Miracle-dz/UniFAR-FTUs huggingface dataset:
A Bunch of Models, a Bunch of Nulls and Inference About Predictive Ability

Inference about predictive ability is usually carried out in the form of pairwise comparisons between two competing forecasting methods. Nevertheless, some interesting questions are concerned with families of models and not just with a couple of forecasting strategies. An example of this would be the question about the predictive accuracy of pure time-series models versus models based on economic fundamentals. It is clear that an appropriate answer to this question requires comparing families of models, which may include a number of different forecasting strategies. Another usual approach in the literature consists of comparing the accuracy of a new forecasting method with a natural benchmark. Nevertheless, unless the econometrician is completely sure about the superiority of the benchmark over the rest of the methods available in the literature, he/she may want to compare the accuracy of his/her new forecasting model, and its extensions, against a broader set of methods. In this article we present a simple methodology to test the null hypothesis of equal predictive ability between two families of forecasting methods. Our approach corresponds to a natural extension of the White (2000) reality check in which we allow for the families being compared to be populated by a large number of forecasting methods. We illustrate our testing approach with an empirical application comparing the ability of two families of models to predict headline inflation in Chile, the US, Sweden and Mexico. With this illustration we show that comparing families of models using the usual approach based on pairwise comparisons of the best ex-post performing models in each family, may lead to conclusions that are at odds with those suggested by our approach.
Physical properties of γ Doradus pulsating stars and their relationship with long-period δ Scuti variables

We present LAMOST data on 168 γ Doradus (γ Dor) pulsating stars including stellar atmospheric parameters of 137 variables and spectral types for all of the samples. The distributions of period (P), temperature (T), gravitational acceleration (log(g)) and metallicity [Fe/H] are shown. It is found that most γ Dor variables are main-sequence stars with early F spectral types and temperatures from 6880 K to 7280 K. They are slightly more metal poor than the Sun with a metallicity range from −0.4 to 0. On the H-R and log g–T diagrams, both the γ Dor and δ Scuti (δ Sct) stars occupy in the same region and some are beyond the borders predicted by current stellar pulsation theories. It is discovered that the physical properties of γ Dor stars are similar to those of long-period δ Sct (P > 0.3 d) stars. The stellar atmospheric parameters are all correlated with the pulsation period for short-period δ Sct variables (P < 0.3 d), but there are no such relations for γ Dor or long-period δ Sct stars. These results reveal that γ Dor and long-period δ Sct are the same group of pulsating stars and they are different from short-period δ Sct variables. Meanwhile, 33 γ Dor stars are identified as candidates of binary or multiple systems.
Serveur Académique Lausannois SERVAL serval.unil.ch Guidelines for the use and interpretation of assays for monitoring cell death in higher eukaryotes.

Cell death is essential for a plethora of physiological processes, and its deregulation characterizes numerous human diseases. Thus, the in-depth investigation of cell death and its mechanisms constitutes a formidable challenge for fundamental and applied biomedical research, and has tremendous implications for the development of novel therapeutic strategies. It is, therefore, of utmost importance to standardize the experimental procedures that identify dying and dead cells in cell cultures and/or in tissues, from model organisms and/or humans, in healthy and/or pathological scenarios. Thus far, dozens of methods have been proposed to quantify cell death-related parameters. However, no guidelines exist regarding their use and interpretation, and nobody has thoroughly annotated the experimental settings for which each of these techniques is most appropriate. Here, we provide a nonexhaustive comparison of methods to detect cell death with apoptotic or nonapoptotic morphologies, their advantages and pitfalls. These guidelines are intended for investigators who study cell death, as well as for reviewers who need to constructively critique scientific reports that deal with cellular demise. Given the difficulties in determining the exact number of cells that have passed the point-of-no-return of the signaling cascades leading to cell death, we emphasize the importance of performing multiple, methodologically unrelated assays to quantify dying and dead cells.
Measuring pre-service teachers' professional vision of inclusive classrooms : a video-based comparative judgement instrument Reference:

This study reports on the development and validation of a video-based measurement instrument to assess pre-service teachers’ (n=278) professional vision of inclusive classrooms (PVIC). PVIC includes two dimensions of teacher quality that are essential in effective inclusive classrooms: (positive) teacher-student interactions (TSI) and differentiated instruction (DI). It is the first study to measure pre-service teachers’ professional vision through a holistic videobased approach using comparative judgement. The validity framework of Chan (2014) was used to investigate construct validity. The results show that the instrument is reliable and valid, and recommendations for use in teacher education programs are formulated.
A prospective observational study on the clinical profile of ischemic stroke in a tertiary care centre in Thrissur, Kerala

