Miracle-dz/UniFAR-FTUs huggingface dataset:
Supercritical Carbon Dioxide Decellularized Bone Matrix Seeded with Adipose-Derived Mesenchymal Stem Cells Accelerated Bone Regeneration

Large bone fractures with segmental defects are a vital phase to accelerate bone integration. The present study examined the role of supercritical carbon dioxide (scCO2) decellularized bone matrix (scDBM) seeded with allogeneic adipose-derived mesenchymal stem cells (ADSC) as bio-scaffold for bone regeneration. Bio-scaffold produced by seeding ADSC to scDBM was evaluated by scanning electron microscopy (SEM). Rat segmental femoral defect model was used as a non-union model to investigate the callus formation in vivo. Histological analysis and osteotomy gap closure in the defect area were analyzed at 12 and 24 weeks post-surgery. Immunohistochemical expression of Ki-67, BMP-2 and osteocalcin was evaluated to assess the ability of new bone formation scDBM. ADSC was found to attach firmly to scDBM bioscaffold as evidenced from SEM images in a dose-dependent manner. Callus formation was observed using X-ray bone imaging in the group with scDBM seeded with 2 × 106 and 5 × 106 ASCs group at the same time-periods. H&E staining revealed ASCs accelerated bone formation. IHC staining depicted the expression of Ki-67, BMP-2, and osteocalcin was elevated in scDBM seeded with 5 × 106 ASCs group at 12 weeks after surgery, relative to other experimental groups. To conclude, scDBM is an excellent scaffold that enhanced the attachment and recruitment of mesenchymal stem cells. scDBM seeded with ASCs accelerated new bone formation.
Diet Quality Assessment in Wheelchair Users with Multiple Sclerosis

Background: Diet quality has not been distinctively examined in wheelchair users with multiple sclerosis (MS). Methods: This cross-sectional study examined the Diet History Questionnaire (DHQ) III and the Automated Self-Administered 24-h (ASA24) Dietary Assessment Tool in 128 wheelchair users with MS. Participants were prompted to complete the DHQ-III and 3 ASA24 recalls during a seven-day data collection period. Healthy Eating Index (HEI)-2015 scores were calculated for DHQ-III and ASA24, and scores were compared with normative values. Spearman’s correlation analyses (rs) estimated the associations between DHQ-III and ASA24 HEI-2015 total and component scores with supportive paired sample t-tests. Results: HEI-2015 scores for DHQ-III and ASA24 were significantly higher than normative values for total score, total protein foods, and added sugar. Correlations between HEI-2015 scores generated using ASA24 and DHQ-III were all statistically significant (range rs = 0.23–0.69); however, significant differences between ASA24 and DHQ-III values were noted for HEI-2015 total score, total fruits, whole fruit, total vegetable, greens and beans, whole grains, seafood and plant protein, refined grains, and saturated fats. Conclusion: This study provided a novel description of diet quality in wheelchair users with MS for guiding future research promoting healthy eating in this population.
Two-Dimensional Behavior-Marker-Based Data Forwarding Incentive Scheme for Fog-Computing-Based SIoVs

In social Internet of Vehicles (SIoVs), vehicles can usually act as data-relaying nodes to forward data. However, vehicle nodes often show their personal and social selfishness in data forwarding (namely vehicle nodes are not willing to forward data), whose selfishness greatly influences the delivery ratio of data forwarding. In this article, we propose a 2-D behavior-marker-based data-forwarding incentive scheme to motivate vehicle nodes to participate in data forwarding in fog-computing-based SIoVs. First, we design a 2-D behavior marker mechanism, which can be used to completely evaluate vehicle nodes. Second, we construct a currency credit-based data-forwarding incentive strategy based on the 2-D marker and the social attributes of vehicle nodes, which is used to deal with vehicular normal behavior, vehicular selfish behavior, and vehicular malicious behavior. Compared with other related schemes, our proposed scheme can completely evaluate the behaviors of vehicle nodes and can further promote the cooperation of data-forwarding between selfish nodes. The experimental results show that our scheme is more efficient and stable in data forwarding in fog-computing-based SIoVs.
Novel efficient method for inductance calculation of inductors with optimized layout: Research Articles

In this article, we consider the computing of conformal modules and their application for inductance calculation of spiral inductors with optimized layout. We present a novel and efficient method for inductance and quality factor calculation of inductors with a variable conductor width. The computed inductance is compared with earlier published experimental data and very good agreement is achieved. © 2006 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2006.
Time, resourcing, and ethics: how the routinisation of organ donation after circulatory death in the NHS has created new ethical issues

