Biomechanical Study of Screw Fixation Techniques in Periacetabular Osteotomy
Authors: Bakhtiarinejad Mahsan , Farvardin Amirhossein , Murphy Ryan J. , Grupp Robert B. , Tis John E. , Sponseller Paul D. , Armand Mehran
Published: May 2021

Periacetabular osteotomy (PAO) is a common surgical treatment for developmental dysplasia of the hip. To obtain the optimal method of fixation during PAO, different screw fixation techniques have been proposed for stabilizing the acetabular fragment. This study assesses the biomechanical performance of two popular 3-screw fixation techniques: iliac (IS) and transverse (IT) configurations, through finite element simulations. Additionally, different 2-screw combinations are simulated to investigate the biomechanical significance of each screw of the fixation configurations. The study findings show that yield load of the pelvic bone subject to gait loading for IT configuration is on average 7% higher compared to that of the IS. Although the yield load of the IT is predicted to be slightly higher, no significant difference in bone stiffness and displacement of the acetabular fragment are found between two configurations. Simulation results, therefore, do not demonstrate a significant biomechanical advantage of the IT configuration over the IS. Furthermore, the biomechanical comparison between the 2-screw combinations of IS and IT fixations demonstrates that the most anterior screw in IS, located at the iliac crest, and the most medial screw in the IT are the most critical elements in providing sufficient stability and support for acetabular fragment.
Subpopulations of High-Density Lipoprotein: Friends or Foes in Cardiovascular Disease Risk in Chronic Kidney Disease?
Authors: Coimbra Susana , Reis Flávio , Valente Maria João , Rocha Susana , Catarino Cristina , Rocha-Pereira Petronila , Sameiro-Faria Maria , Bronze-da-Rocha Elsa , Belo Luís , Santos-Silva Alice
Published: May 2021

Dyslipidemia is a major traditional risk factor for cardiovascular disease (CVD) in chronic kidney disease (CKD) patients, although the altered lipid profile does not explain the number and severity of CVD events. High-density lipoprotein (HDL) is a heterogeneous (size, composition, and functionality) population of particles with different atherogenic or atheroprotective properties. HDL-cholesterol concentrations per se may not entirely reflect a beneficial or a risk profile for CVD. Large HDL in CKD patients may have a unique proteome and lipid composition, impairing their cholesterol efflux capacity. This lack of HDL functionality may contribute to the paradoxical coexistence of increased large HDL and enhanced risk for CVD events. Moreover, CKD is associated with inflammation, oxidative stress, diabetes, and/or hypertension that are able to interfere with the anti-inflammatory, antioxidative, and antithrombotic properties of HDL subpopulations. How these changes interfere with HDL functions in CKD is still poorly understood. Further studies are warranted to fully clarify if different HDL subpopulations present different functionalities and/or atheroprotective effects. To achieve this goal, the standardization of techniques would be valuable.
Predicting COVID-19—Comorbidity Pathway Crosstalk-Based Targets and Drugs: Towards Personalized COVID-19 Management
Authors: Barh Debmalya , Aljabali Alaa A. , Tambuwala Murtaza M. , Tiwari Sandeep , Serrano-Aroca Ángel , Alzahrani Khalid J. , Silva Andrade Bruno , Azevedo Vasco , Ganguly Nirmal Kumar , Lundstrom Kenneth
Published: May 2021

