Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of two soybean soapstocks in egg production and quality in Bovans hens

Crude soybean oil (CSO) is used to increase metabolizable energy (ME) content in diets for laying hens. Also used in human food, its price is consequently high. Oil soapstocks are byproducts of the oil extraction process and therefore cost less. An evaluation was done of the effect of two soybean soapstocks (SS) on egg production, quality and lipid composition, and the cost of 1 kilogram of eggs. Soapstock ME and lipid composition were quantified. An experiment was done using 240 hens in six treatments, with five replicates and eight hens per replicate. Diets were formulated using CSO, or one of the Rev Mex Cienc Pecu 2019;10(2):283-297 284 soapstocks, at 2 or 4% concentrations. The evaluated productive variables were feed intake, feed conversion, egg weight, egg mass, laying percentage and egg quality parameters. Egg lipid composition was described and the cost per one kilogram calculated. Replacement of CSO with the soapstocks did not affect poultry production variables (P>0.05), but did improve Haugh unit values (P<0.05). Egg fatty acids composition changed in response to oil composition (P<0.05), and inclusion concentration affected the levels of specific fatty acids. Use of the soapstocks resulted in a lower cost per kilogram of eggs than with CSO (P<0.05). Substitution of crude soy oil with the evaluated soapstocks had no effect on productive variables, improved egg quality and lowered overall feed costs.
Levels and Spatial Distribution of Heavy Metals in Lake Chilwa Catchment, Southern Malawi

The aim of this study was to assess the levels and distribution of heavy metals in Lake Chilwa and its catchment, and to understand the associated level of pollution. Water and sediment samples were collected from the lake and main inflowing rivers. A total of 23 surface water samples were sampled and analysed for pH, EC, Cu, Cr, Zn, Cd, Pb, As and Hg. Conductivity and pH were measured on-site with a Hanna portable multi meter, while metals were analysed by Inductively Coupled Plasma Optical Emission Spectrometer (ICP-OES). The pH was found within the alkaline range (7.87-10.13), while conductivity ranged from 97-390μS/cm. The following metals were detected in the water samples; Zn (6.24–1168.70 μg/L), Cu (BDL–47.83 μg/L), Pb (BDL–49.94 μg/L), Cr (0.22–33.05 μg/L), Ni (0.40–8.20 μg/L) and Cd (BDL–0.53 μg/L). Hg and As were not detected in all sampling locations. Strong positive correlations were observed between Cd and Pb (r = 0.70), Cu and Zn (r = 0.70), while Cd and Ni (r = 0.50), Pb and Ni (r = 0.41) showed mild correlations, suggesting similar sources of input. Sediments were sampled from 2 locations in the lake and the following metals were detected; Zn (66.13 mg/Kg), Pb (7.74 mg/Kg), Ni (35.39 mg/Kg), Cu (20.02 mg/Kg), Cr (54.81 mg/Kg) and As (1.0 mg/Kg). Mercury and arsenic were not detected from both sampling locations. The heavy metal pollution index ranged from 2.24 to 114.45. All points except Kachulu harbour had values far below the critical pollution index value of 100. The values observed were well below the tolerable limits recommended by the World Health Organisation (WHO) standard for potable water, except for Pb at Kachulu Bay (P19) which was above the limit. Concentrations of the metals in the rivers were low upstream and increased downstream. Highest values for most of the elements were observed from the lake. Though levels are low now, the persistent and cumulative properties of these elements would render them unsafe in the near future if proper controls are not enforced.
N 00039-85-C-0423 COMBINING MULTIPLE KNOWLEDGE SOURCES FOR SPEECH RECOGNITION

