Miracle-dz/UniFAR-FTUs huggingface dataset:
Coalescing Data and Decision Sciences for Analytics

The dream of analytics is to work from common, clean, and consistent data sources in a manner that all of its facets (descriptive, predictive, and prescriptive) are supported via a coherent vision of data and decision sciences. To the extent that data and decisions sciences work within logically/mathematically consistent frameworks, and that these paradigms operate within computationally realistic structures, analytics will help organizations thrive. Done right, analytics promises to plant more OR/MS resources at C-suites where major corporate decisions are made. Done poorly, the OR/MS community will look back at these days as a lost opportunity to make a long-term difference to both theory and practice of analytics. With this tutorial, we invite the OR/MS community to join an intellectually vibrant endeavor to integrate seemingly disparate pillars, namely predictive and prescriptive analytics. Just as importantly, we show how OR/MS strengths in modeling, algorithms, and applications can facilitate coalescing the data and decision sciences. We draw upon several examples which pair data science tools such as filtering and regression, to decision science tools such as Monte Carlo tree search and stochastic programming. The marriage of these two paradigms (data and decision sciences) is what we refer to as Learning Enabled Optimization (LEO). This tutorial covers fundamental concepts for the fusion of statistical and optimization modeling, statistically approximate optimality, sampling-based algorithms, and finally, model assessment and selection.
The dust covering factor in active galactic nuclei

The primary source of emission of active galactic nuclei (AGNs), the accretion disc, is surrounded by an optically and geometrically thick dusty structure ('the so-called dusty torus'). The infrared radiation emitted by the dust is nothing but a reprocessed fraction of the accretion disc emission, so the ratio of the torus to the AGN luminosity (L-torus/L-AGN) should corresponds to the fraction of the sky obscured by dust, i.e. the covering factor. We undertook a critical investigation of the L-torus/L-AGN as the dust covering factor proxy. Using state-of-the-art 3D Monte Carlo radiative transfer code, we calculated a grid of spectral energy distributions (SEDs) emitted by the clumpy two-phase dusty structure. With this grid of SEDs, we studied the relation between L-torus/L-AGN and the dust covering factor for different parameters of the torus. We found that in the case of type 1 AGNs the torus anisotropy makes L-torus/L-AGN underestimate low covering factors and overestimate high covering factors. In type 2 AGNs L-torus/L-AGN always underestimates covering factors. Our results provide a novel easy-to-use method to account for anisotropy and obtain correct covering factors. Using two samples from the literature, we demonstrated the importance of our result for inferring the obscured AGN fraction. We found that after the anisotropy is properly accounted for, the dust covering factors show very weak dependence on L-AGN, with values in the range of approximate to 0.6-0.7. Our results also suggest a higher fraction of obscured AGNs at high luminosities than those found by X-ray surveys, in part owing to the presence of a Compton-thick AGN population predicted by population synthesis models.
ExoMol line lists - XXII. The rotation-vibration spectrum of silane up to 1200 K

A variationally computed $^{28}$SiH$_4$ rotation-vibration line list applicable for temperatures up to $T=1200\,$K is presented. The line list, called OY2T, considers transitions with rotational excitation up to $J=42$ in the wavenumber range $0$--$5000\,$cm$^{-1}$ (wavelengths $\lambda> 2\,\mu$m). Just under 62.7 billion transitions have been calculated between 6.1 million energy levels. Rovibrational calculations have utilized a new `spectroscopic' potential energy surface determined by empirical refinement to 1452 experimentally derived energy levels up to $J=6$, and a previously reported \textit{ab initio} dipole moment surface. The temperature-dependent partition function of silane, the OY2T line list format, and the temperature dependence of the OY2T line list are discussed. Comparisons with the PNNL spectral library and other experimental sources indicate that the OY2T line list is robust and able to accurately reproduce weaker intensity features. The full line list is available from the ExoMol database and the CDS database.
Brood Production by Xyleborus glabratus in Bolts from Trees Infected and Uninfect ed with the Laurel Wilt Pathogen, Raffaelea lauricola

