Miracle-dz/UniFAR-FTUs huggingface dataset:
Direct detection of dark matter in supersymmetric models

We evaluate neutralino–nucleon scattering rates in several well-motivated supersymmetric models, and compare against constraints on the neutralino relic density, BF(b→sγ) as well as the muon anomalous magnetic moment aμ. In the mSUGRA model, the indirect constraints favour the hyperbolic branch/focus point (HB/FP) region of parameter space, and in fact this region is just where neutralino–nucleon scattering rates are high enough to be detected in direct dark matter search experiments! In Yukawa unified SUSY SO(10) models with scalar mass non-universality, the relic density of neutralinos is almost always above experimental bounds, while the corresponding direct detection rates are below experimental levels. Conversely, in five-dimensional SO(10) models where gauge symmetry breaking is the result of compactification of the extra dimension, and supersymmetry breaking is communicated via gaugino mediation, the relic density is quite low, while direct detection rates can be substantial.
Purity and Enrichment of Laser-Microdissected Midbrain Dopamine Neurons

The ability to microdissect individual cells from the nervous system has enormous potential, as it can allow for the study of gene expression in phenotypically identified cells. However, if the resultant gene expression profiles are to be accurately ascribed, it is necessary to determine the extent of contamination by nontarget cells in the microdissected sample. Here, we show that midbrain dopamine neurons can be laser-microdissected to a high degree of enrichment and purity. The average enrichment for tyrosine hydroxylase (TH) gene expression in the microdissected sample relative to midbrain sections was approximately 200-fold. For the dopamine transporter (DAT) and the vesicular monoamine transporter type 2 (Vmat2), average enrichments were approximately 100- and 60-fold, respectively. Glutamic acid decarboxylase (Gad65) expression, a marker for GABAergic neurons, was several hundredfold lower than dopamine neuron-specific genes. Glial cell and glutamatergic neuron gene expression were not detected in microdissected samples. Additionally, SN and VTA dopamine neurons had significantly different expression levels of dopamine neuron-specific genes, which likely reflects functional differences between the two cell groups. This study demonstrates that it is possible to laser-microdissect dopamine neurons to a high degree of cell purity. Therefore gene expression profiles can be precisely attributed to the targeted microdissected cells.
Human gene therapy for RPE65 isomerase deficiency activates the retinoid cycle of vision but with slow rod kinetics

The RPE65 gene encodes the isomerase of the retinoid cycle, the enzymatic pathway that underlies mammalian vision. Mutations in RPE65 disrupt the retinoid cycle and cause a congenital human blindness known as Leber congenital amaurosis (LCA). We used adeno-associated virus-2-based RPE65 gene replacement therapy to treat three young adults with RPE65-LCA and measured their vision before and up to 90 days after the intervention. All three patients showed a statistically significant increase in visual sensitivity at 30 days after treatment localized to retinal areas that had received the vector. There were no changes in the effect between 30 and 90 days. Both cone- and rod-photoreceptor-based vision could be demonstrated in treated areas. For cones, there were increases of up to 1.7 log units (i.e., 50 fold); and for rods, there were gains of up to 4.8 log units (i.e., 63,000 fold). To assess what fraction of full vision potential was restored by gene therapy, we related the degree of light sensitivity to the level of remaining photoreceptors within the treatment area. We found that the intervention could overcome nearly all of the loss of light sensitivity resulting from the biochemical blockade. However, this reconstituted retinoid cycle was not completely normal. Resensitization kinetics of the newly treated rods were remarkably slow and required 8 h or more for the attainment of full sensitivity, compared with <1 h in normal eyes. Cone-sensitivity recovery time was rapid. These results demonstrate dramatic, albeit imperfect, recovery of rod- and cone-photoreceptor-based vision after RPE65 gene therapy.
Landscapes of Energies

