Miracle-dz/UniFAR-FTUs huggingface dataset:
A structural equations approach applied to social innovation

Social innovation is a topic that has rapidly gained visibility during the last decades, where public organizations, private companies, and community groups are interested in developing more efficient and effective solutions to important societal challenges, such as poverty, demographic change, climate change, and unemployment. The University has been recognized for a long-time as a place of learning and academic research as well as a driver of economic growth, social mobility, and reducer of social inequality within and beyond its locality and region. Several researchers have advocated that the engagement of universities would foster the social innovation process, drawing on their existing resources and capabilities to benefit society at large. However, less is known about to relationship between creativity, entrepreneurial intention, and social innovation. Based on these arguments, the main aim of this study to investigate the effect of creativity and entrepreneurial intention on social innovation tendency within the academic community. The approach to empirical research adopted was a structural equation model. The sample used is comprised of students and professors or researchers from Portuguese universities. Confirmatory factor analysis supports the differentiation among the theoretical constructs, namely: self-creativity, creativity stimulated in the family, creativity stimulated in the university, entrepreneurial intention, and social innovation tendency. Results from the structural analysis support the suggestion that engagement in social innovation is positively related to self-creativity, family context, and entrepreneurial intention. Additionally, family role models seem to exert an effect on entrepreneurial intention. This study contributes to the body of social innovation literature at two levels of development: the core theoretical contributions are the research on social innovation tendency models and, at a broader level, on social innovation education. Particularly, this finding contributes to the line of research of social innovation tendency indicating that personality traits may have an essential role to play in developing theories of the entrepreneurial process.
Mechanistic Understanding of the Palmitoylation of Go Protein in the Allosteric Regulation of Adhesion Receptor GPR97

Adhesion G-protein-coupled receptors (aGPCRs)—a major family of GPCRs—play critical roles in the regulation of tissue development and cancer progression. The orphan receptor GPR97, activated by glucocorticoid stress hormones, is a prototypical aGPCR. Although it has been established that the palmitoylation of the C-terminal Go protein is essential for Go’s efficient engagement with the active GPR97, the detailed allosteric mechanism remains to be clarified. Hence, we performed extensive large-scale molecular dynamics (MD) simulations of the GPR97−Go complex in the presence or absence of Go palmitoylation. The conformational landscapes analyzed by Markov state models revealed that the overall conformation of GPR97 is preferred to be fully active when interacting with palmitoylated Go protein. Structural and energetic analyses indicated that the palmitoylation of Go can allosterically stabilize the critical residues in the ligand-binding pocket of GPR97 and increase the affinity of the ligand for GPR97. Furthermore, the community network analysis suggests that the palmitoylation of Go not only allosterically strengthens the internal interactions between Gαo and Gβγ, but also enhances the coupling between Go and GPR97. Our study provides mechanistic insights into the regulation of aGPCRs via post-translational modifications of the Go protein, and offers guidance for future drug design of aGPCRs.
THE MEDIATION ROLE OF PROBLEM SOLVING SKILLS ON THE RELATIONSHIP BETWEEN LEARNED RESOURCEFULNESS AND LONELINESS

The aim of the study was to examine the mediation role of problem solving skills on the relationship between learned resourcefulness and loneliness. Mediation model tested using data collected from 211 Turkish university students. Rosenbaum’s Self-Control Schedule, Problem-solving Inventory, and UCLA Loneliness Scale were used to collect the data in this study. The effect of learned resourcefulness on loneliness and the mediation role of problem solving skills in this relationship were analyzed by hierarchical multiple linear regression analysis. The significance of the mediation of problem solving skills was examined by the Sobel test. Analyses revealed that learned resourcefulness predicted loneliness significantly, and that problem solving skills showed full mediation in this relationship. When the effects of problem solving skills were controlled, learned resourcefulness could not predict loneliness, significantly. Findings of the study emphasized that the use of only cognitive strategies could relatively be less effective to reduce loneliness. However, using cognitive coping strategies, such as learned resourcefulness, along with behavioral processes could help weaken loneliness. Therefore, in the psycho-educational programs or counseling sessions, it would be useful to implement interventions that enhance problem solving skills whose behavioral aspect outweighs, and cognitive skills such as learned resourcefulness. The significance and limitations of the findings were discussed. Article visualizations:
Entanglement in Graph States and its Applications

