Miracle-dz/UniFAR-FTUs huggingface dataset:
University and Industry Collaboration in the Era of Smart Specialisation: Empirical Research on Sustainable Knowledge Transfer

The coronavirus disease-19 pandemic has forced universities worldwide to develop stronger crisis responses in order to support the surrounding communities more effectively. These solutions are based on collaborations between higher education institutions and industries that facilitate knowledge co-creation. Historically, universities have been knowledge-intensive institutions capable of producing additional findings through research. Currently, these organisations’ most important contributions to national economies are related to universities’ development of fresh knowledge and technical expertise. In parallel, all industries’ business environments have become extremely dynamic, which requires companies to focus on new solutions, rapid development and cost efficiency. To cope with these pressures, industries have been forced to search for new partners, so university-industry collaboration (UIC) has become a key resource for managers seeking to promote innovation and technological development. This study explored the relationship between research and innovation based on smart specialisation strategies and UIC, including the roles of university-industry (U-I) joint research and academics’ motivations for interacting with industries. Based on data collected from 841 Portuguese and Spanish researchers, the results reveal that smart specialisation policies’ effects on UIC are driven by U-I joint research development and university faculty members’ motivations for co-operating with industry professionals. The findings indicate that U-I research activities and universities’ incentives to collaborate with industries fully convert smart specialisation strategies’ effects into higher levels of U-I knowledge transfer.
Knowledge sharing in private social solidarity institutions during pandemics

The COVID-19 pandemic period resulted in a global crisis, whether in the economy, personal or professional life. Because of the pandemic, people and institutions had to change the way they did things. Even though people are becoming more aware of the value of knowledge and it is becoming more common in some institutions, knowledge management methods are still not well known in the social sector and as a key tool for institutions in crisis. Considering the beneficial role that knowledge sharing (KS) practices play in organizations, the current study aims to investigate the impact of KS practices in Portuguese private social solidarity institutions in adapting to the COVID-19 pandemic period. To achieve the purpose and considering the exploratory nature of the research, semi-structured interviews were conducted with fifteen professionals from four private social solidarity institutions in northern Portugal. Nvivo processed the interviews. Because COVID-19 is new, there is no research on knowledge sharing in these institutions, so the study can be considered as original. Before and during pandemics, the presence of knowledge sharing practises, such as the integration of new employees, the proactivity of learning, the sharing of new ideas and mistakes, and the sharing relationship between peers and superiors and other institutions, was observed through the interviews. In this study, we discovered that trust, communication, technology, and social networks, as well as the role of leadership in creating an environment conducive to formal and informal sharing, were elements that facilitated knowledge sharing practises, even throughout the pandemics. During the interviews, both technical directors and employees acknowledged the following: the relationship between superiors and employees in decision-making processes; recognition, feedback and incentives from leaders and the presence of formal and informal communication networks. When it came to sharing, which could happen in a formal or informal setting, employees seemed to prefer informal interactions. To summarise, the institutions were able to adjust to the limits imposed by the pandemic, and the basic practises of KS are part of the daily routine of the organisations analysed.
Bidirectional Leaky-Wave Antenna Based on Dielectric Image Line for Remote Vital Sign Detection at mm-Wave Frequencies

