Miracle-dz/UniFAR-FTUs huggingface dataset:
Distribution Information Based Intuitionistic Fuzzy Clustering for Infrared Ship Segmentation

This paper presents a distribution information based intuitionistic fuzzy clustering method for infrared ship segmentation. The algorithm could effectively suppress the influences of nontarget objects with high intensity and intensity inhomogeneity in the infrared ship images. There are mainly two improvements in this paper. First, it proposes a fuzzy clustering algorithm incorporating global distribution information of ship targets in the form of the Gaussian model. The spatial information, along with intensity, is used to exert different effects on different classes. Second, an intuitionistic fuzzy clustering way is incorporated into the process of ship segmentation, which combines the intensity distribution information of the local region. The intuitionistic fuzzy distance and local intensity distribution information would help in solving the problem of intensity inhomogeneity and blurring edges. Experiment results on the dataset containing 200 infrared ship images indicate the superiority of the proposed method compared with other state-of-the-art methods.
CLINICAL PRESENTATION, DIAGNOSIS AND TREATMENT OF PULMONARY FUNGUS BALL RELATED TUBERCULOSIS

Fungus Ball paru merupakan komplikasi yang sering terjadi pada Tuberkulosis (TB) paru dengan kavitas, terutama pada bekas TB paru. Agen penyebab selain Aspergilus sp yaitu Candida sp. Terapi definitif untuk penyakit ini adalah terapi bedah. Pada kondisi khusus dapat digunakan tatalaksana lainnya. Penelitian ini mengevaluasi 6 pasien Fungus Ball paru dengan riwayat obat anti tuberkulosis, dengan beberapa metode diagnosis dari tahun 2010 sampai 2013. Tatalaksana dan hasil pengobatan pasien dianalisis pada penelitian ini. Hemoptisis terdapat pada seluruh pasien dan tiga diantaranya dengan hemoptisis masif. Semua pasien memiliki gambaran yang khas untuk Fungus Ball paru dari radiologi toraks. Spesies jamur terkonfirmasi pada 5 pasien: pemeriksaan serologis (1), kultur jamur (2) dan pemeriksaan histopatologi (2). Spesies yang didapatkan adalah Aspergilosis sp = 3, Candida paraspilosis = 1 dan Candida sp = 1. Dua pasien mendapatkan terapi bedah dengan tidak adanya keluhan hemoptisis setelah itu. Empat pasien yang hanya mendapatkan anti jamur, ternyata 75% memberikan respon yang baik secara klinis dan radiologis. Kavitas yang menetap pada TB paru dan bekas TB paru, dapat menimbulkan insiden Fungus Ball paru yang membutuhkan lobektomi sebagai terapi definitif. Pada kondisi tertentu dimana terapi pembedahan tidak dapat dilakukan, anti jamur dapat menjadi terapi alternatif dan memberikan hasil yang baik.
Laying Egg Production Supplemented with Antioxidants: An Economical View

A 112-day experiment was conducted to economically evaluate the production of eggs from commercial layers submitted to diets supplemented with levels of plant extracts (dried turmeric powder) added or not to vitamin E. A total of 432 20-week-old white layers were used, distributed in an entirely randomized design, in a 4 × 3 factor scheme (turmeric extract levels and vitamin E levels), with 6 repetitions of 6 birds per cage. The treatments consisted of four levels of turmeric extract inclusion (0; 0.1%; 0.2% and 0.3%) and three levels of vitamin E inclusion (0; 50 and 100 IU/kg). The results calculated at work were favorable to the activity, and the items that most influenced the expenses in the effective production cost were: poultry, feed and labor, respectively. The best economic response in egg production was obtained by layers that consumed 100 IU/kg vitamin E and 0.2% turmeric; because the leveling point represents that the activity equals the revenues with the costs. The best profitability index was found in treatment that contained 50 IU/kg vitamin E and 0.1% turmeric com (16.78%).
European Multiscale Simulation for the Computational Era Multi-scale Modelling for Devices and Circuits European Prospects for Multi-scale Modelling Dear Readers

