Miracle-dz/UniFAR-FTUs huggingface dataset:
MARRIAGE, STRESS AND MENOPAUSE: MIDLIFE CHALLENGES AND JOYS

: This study investigated the relationship of two contextual variables (the marital relationship and stress) with the experience of menopause for 224 married midlife women. These women completed the Dyadic Adjustment Scale, the Quality of Relationship Inventory, the Women’s Health Questionnaire, the Index of Sexual Satisfaction, and the Life Events Questionnaire for Middle-Aged Women. Marital quality, marital satisfaction, and stress predicted menopausal symptomatology. Women in dissatisfying marriages, characterized by less social support, less depth, and higher conflict, reported increased stress and more menopausal symptomatology than did women in satisfying marriages. Sexual satisfaction was positively related to marital satisfaction. No differences were found due to menopausal stage. These findings suggest that relationship variables may override menopausal status in importance as midlife women move through the menopausal transition.
Coordinated energy management for colocation data centers in smart grids

Colocation data center is an important type of data centers that has some unique challenges in managing its energy consumption. Tenants in a colocation data center usually manage their servers independently without coordination, leading to inefficiency. To address this issue, we propose a formulation of coordinated energy management for colocation data centers. We formulate it as a large-scale optimization problem, and then develop a novel decentralized algorithm to solve it efficiently. Our algorithm is based on the alternating direction method of multipliers (ADMM) which converges to the global optimal solution within tens of iterations and is insensitive to step size. Extensive numerical evaluations based on real-world traces are conducted to show the performance of our algorithm.
Unsupervised Key-phrase Extraction using Noun Phrases

The growing abundance of text articles in internet requires automated tagging using key phrases. The automated key phrase generation of resources helps in the information retrieval. To generate the key phrases for texts from all possible domains, the need is an automated approach that would extract the key ideas directly from the text itself. In this paper, we have suggested a methodology that uses the noun words and phrases, their occurrence and co-occurrences to generate the keywords. The method, employing both the statistical and linguistic features, has been successful in extracting the keywords and phrases to tag a text that best summarizes its content.
The distribution of mitochondrial activity in relation to optic nerve structure.

BACKGROUND The observation of a buildup of mitochondria at the level of the lamina cribrosa in the optic nerve head has traditionally been attributed to axoplasmic stasis. However, this region is also the transition zone for myelination, resulting in differing energy requirements. OBJECTIVE To investigate the relationship between myelination and mitochondrial activity in optic nerve tissue. METHODS Histological, histochemical, and immunocytochemical techniques were used to demonstrate the distribution of myelin, cytochrome-c oxidase activity, and laminar structure in human optic nerve tissue. A study of rabbit optic nerve and retina and unmyelinated human pituitary stalk was also performed. Cytochrome-c oxidase activity in the human optic nerve tissue was measured using microphotometry. RESULTS There was a striking inverse relationship between myelination and mitochondrial distribution in all tissue studied. Statistical analysis of microphotometric data showed this distribution to be highly significant. CONCLUSION We caution against the previous inference of a process of axoplasmic stasis and suggest that, instead, the distribution of mitochondria reflects the functional requirement of different regions of the ganglion cell axon. CLINICAL RELEVANCE Optic neuropathy is associated with several inherited disorders of mitochondria. We suggest that a fine balance exists between energy demand and tissue function in the optic nerve, which may explain why optic nerve pathological features are seen in those with mitochondrial disease.
Exploring adoption of smart glasses: Applications in medical industry

This research is a study exploring the utilization of smart glasses by physicians and their adoption to these products in medical industry. Although varied smart glasses were examined in the process by literature review, in whole work M100 was used as a physical product. In this research study, three research methods were applied. These are semi-structured in-depth interview, expert focus group work and experimental study 95 constructs were extracted from literature review and interviews by physicians. Approximately 40 most significant constructs were selected by physicians in the expert focus group work. At the end, 75 physicians answered a survey related with these 40 constructs. Furthermore, these constructs include the most significant design inputs of smart glasses for the expert group. The survey included approximately 50 questions. According to survey and results of multiple regression analyses; it is revealed that compatibility, ease of reminding, speech recognition and ease of use affect usefulness positively. Moreover, ease of learning, ease of medical education, external influence and privacy affect ease of use positively too. In addition, usefulness, ease of use affect attitude and attitude affects intention. To sum up, designers should focus on these design inputs at the first stage of product development process of smart glasses for physicians.
The Sociology of the Gulf Rentier Systems : Societies of Intermediaries

