Miracle-dz/UniFAR-FTUs huggingface dataset:
Chronic Replication Problems Impact Cell Morphology and Adhesion of DNA Ligase I Defective Cells

Moderate DNA damage resulting from metabolic activities or sub-lethal doses of exogenous insults may eventually lead to cancer onset. Human 46BR.1G1 cells bear a mutation in replicative DNA ligase I (LigI) which results in low levels of replication-dependent DNA damage. This replication stress elicits a constitutive phosphorylation of the ataxia telangiectasia mutated (ATM) checkpoint kinase that fails to arrest cell cycle progression or to activate apoptosis or cell senescence. Stable transfection of wild type LigI, as in 7A3 cells, prevents DNA damage and ATM activation. Here we show that parental 46BR.1G1 and 7A3 cells differ in important features such as cell morphology, adhesion and migration. Comparison of gene expression profiles in the two cell lines detects Bio-Functional categories consistent with the morphological and migration properties of LigI deficient cells. Interestingly, ATM inhibition makes 46BR.1G1 more similar to 7A3 cells for what concerns morphology, adhesion and expression of cell-cell adhesion receptors. These observations extend the influence of the DNA damage response checkpoint pathways and unveil a role for ATM kinase activity in modulating cell biology parameters relevant to cancer progression.
PZM/ANN hybrid network for face recognition

Improved Pseudo-Zernike Moment (PZM) and artificial neural network (ANN) was combined within the hybrid architecture for face recognition. Improved PZM was used to extract face feature, and encoded to form the input vector sending to ANN. Experimental results demonstrate the present approach taking advantage of ANN, basically eliminates the effects of the change of face scale and rotation, and has better robust to variation of illumination, pose and facial expression. On the basis of previous study, the approach makes a further discussion on the application of Pseudo-Zernike Moments in the aspect of face recognition.
Driver Drowsiness Identification by Means of Passive Techniques for Eye Detection and Tracking

The aim of this paper is to describe a system whose final goal is to detect if a driver is drowsy, in order to prevent potentially danger situations. The system is based on the processing of the driver’s face image, acquired by a web cam installed on the dashboard of the car. After a brief introduction explaining the connection of the present work to the European project REFLECT, the relashonship between drowsiness condition and fatal car crashes is dicussed. Then, an overview of the most used techiques for face and eye detection is given, and the developed algorithm is described in detail. Finally, preliminary results of in-laboratory and in-car tests are presented and commented.
Minimal separators in P 4-sparse graphs

In this paper, we determine the minimal separators of P4-sparse graphs and establish bounds on their number. Specifically, we show that a P4-sparse graph G on n vertices and m edges has fewer than 2n/3 minimal separators of total description size at most 4m/3. The bound on the number of minimal separators is tight and is also tight for the class of cographs, a well known subclass of the P4-sparse graphs. Our results enable us to present a linear-time and linear-space algorithm for computing the number of minimal separators of a given P4-sparse graph; the algorithm can be modified to report the minimal separators of the input graph in linear time and space as well. © 2006 Elsevier B.V. All rights reserved.
Journal of Pharmaceutical and Biomedical Analysis Iridoid Glycoside-based Quantitative Chromatographic Fingerprint Analysis: a Rational Approach for Quality Assessment of Indian Medicinal Plant Gambhari (gmelina Arborea)

In most cases authors are permitted to post their version of the article (e.g. in Word or Tex form) to their personal website or institutional repository. Authors requiring further information regarding Elsevier's archiving and manuscript policies are encouraged to visit: a b s t r a c t A sensitive, selective and robust qualitative and quantitative densitometric high-performance thin layer chromatographic method was developed and validated for the determination of iridoid glycoside in the aerial part of Gambhari (Gmelina arborea). Iridoid gycoside 6-O-(2 ,3-dibenzoyl)-␣-l-rhamnopyranosylcatalpol (IG) was used as a chemical marker for the standardization of G. arborea plant extracts. The separation was performed on aluminum Kieselgel 60F 254 TLC plates using chloroform–methanol as mobile phase. The quantitation of IG was carried out using the densito-metric reflection/absorption mode at 240 and 430 nm after post-chromatographic derivatization with vanillin–sulphuric acid reagent. A precise and accurate quantification can be performed in the linear working concentration range of 1000–5000 ng/spot with good correlation (r 2 = 0.994). The method was validated for peak purities, precision, robustness, limit of detection (LOD) and quantitation (LOQ), etc., as per ICH guidelines. Specificity of quantitation was confirmed using retention factor (R f), UV–vis spectral correlation and ESI-MS spectra of marker compound (IG) in sample track.
The Neuronal Monoamine Transporter VMAT2 Is Regulated by the Trimeric GTPase Go2

