Miracle-dz/UniFAR-FTUs huggingface dataset:
Deposition of Platelet RANTES Triggering Monocyte Recruitment Requires P-Selectin and Is Involved in Neointima Formation After Arterial Injury

Background—Chemokines expressed on atherosclerotic endothelium or deposited by activated platelets have been implicated in monocyte recruitment during atherogenesis and restenosis. Although the involvement of P-selectin in these processes is evident from studies in knockout mice, it has not been elucidated whether delivery of platelet chemokines requires P-selectin, thus serving as a P-selectin-dependent effector function. Methods and Results—Using immunofluorescence and laminar flow assays, we found that the deposition of the platelet-derived chemokine RANTES and monocyte arrest subsequently triggered by RANTES immobilized on inflamed endothelium are more efficient after preperfusion than after static preincubation of platelets and appear to depend on interactions of platelet but not endothelial P-selectin. This was revealed by the effects of P-selectin antibodies and comparison of P-selectin-deficient and wild-type platelets. Immunohistochemistry detected a substantial luminal expression of RANTES on neointimal lesions in wire-injured carotid arteries of apolipoprotein E (apoE)-deficient mice but not of mice with a combined deficiency in apoE and P-selectin (or platelet P-selectin). As assessed by histomorphometry, treatment of apoE-deficient mice with the RANTES receptor antagonist Met-RANTES markedly reduced neointimal plaque area and macrophage infiltration. Conclusions—Our data suggest that RANTES deposition and subsequent monocyte arrest are promoted by platelet P-selectin and involved in wire-induced intimal hyperplasia, and that blocking RANTES receptors attenuates neointima formation and macrophage infiltration. This mechanism represents an important component explaining the protection against neointimal growth in P-selectin-deficient mice and may represent a novel approach to the treatment of restenosis or atherosclerosis by the administration of chemokine receptor antagonists.
The Influence of Toothpaste Containing Australian Melaleuca alternifolia Oil and Ethanolic Extract of Polish Propolis on Oral Hygiene and Microbiome in Patients Requiring Conservative Procedures

The study was based on the use of a toothpaste with antiphlogistic activity, containing Australian Melaleuca alternifolia oil (tea tree oil—TTO) and ethanolic extract of Polish propolis (EEP). Fifty-one patients with varying conditions of the gingiva were divided into two groups. The study group received the toothpaste with TTO and EEP, while the control group received the same toothpaste but without TTO and EEP. Approximal plaque index (API), simplified oral hygiene index (OHI-s) and modified sulcus bleeding index (mSBI) were assessed in three subsequent stages. During each examination, swabs were employed for microbiological inoculation. During the period of use of toothpastes with TTO and EEP, a significant reduction of the API was observed, as assessed upon the control visit after 7 days and after 28 days, compared to baseline. A statistically significant reduction of mSBI was observed after 7 and 28 days of using the toothpaste with TTO and EEP, as compared to the value upon the initial visit. Statistically significant differences in the OHI-s value were observed in the study group, which was using the active toothpaste. The use of a toothpaste containing TTO and EEP helps to maintain microbiome balance. The observed stabilisation of bacterial microflora confirms the beneficial activity of toothpaste containing EEP and TTO compared to the control group, where the lack of these substances contributed to the emergence of qualitative and quantitative changes in oral microbiome.
Apolipoprotein E polymorphism as a predictor for cognitive decline and dementia in the Saudi general population over 65 years

Specific Apolipoprotein E (ApoE) genotypes are thought to be associated with risk for Alzheimer's disease (AD). It is essential to understand how this genetic factor affects cognitive decline and dementia in the general population. One hundred and fifty elderly persons residing at social nursing centers in different provinces of Saudi Arabia were tested for ApoE genotypes, using PCR amplification of genomic DNA followed by DNA digestion with Cfo I. All subjects were diagnosed with regard to cognitive decline and dementia. In the general Saudi population, the ApoE4 allele was found to be a weaker predictor for dementia than for AD. This may be a result of non-AD pathological processes and/or of most prevalent dementia at an age when the ApoE4 effect on the AD/dementia risk has decreased.
The Cannabinoids as Potential Antiepileptics

