Miracle-dz/UniFAR-FTUs huggingface dataset:
A STUDY OF SYMPTOM SCORE AND LIPID PROFILE IN SUBCLINICAL HYPOTHYROIDISM BEFORE AND AFTER THYROXINE SUPPLEMENTATION

Hypothyroidism is the most common form of thyroid disorder with a broad range of clinical spectrum. Sub clinical hypothyroidism (SH) is the mildest form of the disease in which a few if any non-specific symptoms and/or lipid abnormalities are present. The effect of SH on lipid profile is controversial. [1,2] Elevation of total and LDL cholesterol is observed. SH is associated with subtle abnormalties in myocardial contractility, depression, sub fertility and ovalutary dysfunction. Thyroid replacement in SH is associated with improvement in above mentioned symptoms. This study was carried out to analyse symptom score and lipid profile in patients with SH before and after treatment with L-thyroxine.
An Effective Hard Thresholding Method Based on Stochastic Variance Reduction for Nonconvex Sparse Learning

We propose a hard thresholding method based on stochastically controlled stochastic gradients (SCSG-HT) to solve a family of sparsity-constrained empirical risk minimization problems. The SCSG-HT uses batch gradients where batch size is pre-determined by the desirable precision tolerance rather than full gradients to reduce the variance in stochastic gradients. It also employs the geometric distribution to determine the number of loops per epoch. We prove that, similar to the latest methods based on stochastic gradient descent or stochastic variance reduction methods, SCSG-HT enjoys a linear convergence rate. However, SCSG-HT now has a strong guarantee to recover the optimal sparse estimator. The computational complexity of SCSG-HT is independent of sample size n when n is larger than 1/ε, which enhances the scalability to massive-scale problems. Empirical results demonstrate that SCSG-HT outperforms several competitors and decreases the objective value the most with the same computational costs.
Links between Vitamin D deficiency and diabetes-associated macrovasculopathy

South East Asia Journal of Public Health 2015;5(2):4-6 © 2015 Rahman & Majumder, publisher and licensee Public Health Foundation Bangladesh. This is an Open Access article which permits unrestricted non-commercial use, provided the original work is properly cited. DOI: http://dx.doi. org/10.3329/seajph.v5i2. 28306 In the editorial of the current issue of the South East Asia Journal of Public Health, Brown et al. highlighted the effects of Vitamin D deficiency and pros and cons of using Vitamin D supplementation to treat the deficiency. In this editorial, the links between Vitamin D deficiency and diabetes-associated macrovasculopathy will be discussed. Research has linked inadequate Vitamin D status to macrovascular diseases in Type 2 diabetes (T2DM). The key aspects of pathophysiology that explains the link between Vitamin D deficiency and macrovasculopathy include: pancreatic β-cell dysfunction, peripheral insulin resistance, chronic inflammation, and endothelial dysfunction. Diabetic macrovasculopathy is associated with structural and functional changes in large arteries, which causes endothelial dysfunction, increased arterial stiffness, or decreased arterial distensability. However, there remains a paucity of large long-term randomized clinical trials showing link between Vitamin D deficiency and macrovasculopathy in T2DM patients.
Effect of extraction temperature on physicochemical constituents and antioxidant potentials of Pu-erh tea

Of all the various types of tea that are available, Pu-erh tea has attracted much attention because of its healthpromoting effects. The objective of this study was to investigate the physicochemical and antioxidant properties of two types of Pu-erh tea, Gushu Pu-erh and typical Pu-erh, extracted at 80 and 100oC, respectively. The Gushu Pu-erh extracts showed lower pH but higher antioxidant potential at both the temperatures, as compared to the typical Pu-erh. The mineral content of the tea extracts was greater at 100oC than at 80oC. Among the seven categories of the flavor compounds that were detected, the peak area of esters was the highest in the Gushu Pu-erh extracts. The type of tea and the extraction temperature significantly affected the physicochemical and functional properties of these tea extracts. This study revealed that Gushu Pu-erh extracted at 100oC for 3 min with 30 s of shaking provides better results in terms of the antioxidant potential and mineral content.
Optical Simulation of Laue Crystal Diffraction with New Experiments on Diffraction