This E-Nano newsletter issue contains the main outputs of the EU funded MULT.EU. SIM project i.e. the report " Multi-scale modelling for devices and circuits " and the project survey on " Status And Prospects Of Multiscale Modelling In The European Union ". MULT.EU. SIM principal aim has been to gather the simulation research community in Europe to establish a joint vision of multiscale modelling and simulation. This should enable to prepare Europe to play a leading role in the opening era of computational sciences where multiscale simulation will profoundly change the scientifi c and technological practices. foreword The following report Multiscale Modelling for Devices and Circuits is in line with the purpose of the MULT.EU. SIM (European Multiscale Simulation for the Computational Era) FP7 support action (www.phantomsnet.net/MES). The main aim of this collective project coordinated by the CEA (France), is to provide the European Commission with a joint vision of multiscale modelling and simulation state-of-the-art and prospects. This European vision will serve as the foundation for a joint effort with emphasis toward multiscale unifi ed codes and standardized interfaces and workfl ows in a fi eld that is currently very fragmented. The MULT.EU. SIM consortium will provide the EC with a constructed case allowing it to decide whether or not to launch a proactive initiative in the particular fi eld of ICT nanosystems. The horizon is to dispose of predictive simulation tools that will allow the design of new devices bypassing most of the fabrication test runs, thereby accelerating the pace of development while at the same time sharply reducing costs. The MULT.EU. SIM joint vision will emphasize the necessity of integrated multiscale workfl ows to model nanosystems from fi rst principles to the fi nal product. It will propose a research strategy of which salient points are the optimization of computational resources, multidisciplinary and academia-industry (developer-end user) collaboration, and coordination at the European level. In the overall EU strategy for furthering key enabling technologies 1 (nanotechnology, micro-and nanoelectronics, advanced materials, photonics, industrial biotechnology, etc), several initiatives have already been implemented to foster simulation methods. On the subject of nanotechnology and more precisely nanoelectronics, the development of an integrated multiscale modelling environment for nanomaterials and systems has been made an objective of the 2013 call in the NMP 2 work-program. The EC is also an active partner in the ENIAC joint undertaking 3 which goal is to implement a joint technology initiative on nanoelectronics …
COGNITION AND ACTION

When viewing one object move after being struck by another, humans perceive that the action of the #rst object caused the motion of the second, not that the two events occurred independently. Although established as a perceptual and linguistic concept, the neuronal bases of causality perception are unknown. $erefore, eye movements of human observers are measured while viewing a display in which a launcher impacts a tool to trigger the motion of a second “reaction” target. EEG recordings and single neuron recordings will be performed to better understand how causality perception emerges from neuronal activities.
Energy contribution of NOVA food groups and socio-demographic determinants
of ultra-processed groups among adults in Terengganu, Malaysia

The Malaysian Nutrition Research Priorities for Malaysia’s 11th Plan noted the necessity to investigate in depth the consumption of ultra-processed food among the Malaysian population. No empirical research has focused on exploring the energy contribution of ultra-processed foods and the socio-demographic determinants of ultra-processed foods. Thus, this study was conducted to investigate the relationship between the increasing consumption of ultra-processed foods with socio-demographic factors particularly in Terengganu, Malaysia. This cross-sectional study provides a novel approach to quantifying energy contribution of 200 adults (living in Terengganu; aged 18 to 59 years) based on the ultra-processed food classification named as NOVA, via semi-quantitative Food Frequency Questionnaire, and to determine the association between energy contribution of ultra-processed foods and socio-demographic characteristics. The selfadministered questionnaire consists of three sections: socio-demographic profile, frequency of ultra-processed food consumption and energy contribution of NOVA food groups. All data were analysed using SPSS version 21. The findings show that the contribution of ultra-processed foods among respondents was lower (40.38%) compared to unprocessed and minimally processed foods (55.73%). The most frequent consumed ultraprocessed foods were noodles and fried chicken (fast food). Meanwhile, the least frequently consumed foods included frozen chicken pie and garlic spread. There were significant associations between the energy contribution of ultra-processed foods and marital status, educational level, monthly household income and occupational status meanwhile there was no significant association between age and gender at p<0.05. This study provides the first comprehensive assessment of ultra-processed foods consumption using NOVA classification via semi-quantitative FFQ in Malaysia.
Scalable Computing: Practice and Experience