Abstract: Comparative studies of the anticonvulsant properties of the cannabinoids and prototype antiepileptic drugs in numerous animal seizure models demonstrate that (1) as an anticonvulsant, cannabidiol (CBD), in contrast to Δ9‐tetrahydrocannabinol (THC), is relatively selective in terms of both central nervous system (CNS) depressant and excitatory properties; (2) the potency of cannabidiol, unlike that of phenytoin and phenobarbital, varies greatly with the species; (3) the large potency difference between the cannabinoids and the antiepileptics in the mouse appears to be due to dispositional differences, because brain concentrations of all the drugs are very similar; (4) tolerance to the anticonvulsant properties of cannabidiol is not a prominent feature; in three seizure models, tolerance developed in one, but “reverse tolerance” developed in the other two; and (5) the results of a study of the electrophysiologic mechanisms of action indicate that cannabidiol produces some unique effects and that its spectrum of antiepileptic activity may be different from that of the prototype drugs. The anticonvulsant nature of cannabidiol suggests that it has a therapeutic potential in at least three of the four major types of epilepsy: grand mal, cortical focal, and complex partial seizures.
Discovery of Intrinsic Primitives on Triangle Meshes

The discovery of meaningful parts of a shape is required for many geometry processing applications, such as parameterization, shape correspondence, and animation. It is natural to consider primitives such as spheres, cylinders and cones as the building blocks of shapes, and thus to discover parts by fitting such primitives to a given surface. This approach, however, will break down if primitive parts have undergone almost‐isometric deformations, as is the case, for example, for articulated human models. We suggest that parts can be discovered instead by finding intrinsic primitives, which we define as parts that posses an approximate intrinsic symmetry. We employ the recently‐developed method of computing discrete approximate Killing vector fields (AKVFs) to discover intrinsic primitives by investigating the relationship between the AKVFs of a composite object and the AKVFs of its parts. We show how to leverage this relationship with a standard clustering method to extract k intrinsic primitives and remaining asymmetric parts of a shape for a given k. We demonstrate the value of this approach for identifying the prominent symmetry generators of the parts of a given shape. Additionally, we show how our method can be modified slightly to segment an entire surface without marking asymmetric connecting regions and compare this approach to state‐of‐the‐art methods using the Princeton Segmentation Benchmark.
Discovering arbitrary event types in time series

The discovery of events in time series can have important implications, such as identifying microlensing events in astronomical surveys, or changes in a patient's electrocardiogram. Current methods for identifying events require a sliding window of a fixed size, which is not ideal for all applications and could overlook important events. In this work, we develop probability models for calculating the significance of an arbitrary‐sized sliding window and use these probabilities to find areas of significance. Because a brute force search of all sliding windows and all window sizes would be computationally intractable, we introduce a method for quickly approximating the results. We apply our method to over 100 000 astronomical time series from the MACHO survey, in which 56 different sections of the sky are considered, each with one or more known events. Our method was able to recover 100% of these events in the top 1% of the results, essentially pruning 99% of the data. Interestingly, our method was able to identify events that do not pass traditional event discovery procedures. In this extended work, we present a generalization of our algorithm to discover different event types characterized by distinct patterns. Copyright © 2009 Wiley Periodicals, Inc. Statistical Analysis and Data Mining 2: 396‐411, 2009
Modelling and experimental measurements of the mechanical response of piezoelectric structures from millimetre to micrometre

Laser interferometry techniques have shown their ability to assess the mechanical response of a piezoelectric thin film. To support these investigations, a numerical study based on the finite element method is carried out: three-dimensional modelling of piezoelectric samples from bulk materials to thin films is examined. For each considered sample, a time-dependent analysis and a frequency domain study are performed. By performing time-dependent analysis, we obtain effective piezoelectric coefficient, d33, of the samples. The frequency domain study helps to calculate the frequency response of these samples. The calculated d33 values and the first frequency resonance values are then compared with the experimental data.
A theoretical study of the hole mobility in silicon–germanium heterostructures

