Miracle-dz/UniFAR-FTUs huggingface dataset:
Mindfullness Dengan Kualitas Hidup Pada Lanjut Usia

Lanjut usia merupakan fase terakhir dalam kehidupan manusia yang ditandai dengan terjadinya penurunan pada aspek fisik, sosial, dan psikologis. Terjadinya penurunan dapat berpengaruh pada kualitas hidup. Salah satu faktor yang mempengaruhi kualitas hidup adalah mindfulness. Penelitian ini bertujuan untuk mengetahui hubungan mindfulness dengan kualitas hidup lanjut usia di Kelurahan Tuah Karya, Pekanbaru. Populasi dalam penelitian ini adalah seluruh lanjut usia di kelurahan Tuah Karya, Pekanbaru. Subjek dalam penelitian ini berjumlah 65 orang lanjut usia. Penentuan subjek penelitian dilakukan dengan dua tahap, pertama menggunakan teknik cluster sampling, cluster penelitian ditentukan dengan mengundi 176 RT, kemudian subjek ditentukan dengan teknik purposive sampling. Pengukuran dilakukan dengan menggunakan skala mindfulness dan skala kualitas hidup dari WHOQOL-BREF. Hasil analisis data meggunakan korelasi product moment menunjukkan nilai korelasi (r) sebesar . 527, p < 0,01, artinya ada hubungan positif antara mindfulness dan kualitas hidup pada lanjut usia di Kelurahan Tuah Karya, Pekanbaru. Kata kunci: mindfulness, kualitas hidup, lanjut usia
Theory and practice of irregular sampling

This chapter presents methods for the reconstruction of bandlimited functions from irregular samples. The first part discusses algorithms for a constructive solution of the irregular sampling problem. An important aspect of these algorithms is the explicit knowledge of the constants involved and efficient error estimates. The second part discusses the numerical implementation of these algorithms and compares the performance of various reconstruction methods. Although most of the material has already appeared in print, several new results are included: (a) a new method to estimate frame bounds, (b) a reconstruction of band-limited functions from partial information, which is not just the samples; (c) a new result on the complete reconstruction of band-limited functions from local averages; (d) a systematic exposition of recent experimental results.
Prevalence of Low Bone Mineral Density and Associated Risk Factors in Korean Puerperal Women

Although pregnancy is a medical condition that contributes to bone loss, little information is available regarding bone mineral density (BMD) in puerperal women. This cross sectional study aimed to evaluate the prevalence of low BMD in puerperal women and to identify associated risk factors. We surveyed all puerperal women who had BMD measurements taken 4–6 weeks after delivery in a tertiary university hospital, and did not have any bone loss-related comorbidities. Among the 1,561 Korean puerperal women, 566 (36.3%) had low BMD at the lumbar spine, total hip, femoral neck, and/or trochanter. Multivariate analysis revealed that underweight women had a significantly higher risk of low BMD compared with obese women at pre-pregnancy (adjusted odds ratio [aOR], 3.21; 95% confidence interval [CI], 1.83–5.63). Also, women with inadequate gestational weight gain (GWG) were 1.4 times more likely to have low BMD than women with excessive GWG (aOR, 1.42; 95% CI, 1.04–1.94). One-way ANOVA showed that BMDs at the lumbar spine and total hip were significantly different between the 4 BMI groups (both P < 0.001) and also between the 3 GWG groups (both P < 0.001). In conclusion, this study identifies a high prevalence of low BMD in puerperal women and thus suggests the need for further evaluation about the change of BMD in pregnancy and postpartum period.
The Lipopolysaccharide Core of Brucella abortus Acts as a Shield Against Innate Immunity Recognition