It is well established that pre-existing comorbid conditions such as hypertension, diabetes, obesity, cardiovascular diseases (CVDs), chronic kidney diseases (CKDs), cancers, and chronic obstructive pulmonary disease (COPD) are associated with increased severity and fatality of COVID-19. The increased death from COVID-19 is due to the unavailability of a gold standard therapeutic and, more importantly, the lack of understanding of how the comorbid conditions and COVID-19 interact at the molecular level, so that personalized management strategies can be adopted. Here, using multi-omics data sets and bioinformatics strategy, we identified the pathway crosstalk between COVID-19 and diabetes, hypertension, CVDs, CKDs, and cancers. Further, shared pathways and hub gene-based targets for COVID-19 and its associated specific and combination of comorbid conditions are also predicted towards developing personalized management strategies. The approved drugs for most of these identified targets are also provided towards drug repurposing. Literature supports the involvement of our identified shared pathways in pathogenesis of COVID-19 and development of the specific comorbid condition of interest. Similarly, shared pathways- and hub gene-based targets are also found to have potential implementations in managing COVID-19 patients. However, the identified targets and drugs need further careful evaluation for their repurposing towards personalized treatment of COVID-19 cases having pre-existing specific comorbid conditions we have considered in this analysis. The method applied here may also be helpful in identifying common pathway components and targets in other disease-disease interactions too.
Immunosurveillance of Cancer and Viral Infections with Regard to Alterations of Human NK Cells Originating from Lifestyle and Aging
Authors: Deng Xuewen , Terunuma Hiroshi , Nieda Mie
Published: May 2021

Natural killer (NK) cells are cytotoxic immune cells with an innate capacity for eliminating cancer cells and virus- infected cells. NK cells are critical effector cells in the immunosurveillance of cancer and viral infections. Patients with low NK cell activity or NK cell deficiencies are predisposed to increased risks of cancer and severe viral infections. However, functional alterations of human NK cells are associated with lifestyles and aging. Personal lifestyles, such as cigarette smoking, alcohol consumption, stress, obesity, and aging are correlated with NK cell dysfunction, whereas adequate sleep, moderate exercise, forest bathing, and listening to music are associated with functional healthy NK cells. Therefore, adherence to a healthy lifestyle is essential and will be favorable for immunosurveillance of cancer and viral infections with healthy NK cells.
Impact of Fatty Acid-Binding Proteins in α-Synuclein-Induced Mitochondrial Injury in Synucleinopathy
Authors: Cheng An , Jia Wenbin , Kawahata Ichiro , Fukunaga Kohji
Published: May 2021

Synucleinopathies are diverse diseases with motor and cognitive dysfunction due to progressive neuronal loss or demyelination, due to oligodendrocyte loss in the brain. While the etiology of neurodegenerative disorders (NDDs) is likely multifactorial, mitochondrial injury is one of the most vital factors in neuronal loss and oligodendrocyte dysfunction, especially in Parkinson’s disease, dementia with Lewy body, multiple system atrophy, and Krabbe disease. In recent years, the abnormal accumulation of highly neurotoxic α-synuclein in the mitochondrial membrane, which leads to mitochondrial dysfunction, was well studied. Furthermore, fatty acid-binding proteins (FABPs), which are members of a superfamily and are essential in fatty acid trafficking, were reported to trigger α-synuclein oligomerization in neurons and glial cells and to target the mitochondrial outer membrane, thereby causing mitochondrial loss. Here, we provide an updated overview of recent findings on FABP and α-synuclein interactions and mitochondrial injury in NDDs.
Advanced Structural Analysis of Innovative Steel–Glass Structures with Respect to the Architectural Design
Authors: Tahmasebinia Faham , Wang Youtian , Wu Siyuan , Ho Justin , Shen Weijia , Ma Hongyi , Sepasgozar Samad M. E. , Marroquin Fernando Alonso
Published: May 2021

