Miracle-dz/UniFAR-FTUs huggingface dataset:
Seroprevalence and Socio-demographic Factors of Helicobacter pylori Infection in Patients with Dyspepsia in Kalibaru Primary Health Care North Jakarta.

AIM to identify the seroprevalence and its association with socio-demographic factors of Helicobacter pylori infection. METHODS a cross-sectional study was performed in 111 patients with dyspepsia (according to ROME III) who got treatment at Kalibaru Primary Health Care, North Jakarta from January to February 2015. Patients aged over 18 years and no history of gastrectomy were interviewed and 3 cc venous blood was drawn. Bioramps Laboratories's Immunochromatography Diagnostic Test (Bio M Pylori) was used to diagnose patient with Helicobacter pylori infection. Chi Square were used to analyzed socio-demographic and T test were used to analyze age. Variables with p<0.25 were analyzed by logistic regression. RESULTS seroprevalence of Helicobacter pylori of 111 dyspepsia patients who got treatment in Kalibaru Primary Health Care in this study was 22.5% (95% CI 14.8%-30.2%). There is no relation between age and Helicobacter pylori infection (p=0.270). Higher socio-economic class was related to lower risk Helicobacter pylori infection (OR 0.2; 95% CI 0.02-1.71). Higher crowding index was related to higher risk Helicobacter pylori infection (OR 1.2; 95% CI 0.37-4.49). Lower clean water index was related to higher risk Helicobacter pylori infection (OR 1.5; 95% CI 0.57-4.04). Lower sanitation status was related to higher risk Helicobacter pylori infection (OR 2.5; 95% CI 1.01-6.19). CONCLUSION seroprevalence of Helicobacter pylori infection in patient with dyspepsia in Kalibaru village was 22.5%. There is an association between sanitation and Helicobacter pylori infection.
A Genetic Linkage Map of the Mimetic Butterfly Heliconius melpomene

Heliconius melpomene is a mimetic butterfly that exhibits great geographic variation in color pattern. We present here a genetic linkage map based on analysis of genetic markers in 73 individuals from a single F2 family, offspring of a cross between H. m. cythera from western Ecuador and H. m. melpomene from French Guiana. A novel “three-step method” is described for the analysis of dominant markers in an F2 cross, using outbred parental strains and taking advantage of the lack of crossing over in female Lepidoptera. This method is likely to prove useful for future mapping studies in outbred species with crossing over restricted to one sex, such as the Lepidoptera and Drosophila. The resulting linkage map has 21 linkage groups corresponding to the 21 chromosomes of H. melpomene and includes 219 AFLP markers, 23 microsatellites, 19 single-copy nuclear genes, and the color pattern switch genes Yb and Sb. The marker density is high, averaging >1/7 cM. The total map length is 1616 cM and the average chromosome length is 77 cM. The genome size of H. melpomene was estimated to be 292 Mb, giving a relationship of physical-to-map distance of 180 kb/cM. This map forms the basis for future comparative linkage analysis of color pattern evolution in Heliconius.
Uldpe Blends With Ldpe and Eva for Film Extrusion

Blending facilitates alternatives in packaging design and is used widely by convertors in the industry. The advantage of blending comes from the ability to combine and enhance the attributes of two different polymers in one structure. In this paper, blends of ultra low density polyethylene (ULDPE) with low density polyethylene (LDPE) and ethylene vinyl acetate copolymer (EVA) are investigated to determine their combined attributes.
Nuclear DNA-Content in Mesenchymal Lesions in Dogs: Its Value as Marker of Malignancy and Extent of Genomic Instability

