Miracle-dz/UniFAR-FTUs huggingface dataset:
The Geometrodynamic Nature of the Quantum Potential

The de Broglie–Bohm theory allows us to have got a satisfactory geometrodynamic interpretation of quantum mechanics. The fundamental element, which creates a geometrodynamic picture of the quantum world in the non-relativistic domain, a relativistic curved space-time background, and the quantum gravity domain, is the quantum potential. It is shown that, in the non-relativistic domain, the geometrodynamic nature of the quantum potential followsfrom the fact that it is an information potential containing a space-like active information on the environment; the geometric properties of the space expressed by the quantum potential determine non-local correlations between subatomic particles. Moreover, in the de Broglie–Bohm theory in a curved space-time, it is shown that the quantum, as well as the gravitational, effects of matter have geometric nature and are highly related: the quantum potential can be interpreted as the conformal degree of freedom of the space-time metric, and its presence is equivalent to the curved space-time. It is shown on the basis of some recent research that, in quantum gravity, we have a generalized geometric unification of gravitational and quantum effects of matter; Bohm's interpretation shows that the form of a quantum potential and its relation to the conformal degree of freedom of the space-time metric can be derived from the equations of motion.
Predicting the optimum compositions of a transdermal nanoemulsion system containing an extract of Clinacanthus nutans leaves (L.) for skin antiaging by artificial neural network model

A nanoemulsion‐based formulation containing leaf extracts of Clinacanthus nutans Lindau (C. nutans) was prepared for therapeutic use and optimized by artificial neural network (ANN). The model was applied to optimize the particle size of the transdermal nanoemulsion system containing an extract of C. nutans leaves for skin antiaging. Five universal learning algorithms—incremental back propagation, batch back propagation, quick propagation, genetic algorithm, and Levenberg‐Marquardt—were used in the ANN to achieve the optimum topologies. The optimum topologies were selected among the learning algorithms trained with lowest root mean square values. Genetic Algorithm‐5‐13‐1 was found to be the optimum topology for the final model to predict the optimum particle size. Under these conditions, the actual particle size of the optimum nanoemulsion compared well with the predicted values with the residual standard error of less than 1.5%. The final formulation was observed to be stable against phase separation under an accelerated stability study and during storage at room temperature and 45°C for 90 days. The dermal irritation assay demonstrated that the developed nanoemulsion was found to be compatible with human skin and could be classified as nonirritant. In vivo ultrasound attributes of the skin study showed that the collagen content increased significantly with the application of the C. nutans nanoemulsion among all 21 volunteers during the 21 days of the treatment period. Hence, ANN was found to be an effective tool for optimizing the nanoemulsion containing C. nutans leaves extract with efficacy to protect collagen from breakdown.
Dietary Fat Modulation of Gut Microbiota and Impact on Regulatory Pathways Controlling Food Intake

Obesity is a multifactorial disease that continues to increase in prevalence worldwide. Emerging evidence has shown that the development of obesity may be influenced by taxonomic shifts in gut microbiota in response to the consumption of dietary fats. Further, these alterations in gut microbiota have been shown to promote important changes in satiation signals including gut hormones (leptin, ghrelin, GLP-1, peptide YY and CCK) and orexigenic and anorexigenic neuropeptides (AgRP, NPY, POMC, CART) that influence hyperphagia and therefore obesity. In this review, we highlight mechanisms by which gut microbiota can influence these satiation signals both locally in the gastrointestinal tract and via microbiota-gut-brain communication. Then, we describe the effects of dietary interventions and associated changes in gut microbiota on satiety signals through microbiota-dependent mechanisms. Lastly, we present microbiota optimizing therapies including prebiotics, probiotics, synbiotics and weight loss surgery that can help restore beneficial gut microbiota by enhancing satiety signals to reduce hyperphagia and subsequent obesity. Overall, a better understanding of the mechanisms by which dietary fats induce taxonomical shifts in gut microbiota and their impact on satiation signaling pathways will help develop more targeted therapeutic interventions in delaying the onset of obesity and in furthering its treatment.
Incidence of canine hip dysplasia - a prospective study of one year

A study was conducted to assess the prevalence of canine hip dysplasia (CHD) among dog population during a period of one year from January 2021 to December 2021. Canine hip dysplasia was confirmed by clinical orthopedic and radiographic examinations. Of the 231 dogs presented with lameness suspected to be originating from hip joint, 140 animals had dysplastic hips. The incidence was more in large breeds of dogs in an age group of 6 months to 12 months. Thirty five percent of the animals showed unilateral affection while in the remaining 65 percent it was bilateral. Females were more affected with this condition as per the findings of this study. Other than hip dysplasia, traumatic hip dislocation and osteoarthritis contributed to lameness originating from hip joints.
How college students in the United States make sense of examples of gender and intersectional microaggressions in classroom settings