ABSTRACT Controlled Organ Donation after Circulatory Death (DCD) was re-introduced in the UK in 2008, in efforts to increase rates of organs for transplant. Following reintroduction there were debates about the ethics of DCD, leading to production of legal and ethical guidelines. Today, DCD makes up 40% of deceased organ donors, leading to claims that the UK has ‘overcome’ its ethical challenges. However, there is little understanding of how DCD works in practice and the ethical implications of making DCD routine in the context of the NHS. This paper draws on data from an ethnographic study examining the practices of DCD in two acute NHS Trusts in England. Interviews with Intensive Care staff and Specialist Nurses in organ donation, observations of organ donation committee meetings and analysis of Trust documents were conducted. Findings reveal that the routinisation of DCD has created new ethical issues relating to interactions between organisational timeframes for DCD and (under)resourcing for, and de-prioritisation of, donation within an NHS subject to austerity. They include: the perceived burden on families and implications for consent when there are delays in the donation process, due to theatre space and retrieval team shortages; family and staff distress when death does not happen ‘on time’; and the problem of where to take patients who do not die in time to donate. I argue these temporal-ethical issues are likely to become heightened as potential donor rates increase with the new opt-out legislation, unless the resourcing required to deal with these problems are also addressed.
A Cork Cell Wall Approach To Swelling And Boiling

The bark of cork oak (Quercus suber L.) is mostly used for cork stopper production, whereas bark is undergoing a series of industrial procedures, boiling usually leading to changes in the characteristics of the tissue. Trees are traditionally grown under natural conditions; however, irrigation is now being used in plantations. These permanent water availability affects cork-oak development, while its effects on industrial procedures is unknown. This study provides a first insight into the behaviour of the cell walls of cork during the process of swelling and boiling when trees have been grown under irrigation, subject to a specific water regime. Cork tissue was analysed using environmental and scanning electron microscopy under three regimes: raw conditions; following immersion in water; and after boiling. Additionally, the radial expansion of samples was determined. The results showed greater cell-wall expansion in cork from the irrigated site than cork from the traditional rainfed plot, when hydrated for 24h. After boiling, the cell walls of the rainfed site were thinner than in the raw stage, in contrast to the irrigated cork. This study suggests that irrigation during cork-oak growth produces a higher capacity for adsorption, increasing cell-wall thickness from the raw stage to the boiling stage.
Application Perspective on Cybersecurity Testbed for Industrial Control Systems

In recent years, the Industry 4.0 paradigm has accelerated the digitalization process of the industry, and it slowly diminishes the line between information technologies (IT) and operational technologies (OT). Among the advantages, this brings up the convergence issue between IT and OT, especially in the cybersecurity-related topics, including new attack vectors, threats, security imperfections, and much more. This cause raised new topics for methods focused on protecting the industrial infrastructure, including monitoring and detection systems, which should help overcome these new challenges. However, those methods require high quality and a large number of datasets with different conditions to adapt to the specific systems effectively. Unfortunately, revealing field factory setups and infrastructure would be costly and challenging due to the privacy and sensitivity causes. From the lack of data emerges the new topic of industrial testbeds, including sub-real physical laboratory environments, virtual factories, honeynets, honeypots, and other areas, which helps to deliver sufficient datasets for mentioned research and development. This paper summarizes related works in the area of industrial testbeds. Moreover, it describes best practices and lessons learned for assembling physical, simulated, virtual, and hybrid testbeds. Additionally, a comparison of the essential parameters of those testbeds is presented. Finally, the findings and provided information reveal research and development challenges, which must be surpassed.
Liver Image Segmentation Using Improved Watershed Method

This paper introduces an improved watershed algorithm for liver image segmentation. Medical images have complicated structure and the soft tissues have deformation sometimes. To exactly conduct the following image registration or surgery navigation, the image segmentation must identify the changes quickly and accurately. Watershed algorithm has fast speed and good edge location for complex structure, but it is sensitive to noise and has the over-segmentation problem. In this paper, pre-processing and post-processing methods are proposed during watershed segmentation procedure. According to the thresholds of region area and gray difference between adjacent regions, the image noise is reduced at pre-processing stage and the over-segmented regions are merged at post-processing part. Through the experiment of two similar liver images, we can see the segmented images have clear outline and the difference of two images can be identified obviously.
A Complete User Authentication and Key Agreement Scheme Using Cancelable Biometrics and PUF in Multi-Server Environment