Now that the curtain is falling on the era of cheap oil we are reminded once again of the vital role of energy for our existence. Even God appears to have understood the key role of energy, for according to the bible, upon creating the heavens and the earth, God’s second act of creation was to switch the light on (Genesis 1:1-3), providing a vital energy service in advance of anticipated future demand. The value of energy is of course recognised well beyond the realms of science and religion. Shifts in patterns of energy generation, control and use are very closely linked to power relations, including conquest and submission, expressed in ideology, enacted in governance and embedded in national, collective and individual identities. Lenin equated communism with electrification; Franco -and many a dictatorial regime sincesought to symbolise the virtue of his regime through the development of hydropower. The restoration of national pride and political independence of post-war France was expressed through nuclear power. The big car economy lies at the heart of the American dream and national identity – something that Hitler was perhaps hoping to emulate with his support for the Autobahn and Volkswagen. In short, the use of energy in human society, expressed by the practices through which it is harnessed, transported and consumed, has always played a key role in the structuring of identities, territories and landscapes.
Unaware Routing in Highly Variable Network Traffic Using Joint Security and Routing Analysis

The emergence of new applications on the Internet has created highly dynamic and changing traffic patterns. In order to route dynamic traffic with guarantee, quality of service without detection of traffic change becomes necessary. The security scheme using cryptographic key will be efficient enough to provide network confidentiality, but due to the time complexity and unavoidable growth of hackers knowledge it lacks behind in providing security for node threats. Hence, we provide security for the nodes by enhancing the security in the weaker side by encrypting the data using rijndael algorithm.
Toward non-conservative stability conditions for equilibrium points of genetic networks with SUM regulatory functions

An important problem in systems biology consists of establishing whether an equilibrium point of a genetic regulatory network is stable. This paper investigates this problem for genetic networks with SUMregulatory functions. It is shown that a sufficient condition for global asymptotical stability of an equilibrium point of these networks can be derived in terms of convex optimizations with LMI constraints by exploiting polynomial Lyapunov functions and SOS techniques. This condition is interesting because does not introduce approximations of the nonlinearities present in the genetic regulatory network, and the conservatism can be decreased by increasing the degree of the involved polynomials.
Self-segmentation of sequences

The paper presents an approach for hierarchical reinforcement learning that does not rely on a priori hierarchical structures. Thus the approach deals with a more difficult problem compared with existing work. It involves learning to segment sequences to create hierarchical structures, based on reinforcement received during task execution, with different levels of control communicating with each other through sharing reinforcement estimates obtained by each others. The algorithm segments sequences to reduce non-Markovian temporal dependencies, to facilitate the learning of the overall task. Initial experiments demonstrated the basic promise of the approach.
To Investigate the Fibrinogen and Some of Coagulation Factors in Anaerobic Exercise Training Women

Acute exercise causes a temporary short lasting activation of blood coagulation, platelet function, the extent of these alterations being significantly less pronounced in well trained athletes than in untrained persons. Therefore purpose of this study was to investigate the effect of anaerobic power exercise on coagulation factors in active women. The participants of this study were 30 healthy women assigned randomly to 2 groups of control (n=15) and test (n=15). The test group performance the RAST test (anaerobic power exercise), however, control group had no exercise training. Blood sample collected before and after training. Results showed mean fibrinogen and platelet increase after RAST test. We conclude that anaerobic power exercise may cause increase in platelet and fibrinogen levels in active women.
MULTI-VIEW TECHNIQUE FOR 3-D ROBOTIC OBJECT RECOGNITION SYSTEM USING NEURO-FUZZY METHOD

The recognition of objects is one of the most challenging goals in robotic vision system. The problems increase when the process of recognition involves three dimensional (3-D) objects. To overcome this problem, many researchers have proposed their own solution. In this paper, a multiview 3-D object recognition system based on neuro-fuzzy system is proposed. The system consists of two stages. The first stage is feature extraction of object. In practice, there are many techniques for feature extraction such as moment invariants, Fourier transform coefficients, M-transform etc. We use moment invariants for feature extraction. The second stage is the process of recognition. We use Multiple Adaptive Network based Fuzzy Inference System (MANFIS) as a classifier for this stage. This method has been successfully tested using five different objects. High recognition rate was obtained using the proposed method.
Exploring CAM Design For Network Processing Using FPGA Technology