Innate immunity recognizes bacterial molecules bearing pathogen-associated molecular patterns to launch inflammatory responses leading to the activation of adaptive immunity. However, the lipopolysaccharide (LPS) of the gram-negative bacterium Brucella lacks a marked pathogen-associated molecular pattern, and it has been postulated that this delays the development of immunity, creating a gap that is critical for the bacterium to reach the intracellular replicative niche. We found that a B. abortus mutant in the wadC gene displayed a disrupted LPS core while keeping both the LPS O-polysaccharide and lipid A. In mice, the wadC mutant induced proinflammatory responses and was attenuated. In addition, it was sensitive to killing by non-immune serum and bactericidal peptides and did not multiply in dendritic cells being targeted to lysosomal compartments. In contrast to wild type B. abortus, the wadC mutant induced dendritic cell maturation and secretion of pro-inflammatory cytokines. All these properties were reproduced by the wadC mutant purified LPS in a TLR4-dependent manner. Moreover, the core-mutated LPS displayed an increased binding to MD-2, the TLR4 co-receptor leading to subsequent increase in intracellular signaling. Here we show that Brucella escapes recognition in early stages of infection by expressing a shield against recognition by innate immunity in its LPS core and identify a novel virulence mechanism in intracellular pathogenic gram-negative bacteria. These results also encourage for an improvement in the generation of novel bacterial vaccines.
Learning input shaping technique for non-LTI systems

It is well known that a conventional input shaping technique is not very effective in suppressing residual vibrations for non-LTI systems, such as substantially nonlinear or time-varying systems. In an effort to increase the effectiveness for such systems, this paper presents a learning input shaping technique (LIST), which iteratively updates the parameters of the IST from the previous trials. Simulations are presented for 4 different cases: 1) when the natural frequency or damping of a system does not estimated well; 2) when a system has time varying vibration; 3) when a system has nonlinear flexibility; and 4) when a closed loop system includes the saturation limit in the loop. The experiments are made by using a 6-DOF industrial robot to evaluate the method. Results of both the simulations and experiments show that the residual vibrations become considerably smaller as iteration goes on, thereby demonstrating the effectiveness of the LIST.
Collateral projections from the rat hippocampal formation to the lateral and medial prefrontal cortex

Projections from the hippocampal formation to the medial prefrontal cortex are well known. In this report we used two retrogradely transported tracers to show that a small but significant subpopulation of pyramidal neurons in area CA1 and subiculum of the hippocampal formation projects to the lateral prefrontal cortex. About half of these neurons also possess collateral projections to the medial prefrontal cortex. The neurons projecting only to the lateral PFC are found in the intermediate hippocampal formation and in the most ventral part of the temporal subdivision. On the other hand, most of the neurons projecting to the medial prefrontal cortex only are present in the temporal and ventral intermediate hippocampal formation, and their number decreases in the dorsal intermediate subdivision. The distribution of neurons having collateral projections is comparable to that of neurons projecting to the medial prefrontal cortex only. In view of proposed functional differences between the septal one‐third and the temporal two‐third of the hippocampal formation, it is of interest that the neurons projecting to the prefrontal cortex are only present in the temporal two‐thirds. Hippocampus 7:397–402, 1997. © 1997 Wiley‐Liss, Inc.
IDENTIFICATION AND PREVENTION OF MULTIPLE ACCOUNT IN SOCIAL MEDIA

Identity deception has become an increasingly important issue in the social media environment . The past methods for detecting fake profiles have mainly focused on detecting deception through verbal communication (e.g., speech or text). Although these methods yield a high detection accuracy rate, they are computationally inefficient for the social media environment . The work concentrate on detection method based on non-verbal behaviour for identity deception ,which can be applied to many types of social media . The main goal is to yield a high detection accuracy rate and computational efficiency for the social media environment. The number of users registering with social networking sites such as Facebook and Twitter keeps increasing at a rapid pace amounting to 82 percentage of the world’s online population. Social network usage has increased by 64% since 2005. Proposed work to use non verbal behavior to identify and prevent multiple accounts in social media. Thereby security and privacy issues will be decreased with accuracy. The main contributions of this work can be propose a computationally efficient method (applicable to all social media classifications) for detecting identity deception through the use of non-verbal user activity in the social media environment.
The Denotational Semantics-Based Formalized Standard of UML Sequence Diagrams

