Miracle-dz/UniFAR-FTUs huggingface dataset:
Exploring and Correcting for Nonresponse Bias Using Follow-ups of Non Respondents

This article is primarily intended as a critique of "The Use of Potential Nonrespondents for Studying Nonresponse Bias," a paper prepared for this journal by R. A. Ellis, C. M. Endo, and J. M. Armer (Ellis et al., 1970). The author assumes that the purpose of sample surveys is to estimate population parameter values while minimizing the effect of nonresponse bias. It is argued that data from successive cumulative response waves may be used to compute corrected parameter values by using a linear regression. Most researchers have learned from experience that it is virtually impossible to obtain replies from every person in large sample surveys. Ellis et al. (1970) emphasize the crucial importance of minimizing error due to nonresponse. When respondents differ from nonrespondents statistics based on responses alone often do not validly depict the population investigated and may result in predictions which are inaccurate,
Oral health status, salivary factors and microbial analysis in patients with active gastro-oesophageal reflux disease.

AIM To present a complex oral health status including salivary factors, microbial analysis and periodontal and hygiene indices in patients with active gastro-oesophageal reflux disease (GORD). Return of stomach contents is quite common in cases of gastro-oesophageal reflux. Pathological acid movement from the stomach into the oesophagus and oral cavity may lead to a development of dental erosion. Long-lasting untreated GORD may damage hard dental and periodontal tissues and alter the oral microbial environment. The quality and amount of the saliva play an important role in hard and soft oral tissues changes. METHOD Fifty patients with diagnosed GORD using 24-hour pH manometry underwent dental examination; 24 patients had active GORD and had been waiting for surgical therapy. In this patient group oral health status and salivary analysis were evaluated. RESULTS Indicated low salivary flow rates and buffering capacity with a low caries risk but a high risk for dental erosion progression.
mTOR Signaling Regulates Nucleolar Targeting of the SUMO-Specific Isopeptidase SENP3

ABSTRACT Ribosome biogenesis is a multistep cellular pathway that involves more than 200 regulatory components to ultimately generate translation-competent 80S ribosomes. The initial steps of this process, particularly rRNA processing, take place in the nucleolus, while later stages occur in the nucleoplasm and cytoplasm. One critical factor of 28S rRNA maturation is the SUMO-isopeptidase SENP3. SENP3 tightly interacts with the nucleolar scaffold protein NPM1 and is associated with nucleolar 60S preribosomes. A central question is how changes in energy supply feed into the regulation of ribosome maturation. Here, we show that the nutrient-sensing mTOR kinase pathway controls the nucleolar targeting of SENP3 by regulating its interaction with NPM1. We define an N-terminal domain in SENP3 as the critical NPM1 binding region and provide evidence that mTOR-mediated phosphorylation of serine/threonine residues within this region fosters the interaction of SENP3 with NPM1. The inhibition of mTOR triggers the nucleolar release of SENP3, thereby likely compromising its activity in rRNA processing. Since mTOR activity is tightly coupled to nutrient availability, we propose that this pathway contributes to the adaptation of ribosome maturation in response to the cellular energy status.
t‐SNARE dephosphorylation promotes SNARE assembly and exocytosis in yeast

The role of protein phosphorylation in secretion is not well understood. Here we show that yeast lacking the Snc1,2 v‐SNAREs, or bearing a temperature‐sensitive mutation in the Sso2 t‐SNARE, are rescued at restrictive conditions by the addition of ceramide precursors and analogs to the growth medium. Rescue results from dephosphorylation of the Sso t‐SNAREs by a ceramide‐activated type 2A protein phosphatase (Sit4) involved in cell cycle control. Sso t‐SNARE dephosphorylation correlated with its assembly into complexes with the Sec9 t‐SNARE, both in vitro and in vivo, and with an increase in protein trafficking and secretion in cells. SNARE complexes isolated under these conditions contained only Sso and Sec9, suggesting that a t–t‐SNARE fusion complex is sufficient to confer exocytosis. Mutation of a single PKA site (Ser79 to Ala79) in Sso1 resulted in a decrease in phosphorylation and was sufficient to confer growth to snc cells at restrictive conditions. Thus, modulation of t‐SNARE phosphorylation regulates SNARE complex assembly and membrane fusion in vivo.
Modeling and control of aggregated Super-Capacitor Energy Storage system for wind power generation

