Miracle-dz/UniFAR-FTUs huggingface dataset:
Multistage risk-averse asset allocation with transaction costs

This paper deals with asset allocation problems formulated as multistage stochastic programming models. Dynamic models allow rebalancing the portfolio multiple times before the final investment horizon is reached. The CVaR risk measure is used for its favorable properties and time consistent model is developed. The risk-aversion coefficients are separate for every stage, which covers a wide range of investment strategies. For example one could start with an aggressive investment policy, but focus on reducing the risk as the final stage approaches. The stock prices are assumed to be interstage independent and to follow lognormal distribution. The Stochastic Dual Dynamic Programming algorithm is then applied to solve the presented models. An extensive numerical study based on the data from Prague Stock Exchange compares the results obtained from static two stage models with the results from dynamic models having multiple stages. Both cases, with or without the transaction costs, are considered. The computational part of this work is realized in C++ language and uses CPLEX to solve the linear programs.
A PRELIMINARY COMPARISION AND ANALYSIS OF THE CLINICAL AND RADIOLOGICAL SUCCESS OF DIFFERENT GRAFT MATERIALS APPLIED BY TUNNEL TECHNIQUE IN ATROPHIC MANDIBLE

Background and Aim: Allografts and alloplasts are graft materials with satisfactory clinical outcomes that can be obtained in sufficient quantities. This report aims to determine and compare the contribution of alloplast and allograft materials applied to the atrophic mandibular crest with the tunnel technique. Materials and Methods: 14 patients with unilateral mandibular posterior atrophic crests were included, randomly divided into two groups. Computed tomographic images were taken preoperatively from patients with stents. Horizontal and vertical bone were determined preoperatively. During surgeries, the mucoperiosteal flap was elevated using the “tunnel technique,” then both graft materials were placed into the flaps. Follow-up programs were scheduled at each month after surgeries. Computed tomographic images were taken for postoperative measurements with acrylic stents at the end of the fourth month. Results: Postsurgical healing was uneventful for each group. There was a statistically significant increase in crest height and width in both groups (p=0.005, p=0.016, p=0.011, p=0.001; p<0.05 (alloplast graft group), p=0.000; p<0.05 allograft group, respectively). The allograft group had statistically significantly higher bone volume both horizontally and vertically (p=0.01; p<0.05). Although there was a significant increase in the amount of bone volume in patients in the alloplast graft group, clinically, the bone was not suitable for implant placement because adequate primary stability had not been achieved during implant placement. Conclusion: It is possible to state that both study materials contribute to the increase in crest dimensions. However, in the alloplast graft group, the quality of the remodeling bone was not adequate for implant rehabilitation.
Chemical Shifts and Lifetimes for Nuclear Magnetic Resonance (NMR) Analysis of Biofuels

Determination of the molecular composition of biofuels is critical to process development. Because biofuels, such as pyrolysis oil, contain hundreds of compounds, quantitative determination of the mixtures is a formidable task and is often not necessary for routine development work. 13C and 1H nuclear magnetic resonance (NMR) offer a reasonable trade-off between functional group identification and analytical measurement effort. However, accuracy depends upon selection of chemical-shift regions, baseline compensation, and correction for incomplete longitudinal relaxation effects. We propose chemical-shift assignments and T1 correction factors based on 13C and 1H NMR measurements of over 50 compounds that have been previously identified in pyrolysis oils and several plant natural products, especially terpenes. The results are intended to allow for a semiquantitative assessment of molecular composition of bio-oils on a time scale of 1−8 h to provide feedback for process development.
Comparative Forecasting Analysis of ARIMA Model vs Random Forest Algorithm for A Case Study of Small-Scale Industrial Load

