Miracle-dz/UniFAR-FTUs huggingface dataset:
Akt2 and SGK3 are both determinants of postnatal hair follicle development

SGK3, which previously has been shown to play a key role in hair follicle development in mice, is a member of the AGC family of serine‐threonine kinases. Mice lacking SGK3 have abnormal follicle cycling, which begins shortly after birth and ameliorates substantially with age. However, this developmental abnormality is not recapitulated in mice lacking closely related kinases Aktl, Akt2, or Akt3. To examine whether Akt2 interacts with SGK3 in postnatal hair development, we have generated and characterized Akt2/SGK3 double knockouts (DKOs). We find that the DKO mice have a defect in hair growth that is markedly worse than that of SGK3−/− mice and does not ameliorate with age. Morphologically, this defect is characterized by accelerated entry into catagen and through anagen, irregular hair follicle orientation, and increased expression of sebaceous glands. The defect is preceded by a profound failure to increase follicle matrix cell nuclear β‐catenin accumulation and proliferation at the onset of morphogenesis. Furthermore, in cultured keratinocytes, transfected Akt2 and SGK3 both stimulate transcription of a β‐catenin‐LEF1‐depen‐dent reporter gene. Thus, SGK3 and Akt2 both appear to play important roles in postnatal hair follicle morphogenesis, likely because of their redundant regulation of β‐catenin‐dependent transcriptional processes, which control hair follicle cell proliferation. —Mauro, T. M. , McCormick, J. A. , Wang, J., Boini, K. M. , Ray, L. , Monks, B. , Birnbaum, M. J., Lang, F. , and Pearce, D. Akt2 and SGK3 are both determinants of postnatal hair follicle development. FASEB J. 23, 3193–3202 (2009). www.fasebj. org
Brokerage vs . Cohesion and Collaborative Creativity : An Evolutionary Resolution

How do collaborative networks influence an individual’s creativity? Some have argued that structural brokerage – having direct ties to collaborators who do not have direct ties with one another leads to greater creativity. Others have argued for the benefits of cohesive and redundant ties between an individual’s collaborators. To resolve the controversy, we argue that brokerage confers contingent benefits, based on the degree of trust and non-redundant information between collaborators, the professional experiences of the individual, and whether the outcome is initial creativity or its eventual impact upon future creative search. We demonstrate that the very same social structure that enables generative creativity also inhibits its diffusion and subsequent impact. Evidence from the structural career histories of over 50,000 collaborative inventors supports the arguments.
Reduction of Motion Artifacts in the Recovery of Undersampled DCE MR Images Using Data Binning and L+S Decomposition

Background Motion is a major source of blurring and ghosting in recovered MR images. It is more challenging in Dynamic Contrast Enhancement (DCE) MRI because motion effects and rapid intensity changes in contrast agent are difficult to distinguish from each other. Material and Methods In this study, we have introduced a new technique to reduce the motion artifacts, based on data binning and low rank plus sparse (L+S) reconstruction method for DCE MRI. For Data binning, radial k-space data is acquired continuously using the golden-angle radial sampling pattern and grouped into various motion states or bins. The respiratory signal for binning is extracted directly from radially acquired k-space data. A compressed sensing- (CS-) based L+S matrix decomposition model is then used to reconstruct motion sorted DCE MR images. Undersampled free breathing 3D liver and abdominal DCE MR data sets are used to validate the proposed technique. Results The performance of the technique is compared with conventional L+S decomposition qualitatively along with the image sharpness and structural similarity index. Recovered images are visually sharper and have better similarity with reference images. Conclusion L+S decomposition provides improved MR images with data binning as preprocessing step in free breathing scenario. Data binning resolves the respiratory motion by dividing different respiratory positions in multiple bins. It also differentiates the respiratory motion and contrast agent (CA) variations. MR images recovered for each bin are better as compared to the method without data binning.
Calibration of a physics-based model of an anthropomimetic robot using Evolution Strategies

