Miracle-dz/UniFAR-FTUs huggingface dataset:
DELAY IN DIAGNOSIS OF CHILDREN WITH CANCER: A Retrospective Study of 315 Children

To determine the demographic and systemic parameters in children with solid malignancies and to ascertain which of them affected the delay in diagnosis, a retrospective study was performed on 315 children diagnosed with a solid tumor at our hospital, including epidemiological, social, and medical issues concerning the family, the child, the medical system, and the tumor. Lag time, defined as the interval between onset of symptoms and final diagnosis, including parent delay and physician delay, was estimated for each child. Mean lag time: 15.75 weeks (w), median: 7 w, range: 0–208 w. Lowest mean values appeared in kidney tumors, highest in epithelial, brain and soft tissue sarcomas. Mean parent delay: 4.42 w, median: 1 w, range: 0–130 w. Mean physician delay: 11.17 w, median: 4 w, range: 0–206 w. Among the demographic and personal parameters, the best predictors for diagnosis delay were age of child and father's ethnic origin. Several factors influenced diagnosis delay of childhood solid tumors. Recognizing these factors could minimize the delay, thereby improving the child's chances of survival.
Automatic Recognition of Acute Lymphoblastic Leukemia using Multi-SVM Classifier

Acute lymphoblastic leukemia (ALL) is the most popular form of white blood cells cancer in children. It is classified into three forms of L1, L2 and L3. Typically, it is identified through screening of blood smearsvia pathologists. Since this is laborious and tedious, automatic systems are desired for suitable detection; but the high similarity between morphology of ALL forms and that of normal, reactive and a typical lymphocytes, makes the automatic detection a challenging problem. This study tried to improve the accuracy of detection based on principle component analysis (PCA). After segmenting nuclei of cells, numerous features were extracted. The first six components of this feature space were used for the binary and multiclass support vector machine classifiers. An expert pathologist was used to appraise this method as a gold standard. A collation with similar work indicated that using PCA instead of using exclusively selected features enhanced the average sensitivity and specificity of classification up to 10%. The results demonstrate that this algorithm performs better than similar studies. Its permissible efficiency for identifying ALL and its sub-types as well as other lymphocyte forms makes it an associate diagnostic device for pathologists.
Fabrication of Transparent Conducting Electrode Pattern by Metal Mesh Method on Stretchable Film Substrate

Smart phones have become one of major electronic devices for human being. The easy and rapid exchange of information between man and machine is carried out by the touch screen panel (TSP) installed in the smart phones. Currently the smart phones are widely spread out while displays for automobiles are in the initial stage of developments. Since the automobile displays should fit the curved area of indoor space of the vehicle, the TSPs for automobiles need to be fabricated on the flexible and stretchable substrate film. In this study, we selected the thermo-plastic polyurethane film as the substrate film and examined the materials and process for fabrication of metal mesh type transparent conducting electrode films suitable for TSPs of automobile displays. The optimum UV resin system was established by the evaluation of various UV resin formulations in the UV imprinting process to make 3 × 3.5 μm trench patterns on the metal mesh type electrode film utilizing the embossed metal mask plate. The Ag paste has also been prepared by synthesis of Ag nanoparticles and formulation with the binder polymers. The inlay (filling) of Ag paste in the trench layer of transparent electrode film showed that the variation of electrical resistance was within 10% upon bending up to 100,000 times to radius of 3 mm.
Comparison of Extraction Solvents and Techniques Used for The Assay of Free and Bound Phenolic Acids from Rice Samples

a Faculty of Sports and Health Science, Institute of Physical Education, Mahasarakham Campus, Mahasarakham 44000, Thailand b Faculty of Sports and Health Science, Institute of Physical Education, Udon Thani Campus, Udon Thani 41000, Thailand c U.S. Department of Agriculture, Food Composition and Method Development Laboratory, Beltsville Human Nutrition Research Center, USA. d Department of Chemistry and Center for Innovation in Chemistry, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand
Molecular Docking, Pharmacophore, and 3D-QSAR Approach: Can Adenine Derivatives Exhibit Significant Inhibitor Towards Ebola Virus?

