Miracle-dz/UniFAR-FTUs huggingface dataset:
Toughening and Healing of CFRPs by Electrospun Diels–Alder Based Polymers Modified with Carbon Nano-Fillers

In the present investigation, thermo-reversible bonds formed between maleimide and furan groups (Diels–Alder (DA)-based bis-maleimides (BMI)) have been generated to enable high-performance unidirectional (UD) carbon fiber-reinforced plastics (CFRPs) with self-healing (SH) functionality. The incorporation of the SH agent (SHA) was performed locally, only in areas of interest, with the solution electrospinning process (SEP) technique. More precisely, reference and modified CFRPs with (a) pure SHA, (b) SHA modified with multi-walled carbon nano-tubes (MWCNTs) and (c) SHA modified with graphene nano-platelets (GNPs) were fabricated and further tested under Mode I loading conditions. According to experimental results, it was shown that the interlaminar fracture toughness properties of modified CFRPs were considerably enhanced, with GNP-modified ones to exhibit the best toughening performance. After the first fracture and the activation of the healing process, C-scan inspections revealed, macroscopically, a healing efficiency (H.E.) of 100%; however, after repeating the tests, a low recovery of mechanical properties was achieved. Finally, optical microscopy (OM) examinations not only showed that the epoxy matrix at the interface was partly infiltrated by the DA resin, but it also revealed the presence of pulled-out fibers at the fractured surfaces, indicating extended fiber bridging between crack flanks due to the presence of the SHA.
Factors Influencing Behavioural Intention of Farmers to Use E-Learning Module on Climate-Smart Horticulture in Arunachal Pradesh

The study developed a theoretical model based on the technology acceptance model (TAM) called the e-learning acceptance model (ELAM) during 2020. Using structural equation modelling (SEM), farmers’ behavioural intention to use (BIU), an e-learning module on Climate-Smart Horticulture was investigated. The facilitating condition, followed by perceived ease of use, attitude toward e-learning, and self-efficacy, was found to be the most influential predictor of behavioural intention to use an e-learning module by the structural equation model (SEM). The endogenous variable BIU having R2 value of 0.62 indicated that the exogenous variables viz., FC (Facilitating Condition), PEU (Perceived Ease of Use), ATT (Attitude toward e-learning) and SE (Self-Efficacy) had jointly explained and predicted 62 per cent of accuracy on BIU in ELAM.
Low-complexity implementation of parallel receiver for terahertz communication system

In this paper, we propose a low-complexity implementation of parallel receiver for high-speed terahertz communication systems, where a parallel timing recovery module and a parallel equalization module are considered. To reduce the hardware cost in timing recovery module, we introduce a ROM-based parallel interpolator and a modified parallel timing error detector, which reduce time delays, lookup tables (LUTs) and digital signal processor (DSP) slices by 25%, 26%, and 36%, respectively. On the other hand, a matched filter with minimum taps is inserted into the timing recovery loop, which reduces the hardware cost compared to the matched filter placed outside the timing recovery loop. To validate the performance of our improved parallel receiver, a fixed-point simulation is performed on MATLAB platform. Moreover, an 8Gbps 16QAM parallel receiver using our improved timing recovery module is implemented on the Xilinx ZCU111 evaluation board running at the frequency of 128MHz. The simulation and implementation results show that our improved parallel receiver has a superior bit error rate (BER) performance and a low implementation complexity.
Semisupervised Feature Extraction of Hyperspectral Image Using Nonlinear Geodesic Sparse Hypergraphs