Wind power fluctuations that have adverse impacts on power quality are becoming more serious as wind energy reaches higher level of penetration. This paper focuses on the control design of super-capacitor energy storage system (SCES) which serves for the whole wind farm. The control method of the aggregated SCES is proposed for smoothing medium frequency wind power fluctuations and maintaining wind farm terminal voltage. A modified SCES controller is studied including active and reactive power decoupled control, double-loop control of bidirectional buck-boost converter and super-capacitor voltage management. Design of the control loops are discussed based on the SCES small-signal model. The effectiveness of the control strategy is validated by simulation in PSCAD/EMTDC.
Looking at comercial premises market for sale in Cordoba

For the study of the progress of the municipality’s local economy is highly important the knowledge of its real estate market, and especially, the commercial premises and industrial warehouses market of supply. A high dynamism of this market clearly reflects an active economy. In this paper, we present an overview of the commercial premises market in the city of Cordoba, in Spain. We analyse a lot of characteristics, such as, total price, price per square meter or the situation on the street and the geographical position. The supply evolution has also been analysed between November 1st, 2016 and May 1st, 2017, based on the data included in the real estate portal Idealista.com.
RECENT ADVANCEMENT IN RESTORATIVE COMPOSITE MATERIALS

Aim: To determine the various advancement in restorative composite materials Objective: This review aims towards the understanding of various restorative composite materials available commercially and also the advancement in it. Background: There is mercury present in the silver filling material, called amalgam, in the past century there has been no evidence showing that silver fillings are harmful to patients. But nowadays dentists doesn't use amalgam filling because of its various disadvantages like it can corrode over time, amalgam filling does not bond (hold together) with your tooth etc. Composite fillings are primarily a resin which has been "filled" with other inorganic materials. This compound makes a composite filling more resistant to wear, colour adjustable, and easier to polish. The various composite fillings used are microfilled composites, hybrid composites, nano filled composites. Reason: The reason for this study is to determine the various advancements in restorative materials.
Constraint-based geolocation of internet hosts

Geolocation of Internet hosts enables a new class of location-aware applications. Previous measurement-based approaches use reference hosts, called landmarks, with a well-known geographic location to provide the location estimation of a target host. This leads to a discrete space of answers, limiting the number of possible location estimates to the number of adopted landmarks. In contrast, we propose Constraint-Based Geolocation (CBG), which infers the geographic location of Internet hosts using multilateration with distance constraints to establish a continuous space of answers instead of a discrete one. However, to use multilateration in the Internet, the geographic distances from the landmarks to the target host have to be estimated based on delay measurements between these hosts. This is a challenging problem because the relationship between network delay and geographic distance in the Internet is perturbed by many factors, including queueing delays and the absence of great-circle paths between hosts. CBG accurately transforms delay measurements to geographic distance constraints, and then uses multilateration to infer the geolocation of the target host. Our experimental results show that CBG outperforms previous geolocation techniques. Moreover, in contrast to previous approaches, our method is able to assign a confidence region to each given location estimate. This allows a location-aware application to assess whether the location estimate is sufficiently accurate for its needs.
Performance prediction model for Swedish construction projects

