bluuebunny/crossref_metadata_2025 huggingface dataset:
Validation and Adaptation of the “Modified Transplant Symptom Occurrence and Symptom Distress Scale” for Kidney Transplant Recipients
Authors: Kim Jisu , Jang Insil
Published: October 2020

The aim was to adapt and validate the Modified Transplant Symptom Occurrence and Symptom Distress Scale (MTSOSD-59R) for kidney transplant recipients undergoing immunosuppressive therapy in Korea. The MTSOSD-59R has been used with solid organ transplant recipients globally to assess the adverse effects of immunosuppressive medication. A descriptive cross-sectional design was used. MTSOSD-59R was first translated, and pilot tested. Next, content validity was established with nine organ transplant experts. Then, from October 2017 to October 2018, the Korean MTOSOSD-59R was administered to a convenience sample of 122 kidney transplant recipients recruited from a single center. Ridit analysis was used to measure symptom occurrence and distress. The known-group approach was used to test the construct validity using Mann–Whitney U tests for between-group comparisons. The content validity index for MTSOSD-59R was 0.98, and known-group validity was confirmed. The split-half Spearman–Brown corrected reliability coefficient was 0.902 for symptom occurrence and 0.893 for symptom distress. The four most frequent and distressing symptoms were fatigue, lack of energy, thinning hair, and erectile dysfunction (male). Results suggest this Korean MTSOSD-59R adaptation has adequate language, construct validity, and reliability to gather meaningful information from kidney transplant recipients in Korea.
Relationships between Prenatal Distress and Infant Body Mass Index in the First Year of Life in a Lower-Middle Income Country
Authors: Therrien Ann-Sophie , Buffa Giovanna , Roome Amanda B. , Standard Elizabeth , Pomer Alysa , Obed Jimmy , Taleo George , Tarivonda Len , W. Chan Chim , Kaneko Akira , Olszowy Kathryn M. , Dancause Kelsey N.
Published: October 2020

Prenatal stress affects body composition in childhood and later in life. However, few studies assess body composition in infancy. Furthermore, most are in high-income countries and do not consider interactive or curvilinear relationships. We assessed distress and diet during pregnancy via questionnaires among 310 women in Vanuatu, a lower-middle income country. We measured body mass index (BMI) among 54 infants at 4–12 months of age. We analyzed interactive relationships between prenatal distress and diet with BMI Z-scores, and curvilinear relationships between distress and BMI Z-scores. There were no direct linear or interactive relationships between prenatal distress or diet with BMI Z-scores. We observed curvilinear relationships between prenatal distress and BMI Z-scores (p = 0.008), explaining 13.3 percent of unique variance. Results highlight that relationships between prenatal stress and body composition are evident in infancy but might not be detected if only linear relationships are assessed. Analyses in more diverse samples might help to explain inconsistencies in past studies.
Risk Information Seeking Behavior in Disaster Resettlement: A Case Study of Ankang City, China
Authors: Shi Jia , Hu Xiangnan , Guo Xuesong , Lian Cuihong
Published: October 2020

In 2011, the Chinese government launched a disaster mitigation and preparedness program called the Resettlement of South Shaanxi (RSS). Due to the wide geographical scope and complex interests, the possibility of conflicts was increased during and after resettlement. Efficient risk communication improves the supply of information about risks and meets the risk-related information needs of individuals. Using the risk information seeking and processing (RISP) model, this research applied a structural equation model and survey with a structured questionnaire to study ways to improve risk communication in disaster resettlement. A total of 616 valid questionnaires were provided by study respondents in resettlement sites in Ziyang County, Ankang City, Shaanxi Province. The results indicated the following: (1) the public’s information seeking behavior relies more on village committees and village officials than other channels. Emerging information channels, such as Weibo and WeChat (social media applications in China), do not play leading roles in disseminating risk information. (2) There are differences between the information channels used by residents and the channels that residents believe the most. (3) Relevant channel beliefs, information sufficiency, perceived hazard characteristics, and self-efficacy directly influence risk information seeking behavior. However, the capacity to gather information has non-significant direct influences on information seeking behavior. (4) Perceived hazard characteristics and self-efficacy drive risk information seeking behavior in both direct and indirect ways through information sufficiency.
The German Multi-Dimensional Perceived Autonomy Support Scale for Physical Education: Adaption and Validation in a Sample of Lower Track Secondary School Students
Authors: Zimmermann Julia , Tilga Henri , Bachner Joachim , Demetriou Yolanda
Published: October 2020