Unified Modeling Language (UML) provides various diagrams to depict system characteristics and complex environment from different viewpoints and different application layers. It also contains a lot of standard elements with vague and sparse semantics. Researching how to combine Unified Modeling Language (UML) with formal method in order to improve UML semantic accuracy is a hotspot of researches in software engineering because of the half formal characteristic of UML. This paper defines Syntax Domains, Abstract Syntax, Semantic Domains, Semantic Functions of UML sequence diagram using Denotational Semantics, formally depicts sequence diagram on the function of the each syntax object of sequence diagram. It provides the foundation for accuracy and consistency validation of UML sequence diagram.
Biosynthesis, Mode of Action, and Functional Significance of Neurosteroids in the Purkinje Cell

The brain has traditionally been considered to be a target site of peripheral steroid hormones. In addition to this classical concept, we now know that the brain has the capacity to synthesize steroids de novo from cholesterol, the so-called “neurosteroids. ” In the middle 1990s, the Purkinje cell, an important cerebellar neuron, was identified as a major site for neurosteroid formation in the brain of mammals and other vertebrates. This discovery has provided the opportunity to understand neuronal neurosteroidogenesis in the brain. In addition, biological actions of neurosteroids are becoming clear by the studies using the Purkinje cell, an excellent cellular model, which is known to play an important role in memory and learning processes. Based on the studies on mammals over the past decade, it is considered that the Purkinje cell actively synthesizes progesterone and estradiol from cholesterol during neonatal life, when cerebellar neuronal circuit formation occurs. Both progesterone and estradiol promote dendritic growth, spinogenesis, and synaptogenesis via each cognate nuclear receptor in the developing Purkinje cell. Such neurosteroid actions mediated by neurotrophic factors may contribute to the formation of cerebellar neuronal circuit during neonatal life. 3α,5α-Tetrahydroprogesterone (allopregnanolone), a progesterone metabolite, is also synthesized in the cerebellum and considered to act as a survival factor of Purkinje cells in the neonate. This review summarizes the current knowledge regarding the biosynthesis, mode of action, and functional significance of neurosteroids in the Purkinje cell during development in terms of synaptic formation of cerebellar neuronal networks.
Properties of Early-Type, Dry Galaxy Mergers and the Origin of Massive Elliptical Galaxies

The luminosity dependence of kinematic and isophotal properties of elliptical galaxies is investigated using numerical simulations of galaxy merging, combined with semianalytical models of hierarchical structure formation. Mergers of spiral galaxies as the only formation mechanism for elliptical galaxies can reproduce neither the kinematic and photometric properties of very massive elliptical galaxies nor the change from rotationally flattened, disky systems to anisotropic, boxy systems with increasing luminosity. We present numerical simulations showing that binary mergers of early-type galaxies open an additional channel for the formation of anisotropic, slowly rotating, boxy elliptical galaxies. Including this channel in a semianalytical model, we can successfully reproduce the observed trend that more luminous giant elliptical galaxies are more boxy and less flattened by rotation. This trend can be more strongly reproduced by suppressing residual gas infall and star formation for galaxies with stellar bulge masses M* ≥ 3 × 1010 M☉. Hence we propose that mergers of early-type galaxies play an important role in the assembly of massive elliptical galaxies.
MODELING GRAIN BOUNDARIES IN SOLIDS USING A COMBINED NONLINEAR AND GEOMETRICAL METHOD

The complex arrangements of atoms near grain boundaries are difficult to understand theoretically. We propose a phenomenological (Ginzburg–Landau-like) description of crystalline phases based on symmetries and some fairly general stability arguments. This method allows a very detailed description of defects at the lattice scale with virtually no tunning parameters, unlike the usual phase-field methods. The model equations are directly inspired from those used in a very different physical context, namely, the formation of periodic patterns in systems out-of-equilibrium (e.g. Rayleigh–Benard convection, Turing patterns). We apply the formalism to the study of symmetric tilt boundaries. Our results are in quantitative agreement with those predicted by a recent crystallographic theory of grain boundaries based on a geometrical quasicrystal-like construction. These results suggest that frustration and competition effects near a defect in crystalline arrangements have some universal features, of interest in solids or other periodic phases.
Carotid atherosclerosis is associated with inflammation and endothelial cell adhesion molecules in chronic haemodialysis patients.

