Miracle-dz/UniFAR-FTUs huggingface dataset:
Interactions Between Ataxia Telangiectasia Mutated Kinase Inhibition, Poly(ADP-ribose) Polymerase-1 Inhibition and BRCA1 Status in Breast Cancer Cells

Background: Cells harboring BRCA1/BRCA2 mutations are hypersensitive to inhibition of poly(ADP-ribose) polymerase-1 (PARP-1). We recently showed that interference with PARP-1 activity by NU1025 is strongly cytotoxic for BRCA1-positive BT-20 cells but not BRCA1-deficient SKBr-3 cells. These unexpected observations prompted speculation that other PARP-1 inhibitor(s) may be more cytotoxic towards SKBr-3 cells. In addition, interference with the DNA damage signaling pathway via (for instance) Ataxia telangiectasia mutated (ATM) kinase inhibition may induce synthetic lethality in DNA repair-deficient breast cancer cells and pharmacological interference with ATM activity may sensitize breast cancer cells to PARP-1 inactivation. Methods: We determined drug cytotoxicity in human MCF-7 and SKBr-3 breast cancer cells using the CellTiterGLO Luminescent cell viability assay and a Tecan multi-label, multitask plate counter to measure generated luminescence. Changes in cell cycle progression were monitored by flow cytometric measurement of DNA content in cells stained with propidium iodide. Results: Unlike NU1025, AZD2461, a new PARP-1 inhibitor, markedly reduced the numbers of living MCF-7 and SKBr-3 cells. ATM kinase inhibition (CP466722) was also cytotoxic for both MCF-7 and SKBr-3 cells. Furthermore, AZD2461 enhanced the cytotoxicity of CP466722 in both cell lines by inducing apoptosis, and concurrent inhibition of ATM and PARP-1 reduced cell proliferation more strongly than either single treatment. Conclusions: Our data show that inhibition of PARP-1 by AZD2461 is synthetically lethal for NU1025-resistant MCF-7 and SKBr-3 breast cancer cells. They also indicate that DNA damage signaling is essential for survival of both SKBr-3 and MCF-7 cells, especially after inactivation of PARP-1.
Sleep–wake patterns in schizophrenia patients compared to healthy controls

Abstract Objectives. The aim of this study was to examine the differences between a sample of patients with schizophrenia and a sample of healthy controls in terms of sleep patterns and self-reported sleep quality and quality of life (QoL). Methods. Thirty-four schizophrenia outpatients (SP), 12 women and 22 men and 34 healthy subjects (HS), 15 women and 19 men, participated in this study. Wrist-actigraphy recordings and a sleep diary were used for sleep–wake cycle assessment. The quality of sleep was measured using the Pittsburgh Sleep Quality Index (PSQI), the QoL was evaluated using the World Health Organization Quality of Life – Abbreviated version (WHOQOL-Bref). The Positive and Negative Syndrome Scale (PANSS) was used for psychopathology assessment. Results. Patients sleep more at night, but have poorer sleep efficiency, than HS. Sleep latency and nighttime awakenings were significantly higher in SP. Self-reported QoL scores were significantly higher, in all four domains, in HS. Scores on PSQI were significantly higher in SP, indicating a worse quality of sleep. Two disturbed patterns of sleep–wake phase were found in SP: advance sleep-phase syndrome (ASPS) (N = 3) and irregular sleep–wake rhythm (N = 3). Conclusion. Schizophrenia patients have more disturbed sleep–wake patterns and poor sleep quality and quality of life compared with healthy controls.
Glottal spectral separation for parametric speech synthesis