The control of tendon-driven and, in particular, of anthropomimetic robots using techniques from traditional robotics remains a very challenging task [1, 2]. Hence, we previously proposed to employ physics-based simulation engines to simulate the complex dynamics of this emerging class of robots [3] and to use the simulation model as an internal model for robot control [4]. This approach, however, relies on an accurate model to be successful. In this paper, we present the automated, steady-state pose calibration of a physics-based, anthropomimetic robot model using a (μ, λ)-Evolution Strategy. For the acquisition of the poses of the physical robot, a stereo-vision, infrared-marker based motion capture system with real-time capabilities was developed. The employed (μ, λ)-Evolution Strategy uses a Gaussian-based, non-isotropic, self-adapting mutation operator to explore the search space and reduce the simulation-reality gap. The obtained results are impressive, resulting in a reduction of joint angle errors in the range of one to two orders of magnitude and an absolute joint angle error of 0.5°-4.5° per pose evaluated.
Genome-Wide Gene by Environment Interaction Analysis Identifies Common SNPs at 17q21.2 that Are Associated with Increased Body Mass Index Only among Asthmatics

Asthmatics have an increased risk of being overweight/obese. Although the underlying mechanisms of this are unclear, genetic factors are believed to play an essential role. To identify common genetic variants that are associated with asthma-related BMI increase, we performed a genome-wide gene by environment (asthma) interaction analysis for the outcome of BMI in the Multi-Ethnic Study of Atherosclerosis (MESA) study (N = 2474 Caucasians, 257 asthmatics), and replicated findings in the Framingham Heart Study (FHS) offspring cohort (N = 1408 Caucasians, 382 asthmatics). The replicable tagging SNP, rs2107212, was further examined in stratified analyses. Seven SNPs clustered in 17q21.2 were identified to be associated with higher BMI among asthmatics (interaction p < 5×10−7 in MESA and p < 0.05 in FHS). In both MESA and FHS asthmatics, subjects carrying the A allele on rs2107212 had significantly higher odds of obesity than non-carriers, which was not the case for non-asthmatics. We further examined BMI change subsequent to asthma diagnosis over a period of 26 years in FHS and demonstrated greater BMI increase among asthmatics compared to non-asthmatics. Asthmatics carrying the A allele at rs2107212 had significantly greater net BMI increase over the 26-year period compared to non-asthmatics. In this study, we found that common genetic variants on 17q21.2 are associated with post-asthma BMI increase among Caucasians. This finding will help elucidate pathways involved in the comorbidity of asthma and obesity.
Cytogenetic impact of sodium chloride stress on root cells of Vigna radiata L. seedlings

Abstract Objectives The high salinization stress to seedling is the substantial ecological problem in the ongoing era. It negatively influences the growth that retard mitotic division by enhancing aberrations in nuclear chromatin. In the light of these views, the current work was designed to investigate the response of Vigna seedlings root tip cells to the presence of NaCl ions. Materials and methods NM-92 and NM19-19 seeds were imbibed separately in distilled water for 24 h and allowed to grow into 0, 50, 150, 250, and 350 mM NaCl solution for 24 h. Excised root tips were stained, and slides were scored at 100× objective for the mitotic index (MI) and chromosomal aberrations. Results Our data demonstrated that as NaCl molarity increased, the MI was declined along with various chromatin abnormalities. The 150 mM of NaCl showed more lagging (69%) of chromosomes during anaphase in NM19-19. The highest stickiness at metaphase stage (68%) was found in 250 mM NaCl in variety NM19-19. However, both varieties were differed non-significantly for c-mitosis that was recorded 99% at 350 mM NaCl concentration. Conclusions The NaCl ions toxicity induced various cytological anomalies in seedling roots that adversely affect the growth of Vigna seedlings.
Arc- and circle-visibility graphs