Introduction: Ebola Virus Disease (EVD) is caused by Ebola virus, which is often accompanied by fatal hemorrhagic fever upon infection in humans. This virus has caused the majority of deaths in human. There are no proper vaccinations and medications available for EVD. It is pivoting the attraction of scientist to develop the potent vaccination or novel lead to inhibit Ebola virus. Methods & Materials: In the present study, we developed 3D-QSAR and the pharmacophoric model from the previous reported potent compounds for the Ebola virus. Results & Discussion: Results & Discussion: The pharmacophoric model AAAP.116 was generated with better survival value and selectivity. Moreover, the 3D-QSAR model also showed the best r2 value 0.99 using PLS factor. Thereby, we found the higher F value, which demonstrated the statistical significance of both the models. Furthermore, homological modeling and molecular docking study were performed to analyze the affinity of the potent lead. This showed the best binding energy and bond formation with targeted protein. Conclusion: Finally, all the results of this study concluded that 3D-QSAR and Pharmacophore models may be helpful to search potent lead for EVD treatment in future.
Best practices and discussion for Korean language processing

This paper presents open language resources for Korean. It describes several language processing models and systems including morphological analysis, partof-speech tagging, syntactic parsing for Korean, and standard evaluation KoreanEnglish machine translation data with the baseline system. We make them publicly available to pave the way for further development regarding Korean language processing.
MODEL VALIDATION OF A FOUR-STORY BASE ISOLATED BUILDING USING MEASUREMENTS FROM SEISMIC SHAKE-TABLE EXPERIMENTS

The presence of uncertainties in real-life structures results in many mathematical models proposed to describe a structure’s behavior. However, structural control design, lifetime prognosis, hazard analysis and so forth all require a model (or a set of models) that accurately predicts the response. Model falsification can be used to eliminate some of the incorrect models based on the philosophy that measurement data can only be used to reject a model instead of supporting one; however, it cannot judge the relative merits of retained (unfalsified) models. In contrast, Bayesian model class selection can be used to provide such relative judgments; however, it can be computationally intensive for complex models and can, in the end, choose as best a model that is itself invalid. This paper investigates a synergy of these two approaches to mitigate their respective shortcomings. The proposed model validation approach is illustrated using a four-story base-isolated reinforced concrete (RC) building that was tested in 2013 at Japan’s E-Defense earthquake engineering research center by subjecting it to different earthquake excitations. The structure is an RC moment frame with structural walls in one corner to resist lateral loading. The isolation layer consists of several kinds of passive devices. The data from the 8 August 2013 tests are used to validate different model classes of the superstructure. The results demonstrate that the Occam’s razor built in this validation approach prefers models with fewer parameters. 1 Graduate Students, Astani Dept. Civil & Env. Engrg. , Univ. of Southern California, Los Angeles, CA 90089 (email: Subhayan.De@usc.edu, yutianha@usc.edu) 2 Professor & Vice Dean of Academic Programs, Astani Dept. Civil & Env. Engrg. , Univ. of Southern California, Los Angeles, CA 90089 (email: JohnsonE@usc.edu) 3 Assoc. Professor, Dept. Civil & Env. Engrg. , Clarkson Univ., Potsdam, NY 13699 (email: swojtkie@clarkson.edu) De S, Yu T, Johnson E A, Wojtkiewicz S F. Model Validation of a Four-Story Base Isolated Building using Measurements from Seismic Shake-Table Experiments. Proceedings of the 11th National Conference in Earthquake Engineering, Earthquake Engineering Research Institute, Los Angeles, CA. 2018. Eleventh U.S. National Conference on Earthquake Engineering Integrating Science, Engineering & Policy June 25-29, 2018 Los Angeles, California Model Validation of a Four-Story Base Isolated Building using Measurements from Seismic Shake-Table Experiments S. De1, T. Yu1, E. A. Johnson2, and S. F. Wojtkiewicz3
Numerical Comparisons of Traffic Flow Models

