Miracle-dz/UniFAR-FTUs huggingface dataset:
Analytical solution of stochastic real‐time dispatch incorporating wind power uncertainty characterized by Cauchy distribution

Correspondence Wenchuan Wu, Department of Electrical Engineering, Tsinghua University, Beijing 100084, People’s Republic of China. Email: wuwench@tsinghua.edu. cn Abstract Real-time power dispatch can coordinate wind farms, automatic generation control units and non-automatic generation control units. In real-time power dispatch, the probable wind power forecast errors should be appropriately formulated to ensure system security with high probability and minimize operational cost. Previous studies and the authors’ onsite tests show that Cauchy distribution effectively fits the “leptokurtic” feature of smalltimescale wind power forecast errors distributions. In this paper, a chance-constrained real-time dispatch model with the wind power forecast errors represented by multivariate Cauchy distribution is proposed. Since the Cauchy distribution is stable and has promising mathematical characteristics, the proposed chance-constrained real-time dispatch model can be analytically transformed to a convex optimization problem considering the dependence among wind farms’ outputs. Moreover, the proposed model incorporates an affine control strategy compatible with automatic generation control systems. This strategy makes the chance-constrained real-time dispatch adaptively take into account both the potential power ramping requirement and power variation on transmission lines caused by the generation adjustment to offset the wind power forecast errors in real-time power dispatch stage. Numerical test results show that the proposed method is reliable and effective. Meanwhile it is very efficient and suitable for real-time application.
Limit Theory for Stationary Autoregression with Heavy-Tailed Augmented GARCH Innovations

This paper considers stationary autoregressive (AR) models with heavy-tailed, general GARCH (G-GARCH) or augmented GARCH noises. Limit theory for the least squares estimator (LSE) of autoregression coefficient ρ=ρn is derived uniformly over stationary values in [0,1), focusing on ρn→1 as sample size n tends to infinity. For tail index α∈(0,4) of G-GARCH innovations, asymptotic distributions of the LSEs are established, which are involved with the stable distribution. The convergence rate of the LSE depends on 1−ρn2, but no condition on the rate of ρn is required. It is shown that, for the tail index α∈(0,2), the LSE is inconsistent, for α=2, logn/(1−ρn2)-consistent, and for α∈(2,4), n1−2/α/(1−ρn2)-consistent. Proofs are based on the point process and the asymptotic properties in AR models with G-GARCH errors. However, this present work provides a bridge between pure stationary and unit-root processes. This paper extends the existing uniform limit theory with three issues: the errors have conditional heteroscedastic variance; the errors are heavy-tailed with tail index α∈(0,4); and no restriction on the rate of ρn is necessary.
Wire-EDM machinability investigation on quaternary Ni44Ti50Cu4Zr2 shape memory alloy

ABSTRACT Shape memory alloy (SMA), also called memory metal, is a smart material that exhibits unique shape memory effect and superelasticity properties. NiTi alloys attract researchers because of their myriad applications in areas such as aerospace, medicine, and robotics. In the present NiTi SMA fabrication, the Cu and Zr elements were added to increase the martensitic transformation temperatures. The current study focuses on the machining of high-temperature Ni44Ti50Cu4Zr2 SMA by coated wire electric discharge machining (W-EDM). Machining quality features like surface undulation and material removal were studied by considering current (I), servo voltage (SV), pulse on time (Ton), angle of cut (AC), and pulse off time (Toff). Parametric analysis of machining characteristics has been investigated by conducting experiments following the response surface approach based central composite design (RSM-CCD). It was found that MRR has increased by 57% and Ra by 58% with a gradual increase in pulse on time and applied current and decreases gradually on increasing servo voltage and pulse off time. XRD analysis reveals the presence of an oxide layer on the wire-EDMed surface. The study of SEM confirms the formation of the melted layer, micro-voids, and micro-cracks, resulting in surface irregularities.
Clinico-epidemiological profile of Influenza A H1N1 cases at a tertiary care institute of Uttarakhand