DNA-aneuploidy may reflect the malignant nature of mesenchymal proliferations and herald gross genomic instability as a mechanistic factor in tumor genesis. DNA-ploidy and -index were determined by flow cytometry in canine inflammatory or neoplastic mesenchymal tissues and related to clinico-pathological features, biological behavior and p53 gene mutational status. Half of all sarcomas were aneuploid. Benign mesenchymal neoplasms were rarely aneuploid and inflammatory lesions not at all. The aneuploidy rate was comparable to that reported for human sarcomas with significant variation amongst subtypes. DNA-ploidy status in canines lacked a relation with histological grade of malignancy, in contrast to human sarcomas. While aneuploidy was related to the development of metastases in soft tissue sarcomas it was not in osteosarcomas. No relation amongst sarcomas was found between ploidy status and presence of P53 gene mutations. Heterogeneity of the DNA index between primary and metastatic sarcoma sites was present in half of the cases examined. Hypoploidy is more common in canine sarcomas and hyperploid cases have less deviation of the DNA index than human sarcomas. The variation in the presence and extent of aneuploidy amongst sarcoma subtypes indicates variation in genomic instability. This study strengthens the concept of interspecies variation in the evolution of gross chromosomal aberrations during cancer development.
Feedback control systems as users of a shared network: communication sequences that guarantee stability

We investigate the stability of a collection of systems which are governed by linear dynamics and operate under limited communication. We view each system and its feedback controller as users on an idealized shared network which grants access only to a few system-controller pairs at any one time. A communication sequence, which plays the role of a network admission policy, specifies the amount of time available for each system to complete its feedback loop. Using Lyapunov theory, we give a sufficient condition for the existence of a stabilizing communication sequence and show how one can be constructed in a way that minimizes network usage. Our solution depends on the parameters of the underlying system(s) and on the number of controller-plant connections that can be maintained simultaneously. We include simulation results illustrating the main ideas.
Robots avoid potential failures through experience-based probabilistic planning

Robots should avoid potential failure situations to safely execute their actions and to improve their performances. For this purpose, they need to build and use their experience online. We propose online learning-guided planning methods to address this problem. Our method includes an experiential learning process using Inductive Logic Programming (ILP) and a probabilistic planning framework that uses the experience gained by learning for improving task execution performance. We analyze our solution on a case study with an autonomous mobile robot in a multi-object manipulation domain where the objective is maximizing the number of collected objects while avoiding potential failures using experience. Our results indicate that the robot using our adaptive planning strategy ensures safety in task execution and reduces the number of potential failures.
A Novel Node Selection Method of Bearings-only Sensors for Target Tracking in Wireless Sensor Networks

In this paper, we propose a novel information utility description for bearings-only sensors to meet the challenge of sensor arrangement in Wireless Sensor Networks (WSN) for tracking. In order to reduce calculation, we use the probability distribution function of the predicted target state, the sensing model and the position information of sensors to define information utility, thus avoiding the computationally burdensome estimation of the posteriori distribution. Through simulations, we compare the performances of different sensor selection methods in the means of mean square error (MSE). The results show that our method can attain a good tracking accuracy while saving large amounts of calculation.
Distributed CTL model checking

As model checking becomes increasingly used in industry, there is a big need for efficient new methods to deal with the large real-size designs. The author presents a novel method for improving the performance of model checking using parallelisation techniques. The model checking is performed on a distributed-memory environment consisting of a network of machines. The important two keys to focus on are the memory balance and communication reduction. A new algorithm for partitioning the large state space modelling industrial designs with hundreds of millions of states and transitions is proposed. The state space is supposed to be represented by a weighted Kripke structure (this is an extension of the Kripke structure where weights are associated with the states and with the transitions). This algorithm partitions the weighted Kripke structure by performing a combination of abstraction-partition-refinement on this structure. The CTL model checking algorithm is distributed on processes located on different network machines. Each one owns a partition and executes the algorithm on it. The algorithm for CTL model checking is designed to reduce the communication overhead between the processes. The experimental results on large real designs show that this method improves the quality of partitions, the communication overhead and then the overall performance of the model checking.
Effect of Hyperthermia on Prognosis After Acute Ischemic Stroke