A bidirectional leaky wave antenna (LWA) with beam scanning capabilities was developed based on the dielectric image line for single-tone continuous-wave Doppler radar (DR) for remote vital sign monitoring (RVSM) in a dynamic environment. It consists of a conductor-backed copper dielectric image line with two of the same dielectric layers mounted on top of each other for performance improvement. A RO6010 substrate with high permeability is used for the top two layers. The bottom layer is a RT/duroid 5880 low permittivity substrate stacked on top of the copper DIL to prevent higher order modes from being excited in the DIL channel. The dominant mode of the DIL is perturbed by making holes periodically in the DIL, and fast-wave space harmonics are generated. The scanning range of the proposed antenna through the broadside is 70.19°(−42.49° to 27.7) with an impedance bandwidth of 15 GHz (50-65 GHz), an optimum gain in the fast wave area ranging from <inline-formula> <tex-math notation="LaTeX">$15.5 \,\mathrm {dBi}$ </tex-math></inline-formula> to <inline-formula> <tex-math notation="LaTeX">$19.79 \, \mathrm {dBi}$ </tex-math></inline-formula> and an efficiency of 83.8% at <inline-formula> <tex-math notation="LaTeX">$57.5 \,\mathrm {GHz}$ </tex-math></inline-formula>. Detailed RVSM tests have been performed with the proposed antenna system. It is shown that by adjusting the operating frequency from <inline-formula> <tex-math notation="LaTeX">$50 \,\mathrm {GHz}$ </tex-math></inline-formula> to <inline-formula> <tex-math notation="LaTeX">$65 \,\mathrm {GHz}$ </tex-math></inline-formula>, multiple targets’ breathing rates (BR) and heart rates (HR) can be detected within 70° of the angular range.
Promoting racial equity and antiracist practice in child welfare: perceptions of public child welfare administrators

ABSTRACT There is much discussion in the literature regarding the role public child welfare has played in disproportionately intervening with children and families of color, and debate regarding how this has impacted their wellbeing and the role systemic racism has played. The voice of individuals serving as regional and state-level administrators of public child welfare agencies regarding this topic and how to address existing inequities has been missing in this dialogue. This paper reports on semi-structured interviews conducted with sixteen such administrators regarding where they have observed these issues in their agencies and a wide array of strategies they believe have the best likelihood of promoting racial equity and antiracist practice in the child welfare system, with some describing approaches currently being implemented. Participants discussed what they need from community and university partners to support this work.
Investigation on Mechanical Durability Properties of High-Performance Concrete with Nanosilica and Copper Slag

Mineral admixtures are frequently utilized as cement substitution materials in high-performance concrete (HPC), and so many studies have explored the influence of mineral admixtures on the rheological behavior of HPC. Investigations were done to examine the impact of nanosilica less than 100 nm on HPC by substituting copper slag at a fixed substitution of forty percent for fine aggregate. Concrete samples were cast by substituting cement with nanosilica at (0.5, 1, 1.5, 2, 2.5, and 3) percentages. Examinations on mechanical properties and durability were done on specimens. The above tests demonstrated an increase in water demand because of the increase in the nanosilica substitution percentage. Mechanical and durability properties were improved at a larger rate with the incorporation of nanosilica. The outcomes indicated that colloidal nanosilica is an effective material that enhances the microstructure and acts as a catalyst for pozzolanic activity. The incorporation of nanosilica improves the strength up to two percentage substitution level.
Bilosomes as Nanoplatform for Oral Delivery and Modulated In Vivo Antimicrobial Activity of Lycopene

Owing to the disseminating resistance among pathogenic bacteria, especially Klebsiella pneumoniae, there is a high need for alternate compounds with antibacterial activity. Herein, lycopene was isolated from Lycopersicon esculentum L. Molecular docking approach was employed to explore lycopene binding affinity to selected vital proteins of K. pneumoniae with the binding mechanisms being investigated. This proposed a promising antibacterial activity of lycopene. However, the pharmacological use of lycopene is hampered by its poor solubility and limited oral bioavailability. Accordingly, bilosomes were fabricated for oral lycopene delivery. The computed entrapment efficiency, mean vesicular size, and zeta potential values for the optimized formulation were 93.2 ± 0.6%, 485.8 ± 35.3 nm, and −38.3 ± 4, respectively. In vitro drug release studies revealed controlled lycopene release from constructed bilosomes, with the drug liberation being based on the Higuchi kinetics model. Transmission electron microscopic evaluation of bilosomes revealed spherical nanovesicles free from aggregates. Moreover, the in vitro and in vivo antibacterial activity of lycopene and its constructed formulations against multidrug-resistant K. pneumoniae isolates were explored. The optimized bilosomes exhibited the lowest minimum inhibitory concentrations ranging from 8 to 32 µg/mL. In addition, scanning electron microscopy revealed remarkable deformation and lysis of the bilosomes-treated bacterial cells. Regarding in vivo investigation, a lung infection model in mice was employed. The tested bilosomes reduced the inflammation and congestion in the treated mice’s lung tissues, resulting in normal-sized bronchioles and alveoli with very few congested vessels. In addition, it resulted in a significant reduction in pulmonary fibrosis. In conclusion, this study investigated the potential activity of the naturally isolated lycopene in controlling infections triggered by multidrug-resistant K. pneumoniae isolates. Furthermore, it introduced bilosomes as a promising biocompatible nanocarrier for modulation of oral lycopene delivery and in vivo antimicrobial activity.
Tax amnesty and company value: Testing tax avoidance as an intervening variable

