Miracle-dz/UniFAR-FTUs huggingface dataset:
The Prevalence of Iron Deficiency and the Associated Factors in Children Aged 6-59 Months in Central Equatoria State, Juba- South Sudan

The general objective of this study was to determine the prevalence of iron deficiency and the associated factors in children aged 6-59 months in south Sudan’s Central Equatoria state in Juba. A cross-sectional study was conducted among 243 children in the period between August and September 2012 to assess the nutritional and iron status of the children using anthropometric measurements. The iron status was determined by measuring Haemoglobin concentration using a hemocue and the values represented as severe, moderate and or mild. The average house hold size was found to be 8.5 with 78.2% of the households in a monogamous marriage. Up to 43.4% of the respondents had completed secondary school, and 11.2% were illiterate. Findings showed that 79.7% of the children had low HB levels with a mean Hb of 9.6g/dl. The prevalence of severe anemia was 4.1%, moderate 51.2% and mild anemia 24.4%. The prevalence of wasting was 10.5% while underweight was 15.4% of whom 4.6% were severely underweight while 10.8% were mildly underweight. Most of the children in the study were introduced to complementary foods as early as 4 months of age with Exclusive breastfeeding practiced by only 22.3%, although 92.1% of the children were given the first milk (colostrum). 57.7% of the complementary food used was cereal porridge, (21.6%) milk, (15.8%) soup, (2.1%) juice, and 2.1%) used water as the first food introduced to their babies. 97% of the children had received the full immunization recommended for their ages. 57.3% of the surveyed children reported to have experienced one or more signs of illness in the past two weeks preceding the survey date with diarrhea and cough ranking the highest with a prevalence of 22.7% each. 97.8% of the households consumed cereals as the main food and fruits the least consumed.
A STUDY OF GESTALT PROBLEMS IN COMPLETED AND INTERRUPTED TASKS

I. The topic for discussion (p. 365). 11. The U-C test (pp. 366-9). (1) Description of test (pp. 366-7). (2) Reversibility of the tasks (pp. 367-8). (3) The order of recall (pp. 368-9). (4) The injluence of repeated testing (p. 369). 111. Ezperimental controls of the U-C effect (pp. 369-79). (1) Type of material (pp. 369-70). (2) Injluence of attention (p. 370). (3) Shock effect (pp. 370-1). (4) Voluntary remembering (p. 372). (5) Interesting and uninteresting tasks (pp. 373-4). (6) Obliwiscence and reminiscence (pp. 374-5). (7) Foreknowledge o f the sequence o f tasks (pp. 375-6). (8) Fatigue (pp. 376-7). (9) Dependency on duration of task (pp. 377-8). (10) Dependency on dz$iculty of task (p. 378). (11) Dependency upon the affective conditions of the subjects ofthe experi-
EAI Endorsed Transactions on Energy Web and Information Technologies Research

In this modern world where the technology has spread rapidly and the inception of cell phones, computers and also the rate at which internet is being used has increased in all fields both commercial, financial and also individuals. The above said inception is a boon but the users are facing dangerous challenges. Hence phishing and information pilfering which are done through spams and deceptive emails. This kind of spams and deceptive emails could lead to great losses for institutions like financial and similar ones. It is understood that in the beginning it is very difficult to judge or trace the modesoprandi of these hackers. To ascertain this cryptic methods of phishing attacks can be effectively done only by developing a particular software thereby safe guard the users. To pick out and detect the operation methods of hackers, the researcher uses the Data Mining process where a number of datamining tools, which analysis the data are used. This learning, basically is Data Miming process and the informations are taken out through different outlets and sources.
Characterizing soft error rates of 65-nm SOTB and bulk SRAMs with muon and neutron beams

