Miracle-dz/UniFAR-FTUs huggingface dataset:
A Class of Isolated Non-time Reversal Invariant Quantum Systems

A dispersive quantum system is a quantum system which is both isolated and non-time reversal invariant. This article presents precise definitions for those concepts and also a characterization of dispersive quantum systems within the class of completely posi- tive Markovian quantum systems in finite dimension (through a homogeneous linear equation for the non- Hamiltonian part of the system's Liouvillian). To set the framework, the basic features of quantum mechan- ics are reviewed focusing on time evolution and also on the theory of completely positive Markovian quantum systems, including Kossakowski-Lindblad's standard form for Liouvillians. After those general considera- tions, a simple two-dimensional example is presented and then applied to describe the neutrino oscillation, with the introduction of a new "dispersive parameter. "
The Protective Effects of Trametes Versicolor on Arsenic-Induced Male Reproductive Toxicity through Regulation of Oxidative Stress: A Biochemical and Histopathological Survey

Exposure to arsenic is linked to a wide range of diseases, in particular male reproductive toxicities. Trametes versicolor is a traditional medicinal fungus with a remarkable potential for antioxidant activity. The purpose of this study was to examine the ameliorating effects of water and methanol extracts of T. versicolor on arsenic-induced male reproductive toxicities via the abrogation of oxidative stress. The mice were divided as follows: control: normal saline, As: arsenic (15 mg/kg), WE: water extract (400 mg/kg), ME: methanol extract (400 mg/kg), As + WE: arsenic (15 mg/kg) + water extract (100, 200, 400 mg/kg), As + ME: arsenic (15 mg/kg) + methanol extract (100, 200, 400 mg/kg), and positive control: arsenic (15 mg/kg) + vitamin C (500 mg/kg). Animals were treated via the intraperitoneal route. About 24 hr later, the mice were euthanized, and oxidative stress parameters (reactive oxygen species [ROS], lipid peroxidation, glutathione concentration, protein carbonylation, glutathione peroxidase, and superoxide dismutase activity), histopathological changes and sperm parameters (count, motility, and morphology) were examined in the testicular tissue. Arsenic caused significant pathological changes in the testicular tissue and sperm morphology and significantly reduced sperm count and motility. Moreover, arsenic mediated oxidative stress via significant increases in ROS generation, lipid peroxidation, and protein carbonyl content, as well as significant depletion in glutathione concentration and superoxide dismutase and glutathione peroxidase activities. Although, coadministration of water and methanol extracts of T. versicolor at 200 and 400 mg/kg counteracted arsenic-induced oxidative and histopathological damages and improved sperm parameters. Our study indicated that T. versicolor ameliorated arsenic-induced testis toxicity and sperm dysfunction via attenuation of oxidative damage.
Motivation of sex workers who provide camming services to engage in sex with their real-life and virtual partners

In this study, the motivations of 80 sex workers who provide camming services (76 females and 4 non-binary/trans/gender fluid individuals; aged from 20 to 49 years, M = 30.68, SD = 6.43; 56.2% married or in a committed relationship, 18.8% in a non-committed relationship and 25% - single) were compared in terms of engaging in sexual activity with their real-life partners versus their virtual partners (predominantly kink-oriented clients). Presented with 16 reasons to engage in sexual activity, the respondents rated the frequency to engage in sex for each of these reasons with their real-life and virtual partners. Results showed that there were five reasons in which there were differences in motivation to engage in sex with real-life versus virtual partners and 11 reasons showed no differences. Specifically, respondents reported engaging in sex more often with their virtual partners to get resources and to experience a specific type of sex (kink), while they reported engaging in sex more often with their real-life partners to experience physical pleasure, motivated by physical desirability of a partner and to express love and commitment. However, for all other reasons that motivate people to engage in sex, including stress reduction, experience seeking, self-esteem boost, social status, revenge, utilitarian reasons, emotional expression, duty or pressure, thrill of the forbidden, mate guarding, and desire to have sex with a person of other gender, respondents engaged in sex equally frequently with their real-life and virtual partners (clients) and there were no statistical differences. This study adds to the existing research on sex work by providing insights into the motivations of sex workers to engage in sex with different partners and demonstrates that apart from common sense differences the reasons to engage in sex with clients and real-life partners are vastly similar.
Does stock liquidity determine dividend policy? New evidence from an emerging market