This study aims to examine the relationship between tax amnesty on company value, analyze the role of tax avoidance behavior to determine the direct and indirect relationship of tax amnesty on company value. The population of this study are manufacturing companies listed on the Indonesia Stock Exchange after the implementation of the tax amnesty in Indonesia in 2017–2020. The sample includes 54 companies in order to obtain 216 observational data points. A multiple linear regression model was used to analyze the relationship between the variables. The tests carried out include partial coefficient tests and model accuracy tests. The results of the study reveal that tax amnesty increases the company’s efforts to do tax avoidance. Second, the tax amnesty granted by the government could increase the value of a company. Third, success in tax avoidance efforts has an impact on increasing the value of a company. Fourth, tax avoidance mediates the relationship between tax amnesty and firm value. These results indicate that although tax amnesty can increase company value, it does not guarantee that taxpayers (companies) will stop tax avoidance.
The Impact of Simulated Gastric Acid and Toothbrushing on Surface Characteristics of Resin-Modified Glass-Ionomer Cements

Background and Objectives: The aim of this in vitro study was to evaluate the effect of simulated gastric acid associated with toothbrushing on the surface condition of three resin-modified glass-ionomer cements (RMGIC). Materials and Methods: One hundred and sixty samples of each material were obtained and included in three study groups according to the tested material: Group I (Ionolux, VOCO GmbH, Cuxhaven, Germany); Group II (Vitremer, 3 M-ESPE, St. Paul, MN, USA); and Group III (Fuji II LC, GC Corporation, Tokyo, Japan). The samples were submersed in hydrochloric acid 0.01 M (pH 3.8) for 3 h and exposed to a toothbrushing procedure at a frequency of 10,000 cycles with medium and hard bristles immediately or 30 min after the acid attack. Profilometric measurements were performed by using a non-contact profilometer (Dektak XT, Bruker, Billerica, MA, USA) in order to assess the surface roughness. ANOVA and Bonferroni post hoc tests were used for the statistical analysis at a significance level of p < 0.05. Results: Exposure of RMGICs to the erosive effect of hydrochloric acid in association with toothbrushing 30 min after the chemical attack increased the surface roughness of all three RMGICs. Exposure of the three tested materials exclusively to the action of hydrochloric acid did not affect the surface roughness. Conclusions: One year of hydrochloric acid challenge associated with one year of toothbrushing with medium-hardness bristles performed 30 min after the acid attack increase the surface roughness of two of the three types of RMGIC tested (Ionolux and Fuji II LC).
Overcoming Essentialism? Students’ Reflections on Learning Intercultural Communication Online