Teachers’ autonomy support (AS) in physical education (PE) has positive effects on students’ affective and behavioral outcomes in PE. Even though the existence of three different dimensions of AS, namely cognitive, organizational and procedural AS has been suggested in educational settings, there is a lack of multidimensional instruments for the assessment of autonomy-supportive teaching in PE. The aim of this study was to validate the German Multi-Dimensional Perceived Autonomy Support Scale for Physical Education (MD-PASS-PE). The sample comprised 1030 students of grades 6 through 10. Internal consistency was used to test the reliability of the assumed subscales. Factorial validity and measurement invariance across gender and age were examined by confirmatory factor analyses. Structural equation modeling was used to evaluate criterion validity. The subscales exhibited acceptable to good internal consistency. The assumed three-factor structure was confirmed within a bi-factor model including a general factor and three specific group factors. Results strongly supported measurement invariance across gender while tentatively suggesting measurement invariance across age. Criterion validity was supported as the MD-PASS-PE explained 15% and 14% of the variance in the constructs of self-efficacy and intrinsic value, respectively. The German MD-PASS-PE provides PE teachers with deeper insights into their autonomy-supportive teaching behavior, helping them to support their students’ autonomy in a holistic way.
Prevalence of Alpha(α)-Thalassemia in Southeast Asia (2010–2020): A Meta-Analysis Involving 83,674 Subjects
Authors: Goh Lucky Poh Wah , Chong Eric Tzyy Jiann , Lee Ping-Chin
Published: October 2020

Alpha(α)-thalassemia is a blood disorder caused by many types of inheritable α-globin gene mutations which causes no-to-severe clinical symptoms, such as Hb Bart’s hydrops fetalis that leads to early foetal death. Therefore, the aim of this meta-analysis was to provide an update from year 2010 to 2020 on the prevalence of α-thalassemia in Southeast Asia. A systematic literature search was performed using PubMed and SCOPUS databases for related studies published from 2010 to 2020, based on specified inclusion and exclusion criteria. Heterogeneity of included studies was examined with the I2 index and Q-test. Funnel plots and Egger’s tests were performed in order to determine publication bias in this meta-analysis. Twenty-nine studies with 83,674 subjects were included and pooled prevalence rates in this meta-analysis were calculated using random effect models based on high observed heterogeneity (I2 > 99.5, p-value < 0.1). Overall, the prevalence of α-thalassemia is 22.6%. The highest α-thalassemia prevalence was observed in Vietnam (51.5%) followed by Cambodia (39.5%), Laos (26.8%), Thailand (20.1%), and Malaysia (17.3%). No publication bias was detected. Conclusions: This meta-analysis suggested that a high prevalence of α-thalassemia occurred in selected Southeast Asia countries. This meta-analysis data are useful for designing thalassemia screening programs and improve the disease management.
Factors Impacting Risk Perception under Typhoon Disaster in Macao SAR, China
Authors: Shen Yajing , Lou Shiyan , Zhao Xiujuan , Ip Kuai Peng , Xu Hui , Zhang Jingwen
Published: October 2020

Studying typhoon risk perception and its influencing factors help reveal potential risk factors from the perspective of the public and provide a basis for decision-making for reducing the risk of typhoon disasters. The purpose of this study is to assess the risk perception and related factors of Macao residents in China. Information was collected from 983 participants using a structured questionnaire with an effective utilization rate of 94.2%. Descriptive statistics, univariate analysis and correlation analysis were used to analyze the data. The results show that, on the one hand, there are significant differences in risk perception on the factors included: (1) age, education and other demographic characteristics; (2) health status, occupation, length of stay, residence area, residence floor, family organization structure and individuals monthly income and other personal or family conditions; (3) channels and quantity of typhoon information acquisition; (4) degree of mastery of relevant risk aversion knowledge. On the other hand, some factors still have a moderate or high level of correlation with risk perception: (1) The older the respondent, the lower the education level, the lower the income, the lower the risk perception of property damage, health impact and life threat. (2) The more children or elderly people in the family, the higher the risk perception of respondents. (3) The more risk knowledge, the lower the risk perception. (4) The more channels for obtaining information, the lower the fear level and the overall impact of risk perception. (5) The stronger the risk perception, the more positive disaster response behaviors would be taken by the public. In addition, the more information acquisition channels and the less risk knowledge respondents have, the greater the risk perception of the overall impact and the fear of the typhoon; the fewer information access channels and less risk knowledge respondents have, the greater the risk perceptions of property damage, health effects and life threats.
Social-Emotional Profile of Children with and without Learning Disabilities: The Relationships with Perceived Loneliness, Self-Efficacy and Well-Being
Authors: Heiman Tali , Olenik-Shemesh Dorit
Published: October 2020

The current study examined whether perceived social support mediated the effects of loneliness and self-efficacy on well-being among students with or without a learning disability (LD). Participants included 834 elementary, middle, and high school students from Israel (29.6% students with LDs) who completed self-report questionnaires. The results of structural equation modeling indicate that social support mediates the indirect effects of age, gender, loneliness and self-efficacy on well-being. In addition, the results show differences between groups, as non-LD girls noted a higher self-efficacy and well-being than boys, and well-being had indirect effects in the non-LD group than in the LD group. These results indicate students with LDs have a unique social-emotional profile that affects their well-being. The study highlights the importance of enhancing self-efficacy and reducing loneliness in order to increase social support, thus predicting positive well-being. Effective and practical educational programs are needed for both groups across age and gender.
Effectiveness of a Physical Therapeutic Exercise Programme for Caregivers of Dependent Patients: A Pragmatic Randomised Controlled Trial from Spanish Primary Care
Authors: Montero-Cuadrado Federico , Galán-Martín Miguel Ángel , Sánchez-Sánchez Javier , Lluch Enrique , Mayo-Iscar Agustín , Cuesta-Vargas Ántonio
Published: October 2020

