Miracle-dz/UniFAR-FTUs huggingface dataset:
Low Intensity Millimeter Wave as a Potential Tool in Treatment of Diabetic Sensorymotor Polyneuropathy

The purpose of this study was to determine the effectiveness of application of low intensity Millimeter Wave (MW) in treatment of Diabetic sensorimotor polyneuropathy (DSP). We conducted a randomized sham-controlled single center study in 51 patients with painful DSP diagnosed according to Toronto Clinical Neuropathy Score (TCNS). Patients were randomized to receive either sham or MW treatment over 2 weeks period, 6 times per week. The primary efficacy parameter was the difference in TCNS after 2 weeks.The patients had similar baseline characteristics for TCNS, HbA1c and duration of DSP. After 2 weeks of treatment both groups had a reduction in TCNS, in MW-treated group the mean of TCNS decreased to 7.58 compared with 9.56 for the Sham group (p=0.033). MW had no effect on nerve conduction studies.The obtained data allow us to suggest the MW-treatment as a promising tool for Diabetic Sensorymotor Polyneuropathy therapy.
Pediatric case of hernia reduction en masse

reduction is ‘reduction of a hernia en masse’, which means that the hernia mass (hernia sac plus sac content) is displaced to a preperitoneal position while the sac contents remain incarcerated.1 Thus, the hernia that has been manually reduced is no longer apparent in the inguinal canal; however, the hernia sac still retains its contents in the dislocated position below the muscle and fascia of the abdominal wall in the preperitoneal space.1–4 All reported cases are adults.1–4 To the best of our knowledge, it has not been reported in children. We herein present a pediatric case of reduction of a hernia en masse.
Is economic hardship on the families of the seriously ill associated with patient and surrogate care preferences? SUPPORT Investigators.

BACKGROUND Serious illness often causes economic hardship for patients' families. However, it is not known whether this hardship is associated with a preference for the goal of care to focus on maximizing comfort instead of maximizing life expectancy or whether economic hardship might give rise to disagreement between patients and surrogates over the goal of care. METHODS We performed a cross-sectional study of 3158 seriously ill patients (median age, 63 years; 44% women) at 5 tertiary medical centers with 1 of 9 diagnoses associated with a high risk of mortality. Two months after their index hospitalization, patients and surrogates were surveyed about patients' preferences for the primary goal of care: either care focused on extending life or care focused on maximizing comfort. Patients and surrogates were also surveyed about the financial impact of the illness on the patient's family. RESULTS A report of economic hardship on the family as a result of the illness was associated with a preference for comfort care over life-extending care (odds ratio, 1.26; 95% confidence interval, 1.07-1.48) in an age-stratified bivariate analysis. Similarly, in a multivariable analysis controlling for patient demographics, illness severity, functional dependency, depression, anxiety, and pain, economic hardship on the family remained associated with a preference for comfort care over life-extending care (odds ratio, 1.31; 95% confidence interval, 1.10-1.57). Economic hardship on the family did not affect either the frequency or direction of patient-surrogate disagreements about the goal of care. CONCLUSIONS In patients with serious illness, economic hardship on the family is associated with preferences for comfort care over life-extending care. However, economic hardship on the family does not appear to be a factor in patient-surrogate disagreements about the goal of care.
Explorer Dependency Parsing as Head Selection

Conventional graph-based dependency parsers guarantee a tree structure both during training and inference. Instead, we formalize dependency parsing as the problem of independently selecting the head of each word in a sentence. Our model which we call DENSE (as shorthand for Dependency Neural Selection) produces a distribution over possible heads for each word using features obtained from a bidirectional recurrent neural network. Without enforcing structural constraints during training, DENSE generates (at inference time) trees for the overwhelming majority of sentences, while non-tree outputs can be adjusted with a maximum spanning tree algorithm. We evaluate DENSE on four languages (English, Chinese, Czech, and German) with varying degrees of non-projectivity. Despite the simplicity of the approach, our parsers are on par with the state of the art.1
Stochastic and deterministic stationarity analysis of EEG data