Recently, the sparse representation (SR)-based graph embedding method has been extensively used in feature extraction (FE) tasks, but it is hard to reveal the complex manifold structure and multivariate relationship of samples in the hyperspectral image (HSI). Meanwhile, the small size sample problem in HSI data also limits the performance of the traditional SR approach. To tackle this problem, this article develops a new semisupervised FE algorithm called a geodesic-based sparse manifold hypergraph (GSMH). The presented method first utilizes the geodesic distance to measure the nonlinear similarity between samples lying on manifold space and further constructs the manifold neighborhood of each sample. Then, a geodesic-based neighborhood SR (GNSR) model is designed to explore the multivariate sparse correlations of different manifold neighborhoods. Considering the multivariate sparse manifold correlations among samples, a pair of semisupervised hypergraphs (HGs) is constructed to effectively incorporate the labeled and unlabeled training information in the embedding process and obtain the nonlinear discriminative feature representation for HSI. Experimental results on three HSI datasets indicate that the proposed method not only achieves satisfying FE performance with limited labeled training samples but also shows superiority compared with other state-of-the-art methods.
Influence of Service Quality Dimensions of Islamic Banks on Customer Satisfaction and Their Impact on Customer Loyalty

ABSTRACTStrengthening Islamic banking funding is one of particular strategies in the Indonesian Islamic banking master plan for 2019-2024, as one of their expected outputs is to increase market share and customer satisfaction of Islamic banks. This study aims to identify influence of service quality dimensions on customer satisfaction and their impacts on customer loyalty in Islamic banks in Indonesia. This study used a quantitative approach. Its data were collected by an online questionnaire with five Likert scales randomly given to 136 customers from several Islamic banks who had direct transactions at the Islamic banks. The sampling technique of this study used a purposive sampling technique, and its analysis technique used Structural Equation Modeling based on Partial Least Square (SEM-PLS). The findings of this paper indicate that the dimensions of both compliance and responsiveness have significant influence on customer satisfaction and customer loyalty. Meanwhile, assurance, reliability, and empathy dimensions have no significant impacts on customer satisfaction and customer loyalty. Tangible dimension has significant influence on customer satisfaction but has no significant influence on customer loyalty. Customer satisfaction has a significant impact on customer loyalty.Keywords: Islamic bank, CARTER model, customer satisfaction, customer loyalty
Living with Earthquakes: Educating masses through earthquake awareness: North East (NE) India perspective

Earthquake is one of the most frightening and destructive phenomena of nature. The northeast India region, as well as its adjoining South-Asian neighbours including Myanmar and Bangladesh, is tectonically and seismically most active. The region categorized under the highest level of seismic hazard potential: Zone V, of the seismic zonation map of India, has experienced nearly 22 large (M ≥7.0) and two great earthquakes (M S ∼ 8.7) in the past 130 years. All these earthquakes caused wide-spread damage over the region. In the recent past, with rapid urbanization combined with a significant population rise as compared to those times when these great/large earthquakes occurred, the seismic vulnerability index has increased manifold. The situation demands widespread dissemination of seismic hazard and preparedness information via community engagement and highlighting on potentially tragic consequences of earthquakes by conducting extensive mock drill exercises & earthquake awareness programmes. In this paper, the role and efforts of the statuary bodies in the region, such as National Disaster Management Authority (NDMA) and CSIR – Northeast Institute of Science and Technology (NEIST) and societal program of Academy of Scientific and Innovative research, to mitigate and minimize seismic hazard by extensive dissemination of earthquake information, via scientific scenario and impact assessment, is holistically compiled.
Does daytime sleepiness alter visual memory in schoolchildren aged 9 to 11 at different times during the school semester?

Daytime sleepiness could reduce the memorization of children who are in school. Thus, the aim of this study was to study the effect of daytime sleepiness on the visual memory of schoolchildren at different times during the school semester. Individuals of both genders (n = 88) aged 9 to 11 years and regularly enrolled at the Mariana Amália Municipal School were selected. Data collection occurred in two moments: at the beginning and end of the academic semester. A semi-structured questionnaire was used to collect sociodemographic information, the Epworth Sleepiness Scale to assess sleepiness and the Rey-Osterrieth complex figure, object recall, scrambling figures and addition of dictated numbers for memory analysis tests. The data revealed that there is no direct relationship between sleepiness and impaired memory by the tests used in any of the analyzed moments. However, children showed lower visuospatial memory efficiency at the beginning of the school semester, indicating that they may have greater difficulty in memory retention. Lastly, there was an abnormality in the degree of sleepiness at the end of the school semester and the female gender showed efficiency in immediate and late memory.
Rapport in the Foreign Language Classroom: From Face-to-Face to Online in Times of Pandemic

