Miracle-dz/UniFAR-FTUs huggingface dataset:
A novel subfamily of mouse cytosolic carboxypeptidases

Nnal is a recently described gene product that has sequence similarity with metallocar‐boxypeptidases. In the present study, five additional Nnal‐like genes were identified in the mouse genome and named cytosolic carboxypeptidase (CCP) 2 through 6. Modeling suggests that the carboxypeptidase domain folds into a structure that resembles metallocarboxypeptidases of the M14 family, with all necessary residues for catalytic activity and broad substrate specificity. All CCPs are abundant in testis and also expressed in brain, pituitary, eye, and other mouse tissues. In brain, Nnal/CCPl, CCP5, and CCP6 are broadly distributed, whereas CCP2 and 3 exhibit restricted patterns of expression. Nnal/CCPl, CCP2, CCP5, and CCP6 were found to exhibit a cytosolic distribution, with a slight accumulation of CCP5 in the nucleus. Based on the above results, we hypothesized that Nnal/CCPl and CCP2‐6 function in the processing of cytosolic proteins such as alpha‐tubuHn, which is known to be modified by the removal of a C‐terminal tyrosine. Analysis of the forms of alpha tubulin in the olfactory bulb of mice lacking Nnal/CCPl showed the absence of the detyrosinylated form in the mitral cells. Taken together, these results are consistent with a role for Nnal/CCPl and the related CCPs in the processing of tubulin. —Kalinina, E. , Biswas, R. , Berezniuk, I. , Hermoso, A. , Aviles, F. X. , Fricker, L. D. A novel subfamily of mouse cytosolic carboxypeptidases. FASEB J. 21, 836–850 (2007)
Production of the Serum Form of the Transferrin Receptor by a Cell Membrane-Associated Serine Protease

Abstract Recent investigations have demonstrated that the soluble form of the transferrin receptor in human serum is an 85-kDa fragment of intact receptor containing most of the extracellular domain. The recent demonstration of a remnant of the truncated receptor in cell membranes suggests that the soluble form arises from proteolytic cleavage of intact receptor. In the present investigation, domain-specific antibodies were used to further examine the subcellular location and nature of this proteolysis. HL60 cells were used in the investigation because the cells release an 85-kDa soluble form of the receptor to the culture supernatant that is identical to that found in serum. When intact, purified transferrin receptor from human placenta was incubated with the culture supernatant, no proteolytic activity could be demonstrated. However, when purified membrane fractions from HL60 cells were used in this incubation system, the 85-kDa fragment was produced. This activity was inhibited by serine protease inhibitors indicating that cell membrane fractions contain a serine protease capable of producing the serum form of the transferrin receptor.
Monetary Incentives in Support of Academic Achievement

Significant resources have been directed at understanding and alleviating the achievement gap in education. Most programs focused on this aim rely on a top-down approach, including funding for infrastructure improvement, curriculum development, class size, and teacher salaries. This article presents findings from a randomized field trial that evaluates a bottom-up approach in which high-achieving students of diverse racial and ethnic backgrounds from poor families are given monetary incentives to maintain their academic standing. The evaluation was designed to explore the role of monetary incentives as a mechanism for promoting resiliency in the face of poverty-related challenge. Discussion of what motivates students to learn is framed as a function of normal cognitive and socioemotional development in challenging environments. Evaluation findings indicate that monetary incentives are effective in promoting academic success to different degrees and for different reasons depending on students’ perception of the meaning of the incentive in relation to their emergent identity.
Self-calibrated multiple-lane detection system

We presented a multiple-lane detection system in this paper. To cope with both straight and curved road, the system recognized the road type based on the vehicle's GPS position and digital map data, and designated different schemes for detection. Unlike the known systems that have treated lane marking as a single entity, this system focused on the inner edge of the stripe to locate a vehicle in a lane accurately. The camera's installation parameters, especially the pitch angle, were estimated using the real-time detection results to compensate for changes in the vehicle's pose. Using an “estimate-detect” style, adjacent-lane markings were detected even when they were partly blocked by other vehicles.
Effect of systemic antimicrobial prophylaxis on microbial flora

