Miracle-dz/UniFAR-FTUs huggingface dataset:
Facile fabrication of Co2CuS4 nanoparticle anchored N-doped graphene for high-performance asymmetric supercapacitors

A novel strategy for the synthesis of high-quality ternary cobalt copper sulfide nanoparticles (NPs) anchored on nitrogen doped graphene nanosheets (Co2CuS4/NG) was developed via a one-pot solvothermal method. FE-SEM and TEM images showed that the Co2CuS4 NPs with an average size of ∼21 nm were anchored to NG nanosheets. The NG nanosheets provide a large surface area to reduce self-aggregation and confine the shape of the Co2CuS4 NPs for a highly conductive network to boost the charge transport properties of energy storage devices. Impressively, the synergetic Co2CuS4/NG composite showed a high specific capacitance of ∼1005 F g−1 at 1 A g−1, excellent rate capability (770 F g−1 at 50 A g−1), and outstanding stability (96.3% capacitance retention after 5000 cycles). The electrochemical performance of the Co2CuS4/NG composite was superior to that of monometallic CoS/NG, Cu2S/NG composite, pure Co2CuS4, and NG. An asymmetric supercapacitor device fabricated using the Co2CuS4/NG composite as the positive electrode material and NG as the negative electrode material illustrates the outstanding performance for practical energy storage devices. The asymmetric supercapacitor device delivers superb energy density (53.3 W h kg−1), high power density (∼10 936 W kg−1 at 38.4 W h kg−1), and a long-cycle life (∼4000 times).
Synchronization in Non-Mirror-Symmetrical Chirogenesis: Non-Helical π-Conjugated Polymers with Helical Polysilane Copolymers in Co-Colloids

A curious question is whether two types of chiroptical amplifications, called sergeants-and-soldiers (Ser-Sol) and majority-rule (Maj) effects, between non-charged helical copolymers and non-charged, non-helical homopolymers occur when copolymer encounter homopolymer in co-colloids. To address these topics, the present study chose (i) two helical polysilane copolymers (HCPSs) carrying (S)- or (R)-2-methylbutyl with isobutyl groups as chiral/achiral co-pendants (type I) and (S)- and (R)-2-methylbutyl groups as chiral/chiral co-pendants (type II) and (ii) two blue luminescent π-conjugated polymers, poly[(dioctylfluorene)-alt-(trans-vinylene)] (PFV8) and poly(dioctylfluorene) (PF8). Analyses of circular dichroism (CD) and circularly polarized luminescence (CPL) spectral datasets of the co-colloids indicated noticeable, chiroptical inversion in the Ser-Sol effect of PFV8/PF8 with type I HCPS. PF8 with type IIHCPS showed the anomalous Maj rule with chiroptical inversion though PFV8 with type IIHCPS was the normal Maj effect. The noticeable non-mirror-symmetric CD-and-CPL characteristics and marked differences in hydrodynamic sizes of these colloids were assumed to originate from non-mirror-symmetrical main-chain stiffness of HCPSs in dilute toluene solution. The present chirality/helicity transfer experiments alongside of previous/recent publications reported by other workers and us allowed to raise the fundamental question; is mirror symmetry on macroscopic levels in the ground and photoexcited states rigorously conserved?
Evidence use as sociomaterial practice? A qualitative study of decision-making on introducing service innovations in health care

ABSTRACT A policy aspiration is that evidence should inform decision-making on introducing health service innovations. Internationally, innovation adoption has historically been slow and patchy. Three innovations in the English and Scottish National Health Service were analysed qualitatively: stroke service reconfiguration; revised national guidance on cancer referral; and ‘virtual’ glaucoma outpatient clinics. The authors identify three sociomaterial mechanisms through which evidence and context shape each other in decision-making: connecting, ordering, resisting. Shared preferences for research evidence enabled the medical profession to exert influence on decision-making, while other professions used alternative evidence. Implications for promoting inclusive public management around service innovations are discussed.
IoT Based Real-Time Monitoring of Phytoremediation of Wastewater using the Mathematical Model Implemented on the Embedded Systems

