Miracle-dz/UniFAR-FTUs huggingface dataset:
Recursive partitioning and Gaussian Process Regression for the detection and localization of damages in pultruded Glass Fiber Reinforced Polymer material

In this paper, a methodology for the detection and localization of damages in composite pultruded members is proposed. This is particularly relevant to thin‐walled pultruded members, which are typically characterized by orthotropic behavior, anisotropic along the fibers and isotropic in the cross section. Hence, a method to detect and localize damage, and the influence these might have on the performance of thin‐walled Glass Fiber Reinforced Polymer (GFRP) members, is proposed and applied to both numerical and experimental data. Specifically, the numerical and experimental modal shapes of a narrow flange pultruded profile are analyzed. The reliability of the proposed semiparametric statistical method, which is based on Gaussian Processes Regression and Bayesian‐based Recursive Partitioning, is analyzed on a narrow flange profile, artificially affected by sawed notches with incremental depth. The numerical investigation is carried out via finite element models (FEMs) of the cracked beam, where the dynamic parameters and the modal shapes are computed. In total, three different crack sizes are investigated, to compare the results with the experimental ones. Finally, the proposed approach is further extended and validated on numerically simulated frame structures.
Comparison of the most demanding scenarios during different in-season training sessions and official matches in professional basketball players

The purpose of this study was to compare physical demands during the most demanding scenarios (MDS) of different training sessions and official matches in professional basketball players across playing positions. Thirteen professional basketball players were monitored over a 9-week competitive season using a local positioning system. Peak physical demands included total distance, distance covered at > 18 km·h-1, distance and number of accelerations (≥ 2 m∙s-2) and decelerations (≤ -2 m∙s-2) over a 60-second epoch. Analysis of variance for repeated measures, Bonferroni post-hoc tests and standardised Cohen’s effect size (ES) were calculated. Overall, almost all physical demands during the MDS of training were lower (-6.2% to -35.4%) compared to official matches. The only variable that surpassed competition demands was distance covered at > 18 km·h-1, which presented moderate (ES = 0.61, p = 0.01) and small (ES = 0.48, p > 0.05) increases during training sessions four and three days before a competition, respectively. Conversely, the two previous practices before match day presented trivial to very large decreases (ES = 0.09–2.66) in all physical demands. Furthermore, centres achieved the lowest peak value in total distance covered during matches, forwards completed the greatest peak distance at > 18 km·h-1, and guards performed the greatest distance and number of high-intensity accelerations and decelerations. In conclusion, physical demands during the MDS of different training sessions across the microcycle failed to match or surpass peak values during official matches, which should be considered when prescribing a training process intended to optimise the MDS of match play.
Preservation and Use of Indigenous Knowledge Practices in Public Libraries in Nigeria

ABSTRACT Indigenous knowledge (IK), a key component of knowledge, is considered crucial in any country’s knowledge system. However, despite the importance of indigenous knowledge in promoting the knowledge economy, it has been observed that many indigenous knowledge systems in developing countries such as Nigeria are gradually becoming extinct due to cultural, educational and economic developments. This paper investigated the preservation and use of indigenous knowledge in public libraries in Southwest Nigeria. A survey method anchored on the positivism paradigm was employed for the study. Based on this, copies of the questionnaire was used as a data collection instrument. One hundred and fifty (150) library personnel were randomly selected from the five (5) purposely chosen public libraries in Southwest Nigeria. The study’s findings revealed that educational purposes were the primary reason for using the indigenous knowledge in the libraries. It was also revealed that video and audio recordings were significant sources of preserving IK in public libraries. Access to IK resources by the users was through the use of ICT tools such as computers and compact discs, while inadequate funding was identified as the major challenge facing the development of IK. The study recommends, among others, increased budgetary allocation to public libraries for the management of IK resources; and that practical steps should be taken to create awareness on the need to preserve IK activities in video or audio formats. This study contributes to knowledge in IK development by providing new data and information relevant to policymaking and IK research.
A multi‐step airport delay prediction model based on spatial‐temporal correlation and auxiliary features

Airport delay prediction system is fundamental to intelligent air trafﬁc management. How-ever, the prediction of airport delay is affected strongly by spatial-temporal dependencies and other exogenous dependencies, which would bring serious challenges in prediction. In this paper, the APR-LSTM model is proposed to address these challenges. The model is driven by the real-world ﬂight operation data. In the proposed prediction model, the dynamic air trafﬁc delay networks are fed into PageRank algorithm to capture the dynamic spatial dependencies. The input sequences of airport delay vector is weighted by spatial dependencies before sending into the long short-term memory network (LSTM) and sequence to sequence model, which can realise the multi-step prediction and the joint mining of spatial-temporal dependencies. Subsequently, the temporal attention mechanism and auxiliary features are introduced to obtain the long-term temporal dependencies by exploring the relevance of different time steps and improve the accuracy of prediction model. Furthermore, the results of comparative experiments indicated that the proposed model achieve
Building Responsible Innovation in International Organizations through Intrapreneurship

