Miracle-dz/UniFAR-FTUs huggingface dataset:
eIF3a improve cisplatin sensitivity in ovarian cancer by regulating XPC and p27Kip1 translation

The eukaryotic translation initiation factor 3a (eIF3a) is one of the core subunits of the translation initiation complex eIF3, responsible for ribosomal subunit joining and mRNA recruitment to the ribosome. Our previous study identified that it was correlated with platinum response in lung cancer. The current study aims to test the hypothesis that eIF3a may affect the drug response and prognosis of ovarian cancer patients receiving platinum-based chemotherapy by regulating xeroderma pigmentosum complementation group C (XPC) and p27Kip1. Immunohistochemistry and western blot was used to determine the expression of eIF3a in 126 human ovarian cancer tissues followed by association analysis of eIF3a expression with patient's response and survival. Ectopic over-expression and RNA interference knockdown of eIF3a were carried out in A2780/cisplatin (DDP) and its parental A2780 cells, respectively, to determine the effect of altered eIF3a expression on cellular response to cisplatin by employing MTT assay. Western Blot analyses were also carried out to determine the regulation of eIF3a on XPC and p27Kip1. eIF3a expression was associated with response of ovarian cancer patients to DDP-based chemotherapy and their survival. Overexpression and knockdown of eIF3a increased and decreased the cellular response to cisplatin in A2780/DDP and A2780 cells, respectively. In addition, XPC and p27Kip1 were down regulated by eIF3a. eIF3a improves ovarian cancer patients' response to DDP-based chemotherapy via down regulating XPC and p27Kip1.
Optimal Resource Usage in Multi-Cloud Computing Environment

Cloud computing has emerged as a new paradigm for accessing distributed computing resources such as infrastructure, hardware platform, and software applications on-demand over the internet as services. This paper presents an optimal resource management framework for multi-cloud computing environment. The authors model the behavior and performance of applications to integrate different service-providers for end-to-end-requirements. Each service model caters to specific type of requirements and there are already number of players with own customized products/services offered. Intercloud Federation and Service delegation models are part of Multi-Cloud environment where the broader target is to achieve infinite pool of resources. They propose an analytical queueing network model to improve the efficiency of the system. Numerical results indicate that the proposed provisioning technique detects changes in arrival pattern, resource demands that occur over time and allocates multiple virtualized IT resources accordingly to achieve application Quality of Service targets.
Edit Propagation on Bidirectional Texture Functions

We propose an efficient method for editing bidirectional texture functions (BTFs) based on edit propagation scheme. In our approach, users specify sparse edits on a certain slice of BTF. An edit propagation scheme is then applied to propagate edits to the whole BTF data. The consistency of the BTF data is maintained by propagating similar edits to points with similar underlying geometry/reflectance. For this purpose, we propose to use view independent features including normals and reflectance features reconstructed from each view to guide the propagation process. We also propose an adaptive sampling scheme for speeding up the propagation process. Since our method needn't any accurate geometry and reflectance information, it allows users to edit complex BTFs with interactive feedback.
Course of patients with juvenile spondyloarthritis during 4 years of observation, juvenile part of GESPIC

Objective To describe the course and the 4-year outcome of juvenile spondyloarthritis (jSpA). Methods Patients with a diagnosis of jSpA and an age at onset ≤16 years were included in the German Spondyloarthritis Inception cohort (GESPIC) and followed up prospectively for 4 years. Results 118 patients (73% men, 66% HLA-B27 positive, mean age 13.5 years, mean symptom duration 2.2 years) were enrolled in 2 study centres: 52% of patients with jSpA were captured by the enthesitis-related arthritis subgroup of the International League of Associations for Rheumatology classification criteria. At inclusion, the majority of patients had active peripheral arthritis (75.4%), followed by inflammatory back pain (IBP) (19.5%) and enthesitis (16.1%). There was a significant improvement in clinical manifestations and in patient-reported outcomes over time. During the 4-year follow-up, 85% of the patients had at least 1 period of remission on drug ≥6 months, and 46% of the patients achieved remission ≥12 months without medication, of whom 68% kept this status and 32% worsened. At the end of 4 years of observation, 23% of the patients were in remission without medication, but 57% still suffered from active disease. Patients with peripheral arthritis had a likelihood of 29% for having peripheral arthritis after 4 years, whereas the likelihood of IBP persistence was 53% for those with IBP at enrolment. Conclusions Although 1 quarter of patients with jSpA achieved remission off medication after 4 years, the likelihood of having recurrent or persistent disease into adulthood is substantial, particularly for jSpA with IBP. Trial registration number NCT 01277419.
Contrasted Reactivity to Oxygen Tensions in Frankia sp. Strain CcI3 throughout Nitrogen Fixation and Assimilation

Reconciling the irreconcilable is a primary struggle in aerobic nitrogen-fixing bacteria. Although nitrogenase is oxygen and reactive oxygen species-labile, oxygen tension is required to sustain respiration. In the nitrogen-fixing Frankia, various strategies have been developed through evolution to control the respiration and nitrogen-fixation balance. Here, we assessed the effect of different oxygen tensions on Frankia sp. strain CcI3 growth, vesicle production, and gene expression under different oxygen tensions. Both biomass and vesicle production were correlated with elevated oxygen levels under both nitrogen-replete and nitrogen-deficient conditions. The mRNA levels for the nitrogenase structural genes (nifHDK) were high under hypoxic and hyperoxic conditions compared to oxic conditions. The mRNA level for the hopanoid biosynthesis genes (sqhC and hpnC) was also elevated under hyperoxic conditions suggesting an increase in the vesicle envelope. Under nitrogen-deficient conditions, the hup2 mRNA levels increased with hyperoxic environment, while hup1 mRNA levels remained relatively constant. Taken together, these results indicate that Frankia protects nitrogenase by the use of multiple mechanisms including the vesicle-hopanoid barrier and increased respiratory protection.
Nonlinear historical superprocess approximations for population models with past dependence