This paper aims to test the relationship between stock liquidity and dividend policy using a sample of UAE-listed firms during the period from 2013 to 2019. A panel regression model was applied on data from 42 firms listed on Dubai’s financial market and the Abu Dhabi stock exchange. The findings, which show that dividend policy is positively related to stock liquidity, are robust across different stock liquidity measures. Furthermore, we found that the impact of stock liquidity on dividend policy is stronger in small firms where the level of information is low. This paper provides evidence that stock liquidity has a positive impact on dividend policy, which supports the argument that stock liquidity provides information to the market and therefore encourages insiders to pay out dividends. The findings of this study can help researchers, analysts and investors to better understand the implications of stock liquidity on corporate policies. The study also contributes to our understanding of whether managers use dividend policy as a corporate tool to deal with information asymmetry.
EFFECT OF FOLIAR APPLICATION OF SEAWEED EXTRACT AND SOME PLANT GROWTH REGULATORS ON THE PRODUCTIVITY AND QUALITY OF DAHLIA (DAHLIA VARIABILIS L.) PLANTS

: This study examined the effects of seaweed extract and some plant growth regulators (GA 3 ) on dahlia during the two successive seasons (2021/2022 and 2022/2023). The experiment was conducted at the Ornamental Department of El Gemaeza Agricultural Research Station, Agric. Res. Center, El-Ghrbia Governorate, Egypt under open-field conditions in sunlight during the two seasons. Experiment with a completely randomized block design with five replicates for 15 treatments i.e., control, three levels of seaweed extracts (SWE) at 500, 1000, and 1500 mg/l, three levels of GA 3 (50, 100 and 150 mg/l), three levels of CPPU (50, 100 and 150 mg/l) and combinations of 500 mg/l SWE + 50 mg/l CPPU + 50 mg/l GA 3 , 1000 mg/l SWE + 100 mg/l CPPU + 100 mg/l GA 3 , 1500 mg/l SWE + 150 mg/l CPPU + 150 mg/l GA 3 , 500 mg/l SWE + 100 mg/l CPPU + 150 mg/l GA 3 and 1500 mg/l SWE + 100 mg/l CPPU + 50 mg/l GA 3 . Plant height, stem diameter, number of branches per plant, fresh and dry weights of shoots, total chlorophyll, and leaf area index were the vegetative growth parameters, while the flowering characters were flower length, flower diameter, stalk length, fresh and dry weights of flowers, number of flowers per plant, and number of days to flower, days of flower longevity and vase life. The results demonstrated that when compared to the control treatment (which was left untreated during both seasons), SWE at 1500 mg/l + CPPU at 150 mg/l + GA 3 at 150 mg/l recorded higher values for all vegetative growth and flowering characteristics.
Teachers’ Perception of the Role of Indigenous Languages for Culture Preservation and Improved Teaching and Learning in Kwara State, Nigeria

This study explored on the role of indigenous languages towards culture preservation and improved teaching and learning in Nigeria, using the descriptive survey design. The sample size was 266 out of 5,393 primary school teachers who were randomly selected from a selected state. The study used a questionnaire as source of data from the field. Data was analyzed using mean scores and standard deviations. A negative perception of teachers was indicated if the weighted mean was between 1.00 and 2.49 while a positive perception was indicated if it fell between 2.50 and 4.00. The study revealed that teachers considered indigenous languages as a powerful tool for culture preservation. They also held the view that indigenous languages support effective teaching and learning as when the indigenous languages are used in teaching and learning, learners are more likely to have a better and deeper understanding of what is taught than when foreign languages are used in the teaching and learning process. The study recommends that stakeholders need to encourage and support the usage of indigenous languages in Nigeria for the sake of culture preservation and effective learning in schools. Parents should strengthen the use of indigenous languages at home places for culture preservation and effective learning in schools to be realized. Finally, the government should put in place mechanisms that would enforce language policy guidelines that favor the use of indigenous languages in school settings.
Factors Influencing Farmers’ Choices of Responses to Climatic Stressors in Tanzania