Background and Purpose— Experimental studies have shown that hyperthermia is a determinant of poor outcome after ischemic stroke. Clinical studies evaluating the effect of temperature on poststroke outcome have, however, been limited by small sample sizes. We sought to evaluate the effect of temperature and timing of hyperthermia on outcome after ischemic stroke. Methods— Data of 5305 patients in acute stroke trials from the Virtual International Stroke Trials Archive (VISTA) data set were analyzed. Data for temperatures at baseline, eighth, 24th, 48th, and 72nd hours, and seventh day were assessed in relation to outcome (poor versus good) based on the modified Rankin Scale at 3 months. Hyperthermia was defined as temperature >37.2°C and poor outcome as 90-day modified Rankin Scale >2. Hazard ratios with 95% CIs were reported for hyperthermia in relation to the outcome. Logistic regression models, in relation to hyperthermia, were fitted for a set of preselected covariates at different time points to identify predictors/determinants of hyperthermia. Results— The average age of patients was 68.0±11.9 years, 2380 (44.9%) were females, and 42.3% (2233) received thrombolysis using recombinant tissue plasminogen activator. After adjustment, hyperthermia was a statistically significant predictor of poor outcome. The hazard ratios (95% CI) for poor outcome in relation to hyperthermia at different time points were: baseline 1.2 (1.0 to 1.4), eighth hour 1.7 (1.2 to 2.2), 24th hour 1.5 (1.2 to 1.9), 48th hour 2.0 (1.5 to 2.6), 72nd hour 2.2 (1.7 to 2.9), and seventh day 2.7 (2.0 to 3.8). Gender, stroke severity (National Institutes of Health Stroke Scale score >16), white blood cell count, and antibiotic use were significantly associated with hyperthermia (P≤0.01). Conclusions— Hyperthermia, in acute ischemic stroke, is associated with a poor clinical outcome. The later the hyperthermia occurs within the first week, the worse the prognosis. Severity of stroke and inflammation are important determinants of hyperthermia after ischemic stroke. In patients with acute ischemic stroke, aggressive measures to prevent and treat hyperthermia could improve the clinical outcomes.
Comparative nutritional evaluation of common buckwheat genotypes with major cereal and pseudocereals crops

A wide variations in moisture, crude protein, fat (ether extract), ash, crude fibre, carbohydrates, methionine, tryptophan, in vitro protein digestibility and oxalate were observed in buckwheat which ranged from 10.2 to10.9%,10.1 to 15.2%,1.6 to 2.9%,1.4 to 2.5,6.9 to 9.3%,61.8 to 67.7%,55.4 to 104.7 mg/g N, 60.9 to 78.2 mg/g N,65 to 78.8% and 100.3 to 155 mg/100g. Comparative performance of common buckwheat with major cereals and pseudocereals revealed the satisfactory presence of methionine, tryptophan, in vitro protein digestibility, crude fibre, ash, carbohydrates and protein content. Thus, buckwheat can be used for value addition of cereals and pulses.
Visual Quality Assessment of 3D Models

Geometric modifications of three-dimensional (3D) digital models are commonplace for the purpose of efficient rendering or compact storage. Modifications imply visual distortions that are hard to measure numerically. They depend not only on the model itself but also on how the model is visualized. We hypothesize that the model’s light environment and the way it reflects incoming light strongly influences perceived quality. Hence, we conduct a perceptual study demonstrating that the same modifications can be masked, or conversely highlighted, by different light-matter interactions. Additionally, we propose a new metric that predicts the perceived distortion of 3D modifications for a known interaction. It operates in the space of 3D meshes with the object’s appearance, that is, the light emitted by its surface in any direction given a known incoming light. Despite its simplicity, this metric outperforms 3D mesh metrics and competes with sophisticated perceptual image-based metrics in terms of correlation to subjective measurements. Unlike image-based methods, it has the advantage of being computable prior to the costly rendering steps of image projection and rasterization of the scene for given camera parameters.
Effective Screening Due to Minihalos during the Epoch of Reionization

We show that the gaseous halos of collapsed objects introduce a substantial cumulative opacity to ionizing radiation, even after the smoothly distributed hydrogen in the intergalactic medium has been fully reionized. This opacity causes a delay of Δz ≳ 1 in redshift between the time of the overlap of ionized bubbles in the intergalactic medium and the lifting of complete Gunn-Peterson Lyα absorption. The minihalos responsible for this screening effect are not resolved by existing numerical simulations of reionization.
A formal analysis of information disclosure in data exchange