Female family caregivers (FFCs) constitute one of the basic supports of socio-health care for dependence in developed countries. The care provided by FFCs may impact their physical and mental health, negatively affecting their quality of life. In order to alleviate the consequences of providing care on FFCs, the Spanish Public Health System has developed the family caregiver care programme (FCCP) to be applied in primary care (PC) centres. The effectiveness of this programme is limited. To date, the addition of a physical therapeutic exercise (PTE) programme to FCCP has not been evaluated. A randomised multicentre clinical trial was carried out in two PC centres of the Spanish Public Health System. In total, 68 FFCs were recruited. The experimental group (EG) performed the usual FCCP (4 sessions, 6 h) added to a PTE programme (36 sessions in 12 weeks) whereas the control group performed the usual FCCP performed in PC. The experimental treatment improved quality of life (d = 1.17 in physical component summary), subjective burden (d = 2.38), anxiety (d = 1.52), depression (d = 1.37) and health-related physical condition (d = 2.44 in endurance). Differences between the groups (p < 0.05) were clinically relevant in favour of the EG. The experimental treatment generates high levels of satisfaction.
Telemedicine in Oral and Maxillo-Facial Surgery: An Effective Alternative in Post COVID-19 Pandemic
Authors: Barca Ida , Novembre Daniela , Giofrè Elio , Caruso Davide , Cordaro Raffaella , Kallaverja Elvis , Ferragina Francesco , Cristofaro Maria Giulia
Published: October 2020

The aim of this work was to demonstrate the advantages of using telemedicine (TM) in the management of the outpatients with maxillofacial surgical pathologies during the COVID-19 pandemic. The study was conducted at the MaxilloFacial Surgery Unit of “Magna Graecia” University of Catanzaro, on two different groups of patients: a group of follow-up patients (A1: patients in oncological follow-up after surgical treatment performed before the COVID-19 pandemic; A2: suffering from chronic lesions such as precancerous lesions), and a group B of patients with first urgent visits (B1: patients with suspected oncological pathology; B2: patients with suspected urgent disease such as medication-related osteonecrosis of the jaws (MRONJ), odontogenic abscesses, temporomandibular joint (TMJ) dislocation, etc.). Participation in the study required possession of a smartphone with Internet access, e-mail and the use of a messaging service (WhatsApp or Telegram) to send photos and messages; completion by the patient of a COVID-19 screening questionnaire; submission of a satisfaction questionnaire by the doctors and patients. A total of 90 patients were included in this study. A high percentage of satisfaction emerged from the analysis of the satisfaction questionnaires of both patients and doctors.TM thus represents an excellent opportunity to improve accessibility to oncological and non-management activities, reducing the risk of Covid-19 dissemination and should be promoted and implemented in the post-pandemic era.
“Acute Myocardial Infarction in the Time of COVID-19”: A Review of Biological, Environmental, and Psychosocial Contributors
Authors: Gorini Francesca , Chatzianagnostou Kyriazoula , Mazzone Annamaria , Bustaffa Elisa , Esposito Augusto , Berti Sergio , Bianchi Fabrizio , Vassalle Cristina
Published: October 2020

Coronavirus disease 2019 (COVID-19) has quickly become a worldwide health crisis.Although respiratory disease remains the main cause of morbidity and mortality in COVID patients,myocardial damage is a common finding. Many possible biological pathways may explain therelationship between COVID-19 and acute myocardial infarction (AMI). Increased immune andinflammatory responses, and procoagulant profile have characterized COVID patients. All theseresponses may induce endothelial dysfunction, myocardial injury, plaque instability, and AMI.Disease severity and mortality are increased by cardiovascular comorbidities. Moreover, COVID-19has been associated with air pollution, which may also represent an AMI risk factor. Nonetheless,a significant reduction in patient admissions following containment initiatives has been observed,including for AMI. The reasons for this phenomenon are largely unknown, although a real decreasein the incidence of cardiac events seems highly improbable. Instead, patients likely may presentdelayed time from symptoms onset and subsequent referral to emergency departments because offear of possible in-hospital infection, and as such, may present more complications. Here, we aim todiscuss available evidence about all these factors in the complex relationship between COVID-19and AMI, with particular focus on psychological distress and the need to increase awareness ofischemic symptoms.
Reactive Oxygen Species and Abiotic Stress in Plants
Authors: Gechev Tsanko , Petrov Veselin
Published: October 2020

Abiotic stresses cause plant growth inhibition, damage, and in the most severe cases, cell death, resulting in major crop yield losses worldwide. Many abiotic stresses lead also to oxidative stress. Recent genetic and genomics studies have revealed highly complex and integrated gene networks which are responsible for stress adaptation. Here we summarize the main findings of the papers published in the Special Issue “ROS and Abiotic Stress in Plants”, providing a global picture of the link between reactive oxygen species and various abiotic stresses such as acid toxicity, drought, heat, heavy metals, osmotic stress, oxidative stress, and salinity.
Ultrastructural Pathology of Atherosclerosis, Calcific Aortic Valve Disease, and Bioprosthetic Heart Valve Degeneration: Commonalities and Differences
Authors: Kostyunin Alexander , Mukhamadiyarov Rinat , Glushkova Tatiana , Bogdanov Leo , Shishkova Daria , Osyaev Nikolay , Ovcharenko Evgeniy , Kutikhin Anton
Published: October 2020

