Miracle-dz/UniFAR-FTUs huggingface dataset:
Determining the

We study hedonic coalition formation games in which cooperation among the players is restricted by a graph structure: a subset of players can form a coalition if and only if they are connected in the given graph. We investigate the complexity of ﬁnding stable outcomes in such games, for several notions of stability. In particular, we provide an eﬃcient algorithm that ﬁnds an individually stable partition for an arbitrary hedonic game on an acyclic graph. We also introduce a new stability concept—in-neighbor stability—which is tailored for our setting. We show that the problem of ﬁnding an in-neighbor stable outcome admits a polynomial-time algorithm if the underlying graph is a path, but is NP-hard for arbitrary trees even for additively separable hedonic games; for symmetric additively separable games we obtain a PLS-hardness result.
1 Entity Data Management in OKKAM

In the recent years, we are witnessing an increasing interest in the Semantic Web and the relevant technologies, which can have a significant impact in the enterprise environment of information and knowledge management. An important observation is that the entity identification problem lies at the core of many semantic web applications. In this paper, we examine the special requirements of storage and management for entities, in the context of an entity management system for the semantic web. We study the requirements with respect to creating and modifying these entities, as well as to managing their evolution over time. Finally, we propose a conceptual model for the representation of entities, and discuss related research
Extraction of Message Sequence Charts from Narrative History Text

In this paper, we advocate the use of Message Sequence Chart (MSC) as a knowledge representation to capture and visualize multi-actor interactions and their temporal ordering. We propose algorithms to automatically extract an MSC from a history narrative. For a given narrative, we first identify verbs which indicate interactions and then use dependency parsing and Semantic Role Labelling based approaches to identify senders (initiating actors) and receivers (other actors involved) for these interaction verbs. As a final step in MSC extraction, we employ a state-of-the art algorithm to temporally re-order these interactions. Our evaluation on multiple publicly available narratives shows improvements over four baselines.
Grape Seed Proanthocyanidin Extract Alleviates Cold Stress-Induced Hyperlipidemia and Lipid Peroxidation in the Aging Rat Heart

Hyperlipidemia under cold stress can increase the risk of atherosclerosis and oxidative stress in the heart. Objectives: We investigated two models of cold stress on serum corticosterone (CORT), plasma total cholesterol (TC), low density lipoprotein (LDL), very low density lipoprotein (VLDL), triglycerides (TG), high density lipoprotein (HDL), and total antioxidant capacity (TAC), along with blood glucose (BG) and blood lactate (BLa) in male Wistar rats aged 3 (adult), 12 (late-adult), and 24 (old) months. Methods: Rats were grouped into: control (CON) at 25±2C, supplemented control (CON+PA), chronic cold exposure (CCS) that lasted 60 minutes daily at 10C for 14 days, acute cold exposure (ACS) with single bout of cold stress at 10C and animals supplemented with grape seed proanthocyanidin extract (GSPE) and exposed to CCS (CCS+PA) and ACS (ACS+PA). Results: CORT, BG, and BLa levels increased for all age groups exposed to either form of cold stress, with the highest increases found in the ACS group. Further, increases in TC, LDL, VLDL, and TG and plasma atherogenic index accompanied decreases in TAC. These changes were greatest under ACS than CCS. Also, old showed more stress to cold exposure than adults or late-adults. Conclusions: Age was significantly correlated with serum corticosterone and cardiac malondialdehyde, BG, and BLa. GSPE alleviate cold stress-induced hyperlipidemia, implying its antioxidant property, which may reduce the possible risk of atherosclerosis, especially in old rats.
Slow capital , fast prices : Funding liquidity shocks and stock price reactions

