bluuebunny/crossref_metadata_2025 huggingface dataset:
Complete reconstitution of bypass and blocking functions in a minimal artificialFab-7insulator fromDrosophila bithoraxcomplex
Authors: Kyrchanova Olga , Sabirov Marat , Mogila Vladic , Kurbidaeva Amina , Postika Nikolay , Maksimenko Oksana , Schedl Paul , Georgiev Pavel
Published: June 2019

Significance

ThreeHoxgenes—Ubx,abd-A,andAbd-B—in theDrosophila bithoraxcomplex are regulated by enhancer domains that drive parasegment-specific expression. The boundary/insulator elements flank the regulatory domains, ensuring their autonomous activity. The presence of boundaries poses a paradox of how enhancers located in regulatory domains can bypass intervening boundaries to properly regulate one of theHoxgenes. Here we constructed in vivo boundaries consisting of multimerized binding sites for several architectural proteins that block cross-talk between neighboring regulatory domains and do not allow enhancer bypass. However, adding the 242-bp core of the endogenous boundary,Fab-7, completely restores bypass activity. Our results show that thebithoraxboundary can be functionally divided into separate insulator and bypass modules.
Appraising and reappraising of compliments and the provision of responses
Authors: Morady Moghaddam Mostafa
Published: June 2019

The role of cognitive processes in compliment-response (CR) exchanges is an underdeveloped area of investigation. This article aims to probe whether Persian speakers’ responses to compliments change in line with their appraisals of the situation. To achieve this aim, Persian speakers’ responses to compliments are analysed based on their first and second appraisals of the event. In this study, with a focus on the CR exchanges, Persian speakers (N = 160) were observed and audio-recorded during everyday conversation. The results of this study manifest that Persian speakers have distinct (and even opposite) reactions based on their first and second appraisal of compliments. This suggests, therefore, that Appraisal 1 and Appraisal 2 undergo different sociocognitive processes that reflect automatic and non-automatic responses to compliments. It is concluded that the relation between Appraisal 1 and Appraisal 2 is mostly contradictory rather than confirmatory, in that the first compliment is mostly appraised as a politeness strategy (a social lubricant), whereas the second compliment is frequently appraised as purposeful or strategic praise. In addition, the first compliment is responded to automatically, whereas the second compliment is approached non-automatically.
Regulatory roles of IL-10–producing human follicular T cells
Authors: Cañete Pablo F. , Sweet Rebecca A. , Gonzalez-Figueroa Paula , Papa Ilenia , Ohkura Naganari , Bolton Holly , Roco Jonathan A. , Cuenca Marta , Bassett Katharine J. , Sayin Ismail , Barry Emma , Lopez Angel , Canaday David H. , Meyer-Hermann Michael , Doglioni Claudio , Fazekas de St Groth Barbara , Sakaguchi Shimon , Cook Matthew C. , Vinuesa Carola G.
Published: June 2019

Mucosal lymphoid tissues such as human tonsil are colonized by bacteria and exposed to ingested and inhaled antigens, requiring tight regulation of immune responses. Antibody responses are regulated by follicular helper T (TFH) cells and FOXP3+ follicular regulatory T (TFR) cells. Here we describe a subset of human tonsillar follicular T cells identified by expression of TFH markers and CD25 that are the main source of follicular T (TF) cell–derived IL-10. Despite lack of FOXP3 expression, CD25+ TF cells resemble T reg cells in high CTLA4 expression, low IL-2 production, and their ability to repress T cell proliferation. CD25+ TF cell–derived IL-10 dampens induction of B cell class-switching to IgE. In children, circulating total IgE titers were inversely correlated with the frequencies of tonsil CD25+ TF cells and IL-10–producing TF cells but not with total T reg cells, TFR, or IL-10–producing T cells. Thus, CD25+ TF cells emerge as a subset with unique T and B cell regulatory activities that may help prevent atopy.
Inherited IL-18BP deficiency in human fulminant viral hepatitis
Authors: Belkaya Serkan , Michailidis Eleftherios , Korol Cecilia B. , Kabbani Mohammad , Cobat Aurélie , Bastard Paul , Lee Yoon Seung , Hernandez Nicholas , Drutman Scott , de Jong Ype P. , Vivier Eric , Bruneau Julie , Béziat Vivien , Boisson Bertrand , Lorenzo-Diaz Lazaro , Boucherit Soraya , Sebagh Mylène , Jacquemin Emmanuel , Emile Jean-François , Abel Laurent , Rice Charles M. , Jouanguy Emmanuelle , Casanova Jean-Laurent
Published: June 2019

Fulminant viral hepatitis (FVH) is a devastating and unexplained condition that strikes otherwise healthy individuals during primary infection with common liver-tropic viruses. We report a child who died of FVH upon infection with hepatitis A virus (HAV) at age 11 yr and who was homozygous for a private 40-nucleotide deletion in IL18BP, which encodes the IL-18 binding protein (IL-18BP). This mutation is loss-of-function, unlike the variants found in a homozygous state in public databases. We show that human IL-18 and IL-18BP are both secreted mostly by hepatocytes and macrophages in the liver. Moreover, in the absence of IL-18BP, excessive NK cell activation by IL-18 results in uncontrolled killing of human hepatocytes in vitro. Inherited human IL-18BP deficiency thus underlies fulminant HAV hepatitis by unleashing IL-18. These findings provide proof-of-principle that FVH can be caused by single-gene inborn errors that selectively disrupt liver-specific immunity. They also show that human IL-18 is toxic to the liver and that IL-18BP is its antidote.
Deidealization: No Easy Reversals
Authors: Knuuttila Tarja , Morgan Mary S.
Published: June 2019