grammars used in the experiments are described in section We present results of the BBN BYBLOS continuous speech 4. Section 5 presents the recognition system results. The recognition system tested on the DARPA 1000-word reresults are discussed in section 6. source management database. The system was trained in a speaker dependent mode on 28 minutes of speech from each 2 THE BYBLOS SYSTEM of 8 speakerb, and was tested on independent test material The BYBLOS continuous speech recognition system '2 for each speaker. The system was tested with three artificial uses discrete denri" hidden Markv mod-Is (HMM) of grammars spanning a broad perplexity range. The average phonemes, a phonetic dictionary, and a finite state gramperformance of the system measured in percent word error mar to achieve high recognition performance for language was: 1.4% for a pattern grammar of perplexity 9, 7.5% for models of intermediate complexity. The parameters of the a word-pair grammar of perplexity 62, and 32.4% for a null IIM.Ms are estimated automatically from a set of supergrammar of perplexity 1000. vised training data. The trained phoneme models are combined into models for each word in the dictionary. These phonetic word models are then used to compute the most
Amber

A long-running analytic task on big data often leaves a developer in the dark without providing valuable feedback about the status of the execution. In addition, a failed job that needs to restart from scratch can waste earlier computing resources. An effective method to address these issues is to allow the developer to debug the task during its execution, which is unfortunately not supported by existing big data solutions. In this paper we develop a system called Amber that supports responsive debugging during the execution of a workflow task. After starting the execution, the developer can pause the job at will, investigate the states of the cluster, modify the job, and resume the computation. She can also set conditional breakpoints to pause the execution when certain conditions are satisfied. In this way, the developer can gain a much better understanding of the run-time behavior of the execution and more easily identify issues in the job or data. Amber is based on the actor model, a distributed computing paradigm that provides concurrent units of computation using actors. We give a full specification of Amber, and implement it on top of the Orleans system. Our experiments show its high performance and usability of debugging on computing clusters.
RAZVOJ FUNKCIJE TURIZMA U ZEMLJAMA EU: MJERENJE I STATISTIČKA EVALUACIJA

European Union countries are the most signifi cant tourist destinations around the world. However, the level of development of tourist function is not the same in all European Union countries. It seems interesting to compare the level of tourist function development of European Union countries. The article attempts to determine the value of the synthetic measure of levels of development of the tourist function of European Union countries, taking into consideration the eight most frequently utilised indicators. The study applies M. Walesiak’s General Distance Measure (GDM), where the normalisation of variables was undertaken during 2007-2016 with the application of a median-based formula. The empirical research was conducted, using the dynamic approach (for cross-sectional and tidal data) thus, enabling the comparison of changes observed in the analysed phenomenon tidally. The research fi ndings enabled the authors to rank EU countries in terms of their tourist function development levels and to classify them into three groups. In 2016, the leader regarding the level of development of tourist function was Malta. The majority of Western European countries have medium-high levels of development of in tourist function, whereas the group of countries with medium-low levels included countries from East-Central Europe, Scandinavian countries and several Western Europe countries. The obtained results can lay the foundation for the proper management of tourism in EU countries and for proper decision-making regarding the allocation of EU funds.
Comparison of Theoretical Models of Ripple Formation on the Surface of Icicles with Experiments I

The interaction of fluid flow in a bulk liquid with phase transformation at the solid-liquid interface can create new frontal instabilities. In the absence of flow in the liquid, it is well known that the fundamental building block of the morphological instability of a solidification front is the Mullins-Sekerka theory, which gives conditions for the growth of infinitesimal disturbances of a solid-liquid interface. However, little is known about morphological instability of solidification front in crystal growth from a thin film of flowing liquid. One such example is ring-like ripples on icicles. The ripples always measure about one cm from peak to peak. The water film covering the surface of icicles is very thin, with a water-air surface on one side and growing ice on the other. This is one of the more complicated moving boundary problems with phase transition. Recently, Ogawa and Furukawa developed an initial theoretical model that explains the surprisingly universal structures of ripples on icicles. A completely different ripple formation mechanism has been proposed by the author herein (Ueno). In this new morphological instability theory, the influence of the shape of the liquid-air surface on the growth conditions of disturbances of the solidliquid interface was taken into account for the first time. In a cold room at a temperature below zero degrees, we experimentally produced a ripple pattern of ice on the surface of a round wooden stick and that of a gutter on an inclined plane at various angles with regard to the horizontal plane, and water was supplied at various rates from their tops. The purpose of this paper is to compare some of the predictions derived from two theories with experimental results.
Bacterial Outer Membrane Vesicles