- Ensuring sustainability in electric power grid requires a high-efficiency energy management system with lessened energy depletion. Hence, a smart power grid with an utmost flexible management system alongside an intelligent officiating capability has no alternatives. Predicting the future energy requirement is considered as one of the key features of smart grid. Therefore, the studies of the energy forecasting have started to contribute to the path of efficient energy management for the grid. This paper presents a comparative analysis of forecasting energy demand between a Time series analysis technique (ARIMA model) and a Machine learning technique (Random Forest). A benchmark data set of the small-scale industrial load is taken as consideration for “train and test” both methods. Both techniques are trained and tested on monthly (Short Term Load Forecasting) and yearly (Long-term load forecasting) timespan data. A comparative study depending on the accuracy rate between these two algorithms are is presented for forecasting energy demand.
Effects of Frangipanni (Plumeria Rubra) Flower Meal as Feed Additive on the Performance and Egg Laying Index of Isa Brown Birds

The unprecedented upward movement of feed prices, which alone accounts to 70% of the cost of layer production (Barletta, 2010), has forced the nutritionists to formulate and provide economical diet and to ensure optimum performance. Use of chemical feed additives as growth promoters to save feed and production costs by increasing the feed efficiency has got criticism due to adverse effect on consumers. Natural feed additives particularly herbal growth promoters are generally liver tonics which optimize hepatic functions of the birds (Wu et al., 2005). They help in better feeding, synthesis of amino acids and minimize the aflatoxin effects.
Learning analytics in a flipped university course

In this poster, we describe the design of a university course with a blended learning character. Learning analytics were used both within the course to facilitate effective teacher-student interaction, as well as after the course to examine patterns between students' activities during the course and their performance on the test and the group assignment at the end of the course.
The contributions of μ‐, δ‐and κ‐opioid receptors to the actions of endogenous opioids on spinal reflexes in the rabbit

1 Spinal reflexes in the rabbit are suppressed tonically by endogenous opioids. The contributions made to this suppression by μ‐, δ‐and κ‐opioid receptors have been investigated by studying the actions of a range of opioid antagonists and agonists on reflexes evoked by sural nerve stimulation in the ankle extensor gastrocnemius medialis (g.m.), and in the knee flexor semitendinosus (s.t.). 2 When given at a total dose of 88.5 μg kg−1 i.v. , either of the universal opioid receptor antagonists (–)‐naloxone and (–)‐quadazocine enhanced the g.m. response to more than 7 times the pre‐drug control values, and the s.t. reflex to 1.5 times controls. The effects of quadazocine were stereospecific. The selective δ antagonist ICI 174864 (3.5 mg kg−1 i.v. total) also augmented the g.m. reflex but only to twice pre‐drug controls. 3 The μ‐agonists fentanyl (100 μg kg−1) and morphine (50 mg kg−1) suppressed both g.m. and s.t. reflex responses to less than half control levels by a naloxone‐reversible mechanism. 4 The κ‐agonists bremazocine (50 μg kg−1 total), tifluadom (100 μg kg−1), ethylketocyclazocine (200 μg kg−1) and U50488H (1 mg kg−1) potentiated the g.m. reflex and had variable effects on the s.t. response. Naloxone usually added to the facilitatory actions of these drugs. κ‐Opioid receptor agonists also caused a profound, naloxone‐reversible depression of arterial blood pressure. 5 It may be concluded that the endogenous opioid‐mediated suppression of spinal reflexes in the rabbit is mediated mainly, if not exclusively, through μ‐receptors. There are no known endogenous ligands which are specific for the μ‐receptor, so in the present case it seems that selectivity is determined by the receptor population rather than by the ligand.
FACTORS INFLUENCING RURAL FARM HOUSEHOLDS PARTICIPATION DECISION ON IRRIGATION IN ILLU ABBA BORI ZONE, OROMIA REGION, ETHIOPIA

The overall objective of this study is to analyze factors affecting participation decision and effects of the variables on income of smallholder farmers in Illu Abba Bor Zone in five Woredas’. The study was based on cross-sectional data collected from a sample of 238 households using stratified random sampling technique. Both descriptive and inferential (econometric) analysis were followed in the study. The econometric analysis employed is Heckman two-step procedure to identify factors influencing rural farm households’ participation decision in small scale irrigation and to determine effect of factors on households’ income. The findings from the study showed that, distance from nearest water source to household home,nonfarm & off-farm income were negatively and significantly related to participation in the scheme. However, household head education status, livestock holding, amount of production input used, total family size of household, access to extension services, availability of active labor force and land topography of the household head influence positively and significantly.
Importance of Marker Assisted Selection in Fish Breeding in India: Challenges and Opportunities