The incorporation of Si1-xGex alloy heterostructures into conventional Si processes has been proposed as a means of improving the operating frequency and overall performance of Si field effect transistors. One parameter expected to benefit from this approach is the hole mobility, which would have important implications for high speed CMOS applications. Measured values of the hole mobility, however, have failed to live up to early expectations, and much ongoing research is directed at understanding whether this is an intrinsic limitation (e.g. due to alloy disorder scattering), or due to imperfections arising in the growth and fabrication process. In this thesis, a detailed theoretical study is presented of the hole mobility in single sub-band Si1-xGex heterostructures. [Continues. ]
Fat struts: Constructions and a bound

Given a lattice A C R, a cylinder anchored at two lattice points is called a strut if its interior does not contain a lattice point. We wish to determine the maximum radius of a strut of given length. Optimal struts are constructed in Z3 and Z4. We also derive, using a nonconstructive but elementary argument, an achievable lower bound on the product Z∊, where I and ∊ are the length and radius of a strut in Zn. The motivation for the problem comes from studying nonlinear analog communication systems.
Speaker-Dependent Variation in Content Selection for Referring Expression Generation

In this paper we describe machine learning experiments that aim to characterise the content selection process for distinguishing descriptions. Our experiments are based on two large corpora of humanproduced descriptions of objects in relatively small visual scenes; the referring expressions are annotated with their semantic content. The visual context of reference is widely considered to be a primary determinant of content in referring expression generation, so we explore whether a model can be trained to predict the collection of descriptive attributes that should be used in a given situation. Our experiments demonstrate that speaker-specific preferences play a much more important role than existing approaches to referring expression generation acknowledge.
Cheekbone and cheek area augmentation with the Briseida technique: Analysis of 1,000 cases and 8 years of experience

Background. Non-surgical implant procedures have been used in facial rejuvenation, whether to improve the physical appearance or to correct asymmetries in the face. These procedures have quite a few advantages over surgical procedures, including an immediate cosmetic result and a short recovery period. Methods: The Briseida technique involves infiltrating a filler (Hyaluronic Acid) in a linear, retrograde and fan-shaped fashion at supraperiosteal or subcutaneous level. 1,000 patients between 25 and 75 years of age, treated during the past 10 years for cheekbone and/or cheek area augmentation with the Briseida technique, have been included in this revision. Results: shorter down-time, less product required, no serious adverse effects, longlasting results. Conclusions: The technique allows the oval of the face to be re-modelled. It is minimally invasive, quickly performed, and produces natural results with few and mild side effects.
Exploring Non-Homogeneity and Dynamicity of High Scale Cloud through Hive and Pig

Cloud environment is usually associated with non-homogeneity and dynamicity in terms of resource usage and access at all levels. The study of this heterogeneous and non-uniform behavior is therefore an important problem. Google cluster trace which is a production trace released by Google in November 2014 serves as an example of a high scale Cloud environment. This paper deals with statistical analysis of this cluster trace. Since the size of production trace is very huge therefore, Hive which is a HadoopDistributed File System (HDFS) based platform for querying and analysis of big data, has been used. Hive was accessed through its Beeswax interface. The data was imported into HDFS through HCatalog. Apart from Hive, Pig which is a scripting language and provides abstraction on top of Hadoop was used. The method adopted deals with clustering and studying the distribution of arrival time of jobs, distribution of resource usage and also study of distribution of process runtime. To the best of our knowledge the analytical method adopted by us is novel. The findings revealed that jobs in a production trace can be classified into major, mediocre and minor resource usage types. Furthermore, it can be concluded from our study that arrival time of jobs followed weibull distribution. Usage of resources such as CPU and memory was observed to be following a zipf like distribution while study of process runtime shows that some jobs had very small values of runtime while others had very large values hence they followed heavy tailed distribution. Our analysis will help researchers in properly understanding the nonhomogenous and dynamic behavior synonymous with cloud environment. It will also help them in developing new algorithms for resource allocation and scheduling in Cloud.
Family Structure Attribute Estimation Method for Product Recommendation System

