Miracle-dz/UniFAR-FTUs huggingface dataset:
Social Word of Mouth valence and role of moderators: An integrated model of consumer decision making

The study aimed at coming up with an integrated model of consumer decision making that captures the impact of social media word of mouth (SWOM) on consumers’ decision influencing variables including perceived risk, its impact on attitude towards the brand, and eventually on intention to purchase. The integrated model incorporates the impact of SWOM message valence along with moderating role played by various source and receiver level characteristics on the variables mentioned above. Two experiments with between-subject factorial designs were conducted for testing the hypotheses. The first study had 128 participants divided into eight groups and their responses were collected offline. The second study had 221 respondents take part in an online experiment and were provided real life image stimuli for the study. A combination of regression, Manova and Mancova were used for testing the hypotheses. The study established differential impacts of social media message valence, source and reviewer credibility, product knowledge, and involvement level on consumers’ decision making. We extend the understanding of the traditional WOM factor into the SWOM space. The study contributes by establishing the extant role of both, positive and negative SWOM, under different source and receiver level characteristics.
Bifurcation and asymptotic stability in the large detuning limit of the optical parametric oscillator

We consider the large pump-detuning limit of the optical parametric oscillator equations which scale as either a focusing or defocusing parametrically forced nonlinear Schrodinger equation. Linearizing about the pulse or front solutions leads to a non-sectoral, non-self-adjoint linear eigenvalue problem which we analyse via a non-perturbative method, localizing the point spectrum to regions of the complex plane. We establish H 1 linear decay estimates for the semi-group and employ renormalization group methods to demonstrate the nonlinear asymptotic stability of the solutions to small H 1 perturbations of initial conditions.
An Estimator for Some Binary-Outcome Selection Models Without Exclusion Restrictions

This article provides a new maximum-likelihood estimator for selection models with dichotomous dependent variables when identical factors affect the selection equation and the equation of interest. Such situations arise naturally in game-theoretic models where selection is typically nonrandom and identical explanatory variables influence all decisions under investigation. When identical explanatory variables influence selection and a subsequent outcome of interest, the commonly used Heckman-type estimators identify from distributional assumptions about the residuals alone. When its own identifying assumption is reasonable, the new estimator allows the researcher to avoid the painful choice between identifying from distributional assumptions alone and adding a theoretically unjustified variable to the selection equation in a mistaken attempt to “boost” identification. The article uses Monte Carlo methods to compare the small-sample properties of the estimator with those of the Heckman-type estimator and ordinary probit.
Student Perceptions of Hybrid Courses in Higher Education

Online open-ended and closed-ended surveys were conducted in 2014-2016 among 191 students at a small, private university located in South Florida. Our main goals were to evaluate student perceptions of in-class and out-of-class assignments in hybrid courses, determine what students value most about these modes of learning, and recommend ways to maximize advantages and minimize disadvantages of each. We discovered that students value instant feedback and interacting with their peers when they are in class as in-class assignments were rated significantly higher than out-of-class assignments (p < 0.05) and higher ratings were significantly associated with responses associated with student-student interaction (p <0.05). However, the time and place constraints of in-class work limits their ability to formulate their thoughts. Out-of-class assignments were appreciated for their flexibility of pace, time, and place, although students reported time-management problems as well. Like for in-class work, students valued the opportunity of reading their peers’ answers as higher assignment ratings for out-of-class assignments were significantly associated with students’ ability to read the responses of others. Although participants did not report an effect from specific learning differences, having to write for out-of-class work (as opposed to speaking in class) was reported as a hurdle. We discuss strategies for improving in-class and out-of-class assignments based on our study results.
Effect of Empowerment Model-Based Program on Quality of Life in Patients with Type 2 Diabetes: A Randomized Controlled Trial

