Miracle-dz/UniFAR-FTUs huggingface dataset:
Determination of Condition Factor (CF) and Hepatosomatic Index (HSI) of Barbonymus schwanenfeldii from Galas River, Kelantan

55 eISSN Number: 2462-2389 © 2017 UMK Publisher. All rights reserved. Determination of Condition Factor (CF) and Hepatosomatic Index (HSI) of Barbonymus schwanenfeldii from Galas River, Kelantan Norsakinah Sabarudin, Nor Shahirul Umirah Idris*, Nurul Syazana Abdul Halim Faculty of Earth Science, Universiti Malaysia Kelantan, Jeli Campus, Jeli, Kelantan, Malaysia Institute of Graduate Studies, Universiti of Malaya, 50603 Kuala Lumpur, Malaysia
A Basic Review on Identification, Isolation and Applications of Stem Cells

Development of stem cells therapy and the mechanical isolation, cultivation and characterization is the thrust of today's translational research. This paper discusses a basic review in the form of an outline of different types of stem cells and lineages and their cultivation derived from various sources along with their application. A short note on limitations of each is also mentioned.
Micromorphology of Pollen Grains, Trichomes ofSweet Basil, Egypt

Sweet basil (Ocimum basilicum L.) is one of the most popular and healthy culinary herbs in the world. This herb belonging to the Lamiaceae family also referred to as the ‘King of Herbs’ has been used tremendously as traditional medicine for various ailments [1]. Its common name is sweet basil or garden basil, botanical or Latin name is Ocimum Basilicum L. its arabic name is Rihaan or Habaq. This plant was used in mummification process in Ancient Egypt as it was mixed with essences of Myrrh and incense. Also, it was also used as an offering to their Gods due to its aromatic fragrance. The biological properties of Ocimum basilicum L. oils which are related to their different interesting applications as antimicrobial, antioxidant, insecticidal and repellent, larvicidal, nematicidal and therapeutic (anti-inflammatory, antipyretic, anti-ulcer, analgesic, anthelmintic, anti-carcinogenic, skin permeation enhancer, immune-modulatory, cardio-protective, anti-lipidemic) agents [2]. Such this herb with therapeutic potential is popularly known as ‘Sweet basil’ which used in both ‘Ayurvedic’ and ‘Unani’ system of medicine while, studies revealed that Ocimum basilicum possesses analgesic, anti-inflammatory, antimicrobial, and cardiac stimulant properties [3]. On the other hand, it is a culinary herb that belongs to the ‘Lamiaceae family’ Sweet basil (Ocimum basilicum L.) belonging to family Lamiaceae, according to [4]. Labiatae (Lamiaceae) is represented in Egypt by 23 genera and 55 species. Ocimum basilicum is known for its antioxidant, antimicrobial, anti-fibrotic and anticancer properties [5]. The aromatic leaves of Ocimum basilicum contain a rich reservoir of phenolic compounds, flavonoids and volatile oils [6]. It is used as a treatment modality for various ailments such as poor digestion, nausea, migraine, depression, insomnia, kidney malfunction and skin infections [7-10] stated that investigations of pollen morphology of the Lamiaceae have been essential as an aid in classification within this family. Palynology has been used considerably in the taxonomy of angiosperms and can be applied in tracing the history of plant groups and species [11]. There is no reported work on the pollen morphology of the genus Ocimum in Egypt. [9] Found in their studies that most of Ocimum species pollen is with bi-reticulate-perforate tectum sculpture and suggested a re-evaluation in their classification. As well as [12] in their study of Ocimum L. species concentrated on pollen colpi reporting different types of pollen a colpate to octacolpate which reveal that there are significant differences among the species. Many species belonging to the family lamiaceae being highly Crimson Publishers Wings to the Research Research Article
4 D . 5 AN IDEALIZED HURRICANE CATASTROPHE MODEL

al 2008) show zero trends. Pareto distributions (e.g., Willoughby 2012a) fitted to the tails seasonally aggregated damage offers some insight. Pareto distribution are power-law approximations to other distributions’ tails such that Pr{d ≥ D} = Po (Do /D), where d is damage, D is cumulative-distribution damage, Do is the threshold damage corresponding to probability Po, and α is the Pareto exponent. They can be interpreted as Taylor series approximations
Correlation study between blood uric acid levels and disease severity in patients with type 2 diabetes mellitus and carotid atherosclerosis

