Miracle-dz/UniFAR-FTUs huggingface dataset:
Partial characterization of digestive proteases in Pacific red snapper Lutjanus peru Nichols & Murphy, 1922 (Perciformes: Lutjanidae)

Pacific red snapper (Lutjanus peru) is an important commercial species in Mexico with great aquaculture potential; however, digestive physiology is still unknown. Therefore, the objective of the present work was to characterize the digestive proteases of L. peru juvenile using biochemical and electrophoretic techniques. Results showed a higher acid protease activity than the alkaline proteases, trypsin, chymotrypsin, and leucine aminopeptidase (LAP). The optimum temperature for acid proteases was between 30 to 40°C. Trypsin activity showed two maximum peaks of temperature (30 and 50°C), while alkaline proteases, chymotrypsin, and LAP had optimum temperatures of 50, 50 to 60, and 40°C, respectively. Moreover, the optimum pH of acid proteases was between 2 and 3. Also, alkaline proteases, trypsin, chymotrypsin showed pH optimums at pH 6, 9, and 5, respectively, although LAP showed two optimum pH values at 6 and 9. Acid protease zymogram showed three isoforms, totally inhibited by pepstatin A. Alkaline protease zymogram revealed six bands (125.4, 67.2, 57.9, 48.6, 29.8, and 26.9 kDa), which were inhibited by specific serine-proteases and metalloproteases inhibitors. In conclusion, the main digestion in L. peru depends on stomach proteases, which are characteristic of carnivorous fish, followed by intestinal digestion supported mainly by chymotrypsin.
Screening and Selection of One Hundred Flax (Linum usitatissimum) Accessions for Yield Production

ABSTRACT Flax is cultured for fiber and oil production around the world. The demand for flax is increasing in industries each year. In order to screening and selection of 86 accessions from five subspecies along with 19 unknown accessions, the seeds of the accessions were cultured in a randomized complete block design with three replications. The experiment took two years in Karaj, Iran. ANOVA results showed that the accessions and their interaction with year had significant effects on the measured traits (P < .05 or 0.01). Our results showed a substantial level of diversity among the accessions with respect to the measured traits. Based on correlation analysis, there were positive and significant relationships between seed yield (SY) and number of basal branches (NBB), capsules per main branch (CMB), number of capsules and seeds per plant (CP and NSP). Multiple linear regression analysis indicated that the predicting model explained 99% of flax yield variation in which the CP, NSP, and TSW were effective traits in describing the variation. Cluster analysis categorized the 100 accessions into seven clusters. Our results suggested that accessions ‘19ʹ and ‘35ʹ from the first and the third clusters could be cultivated as promising genotypes for SY and fiber production, respectively.
Simple and rapid surface-enhanced Raman Spectroscopy assay for safranine T and its application in highly sensitive determination of mercury (Ⅱ)

ABSTRACT A simple and sensitive surface-enhanced Raman spectroscopy (SERS) method for the detection of safranine T (ST) and Hg2+ using silver nanoparticles (AgNPs) as substrate was developed. ST can absorb on the surface of AgNPs through electrostatic interaction, the electromagnetic effect combined with chemical adsorption effect give a notable Raman enhancement for ST. The presence of Hg2+ well decreased the absorbed ST molecules on AgNPs, leading to a significant decrease of SERS signals thus enabling to detect Hg2+. The determination conditions for SERS, including the amount of AgNPs, the concentration of NaCl, the concentration of HCl, the concentration of ST and the reaction time, were optimised. Under the optimised experimental conditions, good linear responses were obtained for ST and Hg2+ in the concentration ranges of 0.01–4.0 μmol L−1 (3.5–1403.4 ng mL−1) and 0.01–2.0 μmol L−1 (2.0–401.2 ng mL−1), the limit of detection were 3.0 nmol L−1 (1.1 ng mL−1) and 2.0 nmol L−1 (0.4 ng mL−1), respectively. The present method was subsequently applied to the determination of ST in tomato sauces and Hg2+ in environmental waters, the recoveries of ST and Hg2+ in spiked samples are 95.5–107.8% and 91.4–110.8 %, respectively.
Surrounding Vehicles’ Contribution to Car-Following Models: Deep-Learning-Based Analysis