Background: Type 2 diabetes (T2D) is a chronic disease with a high prevalence globally, which is in the second place of importance for the investigation of chronic diseases. According to previous studies, Quality of Life (QOL) is low in diabetic patients. Hence, this study was conducted with the aim to evaluate the effect of the empowerment model on the QOL of patients with T2D. Materials and Methods: A randomized controlled trial was performed on 103 T2D patients over 18 years of age, with a definitive diagnosis of diabetes and medical records in a diabetic center. Patients were randomly assigned to either the intervention or the control groups. Routine education was presented to the control group, and the empowerment model was used for education in the experimental group for 8 weeks. The data collection tools used consisted of a demographic characteristics form and the diabetic clients QOL questionnaire. The one-way analysis of variance, Chi-square test, paired t-test, and independent t-test were used for data analysis. Results: After the intervention, there were significant differences between the two groups in terms of the physical (p = 0.003), mental (p = 0.002), social (p = 0.013), economic (p = 0.042), and illness and treatment dimensions of QOL (p = 0.033), as well as the total QOL score (p = 0.011). Conclusions: According to the results of this study, the training program based on empowerment significantly increased the QOL of patients with T2D. Therefore, using this method can be recommended in patients with T2D.
Rapid Evolution of Competitive Ability in Giant Foxtail (Setaria Faberi) Over 34 Years

Abstract Competition between genotypes within a plant population can result in the displacement of the least competitive by more competitive genotypes. Although evolutionary processes in plants may occur over thousands and millions of years, it has been suggested that changes in key fitness traits could occur in as little as decades, with herbicide resistance being a common example. However, the rapid evolution of complex traits has not been proven in weeds. We hypothesized that changes in weed growth and competitive ability can occur in just a few years because of selection in agroecosystems. Seed of multiple generations of a single natural population of the grassy weed giant foxtail (Setaria faberi Herrm.) were collected during 34 yr (i.e., 1983 to 2017). Using a “resurrection” approach, we characterized life-history traits of the different year-lines under noncompetitive and competitive conditions. Replacement-series experiments comparing the growth of the oldest year-line (1983) versus newer year-lines (1991, 1996, 1998, 2009, and 2017) showed that plant competitive ability decreased and then increased progressively in accordance with oscillating selection. The adaptations in competitive ability were reflected in dynamic changes in leaf area and biomass when plants were in competition. The onset of increased competitive ability coincided with the introduction of herbicide-resistant crops in the landscape in 1996. We also conducted a genome-wide association study and identified four loci that were associated with increased competitive ability over time, confirming that this trait changed in response to directional selection. Putative transcription factors and cell wall–associated enzymes were linked to those loci. This is the first study providing direct in situ evidence of rapid directional evolution of competitive ability in a plant species. The results suggest that agricultural systems can exert enough pressure to cause evolutionary adaptations of complex life-history traits, potentially increasing weediness and invasiveness.
Confidence Intervals for Effect Sizes in Analysis of Variance

Although confidence interval procedures for analysis of variance (ANOVA) have been available for some time, they are not well known and are often difficult to implement with statistical packages. This article discusses procedures for constructing individual and simultaneous confidence intervals on contrasts on parameters of a number of fixed-effects ANOVA models, including multivariate analysis of variance (MANOVA) models for the analysis of repeated measures data. Examples show how these procedures can be implemented with accessible software. Confidence interval inference on parameters of random-effects models is also discussed.
Study on Dynamic Responses of a Screw-Type Pressure-Swirl Injector under Low Frequency Pressure Oscillation