Raffaelea lauricola is the causal agent of laurel wilt and a fungal symbiont of its vector, the redbay ambrosia beetle, Xyleborus glabratus. Beetle populations increase rapidly where redbays have died from laurel wilt. In a series of experiments using bolts from healthy and diseased trees, X. glabratus reproduced better in bolts from diseased redbay; ratio of beetles emerged to entrance holes (BE/EH ratio) ranged from 4.1 to 6.0 in diseased bolts versus 0.3 to 1.9 in healthy bolts. Emergence was greater from redbay bolts when their ends were treated with paraffin wax compared to untreated bolts. Although sassafras sapwood has been considered poor brood material for X. glabratus, bolts from a diseased sassafras had BE/EH ratios comparable to those from diseased redbay bolts. It was hypothesized that better brood production in bolts from diseased trees was due to precolonization of the bolts by R. lauricola, which would allow for better establishment of the pathogen in beetle tunnels. However, the frequency of R. lauricola isolation and colony forming units (CFU) per beetle did not differ between beetles emerged from diseased versus healthy redbay bolts. Changes in the xylem of trees with laurel wilt appear to provide conditions favorable for brood production.
Athens Institute for Education and Research ATINER ATINER ' s Conference Paper Series EDU 2017-2397

The purpose of this study is to identify students’ reactions to the implementation of team-based learning as an instructional strategy in a pharmacology course in the context of a Turkish university. Team-based learning is defined as an active form of learning that not only encourages individual effort but also team involvement to learn in an academic setting. Team-based learning is one of the learning techniques/methods that is increasingly being used in medical education. Literature shows that in team-based learning students apply the concepts at the time they are learned in the classroom, before the exams, as opposed to traditional lecturing, in which the concepts that are learned are later tested in the exams. Furthermore, research supports that faculty are more engaged with their students in team-based learning, since it affords instructors the ability to readily identify what their students are achieving, as opposed to traditional lecturing or other group approaches. There are limited studies in Turkey that examine the applications of team-based learning in a higher education setting. Therefore, this study describes the use of the team-based learning technique in an undergraduate health science course in Turkey. The initial results indicate that this instructional strategy was beneficial for students’ learning.
Traditional smoking and e-smoking among medical students and students-athletes – popularity and motivation

1 Department of Sports Medicine and Rehabilitation, Yanka Kupala State University of Grodno, Belarus 2 Department of Childhood Psychology, Krasnoyarsk Pedagogical University named after V.P. Astafiev, Russia 3 Department of Social Pedagogy and Social Work, Krasnoyarsk State Pedagogical University, Russia 4 Department of General Hygiene and Ecology, Grodno State Medical University, Belarus 5 Science-Research Institute of Medical Problems of the North, Russian Academy of Sciences, Siberian Branch, Krasnoyarsk, Russia 6 Department of Oncology and Radiation Therapy of Krasnoyarsk State Medical University, Russia
Long-term results after concomitant cardiac surgery and pulmonary resection

Background: Concomitant lesions of the heart and lung are uncommon, but when present they pose a challenge for cardiac and thoracic surgeons. Patients with lung cancer and heart disease are at a high risk for postoperative death or severe cardiovascular complications. Aim of the study: To report our results of concomitant cardiac surgery and lung resection. Material and methods: From 1994 to 2012, 18 patients with cardiac disorders and lung cancer or another lung disease were operated on. Twelve patients underwent coronary artery bypass grafting, 3 patients underwent aortic valve replacement and 3 patients underwent another cardiac surgery procedure. The pulmonary resections consisted of pneumonectomy in 1 patient, lobectomy in 6 patients and wedge excision in 10 patients. Follow-up was obtained for all 18 patients (mean follow-up 70.6 months; range 224 to 0.7 months). Results: The pathologic examination confirmed lung malignancy in 12 patients. Five patients were operated on due to a non-oncologic pathology and 1 patient underwent lung volume resection. Overall late survival was 88% and 67% at 1 and 5 years, respectively. Conclusions: Lung resection carried out concomitantly with cardiac surgery is safe and effective. A combined procedure avoids the need for a second major thoracic procedure and may improve clinical outcome.
The extractable power from a channel linking a bay to the open ocean