For a long time, EEG has been used for diagnosing mental disorders, for the EEG is an easy technique to acquire such signals. Time series methods are used to study the data since EEG records can be seem as time series. Such methods can be divided into two categories, stochastic and deterministic. Several methods in both categories require the signal to be stationary. Although many works acknowledge the importance of stationarity, they do not check it in the data, or discuss why this is a valid assumption. The lack of stationarity in methods that require it can twist the meaning of the results, so this is an important property to check. Since the literature has not definitively answered the question of how to determine the stationarity of a signal, we investigated how two different approaches handle it. The stochastic approach performs a hypothesis test based on the Chi-Squared statistic to check if two consecutive windows have the same probability distribution function. On the other hand, the deterministic one makes use of dynamical closeness computed over the reconstructed phase space on each window of the signal. Based on this measure, it infers the underlying dynamics of each window and tries to find recurrence in these dynamics, clustering the similar windows together. Three different datasets were used, two synthetic, from a Gaussian distribution, and from the Lorenz system, and one real epileptic EEG signal dataset. The results showed a sensitivity in the window size parameter, and an upper limit for the embedding dimension. It was possible to narrow the range of the parameters. In the stochastic scenario, significance level should not be too stringent, and window size have displayed some sensitivity.
Outage Probability of Amplify-and-Forward Two-Way Relay Interference-Limited Systems

This paper studies the outage performance for a two-way relay channel using amplify-and-forward (AF) strategy in interference-limited scenarios. The exact integral-form expression for the system outage probability is derived under distinct-power interference environments. The lower bound and the approximation for the outage probability are also derived in closed form. The optimal power allocation between terminals is obtained in the case when the transmit power of the relay is large and when the effect of interference is discussed. Numerical results demonstrate that the lower bound works well in situations where the transmit power of the relay is smaller than that of the source terminals, whereas the approximation fits perfectly with the exact results in general situations and particularly when the power of the relay is larger than that of the source terminals in interference-limited systems.
Adaptation Study of Privacy Management in Social Networks Scale into Turkish

MAKALE BİLGİ ABSTRACT Makale Tarihçesi: Alındı Tarih 14.03. 2018 Çevrimiçi yayınlandı 10.10. 2018 The aim of this study is to adapt the scale of "Privacy Management in Social Networks" developed by Mohamed and Ahmad (2012) in order to measure the levels of privacy management in social networks of university students. The original form of the scale consists of six sub-factors and a total of 21 items. The adaptation study was carried out in two stages. In the first stage, data was collected from 190 university students for a descriptive factor analysis, followed by confirmatory factor analysis of 254 university students. As a result of the analyses, Turkish form of scale with 19 items and three factors was obtained. Factors were named "perceived sensitivity and severity", "reward" and "self-efficacy and response effectiveness". It can be said that the scale are valid and reliable in measuring undergraduate students’ levels of privacy management in social networks.
THE EVOLUTION OF CIRCUMSTELLAR DISKS SURROUNDING INTERMEDIATE-MASS STARS: IC 1805

We report the results of a study of the intermediate- and high-mass stars in the young, rich star-forming complex IC 1805, based on a combination of optical, near-infrared, and mid-infrared photometry, and classification spectra. These data provide the basis for characterizing the masses and ages for stars more massive than ∼2 M☉ and enable a study of the frequency and character of circumstellar disks associated with intermediate- and high-mass stars. Optically thick accretion disks among stars with masses 2 < M/M☉ < 4 are rare (∼2% of members) and absent among more massive stars. A larger fraction (∼10%) of stars with masses 2 < M/M☉ < 4 appear to be surrounded by disks that have evolved from the initial optically thick accretion phase. We identify four classes of such disks. These classes are based on spectral energy distributions (SEDs) of excess emission above photospheric levels: disks that are (1) optically thin based on the magnitude of the observed excess emission from 2 to 24 μm, (2) optically thin in their inner regions (r < 20 AU) and optically thick in their outer regions, (3) exhibit empty inner regions (r < 10 AU) and optically thin emission in their outer regions, and (4) exhibit empty inner regions and optically thick outer regions. We discuss, and assess the merits and liabilities of, proposed explanations for disks exhibiting these SED types and suggest additional observations that would test these proposals.
Transcriptome of Enterohemorrhagic Escherichia coli O157 Adhering to Eukaryotic Plasma Membranes

ABSTRACT Using a DNA microarray, we determined changes in enterohemorrhagic Escherichia coli O157:H7 gene expression during binding to plasma membranes. Analysis of the complete transcriptomes of the bound bacteria revealed increased levels of stress-associated mRNAs and decreased levels of mRNA encoding proteins involved in translation and type III secretion.
Taxonomic Identification and Phylogenetic analysis of NematodeParasites Using 18S rDNA and 28S rDNA