With the current development and popularization of biometrics recognition technology, our biometrics and other identity information may be illegal bulk scalping, and there is the possibility of being used for false enrolment, network fraud and other illegal criminal activities. Although some network platforms based on biometrics recognition adopt multi-identity authentication, network hacking technology is also improving constantly. Therefore, we must not ignore the importance of biometrics data protection. To this end, we propose a complete user authentication protocol and key agreement scheme based on cancelable biometrics and physical unclonable function (PUF). Firstly, cancelable biometrics are generated by efficient biometrics fusion processing which called “PUF-TTM” (Template Transformation Method) using a PUF embedded into the device. Then based on Biometrics-as-a-Service (BaaS) model and secret sharing technology, a complete authentication protocol in multi-server environment is designed, and the robustness, effectiveness and security of our proposed scheme are ensured from the perspective of performance and security analysis.
The Implementation of Moodle in Online Learning during Covid-19 Pandemic: EFL Undergraduate Students’ Perception

Education sector has been much affected by the presence of the Corona Virus Disease (COVID-19). The presence of the COVID-19 has brought tremendously significant shifts in teaching and learning process in higher education. The abrupt shift from in person contexts to remote learning has a huge impact in the way traditional higher education institutions deliver their courses to the students. This quantitative study seeks to uncover the undergraduate students’ perception on their online learning during the COVID-19 pandemic period. Randomly selected, the present study involved (N=75 students) from English Study Program Universitas Katolik Indonesia Santu Paulus Ruteng. The instrument used was a 4-point Likert Scale questionnaire which consisted of twenty closed-ended items. The results of the present study have discovered that students’ perception towards the implementation of Moodle for their online learning was categorized as moderate level. The findings of this study have shed lights on pedagogical practices of teachers when implementing computer mediated learning tools in online class.
A method to derive an equation for the oscillation frequency of a ring oscillator

A new method for deriving an equation for the oscillation frequency of a ring oscillator is proposed. The method is general enough to be used for a variety of types of delay stages. Furthermore, it provides a framework to include various parasitic and secondary effects. The method is used to derive an equation for a common ring oscillator topology. The validity of the method and the resulting equation have been verified through simulation. The oscillation frequencies predicted by the proposed method are more accurate than existing equations and account for more secondary effects.
Model Predictive Control Based Demand Response Scheme for Peak Demand Reduction in a Smart Campus Integrated Microgrid

This paper presents an effective solution to manage the power flows exchanges in a campus integrated microgrid for peak reduction/shaving purposes. The campus integrated microgrid is composed of photovoltaic parking shades, an energy storage system, electric vehicles and bikes, loads, an advanced metering infrastructure, and a smart control unit. The latter is based on Model Predictive Control (MPC) whose objective is to reduce/shave the peak load of the campus while satisfying the Energy Storage System ESS, electrical Vehicles (EVs) and Electrical Bikes (EBs) state of charge. The proposed strategy aims to take the advantage of combining storage and photovoltaic (PV) systems to Vehicle to Campus (V2C) and Bike to Campus (B2C) concepts to support the microgrid to pay the minimum billing power while ensuring a good service quality to the EVs and EBs users. For that, the integration of the renewable energy sources and the different storage systems into the microgrid is modeled, and the MPC-based optimization framework is formulated. Besides, the results related to the application of the MPC to real case studies are presented, integrating the effects of static and dynamic weighting factors on the microgrid operation.
Measuring online self-regulated learning among early-career medical doctors in a Massive Open Online Course on COVID-19

Introduction: As significant autonomy is given in a Massive Open Online Course (MOOC), online self-regulated learning (SRL) ability is crucial in such courses. We aim to measure the online SRL abilities of early-career medical doctors enrolled in a MOOC. Methods: We performed a cross-sectional study using the Self-Regulated Online Learning Questionnaire-revised version (SOL-Qr). We conducted a three-stage cross-cultural validation of the SOL-Qr, followed by Confirmatory Factor Analysis (CFA). The online SRL ability of 5,432 medical doctors enrolled in a MOOC was measured using the validated SOL-Qr. Results: The CFA of the cross-translated SOL-Qr confirmed its comparability to the original version, with excellent validity & reliability. Participants showed high levels of online SRL during their early careers. Despite high online SRL scores, MOOC completion rate was low. Male participants showed slightly better time management ability than female participants. Participants working in the primary epicentrum for COVID-19 in the country showed lower online SRL scores, while participants who graduated from higher accreditation levels showed better time management ability. Conclusion: The SOL-Qr and its subscales are suitable and valid for measuring the online SRL abilities of medical doctors in a MOOC during their early-career period. Time management ability was associated with previous experience during the medical education period, while other online SRL subscales were mostly associated with workload. However, as the scores did not correlate with the time spent for learning in MOOC, the corresponding learning effort or time spent may be beyond just the commitment to the described MOOC.
FUZZY RADIAL BASIS FUNCTION (FRBF) NETWORK BASED TOOL CONDITION MONITORING SYSTEM USING VIBRATION SIGNALS