Deidealization as a topic in its own right has attracted remarkably little philosophical interest despite the extensive literature on idealization. One reason for this is the often implicit assumption that idealization and deidealization are, potentially at least, reversible processes. We question this assumption by analyzing the challenges of deidealization within a menu of four broad categories: deidealizing as recomposing, deidealizing as reformulating, deidealizing as concretizing, and deidealizing as situating. On closer inspection, models turn out much more inflexible than the reversal thesis would have us believe, and deidealization emerges as a creative part of modeling.
Thumper the Infinitesimal Rabbit: A Fictionalist Perspective on Some “Unimaginable” Model Systems in Biology
Authors: McLoone Brian
Published: June 2019

Fictionalists believe that scientific models are about model systems that are imaginary. Michael Weisberg has claimed that fictionalism is indefensible because many scientific models are about model systems that are unimaginable. According to a certain account of imagination, what Weisberg says is plausible. According to another, more defensible account of imagination, it is not. I discuss these issues within the context of an allegedly unimaginable model system in ecology, but the conclusions I draw are more general. I then describe how fictionalism should be recast in order to deal with Weisberg’s critique.
Direct Inference in the Material Theory of Induction
Authors: Peden William
Published: June 2019

John D. Norton’s “Material Theory of Induction” has been one of the most intriguing recent additions to the philosophy of induction. Norton’s account appears to be a notably natural account of actual inductive practices, although his theory (especially his answer to the Problem of Induction) has attracted considerable criticism. I detail several novel issues for his theory but argue that supplementing the Material Theory with a theory of direct inference could address these problems. I argue that if this combination is possible, a stronger theory of inductive reasoning emerges, which has a more propitious answer to the Problem of Induction.
Humeanism, Best System Laws, and Emergence
Authors: Sartenaer Olivier
Published: June 2019

In the current article and contrary to a widespread assumption, I argue that Humeanism and ontological emergence can peacefully coexist. Such a coexistence can be established by reviving elements of John Stuart Mill’s philosophy of science, in which an idiosyncratic account of diachronic emergence is associated with extensions of the Humean mosaic and the correlative coming into being of new best system laws, which have the peculiarity of being temporally indexed. Incidentally, this reconciliation of Humeanism and emergence allows for conceiving the autonomy of the special sciences in an interesting way, consistently with the reductionist ideal of a unified science.
Generative framework for dimensionality reduction of large scale network of nonlinear dynamical systems driven by external input
Authors: Dutta Shrey , Roy Dipanjan , Banerjee Arpan
Published: June 2019

Several studies have proposed constraints under which a low-dimensional representation can be derived from large-scale real-world networks exhibiting complex nonlinear dynamics. Typically, these representations are formulated under certain assumptions, such as when solutions converge to attractor states using linear stability analysis or using projections of large-scale dynamical data into a set of lower dimensional modes that are selected heuristically. Here, we propose a generative framework for selection of lower dimensional modes onto which the entire network dynamics can be projected based on the symmetry of the input distribution for a large-scale network driven by external inputs, thus relaxing the heuristic selection of modes made in the earlier reduction approaches. The proposed mode reduction technique is tractable analytically and applied to different kinds of real-world large-scale network scenarios with nodes comprising of (a) Van der Pol oscillators (b) Hindmarsh–Rose neurons. These two demonstrations elucidate how order parameter is conserved at original and reduced descriptions thus validating our proposition.
Two-color XUV+NIR femtosecond photoionization of neon in the near-threshold region
Authors: Düsterer S , Hartmann G , Bomme C , Boll R , Costello J T , Erk B , De Fanis A , Ilchen M , Johnsson P , Kelly T J , Manschwetus B , Mazza T , Meyer M , Passow C , Rompotis D , Varvarezos L , Kazansky A K , Kabachnik N M
Published: June 2019

Results of angle-resolved electron spectroscopy of near-threshold photoionization of Ne atoms by combined femtosecond extreme ultraviolet and near infrared fields are presented. The dressed-electron spectra show an energetic distribution into so-called sidebands, being separated by the photon energy of the dressing laser. Surprisingly, for the low kinetic energy (few eV) sidebands, the photoelectron energy varies as a function of the emission angle. Such behavior has not yet been observed in sideband creation and has not been predicted in commonly used theoretical descriptions such as strong field approximation and soft photon approach. Describing the photoionization with a time-dependent Schrödinger equation allows a qualitative description of the observed effect, as well as the prediction of fine structure in the sideband distribution.
Josephson junction cavity systems as cousins of the quantum optical micromaser
Authors: Dambach Simon , Armour Andrew D , Kubala Björn , Ankerhold Joachim
Published: June 2019