Women and racially minoritized college students report frequent experiences of being targets of gender and race-based microaggressions in the classroom context. However, while much research has focused on reports of experiences by targets, less is known about how observers would evaluate and make sense of these microaggressive experiences. Thus the present study used vignettes based on real-life situations to ascertain how 272 college students (76% White, 52% ciswomen) in the United States interpreted gender-based and intersectional microaggressions occurring in the classroom. Thematic analysis revealed that microaggressions were deemed acceptable when participants believed: (1) the situation humorous, (2) the instructor did not cause the situation, or (3) the stereotype/statement to be true. Microaggressions were evaluated negatively when: (1) the topic was deemed sensitive, (2) the classroom was perceived as unsuitable, or the instructor was seen as: (3) making students uncomfortable, (4) being defensive, or (5) teaching misinformation. The findings highlight the complexity involved in observers evaluating and interpreting gender-based and intersectional microaggressions.
Evaluation of CHIRPS rainfall estimates over Iran

The Climate Hazards Group Infrared Precipitation with Station data (CHIRPS) dataset, first released in 2014, is a high‐resolution blended rainfall product with quasi‐global coverage that has not previously been evaluated over Iran. Here, we assess the performance of the CHIRPS rainfall estimates against ground‐based rainfall observations across Iran over the time period 2005–2014 inclusive. Results show that performance of CHIRPS is best over areas and during months of predominantly convective precipitation, with the highest correlations in the southern coastal lowlands, which are characterized by heavy rains of convective origin. Correlations are stronger with variables such as altitude, particularly alongside coastal regions in the north and south, where surface water produces more moisture in the atmosphere. Results of pairwise comparison statistics and categorical skill scores reveal the influence of altitude and precipitation amount, while categorical skill metrics vary more with changes in precipitation amount than with latitudinal or longitudinal changes.
The Determinants of Financial Performance of South African State-Owned Entities

Several state-owned enterprises (SOEs) have severally faced imminent collapse, resulting in various support from the government. This has increased the debt level of the government and the SOEs. The study examined the factors that influence the financial performance of South African SOEs. This study used a quantitative methodology and secondary data of 33 South African SOEs from 1995 to 2017. The data were analysed using a multiple regression model and the GMM estimation technique. The study's conclusions show a statistically significant inverse relationship between capital structure and financial performance. The evidence further showed that government intervention in financial assistance, such as grants, funds, rebates, and subsidies, has contributed to the poor performance of SOEs. The inverse association suggests that the SOEs performance continues to worsen despite government support, which is quite concerning. The results demonstrate that government support is not a sound choice for developing SOEs since it makes management more dependent on it to meet operational needs and seize expansion possibilities. Additionally, the increased use of debt stresses government finances due to the rise in government guarantees. The study concludes that, contrary to the agency theory, leverage does not enhance SOEs' performance, suggesting they should be careful when selecting their capital structure. Finally, the South African SOEs’ performance is being hampered by government support. The findings have several policy implications for the government and the management of SOEs.
Nasal polyps and its histopathological classification: A retrospective study

Background: The diagnosis of nasal polyp is made according to clinical and radiological criteria, while histopathologic examination is important for an accurate diagnosis. Histological classification of nasal polyps and its clinical implications are very rarely reported in the literature. Aims and Objectives: The aim of this study was to study clinical presentation and site of occurrence of nasal polyps and histologically classify nasal polyps in relation to studies published in the literature. We classified the histological changes as described by Davidson and Hellquist. Materials and Methods: Based on the inclusion and exclusion criteria, the 315 subjects were included in our study, which include eosinophilic polyp, fibro-inflammatory polyp, polyp with sero-mucinous gland hyperplasia, and polyp with stromal atypia. Results: Sinonasal polyps can be classified in the following way histologically: edematous or eosinophilic polyp 189 cases (60%); fibro-inflammatory polyp: 66 cases (21%); polyp with seromucinous gland hyperplasia: 35 cases (11%), polyp with stroma atypia: no case (0%), and fibrotic 25 cases (8%). Conclusion: We concluded that the nasal polyps mainly present as an edematous or eosinophilic pattern on histopathological examination. Studies on the histopathology of nasal polyps would help us to understand this disease more appropriately for treatment plan. Further differentiation of nasal polyps may help to develop new therapeutic strategies that are tailored according to the respective group.
On the sensitivity of the acoustics of short circular holes to inlet edge geometries