Type 2 diabetes is the most common endocrine disease in our country, patients are with elevated blood glucose levels and insulin resistance, and it will increase the risk of macroangiopathy and microvascular complications[1,2]. Carotid atherosclerosis is the common macroangiopathy in patients with type 2 diabetes, it is also the window that reflects the coronary artery and intracranial artery lesions, and both abnormal lipid and homocysteine metabolism and endothelial injury caused by inflammation and oxidative stress are associated with the formation of atheromatous plaque[3,4]. Studies in recent years have confirmed that hyperuricemia is a newly discovered risk factor for cardiocerebrovascular events[5,6], but the relationship between blood uric acid metabolism and carotid atherosclerosis in patients with type 2 diabetes mellitus has not been clearly reported yet. In the following study, the correlation between blood uric acid levels and disease severity in patients with type 2 diabetes mellitus and carotid atherosclerosis was analyzed.
Extracting Rules from Deep Neural Networks

Neural network classifiers are known to be able to learn very accurate models in a wide variety of application domains. In the recent past, researchers have even been able to train neural networks with multiple hidden layers (deep neural networks) more efficiently. However, the major downside of neural networks is that it is not trivial to understand the way how they derive their classification decisions. To solve this problem, there has been research on extracting better understandable rules from neural networks. Although there are quite some algorithms available, to the best of our knowledge, none of them has ever been explicitly tested on deep neural networks. Furthermore, most authors focus on nets with only one single hidden layer, and hardly any paper even mentions deep neural networks. The present thesis fills in this gap and analyses the specific challenges of extracting rules from deep neural networks. A new algorithm – DeepRED – is presented that is able to perform this task. Its main strategy is to utilize C4.5 to extract layer-wise rules that are getting merged afterwards. The evaluation of the proposed algorithm shows its ability to outperform a baseline on several tasks. This work also provides general instructions on how to use an arbitrary deep neural network rule extraction algorithm to analyse single neurons in any neural network.
Magic and Neuroscience

In recent years neuroscientists have shown an increasing interest in magic. On a first level, the goal is to set up parallels between concepts that have long been discussed in magic theory, particularly misdirection, and those that are routinely studied in cognitive neuroscience, particularly attention and, as argued in this essay, different forms of memory. On a second, and perhaps more interesting level, this interest is due to the fact that magic tricks offer novel experimental approaches to cognitive neuroscience. In fact, magicians continuously demonstrate in very engaging ways one of the most basic principles of brain function – how the brain constructs a subjective reality using assumptions based on relatively little and ambiguous information.
ANTIBACTERIAL , ANTIOXIDANT AND PHENOLICS COMPOUND ANALYSIS OF ABRUS PRECATORIUS SEED COAT EXTRACT AND ITS DIFFERENT FRACTIONS

Chromatographic (DAD-HPLC) analysis of purified fractions from Abrus precatorius seed coat extract has been performed; the predominant phenolic compounds found were delphinidin, epicatechin, syringic acid, caeffic & vanillic acid. The purification was done by solid phase extraction (SPE) through using C18 silica bonded sorbent; two main fractions (nonanthocyanin I & anthocyanin II) were elucidated from extract and three sub fractions (neutral Ia, neutral Ib, acidic Ic) were separated from non-anthocyanin fraction. Antibacterial activity was evaluated by an agar well diffusion method against three Gram-negative & two Gram-positive bacteria. Result showed that A. precatorius seed coat extract were active against a panel of bacteria. Moreover fractionation of seed coat extract increased the antibacterial effect. Among sub-fractions, fraction Ic was found more active against gram positive bacteria whereas gram negative bacteria was found more sensitive towards fraction Ia. Antioxidant screening was done by four different methods; diphenyl-1-picrylhydrazy, reducing power, phenanthroline and lipoxygenase assay. Result showed that A. precatorius seed coat extract have excellent free radical scavenging activity and reduction potential. The order of antioxidant activity of the fractions was equivalent to their sequence of total phenolic and flavonoid contents i.e. fraction I>fraction Ic >fraction Ib>fraction Ia (except fraction II). The antioxidant activities of crude extract were highly correlated with the total phenolic content (p<0.01). Current finding suggest that along with the total phenolic content, the structure of polyphenols direct its antimicrobial and antioxidant potential. This study highlighted the medicinal importance of the seed coat of A. precatorius and its potent phenolic constituent. It suggested that the seed coat of A. precatorius could potentially be used for the isolation of potent antibacterial and antioxidant compounds.
Landslide Hazard Zonation of Babolrood Watershed , Iran