We study polar visibility graphs, graphs whose vertices can be represented by arcs of concentric circles with adjacency determined by radial visibility including visibility through the origin. These graphs are more general than the well-studied bar-visibility graphs and are characterized here, when arcs are proper subsets of circles, as the graphs that embed on the plane with all but at most one cut-vertex on a common face or on the projective plane with all cut-vertices on a common face. We also characterize the graphs representable using full circles and arcs.
Comparison of different MIMO-OFDM signal detectors for LTE

Long Term Evolution (LTE), is a standard for radio communications of highspeed data transmission for mobile phones and data business [1]. It is based on the Global System for Mobile communications (GSM)/ Enhanced Data rate for GSM Evolution (EDGE) and Universal Mobile Telecommunications System (UMTS)/ High-Speed Packet Access (HSPA) network technologies, increasing the capacity and speed using new modulation techniques [1, 2]. Orthogonal frequency-division multiplexing (OFDM) and multiple-input multiple-output (MIMO) are the key technologies of LTE. MIMO technology can significantly increase channel capacity and spectrum efficiency without occupying any more bandwidth. Signal detection algorithms are studied in this thesis: Zero-Forcing (ZF) detector, Minimum Mean Square Error (MMSE) detector, Maximum Likelihood (ML) detector, QR decomposition with M-algorithm maximum likelihood detector (QRM-MLD) and Sphere Decoding (SD) detector. The results of the study show that the optimal signal detector is superior to other signal detectors on bit-error-rate (BER) performance. The BER performance in a correlated MIMO-OFDM scenario of the detectors are also studied.
All about the with statement in JavaScript: removing with statements in JavaScript applications

The with statement in JavaScript makes static analysis of JavaScript applications difficult by introducing a new scope at run time and thus invalidating lexical scoping. Therefore, many static approaches to JavaScript program analysis and the strict mode of ECMAScript 5 simply disallow the with statement. To justify exclusion of the with statement, we should better understand the actual usage patterns of the with statement. In this paper, we present the usage patterns of the with statement in real-world JavaScript applications currently used in the 898 most popular web sites. We investigate whether we can rewrite the with statements in each pattern to other statements not using the with statement. We show that we can rewrite all the static occurrences of the with statement that do not have any dynamic code generating functions. Even though the rewriting process is not applicable to any dynamically generated with statements, our results are still promising. Because all the static approaches that disallow the with statement also disallow dynamic code generation, such static approaches can allow the with statement using our rewriting process. We formally present our rewriting strategy, provide its implementation, and show its faithfulness using extensive testing. We believe that removing with statements will simplify JavaScript program analysis designs without considering dynamic scope introduction while imposing fewer syntactic restrictions.
Exploring Potential Parallelism of Sequential Programs with Superblock Reordering

The growing number of processing cores in a single CPU is demanding more parallelism from sequential programs. But in the past decades few work has succeeded in automatically exploiting enough parallelism, which casts a shadow over the many-core architecture and the automatic parallelization research. However, actually few work was tried to understand the nature, inner structure, or amount, of the potentially available parallelism in programs. In this paper we will try to analyze at runtime the dynamic data dependencies among superblocks of sequential programs. We designed a Meta Reorder Buffer (Meta-RB) to measure and exploit the available parallelism, with which the superblocks are dynamically analyzed, reordered and dispatched to run in parallel on an ideal many-core processor, and the data dependencies and program correctness are still maintained. In our experiments, we observed that with the superblock reordering, the potential speedup ranged from 1.627 to 95.275, and reached 22.852 on average. The results shows that the potential parallelism of normal programs is still far from fully exploited by existing technologies, which makes the automatic parallelization a promising research direction for many-core architectures.
Data-driven Requirements Modeling: Some Initial Results with i

Requirements acquisition is widely recognized as a hard problem, requiring significant investments in time and effort. Given the availability of large volumes of data and of relatively cheap instrumentation for data acquisition, this paper explores the prospect of data-driven model extraction in the context of i* models. The paper presents techniques for extracting dependencies from message logs, and for extracting task-dependency correlations from process logs. The preliminary empirical results are encouraging.
Robust production plan with periodic order quantity under uncertain cumulative demands