We perform a theoretical study of the following query-view security problem: given a view V to be published, does V logically disclose information about a confidential query S? The problem is motivated by the need to manage the risk of unintended information disclosure in today's world of universal data exchange. We present a novel information-theoretic standard for query-view security. This criterion can be used to provide a precise analysis of information disclosure for a host of data exchange scenarios, including multi-party collusion and the use of outside knowledge by an adversary trying to learn privileged facts about the database. We prove a number of theoretical results for deciding security according to this standard. We also generalize our security criterion to account for prior knowledge a user or adversary may possess, and introduce techniques for measuring the magnitude of partical disclosures. We believe these results can be a foundation for practical efforts to secure data exchange frameworks, and also illuminate a nice interaction between logic and probability theory.
Industrial Applications of X-Ray Diffraction

Part 1 Introduction: the principles of diffraction analysis the practice of diffraction analysis progress and potential x-ray diffraction. Part 2 Industrial applications - high tech: semiconductors - integrated circuit manufacture superconductors -structures and applications aerospace - the aircraft gas turbine industry automotive - selected cases of applications petroleum exploration and production petroleum and petrochemicals petrochemicals - catalysts in refineries petrochemicals -vitality of catalysts research. Part 3 Metals: hydrometallurgy x-ray fractography. Part 4 Minerals and ceramics: mining -exploration and process control mining - mineral ores and products cement - quantitative phase analysis of Portland cement clinker silica glass-ceramics. Part 5 Polymers and composites: polymer industry paint and pigment industry pharmaceuticals -development and formulation pharmaceuticals - design and development of drug delivery systems. Part 6 Chemicals: energy -by-products of coal combustion in power plants lighting - design and development of luminescent materials photography - image capture and image storage materials detergents and cleansers -phase analysis of sodium phosphates museum - art and archaeology forensic science - every contact leaves a trace US Customs laboratories commercial service laboratory. Part 7 Specialty techniques - radiations: synchrotron usage by industry electron microscopy in industry. Part 8 Microstructures and instrumentation: line profile and sample microstructure thin films and multilayers residual stress and stress gradients residual stress development and texture formation during rolling contact loading Warren-Averbach applications microbeam crystallographic and elemental analysis high temperature and non-ambient x-ray diffraction. Part 9 Diffraction patterns: NIST standard reference materials for characterization of instrument performance grain orientation and texture structure analysis from powder data.
Towards integrated OR/CP energy optimization for robot cells

This paper concerns the energy optimization of systems with interacting robots. Pseudo spectral optimal control is used to collocate the continuous time dynamics of each robot. The resulting model is a multi stage, multi robot, trajectory planning problem with timing constraints. In the case of a given task sequence, the mathematical formulation is that of a Nonlinear Programming problem. We present two example problems where three 3-DoF robots work together. For the case the problem consists of undetermined sequences, we outline an algorithm which integrates Operations Research methods with those of Constraint Programming.
Predicting the yield of the proximal femur using high-order finite-element analysis with inhomogeneous orthotropic material properties

High-order finite-element (FE) analyses with inhomogeneous isotropic material properties have been shown to predict the strains and displacements on the surface of the proximal femur with high accuracy when compared with in vitro experiments. The same FE models with inhomogeneous orthotropic material properties produce results similar to those obtained with isotropic material properties. Herein, we investigate the yield prediction capabilities of these models using four different yield criteria, and the spread in the predicted load between the isotropic and orthotropic material models. Subject-specific high-order FE models of two human femurs were generated from CT scans with inhomogeneous orthotropic or isotropic material properties, and loaded by a simple compression force at the head. Computed strains and stresses by both the orthotropic and isotropic FE models were used to determine the load that predicts ‘yielding’ by four different ‘yield criteria’: von Mises, Drucker–Prager, maximum principal stress and maximum principal strain. One of the femurs was loaded by a simple load until fracture, and the force resulting in yielding was compared with the FE predicted force. The surface average of the ‘maximum principal strain’ criterion in conjunction with the orthotropic FE model best predicts both the yield force and fracture location compared with other criteria. There is a non-negligible influence on the predictions if orthotropic or isotropic material properties are applied to the FE model. All stress-based investigated ‘yield criteria’ have a small spread in the predicted failure. Because only one experiment was performed with a rather simplified loading configuration, the conclusions of this work cannot be claimed to be either reliable or sufficient, and future experiments should be performed to further substantiate the conclusions.
Delta-sigma modulation in fractional-N frequency synthesis

