Miracle-dz/UniFAR-FTUs huggingface dataset:
Examining the Price-Earnings Relation in a Real Options Framework with Investor Learning

This study examines how the price-earnings relation varies with the uncertainty about and the quality of a firm's investments. We use a real options valuation framework to capture optimal investment and abandonment options in the biotechnology industry. Based on a simulation analysis, we predict that the price-earnings relation is V-shaped, and changes over the life cycle of a firm. Also, as investors learn about the quality of the firm over time, they will value accounting losses and profits more in higher quality firms. Our empirical findings are based on a sample of 333 biotechnology firms with an IPO between 1980 and 2000, and are generally consistent with our predictions. We contribute in several ways to the existing price-earnings literature. First, we provide a theoretical explanation for the significant negative price-earnings relation for loss firms. Second, we show how the price-earnings relation changes over time as investors learn about the quality of the firm. Third, we provide a real options valuation model that is better suited for valuing growth firms than the more traditional DCF based models (including the Ohlson model). We show how nonfinancial information affects the valuation of earnings.
Strong Electron Correlations Determine the Stability and Properties of Er-doped Silicon Quantum Dots

Pavel V. Avramova,b, Alexander A. Kuzubova,b,c, Alexander S. Fedorova, Maria V. Serzhantovab,d and Vera R. Kuzikb* a L.V. Kirensky Institute of Physics SB RAS, Akademgorodok, Krasnoyarsk, 660036 Russia b Siberian Federal University, 79 Svobodny, Krasnoyarsk, 660041 Russia c Siberian State Technological University, 82 Mira, Krasnoyarsk, 660049 Russia d Siberian State Aerospace University, 31 Krasnoyarsky Rabochy, 660014 Russia 1
POOR GOVERNMENT AND WORK ORGANISATION IN THE REAL ALBERGO DEI POVERI OF PALERMO : A BIO-POLITICAL EXPERIMENT IN BOURBON-SICILY ( EIGHTEENTH – NINETEENTH CENTURIES )

The paper aims to improve understanding of the role played by accounting in its function of government practice, considering the interfacing function of the Real Albergo dei Poveri of Palermo charity. Michel Foucault’s governmentality framework is adopted in order to explore the labour organisation within the Real Albergo dei Poveri of Palermo, where a silk manufacturer, the Real Opificio delle Sete (Royal Silk factory), was established in 1790 to exploit the workforce hosted in the institution. The paper analyses the accounting system established to manage the commodified and forced labour of poor female inmates in relation to a central issue—the social control promoted by central government. The idea is to demonstrate that work was the means to carry on the social control of people considered alien and not integrated by the society of the time, while the accounting system was the tool. The study uses documents from Palermo’s State Archive about the foundation and internal organisation of the Real Opificio delle Sete and account books from the institution and silk manufacturer to verify the role of labour and its measurement, highlighting accounting based on the checking and reporting system. Furthermore, the paper, by means of the accounting system, examines the organisation of work and internal management, and the allocation of wealth in the form of healthcare, social security and housing.
INHIBITION OF ANGIOGENESIS BY TARGETING DIFFERENT CELLS: A REVIEW

Angiogenesis indicates process of growth of blood vessels and an imbalance leads to melignancy, infections, ischaemia etc. In angiogenesis, the vascular network expands by sprouting and remodels to several organized system of large vessels and smaller ones. Vascular and lymphatic EC sprouting can be regulated by VEGF and PIGF (a homologue of VEGF). Nowadays angiogenesis can be inhibited by targeting different cells like mural, stromal, endothelial and haematopoetic cells. Some anti� angiogenic agents like VEGF antibody "AVASTIN" and RTKIs Which targets the VEGFR like receptors and arrests EC proliferation and prevents vessel growth. Sometimes combination of VEGF inhibitors with other inhibitors of distinct targets can increase the efficacy. When the mural cell and stromal cells are targeted, local release of VEGF and angiopoetin 1 occurs, and that may leads to tumor growth when PDGF signaling is over expressed. Therefore PDGFRβ signaling is inhibited and tumor vessels are dilated and EC apoptosis increased. These PDGFRβ inhibitors also destabilize SMCs which supply bulk flow to tumors making them susceptible to EC inhibitors. On the other hand PDGFBB antagonists lower the intes tinal fluid pressure & improve drug delivery through the tumor vasculature. In the recent future, the treatment of cancer will involve the use of cytotoxic radiation to destroy the malignant cells. Tumor cell angiogenesis may also be inhibited directly by targeting cells and it may lead to vessel decompression resulting in increased perfusion & drug delivery.
Seed Varieties And Quantities Of Chemical Fertilizers Used In Agricultural Production In Northern Nigeria