Relatively recent increased computational power and extensive traffic data availability have provided a unique opportunity to re-investigate drivers’ car-following (CF) behavior. Classic CF models assume drivers’ behavior is only influenced by their preceding vehicle. Recent studies have indicated that considering surrounding vehicles’ information (e.g., multiple preceding vehicles) could affect CF models’ performance. An in-depth investigation of surrounding vehicles’ contribution to CF modeling performance has not been reported in the literature. This study uses a deep-learning model with long short-term memory (LSTM) to investigate to what extent considering surrounding vehicles could improve CF models’ performance. This investigation helps to select the right inputs for traffic flow modeling. Five CF models are compared in this study (i.e., classic, multi-anticipative, adjacent-lanes, following-vehicle, and all-surrounding-vehicles CF models). Performance of the CF models is compared in relation to accuracy, stability, and smoothness of traffic flow. The CF models are trained, validated, and tested by a large publicly available dataset. The average mean square errors (MSEs) for the classic, multi-anticipative, adjacent-lanes, following-vehicle, and all-surrounding-vehicles CF models are 1.58 × 10−3, 1.54 × 10−3, 1.56 × 10−3, 1.61 × 10−3, and 1.73 × 10−3, respectively. However, the results show insignificant performance differences between the classic CF model and multi-anticipative model or adjacent-lanes model in relation to accuracy, stability, or smoothness. The following-vehicle CF model shows similar performance to the multi-anticipative model. The all-surrounding-vehicles CF model has underperformed all the other models.
Unboxing Childhood: Risk and Responsibility in the Age of YouTube

In this article, we look to viewer responses to James Bridle’s TED Talk on children’s YouTube to learn about the discursive landscape of childhood in the digital age. We first situate concerns about children’s use of YouTube within a history of moral panic and then conduct a thematic analysis of online comments to discover what viewers identify as the central concerns. We “unbox” three emergent themes of responsibility—corporate, parental, and societal—to understand how these themes might help us think about contemporary discourses of childhood “at risk,” critical media literacy, and children’s agency as social actors on the Internet.
Constraining Global Marine Iron Sources and Ligand‐Mediated Scavenging Fluxes With GEOTRACES Dissolved Iron Measurements in an Ocean Biogeochemical Model

Iron is a key micronutrient controlling phytoplankton growth in vast regions of the global ocean. Despite its importance, uncertainties remain high regarding external iron source fluxes and internal cycling on a global scale. In this study, we used a global dissolved iron data set, including GEOTRACES measurements, to constrain source and scavenging fluxes in the marine iron component of a global ocean biogeochemical model. Our model simulations tested three key uncertainties: source inputs of atmospheric soluble iron deposition (varying from 1.4 to 3.4 Gmol/yr), reductive sedimentary iron release (14–117 Gmol/yr), and compared a variable ligand parameterization to a constant distribution. In each simulation, scavenging rates were tuned to reproduce the observed global mean iron inventory for consistency. The variable ligand parameterization improved the global model‐data misfit the most, suggesting that heterotrophic bacteria are an important source of ligands to the ocean. Model simulations containing high source fluxes of atmospheric soluble iron deposition (3.4 Gmol/yr) and reductive sedimentary iron release (114 Gmol/yr) further improved the model most notably in the surface ocean. High scavenging rates were then required to maintain the iron inventory resulting in relatively short surface and global ocean residence times of 0.83 and 7.5 years, respectively. The model simulates a tight spatial coupling between source inputs and scavenging rates, which may be too strong due to underrepresented ligands near source inputs, contributing to large uncertainties when constraining individual fluxes with dissolved iron concentrations. Model biases remain high and are discussed to help improve global marine iron cycle models.
Evaluation of durability against wetting and drying cycles of cement-natural rubber latex stabilised unpaved road under cyclic tensile loading

ABSTRACT Cement stabilised unpaved roads have been implemented worldwide in both developed and developing countries. In this research project, natural rubber latex (NRL) was used to improve the durability against wetting and drying (w-d) cycles of cement stabilised soil, under cyclic tensile loads. The influences of NRL replacement ratio on the indirect tensile strength (ITS), indirect tensile resilient modulus (IT Mr), and indirect tensile fatigue life (ITFL) prior to and after w-d cycles were studied. Cement-NRL stabilised soil was found to have superior resilient properties to minimise the plastic deformation and prevent sudden damage against the repetitive tensile stresses. The NRL replacement could improve the durability against w-d cycles of cement stabilised soil whereby the highest ITS, IT Mr, and ITFL were found at the optimum NRL replacement ratio of 20% for all number of w-d cycles tested. NRL was found to enhance the service life of cement stabilized soil as an unpaved material against fatigue cracking failure. The outcome of this research will promote the usage of NRL, which is available in plentiful supply in Thailand and other Southeast Asian and South American countries, as a sustainable additive in pavement applications.
Structural Equation Modeling Multi-group of Science Process Skills and Cognitive in PjBL Integrated STEAM Learning