Monoamines such as noradrenaline and serotonin are stored in secretory vesicles and released by exocytosis. Two related monoamine transporters, VMAT1 and VMAT2, mediate vesicular transmitter uptake. Previously we have reported that in the rat pheochromocytoma cell line PC 12 VMAT1, localized to peptide-containing secretory granules, is controlled by the heterotrimeric G-protein Go2. We now show that in BON cells, a human serotonergic neuroendocrine cell line derived from a pancreatic tumor expressing both transporters on large, dense-core vesicles, VMAT2 is even more sensitive to G-protein regulation than VMAT1. The activity of both transporters is only downregulated by Gαo2, whereas comparable concentrations of Gαo1 are without effect. In serotonergic raphe neurons in primary culture VMAT2 is also downregulated by pertussis toxin-sensitive Go2. By electron microscopic analysis from prefrontal cortex we show that VMAT2 and Gαo2 associate preferentially to locally recycling small synaptic vesicles in serotonergic terminals. In addition, Go2-dependent modulation of VMAT2 also works when using a crude synaptic vesicle preparation from this brain area. We conclude that regulation of monoamine uptake by the heterotrimeric G proteins is a general feature of monoaminergic neurons that controls the content of both large, dense-core and small synaptic vesicles.
X-ray spectra of XMM-Newton serendipitous medium flux sources

We report on the results of a detailed analysis of the X-ray spectral properties of a large sample of sources detected serendipitously with the XMM-Newton observatory in 25 selected fields, for which optical identification is in progress. The survey covers a total solid angle of ∼3.5 deg 2 and contains 1137 sources with ∼10 −15 10 43 erg s −1 , and therefore classified as type 2 AGNs) is significantly higher (40%), with a hint of moderately higher columns. After correcting for absorption, we do not find evidence for a redshift evolution of the underlying power law index of BLAGNs, which stays roughly constant at Γ ∼ 1.9, with intrinsic dispersion of 0.4. A small fraction (∼7%) of BLAGNs and NELGs require the presence of a soft excess, that we model as a black body with temperature ranging from 0.1 to 0.3 keV. Comparing our results on absorption to popular X-ray background synthesis models, we find absorption in only ∼40% of the sources expected. This is due to a deficiency of heavily absorbed sources (with NH ∼ 10 22 −10 24 cm −2 ) in our sample in comparison with the models. We therefore conclude that the synthesis models require some revision in their specific parameters.
Chinese International Students’ Expectations About Career Counseling

Chinese international students are the largest international student body (33.19%) in the United States. However, career services on college campuses are underutilized by this population despite their pressing needs for career guidance. Chinese international students’ expectations about career counseling may explain the disconnection between needs and service utilization. Although clients’ expectations about counseling have been studied extensively, no study has focused on Chinese international students’ expectations about career counseling. The current qualitative study surveyed 58 Chinese international students by using 10 open-ended questions that inquired about their expectations, including preferences and anticipations, about career counseling. Findings highlighted a number of needs and expectations for career counseling, such as outcome-driven activities, specificity of services, rapport with counselor, taking assessments, and culturally sensitive services. Clinical implications for career services on campus and future directions for research were discussed.
The Use of Passive Magnetic Methods in Inferring the Variability of Sub-Glacial Water Systems

Over the past few decades, glaciers worldwide have been retreating, resulting in changes in water resources with direct socio-environmental impacts. The flow of glaciers is intrinsically linked to the morphology and dynamics of sub-glacial water. However, these sub-glacial processes remain largely mysterious, and current techniques of modeling the glacial flow based on these sub-glacial structures is limited to theoretical models with few direct observations of these structures. Current techniques of observing sub-glacial water systems, including satellite altimetry, boreholes, and active source geophysics, are limited either spatially or temporally. In this study, we present the plausibility of using passive magnetic methods, including magnetic induction and magneto-tellurics, using natural external magnetic fields to detect sub-glacial water morphology and dynamics. Magnetic induction alone was found useful in detecting the presence of smaller bodies of water, but only the variability of large lake-like bodies of sub-glacial water. Magnetotellurics was proven more useful in detecting the presence of smaller bodies of water. We constructed several forward models using these techniques, and calculations of both novel potential measurements and notes on the limitations of these techniques have been made.
A Novel Method for Task Scheduling in Distributed Systems Using Memetic