This paper proposes a method that estimatesconsumer family-structure attributesby focusing on purchasing behavior. The method generatesa relevance model for each product type between family-structure attributes and purchasing histories beforehand based on a consumer panel survey. Random Forest, a machine learning method, is employed to generate the model. The proposed method facilitates provisioning of smart recommendations to the consumer family such as suggesting products that reflectthe family structure attributes of the consumer.
Automatic acoustic segmentation in N-best list rescoring for lecture speech recognition

Speech segmentation is important in automatic speech recognition (ASR) and machine translation (MT). Particularly in N-best list rescoring processing, generalizing N-best lists consisting of as many as candidates from a decoding lattice requires proper utterance segmentation. In lecture speech recognition, only long audio recordings are provided without any utterance segmentation information. In addition, rather than only speech event, other acoustic events, e.g., laugh, applause, etc., are included in the recordings. Traditional speech segmentation algorithms for ASR focus on acoustic cues in segmentation, while in MT, speech text segmentation algorithms pay much attention to linguistic cues. In this study, we propose a three-stage speech segmentation framework by integrating both the acoustic and linguistic cues. We tested the segmentation framework for lecture speech recognition. Our results showed the effectiveness of the proposed segmentation algorithm.
Screening for Abnormal Blood Glucose and Type 2 Diabetes Mellitus: U.S. Preventive Services Task Force Recommendation Statement.

DESCRIPTION Update of the 2008 U.S. Preventive Services Task Force (USPSTF) recommendation on screening for diabetes in asymptomatic adults. METHODS The USPSTF reviewed the evidence on screening for impaired fasting glucose, impaired glucose tolerance, and type 2 diabetes in asymptomatic, nonpregnant adults who are at average or high risk for diabetes and its complications. POPULATION This recommendation applies to adults aged 40 to 70 years seen in primary care settings who do not have symptoms of diabetes and are overweight or obese. RECOMMENDATION The USPSTF recommends screening for abnormal blood glucose as part of cardiovascular risk assessment in adults aged 40 to 70 years who are overweight or obese. Clinicians should offer or refer patients with abnormal blood glucose to intensive behavioral counseling interventions to promote a healthful diet and physical activity. (B recommendation).
Invisibility and PT Symmetry: A Simple Geometrical Viewpoint

We give a simplified account of the properties of the transfer matrix for a complex one-dimensional potential, paying special attention to the particular instance of unidirectional invisibility. In appropriate variables, invisible potentials appear as performing null rotations, which lead to the helicity-gauge symmetry of massless particles. In hyperbolic geometry, this can be interpreted, via Mobius transformations, as parallel displacements, a geometric action that has no Euclidean analogy.
An elastic public VPN service model based on cloud computing

In this paper, we propose an elastic public VPN service model purely on the basis of cloud computing services. This VPN service is a SaaS styled service provided mainly to Small-and-Medium-Sized companies with a “pay as much as used” policy. Compared to traditional dynamic VPN solutions, in the basis of elastic and inexhaustible cloud resources, this model has the possibility to truly adjust the resources consumed on the fly after careful evaluation and prediction of the resource usage. In this paper, architecture and designing details of this model are discussed in three different views, and a simple load balancing algorithm is also introduced to adjust the computing resources by need and balance the work load dynamically.
Mutants of ETS domain PU.1 and GGAA/T recognition: Free energies and kinetics