Content Addressable Memory (CAM) is becoming increasingly important in the area of communication systems design. This paper investigates a number of CAM designs suitable for implementation on FPGA. Three fundamental designs are examined based on registers, RAM blocks and LUTs. The designs are synthesized with speed and area costs presented and evaluated. This shows how CAMs can be designed for use in FPGA’s in small to medium size applications where a CAM is otherwise unavailable.
Wnt Signaling Promotes Regeneration in the Retina of Adult Mammals

Regeneration in the mammalian CNS is severely limited. Unlike in the chick, current models hold that retinal neurons are never regenerated. Previously we demonstrated that, in the adult mammalian retina, Müller glia dedifferentiate and produce retinal cells, including photoreceptors, after acute neurotoxic injury in vivo. However, the number of newly generated retinal neurons is very limited. Here we demonstrate that Wnt (wingless-type MMTV integration site family)/β-catenin signaling promotes proliferation of Müller glia-derived retinal progenitors and neural regeneration after damage or during degeneration. Wnt3a treatment increases proliferation of dedifferentiated Müller glia >20-fold in the photoreceptor-damaged retina. Supplementation with retinoic acid or valproic acid induces differentiation of these cells primarily into Crx (cone rod homeobox)-positive and rhodopsin-positive photoreceptors. Notably, injury induces nuclear accumulation of β-catenin, cyclin D1 upregulation, and Wnt/β-catenin reporter activity. Activation of Wnt signaling by glycogen synthase kinase-3β inhibitors promotes retinal regeneration, and, conversely, inhibition of the signaling attenuates regeneration. This Wnt3a-mediated regeneration of retinal cells also occurs in rd mice, a model of retinal degeneration. These results provide evidence that Wnt/β-catenin signaling contributes to CNS regeneration in the adult mammal.
Logp quantified: the case for low-overhead local area networks

As we make an ongoing transition to switch-based networks, we find that the marketing focus is link bandwidth. This paper argues that many other factors, such as overhead, latency, communication pattern, message sizes, and contention contribute to overall communication performance. Our findings indicate that overhead is the dominant factor in determining communication performance, especially for request-response communication using small messages. Furthermore, an important class of applications, namely NFS file systems and transaction processing database systems, will not be able to take advantage of increases in network bandwidth unless host protocol software overheads are also lowered.
An Estimate of H0 from Keck Spectroscopy of the Gravitational Lens System 0957+561

We present long-slit LRIS/Keck spectroscopic observations of the gravitational lens system 0957+561. Averaged over all of our data, the rest-frame velocity dispersion σv of the central lens galaxy G1 is σv = 279 ± 12 km s-1. However, there appears to be a significant decrease in σv as a function of distance from the center of G1 that is not typical of the brightest cluster galaxies. Within 0. ″2 of the center of G1, we find the average σv = 316 ± 14 km s-1, whereas for positions greater than 0. ″2 from the center of G1, we find the average σv = 266 ± 12 km s-1. A plausible explanation is that G1 contains a central massive dark object of mass MMDO ≈ 4 × 109 h−1100 M☉ (h100 = H0/100 km s-1 Mpc-1), which contributes to the central velocity dispersion, and that the outer value of σv is the appropriate measure of the depth of the potential well of G1. The determination of a luminosity-weighted estimate of σv is essential for a determination of H0 from Q0957+561; our accurate measurements remove one of the chief uncertainties in the assumed form of the mass distribution of the lens. Thus, with the recent apparent reduction in the uncertainty in the measurement of the time delay for the images A and B of Q0957+561, ΔτBA = 417 ± 3 days (Kundić et al.), we obtain an estimate for the Hubble constant: H0 = 62 ± 7 km s-1 Mpc-1. If for some reason the trend of σv with slit position is spurious and we should use the dispersion averaged along the slit, then the estimate of H0 increases to 67 ± 8 km s-1 Mpc-1. These standard errors, however, do not include any contribution from any errors in the assumed form of the mass distribution of the lens. In particular, we used the mass model described by Falco, Gorenstein, & Shapiro, as updated by Grogin & Narayan. The reduced χ2 of model fits to the available position and magnification data for this system is relatively high (~4), indicating that the estimate of H0 may have a significant contribution from model errors. Further observations, discussed herein, should allow such errors to be estimated reliably.
Please Scroll down for Article Journal of Nonparametric Statistics Bivariate Splines for Spatial Functional Regression Models Bivariate Splines for Spatial Functional Regression Models

