Miracle-dz/UniFAR-FTUs huggingface dataset:
Photonic-crystal Lens Coupler Using Negative Refraction

A novel photonic crystal lens working in the negative refraction frequency region that can focus a beam of light into a wavelength-sized spot is proposed. The device is formed by drilling air holes of triangular lattice in a portion of a dielectric slab, and the whole structure is designed appropriately such that it can be easily fabricated using today's technology. The flnite-difierence time-domain simulations conflrm that the focusing efiect is mainly due to the negative refraction in the photonic crystal region, and the focused light can be e-ciently coupled into a dielectric waveguide.
Some Novel Bayesian Model Combination Schemes: An Application to Commodities Prices

Forecasting commodities prices on vividly changing markets is a hard problem to tackle. However, being able to determine important price predictors in a time-varying setting is crucial for sustainability initiatives. For example, the 2000s commodities boom gave rise to questioning whether commodities markets become over-financialized. In case of agricultural commodities, it was questioned if the speculative pressures increase food prices. Recently, some newly proposed Bayesian model combination scheme has been proposed, i.e., Dynamic Model Averaging (DMA). This method has already been applied with success in certain markets. It joins together uncertainty about the model and explanatory variables and a time-varying parameters approach. It can also capture structural breaks and respond to market disturbances. Secondly, it can deal with numerous explanatory variables in a data-rich environment. Similarly, like Bayesian Model Averaging (BMA), Dynamic Model Averaging (DMA), Dynamic Model Selection (DMS) and Median Probability Model (MED) start from Time-Varying Parameters’ (TVP) regressions. All of these methods were applied to 69 spot commodities prices. The period between Dec 1983 and Oct 2017 was analysed. In approximately 80% of cases, according to the Diebold–Mariano test, DMA produced statistically significant more accurate forecast than benchmark forecasts (like the naive method or ARIMA). Moreover, amongst all the considered model types, DMA was in 22% of cases the most accurate one (significantly). MED was most often minimising the forecast errors (28%). However, in the text, it is clarified that this was due to some specific initial parameters setting. The second ”best” model type was MED, meaning that, in the case of model selection, relying on the highest posterior probability is not always preferable.
Development and analysis of primary cultures from the midgut of the honey bee, Apis mellifera

The European honey bee, Apis mellifera , is an important research species of tremendous agricultural and economic importance. However, relatively few in vitro techniques are described for investigating honey bee physiology at the cellular or molecular level. This project describes a new technique for developing primary cell lines from the midgut of adult honey bees and characterizes the impact of donor age on the longevity, differentiation, and proliferation of intestinal stem cells within these cultures. Additionally, this study characterizes the effects of 20-hydroxyecdysone on intestinal stem cell proliferation and differentiation in vitro . Suspension cultures of midgut cells obtained through non-enzymatic dissociation were cultured in WH2 media with 1 µg/mL penicillin/streptomycin and 0.25 µg/mL Amphotericin B survived for up to 15 days. Age of donor had no significant effect on the longevity of cultures or rate of cell differentiation. However, the number of viable intestinal stem cells was significantly different between cultures from pre-eclosion pharate adults and cultures from workers. A 5-bromo-2'-deoxyuridine (BrdU) assay found very low levels of proliferation in cultures from all ages with the exception of foragers. Addition of 20-hydroxyecdysone did not affect the either longevity of the culture or the rate of cell differentiation or proliferation. These results suggest that the behavior of stem cells in culture is impacted by the age of the donor while differentiation is independent of age. Further, this work supports the idea that intestinal stem cells lose their proliferative capacity with age. The lack of effect of 20-hydroxyecdysone on measured parameters may indicate a physiological difference in the midguts of Apis mellifera and lepidopteran species and warrants further investigation. These cultures provide a starting point for future use as a model for honey bee midgut molecular and cellular physiology as well as in vitro studies of honey bee intestinal health.
Information Technology and Quantitative Management ( ITQM 2017 ) D-FCM : Density based fuzzy c-means cl stering algorithm with applicat on in medical image segmentatio