Two separate researches were conducted in northern Nigeria. The first study (1996/97) covered Kano, Jigawa and Katsina States and the second (2002/03) covered Kano and Katsina States. These States have high agricultural production potentials and are significant in both biophysical characteristics and population density for the larger part of northern Nigeria. These two researches compared the seed types and quantities of chemical fertilizers used in the two separate agricultural seasons. The results showed that traditional crop varieties for sorghum (such as Farafara, Kaura and Mori), millet (such as Zango and Dan Akaranja) and cowpea (such as Dan wuri and Dan Illa) dominated the cropping system compared to improved varieties for these crops such as Yarshawa, Gaya early and Samsorg 15 for sorghum, Ex-Bornu and Lawur for millet and Kananado and ITA 60 for cowpea. However, for groundnut, improved varieties such as RMP 12, RRB, Ex-Dakar and Yarkabara were more prevalent than local ones such as Yar Tsugune and Jar Jigilla. The average rates of application of chemical fertilizer were 74.28 kg nutrient ha 1 in 1996/97 and 54.37 kg nutrient ha-1 for 2002/03. These application rates fell short of the recommended rates for some staples such as 220 -240 kg nutrient of N P K ha-1 for open-pollinated maize, 300 kg nutrient of N P K ha-1 for hybrid maize, 200 – 300 kg nutrient ha-1 for sorghum, 100 – 200 kg nutrient ha-1 for millet and 200 – 350 kg nutrient ha-1 for rice. The recommendations made included the need for more emphasis on the development of improved crop varieties that are adaptable to existing ecological and economic conditions; encouraging public and private sector partnerships in seed production and distribution, and the adoption of integrated soil fertility management approaches. Keywords : Seed variety, Fertilizer rates, Northern Nigeria. Global Journal of Agricultural Sciences Vol. 7 (1) 2008: pp. 71-83
Misdiagnosis of pneumonia, bronchiolitis and reactive airway disease inchildren: A retrospective case review series in South East, Nigeria.

Background: Pneumonia is a major cause of morbidity and mortality in children especially in sub Saharan Africa and Asia. Recent studies suggest that pneumonia may be overdiagnosed at the expense of other acute respiratory conditions with similar features such as asthma and other wheezy conditions, and bronchiolitis. This study examined the prevalence and diagnostic concordance of hospital diagnoses made with an established Case Definition Criteria (CDC) for these three common respiratory disorders in the south east region of Nigeria Materials and Methods: Hospital admission records of all children aged between 2 and 59 months who presented with, catarrh, respiratory distress, cough and fever between January and December 2015 in the children emergency room of three hospitals in South East Nigeria were reviewed. Results: A total of 186 case records met the inclusion criteria and were analyzed. Bronchopneumonia accounted for 41.9%, of the cases admitted; while reactive airway disease and bronchiolitis accounted for 16.1% and 9.1% respectively based on the hospital diagnoses, and 33.3%, 23.1% and 5.9% respectively using the case definition criteria. The positive and negative predictive values for diagnosing bronchopneumonia (BP) were 72% and of 94% respectively. For reactive airway disease (RAD), the values were 57% and 83% respectively while that for bronchiolitis (BL) were 53% and 99% respectively. Conclusion: There is need for a review of the criteria for diagnosis of these respiratory conditions in children that are similar to forestall the danger of misdiagnosis and inappropriate treatment of children with these conditions.
Honey hydrogel dressing to treat burn wound in rats - a preliminary report