This article may be used for research, teaching and private study purposes. Any substantial or systematic reproduction, redistribution , reselling , loan or sub-licensing, systematic supply or distribution in any form to anyone is expressly forbidden. The publisher does not give any warranty express or implied or make any representation that the contents will be complete or accurate or up to date. The accuracy of any instructions, formulae and drug doses should be independently verified with primary sources. The publisher shall not be liable for any loss, actions, claims, proceedings, demand or costs or damages whatsoever or howsoever caused arising directly or indirectly in connection with or arising out of the use of this material. We consider the functional linear regression model where the explanatory variable is a random surface and the response is a real random variable, in various situations where both the explanatory variable and the noise can be unbounded and dependent. Bivariate splines over triangulations represent the random surfaces. We use this representation to construct least squares estimators of the regression function with a penalisation term. Under the assumptions that the regressors in the sample span a large enough space of functions, bivariate splines approximation properties yield the consistency of the estimators. Simulations demonstrate the quality of the asymptotic properties on a realistic domain. We also carry out an application to ozone concentration forecasting over the USA that illustrates the predictive skills of the method.
Tumor targeting using liposomal antineoplastic drugs

During the last years, liposomes (microparticulate phospholipid vesicles) have been used with growing success as pharmaceutical carriers for antineoplastic drugs. Fields of application include lipid-based formulations to enhance the solubility of poorly soluble antitumor drugs, the use of pegylated liposomes for passive targeting of solid tumors as well as vector-conjugated liposomal carriers for active targeting of tumor tissue. Such formulation and drug targeting strategies enhance the effectiveness of anticancer chemotherapy and reduce at the same time the risk of toxic side-effects. The present article reviews the principles of different liposomal technologies and discusses current trends in this field of research.
Designing a graduate entry route for police recruits: lessons from a rapid evidence assessment of other professions

ABSTRACT Policing in the UK is currently undergoing changes to the training and attained qualifications of entry level police officers. The College of Policing is in the process of developing three entry routes into the profession, one of which is a graduate conversion course for those new recruits who hold, at a minimum, a Bachelor’s degree. The objective of this research was to gather evidence on existing conversion courses to inform the development of this route. A rapid evidence assessment was undertaken to a narrative synthesis of the literature on graduate conversion courses in other professions. Fifty-one studies were identified and coded. Four main themes emerged from the available evidence as being central. These themes – learning styles, translating theory into practice, teaching methods and assessment were cross cut by pedagogical sub-themes of collaborative learning, and reflective practice. Policy and practice implications for a policing conversion course are drawn out to guide development and delivery of police training and education in the 21st century.
Microtubule Actin Crosslinking Factor 1 Regulates the Balbiani Body and Animal-Vegetal Polarity of the Zebrafish Oocyte