Fuzzy c-means algorithm (FCM) is a powerful clustering algorithm and it is widely used in image segmentation. However, in FCM, we need to give both the parameters of the number of clusters and the initial membership matrix in advance, and they affect the clustering performance heavily. In this paper, we propose a novel density based fuzzy c-means algorithm (DFCM) by introducing density for each sample. The density peaks are used to determine the number of clusters and the initial membership matrix automatically. Experimental results on benchmark datasets and medical image segmentation datasets show the efficiency and effectiveness of our D-FCM. c © 2017 The Autho s. Published by Elsevi r B.V. Selectio and/or peer-review under responsibility of ITQM2017.
COUPLED TRANSIENT THERMAL AND ELECTROMAGNETIC FINITE ELEMENT SIMULATION OF QUENCH IN SUPERCONDUCTING MAGNETS

Coupled nonlinear transient thermal, electromagnetic and circuit models have been developed for the simulation of quench in superconducting magnets. Finite elements methods are used for the thermal and electromagnetic fields simulations. The simulations are closely coupled because the time constants of the heat sources for the thermal model are determined by the electromagnetic and circuit models. The strongly anisotropic thermal conductivity of typical superconducting coil structures and the highly non-linear material characteristics require a matching anisotropic mesh and adaptive time integration procedures.
Chemical composition of meat of laying hens in alternative rearing systems

: The aim of this paper was to estimate the effect of rearing systems (floor and organic) on the chemical composition of meat of laying hens. The tested genotypes were Isa Brown hybrid and dual purpose breed New Hampshire. Based on the results of this research can be concluded that the rearing system, generally, did not caused statistically significant differences in any of the parameters examined chemical composition of meat. On the other hand, the breast meat - white meat and thigh and drumstick - dark meat of New Hampshire genotype had significantly higher fat content compared to the Isa Brown hybrid. It must be noted that in the breast meat reported significant interaction genotype x rearing system. The other parameters of the chemical composition of meat were not significantly different between reared genotypes.
Implementations of Network Security in the Internet Café s around Pretoria, South Africa

Although owners of Internet cafes extend the freedom use of Internet access to the users, but they fail to design a strong computer network security to prevent risk arising through computer access by users and external attacks. The aim of this study is to provide a conceptual framework for improving network security in the Internet Cafe strategically to ensure data privacy, data integrity, risk management and information security (IS) good behavior. The study investigated the challenges by Internet cafe owners to implementing network security and how information security can be implemented or improved in the Internet cafes. The follow-up interview was setup with the Internet cafe owners from all the Internet cafe were questionnaire of the first paper (information security issues that are faced by Internet cafe users) was conducted.
Run and tumble particle under resetting: a renewal approach

We consider a particle undergoing run and tumble dynamics, in which its velocity stochastically reverses, in one dimension. We study the addition of a Poissonian resetting process occurring with rate r. At a reset event the particle’s position is returned to the resetting site Xr and the particle’s velocity is reversed with probability η. The case corresponds to position resetting and velocity randomization whereas corresponds to position-only resetting. We show that, beginning from symmetric initial conditions, the stationary state does not depend on η i.e. it is independent of the velocity resetting protocol. However, in the presence of an absorbing boundary at the origin, the survival probability and mean time to absorption do depend on the velocity resetting protocol. Using a renewal equation approach, we show that the mean time to absorption is always less for velocity randomization than for position-only resetting.
LIPOPOLYSACCHARIDE-INDUCED PULMONARY MONONUCLEAR CELL RECRUITMENT VIA CCL 2