The ETS family members display specific DNA binding site preferences. As an example, PU.1 and ETS‐1 recognize different DNA sequences with a core element centered over 5′‐GGAA‐3′ and 5′‐GGAA/T‐3′, respectively. To understand the molecular basis of this recognition, we carried out site‐directed mutagenesis experiments followed by DNA binding studies that use electrophoretic mobility shift assay (EMSA) and surface plasmon resonance methods. EMSA experiments identified amino acid changes A231S and/or N236Y as being important for PU.1 recognition of both 5′‐GGAA‐3′ and 5′‐GGAT‐3′ containing oligonucleotides. To confirm these data and obtain accurate binding parameters, we performed kinetic studies using surface plasmon resonance on these mutants. The N236Y substitution revealed a weak protein‐DNA interaction with the 5′‐GGAA‐3′ containing oligonucleotide caused by a faster release of the protein from the DNA (koff tenfold higher than the wild‐type protein). With the double mutant A231S‐N236Y, we obtained an increase in binding affinity and stability toward both 5′‐GGAA‐3′ and 5′‐GGAT‐3′ containing oligonucleotides. We propose that substitution of alanine for serine introduces an oxygen atom that can accept hydrogen and interact with potential water molecules or other atoms to make an energetically favorable hydrogen bond with both 5′‐GGAA‐3′ and 5′‐GGAT‐3′ oligonucleotides. The free energy of dissociation for the double mutant A231S‐N236Y with 5′‐GGAA‐3′ (ΔΔG((A231S‐N236Y) – (N236Y)) = ‐ 1.2 kcal mol−1) confirm the stabilizing effect of this mutant in the protein‐DNA complex formation. We conclude that N236Y mutation relaxes the specificity toward 5′‐GGAA‐3′ and 5′‐GGAT‐3′ sequences, while A231S mutation modulates the degree of specificity toward 5′‐GGAA‐3′ and 5′GGAT‐3′ sequences. This study explains why wild‐type PU.1 does not recognize 5′‐GGAT‐3′ sequences and in addition broadens our understanding of 5′‐GGAA/T‐3′ recognition by ETS protein family members.
Effects of Intimate Marital Relationships Upon Self-Reported Rearing Styles Among Japanese Parents of Young Children

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Fracture of the Fabella: An Uncommon Injury in Knee

The fabella is a sesamoid bone that may contribute to the stabilization of the posterolateral knee corner and it can very occasionally act as a source of atypical and rare knee pain and functional impairment. Fracture of the fabella is a rare but important clinical entity which may be overlooked clinically and radiographically. However, it causes an intermittent mechanical pain of the knee and it can mistakenly harm another knee pathology like intra-articular loose body. We report a case of a 21-year-old man who was sustaining a fracture of fabella following vehicle accident.
A system study of a wireless subcutaneous transmitter

This paper presents a system level study of a wireless subcutaneous transmitter for biotelemetry applications operating at 2.4GHz/ISM frequency band. The transmitter follows the IEEE 802.15. 4 ZigBee standards. Since efficient power consumption is a critical point in implantable devices, a highly efficient power amplifier (PA) is needed. A class E power amplifier which achieved PAE of 73.4% is used with ZigBee transmitter. The simulation results show that the transmitter has an error vector magnitude (EVM) of 10% which satisfies the 35% ZigBee requirement.
Map-based isolation of the leaf rust disease resistance gene Lr10 from the hexaploid wheat (Triticum aestivum L.) genome

More than 50 leaf rust resistance (Lr) genes against the fungal pathogen Puccinia triticina have been identified in the wheat gene pool, and a large number of them have been extensively used in breeding. Of the 50 Lr genes, all are known only from their phenotype and/or map position except for Lr21, which was cloned recently. For many years, the problems of molecular work in the large (1.6 × 1010 bp), highly repetitive (80%), and hexaploid bread wheat (Triticum aestivum L.) genome have hampered map-based cloning. Here, we report the isolation of the Lr gene Lr10 from hexaploid wheat by using a combination of subgenome map-based cloning and haplotype studies in the genus Triticum. Lr10 is a single-copy gene on chromosome 1AS. It encodes a CC-NBS-LRR type of protein with an N-terminal domain, which is under diversifying selection. When overexpressed in transgenic wheat plants, Lr10 confers enhanced resistance to leaf rust. Lr10 has similarities to RPM1 in Arabidopsis thaliana and to resistance gene analogs in rice and barley, but is not closely related to other wheat Lr genes based on Southern analysis. We conclude that map-based cloning of genes of agronomic importance in hexaploid wheat is now feasible, opening perspectives for molecular bread wheat improvement trough transgenic strategies and diagnostic allele detection.