In Science, students tend to use the ability, which is dominantly controlled by their left-hemisphere brain. This study explores how science process skills (SPS) affect cognitive learning achievement (CLA) of dominantly right-brained and left-brained students. By applying project-based learning on the topic that integrates STEAM elements, this research examines the differences of the effects among those groups. The respondents were 32 8th-grade students from two randomly selected intact classes. This study employed a test to measure exogenous (SPS) and endogenous (CLA) latent variables. The partial least square - structural equation modeling (PLS-SEM) and multi-group PLS-SEM were employed to analyze the results. The evaluation of the outer model shows that both latent variables were valid and reliable. The factor loading value for all indicators of each latent variable was over 0.7. The cross-loading value indicates a higher correlation between the latent variable and its indicators compared to the other variables' indicators. The composite reliability and Cronbach's alpha values were over 0.7. The significance test shows that all indicators of each latent variable were valid. The evaluation of the inner model through the significance test (α=5%) suggests that the science process skill influenced CLA with a coefficient of 0.907. Meanwhile, the 0.822 R-square value demonstrates the variability of the SPS can explain the variability of CLA of 82.2%. The multi-group-SEM test reveals a difference in the effect of SPS toward CLA among dominantly right-brained and left-brained students. While the path coefficient for the former was 0.94, the latter was 0.881.
An ontology matching approach for semantic modeling: A case study in smart cities

This paper investigates the semantic modeling of smart cities and proposes two ontology matching frameworks, called Clustering for Ontology Matching‐based Instances (COMI) and Pattern mining for Ontology Matching‐based Instances (POMI). The goal is to discover the relevant knowledge by investigating the correlations among smart city data based on clustering and pattern mining approaches. The COMI method first groups the highly correlated ontologies of smart‐city data into similar clusters using the generic k‐means algorithm. The key idea of this method is that it clusters the instances of each ontology and then matches two ontologies by matching their clusters and the corresponding instances within the clusters. The POMI method studies the correlations among the data properties and selects the most relevant properties for the ontology matching process. To demonstrate the usefulness and accuracy of the COMI and POMI frameworks, several experiments on the DBpedia, Ontology Alignment Evaluation Initiative, and NOAA ontology databases were conducted. The results show that COMI and POMI outperform the state‐of‐the‐art ontology matching models regarding computational cost without losing the quality during the matching process. Furthermore, these results confirm the ability of COMI and POMI to deal with heterogeneous large‐scale data in smart‐city environments.
Uncertainty management in organizational crisis communication: the impact of crisis responsibility uncertainty and attribution-based emotions on publics' further crisis information seeking

PurposeAlthough uncertainty has been identified as a key crisis characteristic and a multi-faceted construct essential to effective crisis management research and practice, only a few studies examined publics' perceived uncertainty with a focus on crisis severity uncertainty, leaving crisis responsibility uncertainty uninvestigated in organizational crisis settings.Design/methodology/approachTo close this research gap empirically, this study employed data from an online survey of a total of 817 US adults to examine how participants' crisis responsibility uncertainty and their attribution-based crisis emotions might impact their crisis responses such as further crisis information seeking.FindingsFirst, findings show that participants' crisis responsibility uncertainty was negatively associated with their attribution-independent (AI) crisis emotions (i.e. anxiety, fear, apprehension and sympathy) and external-attribution-dependent (EAD) crisis emotions (i.e. disgust, contempt, anger and sadness), but positively associated with internal-attribution-dependent (IAD) crisis emotions (i.e. guilt, embarrassment and shame). Second, crisis responsibility uncertainty and AI crisis emotions were positive predictors for participants' further crisis information seeking. Third, AI crisis emotions and IAD crisis emotions were parallel mediators for the relationship between participants' crisis responsibility uncertainty and their further crisis information seeking.Practical implicationsOrganizations need to pay attention to the perceived uncertainty about crisis responsibility and attribution-based crisis emotions since they can impact the decision of seeking crisis information during an ongoing organizational crisis.Originality/valueThis study improves uncertainty management in organizational crisis communication research and practice, connecting crisis responsibility uncertainty, attribution-based crisis emotions and publics' crisis information seeking.
Vortex-Induced Vibration Suppression of Bridges by Inerter-Based Dynamic Vibration Absorbers

The vortex-induced vibration may cause fatigue of a bridge structure, affecting the safety of vehicles and the comfort of pedestrians. Inerter is a two-terminal device, which has been applied in many areas. This paper studies the problem of suppressing the vortex-induced vibration of a bridge by using an inerter-based dynamic vibration absorber (IDVA). The performances in terms of the suspension travel and the vertical displacement of the bridge with different IDVAs in suppressing vortex-induced vibration are compared, and the effect of the installation position of IDVA on the performance of suppressing vortex-induced vibration is shown. The performance indexes for the vertical displacement of six IDVA arrangements are obtained by using an iterative method, where the performance indexes for the vertical displacement are minimized by using the optimization toolbox in a commercial software. The result shows that the optimal installation positions and the number of suitable installation positions are affected by the resonant mode. Among the six arrangements, one arrangement is identified to have the best performance of suppressing vortex-induced vibration. All the six arrangements have reduced the suspension travel performance.
Olfactory cues of large carnivores modify red deer behavior and browsing intensity

