Miracle-dz/UniFAR-FTUs huggingface dataset:
Consumer Valuation of and Attitudes Towards Novel Foods Produced with NPETs: A Review

We review the emerging international body of evidence on attitudes and willingness to pay (WTP) for novel foods produced with New Plant Engineering Techniques (NPETs). NPETs include genome/gene editing, cisgenesis, intragenesis, RNA interference and others. These novel foods are often beneficial for the environment and human health and more sustainable under increasingly prevalent climate extremes. These techniques can also improve animal welfare and disease resistance when applied to animals. Despite these promising attributes, evidence suggests that many, but not all consumers, discount these novel foods relative to conventional ones. Our systematic review sorts out findings to identify conditioning factors which can increase the acceptance of and WTP for these novel foods in a significant segment of consumers. International patterns of acceptance are identified. We also analyze how information and knowledge interact with consumer acceptance of these novel foods and technologies. Heterogeneity of consumers across cultures and borders, and in attitudes towards science and innovation emerges as key determinants of acceptance and WTP. Acceptance and WTP tend to increase when beneficial attributes—as opposed to producer-oriented cost-saving attributes—are generated by NPETs. NPETs improved foods are systematically less discounted than transgenic foods. Most of the valuation elicitations are based on hypothetical experiments and surveys and await validation through revealed preferences in actual purchases in food retailing environments.
Towards innovation on computer science courses

— Technologies change very rapidly, and universities need to be increasingly connected to the needs of the industry. With the advent of industry 4.0, the transformations in curricula must be continuous. The current scholar must be a professional future who finds new solutions, who knows how to make a decision based on the data, and who can communicate with different areas. The insertion of entrepreneurship practices towards the development of innovative products in computer courses can academically boost the scholars' characteristics necessary to the today's world, such as teamwork, problem-solving, systemic vision, communication, protagonism, and creativity. A new approach that makes it possible to address the needs of the locality to the surroundings of the educational institution, to highlight the strengths of the scholars in terms of solving such demands, and to propose innovative works strongly linked to the local productive arrangement. The design of the approach follows an innovation framework proposed by Steinbeis University-SIBE, which expands and potentiates the phases of Design Thinking in a larger number of more detailed steps that guide well-defined activities. The results presented by the use of the approach shows that most of the work developed has the
A network model approach to enhance knowledge sharing for internationalization readiness of SMEs

PurposeBuilding upon the insights of the resource-based view and internationalization theories, the purpose of this paper is to examine the role networks play in SMEs' readiness for internationalization. By investigating three different types of knowledge sharing, namely economic-setting, market-specific and customer-specific, the study analyzes their effect on SMEs' readiness for internationalization.Design/methodology/approachThe four research hypotheses derived by from the analysis of the literature have been investigated by applying the multiple regression technique. By means of an online survey, 300 valid questionnaires were collected and information from a sample of Italian SMEs belonging to 11 agro-food consortia have been analyzed.FindingsThe results suggest that SMEs' readiness for internationalization could be supported by sharing customer-specific, market-specific and economic-setting knowledge with other firms operating within the same agro-food consortium. Additionally, data analysis highlights a negative relation between the risk perception in the process and readiness for internationalization, suggesting the importance of knowledge sharing in reducing the criticality issues of being a newcomer entering international markets.Originality/valueFrom a theoretical perspective, this study aims to fill the gap in knowledge management and international relationship marketing literature. Since proposes a combination of different kinds of knowledge that contribute to reducing the criticalities SMEs must face by identifying useful information to be conveyed within the network. From a managerial perspective, the study provides useful insights for the agro-food sector, highlighting how experiential and network knowledge constitutes a pre-condition for managing internationalization complexity and discovering opportunities on foreign markets.
Tuning the Potential of Electron Extraction from Microbes with Ferrocene‐Containing Conjugated Oligoelectrolytes

Synthetic systems that facilitate electron transport across cellular membranes are of interest in bio‐electrochemical technologies such as bio‐electrosynthesis, waste water remediation, and microbial fuel cells. The design of second generation redox‐active conjugated oligoelectrolytes (COEs) bearing terminal cationic groups and a π‐delocalized core capped by two ferrocene units is reported. The two COEs, DVFBO and F4‐DVFBO, have similar membrane affinity, but fluorination of the core results in a higher oxidation potential (422 ± 5 mV compared to 365 ± 4 mV vs Ag/AgCl for the neutral precursors in chloroform). Concentration‐dependent aggregation is suggested by zeta potential measurements and confirmed by cryogenic transmission electron microscopy. When the working electrode potential (ECA) is poised below the oxidation potential of the COEs (ECA = 200 mV) in three‐electrode electrochemical cells containing Shewanella oneidensis MR‐1, addition of DVFBO and F4‐DVFBO produces negligible biocurrent enhancement over controls. At ECA = 365 mV, DVFBO increases steady‐state biocurrent by 67 ± 12% relative to controls, while the increase with F4‐DVFBO is 30 ± 5%. Cyclic voltammetry supports that DVFBO increases catalytic biocurrent and that F4‐DVFBO has less impact, consistent with their oxidation potentials. Overall, electron transfer from microbial species is modulated via tailoring of the COE redox properties.
Training elite youth soccer players: area per player in small-sided games to replicate the match demands