Does the capital of a liquidity supplier matter for asset prices? While the Efficient Market Hypothesis answers this question with a clear No, more recent theories suggest that funding liquidity affects market liquidity and asset prices. I use an historical experiment to provide an empirical test of this hypothesis. During the interwar period, the Berlin Stock Exchange was dominated by a few big liquidity suppliers, the Berlin big banks. Each of the banks provided liquidity to a different set of stocks. Using information from the underwriting activity of the big universal banks I construct these bank-firm connections and identify an exogenous balance sheet shock to one of the banks, the Danatbank. Using daily stock market data I show that market liquidity decreases for the stocks this bank normally provided liquidity for. I show that the returns to liquidity provision in this period increase and provide anecdotal evidence that asymmetric information was the major friction that prohibited outside capital to step in immediately. The theoretical part of the paper then explains how asymmetric information can lead to slow moving capital. In a dynamic setting, uninformed traders are uncertain about the origin of the supply shock. This leads to a downward bias in the estimate of the fundamental asset value. Over time, uninformed traders are able to learn whether the decreased demand by the informed traders was due to fundamental news or a shock to uninformed investors balance sheet. As a result, return reversals occur.
HYDROTHERMAL LOW-CYCLE FATIGUE OF CONCRETE-DURABILITY OF ENERGY STORAGE WATER TANKS -

In this paper, experimental investigations were carried out on the behaviour of high performance concrete intended for hot water concrete tanks to store water at a temperature above 100°C. The tested concrete has been subjected to heating-cooling cycles from ambient conditions to a temperature of 200°C and a pressure of 15 bars. The autoclave technique was used to load the concrete specimens with repeated cycles of high pressure and temperature with heating/cooling rates of about 1/0,5 K/min respectively. In mix design, the packing density concept of the aggregates and fines according to the modified Fuller curve have been applied. Normal and fine fly ash and silica fume have been used. The water/cement ratio was regulated in order not to produce capillary pores. CEM III/B was used and the total mass of the cementitious material was 312 kg/m. Experimental studies involving the measurements of strength, porosity, and permeability will be presented. The results indicated that the incorporation of mineral admixtures can effectively improve the packing density which results in reducing the total porosity of HPC to less than 6%. The air permeability is noticeably reduced and the compressive strength increased from 70 to about 100 MPa during the autoclave cycles.
BIOCHEMICAL AND PHYSIOLOGICAL RESPONSES OF LYCORIS SPRENGERI BULBLETS ( AMARYLLIDACEAE ) TO EXOGENOUSLY APPLIED N-( 2-CHLORO-4-PYRIDYL )-N 1-PHENYLUREA ( CPPU )

Bulblets of Lycoris sprengeri (Amaryllidaceae) were obtained by cutting. Sixconcentrations of N-(2-chloro-4-pyridyl)N1-phenylurea (CPPU) solutions were sprayed on leaves from one-year-old bulblets during their green period. Fresh weight, diameter,carbohydrate content, activity of starch metabolism-related enzymes and levels of endogenous hormones of bulblets were determined. The effects of CPPU treatment on bulblet development and biochemical and physiological indices of L. sprengeri were analyzed using the determined values. The results showed that CPPU treatment at an appropriate concentration promoted the enlargement of L. sprengeri bulblets; the optimal concentration was 7.5 mg L. Bulblet growth showed a significant positive correlation with starch content and the activities of soluble starch synthase (SSS) and starchbound starch synthase (GBSS). Bulblet growth showed anextremely significant positive correlation with the ratio of endogenous gibberellic acid/abscisic acid (GA/ABA). The GA/ABA ratio showed a significant positive correlation with the activities of (α+β)-amylase and GBSS. The exogenous application of CPPU promoted the synthesis and accumulation of starch in the bulblets of L. sprengeri and the activities of starch metabolism-related enzymes; an increase in the endogenous GA/ABA ratio had a synergistic effect.
The Expression of Cancer-Related Genes in Aging Mouse Liver is RXRα and Gender Dependent.