The great advantage of using a glottal source model in parametric speech synthesis is the degree of parametric flexibility it gives to transform and model aspects of voice quality and speaker identity. However, few studies have addressed how the glottal source affects the quality of synthetic speech. Here, we have developed the Glottal Spectral Separation (GSS) method which consists of separating the glottal source effects from the spectral envelope of the speech. It enables us to compare the LF-model with the simple impulse excitation, using the same spectral envelope to synthesize speech. The results of a perceptual evaluation showed that the LF-model clearly outperformed the impulse. The GSS method was also used to successfully transform a modal voice into a breathy or tense voice, by modifying the LF-parameters. The proposed technique could be used to improve the speech quality and source parametrization of HMM-based speech synthesizers, which use an impulse excitation. Index Terms: Glottal Spectral Separation, HMM-based speech synthesis, LF-model.
Prediction of collaborative relationships by using network representation learning

In recent years, network representation learning (NRL) has been increasingly applied into web data analysis, such as video, image and text. Most of NRL methods can widely pursue nodes classification, community detection and link prediction tasks. Due to the nodes in these kinds of networks mostly contain the common attributes and share the same neighbors, we identify them as homogeneous networks, also including real-world networks such as social network, citation network and collaborative network. Therefore, it is nature that nodes tends to connect densely with high similarity. Supply network is one of the most typical collaborative network. It is not a homogeneous network, due to the nodes present two roles — supplier and customer. As the importance of supplier-customer relationships has become increasingly apparent that guides modern research and practice, the main impact of such researches is poured into the field of business management and operation research. However, prior studies have indicated that firms tended to manage their relationships in a more structural and relational approach, no existing literature have applied NRL into predicting business relationships. This paper proposes a novel NRL method and presents two contributions. First, we employ network analysis to extract three centralities, which can represent both local and global context. Second, we also include firm profiles as node contents to train the model by using machine learning techniques. To compare with other state-of-the-art NRL methods, our proposal assesses the concepts surrounding structural and relational characteristics and the extension of firm profiles to supply network, and also represents the infrastructure of the social science of business.
Age-related social, emotional, and behavioral differences in children and adolescents manifesting the symptom presentation of nonverbal learning disabilities

Investigations regarding age-related behavioral, emotional, and social dif ferences between younger and older groups of children with NLD remain scarce (Ozols & R ourke, 1988; Casey, Rourke, and Picard, 1991; Pelletier, Ahmad & Rourke, 2001) and have shown mixed results regarding the direction and severity of internalized and ext ernalized behaviors. The current study explored the behavioral, emotional, and social differ ences between two groups of children and adolescents. The “younger” group consisted of children between the ages of 6 and 10 years of age. The “older” group consisted of children and adolescents between the ages of 11 and 16 years. Seventy two patient char ts were selected for this study (males = 41, females = 31). A one factor Mult ivariate Analysis of Variance was run to investigate externalized and internaliz ed age-related differences between the two groups. No age-related differences were found indi cating that younger and older children may manifest the behavioral, emotional, and socia l characteristics of NLD in a similar manner. Additionally, results indic ated that more than half of the total sample had a comorbid diagnosis of Attention Deficit Hyperac tivity Disorder. However, results did not suggest that children and adolescents with NL D are at an increased risk for internalized psychopathology. When the NLD group was compar ed to a pediatric sample, it was found that the NLD group was more likely to demonstr ate explosive behaviors, anxiety, and self-esteem problems. Although no significant a gerelated differences were found in the current study, the investigation has implic ations for practice as information from this study may aid clinicians in making an ea rlier diagnosis of NLD in children and adolescents, as well as lead to better interventions.
More Tight Bounds for Active Self-Assembly Using an Insertion Primitive