Graph states form a rich class of entangled states that exhibit important aspects of multi-partite entanglement. At the same time, they can be described by a number of parameters that grows only moderately with the system size. They have a variety of applications in quantum information theory, most prominently as algorithmic resources in the context of the one-way quantum computer, but also in other fields such as quantum error correction and multi-partite quantum communication, as well as in the study of foundational issues such as non-locality and decoherence. In this review, we give a tutorial introduction into the theory of graph states. We introduce various equivalent ways how to define graph states, and discuss the basic notions and properties of these states. The focus of this review is on their entanglement properties. These include aspects of non-locality, bi-partite and multi-partite entanglement and its classification in terms of the Schmidt measure, the distillability properties of mixed entangled states close to a pure graph state, as well as the robustness of their entanglement under decoherence. We review some of the known applications of graph states, as well as proposals for their experimental implementation.
Planoplatessa gen. nov.—A New, Neglected Monoraphid Diatom Genus with a Cavum

A new monoraphid diatom genus, Planoplatessa gen. nov., is described on the basis of a detailed morphological investigation using light and scanning electron microscopy. We transferred Achnanthes joursacensis Héribaud, a species described from fossil deposits in France, to our new genus. We investigated material from Mongolia from Recent populations. This taxon is known from fossils to Recent across the Holarctic. Achnanthes joursacensis was previously transferred to the genera Planothidium and Platessa, but the morphology of A. joursacensis does not share all morphological features with these two genera. We discuss important morphological features for the delimitation of monoraphid genera based on careful morphological and molecular investigations we presented previously. Planoplatessa gen. nov. as a genus is characterized by having uniseriate striae on both the raphe and the rapheless valves, a cavum in rapheless valves only, and straight distal raphe ends on the valve face.
Potential Food and Nutraceutical Applications of Alginate: A Review

Alginate is an acidic polysaccharide mainly extracted from kelp or sargassum, which comprises 40% of the dry weight of algae. It is a linear polymer consisting of β-D-mannuronic acid (M) and α-L-guluronic acid (G) with 1,4-glycosidic linkages, possessing various applications in the food and nutraceutical industries due to its unique physicochemical properties and health benefits. Additionally, alginate is able to form a gel matrix in the presence of Ca2+ ions. Alginate properties also affect its gelation, including its structure and experimental conditions such as pH, temperature, crosslinker concentration, residence time and ionic strength. These features of this polysaccharide have been widely used in the food industry, including in food gels, controlled-release systems and film packaging. This review comprehensively covers the analysis of alginate and discussed the potential applications of alginate in the food industry and nutraceuticals.
Complete chloroplast genome and evolutionary analysis of Acer paihengii (Sapindales:Aceraceae)

Abstract In this study, the complete chloroplast genome of Acer paihengii, a tree species native to China, was sequenced and assembled through second-generation sequencing. The complete chloroplast genome of A. paihengii is 155,967 bp in length with a typical quadripartite structure, encompassing 130 genes including 85 protein-coding genes, 37 tRNA genes, and 8 rRNA genes. Phylogenetic analysis of 22 related species indicated that A. paihengii was more closely related to Acer coriaceifolium and Acer sino-oblongum.
Tackling the Critical Hurdles: Revising Technology-Based Ideation Processes