Molecular markers have often been used for taxonomic identification and phylogenetic analyses in different species groups. Evolution of rDNA is relatively independent of changes in morphology, and analyses of these genetic data have been shown to provide good phylogenetic resolution. So, it was decided to perform a phylogenetic analysis on species of the genus Leidynema appendiculata, Hammerschmidtiella indicus and Schwenkiella icemi based on ribosomal DNA (rDNA) sequences. During the present study, a partial fragment of the small subunit ribosomal RNA gene (SSU rRNA) and large subunit ribosomal RNA gene (LSU rRNA) was sequenced for purposes of molecular identification. In the present study, phylogenetic relationships of species of the genus were investigated using nucleotide sequences of the region of 28S rDNA and 18S rDNA. Phylogenetic analyses were performed for primary sequence data as well as using neighbour-joining and maximumparsimony approaches.
VM Selection Process Management for Live Migration in Cloud Data Centers

With immense success and fast growth within the past few years, cloud computing has been established as the dominant computing paradigm in information technology (IT) industry, wherein it utilizes dissipated resource benefits and supports resource sharing and time access flexibility. The proliferation of cloud computing has resulted in the establishment of large-scale data centers across the world, consisting of hundreds of thousands, even millions of servers. The emerging cloud computing paradigm provides administrators and IT organizations with considerable freedom to dynamically migrate virtualized computing services among physical servers in cloud data centers. Normally, these data centers incur very high investment and operating costs for the computing and network devices as well as for the energy consumption. Virtualization and virtual machine (VM) migration offers significant benefits such as load balancing, server consolidation, online maintenance and proactive fault tolerance along data centers. VM migration relies on how to determine the trigger condition of VM migration, select the target virtual machine, and choose the destination node. As a result, dynamic VM migration in the scope of resource management is becoming a crucial issue to emphasize on optimal resource utilization, maximum throughput, minimum response time, enhancing scalability, avoiding over-provisioning of resources and prevention of overload to make cloud computing successful. Intelligent host underload/overload detection, VM selection, and VM placement are the primary means to address VM migration issue. Therefore, these three problems are considered to be the most common tasks in VM migration. This thesis presents novel techniques, models, and algorithms, for distributed dynamic consolidation of virtual machines in cloud data centers. The goal is to improve the utilization of computing resources and reduce energy consumption under workload independent quality of service constraints. The proposed approaches are distributed and efficient in managing the energy-performance trade-off.
Type-Directed Diffing of Structured Data

The Unix diff utility that compares lines of text is used pervasively by version control systems. Yet certain changes to a program may be difficult to describe accurately in terms of modifications to individual lines of code. As a result, observing changes at such a fixed granularity may lead to unnecessary conflicts between different edits. This paper presents a generic representation for describing transformations between algebraic data types and a non-deterministic algorithm for computing such representations. These representations can be used to give a more accurate account of modifications made to algebraic data structures – and the abstract syntax trees of computer programs in particular – as opposed to only considering modifications between their textual representations.
Ribosomal Protein S 4 Acts in trans as a Translational Repressor to Regulate Expression of the a Operon in Escherichia colit

Ribosomal protein (r-protein) S4 is the translational repressor which regulates the synthesis rates of r-proteins whose genes are in the a operon: r-proteins S13, Sit, S4, and L17. In a strain having a mutation in the gene for r-protein S4 (rpsD), the mutant S4 fails to regulate expression of the a operon, resulting in specific and significant overproduction of r-proteins S13, S11, and S4. This confirms and extends similar observations made with rpsD mutants (M. 0. Olsson and L. A. Isaksson, Mol. Gen. Genet. 169:271-278, 1979) before post-transcriptional regulation of r-protein synthesis was proposed and is consistent with the established regulatory role of r-protein S4. The rpsD mutant has been used to study the question of whether regulatory r-proteins function in trans or strictly in cis as translational repressors. The mutant strain was lysogenized with one or two specialized transducing phages carrying a wild-type S4 gene to obtain strains which were diploid or triploid with respect to the a operon. The wild-type and mutant forms of S4 were separated by two-dimensional polyacrylamide gel electrophoresis, which allowed accurate measurement of the relative contributions of r-proteins from different a operons within a single cell. We found that expression of r-proteins from the chromosomal a operon containing the rpsD allele was reduced when the wild-type S4 was present, with the effect being greater in the triploid strain than in the diploid strain. We conclude that the wildtype S4 acts in trans as a translational repressor to regulate expression from the chromosomal a operon.
The Quality Management System as a Driver of Organizational Culture: An Empirical Study in the Portuguese Textile Industry