Tasks scheduling problem is a key factor for a distributed system in order to achieve better efficiency. The problem of tasks scheduling in a distributed system can be stated as allocating tasks to the processor of each computer. The objective of this problem is minimizing makespan and communication cost, while maximizing CPU utilization. Scheduling problem is known as being NP-complete. Hence, many genetic algorithms have been proposed to search optimal solutions from entire solution space. However, these existing approaches are going to scan the entire solution space without consideration to techniques that can reduce the complexity of the optimization. In other words, the main shortcoming of these approaches is to spend much time doing scheduling, and hence, needing exhaustive time. Therefore, in this paper we use memetic algorithm to cope with this shortcoming. We apply Tabu search as local search in our proposed memetic algorithm. Extended simulation results demonstrate that the proposed method outperforms the existent GA-based method in terms of communication cost, CPU utilization and makespan.
Dropout prediction in MOOCs using behavior features and multi-view semi-supervised learning

While massive open online courses (MOOCs) have gained increasing popularity in recent years, dropout prediction has been an important task to solve due to the high rates of dropout students found in MOOCs. Current methods normally apply supervised learning methods to dropout prediction, using general features extracted from behavior records without the concern of behavior types. However, student learning behavior is diverse and there are no sufficient labeled data to train a model because it is a time-costing task to label enormous data in practice. To solve these problems, in this work, we proposed a novel multi-view semi-supervised learning model based on behavior features for the dropout prediction task. Specifically, we derived features from each type of learning behavior to form multi-view behavior features. In addition, based on these features, we proposed a new multi-view semi-supervised learning method to make use of a large number of unlabeled data to assist insufficient labeled data for improving prediction performance. We conducted experiments on KDD Cup 2015 dataset, and the results show that our proposed method achieves better prediction of student dropouts as compared to state-of-the-art approaches.
Uplink Coordinated Multi-Point Reception for LTE-Advanced Systems

Coordinated Multi-Point transmission/reception (CoMP) is one of the candidate techniques for LTE-Advanced systems to increase the cell average and cell edge user throughput in both uplink and downlink. This paper presents uplink CoMP-MU-MIMO scheme and the corresponding system level performance evaluation which shows that the uplink CoMP-MU-MIMO joint processing can bring significant gains to both the average sector throughput and the cell edge user throughput.
Segmentation of cDNA microarray images using parallel spectral clustering

Microarray technology generates large amounts of expression level of genes to be analyzed simultaneously. This analysis implies microarray image segmentation to extract the quantitative information from spots. Spectral clustering is one of the most relevant unsupervised methods able to gather data without a priori information on shapes or locality. We propose and test on microarray images a parallel strategy for the Spectral Clustering method based on domain decomposition with a criterion to determine the number of clusters.
Isolation , identification , and phylogenetic analysis of reassortant low-pathogenic avian influenza virus H 3 N 1 from Pakistan

During routine avian influenza surveillance in Pakistan, a low-pathogenic avian influenza virus (LPAI) subtype H3N1 was isolated for the first time from domestic chickens. The higher seroprevalence of H3N1 was recorded in both commercial and domestic poultry in ecological zones of Pakistan where the geographical proximity with neighboring countries and attractive birding sites provide better opportunities for frequent movements of wild and migratory birds, and their intermingling with the local domestic and commercial poultry. Subsequent whole genome sequencing of this virus revealed a new introduction of a reassortant Eurasian avian strain, which was distinguishable from corresponding human and swine strains isolated elsewhere. Phylogenetically, the HA gene was mostly clustered with Nordic (Scandinavian) strains of influenza viruses, whereas the NA and PB1 genes showed a maximum nucleotide sequence homology with the Indian H11N1, and the PB2 gene was found to be closely related to the Altai H5N2. The Matrix and NP genes of H3N1 mostly clustered with the European avian influenza viruses (AIV), whereas its NS and PA genes showed maximum nucleotide homologies with the African (Egypt) AIV strains. A sequence and amino acid analysis revealed an LP motif, avian-like receptor specificity, potential glycosylation sites, and sensitivities to oseltamivir, zanamivir, and amantadine. Some point mutations possessed by this Pakistani AIV H3N1 were also found in human, equine, and swine H3 influenza viruses. This H3N1 isolate showed less nucleotide sequence homology with the previously known Pakistani AIV as compared with other Eurasian AIV strains.
Confounding effect of comorbidity in survival studies in patients on renal replacement therapy.