In the past several years, the fast growing number of vehicles on long crowded roads motivated an intense scientific research activity in the field of traffic flow modeling. In this thesis we present and discuss some of the macroscopic models of vehicular traffic flow; the first order LWR model and second order Aw-Rascle model are both solved analytically and numerically. We study the Riemann problems of these models and present some numerical similarities as well as differences between the two models. We perform several numerical experiments in order to verify some qualitative traffic flow behaviour for various traffic parameters in our models. All numerical simulations presented in this thesis are obtained by implementing the first order Godunov-type approximation together with the CFL condition for the stability test of the solutions. In our numerical tests we will show that the Aw-Rascle model predicts instabilities for very light traffic, even with few slow drivers that could not be predicted by the LWR model.
In vitro synergistic effect of biosurfactant produced by Bacillus subtilis MTCC 441 against drug resistant Staphylococcus aureus

Microorganisms are capable to produce a wide range of surface active metabolites which are known as biosurfactant. In the present study, the production of biosurfactant from Bacillus subtilis MTCC 441 and evaluation of its synergistic activities with known antibiotics against drug resistance Staphylococcus aureus were performed. Drops collapse grid method was developed for detection of biosurfactant production in the medium. The production of biosurfactant was done in previously defined Carvalho's medium. The extraction of biosurfactant was done in chloroform: methanol (2:1 v/v) solvent. The synergistic activity of crude biosurfactant was determined by disc diffusion and minimum inhibitory concentration assay. The Staphylococcus aureus was found resistant against ampicillin-sublactum (10µg), ampicillin (25µg), and cloxacillin (5µg), which showed no zone of inhibition but in the combination of crude biosurfactant, the zone of inhibition were measured as 14 mm, 14 mm and 19 mm, respectively. The crude biosurfactant showed good synergy with most of the antibiotics used in the study. The results demonstrated that biosurfactant possesses considerable potentiality to break the resistance of the pathogen tested. In future, it can be used for the development of effective drug against resistant bacteria.
A Sound Operational Semantics for Circus

The use of formal methods in software engineering considerably reduces the number of errors throughout system developments by enforcing a rigorous specification and verification before reaching a final implementation. We provide, on this paper, a full and sound Structural Operational Semantics for Circus, a formal notation that combines Z and CSP. Our work lifts the works of Freitas, Cavalcanti and Woodcock by creating rules that deal with any Circus construct. We also provide, on this paper, proof of soundness of the Structural Operational Semantics with the Unifying Theories of Programming (UTP).
Sporothrix stylites : A New Record from Field Soil in Korea

The fungal strain, designated KNU16-008, was isolated from field soil in Chungcheongnam-do, Korea. The isolated fungi was characterized by morphological and phylogenetic analyses. Isolated fungus showed typical morphological characteristics of the genus Sporothrix. Based on its phylogenic analysis using internal transcribed spacer (ITS) of rDNA and β-tubulin gene sequences, the strain KNU16-008 was identified as Sporothrix stylites. This species has not been previously reported in Korea.
A Review On Optical Properties Of Transition Metal Doped Zno Nanostructures

The fascinating and surprising optical properties of ZnO nanostructures have attracted much attention for application in optoelectronics, photonics, sensors, photovoltaic devices as well as in the field of life sciences. Zinc oxide is a unique material with direct energy band gap 3.37 eV. These are unexpensive material having optical transparency in visible light region. In absence of doping, most of these structures are found as n-type material. The oxygen vacancies and zinc interstitials may be responsible for this n-type behavior. Again extra substitution of hydrogen impurities are also considered as one of the cause of this behavior [1-3]. The energy band of ZnO makes it suitable for short wavelength range optoelectronic device fabrication. The conductivity of ZnO can be enhanced by the method of doping. Again these nanostructures can be found as a diverse group of growth morphologies. These are available as nanopins, nanobelts, nanowires and nanorods in one dimensional structure. These nano structures are again found in 2D structures as nanosheet, nanoplates and nanopellets. On the other hand, 3D structures of zinc oxides are obtained as flowers, snowflakes and dandelion etc. Zinc oxide is II-VI semiconductor element with exciton energy of 60 mV. The zinc oxide crystallizes are available in three forms as hexagonal wurtzite, cubic zincblende and rarely observed as cubic rocksalts. The common stable form at ambient condition is wurtzite structure. The large direct band gap of ZnO associated with higher breakdown voltage, sustainability for large electric field and higher temperature operation for device fabrication realization. Zinc oxide is known as multifunctional material because of its chemical stability, high electrochemical coupling coefficient, high photostability and broad range of radiation absorption [4-8].
The CD4-independent tropism of human immunodeficiency virus type 2 involves several regions of the envelope protein and correlates with a reduced activation threshold for envelope-mediated fusion