Landslides are among the most costly and damaging natural hazards in mountainous regions of Babolrood watershed area. The main causes for the development of the landslides in the area are the influence of earthquakes and rainfall. Landslide Hazard Zonation (LHZ) maps were drawn to evaluate the potential of instability in the region. Although the region faces high potential of landslide occurrence, due to rough geomorphological characteristics and high density of forest cover, the available information is very limited. Therefore, essential spatial database of landslides is established using GIS techniques. Various data layers namely lithology, fault buffer zones, earthquake induced acceleration, drainage layout, slope degree and orientation, rainfall intensity and landuse were considered as main affecting factors. The weighting-rating system based on the relative importance of various causative factors is derived from remotely sensed data and other thematic maps. Field observation and data collection on landslides are employed to evaluate and validate landslide hazard zonation map. According to analyzed data based on five different methods, it is interpreted that a combination of lithology and fault buffer zones is the most influencing factor on the disturbance of landslide in the region. Due to high annual precipitation (over 1800 mm) and sensitivity of clay minerals to absorb water, most of the landslides occurred in the rock units that contain clay minerals. Therefore, marlstone formations of Late Tertiary period demonstrate over 35% of the landslides developed in the region. The LHZ map is employed to evaluate potential damage to infrastructures specifically the life-line system and future development of the region. Keywordslandslide; hazard zonation; Babolrood watershed; slope instability.
The extreme HBL behaviour of Markarian 501 during 2012

Aims. We aim to characterize the multiwavelength emission from Markarian 501 (Mrk 501), quantify the energy-dependent variability, study the potential multiband correlations and describe the temporal evolution of the broadband emission within leptonic theoretical scenarios. Methods. A multiwavelength campaign was organized to take place between March and July of 2012. Excellent temporal coverage was obtained with more than 25 instruments, including the MAGIC, FACT and VERITAS Cherenkov telescopes, the instruments on board the Swift and Fermi spacecraft, and the telescopes operated by the GASP-WEBT collaboration. Results. Mrk 501 showed a very high energy (VHE) gamma-ray flux above 0.2 TeV of ∼0.5 times the Crab Nebula flux (CU) for most of the campaign. The highest activity occurred on 2012 June 9, when the VHE flux was ∼3 CU, and the peak of the high-energy spectral component was found to be at ∼2 TeV. Both the X-ray and VHE gamma-ray spectral slopes were measured to be extremely hard, with spectral indices < 2 during most of the observing campaign, regardless of the X-ray and VHE flux. This study reports the hardest Mrk 501 VHE spectra measured to date. The fractional variability was found to increase with energy, with the highest variability occurring at VHE. Using the complete data set, we found correlation between the X-ray and VHE bands; however, if the June 9 flare is excluded, the correlation disappears (significance < 3σ) despite the existence of substantial variability in the X-ray and VHE bands throughout the campaign. Conclusions. The unprecedentedly hard X-ray and VHE spectra measured imply that their lowand high-energy components peaked above 5 keV and 0.5 TeV, respectively, during a large fraction of the observing campaign, and hence that Mrk 501 behaved like an extreme high-frequencypeaked blazar (EHBL) throughout the 2012 observing season. This suggests that being an EHBL may not be a permanent characteristic of a blazar, but rather a state which may change over time. The data set acquired shows that the broadband spectral energy distribution (SED) of Mrk 501, and its transient evolution, is very complex, requiring, within the framework of synchrotron self-Compton (SSC) models, various emission regions for a satisfactory description. Nevertheless the one-zone SSC scenario can successfully describe the segments of the SED where most energy is emitted, with a significant correlation between the electron energy density and the VHE gamma-ray activity, suggesting that most of the variability may be explained by the injection of high-energy electrons. The one-zone SSC scenario used reproduces the behaviour seen between the measured X-ray and VHE gamma-ray fluxes, and predicts that the correlation becomes stronger with increasing energy of the X-rays.
Bayesian Inference in Logic-based Probabilistic Modeling by a General MCMC Method 佐藤泰介