This paper comparatively discusses soft error immunity of silicon on thin BOX (SOTB) SRAM and conventional bulk SRAM presenting neutron- and muon-induced soft error rates (SER) in 65-nm 6T SRAM over a wide range of supply voltages. The results show that the neutron-induced multiple cell upset (MCU) rates of SOTB at 0.4 V and 1.0 V are 0.01 times and 0.003 times lower than those of bulk at 0.4 V and 1.0 V, respectively. In advanced bulk low-voltage SRAM, protons can be dominant secondary particles, which brings drastic SER elevation, but this will not arise in SOTB SRAM due to its thin SOI layer. We also characterized the immunity to positive and negative muons. We observed negative muon induced more upsets due to muon capture process. We also confirmed that SOTB SRAM was more robust to muon than bulk SRAM.
School Location and Student Travel Analysis of Factors Affecting Mode Choice

This study is the first to examine the relationship between mode of travel to school and the full range of factors that might affect mode choice. With data from Gainesville, Florida, a multinomial logit model was estimated to explain school mode choice for a sample of K-12 students. Students with shorter walk or bike times to school proved significantly more likely to walk or bike. If confirmed through subsequent research, this finding argues for neighborhood schools serving nearby residential areas. Students traveling through areas with sidewalks on main roads were also more likely to walk. If confirmed, this finding argues for "safe routes to school" sidewalk improvements. As noteworthy as the significant factors are those that did not prove significant. School enrollment was not significant after controlling for travel time between home and school. Larger schools may draw students from larger areas and thereby indirectly affect mode choices. But school size does not appear to have a direct effect on mode choices. Land use variables such as density and mix also were not significant. The travel behavior literature emphasizes the importance of such variables in travel decision making. Apparently, school trips are different. They tend to be unlinked to other activities, and thus reduce the need for proximity to other land uses. They are mandatory; thus the walking environment may be less important than it is with discretionary travel. And school trips involve children, who may be less sensitive to walking conditions than are their adult counterparts.
Faktor Lingkungan dan Perilaku terhadap Kejadian Demam Tifoid

Abstrak Demam tifoid di Kota Semarang, khususnya wilayah kerja Puskesmas Ngaliyan tahun 2016 sebesar 423 kasus dan meningkat 57,5% di tahun 2017 sebesar 736 kasus. Tujuan penelitian ini untuk mengetahui faktor yang paling berhubungan dengan kejadian demam tifoid di wilayah Kerja Puskesmas Ngaliyan. Penelitian ini dilaksanakan pada bulan Juli 2018. Jenis penelitian yang digunakan adalah analitik observasional dengan rancangan penelitian kasus kontrol. Sampel sebesar 34 kasus dan 34 kontrol dengan teknik purposive sampling. Instrumen menggunakan kuesioner dan lembar observasi. Data dianalisis menggunakan uji chi square dan regresi logistik dengan perangkat SPSS. Hasil penelitian menunjukkan ada hubungan antara perilaku jajan di rumah makan (p=0,006), perilaku jajan di pedagang kaki lima (p=0,001), dan kebiasaan cuci tangan dengan sabun sebelum makan (p=0,029) dengan kejadian demam tifoid di Wilayah Kerja Puskesmas Ngaliyan. Variabel yang berkontribusi kuat untuk menduga kejadian demam tifoid adalah perilaku jajan di pedagang kaki lima (p=0,008). Simpulan penelitian, terdapat hubungan antara perilaku jajan di rumah makan dan pedagang kaki lima, serta kebiasaan cuci tangan dengan sabun sebelum makan dengan kejadian demam tifoid. Abstract Typhoid fever in the city of Semarang, especially in the work area of Ngaliyan Health Center 2016 by 423 cases and increased 57.5% in 2017 of 736 cases. The aim of this study is to determine factors were the most associated with the incidence of typhoid fever in Ngaliyan Health Center. This research was carried out in July 2018 and unmatched case control study. Samples were 34 cases and 34 controls using purposive sampling technique. The instrument used a questionnaire and observation sheet. Data were analyzed with chi square test and logistic regression with SPSS. Results showed there were relationship between snacking behavior in restaurant (p=0,006), snacking behavior in street vendors (p=0,001), and the habit of washing hands with soap before eating (p=0,029) with the incidence of typhoid fever. Variable was the most contributed is snacking behavior in street vendors (p=0,008). Conclusions of the study, there was a relationship between snack behavior in restaurants, street vendors, and washing hands with soap habits before eating with the incidence of typhoid fever.
Pneumocephalus after Epidural Anesthesia