Responsible innovation to address grand societal challenges has become the raison d’être of international organizations, such as the United Nations. Although these entities are established to act responsibly, they struggle to innovate. Acknowledging the tensions of this unique context, this study applies an inductive research methodology drawing on eight case studies of intrapreneurial initiatives in socially oriented organizations. The initiatives originated in country offices and scaled either organically (country- by- country) or strategically (via headquarters). This distinguishes two ways how the initiatives mitigate different responsible innovation tensions to foster competence development, structural alignment, and mission stretch. The findings add to the literatures on responsible innovation and intrapreneurship in large, complex organizations by uncovering the boundary conditions of non- profit intrapreneurship, its tensions, and its scaling processes. This study builds theory that intrapreneurial initiatives can foster digital transformation and contribute to the development of an organizational capability for responsible innovation via organizational imprinting. contributes to characterized and All eight cases show addressed in as
Productivity Improvement using Time Study Analysis in a Small-Scale Import-Export Industry

The pattern of economic aggressiveness has exchanged worldwide. Many countries have joined the worldwide economic competition to capture the worldwide market to remain moneymaking and competitive by increasing their production. There are so many factors that influence the efficiency of a manufacturing system. The most widely addressed issue is how to increase production. Motion and time study approach are one of the productivities increasing techniques assist in many manufacturing industries. Productivity plays a significant or significant role in a company. There are many reasons for which productivity decreases, and there are various methods to improve productivity. However, choosing which method to use according to the situation is a wise decision. This study was done in an industry engaged in manufacturing Desk Accessories, Bag, Industrial Tool Kit, Leather Product and Home Furnishing products. The time study data for making the U bag process faster decreases the time taken for making bags and increases the production rate to increase productivity. The data was collected, and significant improvement in changeover time was observed
Effect of intake of virgin coconut oil (Cocos nucifera L.) on the spleen and small intestinal immune cells and liver lipid of mice

Virgin coconut oil (Cocos nucifera L.) (VCO) is consumed worldwide and is rich in medium-chain fatty acids (MCFAs) and lauric acid (LA). The aim of this study was to examine the immuno-stimulation effect of VCO produced in Sri Lanka. Three groups of mice were fed either a lard diet (L), a fish-oil diet (F) or a coconut oil diet (C) for 6 weeks. During the experimental period, no significant differences in total food intakes or body weights of mice were observed among the three groups. Perirenal fat tissue weight, plasma Triacylglycerol (TG) level and total liver lipids were lower in the F group mice than those in the L and C group mice. The total cholesterol levels in livers of mice in the C group showed higher than that of the other groups. The cytokine IL-12 levels in spleen cells were highest in the C group mice, followed in order by the mice in F and L groups. Our studies clearly show that the plasma IgA and the cytokine IL-12 levels in the spleen and PP cells of mice increased in spite of the accumulation of liver lipids in mice by the intake of VCO produced in Sri Lanka.
(Re)Commoning Food and Food Systems. The Contribution of Social Innovation from Solidarity Economy

The need for a transition to sustainable food systems is widely recognised. Over the last three decades, movements have been demanding and proposing a radical transformation, foregrounding the social values of food. Experiences inspired by solidarity economy have given rise to highly innovative pathways, grounded on the redefinition of the food-related values and practices and the reconstruction of local, community-based food systems by referring to social and ecological sustainability. One can usefully draw from these experiences for identifying challenges, opportunities and benefits and for analysing the most effective modes of action leading to the creation of alternatives. Capturing and supporting this innovation is particularly important when looking at the opportunities offered by local food policies. This significantly involves the meanings, goals and forms that food governance takes on. The paper aims at investigating these aspects, reading the initiatives inspired by SE principles as an example of social innovation. Their engagement in re-signifying food in terms of “commons” and in “commoning” food systems constitutes a complementary key of analysis. Focusing on the Italian context, the paper draws on many years of qualitative research and direct involvement in these initiatives. The analysis provides useful insights about the potential for change existing in society and invites us to develop reflexivity on how local food policies capture the opportunity for a re-politicisation of food-related issues.
Enabling seamless communication over several IoT messaging protocols in OpenFlow network