Construction projects tend to be influenced by interrelated issues that can result in unexpected costs or time overrun. Therefore, a need is highlighted by the industry as well as in the literature, to develop predictive models, that can aid in decision-making and guidance for corrective action throughout the development and implementation of construction projects. Performance in construction projects are often measured by key performance indicators. It is assumed that project performance is influenced by project attributes, external factors and the project organization. In this report, a previously made survey, that includes data from Swedish construction projects is analysed to find the most influential factors behind project performance, so that performance not only can be improved, but also predicted. The study that is analysed in this research includes answers from 324 main contractor representatives and 256 clients that participated in the survey in 2014. It includes answers about project attributes, external factors, the project organisation, cost and time for the projects as well as satisfaction of the client and the contractor. First, a literature review, that covers theory about project management success in construction projects is carried out. Thereafter, a statistical correlation method is used to extract the features that are strongly correlated with three performance indicators: cost variance, time variance and client- and contractor satisfaction. A regression analysis is thereafter done in order to develop a model for predicting project cost, time and satisfaction. The result is an identification of the most correlating factors for project performance. The conclusion that can be made is that, although external factors and technical aspects of a building are important for project success, for example, project technical complexity, the use of blasting work or amount of prefabrication, the most recurring factors behind project performance can be derived to human related factors. Human related factors in the project life cycle are of high impact, such as the client role, the architect performance and collaboration throughout the stages of projects. These are also the factors that are most suitable for predicting if a construction project will be successful or not.
Accumulation of Amyloid Precursor Protein in the Mitochondrial Import Channels of Human Alzheimer’s Disease Brain Is Associated with Mitochondrial Dysfunction

Mitochondrial dysfunction is one of the major intracellular lesions of Alzheimer’s disease (AD). However, the causative factors involved in the mitochondrial dysfunction in human AD are not well understood. Here we report that nonglycosylated full-length and C-terminal truncated amyloid precursor protein (APP) accumulates exclusively in the protein import channels of mitochondria of human AD brains but not in age-matched controls. Furthermore, in AD brains, mitochondrially associated APP formed stable ∼480 kDa complexes with the translocase of the outer mitochondrial membrane 40 (TOM40) import channel and a super complex of ∼620 kDa with both mitochondrial TOM40 and the translocase of the inner mitochondrial membrane 23 (TIM23) import channel TIM23 in an “Nin mitochondria–Cout cytoplasm” orientation. Accumulation of APP across mitochondrial import channels, which varied with the severity of AD, inhibited the entry of nuclear-encoded cytochrome c oxidase subunits IV and Vb proteins, which was associated with decreased cytochrome c oxidase activity and increased levels of H2O2. Regional distribution of mitochondrial APP showed higher levels in AD-vulnerable brain regions, such as the frontal cortex, hippocampus, and amygdala. Mitochondrial accumulation of APP was also observed in the cholinergic, dopaminergic, GABAergic, and glutamatergic neuronal types in the category III AD brains. The levels of translocationally arrested mitochondrial APP directly correlated with mitochondrial dysfunction. Moreover, apolipoprotein genotype analysis revealed that AD subjects with the E3/E4 alleles had the highest content of mitochondrial APP. Collectively, these results suggest that abnormal accumulation of APP across mitochondrial import channels, causing mitochondrial dysfunction, is a hallmark of human AD pathology.
Intra-population variation in the natal origins and wing morphology of overwintering western monarch butterflies Danaus plexippus

Understanding the natal origins of migratory animals is critical for understanding their population dynamics and conservation. However, quantitative estimates of population recruitment from different natal habitats can be difficult to assess for many species, especially those with large geographic ranges. These limitations hinder the evaluation of alternative hypotheses about the key movements and ecological interactions of migratory species. Here, we quantitatively investigated intra-population variation in the natal origins of western North American monarch butterflies Danaus plexippus using spatial analyses of stable isotope ratios and correlations with wing morphology. A map of hydrogen isotope values in western monarch butterfly wings (d 2Hm) was estimated using a transfer function that relates the d2Hm values of monarch butterfly wing keratin to a long-term dataset of precipitation isotope (d 2Hp) values across the western United States. Isotopic analyses of 114 monarch butterfly wings collected at four California overwintering locations indicated substantial individual variation in natal origins, with most recruitment coming from broad regions along the Pacific coast, the southwestern US and the northern intermountain region. These observed patterns may partially resolve and reconcile several past hypotheses about the natal origins of western monarch butterflies, while also raising new questions. More negative d2Hm values (associated with longer migratory distance) were significantly correlated with larger forewing sizes, consistent with expectations based on the aerodynamic and energetic costs of long-distance migration, while analyses of wing shape suggest potential differences in the movement behaviors and constraints observed in the western range, compared with previous observations in eastern North America. Taken together, the results of this study indicate substantial individual variation in the natal origins of overwintering western monarch butterflies, suggesting both local and long-distance movement to overwintering sites.
The VSWR Considerations in Potentially Unstable Microwave Amplifiers Design in the CCITL System