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ECONOMIC PAPERS

I estimate the effect of retirement on mortality, exploiting two discontinuities at age-based eligibility thresholds for pension claiming in Germany. The analysis is based on unique social security records that document the age at death for the universe of participants in the German public pension system. Using variation from bunching of retirements at age-based eligibility thresholds, I demonstrate that retirement can have both mortality-decreasing and mortality-increasing effects, depending on the group of retirees who comply to eligibility at each threshold. To reconcile heterogeneous effects with likewise mixed results from the literature I provide evidence that the retirement-mortality nexus is driven by the activity change at retirement. JEL Classification: H55, I12, J14, J26
Pattern functional dependencies for data cleaning

Patterns (or regex-based expressions) are widely used to constrain the format of a domain (or a column), e.g., a Year column should contain only four digits, and thus a value like "1980-" might be a typo. Moreover, integrity constraints (ICs) defined over multiple columns, such as (conditional) functional dependencies and denial constraints, e.g., a ZIP code uniquely determines a city in the UK, have been widely used in data cleaning. However, a promising, but not yet explored, direction is to combine regex- and IC-based theories to capture data dependencies involving partial attribute values. For example, in an employee ID such as"F-9-107", "F" is sufficient to determine the finance department. Inspired by the above observation, we propose a novel class of ICs, called pattern functional dependencies (PFDs), to model fine-grained data dependencies gleaned from partial attribute values. These dependencies cannot be modeled using traditional ICs, such as (conditional) functional dependencies, which work on entire attribute values. We also present a set of axioms for the inference of PFDs, analogous to Armstrong's axioms for FDs, and study the complexity of consistency and implication analysis of PFDs. Moreover, we devise an effective algorithm to automatically discover PFDs even in the presence of errors in the data. Our extensive experiments on 15 real-world datasets show that our approach can effectively discover valid and useful PFDs over dirty data, which can then be used to detect data errors that are hard to capture by other types of ICs.
Towards identifying intracellular drug targets of Mycobacterium tuberculosis against hit compounds in defined growth media

iii Lay Summary . iv Preface . v Table of contents . vi List of Tables . ix List of Figures . x Abbreviations . xi Acknowledgements . xiv Chapter one . 1 1.
Radioprotective Effects of Ginsan Through the Stimulation Hematopoiesis and Antioxidant Enzymes

An immunolodualtor ginsan which was isolated from Panax ginseng showed the mitogenic activity, generation of LAK cells, and secretion of several cytokines. In the extended effort to search other immunostimulatory effects, we evaluated protective effects of in vivo injected Ginsan against irradiation, by measuring the recovery of CFU-S, and the functioning of bone marrow (BM) and spleen cells. Ginsan was found to significantly increase the number of BM cells, spleen cells, granulocytes macrophage-colony forming cells (GM-CFC), and the number of circulating neutrophils, lymphocytes and platelets in irradiated mice. In addition, it induced endogenous production of cytokines such as IL-1, IL-6, IFN-γ and IL-12, which are required for hematopoietic recovery, and was able to enhance Th1 function while interfering with the Th2 response in irradiated mice. We demonstrated that the pretreatment with Ginsan protected mice from lethal effects of ionizing radiation more effectively than given immediately or after the irradiation. A significant increase of the survival of Ginsan-treated group (100mg/kg) from LD50/30 7.54 Gy of PBS-injection to 10.93 Gy was observed. Moreover, the levels of the antioxidant enzymes such as SODs, catalase and gluthathion peroxidase were increased 1.5-2 fold in ginsan treated mice compared to the irradiated mice. These findings indicate that ginsan may be a promising agent to be used in reducing the time needed for reconstituting of hematopoietic cells after irradiation treatment.
Fraud Detection in Mobile Money Transactions Using Machine Learning