Introduction: The swine (H1N1) virus responsible for worldwide pandemics since 2009 is now causing seasonal epidemics. Since then alarming spikes of swine flu cases have been reported from Uttarakhand every year. There are limited studies conducted in this Himalayan belt to evaluate the clinical and epidemiological profile of the patients admitted in tertiary care hospitals. Aims & Objectives: This study aims to summarize the clinical and epidemiological attributes of swine flu and to approximate the burden of Influenza A H1N1 (Swine Flu) cases in this Himalayan belt. Material and Methods: Clinical and epidemiological characteristics of influenza A H1N1 cases from October 2018 to April 2019 were retrospectively and descriptively analyzed using data from the Medical Records Section and the isolation ward at Shri Guru Ram Rai Institute of Medical and Health Sciences; Shri Mahant Indiresh hospital. Results: A total of 1126 (51.6%) patients were tested of which 30% (338) patients were found to be H1N1 positive. Maximum cases and positivity were detected in the months of January (26.4%), February (50.3%), and March (14.8%), and the patients in the age groups of 41–50 (21.9%) and 51–60 years (19.3%) accounted for majority of the cases. The most common symptoms were fever (85.8%), cough (82.2%), sore throat (82%), and breathlessness (71.3%). A case fatality ratio of 10.9% was observed. A significant statistical association (p value < 0.00001) was reported between co-morbid conditions and death. Conclusion: According to the results of this study, close caution should be exercised in case of patients infected with H1N1 particularly those with co-morbidities.
Correlates of Susceptibility to Scams in Community-Dwelling Older Black Adults

Introduction: Evidence suggests that older Black adults are frequent victims of financial fraud and exploitation. This study aims to identify the factors associated with scam susceptibility in older Black adults. Methods: Participants were 383 older Black adults living in the Chicago metropolitan area (mean age = 78 years and 82% female). A scam susceptibility measure assessed perceptions and behaviors that predispose older adults to fraud and scams. Categories of age-associated factors, including cognition, physical health, psychosocial factors, personality, and behavioral economics, were measured using uniform systematic assessments. For each category separately, measures associated with scam susceptibility were identified via stepwise variable selection. Results: Older age was associated with greater scam susceptibility. Further, the analysis revealed a robust association of cognitive health with scam susceptibility, particularly the domains of semantic and working memory. Psychological well-being was associated with susceptibility, as was neuroticism. Behavioral economic measures including financial and health literacy and financial and health decision-making ability were also implicated. In a final model that included all the measures initially retained by variable selection, semantic memory, psychological well-being, and financial and health literacy were independently associated with scam susceptibility. Moreover, the association of age was attenuated and no longer significant after adjusting for these correlates. Discussion: Age-associated vulnerabilities, rather than age itself, predispose older Black adults to financial fraud and scams. The correlates of scam susceptibility in community-living older Black adults primarily involve cognitive health, psychological, and behavioral economic factors.
Prevalence of Internet Addiction and Associated Factors Among Students in an Ethiopian University: A Cross-Sectional Study

ABSTRACT Internet addiction has become a behavioral problem globally, especially among youth. Whether this phenomenon is a concern has not been assessed in Ethiopia. This study investigated the prevalence of Internet addiction and risk factors for Internet addiction among undergraduate students at a university in Ethiopia. Data were collected from 812 undergraduate students recruited from 5 campuses using stratified random sampling techniques. Participants completed a pretested structured questionnaire. The results indicated that the prevalence of Internet addiction was 35.2%, with severe addiction for 1.8% and mild addiction for 33.4% of participants. Internet addiction rates were higher among female students compared to their male counterparts (38.3% vs. 33.4%). Senior students reported more addiction to Internet use, χ2 = 42.72, p< . 001. Academic grade-point average (adjusted odds ratio [AOR] = .19, 95% CI [.13, .29]), parental supervision (AOR = .96, 95% CI [.92, .99]), self-esteem (AOR = .95, 95% CI [.91, .99]), and peer pressure (AOR = 1.16, 95% CI [1.10, 1.22]) were risk factors for Internet addiction. Our findings revealed that more than one third of the respondents had an addiction to the Internet. Increased grade-point average, higher self-esteem, and higher perceived parental supervision were protective against Internet addiction, whereas seniority among students and peer pressure were drivers toward Internet addiction. These findings highlight the importance of considering the identified factors in designing interventions to prevent and control Internet addiction among students.
Time Preferences Across Language Groups: Evidence on Intertemporal Choices from the Swiss Language Border