Subsequent to the initial recruitment of neutrophils, monocytes are recruited to the lung after an injurious insult. Previously the authors have shown that inhibition of either p38 or c-Jun NH2terminal kinase (JNK) decreased pulmonary neutrophil recruitment in mice exposed to lipopolysaccharide (LPS). As the signaling pathways regulating the influx of mononuclear cells to the lung are poorly understood, the authors undertook the present study to examine the roles of p38 and JNK. In a model of LPS-induced lung inflammation, systemic inhibition of JNK, but not p38, decreased the recruitment of mononuclear cells to the lung. Levels of CCL2 (monocyte chemoattractant protein 1 [MCP-1]) were decreased in the setting of JNK inhibition, with LPS-induced pulmonary mononuclear cell recruitment in CCL2-deficient mice similar to that found with JNK inhibition. The decrease in LPS-induced CCL2 levels in the lung seen with JNK inhibition, however, was independent of neutrophil recruitment, as systemic depletion of neutrophils had no effect on pulmonary CCL2 levels after LPS exposure. In sum, these results suggest that JNK, but not p38, regulates LPS-induced mononuclear cell recruitment to the lung, that this occurs through a CCL2-dependent pathway, and that LPS-induced pulmonary CCL2 expression is dependent on JNK but independent of pulmonary neutrophil recruitment.
Neoadjuvant FOLFIRINOX in pancreatic cancer 1231

adamantinoma). Case report and review of literature . J Cancer Res Clin Oncol 2008 ; 134 : 427 – 31 . Qureshi AA , Shott S , Mallin BA , Gitelis S . Current trends in the [2] management of adamantinoma of long bones. An international study . J Bone Joint Surg Am 2000 ; 82-A : 1122 – 31 . Hazelbag HM , Taminiau AH , Fleuren GJ , Hogendoorn PC . [3] Adamantinoma of the long bones. A clinicopathological study of thirty-two patients with emphasis on histological subtype, precursor lesion, and biological behavior . J Bone Joint Surg Am 1994 ; 76 : 1482 – 99 . Lokich J . Metastatic adamantinoma of bone to lung. A case [4] report of the natural history and the use of chemotherapy and radiation therapy . Am J Clin Oncol 1994 ; 17 : 157 – 9 . Dudek AZ , Murthaiah PK , Franklin M , Truskinovsky AM . [5] Metastatic adamantinoma responds to treatment with receptor tyrosine kinase inhibitor . Acta Oncol 2010 ; 49 : 101 – 4 . Van Der Graaf WT , Blay JY , Chawla SP , Kim DW , Bui-Nguyen [6] B , Casali PG , et al . Pazopanib for metastatic soft-tissue sarcoma (PALETTE): A randomised, double-blind, placebocontrolled phase 3 trial . Lancet 2012 ; 379 : 1879 – 86 . Motzer R , Hutson TE , Reeves J , Hawkins R , Guo J , Nathan [7] P , et al . Randomized, open-label, phase III trial of pazopanib versus sunitinib in fi rst-line treatment of patients with metastatic renal cell carcinoma (MRCC): Results of the COMPARZ trial. 37th ESMO Congress ; 2012 Sep 28 – Oct 2 ; Vienna, Austria . ing to manufacturer instructions). The cancer panel also included SMARCB1, a gene that when mutated is associated with hypersensitivity to pazopanib in cell cultures (see the ‘ Genomics of Drug Sensitivity in Cancer ’ database; (http://www.cancerrxgene.org/translation/Drug/199); this, however, was also found to be un-mutated. We suggest that treatment with pazopanib should be considered in the setting of metastatic AD. Further molecular profi ling of AD may identify the specifi c pathway and shed light on the mechanisms involved in sensitivity to pazopanib.
THE INFLUENCE OF REAL GAS EFFECTS ON THERMALLY INDUCED LOSSES IN RECIPROCATING PISTON-CYLINDER SYSTEMS

