Miracle-dz/UniFAR-FTUs huggingface dataset:
The Surveillance of Pre-Marital Sexual Behavior in Malang, Indonesia

Adolescents are one of the age groups that need serious attention. Good or bad adolescent will have an impact on the life of the country in the future. About 4.5% of men and 0.8% of women aged 15-19 years have had premarital sexual intercourse. This study aims to determine premarital sexual behavior of adolescents who attend high school in Malang. The study design used an observational design with a cross sectional approach. This research was conducted in 2017 with a population of adolescents of high school students from urban and rural areas in Malang. The sample size was 114 students from 2 schools, which were selected by simple random sampling technique. Data were collected through filling in standardized questionnaires that had been used in the IBBS 2011. The results of the analysis showed that there were differences in premarital sexual behavior between high school students in urban and rural areas. The role of the environment is very significant, especially the supervision of parents who can act as a protective factor at the beginning of adolescent premarital sexual behavior. Keywords: Adolescent, Pre-marital behavior
Interfacing of differential-capacitive biomimetic hair flow-sensors for optimal sensitivity

Biologically inspired sensor-designs are investigated as a possible path to surpass the performance of more traditionally engineered designs. Inspired by crickets, artificial hair sensors have shown the ability to detect minute flow signals. This paper addresses developments in the design, fabrication, interfacing and characterization of biomimetic hair flow-sensors towards sensitive high-density arrays. Improvement of the electrode design of the hair sensors has resulted in a reduction of the smallest hair movements that can be measured. In comparison to the arrayed hairs-sensor design, the detection-limit was arguably improved at least twelve-fold, down to 1 mm s–1 airflow amplitude at 250 Hz as measured in a bandwidth of 3 kHz. The directivity pattern closely resembles a figure-of-eight. These sensitive hair-sensors open possibilities for high-resolution spatio-temporal flow pattern observations.
Sentiment analysis on Twitter with stock price and significant keyword correlation

Though uninteresting individually, Twitter messages, or tweets, can provide an accurate reflection of public sentiment on when taken in aggregation. In this paper, we primarily examine the effectiveness of various machine learning techniques on providing a positive or negative sentiment on a tweet corpus. Additionally, we apply extracted twitter sentiment to accomplish two tasks. We first look for a correlation between twitter sentiment and stock prices. Secondly, we determine which words in tweets correlate to changes in stock prices by doing a post analysis of price change and tweets. We accomplish this by mining tweets using Twitter’s search API and subsequently processing them for analysis. For the task of determining sentiment, we test the effectiveness of three machine learning techniques: Naive Bayes classification, Maximum Entropy classification, and Support Vector Machines. We discover that SVMs give the highest consistent accuracy through cross validation, but not by much. Additionally, we discuss various approaches in training these classifiers. We then apply our findings to on an intra-day market scale to find that there is very little direct correlation between stock prices and tweet sentiment on specifically an intra-day scale. Next, we improve on the keyword search approach by reverse correlating stock prices to individual words in tweets, finding, reasonably, that certain keywords are more correlated with changes in stock prices. Lastly, we discuss various challenges posed by looking at twitter for performing stock predictions.
Mast Cells Can Secrete Vascular Permeability Factor/ Vascular Endothelial Cell Growth Factor and Exhibit Enhanced Release after Immunoglobulin E–dependent Upregulation of Fcε Receptor I Expression

Vascular permeability factor/vascular endothelial cell growth factor (VPF/VEGF) can both potently enhance vascular permeability and induce proliferation of vascular endothelial cells. We report here that mouse or human mast cells can produce and secrete VPF/VEGF. Mouse mast cells release VPF/VEGF upon stimulation through Fcε receptor I (FcεRI) or c-kit, or after challenge with the protein kinase C activator, phorbol myristate acetate, or the calcium ionophore, A23187; such mast cells can rapidly release VPF/VEGF, apparently from a preformed pool, and can then sustain release by secreting newly synthesized protein. Notably, the FcεRI-dependent secretion of VPF/VEGF by either mouse or human mast cells can be significantly increased in cells which have undergone upregulation of FcεRI surface expression by a 4-d preincubation with immunoglobulin E. These findings establish that at least one cell type, the mast cell, can be stimulated to secrete VPF/VEGF upon immunologically specific activation via a member of the multichain immune recognition receptor family. Our observations also identify a new mechanism by which mast cells can contribute to enhanced vascular permeability and/or angiogenesis, in both allergic diseases and other settings.
RXTE observation of Cygnus X-1: Spectral analysis