Short circular holes with a low Mach number mean bias flow passing through them can absorb or generate acoustics. A recent semi-analytical model (Yang & Morgans, Journal of Sound and Vibration, 384 (2016) pp. 294-311 & 393 (2017) pp. 41-61) based on the Green’s function method has been shown to be able to capture both the acoustic absorption and generation. The model indicates the importance of accurately capturing the path of the shed vorticity from the hole inlet edge. In the present work, the effect of this vorticity path on the hole acoustics is first studied systematically using the semi-analytical model. As the vorticity path is sensitive to the sharpness of the hole inlet edge, CFD tools are then used to obtain the vortex sheet shape after slightly changing the hole inlet edge shape. The acoustic responses of these modified holes are obtained using the semi-analytical model. A slightly chamfered edge case and a small ellipse edge case are considered to show that a very small change to the shape of the hole inlet edge can give a significant difference in the hole acoustic response.
A new continuous distribution on the unit interval applied to modelling the points ratio of football teams

We introduce a new flexible distribution to deal with variables on the unit interval based on a transformation of the sinh–arcsinh distribution, which accommodates different degrees of skewness and kurtosis and becomes an interesting alternative to model this type of data. We also include this new distribution into the generalised additive models for location, scale and shape (GAMLSS) framework in order to develop and fit its regression model. For different parameter settings, some simulations are performed to investigate the behaviour of the estimators. The potentiality of the new regression model is illustrated by means of a real dataset related to the points rate of football teams at the end of a championship from the four most important leagues in the world: Barclays Premier League (England), Bundesliga (Germany), Serie A (Italy) and BBVA league (Spain) during three seasons (2011–2012, 2012–2013 and 2013–2014).
The effectivenes of science domain-based science learning integrated with local potency

This research aimed to determine the significant effect of science domain-based science learning integrated with local potency toward science process skills. The research method used was a quasi-experimental design with nonequivalent control group design. The population of this research was all students of class VII SMP Negeri 1 Muntilan. The sample of this research was selected through cluster random sampling, namely class VII B as an experiment class (24 students) and class VII C as a control class (24 students). This research used a test instrument that was adapted from Agus Dwianto’s research. The aspect of science process skills in this research was observation, classification, interpretation and communication. The analysis of data used the one factor anova at 0,05 significance level and normalized gain score. The significance level result of science process skills with one factor anova is 0,000. It shows that the significance level < alpha (0,05). It means that there was significant effect of science domain-based science learning integrated with local potency toward science learning process skills. The results of analysis show that the normalized gain score are 0,29 (low category) in control class and 0,67 (medium category) in experiment class.This research aimed to determine the significant effect of science domain-based science learning integrated with local potency toward science process skills. The research method used was a quasi-experimental design with nonequivalent control group design. The population of this research was all students of class VII SMP Negeri 1 Muntilan. The sample of this research was selected through cluster random sampling, namely class VII B as an experiment class (24 students) and class VII C as a control class (24 students). This research used a test instrument that was adapted from Agus Dwianto’s research. The aspect of science process skills in this research was observation, classification, interpretation and communication. The analysis of data used the one factor anova at 0,05 significance level and normalized gain score. The significance level result of science process skills with one factor anova is 0,000. It shows that the significance level < alpha (0,05). It means that there was significant effect of scienc.
Ena Proteins Respond to PacC-Mediated pH Signaling Pathway and Play a Crucial Role in Patulin Biosynthesis

Penicillium expansum is a main producer of patulin that causes severe postharvest decay and food safety issues in the fruit industry. Development, pathogenicity, and patulin production of P. expansum are strongly influenced by the PacC-pH signaling pathway. Global transcription factor PacC regulates various fungal biological processes through a complicated molecular network. In the present study, three Ena family genes (PeEnas), PeEnaA, PeEnaB, and PeEnaC, as important downstream targets of PePacC, were identified in P. expansum. Deletion of PeEnaA, PeEnaB, and PeEnaC showed little effect on mycelial growth under alkaline or high salinity conditions, but double and triple deletion of these genes impaired the virulence of P. expansum on apple fruit. Notably, patulin biosynthesis of P. expansum was distinctly inhibited in the deletion mutants of PeEnas. PeEnas regulated expressions of the patulin gene cluster, AP1, CreA, Sge1, and Hog1 at the transcriptional level and played roles in maintaining membrane potential. Overexpression of PeEnaC in ΔPePacC restored the patulin production defect of ΔPePacC. Our results indicated that, as downstream targets of PePacC, the PeEna family proteins play a crucial role in patulin biosynthesis in P. expansum.
A New Modified Block Iterative Algorithm for a System of Equilibrium Problems and a Fixed Point Set of Uniformly Quasi-φ-Asymptotically Nonexpansive Mappings