The important economical traits like body growth, resistance to diseases, meat quality, etc. highly influence the profitability of the food animals including fishes. The main target of every selective breeding programme is to produce improve offspring for these traits. However, improvement of performance traits through traditional phenotype-based selection needs several generations to optimise these characters. Other problems associated with the traditional breeding programme is the maintenance of each generation and complexity of the measure qualitative trait such as meat quality. Marker-Assisted Selection (MAS) can be the best alternative to solve these problems. Marker-Assisted Selection (MAS) is a type of indirect method of selection of better performing breeding individuals. MAS depends on identifying the link between a genetic marker and Quantitative traits loci (QTL). The distance between marker and target traits determines the association of the marker with the QTL. After identifying the markers linked to QTL, they can be used in the selective breeding programme to select the brooders having better genetic potential for the targeted trait. Improvement of performance traits through MAS is fast and more accurate and allows us to understand the genetic mechanism affecting performance traits.
Studies on the Solid Solution of Mn in BaTiO3

BaTi1-xMnxO3 solid solutions with 0≤x≤0.04 were synthesized in reducing atmosphere (PO2<10-9 Pa) and in air at 1350°C for 2 h. The effect of Mn ions with different valences on the crystal structure of BaTiO3 was studied by the room-temperature Raman scattering, electron spin resonance (ESR) and X-ray powder diffraction analyses. The crystal structure of the solid solution was analyzed to determine the change of its lattice parameters. It was found that in a reducing atmosphere, Mn2+ ions promoted the tetragonal-to-cubic transformation, as both a contraction of c-axis and an extension of a-axis were observed with an increase in Mn content. In contrast, Mn ions in the air-synthesized samples promoted the tetragonal-to-hexagonal transformation. The formation of the hexagonal phase was accompanied by a strong extension of the c-axis of the tetragonal phase from 4.032 Å to 4.042 Å. This was attributed to Jahn-Teller distortions caused by Mn3+ ions.
Detecção de Baixa Complexidade para Constelações Multidimensionais com Diversidade Completa Baseadas na Abordagem Combinatorial

—A combinatorial approach was recently proposed for the design of multidimensional signal constellations for fading channels. Albeit ﬂexible and guaranteeing full signal space diversity, the technique adopts the exponentially complex optimal maximum likelihood (ML) detection. In this work, we propose two low complexity detection algorithms, a sub-optimal one, based on lists, and an optimal one, based on a simpliﬁcation of ML. Both algorithms have a good trade-off between performance and complexity. Simulation results show that optimal or close to optimal performance can be achieved with up to 98% reduction in detection complexity.
A Framework for Action Detection in Virtual Training Simulations Using Synthetic Training Data

In virtual military training, tracking and evaluating trainee behavior throughout a simulation exercise helps address specific training needs, improve the realism of simulations, and customize the training experience. While it is straightforward to parse the event log of a simulation to identify atomic behaviors such as unit movements or attacks, it remains difficult to fuse these events into higher-level actions that better characterize trainees’ intentions and tactics. For example, if each unit is controlled by an individual trainee, how should the movement information from all units be aggregated to determine what formation the group is moving in? Similarly, how can all of the information from nearby terrain environments be combined with kinetic actions to determine whether the trainees are executing an ambush attack, or is simply engaging the enemy group? While an experienced human observer-controller can quickly assess the battle map to provide an appropriate interpretation for such events, it remains a challenging task for computers to automatically detect such high-level behaviors when performed by human trainees.
Nutritional compositions, health promoting phytochemicals and value added products of bitter gourd: a review

In many Asian countries Bitter gourd (Momordica charantia L.) has been used as food and medicine from ancient times. Bitter gourd has huge positive health benefits due to present ample of phytochemicals and proteins. Bitter gourd leaf, stem and seed also contain various health promoting antioxidants such as gallic acid, caffeic acid and catechin. In the present review, physicochemical properties, nutritional values and health promoting phytochemicals as well as value added products of Bitter gourd are discussed. Subsequently, this review also would be helpful for food producers and consumers to get current knowledge about Bitter gourd for their application and industrialization.
Comparison of Biological Activity and Chemical Constituents of the Essential Oils from Leaves of Thymus caucasicus, T kotschyanus and T vulgaris