BACKGROUND After taking other confounding factors into account, the impact of comorbidity on mortality was investigated when comparing mortality between five European countries, dialysis modalities and renal disease groups. METHODS The study included 15 571 incident patients on renal replacement therapy (RRT) from five national or regional registries participating in the European Renal Association-European Dialysis and Transplant Association Registry that collect comorbidity data. The presence of diabetes mellitus, ischaemic heart disease, peripheral vascular disease, cerebrovascular disease and malignancy was recorded at the start of RRT. RESULTS The comorbidities were each independently associated with mortality, with hazard ratios (HRs) ranging from 1.40 (95% CI: 1.30-1.51) for peripheral vascular disease to 1.65 (95% CI: 1.48-1.83) for diabetes. Age, gender, primary renal disease, modality and country together explained 14.4% of the variance in mortality; the comorbidities explained an additional 1.9%. In the comparison of renal vascular disease with glomerulonephritis, the crude HR of 2.40 (95% CI: 2.12-2.72) changed to 1.24 (95% CI: 1.09-1.41) after adjustment for age, gender, primary renal disease, treatment modality and country and to 1.06 (95% CI: 0.93-1.22) after further adjustment for the comorbidities. For the comparison between countries and other patient groups, the change in the survival estimate after adjustment for comorbidity was less. CONCLUSION Comorbidity is an important predictor for mortality. However, after adjustment for age, gender, primary renal disease, treatment modality and country, when comparing outcomes between patient groups the influence of comorbidity may be less important than expected.
The Passenger-Mix Problem in the Scheduled Airlines

Deregulation has opened up many opportunities and challenges in the transportation industry—opportunities to increase profits and challenges to keep from being outflanked by competition. A goal of particular interest to the scheduled airlines is to set prices more adaptively and to change them more rapidly. A difficult problem arises when many passengers with different itineraries compete for a limited number of seats on a single-flight segment. The problem is complicated by the existence of different fare classes, many flight segments, and different demands across time. For any given set of prices, flight-segment capacities, and passenger-carrying demand, there is some number of passengers at each fare class on each flight segment that will optimize revenue. Knowledge of such an optimum can be used not only in pricing analysis but also in setting policies to influence the passenger fare-class mix so that the optimum will be more nearly achieved in actual practice. We describe a method for identifying the.
Computational models predict larger muscle tissue strains at faster sprinting speeds.

INTRODUCTION Proximal biceps femoris musculotendon strain injury has been well established as a common injury among athletes participating in sports that require sprinting near or at maximum speed; however, little is known about the mechanisms that make this muscle tissue more susceptible to injury at faster speeds. PURPOSE This study aimed to quantify localized tissue strain during sprinting at a range of speeds. METHODS Biceps femoris long head (BFlh) musculotendon dimensions of 14 athletes were measured on magnetic resonance (MR) images and used to generate a finite-element computational model. The model was first validated through comparison with previous dynamic MR experiments. After validation, muscle activation and muscle-tendon unit length change were derived from forward dynamic simulations of sprinting at 70%, 85%, and 100% maximum speed and used as input to the computational model simulations. Simulations ran from midswing to foot contact. RESULTS The model predictions of local muscle tissue strain magnitude compared favorably with in vivo tissue strain measurements determined from dynamic MR experiments of the BFlh. For simulations of sprinting, local fiber strain was nonuniform at all speeds, with the highest muscle tissue strain where injury is often observed (proximal myotendinous junction). At faster sprinting speeds, increases were observed in fiber strain nonuniformity and peak local fiber strain (0.56, 0.67, and 0.72 for sprinting at 70%, 85%, and 100% maximum speed). A histogram of local fiber strains showed that more of the BFlh reached larger local fiber strains at faster speeds. CONCLUSIONS At faster sprinting speeds, peak local fiber strain, fiber strain nonuniformity, and the amount of muscle undergoing larger strains are predicted to increase, likely contributing to the BFlh muscle's higher injury susceptibility at faster speeds.
An Algerian Arabic-French Code-Switched Corpus

Arabic is not just one language, but rather a collection of dialects in addition to Modern Standard Arabic (MSA). While MSA is used in formal situations, dialects are the language of every day life. Until recently, there was very little dialectal Arabic in written form. With the advent of social-media, however, the landscape has changed. We provide the ﬁrst romanized code-switched Algerian Arabic-French corpus annotated for word-level language id. We review the history and sociological factors that make the linguistic situation in Algerian unique and highlight the value of this corpus to the natural language processing and linguistics communities. To build this corpus, we crawled an Algerian newspaper and extracted the comments from the news story. We discuss the informal nature of the language in the corpus and the challenges it will present. Additionally, we provide a preliminary analysis of the corpus. We then discuss some potential uses of our corpus of interest to the computational linguistics community.
macrophage-derived chemokine ( CCL 22 ) when combined with low levels of ADP , thrombin , epinephrine or LDL oxidized by hypochlorous acid causes irreversible platelet aggregation

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An Algorithm to Derive Use Case Diagrams from Business Process Models

This paper describes an algorithm to transform business process models into a functional requirements specification, specified in the form of use case diagrams. The benefit of such an algorithm is that it helps to draw up a functional requirements specification more quickly, because business process models may be available in an enterprise, while use case diagrams have to be developed by performing interviews. The use case diagrams that result from applying the algorithm, specify a software system that provides automated support for the original business processes. We show this with a case study from practice.