The efficiency of expanders is of prime importance for various clean energy technologies. Once mechanical losses (e.g. through valves) are minimized, losses due to unsteady heat exchange between the working fluid and the solid walls of the containing device can become the dominant loss mechanism. In this device, gas spring devices are investigated numerically in order to focus explicitly on the thermodynamic losses that arise due to this unsteady heat transfer. The specific aim of this study is to investigate the behaviour of real gases in gas springs and compare this to that of ideal gases in order to attain a better understanding of the impact of real gas effects on the thermally losses in reciprocating piston expanders and compressors. A CFD-model of a gas spring is developed in OpenFOAM. Three different gas models are compared: an ideal gas model with constant thermodynamic and transport properties; an ideal gas model with temperature-dependent properties; and a real gas model using the Peng-Robinson equation of state with temperature and pressuredependent properties. Results indicate that, for simple, monoand diatomic gases like helium or nitrogen, there is a negligible difference in the pressure and temperature oscillations over a cycle between the ideal and real gas models. However, when looking at a heavier (organic) molecule such as propane, the ideal gas model tends to overestimate the temperature and pressure compared to the real gas model, especially if no temperature dependency of thermodynamic properties is taken into account. Additionally, the ideal gas model (both alternatives) underestimates the thermally induced loss compared to the real gas model for heavier gases. Real gas effects must be taken into account in order to predict accurately the thermally induced loss when using heavy molecules in such devices.
Smart farming: disease detection in crops

Automation in the market has been for decades now in the market. These systems run all through the day but there has not been any design which regards to identifying and classifying objects in specific and giving apt solution to them. Latest technologies like image processing and advanced machine learning mechanisms have become the core of the science and innovations. Our project’s idea is a broad concept that integrates various subjects and generates solutions to energy saving, cooling, automation and structural design. To get the desired results, above are the few constraints which play a major role in yielding high productivity from the crops. And besides them, the classification of objects through image processing and machine learning is used instead of the man power to accomplish the target to reduce the amount of hardware used.
Wavelet-based deconvolution algorithms applied to ultrasound images

Since deconvolution is a recurring theme in a wide variety of signal and image processing applications, many algorithms have been proposed to address this problem. In particular, in ultrasound imaging, deconvolution is often applied as a fundamental step either for contrast enhancement or as preprocessing in segmentation procedures. In this work we present a comparative study between two wavelet-based deconvolution algorithms as tools for processing ultrasound images, one based on a minimization of an error energy term, the other performing a two-step regularization procedure on both the Fourier and Wavelet domain. The comparison is made in terms of Mean Square Error (MSE) and Signal to Noise Ratio (SNR) calculated on synthetic signals. Moreover, we estimate the computational cost and we provide processed B-mode images through which background noise smoothing and edge sharpness enhancement could be qualitatively evaluated.
Industrially-relevant polymerization-induced self-assembly formulations in non-polar solvents: RAFT dispersion polymerization of benzyl methacrylate

Industrially-sourced mineral oil and a poly(α-olefin) are used as solvents for the reversible addition–fragmentation chain transfer (RAFT) dispersion polymerization of benzyl methacrylate (BzMA) using a poly(lauryl methacrylate) macromolecular chain transfer agent (PLMA macro-CTA) at 90 °C. The insolubility of the growing PBzMA chains under such conditions leads to polymerization-induced self-assembly (PISA), whereby poly(lauryl methacrylate)-poly(benzyl methacrylate) (PLMA-PBzMA) diblock copolymer spheres, worms or vesicles are produced directly as concentrated dispersions. The particular diblock copolymer composition required to access each individual morphology depends on the nature of the oil. Moreover, the solvent type also affects important properties of the physical free-standing gels that are formed by the PLMA-PBzMA worm dispersions, including the storage modulus (G′), critical gelation temperature (CGT) and critical gelation concentration (CGC). Spherical PLMA-PBzMA diblock copolymer nanoparticles can be prepared at up to 50% w/w solids and an efficient ‘one-pot’ protocol involving solution polymerization of LMA followed immediately by dispersion polymerization of BzMA has been developed. The latter formulation enables high BzMA conversions to be achieved, with spherical nanoparticles being produced at 30% w/w solids.
Fuzzy Time Series Forecasting Model of Inverse Fuzzy Number Based on Percentage Year by Year of Continuous Point

Fuzzy time-series forecasting model of inverse fuzzy number based on percentage year to year of continuous point is proposed. We improved the forecasting model of Saxena. The new model puts the percentage year to year of historical data as for the domain of discourse, uses percentage year to year of continuous point to define fuzzy number, and then defines the corresponding inverse fuzzy number. At last we again provide the predictor formula and study the prediction problem of freshman registration number at the University of Alabama, in order to demonstrate the application of a new prediction model. The results show that AFER and MSE of the model are very small compared with the existing models.
The Examining the Effects of 12-Week Latin Dance Exercise on Social Physique Anxiety: The Effects of 12-Week Latin Dance