Background Previous reports have demonstrated that gene expression profiles are modified in several tissue types including liver during the aging process and that such alterations might impact on the development and advancement of certain diseases. To understand the affect of aging on liver cancer, we have studied the expression pattern of cancer-related genes in aging mouse livers. Retinoid x receptor α (RXRα) is a transcription factor that is highly expressed in the liver. RXRα-regulated pathways are implicated in liver detoxification and carcinogenesis. In addition, liver cancer incidence is higher in males than in females. Thus, we have also studied the effects of hepatic RXRα and gender on regulating those cancer-related genes in aging mouse livers. Results Hepatic cancer-related gene expression patterns were compared between old (24-month-old) and young mature (6-month-old) wild type as well as hepatocyte RXRα-deficient C57BL/6J mice in both genders. cDNA microarray was performed and quantitative reverse transcription-polymerase chain reaction assays were employed to validate part of our results. In aged male mouse liver, genes associated with apoptosis, metastasis, cell cycle transition, and DNA repair showed changes in expression levels. In female aged mouse liver, the most notable variations were found in genes that are related to the immune system. In addition, the expression pattern is RXRα dependent. Conclusions Our results suggested that specific sets of genes, which are regulated by gender and RXRα, might contribute to the increase in liver cancer incidence observed with age.
Stimulus Regulation in Pediatric Trichotillomania

Previous research on pediatric trichotillomania (TTM) has focused on the difference between two different subgroups of hair-pullers: “focused” pullers (i.e. those who pull within their awareness) and “automatic” pullers (i.e. those who pull outside of their awareness; Christenson et al., 1992; Flessner et al., 2008; Penzel, 2003). To date, only one other study has examined how sensory processing may differ between these two groups, or how these differences may impact these groups’ hair-pulling triggers (Falkenstein et al., 2018). Thus, the aim of the current study was to analyze how sensory processing patterns may differ between predominantly focused pullers and predominantly automatic pullers ages 7–17. The current study also examined how differences in sensory processing relate to hair-pulling triggers. I utilized a parent-report survey, which included (a) demographic questions, (b) a modified version of the Milwaukee Inventory for Subtypes of Trichotillomania-Child version (MIST-C), (c) Christenson and colleagues’ Cues Checklist (CCL; Christenson et al., 1992), and (d) a sensory processing scale. I then used parents’ ratings on the MIST-C to categorize their children into four different subgroups, based on their pulling styles: high focused/high automatic pullers (HFHA), high focused/low automatic pullers (HFLA), low focused/high automatic pullers (LFHA), and low focused/low automatic pullers (LFLA). The results did not support my original hypotheses that the main sensory processing and hair-pulling trigger differences would be between HFLA (i.e. predominantly focused pullers) and LFHA pullers (i.e. predominantly automatic pullers). However, the results did reveal differences in sensory processing between LFHA and LFLA pullers and differences in hair pulling triggers between HFLA and LFLA pullers. I discuss how these findings may reveal a need for an augmented version of Habit Reversal Therapy (HRT) that includes sensory regulation skills. I also discuss the limitations of the current study, which include (a) the small sample size, (b) the parent-report format, (c) the unvalidated nature of many of the measures, (d) comorbidity, and (e) the recruitment strategies.
Teaching Problem Solving in Engineering using Analysis and Simulation

Mr. Keith Fisher, P.E. : Mr. Fisher has been teaching Mechanical Engineering Technology and Mechanical Engineering courses and related labs for Montana State University for the past 5 years. Prior to entering the teaching profession, Mr. Fisher obtained over 20 years of industrial mechanical engineering experience. He has developed four new courses, including MET 303 Computer Aided Engineering for Mechanical Design, in the last four years, and was selected by the students as the outstanding Mechanical Engineering Technology teacher at MSU for the past two years.
Nowcasting solar irradiance using an analog method and geostationary satellite images