Crystallography is a fascinating subject and an argument of great importance in the study of structure of matter and fundamental physics. Moreover, many characteristics of crystals, as well as other organic and inorganic substances, are analyzed with x-ray diffraction. In order to introduce at a basic level the above mentioned subjects, and also interference and diffraction of wave light, here we present some simple and new inexpensive optical experiments, analogous to the Laue diffraction of x-rays and electrons. We also propose an elementary geometric model to explain the two-dimensional pattern of diffractions by grating.
Removal of azithromycin from wastewater using advanced oxidation processes (UV/H2O2) and moving-bed biofilm reactor (MBBR) by the response surface methodology (RSM)

Antibiotics are among the major concerns in terms of environmental control due to their cumulative properties, adverse health effects on humans, and development of drug resistance. The present study aimed to investigate the efficiency of the combination of UV/H2O2 and moving-bed biofilm reactor (MBBR) systems in the removal of azithromycin from aqueous solutions using the response surface methodology (RSM). In the UV/H2O2 process, a low-pressure mercury vapor lamp with the power of eight Watts, wavelength of 254 nanometers, and intensity of 1.02 mw/cm2 was used to determine the effects of pH, azithromycin concentration, hydrogen peroxide concentration, and contact time on the removal efficiency of azithromycin. According to the obtained results, the highest removal efficiency in the UV/H2O2 process was obtained with the azithromycin concentration of 2 mg/l. Therefore, 2 mg/l of azithromycin was selected as the optimal concentration with the highest removal efficiency. Following that, the optimal concentration of azithromycin was injected into the MBBR reactor. In the combined process of UV/H2O2 and MBBR, the highest removal efficiency of azithromycin was 91.2%. Therefore, it could be concluded that the combined system of UV/H2O2 and MBBR had the highest efficiency in the removal of azithromycin from aqueous solutions.
DETERMINATION OF ELF WAVE CHARACTERISTICS MOST STRONGLY REACTING TO MINOR CHANGES OF IONOSPHERIC ELECTRON DENSITY IN A HIGH-LATITUDE REGION

In this paper, we use numerical experiment methods to address the problem of determining characteristics of ELF (0.3–3 kHz) electromagnetic waves recorded in the surface layer and providing the maximum amount of information about the Earth–ionosphere waveguide. We have analyzed the effect of the horizontal spatial structure of electron density of the Earth–ionosphere waveguide on propagation of electromagnetic waves. We have identified characteristics that allow us to record them by instrumental methods in conditions of weakly disturbed ionosphere. The density profiles used in numerical experiments have been obtained from data acquired by the Partial Reflection Radar at the Polar Geophysical Institute, located at the radiophysical observatory Tumanny in the Murmansk Region (69.0° N, 35.7° E), and by the IRI2016 model during the March 15, 2013 solar flare and the subsequent magnetic storm on March 17, 2013. The electromagnetic signal propagation model used in this work is the adaptation of gas-hydrodynamic methods to electrodynamic applications. The model is based on the scheme of upwind approximation of spatial derivatives (Godunov’s method with correction of streams). We also use splitting by spatial directions and physical processes. Signal field attenuation due to conductivity and its rotation due to Hall conductivity of the medium are considered in separate splitting steps by analytical formulas.
PENERAPAN MULTI-OBJECTIVE OPTIMIZATION ON THE BASIS OF RATIO ANALYSIS (MOORA) METHOD DALAM MENGEVALUASI KINERJA GURU HONORER