As shown in previous studies, positive teacher and student rapport increases motivation and performance in foreign language learning. This study investigated the impact of three forms of interaction on the development of teacher-student and student-student relationships in a Spanish as a Foreign Language classroom that transitioned from face-to-face (FtoF) to online due to the emergence of the covid- 19 pandemic. These forms of interaction were positive comments, corrective feedback, and personal thematic discourse. The participants were students from six different beginner-level Spanish courses at a university in Hawai’i. Because of covid restrictions, half of the semester was conducted FtoF and half online. Data were collected through a three-part questionnaire with open and closed-ended questions which explored the impact of the online and FtoF setting and forms of interaction on rapport. The results reveal the importance of corrective feedback and positive comments on the development of positive teacher-student rapport, and of positive comments and personal thematic discourse on student-student rapport. The study suggests the need to bring qualities from the FtoF classroom to online, such as a sense of a more personal experience, ability to connect, ease in asking questions, receiving feedback, and greater interaction.
Individual and Combined Cardiometabolic Morbidities and the Subsequent Risk of Cardiovascular Events in Chinese Adults: The China Cardiometabolic Disease and Cancer Cohort Study

Background The data regarding the association between main cardiometabolic morbidities such as diabetes, hypertension, and dyslipidemia and the subsequent risk of CVD events in Chinese adults are still limited. Therefore, we investigated the associations between individual and combined cardiometabolic morbidities and incident cardiovascular events in Chinese adults.Methods The China Cardiometabolic Disease and Cancer Cohort Study was a prospective, nationwide, and population-based cohort study of 20 Chinese communities from various geographic regions. A comprehensive set of questionnaires, clinical measurements, oral glucose tolerance tests (OGTTs), and laboratory examinations were carried out at baseline (2011-2012) and follow-up visits (2014-2016). 133572 participants aged ≥ 40 years who were free from cardiovascular disease (CVD) at baseline were included in the study.Results Compared with participants without diabetes, hypertension and dyslipidemia, participants with only diabetes (hazard ratio [HR], 1.58; 95% confidence interval [CI], 1.32-1.90) or only hypertension (2.04; 1.82-2.28) exhibited significantly higher risk for CVD events, while participants with only dyslipidemia (0.97; 0.84-1.12) exhibited no significantly higher risk for CVD events. When analyzed collectively, participants with diabetes plus hypertension (HR, 2.67; 95%CI, 2.33-3.06), diabetes plus dyslipidemia (1.57; 1.32-1.87), and hypertension plus dyslipidemia (2.12; 1.88-2.39) exhibited significantly higher risk for CVD events. Moreover, participants with the combination of diabetes, hypertension and dyslipidemia exhibited the highest risk for CVD events (HR, 3.06; 95%CI, 2.71-3.46). Multivariable-adjusted HRs (95% CIs) for CVD associated with diabetes based on fasting glucose ≥7.0 mmol/L, OGTT-2h glucose ≥11.1 mmol/L, and hemoglobin A1c ≥6.5% were 1.64 (1.51-1.78), 1.57 (1.45-1.69), and 1.54 (1.42-1.66), respectively; associated with hypertension based on systolic blood pressure ≥140 mmHg and diastolic blood pressure ≥90 mmHg were 1.89 (1.76-2.03) and 1.74 (1.60-1.88), respectively; associated with dyslipidemia based on total cholesterol ≥6.22 mmol/L, low-density lipoprotein cholesterol ≥4.14 mmol/L, high-density lipoprotein cholesterol <1.04 mmol/L, and triglycerides ≥2.26 mmol/L were 1.18 (1.08-1.30), 1.30 (1.17-1.44), 1.00 (0.92-1.09), and 1.10 (1.01-1.20), respectively. ConclusionsDiabetes, hypertension and dyslipidemia showed additive associations with the risk of CVD events in middle-aged and elderly Chinese adults.
Soil Response to Agricultural Land Abandonment: A Case Study of a Vineyard in Northern Italy