BACKGROUND Recently emerging evidence suggests that endothelial adhesion molecules may participate in atherogenesis. The aim of the present report was to investigate the probable association of circulating ICAM-1, VCAM-1 and E-selectin with atherosclerotic disease in chronic haemodialysis (HD) patients. METHODS One hundred and twelve HD patients and 50 age- and sex-matched healthy normotensive controls participated in the study. Atherosclerotic disease in both groups was assessed by measuring intima-media thickness (IMT) and plaque score of the common carotid arteries using an ultrasound scanner. In addition, in a follow-up study, the survival of 81 patients after a mean period of 26 months was analysed in relation to ICAM-1 and VCAM-1 levels. RESULTS IMT and plaque score were significantly higher in HD patients compared with control subjects (P < 0.001 and P < 0.0001, respectively). The above ultrasonographic indices were correlated with age both in controls (P = 0.0001 and P = 0.002, respectively) and HD patients (P = 0.0001 and P = 0.0001, respectively). A significant relationship was observed between IMT and systolic blood pressure (BP) both in controls and in HD patients (P = 0.002 and P = 0.01, respectively). In HD patients, plaque score was also correlated with systolic BP (P = 0.02). In HD patients, IMT and plaque score were correlated significantly with log CRP values (P = 0.01 and P = 0.01, respectively). Multivariate analysis showed that log CRP values were a strong independent contributor to plaque score (P = 0.01). IMT was significantly correlated with ICAM-1 and VCAM-1 concentrations (P = 0.0001 and P = 0.003, respectively). Multivariate analysis showed that ICAM-1 concentrations were a strong independent correlate of IMT (P = 0.001). E-selectin concentrations did not show any relation with IMT or plaque score. During the follow-up period, 13 of the 81 patients died. Survival analyses showed that patients with increased ICAM-1 had a shorter survival than patients with normal ICAM-1 values and that serum ICAM-1 levels were a strong predictor of death. CONCLUSIONS In HD patients, carotid atherosclerosis is associated with inflammation and circulating levels of soluble adhesion molecules ICAM-1 and VCAM-1. The correlations between serum ICAM-1 and IMT and ICAM-1 and survival may indicate that this molecule could be a marker of a process that contributes to the high mortality of HD patients.
An Efficient Algorithm for Scheduling Problem with Batching and Common Due Window

Jobs share a common due window and belong to distinct families with sequence-independent setup tasks on a single machine. The window location and size are decision variables with linear penalties. Our objective is to find a schedule minimizing the sum of the weighted number of early and tardy jobs, together with the determination cost of the due window. Following several properties of an optimal schedule, a polynomial algorithm is firstly proposed and range it to P-problem.
The Development of Self-Regulation: Stability and Predictive Utility of Laboratory Task Performance Across Childhood and Adolescence

The development of self-regulation is dynamic, involving diverse skills and behavioral manifestations that change considerably across childhood and adolescence. The current study uses data from the NICHD Study of Early Child Care and Youth Development to analyze performance on laboratory tasks of self-regulation during four meaningful age periods: early childhood (36-54 months), during the transition to formal schooling (1st grade), middle childhood (3rd-5th grade), and adolescence (15 years). Primary research aims were to examine: 1) the developmental stability of self-regulation across childhood and adolescence; 2) how self-regulation at multiple points across development predicts various adaptive and maladaptive indicators of adolescent adjustment; and 3) the unique contribution of very early measures of self-regulation to the prediction of later adjustment. Latent factors derived from self-regulation task performance during the three childhood age periods were robust and stable over time, indicating that individuals’ rank-order of self-regulation was largely consistent across childhood. Adolescent measures were more problematic. Self-regulation during early and middle childhood differentially predicted adolescent adjustment. Early childhood self-regulation was related to positive attitudes toward school, and aggressive and antisocial behavior a decade later. Self-regulation in middle childhood, on the other hand, predicted academic achievement in adolescence. Very early indicators of self-regulation predicted both adaptive and maladaptive adjustment. Early childhood self-regulation explained unique variance in positive attitudes towards school and aggressive and antisocial behavior, beyond what was explained by self-regulation at later points in development. However, early childhood self-regulation was highly correlated with background characteristics. After accounting for the direct effect of gender, ethnicity, school readiness, and family income on adjustment, early childhood self-regulation did not explain additional variance in adolescent outcomes. Thus, individual variability in early self-regulation is meaningful for predicting later adjustment, but not more so than background characteristics that likely contribute to a child’s preparedness as he/she transitions to formal schooling. Findings illustrate the cascading effect of self-regulation skills from early childhood through adolescence, while also identifying the relative impact of self-regulation across development for predicting adolescent adjustment. Results highlight the importance of early childhood, as early self-regulation lays the foundation for later self-regulation skills, and ultimately, for successful functioning.
Step on the gas