In this paper, we are interested in a production planning process in collaborative supply chains. More precisely, we consider supply chains, where actors use Manufacturing Resource Planning process (MRPII). Moreover, these actors collaborate by sharing procurement plans.We focus on a supplier, who applies the Periodic Order Quantity (POQ) rule to plan a production integrating the uncertain procurement plan sent by her/his customer. The uncertainty of the procurement plan is expressed by closed intervals on the cumulative demands. In order to choose a robust production plan, under the interval uncertainty representation, the min-max criterion is applied. We propose algorithms for determining the set of possible costs of a given production plan - due to the uncertainty on the cumulative demands.We then construct algorithms for computing a robust production plan with respect to the min-max criterion: the algorithm based on iterative adding constraints and the polynomial algorithms under certain realistic assumptions.
Privacy-Preserving Data Analysis on Graphs and Social Networks

While literature within the field of privacy-preserving data mining (PPDM) has been around for many years, attention has mostly been given to the perturbation and anonymization of tabular data; understanding the role of privacy over graphs and networks is still very much in its infancy. In this chapter, we survey a very recent body of research on privacy-preserving data analysis over graphs and networks in an effort to allow the reader to observe common themes and future directions.
ASCOT: assisting search and creation of clinical trials

In this paper we present ASCOT, an efficient search application for clinical trials that is designed to aid writing new trials. Clinical trials are protocols describing medical research on humans. Although they are a valuable source of medical practice evidence, search is laborious due to the immense number of existing protocols. Writing a new trial includes composing detailed eligibility criteria, which might be time-consuming, especially for new researchers. ASCOT uses text mining and data mining methods to enrich clinical trials with metadata, that can be employed to narrow down search. In addition, ASCOT integrates an eligibility criteria recommendation component.
Deletion of Ribosomal S 6 Kinases Does Not Attenuate Pathological , Physiological , or Insulin-Like Growth Factor 1 Receptor – Phosphoinositide 3-Kinase-Induced Cardiac Hypertrophy

10.1128/MCB.24. 14.6231-6240.2004. 2004, 24(14):6231. DOI: Mol. Cell. Biol. Thomas and Seigo Izumo Mario Pende, Kathleen A. Martin, John Blenis, George Megan C. Sherwood, Adam L. Dorfman, Sarah Longnus, Julie R. McMullen, Tetsuo Shioi, Li Zhang, Oleg Tarnavski, 3-Kinase-Induced Cardiac Hypertrophy Receptor-Phosphoinositide Insulin-Like Growth Factor 1 Attenuate Pathological, Physiological, or Deletion of Ribosomal S6 Kinases Does Not
Designing touchpad user-interfaces for vehicles: which tasks are most suitable?

Designers of in-vehicle computing systems must consider which input devices are most suitable for use in the safety-critical driving situation. This paper describes a study aiming to establish which tasks are best supported by an in-vehicle touchpad system. Eighteen participants (50:50 right/left handed) drove three routes in a right-hand drive simulator while following a lead vehicle at a perceived safe distance. At specific points, participants were asked to carry out seven tasks of varying qualities using a prototype touchpad system, a touchscreen or a rotary controller interface. Results indicated that participants were most negative (in terms of preferences and performance) with the rotary controller interface. Conversely, the results for the touchpad versus the touchscreen interfaces were clearly task dependent. For instance, with the touchpad, subjective opinions and objective performance were most positive for tasks in which simple commands enabled drivers to bypass the need for complex menu interactions (e.g. changing the interior temperature). In contrast, results for the touchscreen were evidently superior for simple menu selection tasks (e.g. selecting a preset radio station). Conclusions are drawn regarding the nature of tasks that are best suited to alternative input devices within vehicles and the potential for a touchpad/touchscreen solution.
Buschke-Ollendorf Syndrome: Report of a Case and a Brief Molecular Overview