– This study explores an effective data mining system for fraud detection in mobile financial transactions. Attempting two broad-used supervised machine learning models, random forest and gradient boosting, the study aims to test and compare their applicability in the detection of fraudulent records. Both classification models were developed using a synthetic dataset of mobile money transactions, which was generated based on a sample of real transactions extracted from an international mobile money service company.
A Review of Component and Pharmacology Activities of Black Garlic

Black garlic is garlic fermented in high temperature and humidity, and the fermentation compound chemical in garlic changes to new chemicals, such as S-allyl cysteine (SAC), S-allylmercapto-cysteine, and arginine. The color changed to dark brown during the aging period because of the Maillard reaction, known as non-enzymatic browning reaction. Black garlic has 57.14% of fructose, 6.78% of glucose, and 7.62% of sucrose, which were mainly saccharides in black garlic to answer for its sweet taste. It is such a pharmacological activity which contains antioxidant, anti-cancer, hepatoprotective, can improve the immune system, reduce hyperglycemia, dyslipidemia, and anti-allergic. We summarize the current knowledge of a change in the components, bioactivity, production, and applications of black garlic, as well as the proposed future prospects on their possible applications as a functional pharmacy product.
Validation of improved laser Doppler anemometer (LDA) based on the fully developed turbulent round jet

Accurate turbulence measurements are practically challenging even with common measurement techniques. The existing commercial LDA processors come with practical limitations affecting the measurement accuracy. A novel LDA has therefore been developed with utilization of recent technologies and state-of-the-art hardware and software, which enhance the capability of turbulence flow measurements. The software embedded offers an unlimited functionality for signal processing and data interpretation. Measurements were performed in the fully developed (equilibrium) region of a round jet at which the spatial turbulent kinetic energy spectra were found to perfectly match the expected Kolmogorov’s -5/3 power law in the equilibrium region.
Analysis of Flood Fatalities–Slovenian Illustration

Floods not only induce vast economic damages but also pose a great danger to human life. In Slovenia, floods rank number one on the scale of damage magnitude. Different factors external to the hazard of flooding influence the gravity and extent of the impacts. A comprehensive collection and analysis of the information related to the understanding of causative factors of human impacts can substantially contribute to the mitigation and the minimisation of fatalities and injuries. In this work, historical analysis was performed for flood fatalities in the years between 1926 and 2014, with 10 flood events that induced 74 casualties considered. A detailed collection and review on human impacts was made. Victims in cars have seemed to increase in recent years and rural areas tend to be more vulnerable and susceptible to having victims of flooding. With regards to gender, the majority of victims are male. The focus was on demographic aspects (age and gender) of fatalities and analysis of the circumstances of loss of life. Based on a description of the activities of victims during flood events and repetitive patterns, groups were made based on the type of flood fatality. Eight interviews were performed with rescuers and people who were affected by floods in order to obtain more extensive information on preventative measures, received help, and flood risk perception.
VES: A Mixed-Reality System to Assist Multisensory Spatial Perception and Cognition for Blind and Visually Impaired People

In this paper, the Virtually Enhanced Senses (VES) System is described. It is an ARCore-based, mixed-reality system meant to assist blind and visually impaired people’s navigation. VES operates in indoor and outdoor environments without any previous in-situ installation. It provides users with specific, runtime-configurable stimuli according to their pose, i.e., position and orientation, and the information of the environment recorded in a virtual replica. It implements three output data modalities: Wall-tracking assistance, acoustic compass, and a novel sensory substitution algorithm, Geometry-based Virtual Acoustic Space (GbVAS). The multimodal output of this algorithm takes advantage of natural human perception encoding of spatial data. Preliminary experiments of GbVAS have been conducted with sixteen subjects in three different scenarios, demonstrating basic orientation and mobility skills after six minutes training.
Spectroscopic investigation of palladium catalysts during wet methane oxidation