We explore the similarities and differences between simple theoretical models developed to describe the quantum optical micromaser and Josephson-photonics devices. Whilst the micromaser has long been recognised as an important model for the dynamics of open quantum systems far from equilibrium, so-called Josephson-photonics devices are a recently developed form of superconducting quantum circuit in which the quantum transport of charges through a voltage-biased Josephson junction drives the production of photons in a microwave resonator.
VieSched++: A New VLBI Scheduling Software for Geodesy and Astrometry
Authors: Schartner Matthias , Böhm Johannes
Published: June 2019

We present a new Very Long Baseline Interferometry (VLBI) scheduling software called VieSched++, which is a stand-alone tool of the Vienna VLBI and Satellite Software (VieVS). The scheduler is written in C++ and aims to be flexible and easy to use, with a modern graphical user interface while creating high-quality schedules. In this work, the general design concepts of the scheduling software are discussed and the major scheduling algorithms are explained. Additionally, deep insight into the optimization criteria is given. First tests demonstrate that VieSched++ is able to generate schedules of highest quality. The software can be downloaded from https://github.com/TUW-VieVS.
Probing the CP violating Hγγ coupling using interferometry *
Authors: Wan Xia , Wang You-Kai
Published: June 2019

The diphoton invariant mass distribution from the interference between

and

is almost antisymmetric around the Higgs mass

. We propose a new observable

, the ratio of the sign-reversed integral around

(e.g.

) and the cross-section of the Higgs signal, to quantify this effect. We study

both in the Standard Model (SM) and new physics with various CP violating

couplings.

in SM could reach a value of 10%, while for CP violating

coupling

could range from 10% to −10%, which could probably be detected in the HL-LHC experiments.

with both CP violating

and

couplings is also studied, and its range of values is found to be slightly larger.
Chiral criticality and glue dynamics *
Authors: Fu Wei-Jie
Published: June 2019

The chiral order-parameter σ field and its higher-order cumulants of fluctuations are calculated within the functional renormalization group approach by adopting the local potential approximation in this study. The influence of glue dynamics on fluctuations of the σ field is investigated, and we find that they are weakly affected. This is in sharp contrast to the baryon number fluctuations, which are sensitive to the glue dynamics and involve information on the color confinement. The implications of our calculated results are discussed from the viewpoint of the theoretical and experimental efforts in the search for the QCD critical end point.
Squeezed back-to-back correlations of K+K−in d + Au collisions at =200 GeV and Au + Au collisions at = 62.4 GeV *
Authors: Zhang Yong , Yang Jing , Wu Weihua
Published: June 2019

We investigate the squeezed back-to-back correlations (BBC) of, caused by the mass modification of particles in the dense medium formed in d + Au collisions atGeV and Au + Au collisions atGeV. Considering that some kaons may not be affected by the medium, we further study the BBC functions ofwhen parts of all kaons have a mass-shift. Our results indicate that the BBC functions ofcan be observed when only ~10% of all kaons have a mass-shift in d + Au collisions atGeV and the peripheral collisions of Au + Au atGeV. Since the BBC function is caused by the mass-shift due to the interactions between the particle and the medium, the successful detection of the BBC function indirectly marks that the dense medium has formed in these collision systems. We suggest the experimental measurement of the BBC function ofin d + Au collisions atGeV and peripheral collisions of Au + Au atGeV.
Restoration of pseudo-spin symmetry in N = 32 and N = 34 isotonesdescribed by relativistic Hartree-Fock theory *
Authors: Li Zheng-Zheng , Chang Shi-Yao , Zhao Qiang , Long Wen-Hui , Niu Yi-Fei
Published: June 2019

The restoration of pseudo-spin symmetry (PSS) along the

and N =

isotonic chains and the physics behind are studied by applying the relativistic Hartree-Fock theory with the effective Lagrangian PKA1. Taking the proton pseudo-spin partners

as candidates, the systematic restoration of PSS along both isotonic chains is found from sulphur (S) to nickel (Ni), while an obvious PSS violation from silicon (Si) to sulphur is discovered near the drip lines. The effects of the tensor force components are investigated, introduced naturally by the Fock terms, which can only partially interpret the systematics from calcium to nickel, whereas they fail for the overall trends. Further analysis following the Schrödinger-like equation of the lower component of Dirac spinor shows that contributions from the Hartree terms dominate the overall systematics of the PSS restoration. Such effects can be self-consistently interpreted by the evolution of the proton central density profiles along both isotonic chains. In particular, the PSS violation is found to tightly relate to the dramatic changes from the bubble-like density profiles in silicon to the central-bumped ones in sulphur.
Expected energy spectrum of cosmic ray protons and helium below 4 PeV measured by LHAASO *
Authors: Yin L. Q. , Zhang S. S. , Cao Z. , Bi B. Y. , Wang C. , Liu J. L. , Ma L. L. , Yang M. J. , Suomijärvi Tiina , Zhang Y. , You Z. Y. , Zong Z. Z.
Published: June 2019