The role of the teacher is very important in the learning process, also advancing the world of education. Because the quality of the teacher becomes a very important aspect, teachers must have competencies that comply with national education standards in order to perform their duties and roles with competency standards that can lead learners to Human beings with knowledge and ability. According to the guidebook for the selection of high achieving teachers, the selection of high achieving teachers to increase the motivation of teachers to improve their professionalism. The selection of outstanding teachers starts from the education unit, Regency/City, province to National. On the basis of why. The government appreciates outstanding teachers as outlined in RI Law No. 14 of 2005 concerning Teachers and Lecturers article 36 paragraph (1) which says that "Teachers who excel, are exceptionally dedicated, and can help in special areas receive awards". One form of appreciation given to outstanding teachers is to help in the promotion of position. The first step is to look for supporting data as mandated by the National Education Minister's Regulation No. 16 of 2007 on the academic qualification standard and the teacher competency standard, then the requirements used in Competency assessment of this teacher in accordance with pedagogic competence, competence, social, and professional competence and each criterion has a sub criteria. The data obtained were further analyzed using the Multi-Objective Optimization Ratio Analysis (MOORA) method used to determine the highest score or the highest teacher award value based on what was determined by the ranking process. With the final goal this method can be used as a solution to problems in improving the performance of honorary teachers.
Topological structures in rough set theory: A survey

Rough set theory provides a mathematical tool to study vague, imprecise, inconsistent and uncertain knowledge. The topological notions are closely related to the notions and results of rough set theory, so the conjoint study of rough set theory and topology becomes essential. Researchers have widely discussed the topological aspects and their applications in rough set theory. This study highlights the inter dependencies of topology and classical rough set theory and the significant work done in this area during the last twenty years.
Regional context and realization of fertility intentions: are capitals differente? The examples of Austria and Hungary

Despite regional variation in fertility, within-country differences have hardly been addressed in the realm of realizing fertility intentions. We address this shortcoming by analyzing the realization of short-term fertility intentions in Austria and Hungary, comparing data from the capitals (Vienna and Budapest) to the remaining regions. Results demonstrate that realization is lower in Hungary than in Austria and lower in Vienna than in the remaining parts of Austria, whereas in Hungary, behavior tends to be similar in the capital and other regions. Apart from individual characteristics (e.g. age), housing turned out to matter for realization of short-term fertility intentions in both countries. Decomposition analyses reveal that population composition plays a role in differences concerning the realization between countries and at the regional level. Compositional effects refer to partner context, parity and economic situation at the country level, and to age structure, partner context and attitudes towards parenthood at the regional level. In both countries, housing conditions also contribute to differences in realization rates between capitals and other regions.
High within‐stream replication is needed to predict litter fluxes in wet–dry tropical streams

Streams draining forested landscapes are fuelled by terrestrial plant litter, which can be transported downstream or retained and broken down locally. However, fluxes of plant litter in streams can vary at multiple spatio‐temporal scales, affecting the availability of this key resource in heterotrophic stream food webs. To explore this question we quantified several processes related to litter dynamics (i.e. litter inputs, storage, losses by transport and losses by breakdown) by sampling litter at multiple sites in three streams of the Brazilian Cerrado biome (which has a tropical wet–dry climate) for 2 years. We assessed the relative contribution of different spatial (among and within streams) and temporal scales (annual, seasonal and monthly) to total variability of these processes (hereafter fluxes). Spatial and temporal variability of fluxes were both high, but spatial variation was 1.67‐fold greater than temporal variation (61 versus 37%, respectively), especially at the within‐stream scale (50% overall); an exception was litterfall, which varied less spatially than temporally (24 versus 76%). Temporal variation of litter storage (and hence availability to consumers) was mostly seasonal and due to differences in net transport. Inputs and transport were higher in the wet than the dry season (wet versus dry season, 1.45 versus 0.92 and 1.43 versus 0.06 g litter m⁻² day⁻¹), while breakdown was similar between both seasons (0.88 versus 0.94 g litter m⁻² day⁻¹). Storage (i.e. accumulation) rate was positive and negative in the dry and wet season, respectively, indicating that litter was stored in the dry season and exported in the wet season. The transitional dry–wet season showed the highest inputs, breakdown and storage (3.21, 1.63 g litter m⁻² day⁻¹ and 145 g litter m⁻²), while the wet–dry season showed lower inputs (as in the dry season), higher transport (as in the wet season) and lower breakdown and storage than the other seasons (0.93, 0.65, 0.31 g litter m⁻² day⁻¹ and 24 g litter m⁻²). Our results underscore the role of variation in biophysical drivers of litter fluxes within streams (e.g. pool–riffle configuration, substrate features, biological communities), and suggest that high within‐stream replication is necessary to study litter fluxes at larger scales and over time. The seasonal patterns suggested potential changes in litter dynamics under future climate scenarios in the tropics, including increased storage due to reduced transport in a drier climate.
A Self-Timed Voltage-Mode Sensing Scheme With Successive Sensing and Checking for STT-MRAM