Abstract We present the results of the analysis of the broad-band spectrum of Cygnus X-1 from 3.0 to 200 keV, using data from a 10 ksec observation by the Rossi X-ray Timing Explorer . Although the spectrum can be well described phenomenologically by an exponentially cut-off power law (photon index Γ = 1.45 −0.02 +0.01 , e-folding energy E f = 162 −8 +9 keV, plus a deviation from a power law that formally can be modeled as a thermal blackbody with temperature kT BB = 1.2 −0.1 +0.0 keV), the inclusion of a reflection component does not improve the fit. As a physical description of this system, we apply the accretion disc corona (ADC0 models of Dove, Wilms & Begelman [1]. A slab-geometry ADC model is unable to describe the data. However, a spherical corona, with a total optical depth τ = 1.6 ± 0.1 and an average temperature kT C = 87 ± 5 keV, surrounded by an exterior cold disc, does provide a good description of the data ( χ red 2 = 1.55). These models deviate from the data by up to 7% in the 5–10 keV range. However, considering how successfully the spherical corona reproduces the 10–200 keV data, such “photon-starved” coronal geometries seem very promising for explaining the accretion processes of Cygnus X-1.
Finite-Fault Rupture Detector (FinDer): Going Real-Time in Californian ShakeAlert Warning System

Rapid detection of local and regional earthquakes and issuance of fast alerts for impending shaking is considered beneficial to save lives, reduce losses, and shorten recovery times after destructive events (Allen et al., 2009). Over the last two decades, several countries have built operational earthquake early warning (EEW) systems, including Japan (Hoshiba et al., 2008), Mexico (Espinosa-Aranda et al., 1995), Romania (Mărmureanu et al., 2011), Turkey (Erdik et al., 2003), Taiwan (Hsiao et al., 2011), and China (Peng et al., 2011). Other countries, such as the United States (Bose, Allen, et al., 2013), Italy (Satriano et al., 2011), and Switzerland (Behr et al., 2015), are currently developing systems or evaluating algorithms in their seismic real-time networks.
Does IPR protection aect high growth entrepreneurship? A cross-country empirical examination

The objective of this paper is to determine whether a country's level of intellectual property rights (IPR) protection in‡uences high expec- tation entrepreneurship. Based on the Baumol's assumption that en- trepreneurs, as an allocatable resource, can be reallocated from one do- main to another by changing the relative pro…t prospects oered by the available economic activity vis-a-vis others, we examine whether and how IPR protection aects the local entrepreneurship prevalence. Us- ing a new entrepreneurship dataset from the Global Entrepreneurship Monitor (GEM), we undertake cross-country empirical investigation to answer the following questions: (i) does IPR protection aect the expectations of high growth entrepreneurship level; and (ii) whether a change in IPR protection aects developing and developed countries dierently. We …nd interesting results in the dierences of IPR im- pact on developed versus developing countries. Further examination is required.
Nielsen numbers and Nielsen groups

Suppose X,Y are smooth manifolds, dim X=n+m, dim Y=n, m>0 the codimension, f,g:X->Y are maps, the coincidence set C={x:f(x)=g(x)} is a compact subset of X. In case of codimension 0, the Nielsen number is the lower estimate of the number of points in this set. We suggest a generalization of the classical Nielsen theory for the coincidence and as well as the preimage problems in order to provide a framework for some recent Wecken type results for codimension 1. The Nielsen equivalence on the set of coincidence/preimage points becomes an equivalence on the bordism classes. We consider topologically and algebraically essential Nielsen classes and define higher order Nielsen numbers.
Cryptococcal Yeast Cells Invade the Central Nervous System via Transcellular Penetration of the Blood-Brain Barrier