Theories about the politics and economics of resource-rich or “rentier” states have been around for almost four decades now (Mahdavy 1970; Beblawi 1987; Chaudhry 1997; Humphreys et al. 2007). Political scientists and economists have argued that rents have a negative impact on levels of democracy (Luciani 1990; Ross 2001), on the quality of institutions (Chaudhry 1997; Isham et al. 2005), and on economic growth (Sachs and Warner 2001). Although much debate has been conducted over these macro-correlations, far less attention has been devoted to the causal mechanisms behind them. There is still no unified theory of rentier states, and the micro-foundations of rentier systems in particular have gone largely unexplored. As long as we do not know the mechanisms through which rents are distributed, and what kinds of interests and social relationships this process generates, it will be difficult to unpack rentier state effects. What is lacking in the current debate, in other words, is a concrete political sociology of rent circulation. This paper proposes a theoretical and empirical micro-basis for rentier-state analysis by examining one core social mechanism characteristic of rentier systems that has hitherto been overlooked: brokerage of state resources through individuals in privileged positions. I will analyze the particular histories of brokerage in six oil-rich monarchies of the Gulf Cooperation Council (GCC) as case studies to develop my general argument. While the latter is tentative and calls for future comparative research, my account of the cases is more conclusive and gives us a new handle on the economic sociology of six of the world’s richest rentier systems. My guiding assumption is that rentier states, especially during early resource booms, tend to be characterized by an imbalance of resources between state and society. The relative abundance of state resources gives societal actors strong incentives to seek access to them. Because rentier state bureaucracies are S0010417510000058jra pp: 1–37 Techset Composition Ltd, Salisbury, U.K. 2/20/2010
Towards Improving the Lexicon-Based Approach for Arabic Sentiment Analysis

The emergence of the Web 2.0 technology generated a massive amount of raw data by enabling Internet users to post their opinions on the web. Processing this raw data to extract useful information can be a very challenging task. An example of important information that can be automatically extracted from the users' posts is their opinions on different issues. This problem of Sentiment Analysis SA has been studied well on the English language and two main approaches have been devised: corpus-based and lexicon-based. This work focuses on the later approach due to its various challenges and high potential. The discussions in this paper take the reader through the detailed steps of building the main two components of the lexicon-based SA approach: the lexicon and the SA tool. The experiments show that significant efforts are still needed to reach a satisfactory level of accuracy for the lexicon-based Arabic SA. Nonetheless, they do provide an interesting guide for the researchers in their on-going efforts to improve lexicon-based SA.
Reconstruction of scattered and unscattered PET coincidences using TOF and energy information

In positron emission tomography (PET), a typical reconstruction algorithm relies on a method to estimate and subtract the scatter from the net trues coincidences. The remaining unscattered coincidences are then used to reconstruct an image of the original activity distribution. The introduction of time-of-flight (TOF) PET opens the possibility to change this scheme, and use the spatial information carried by the scattered events for the reconstruction. The combined knowledge of TOF difference and detected photon energy provides spatial information on the position of the source even after single scattering, and can be used for the reconstruction of scattered photons, using a ‘scatter back projector’ in addition to the conventional ‘trues back projector’. In the scatter back projector, the scattering angle is derived from the energy of the scattered photon through Compton kinematics, and this identifies a set of possible scattering trajectories, or ‘broken’ line of response (LOR). The TOF information localizes the position of the source along the set of broken LOR. The advantages of this proposed method are twofold: including the spatial information about the origin of the scattered pairs could improve the image quality particularly in low count datasets; and the threshold of the energy window can be lowered to include more scatter, thus increasing sensitivity. In this work, this novel approach to scatter in PET is introduced, different implementations are discussed, and the performance of a preliminary version of the ‘scatter back projector’ is presented.
An optimized Cu-Ni nanocomposite coil for low-power electromagnetic microspeaker fabrication

This paper presents an optimized Cu-Ni nanocomposite coil synthesized based on the trade-off of resistivity and permeability of the nanocomposite for low-power electromagnetic microspeaker fabrication. A 200µm wide composite coil plated in an alkaline noncyanide copper based bath that is added with 2g/L of Ni nanopowders can realize ∼40% power saving of the speaker performed in a frequency range of 1 to 6kHz as compared with the coil made of pure Cu for the same speaker design.
The Contribution of Dynamic Exploration to Virtual Anatomical Learning