Perturbations in the rate of fuel flow from the injector into the combustor can directly affect unsteady motions in the combustor. Therefore, understanding the dynamic characteristics of the injector is important in the effort to control these phenomena. An experimental study on the dynamic response of a pressure-swirl injector under low frequency pressure oscillation conditions was carried out using a pulse valve and the three-microphone technique. Liquid kerosene was used as the fuel and the fuel feed line was designed for fuel flow modulations up to 200 Hz. Acoustic pressure and specific acoustic impedance were obtained within the fuel feed line. The magnitude of the specific acoustic impedance with respect to frequencies was varied by the static pressure in the fuel tubing. A normalized fuel transfer function between mass flow rate and acoustic pressure fluctuations was obtained in the frequency range between 10 and 200 Hz. Its gain shows a tendency to increase with frequency. The phase of the normalized fuel flow rate fluctuation at the injector exit was also measured. The phase tends to decrease with increase in frequency, and it approaches 180 degrees out of phase with the pressure fluctuations at 200 Hz within the fuel feed line.
Fast and Accurate Prediction of the Vortex Magnetization Curve

Analytical expression for a vortex magnetization curve is obtained involving higher order magnetic energy terms in the existing analytical model. Based on this approach we define a magnetic vortex approximating function for a cylindrical dot magnetized in-plane. Such fit function has only three input parameters to describe any measured or calculated vortex magnetization curve with high accuracy. These parameters can be expressed as a function of the aspect ratio of the cylindrical dot. We have successfully trained an artificial neural network (ANN) where the input is a set of magnetic and geometrical parameters of the dot and the output are three parameters of the approximating function. A neural network is quite compact (~200 neurons), and it predicts accurately magnetization curve of a magnetic vortex, even going beyond the range of the training data parameters. Such a fast method for predicting the magnetization curve can be used to quickly determine the magnetic response of a device based on a magnetic vortex and evaluate the linearity of the response over a given range of applied field.
Low-temperature properties of the random Heisenberg antiferromagnetic chain

The one-dimensional quantum spin-½ Heisenberg antiferromagnetic model with randomly distributed interaction strengths is solved approximately for several different distributions. Ground-state energy and low-temperature properties are evaluated. Universal qualitative features are found in the specific heat and the magnetic susceptibility, which display a power-law dependence on temperature. Such features hold for nonsingular distributions as well as for distributions with power-law divergence at the origin. The approximate method of solution is based on successive eliminations of spins coupled by the maximum coupling constant.
Stargardt-like Clinical Characteristics and Disease Course Associated with Variants in the WDR19 Gene

Variants in WDR19 (IFT144) have been implicated as another possible cause of Stargardt disease. The purpose of this study was to compare longitudinal multimodal imaging of a WDR19-Stargardt patient, harboring p.(Ser485Ile) and a novel c. (3183+1_3184-1)_(3261+1_3262-1)del variant, with 43 ABCA4-Stargardt patients. Age at onset, visual acuity, Ishihara color vision, color fundus, fundus autofluorescence (FAF), spectral-domain optical coherence tomography (OCT) images, microperimetry and electroretinography (ERG) were evaluated. First symptom of WDR19 patient was nyctalopia at the age of 5 years. After the age of 18 years, OCT showed hyper-reflectivity at the level of the external limiting membrane/outer nuclear layer. There was abnormal cone and rod photoreceptor function on ERG. Widespread fundus flecks appeared, followed by perifoveal photoreceptor atrophy. Fovea and peripapillary retina remained preserved until the latest exam at 25 years of age. ABCA4 patients had median age of onset at 16 (range 5–60) years and mostly displayed typical Stargardt triad. A total of 19% had foveal sparing. In comparison to ABCA4 patients, the WDR19 patient had a relatively large foveal preservation and severe rod photoreceptor impairment; however, it was still within the ABCA4 disease spectrum. Addition of WDR19 in the group of genes producing phenocopies of Stargardt disease underlines the importance of genetic testing and may help to understand its pathogenesis.
Global convergence and asymptotic stability of asymmetric Hopfield neural networks