Hadoop YARN is an Apache Software Foundation’s open project that provides a resource management framework for large scale parallel data processing, such as MapReduce jobs. Fair scheduler is a dispatcher which has been widely used in YARN to assign resources fairly and equally to applications. However, there exists a problem of the Fair scheduler when the resource requisition of applications is beyond the amount that the cluster can provide. In such a case, the YARN system will be halted if all resources are occupied by ApplicationMasters, a special task of each job that negotiates resources for processing tasks and coordinates job execution. To solve this problem, we propose an automatic and dynamic admission control mechanism to prevent the ceasing situation happened when the requested amount of resources exceeds the cluster’s resource capacity, and dynamically reserve resources for processing tasks in order to obtain good performance, e.g., reducing makespans of MapReduce jobs. After collecting resource usage information of each work node, our mechanism dynamically predicts the amount of reserved resources for processing tasks and automatically controls running jobs based on the prediction. We implement the new mechanism in Hadoop YARN and evaluate it with representative MapReduce benchmarks. The experimental results show the effectiveness and robustness of this mechanism under both homogeneous and heterogeneous workloads.
Evaluation of passive transfer, apparent efficiency of absorption and health in dairy calves

Calves are born without preformed antibodies and are dependent on colostrum to acquire passive transfer of immunity from their mother. Failure of passive transfer (FPT) is a contributing factor to increased calf mortality and morbidity, and hence of economic importance to the producer. The level of passive transfer (PT) is associated with future health and productivity even in adult age. Several factors that influence the level of passive transfer in the calf are well studied, especially the importance of colostrum quality. The role of efficiency of absorption in the calf is less well understood. The aim of this study was to determine serum immunoglobulin G (S-IgG) by an enzyme-linked Immunosorbent assay (ELISA) newly established in our lab, estimate apparent efficiency of absorption (AEA) of 803 calves from two Swedish farms and investigate how they affected calf health and FPT. An ELISA protocol was established in our laboratory to determine S-IgG concentration of 700 calves at 2-7 days of age and AEA was calculated. The ELISA S-IgG values were correlated to serum total protein (STP) measured by an optic refractometer (n=224) with r=0.75 (p<0.0001) for Spearman´s rank correlation coefficient. Despite a good correlation, the ELISA was likely to overestimate S-IgG concentration and this probably affected the proportion of FPT. Proportion of FPT was clearly lower than previous study partly using the same samples (De Haan, 2018). The FPT for Lovsta was found to be 9.5% and for Robacksdalen 30.4%, compared to previously 16% and 44.7%, respectively. AEA range and mean of the farms were very similar, but there was a greater difference in mean S-IgG between the farms. Mean AEA of calves classified in our study to have FPT was significantly lower than the total average AEA of calves from the same farm. Surprisingly, both mean S-IgG concentration and AEA were significantly lower for healthy calves than unhealthy calves. This comparison included only calves from Lovsta, which had relatively few and mild cases of illness. Robacksdalen did not have sufficient data available to be included. Birth weight and amount of IgG fed first meal were not significantly correlated to AEA in this study.
LIFECYCLE MANAGEMENT, MONITORING AND ASSESSMENT FOR SAFE LARGE-SCALE INFRASTRUCTURES: CHALLENGES AND NEEDS