Agricultural land abandonment is an emerging problem in European Union (EU), and about 11% of agricultural EU land is at high risk of abandonment in the coming 10 years. Land abandonment may have both positive and negative effects in ecosystems. Due to the potential for land abandonment to increase soil fertility, the study of vegetation succession effects on soil quality is of great importance. In this study, we investigated an abandoned vineyard where, after a period of 30 years, rows and alleys were characterized by two different forms of vegetation succession: natural recolonization by trees along the rows and by herbaceous vegetation in the alleys. No-tilled alleys covered by herbaceous vegetation of a neighboring conventionally cultivated vineyard were used as a comparison. Soil samples were chemically characterized (pH, extractable element, and available and total metals), and analyzed for the determination of carbon (C) and nitrogen (N) pools; hydrolytic and phenol oxidizing (PO) enzyme activities involved in C, N, and phosphorus (P) cycles; and the enzyme ratios. Results highlighted that natural recolonization by trees increased the organic C and N soil pools by 58% and 34%, respectively, compared to the natural recolonization by herbaceous vegetation. Moreover, natural recolonization by trees reduced β-glucosidase by 79%, urease by 100%, alkaline phosphastase by 98%, acid phosphatase specific hydrolytic activities by 50%, and catechol oxidase and laccase specific oxidative activities by 127% and 119%, respectively, compared to the renaturalization by herbaceous vegetation. In addition, the natural recolonization by trees reduced the C (βglu):C (PO) enzymes ratio by 16% compared to that of the conventional vineyard. Comparing the natural recolonization by herbaceous vegetation with that of the conventional vineyard revealed little significant difference (15% of the measured and calculated parameters); in particular, PO activities significantly decreased in the renaturalized vineyard with herbaceous vegetation by 49% (catechol oxidase) and 52% (laccase), and the C (βglu):C (PO) enzyme ratio showed a reduction (−11%) in the vineyard naturally recolonized by herbaceous vegetation compared to the conventional vineyard. This highlights that the type of vegetation succession that takes place after land abandonment may have a significant impact in terms of soil fertility and C accrual potential. These results help to focus attention on the practices used in agro-forestry that should be adopted in abandoned agro-ecosystems to increase their biodiversity, soil C stock, and soil quality, because these indicators are affected by the type of vegetative coverage.
A Hybrid Algorithm for Changepoint Aware Long-Term Seasonality Detection of Mobile Network Base Stations

Automated capacity planning for mobile networks requires long-term forecasting of traffic demand by using historical patterns. To decide the correct time of investment and correct capacity expansion size or to improve the accuracy of forecasting algorithms with exogenous features, both seasonal decomposition, and seasonal period identification improves decision accuracy. We design a hybrid algorithm to calculate these features on live network data with improved accuracy which uses piecewise Seasonality Trend Decomposition with Loess (STL) decomposition and Prophet library’s regression with Laplace prior under the hood. Combining both methods with the awareness of their weak and strong parts and leveraging overall output with changepoint and similarity analysis help us to improve our accuracy around 18.6% comparing the average of single usage of these methods. We also provide and present some special cases that increase problem complexity and decrease decomposition accuracy.
Automatic Hand Sanitizer Dispenser with COVID-19 Live Updates

The automatic hand sanitizer dispensing machine is a machine controlled instrument. It is a non-contact, alcohol is the solvent primarily based hand sanitizer. This instrument is used in hospitals, workplaces, offices, intuitions and etc. Alcohol is the largest used solvent with compared to any other. Alcohol is the disinfected compared to the soap or any other solid soap and it does not require water to clean it because it is a volatile in the nature and evaporates initially when we apply to our hands. Reports says that alcohol level is high in killing the corona virus in our hands. The concentration of the alcohol is greater than 70 percentage.
A Survey on Security Attacks with Remote Ground Robots