Several human immunodeficiency virus type 2 (HIV-2) strains have been shown to infect some CD4-negative cell lines (P. R. Clapham, A. McKnight, and R. A. Weiss, J. Virol. 66:3531-3537, 1992). Using molecular clones of HIV-2 with a CD4-independent tropism, we have identified critical amino acid residues in the envelope protein which are required for CD4-independent infection. Mutations located immediately upstream of a proposed coiled coil domain in the transmembrane protein (A526T or I528M) and flanking the base of the V4 loop (L378F and K403R) are crucial for the CD4-independent phenotype. Of several mutations conferring a positive charge in V1, V2, and V3, only the change in V3 (Q310K) helped to enhance the CD4-independent phenotype but could not mediate it on its own. These mutations reduce the amount of soluble CD4 required to trigger CD4-independent cell-cell fusion, suggesting that they lower the activation threshold for the fusion process. After binding to cell surface-anchored CD4, a CD4-independent recombinant envelope protein showed an increased binding of anti-envelope protein antibodies, suggesting either an enhanced binding to cell surfaces or more extensive conformational changes in CD4-independent compared to CD4-dependent envelope proteins. The reduced activation threshold of CD4-independent envelope proteins may thus enable them to utilize a membrane molecule for entry which is not as efficient as CD4 in triggering the conformational changes required for the membrane fusion process. CD4-independent HIV-2 variants may be conceptually similar to influenza virus variants capable of fusing at a higher than normal pH (R. S. Daniels, J. C. Downie, J. A. Hay, M. Knossow, J. J. Skehel, M. L. Wang, and D. C. Wiley, Cell 40:431-439, 1985).
Does Satisfaction Really Influence Loyalty? ----Based on Meta-Analysis

In the past decades, satisfaction dominant logic gained widely acceptance in both marketing practice and research because it is naturally believed to influence loyalty. However, can satisfaction really bring loyalty? Using meta-analytical method and based on 85 quantitative studies from 1980 to 2007, this research finds that although satisfaction affects composite loyalty, the effect of satisfaction on behavioral loyalty is not salient as that on attitudinal ones.
Intercontinental community convergence of ecology and morphology in desert lizards

Evolutionary ecologists have long debated the extent to which communities in similar environments but different geographic regions exhibit convergence. On the one hand, if species' adaptations and community structure are determined by environmental features, convergence would be expected. However, if historical contingencies have long-lasting effects convergence would be unlikely. Most studies to date have emphasized the differences between communities in similar environments and little quantitative evidence for convergence exists. The application of comparative phylogenetic methods to ecological studies provides an opportunity to further investigate hypotheses of convergence. We compared the evolutionary patterns of structural ecology and morphology of 42 species of iguanian lizards from deserts of Australia and North America. Using a comparative approach, we found that evolutionary convergence of ecology and morphology occurs both in overall, community-wide patterns and in terms of pairs of highly similar intercontinental pairs of species. This result indicates that in these desert lizards, deterministic adaptive evolution shapes community patterns and overrides the historical contingencies unique to particular lineages.
Summer 6-15-2016 SCHOOLS OF THOUGHT IN SERVICE MODULARITY