Purpose: The purpose of this paper is to analyse the Portuguese textile industry in which way quality culture influences the organization’s performance. Thus, it was created an investigation model made up of three hypotheses. The aim was to obtain the interconnection among “error detection culture, error anticipation culture, creative culture, and continuous improvement, and finally performance”. Methodology/Approach: A questionnaire tested before in similar studies (Cameron and Sine, 1999; Costa, 2008; Leal, Roldan and Acedo, 2002), was sent to 71 companies. The questionnaire was structured in three sections. The geographic area chosen for analysis was the North of Portugal. Were received 60 valid answers, which represents a sample with a percentage of 84.5% of useful answers.Findings: The results show that the existence of strong interconnections for the “error detection culture negatively influences performance” and for the “creative culture and continuous improvement” positively influences performance. Many companies of this research are managed according to reactive quality cultures. They are still oriented by values and attributes that should be improved in the paradigm of quality management.Research Limitation/implication: The study is limited to a geographic area, designated Northern Portugal.Originality/Value of paper: From the obtained results it was found the existence of a dominant quality culture (the error detection culture). This means that Portuguese textile industries, and others industries in another countries, with the “error detection culture”, are oriented by quality values which must be improved.
Price transmission analysis between Finnish and selected European broiler markets

The import of poultry meat in Finland has been growing since 2000, mostly in broiler. Because of the avian flu scare, there has been a ban on importing poultry from Asia for the past two years, so Finland imported broiler mostly from European 25 countries, such as Denmark, Germany and France. The market share of broiler from foreign countries is growing, so is the competition on the price. Allowing for price signals to be transmitted spatially in different markets and market integration is the key premises in economics.
A model-based controller for a half-bridge NPC used as an active power filter

This paper presents a model-based controller for an active power filter (APF) to compensate reactive power and current harmonic distortion in a single-phase system. A Half-bridge Neutral Point Clamped (NPC) topology is selected as a voltage source inverter (VSI) to implement the APF. The control scheme is composed by three control loops referred as the inner control loop (or current loop), the regulation loop, and the balance control loop. The inner control loop is aimed to compensate both the displacement power factor (DPF) and the harmonic distortion of the current flowing to the grid. Only compensation of odd harmonics is considered which is the distortion present in most single-phase non-linear loads. The regulation and balance loops are designed to achieve the regulation and balance of the capacitor voltages in the DC-link. Numerical results are presented to show the performance of the proposed solution.
Outage probability of cognitive amplify-and-forward relay networks under interference constraints

This paper presents the outage performance in cognitive relay networks. The closed-form expression for the outage probability is derived in cognitive amplify-and-forward (AF) relay networks under the interference constraint. Through the Monte Carlo simulation, it is shown that our analytic result is a tight bound especially at high average signal to noise ratio (SNR). Additionally, the numerical result shows the feasible region of AF relay in cognitive relay networks. This result also shows that the relaying transmission in the cognitive networks is inferior to the direct transmission in aspect of the outage performance, if the location of relay is too close to the primary receiver.
Methods for improving the yield and quality of metaphase preparations for FISH probing of human lymphocyte chromosomes

Procedures are described for the in vitro culture of human lymphocytes, which have been concentrated by density gradient centrifugation, and for a modified slide‐making technique for the fixed cells. The method yields improved percentages of mitotic cells which are largely synchronized at harvest. Controlled placement of fixed cells on slides produces well‐spread metaphase preparations with little background material to interfere with fluorescence in situ hybridization (FISH) probe procedures. The FISH reagents and microscope scanning time required are minimized by concentrating cells in a defined area of the slide. Environ. Mol. Mutagen. 29:98–104, 1997 © 1997 Wiley‐Liss, Inc.
Phospholipase A1 from Trypanosoma cruzi infective stages generates lipid messengers that activate host cell protein kinase c

Here we have studied phospholipase A1 (Plase A1) from Trypanosoma cruzi infective stages and it's possible role regarding the interaction with mammalian host cells. Plase A1 was mainly detected as a membrane-bound activity in the infective amastigote and trypomastigote stages, being remarkably higher with respect to the non-infective epimastigotes. It is noteworthy that only the infective stages secreted Plase A1. Moreover, along the differentiation process from epimastigotes into metacyclic trypomastigotes, the secreted enzyme activity increased simultaneously with the appearance of metacyclic forms, as expected. Since this enzyme is predominantly membrane-associated and secreted by the infective stages, Vero cell lipid profile modifications were analysed after interaction with either intact infective parasites or purified T. cruzi Plase A1. Significant changes in Vero cell lipid composition were observed, with the appearance of free fatty acids, diacylglycerol and lysophosphatidylcholine. Concomitantly with the generation of second lipid messengers, host cell protein kinase C activation was demonstrated. These results indicate that T. cruzi Plase A1 could play a critical role in the early events of parasite-host cell interaction that precede invasion.