Various studies have shown that honey is effective in healing burns and wounds. In this study, Malaysian honey was incorporated into hydrogel dressing formulation using electron beam irradiation technique and introduced as Honey Hydrogel dressing. The wound healing efficacy of Honey Hydrogel dressing on deep partial thickness burns was monitored on the basis of gross appearances, rate of wound contraction and histopathological changes. Deep partial thickness burns were created by applying an aluminium template preheated to 85°C to the backs of rats for 5 s and randomly treated with Honey Hydrogel or hydrogel while control group received no treatment. Wound appearance was photographed and the rate of wound contraction was calculated at 7, 14, and 21 days post burn. Rats were euthanized after 21 days of treatment and skin samples were taken for histopathological examination. The wounds treated with Honey Hydrogel dressing showed better gross appearances and significantly (p<0.05) enhanced the rate of wound contraction as compared to the control group at 21 days post burn. Faster epithelialization was also seen in the Honey Hydrogel treated group as compared to the other groups, although this was not statistically significant. The results substantiate the potential efficacy of Honey Hydrogel in accelerating burn wound healing.
Asymptotics for the Conditional‐Sum‐of‐Squares Estimator in Multivariate Fractional Time‐Series Models

This article proves consistency and asymptotic normality for the conditional‐sum‐of‐squares estimator, which is equivalent to the conditional maximum likelihood estimator, in multivariate fractional time‐series models. The model is parametric and quite general and, in particular, encompasses the multivariate non‐cointegrated fractional autoregressive integrated moving average (ARIMA) model. The novelty of the consistency result, in particular, is that it applies to a multivariate model and to an arbitrarily large set of admissible parameter values, for which the objective function does not converge uniformly in probability, thus making the proof much more challenging than usual. The neighbourhood around the critical point where uniform convergence fails is handled using a truncation argument.
Can Global Liquidity Forecast Asset Prices?

During the period leading up to the global financial crisis many asset classes registered rapid price increases. This coincided with a significant rise in global liquidity. This paper attempts to determine the extent to which the rise in asset prices was influenced by developments in global liquidity. We confirm that global liquidity had a significant impact on the buildup in house prices; however, the impact on equity prices was limited. In contrast to common perception, we find that the impact of global liquidity declined during the period of the Great Moderation. The paper also examines spillovers from global liquidity to domestic variables and concludes that domestic factors generally played a more significant role in house price appreciation relative to global factors. This contradicts the hypothesis of weakened potency of domestic monetary policy in the presence of increased international liquidity.
How carbon nanotubes affect the cure kinetics and glass transition temperature of their epoxy composites? – A review

Motivated by the widespread and contradictory results regarding the glass transition temperature of carbon nan- otube (CNT)/epoxy composites, we reviewed and analyzed the literature results dealing with the effect of unmodified mul- tiwall carbon nanotubes (MWNT) on the cure behaviour of an epoxy resin (as a possible source of this discrepancy). The aim of this work was to clarify the effective role of unmodified multiwall carbon nanotubes on the cure kinetics and glass transition temperature (Tg) of their epoxy composites. It was found that various authors reported an acceleration effect of CNT. The cure reaction was promoted in its early stage which may be due to the catalyst particles present in the CNT raw material. While SWNT may lead to a decrease of Tg due to their bundling tendency, results reported for MWNT suggested an increased or unchanged Tg of the composites. The present status of the literature does not allow to isolate the effect of MWNT on the Tg due to the lack of a study providing essential information such as CNT purity, glass transition tempera- ture along with the corresponding cure degree.
A survey of Vibrios associated with healthy and Yellow Band diseased Montastraea faveolata