We prove several limits on the behavior of a model of self-assembling particles introduced by Dabby and Chen (SODA 2013), called insertion systems, where monomers insert themselves into the middle of a growing linear polymer. First, we prove that the expressive power of these systems is equal to context-free grammars, answering a question posed by Dabby and Chen. Second, we give tight bounds on the maximum length and minimum expected time of constructed polymers in systems of three increasingly restricted classes. We prove that systems of $k$ monomer types can deterministically construct polymers of length $n = 2^{\Theta(k^{3/2})}$ in $O(\log^{5/3}(n))$ expected time. We also prove that if non-deterministic construction of a finite number of polymers is permitted, then the expected construction time can be reduced to $O(\log^{3/2}(n))$ at the trade-off of decreasing the length to $2^{\Theta(k)}$. If the system is allowed to construct an infinite number of polymers, then constructing polymers of unbounded length in $O(\log{n})$ expected time is possible. We follow these positive results with a set of lower bounds proving that these are the best possible polymer lengths and expected construction times.
TF-Label: a topological-folding labeling scheme for reachability querying in a large graph

Reachability querying is a basic graph operation with numerous important applications in databases, network analysis, computational biology, software engineering, etc. Although many indexes have been proposed to answer reachability queries, most of them are only efficient for handling relatively small graphs. We propose TF-label, an efficient and scalable labeling scheme for processing reachability queries. TF-label is constructed based on a novel topological folding (TF) that recursively folds an input graph into half so as to reduce the label size, thus improving query efficiency. We show that TF-label is efficient to construct and propose efficient algorithms and optimization schemes. Our experiments verify that TF-label is significantly more scalable and efficient than the state-of-the-art methods in both index construction and query processing.
Stage and Tissue Specific Expression of Four TCR Subunits in Olive Flounder (Paralichthys olivaceus)

TCR subunits are members of membrane-bound receptors which allow the fast and efficient elimination of the specific fish pathogens have regulated function in adaptive immunity. Sequence structure of TCR subunits have been reported for various teleosts, but the information of each TCR subunit functional characterization through expression analysis in fish was unknown. In this study, we examined the gene expression of TCR subunits in the early developmental stages and observed transcript levels in various tissues from healthy adult olive flounder by RT-PCR. The mRNA expression of alpha subunit was already detected in the previous hatching step. But the transcripts of another TCR subunit were not observed during embryo development and increased after hatching and maintained until metamorphosis at the same level. It was found that all TCR subunits mRNAs are commonly expressed in the immune-related organ such as spleen, kidney and gill, also weak expressed in fin and eye. TCR alpha and beta subunit were expressed in brain, whereas gamma and delta were not expressed same tissue. The sequence alignment analysis shows that there are more than 80% sequence homology between TCR subunits. Because it has a high similarity of amino acid sequence to expect similar in function, but expression analysis show that will have may functional diversity due to different time and place of expression.
Retinoic acid and analogs as potent inducers of differentiation and apoptosis. New promising chemopreventive and chemotherapeutic agents in oncology

Abstract In this report we will describe the preparation and the biological activity of a novel class of heterocyclic arotinoids endowed with potent cytotoxic and apoptotic acitivity. Structureactivity relationship studies revealed that the different stereochemistry at the C9 double bond of retinoids seems associated with a different biological activity: potent apoptotic activity for the cis-isomers, whereas differentiating activity for the trans structures. An interesting modified Wittig procedure that allows easily to arotinoids will also be described. The substitution of the alkenyl portion with a more flexible oxymethyl or aminomethyl moiety gave compounds with poor activity, whereas isoxazole-bridged arotinoids allowed compounds active also on multidrug-resistant (MDR) leukemia cell lines.
Role of auxiliary b 1-, b 2-, and b 3-subunits and their interaction with Nav 1 . 8 voltage-gated sodium channel q

The nociceptive C-fibers of the dorsal root ganglion express several sodium channel isoforms that associate with one or more regulatory b-subunits (b1–b4). To determine the effects of individual and combinations of the b-subunit isoforms, we co-expressed Nav1.8 in combination with these b-subunits in Xenopus oocytes. Whole-cell inward sodium currents were recorded using the twomicroelectrode voltage clamp method. Our studies revealed that the co-expression b1 alone or in combination with other b-subunits enhanced current amplitudes, accelerated current decay kinetics, and negatively shifted the steady-state curves. In contrast, b2 alone and in combination with b1 altered steady-state inactivation of Nav1.8 to more depolarized potentials. Co-expression of b3 shifted steady-state inactivation to more depolarized potentials; however, combined b1b3 expression caused no shift in channel availability. The results in this study suggest that the functional behavior of Nav1.8 will vary depending on the type of b-subunit that expressed under normal and disease states. 2004 Elsevier Inc. All rights reserved.
A Progressive Universal Noiseless Coder