In Spin-Transfer Torque Magnetic Random Access Memory (STT-MRAM), the most commonly used timing scheme for conventional Voltage-mode Sense Amplifier (VSA) is the global activated timing. Obviously this method cannot obtain the optimal yield because different bit-cells have its sensing latency respectively. This paper proposes a self-timed voltage-mode sense scheme named ST-VSS which can enable optimal timing depending on the bit-cell discharging ability. Two circuit structures are proposed: The single SA structure uses a multiplexer at the input of the SA. Its successive sensing operations are implemented with input offset flipping. A dual SA structure is reconfigured by built-in-self-test (BIST) method to the opposite offset states to monitor sensing results from each other. The sensing operation can be immediately terminated after successful reading. The proposed ST-VSS is applied to a 32bits/word MRAM using 28-nm CMOS process. Simulation results show that the successful sensing rate across a wide range of voltages can be improved, comparing with the conventional scheme. The single SA structure obtains 32%~42% yield improvement, costs 44.1%/26.9%/19.3% energy, and brings 8.3%/5.8%/2.9% layout area penalty in 128/256/512 column depth, respectively. The dual SA structure gets 54%~65% yield improvement, costs 66.2%/38.6%/27.5% energy, and brings 26.4%/13.8%/7.1% area penalty in 128/256/512 column depth conditions, respectively.
The Sustainability in the Industry of Green Apparel: Are We Ready?

---The fashion industry is the biggest contributor to social and environmental problems starting with the manufacturing process to the consumers’ disposal behavior. Generally, in Malaysia people are aware of environmental issues but the level of practices and attitudes towards environmental protection are still below expectation. The purpose of this study is to examine the factors that hinder the sustainable design and production and environmentally friendly clothing. The qualitative study design was selected using in-depth interview techniques. There were six persons comprising of clothing industry experts and lecturers from the fashion field were selected as respondents in this study. The findings indicated that factors that interfere with the design and production of sustainable clothing are materials, prices, awareness and individual responsibility. These factors were seen to impact on consumer purchasing, fashion decisions and consumer clothing production. Moreover, the implications of this study may be recommended to all stakeholders in the field of apparel in order to apply sustainability in apparel and sustainability in education to the younger generation. Therefore, the next generation need to realize the importance and responsibility of caring and protecting the environment, especially in the field of fashion, in order to adopt sustainable consumer behaviour and producing sustainable manufacturers.
Critical meta-analysis of the diagnostic criteria employed for the sonography (US) diagnosis of lymph node metastasis in the melanoma patient

Poster: "ECR 2011 / C-0992 / Critical meta-analysis of the diagnostic criteria employed for the sonography (US) diagnosis of lymph node metastasis in the melanoma patient" by: "O. Catalano1, A. Nunziata2, F. Sandomenico3, S. V. Setola1, A. Gallipoli D'Errico1; 1Naples/IT, 2Ercolano/IT, 3Napoli/IT"
Visible light responsive Bi2S3-graphene/TiO2 nanocomposites: one pot-hydrothermal synthesize and improved photocatalytic properties