The viability of food production by smallholder farmers in Tanzania's semi-arid regions is threatened by climate variability and change. This study's main goal was to comprehend the available options for farmers in Tanzania's Great Ruaha River Sub-Basin and the factors that influenced their decisions. We used both quantitative and qualitative data collection methods. Primary data were gathered through focus groups and household questionnaire surveys, while secondary data came from records collected by government organizations. A logistic regression analysis was undertaken so as to determine factors that influence smallholder farmers’ perceptions and choice of response measures during dry years. Smallholder farmers mostly relied on their prior knowledge and locally accessible resources when developing their response strategies. Findings indicate that climate awareness, gender, age, education level, village location, wealth rank, and farmer experience are factors that have a substantial impact on farmers' decisions regarding choice of adaptation strategies to climate change. Therefore, decision-makers at all levels of government, from local authorities to the national level, should play a crucial role in improving adaptation strategies appropriate for a given climatic shock on the research area. The study suggests that GRRB farmers increase their knowledge and understanding of climate change. In order to successfully adapt to climate change, farmers should also work to create associations that will operate as a forum for knowledge exchange about indigenous farming techniques.
Numerical Simulation of 2D Flow Past a Dimpled Cylinder Using a Pseudospectral Method

A numerical simulation of steady and unsteady two-dimensional flows past cylinder with dimples based on highly accurate pseudospectral method is the subject of the present thesis. The vorticity-streamfunction formulation of two-dimensional incompressible Navier-Stokes equations with no-slip boundary conditions is used. The system is formulated on a unit disk using curvilinear body fitted coordinate system. Key issues of the curvilinear coordinate transformation are discussed, to show its importance in properly defined node distribution. For the space discretization of the governing system the Fourier-Chebyshev pseudospectral approximation on a unit disk is implemented. To handle the singularity at the pole of the unit disk the approach of defining the computational grid proposed by Fornberg was implemented. Two algorithms for solving steady and unsteady problems are presented. For steady flow simulations the non-linear time-independent Navier-Stokes problem is solved using the Newton’s method. For the time-dependent problem the semiimplicit third order Adams-Bashforth/Backward Differentiation scheme is used. In both algorithms the fully coupled system with two no-slip boundary conditions is solved. Finally numerical result for both steady and unsteady solvers are presented. A comparison of results for the smooth cylinder with those from other authors shows good agreement. Spectral accuracy is demonstrated using the steady solver.
Tools for Ground-Truth-Free Passive Client Density Mapping in MAC-Randomized Outdoor WiFi Networks

In the past few years, data privacy legislation has hampered the ability of WiFi network operators to count and map client activity for commercial and security purposes. Indeed, since client device MAC devices are now randomized at each transmission, aggregating client activity using management frames such as Probe Requests, as has been common practice in the past, becomes problematic. Recently, researchers have demonstrated that, statistically, client counts are roughly proportional to raw Probe Request counts, thus somewhat alleviating the client counting problem, even if, in most cases, ground truth measurements from alternate sensors such as cameras are necessary to establish this proportionality. Nevertheless, localizing randomized MAC clients at a network site is currently an unsolved problem. In this work, we propose a set of nine tools for extending the proportionality between client counts and Probe Requests to the mapping of client densities in real-world outdoor WiFi networks without the need for ground truth measurements. The purpose of the proposed toolkit is to transform raw, randomized MAC Probe Request counts into a density map calibrated to an estimated number of clients at each position.
The population dynamics of Carcinus maenas (Crustacea: Portunoidea) in a coastal lagoon (Portugal, SW)