Bacteria of the genus Vibrio have been implicated in coral bleaching as well as diseases, including Caribbean Yellow Band Disease (CYBD). Four Vibrio species have been previously identified as causative agents of CYBD through a series of infection and re-isolation experiments. The mechanisms of pathogenesis and the dynamics of the Vibrio community as a whole during CYBD infection are poorly understood. In order to elucidate the role of Vibrios in CYBD, a survey of Vibrio species associated with healthy corals and CYBD- infected corals was conducted using a culture-based approach. Fragments were collected from CYBD lesions of five Montastraea faveolata colonies, five healthy regions of the same diseased colonies, and five entirely healthy colonies. Samples were serially diluted and plated onto TCBS agar to differentially select for Vibrio species. Colonies were subcultured using GASWA media and a total of 391 isolates were identified by 16S rDNA sequence analysis. Phylogenetic analysis of Vibrio spp. communities of healthy and diseased corals illu- strated a shift from isolates taxonomically affiliated with V. fortis dominating in healthy corals to isolates tax- onomically affiliated with V. harveyi, a known marine pathogen, dominating in diseased corals. There was a similar shift to isolates taxonomically similar to Photobacterium eurosenbergii as corals progressed to diseased states. However, our study did not find any Vibrio species that are always present in CYBD lesions and absent from healthy samples.
Blotch Detection Using a Background Subtraction Method in Old Film Sequences

In this paper, a blotch detection method in old film sequences is proposed. The proposed method uses a background image as a reference image for blotch detection to obtain high performance when the appearance probability of blotch is high. The background image is estimated by applying filters selectively which are a double window modified trimmed mean (DW-MTM) filter, a median filter and a mean filter to the sequences in temporal direction at each pixel. This paper derives the correct detection rate and the false alarm rate of the conventional methods and the proposed method to the appearance probability of blotch. Moreover, it is evaluated the performance of these blotch detectors in high appearance probability of blotch from an experiment for blotch detection with an artificial degraded sequence. As a result, it is shown the proposed method is a robust blotch detection method comparing conventional methods for the high appearance probability of blotch and it is confirmed the proposed method can detect a region that blotch appeared at the same spatially location in the consecutive frame. Finally, it is confirmed the proposed method can detect blotches in an old film sequence.
Modelling the retreat of Grosser Aletschgletscher, Switzerland, in a changing climate

Abstract For more than a century Alpine glaciers have been retreating dramatically, and they are expected to shrink even more quickly over the coming decades. This study addresses the future evolution of Grosser Aletschgletscher, Switzerland, the largest glacier in the European Alps. A three-dimensional combined surface mass-balance and glacier dynamics model was applied. The ice flow was described with the full Stokes equations. The glacier surface evolution was obtained by solving a transport equation for the volume of fluid. Daily surface melt and accumulation were calculated on the basis of climate data. The combined model was validated against several types of measurements made throughout the 20th century. For future climate change, scenarios based on regional climate models in the ENSEMBLES project were used. According to the median climatic evolution, Aletschgletscher was expected to lose 90% of its ice volume by the end of 2100. Even when the model was driven using current climate conditions (the past two decades) the glacier tongue experienced a considerable retreat of 6 km, indicating its strong disequilibrium with the present climate. By including a model for the evolution of supraglacial debris and its effect in reducing glacier melt, we show that this factor can significantly slow future glacier retreat.
A Unified Framework for Computationally Efficient Power Converter Design Optimisation

Within the field of power converter design, the use of optimisation techniques is a popular method to ensure that the best possible design is achieved for a given objective, e.g. weight or volume reduction. However, there is currently a lack of efficient unified frameworks for optimising the system level design of converters in terms of the device, heatsink and passive component selection. This paper presents an efficient unified design optimisation framework that can be applied to a wide range of power converter design problems. The main advantage of the proposed framework is that it produces optimal solutions with great computational efficiency. The proposed framework was validated by applying to SiC-based converter design problems, achieving power densities of 8.32 kW/kg for a 50-kW DC-DC converter, and 3.50 kW/L for a 5-kW 3-phase DC-AC converter.
Inactivation of respiratory syncytial virus in aerosol.