Introduction: India is facing an increasing burden of diseases like coronary artery disease and stroke. Another peculiarity is that the number of cases of stroke in the young is more when compared to the west. There are also discrepancies among the different states of India regarding the epidemiological and clinical features of stroke. The aim of this study was to gather information regarding the clinical profile of patients admitted with ischemic stroke in a tertiary care centre in Thrissur, a district in the state of Kerala. Materials and Methods: The study included 100 consecutive patients admitted with the diagnosis of ischemic stroke, in the medicine wards of Government Medical College Thrissur. Patients above the age of 18 years and those cases in which the diagnosis was confirmed by CT scan of the brain were included in the study. Results: The majority of the patients were above 65 years of age (63%) and among the elderly 34 (54 %) belonged to the age group of 65-74 years. In the age group above 65 years there were more females than males. The most common risk factor for stroke was hypertension. In the age group above 65 years, majority of the females had high LDL cholesterol values (>100 mg %) p 0.02 OR 4.7 95%CI 1.38-15.9. Conclusion: Elderly females have a greater predilection for the occurrence of stroke. Hypertension is the most common risk factor for stroke. Elevated LDL cholesterol is observed more often in elderly females. Earlier interventions aimed at the risk factors may prevent the occurrence of stroke.
Assessment of Left Ventricle Systolic Function by 2D Speckle Tracking Echocardiography in Patients with Subarachnoid Hemorrhage

Article information Background: Subarachnoid hemorrhage [SAH] is a neurological emergency with high mortality rates; Cardiac dysfunction with unfavorable neurological outcomes is common association. The Aim of The Work: Subclinical left ventricular systolic dysfunction and its association with the outcome of SAH was assessed. Patients and Methods: 120 cases were involved in this study divided in to two groups 60 healthy control group and 60 Patients with non-traumatic aneurysmal SAH. They were scaled according to Hunt & Hess scale and analyzed for age, sex, history of hypertension, diabetes mellitus, and smoking. ECG was done for all cases, Serum cholesterol, LDLc and troponin I were measured. Conventional and 2D speckle tracking echo were done for the following parameters, ejection fraction EF [by both M mode and biplane], LVEDD, LVESD, LVFS, RWMA and LV GLS. Results: Female gender was more affected beside, significant increases hypertension, smoking, s. cholesterol, LDLc, and troponin I. ECG showed significant ST-T wave changes and prolongation in QTc . Conventional echocardiography showed no significant changes regarding EF, FS, LVEDD and LVESD while, there were significant RWMA in the form of anteroseptal hypokinesia. Strain imaging of LV showed significant reduction of LV GLS in SAH cases which indicates subclinical dysfunction. Hunt& Hess scaling showed about 28.3% of cases had 3 grades which indicated bad prognosis of these cases. Positive correlation between Hunt & Hess scale and hypertension, troponin I and LV GLS which confirms the association between myocardial damage and bad clinical outcome of SAH. Conclusion: Subclinical myocardial damage and dysfunction is common complication of SAH, which is associated with poor prognosis SAH.
The Effect of Resilience on the Productive Work Behavior of Orphanage Caregivers in Tangerang

An orphanage is one form of non-profit organization. Productive work behavior needs to be done by orphanage caregivers in the course of their duties. Productive work behavior is the behavior of a person who contributes positively to both the organization and the environment. One of the factors that influence productive work behavior is resilience. Resilience is the ability to cope with and adapt to severe events or problems that occur in life. This study aims to discover the effect of resilience on the productive work behavior of orphanage caregivers in the Tangerang area. The research was conducted quantitatively using the Connor-Davidson Resilience Scale and Productive Work Behavior scale. A total of 32 participants from nine orphanages in Tangerang became research subjects using purposive sampling technique. Using a linear regression technique, the results showed that, statistically, resilience affects productive work behavior by 51.9% (R2=.519, B=.728, p=.000; p<.01). We also found that the level of a person’s resilience, in particular their personal competence, has the most significant impact on productive work behavior. It is suggested that orphanages in Tangerang create programs to increase the resilience of orphanage caregivers and to maintain their productive work behavior.
Assessment of risk factors for HIV infection among men who have sex with men in the metropolitan area of Campinas City, Brazil, using respondent-driven sampling

See next page for additional authors Follow this and additional works at: https://knowledgecommons.popcouncil. org/ departments_sbsr-hiv Part of the Demography, Population, and Ecology Commons, Gender and Sexuality Commons, Health Policy Commons, Immune System Diseases Commons, International Public Health Commons, Medicine and Health Commons, Public Health Education and Promotion Commons, and the Virus Diseases Commons
An Exploration/Investigation of General Practitioners’ and General Practice Nurses’ Opinions on Physical Activity Promotion to their Patients in Ireland