: This paper presents the Internet of things (IoT) technology for real-time monitoring of wastewater phytoremediation. Phytoremediation is a technique to remove pollutants from the wastewater using the plants. A conventional method to monitor the phytoremediation performance is by taking the samples of the contaminants from a site and measuring them at the laboratory. This method needs many works for data preparation and analysis. A recent development on the IoT technology may eliminate such tasks by a real-time monitoring system. In the proposed real-time monitoring system, several phytoremediation models are implemented on embedded hardware and connected to the Thingspeak IoT platform. The proposed system aims to provide a real-time monitoring system to better model the phytoremediation by examining the monitoring data time interval and fitting techniques. From the experiments, the proposed monitoring system achieves a data transfer reliability of 81.4% when the period of the data transmission is one minute, which is suitable for one-day interval real-time monitoring system. The proposed monitoring system can build a phytoremediation model using a polynomial fitting with a higher fit than the existing methods using an exponential fitting. Further, the proposed method promises a better solution in terms of the best model, the low cost, and the acceptable accuracy.
A Scale Adaptive Turbulence Model for the Dry Convective Boundary Layer

A scale adaptive model is developed for the representation of dry convective boundary layer (CBL) turbulence in numerical models operating at O(100 m - 1 km) horizontal resolution, also known as the model gray zone of the CBL. The new model is constructed based on a planetary boundary layer (PBL) scheme and a large-eddy simulation (LES) closure that are both turbulence kinetic energy-based parameterizations. Scale adaptivity is achieved by “blending” the PBL scheme with the LES closure through an inverse averaging procedure that naturally accounts for vertical variations of the dominant turbulent length scales, hence the gray zone range. High-resolution wide-domain LES benchmark cases covering a broad range of CBL bulk stability are filtered to gray zone resolutions, and analyzed to determine the averaging coefficients. Stability dependence of the dominant length scales is revealed by the analysis and accounted for in the new model. The turbulence model is implemented into a community atmospheric model, and tested for idealized cases. Compared to two established gray zone models, the new model performs equally well under strongly convective conditions, and is more advantageous for the weakly unstable and near neutral CBL.
Discarded fish on the Spanish Mediterranean coast: influence of season on fatty acids profiles

This work focused on determining the fatty acid (FA) composition of commonly discarded fish on the Spanish Mediterranean coast in winter and summer to assess their potential use as raw sources of very long-chain polyunsaturated fatty acids (VLCPUFAs). Total n-3 VLCPUFA content significantly varies depending on capture season, and values were higher in winter for Pomadasys incisus (1.36 g/100 g), Chelidonichthys lucerna (1.67 g/100 g) and Trachinus draco (2.04 g/100 g), while Pagellus acarne had larger n-3 PUFA amounts in summer (3.89 g/100 g). Generally for most species, monounsaturated FA, eicosapentaenoic acid (20:5n-3) and total FA had higher values in summer, while both the n-3 VLCPUFA fraction and DHA content were higher in winter. Knowledge of these changes allows the processes for their proper use as valuable PUFA sources to be adjusted. The discarded fish herein studied could be generally considered to be raw n-3 VLCPUFAs sources.
A Transactional, Whole-School Approach to Resilience

In contrast to the earlier understandings of resilience for the select, invulnerable few, an ecological perspective provides the opportunity for all children to develop resilience given resilience-enhancing, protective social contexts. In this chapter, the author explores a transactional-ecological perspective of resilience in the context of educational systems, underlining the limitations of an overreliance on the individual in resilience building. The chapter presents a transactional, whole-school, resilience framework for educational systems informed by the research evidence, focusing on both curricular competence-building and contextual processes across multiple systems. The chapter concludes with an illustration of a recent resilience program, RESCUR Surfing the Waves, informed by this approach.
An Overview of the Lagrangian Dispersion Modeling of Heavy Particles in Homogeneous Isotropic Turbulence and Considerations on Related LES Simulations