Virtual Learning Environments are increasingly becoming part of the medical curriculum. In a previous study we (luursema et al., 2006) found that a combination of computer-implemented stereopsis (visual depth through seeing with both eyes) and dynamic exploration (being able to continuously change one's viewpoint relative to the studied objects in real time) is beneficial to anatomical learning, especially for subjects of low visuo spatial ability (the ability to form, retrieve, and manipulate mental representations of a visuo-spatial nature). A follow-up study (luursema et al., 2008) found the contribution of computer-implemented stereopsis to this effect to be small but significant. The present experiment investigated the contribution of dynamic exploration to anatomical learning by means of a virtual learning environment. Seventy participants were tested for visuo-spatial ability and were grouped in pairs matched for this ability. One individual of the pair actively manipulated a 3D reconstruction of the human abdomen; the other individual passively watched the interactions of the first individual on a separate screen. Learning was assessed by two anatomical learning tests. Dynamic exploration provided a small but significant benefit to anatomical learning.
Transformed composite sequences for improved qubit addressing

family. Further, we demonstrate the effectiveness of these sequences in an experiment with 40 Ca + ion qubits in a surface-electrode trap. We consider a register of N identical spatially separated qubits. A resonant laser in the rotating-wave limit illuminates an addressed qubit i, but also illuminates neighboring qubits j at a lower intensity, resulting in an addressing error. Control over the qubits is implemented by applying a time-dependent Hamiltonian
Meta-analysis for bioequivalence studies: interchangeability of generic drugs and similar containing Hydrochlorothiazide is possible but not with Enalapril Maleate.

INTRODUCTION The generic drugs program provided a better population's access to medicines. To ensure interchangeability between a brand-name and generic or similar drugs is necessary that they are bioequivalent. With the growing number of generic drugs, it is common for patients to replace a generic to another or one similar. However, this exchange can not guarantee the maintenance of bioequivalence. To evaluate the safety interchangeability between different generic and similar drugs with Hydrochlorothiazide and Enalapril Maleate, a meta-analysis was carried out with several bioequivalence studies with these drugs. METHODS Data from bioequivalence of generic and similar drugs approved by the National Health Surveillance Agency (Anvisa) (drug regulatory agency in Brazil) were used. The compatibility of data from each study was analyzed and the determination of a confidence interval for the differences between the means of pharmacokinetic parameters, area under the curve (ASC0-t) and maximum plasma concentration (Cmax), was made for each study by meta-analysis. RESULTS The interchangeability between the combinations of the three products with Hydrochlorothiazide was confirmed based on the obtained confidence intervals. For the drugs studied with Enalapril Maleate interchangeability has not been confirmed for 50% of the product comparisons. CONCLUSION The exchange was established between the three products with hydrochlorothiazide. However, for the Enalapril Maleate half of the products studied are not interchangeable, considering they do not match the established intervals for bioequivalence tests, so the pharmacokinetics behavior and thus the effectiveness of the product may be changed.
The Centercept: An Estimable and Meaningful Regression Parameter

Linear regression is a mathematical model that is employed broadly throughout all of social science research. The choice of parameterization for linear models has important substantive and statistical implications. This article examines the typical parameterization chosen, which includes a parameter for slope and a parameter for the y-intercept. The article demonstrates that the centercept has an interpretive advantage over the traditionally used y-intercept and that the centercept is typically estimated more accurately.
A Self-Calibration Method of Zooming Camera

In this article we proposed a novel approach to self- calibrate a camera with variable focal length. We show that the estimation of camera’s intrinsic parameters is possible from only two points of an unknown planar scene. The projection of these points by using the projection matrices in two images only permit us to obtain a system of equations according to the camera’s intrinsic parameters . From this system we formulated a nonlinear cost function which its minimization allows us to estimate the camera’s intrinsic parameters in each view. The results on synthetic and real data justify the robustness of our method in term of reliability and convergence.
E2F mediates induction of the Sp1-controlled promoter of the human DNA polymerase B-subunit gene POLE2

Abstract The B-subunits of replicative DNA polymerases from Archaea to humans belong to the same protein family, suggesting that they share a common fundamental function. We report here the gene structure for the B-subunit of human DNA polymerase epsilon (POLE2), whose expression and transcriptional regulation is typical for replication proteins with some unique features. The 75 bp core promoter region, located within exon 1, contains an Sp1 element that is a critical determinant of promoter activity as shown by the luciferase reporter, electrophoretic mobility shift and DNase I footprinting assays. Two overlapping E2F elements adjacent to the Sp1 element are essential for full promoter activity and serum response. Binding sites for E2F1 and NF-1 reside immediately downstream from the core promoter region. Our results suggest that human POLE2 is regulated by two E2F-pocket protein complexes, one associated with Sp1 and the other with NF-1. So far, only one replicative DNA polymerase B-subunit gene promoter, POLA2 encoding the B-subunit of DNA polymerase alpha, has been characterized. Mitogenic activation of the POLE2 promoter by an E2F-mediated mechanism resembles that of POLA2, but the regulation of basal promoter activity is different between these two genes.
Broadband Internet performance (QoS measurement) view from home access gateway in Malaysia