We propose a general MCMC method for Bayesian inference in logic-based probabilistic modeling. It covers a broad class of generative models including Bayesian networks and PCFGs. The idea is to generalize an MCMC method for PCFGs to the one for a Turing-complete probabilistic modeling language PRISM in the context of statistical abduction where parse trees are replaced with explanations. We show examples of the marginal probability computation from MCMC samples and Bayesian Viterbi inference using a Naive Bayes model augmented with a hidden class variable.
ITQM 2014 Game-theoretic Study of Electricity Market Mechanisms

This paper surveys results on Nash equilibrium and its refinements for several variants of the architecture for oligopolistic electricity markets. For different kinds of one-stage and two-stage auctions, I compare the gametheoretic solution with the competitive equilibrium and estimate the loss of consumer surplus due to producers’ market power. I conclude on the optimal architecture of the market. © 2014 The Authors. Published by Elsevier B.V. Selection and peer-review under responsibility of the Organizing Committee of ITQM 2014.
Optimization of the mass for a low-power electric vehicle and consumption estimator ( e-bike , e-velomobile and e-car )

The design and optimization of the motor vehicle is a multidisciplinary problem that must consider the average speed, average elevation, resistive power, vehicle mass, luggage mass, motor mass, aerodynamics, performance, mechanical constraints, etc. The search to minimize cost and maximize autonomy adds to the difficulties of making technology choices. In recent years, the e-bike and e-motorcycle are marketed but what is optimal based on the weight of the battery and motor? What is the potential average speed without using the electric motor? What are the performances (consumption and acceleration) of a vehicle based on the added mass? What will be the autonomy of an e-bike based on its mass? To answer these questions, the actual performance of an e-bike and a fully faired e-velomobile along with the optimization coefficients will be presented. This e-velomobile provides a range of about 200 km at an average speed of 50 km/h for a mass of 50kg including the electric motor and a fairing that also provides protection against inclement weather. This e-velomobile is a single-passenger vehicle for someone up to 100kg plus 30 kg of luggage. Electric power consumption is only €1 per 2000 km and the charging time is one hour on a standard outlet. On a long route, average speed depends on the average grade of the road. Therefore, a consumption estimator can be used to determine the average speeds the vehicle can achieve without the risk of running the batteries empty. The electric bike is an excellent educational tool because all students can use it without any safety issues. When pedaling, the student can identify with the motor drive and understand the meaning of torque, speed and power.
Asset Allocation in SVCJ Models : How much does model choice matter ?

This paper analyzes the optimal portfolio decision of a CRRA-investor in models with stochastic volatility and stochastic jumps. The investor has access to one additional derivative and is restricted to a buy-and-hold strategy. We find that the fine structure of the risk premia has a significant impact on the optimal portfolio decision and the utility gain due to having access to derivatives. This structure is of equal importance as the impact of model choice. The model and the risk premia also have an impact on whether the investor prefers to trade OTM or ATM options. The dependence of the optimal portfolio on the specific model and on the specific assumptions on the risk premia leads to significant utility losses in case of model mis-specification, in particular when OTM puts are the seemingly optimal choice.
Some biochemical traits in broiler chicken as affected by insulin-like growth factor-1 (IGF-1) gene polymorphisms