Fifteen patients undergoing intensive chemotherapy for oat cell carcinoma of the lung in a protected environmental unit received antimicrobial prophylaxis with oral trimethoprim-sulfamethoxazole and short courses of parenteral ticarcillin, tobramycin, and miconazole. Altogether, 58 (65%) of 89 strains of aerobic bacteria and 28 (60%) of 47 strains of anaerobic bacteria present before prophylaxis were no longer cultured from stool specimens during prophylaxis. Ten strains of bacteria and four fungi were acquired in the stools during prophylaxis. Most fungi persisted in the throat and stools during prophylaxis. Bacterial infections occurred infrequently, but three patients developed Candida esophagitis. The regimen was well tolerated with minimal side effects.
Learning to associate object categories and label categories: A self-organising model

We present a model of early lexical acquisition. Successful word learning builds on pre-existing, self-organising categorisation capacities and through joint attentional events between the infant and the caregiver. Our model successfully accounts for the emergence of a lexical constraint, taxonomic responding, as well as a steep increase in the rate of acquisition of words, without any need for a new mechanism or rule. We discuss the role played by synapto-genesis in early infancy and pruning at the end of childhood in relation to word learning.
Transitional life events and trajectories of cigarette and alcohol use during emerging adulthood: latent class analysis and growth mixture modeling.

OBJECTIVE Emerging adulthood (ages 18-25 years) has been associated with elevated substance use. Transitional life events (TLEs) during emerging adulthood in relation to substance use are usually examined separately, rather than as a constellation. The purposes of this study were (a) to explore distinct subgroups experiencing various TLEs during emerging adulthood, (b) to identify heterogeneous trajectories of cigarette and alcohol use during emerging adulthood, and (c) to examine the association of TLEs with cigarette and alcohol use trajectories. METHOD Five waves of longitudinal data (mean age range: 19.5-26.0 years) were used from a community-based drug prevention program (n = 946, 49.9% female). Distinct subgroups of emerging adults who experienced various TLEs were identified using latent class analysis. Cigarette and alcohol use were examined using a latent growth mixture model. RESULTS A three-class model fit the data best in identifying TLE subgroups (new family, college attenders [NFCA]; uncommitted relationships, college attenders [URCA]; hibernators [HBN]). Three-trajectory models fit the data best for cigarette and alcohol use during emerging adulthood. The TLE categories were significantly associated with the cigarette (p < .05) and alcohol use groups (p < .001); specifically, the URCA and HBN groups were significantly more likely to be classified as accelerating cigarette users, relative to NFCA (ps < .05). The NFCA and HBN groups were significantly more likely to be classified as accelerating alcohol users, relative to URCA (ps < .01). CONCLUSIONS To characterize an "at-risk" emerging adult group for cigarette and alcohol use over time, a range of life events during emerging adulthood should be considered. Interventions tailored to young adulthood may benefit from targeting the absence of these life events typifying "independence" as a potential marker for underlying substance use problems and provide supplemental screening methods to identify young adults with similar issues.
Sandwich-structured polyaniline-graphene-polyaniline two-dimensional hybrid sheets for polymer nanocomposites with high dielectric constant and low dielectric loss

Novel poly(methyl methacrylate) (PMMA) nanocomposites with high dielectric constant and low loss were successfully fabricated by using sandwich-structured polyaniline-graphene-polyaniline (rPANI-GS-rPANI) hybrids sheets as fillers. The hybrid sheets were obtained by two steps: aniline was first in situ polymerized on both surfaces of graphene oxide (GO) sheets and then the PANI-GS-PANI sheets were reduced by hydrazine. The fully reduced hybrid sheets were denoted as rPANI-GS-rPANI, which exhibit an insulator-conductor-insulator sandwich structure. It was found that, the rPANI-GS-rPANI based PMMA nanocomposites not only have high dielectric constant but also show a low loss. For instance, the dielectric constant and dielectric loss of the nanocomposite are around 28 and 0.05 at 1 MHz, respectively, when the volume ratio of GS to PMMA is 6 vol%. This study not only provides a new way to prepare polymer nanocomposites with high permittivity and low dielectric loss, but also expands the application space of graphene based fillers.
Workspace and Joint Space Analysis of the 3-RPS Parallel Robot