The fields of intercultural communication (IC) and intercultural education are in flux and the paradigmatic shift is away from essentialist approaches on culture and interculturality towards seeing IC and interculturality as flexible, fluid, contradictory, political, and ideological constructs. This study presents a virtual exchange project, a joint introductory course on IC between a Finnish university and a French university. One of the objectives of the course was to provide students with a more critical, non-essentialist perspective on interculturality. This study presents an analysis of 32 students’ texts (learning logs) that are processed qualitatively using content analysis to find answers to questions of (1) how students make sense of their experience of learning IC through multilingual online interactions, and (2) how different approaches on culture and interculturality are reflected in students’ leaning logs. The learning logs are written by participants during their six-week learning experience. The findings indicate that students gained confidence in interacting with people from diverse backgrounds and using multiple languages. How students reacted to and reflected on the more critical perspective on interculturality varied greatly, with many learning logs seeming to juggle between different approaches. The online environment was considered a major source of concern prior and at the beginning of the course, but as the course progressed it did not represent a barrier within the documented experiences. Our analysis aims to help teachers of IC to better address the needs of different learners. We also discuss the challenges and possibilities of a multilingual intercultural virtual exchange with a view to creating safe and motivating spaces for teaching and learning about interculturality.
Community Participation In Rural Tourism Development: The Experience Of Wanayasa, Purwakarta

Rural tourism has been quite a favourite form of alternative tourism in Indonesia over the last few years. Beeton (2006) defined rural tourism as a various activities that take place in nonurban settings, ranging from natural or manmade attractions, amenities and facilities, transportation, marketing to information system. People want to experience the indigenous culture and natural environment that settled in rural landscape. Many scholars have argued that the success of tourism development in rural areas depends on the collaboration in Indonesia using a case study of Wanayasa, Purwakarta. It assesses the level of community participation, limitations to community participation in tourism development and community’s commitment to participate in rural tourism development. To accomplish the main objective of this study, the qualitative approach was chosen as a research method. Primary data were collected through in-depth interviews and focus group discussion with 21 informants selected which comprises representation from 3 different group namely local authorities in Purwakarta region, representative of local community, tourism institution. The data were analysed using qualitative content analysis to set priorities and alternative strategies. The results of this study indicated that local people is highly enthusiastic about tourism development in Wanayasa. Community’s commitment to participate in the rural tourism development is to contribute to the provision of access and infrastructure, organize cultural events, and preserve both cultural and natural environment independently. Local community is also interested in building mutual partnership to develop tourist destination, build businesses and promote its tourism to potential markets. However, the level of community involvement in Wanayasa is still at the stage of participation with material incentives and functional participation. While limitations of cultural, structural and operational are also challenges that must be anticipated, to bear on society engagement and mobilization in the development of tourism.
Middle-Level Attribute-Based Language Retouching for Image Caption Generation

Image caption generation is attractive research which focuses on generating natural language sentences to describe the visual content of a given image. It is an interdisciplinary subject combining computer vision (CV) and natural language processing (NLP). The existing image captioning methods are mainly focused on generating the final image caption directly, which may lose significant identification information of objects contained in the raw image. Therefore, we propose a new middle-level attribute-based language retouching (MLALR) method to solve this problem. Our proposed MLALR method uses the middle-level attributes predicted from the object regions to retouch the intermediate image description, which is generated by our language generation model. The advantage of our MLALR method is that it can correct descriptive errors in the intermediate image description and make the final image caption more accurate. Moreover, evaluation using benchmark datasets—MSCOCO, Flickr8K, and Flickr30K—validated the impressive performance of our MLALR method with evaluation metrics—BLEU, METEOR, ROUGE-L, CIDEr, and SPICE.
Wind-plus-battery system optimisation for stacking of frequency response and black start services in the UK

The energy storage-friendly reforms of the ancillary service markets in the UK have heightened interest in co-locating battery energy storage systems (BESSs) with renewable power plants for the stacking of multiple revenue streams. This paper develops a modelling framework to simulate the operation of a wind farm (WF) and BESS co-location system where the BESS uses the existing connection point to deliver frequency responses (FRs) to the AC grid while sustaining a minimum energy level to assist the WF in supplying demand blocks in black start (BS) events. The BESS capacity and operating strategies are optimised to maximise the final net present value of the co-location project based on the UK perspective, addressing the trade-off between the BESS costs and the availability performance of FR and BS services. The modelling framework is demonstrated based on a particular transmission-connected WF in the UK combined with a weekly auctioned FR product, i.e., Dynamic Low High (DLH). The optimisation results are compared between the DLH-only provision and the stacking of BS and DLH, and discussed around the techno-economic feasibility of co-location projects, in particular, the BESS energy management and the minimum possible availability prices for DLH and BS services.
Dominant role of local-moment interactions in the magnetic ordering of iron pnictide superconductors: A comparative study of arsenides and antimonides from first principles