The Large High Altitude Air Shower Observatory (LHAASO) is a composite cosmic ray observatory consisting of three detector arrays: kilometer square array (KM2A), which includes the electromagnetic detector array and muon detector array, water Cherenkov detector array (WCDA) and wide field-of-view Cherenkov telescope array (WFCTA). One of the main scientific objectives of LHAASO is to precisely measure the cosmic rays energy spectrum of individual components from

eV to

eV. The hybrid observation will be employed by the LHAASO experiment, in which the lateral and longitudinal distributions of extensive air shower can be observed simultaneously. Thus, many kinds of parameters can be used for primary nuclei identification. In this paper, high purity cosmic ray simulation samples of the light nuclei component are obtained using multi-variable analysis. The apertures of 1/4 LHAASO array for pure proton and mixed proton and helium (H&He) samples are

and

, respectively. Prospect of obtaining proton and H&He spectra from 100 TeV to 4 PeV is discussed.
Lateral distribution of EAS muons measured for the primary cosmic ray energy around 100 TeV *
Authors: Feng You-Liang , Zhang Yi , Chen Tian-Lu , Guo Yi-Qing , Hu Hong-Bo , Liu Cheng , Xin Guang-Guang , Yao Yu-Hua , Wang Zhen , DANZENGLUOBU 罗布 , Gao Qi , Liu Mao-Yuan , Zhao Shi-Ping , Qiao Bing-Qiang , Guo Ying-Ying , Cai Hui
Published: June 2019

The muonic component of the extensive air showers (EAS) is of great importance for the astroparticle physics. It carries the information about the properties of primary cosmic ray (CR) particles, such as their mass, and electromagnetic and hadronic nature. It provides a sensitive test for the hadronic interaction models, which are inevitable for describing the cascade shower development of cosmic rays in EAS experiments. The YangBaJing Hybrid Array (YBJ-HA) experiment has been in operation since the end of 2016. Surface detectors are used for the measurements of primary energy, angular direction and core position of a shower event, while underground muon detectors are used for measuring the density of muons at various locations. Using the data obtained by the YBJ-HA experiment, this work reports the first measurement of the lateral muon distribution for the primary cosmic ray energy in the 100 TeV region. The punch-through effect is evaluated via MC simulation.
Primordial perturbations and non-gaussianities in Hořava-Lifshitz gravity *
Authors: Gao Xian
Published: June 2019

We investigate primordial perturbations and non-gaussianities in the Hořava-Lifshitz theory of gravitation. In the UV limit, the scalar perturbation in the Hořava theory is naturally scale-invariant, ignoring the details of the expansion of the Universe. One may thus relax the exponential inflation and the slow-roll conditions for the inflaton field. As a result, it is possible that the primordial non-gaussianities, which are " slow-roll suppressed” in the standard scenarios, become large. We calculate the non-gaussianities from the bispectrum of the perturbation and find that the equilateral-type non-gaussianity is of the order of unity, while the local-type non-gaussianity remains small, as in the usual single-field slow-roll inflation model in general relativity. Our result is a new constraint on Hořava-Lifshitz gravity.
2D electrical resistivity imaging based on backpropagation artificial neural network
Authors: Setyawan A , Fikri M S , Suseno J E , Najib
Published: June 2019

Dipole-dipole is one configuration design survey in electrical resistivity method which is common to interpreted shallow subsurface base on resistivity parameter, and the model can be developed using inversion formula. Otherwise, we developed some model without empirical mathematic formula; it is called Artificial Neural Network (ANN). ANN is a system which has a pattern like the human brain process to solve the complex problems. The research aims to develop a neural network algorithm using Matlab and compare the result 2D model resistivity between ANN and inversion by Res2Dinv (existing procedure) software. The research was done in Taman Rumah Kita (TRK) where located in Faculty of Science and Mathematics, Diponegoro University. A cylinder was buried in the center of TRK and getting the best architecture of the network and the value of Mean Square Error (MSE) of the output network. The backpropagation artificial neural network was built from many layers such as an input layer, hidden layer, and output layer and developed by Matlab programs. The Network train was tested using synthetic data and field data. The synthetic data was made with forwarding modeling method by Res2Mod software, and the field data was obtained by doing the measurement at the measurement site using dipole-dipole resistivity method. The comparing result models are present the best architecture obtained one input layer with three input units, three hidden layers with each layer has 100 neurons and one output layer that obtained by trial and error process. MSE obtained respectively in observation lines are 0.0210 at Line 1, and 0.0345 at Line 2.
Effect of mercerized surface treated natural fiber to the tensile properties of green composite
Authors: Hidayah E , Musyarofah L , Puspita D , Sujito
Published: June 2019