The performance management is specified Quality of services (QoS) parameters is throughput, jitter, packet loss and delay. Network performance (NP) is very challenging to predict and guarantee in QoS performance because many service and applications rapidly increased. From that, Broadband wired assessment was conducted among 5 regions in Malaysia with 25 locations. Assessment is to benchmarking network and it is important to be used in operation and management of Network service providers (NSP) with MCMC requirement. The result of assessment was studied to find the best of benchmarking in a Network performance (NP). In addition from result, Internet Experience Measurement tool (IEMT) was developed also to more detail focusing a quality of experience (QoE) to cater user complaining slow browsing and slow connectivity.
Intra-Individual Variability in Efavirenz Plasma Concentrations Supports Therapeutic Drug Monitoring Based on Quarterly Sampling in the First Year of Therapy

Intrapatient variability in drug plasma concentrations is critical to the use of therapeutic drug monitoring with efavirenz, a non-nucleoside reverse-transcriptase inhibitor. Marked intrapatient variability, particularly for concentrations near the minimal therapeutic concentration, could be a predictor of virologic failure, meaning that a single concentration is of limited value. Previous reports on efavirenz intra-individual variability were obtained only in follow-up periods of 3 to 12 months and do not provide a rationale for the periodicity of sample measurements needed in long-term therapy to identify patients with a large variability and increased risk of therapeutic failure. The aim of this work was to investigate intra-individual variability in efavirenz plasma concentrations over a long-term follow-up period to support therapeutic drug monitoring. In a case series study, clinical and laboratory data were collected from all HIV-positive adults at the immunodeficiency outpatient clinic who were on regimens containing efavirenz in 2002 and who gave their informed consent (n = 31). Efavirenz plasma concentrations were measured throughout a 3 year period, without dose adjustments. For each patient, 6 to 12 samples were obtained over the follow-up period with an interval of at least 3 months between each sample. Mean plasma concentrations (mg/L) in the first, second, and third year of follow-up were 2.20 ± 0.64, 2.17 ± 0.68, and 2.31 ± 0.57. Mean intra-individual variability throughout the first, second, and third year of study was 27%, 31%, and 25%, ranging from 12% to 63%. No differences in intrapatient variability in efavirenz plasma concentrations were found between females and males, HBV/HCV+ and HBV/HCV− patients, or age above/below 40 years. Mean values (intra-individual variability) in plasma concentrations (mg/L) found in 3 of 31 patients who experienced virologic failure were 1.78 (42%), 1.52 (16%), and 1.68 (45%). The high interindividual variability and low maintained values of intrapatient variability in plasma concentrations support therapeutic drug monitoring, which could be based on measurements taken quarterly during the first year of therapeutics. In patients presenting high values of intra-individual variability (eg, >40%) associated with low plasma concentrations (eg, <2 mg/L), more frequent measurements over longer periods (more than 1 yr) of controlled concentrations might be recommended, but this requires further investigation.
Unitary gas in an isotropic harmonic trap: Symmetry properties and applications

We consider N atoms trapped in an isotropic harmonic potential, with s-wave interactions of infinite scattering length. In the zero-range limit, we obtain several exact analytical results: mapping between the trapped problem and the free-space zero-energy problem, separability in hyperspherical coordinates, SO(2,1) hidden symmetry, existence of a decoupled bosonic degree of freedom, and relations between the moments of the trapping potential energy and the moments of the total energy.
Frequent correlated periodic Pattern Mining for Large Volume Set using Time Series Data

Frequent pattern mining has been a widely used in t he area of discovering association and correlations among real data sets. However, discovering interest ing correlation relationship among huge number of c ooccurrence patterns are complicated, a majority of them are superfluous or uninformative. Mining correlations among large pile of useless informatio n is extraordinarily useful in real-time applicatio ns. In this study, we propose a technique uses FP-tree for mining frequent correlated in periodic patterns fr om a transactional database. The analysis of time correl ation measure tend to improvise the performance based on real time data sets and the result proves the algor ithm efficiency by shifting the data sets to variou s domain towards time series, its correlation and noise-resi lient ratio. This work addresses the time correlati on factor achieved with the previous evaluated result of time series sequence of FP tree.
Automated detection of glioblastoma tumor in brain magnetic imaging using ANFIS classifier

This article proposes a novel and efficient methodology for the detection of Glioblastoma tumor in brain MRI images. The proposed method consists of the following stages as preprocessing, Non‐subsampled Contourlet transform (NSCT), feature extraction and Adaptive neuro fuzzy inference system classification. Euclidean direction algorithm is used to remove the impulse noise from the brain image during image acquisition process. NSCT decomposes the denoised brain image into approximation bands and high frequency bands. The features mean, standard deviation and energy are computed for the extracted coefficients and given to the input of the classifier. The classifier classifies the brain MRI image into normal or Glioblastoma tumor image based on the feature set. The proposed system achieves 99.8% sensitivity, 99.7% specificity, and 99.8% accuracy with respect to the ground truth images available in the dataset.