Modularity in services has emerged as a promising design principle to achieve a sound balance between cost-effective standardization and individualization at the same time. However, the multiple perspectives from which scholars have addressed service modularity reflect the high degree of complexity of the concept. We denoted numerous research streams within the service modularity domain that use different terminology and draw on their distinctive understanding about the modular service design. The implications that arise from these research streams are manifold and have not yet been covered from a holistic perspective. The purpose of this paper is therefore to provide an overview of the commonalities and differences between existing research pathways and thereby guide both future research as well as service providers. We approach this goal by the use of an innovative methodology that combines both systematic literature review and hermeneutic approach, which enabled us to develop fresh research perspectives while avoiding certain pitfalls of traditional methodologies. Our findings show the emerging of four schools of thought in service modularity research. Each school draws on a distinctive understanding about the interrelation between modularity in service, product and business model.
Image Converting into Complex Networks : Scale- Level Segmentation Approach

Image analysis and recognition is being a contemporary domain for successful tries to apply complex networks as an instrument for thorough studies. Researchers noted that an image having traditionally converted into a network (i.e. taking into account Euclidean distance between pixels only) possesses nodes with similar number of admissible links and the concomitant graph demonstrates a regular topology. As a rule, pixel intensity difference is considered to escape regularity and reach complex property of the network. Contrary revealing more specific traits of an image current study proposes scale segmentation views -local, medium and global for an image to build a genuine complex network. Case study with two sample images manifests how the scales are connected with formation of a network topology. Keywords— images , complex networks, conversion, topology, segmentation , spatial scales
Estimating the effect of burrowing shrimp on deep-sea sediment community oxygen consumption

Sediment community oxygen consumption (SCOC) is a proxy for organic matter processing and thus provides a useful proxy of benthic ecosystem function. Oxygen uptake in deep-sea sediments is mainly driven by bacteria, and the direct contribution of benthic macro- and mega-infauna respiration is thought to be relatively modest. However, the main contribution of infaunal organisms to benthic respiration, particularly large burrowing organisms, is likely to be indirect and mainly driven by processes such as feeding and bioturbation that stimulate bacterial metabolism and promote the chemical oxidation of reduced solutes. Here, we estimate the direct and indirect contributions of burrowing shrimp (Eucalastacus cf. torbeni) to sediment community oxygen consumption based on incubations of sediment cores from 490 m depth on the continental slope of New Zealand. Results indicate that the presence of one shrimp in the sediment is responsible for an oxygen uptake rate of about 40 µmol d−1, only 1% of which is estimated to be due to shrimp respiration. We estimate that the presence of ten burrowing shrimp m−2 of seabed would lead to an oxygen uptake comparable to current estimates of macro-infaunal community respiration on Chatham Rise based on allometric equations, and would increase total sediment community oxygen uptake by 14% compared to sediment without shrimp. Our findings suggest that oxygen consumption mediated by burrowing shrimp may be substantial in continental slope ecosystems.
Practical energy-aware cell association for small cell deployment

In this work, we consider a heterogeneous network consisting of macro and pico base stations. Our goal is to associate users to one of the base stations,while minimizing the energy consumption of the network. Moreover, the algorithm should consider constraints of a real system and thus, only include the necessary complexity that helps reducing the energy consumption. Therefore, we first formulate the energy minimization problem in three different manners, each one including a different level of modeling details. The solution of each problem is analyzed to identify the important factors to consider when designing an energy-optimized cell association algorithm. Based on this analysis, we then develop a practical energy-aware cell association heuristic. Finally, the developed algorithm is evaluated using complex system simulations. Results show that significant energy savings are achievable by the developed algorithm compared with the conventional cell association in cellular networks. Copyright © 2016 John Wiley & Sons, Ltd.
A new path-oriented effect-cause methodology to diagnose delay failures

A new methodology to diagnose delay failures is described. Key characteristics of the methodology are: (a) path-oriented diagnosis, (b) effect-cause reasoning, and (c) utilization of information obtained from the passing vectors. Two new representations are developed to make manageable the complexity of a path-oriented methodology. The results of diagnosis are: (a) proven to include all possible causes of observed delay errors, and (b) empirically found to have very high resolution.