The magnetic properties of various iron pnictides are investigated using first-principles pseudopotential calculations. We consider three different families, $\text{LaFe}Pn\text{O}$, ${\text{BaFe}}_{2}P{n}_{2}$, and $\text{LiFe}Pn$ with $Pn=\text{As}$ and Sb, and find that the Fe local spin moment and the stability of the stripe-type antiferromagnetic phase increases from As to Sb for all of the three families, with a partial gap formed at the Fermi energy. In the meanwhile, the Fermi-surface nesting is found to be enhanced from $Pn=\text{As}$ to Sb for $\text{LaFe}Pn\text{O}$ but not for ${\text{BaFe}}_{2}P{n}_{2}$ and $\text{LiFe}Pn$. These results indicate that the local-moment interaction is the dominant factor over the Fermi-surface nesting in determining the stability of the magnetic phase in these materials and that the partial gap is an induced feature by a specific magnetic order.
K-LM: Knowledge Augmenting in Language Models Within the Scholarly Domain

The use of superior algorithms and complex architectures in language models have successfully imparted human-like abilities to machines for specific tasks. But two significant constraints, the available training data size and the understanding of domain-specific context, hamper the pre-trained language models from optimal and reliable performance. A potential solution to tackle these limitations is to equip the language models with domain knowledge. While the commonly adopted techniques use Knowledge Graphs Embeddings (KGEs) to inject domain knowledge, we provide a Knowledge Language Model (K-LM) to use the Resource Description Framework (RDF) triples directly, extracted from world knowledge bases. The proposed model works in conjunction with Generative Pretrained Transformer (GPT-2) and Bidirectional Encoder Representations from Transformers (BERT) and uses a well-defined pipeline to select, categorize, and filter the RDF triples. In addition, we introduce heuristic methods to inject domain-specific knowledge in K-LM, leveraging knowledge graphs (KGs). We tested our approaches on the classification task within the scholarly domain using two KGs, and our results show that our proposed language model has significantly outperformed the baselines and BERT for each KG. Our experimental findings also help us conclude the importance of relevance of KG used over the quantity of injected RDF triples. Also, each of our proposed methods for injecting the RDF triples has increased the overall model’s accuracy, demonstrating that K-LM is a potential choice for domain adaptation to solve knowledge-driven problems.
A Study on Semiconductor Switch Characteristics for a High Repetitive Fast Rising Solid-State Modulator

In this study, semiconductor switches are analyzed, compared, and selected for solid-state pulsed power modulators with a high repetitive fast rise time. Characteristics of discharge switches are critical in the design of pulsed power modulators with a fast rise time of several tens of nanoseconds. Five types of switches, including insulated gate bipolar transistor (IGBT) and silicon carbide metal–oxide–semiconductor field-effect transistor (SiC-MOSFET), were analyzed to select a discharge switch in addition to a comparison considering their rise time, arc reliability, and cost. A test circuit was designed and used to compare the rise time of semiconductor switches. Finally, a 1200-V/40-A IGBT was selected as the best performing discharge switch. The rise time and cost of the selected IGBT were up to 30% slower than and 1/6 those of the comparison SiC-MOSFET, respectively. The selected IGBT was employed in a high-voltage pulsed power modulator with specifications of 10 kV, 80 A, a maximum repetition rate of 50 kHz, and a minimum pulsewidth of 100 ns. The modulator exhibited a rise time of 18 ns or less and an operating repetition rate of 50 kHz. Finally, the fast rise time of the selected switch and its arc reliability was verified.