The green crab (Carcinus maenas) population was investigated in a coastal lagoon (Santo André) located on the southwest coast of Portugal. This study assessed the spatial-temporal variability of green crab abundance in the lagoon and its relationship with environmental variables. Experimental fishing was used to collect data on abundance, size structure and other demographic characteristics. Sampling was conducted monthly in 2019 at five sites, using fyke nets. From a total of 15063 individuals collected, 3898 were analysed. The highest catches were obtained in winter and at sites closer to the sea. The population was male-biased (58.70% of males and 41.30% of females), with an average carapace width of 48.81 mm for males and 40.79 mm for females. Ovigerous females were most abundant in December and January, and 50% were sexually mature at 45.11 mm. Based on data from the experimental fishing and fishermen’s logbooks, the estimated annual catch of green crab ranged from 1873 to 3354 kg/ha, confirming the potential value of its fishery in the lagoon. This resource can be exploited for multiple purposes, including its meat or shell waste, thus contributing to the circular economy. Considering that green crab is a bycatch of the eel fishery, fishing regulations need to be modified to safeguard the stocks of both species.
Estimation of Internal Heat Generation in a Fin Involving All Modes of Heat Transfer Using Golden Section Search Method

ABSTRACT The present work deals with the application of the golden section search method (GSSM) for predicting the internal rate of heat generation to reconstruct a given temperature distribution within a rectangular fin involving all modes of heat transfer. The thermal conductivity has been assumed to be temperature-dependent. The forward problem is numerically solved using an implicit fourth-order Runge–Kutta method, whereas, an inverse problem has been solved using GSSM. In conjunction with GSSM, for the inverse analysis, the effect of inverse crime has been addressed using a different solver operating on fifth-order accurate Runge–Kutta method than that used for synthesizing the input data. A case study of Hastelloy generally used in gas turbine applications is also presented and the effect of measurement error in the temperature distribution has been reported. For pure temperature data, an exact estimation of the internal heat generation rate is done, whereas, even with noisy data, a satisfactory estimation of the heat generation rate is also achieved which is verified from the reconstructed temperature distributions.
The association between dietary intake of flavonoids and its subclasses and the risk of metabolic syndrome

Background The healthiest way to prevent metabolic syndrome (MetS) is through behavioral and nutritional adjustments. We examined the relationship between total flavonoids intake, flavonoid subclasses, and clinically manifest MetS. Methods A cross-sectional analysis was conducted among 28,719 individuals from the National Health and Nutrition Examination Survey (NHANES) and Food and Nutrient Database for Dietary Studies (FNDDS) 2007–2011 and 2017–2018. Two 24-h reviews were conducted to determine flavonoids intake and subclasses. The link between flavonoids intake and MetS was investigated using a multivariate logistic regression model. Results Q2 and Q3 of total flavonoids intake were associated with 20 and 19% lower risk of incident MetS after adjusting age and sex. Anthocyanidins and flavanones intake in Q2 and Q3 substantially reduced the MetS risk compared to Q1. MetS risk decreased steadily as the total intake of flavonoids increased to 237.67 mg/d. Flavanones and anthocyanidins also displayed V-shaped relationship curves (34.37 and 23.13 mg/d). Conclusion MetS was adversely linked with total flavonoids intake, flavanones, and anthocyanidins. Moreover, the most effective doses of total flavonoids, flavanones, and anthocyanidins were 237.67, 34.37, and 23.13 mg/d, respectively, potentially preventing MetS.
Energy Absorption of Thermoplastic Polyurethane Lattice Structures via 3D Printing: Modeling and Prediction