The Accurate calculation of the workspace and joint space for 3 RPS parallel robotic manipulator is a highly addressed research work across the world. Researchers have proposed a variety of methods to calculate these parameters. In the present context a cylindrical algebraic decomposition based method is proposed to model the workspace and joint space. It is a well know feature that this robot admits two operation modes. We are able to find out the set in the joint space with a constant number of solutions for the direct kinematic problem and the locus of the cusp points for the both operation mode. The characteristic surfaces are also computed to define the uniqueness domains in the workspace. A simple 3-RPS parallel with similar base and mobile platform is used to illustrate this method.Copyright © 2014 by ASME
Alternating linearization for structured regularization problems by Minh Pham

OF THE DISSERTATION Alternating linearization for structured regularization problems by Minh Pham Dissertation Director: Andrzej Ruszczyński Xiaodong Lin We adapt the alternating linearization method for proximal decomposition to structured regularization problems. The method is related to two well-known operator splitting methods, the Douglas-Rachford and the Peaceman-Rachford method, but it has descent properties with respect to the objective function. Its convergence mechanism is related to that of bundle methods of nonsmooth optimization. A block coordinate descent method is developed to facilitate fast convergence. We also discuss implementation for large problems, with the use of specialized algorithms and sparse data structures. We present numerical results for several synthetic and real-world examples, including a three-dimensional fused lasso problem, which illustrate the scalability, efficacy, and accuracy of the method. We further extend the alternating linearization framework to the structured regularization problems with non-convex penalties. In this framework, the non-convex part of the objective function is approximated via a linear model. Therefore, in each iteration, the method solves a structured regularization problem. We present several numerical studies with synthetic data and cancer research data.
Image quality measurement through structural similarity based on higher order moments

Structural similarity index (SSIM) considers the loss of structural information as a degradation of quality. Structure of original and distorted images are compared by using low order moments, which are mean, variance and correlation. In this paper, we extend the SSIM by incorporating shape parameters of distributions, which are the higher order moments based skewness and kurtosis. We show that skewness and kurtosis adds useful extra information to SSIM, which is relevant in quantification of local structures. We also show that this additional information improves the correspondence of SSIM with human perception. Results are taken on various types of distorted images of a standard dataset and new SSIM is validated against SSIM index, mean square error and subjective ratings.
Influence of agonist induced internalization on [3H]Ro15‐4513 binding—an application to imaging fluctuations in endogenous GABA with positron emission tomography

Low affinity α1/α2 containing GABAA receptors are significantly less able to bind [(11) C]/[(3) H]Ro15-4513 following translocation to the endosomal environment. The alterations in [(11) C]Ro15-4513 binding observed in vivo following perturbations in endogenous GABA are likely driven by both alterations in receptor binding parameters following agonist induced internalisation and the GABA Shift.
Potential for expanded power in linkage studies using the ALLEGRO and MERLIN software programs

Multipoint linkage analysis in complex diseases requires the use of fast algorithms that can handle many markers and a large number of moderately sized pedigrees with unknown mode of inheritance. This need has led to the development of several competitive software programs. We recently completed a genomic screen of neural tube defects using GENEHUNTER-PLUS and the more recent ALLEGRO. The ALLEGRO software was found to offer expanded power for linkage studies, particularly for childhood onset diseases like neural tube defects, though the results must be treated with caution.
The Gap Junction Protein Connexin43 Is Degraded via the Ubiquitin Proteasome Pathway (*)

