Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect of Counseling on the Pregnant Women’s Stress of Covid-19: A Clinical Trial Study

Objective: Due to the Covid-19 pandemic crisis, which causes stress and threatens health, especially in vulnerable groups including pregnant women, the present study was conducted to determine the effect of individual counseling on the pregnant women’s stress of Covid-19. Materials and methods: In this randomized controlled clinical trial, 66 pregnant women in 24 to 28 weeks were randomly divided into two groups of intervention (33 participants) and control (33 participants). At the beginning of the study, both groups completed the questionnaires of demographic information and pandemic related pregnancy test. Then, the intervention was performed in 3 sessions with the interval of one week, in the form of individual counseling by BELIFE method for the experimental group. The control group received only the routine services of the centers. The post-test was performed two weeks after the last consultation session for both groups. Data were analyzed using Stata-13 software. Significance level was considered 0.05. Results: The experimental and control groups were almost homogeneous in terms of quantitative and qualitative demographic variables. Total mean and standard deviation of stress score, before and after the intervention in the experimental group, were 40.27 ± 12.65 and 41.71 ± 1.74, respectively. These numbers in the control group were 33.84 ± 13.08 and 43.84 ± 1.69. Comparing the two groups in terms of stress score which was done after the intervention showed that although the stress score in the experimental group was lower than that in the control group, this difference was not statistically significant (p = 0.39). Conclusion: The results of this study show that although individual counseling for pregnant women was able to reduce the mean scores of stress of Covid-19 in the experimental group, this difference was not statistically significant. Therefore, although the BELIFE individual counseling method for pregnant women, who naturally suffer from pregnancy stress, is an acceptable way to reduce their stress, it is recommended to plan and implement early and more effective interventions for these women because the course of stress is severe in them and has an upward trend during Covid-19 pandemic.
Enzymatic and Molecular Characterization of Anti-Leishmania Molecules That Differently Target Leishmania and Mammalian eIF4A Proteins, LieIF4A and eIF4AMus

Previous investigations of the Leishmania infantum eIF4A-like protein (LieIF4A) as a potential drug target delivered cholestanol derivatives inhibitors. Here, we investigated the mode of action of cholesterol derivatives as a novel scaffold structure of LieIF4A inhibitors on the RNA-dependent ATPase activity of LieIF4A and its mammalian ortholog (eIF4AI). We compared their biochemical effects on RNA-dependent ATPase activities of both proteins and investigated if rocaglamide, a known inhibitor of eIF4A, could affect LieIF4A as well. Kinetic measurements were conducted at different concentrations of ATP, of the compound and in the presence of saturating whole yeast RNA concentrations. Kinetic analyses showed different ATP binding affinities for the two enzymes as well as different sensitivities to 7-α-aminocholesterol and rocaglamide. The 7-α-aminocholesterol inhibited LieIF4A with a higher binding affinity relative to cholestanol analogs. Cholesterol, another tested sterol, had no effect on the ATPase activity of LieIF4A or eIF4AI. The 7-α-aminocholesterol demonstrated an anti-Leishmania activity on L. infantum promastigotes. Additionally, docking simulations explained the importance of the double bond between C5 and C6 in 7-α-aminocholesterol and the amino group in the C7 position. In conclusion, Leishmania and mammalian eIF4A proteins appeared to interact differently with effectors, thus making LieIF4A a potential drug against leishmaniases.
Consumers’ Environmental Sustainability Beliefs and Activism: A Cross-Cultural Examination

Environmental sustainability research suffers from a paucity of comprehensive, cross-cultural investigations and lacks insight into the interplay of human values and environmental beliefs and behaviors. In addition, despite the importance of understanding why consumers engage in active attempts to protect the environment, studies examining the role of environmental sustainability activism remain scarce, poorly integrated, and ill-defined. Against this backdrop, this research captures the links of specific human values with environmental sustainability beliefs and their subsequent relationships with individuals’ environmental sustainability activism and quality of life. Using data from the United States and China, the authors show that religiosity and interdependence are consistently related to environmental sustainability beliefs, whereas, contrary to previous findings, materialism has no significant relationship. In addition, generativity is positively linked with environmental sustainability beliefs only in the U.S. sample, whereas family values are significant only in the China sample. The results show that environmental sustainability beliefs influence environmental sustainability activism, which in turn is linked with individual perceptions of superior quality of life. The study discusses several implications for practice and identifies fruitful future research directions.
Acceptability, usability and efficacy of an automatic respiratory monitor in determining fast breathing: A pilot study in a tribal tea garden in India