The aim was to determine the area per player (ApP, m2 × player) in small- or large-sided games to replicate the official match demands in elite youth soccer players. Two hundred and twenty-eight players (U15 = 36, U16 = 48, U17 = 49, U18 = 37 and U19 = 58) were monitored during both training (12 183 individual samples) and matches (683 individual samples) across five seasons. Relative (m × min-1) total (TD), high-speed running (HSR), very high-speed running (VHSR), sprint and acceleration/deceleration (Acc/Dec) distance were collected. Between-category and between-position comparisons were performed. Area per player was moderately correlated (P < 0.05) with TD (r = 0.401), large (r = 0.621) with HSR, and very largely with VHSR (r = 0.744) and sprint (r = 0.723). An inverse small (r = -0.232; P = 0.039) correlation for Acc/Dec was found. The area per player to replicate the match demands was 158 ± 18, 182 ± 32, 197 ± 37, 212 ± 42 and 156 ± 25 m2 × player for TD, HSR, VHSR, sprint and Acc/Dec, respectively. Moderate to very large (ES: 0.79 to 4.66) differences in the area per player across metrics were observed, with sprint > VHSR > HSR > TD = Acc/Dec. Trivial to very large (ES: 0.01 to 2.67) between-category differences in area per player across the same metric were found, with U15 and U16 requiring a larger area per player than other age categories. These findings may help practitioners to recreate the desired external load outcomes with regards to positional match-play demands using specific area per player in small- or large-sided games in youth elite soccer players from U15 to U19.
Engaging the Dark Side: Exploring Identification with Morally Complex Antagonists

ABSTRACT This work investigates what factors prompt audience members to engage with morally complex antagonists and examines potential real-world attitudinal outcomes of such engagement. A two-part experimental study (n = 140) examines whether the revelation timing of a character’s immoral behavior in a fictional narrative (late reveal versus early reveal) and a person’s morality salience (vice salience versus virtue salience) impact identification with a morally complex antagonist. Further, real-world attitudinal outcomes of antagonist identification are examined. Results demonstrated that identification with a fictional, morally complex antagonist can significantly impact real-world attitudes toward criminals. Additionally, revelation timing predicted identification with a fictional antagonist for male participants, but not for female participants, indicating a need for future research to investigate potential gender differences for identification with morally complex antagonists. A person’s own morality salience, however, did not significantly impact identification with a fictional antagonist. Overall, this work demonstrates that exposure to fictional narratives and identification with morally complex antagonists can affect real-world attitudes, and gives direction for future research to better understand the mechanisms that drive engagement with antagonists in narratives.
MR‐DCAE: Manifold regularization‐based deep convolutional autoencoder for unauthorized broadcasting identification

Nowadays, radio broadcasting plays an important role in people's daily life. However, unauthorized broadcasting stations may seriously interfere with normal broadcastings and further disrupt the management of civilian spectrum resources. Since they are easily hidden in the spectrum and are essentially the same as normal signals, it still remains challenging to automatically and effectively identify unauthorized broadcastings in complicated electromagnetic environments. In this paper, we introduce the manifold regularization‐based deep convolutional autoencoder (MR‐DCAE) model for unauthorized broadcasting identification. The specifically designed autoencoder (AE) is optimized by entropy‐stochastic gradient descent, then the reconstruction errors in the testing phase can be adopted to determine whether the received signals are authorized. To make this indicator more discriminative, we design a similarity estimator for manifolds spanning various dimensions as the penalty term to ensure their invariance during the back‐propagation of gradients. In theory, the consistency degree between discrete approximations in the manifold regularization (MR) and the continuous objects that motivate them can be guaranteed under an upper bound. To the best of our knowledge, this is the first time that MR has been successfully applied in AE to promote cross‐layer manifold invariance. Finally, MR‐DCAE is evaluated on the benchmark data set AUBI2020, and comparative experiments show that it achieves state‐of‐the‐art performance. To help understand the principle behind MR‐DCAE, convolution kernels and activation maps of test signals are both visualized. It can be observed that the expert knowledge hidden in normal signals can be extracted and emphasized, rather than simple overfitting.
Theoretical study of B segregation in Mo(110)