Abstract A comparison of the chemical composition, antioxidant and antibacterial activity of the essential oils obtained from the leaves of Thymus caucasicus Willd. , T. kotschyanus Boiss. & Hohen. , and T. vulgaris (L.) were carried out. The oils were obtained by hydrodistillation and were analyzed by GC and GC-MS. Twenty constituents representing 94.8 % of the essential oil of T. caucasicus, twenty - nine components 96.6 % of the T. kotschyanus oil and twenty two compounds 98.2 % of the T. vulgaris leaf oils have been identified. The oil of T caucasicus leaf was characterized by higher amounts of 1,8-cineol (21.5 %), thymol (12.6 %), β-fenchyl alcohol (8.7 %), nerolidol (7.8 %), terpinolene (7.2 %), a-pinene (7.0 %) and myrcene (6.8 %). In the oil of T kotschyanus leave, carvacrol (24.4 %), β-caryophyllene (14.5 %), y-terpinene (12.4 %), a-phellandrene (10.8 %), p-cymene (9.8 %) and thymol (6.8 %) were the predominant compounds, while the main components of the oil of T vulgaris leaves were thymol (43.8 %), p-cymene (15.2 %) germacrene-D (11.7 %), terpinolene (3.4 %), carvacrol (3.2 %), β-caryophyllene (2.8 %) and a-thujene (2.2 %). In the plant oils, the hydrocarbon monoterpenes compounds predominated over sesquiterpenes. Antioxidant activity was tested according to the DPPH radical scavenging method with measurement of sample concentration providing 50 % inhibition (IC50). Antibacterial activity was determined by measurement of the minimum inhibitory concentration (MIC) using the broth dilution method. The essential oils of T caucasicus, T kotschyanus and T vulgaris Showed free radical scavenging and antibacterial activity.
Design of Dynamic Incentive Contract of Sales Personnel Based on Multitask Objectives*

Based on the multi-task principal-agent model proposed by Holmstrom, the article divides the sales staff's work into two dimensions: pursuit of current performance and improvement of corporate reputation. The single-cycle static contract and multi-cycle dynamic contract were constructed respectively, and the changes of sales staff's work input and enterprise income under the two types of incentive contracts were compared and numerical analysis was carried out. The results show that when the company signs a dynamic incentive contract with the sales staff, the sales staff will make greater efforts for the long-term reputation of the company. The better the corporate reputation, the greater the efforts of sales people to increase their reputation. The greater the sales staff's efforts to contribute to the output in the current period, the more the sales staff and the company pay attention to the short-term benefits. The dynamic incentive contract for businesses and salespeople is Pareto improvement. Keywords—multitask objectives; dynamic incentive; salesperson
Highly aligned SnO2 nanorods on graphene sheets for gas sensors

Highly aligned SnO2 nanorods on graphene 3-D array structures were synthesized by a straightforward nanocrystal-seeds-directing hydrothermal method. The diameter and density of the nanorods grown on the graphene can be easily tuned as required by varying the seeding concentration and temperature. The array structures were used as gas sensors and exhibit improved sensing performances to a series of gases in comparison to that of SnO2 nanorod flowers. For nanorod arrays of optimal diameter and distribution, these structures were proved to exert an enhanced sensitivity to reductive gases (especially H2S), which was twice as high as that obtained using SnO2 nanorod flowers. The improved sensing properties are attributed to the synergism of the large surface area of SnO2 nanorod arrays and the superior electronic characteristics of graphene.
Effect of progressive muscle relaxation (PMR) on mental health, sleep quality and quality of life in patients who underwent thyroid cancer surgery