Atherosclerosis, calcific aortic valve disease (CAVD), and bioprosthetic heart valve degeneration (alternatively termed structural valve deterioration, SVD) represent three diseases affecting distinct components of the circulatory system and their substitutes, yet sharing multiple risk factors and commonly leading to the extraskeletal calcification. Whereas the histopathology of the mentioned disorders is well-described, their ultrastructural pathology is largely obscure due to the lack of appropriate investigation techniques. Employing an original method for sample preparation and the electron microscopy visualisation of calcified cardiovascular tissues, here we revisited the ultrastructural features of lipid retention, macrophage infiltration, intraplaque/intraleaflet haemorrhage, and calcification which are common or unique for the indicated types of cardiovascular disease. Atherosclerotic plaques were notable for the massive accumulation of lipids in the extracellular matrix (ECM), abundant macrophage content, and pronounced neovascularisation associated with blood leakage and calcium deposition. In contrast, CAVD and SVD generally did not require vasculo- or angiogenesis to occur, instead relying on fatigue-induced ECM degradation and the concurrent migration of immune cells. Unlike native tissues, bioprosthetic heart valves contained numerous specialised macrophages and were not capable of the regeneration that underscores ECM integrity as a pivotal factor for SVD prevention. While atherosclerosis, CAVD, and SVD show similar pathogenesis patterns, these disorders demonstrate considerable ultrastructural differences.
Correction: Pokotylo, I., et al. Deciphering the Binding of Salicylic Acid to Arabidopsis thaliana Chloroplastic GAPDH-A1. Int. J. Mol. Sci. 2020, 21, 4678
Authors: Pokotylo Igor , Hellal Denis , Bouceba Tahar , Hernandez-Martinez Miguel , Kravets Volodymyr , Leitao Luis , Espinasse Christophe , Kleiner Isabelle , Ruelland Eric
Published: October 2020

The authors wish to make the following correction to their published paper [...]
Unidirectional Regulation of Vimentin Intermediate Filaments to Caveolin-1
Authors: Shi Xuemeng , Fan Changyuan , Jiu Yaming
Published: October 2020

Both the mechanosensitive vimentin cytoskeleton and endocytic caveolae contribute to various active processes such as cell migration, morphogenesis, and stress response. However, the crosstalk between these two systems has remained elusive. Here, we find that the subcellular expression between vimentin and caveolin-1 is mutual exclusive, and vimentin filaments physically arrest the cytoplasmic motility of caveolin-1 vesicles. Importantly, vimentin depletion increases the phosphorylation of caveolin-1 on site Tyr14, and restores the compromised cell migration rate and directionality caused by caveolin-1 deprivation. Moreover, upon hypo-osmotic shock, vimentin-knockout recovers the reduced intracellular motility of caveolin-1 vesicles. In contrary, caveolin-1 depletion shows no effect on the expression, phosphorylation (on sites Ser39, Ser56, and Ser83), distribution, solubility, and cellular dynamics of vimentin filaments. Taken together, our data reveals a unidirectional regulation of vimentin to caveolin-1, at least on the cellular level.
Exploring the Potential of Therapeutic Agents Targeted towards Mitigating the Events Associated with Amyloid-β Cascade in Alzheimer’s Disease
Authors: Behl Tapan , Kaur Ishnoor , Fratila Ovidiu , Brata Roxana , Bungau Simona
Published: October 2020

One of the most commonly occurring neurodegenerative disorders, Alzheimer’s disease (AD), encompasses the loss of cognitive and memory potential, impaired learning, dementia and behavioral defects, and has been prevalent since the 1900s. The accelerating occurrence of AD is expected to reach 65.7 million by 2030. The disease results in neural atrophy and disrupted inter-neuronal connections. Amongst multiple AD pathogenesis hypotheses, the amyloid beta (Aβ) cascade is the most relevant and accepted form of the hypothesis, which suggests that Aβ monomers are formed as a result of the cleavage of amyloid precursor protein (APP), followed by the conversion of these monomers to toxic oligomers, which in turn develop β-sheets, fibrils and plaques. The review targets the events in the amyloid hypothesis and elaborates suitable therapeutic agents that function by hindering the steps of plaque formation and lowering Aβ levels in the brain. The authors discuss treatment possibilities, including the inhibition of β- and γ-secretase-mediated enzymatic cleavage of APP, the immune response generating active immunotherapy and passive immunotherapeutic approaches targeting monoclonal antibodies towards Aβ aggregates, the removal of amyloid aggregates by the activation of enzymatic pathways or the regulation of Aβ circulation, glucagon-like peptide-1 (GLP-1)-mediated curbed accumulation and the neurotoxic potential of Aβ aggregates, bapineuzumab-mediated vascular permeability alterations, statin-mediated Aβ peptide degradation, the potential role of ibuprofen and the significance of natural drugs and dyes in hindering the amyloid cascade events. Thus, the authors aim to highlight the treatment perspective, targeting the amyloid hypothesis, while simultaneously emphasizing the need to conduct further investigations, in order to provide an opportunity to neurologists to develop novel and reliable treatment therapies for the retardation of AD progression.
Traffic Sign Detection Method Based on Improved SSD
Authors: You Shuai , Bi Qiang , Ji Yimu , Liu Shangdong , Feng Yujian , Wu Fei
Published: October 2020