Abstract. Many European infrastructures dating back to ’50 and ’60 of the last century like bridges and viaducts are approaching the end of their design lifetime. In most European countries costs related to maintenance of infrastructures reach a quite high percentage of the construction budget and additional costs in terms of traffic delay are due to downtime related to the inspection and maintenance interventions. In the last 30 years, the rate of deterioration of these infrastructures has increased due to increased traffic loads, climate change related events and man-made hazards. A sustainable approach to infrastructures management over their lifecycle plays a key role in reducing the impact of mobility on safety (over 50 000 fatalities in EU per year) and the impact of greenhouse gases emission related to fossil fuels. The events related to the recent collapse of the Morandi bridge in Italy tragically highlighted the sheer need to improve resilience of aging transport infrastructures, in order to increase the safety for people and goods and to reduce losses of functionality and the related consequences. In this focus Structural Health Monitoring (SHM) is one of the key strategies with a great potential to provide a new approach to performance assessment and maintenance over the life cycle for an efficient, safe, resilient and sustainable management of the infrastructures. In this paper research efforts, needs and challenges in terms of performance monitoring, assessment and standardization are described and discussed.
The compound, diallyl disulfide, enriched in garlic, prevents the progression of doxorubicin-induced nephropathy

Nuclear factor erythroid 2-related factor 2 (Nrf2) is an important regulator of cellular resistance to oxidants; it controls the basal and induced expressions of an array of antioxidant response element (ARE)-dependent genes to regulate physiological and pathophysiological outcomes of oxidant responses. Nrf2 is translocated to nuclei when it is released from its repressive cytosolic protein, Kelch-like ECH-associated protein 1 (Keap1), and activates genes encoded with various antioxidant and phase OO enzymes such as heme oxygenase (HO)-1, NADPH quinone oxidoreductase 1 (NQO1) and glutathione S-transferase (GST) (Jaramillo & Zhang, 2013; Ma, 2013). Nrf2 and its downstream genes play very critical roles against oxidative stress and inflammation of the kidneys (Aminzadeh et al., 2013; Pedruzzi et al., 2012). For instance, HO-1, which was critically reviewed in kidney diseases, provides a host defense mechanism, protects against oxidative stress, and contributes to renal protective activity (Nath, 2006).
Customer satisfaction in gourmet food trucks: Exploring attributes and their relationship with customer satisfaction

ABSTRACT Gourmet food trucks (GFTs) have emerged as a new and unique restaurant segment with attributes of service similar to quick service restaurants and attributes of food quality similar to fine dining restaurants. Despite their popularity, little research exists on attributes of GFTs associated with customer satisfaction. This study investigated traditional restaurant attributes, including food quality, service quality, ambiance (physical environment), price/value, convenience, and brand personality, and their relationship to customer satisfaction in GFTs. Results indicated that price/value, service quality, physical environment, and brand personality had a significant positive relationship with customer satisfaction, while interestingly, food quality and convenience did not.
Personality Classification based on Facebook status text using Multinomial Naïve Bayes method

Psychological research shows that the way people write is influenced by their personalities. Words that are often used can describe someone’s personality. Facebook is one of the social networking sites for users to express themselves. User status posts can be used to identify the user’s personality. To find out the personality of a person based on the statuses they write on Facebook use text classification techniques using Multinomial Naive Bayes method. The language is English. The test result shows that accuracy increases after reducing the number of word variations and variations of prior probability values. The accuracy obtained by using stemming in the preprocessing process is 59.9% and using uniform prior increases 0.3%.
An Optimization Tool to Design a Coreless Non-Linear Injection Kicker Magnet

Top-up injection into low emittance light sources is challenging due to their inherent small dynamic apertures. The use of a multipole-magnet injection kicker (e.g. a pulsed quadrupole or sextupole) enables to kick the injected bunch while the circulating beam remains undisturbed. However, the injected bunch is mismatched due to the focusing effect and the effective phase space required to capture it increases. Non-linear injection kicker magnets can produce a transverse step-like magnetic field distribution which prevents this mismatch. It is crucial to maximize the spatial derivative of this field distribution in order to kick the injected bunch inside the dynamic aperture. For the standard configurations of straight conductors the resulting clear aperture is typically too small, so we have developed an optimization tool to determine constrained current distributions required to generate a desired magnetic field. With it we obtained new design solutions for possible coreless injection kicker magnets that overcome the clear aperture limitation of the standard designs. We present an example for the injection into SLS-2.
Optimization of Heavy-Ion Synchrotrons Using Nature-Inspired Algorithms and Machine Learning