The voltage standing wave ratio (VSWR) in a design of potentially unstable microwave transistor amplifiers in the conjugately characteristic-impedance transmission line (CCITL) system using the T-chart is investigated. The design is carried out under constant operating power gain and maximum output stability and design parameters are computed using the characteristic conductance (CC) approach. Output VSWR values are approximately constant except for the slight increase at higher input VSWR values and argument Phi that is the argument of the CCITL characteristic impedances. Input matching networks are implemented at different input VSWR values using reciprocal CCITL single-stub shunt tuners.
Measuring complete diagnostic evaluation in colorectal cancer screening.

Complete diagnostic evaluation, or CDE (i.e., a colonoscopy or combined barium enema X-ray and flexible sigmoidoscopy) is recommended for individuals who have an abnormal screening fecal occult blood test result. Accurate measures of CDE use are needed in colorectal cancer (CRC) screening programs. This study compares the sensitivity and specificity of different methods for measuring CDE recommendation and performance. We identified 17 primary-care practices with 120 patients who had a positive fecal occult blood test result in a CRC screening program operated by a managed-care organization. Approaches used to measure CDE recommendation and performance included external chart audit (ECA) only; internal chart audit (ICA) only; administrative data review (ADR) of electronic claims data; ICA plus ADR; and ECA plus ADR (the "gold standard"). Sensitivity and specificity of each method were assessed relative to CDE recommendation and performance as measured by ECA plus ADR. For CDE recommendation, sensitivity measures were ECA only, 0.926; ICA only, 0.790; ADR only, 0.617; and ICA plus ADR, 0.901. The specificity of each method for CDE recommendation was no less than 0.95. In terms of CDE performance, sensitivity measures were ECA only, 0.877; ICA only, 0.790; ADR only, 0.877; and ICA plus ADR, 0.965. The specificity of each method for CDE performance was 1.0. The ICA-plus-ADR method was a highly sensitive and specific measure of CDE use. This method should be considered in situations that involve primary-care physician follow-up of patients with abnormal CRC screening test results.
A direct and simultaneous detection of zinc protoporphyrin IX, free protoporphyrin IX, and fluorescent heme degradation product in red blood cell hemolysates

Fluorescence emission of free protoporphyrin IX (PPIX, em.∼626 nm), zinc protoporphyrin IX (ZPP, em.∼594 nm) and fluorescent heme degradation product (FHDP, em.∼466 nm) are identified and simultaneously detected in mouse and human red cell hemolysates, when excited at 365 nm. A novel method is established for comparing relative FHDP, PPIX and ZPP levels in hemolysates without performing red cell porphyrin extractions. The ZPP fluorescence directly measured in hemolysates (F365/594) correlates with the ZPP fluorescence obtained from acetone/water extraction (R2 = 0.9515, P < 0.0001). The relative total porphyrin (ZPP and PPIX) fluorescence obtained from direct hemolysate fluorescence measurements also correlates with red blood cell total porphyrins determined by ethyl acetate extraction (Piomelli extraction, R2 = 0.88, P < 0.0001). These fluorescent species serves as biomarkers for alterations in Hb synthesis and Hb stability.
Text Analytics Techniques in the Digital World: a Sentiment Analysis Case Study of the Coverage of Climate Change on US News Networks