Due to changes in illumination, adverse weather conditions, and interference from signs similar to real traffic signs, the false detection of traffic signs is possible. Nevertheless, in order to improve the detection effect of small targets, baseline SSD (single shot multibox detector) adopts a multi-scale feature detection method to improve the detection effect to some extent. The detection effect of small targets is improved, but the number of calculations needed for the baseline SSD network is large. To this end, we propose a lightweight SSD network algorithm. This method uses some 1 × 1 convolution kernels to replace some of the 3 × 3 convolution kernels in the baseline network and deletes some convolutional layers to reduce the calculation load of the baseline SSD network. Then the color detection algorithm based on the phase difference method and the connected component calculation are used to further filter the detection results, and finally, the data enhancement strategy based on the image appearance transformation is used to improve the balance of the dataset. The experimental results show that the proposed method is 3% more accurate than the baseline SSD network, and more importantly, the detection speed is also increased by 1.2 times.
Four Decades of Land-Cover Change on the Kenai Peninsula, Alaska: Detecting Disturbance-Influenced Vegetation Shifts Using Landsat Legacy Data
Authors: Baughman Carson , Loehman Rachel , Magness Dawn , Saperstein Lisa , Sherriff Rosemary
Published: October 2020

Across Alaska’s Kenai Peninsula, disturbance events have removed large areas of forest over the last half century. Simultaneously, succession and landscape evolution have facilitated forest regrowth and expansion. Detecting forest loss within known pulse disturbance events is often straightforward given that reduction in tree cover is a readily detectable and measurable land-cover change. Land-cover change is more difficult to quantify when disturbance events are unknown, remote, or environmental response is slow in relation to human observation. While disturbance events and related land-cover change are relatively instant, assessing patterns of post-disturbance succession requires long term monitoring. Here, we describe a method for classifying land cover and quantifying land-cover change over time, using Landsat legacy imagery for three historical eras on the western Kenai Peninsula: 1973–2002, 2002–2017, and 1973–2017. Scenes from numerous Landsat sensors, including summer and winter seasons, were acquired between 1973 and 2017 and used to classify vegetation cover using a random forest classifier. Land-cover type was summarized by era and combined to produce a dataset capturing spatially explicit land-cover change at a moderate 30-m resolution. Our results document large-scale forest loss across the study area that can be attributed to known disturbance events including beetle kill and wildfire. Despite numerous and extensive disturbances resulting in forest loss, we estimate that the study area has experienced net forest gain over the duration of our study period due to reforestation within large fire events that predate this study. Transition between forest and graminoid non-forest land cover including wetlands and herbaceous uplands is the most common land-cover change—representing recruitment of a graminoid dominated understory following forest loss and the return of forest canopy given sufficient time post-disturbance.
Resident or Present? Population Census Data Tell You More about Suburbanization
Authors: Rontos Kostas , Colantoni Andrea , Salvati Luca , Mosconi Enrico Maria , Morera Antonio Giménez
Published: October 2020

The present study analyzes population redistribution across metropolitan regions considering together changes over time in the spatial distribution of resident and present population from census data. Considering population dynamics in Athens, Greece, between 1991 and 2011, the results of this study evidenced how the ratio of present to resident population increases more rapidly in urban than rural areas along the last twenty years. By revealing different expansion processes at the regional and local scales, the present-to-resident ratio of usual population was correlated to selected variables (population density and growth, distance from the inner city and settlement dispersion) with the aim at delineating apparent and latent relationships with the local socioeconomic context. Statistical analysis indicates that the present-to-resident population ratio is reflective of the intense suburbanization observed until the early 1990s in Athens, determining population redistribution and settlement dispersion over larger areas.
Investigation of the Critical Behavior, Magnetocaloric Effect and Hyperfine Structure in the Fe72Nb8B20 Powders
Authors: Alleg Safia , Chabi Thaounza , Bensebaa Nadia , Saurina Joan , Escoda Lluisa , Hlil El-Kebir , Suñol Joan-Josep
Published: October 2020

Microstructure as well as magnetic, thermal and magnetocaloric properties of the mechanically alloyed Fe72Nb8B20 powders have been investigated by means of Mössbauer spectrometry, differential scanning calorimetry (DSC), and magnetic measurements. The Mössbauer spectrometry results showed the formation of nanostructured Fe(B) and Fe(Nb) solid solutions, Fe2B boride, and an amorphous phase. The endothermic and exothermic peaks that are observed in the DSC curves might be related to the Curie temperature, and the crystallization of the amorphous phase, respectively. The critical exponent values around the magnetic phase transition of the amorphous phase (TC = 480 K), are deduced from the modified Arrott plots, Kouvel−Fisher curves and critical isotherm examination. The calculated values (β = 0.457 ± 0.012, γ = 0.863 ± 0.136 and δ = 3.090 ± 0.004) are near to those of the mean field model, revealing a dominating role of magnetic order arising due to long-range ferromagnetic interactions, as the critical exponents are mean-field-like. The maximum entropy change and the refrigerant capacity values are 1.45 J/kg·K and 239 J/kg, respectively, under a magnetic field of 5 T.
Design and Synthesis of Novel 2D Porous Zinc Oxide-Nickel Oxide Composite Nanosheets for Detecting Ethanol Vapor
Authors: Liang Yuan-Chang , Chang Yen-Cheng , Zhao Wei-Cheng
Published: October 2020