Differences in patience across language groups have recently received increased attention in the literature. We provide evidence on this issue by measuring time preferences of French and German speakers from a bilingual municipality in Switzerland where institutions are shared and socio-economic conditions are very similar across the two language groups. We find that French speakers are significantly more impatient than German speakers, and differences are particularly pronounced when payments in the present are involved. Estimates of preference parameters of a quasi-hyperbolic discounting model suggest significant differences in both present bias (β) and the long-run discount factor (δ) across language groups.
Effects of Sound from Seismic Surveys on Fish Reproduction, the Management Case from Norway

Anthropogenic noise has been recognized as a source of concern since the beginning of the 1940s and is receiving increasingly more attention. While international focus has been on the effects of noise on marine mammals, Norway has managed seismic surveys based on the potential impact on fish stocks and fisheries since the late 1980s. Norway is, therefore, one of very few countries that took fish into account at this early stage. Until 1996, spawning grounds and spawning migration, as well as areas with drifting eggs and larvae were recommended as closed for seismic surveys. Later results showed that the effects of seismic surveys on early fish development stages were negligible at the population level, resulting in the opening of areas with drifting eggs and larvae for seismic surveys. Spawning grounds, as well as concentrated migration towards these, are still closed to seismic surveys, but the refinement of areas and periods have improved over the years. Since 2018, marine mammals have been included in the advice to management. The Norwegian case provides a clear example of evidence-based management. Here, we examine how scientific advancements informed the development of Norwegian management and how management questions were incorporated into new research projects in Norway.
Long-Term Phosphorus Application Impacts on Aggregate-Associated Carbon and Nitrogen Sequestration in a Vertisol in the Mediterranean Turkey

Abstract Fertilizers are among major contributors to the production of aboveground and belowground biomass. Soil organic carbon (SOC) concentration is an important factor affecting crop productivity in semiarid clayey soils of low fertility. A long-term experiment was established in 1998 on a Vertisol in the Mediterranean coast of Turkey, to assess the effects of four rates of application of inorganic phosphorus (P) fertilizers (0, 50, 100, and 200 kg P2O5 ha−1) on soil bulk density (&rgr;b), carbon (C) and nitrogen (N) concentrations, SOC and N pools, C and N sequestration rate, aggregate fractions, water-stable aggregates, and the mean weight diameter (MWD). Thus, disturbed and undisturbed soil samples were collected from the 0- to 15-cm depth after wheat (Triticum aestivum L.) harvest in June 2010 to analyze soil properties. Increase in the rate of application of P fertilizers significantly increased &rgr;b and reduced porosity (%). The SOC concentration was significantly more in the treatment receiving 200 kg P2O5 ha−1 than in the control. The carbon-nitrogen ratio was less than 10 in control and greater than 10 in high P fertilizer treatments. Total amount and rate of C and N sequestration increased with increase in the rate of application of P fertilizers. The mean rate (kg C ha−1 y−1) of C sequestration was −110.9 for control and 556.9 for the highest rate of P fertilizer. Increase in fertilizer rate also significantly increased the rate (kg N ha−1 y−1) of N sequestration, which was −0.21 for control and 28.9 for the highest rate of P fertilizer treatment. The SOC concentrations differed among aggregate-size fractions, which were greater in 0.5- to 2.0-mm aggregate size than those in the fraction of less than 0.25 mm. Greater SOC concentrations were observed in 1- to 2-mm and 0.5- to 1-mm size fractions than in fractions of less than 0.25 mm. Concentrations of C and N decreased significantly with decrease in aggregate size of less than 0.25 mm. There was a general trend of increase in water-stable aggregates and MWD with increase in application of P fertilizer. The highest MWD (1.81 mm) was observed in the high P rate and lowest (1.36 mm) in the control. Macroaggregates were more enriched in C and N than microaggregates. The mean rate of SOC sequestration with 200 kg P2O5 ha−1 treatment is ∼560 kg C ha−1 y−1. The effects of long-term P fertilizer application on C and N sequestration finding(s) of from this study have not been previously observed.
Management of Internal Derangement of Temporomandibular Joint Disc Displacement with Reduction Using Two Different Lines of Treatment