This paper provides a comprehensive analysis of a steel–glass spindle torus structure based on the prototype of the Jewel Changi Airport, Singapore. Instead of studying a common cuboid building, the research in this paper focuses on a spindle torus shape structure which incorporates tremendous, curved members. Hence, the advanced modeling and structural analysis of this structure provides valuable information about an irregularly shaped building. Meanwhile, the modeling and analysis process of this innovative structure also gives rise to some practical design recommendations for both architects and engineers. In this paper, both global structure stability and local member buckling behavior were studied. With the use of commercial finite element software, Strand7 (R2.4.6) and ABAQUS (6.14), a series of numerical simulations were conducted. In terms of the behavior of the global structure, both numerical spindle torus models incorporating straight and curved steel members were tested under different load combinations specified in Australian building standards. A significant difference was observed between the results of the two models; therefore, research on the individual curved members was undertaken. Regarding the local member buckling behavior, the effective length factor for curved members with braced and sway boundaries conditions was investigated in Strand7. Moreover, the interaction curves of curved beams with different L/R ratios were compared with perfectly straight members in Australian building standards. ABAQUS can provide more precise predictions of local buckling behavior; therefore, the elastic local buckling behavior of the perimeter beams on different levels was investigated using ABAQUS. Additionally, the impacts of boundary conditions and L/R ratios on the beam buckling behavior are discussed.
Porphyrin MOF-Derived Porous Carbons: Preparation and Applications
Authors: Figueira Flávio , Paz Filipe A. Almeida
Published: May 2021

Metal–organic frameworks (MOFs) are crystalline materials with permanent porosity, composed of metal nodes and organic linkers whose well-ordered arrangement enables them to act as ideal templates to produce materials with a uniform distribution of heteroatom and metal elements. The hybrid nature of MOFs, well-defined pore structure, large surface area and tunable chemical composition of their precursors, led to the preparation of various MOF-derived porous carbons with controlled structures and compositions bearing some of the unique structural properties of the parent networks. In this regard, an important class of MOFs constructed with porphyrin ligands were described, playing significant roles in the metal distribution within the porous carbon material. The most striking early achievements using porphyrin-based MOF porous carbons are here summarized, including preparation methods and their transformation into materials for electrochemical reactions.
Prognostic Significance of Computed Tomography Findings in Pulmonary Vein Stenosis
Authors: Sena Laureen , Callahan Ryan , Sleeper Lynn A. , Beroukhim Rebecca S.
Published: May 2021

(1) Pulmonary vein stenosis (PVS) can be a severe, progressive disease with lung involvement. We aimed to characterize findings by computed tomography (CT) and identify factors associated with death; (2) Veins and lung segments were classified into five locations: right upper, middle, and lower; and left upper and lower. Severity of vein stenosis (0–4 = no disease–atresia) and lung segments (0–3 = unaffected–severe) were scored. A PVS severity score (sum of all veins + 2 if bilateral disease; maximum = 22) and a total lung severity score (sum of all lung segments; maximum = 15) were reported; (3) Of 43 CT examinations (median age 21 months), 63% had bilateral disease. There was 30% mortality by 4 years after CT. Individual-vein PVS severity was associated with its corresponding lung segment severity (p < 0.001). By univariate analysis, PVS severity score >11, lung cysts, and total lung severity score >6 had higher hazard of death; and perihilar induration had lower hazard of death; (4) Multiple CT-derived variables of PVS severity and lung disease have prognostic significance. PVS severity correlates with lung disease severity.
ADHD Symptomatology, Executive Function and Cognitive Performance Differences between Family Foster Care and Control Group in ADHD-Diagnosed Children
Authors: Peñarrubia María , Navarro-Soria Ignasi , Palacios Jesús , Fenollar-Cortés Javier
Published: May 2021