Abstract Interest in the power potential of tidal streams is growing worldwide. While the latest assessment for Canadian coastlines estimates a resource of approximately 42 GW, these results are based on the average kinetic energy flux through the channel. It has been shown, however, that this method cannot be used to obtain the maximum extractable power for electricity generation. This work presents an updated theory for the extractable power from a tidal stream in a channel linking a bay to the open ocean. The maximum average extractable power from a channel linking a bay to the open ocean may be estimated, within approximately 15 per cent, as 0. 22ρ gaQ0, where a is the amplitude of the dominant tidal constituent in the open ocean and Q0 is the maximum volumetric flowrate in the undisturbed state.
Surface Nanofabrication in Photosensitive Polymers at the diffraction limit of light and down to 47 nm by Metal Tip-Enhanced Near Field light : Light Induced Nanomovement of Polymers

This paper discusses surface nanofabrication in azo-polymers. Nanoscale polymer movement is induced by a tightly focused laser beam in an azo-polymer film just at the diffraction limit of light. The deformation pattern which is produced by photoisomerization of the azo dye is strongly dependent on the incident laser polarization and the longitudinal focus position of the laser beam along the optical axis. The anisotropic nanofluidity of the polymer film and the optical gradient force played important roles in the light induced polymer movement. We also explored the limits of the size of the photo-induced deformation, and we found that the deformation depends on the laser intensity and the exposure time. The smallest deformation size achieved was 200 nm in full width of half maximum; a value which is nearly equal to the size of the diffraction limited laser spot. Beyond the limit of light diffraction, a nano protrusion was optically induced on the surface of the films by metal tip enhanced near-filed illumination. A silver coated tip was located inside the diffraction limited spot of a focused laser beam (460 nm), and an enhanced near-field, with 30 nm light spot, was generated in the vicinity of the tip due to localized surface plasmons. The incident light intensity was carefully regulated to induce surface nanodeformation by such a near-field spot. A nano protrusion with 47 nm full width of half maximum and 7 nm height was induced with a resolution beyond the diffraction limit of the light. The protrusion occurs because the film is attracted towards the tip end during irradiation. At the top of the protrusion, an anisotropic nanomovement of the polymer occurs in a direction nearly parallel to the polarization of the incident light, and suggests the existence at the tip end of not only a longitudinal, i.e., along the tip long axis, but also a lateral component of the electric field of light. The azo-polymer film helps map the electric field in the close vicinity of the tip.
Segmentation for Path Models and Unobserved Heterogeneity: The Finite Mixture Partial Least Squares Approach

Partial least squares-based path modeling with latent variables is a methodology that allows to estimate complex cause-effect relationships using empirical data. The assumption that the data is collected from a single homogeneous population is often unrealistic. Identification of different groups of consumers in connection with estimates in the inner path model constitutes a critical issue for applying the path modeling methodology to form effective marketing strategies. Sequential clustering strategies often fail to provide useful results for segment-specific partial least squares analyses. For that reason, the purpose of this paper is fourfold. First, it presents a finite mixture path modeling methodology for separating data based on the heterogeneity of estimates in the inner path model, as it is implemented in a software application for statistical computation. This new approach permits reliable identification of distinctive customer segments with their characteristic estimates for relationships of latent variables in the structural model. Second, it presents an application of the approach to two numerical examples, using experimental and empirical data, as a means of verifying the methodology's usefulness for multigroup path analyses in marketing research. Third, it analyses the advantages of finite mixture partial least squares to a sequential clustering strategy. Fourth, the initial application and critical review of the new segmentation technique for partial least squares path modeling allows us to unveil and discuss some of the technique's problematic aspects and to address significant areas of future research.
Diabetic Retinopathy in Libyan Patients ; Severity and Relation to Systemic Risk Factors