The authors combine pruned tree-structured vector quantization (pruned TSVQ) with Itoh's (1987) universal noiseless coder. By combining pruned TSVQ with universal noiseless coding, they benefit from the "successive approximation" capabilities of TSVQ, thereby allowing progressive transmission of images, while retaining the ability to noiselessly encode images of unknown statistics in a provably asymptotically optimal fashion. Noiseless compression results are comparable to Ziv-Lempel and arithmetic coding for both images and finely quantized Gaussian sources. >
Power Optimization in Ad hoc Sensor Networks u sing Clustering Approach

Considering operational lifetime and load balancing as major constraints in the transmission of signals in the sensors of underwater ad hoc networks, we put forward in this paper a novel idea of using clustering approach to optimize the power consumption of the batteries in the sensors of the underwater ad hoc networks. The networks in underwater consists of a number of sensors and vehicles that are deployed to perform numerous tasks. One of the major challenges is the efficient utilization of the battery power which is limited and underwater sensor batteries usually cannot be recharged. In this paper we present use the multi hop to transmit the acoustic signals to minimize the distance and cluster sensors into groups as to communicate information only from one sensor aggregating the information for optimal utilization of power. We use a combination of Energy efficient hierarchical clustering and HEED clustering approach to cluster the sensors in the network as to minimize the distance and get maximum utilization of the operational life time of the battery.
Handling Translation Divergences in Generation-Heavy Hybrid Machine Translation

Abstract : This paper describes a novel approach for handling translation divergences in a Generation- Heavy Hybrid Machine Translation (GHMT) system. The approach depends on the existence of rich target language resources such as word lexical semantics, including in- formation about categorical variations and subcategorization frames. These resources are used to generate multiple structural variations from a target-glossed lexico-syntactic representation of the source language sentence. The multiple structural variations account for different translation divergences. The overgeneration of the approach is constrained by a target-language model using corpus-based statistics. The exploitation of target language resources (symbolic and statistical) to handle a problem usually reserved to Transfer and Interlingual MT is useful for translation from structurally divergent source languages with scarce linguistic resources. A preliminary evaluation on the application of this approach to Spanish-English MT proves this approach extremely promising. The approach however is not limited to MT as it can be extended to monolingual NLG applications such as summarization.
Ontological Paradigm for Focused Crawling based on Lexical Analysis

The semantic web is a synergetic movement led by International standards body, the WWW Consortium (W3C). It aims at converting the current web dominated by unstructured and semi structured documents into a “web of data”. Here two techniques of semantic web crawling are reviewed, one is ontology based and other is based on Lexical database . For this, architecture has been proposed which is a combination of above two techniques. The future of WWW is semantic web where Ontology and Lexical database are used for effective and fast searching by the web crawler. It is used for Information retrieval and question answering system. Ontology is a formal designation of shared approach it is basically approach of entities and their attributes.
Using models of the passive cardiac conductivity and full heart anisotropic bidomain to study the epicardial potentials in ischemia