This paper analyses nearly 600 news segments relating to climate change broadcast on 3 American news networks over a period of 8 years. The paper demonstrates the typical steps involved in a text analytics solution. It shows how the text data was sourced and imported into a software program. The steps carried out in pre-processing the text data are outlined as well as explaining key terms in the text analytics pipeline. A sentiment analysis is applied using a lexicon and further processing is carried out to answer t he origina l q uestions posed such as what words drive a particular sentiment category, how the news topic vocabulary varies by news network and how sentiment changes over time. It is argued here that the use of an externally provided lexicon in sentiment analysis is not without its pitfalls. It is also shown how the lexicon can be altered by the implementer and the subsequent effect on the results. The stop words list used also affects the text content downstream which will influence the sentiment score. As such, the integrity of the results output in a sentiment analysis solution can be called into question when the source code itself is not publicly visible and available for inspection.
Formal Enforcement of Security Policies : An Algebraic Approach

The security of information systems is one of the most important preoccupations of today’s computer science field. Individuals and companies are more and more affected by security flaws and billions of dollars have been lost because of cyber-attacks. This thesis introduces a formal program-rewriting approach that can automatically enforce security policies on non-trusted programs. For a program P and a security policy Q, we generate another program P ′ that respects the security policy Q and behaves like P except when the enforced security policy is about to be violated. The presented approach uses the EBPA0,1 algebra that is a variant of the BPA (Basic Process Algebra) algebra extended with variables, environments and conditions to formalize and resolve the problem. The problem of computing the expected enforced program P ′ is transformed to a problem of resolving a linear system for which we already know how to extract the solution by a polynomial algorithm. This thesis presents our approach progressively and shows how the solution evolves when we move from the BPA0,1 algebra to the EBPA0,1 algebra.
BUG algorithm analysis using Petri net

In this study, BUG 1 navigation algorithm which is a simple motion planner, is modelled by the Petri net (PN) for a mobile robot (MR). We prefer this PN model to obtain the discrete data for this algorithm. PN is used as a modelling formalism to define MR's movements such that the step of BUG 1 is constructed by using PN. Thus, all states are obtained the coverability tree. After all coverable marking vectors, the process of PN for BUG 1 is shown step by step on a real MR using the simulation environment of MobileSim.
Robust event-triggered control of nonlinear systems with partial state feedback

This paper studies an event-triggered control problem for nonlinear systems subject to both external disturbances and dynamic uncertainties. To avoid infinitely many sampling times on any finite length interval, a new event trigger is proposed, which depends not only on the measurable system state but also on an estimation of the influence of the external disturbance and the unmeasurable state. With the proposed design, the inter-sampling intervals can be proved to be lower bounded by a positive constant, and the closed-loop event-triggered system is proved to be input-to-state stable with the external disturbance as the input.
Predicting attention and avoidance: When do avoiders attend?

Three avoidance measures, the Miller Behavioural Style Scale (MBSS), Index of Self-Regulation of Emotion (ISE) and Mainz Coping Inventory (MCI), were compared in their ability to predict attention and avoidance of threats in the emotional Stroop task. It was also examined if the avoidance mechanism of individuals who would normally avoid threat-indicating words becomes disrupted under conditions of dopamine reduction. Results show that only the ISE predicted attention/avoidance of threat-indicating words. In addition, the avoidance mechanism, as measured by the ISE and MCI, was not activated when regular smokers abstained from smoking.
Energy efficient security protocols for wireless sensor networks : SPINS vs TinySec

In wireless sensor networks (WSNs), Security is critical for many sensor network applications, such as military target tracking and security monitoring. In particular, providing authentication to small sensor nodes is challenging, due to the limited capabilities of sensor nodes in terms of computation, communication, memory storage, and energy supply. Therefore, the implementation of authentication techniques for wireless sensor networks generally using encryption algorithms such as Elliptic Curve Cryptography (ECC), DES and RSA have great challenges in WSNs. In this paper, we compare and analyze the most used authentication protocols proposed in literature, i.e. SPINS and TinySec, were analyzed and simulated using NS-2 simulator.