Background: Childhood pneumonia is one of the leading causes of mortality among under-five children. It is responsible for 15% of all deaths of children U5, killing 808,694 children in 2017 (1). Traditional visual inspection and manual count method is used to detect and classify fast-breathing, a key indicator of Pneumonia. In response to UNICEF's call for a reliable diagnostic tool, Philips was the first to respond with the Children's Automatic Respiratory Monitor for measuring fast breathing objectively. Aim: UNICEF and Philips Foundation initiated a field study to test the acceptability, usability and efficacy of the Automatic Respiratory Monitor in Determining Fast Breathing in low resource setting environments. Settings and Design: Philips Foundation partnered up with the Directorate of Medical Education in West Bengal, India to conduct the field study amongst community healthcare workers and beneficiaries in a rural district of West Bengal. In collaboration with North Bengal Medical College & Hospital, a community-based study was conducted in a tribal tea garden of Naxalbari block. Methods and Material: Acceptability and usability of the device was assessed through structtured interviews and dialogues with community health workers (CHWs), caregivers and local healthcare practitioners. Efficacy of the device was represented by the inter-rater agreement between the traditional visual inspection and manual count method and the device reading. Statistical Analysis Used: A descriptive community based mixed method study was conducted. Satisfaction among community healthcare workers (CHWs) and beneficiaries was found to be promising across all study parameters. Results and Conclusions: The paper captures the study methods, statistical analysis of the data, the conclusions, areas of further research and recommends community-wide use of the device in objectively measuring fast breathing among children under the age of five years.
Arithmetic Fundamental Groups and Noncommutative Algebra

From number theory to string theory, analyzing algebraic relations in two variables still dominates how we view laws governing relations between quantities. An algebraic relation between two variables defines a nonsingular projective curve. Our understanding starts with moduli of curves. From, however, cryptography to Hamiltonian mechanics, we command complicated data through a key data variable. We're human; we come to complicated issues through specific compelling interests. That data variable eventually drags us into deeper, less personal territory. Abel, Galois and Riemann knew that; though some versions of algebraic geometry from the late 1970s lost it. A choice data variable (function to the Riemann sphere) to extract information brings the tool of finite group theory. Giving such relations structure, and calling for advanced tools and interpretations, is the study of their moduli — the main goal of the papers of this volume. Applications in this volume are to analyzing properties of the absolute Galois group Gq (Part I) and to describing systems of relations over a finite field (Part II). Such applications have us looking at finite group theory and related algebra (Parts III and IV) in a new way. §1 reminds of classical problems that motivated those authors whose papers appear in this volume. We dramatize research events around the 1995 Seattle Conference, Recent Developments in the Inverse Galois Problem, in the Contemporary Math series of AMS, in §2. This also has reader aids for connecting that 1995 volume to this volume's papers. In this one sees how group theory applies to modern applications. Conversely, when we see the effect of studying moduli of algebraic relations, it changes how we perceive group theory classification results. §3 points to applications addressed by particular papers in this volume. This is inadequate to explain either the motivations of the authors or the connections between the papers. To get the results out to the public, the author of this prelude has added some necessary background to the Part I papers in §2. He will, however, reference this volume, in a later paper that ties the finite group theory, Lie theory and Tannakian viewpoints together. 2000 Mathematics Subject Classification. Primary 11F32, 11G18, 11R58; Secondary 20B05, 20C25, 20D25, 20E18, 20F34. Author support from MSRI, NSF #DMS-9970676 and a senior research Alexander von Humboldt award. © 2002 American Mathematical Society
Particle Simulation of Positive Streamer Discharges on Surface of DC Transmission Conductors With Coating Materials

Streamer discharges occurring on bare and coated conductors are investigated, respectively, by means of 2-D particle-in-cell (PIC)/Monte Carlo collision simulations. The evolutions of streamer discharges and the involved electric fields, electron densities, and propagation velocities have been demonstrated. The electron energy probability functions (EEPFs) reveal the nonequilibrium properties of streamer plasmas. Moreover, the effects of relative permittivity, the thickness of coating layers, and the presence of protrusions upon the formation of streamer discharges have been studied. It is shown that streamer discharges can be inhibited effectively by the application of coating materials, which have the largest effect on the initial stage of the discharge. The electron density, electric field strength, and propagation velocity of the streamers can be reduced significantly. The results provide insights into fundamental physics governing the streamer discharge and may find promising applications in the protection of direct current transmission lines.
How does social media addiction affect decisional procrastination? Mediation role of work-family life balance