This work investigates the energy absorption capacity of polymeric lattice structures through a systemic manufacturing, testing and modeling approaches. The lattice structures are designed to possess periodic cubic geometry with optimized spherical shells located at the cubic corners, and thermoplastic polyurethane (TPU) powders are used to fabricate such structures via selective laser sintering, a type of powder-based 3D printing technology. A hyperelastic model that considers the mullins effect and describes the cyclic compression stress–strain behavior of TPU is developed to simulate the mechanical response of its 3D-printed lattice structures under cyclic compression loading. After the validation of the model for printed structure, it is used to predict the energy absorption capacity of various designed structures.
On using perturbation analysis to do sensitivity analysis: derivatives vs. differences

One use of perturbation analysis is to compute the derivative of a performance measure P with respect to a parameter theta for use in iterative optimization schemes to locate local maxima by driving the derivative to zero. It has been pointed out that in stochastic approximation contexts, there is an advantage in using derivatives as opposed to differences. Another use of perturbation analysis is just to do a sensitivity analysis with respect to a parameter without relation to any optimization. For sensitivity analysis, advantages in using differences rather than derivatives is pointed out. For this use of differences, three simulation evaluations are needed. This motivates the use of noninfinitesimal perturbation analysis (or other techniques) whereby perturbation information can be obtained from a single run. <<ETX>>
Analysis of SAR ADC Performance Enhancement Utilizing Stochastic Resonance

Stochastic resonance (SR) is a phenomenon where the noise of a certain intensity helps to improve the signal-to-noise ratio (SNR) of nonlinear systems. This brief applies this concept to a successive approximation register (SAR) analog-to-digital converter (ADC) to enhance its performance. To improve the effective number of bits of the SAR ADC, some additional comparisons are repeated after the normal binary search. The theoretical analysis of the performance enhancement based on the statistical information provides the optimal number of additional comparisons in terms of the ADC figure-of-merit (FoM). As this scheme allows the use of a high-input-referred-noise but low-power comparator in the SAR ADC, the total power consumption can be reduced even with the additional comparisons.
Opening the doors for spillovers: a contingency view of the effects of work from home on the work–home interface

Why do employees experience work from home (WFH) differently? We draw on boundary theory to explain how WFH influences employees’ work–home interface. WFH intensity increases negative spillovers (i.e., work-to-home conflict and home-to-work conflict) and positive spillovers (i.e., work-to-home enrichment and home-to-work enrichment) between the work and home domains. Negative spillovers can be mitigated through high-quality work equipment and beneficial spatial conditions at home. Domain centrality predicts who can benefit from increased WFH intensity. We test our theory with a sample of 545 employees, obtained through a two-step random sampling procedure in the city of Munich/Germany during the COVID-19 pandemic. We find that WFH intensity increases work-to-home conflict and home-to-work enrichment, affecting employees’ relationship satisfaction and job satisfaction. High-quality work equipment mitigates the detrimental effects of WFH. Employees with a high family centrality can reap benefits of more WFH because they experience more home-to-work enrichment. The simultaneous desirable and detrimental effects of WFH intensity can partly explain why studies have found heterogenous WFH experiences among employees.
IMPROVING EMPLOYEE JOB SATISFACTION: DO TRANSFORMATIONAL LEADERSHIP AND ORGANIZATIONAL CULTURE MATTER?

This study aims to validate the determinants of employee job satisfaction in the hospitality industry. A quantitative approach with a questionnaire was used as a data collection tool that was distributed to 240 five-star hotel employees. The data were analyzed using SmartPLS 3.2. 9. The findings prove that transformational leadership does not affect employee job satisfaction but positively influences organizational culture. Meanwhile, organizational culture fully mediates the relationship between transformational leadership and employee job satisfaction. This study has several limitations, namely, the bias of using self-assessment reports and the limited number of samples in the hotel industry in Bali. The practical implication is that leaders' success in building an organizational culture can be vital to increasing satisfaction. Thus, managers can better understand the relationship between variables and how the role of mediation is shown. In addition, it can provide more in-depth information as a reference for policy-making. Theoretically, this study contributes to the knowledge base in which the existing organizational culture significantly determines employee job satisfaction.JEL: A13, D23, D91.