We present case report of a patient who developed Pneumocephalus after epidural anaesthesia for labor pain. A 39 year old female presented to our Emergency Department with severe headache. Few days prior she had normal vaginal delivery aided by epidural anaesthesia. Brain CT scan showed Pneumocephalus which was treated conservatively. Epidural anaesthesia is commonly used in patients having labor pain. It is one of the safe procedures if performed by expert hands and with proper equipment. One of the very uncommon complication and rarely reported is Pneumocephalus which should alert a physician in case of persistent headache following the procedure.
The maximum principle for degenerate parabolic PDEs with singularities

(1) Ut + F(Du, D 2u) = 0 inn X (0, T). Here and in what follows n is a domain of RN' T > 0 is a given constant, u represents the real unknown function on n X (0, T) and F is a real function on RN X sN, where sN denotes the set of real N X N symmetric matrices. Recent developments have revealed that equations (1) with F having singularities or discontinuities are important in the study of generalized evolutions of hypersurfaces, especially, in the level set approach. Chen, Giga and Goto [3] and Evans and Spruck [5] initiated the level set approach, on a firm mathematical basis, to evolutions of hypersurfaces driven by their mean curvature or by some other geometric quantitives alike. In the case of evolution by mean curvature, F turns out to be
Incorporating population dynamics into household models of infectious disease transmission

Most household models of disease transmission assume static household distributions. Although this is a reasonable simplification for assessing vaccination strategies at a single point in time or over the course of an outbreak, it has considerable drawbacks for assessing long term vaccination policies or for predicting future changes in immunity. We demonstrate that household models that include births, deaths and movement between households can show dramatically different patterns of infection and immunity to static population models. When immunity is assumed to be life-long, the pattern of births by household size is the key driver of infection, suggesting that the influx of susceptibles has most impact on infection risk in the household. In a comparison of 12 countries, we show that both the crude birth rate and the mean household size affect the risk of infection in households. © 2011 Elsevier B.V. All rights reserved.
Substrate orientation effect on potential fluctuations in multiquantum wells of GaAs∕AlGaAs

The photoluminescence (PL) technique as a function of temperature and excitation intensity was used to study the optical properties of multiquantum wells (MQWs) of GaAs∕AlxGa1−xAs grown by molecular beam epitaxy on GaAs substrates oriented in the [100], [311]A, and [311]B directions. The asymmetry presented by the PL spectra of the MQWs with an apparent exponential tail in the lower-energy side and the unusual behavior of the PL peak energy versus temperature (blueshift) at low temperatures are explained by the exciton localization in the confinement potential fluctuations of the heterostructures. The PL peak energy dependence with temperature was fitted by the expression proposed by Passler [Phys. Status Solidi B 200, 155 (1997)] by subtracting the term σE2∕kBT, which considers the presence of potential fluctuations. It can be verified from the PL line shape, the full width at half maximum of PL spectra, the σE values obtained from the adjustment of experimental points, and the blueshift maximum values t.
Spatial scale and evolutionary history determine the degree of taxonomic homogenization across island bird assemblages

It is widely documented that human activities have elevated the extirpation of natural populations as well as the successful introduction to new areas of non‐native species. These dual processes of introduction and extirpation can change the similarity of communities, but the direction and magnitude these changes take are likely to depend on the manner in which introductions and extirpations occur, the spatial scale at which the changes are measured, and the initial similarity of the communities before the human‐induced drivers occurred. Here, we explore patterns of extirpation and introduction and their influence on the similarity of global oceanic island bird assemblages from four different Oceans (Atlantic, Caribbean, Indian, Pacific). We show that different historical patterns of introduction and extirpation have produced varying trends in compositional similarity both between islands within archipelagos and between islands across different archipelagos within the same ocean. Patterns of bird assemblage convergence (i.e. taxonomic homogenization) or divergence (i.e. taxonomic differentiation) among islands depended on the scale of examination, the evolutionary associations among species of the region, and the cultural history of human colonization. These factors are all likely to be leading to a series of multiple interacting processes that are shaping the complex compositional changes observed among global island bird faunas over time.
Correlation Properties of (Discrete) Fractional Gaussian Noise and Fractional Brownian Motion