The most prominent protocols for data transfer in internet of things (IoT) are message queuing telemetry transport (MQTT) and constrained application protocol (CoAP). The existing clients from both sides are unable to communicate directly because of the packet’s header structure difference in application and transport layer. In response, this paper aims to develop a bidirectional conversion server used to translate the specified messaging protocol interchangeably in the OpenFlow network and transmit the converted packet from both sides. The conversion server integrated the MQTT subscriber and CoAP POST object for converting the MQTT message into CoAP data. Similarly, the CoAP-MQTT translation was processed by CoAP GET and MQTT publisher object. The research was evaluated by analysing the round trip time (RTT) value, conversion delay, and power consumption. The RTT value for MQTT-CoAP required 0.5 s while the CoAP-MQTT was accumulated in 0.1 s for single-packet transmission. In addition, the SDN controller and the conversion server only consumed less than 1% central processing unit (CPU) usage during the experiment. The result indicated that the proposed conversion server could handle the translation even though there was an overwhelming request from the clients.
Drainage Capillary Pressure Distribution and Fluid Displacement in a Heterogeneous Laminated Sandstone

We applied three‐dimensional X‐ray microtomography to image a capillary drainage process (0–1,000 kPa) in a cm‐scale heterogeneous laminated sandstone containing three distinct regions with different pore sizes to study the capillary pressure. We used differential imaging to distinguish solid, macropore, and five levels of subresolution pore phases associated with each region. The brine saturation distribution was computed based on average CT values. The nonwetting phase displaced the wetting phase in order of pore size and connectivity. The drainage capillary pressure in the highly heterogeneous rock was dependent on the capillary pressures in the individual regions as well as distance to the boundary between regions. The complex capillary pressure distribution has important implications for accurate water saturation estimation, gas and/or oil migration and the capillary rise of water in heterogeneous aquifers.
Strengthening and toughening sodium alginate fibers using a dynamically cross-linked network of inorganic nanoparticles and sodium alginate through the hydrogen bonding strategy

In order to improve the mechanical properties of sodium alginate (SA) fibers, a dynamically cross-linked network of inorganic nanoparticles (VSNP) and SA was constructed in this study to strengthen and toughen SA fibers by the hydrogen bonding strategy. The SA–VSNP spinning solution was prepared by the “one-pot method” and the fibers were prepared by wet spinning. The influence of the dynamically cross-linked network on the intermolecular hydrogen bonding, the fluidity of the spinning solution, the mechanical properties of the fibers, the structural morphology, etc. was analyzed using an infrared spectrometer, a rotational rheometer, a single fiber strength machine, a scanning electron microscope, an X-ray diffractometer and other research methods. This study found that the introduction of the dynamically cross-linked network increased the intermolecular hydrogen bonds between hybrid chains. The fluidity of the spinning solution was improved effectively. Although the dynamically cross-linked network adversely affected the crystallization properties, it significantly homogenized the network and overcame the stress concentration by fracture and formation of hydrogen bonds. The effect of strengthening and toughening was outstanding. The breaking strength of the SA–VSNP fibers was 3.17 cN/dtex and the elongation at break was 10.19% when the content of VSNP was 30 wt%. Compared with the pure SA fibers, the increase was 57.71% and 23.52%, respectively.
Student’s Online Learning Level during the Pandemic from the Perspective of Lecturers in a Teacher Training Institute

COVID-19 has been declared as a pandemic, an epidemic of a disease that spreads so widely across the world. Thus the Malaysian government has enforced the Movement Control Order (MCO) effective 18th March 2020 to curb the spread of the virus which includes the closure of all educational institutes. In order to ensure that all teaching and learning process (T&L) continue smoothly, the Teacher Education Institute or locally known as Institut Pendidikan Guru (IPG), has adopted the online T&L platforms to deliver lessons. This study was conducted to identify the IPG lecturers’ perspective of student teachers’ online learning level during the pandemic. It also explores the support required by the lecturers in implementing online T&L. This study used a quantitative approach which is supported by qualitative findings. The sample of the study were 806 IPG lecturers who were given questionnaires in the form of 5-point Likert Scale items and open ended questionnaires. The finding of the study indicated a high level of students' learning with mean scores exceeding 4.0 for all items where the highest mean was for the item ‘students attend online classes’ (mean=4.49, SD=0.77). The qualitative analysis of the open ended questions showed that IPG lecturers needed support in the form of internet access, guidance and training to utilise the online platforms for T&L, and technical and moral support to help increase students’ level learning. The results of the study implicate that both the lecturers and students need to strive harder to familiarise themselves with this new situation and to ensure that the online T&L runs smoothly and effectively
A design and optimization framework of variable-density lattice structures for additive manufacturing