We investigated the degradation of the gap junction protein connexin43 in E36 Chinese hamster ovary cells and rat cardiomyocyte-derived BWEM cells. Treatment of E36 cells with the lysosomotropic amine, primaquine, for 16 h doubled the amount of connexin43 detected by immunoblotting and modestly increased the half-life of connexin43 in pulse-chase studies, suggesting that the lysosome played a minor role in connexin43 proteolysis. In contrast, treatment with the proteasomal inhibitor N-acetyl-L-leucyl-L-leucinyl-norleucinal led to a 6-fold accumulation of connexin43 and increased the half-life of connexin43 to 9 h. The role of ubiquitin in connexin43 degradation was examined in an E36-derived mutant, ts20, which contains a thermolabile ubiquitin-activating enzyme, E1. E36 and ts20 cells grown at the permissive temperature contained similar amounts of connexin43 detectable by immunoblotting. Heat treatment dramatically reduced the amount of connexin43 detected in E36 cells, while connexin43 levels in heat-treated ts20 cells did not change. E36 cells that were heat-treated in the presence of N-acetyl-L-leucyl-L-leucinyl-norleucinal did not lose their connexin43. Pulse-chase experiments showed the reversibility of the block to connexin43 degradation in ts20 cells that were returned to the permissive temperature. Finally, sequential immunoprecipitation using anti-connexin43 and anti-ubiquitin antibodies demonstrated polyubiquitination of connexin43. These results indicate that ubiquitin-mediated proteasomal proteolysis may be the major mechanism of degradation of connexin43.
UML Based Object-oriented Development : Experience with Inexperienced Developers

UML is becoming increasingly important in modern software development. Many articles describe UML features, but only very few of them discuss its usability in real projects. This article discusses features and usability of UML in software projects based on experiments and pilot projects. In the analysis some differences between UML and SDL (Specification and Description Language) are emphasized. This article deals with the impact of UML on newcomers in the world of object-oriented software development. The experiment with two groups of students (one trained in UML) was carried out. Their goal was to develop the solution for particular software system. Advantages and disadvantages of UML are also commented with respect to user’s level of knowledge, application type and requirements.
Crescent Mastopexy and Augmentation

We have defined a group of patients with a lesser degree of moderate breast ptosis whose ptosis correction is not adequately improved by augmentation alone but requires some elevation of the nipple-areola complex. We have selected the crescent excision mastopexy to provide this additional needed lift. Experience with 26 patients employing this technique has helped to define the indications and limitations for this approach. It seems to adequately provide the additional needed lift when nipple descent has been no more than 1.5 to 2 cm below the inframammary crease. Complications such as scar widening (46 percent) were reviewed, but seemed to be well tolerated by the patients.
Electrophysiologic Analysis of a Chronic Seizure Model After Unilateral Hippocampal KA Injection

Summary: Purpose: Unilateral intrahippocampal injections of kainic acid (KA) in rats produce spontaneous recurrent limbic seizures and morphologic changes in hippocampus that resemble hippocampal sclerosis in patients with medically refractory mesial temporal lobe epilepsy (MTLE), that form of temporal lobe epilepsy (TLE) associated with hippocampal sclerosis. Interictal in vivo electrophysiologic studies have revealed high‐frequency (250‐500 Hz) oscillations, termed fast ripples (FRs). These oscillations may uniquely occur in or adjacent to the site of hippocampal KA injection, in areas that generate spontaneous seizures. Similar field potentials also have been demonstrated in the epileptogenic region of patients with TLE. We have now characterized ictal electrographic patterns in this rat model for comparison with those in human TLE and begun to evaluate the role of FRs in the transition to ictus in the KA‐treated rat.
An Advanced Web Attack Detection and Prevention Tool