Children in foster care have a high prevalence of attention deficit and hyperactivity disorder (ADHD) diagnosis, together with other difficulties in inattentive/hyperactive behaviors, executive and cognitive processes. Early exposure to adversity is a risk factor for developing ADHD via neurodevelopmental pathways. The goal of this research is (a) to study the cognitive and executive performance and inattentive/hyperactive behavior of ADHD-diagnosed children living in foster families in Spain, and (b) to analyze the role of placement variables in their performance. The sample was composed of 102 ADHD-diagnosed children aged 6- to 12-years-old, divided into two groups: 59 children living with non-relative foster families and 43 children not involved with protection services. Children’s executive function–inhibition, working memory, flexibility, attention, intellectual capacity, verbal comprehension, perceptive reasoning, working memory and processing speed were assessed using objective testing measures. At the same time, parents and teachers reported on children’s inattentive, hyperactive and impulsive behaviors. Children in foster care obtained lower scores in the general ability index than the control group after controlling the age at assessment. However, no differences were found in executive processes. Regarding placement factors, children with shorter exposure to adversities in their birth families and more time in foster care showed better executive performance. Professionals should consider the placement history of children in foster care and its influence on their symptomatology and cognitive capacities.
The Case of a Multiplication Skills Game: Teachers’ Viewpoint on MG’s Dashboard and OSLM Features
Authors: Leonardou Angeliki , Rigou Maria , Panagiotarou Aliki , Garofalakis John
Published: May 2021

Educational games and digital game-based learning (DGBL) provide pupils interactive, engaging, intelligent, and motivating learning environments. According to research, digital games can support students’ learning and enhance their motivation to learn. Given the central role teachers play in the learning process, their perceptions of DGBL play a significant role in the usage and effectiveness of game-based learning. This paper presents the main findings of an online research on primary school teachers’ attitudes toward DGBL. Furthermore, the research investigates teachers’ opinions about the functionalities provided by the implemented Multiplication Game (MG) and the newly incorporated teacher dashboard. The MG is an assessment and skills improvement tool that integrates an adaptation mechanism that identifies student weaknesses on the multiplication tables and in its latest version also supports a strong social parameter. Students can be informed about their own progress as well as the progress of their peers in an effort to examine if social interaction or competition can increase players’ motivation, which is a subject that raised some concerns in the teaching community. The paper describes the functional options offered by the MG dashboard and documents the outcomes of an online survey conducted with the participation of 182 primary school teachers. The survey indicated the potential usefulness of MG and the benefits it can offer as a learning tool to improve pupil multiplication skills and help teachers identify individual pupil skills and difficulties and adapt their teaching accordingly. The analysis applied has found a correlation between teachers’ perceptions about MG and their view on using digital games in general.
How Smart Manufacturing Can Help Combat the COVID-19 Pandemic
Authors: Lin Yun-Siang , Cheng Chao-Min , Chien Chen-Fu
Published: May 2021

The coronavirus pandemic (COVID-19) caused by severe acute respiratory syndrome–coronavirus 2 (SARS-CoV-2) has threatened public health and caused tremendous social and economic losses [...]
Recent Developments of ICG-Guided Sentinel Lymph Node Mapping in Oral Cancer
Authors: Kim Ji-Hoon , Ku Minhee , Yang Jaemoon , Byeon Hyung Kwon
Published: May 2021

Sentinel lymph node (SLN) biopsy has gained attention as a method of minimizing the extent of neck dissection with a similar survival rate as elective neck dissection in oral cancer. Indocyanine green (ICG) imaging is widely used in the field of surgical oncology. Real-time ICG-guided SLN imaging has been widely used in minimally invasive surgeries for various types of cancers. Here, we provide an overview of conventional SLN biopsy and ICG-guided SLN mapping techniques for oral cancer. Although ICG has many strengths, it still has limitations regarding its potential use as an ideal compound for SLN mapping. The development of novel fluorophores and imaging technology is needed for accurate identification of SLNs, which will allow precision surgery that would reduce morbidities and increase patient survival.
Left Ventricular Deformation and Vortex Analysis in Heart Failure: From Ultrasound Technique to Current Clinical Application
Authors: Sperlongano Simona , D’Andrea Antonello , Mele Donato , Russo Vincenzo , Pergola Valeria , Carbone Andreina , Ilardi Federica , Di Maio Marco , Bottino Roberta , Giallauria Francesco , Bossone Eduardo , Golino Paolo
Published: May 2021