A description is given of a delta-sigma ( Delta - Sigma ) modulation and fractional-N frequency division technique for performing indirect digital frequency synthesis using a phase-locked loop (PLL). The use of Delta - Sigma modulation concepts results in beneficial shaping of the phase noise (jitter) introduced by fractional-N division. The technique has the potential to provide low phase noise, fast settling time, and reduced impact of spurious frequencies when compared with existing fractional-N PLL techniques. >
Presynaptic GABAB Receptors Regulate Experience-Dependent Development of Inhibitory Short-Term Plasticity

Short-term changes in synaptic gain support information processing throughout the CNS, yet we know little about the developmental regulation of such plasticity. Here we report that auditory experience is necessary for the normal maturation of synaptic inhibitory short-term plasticity (iSTP) in the auditory cortex, and that presynaptic GABAB receptors regulate this development. Moderate or severe hearing loss was induced in gerbils, and iSTP was characterized by measuring inhibitory synaptic current amplitudes in response to repetitive stimuli. We reveal a profound developmental shift of iSTP from depressing to facilitating after the onset of hearing. Even moderate hearing loss prevented this shift. This iSTP change was mediated by a specific class of inhibitory interneurons, the low-threshold spiking cells. Further, using paired recordings, we reveal that presynaptic GABAB receptors at interneuron-pyramidal connections regulate iSTP in an experience-dependent manner. This novel synaptic mechanism may support the emergence of mature temporal processing in the auditory cortex.
Product information

DESCRIPTION Teveten (eprosartan mesylate) is a non-biphenyl nontetrazole angiotensin II receptor (AT1) antagonist. It is chemically described as the monomethanesulphonate of (E)--[[2butyl-1-[(4-carboxyphenyl)methyl]-1H-imidazol-5-yl]methylene]-2-thiophenepropanoic acid. Eprosartan mesylate is a white to off-white powder with a melting point range of 248C to 250C and at room temperature has a solubility of 0.91 mg/mL in water at a pH of 7. Teveten tablets contain eprosartan mesylate equivalent to either 400 mg or 600 mg eprosartan as the active ingredient. The tablets also contain lactose, cellulosemicrocrystalline, starch pregelatinised maize, magnesium stearate, croscarmellose sodium (400 mg only), Opadry YS-1-14643-A (400 mg only), crospovidone (600 mg only) and Opadry OY-S-9603 (600 mg only).
Skeletal Muscle Fiber-type Switching, Exercise Intolerance, and Myopathy in PGC-1α Muscle-specific Knock-out Animals*

The transcriptional coactivator peroxisome proliferator-activated receptor γ coactivator 1α (PGC-1α) is a key integrator of neuromuscular activity in skeletal muscle. Ectopic expression of PGC-1α in muscle results in increased mitochondrial number and function as well as an increase in oxidative, fatigue-resistant muscle fibers. Whole body PGC-1α knock-out mice have a very complex phenotype but do not have a marked skeletal muscle phenotype. We thus analyzed skeletal muscle-specific PGC-1α knock-out mice to identify a specific role for PGC-1α in skeletal muscle function. These mice exhibit a shift from oxidative type I and IIa toward type IIx and IIb muscle fibers. Moreover, skeletal muscle-specific PGC-1α knock-out animals have reduced endurance capacity and exhibit fiber damage and elevated markers of inflammation following treadmill running. Our data demonstrate a critical role for PGC-1α in maintenance of normal fiber type composition and of muscle fiber integrity following exertion.