Abstract This study examined the effect of perceived predation risk imposed by lynx (Lynx lynx) and wolf (Canis lupus) on red deer (Cervus elaphus) foraging behavior under experimental conditions. We hypothesized that in response to large carnivore scent red deer would increase their vigilance, although reducing the frequency and duration of visits to foraging sites. Consequently, browsing intensity on tree saplings was expected to decrease, whereas a higher proportion of more preferred species was expected to be browsed to compensate for higher foraging costs. We expected stronger responses towards the ambush predator lynx, compared with the cursorial predator wolf. These hypotheses were tested in a cafeteria experiment conducted within three red deer enclosures, each containing four experimental plots with olfactory cues of wolf, lynx, cow, and water as control. On each plot, a camera trap was placed and browsing intensity was measured for one consecutive week, repeated three times. Red deer reduced their visitation duration and browsing intensity on plots with large carnivore scent. Despite red deer showing a clear preference for certain tree species, the presence of large carnivore scent did not change selectivity towards different tree species. Contrary to our hypothesis, we found more pronounced effects of wolf (cursorial) compared with lynx (ambush). This study is the first to experimentally assess the perceived risk effects on the red deer foraging behavior of large carnivores differing in hunting modes. Our findings provide insights into the role of olfactory cues in predator–prey interactions and how they can modify fine-scale herbivore–plant interactions.
The Impact of Knowledge Management on Service Quality of News Researcher in XYZ Television

The main objective of this research is to find out whether there is an impact of the implementation of knowledge management (KM) on the service quality of the news researcher (NR) work unit in the news divisions at XYZ Television. The positive influence of KM is expected to improve the service quality provided to news producers as users. So that it also has a positive or increasing impact on the quality of the news produced. This type of research is applied research, with experimental research methods. According to the level of exploration, this study uses a comparative method by comparing the results before and after the implementation of KM. According to the type of data, this study uses qualitative data. For this reason, a survey was conducted using a questionnaire before and after the implementation of KM to 28 news producers as respondents. These respondents were the total population of users who are received NR services. The rating scale used is a Likert scale. The statistical test used for this study used paired sample t-test using IBM SPSS 25, which tests the hypothesis whether there is a significant impact of KM implementation. This study has proven that the application of KM can improve the service quality of NR. This increase is indicated by the significance value of the service before and after the implementation of KM. So that this research is expected to contribute to the improvement of service quality in each work unit of news researchers in television media in Indonesia, especially in the news division.
From the application of active teaching methods to significant learning in Cellular and Molecular Biology: exploring possibilities with Problem Based Learning

Cellular and Molecular Biology contents are discussed in high school integrated to discipline Biology. However, the success of these reflections in higher education is compromised by the unavailability or restriction of the application of active teaching methods, because the students have little familiarity with terms used and these contents are not yet fully discussed, aiming at significant learning. This Teaching Research was the result of a graduate teaching practice and explored the possibility that Problem-Based Learning (PBL) facilitates the significant acquisition of themes in Cellular and Molecular Biology by students from a public institution of higher education in northeastern Brazil. This graduate teaching practice provided to graduate student the opportunity to experience, learn and test innovative teaching and research techniques, and to build new skills. After PBL employment, students acquired competences that would probably not be developed in other common activities with the same effectiveness, and students with learning difficulties in Cellular and Molecular Biology contents or in relationships with their classmates have improved their performance and affectivity. Thus, we suggest the PBL as a pedagogical support to teaching practice, for contributing to making students active in the teaching-learning process and improve the perception of the concreteness of the studied knowledge.
Experiences of social frailty among rural community-dwelling and assisted-living older adults: a qualitative study

Abstract Although social frailty has been described from a theoretical perspective, the lived experiences of older adults regarding social frailty are yet unknown. In this paper, we aim to (a) gain more in-depth insights into community-dwelling and assisted-living older adults’ experiences of social frailty and (b) explore the differences in these experiences between these two groups. We conduct a thematic analysis of 38 interviews with community-dwelling and assisted-living older adults in rural villages the Netherlands. We structure our findings along three overarching themes which highlight different aspects of the social frailty experiences of our participants: (a) present resources and activities to fulfil social needs, (b) resources and activities that have been lost, and (c) how they manage and adapt to changes in resources and activities over time. Loneliness is only reported among the community-dwelling participants, while the loss of mobility and participation in (social) activities is experienced most strongly by the assisted-living participants. These findings challenge the widespread policies and practices of ageing in place. We conclude that for some older adults, living in assisted arrangements is preferred over ageing in place, as doing so can prevent social frailty. The key reason for this is that life in assisted living is likely to bring about new social resources and activities, which may serve to fulfil the social needs of older adults.