In this paper we present a multi-scale approach for cardiac modeling. Based on the histology of cardiac tissue we created a geometrical model at a cellular scale to compute the effective conductivity of a piece of cardiac tissue. In turn, the conductivity values obtained from this cellular scale model were used in a whole heart model in which we simulated regional, subendocardial ischemia. Histological changes at a cellular level led to changes in the effective conductivity tensor of the tissue, which in turn resulted in changes in the epicardial potential patterns during the ST-interval. Two effects were studied using this multi-scale approach: (1) the influence of a dynamically growing ischemic region on the epicardial potentials, and (2) the influence of a dynamically changing conductivity in the ischemic zone due to changes in the underlying pathology. One specific finding was the presence of epicardial patterns consisting of a central elevation and two opposite depressions at the edges of the ischemic zone which rotated as the ischemia became more transmural. In addition, the epicardial potentials decreased in magnitude with the duration of the ischemia due to changes in the effective conductivity of the ischemic tissue predicted by the cellular level model.
Adaptive Optics Imaging of the Circumbinary Disk around the T Tauri Binary UY Aurigae: Estimates of the Binary Mass and Circumbinary Dust Grain Size Distribution

We have obtained high-resolution (FWHM = 0.″15) deep images of the UY Aur binary at J, H, and K' with the University of Hawaii adaptive optics instrument. We clearly detect an R ~ 500 AU circumbinary disk discovered with millimeter interferometry, making UY Aur the second young binary with a confirmed circumbinary disk. It appears that the disk is inclined ~42° from face on. We find that the near side of the disk is brighter than the far side by factors of 2.6, 2.7, and 6.5 times at K', H, and J, respectively. The original GG Tau circumbinary disk has been reexamined and is found to have similar flux ratios of 1.5, 2.6, and 3.6 at K', H, and J, respectively. A realistic power-law distribution (p = 4.7) of spherical dust aggregates (composed of silicates, amorphous carbon, and graphite) that reproduces the observed ISM extinction curve also predicts these observed flux ratios from Mie scattering theory. We find the observed preference of forward-scattering over back-scattering is well fitted (global χ2 minimization) by Mie scattering off particles in the range amin = 0.03 μm to amax = 0.5-0.6 μm. The existence of a significant population of grain radii larger than 0.6 μm is not supported by the scattering observations. Based on the observed disk inclination we derive an orbit for UY Aur where the mass for the binary is 1.6−0.67+0.47 M☉. Based on the observed K7 and M0 spectral types for UY Aur A and B, accretion disk models for the inner disks around the central stars were constructed. The models suggest that small (lower limit R ~ 5-10 AU) inner disks exist around B and A. It appears that B is accreting ~5 times faster than A, and that both inner disks may be exhausted in ~102-103 yr without replenishment from the outer circumbinary disk. Our images suggest that these inner disks may indeed be resupplied with material through thin streamers of material that penetrate inside the circumbinary disk. Currently it appears that such a streamer may be a close to UY Aur B. Comparison of our IR images and the millimeter images of the gas clearly show that the dust seen in our IR images traces the gas in the circumbinary disk, as was also the case with GG Tau.
Size and Shape Analysis of Error-Prone Shape Data

We consider the problem of comparing sizes and shapes of objects when landmark data are prone to measurement error. We show that naive implementation of ordinary Procrustes analysis that ignores measurement error can compromise inference. To account for measurement error, we propose the conditional score method for matching configurations, which guarantees consistent inference under mild model assumptions. The effects of measurement error on inference from naive Procrustes analysis and the performance of the proposed method are illustrated via simulation and application in three real data examples. Supplementary materials for this article are available online.
Joint Optimization of Task Placement and Routing in Minimizing Inter-DC Coflow Completion Time

With the rapidly growing of geo-distributed applications in the Internet, there is a huge amount of data generated in geo-distributed datacenters everyday. However, because of region privacy concerns and limitation of inter-DC WAN bandwidth, moving all the geo-distributed data to a single datacenter for centralized processing is not practical. Therefore, we intend to process the data where it generates by the big data applications and optimize the coflow routing in inter-DC WAN to improve the performance of the applications. Previous studies consider only routing or task placement optimization, which is inefficient. In this paper, we propose an algorithm PRO with an approximation ratio (1+\epsilon) that jointly optimize the placement of tasks and the routing of a coflow. Our proposed algorithm can efficiently reduce the coflow completion time.