The fractional Gaussian noise/fractional Brownian motion framework (fGn/fBm) has been widely used for modeling and interpreting physiological and behavioral data. The concept of 1/f noise, reflecting a kind of optimal complexity in the underlying systems, is of central interest in this approach. It is generally considered that fGn and fBm represent a continuum, punctuated by the boundary of “ideal” 1/f noise. In the present paper, we focus on the correlation properties of discrete-time versions of these processes (dfGn and dfBm). We especially derive a new analytical expression of the autocorrelation function (ACF) of dfBm. We analyze the limit behavior of dfGn and dfBm when they approach their upper and lower limits, respectively. We show that, as H approaches 1, the ACF of dfGn tends towards 1 at all lags, suggesting that dfGn series tend towards straight line. Conversely, as H approaches 0, the ACF of dfBm tends towards 0 at all lags, suggesting that dfBm series tend towards white noise. These results reveal a severe breakdown of correlation properties around the 1/f boundary and challenge the idea of a smooth transition between dfGn and dfBm processes. We discuss the implications of these findings for the application of the dfGn/dfBm model to experimental series, in terms of theoretical interpretation and modeling.
Computer Vision Problems in Plant Phenotyping , CVPPP 2018

Plant phenotyping is the identification of effects on the phenotype (i.e., the plant appearance and behavior) as a result of genotype differences (i.e., differences in the genetic code) and the environment. Previously, the process of taking phenotypic measurements has been laborious, costly, and time consuming. In recent years, non-invasive, image-based methods have become more common. These images are recorded by a range of capture devices, from small embedded camera systems to multi-million Euro smart-greenhouses, at scales ranging from microscopic images of cells, to entire fields captured by UAV imaging. These images need to be analyzed in a high throughput, robust, and accurate manner. UN-FAO statistics show that according to current population predictions we will need to achieve a 70% increase in food productivity by 2050, simply to maintain current global agricultural demands. Phenomics – large-scale measurement of plant traits – is a key bottleneck in the knowledge-based bioeconomy, and machine vision is ideally placed to help [12]. However, the challenges arising differ the from usual tasks addressed by the computer vision community, due to the requirements posed by this application scenario. Dealing with these new problems has spawned specialized workshops such as Computer Vision Problems in Plant Phenotyping (CVPPP) and the stand-alone workshop IAMPS (Image Analysis Methods for the Plant Sciences) now in its fifth year. CVPPP is regularly held in conjunction with top CV conferences (ECCV 2014, BMVC 2015, ICCV 2017). This year CVPPP returns to BMVC. The goal of this workshop is to not only present interesting computer vision solutions, but also to introduce challenging computer vision problems in the increasingly important plant phenotyping domain, accompanied with benchmark datasets and suitable performance evaluation methods. Together with the workshop, permanently open challenges are addressed: the leaf counting (LCC) and leaf segmentation challenges (LSC) (see https://competitions.codalab. org/competitions/18405 and https://www.plant-phenotyping.org/datasets-home). In the following we briefly describe the papers received in the main call. Papers and extended abstracts can be downloaded from the workshop website (https://www.plant-phenotyping. org/CVPPP2018-programme).
GLP-1 RECEPTOR AGONISTS : EFFECTS ON NONALCOHOLIC FATTY LIVER DISEASE