Technological innovations are crucial for a country’s economic growth as they often have radical innovation potential. Although recognized as a key role in the innovation process, lots of technologies remain unexploited. University spin-offs (USOs) have the potential to transfer technologies into technological innovations. Often though, in universities there is a lack of consideration of potential implementation right from the start. The so-called fuzzyfront end (FFE) stage is crucial for successful innovation, as no commercialization can be achieved without the identification of a suitable application. This represents a critical hurdle, as of to date appropriate approaches for a successful systematic identification and validation of technology applications are missing. Furthermore, most investigating studies rely on data from spin-offs that are already operating successfully on the market and have therefore survived the critical initial stages of development, without highlighting the FFE of their process. This fact makes the pre-development activity of opportunity recognition appear to be a scientifically neglected topic. In this research a mixed-method approach is conducted to investigate the critical hurdles in the technology application selection (TAS) process of technologies, consisting of an extended literature review, completed by interviews with stakeholder involved in the USOs ecosystem. Striving to uncover the black box of the FFE, the study aims to specify and operationalize requirements for application identification of technologies. These findings are of relevance for researchers and practitioners which like to facilitate the exploration of potential technological innovation.
Application of Breathing Exercises Using Ida Jean Orlando’s Dynamic Nurse-Patient Relationship Model in Overcoming Postoperative Hypoxia (POH) after Coronary Artery Bypass Grafting: A Case-Series

Background: Postoperative hypoxia (POH) is a complication that often occurs in patients after Coronary Artery Bypass Grafting (CABG). Breathing exercises are considered effective in overcoming POH after CABG. However, this intervention has not been implemented using the dynamic nurse-patient relationship model from Ida Jean Orlando. The dynamic nurse-patient relationship model is expected to improve the quality of nursing care after cardiac surgery.Purpose: This study aimed to describe the application of breathing exercises in postoperative hypoxia after CABG using the dynamic nurse-patient relationship model.Methods: This study was the summary of the case presentation along with the interventions on three patients after CABG through the dynamic nurse-patient relationship model approach with the main intervention focusing on breathing exercises.Results: After three days of implementing the intervention, most patients showed improvement in POH. This condition was evidenced by an increase in the PaO2/FiO2 ratio from less than 200 to above 200, with an average increase of 89.3. The blood gas analysis results supported the results from a respiratory alkalosis condition to a normal PH and a PaCO2 value from <35 mmHg to the normal range (35-45 mmHg). Also, X-rays of the patients showed pulmonary atelectasis improvement.Conclusion:Applying breathing exercises in postoperative hypoxia after CABG using the dynamic nurse-patient relationship model can improve POH in post-cardiac surgery patients. We recommend using the model theory approach because this theory can see patients’ psychological and physical changes dynamically in post-CABG patients.
Analytic methods for simulated light transport

This thesis presents new mathematical and computational tools for the simulation of light transport in realistic image synthesis. New algorithms are presented for exact computation of direct illumination effects related to light emission, shadowing, and first-order scattering from surfaces. New theoretical results are presented for the analysis of global illumination algorithms, which account for all interreflections of light among surfaces of an environment. First, a closed-form expression is derived for the irradiance Jacobian, which is the derivative of a vector field representing radiant energy flux. The expression holds for diffuse polygonal scenes and correctly accounts for shadowing, or partial occlusion. Three applications of the irradiance Jacobian are demonstrated: locating local irradiance extrema, direct computation of isolux contours, and surface mesh generation. Next, the concept of irradiance is generalized to tensors of arbitrary order. A recurrence relation for irradiance tensors is derived that extends a widely used formula published by Lambert in 1760. Several formulas with applications in computer graphics are derived from this recurrence relation and are independently verified using a new Monte Carlo method for sampling spherical triangles. The formulas extend the range of non-diffuse effects that can be computed in closed form to include illumination from directional area light sources and reflections from and transmissions through glossy surfaces. Finally, new analysis for global illumination is presented, which includes both direct illumination and indirect illumination due to multiple interreflections of light. A novel operator equation is proposed that clarifies existing deterministic algorithms for simulating global illumination and facilitates error analysis. Basic properties of the operators and solutions are identified which are not evident from previous formulations. A taxonomy of errors that arise in simulating global illumination is presented; these include perturbations of the boundary data, discretization error, and computational error. A priori bounds are derived for each category using properties of the proposed operators.
The Role of Trust in Forming a Social Innovation Service System