Thriving automation in industries leads to more research on the tool condition monitoring systems for better accuracy and fast recognition/evaluation of tool wear. Research on the applicability of the new advances in the soft-computing as well as in the signal processing fields is the inevitable consequence. In this work, a new soft-computing modeling technique, fuzzy radial basis function (FRBF) network has been applied to the prediction of drill wear using the vibration signal features. This work presents the wear prediction performance comparison of this new model with three other already tried and established soft-computing models, such as back propagation neural network (BPNN), radial basis function network (RBF) and normalized radial basis function network (NRBF), for both time-domain as well as wavelet packet approaches of feature extraction. Experimental results show that FRBF model with wavelet packet approach produces the best performance of predicting flank wear.
Offshore Deployment of Point Absorbing Wave Energy Converters With a Direct Driven Linear Generator Power Take-Off at the Lysekil Test Site

Within the year 2013, four linear generators with point absorber buoy systems were deployed in the Lysekil test site. Until now, deployments of these point absorbing wave energy converters have been expensive, time consuming, complicated and raised safety issues. In the present paper, we focus on the analysis and optimization of the offshore deployment process of wave energy converters with a linear generator power take-off which has been constructed by Uppsala University. To address the crucial issues regarding the deployment difficulties, case study of previous offshore deployments at the Lysekil test site are presented regarding such parameters as safety, cost and time efficiency. It was discovered that the deployment process can be improved significantly, mainly by using new technologies, e.g., new specialized deployment vessels, underwater robots for inspections and for connecting cables and an automatized pressurizing process. Addressing the main deployment difficulties and constrains leads us to discovery of methods that makes offshore deployments more cost-efficient and faster, in a safety context.
Certification intensity level of the leading nations in ISO 9000 and ISO 14000 standards

Purpose – As the process of standardisation in all aspects of business management has accelerated in recent years in an environment characterised by economic globalisation and integration, two series of standards issued by the International Organisation for Standardisation (ISO) stand out: the ISO 9000 series, related to the implementation of quality systems; and the ISO 14000 series, related to the implementation of environmental management systems. The purpose of this paper is to analyse and compare the evolution of both standards in the leading countries in these certifications.Design/methodology/approach – It is noteworthy that the same few nations consistently occupy the highest rankings in both the number of ISO 9000 and ISO 14000 series certifications. These countries are also those with highest growth rates in certifications. The present study examines these phenomena in terms of: a proposed new index for measuring the “certification intensity”; and a proposed model to analyse how standards are di.
Prenatal folic acid supplementation and folate status in early pregnancy: ECLIPSES study

Abstract This research evaluates the prevalence of inadequate folate status in early pregnancy, the pattern of prenatal folic acid (FA) supplementation and associated factors in Spanish pregnant women from the ECLIPSES study, which included 791 participants prior gestational week 12. A cross-sectional evaluation of erythrocyte folate levels was performed at recruitment and used to calculate the prevalence of folate deficiency (erythrocyte folate < 340 nmol/l) and insufficiency (erythrocyte folate < 906 nmol/l). Sociodemographic and lifestyle data as well as information on prenatal FA supplementation were recorded. Descriptive and multivariate statistical analyses were performed. The prevalence of folate deficiency and insufficiency were 9·6 % and 86·5 %, respectively. Most of women used prenatal FA supplements, but only 6·3 % did so as recommended. Supplementation with FA during the periconceptional period abolished folate deficiency and reduced folate insufficiency. Prenatal FA supplementation with ≥1000 µg/d in periconceptional time and pregnancy planning increased erythrocyte folate levels. The main risk factor for folate insufficiency in early pregnancy was getting prenatal FA supplementation out of the periconceptional time (OR 3·32, 95 % CI 1·02, 15·36), while for folate deficiency they were young age (OR 2·02, 95 % CI 1·05, 3·99), and smoking (OR 2·39, 95 % CI 1·30, 4·37). In addition, social and ethnic differences according to folate status were also identified. As conclusion, periconceptional FA use is crucial for achieving optimal folate levels in early pregnancy. Pregnancy planning should focus on young women, smokers, those with low consumption of folate-rich foods, low socio-economic status or from ethnic minorities.
Association Between Intimate Partner Violence and Depressive Symptoms among Women Aged 15 to 45 Years in Peru: A Three-Year Analysis of the Demographic and Health Survey

We conducted a secondary data analysis based on the 2014, 2015, and 2016 Demographic and Health Surveys to determine the association between intimate partner violence (IPV) and depressive symptoms in Peruvian women aged 15–45 years. Depressive symptoms were assessed through the PHQ-9, while IPV was assessed through the CTS-2. A total of 24,099 subjects were included. The prevalence of depressive symptoms and IPV was 6.98% and 64.72%, respectively. Victims of IPV were 2.47 times more likely to have depressive symptoms compared to those who were never assaulted. In conclusion, there is a strong association between IPV and depressive symptoms.