ABSTRACT Cryptococcal meningoencephalitis develops as a result of hematogenous dissemination of inhaled Cryptococcus neoformans from the lung to the brain. The mechanism(s) by which C. neoformans crosses the blood-brain barrier (BBB) is a key unresolved issue in cryptococcosis. We used both an in vivo mouse model and an in vitro model of the human BBB to investigate the cryptococcal association with and traversal of the BBB. Exposure of human brain microvascular endothelial cells (HBMEC) to C. neoformans triggered the formation of microvillus-like membrane protrusions within 15 to 30 min. Yeast cells of C. neoformans adhered to and were internalized by the HBMEC, and they crossed the HBMEC monolayers via a transcellular pathway without affecting the monolayer integrity. The histopathology of mouse brains obtained after intravenous injection of C. neoformans showed that the yeast cells either were associated with endothelial cells or escaped from the brain capillary vessels into the neuropil by 3 h. C. neoformans was found in the brain parenchyma away from the vessels by 22 h. Association of C. neoformans with the choroid plexus, however, was not detected during up to 10 days of observation. Our findings indicate that C. neoformans cells invade the central nervous system by transcellular crossing of the endothelium of the BBB.
Skill Requirements of Contemporary Senior- and Entry-Level Logistics Managers: A Comparative Analysis

While there is little question that the logistician's role(s) and responsibilities have undergone dramatic change in recent years, managerial skills and knowledge remain the foundation of effective and efficient logistics management. With this in mind, this article uses Poist's (1984) BLM (Business, Logistics, Management) framework to compare skill requirements for senior-and entry-level logistics managers. The article reports findings from a survey of U.S.-based search firms that engage in the recruitment and placement of managers in logistics, transportation, supply chain management, and related fields. Consistent with previous research based on the BLM framework, results from the present study indicate that management skills are most important for both senior-and entry-level managers, followed in order by logistics skills and business skills. Having said this, the study finds strong differences between senior- and entry-level personnel within the business, logistics, and management components of the BLM framework.
Robust stability analysis of linear systems with time-varying delay and nonlinear perturbations

The robust stability of uncertain linear systems with a single time-varying delay is investigated by employing a descriptor model transformation and a decomposition technique of the delay term matrix. The uncertainties under consideration are nonlinear perturbations and norm bounded uncertainties, respectively. The proposed stability criteria are formulated in the form of a linear matrix inequality. Numerical examples are presented to indicate significant improvements over some existing results.
An Exploratory Study on Mental Illness Perspectives in Hanoi

Almost 12 million people in Vietnam have been diagnosed with a mental illness; the prevalence of mental illness within the population means that understanding how people perceive it. Previous research has demonstrated the negative impacts that stigma and negative perceptions of mental illness have and how they can inhibit individuals from seeking treatment for a mental illness. The aim of this exploratory study was to answer the question: How do Vietnamese university students and mental health professionals living in Hanoi perceive mental illness? Fifteen university students and five mental health professionals were interviewed in a series of semi-structured interviews. A mixed-methods approach was used in the analysis of data, interviews were transcribed and the coded using content analysis, in addition to using a contextsensitive method of analyzing qualitative data from responses. The results of the study reveal trends of lingering stigmatization of mental illness among university students in Hanoi. The stigmatization is possibly related to the cultural context and values of Vietnamese society such as Traditional medicine, lack of awareness, and Confucian values. The results of the interviews with the mental health professionals coincide with the perspectives many of the students have. It is not that Vietnamese culture needs to undergo drastic changes to decrease stigmatization, but increased understanding will clarify how it currently matches existing cultural values.
Neuronal and Vascular Oxidative Stress in Alzheimer’s Disease