Although of fundamental importance in developmental biology, the genetic basis for the symmetry breaking events that polarize the vertebrate oocyte and egg are largely unknown. In vertebrates, the first morphological asymmetry in the oocyte is the Balbiani body, a highly conserved, transient structure found in vertebrates and invertebrates including Drosophila, Xenopus, human, and mouse. We report the identification of the zebrafish magellan (mgn) mutant, which exhibits a novel enlarged Balbiani body phenotype and a disruption of oocyte polarity. To determine the molecular identity of the mgn gene, we positionally cloned the gene, employing a novel DNA capture method to target region-specific genomic DNA of 600 kb for massively parallel sequencing. Using this technique, we were able to enrich for the genomic region linked to our mutation within one week and then identify the mutation in mgn using massively parallel sequencing. This is one of the first successful uses of genomic DNA enrichment combined with massively parallel sequencing to determine the molecular identity of a gene associated with a mutant phenotype. We anticipate that the combination of these technologies will have wide applicability for the efficient identification of mutant genes in all organisms. We identified the mutation in mgn as a deletion in the coding sequence of the zebrafish microtubule actin crosslinking factor 1 (macf1) gene. macf1 is a member of the highly conserved spectraplakin family of cytoskeletal linker proteins, which play diverse roles in polarized cells such as neurons, muscle cells, and epithelial cells. In mgn mutants, the oocyte nucleus is mislocalized; and the Balbiani body, localized mRNAs, and organelles are absent from the periphery of the oocyte, consistent with a function for macf1 in nuclear anchoring and cortical localization. These data provide the first evidence for a role for spectraplakins in polarization of the vertebrate oocyte and egg.
A novel methodology for brain tumor detection based on two stage segmentation of MRI images

Medical imaging modalities like Magnetic Resonance Imaging, Computed Tomography, Positron emission tomography are complex modalities. It contains different objects like soft tissues and bony structures along with the noise included during the process of image acquisition. Segmentation of these images is a challenging task, as we need to separate the different objects and noise to get better diagnostic results. This paper presents a novel methodology of two stage segmentation. In the first stage, we apply Gabor filter banks generated using different frequencies and orientations. In the filtered image Region Of Interest (ROI) is identified and iterative contour detection method is applied to the filtered image, which detects different objects in the image. Segmentation is achieved using discrete gray level sets. Tumor region is extracted using threshold segmentation and it is analyzed for shape and size. The simulation results obtained are very promising for the detection and analysis of the brain tumor.
Birinapant (TL32711), a Bivalent SMAC Mimetic, Targets TRAF2-Associated cIAPs, Abrogates TNF-Induced NF-κB Activation, and Is Active in Patient-Derived Xenograft Models

The acquisition of apoptosis resistance is a fundamental event in cancer development. Among the mechanisms used by cancer cells to evade apoptosis is the dysregulation of inhibitor of apoptosis (IAP) proteins. The activity of the IAPs is regulated by endogenous IAP antagonists such as SMAC (also termed DIABLO). Antagonism of IAP proteins by SMAC occurs via binding of the N-terminal tetrapeptide (AVPI) of SMAC to selected BIR domains of the IAPs. Small molecule compounds that mimic the AVPI motif of SMAC have been designed to overcome IAP-mediated apoptosis resistance of cancer cells. Here, we report the preclinical characterization of birinapant (TL32711), a bivalent SMAC-mimetic compound currently in clinical trials for the treatment of cancer. Birinapant bound to the BIR3 domains of cIAP1, cIAP2, XIAP, and the BIR domain of ML-IAP in vitro and induced the autoubiquitylation and proteasomal degradation of cIAP1 and cIAP2 in intact cells, which resulted in formation of a RIPK1:caspase-8 complex, caspase-8 activation, and induction of tumor cell death. Birinapant preferentially targeted the TRAF2-associated cIAP1 and cIAP2 with subsequent inhibition of TNF-induced NF-κB activation. The activity of a variety of chemotherapeutic cancer drugs was potentiated by birinapant both in a TNF-dependent or TNF-independent manner. Tumor growth in multiple primary patient–derived xenotransplant models was inhibited by birinapant at well-tolerated doses. These results support the therapeutic combination of birinapant with multiple chemotherapies, in particular, those therapies that can induce TNF secretion. Mol Cancer Ther; 13(4); 867–79. ©2014 AACR.
Performance Comparison on Java Technologies - A Practical Approach

Performance responsiveness and scalability is a make-or-break quality for software. Nearly everyone runs into performance problems at one time or another. This paper discusses about performance issues faced during one of the project implemented in java technologies. The challenges faced during the life cycle of the project and the mitigation actions performed. It compares 3 java technologies and shows how improvements are made through statistical analysis in response time of the application. The paper concludes with result analysis.