The promotion of social innovation requires the interaction of multiple actors in a network who exchange resources to create value for customers. Adopting the Service-Dominant logic perspective, this paper explores how trust influences the emergence and evolvement of a social innovation service system. Data from a case study of One4One reveals that trust guides the activities of the social impact business and other actors in the service system to search for collaborators in a network, to lead the exchange of resources in the system for co-value creation, and to deal with other actors through the evolvement of the system. The study's findings could inform practitioners’ practices conducive to creating a social innovation service system that aims to improve the quality of life for people in developing countries like Vietnam.
Phytosome as Cytotoxic agent delivering system : A Review

Along with the rapid development of herbal medicine formulas, an appropriate drug delivery system is needed to increase its bioavailability. One of them was used the phytosome. As a delivery system, it was known to be able to increase the bioavailability of phytomedicine by increasing the permeability of herbal compounds on cell membranes so the absorption of the compound will be increased. In its development, the phytosome formula was effective for delivering cytotoxic agent compounds, such as quercetin, diosgenin, icariin, tocopherol, and others. Besides, some of these formulas have also been commercialized and patented. The effectiveness and ease of manufacture have made phytosomes a promising drug delivery system in the development of cytotoxic drugs.
Growth and Photosynthetic Responses of Cowpea Genotypes under Waterlogging at the Reproductive Stage

Waterlogging is an important environmental stress limiting the productivity of crops worldwide. Cowpea (Vigna unguiculata L.) is particularly sensitive to waterlogging stress during the reproductive stage, with a consequent decline in pod formation and yield. However, little is known about the critical processes underlying cowpea’s responses to waterlogging during the reproductive stage. Thus, we investigated the key parameters influencing carbon fixation, including stomatal conductance (gs), intercellular CO2 concentration, chlorophyll content, and chlorophyll fluorescence, of two cowpea genotypes with contrasting waterlogging tolerance. These closely related genotypes have starkly contrasting responses to waterlogging during and after 7 days of waterlogging stress (DOW). In the intolerant genotype (‘EpicSelect.4’), waterlogging resulted in a gradual loss of pigment and decreased photosynthetic capacity as a consequent decline in shoot biomass. On the other hand, the waterlogging-tolerant genotype (‘UCR 369’) maintained CO2 assimilation rate (A), stomatal conductance (gs), biomass, and chlorophyll content until 5 DOW. Moreover, there was a highly specific downregulation of the mesophyll conductance (gm), maximum rate of Rubisco (Vcmax), and photosynthetic electron transport rate (Jmax) as non-stomatal limiting factors decreasing A in EpicSelect.4. Exposure of EpicSelect.4 to 2 DOW resulted in the loss of PSII photochemistry by downregulating the PSII quantum yield (Fv/Fm), photochemical efficiency (ΦPSII), and photochemical quenching (qP). In contrast, we found no substantial change in the photosynthesis and chlorophyll fluorescence of UCR 369 in the first 5 DOW. Instead, UCR 369 maintained biomass accumulation, chlorophyll content, and Rubisco activity, enabling the genotype to maintain nutrient absorption and photosynthesis during the early period of waterlogging. However, compared to the control, both cowpea genotypes could not fully recover their photosynthetic capacity after 7 DOW, with a more significant decline in EpicSelect.4. Overall, our findings suggest that the tolerant UCR 369 genotype maintains higher photosynthesis under waterlogging stress attributable to higher photochemical efficiency, Rubisco activity, and less stomatal restriction. After recovery, the incomplete recovery of A can be attributed to the reduced gs caused by severe waterlogging damage in both genotypes. Thus, promoting the rapid recovery of stomata from waterlogging stress may be crucial for the complete restoration of carbon fixation in cowpeas during the reproductive stage.
Physiological and Molecular Characteristics of Southern Leaf Blight Resistance in Sweet Corn Inbred Lines