CONTENTS ORIGINAL RESEARCH ARTICLES STANDARDIZATION OF HbA1c IN CROATIA 2004-2013 M. Vučić Lovrenčić, D. Juretić, Z. Flegar-Meštrić, Ž. Metelko . 3 THE ROLE OF METABOLIC SYNDROME IN PATIENTS WITH ACUTE MYOCARDIAL INFARCTION M. Mornar Jelavić, Z. Babić, H. Pintarić . 11 GLP-1 RECEPTOR AGONISTS: EFFECTS ON NONALCOHOLIC FATTY LIVER DISEASE T. Bulum, K. Blaslov, A. Pavić Ljubičić, L. Duvnjak . 21 VUK VRHOVAC UNIVERSITY CLINIC, ZAGREB, DAMA DIABETOLOGY ALUMNI MEDICAL ASSOCIATION
Playing Right – from the End . Basics and Application of Retro Sequential Practice ( RSP )

In everyday life musicians of all genres and levels are faced with multiple challenges practicing their instruments: mastering difficult passages, increasing tempi, improving metric/rhythmic precision, expanding or memorizing repertoire, sight-reading.etc. Related sciences, particularly from the fields of skill development, motor and language learning, showed that these tasks heavily depend on the automatization of the musician’s motor and cognitive skills. Therefore most methods suggest start practicing in lower tempi – usually from the beginning of the musical piece, section or phrase. Nevertheless, sometimes even the most effortful and ambitious practice seems to leave the learning process ineffective and the musical skills unstable. Consequently, Retro Sequential Practice (RSP) draws some attention as a musical practice method trying to approach those problems more successfully by focusing on the primary automatization of the terminal sequences of a musical object and its stepwise (sequential) backward oriented elongation. It is argued that RSP optimizes the musical learning effect by conclusively aligning instrumental practice according to neurophysiological and neuropsychological facts, conditions and phenomena. The conference participants get introduced to the RSP method, gaining insights to its basic features, its main principles of operation and the current state of development. Furthermore the talk will discuss differences and possible advantages of RSP in comparison to anterograde practice methods. Moreover, the examples of some empiric findings should emphasize the interrelation of musical fluency and design of practice, general physical/psychological conditions and a perhaps mal-estimation of the practicing results. Finally, since there is surprisingly no scientific research or study on RSP so far, the presentation seeks to encourage the scientific community as well as musicians of all levels and genres to direct some attention to a continuative academic support, practical integration and further procedural improvement of the promising method of RSP. ATINER CONFERENCE PAPER SERIES No: ART2012-0179 6 Contact Information of Corresponding author: Dr. Frank Liebscher Mathildenstr.16 04277 Leipzig Germany
Ju n 20 05 Algebraic and information-theoretic conditions for operator quantum error-correction

Operator quantum error-correction is a technique for robustly storing quantum information in the presence of noise. It generalizes the standard theory of quantum error-correction, and provides a unified framework for topics such as quantum error-correction, decoherence-free subspaces, and noiseless subsystems. This paper develops (a) easily applied algebraic and information-theoretic conditions which characterize when operator quantum error-correction is feasible; (b) a representation theorem for a class of noise processes which can be corrected using operator quantum error-correction; and (c) generalizations of the coherent information and quantum data processing inequality to the setting of operator quantum error-correction.
Present and Long-Term Composition of MSW Landfill Leachate: A Review

The major potential environmental impacts related to landfill leachate are pollution of groundwater and surface waters. Landfill leachate contains pollutants that can be categorized into four groups (dissolved organic matter, inorganic macrocomponents, heavy metals, and xenobiotic organic compounds). Existing data show high leachate concentrations of all components in the early acid phase due to strong decomposition and leaching. In the long methanogenic phase a more stable leachate, with lower concentrations and a low BOD/COD-ratio, is observed. Generally, very low concentrations of heavy metals are observed. In contrast, the concentration of ammonia does not decrease, and often constitutes a major long-term pollutant in leachate. A broad range of xenobiotic organic compounds is observed in landfill leachate. The long-term behavior of landfills with respect to changes in oxidation-reduction status is discussed based on theory and model simulations. It seems that the somewhere postulated enhanced release of accumulated heavy metals would not take place within the time frames of thousands of years. This is supported by a few laboratory investigations. The existing data and model evaluations indicate that the xenobiotic organic compounds in most cases do not constitute a major long-term problem. This may suggest that ammonia will be of most concern in the long run.