Objective: This study was to compare the effectiveness of arthrocentesis versus the insertion of anterior repositioning splint (ARS) in improving the mandibular range of motion (MRM) for patients with the temporomandibular joint (TMJ) anterior disc displacement with reduction (ADDwR). Methods: 36 patients diagnosed as ADDwR were recruited and divided randomly into two groups. The first group (G1) was treated by arthrocentesis, and the second (G2) was treated using ARS. All patients were reexamined after six months. Results: Except that for protrusive movement, there were significant differences between the two groups for the percentage changes of the MRM as measured by the amount of pain free opening, unassisted opening, maximum assisted opening, right lateral and left lateral movements (p < 0.05). Conclusion: Within the context of the current study, the non-invasive, lower cost ARS, provided better results in improving the MRM when managing ADDwR cases KEYWORD Arthrocentesis, Anterior Repositioning Splint, TMD, Internal Derangement, Anterior Disc displacement, Mandibular Range of Motion.
Perceived Devaluation and Discrimination toward mental illness Scale (PDDs): Its association with sociodemographic variables and interpersonal contact in a Mexican sample

Introduction. Research about stigma on mental illness in different sociocultural contexts is crucial to guide international efforts to reduce discrimination. Objective. Analyze the psychometric properties of the Perceived Devaluation and Discrimination (PDD) scale adapted for the Mexican population and its relationship with sociodemographic variables and interpersonal contact. Method. The study was based on a psychometric and cross-sectional design. The PDD scale was applied to a sample of 295 participants recruited through community programs in the south of Mexico City. Data were analyzed using confirmatory factor analysis to identify the subscales of PDDs. These subscales were compared by age, gender, and education using a univariate analysis. One-way analysis of variance (ANOVA) was then performed to determine whether there were differences in educational level between three PDDM-subscales. Results. The PDD scale obtained an adequate global internal consistency (α = .78). Three PDDs factors were identified: myths and stereotypes, favorable attitudes, and social exclusion, which explain 57.8% of the total variance. The results shows an Χ2SB = 140.88 (df = 143, p = .05, CFI = 1, RMSEA = .000, CI [.000, .029]). Other findings showed significant differences in favorable attitudes toward mental illness subscale by gender and age. The ANOVA results for the social perception of the devaluation subscale reveal that those with a higher educational level could be more aware about devaluation in society toward people with mental illness than other groups with lower education (F = 4.88, p = .005). Discussion and conclusion. The PDD-M scale adapted in Mexico is a culturally valid and reliable measure that could be useful for evaluating the variations and commonalities of public stigma in comparative studies between Latino populations and other international research contexts.
An organic crystalline state in ageing atmospheric aerosol proxies: spatially resolved structural changes in levitated fatty acid particles