The application of machine learning and nature-inspired optimization methods, like for example genetic algorithms (GA) and particle swarm optimization (PSO) can be found in various scientific/technical areas. In recent years, those approaches are finding application in accelerator physics to a greater extent. In this report, nature-inspired optimization as well as the machine learning will be shortly introduced and their application to the accelerator facility at GSI/FAIR will be presented. For the heavy-ion synchrotron SIS18 at GSI, the multi-objective GA/PSO optimization resulted in a significant improvement of multi-turn injection performance and subsequent transmission for intense beams. An automated injection optimization with genetic algorithms at the CRYRING@ESR ion storage ring has been performed. The usage of machine learning for a beam diagnostic application, where reconstruction of space-charge distorted beam profiles from ionization profile monitors is performed, will also be shown. First results and the experience gained will be presented.
BIOCHEMICAL PROFILE AND VARIOUS TREATMENT MODALITIES OF PATIENTS WITH NON-ALCOHOLIC STEATOHEPATITIS (NASH)

1 Consultant Physician, JK Health Services 2 Senior Resident Department of Pathology, GMC Jammu, JK India *Corresponding Author Dr Ritu Bhagat R/O Bandhu Rakh Kunjwani, Jammu (J&K) Pin 180010, India Email: drvkatil76@gmail.com, Mobile 919419965435 Abstract Introduction: Non-alcoholic fatty liver disease (NAFLD) is an increasingly recognized condition that may progress to end stage liver disease. Aim: The objective is to study the biochemical profile and various treatment modalities in patients of nonalcoholic steatohepatitis (NASH). Material and Methods: The present study was carried out on 60 patients of NASH over a period of one year at Pathology Department of GMC, Jammu which is a tertiary care centre. All patients with NASH were screened for various risk factors associated with NASH. Detailed history was taken and thorough clinical examination was done. Results: out of 60 patients, 28(46.66%) were males and 32(53.32%) were females. 85% of the patients were in the age group of 31-70 years. Conclusion: In the present study it was found that obesity, hyperlipidemia and diabetes mellitus were significantly associated with the NASH.
Microfundamentos de una Regla de Política Monetaria, Regla de Poole [Microfundaments of a Monetary Policy Rule, Poole's Rule]

El marco de la politica monetaria de muchos paises se desarrolla bajo un esquema de metas de inflacion (Inflation Targeting Framework), lo cual plantea que un banco central fija la tasa de interes. La conocida Regla de Taylor, es la regla de politica monetaria aplicado en la evidencia empirica para la modelacion de mecanismos de transmision de un Banco Central. Los microfundamentos en terminos Log-lineales son consistentes en linea con Kranz (2015), sin embargo paises como: China, Nigeria, Bolivia, Yemen, Suriname, entre otros, se encuentran bajo un marco distinto, control de la oferta monetaria (el FMI lo define como Monetary Aggregate Target). La Regla de MacCallum propuesta en los 80´s seria la mas apropiada para describir los mecanismos de transmision de la politica monetaria en este tipo de economias. Pero en la presente investigacion se opto por fundamentar una regla de politica monetaria distinta a las convencionales. Gracias al aporte de William Poole en 1970, nuestra Regla de Politica explica que la oferta monetaria reacciona al comportamiento de cinco (5) variables: brecha del producto, brecha de la tasa de interes, tasa de interes observada, expectativas del producto y de la inflacion; por lo cual denominamos a este instrumento la Regla de Poole. A traves de un Modelo de Equilibrio General Dinamico Estocastico (DSGE) comprobamos si dicha regla es apropiada para economias bajo un esquema diferente de Inflation Targeting Framework.