How does media addiction In this study, we examined the mediating role of work-family life conflict in the effect of employees ’ social media addiction on decisional procrastination. Gender, age, marital status, education, and the sector employed were used as control variables. The data were obtained using the social media addiction scale-adult form, work-family life conflict scale, decisional procrastination scale, and the personal information form in the online medium. We analyzed the responses of the 400 participants in the SPSS program and applied descriptive statistics, correlation, regression, mediation, and moderation analyses. As a result of the research, it was found that the increase in social media addiction has a positive effect on work-to-family conflict (WtoF) and family-to-work conflict (FtoW), and decisional procrastination. We concluded that WtoF and FtoW mediate the impact of social media addiction on decisional procrastination. Also, those living with families have a moderation role in the impact of work-family conflict on decisional procrastination.
Persimmon Proanthocyanidins with Different Degrees of Polymerization Possess Distinct Activities in Models of High Fat Diet Induced Obesity

Proanthocyanidins is a kind of polyphenol that had been found with strong prevention ability on high fat diet induced obesity. However, whether proanthocyanidins with different polymerization degree showed different anti-obesity ability is unclear. Therefore, in this study, the effects of persimmon proanthocyanidins (P-PCs) and persimmon oligo-proanthocyanidins (P-OPCs) on high-fat diet induced obesity were systematically investigated. The findings indicated that both of P-PCs and P-OPCs significantly reduced the body weight, and P-PCs showed stronger anti-obesity ability compared with P-OPCs, P-OPCs seemed with stronger ability on improvement of insulin resistance. Furthermore, gut microbiota results indicated that the composition of the gut microbiota was changed after P-PCs and P-OPCs intervention in C57BL/6J mice. In addition, P-PCs exhibited strong inhibitory on the digestion of starch and fat. Above all, this study indicated that P-PCs showed stronger anti-obesity ability compared with P-OPCs.
Measurement error in comparative surveys

e European Social Survey (ESS) has the unique characteristic that in more than 20 countries the same questions are asked and that within each round of the ESS Multitrait-Multimethod (MTMM) experiments are built in to evaluate the quality of a limited number of questions. is gives us an exceptional opportunity to observe the differences in quality of questions over a large number of countries. e MTMM experiments make it possible to estimate the reliability, validity, and method effects of single questions (Andrews, 1984; Saris, Satorra, & Coenders, 2004; Saris & Andrews, 1991). e product of the reliability and the validity can be interpreted as the explained variance in the observed variable by the variable one would like to measure. It is a measure of the total quality of a question. ese MTMM experiments showed that there are considerable differences in measurement quality across countries. Because these differences in quality can causewrong conclusionswith respect to differences in relationships across countries, this paper studies the quality of themeasures from the viewpoint of categorization. We assume that each category represents a range of scores on a latent continuous variable that have been grouped together, causing grouping errors. It depends on the distribution of values of the latent response variable in each category whether the intervals between the categories are equally far apart. If they are not, there is also transformation error. Both grouping and transformation are sources of measurement error due to categorization and therefore possible explanations for differences in the quality of questions. e results show that this effect is quite strong.
Level of Concern, Spending, and External Support Related to COVID-19: A Comparison between Working and Non-Working Older Adults

This study compared levels of concern, spending, and use of external support by working status among older adults in the U.S. during the COVID-19 pandemic. It assessed whether work influences these variables related to wellness. Data from 2489 older adults from the 2020 U.S. Health and Retirement Study were analyzed using multiple linear and logistic regression. Older adults who worked had lower concerns about the pandemic (β = −0.28, p = 0.048), were less likely to increase their spending (OR = 0.74, p = 0.041), and were less likely to use external support (OR = 0.50, p < 0.001). Use of external support increased with age (OR = 1.04, p < 0.001) and increased spending (OR = 1.32, p = 0.019). Married older adults were less likely to increase spending (OR = 0.75, p = 0.007) and had lower concerns toward COVID-19 (β = −0.28, p = 0.011). Higher levels of concern were reported among women (β = 0.31, p = 0.005) and participants who had friends or family members diagnosed with COVID-19 (β = 0.51, p < 0.001). Women were more likely to use support (OR = 1.80, p < 0.001). Work appears to bolster older adult wellness outcomes.
Ideal period for mating females of the predator Podisus fuscescens (Dallas, 1851) (Hemiptera: Pentatomidae)