This article has described the electrical power system studies that are necessary to ensure the correct and reliable operation of a large LNG plant. The features of typical LNG plants have been described and the required operational constraints on such systems discussed. The software analysis tools used for such system studies and the methodologies adopted to ensure that the proposed design meets the FEED requirements are discussed. The key performance criteria to be checked by load-flow, fault level, motor-starting, transient and dynamic stability and harmonic penetration studies are highlighted, with typical results from actual studies used to illustrate these points. The examples demonstrate that an iterative approach is required, as changes to satisfy one performance criteria may have a detrimental impact on another equally important criteria.
DDAS: Distance and Direction Awareness System for Intelligent Vehicles

Wireless technology has been widely used for applications of wireless Internet access. With the matured wireless transmission technology, the new demand on wireless applications is toward the concept of deploying wireless devices on transportation systems such as buses, trains and vehicles. Statistics of car accident cases show that car accidents are often caused from drivers unnoticing other approaching cars during driving. Without the assistants of automotive personal computer system (also called as Auto PC), during high-speed moving, driver always counts on himself/herself to look for all vehicles around him/her via limited vision and acoustic recognition. In case that the Auto PC is able to provide useful surrounding information, such as the directions and distances to nearby vehicles, to drivers, unnecessary collisions could be obviously avoided, especially in cases of changing lane, crossing intersection and making a turn. In this paper, we will introduce the concept of automatic distance and direction awareness system (DDAS) and describe the designed embedded DDAS integrated with three-wheel and four-wheel robot cars.
First space-borne measurements of methanol inside aged tropical biomass burning plumes using the ACE-FTS instrument

First measurements from space of upper tropospheric and lower stratospheric methanol profiles within aged fire plumes are reported. Elevated levels of methanol at 0–45° S from 30 September to 3 November 2004 have been measured by the high resolution infrared spectrometer ACE-FTS onboard the SCISAT satellite. Methanol volume mixing ratios higher than 4000 pptv are detected and are strongly correlated with other fire products such as CO, C 2 H 6 , and HCN. A sensitivity study of the methanol retrieval, accounting for random and systematic contributions, shows that the retrieved methanol profile is reliable from 8.5 to 16.5 km, with an accuracy of about 20% for measurements inside polluted air masses. The upper tropospheric enhancement ratio of methanol with respect to CO is estimated from the correlation plot between methanol and CO for aged tropical biomass burning plumes. This ratio is in good agreement with the ratio measured in the free troposphere (up to 12 km) by recent aircraft studies and does not suggest any secondary production of methanol by oxidation in aged biomass burning plumes.
Flexible finite-state lexical selection for rule-based machine translation

In this paper we describe a module (rule formalism, rule compiler and rule processor) designed to provide flexible support for lexical selection in rule-based machine translation. The motivation and implementation for the system is outlined and an efficient algorithm to compute the best coverage of lexical-selection rules over an ambiguous input sentence is described. We provide a demonstration of the module by learning rules for it on a typical training corpus and evaluating against other possible lexicalselection strategies. The inclusion of the module, along with rules learnt from the parallel corpus provides a small, but consistent and statistically-significant improvement over either using the highest-scoring translation according to a target-language model or using the most frequent aligned translation in the parallel corpus which is also found in the system’s bilingual dictionaries.