This research deals with fabrication and tensile properties characterization of green composite (GC). In this research, GC was made from ramie, coir and bagasse fiber as reinforcement with polylactic acid (PLA) biodegradable resin. To improve the adhesion between fiber and PLA also increasing tensile properties of GC, mercerization or NaOH fiber treatment is used. This is aimed to observe the effect of NaOH fiber surface treatment on the tensile properties of GC. Ramie, bagasse, and coir fiber were chopped (2-3mm) and immersed in 5 wt% NaOH for 2, 3 and 4 hours respectively. The GC with ten wt% fiber loading was prepared by pouring the fiber in a melted PLA at 170°C and stirring them for a homogenizing process. Then pour it in a metallic mold, the pressure at 10MPa was applied for 10 minutes. Six types of GC were obtained, such as R/PLA, C/PLA, B/PLA, RC / PLA, RB/PLA, and RCB/PLA, both of untreated and NaOH treated fiber. The tensile test was done to observe the effect of NaOH fiber surface treatment on the tensile properties of GC. The entire result showed that the tensile properties of GC were affected by fiber surface treatment and meaningless existence. The highest tensile strength and modulus of elasticity were obtained from GC with untreated R/PLA, 56.88±1.17 MPa and 363.37±11.44 MPa respectively.
Reservoir characterization by petrophysical analysis and core data validation, a case study of the “x” field prospect zone
Authors: Oetomo M A , Harmoko U , Yuliyanto G
Published: June 2019

Petrophysical analysis has been performed by evaluating log data that have been validated with core data using Geoframe 4.2 software. Using secondary log and core data which are located at depth of 1414 - 3820 ft, the research purpose is identifying reservoir characteristics of "X" field prospect zone. Sand A-Zone has permeability of 9.38% error curve and porosity curve error of 0.78%. In Sand B Zone permeability error of 52.32% curve and porosity error of 7.13%. In Sand C Zone permeability error of 198.8% curve and porosity error of 2.85%. In Sand D Zone permeability error of 61.54% curve and porosity error of 29.87%. In Sand E Zone permeability error of 54.73% curve and porosity error of 4.52%. There is no good correlation and error values that tend to be large because the lithology in Sand B and Sand C Zone has a tight range of lithology, so the reading of logging tool gives a fairly high error, especially in permeability data which still shows a decrease in error value after validated with core data. Quantitative analysis obtained by petrophysical parameter range from six zones porosity of 26 %, permeability of 2661 mD, and water saturation of 0.37 frac.
Synthesis and characterization of silicone rubber composite silica as the x-ray shielding
Authors: Astuti S Y , Sutanto H , Jaya G W , Hidayanto E , Arifin Z
Published: June 2019

Radiodiagnostics are diagnostics utilizing X-rays or radiochemical tracers. At the time of exposure using radiation, there may be radiation exposure that will affect the radiation workers. The purpose of this research is to develop materials that can be used as radiation shielding while maintaining radiodiagnostic examination results. This material is made by combining silicone rubber (SR) and silica composites materials through a simple process with a sample size (12 x 12 x 0.5 cm3). Samples were made in 2 variations using silicone rubber and silicone rubber-6% silica composite. Both samples were then tested using a mobile X-ray plane with tube voltage variations of 46 kV, 50 kV, 60 kV, 70kV, 81kV, 90kV, and 102kV, respectively. After being tested, the results of the X-ray transmission percentage for SR sheet at the minimum and maximum voltage are 60% and 75%, respectively. For SR-6% Silica sheet X-ray transmission percentage at the minimum and maximum stresses of 58% and 74%, respectively. This research results showed that the use of silica on SR has potential as a composite material that can provide increased absorption of X-ray radiation.
An investigation of a CT noise reduction using a modified of wiener filtering-edge detection
Authors: Anam C , Fujibuchi T , Toyoda T , Sato N , Haryanto F , Widita R , Arif I , Dougherty G
Published: June 2019

The aims of this study were to investigate the noise reduction in a CT image using a modified Wiener filtering-edge detection method. We modified the noise reduction algorithm of a combination of the Wiener filter and edge detection by addition of a dilation stage after edge detection. We then evaluated kernel size of the Wiener filter, threshold values in the edge detection, and size of structuring elements in the dilation process. Images of adult anthropomorphic and self-built wire phantoms were acquired by the new 4-row multislice CT Toshiba Alexion™. The images of the anthropomorphic phantom were used for a visual evaluation, while the images of the wire-phantom were used to obtain the spatial resolution and noise of the images. A Wiener filter-edge detection filter coupled with dilation, potentially reduced more CT noise. We found that the spatial resolution and noise of the filtered images were influenced by the size of the Wiener filter kernel, threshold of edge detection, and size of structuring element.
Calculation application of patient’s dose on fluoroscopy x-ray machine
Authors: Arifin Z , Hidayanto E , Suhardi
Published: June 2019

Dose recording in patients is not well implemented and so far has not been supported by the dose panel on the X-ray machine. Therefore, it is necessary to develop a dose-record application capable of storing dose data to support the patient’s radiation safety. It also refers to the regulation of diagnostic radiology service standards, medical records, and hospital accreditation standards regulated by the Ministry of Health. This study aimed to design an application of patient dosage record for abdominal examination with a Fluoroscopy X-ray machine. The design of dosage record application is done by exposing to radiation output and voltage (kV) variation of X-ray irradiation on 63-94.8 kV, current strength on 0.9-3.1 mA, and phantom thickness on 5-21 cm. The data is processed and multiplied by backscatter factor (BSF) is 1.35 to get entrance surface dose (ESD). ESD formula that can be included in the program script in the XAMPP software application. The dosage record application design can be used to record patient data with the calculated formulation obtained.
Multicolor Symmetrical Fractal Pattern Generator
Authors: Widodo C E
Published: June 2019