Contemporary healthcare systems contain diverse computing devices that construct very complex systems to manage patients‘ data more efficiently. Connected computing devices, such as the Internet of Things (IoT) that may have limited processing powers, have contributed more than ever with the advent of wearable body area networks (WBAN). These devices are connected to other medical devices to share sensitive health data with corresponding entities like hospitals, research institutions, and insurance companies. Since health data are very sensitive, they should be always available to authorized entities and unavailable to other entities. Moreover, COVID-19 pandemic has added additional value to health data which case increases cyber-attacks on (Electronic health) E-health systems with different tools dramatically. In this paper, several cyber-attacks on E-health systems are explored. Particularly, we have focused on attacks to IoT based wearable health devices for body area networks. The paper contains the architecture of wearable health devices to show the potential attack surface. One of the main contributions of the paper is to present cyber-attacks on wearable e-health devices with ground robots. A tactical ground robot is portable devices that may be used to carry out several cyber-attacks on E-health systems. Moreover, the paper contains analyses of the attacks with ground robots. © 2021, TUBITAK. All rights reserved.
Job quality trajectories among baby-boomers in Germany and their consequences for the motivation to work – results from the lidA cohort study

Abstract In light of a large proportion of older workers leaving the German labour market in the near future, policy makers aim to extend working lives to ensure sustainability of the social security system. In this context, safe and healthy working conditions are considered a precondition for encouraging employment participation. To understand better the role of the work environment in pre-retirement years, we draw upon an established model of five job quality profiles for the German ageing workforce. We explored seven-year profile development and linked selected manual and non-manual job quality trajectories to the motivation to work (MTW) using data from the 2011, 2014 and 2018 assessments of the lidA cohort study (valid N = 2,863). We found that older workers shifted to physically less-demanding profiles. Individual profile stability was prevalent among one-third of the workers. In 2018, there was a higher MTW when job quality remained favourable or improved early, while later improvements were associated with lower MTW. Early deterioration of job quality was associated with lower MTW levels among workers with non-manual trajectories only. The results highlight the dynamic job quality situation of the older German workforce and the importance of adopting a person-centred perspective when investigating working conditions and its effects. They further underline the need to consider quality of work when designing and implementing strategies to extend working lives.
The Hole Size that the Japanese Marten (Martes melampus) can Pass through

Abstract. The Japanese marten (Martes melampus) invades houses through holes and causes excrement problems. These holes should be covered to prevent the marten's intrusion into houses. However, there is no information about what size of hole they can squeeze through. Therefore, we investigated the sizes of the holes that they could pass through using three reared individuals in summer and winter. We put a bait in an experimental box with a replaceable front panel, which had a square or round hole. The minimum passable sizes were recorded in summer. For a square hole the minimum size was 5.0 cm for each side, and for a round hole the minimum sized hole had a diameter of 5.5 cm. It is necessary to cover holes of these sizes or more to prevent their house invasion. The body weight and the hole shape had no significant effect on the minimum passable area. On the other hand, the season had a significant effect on the minimum passable areas. The shoulder seems to be the limiting factor for whether the martens can pass through the holes. Therefore, the seasonal change in the body size around the shoulder may affect the minimum passable area of holes.
A single site mutation significantly improves the thermostability and activity of heparinase I from Bacteroides eggerthii

Abstract The applications of heparinase I in the preparation of low molecular weight heparin were limited due to the poor thermostability. In this work, the Foldx was used to calculate the folding free energy to find the possible thermal stable conformation. In the calculation results, the mutant Q157H had the lowest folding free energy in 17 possible mutants indicating that the Q157H was more stable than the wild-type heparinase I. The mutant Q157H exhibited a 6.0-fold and 2.1-fold half-life time than that of the wild type (WT). Notably, the enzyme activity of Q157H was also increased 1.88-fold compared with the WT. To explore the role of the mutation Q157H on the structure of heparinase I, molecular dynamic (MD) simulation and docking were performed. The MD simulation revealed that the Q157H had lower root-mean-square deviation (RMSD) value than the WT. Moreover, the model showed 11 hydrogen bonds formed between the mutant with the heparin, and there were 4 more hydrogen bonds than that of the WT. Based on the molecule docking results, the Q157H had a higher affinity than the WT. This work will expand the applications of heparinase in the industry and clinic.