Aim: To assess the prevalence and severity of diabetic retinopathy in Libyan diabetic patients referred to the Retina Clinic in the ophthalmology Hospital, Benghazi, and their relation to other risk factors. Assessment of relationship between the severity of diabetic retinopathy and the associated CSMO to: age of patient, duration of DM, HbA1C level, systolic and diastolic blood pressure and blood cholesterol levels. Method: 95 Libyan diabetic patients attending the medical retina at ophthalmology hospital Benghazi were enrolled in the study. All had dilated biomicroscopic fundus examination, blood pressure checked, HbA1c and serum cholesterol levels measured. Results: 95 patients (187 Eyes) were included in the study56 (58.9%) were 39 females while (41.1%) were males, 94 patients (98.9%) had type II diabetes mellitus. Their mean age was 58.1 years. There was NO significant correlation between the presence of CSMO and: Duration of DM, systolic BP, diastolic BP HbA1c, Serum cholesterol. (56.3%) had back ground DR, (5.8%) had preproliferative DR, (31.6%) had proliferative DR (4.7%) had advanced diabetic eye diseaseand of those (22.1%) had CSMO. Conclusion: type II diabetes mellitus was the predominant with higher diabetic retinopathy risk.Background diabetic retinopathy is most prevalent presentation.There was no significant relation between the severity of diabetic retinopathy or the CSMO to the hypertension, HbA1c orSerum cholesterol levels; apart from the duration of the disease which is the only predictor for only the severity of DR.
Fatty acid profiles and growth of African catfish (Clarias gariepinus, Burchell, 1822) larvae fed on freshwater rotifer (Brachionus calyciflorus) and Artemia as live starter feeds

The potential use of locally grown rotifers (Brachionus calyciflorus) as an alternative starter live feed to Artemia in the feeding of African catfish larvae was explored. Larvae cultured in experimental tanks under ambient hatchery conditions were fed on three experimental diets; freshly decapsulated Artemia cysts, rotifer, Brachionus calyciflorus and a combination of the two for three days following commencement of exogenous feeding. Change in Total Length (TL) measurements of larvae was used as a measure of growth and fatty acid profiles of six-day old larvae were determined using Gas chromatography-mass spectrometry (GC-MS) method. Overall, the growth of Rotifer-fed African catfish larvae was significantly better than Artemia – fed larvae (F= 47.605, P=0.000). Noteworthy, was the fact that catfish larvae fed on a mixture of rotifers and Artemia grew faster (10.04±0.45 mm, P=0.000) than those fed on either rotifers or Artemia (Rotifer-9.04±0.58 mm, Artemia -8.78±0.54 mm, P=0.147). Significantly higher composition of Arachidonic acid (AA) and Docosahexaenoic acid (DHA) were recorded for rotifer -fed larvae than for Artemia-fed larvae (AA: F=22.292 and P=0.016, DHA: F=28.740, P=0.011). These essential fatty acids play a significant role in the structural, physiological and functional development of larval fish and may explain the better growth recorded in this study. A combination of rotifers with Artemia was of an added advantage possibly due to the large-sized Artemia that makes catchability easy. The results demonstrated that partial or total replacement of Artemia with rotifers as a live starter feed for African catfish larvae is feasible because they compete favourably with Artemia in fish larvae growth performance.
THE IMPACTS ON SEEDLING ROOT GROWTH OF WATER AND SALINITY STRESS IN MAIZE (ZEA MAYS INDENTATA STURT.)