A fractal is a geometric figure that combines the several characteristics among others: its parts have the same form as the whole, fragmented, and formation by iteration. The concept of fractals has been spread over all fields of sciences, technology, and art. The properties of fractal sets are necessary to be investigated and favorable for the practical applications. This paper aims to provide an algorithm for creating multicolor symmetrical fractal pattern generator. Generator algorithm consists of base, iteration, coloration, and duplication. To help the reader better understand the algorithm, we will present some script using Matlab. We describe a mathematically based algorithm that can fill a spatial region with a sequence of randomly placed which may be transformed copies of one motif or several motifs. This flexible algorithm can be used to produce a variety of aesthetically pleasing fractal patterns, of which we show some examples. We hope that the existence of fractals can show that mathematics is not a dry and flat subject, but it is a beautiful subject and can produce works that have a high degree of art and intellectual value.
Determination of bed rock depth using joint geoelectric and HVSR methods
Authors: Yuliyanto G , Harmoko U , Widada S
Published: June 2019

To obtain hard rock (bed rock) as the pedestal of the toll road, it had been measured of the thickness of layers of soft or weathered rock that covers the bed rock. Direct measurements carried out by drilling will require a long time and great cost. Therefore, indirect measurements were made by geophysical estimation using resistivity method and were cross-checked with the HVSR method. To get the resistivity data in the research area, in this survey was conducted geoelectric sounding acquisition as much as 16 points whereas data acquisition by using microtremor measurements performed at nine measurement points. The result of the analysis of geoelectric data with HVSR data gives slightly different layer thickness value. The survey area consists of two layers of soil with soft rock layers one were suspected to be sandy silt, and silty sand whereas the soft layer 2 was sandy gravel silt, each with varying thickness. The bed rock in this area is breccia that applies as half space with the thickness is not detected by the measurement. The apparent resistivity curves were obtained from geo-electrical resistivity data have similar curves with the HVSR ones. From the inversion, the result of the bedrock depth from geo-electric resistivity compared to HVSR ones give difference slightly.
Synthesis of titanium dioxide-silica-silver composites using a base catalyst as active antibacterial compound coated on the cotton fabric
Authors: Lestari Shinta Dian , Prasetya Nor Basid Adiwibawa , Ngadiwiyana  , Ismiyarto  , Sarjono Purbowatiningrum Ria
Published: June 2019

Titanium dioxide is a photocatalyst material that can inhibit the growth of microorganisms, bacteria, and viruses. Titanium dioxide can be modified into TiO2-SiO2-Ag composites to improve the ability to inhibit the growth of microorganisms due to increased adsorption capability and bactericidal properties. Composites of TiO2-SiO2-Ag were synthesized using tetraethylorthosilicate (TEOS) precursor in the presence of NH4OH base catalyst followed by the addition of TiCL and AgNO3 precursors. Coating of composite material on the cotton fabric was carried out by eight times dying. The coated cotton fabric was tested for antibacterial ability using UV-vis spectrophotometry method and agar disc diffusion method. FTIR data showed a typical functional group of the materials composing the composite. Analysis of XRD and UV-DRS showed that the composite material was amorphous with a bandgap of 2.43 eV. Antibacterial test results showed that the TiO2-SiO2-Ag composite material was able to inhibit the growth of Escherichia coli gram-negative bacteria in liquid media and solid media by 83.76% and 99%, respectively.
Implementation of lyapunov method to analyze the stability of pompano, cantang growth and nutrition dynamical systems
Authors: Widowati  , Putro S P , Maan N , Sulpiani R
Published: June 2019

This study aims to determine the analysis stability of dynamical model of pompano, cantang growth, and nutrition on the Integrated Multi-Trophic Aquaculture (IMTA) systems by using the Lyapunov method. The analytical analysis was given to discuss the dynamic behavior of this model. Global stability analysis was performed based on the Lyapunov theory, i.e., construction the function V (x) that is a definite positive scalar function and the derivative of V (x) is defa inite negative. As a verification of the Lyapunov method, we conducted numerical simulations with data taken from IMTA systems in Sea Farming region, Kepulauan Seribu, Indonesia.
Quadratic programming model for optimal decision making of supplier selection problem integrated with inventory control problem
Authors: Hakim D U H E , Sutrisno  , Widowati
Published: June 2019

In this paper, we propose a quadratic programming model to determine the optimal decision for integrated supplier selection and inventory control. The corresponding optimization is solved by using constrained quadratic optimization method i.e. Karush-Kuhn-Tucker Method performed in LINGO 17.0 to determine the optimal joint decisions which are the optimal supplier and the optimal inventory. A numerical experiment was performed to analyze the model with a multi-product, multi-supplier, multi-carrier and multi-period inventory system. From the results we have found, we can find the optimal supplier for each product and each period.
Potential environmental pressures on water availability in Gembong reservoir in Pati District for the development of agropolitan area
Authors: Kartono  , Purwanto  , Suripin
Published: June 2019