Accurate forecasting of Global Horizontal Irradiance (GHI) is essential for the integration of the solar resource in an electrical grid. We present a novel data-driven method aimed at delivering up to 6 h hourly probabilistic forecasts of GHI on top of a localized solar energy source. The method does not require calibration to adapt to regional differences in cloud dynamics, and uses only one type of data, covering Europe and Africa. It is thus suited for applications that require a GHI forecast for solar energy sources at different locations with few ground measurements. Cloud dynamics are emulated using an analog method based on 5 years of hourly images of geostationary satellite-derived irradiance, without using any numerical prediction model. This database contains both the images to be compared to the current atmospheric observation and their successors at one or more hours of interval. The physics of the system is emulated statistically, and no numerical prediction model is used. The method is tested on one year of data and five locations in Europe with different climatic conditions. It is compared to persistence (keeping the last observation frozen), ensemble persistence (generating a probabilistic forecast using the last observations) and an adaptive first order vector autoregressive model. As an application, the model is downscaled using ground measurements. In both cases, the analog method outperforms the classical statistical approaches. Results demonstrate the skill of the method in emulating cloud dynamics, and its potential to be coupled with a forecasting algorithm using ground measurements for operational applications.
Concomitant administration of atorvastatin with N-acetylcysteine mitigates liver injury and steatosis in experimental non-alcoholic fatty liver disease

Although numerous efforts have been directed towards searching for new treatments against non-alcoholic fatty liver disease (NAFLD), there are no approved pharmacologic agents up to date. This study evaluates the therapeutic effect of concomitant administration of atorvastatin (ATO) and N-Acetylcysteine (NAC) with/without diet control. Nine groups of rats were divided into; normal, rats fed on high-fat diet for 12 weeks (NAFLD-HFD model), HFD-rats switched to regular diet (NAFLD-RD model), NAFLD-HFD or -RD rats treated with either ATO or NAC orally with 30 or 500 mg/kg/day respectively or both for 8 weeks. NAFLD-HFD rats exhibited remarkable steatosis with lobular inflammation, hepatocytes vacuolation and fibrosis, as well as significant changes in lipid profile, oxidative stress and adipocytokines and these manifestations were less prominent in the HFD-RD group. ATO and NAC combination with diet control has the added benefits on ameliorating lipid levels, liver enzymes, oxidative stress, hepatic steatosis (9.01% ± 1.66% vs 13.21% ± 2.20% for ATO and 25.60% ± 2.11% for NAC), inflammation, hepatocyte vacuolation and fibrosis versus each drug separately. Conclusion; ATO and NAC concomitant therapy has a greater effect on NAFLD as compared to monotherapy and is recommended for further investigation in clinical trials.
Anticipatory Anxiety and Wishful Thinking

It is widely hypothesized that anxiety and worry about an uncertain future lead to the adoption of comforting beliefs or "wishful thinking". However, there is little direct causal evidence for this effect. In our experiment, participants perform a visual pattern recognition task where some patterns may result in the delivery of an electric shock, a proven way of inducing anxiety. Participants engage in significant wishful thinking, as they are less likely to correctly identify patterns that they know may lead to a shock. Greater ambiguity of the pattern facilitates wishful thinking. Raising incentives for accuracy does not significantly decrease it.
How-To Compare Performance of Data Plane Devices

Over the past years network technologies have grown and evolved fast. The requirements on network devices have become more complex and diverse. In order to measure and compare the performance of data plane devices, benchmarks are used. This paper describes a taxonomy of benchmark methodologies as well as the requirements and test setups to assess them. It is surveyed which of these benchmarks are used by test equipment vendors. Based on this survey, the methodologies are discussed in usefulness and feasibility of their measurements.
phYsicaL activitY and oBesitY : comparison BetWeen different approaches

The present study aims to investigate the level of physical activity in people living in Brno and the surrounding areas, particularly those who are obese. The purpose of this study is to find out whether questionnaires or objective pedometer data are reliable for monitoring activity levels. A total of 508 individuals (380 females and 128 males) were enrolled in the study. The study volunteers ranged in age from 16 to 73 years (45±12 years) and had a mean body mass index (BMI) 33±8 kg/m2. We found a significant negative relationship between the number of steps per day and the percentage of body fat, waist circumference, hip circumference, waist to hip ratio, body mass index and waist to height ratio. Individuals classified as having normal body weight performed significantly more steps per day than those classified as obese. Only a little data obtained from the questionnaire correlated significantly with anthropometric measures and when applied to the analysis based on BMI categories, the differences between categories were not significant. Results suggest that a pedometer-determined walking activity is the proper method for the evaluation of physical activity levels. This data can lead to recommendations for a minimum amount of steps per day associated with optimal body composition. Data obtained from the questionnaire was not found to be relevant for activity level evaluation and recommendations.
The Implications of Different DRAM Protection Techniques on Datacenter TCO