Abstract The global convergence and asymptotic stability of Hopfield neural networks are known to be bases of successful applications of networks in various computing and recognition tasks. However, all previous studies on the networks assumed that the interconnection matrix is symmetric or antisymmetric. In this paper the two fundamental properties of the networks are studied without a symmetry assumption. It is proved that the networks will be globally convergent to a stable state if the interconnection matrix is weakly diagonally dominant in a sense to be defined. Furthermore, under any one of conditions assuring global convergence of the network, the maximal attraction radius of any one of stable states is found to be half of the distribution distance of the state to the network. The obtained results not only generalize the existing results, but also provide a theoretical foundation of performance analysis and new applications of the Hopfield networks.
Characterization of the Interstitial Cystitis/Bladder Pain Syndrome Microbiome in Clinically Diagnosed Patients

Aim: Ongoing research in the urinary disease field suggests that a subset of patients with bladder pain and incontinence may have an infection as the cause of those clinical features, which may be difficult to diagnose by standard testing. Shotgun metagenomics sequencing (smNGS) provides a comprehensive way to identify infectious agents, namely, viruses, fungi, or bacteria, one possible cause that may be responsible for Interstitial Cystitis/Bladder Pain Syndrome (IC/BPS). Methods: DNA was extracted from these samples and sequenced by combining KAPA HyperPlus library construction with next generation sequencing (Nextseq500, Illumina). Reads were analyzed using Xplore-Patho®, an analytical system that permits the detection of 37,000+ microorganisms, including over 12,000 known pathogens. Results: Urine samples were collected from 49 clinically diagnosed IC/BPS. Additionally, controls urine samples were collected from 13 individuals without chronic lower urinary tract symptoms. Comparisons in diversity between the IC/ BPS and control groups were performed. Of the 41 female patients who were diagnosed with IC/BPS, 35 had signs of infection with a microbial signature for IC/BPS, including the presence of Proteobacterium, BK and JC viruses (Betapolyomavirus), and higher fungal loads. The alpha diversity differences between the female IC/BPS and female control groups were not statistically significant (p = 0.18). In contrast, the beta diversity was found to be different between female IC/BPS and control groups using Kruskal-Wallis ANOVA (p = 2.33e-14). Conclusion: Culture, PCR, antigen, or antibody-based standard urine tests cannot comprehensively screen for the infectious causes of IC/BPS. We present an all-inclusive, unbiased smNGS approach that helped unravel the infectious causes of IC/BPS. This new tool can help clinicians treat their patients in a more timely and effective manner.
Skin Manifestation of Human Monkeypox

Monkeypox is a zoonotic infectious disease caused by the monkeypox virus (MPXV) infection, which is mainly manifested as characteristic rashes. It spreads mainly through direct skin-to-skin contact. In some cases, respiratory transmission occurs through contact with respiratory droplets when in close contact with an infected person for a long time. The monkeypox outbreak in 2022 frequently occurred in the MSM (men who have sex with men) population, raising concerns about whether monkeypox could be transmitted through sexual behavior. This article mainly reviews the research progress of skin manifestations of monkeypox, including typical and atypical rashes of monkeypox, and different skin manifestations in some special groups, such as children, pregnant women and individuals co-infected with HIV (human immunodeficiency virus) and MPXV. At present, dermatologists are not very familiar with the diagnosis and treatment of monkeypox, it is therefore necessary to review the skin manifestations of monkeypox, which can help clinicians diagnose the sporadic cases and monitor the occurrence of monkeypox early, particularly in people at higher risk of infection. Early clinical diagnosis and treatment can largely avoid serious complications and death from monkeypox.
Health-Promoting Potential of Millet: A Review