Particle tracking is a competitive technique widely used in two-phase flows and best suited to simulate the dispersion of heavy particles in the atmosphere. Most Lagrangian models in the statistical approach to turbulence are based either on the eddy interaction model (EIM) and the Monte-Carlo method or on random walk models (RWMs) making use of Markov chains and a Langevin equation. In the present work, both discontinuous and continuous random walk techniques are used to model the dispersion of heavy spherical particles in homogeneous isotropic stationary turbulence (HIST). Their efficiency to predict particle long time dispersion, mean-square velocity and Lagrangian integral time scales are discussed. Computation results with zero and no-zero mean drift velocity are reported; they are intended to quantify the inertia, gravity, crossing-trajectory and continuity effects controlling the dispersion. The calculations concern dense monodisperse spheres in air, the particle Stokes number ranging from 0.007 to 4. Due to the weaknesses of such models, a more sophisticated matrix method will also be explored, able to simulate the true fluid turbulence experienced by the particle for long time dispersion studies. Computer evolution and performance since allowed to develop, instead of Reynold-Averaged Navier-Stokes (RANS)-based studies, large eddy simulation (LES) and direct numerical simulation (DNS) of turbulence coupled to Generalized Langevin Models. A short review on the progress of the Lagrangian simulations based on large eddy simulation (LES) will therefore be provided too, highlighting preferential concentration. The theoretical framework for the fluid time correlation functions along the heavy particle path is that suggested by Wang and Stock.
Sugarcane Juice Processing: Microbiological Monitoring

This study was undertaken to evaluate a pilot plant designed for sugarcane juice processing. The juice was extracted in an electric mill and acidified with citric acid until the pH of 4.3. Next, it was pasteurized in a plate heat exchanger at 95°C/30 sec, cooled to 10°C before being filled into a plastic bottle and induction sealed. Product filling was performed in an ISO class 5 unidirectional air-flow cabins. Three batches of acidified sugarcane juice were produced. The qualities of the raw material, rinse water of the processing and filling line, packaging and end product were all microbiologically evaluated. Hedonic scale tests were used to evaluate the sensory acceptance of the product. The total mean counts in mesophilic culture of molds and yeasts from the natural, fresh sugarcane juice were (6.26 and 5.20) log CFU/mL, respectively. These mean counts, in both rinse water samples of the processing line and the bottles, were lower than 1 log CFU/mL. The mean counts of molds and yeasts in acidified and pasteurized sugarcane juice were (2.63 and lower than 1) log CFU/mL, respectively. The findings indicated that the procedures that were evaluated met standards for acidified sugarcane juice to be produced then stored under refrigeration.
A Model of Lecturer Performance Evaluation: Sustainable Lecturer Performance Mapping

Sustainable lecturer performance mapping needed a valid evaluation model. The absence of such a model brings about lecturer performance evaluation which was neither systematic nor sustainable. The study aimed to develop a valid and reliable model of lecturer performance evaluation. This research was a development research model. The model developed in the study has two components, namely: (1) computer application containing instrument to measure the lecturer performance, scoring guide, accomplishment criteria and their syntax; and (2) the user's guide for the application. The lecturer performance instruments were analyzed using content validity and construct validity. The instrument's content validity was proven by Aiken Formula, while the construct validity by Confirmatory Factor Analysis (CFA) and the instrument's reliability was estimated by Cronbach Alpha Formula. MANOVA was used as the hypothesis test of the implementation toward the models among the faculties. The result of trials on the model showed that all items of the instrument had met the content validity standard of 0.73, the construct of the lecturer performance instrument in learning (planning, process, and assessment) was in good categories. The results showed that the lecturer performance evaluation model was valid, reliable, and comprehensive. The results also showed that the performance of the Faculty of Math and Science lecturers in learning was the highest.
Effects of Land Use and Pollution Loadings on Ecotoxicological Assays and Bacterial Taxonomical Diversity in Constructed Wetlands