Purpose – The purpose of this paper is to introduce a new tool which detects, prevents and records common web attacks that mainly result in web applications information leaking using pattern recognition. It is a cross‐platform application, namely, it is not OS‐dependent or web server dependent. It offers a flexible attacks search engine, which scans http requests and responses during a webpage serving without affecting the web server performance.Design/methodology/approach – The paper starts with a study of the most known web vulnerabilities and the way they can be exploited. Then, it focuses on those web attacks based on input validation, which are the ones the new tool detects through pattern recognition. This tool acts as a proxy server having a simple GUI for administration purposes. Patterns can be detected in both http requests and responses in an extensible and manageable way.Findings – The new tool was compared to dotDefender, a commercial web application firewall, and ModSecurity, a widely used o.
Gynaecologic cancer patients' needs and experiences of supportive health services in New Zealand

Background and Objectives: Psychosocial care across the cancer continuum is a core component of quality gynaecologic cancer services. The purpose of this qualitative study was to identify needs for supportive care in a sample of New Zealand women and to understand to what extent they feel their needs are being met by health services.
Clinical Relation Extraction with Deep Learning

Relations between medical concepts convey meaningful medical knowledge and patients’ health information. Relation extraction on Clinical texts is an important task of information extraction in clinical domain, and is the key step of building medical knowledge graph. In this research, the task of relation extraction is based on the task of concept recognition and is implemented as relation classification by the adoption of a CRF model. The proposed CRF-powered classification model depends on features of context of concepts. To remedy the problem of word sparsity, a deep learning model is applied for features optimization by the employment of auto encoder and sparsity limitation. The proposed model is validated on the data set of I2B2 2010. The experiments give the evidence that the proposed model is effective and the method of features optimization with the deep learning model shows the great potential.
Ultra-small high frequency zero drift resonators and oscillators for non-GPS quartz crystal applications

This paper will discuss the variant of our successful wafer-level-packaged FBAR resonator technology that may have application in many traditional quartz applications. The advantage of our zero drift resonator and oscillator designs -over quartz-is the relatively small height and size compared to quartz. Performance, when normalized by frequency is comparable and the zero drift resonators repeatably demonstrate < 50 ppm drift over 120C (similar to raw quartz resonator performance).
Metadata of the article that will be visualized in OnlineFirst 1

Schedule Received 31 Revised 32 Accepted 33 Abstract Recent debates about memetics have revealed some widespread misunderstandings about Darwinian approaches to cultural evolution. Drawing from these debates, this paper disputes five common claims: (1) mental representations are rarely discrete, and therefore models that assume discrete, gene-like particles (i.e., replicators) are useless; (2) replicators are necessary for cumulative, adaptive evolution; (3) content-dependent psychological biases are the only important processes that affect the spread of cultural representations; (4) the “cultural fitness” of a mental representation can be Page 1 of 2 Testsite
Strain induced shift of Dirac points and the pseudo-magnetic field in graphene

We prove that the strain induced shift of the Dirac points in graphene is a curl field if the strain is nonuniform. This curl field provides a geometrical explanation of the strain induced pseudo-magnetic field. We also prove that the Dirac points must be confined within two triangles, each one having one-eighth the area of the Brillouin zone.
Two-year global simulation of L-band brightness temperatures over land

This letter presents a synthetic L-band (1.4 GHz) multiangular brightness temperature dataset over land surfaces that was simulated at a half-degree resolution and at the global scale. The microwave emission of various land-covers (herbaceous and woody vegetation, frozen and unfrozen bare soil, snow, etc.) was computed using a simple model [L-band Microwave Emission of the Biosphere (L-MEB)] based on radiative transfer equations. The soil and vegetation characteristics needed to initialize the L-MEB model were derived from existing land-cover maps. Continuous simulations from a land-surface scheme for 1987 and 1988 provided time series of the main variables driving the L-MEB model: soil temperature at the surface and at depth, surface soil moisture, proportion of frozen surface soil moisture, and snow cover characteristics. The obtained global maps constitute a useful dataset for a first evaluation of the sensitivity of future satellite-based L-band radiometry data to soil moisture.