This study was conducted during the period 1/9/2014 – 1/2/2015 and aimed to identify the polymorphisms of IGF-1 gene in broiler chicken and their effects on some biochemical traits. A total of 300 one-day old broiler chicks (Cobb500, n=150; Hubbard F-15, n=150) were evaluated in this study. Blood samples were individually collected from all birds for DNA extraction. PCR-RFLP method being used for determination the genotypes of IGF-1 gene which then correlated with biochemical traits studied. Cobb500 broilers with TT genotype had significantly (p˂0.05) higher serum triglycerides values than those of TC and CC genotypes. Low density lipoprotein (LDL) were significantly (p˂0.05) higher in Hubbard F-15 broilers with TT genotype than those of TC and CC genotypes. Also, LDL were significantly (p˂0.05) higher in Hubbard F-15 than in Cobb500 broilers. LDL of broilers with TC genotype were significantly (p˂0.05) higher in males than females. Alanine transaminase (ALT) enzyme activity values were significantly (p˂0.05) higher in broilers with TC genotype than those of TT genotype. Cobb500 broilers with CC genotype had significantly (p˂0.05) lower aspartate transaminase (AST) enzyme activity than those of TT and TC genotypes. Hubbard F-15 broilers with TC genotype had significantly (p˂0.05) lower AST enzyme activity than those of TT and CC genotypes. It was concluded that the activity of ALT and AST enzymes were more influenced by IGF-1 gene polymorphisms.
Increasing autism prevalence in metropolitan

High baseline autism spectrum disorder prevalence estimates in New Jersey led to a follow-up surveillance. The objectives were to determine autism spectrum disorder prevalence in the year 2006 in New Jersey and to identify changes in the prevalence of autism spectrum disorder or in the characteristics of the children with autism spectrum disorder, between 2002 and 2006. The cohorts included 30,570 children, born in 1998 and 28,936 children, born in 1994, residing in Hudson, Union, and Ocean counties, New Jersey. Point prevalence estimates by sex, ethnicity, autism spectrum disorder subtype, and previous autism spectrum disorder diagnosis were determined. For 2006, a total of 533 children with autism spectrum disorder were identified, consistent with prevalence of 17.4 per 1000 (95% confidence interval = 15.9–18.9), indicating a significant increase in the autism spectrum disorder prevalence (p < 0.001), between 2002 (10.6 per 1000) and 2006. The rise in autism spectrum disorder was broad, affecting major demographic groups and subtypes. Boys with autism spectrum disorder outnumbered girls by nearly 5:1. Autism spectrum disorder prevalence was higher among White children than children of other ethnicities. Additional studies are needed to specify the influence of better awareness of autism spectrum disorder prevalence estimates and to identify possible autism spectrum disorder risk factors. More resources are necessary to address the needs of individuals affected by autism spectrum disorder.
EKG-Mapping unter Belastung zur Diagnose der koronaren Herzerkrankung. Body Surface Mapping During Exercise in the Diagnosis of Coronary Heart Disease

Schlüsselwörter: Elektrokardiographie, Belastungsuntersuchung, Mapping, Diagnose, Koronare Herzerkrankung Mit Hilfe eines automatisierten Mapping-Systems registrierten wir 48 unipolare präcordiale Ableitungen während körperlicher Belastung. Hierbei sollte untersucht werden, ob die neue Methodik mehr Information für die Diagnose der koronaren Herzerkrankung liefert als die konventionellen EKG-Ableitsysteme. Wir erfaßten alle Ableitungen simultan und verwendeten zusätzliche digitale Signalverarbeitungsprograrnme, die eine exaktere quantitative Analyse ermöglichten. 130 konsekutive Patienten sowie eine Kontrollgruppe von 20 gesunden Probanden wurden begleitend zum herkömmlichen Belastungs-EKG mit dem Mapping-System untersucht. Ort und Größe der belastungsinduzierten EKG-Änderung wurden mit den Ergebnissen der Koronarographie soweit durchgeführt vorglichen. Der erreichte Sensitivitätswert (94 %) lag deutlich über den Vergleichswerten der Standardableitungen.