Buschke-Ollendorf syndrome (BOS) is a rare autosomal dominant disorder characterized by localized increases in bone density manifesting as osteopoikilosis or melorheostosis and connective tissue nevi, collagenomas. Manifestations are highly variable. It is caused by loss-of-function mutations in the LEMD3 gene, which codes for an inner nuclear membrane protein that is also known as MAN1. Six different mutations have been described to date without a clear genotype-phenotype correlation. Buschke-Ollendorf syndrome exemplifies the importance of TGFß signaling for bone and connective tissue homeostasis. Here, we report on a father and his daughter with typical BOS syndrome caused by a known nonsense mutation and provide an overview of what is now known of this rare disorder.
Quantum gl ∞, infinite q-Schur algebras and their representations

In this paper, we investigate the structure and representations of the quantum group U(∞) = Uυ(gl∞). We will present a realization for U(∞), following Beilinson–Lusztig–MacPherson (BLM) [1], and show that the natural algebra homomorphism ζr from U(∞) to the infinite q-Schur algebra S(∞, r) is not surjective for any r > 1. We will give a BLM type realization for the image U(∞, r) := ζr(U(∞)) and discuss its presentation in terms of generators and relations. We further construct a certain completion algebra K̂ † (∞) so that ζr can be extended to an algebra epimorphism ζ̃r : K̂ † (∞) → S(∞, r). Finally we will investigate the representation theory of U(∞), especially the polynomial representations of U(∞).
Why are chlorinated pollutants so difficult to degrade aerobically? Redox stress limits 1,3-dichloprop-1-ene metabolism by Pseudomonas pavonaceae

Chlorinated pollutants are hardly biodegradable under oxic conditions, but they can often be metabolized by anaerobic bacteria through organohalide respiration reactions. In an attempt to identify bottlenecks limiting aerobic catabolism of 1,3-dichloroprop-1-ene (1,3-DCP; a widely used organohalide) in Pseudomonas pavonaceae, the possible physiological restrictions for this process were surveyed. Flow cytometry and a bioluminescence reporter of metabolic state revealed that cells treated with 1,3-DCP experienced an intense stress that could be traced to the endogenous production of reactive oxygen species (ROS) during the metabolism of the compound. Cells exposed to 1,3-DCP also manifested increased levels of d-glucose-6-P 1-dehydrogenase activity (G6PDH, an enzyme key to the synthesis of reduced NADPH), observed under both glycolytic and gluconeogenic growth regimes. The increase in G6PDH activity, as well as cellular hydroperoxide levels, correlated with the generation of ROS. Additionally, the high G6PDH activity was paralleled by the accumulation of d-glucose-6-P, suggesting a metabolic flux shift that favours the production of NADPH. Thus, G6PDH and its cognate substrate seem to play an important role in P. pavonaceae under redox stress caused by 1,3-DCP, probably by increasing the rate of NADPH turnover. The data suggest that oxidative stress associated with the biodegradation of 1,3-DCP reflects a significant barrier for the evolution of aerobic pathways for chlorinated compounds, thereby allowing for the emergence of anaerobic counterparts.
Large Scale Terrain Generation from Tectonic Uplift and Fluvial Erosion

At large scale, landscapes result from the combination of two major processes: tectonics which generate the main relief through crust uplift, and weather which accounts for erosion. This paper presents the first method in computer graphics that combines uplift and hydraulic erosion to generate visually plausible terrains. Given a user‐painted uplift map, we generate a stream graph over the entire domain embedding elevation information and stream flow. Our approach relies on the stream power equation introduced in geology for hydraulic erosion. By combining crust uplift and stream power erosion we generate large realistic terrains at a low computational cost. Finally, we convert this graph into a digital elevation model by blending landform feature kernels whose parameters are derived from the information in the graph. Our method gives high‐level control over the large scale dendritic structures of the resulting river networks, watersheds, and mountains ridges.