In this paper, we construct a new modified block hybrid projection algorithm for finding a common element of the set of common fixed points of an infinite family of closed and uniformly quasi-φ-asymptotically nonexpansive mappings, the set of the variational inequality for an inverse-strongly monotone operator, the set of solutions of a system of equilibrium problems. Moreover, we obtain a strong convergence theorem for the sequences generated by this process in the framework Banach spaces. The results presented in this paper improve and generalize some well-known results in the literature.
The price for instrumentally valuable information

In this article, I propose an experimental design to measure the value of instrumental information in a model-free setup. In particular, this study provides operating instructions to test Blackwell’s ranking of informative structures under risk and under ambiguity. Drawing on Ellsberg’s two-color thought experiment, the subject faces three different types of choice situations: simple risk, compound risk and ambiguity. The original experiment is modified by enabling the agent to observe random draws with replacement so that he can learn about the composition of the urns. The proposed design allows to estimate the value of signals that differ in their informativeness and how it relates to ambiguity attitudes.
Finding Transitions of Physical Condition in Jets from Observations over the Range of 103–109 Schwarzschild Radii in Radio Galaxy NGC 4261

We report new measurements of jet width and radiation profiles along jets over the range of 103–109 Schwarzschild radius (RS) in the nearby radio galaxy NGC 4261 using multifrequency Very Long Baseline Array (VLBA) and Very Large Array images. In the VLBA images, we found parabolic-to-conical transition signatures on both the approaching jet and counterjet width profiles at ∼104 RS from the central engine. A transition in the radiation profile along the approaching jet was also found at ∼104 RS clearly. Based on the consistency of the transition locations, we conclude that the physical conditions of the NGC 4261 jets change at this distance. Jet flows that change from accelerating to expanding regions were previously found in M87 and NGC 6251 and are presumably present in NGC 4261. Additionally, we found another transition in the radiation profile at ∼3 × 106 RS in the conical region. NGC 4261 is the first case in which a jet structural transition is suggested in both the approaching and counter jets; this implies that the active galactic nucleus jet collimation process is fundamentally characterized by the global distribution of ambient pressure rather than the local interaction between the jet and the surrounding medium. We discuss the evolution of jet conditions in terms particle acceleration, cooling, dissipation, and jet pressure balance with the surrounding hot gas.
Binary neutron star merger simulations

Binary neutron star mergers are associated with a variety of observable phenomena in the gravitational and electromagnetic spectra and are of great importance in a number of different physical subjects, e.g. high energy and gravitational physics. In this thesis, we are investigating binary neutron star systems in the last milliseconds before and after their merger. In such systems gravity is strong and has to be described by Einstein’s full Theory of General Relativity. Because of the complexity of the governing equations of general relativity and relativistic hydrodynamics no analytical solutions exist. Thus, the usage of numerical methods is inevitable. Throughout the thesis we consider different configurations by varying the spin, the equation of state, and the mass-ratio. In particular, we present the first consistent, constraint solved simulations of spinning binary neutron stars in full general relativity and the highest mass ratios simulated to date. Additionally, new numerical methods were implemented in the existing BAM code, most notably a refluxing algorithm which ensures mass conservation across mesh refinement boundaries. This algorithm allowed us to perform the most accurate simulations of the gravitational collapse of a rotating neutron star. In addition to pure numerical waveform modeling, we used high-resolution simulations to validate an improved tidal effective-one-body model and show that the new formalism can predict the waveform accurately up to the moment of merger. Furthermore, the effective-one-body model predicts quasi-universal relations, which we found also in full general relativistic simulations for the inspiral and even in the postmerger phase.
Testing the asymmetry hypothesis of tolerance: Thinking about socially disruptive protest actions

Under the asymmetry hypothesis, political tolerance and intolerance differ in their underlying psychology, making it easier to persuade the tolerant to become less tolerant than to convince the intolerant to become more tolerant. Using a representative sample of the Dutch population (N = 546), we examined this hypothesis for people’s tolerance or intolerance of socially disruptive protest actions of their least-liked group. Focusing on the relevant contrasting values of freedom of speech and public order, we found empirical evidence for the asymmetry of political tolerance: it was easier to persuade the tolerant to become less tolerant than to convince the intolerant to become more tolerant. In fact, we found a backlash effect among the intolerant participants with them showing higher intolerance as a result. These findings support the notion that tolerance is more fragile than intolerance because of the required self-restraint that involves psychological discomfort and uneasiness. However, tolerance is indispensable for our increasingly polarized liberal democratic societies making further research on the social psychology of tolerance and intolerance topical and urgent.