Being a key source of animal food, millet production has been sharply increasing over the last few years in order to cope with the dietary requirements of the ever-increasing world population. It is a splendid source of essential nutrients such as protein, carbohydrates, fat, minerals, vitamins, and also some other bioactive compounds that eventually help through multiple biological activities, including antioxidant, anti-hyperglycemic, anti-cholesterol, anti-hypertensive, anthropometric effects and regulation of gut microbiota composition. These bioactive compounds, nutrients, and functions of cereal grains can be affected by processing techniques such as decortication, soaking, malting, milling, fermentation, etc. This study discusses the nutritional and functional properties of millet-incorporated foods and their impact on health, based on around 150 articles between 2015 and 2022 from the Web of Science, Google Scholar, Food and Agriculture Organization of the United Nations (FAO), Breeding Bid Survey (BBS), and FoodData Central (USDA) databases. Analyzing literature reviews, it is evident that the incorporation of millet and its constituents into foodstuffs could be useful against undernourishment and several other health diseases. Additionally, this review provides crucial information about the beneficial features of millet, which can serve as a benchmark of guidelines for industry, consumers, researchers, and nutritionists.
Breakdown of the Mott-Hubbard State in Fe 2 O 3 : A First-Order Insulator-Metal Transition with Collapse of Magnetism at 50 GPa

Electronic and structural properties of the high-pressure phase of Fe{sub 2}O {sub 3} were determined by combining the methods of M{umlt o}ssbauer spectroscopy, x-ray diffraction, and electrical resistance, R(P,thinspT) , to 80thinspthinspGPa. Because of a first-order phase transition taking place in the 50{endash}75thinspthinspGPa range and accompanied by a volume decrease of {approximately}10{percent} , a breakdown of the electronic d-d correlation occurred, leading to a Mott transition, a metallic and a nonmagnetic single Fe{sup 3+} electronic state. The high-pressure structure is of the distorted Rh{sub 2}O {sub 3}- II type. The accommodation of the denser phase within this six-coordinated structure is attributable to the metallic state. {copyright} {ital 1999} {ital The American Physical Society}
On the contrasting influence of organized moist convection and surface heat flux on a barotropic vortex

The paper describes an experiment in which a barotropic vortex is heated either by convection connected to the convergence of water vapour in the Ekman layer, or by surface fluxes proportional to the surface wind speed. Intensification is achieved both ways. In the former case, the inner part of the vortex intensifies while in the latter case, the circulation is concentrated in a ring-shaped area. An area of sinking motion in the center may lead to formation of an “eye”. DOI: 10.1111/j.1600-0870.1987. tb00315.x
Linking Farmer Producer Organizations with Other Markets – A Sustainable Change in Marketing of Farm Produce

Marketing of agricultural produce is a complex process in India. Farmers do not have access to market, they are selling their produce to the intermediaries operate in the market because of this their profit margin is reduced and their farming business becomes a non-viable one. We can mobilize farmers in groups and build their associations called as Farmer Producer Organization (FPOs). FPO is a means to bring together the small and marginal farmers and other small producers to build their own business enterprise that will be managed by professionals. In the present environment of greater instability and competition, organisation and collective action can help to increase farmers’ competitiveness and increase their advantage in emerging market opportunities. FPOs also help in linking with other markets which helps in sustainable increase in income of farmers.The present paper showed the potential of FPOs in Andhra Pradesh in linking with other markets and Problems faced by the FPOs.
Improvements in LICOM2. Part I: Vertical Mixing

Better computational stability is achieved in an improved version of the National Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG)/Institute of Atmospheric Physics (IAP) Climate Ocean Model, version 2 (LICOM2, the standard version), after improvements to the implementations of the vertical mixing, mesoscale eddy parameterization, and bottom drag schemes. The large warm biases of LICOM2 in the western Pacific Ocean and eastern Indian Ocean warm pool and on the east coast of the Pacific Ocean are significantly improved. The salinity bias in the tropical Pacific Ocean related to the warm bias of the warm pool is also alleviated. The simulation of the Atlantic meridional overturning circulation is improved because of enhanced vertical mixing in the high latitudes of the North Atlantic Ocean. The new version also presents a stronger Deacon cell, and thus a more powerful Antarctic Circumpolar Current that is closer to the observation, due to weaker southward mesoscale eddy transport in the Southern Ocean.