The improvement of techniques for the mass rearing of predators in the laboratory, including the age of mating is important to obtain the largest number of individuals for biological control programs. The purpose of this study was to evaluate the females’ fecundity of the predator Podisus fuscescens (Dallas, 1851) (Hemiptera: Pentatomidae) with different pre-mating periods. The females of this predator were mated immediately after emergence (T1) or with one (T2), two (T3), three (T4), four (T5) or five (T6) days after emergence. The females mated immediately and one day after the emergency (T1 and T2) had fewer egg clusters than those mated after five days (T6). The number of nymphs per female was lower for those mated immediately after the emergence (T1) and with one (T2) or two days (T3). The total number of eggs was lower in females mated one day after emergence (T2) than for those mated after five days (T6). The proportion of hatched eggs was lower in the treatments T1 and T2 than in the T6. The oviposition and longevity of P. fuscescens females were similar between treatments; however, the pre-oviposition period longer in the T1 than T5 and T6. The pos-oviposition period was longer in the T1. Podisus fuscescens females require five days after emergence to mature their reproductive system, which improves their fitness and avoids unnecessary mating.
The Impact of Marijuana Legalization on Police in Colorado

The purpose of this study was to survey a random sample of police departments in Colorado to assess their views on the impact of marijuana legalization in the state. While police perceptions have been used in prior research to assess other topics, very few studies have assessed police perceptions of marijuana legalization. To address this, police officers and sheriff deputies at 64 randomly selected police departments across Colorado were administered surveys that assessed the impact marijuana has had on enforcement and their personal perceptions of marijuana. In addition, qualitative questions were asked to explore these topics in greater detail. The findings of the 131 respondents suggest that most police officers in Colorado are slightly supportive of legalization, but have noted that it has made their job more difficult.
Modeling and Forecasting of Rice Prices in India during the COVID-19 Lockdown Using Machine Learning Approaches

Via national lockdowns, the COVID-19 pandemic disrupted the production and distribution of foodstuffs worldwide, including rice (Oryza sativa L.) production, affecting the prices in India’s agroecosystems and markets. The present study was performed to assess the impact of the COVID-19 national lockdown on rice prices in India, and to develop statistical machine learning models to forecast price changes under similar crisis scenarios. To estimate the rice prices under COVID-19, the general time series models, such as the autoregressive integrated moving average (ARIMA) model, the artificial neural network (ANN) model, and the extreme learning machine (ELM) model, were applied. The results obtained using the ARIMA intervention model revealed that during the COVID-19 lockdown in India, rice prices increased by INR 0.92/kg. In addition, the ELM intervention model was faster, with less computation time, and provided better results vs other models because it detects the nonlinear pattern in time series data, along with the intervention variable, which was considered an exogenous variable. The use of forecasting models can be a useful tool in supporting decision makers, especially under unpredictable crises. The study results are of great importance for the national agri-food sector, as they can bolster authorities and policymakers in planning and designing more sustainable interventions in the food market during (inter)national crisis situations.
The environmental gradient influences the concentrations of carbon compounds in the biomass of Protium icicariba (DC.) Marchand in restinga area

The environmental gradient influences the concentrations of carbon compounds in the biomass of Protium icicariba (DC.) Abstract The objective of this study was to analyze the concentrations of non-structural carbohydrates and cell wall polymers in Protium icicariba individuals along an environmental gradient of a Coastal Brazilian Atlantic Forest (restinga). The concentrations of non-structural carbohydrates (glucose, fructose, sucrose and starch) and cell wall polymers (cellulose, hemicellulose and lignin) were quantified in samples of stems, branches and leaves of individuals distributed in contrasting zones regarding the occurrence of floods [periodically floodable (PI), transitional (IT) and non-floodable (NI)]. Individuals from the non-flooded zone had higher concentrations of starch and hemicelluloses in the branches and leaves. On the other hand, cellulose and lignin concentrations were higher in the leaves of individuals from the periodically flooded and transitional zones. The variations in the concentrations of non-structural carbohydrates and cell wall polymers were mainly associated with water availability and plasticity of the species, in addition to possible influences of soil nutrient supply and the occurrence of herbivory. The sensitivity in the dynamics of the carbon molecules of P. icicariba in a diverse and spatially short environmental gradient, requires considerable plasticity of the species that, in the imminence of climatic changes, must favor its survival in the face of the imposition of new environmental filters.
LMI-based closed-loop economic optimization of stochastic process operation under state and input constraints

In this paper we will solve a closed-loop steady-state economic optimization problem for process operation by means of convex optimization techniques. The objective is the simultaneous optimization of controller parameters and steady-state operating condition maximizing the economic profit of the plant. The main point is, given the economic objective of the plant, to replace back-off selection by back-off optimization together with optimal tuning of controller parameters.