Using density functional theory, we have calculated an atomic, electronic structures and energetics of the B/Mo(110) surface and as well as from these calculations we have also studied B-segregation in the Mo substrate. The calculated segregation energy is negative which means that the non-segregated B-capped structure is disallow to be stable comparing the B atoms occupy the second-layer of Mo substrate. We have added new explanation for B segregation in Mo surface using the concept of bond numbers between Mo and B atoms. In the calculated electronic band structure of B segregation in the Mo(110) surface, we have determined a chemical bonding between Mo d-orbital and B p-orbitals which are clearly overlap. The other surface states are contributed individual orbital of Mo and B atoms.
Combining Polygon Schematization and Decomposition Approaches for Solving the Cavity Decomposition Problem

The cavity decomposition problem is a computational geometry problem, arising in the context of modern electronic CAD systems, that concerns detecting the generation and propagation of electromagnetic noise into multi-layer printed circuit boards. Algorithmically speaking, the problem can be formulated so as to contain, as sub-problems, the well-known polygon schematization and polygon decomposition problems. Given a polygon P and a finite set C of given directions, polygon schematization asks for computing a C-oriented polygon P′ with “low complexity” and “high resemblance” to P, whereas polygon decomposition asks for partitioning P into a set of basic polygonal elements (e.g., triangles) whose size is as small as possible. In this article, we present three different solutions for the cavity decomposition problem, which are obtained by suitably combining existing algorithms for polygon schematization and decomposition, by considering different input parameters, and by addressing both methodological and implementation issues. Since it is difficult to compare the three solutions on a theoretical basis, we present an extensive experimental study, employing both real-world and random data, conducted to assess their performance. We rank the proposed solutions according to the results of the experimental evaluation, and provide insights on natural candidates to be adopted, in practice, as modules of modern printed circuit board design software tools, depending on the observed performance and on the different constraints on the desired output.
Synthesis and properties of benzocyclobutene-terminated imide-containing cyano group

Benzocyclobutene (BCB) resins have aroused much interest because of their excellent physical and chemical properties. Unfortunately the temperature required to induce cross-linking in typical BCBs is higher than 250°C, which restricts their applications. In this study, a novel cyano-containing BCB-terminated imide monomer was synthesized through the reaction of 1-cyano-5-amino-benzocyclobutene with 4,4′-oxydiphthalic anhydride. This monomer allows a 50–100°C lower curing temperature in comparison with typical BCBs, and it is highly soluble in various solvents and can easily convert to cured film at 150–200°C. Because of the presence of rigid imide group and strong polar cyano group, the cured film exhibits excellent mechanical strength with tensile strength up to 87.8 MPa, high glass transition temperature up to 350°C, low coefficient of thermal expansion (36.9 ppm K−1), and outstanding planarity with the average surface roughness as low as 0.26 nm.
An Evaluation Framework for User Experience Using Eye Tracking, Mouse Tracking, Keyboard Input, and Artificial Intelligence: A Case Study

ABSTRACT User eXperience (UX) has been used to achieve improvements in digital information systems based on how people perceive them. In particular, this paper establishes a framework that employs methods for eye and mouse tracking, keyboard input, self-assessment questionnaire and artificial intelligence algorithms to evaluate user experience and categorize users in terms of performance profiles. The results obtained with this framework are artifacts that can be used to support customizations of the User Interface (UI) on the websites. Moreover, the established framework is generic and flexible and can be applied to any information system, such as the case study shown in the website of the Federal Revenue of Brazil (RFB). The main objectives of this paper are as follows: (i) to set out a powerful UX framework based on three tracking techniques – the AIT2-UX; (ii) to provide the T2-UXT to collect, collate, process and visualize data obtained from users’ interactions (iii) to use and compare machine learning algorithms with the classification of user performance profiles; (iv) to use the artifacts generated by the framework to manually customize the UI with the website.
Flavour chemical dynamics during fermentation of kombucha tea