Chronic disease rates are increasing globally, this is partially attributable to the global epidemic of physical inactivity. Physical activity promotion in primary care is regarded as the best approach for combating chronic disease. This study investigated the common beliefs and opinions among general practitioners and nurses on promoting physical activity to patients in Ireland. This research took a mixed-methods approach consisting of an online questionnaire (n=79) and semi-structured interviews (n=8). Lack of time, expertise, cohesiveness, referral pathways, and exercise professionals were the main barriers to physical activity promotion experienced. A small minority (7.6%) of participants were trained in exercise prescription, and 40.5% had knowledge of a local exercise professional. Furthermore, the research indicated that 70.2% of GPs and 86.4% of GP nurses did not provide an exercise referral. Physical activity promotion in primary care needs a cohesive approach. Involving an exercise professional is crucial to help facilitate to aid physical activity promotion
Research on Distinguishing Biological Species by Data Model and Linear Discriminant Analysis

: This article explores the classification of lizards based on their distinct pholidosis and morphological characteristics using various data attributes. The authors aim to construct a classification model that takes advantage of data attributes for both simplicity and accuracy. Additionally, the article aims to propose an adaptive model that provides recommendations according to the precision requirements of biologists and the computational environment, enhancing the model's applicability. The authors employ Fisher's and Bayesian methods from linear discriminant analysis for classification, leveraging the linear structure to ensure the model's simplicity. A novel aspect of this work is the development of a discriminative power index for variables. This index prioritizes variables with strong discriminative abilities, thus simplifying computations and improving efficiency. The results align with those obtained through exhaustive searches for optimal solutions. Furthermore, the constructed model offers classification criteria and prediction accuracy under different variable combinations, enabling biologists to adjust variables based on accuracy needs and computational constraints. This functionality enhances the model's suitability for various real-world research scenarios.
Lithium Titanate battery-based frequency modulation control strategy for doubly fed induction generator

This paper proposes a Lithium Titanate battery-based primary frequency regulation strategy for doubly fed induction generators to solve the problems of a decrease in power generation efficiency and an increase in turbine losses under a traditional over-speed load shedding control strategy. A stator voltage orientation-based dual closed-loop control strategy for the vector control system is designed for the PWM rotor converter. A grid voltage-oriented vector control is adopted for the grid converter to maintain the stability of DC bus voltage. To enable a single doubly fed induction generator to have primary frequency regulation capability, a dual Lithium Titanate energy storage device is installed on the DC bus to improve the power generation efficiency of the unit. Modeling and analysis on Matlab/Simulink to verify that the proposed control strategy not only ensures the economic benefits of the generator’s electricity but also enables the generator to have good frequency regulation capability.
Understanding winter visitation to Yellowstone National Park using revealed and stated preference modeling

SUNG, JOO-KYUNG. Understanding Winter Visitation to Yellowstone National Park Using Revealed and Stated Preference Modeling. (Under the direction of Daniel J. Phaneuf.) This research provides information needed to help resolve winter management issues at Yellowstone National Park (YNP) and also addresses methodological issues in non-market valuation. The first essay examines the effect of the temporary plan on heterogeneous snowmobile riders and guide service providers both theoretically and empirically. I find theoretically that this policy benefits guided tour providers by increasing their producer surplus and rents. Snowmobile riders are worse off because snowmobile entries are restricted and the price of a snowmobile trip increases. I estimate the demand for snowmobile entries into YNP using a variation of the method for a recreation RUM model. I find that the estimate of avoiders’ consumer surplus loss from the restriction on snowmobile access is $290,000 for a winter season. The second and third essays estimate winter visitors’ preferences and welfare impact of snowmobile policy changes at YNP using choice experiment data. The two essays, however, incorporate different pieces of data to model preferences and examine the values of additional information collected in the choice experiment questions. The extra information provides interesting insights on visitors’ behavior. I find that the detailed information makes differences in welfare measures but the rankings of different policies’ impact are unaffected. Understanding Winter Visitation to Yellowstone National Park Using Revealed and Stated Preference Modeling
Policy Research Working Paper 6295 Are the Benefits of Export Support Durable ? Evidence from Tunisia

This paper evaluates the effects of the FAMEX export promotion program in Tunisia on the performance of beneficiary firms. While much of the literature assesses only the short-term impact of such programs, the paper considers also the longer-term impact. Propensity-score matching, difference-in-difference, and weighted least squares estimates suggest that beneficiaries initially see faster export growth and greater diversification across destination markets and products. However, three years after the intervention, the growth rates and the export levels of beneficiaries are not significantly different from those of nonbeneficiary firms. Exports of beneficiaries do remain more diversified, but the diversification does not translate into lower volatility of exports. We also did not find evidence that the program produced spillover benefits for non-beneficiary firms. However, the results on the longer-term impact of export promotion must be interpreted cautiously because the later years of the sample period saw a collapse in world trade, which may not have affected all firms equally. JEL classification codes: F13, F14, L15, L25, 017, 024, C23.
Lessons from a Long-term Study of Springs and Spring Invertebrates (Sierra Nevada, California, U.S.A.) and Implications for Conservation and Management