This paper proposes a framework for modeling the implications of DRAM failures and DRAM error protection techniques on the Total Cost of Ownership (TCO) of a data center. The framework captures the effects and interactions of several key parameters including among other: the choice of DRAM protection technique (e.g. single vs dual channel chipkill), DRAM capacity, device width (x4 or x8), power, FITs for various failures modes, the performance overhead of a protection technique for a given service and mix of co-located services. The usefulness of the proposed framework is demonstrated through several studies that identify the best, in terms of TCO, DRAM protection technique in each case. Interestingly, our analysis reveals that among the three DRAM protection techniques considered there is no one that is always superior to all others. Moreover, each technique is better than the others for some cases. This underlines the importance and the need for the proposed framework to avoid making suboptimal memory protection data center design decisions. Keywordsmemory; DRAM; reliability; transient errors; permanent errors; total cost of ownership; datacenter; online services; offline services; availability; co-running services; peak throughput; performance.
Uniform Random Sampling Product Configurations of Feature Models That Have Numerical Features

Analyses of Software Product Lines (SPLs) rely on automated solvers to navigate complex dependencies among features and find legal configurations. Often these analyses do not support numerical features with constraints because propositional formulas use only Boolean variables. Some automated solvers can represent numerical features natively, but are limited in their ability to count and Uniform Random Sample (URS) configurations, which are key operations to derive unbiased statistics on configuration spaces. Bit-blasting is a technique to encode numerical constraints as propositional formulas. We use bit-blasting to encode Boolean and numerical constraints so that we can exploit existing #SAT solvers to count and URS configurations. Compared to state-of-art Satisfiability Modulo Theory and Constraint Programming solvers, our approach has two advantages: 1) faster and more scalable configuration counting and 2) reliable URS of SPL configurations. We also show that our work can be used to extend prior SAT-based SPL analyses to support numerical features and constraints.
Temporal Dynamics of Continuous Facial Emotion Recognition System

We are now in new era of technology where even human cannot understand the emotion of another human. In such cases computers can be used to detect human emotions. But this too has a limitation as sometimes it's difficult for the algorithm to detect real emotions from the fake ones[2]. Growing need for emotion recognition in today's fast growing technological world, this field needs research contribution. This paper proposed a system we propose a system to make existing emotion recognition more efficient. High resolution and higher megapixel cameras are used to collect emotion related data from real world. To minimize the storage requirement of such large data efficient methodology is proposed[1].
Efficiency of investments in solar power in the EU countries

The aim of the study is to assess efficiency of investments in solar power in the EU countries in 2015. The Data Envelopment Analysis (DEA) method is implemented to evaluate relative efficiency of their solar power performance for electricity generation. The installed solar capacity is used as the input variable. Four variables: solar electricity generation (the baseline model), the environmental output, the economic output and the energy dependence output are used to measure efficiency of investments in solar power. The study reveals that three countries: Germany, Spain and Ireland are efficient when the relation between the investments in solar power and the volume of energy generated by solar farms is considered. However, when additional aspects of solar power efficiency are included different countries benefit. Inclusion of the environmental output reveals that efficiency increases the most in Poland, Malta, Bulgaria, Cyprus and the Czech Republic, where coal is the main energy source. Taking into account the economic aspect, i.e. the costs of generating energy from non-renewable energy sources, an increase in the efficiency scores is noted in countries in which oil (Malta and Cyprus), or natural gas (Lithuania, Belgium, Luxembourg) are used as the main energy