Land-use management is the key parameter in developing an agropolitan area. The Spatial Plan of Pati District 2010-2030 contains plans for the Gembong Subdistrict to be developed into an agropolitan area. The Gembong Reservoir is one of the reservoirs in the region that has a vital role in supporting the area development. The main problem in managing the Gembong reservoir is the decreasing availability of reservoir water. Increased sedimentation affects the availability of reservoir water, which is used as a supply of irrigation areas. Management of water availability must be based on optimization analysis, because the volume of storage is limited and increasing inflow to the reservoir to increase the water level requires a long time. Therefore, the optimization model of reservoir water management is urgent to be formulated, so that the reservoir operator can be utilized to determine the allocation of supplementary water. This article presents a study of the results of observations in the field and secondary data, as well as reviews of related scientific articles, to be able to identify potential environmental stresses on reservoir water availability and its management.
Serret-Frenet Multi-Agent System with optimal control approach
Authors: Tjahjana R H , Utomo R H S
Published: June 2019

Multi-agents systems is a system consisting of several agents, from two to hundreds agents. These agents are connected to each other. The main problem is how to control such systems. This paper isnpired from some facts as follows. In nature, can be viewed animals perfom multi agent system in the land and in the air. In avionic world, can be observed that there are many cases where pilots must fly their aircrafts in some particular formation. Some ships also very often form a convoy. In smaller scales, can be viewed that there are many robot designer would like to create multi-robot system for conducting some task. In particular, this paper focuses on the robotics utilizations. That is we would like to steer the multi-agent system to go from one particular position to the other position. Moreover, the agents move in some formations is required. The first objective of this paper is to create mathematical model of multi-agent system applicable in robotic. The model would consist of Serret-Frenet control systems. The second objective is to model the performance index of the multi-agent system. Thus, we would like the multi-agent system move from one place to another and the whole group of agents works collaboratively for optimizing the performance index. This is the idea behind multi-agent control system design. The third objective is to analyze controllability the above models. The last objective is to find the optimal control of each agent. The Pontryagin Maximumm Principle is used to search this optimal control. The result of this paper, optimal control can be used to model the multi agent system Serret-Frenet system.
The characteristics of the Moore-Penrose inverse using the Drazin inverse
Authors: Mansuri F A , Udjiani SRRM T , Sutimin  , Suryoto  , Tarmizi U
Published: June 2019

In this paper, we present several new characteristics of the Moore-Penrose inverse in rings with involution. We use the concept of the Drazin inverse to build these characteristics in purely algebraic terms. We only discuss on the symmetric element of Moore-Penrose invertible.
The feed forward neural network with genetic algorithm for daily stock prediction
Authors: Dipinto R , Santoso R , Prahutama A
Published: June 2019

The power of Feed Foward Neural Network (FFNN) in conjungtion with Genetic Algorithm (GA) was applied in this research to predict daily stock price. Finance time series data has a high complexity, so that the acurate prediction is hard to be gained by standard model. Machine learning becomes the new prediction tool which is often used because of its adaptive properties. Neural Network (NN) is one of the machine learning which able to complete inference tasks such as prediction, especially in large data sets. FFNN is one of the NN models that has simple network architecture. In the standard optimization method, the initial weights is randomly selected to desire the optimum solution. But It usually raises the problem of unsteady estimation. The GA optimization method was applied in this research to overcome this lack. GA optimizes any function effectively and seeks a global optimum solution efficiently. GA implementation on the FFNN was aimed to obtain optimum weights that minimizing the error. The daily stock price prediction of PT. Adhi Karya Tbk had RMSE of training and testing data at 51.2531 and 44.8706 respectively. This result was equivalent with MAPE values at 1.5714% and 1.5501%.
Forecasting with Feed Forward Neural Network model and adaptive simulated annealing algorithm (Case: world crude oil prices that was published by OPEC)
Authors: Hanafie A , Sugito  , Sudarno  , Hakim A R
Published: June 2019

Today, crude oil trading industry became an important industry in the world, it was caused by highly fuel oil consumption. The price of crude oil has a changing price trend, it makes the prediction of crude oil in the coming periods to be challenging. Various methods can use to forecast price of crude oil, it is using ARIMA Box-Jenkins model with OLS method to estimate the parameter, but this method has several assumptions that must be complete. Overtime, many methods were develop, one of them is artificial neural network can be combine with various parameter optimization methods such as Adaptive Simulated Annealing algorithm. Adaptive Simulated Annealing algorithm is an optimization method it was inspired by the process of crystallization, the advantages of this algorithm has a running time faster than similar algorithms. The combination of artificial neural networks and Adaptive Simulated Annealing algorithms can be used to model the historical data without requiring assumptions in the analysis. Based on the analysis on this research, the best model is obtained FFNN 2-5-1 with MAPE value of 1.0042%.
Formation of stock portfolio using Markowitz method and measurement of Value at Risk based on generalized extreme value (Case study: company’s stock The IDX Top Ten Blue 2017, Period 2 January - 29 December 2017)
Authors: Situmorang R E , Maruddani D A I , Santoso R
Published: June 2019