Summary Aerosols of respiratory syncytial virus were kept at different relative humidities (RH). Viability was studied by a plaque method. Virus recoveries 1 min. after aerosolization were highest at high RH. The stability of the aerosol was maximal at 60% RH. The total decay after 61 min. varied from 1.1 log. p.f. u. to 2.5 log. p.f. u. , with peak values at 30% RH (2.3 log. p.f.u.) and 80% RH (2.5 log. p.f.u.), suggesting two processes with different kinetics. Oxidation was excluded as a cause of inactivation by experiments in pure nitrogen.
Resin phantoms as skin simulating layers

In order to apply light treatment to skin, the absorption through the outer layers of the skin needs to be considered. Darker skin has a higher concentration of melanin in the epidermis and absorbs more light than fair skin. Ideally the effect of the skin treatment on the outer layers of the skin should be tested on in vitro multi layer skin models. This is not always feasible. For this work, phantoms were used together with skin cancer cells to test the effect of outer layer absorption on the efficiency of Photodynamic Therapy (PDT) treatment. Two resin based solid phantoms were prepared to simulate two different skin types. Cells were prepared and PDT treatment were done on cells with and without the phantoms, by keeping the total dose delivered to the cells constant at 4.5 J/cm 2 . Cell viability for the cells with the phantoms was less than without the phantoms and the differences are attributed to more uniform light distribution, but this needs to be investigated in more detail. The initial results of the experiments indicate that solid resin based phantoms can be used to optically mimic the effect of the outer skin layers.
Objectives of Meeting Movements - Application for Ship in Maneuvering

The paper devotes the formulation of the problem of optimizing the oncoming traffic and gives a description of the concept and control system that implements the navigation of ships in maneuvers. In nautical practice, the ship has been encountered in the special situations, such as: avoiding collision, maintaining the time arriving the pilot station, picking up pilot, berthing as schedules, sailing in confined water area. In order to solve this issue, the authors present their researches about the task of interception optimal time and the normal and degenerate problem; also they give the remarks about globally-optimal control and optimal control. Accordingly, the result is applied for ship control in maneuvering.
Acetyl-L-carnitine attenuates haemotoxicity induced by subacute chlorpyrifos exposure in Wistar rats

The present study was aimed at evaluating the effect of subacute CPF exposure on haematological changes and the ameliorating effect of acetyl-L-carnitine (ALC) in Wistar rats. Twenty-eight adult male Wistar rats divided into 4 groups of 7 animals each were used for the study. Groups I and II were given soya oil (2 mlkg-1) and ALC (300 mgkg-1), respectively. Group III received CPF only (8.5 mgkg-1~1/10th of the LD50) while group IV was pretreated with ALC (300 mgkg-1), and then dosed with CPF (8.5 mgkg-1), 30 min later. The regimens were administered by gavage once daily for 28 days. The study showed that haematological parameters such as total red blood cell, packed cell volume, haemoglobin concentration, mean cell volume, mean corpuscular haemoglobin, mean corpuscular haemoglobin concentration, platelets, absolute total and differential white blood cell count, neutrophil-lymphocyte ratio and erythrocyte osmotic fragility altered by CPF were ameliorated by pretreatment with ALC.
Deep Learning Enabled Fault Diagnosis Using Time-Frequency Image Analysis of Rolling Element Bearings

Traditional feature extraction and selection is a labor-intensive process requiring expert knowledge of the relevant features pertinent to the system. This knowledge is sometimes a luxury and could introduce added uncertainty and bias to the results. To address this problem a deep learning enabled featureless methodology is proposed to automatically learn the features of the data. Time-frequency representations of the raw data are used to generate image representations of the raw signal, which are then fed into a deep convolutional neural network (CNN) architecture for classification and fault diagnosis. This methodology was applied to two public data sets of rolling element bearing vibration signals. Three time-frequency analysis methods (short-time Fourier transform, wavelet transform, and Hilbert-Huang transform) were explored for their representation effectiveness. The proposed CNN architecture achieves better results with less learnable parameters than similar architectures used for fault detection, including cases with experimental noise.