The porous zinc oxide-nickel oxide (ZnO-NiO) composite nanosheets were synthesized via sputtering deposition of NiO thin film on the porous ZnO nanosheet templates. Various NiO film coverage sizes on porous ZnO nanosheet templates were achieved by changing NiO sputtering duration in this study. The microstructures of the porous ZnO-NiO composite nanosheets were investigated herein. The rugged surface feature of the porous ZnO-NiO composite nanosheets were formed and thicker NiO coverage layer narrowed the pore size on the ZnO nanosheet template. The gas sensors based on the porous ZnO-NiO composite nanosheets displayed higher sensing responses to ethanol vapor in comparison with the pristine ZnO template at the given target gas concentrations. Furthermore, the porous ZnO-NiO composite nanosheets with the suitable NiO coverage content demonstrated superior gas-sensing performance towards 50–750 ppm ethanol vapor. The observed ethanol vapor-sensing performance might be attributed to suitable ZnO/NiO heterojunction numbers and unique porous nanosheet structure with a high specific surface area, providing abundant active sites on the surface and numerous gas diffusion channels for the ethanol vapor molecules. This study demonstrated that coating of NiO on the porous ZnO nanosheet template with a suitable coverage size via sputtering deposition is a promising route to fabricate porous ZnO-NiO composite nanosheets with a high ethanol vapor sensing ability.
What Do Polish Parents and Caregivers Think of Dietary Supplements for Children Aged 3–12?
Authors: Piekara Agnieszka , Krzywonos Małgorzata , Kaczmarczyk Monika
Published: October 2020

Background: The aim of this study was to specify the amounts and the types of dietary supplements (DS) taken by children and define the attitudes of caregivers towards DS and towards administering them to children aged 3–12. An analysis of the reasons for using DSs, and of expected benefits and awareness of health risks associated with administering DSs, was conducted. Methods: The online questionnaire collected information on sociodemographic characteristics and use of dietary supplements. Multiple analyses were used to describe the relationship between demographic factors and dietary supplement intake. In particular cases, strength and correlation were also calculated. Results: In total, 54.89% of participants were administering dietary supplements to children at the time of completing the questionnaire—a weak linear relationship (Cramer’s V = 0.21) between child’s age and the child taking dietary supplements. Respondents for whom DSs are equivalents of medicines tend not to see that dietary supplements may cause side-effects and interact. Conclusions: Parents who administer dietary supplements to children show a tendency to have more trust in this type of product than the people who do not do so. It was also confirmed that the people who take dietary supplements transfer their behavioral patterns by also administering them to their children.
Impact of S1P Mimetics on Mesenteric Ischemia/Reperfusion Injury
Authors: Potì Francesco , Giorgio Carmine , Zini Irene , Nofer Jerzy-Roch , Vivo Valentina , Palese Simone , Ballabeni Vigilio , Barocelli Elisabetta , Bertoni Simona
Published: October 2020

Mesenteric ischemia/reperfusion (I/R), following the transient deprivation of blood flow to the gut, triggers an acute flogistic process involving the disruption of endothelial and epithelial barriers integrity, the activation of immune cells, and the abundant release of inflammatory mediators. Among them, the lipid mediator sphingosine-1-phosphate (S1P) is involved in maintaining epithelial and endothelial barrier integrity and in governing the migration of immune cells through the interaction with S1P1–5 receptors. Therefore, the present work aims to investigate the involvement of S1P signaling in intestinal I/R-induced injury by studying the effects of FTY720, the non-selective S1P1,3–5 agonist, and comparing them with the responses to ozanimod, selective S1P1,5 agonist, in a murine model of gut I/R. Intestinal edema, gut and lung neutrophil infiltration, and oxidative stress were evaluated through biochemical and morphological assays. The collected results highlight the protective action of FTY720 against the inflammatory cascade elicited by mesenteric I/R injury, mainly through the control of vascular barrier integrity. While these beneficial effects were mimicked by ozanimod and can be therefore attributed largely to the effects exerted by FTY720 on S1P1, the recruitment of myeloid cells to the injured areas, limited by FTY720 but not by ozanimod, rather suggests the involvement of other receptor subtypes.
Directional-Sensor Network Deployment Planning for Mobile-Target Search
Authors: Wasim Shiraz , Kashino Zendai , Nejat Goldie , Benhabib Beno
Published: October 2020