In financial investment, investors will try to minimize risk and increase returns for portfolio formation. One method of forming an optimal portfolio is the Markowitz method. This method can reduce the risk and increase returns. The performance portfolio is measured using the Sharpe index. Value at Risk (VaR) is an estimate of the maximum loss that will be experienced in a certain time period and confidence level. The characteristics of financial data are the extreme values that are alleged to have a heavy tail and cause financial risk to be very large. The existence of extreme values can be model Generalized Extreme Value (GEV). This study uses company stock data of The IDX Top Ten Blue 2017 which forms an optimal portfolio that is a combination of TLKM and BMRI shares with the expected return rate of 0.0111 and a standard deviation of 0.01057. Portfolio performance measured by the Sharpe index is 1.6190 indicating the return obtained from investing in the portfolio above the average risk-free investment return rate of -0.01010. Risk calculation is obtained based on Generalized Extreme Value (GEV) if you invest both of these stocks with a 95% confidence level is 0.206 or 2.06% of the current assets.
Busy period density of M/

C
2
b

/1 queueing system through lattice path approach: a special case
Authors: Slamet I , Hidayati P N , Wibowo S , Zukhronah E
Published: June 2019

We consider M/

C
2
b

/ lqueueing system which is a queueing system with arrival rate follows a Poisson distribution, service rate follows an exponential distribution which is approximated by Coxian 2-phase distribution, service is performed in
b
-size, and the number of service facility is one. This paper aims to derive the properties of M/

C
2
b

/ 1 queueing system when the system is in busy pea riod using latticea path combinatorics approach. We consider a special case which is called pure incomplete busy period (PIBP) Through this approach, the queue system is represented in the form of lattice path. Furthermore, we have determined the number of lattice paths and finally, the probability function in the queue system M/

C
2
b

/ 1 in PIBP is derived.
Random forest prognostic factor in colorectal cancer
Authors: Anuraga G , Fernanda J W , Pebrianty
Published: June 2019

In developing countries such as Indonesia, colorectal cancer cases in women are the third largest after breast cancer and cervical cancer, whereas, in men, cancer ranks second after lung cancer, followed by the third is prostate cancer. This study aims to determine the factors that affect the survival of colorectal cancer patients in the city of Makassar, Indonesia. The data used in this study including colon cancer patients diagnosed first in 2012 in 4 hospitals in Makassar City and observed survival until 2015. Predictor variables consisted of comorbidity, stage of cancer, age, treatment status, the location of cancer, sex, and history of metastasis of patients with colorectal cancer. The samples used in this study were as many as 38 cancer patients. In this study, we are using random forest which is an algorithm used in data classification through tree merging by training on sample data. Random Forest also an ensemble method consisting of several decision trees as classifiers. In a nutshell, the accuracy of this models can be justified by the value of classification by Area Under Curve (AUC) equal to 50%. Moreover, the most influential variable on the survival of colorectal cancer patient is a history of metastasis of colorectal cancer patient, cancer location and gender respectively.
Robust geographically weighted regression with least absolute deviation (case study: the percentage of diarrhea occurrence in semarang 2015)
Authors: Nurhayati I C , Warsito B , Yasin H , Rusgiyono A
Published: June 2019

Diarrhea is one of many health issues in the developing country like Indonesia because the sickness and the death number are still high. According to the health profile of Semarang City, the people who suffer from diarrhea from 2010-2015 are decreasing. The lowest point happened in the year 2013 with the total case of 38.001. However, there is an increasing number from 2014-2015. The distribution data of diarrhea is spatial data. The differences between environment and sanitation could cause spatial heterogeneity. The spatial heterogeneity could cause the produced variant value no longer constant, but instead, it is different in each region. Therefore, the regression model that involves the effects of spatial heterogeneity is needed, which are Geographically Weighted Regression (GWR) that is built by Weighted Least Square (WLS) adjuster. Although, GWR parameter adjuster that used WLS is very sensitive with the existence of outliers. The existence of the outlier in the data will create a vast residual. Thus, a more robust method is needed, which is the Least Absolute Deviation (LAD) methods in order to estimate the parameter on model GWR. This model is called Robust GWR (RGWR). The result shows that the model events of diarrhea on each region in Semarang City are different. Furthermore, the model events of diarrhea with the RGWR model generate MAPE 16.3396% which means the performance of RGWR is formed well.
Credit scoring analysis using pseudo nearest neighbor
Authors: Pratiwi H , Mukid M A , Hoyyi A , Widiharih T
Published: June 2019

Credit scoring is one of the crucial task and a core responsibility for financial institutions in their risk management. This study aims to apply the pseudo nearest neighbour (PNN) method as a tool to identify which prospective borrowers are eligible for their loan proposals. If a new borrower has characteristics closer to a good historical borrower then the loan proposal is worthy to approval. But if not, the proposed loan will be refused. The historical data in this paper are credit data from a national bank in Indonesia. The characteristics of historical debtors consist of age, amount of a child, length time of business, income, loans amount, and the period of credit. The best classification of k-NN is using k = 1, because it makes the smallest error 1,89%. While the best classification of PNN is using k = 13 with the smallest error 20,75%. Based on total accuracy of classification shows that the credit classification of debtors using k-NN is more appropriate than PNN.