Freshwater ecosystems are affected by anthropogenic alterations. Different studies have extensively studied the concentrations of metals, nutrients, and water quality as measurements of pollution in freshwater ecosystems. However, few studies have been able to link these pollutants to bioindicators as a risk assessment tool. This study aimed to examine the potential of two bioindicators, plant ecotoxicological assays and sediment bacterial taxonomic diversity, in ecological risk assessment for six freshwater constructed wetlands in a rapidly urbanizing watershed with diverse land uses. Sediment samples were collected summer, 2015 and 2017, and late summer and early fall in 2016 to conduct plant ecotoxicological assays based on plant (Lepidium, Sinapis and Sorghum) growth inhibition and identify bacterial taxonomical diversity by the 16S rRNA gene sequences. Concentrations of metals such as lead (Pb) and mercury (Hg) (using XRF), and nutrients such as nitrate and phosphate (using HACH DR 2800TM spectrophotometer) were measured in sediment and water samples respectively. Analyses of response patterns revealed that plant and bacterial bioindicators were highly responsive to variation in the concentrations of these pollutants. Hence, this opens up the scope of using these bioindicators for ecological risk assessment in constructed freshwater wetland ecosystems within urbanizing watersheds.
The Consequences of Incongruent Abusive Supervision: Anticipation of Social Exclusion, Shame, and Turnover Intentions

We investigated the turnover intentions of employees who perceive that they are being treated with more or less abusive supervision than their coworkers. We call this incongruent abusive supervision. Our findings support our theory that employees associate incongruent abusive supervision with the anticipation of social exclusion from their coworkers. Furthermore, this appraisal of social exclusion threat is associated with feelings of shame, which, in turn, increase turnover intentions. Two experimental vignettes provide support for our theoretical model. These findings demonstrate the effect that incongruent abusive supervision has on employees’ reactions to abusive supervision and introduces shame as an emotional mechanism important for understanding employee responses to supervisor abuse both when they are singled out for abuse and when they are spared abuse while their coworkers are not.
Encapsulation of probiotic strain Lactobacillus rhamnosus GG with black bean extract in alginate-pectin microcapsules

Aims: Probiotics are claimed to confer many health effects upon consumption. However, the survivability of probiotic under the harsh conditions in the gastrointestinal tract has been a challenge. This study aimed to improve the survivability of Lactobacillus rhamnosus GG under gastrointestinal condition through co-extrusion microencapsulation and the addition of black bean extract. Methodology and results: Optimization was carried out on wall material formulation, types of pectin (low and high methoxyl pectin) and alginate: pectin ratio (2:1 and 3:1), and black bean extract concentration (0 to 1% w/v) to produce capsules with desired properties. The effect of L. rhamnosus GG microencapsulation with and without black bean extract on its survivability under simulated gastrointestinal conditions was also investigated. The optimal formulation that gives the highest microencapsulation efficiency (86.17%) was low methoxyl pectin, alginate: pectin ratio at 3:1, and 0.5% (w/v) of black bean extract. The inclusion of black bean extract into L. rhamnosus GG microencapsulation showed no significant effect (p >0.05) on the capsule diameter, with a mean diameter of 715.44 μm and a high microencapsulation efficiency of 97.4%. The viability of encapsulated L. rhamnosus GG increased with black bean extract after 6 h of sequential digestion with the final viable cell count of 12.47 log10 CFU/mL, which meet the minimum requirement of 1010 log10 CFU/mL viable cells. Conclusion, significance and impact of study: The high microencapsulation efficiency and survivability through sequential digestion showed that the optimized encapsulated L. rhamnosus GG with black bean extract has the potential to be a value-added ingredient in food application.
Burnout Syndrome Prevention Measures among Nursing Staff: Implementing a Mobile Application based on MIT's App Inventor Tool using the Scratch Programming Code

This research study serves, on the one hand, to assess the prevalence of burnout among the nursing staff. On the other hand, to determine the socio-demographic and professional characteristics associated with burnout. The aim is to propose an interactive tool to cope with burnout. This is an observational study of a cross-sectional type, conducted among a population of 30 nurses over 4 months. A two sections self-administered survey was used to determine: 1) Sociodemographic and professional characteristics; 2) the Copenhagen Burnout Inventory to evaluate burnout. In total, 17% of nurses display a high level of burnout in both its dimensions and that more than 50% are highly susceptible to it. Moreover, 83% of participants agreed to use the technology as a solution. The proposed prevention solution to cope with burnout was developed by the scratch programming code using the app inventor tool, it consists of three online services (Training, Assessment, Support).
Revision of the genus Aciculosporium (Clavicipitaceae) with a description of a new species on wavyleaf basketgrass, and proline-containing cyclic dipeptide production by A. take