BILGIN, O. , I. BASER, K. Z. KORKUT, A. BALKAN and N. SAGLAM, 2008. The impacts on seedling root growth of water and salinity stress in maize (Zea mays indentata Sturt.). Bulg. J. Agric. Sci., 14: 313-320 Effects of salinity and available water level at the seedling stage of dent corn variety were examined for some shoot and root characters. Two different salinity and four available soil water level had no effect on the emergence of corn. The highest values for root dry matter, leaf water loss, shoot fresh weight were obtained in 1.35 salinity water treatment. Generally, 2.7 salinity water treatment was decreased by all of the characters except for the number of leaves per plant and leaf fresh weight. 75% available water treatment caused in increasing the dry matter root and shoot, fresh weight for root and shoot, shoot and root length, number of leaves per plant and leaf fresh weight. The lowest values for all the characters were obtained by 25 % available water treatments.
EFFECTIVENESS OF LIGHT THERAPY ON DEPRESSION IN HOSPITALIZED MAJOR DEPRESSIVE PATIENT

ABSTRACT Introduction : The present study was carried out to explore the effectiveness of light therapy to reduce depression among hospitalized Depressive patient. Methods : Single subject (N=1) experimental design was utilized. Beck’s Depression Rating Scale was administered to ascertain the level of depression. Light therapy was administered for a period of 7 consecutive days. The level of depression was assessed before and after the administration of light therapy. Results : The data was analyzed with the appropriate statistical technique. The result revealed that there was significant decrease in the level of depression after light therapy. Conclusions : This finding indicates that the light therapy has influenced in reducing the level of depression. Hence, light therapy can be adopted as effective mechanism to treat depression.
Wood Quality of Chestnut: Relationship between Ring Width, Specific Gravity, and Physical and Mechanical Properties

This article investigates the relationships between ring width (expressed as ring width class) and cambial age (expressed as chronological class) with specific gravity, modulus of rupture (MOR), compressive strength, and shrinkage. On those stands located on volcanic soils, it was found that when moving from the first ring width class (≤2 mm) to the seventh class (≥7 mm), a total decrease in specific gravity of 12.7% was observed, accompanied by a 19.5% decrease in compressive strength and a 22.8% decrease in MOR. With an increase in tree age, as expressed by the chronological class, there was a general decrease in the values of specific gravity, MOR, and compressive strength. It was therefore determined that chronological class is related to ring width, while specific gravity can predict MOR and compressive strength values for trees grown at volcanic sites. The results for a stand grown on calcareous soils showed a different trend. Furthermore, it was confirmed by cross-variance analysis that there was a correlation between ring width and chronological class.
Raman and infrared spectroscopic study of the vivianite-group phosphates vivianite , baricite and bobierrite

The molecular structure of the three vivianite-structure, compositionally related phosphate minerals vivianite, baricite and bobierrite of formula M3 (PO4)2.8H2O where M is Fe or Mg, has been assessed using a combination of Raman and infrared (IR) spectroscopy. The Raman spectra of the hydroxylstretching region are complex with overlapping broad bands. Hydroxyl stretching vibrations are identified at 3460, 3281, 3104 and 3012 cm ­ 1 for vivianite. The high wavenumber band is attributed to the presence of FeOH groups. This complexity is reflected in the water HOH-bending modes where a strong IR band centred around 1660 cm ­ 1 is found. Such a band reflects the strong hydrogen bonding of the water molecules to the phosphate anions in adjacent layers. Spectra show three distinct OHbending bands from strongly hydrogen-bonded, weakly hydrogen bonded water and non-hydrogen bonded water. The Raman phosphate PO-stretching region shows strong similarity between the three minerals. In the IR spectra, complexity exists with multiple antisymmetric stretching vibrations observed, due to the reduced tetrahedral symmetry. This loss of degeneracy is also reflected in the bending modes. Strong IR bands around 800 cm ­ 1 are attributed to water librational modes. The spectra of the three minerals display similarities due to their compositions and crystal structures, but sufficient subtle differences exist for the spectra to be useful in distinguishing the species.