Long-term studies (over 20 years) of the biota and physical/chemical properties of Sierra Nevada cold springs (west side Great Basin) showed the highly individualistic nature of springs even within the same stream basin. Spring invertebrate assemblages differed greatly from one spring to another, as did timing of insect emergence and abundance of species. Springs were studied before, during, and following major drought. Invertebrate species richness was greater in deeper, more permanent springs with high concentrations of dissolved ions, especially calcium. Spring permanence was determined by direct observation over time, measurement of discharge variability, correlation of discharge with ionic concentration, and water dating with chlorofluorocarbon and tritium.
The role of ion dissolution in metal and metal oxide surface inactivation of SARS-CoV-2

Antiviral surface coatings are under development to prevent viral fomite transmission from high-traffic touch surfaces in public spaces. Copper’s antiviral properties have been widely documented; but the antiviral mechanism of copper surfaces is not fully understood. We screened a series of metal and metal oxide surfaces for antiviral activity against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of coronavirus disease (COVID-19). Copper and copper oxide surfaces exhibited superior anti-SARS-CoV-2 activity; however, level of antiviral activity was dependent upon the composition of the carrier solution used to deliver virus inoculum. We demonstrate that copper ions released into solution from test surfaces can mediate virus inactivation, indicating a copper ion dissolution-dependent antiviral mechanism. Level of antiviral activity is, however, not dependent on the amount of copper ions released into solution per se. Instead, our findings suggest that degree of virus inactivation is dependent upon copper ion complexation with other biomolecules (e.g., proteins/metabolites) in the virus carrier solution that compete with viral components. Although using tissue culture-derived virus inoculum is experimentally convenient to evaluate the antiviral activity of copper-derived test surfaces, we propose that the high organic content of tissue culture medium reduces the availability of “uncomplexed” copper ions to interact with the virus, negatively affecting virus inactivation and hence surface antiviral performance. We propose that laboratory antiviral surface testing should include virus delivered in a physiologically relevant carrier solution (saliva or nasal secretions when testing respiratory viruses) to accurately predict real-life surface antiviral performance when deployed in public spaces. Importance The purpose of evaluating antiviral activity of test surfaces in the laboratory is to identify surfaces that will perform efficiently in preventing fomite transmission when deployed on high-traffic touch surfaces in public spaces. The conventional method in laboratory testing is to use tissue culture-derived virus inoculum, however this study demonstrates that antiviral performance of test copper-containing surfaces is dependent on the composition of the carrier solution in which the virus inoculum is delivered to test surfaces. Therefore, we recommend that laboratory surface testing should include virus delivered in a physiologically relevant carrier solution, to accurately predict real-life test surface performance in public spaces. Understanding the mechanism of virus inactivation is key to future rational design of improved antiviral surfaces. Here, we demonstrate that copper ions released from copper surfaces into small liquid droplets containing SARS-CoV-2, is a mechanism by which the virus that causes COVID-19 can be inactivated.
Non-uniform Trajectory Tracking AILC for Nonlinear Time-varying Parameter System with Multiple Unknown Control Directions

In this paper, a new iterative learning controller is presented for nonlinear time-varying parameter system to solve the tracking problem of different target trajectories. Based on Nussbaum function and the Lyapunov-like synthesis design the learning controller to handle system dynamics with multi-unknown control directions. Over a finite time interval, the unknown time-varying parameter is considered to be periodic, so it is expanded using a Fourier series expansion, and the remaining terms are treated with a canonical series. The controller designed in this paper can ensure that all signals of the closed-loop system are bounded in a finite time interval [0,T], and can complete non-uniform target tracking. Finally, a simulation example is given to verify the effectiveness of the designed controller.
University Memory-based word sense disambiguation

We describe a memory-based classi(cid:12)cation architecture for word sense disambiguation and its application to the senseval evaluation task. For each ambiguous word, a semantic word expert is automatically trained using a memory-based approach. In each expert, selecting the correct sense of a word in a new context is achieved by (cid:12)nding the closest match to stored examples of this task. Advantages of the approach include (i) fast development time for word experts, (ii) easy and elegant automatic integration of information sources, (iii) use of all available data for training the experts, and (iv) relatively high accuracy with minimal linguistic engineering.
ath-finding through flexible hierarchical road networks : An experiential pproach using taxi trajectory data

Optimal paths computed by conventional path-planning algorithms are usually not “optimal” since realistic traffic information and local road network characteristics are not considered. We present a new experiential approach that computes optimal paths based on the experience of taxi drivers by mining a huge number of floating car trajectories. The approach consists of three steps. First, routes are recov-