Abstract. Organic aerosols are key components of the Earth’s atmospheric system. The phase state of organic aerosols is known to be a significant factor in determining aerosol reactivity, water uptake and atmospheric lifetime – with wide implications for cloud formation, climate, air quality and human health. Unsaturated fatty acids contribute to urban cooking emissions and sea spray aerosols. These compounds, exemplified by oleic acid and its sodium salt, are surface active and have been shown to self-assemble into a variety of liquid-crystalline phases upon addition of water. Here we observe a crystalline acid–soap complex in acoustically levitated oleic acid–sodium oleate particles. We developed a synchrotron-based simultaneous Small-Angle & Wide-Angle X-ray Scattering (SAXS/WAXS)/Raman microscopy system to probe physical and chemical changes in the proxy during exposure to humidity and the atmospheric oxidant ozone. We present a spatially resolved structural picture of a levitated particle during humidification, revealing a phase gradient consisting of a disordered liquid crystalline shell and crystalline core. Ozonolysis is significantly slower in the crystalline phase compared with the liquid phase and a significant portion (34 ± 8 %) of unreacted material remains after extensive oxidation. We present experimental evidence of inert surface layer formation during ozonolysis, taking advantage of spatially resolved simultaneous SAXS/WAXS experiments. These observations suggest atmospheric lifetimes of surface-active organic species in aerosols are highly phase dependent, potentially impacting on climate, urban air quality and long-range transport of pollutants such as Polycyclic Aromatic Hydrocarbons (PAHs).
Advanced methods to investigate hydro‐morphological processes in open‐water environments

Hydro‐morphology describes the interactions between water and sediments in fluvial systems and the corresponding processes across all spatial and temporal scales. The results are natural and anthropogenically influenced bed structures and fluvial landforms. However, many of these hydro‐morphological processes cannot be described analytically yet, as a result of their stochastic behaviour and the multitude of processes involved across spatial and temporal scales. Deeper knowledge of these processes is essential, not only for understanding the system itself, but also for practical applications, which rely on correct and reliable investigations of these processes. During the European Geoscience Union (EGU) General Assembly (GA) 2018 in Vienna, Austria, the conveners of the session on “Measurements, monitoring and numerical modelling of sedimentary and hydro‐morphological processes in open‐water environments” had the idea of initiating a special issue, containing a collection of recent achievements in this research field. The aim of this extended introduction is twofold. First, an overview on research needs in investigating hydro‐morphological processes in open‐water environments is given in this article. Second, recently published studies that aim to improve the understanding of hydro‐morphological processes in rivers, lakes and reservoirs by innovative measurement approaches are discussed. In addition to submitted papers collected from the EGU GA in 2017, 2018 and 2019, related studies published in Earth Surface Processes and Landforms (ESPL) over the last two years are also incorporated into this special issue. The papers selected cover a wide range of studies with differing spatial and temporal resolutions. This broad spectrum of different scales clearly indicates the challenges associated with the development and use of advanced methods for investigating hydro‐morphological processes in open‐water environments.
A look over students’ shoulders when learning mathematics in home-schooling

This study aims to uncover some key elements of successful home-learning of mathematics, based on students’ perceptions, during the COVID-19 pandemic and offer recommendations for mathematics learning beyond the crisis. Throughout our work, we aimed to examine students’ reflections on mathematics learning and learning environments that assisted their ease of transition from in-school face-to-face learning to home-schooling during the COVID-19 isolation. In this paper, we will present how mathematics learning has changed for upper secondary school students in Austria and outline students’ perspectives in relation to their new learning experiences during the period of school closures. Through the use of case study principles enhanced by some design-based research approaches, we were able to illustrate that (a) familiarity with the context, (b) problems or tasks as learning triggers, (c) mathematics learning as a social as well as individual process, and (d) perceived positive cost-benefit analysis of learning mathematics are key to students’ learning success. Although these categories were key for the students when learning mathematics in home-schooling during the current crisis, these categories could be equally considered when education moves back to school or in mixed learning environments post COVID-19.
Does Government Spending in Health, Education, and Military Improve Welfare in Asian Developing Countries?

The study of government expenditure is essential for economists and policy-makers. This study aims to analyze the impact on various government spending mainly on education, health, and military on the effect of welfare on Asian Countries. This study is conducted to 20 Asian countries that are constructed to a panel data from 2000 – 2010. This analysis utilizes the general least square (GLS) method using STATA 14. Analysis indicates that government spending in health, military, and education has a positive and significant effect on welfare on Asian Countries. It is concluded that government health expenditure has the highest impact on welfare followed by education and military spending.