Heart failure (HF) is a leading cause of cardiovascular morbidity and mortality. However, its symptoms and signs are not specific or can be absent. In this context, transthoracic echocardiography plays a key role in diagnosing the various forms of HF, guiding therapeutic decision making and monitoring response to therapy. Over the last few decades, new ultrasound modalities have been introduced in the field of echocardiography, aiming at better understanding the morpho-functional abnormalities occurring in cardiovascular diseases. However, they are still struggling to enter daily and routine use. In our review article, we turn the spotlight on some of the newest ultrasound technologies; in particular, analysis of myocardial deformation by speckle tracking echocardiography, and intracardiac flow dynamics by color Doppler flow mapping, highlighting their promising applications to HF diagnosis and management. We also focus on the importance of these imaging modalities in the selection of responses to cardiac resynchronization therapy.
Co-Design of Social Impact Domains with the Huntington’s Disease Community
Authors: Layton Natasha , Brusco Natasha , Gardner Tammy , Callaway Libby
Published: May 2021

Background: For people living with or affected by Huntington’s Disease (HD) to experience a good quality of life, tailored support is required to meet physical, cognitive-behavioral, psychological, and social support needs. Substantial service and knowledge gaps regarding HD exist across support providers and service systems. Measuring unmet needs and what quality of life looks like is a fundamental step required to determine the social impact of service investment and provision. The objectives of this study were to validate and map a draft set of HD Social Impact Domains (HD-SID) against existing national and international outcome frameworks; and evaluate and finalize the HD-SID set using a co-design approach with people with lived experience of, and expertise in, HD. Methods: This research used a qualitative co-design process, with 39 participants across four stakeholder groups (people who were HD gene-positive, gene-negative family members, academics, peak organizations, and service providers) to: (i) map and verify the social life areas impacted by HD; (ii) undertake a rigorous three-phased, qualitative process to critically evaluate the draft HD-SID; and (iii) seek feedback on and endorsement of the HD-SID through this co-design process, with a final set of HD-SID identified. Results: Endorsed HD-SID comprised risks and safety (including housing stability, and economic sustainability) and social inclusion (including health and symptom management, physical wellbeing, emotional wellbeing, and building resilient relationships). Conclusions: Effective measurement of the impacts and outcomes for people with HD is informed by both extant measures and an understanding of the specific population needs. This qualitative co-design research demonstrates that HD-SID resonate with the HD community.
Characterization of a Two-Photon Quantum Battery: Initial Conditions, Stability and Work Extraction
Authors: Delmonte Anna , Crescente Alba , Carrega Matteo , Ferraro Dario , Sassetti Maura
Published: May 2021

We consider a quantum battery that is based on a two-level system coupled with a cavity radiation by means of a two-photon interaction. Various figures of merit, such as stored energy, average charging power, energy fluctuations, and extractable work are investigated, considering, as possible initial conditions for the cavity, a Fock state, a coherent state, and a squeezed state. We show that the first state leads to better performances for the battery. However, a coherent state with the same average number of photons, even if it is affected by stronger fluctuations in the stored energy, results in quite interesting performance, in particular since it allows for almost completely extracting the stored energy as usable work at short enough times.
Hidden Attractors in Discrete Dynamical Systems
Authors: Berezowski Marek , Lawnik Marcin
Published: May 2021

Research using chaos theory allows for a better understanding of many phenomena modeled by means of dynamical systems. The appearance of chaos in a given process can lead to very negative effects, e.g., in the construction of bridges or in systems based on chemical reactors. This problem is important, especially when in a given dynamic process there are so-called hidden attractors. In the scientific literature, we can find many works that deal with this issue from both the theoretical and practical points of view. The vast majority of these works concern multidimensional continuous systems. Our work shows these attractors in discrete systems. They can occur in Newton’s recursion and in numerical integration.
Investigation on Identifying Implicit Learning Event from EEG Signal Using Multiscale Entropy and Artificial Bee Colony
Authors: Chaiyanan Chayapol , Iramina Keiji , Kaewkamnerdpong Boonserm
Published: May 2021