Abstract The objective of this paper was to examine the effects of 12-week Latin dance exercise on social physique anxiety. University students participated in the study. While 30 university students consisted of the experimental group, 30 university students consisted of the control group. Students in both groups were sedentary. Social Physique Anxiety Inventory (SPAI) was used in the study. No significant difference was found between pretest and posttest of control group (p=0.05) while significant difference was found between pretest and posttest of experimental group (p<0.05). Consequently, it can be said that dance training reduces on social physique anxiety. Because dancing provides individuals opportunity to share emotions, express themselves without any word, socialize, people may find the chance to move away from anxiety and stress of everyday life while dancing.
The Position of Marsha Norman's Female Characters from the Perspective of the Socialist-feminist Ideology

Socialist-feminism discusses the subordination and victimization of women in relation with men, the capitalist structure of the society, its institutions, the hegemonic patriarchal culture and history. Marsha Norman as a contemporary American feminist playwright portrays the position of women as victims of the societies they live in her plays. This study aims not to analyze Marsha Norman's plays in a detailed manner, but the purpose of this work is to give an introductory knowledge about Norman's female characters in her plays Third and Oak, Loving Daniel Boone, Sarah and Abraham and Circus Valentine by discussing their oppression in relation with the historical, cultural and social perspectives which are the main points of discussion in the Socialist-Feminist Theory.
An update on structural insights into the enzymes of the polyamine-trypanothione pathway : targets for new drugs against leishmaniasis

2017 In trypanosomatids, polyamine and trypanothione pathways can be considered as a whole unique metabolism, where most enzymes are essential for parasitic survival and infectivity. Leishmania parasites and all the other members of the Trypanosomatids family depend on polyamines for growth and survival: the enzymes involved in the synthesis and utilization of spermidine and trypanothione, i.e., arginase, ornithine decarboxylase, S-adenosylmethionine decarboxylase, spermidine synthase and in particular trypanothione synthetase-amidase, trypanothione reductase and tryparedoxin-dependent peroxidase are promising targets for drug development. This review deals with recent structure-based studies on these enzymes, aimed at the discovery of inhibitors of this pathway.
Lymphoma Homoharringtonine and G-SCF Priming for Acute Myeloid Leukemia , Is It Ready for Prime Time ?

Dr. Chen and colleagues presented their results with a homoharringtonine combination in treating relapsed refractory acute myeloid leukemia (AML). We reviewed the literature on homoharringtonine combinations in AML and suggest that randomized studies, especially with granulocyte colony-stimulating factor priming, be considered. L eu k L ym ph om a D ow nl oa de d fr om in fo rm ah ea lth ca re . c om b y U ni ve rs ity o f B ri tis h C ol um bi a on 0 2/ 20 /1 3 Fo r pe rs on al u se o nl y.
‘Dying to be Thin’: A Thematic Analysis of Pro-Ana Communities

Traditional discourses of eating disorders suggest that Anorexia is an illness and pathology. However, with the emergence of the Pro-Ana movement in the 1990s and its rejection of Anorexia as a disorder, the increasing importance of feminist and sociological approaches has been noted in existing literature; instead taking into account the importance of slenderness and beauty in a patriarchal Western culture (Orbach, 1994). As a subject of scrutiny in the media, it can be argued that popular opinion of the movement is negative and unbalanced. Drawing upon feminist and sociological theory, this research aims to study the marginalised group of Pro-Ana from a neutral position. Using the methodology of Thematic Analysis, this research explores the appeal of Pro-Ana communities and the most significant elements in the experiences of women who are associated with them, using their narratives to give this community a voice. With the emerging themes relating Pro-Ana communities as therapeutic retreats and religions; this research highlights the importance of the healing relationships within Pro-Ana circles as a way of gaining emotional strength. The role of media exposure on the popularity of the websites is also discussed.