In this paper, a novel time-phased directional-sensor network deployment strategy is presented for the mobile-target search problem, e.g., wilderness search and rescue (WiSAR). The proposed strategy uses probabilistic target-motion models combined with a variation of a standard direct search algorithm to plan the optimal locations of directional-sensors which maximize the likelihood of target detection. A linear sensing model is employed as a simplification for directional-sensor network deployment planning, while considering physical constraints, such as on-time sensor deliverability. Extensive statistical simulations validated our method. One such illustrative experiment is included herein to demonstrate the method’s operation. A comparative study was also carried out, whose summary is included in this paper, to highlight the tangible improvement of our approach versus three traditional deployment strategies: a uniform, a random, and a ring-of-fire type deployment, respectively.
Mapping Three Electromyography Signals Generated by Human Elbow and Shoulder Movements to Two Degree of Freedom Upper-Limb Robot Control
Authors: Laksono Pringgo Widyo , Matsushita Kojiro , Suhaimi Muhammad Syaiful Amri bin , Kitamura Takahide , Njeri Waweru , Muguro Joseph , Sasaki Minoru
Published: October 2020

This article sought to address issues related to human-robot cooperation tasks focusing especially on robotic operation using bio-signals. In particular, we propose to develop a control scheme for a robot arm based on electromyography (EMG) signal that allows a cooperative task between humans and robots that would enable teleoperations. A basic framework for achieving the task and conducting EMG signals analysis of the motion of upper limb muscles for mapping the hand motion is presented. The objective of this work is to investigate the application of a wearable EMG device to control a robot arm in real-time. Three EMG sensors are attached to the brachioradialis, biceps brachii, and anterior deltoid muscles as targeted muscles. Three motions were conducted by moving the arm about the elbow joint, shoulder joint, and a combination of the two joints giving a two degree of freedom. Five subjects were used for the experiments. The results indicated that the performance of the system had an overall accuracy varying from 50% to 100% for the three motions for all subjects. This study has further shown that upper-limb motion discrimination can be used to control the robotic manipulator arm with its simplicity and low computational cost.
Deep Dual-Modal Traffic Objects Instance Segmentation Method Using Camera and LIDAR Data for Autonomous Driving
Authors: Geng Keke , Dong Ge , Yin Guodong , Hu Jingyu
Published: October 2020

Recent advancements in environmental perception for autonomous vehicles have been driven by deep learning-based approaches. However, effective traffic target detection in complex environments remains a challenging task. This paper presents a novel dual-modal instance segmentation deep neural network (DM-ISDNN) by merging camera and LIDAR data, which can be used to deal with the problem of target detection in complex environments efficiently based on multi-sensor data fusion. Due to the sparseness of the LIDAR point cloud data, we propose a weight assignment function that assigns different weight coefficients to different feature pyramid convolutional layers for the LIDAR sub-network. We compare and analyze the adaptations of early-, middle-, and late-stage fusion architectures in depth. By comprehensively considering the detection accuracy and detection speed, the middle-stage fusion architecture with a weight assignment mechanism, with the best performance, is selected. This work has great significance for exploring the best feature fusion scheme of a multi-modal neural network. In addition, we apply a mask distribution function to improve the quality of the predicted mask. A dual-modal traffic object instance segmentation dataset is established using a 7481 camera and LIDAR data pairs from the KITTI dataset, with 79,118 manually annotated instance masks. To the best of our knowledge, there is no existing instance annotation for the KITTI dataset with such quality and volume. A novel dual-modal dataset, composed of 14,652 camera and LIDAR data pairs, is collected using our own developed autonomous vehicle under different environmental conditions in real driving scenarios, for which a total of 62,579 instance masks are obtained using semi-automatic annotation method. This dataset can be used to validate the detection performance under complex environmental conditions of instance segmentation networks. Experimental results on the dual-modal KITTI Benchmark demonstrate that DM-ISDNN using middle-stage data fusion and the weight assignment mechanism has better detection performance than single- and dual-modal networks with other data fusion strategies, which validates the robustness and effectiveness of the proposed method. Meanwhile, compared to the state-of-the-art instance segmentation networks, our method shows much better detection performance, in terms of AP and F1 score, on the dual-modal dataset collected under complex environmental conditions, which further validates the superiority of our method.
Mapping Freshwater Chlorophyll-a Concentrations at a Regional Scale Integrating Multi-Sensor Satellite Observations with Google Earth Engine
Authors: Wang Lei , Xu Min , Liu Yang , Liu Hongxing , Beck Richard , Reif Molly , Emery Erich , Young Jade , Wu Qiusheng
Published: October 2020

Monitoring harmful algal blooms (HABs) in freshwater over regional scales has been implemented through mapping chlorophyll-a (Chl-a) concentrations using multi-sensor satellite remote sensing data. Cloud-free satellite measurements and a sufficient number of matched-up ground samples are critical for constructing a predictive model for Chl-a concentration. This paper presents a methodological framework for automatically pairing surface reflectance values from multi-sensor satellite observations with ground water quality samples in time and space to form match-up points, using the Google Earth Engine cloud computing platform. A support vector machine model was then trained using the match-up points, and the prediction accuracy of the model was evaluated and compared with traditional image processing results. This research demonstrates that the integration of multi-sensor satellite observations through Google Earth Engine enables accurate and fast Chl-a prediction at a large regional scale over multiple years. The challenges and limitations of using and calibrating multi-sensor satellite image data and current and potential solutions are discussed.
Influence of Nivolumab for Intercellular Adhesion Force between a T Cell and a Cancer Cell Evaluated by AFM Force Spectroscopy
Authors: Kim Hyonchol , Ishibashi Kenta , Iijima Masumi , Kuroda Shun’ichi , Nakamura Chikashi
Published: October 2020