The way people learn will play an essential role in the sustainable development of the educational system for the future. Utilizing technology in the age of information and incorporating it into how people learn can produce better learners. Implicit learning is a type of learning of the underlying rules without consciously seeking or understanding the rules; it is commonly seen in small children while learning how to speak their native language without learning grammar. This research aims to introduce a processing system that can systematically identify the relationship between implicit learning events and their Encephalogram (EEG) signal characteristics. This study converted the EEG signal from participants while performing cognitive task experiments into Multiscale Entropy (MSE) data. Using MSE data from different frequency bands and channels as features, the system explored a wide range of classifiers and observed their performance to see how they classified the features related to participants’ performance. The Artificial Bee Colony (ABC) method was used for feature selection to improve the process to make the system more efficient. The results showed that the system could correctly identify the differences between participants’ performance using MSE data and the ABC method with 95% confidence.
Information Theoretic Causality Detection between Financial and Sentiment Data
Authors: Scaramozzino Roberta , Cerchiello Paola , Aste Tomaso
Published: May 2021

The interaction between the flow of sentiment expressed on blogs and media and the dynamics of the stock market prices are analyzed through an information-theoretic measure, the transfer entropy, to quantify causality relations. We analyzed daily stock price and daily social media sentiment for the top 50 companies in the Standard & Poor (S&P) index during the period from November 2018 to November 2020. We also analyzed news mentioning these companies during the same period. We found that there is a causal flux of information that links those companies. The largest fraction of significant causal links is between prices and between sentiments, but there is also significant causal information which goes both ways from sentiment to prices and from prices to sentiment. We observe that the strongest causal signal between sentiment and prices is associated with the Tech sector.
Conceiving Socioscientific Issues in STEM Lessons from Science Education Research and Practice
Authors: Alcaraz-Dominguez Silvia , Barajas Mario
Published: May 2021

This paper aims to elicit the different conceptions of Socioscientific Issues (SSI) in formal, non-tertiary STEM lessons. An examination of recent publications in the field of science education was conducted to elicit the most common conceptions of SSI as per the components of STEM lessons, namely: purpose, contents, teaching and learning strategies and assessment. As for purpose, the conceptions elicited have been organized in terms of contributing to citizenship goals, or to scientific competence. As for contents, it was found that SSI are related both to knowledge of science and knowledge about science and linked to skills such as argumentation. In terms of teaching and learning strategies, SSI are mainly associated with Inquiry-Based Learning; and with student engagement techniques such as dilemmas and group discussions. Lastly, performance assessment of student learning processes and results is typical when SSI are conceived as a method of assessment of STEM lessons. This conception sets up strong foundations for the design and evaluation of innovative SSI teaching. It shall also help to open new lines of research establishing connections among applications of SSI in different subjects, cultural contexts and educational systems.
Teachers’ Beliefs about the Role of Digital Educational Resources in Educational Practice: A Qualitative Study
Authors: Alberola-Mulet Ivan , Iglesias-Martínez Marcos Jesús , Lozano-Cabezas Inés
Published: May 2021

Information and Communication Technologies and Digital Educational Resources have undergone a rapid evolution and have been swiftly introduced into educational contexts. Teachers play a key role in integrating these technological resources into the classroom. The objective of the present study was to determine the value that teachers attribute to digital resources in their educational practice. Based on a qualitative methodology, the necessary information was obtained via an open-ended interview, in which a Spanish school’s Early Childhood and Primary Education teachers participated. The results revealed that teachers value the integration of digital resources into the classroom, though no consensus was reached as to the suitable level of integration. Use satisfaction was mainly related to student motivation. Certain problems or limitations also came to light, however, linked to students’ digital training. An important conclusion according to the perception of teachers is that the integration of digital resources in their educational practice was significant and improved the quality of the educational process.