The brain is a highly metabolically active organ producing large amounts of reactive oxygen species (ROS). These ROS are kept in check by an elaborate network of antioxidants. Although ROS are necessary for signaling and synaptic plasticity, their uncontrolled levels cause oxidation of essential macromolecules such as membrane lipids, nucleic acids, enzymes and cytoskeletal proteins. Indeed, overproduction of ROS and/or failure of the antioxidant network lead to neuronal oxidative stress, a condition associated with not only aging but also Alzheimer’s disease (AD). However, the specific source of excessive ROS production has not yet been identified. On one hand, amyloid beta (Aβ) has been extensively shown to act as an oxidant molecule. On the other hand, oxidative stress has been shown to precede and exacerbate Aβ pathology. This review will address the involvement of oxidative stress in the context of neuronal as well as vascular dysfunction associated with AD.
Evaluating the Effect of Photo-Aging on Brightness Property of Soda Paper Produced from Bagasse

This study was done in order to investigate the brightness property of soda paper produced from Bagasse. The paper samples were wetted using chelating agent of EDTA (Ethylene Diamine Tetra acetic Acid) in various concentration levels. This process neutralizes available metallic ions in paper samples. After drying wetted samples with EDTA, they are wetted again by solutions containing transitional metal ions. For accelerating aging tests, a simulated apparatus was used for accelerated light induced aging tests. 6 UV lamps of Black Light and 4 regular fluorescent lamps . The output frequency of photo-aging was in range of 300 to 400 nm. Light induced treatments were implemented in time spans of 0, 10, 20, 30 and 40 hours. All measurements were done on the basis on TAPPI standard. The obtained results demonstrated that increasing concentration of the chelating agent will decrease brightness of the samples significantly, whereas their brightness was increased significantly by extending the aging time. Results revealed that the most prevalent effect on decreasing of brightness property was associated with Fe 2+ ions while the least considerable one was related to ions of Zn 2+
An adaptive predistorter for wireless LAN RFSoC with embedded PA and T/R switch in 55nm CMOS

We present an adaptive predistortion system for a WLAN transceiver in 55nm CMOS. The forward DSP path utilizes complex gain predistortion while the APD module in the feedback path computes AMAM and AMPM coefficients by comparing ideal transmit signal with the distorted signal from the receiver. This module operates with various calibration signals generated on-chip in addition to TX data. Measurement results show improvement of EVM by 1dB with the proposed approach. Improvement of P1dB of more than 3dB was obtained using fully automatic processing. The total solution utilizes 120k gates.
Thighrim and Calf-Life: A Study of the Conversion of Off-the-Shelf Video Games into Exergames

Exergames are a fun and engaging way to participate in physical activity. Exergame users consistently require new content to maintain interest in the activity. One way to provide users with high quality content with minimal development work is to convert existing off-the-shelf digital games into exergames by using the game's "modding" interface. To explore the potential of converted exergames for inspiring high exertion levels we performed a conversion on two popular games: Half-Life 2 and The Elder Scrolls V: Skyrim. The conversions were performed in two stages. The first stage mimics existing conversion techniques and a second stage provides added incentive for players to reach higher exertion levels. A study of 18 participants found that the resulting games support anti-sedentary levels of exertion while falling slightly below national recommendations for cardiovascular exercise. Adding exercise to the games did not affect players' enjoyment.
Unified YouTube Video Recommendation via Cross-network Collaboration

The ever growing number of videos on YouTube makes recommendation an important way to help users explore interesting videos. Similar to general recommender systems, YouTube video recommendation suffers from typical problems like new user, cold-start, data sparsity, etc. In this paper, we propose a unified YouTube video recommendation solution via cross-network collaboration: users' auxiliary information on Twitter are exploited to address the typical problems in single network-based recommendation solutions. The proposed two-stage solution first transfers user preferences from auxiliary network by learning cross-network behavior correlations, and then integrates the transferred preferences with the observed behaviors on target network in an adaptive fashion. Experimental results show that the proposed cross-network collaborative solution achieves superior performance not only in term of accuracy, but also in improving the diversity and novelty of the recommended videos.
The Impact of Mixed Electoral Representation on Economic Growth: The Case of the Italian Regions