Abstract The genus Aciculosporium (Clavicipitaceae, Hypocreales, Ascomycota)was established in 1908 for A. take, which is the causal fungus of witches’ broom of bamboo. Although the original description was valid at that time, a type specimen for A. take has not been designated. To standardize the use of this genus and species name, a neotypification and reference specimen of A. take are proposed. Multilocus phylogenetic analyses based on DNA sequences from 28S rDNA, TEF, Tub2, Mcm7, and RPB2 revealed that A.sasicola is from a different lineage to A. take, and other specimens from wavyleaf basket grass (Oplismenus undulatifolius) represent a distinct species proposed here as Aciculosporium oplismeni sp. nov. Chemical analysis using mass spectrometry and nuclear magnetic resonance spectroscopy showed that A. take produces four proline-containing cyclic dipeptides, which are moieties of ergot alkaloids. However, ergot alkaloids, lolines, peramine, indole-diterpenes, and lolitrem were not detected in the culture solvent. This study offers clarification of the lineage and morphology of this genus.
Effects of dominance and female presence on secondary sexual characteristics in male tufted capuchin monkeys (Sapajus apella)

Abstract Alpha status may lead to physiological changes that enhance secondary sexual characteristics, which may serve as competitive signals to conspecific males, sexual signals to females, or possibly a combination of both. Here, we report measurements of secondary sexual characteristics in captive dominant and subordinate male tufted capuchin monkeys (Sapajus apella) with varying access to females. An adult male (who had previously been subordinate while housed with other males) was paired with an adult female. This male–female pair was introduced into a room that housed three other male–male pairs with stable hierarchy arrangements. We analyzed weight, body measurements, facial photographs, and hair cortisol before, during, and after introducing a female into the room. While there were no differences in weight or measurements between alphas and subordinates without physical access to the female prior to or during the female's presence, we found that direct access to the female resulted in dramatic changes in facial appearance, body size, and testicular volume in the male who was paired with her. Overall, we found little evidence to suggest that alpha males advertise their status within all‐male groups via sexual secondary characteristics. However, direct physical access to females appears to trigger the development of such characteristics in alpha males. It remains of continued interest to identify the endocrine mechanisms responsible for the development, and possible loss, of secondary sexual characteristics.
LANDSLIDE SUSCEPTIBILITY ASSESSMENT ALONG THE DUBAIR-DUDISHAL SECTION OF THE KARAKORAM HIGWAY, NORTHWESTERN HIMALAYAS, PAKISTAN

The primary objective of this study is to analyze and characterize landslides in North Pakistan along Karakoram Highway (KKH) to produce a landslide susceptibility map using GIS and remote sensing technology. Using satellite images followed by field investigations, spatial distribution of landslide database was generated. Next, an integrated study was undertaken in the study area to perform the landslide susceptibility mapping. Dubaur-Dudishal section of KKH (about 150 km) which is a part of Kohistan Island Arc, is investigated in this study with a buffer zone of about 8 km along both sides of the KKH. Several thematic maps, e.g., lithology, distance to faults, distance to streams, distance to roads, normalized difference vegetation index (NDVI), slope, aspect, elevation, relative relief, plan-curvature and profile-curvature were prepared. Subsequently, these thematic data layers were analyzed by frequency ratio (FR) model and weights-of-evidence (WoE) model to generate the landslide susceptibility maps. In order to check the accuracy of the models, the area under the curve (AUC) was to quantitatively compare the two models used in this study. The predictive ability of AUC values indicate that the success rates of FR model and WoE model are 0.807 and 0.866, whereas the prediction rates are 0.785 and 0.846, respectively. Both methods show that nearly 50 % landslides in the study area fall in either high or very high susceptibility zones. The landslide susceptibility maps presented in this study are of great importance to the policy makers and the engineers for highway construction as well as the mega dams construction projects (Dasu dam and Bhasha dam which lie within the vicinity of the study area); so that proper prevention as well as mitigation could be done in advance to avoid the possible economic as well as the human loss in future. ARTICLE INFO