Abstract Herein, we obtained chemically bonded Bi2S3-Graphene/TiO2 composites using a facile one pot-hydrothermal method. During the hydrothermal reaction, both of the reduction of graphene oxide to graphene and loading of Bi2S3 and TiO2 particles on graphene nanosheet were achieved. The resulting composites are characterized by X-Ray diffraction (XRD), Raman spectroscopy and Transmission Electron Microscopy (TEM). The optical properties are studied using UV–visible diffuse reflectance spectroscopy (DRS), which confirms that the spectral responses of the composite catalysts are extended to the visible light region. The dramatically enhanced activity of Bi2S3-Graphene/TiO2 composite photocatalysts can be attributed to great adsorptivity of dyes, extended light absorption range, and efficient charge separation properties, simultaneously. This work may provide new insights into the design of novel composite photocatalysts system with efficient visible light activity.
Full Genome-Based Classification of Rotaviruses Reveals Common Origin

Laboratory of Clinical & Epidemiological Virology, Department of Microbiology & Immunology, 7 Rega Institute for Medical Research, University of Leuven, Leuven, Belgium 1 ; Vaccine & 8 Biologics Clinical Research, Merck & Co., Inc., North Wales, Pennsylvania 19454, USA 2 ; 9 Laboratory of Infectious Diseases, National Institutes of Allergy and Infectious Diseases, 10 National Institutes of Health, Bethesda, Maryland 20892 3 ; Environment and Biotechnology 11 Centre, Faculty of Life and Social Sciences, Swinburne University of Technology, Hawthorn, 12 Victoria, Australia 4 ; Enteric Virus Unit, Virus Reference Department, Centre for Infections, 13 Health Protection Agency, London, United Kingdom 5 ; Laboratory of Virology, ICDDR,B: 14 Mohakhali, Dhaka-1212, Bangladesh 6 15 16
Quantifying the association between discrete event time series with applications to digital forensics

We consider the problem of quantifying the degree of association between pairs of discrete event time series, with potential applications in forensic and cybersecurity settings. We focus in particular on the case where two associated event series exhibit temporal clustering such that the occurrence of one type of event at a particular time increases the likelihood that an event of the other type will also occur nearby in time. We pursue a non‐parametric approach to the problem and investigate various score functions to quantify association, including characteristics of marked point processes and summary statistics of interevent times. Two techniques are proposed for assessing the significance of the measured degree of association: a population‐based approach to calculating score‐based likelihood ratios when a sample from a relevant population is available, and a resampling approach to computing coincidental match probabilities when only a single pair of event series is available. The methods are applied to simulated data and to two real world data sets consisting of logs of computer activity and achieve accurate results across all data sets.
Using elastic net restricted kernel canonical correlation analysis for cross-language information retrieval

Abstract Kernel methods, which are a non-linear variant of linear methods, are used to increase the flexibility and allow to examine non-linear relationships by linear methods. The conventional solution of the restricted kernel canonical correlation analysis problem has a major drawback, it solves the problem in a reasonable time frame only for problems with few variables. We successfully overcame this limitation by implementing the method with the alternating least-squares algorithm. This allowed us to apply the method to cross-language information retrieval problem on a big dataset. We compared the results to other established methods and they were encouraging.
An Analysis &Measurement ofWebsite Quality Using The WebQual 4.0 And Importance Performance Analysis (IPA) Method (A Case Study Of Jagalempenivillage Brebes)

Based on the Law of the Republic of Indonesia number 6/2016 on villages that are obliged to develop village information systems in running e-government towards good governance. In Indonesia, e-government continues to increase, but not accompanied by quality, including the website of Jagalempeni Village. This study measures the quality of Jagalempeni Village website using Webqual 4.0 method and Importance Performance Analysis (IPA) with 4 (four) instruments, namely Quality Utility, Information Quality, Service Interaction Quality and Visual Quality. This research is descriptive with quantitative approach. The data of 122 questionnaires and processed with SPSS software. The result of measurement and measurement shows that the website of Jagalempeni Village website is 96.63%, and the average negative gap is -0.12, which means that the performance level of Jagalempeni Village website is still not satisfactory and user expectation on Service Quality Interaction. The main priorities that need to be fixed immediately and improved are the attributes of websites that have a good and precise reputation, input and expression for promptly promised delivery. The results of this study using the website of Jagalempeni Village to make improvements and development in order to become a quality for good governance.