A recent issue in political economy is studying how different institutional systems influence economic performance. This work enriches the scarce empirical literature concerning the effects of mixed electoral systems on economic growth. We estimate a quadratic relationship between the Gallagher proportionality index of an electoral system and the per capita GDP growth using the electoral results of the regional Committee in Italy where in 1995, the mixed electoral representation has been introduced. Our finding is that an intermediate level of proportionality characterizing an electoral rule is more likely to lead to greater rates of economic growth with respect to more “extreme” rules. Moreover, we verified that the way in which corruption affects regional growth depends on the proportionality of the electoral system.
Burnout Levels of Jordanian Teachers of English in Ajloun Province

تهدف الدراسة الى الكشف عن مستويات الاحتراق النفسي التي يعاني منها معلمو اللغة الإنجليزية في الاردن, وبيان أثر متغيرات الجنس ومستوى المدرسة وسنوات الخبرة والمؤهل وحجم الصف على مستوى الاحتراق النفسي. وقد تكونت عينة الدراسة من معلمي اللغة الانجليزية في مديرية التربية والتعليم لمحافظة عجلون. وقد استخدم الباحثان معيار ماسلاك للاحتراق النفسي أداة للدراسة. وقد وجد أن معلمي اللغة الانجليزية في محافظة عجلون يعانون بشدة من الاحتراق النفسي. وقد وجد كذلك أنه لا توجد فروق دالة تعزى لأي من المتغيرات المستقلة للجنس أو الخبرة أو المؤهل أو حجم الصف; بينما وجد أن هناك فروقا دالة تعزى الى مستوى المدرسة في المرحلة الاساسية الدنيا.
A nanoflare model for active region radiance: application of artificial neural networks

Context. Nanoflares are small impulsive bursts of energy that blend with and possibly make up much of the solar background emission. Determining their frequency and energy input is central to understanding the heating of the solar corona. One method is to extrapolate the energy frequency distribution of larger individually observed flares to lower energies. Only if the power law exponent is greater than 2 is it considered possible that nanoflares contribute significantly to the energy input. Aims. Time sequences of ultraviolet line radiances observed in the corona of an active region are modelled with the aim of determining the power law exponent of the nanoflare energy distribution. Methods. A simple nanoflare model based on three key parameters (the flare rate, the flare duration, and the power law exponent of the flare energy frequency distribution) is used to simulate emission line radiances from the ions Fe XIX ,C aXIII ,a nd Siiii, observed by SUMER in the corona of an active region as it rotates around the east limb of the Sun. Light curve pattern recognition by an Artificial Neural Network (ANN) scheme is used to determine the values. Results. The power law exponents, α ≈ 2.8, 2.8, and 2.6 are obtained for Fe XIX ,C aXIII ,a nd Siiii respectively. Conclusions. The light curve simulations imply a power law exponent greater than the critical value of 2 for all ion species. This implies that if the energy of flare-like events is extrapolated to low energies, nanoflares could provide a significant contribution to the heating of active region coronae.
Molecular Characterization of Giardia duodenalis and Cryptosporidium parvum in Fecal Samples of Individuals in Mongolia

The Giardia and Cryptosporidium species are widespread and frequent diarrhea-related parasites affecting humans and other mammalian species. The prevalence of these parasites in Mongolia is currently unknown. Therefore, we performed molecular analyses of G. duodenalis and C. parvum in stool samples from 138 patients hospitalized with diarrhea in Mongolia using nested polymerase chain reaction (PCR). A total of 5 (3.62%) and 7 (5.07%) fecal samples were positive for G. duodenalis and C. parvum, respectively. Giardia duodenalis and C. parvum infections were prevalent in children < 9 years of age. The assemblage-specific fragment patterns for the β-giardin gene of G. duodenalis revealed that all five samples testing positive belonged to Assemblage A by the PCR-restriction fragment polymorphism method. For sequencing and phylogenetic analysis of the 18S rDNA and HSP70 genes of all seven patients testing positive the genes were further identified to be of the C. parvum bovine genotype. This study is the first to report the prevalence of G. duodenalis and C. parvum and its molecular characterization of fecal samples from individuals with diarrhea in Mongolia.