Objective: To analyze the effect of Progressive Muscle Relaxation (PMR) on patients with thyroid cancer undergoing surgery. Methods: A total of 79 patients with thyroid cancer who underwent surgery were enrolled. There were 39 patients who received conventional nursing that were regarded as the control group (CG), and 40 patients who were provided with PMR and conventional nursing were included in the observation group (OG). Emotional health, sleep quality, and quality of life between the two groups were compared. Results: (1) The systolic blood pressure, diastolic blood pressure, and heart rate after surgery in the OG were lower than those in the CG (P < 0.05). (2) The SDS and SAS scores in the OG were lower than those in the CG after the surgery (P < 0.05). (3) PSQI scores in the OG at discharge and 1, 2, and 3 months after discharge were lower than those in the CG (P < 0.05). (4) Quality of Life, including PH, PS, EN, and SR scores were higher than those in the CG (P < 0.05). (5) The nursing satisfaction of patients in the OG and CG was 95.00% and 79.49%, respectively. Conclusion: PMR can help reduce adverse emotions and improve the sleep quality and quality of life in the treatment of patients with thyroid cancer undergoing surgery.
EFFECTS OF COLORANT BEVERAGES ON SURFACE ROUGHNESS AND DISCOLORATION OF NANOHYBRIT AND GINGIVA-COLORED COMPOSITE

Background and Aim: The aim of this study was to investigate changes in color and surface roughness on gingivacolored and nanohybrid composite resins after immersion in various beverages. Materials and Methods: A gingiva-colored composite, Amaris Gingiva (VAM), and a nanohybrid composite, 3M Filtek Z550 (Z550), were used in this study. A total of 80 specimens, 6 mm in diameter and 2 mm in thickness, were prepared as 40 pieces from each composite resin material. After the polishing processes, the specimens were divided into four subgroups (n=10): distilled water, Coca-Cola, Red Bull, and Nescafe Xpress Black Roast. After initial color and roughness measurements, all specimens were placed into the beverages for 30 days, and the measurements were repeated. Statistical analysis of the data was performed (p<0.05). Results: The color changes of all composite specimens immersed in all beverages (with the exception of distilled water) were found to be above the clinically acceptable threshold level (ΔEab>3.3). The most color change occurred in specimens immersed in Nescafe, both in the Z550 and VAM composites (p<0.05). Coca-Cola and Nescafe made more color changes in the Z550 composite compared to VAM. All beverages increased the surface roughness of both composites (p<0.05). The highest ΔRa value was detected in the specimens immersed in Coca-Cola for both composites. Conclusions: Gingiva-colored composite and nanohybrid composite resins were susceptible to color change, and this color change was above the clinically acceptable threshold level for all beverages, except for distilled water. Immersion of both composite specimens in Coca-Cola increased the surface roughness.
Análise da Eficiência Energética de Estratégias de Transmissão para uma Rede Com Retransmissor Multidirecional

Resumo— Uma rede com retransmissor multidirecional é usada em uma rede de sensores sem fio para que os nós possam trocar suas informações entre si de forma mais eficiente. Neste trabalho, analisamos a eficiência energética de três estratégias de transmissão. Estas estratégias diferem entre si na forma como os nós transmitem: numa é em pares; noutra todos transmitem juntos; e na terceira a metade transmite simultaneamente. A análise revela que a estratégia na qual todos os nós transmitem juntos tem a melhor eficiência energética quando a taxa efetiva máxima é considerada. Ao relaxar essa condição, as demais se mostram mais eficientes.
Microeconomic analysis of cartel equilibrium optimization model

Cartel as a market structure represents a specific form of oligopoly where an agreement is made between legally independent economic subjects in order to restrict the mechanism of economic competition. Existence of the cartels is in sharp contrast with generally accepted principles and practices of economic competition protection. In developed economies of the EU and the world the governmental institutions are established to control and guarantee the conditions of competition. In this paper we will present the mathematical formalization of the model of equilibrium price and supply of the cartel agreement participants and point out the social inefficiency of such decision-making scheme. In more detail we will discuss the analysis of the price cartel considering various costs of the producers. We will study the properties of the cartel profit optimization problem considering various marginal costs of homogeneous production of the cartel participants and point out the interpretation possibilities of solving this optimization problem. We will also point out some interesting economically interpretable implications of the Kuhn-Tucker optimality conditions in optimal decision-making of the cartel subjects in the context of its behavior on the market of imperfect competition.ext goes here.