The influence of nivolumab on intercellular adhesion forces between T cells and cancer cells was evaluated quantitatively using atomic force microscopy (AFM). Two model T cells, one expressing high levels of programmed cell death protein 1 (PD-1) (PD-1high Jurkat) and the other with low PD-1 expression levels (PD-1low Jurkat), were analyzed. In addition, two model cancer cells, one expressing programmed death-ligand 1 (PD-L1) on the cell surface (PC-9, PD-L1+) and the other without PD-L1 (MCF-7, PD-L1−), were also used. A T cell was attached to the apex of the AFM cantilever using a cup-attached AFM chip, and the intercellular adhesion forces were measured. Although PD-1high T cells adhered strongly to PD-L1+ cancer cells, the adhesion force was smaller than that with PD-L1− cancer cells. After the treatment of PD-1high T cells with nivolumab, the adhesion force with PD-L1+ cancer cells increased to a similar level as with PD-L1− cancer cells. These results can be explained by nivolumab influencing the upregulation of the adhesion ability of PD-1high T cells with PD-L1+ cancer cells. These results were obtained by measuring intercellular adhesion forces quantitatively, indicating the usefulness of single-cell AFM analysis.
Magnetic Field Gradient-Based EKF for Velocity Estimation in Indoor Navigation
Authors: Zmitri Makia , Fourati Hassen , Prieur Christophe
Published: October 2020

This paper proposes an advanced solution to improve the inertial velocity estimation of a rigid body, for indoor navigation, through implementing a magnetic field gradient-based Extended Kalman Filter (EKF). The proposed estimation scheme considers a set of data from a triad of inertial sensors (accelerometer and gyroscope), as well as a determined arrangement of magnetometers array. The inputs for the estimation scheme are the spatial derivatives of the magnetic field, from the magnetometers array, and the attitude, from the inertial sensors. As shown in the literature, there is a strong relation between the velocity and the measured magnetic field gradient. However, the latter usually suffers from high noises. Then, the novelty of the proposed EKF is to develop a specific equation to describe the dynamics of the magnetic field gradient. This contribution helps to filter, first, the magnetic field and its gradient and second, to better estimate the inertial velocity. Some numerical simulations that are based on an open source database show the targeted improvements. At the end of the paper, this approach is extended to position estimation in the case of a foot-mounted application and the results are very promising.
Self-Adherent Biodegradable Gelatin-Based Hydrogel Electrodes for Electrocardiography Monitoring
Authors: Lee Yechan , Yim Sang-Gu , Lee Gyeong Won , Kim Sodam , Kim Hong Sung , Hwang Dae Youn , An Beum-Soo , Lee Jae Ho , Seo Sungbaek , Yang Seung Yun
Published: October 2020

Patch-type hydrogel electrodes have received increasing attention in biomedical applications due to their high biocompatibility and conformal adherence. However, their poor mechanical properties and non-uniform electrical performance in a large area of the hydrogel electrode should be improved for use in wearable devices for biosignal monitoring. Here, we developed self-adherent, biocompatible hydrogel electrodes composed of biodegradable gelatin and conductive polymers for electrocardiography (ECG) measurement. After incorporating conductive poly(3,4-ethylenedioxythiophene):poly(4-styrenesulfonate) (PEDOT:PSS) into gelatin hydrogels crosslinked by natural crosslinkers (genipin), the mechanical properties and electrical conductivity of the hydrogel electrodes were improved and additionally optimized by adjusting the amounts of crosslinker and PEDOT:PSS, respectively. Furthermore, the effect of dimethyl sulfoxide, as a dopant, on the conductivity of hydrogels was investigated. The gelatin-based, conductive hydrogel patch displayed self-adherence to human skin with an adhesive strength of 0.85 N and achieved conformal contact with less skin irritation compared to conventional electrodes with a chemical adhesive layer. Eyelet-type hydrogel electrodes, which were compatible with conventional ECG measurement instruments, exhibited a comparable performance in 12-lead human ECG measurement with commercial ECG clinical electrodes (3M Red Dot). These self-adherent, biocompatible, gelatin-based hydrogel electrodes could be used for monitoring various biosignals, such as in electromyography and electroencephalography.
Microfluidics in Gas Sensing and Artificial Olfaction
Authors: Rebordão Guilherme , Palma Susana I. C. J. , Roque Ana C. A.
Published: October 2020

Rapid, real-time, and non-invasive identification of volatile organic compounds (VOCs) and gases is an increasingly relevant field, with applications in areas such as healthcare, agriculture, or industry. Ideal characteristics of VOC and gas sensing devices used for artificial olfaction include portability and affordability, low power consumption, fast response, high selectivity, and sensitivity. Microfluidics meets all these requirements and allows for in situ operation and small sample amounts, providing many advantages compared to conventional methods using sophisticated apparatus such as gas chromatography and mass spectrometry. This review covers the work accomplished so far regarding microfluidic devices for gas sensing and artificial olfaction. Systems utilizing electrical and optical transduction, as well as several system designs engineered throughout the years are summarized, and future perspectives in the field are discussed.