Abstract With the development of additive manufacturing (AM), research interest is currently focused on lattice structures development due to their interesting mechanical properties. It implies the opportunity at the engineering level to be able to specify – beyond the shapes – mechanical properties distributed in the space to be manufactured. The article aims at introducing a design and optimization framework for AM, which highlights variable-density lattice structures. By processing both a topology optimization within a rough design space and a design of experiments driven parametric optimization, the development process of suitable and specific strength structures for AM becomes seamless and efficient.
A Visual Insight Into Tweeting Activity Before and During Natural Disasters

Big data provided by social media has been increasingly used in various fields of research including disaster studies and emergency management. Effective data visualization plays a central role in generating meaningful insight from big data. However, big data visualization has been a challenge due to the high complexity and high dimensionality of it. The purpose of this study is to examine how the number and spatial distribution of tweets changed on the day Hurricane Harvey made landfall near Houston, Texas. For this purpose, this study analyzed the change in tweeting activity between the Friday of Hurricane Harvey and a typical Friday before the event.
Fidelity in workplace mental health intervention research: A narrative review

ABSTRACT The scientific literature on workplace interventions that target individual-level determinants of mental health for primary or secondary prevention is mixed, with many studies failing to show statistically significant, sizeable effects. A methodological characteristic that may explain these mixed findings is fidelity, a multidimensional construct that captures the extent to which an intervention is implemented as intended, in a standardized manner. In this narrative review, we examined the extent to which workplace mental health intervention studies try to enhance or measure the twelve different dimensions of fidelity that have been identified. We conducted comprehensive searches of MEDLINE, Embase, and PsycINFO. Following review, 370 articles were selected for inclusion, of which only 21% explicitly mentioned fidelity. About two-thirds of the articles considered less than half of all relevant fidelity dimensions. Most studies tried to enhance rather than measure fidelity. Only a handful of included studies (n=7, 2%) measured half or more of all relevant fidelity dimensions. Some fidelity dimensions (e.g. theoretical) were considered less often than others (e.g. receipt and enactment). Our review shows that fidelity is insufficiently considered in current workplace mental health literature. We discuss implications for internal and external validity, scalability, and directions for future research.
Tube Diameter of Oriented and Stretched Polymer Melts

The Lin–Noolandi entanglement ansatz correlates the tube diameter with polymer density and chain stiffness, and has been successfully extended to concentrated solutions as well. We develop a new version of the entanglement ansatz, applicable to polymer melts under uniform tension, and find that the tube diameter equals its unperturbed value a when the pulling force F is less than the thermal tension kT/a, and scales as F–1/3 when F exceeds kT/a. We verify this behavior by using isoconfigurational ensemble averaging to estimate the tube diameter in simulated polymer melts that are oriented by pulling on the ends of topologically equilibrated chains. When the tension is large enough to nearly fully extend the chain, our analysis predicts that the tube diameter scales as F–2/3, but our simulation results do not reach this regime.
Internet Search Effort on Covid-19 and the Underlying Public Interventions and Epidemiological Status

This study aimed to quantify the relative importance of indices of personal freedom, economy, and epidemiology on the public interest on Covid-19 expressed by internet searches on the topic. The relationship between the effective reproduction rate Rt, news media cover, and web search effort was also quantified. Data of online search in Greece on Covid-19 topic for one year were analyzed using indices of social distancing, financial measures, and epidemiological variables using machine learning. Temporal autocorrelation of web search effort was quantified and control charts of web search, Rt, new cases and new deaths were employed. Results indicated that the trained model exhibited a fit of R2 = 91% between the actual and predicted web search effort. The top five variables for predicting web search effort were new deaths, the opening of international borders to non-Greek nationals, new cases, testing policy, and restrictions in internal movements. Web search had negligible temporal autocorrelation between weeks. Web search peaked during the same weeks that the Rt was peaking although new deaths or new cases were not peaking during those dates. The extent to which online searches may reflect the actual epidemiological situation is discussed.
Test setup using DC metering approach for loss measurements of inductive components – principle, characterization, validation and application

Accurate loss estimation of magnetic components is crucial for power electronics engineers. Unfortunately, loss predictions remain a quite challenging task, as these depend on many parameters and manufacturers typically do not deliver a sufﬁcient database for precise loss estimations. Therefore, this paper revisits an approach allowing loss measurements. In contrast to the most common used approach using alternating current (AC) waveforms to gain information about the losses, this approach relies on measuring direct current (DC) voltage and current. After characterizing the experimental setup, air inductors serve as references to validate the approach. In a ﬁrst step, the test setup is used to extract core losses with and without DC bias by designing a special device under test (DUT) featuring low winding loss. Furthermore, this paper demonstrates that the test setup is also able to gain the overall losses of complete magnetic components by using the DC metering approach.