Main physical and chemical properties, microbial population and flavour compounds of kombucha fermentation were dynamically analyzed. The results showed: the pH values decreased but total acidity increased in kombucha fermentation broth with fermentation time; the concentrations of tea polyphenols and free amino acids firstly increased in the initial stage and then decreased till the end of fermentation; total catechins and caffine in kombucha fermentation broth were degraded progressively with fermentation time. Only 21 volatile flavour compounds were identified in the initial kombucha fermentation broth but 56 volatile flavour compounds were identified in the 10 d fermentation. The largest group was acids among which there were 22 different types of acids compounds, accounting for up to 57.21% of all volatile flavour components. Bacteria were more abundant and diverse than yeasts in kombucha fermentation broth during fermentation. We separated and identified 8 main microbial communities in kombucha fermentation broth during kombucha fermentation; 6 bacteria belonged to Gluconacetobacter saccharivorans, Acetobacter sp. , Gluconacetobacter sp. , Gluconacetobacter europaeus, Acetobacter aceti and Lactobacillus fermentum, and 2 yeasts belonged to Saccharomyces cerevisiae and Arxula adeninivorans. According to the production of organic acids i.e., acetic acid, we envisaged that the predominant bacterial species identified were probably Acetobacter sp. and Acetobacter aceti after 5 days fermentation.
Development of Smart Sensing Technology Approaches in Structural Health Monitoring of Bridge Structures

In recent years, immense development in Structural Health Monitoring (SHM) of bridges helps address the life span and reliability of bridge structure at contrasting phases of their service life. This article provides a detailed understanding of bridge monitoring, and it focuses on sensors utilized and all kinds of damage detection (strain, displacement, acceleration, and temperature) according to bridge nature (scour, suspender failure, disconnection of bolt and cables, etc.) and environmental degradation under static and dynamic loading. This paper presents information about various methods, approaches, case studies, advanced technologies, real-time experiments, stimulated models, data acquisition, and predictive analysis. Future scope and research also discussed the implementation of SHM in bridges. The main aim of this research is to assist researchers in better understanding the monitoring mechanism in bridges.
Gateway based Trust Management System for Internet of Things

Internet of Things (IoT) a growing phenomenon, refers to the seamless integration of things into the information network. The security in IoT is tampered because of the various attacks which happen due to resource constrained nature of the devices in the network. Thus, although IoT is evolving as an attractive next generation networking paradigm, it can be adopted only when the security issues are resolved. This implies that, in a dynamic and collaborative IoT environment, the devices need to be trustworthy. This paper proposes a gateway based trust management system and an algorithm for computation of trust for the devices. The system focuses on making the computations on the devices lightweight and the network robust. The proposed system is tested against various IoT attacks and results demonstrate that it can clearly identify the malicious device if any, in the IoT network.
Numerical optimisation of the diffuser in a typical turbocharger compressor using the adjoint method

In the automotive industry, the demand for fuel economy and emission reduction has resulted in engine downsizing, with turbochargers playing a key role in compensating for the performance loss. To be effective, a turbocharger’s compressor must be accurately designed to match the engine’s requirements. This study presents a novel non-parametric optimisation of the turbocharger compressor diffuser based on the compressor efficiency. The numerical models are based on the validation and mesh dependency study against experimental data from three points on each speed line of 150,000 (rpm) and 80,000 (rpm). The geometry and case data are related to the TD025-05T4 compressor from the 1.2-L Renault Megane passenger car. The turbocharger compressor diffuser geometry was optimised using the adjoint solver method within ANSYS FLUENT 2019 R1. The adjoint solver provides a gradient-based optimisation that can automatically create a series of iterations of a design, so that the mesh gradually deforms into an optimal shape to achieve a single target, the compressor efficiency in this study. The study considers a total of six operating cases on the compressor map to optimise the full and partial load compressor operations, leading to a real-world drive cycle. These cases are the three cases (closer to surge, stable midpoint, and closer to the choke point) on each of the speed lines. A typical result for mid-stable operation on a 150,000 (rpm) speed line shows a gradual increase in efficiency up to a maximum of 2.6% improvement. The optimal diffuser geometry impacts the overall car engine efficiency for real-world drive cycles, increasing power output and improving thermal efficiency.
Frequency‐Dependent Modulation of Whistler‐Mode Waves by Density Irregularities During the Recovery Phase of a Geomagnetic Storm

Density irregularities near the plasmapause are commonly observed and play an important role in whistler‐mode wave excitation and propagation. In this study, we report a frequency‐dependent modulation event of whistler‐mode waves by background density irregularities during a geomagnetic storm. Higher‐frequency whistler waves (near 0.5fce , where fce is the equatorial electron cyclotron frequency) are trapped in the density trough regions due to the small refractive index near the parallel direction, while lower‐frequency whistler waves (below 0.02fce ) are trapped in the density crest regions due to the refractive index maximum along the parallel direction. In addition to the modulation, we also find that, quantitatively, the wave amplitude of the higher‐ (lower‐) frequency whistler‐mode waves is anti‐correlated (correlated) with the relative plasma density variation. Our study suggests the importance of density irregularity dynamics in controlling whistler‐mode wave intensity, and thus radiation belt dynamics.