Southern corn leaf blight is one of the most widespread foliar diseases in maize-producing areas worldwide and can seriously reduce the yield and quality of sweet corn. However, the molecular mechanisms underlying the disease in sweet corn have not been widely reported. In this study, two sweet corn inbred lines, resistant K13 (RK13) and susceptible K39 (SK39), were used to explore the disease resistance mechanism of southern leaf blight. We observed morphological characteristics and assessed the changes in protective enzymatic activity in sweet corn leaves after inoculation of C. heterostrophus. RNA-seq was performed to elucidate the transcriptional dynamics and reveal the key pathways involved in southern leaf blight resistance without pathogens (Mock) and at 1 and 3 days post inoculation (1 and 3 dpi). Differentially expressed genes (DEGs) were identified in the SK39 group (including three pairwise combinations: SK39−0d_vs_SK39−1d, SK39−1d_vs_SK39−3d and SK39−1d_vs_SK39−3d), the RK13 group (including three pairwise combinations: RK13−0d_vs_RK13−1d, RK13−1d_vs_RK13−3d and RK13−1d_vs_RK13−3d), and the SK39_vs_RK13 group (including three pairwise combinations: SK39−0d_vs_RK13−0d, SK39−1d_vs_RK13−1d, and SK39−3d_vs_RK13−3d). In our study, 9455 DEGs from the RK13 group, 9626 from the SK39 group, and 9051 DEGs from the SK39_vs_RK13 group were obtained. Furthermore, 2775, 163, and 185 DEGs were co-expressed at SK39_vs_RK13, RK13, and SK39, respectively. A functional analysis of the DEGs revealed that five pathways—i.e., photosynthesis, plant hormone signal transduction, MAPK signaling pathway, phenylpropanoid biosynthesis, and biosynthesis of secondary metabolites—and transcription factor families play crucial roles in disease resistance. The results from the present study enabled the identification of the JA and SA signaling pathways, which are potentially involved in the response to southern leaf blight in maize. Our findings also highlight the significance of ZIM transcription factors and pathogenesis-related (PR) genes during pathogen infection. This study preliminarily explored the molecular mechanisms of the interaction between sweet corn and C. heterostrophus and provides a reference for identifying southern leaf blight resistance genes in the future.
Mental Fatigue Effects on the Produced Perception of Effort and Its Impact on Subsequent Physical Performances

The purpose of this study was to investigate the relationship between mental fatigue induced by a demanding cognitive task and impaired physical performance in endurance due to a higher perception of effort. A total of 12 healthy adults and volunteers, who had previously practiced endurance activities for 4 to 8 h per week, performed a one-hour cognitive task involving either the process of response inhibition (Stroop task) or not (visualization of a documentary as control task), then 20 min of pedaling on a cycle ergometer at a constant perception of effort while cardio-respiratory and neuromuscular functions were measured. The Stroop task induces subjective feelings of mental fatigue (vigor: 3.92 ± 2.61; subjective workload: 58.61 ± 14.57) compared to the control task (vigor: 5.67 ± 3.26; p = 0.04; subjective workload: 32.5 ± 10.1; p = 0.005). This fatigue did not act on the produced perceived effort, self-imposed, and did not affect the cardio-respiratory or neuromuscular functions during the subsequent physical task whose type was medium-term endurance. Regardless of the mental condition, the intensity of physical effort is better controlled when the participants in physical activity control their perception of effort. Mental fatigue does not affect subsequent physical performance but estimated perceived exertion, which increases with the intensity and duration of the exercise.