Abatement of the strong greenhouse gas methane in vehicle applications by use of catalytic end-of-pipe technologies is challenging due to the prevailing reaction conditions with low temperatures and high water content. In this thesis, the mechanisms behind low-temperature water inhibition of lean methane oxidation over palladium-based catalysts have been studied using an integrated experimental approach including wet-chemical preparation of model catalysts with systematic variation of key performance parameters, transient measurements of reaction kinetics in chemical flow reactor, and operando infrared and X-ray absorption spectroscopic characterisation. For Pd/γ-Al2O3 catalysts, well developed PdO particles is the most active phase and the apparent activation energy for methane oxidation is significantly higher in presence of water. It increases with decreasing palladium particle size in the presence of water as opposed to dry conditions where it decreases slightly. Linear and bridge-bonded hydroxyl surface species on alumina evolve during dry methane oxidation by spill-over of hydrogen species to the Pd/γ-Al2O3 rim, which correlates with a declining catalytic activity. Addition of water causes severe hydroxylation of the Pd/γ-Al2O3 catalysts that significantly hamper the methane turnover frequency. On the contrary, for Pd/ZSM-5 catalysts, hydroxyl formation on the Pd-ZSM-5 rim can not be detected in dry conditions, and is minor upon water addition. A high but not too high palladium dispersion, with palladium particle size not smaller than about 2 nm, is suggested for Pd/γ-Al2O3 catalysts as to balance water tolerance against palladium utilization. Lastly, ZSM-5 supported Pd-based catalysts show outstanding long-term performance for methane oxidation in the presence of water vapor compared to catalysts supported by γ-Al2O3. This finding stimulates the use of hydrophobic support materials given that palladium particles are sufficiently stabilized.
Can pycnogenol prevent cisplatin-induced damage in uterus and ovaries?

Introduction Cisplatin is an antineoplastic agent, which is thought to act on tissues with increased levels of reactive oxygen species and decreased levels of antioxidants. Pycnogenol is a potent antioxidant that is used in medical conditions caused by oxidative stress. The aim of our study is to demonstrate the effects of pycnogenol on cisplatin-induced uterine and ovarian damage in rats. Material and methods Wistar albino female rats were randomly divided into 3 groups before the experiment as follows: a 2.5 mg/kg cisplatin group (CG; n = 10), a 40 mg/kg pycnogenol + 2.5 mg/kg cisplatin group (PCG; n = 10), and a healthy control group (HG; n = 10). Then, the ovaries and uteri of the rats were examined to determine malondialdehyde (MDA), total glutathione (tGSH) and superoxide dismutase (SOD) biochemical levels and the histopathological findings. Results Our study demonstrated that, in uterine and ovarian tissues of rats administered with cisplatin, there was a decrease in the levels of tGSH and SOD, while MDA was increased; however, it was observed that these ratios were reversed in the PCG group (p < 0.05). The number of follicles in the ovarian tissues was examined in all 3 groups. When the CG group was compared with the other two groups, the number of primordial, developing and atretic follicles was low, but there was no difference in the corpus luteum count. Conclusions Pycnogenol pretreatment alleviates cisplatin-induced uterine and ovarian injury in rats because of its antioxidative effect.
FBW7 in hematological tumors

F-box and WD repeat domain-containing protein 7 (FBW7), also known as FBXW7, AGO or hCDC4, is an F-box protein with seven tandem WD40 repeats. FBW7 is a key substrate recognition subunit of the Skp1-Cul1-F-box-protein E3 ubiquitin ligase. FBW7 targets for ubiquitination and destruction of numerous crucial transcription factors and protooncogenes, including cyclin E, c-Myc, c-Jun, Notch and MCL-1. FBW7 is a well-characterized tumor suppressor, and its gene is frequently mutated or deleted in various types of human cancer, including colorectal cancer, gastric cancer, ovarian cancer and different types of leukemia. Accumulating evidence indicates that the aberrant expression of FBW7 is involved in the development of hematological tumors, including T cell acute lymphoblastic leukemia, adult T cell leukemia/lymphoma, chronic lymphocytic leukemia and multiple myeloma. The present review will describe the latest findings on the role of FBW7 in hematological tumors, in order to identify a novel target for future therapies.