We are interested in the evolving genealogy of a birth and death process with trait structure and ecological interactions. Traits are hereditarily transmitted from a parent to its offspring unless a mutation occurs. The dynamics may depend on the trait of the ancestors and on its past and allows interactions between individuals through their lineages. We define an interacting historical particle process describing the genealogies of the living individuals; it takes values in the space of point measures on an infinite dimensional cadlag path space. This individual-based process can be approximated by a nonlinear historical superprocess, under the assumptions of large populations, small individuals and allometric demographies. Because of the interactions, the branching property fails and we use martingale problems and fine couplings between our population and independent branching particles. Our convergence theorem is illustrated by two examples of current interest in biology. The first one relates the biodiversity history of a population and its phylogeny, while the second treats a spatial model where individuals compete through their past trajectories.
/ Mobile Robot Localisation Using Ultrasonic Sensor . Signatures and Fuzzy ARTMAP Clusterlnq

Mobile robot positioning is usually based on odometry, in conjunction to a periodic recalibration method, in order to minimise the accumulated estimation errors. This work is a preliminary study of the use of ultrasonic sensor 'signatures' as an independent source of spatial information that can be used to correct the odometry estimation, in combination with fuzzy ARTMAP-type clustering. A car-like mobile robot equipped with an ultrasonic sensor ring tries to localise itself, utilising a fuzzy ARTMAP neural network, which identifies different 'signatures' or patterns ofultrasonic sensor readings and partitions the environment into small areas, according to the perceived patterns. The present study extends our previous work on local and global mobile robot navigation.
Comparison of The Workflow Management Systems Bizagi, ProcessMaker, and Joget

: This paper presents comparison study among three of the most famous Business Process Management Systems, Bizagi, ProcessMaker, and Joget. Bizagi is close source, while ProcessMaker and Joget are open source. The comparison framework has been developed based on the most features that needed to be interacted when developing workflow system. Simple business process has been used as case study that describes the online application for master applicants at modern Arab university. Systems have been developed using those tools. After that the comparison was done according to the framework. Finally the results are pointing according the given measurement. According to our framework and selected features the study found that the Bizagi has the best performance and the second is ProcessMaker. However, this by no means is a complete comparison. In business process modelling Bizagi outperforms the other tools. However in form aspects ProcessMaker and Joget outperform Bizagi.
A detection method of FAQ matching inquiry e-mails by automatic generation of characteristic word groups on past inquiry e-mails

This paper discusses how to detect the inquiry e-mails corresponding to pre-defined FAQs(Frequently Asked Questions). Web-based interaction such as orders and registration form on a web page is usually provided with its FAQ page for helping a user, however, most users submit their inquiry e-mails without checking such pages. Help desk operators must spend lots of time on replying to process lots of e-mails even if some contents match to FAQs, we propose the automatic detection method of such e-mails based on SVM (Support Vector Machine) and specific Jaccard coefficient with positive and negative instances. Experimental results show that the proposed method can improve the recall rate to 50% and the precision rate to 91%.
A New Rapid Algorithm for Detecting Human Head

According to the features of human head which is taken by camera shooting from the top down, this paper puts forward a new and rapid algorithm for detecting human head. First, the image is binarized by threshold, then searches diameter of circular-like head area in binary image. If the diameter is in conformity with the feature of human head, then identifies the possible head further in other directions. This algorithm avoids complex concepts and mathematical formulas. Its time-space complexity is much lower than other common methods used in detecting circular-like targets. This paper compares this algorithm with Hough Transform (HT) which is typical in detecting circular-like targets. It is several tens of times faster than HT, and the memory this algorithm needs is several tens of times less than HT. At the end of this paper, practice proves its good effect.
Introduction effects of the Australian plain packaging policy on adult smokers: a cross-sectional study

Objective To determine whether smokers smoking from packs required under Australia's plain packaging law had different smoking beliefs and quitting thoughts, compared with those still smoking from branded packs. Design Cross-sectional survey during the roll-out phase of the law, analysed by timing of survey. Setting Australian state of Victoria, November 2012. Participants 536 cigarette smokers with a usual brand, of whom 72.3% were smoking from a plain pack and 27.7% were smoking from a branded pack. Primary outcome measures Perceived quality and satisfaction of cigarettes compared with 1 year ago, frequency of thoughts of smoking harm, perceived exaggeration of harms, frequency of thoughts of quitting, quitting priority in life, intention to quit, approval of large graphic health warnings and plain packaging. Results Compared with branded pack smokers, those smoking from plain packs perceived their cigarettes to be lower in quality (adjusted OR (AdjOR)=1.66, p=0.045), tended to perceive their cigarettes as less satisfying than a year ago (AdjOR=1.70, p=0.052), were more likely to have thought about quitting at least once a day in the past week (AdjOR=1.81, p=0.013) and to rate quitting as a higher priority in their lives (F=13.11, df=1, p<0.001). Plain pack smokers were more likely to support the policy than branded pack smokers (AdjOR=1.51, p=0.049). Branded and plain pack smokers did not differ on measures of less immediate smoking intentions, frequency of thoughts about harms or perceived exaggeration of harms. Appeal outcomes, but not other outcomes, were sensitive to the extent of roll-out, with responses from branded pack smokers approaching those of plain pack smokers, once 80% of survey respondents were smoking from plain packs 1–2 weeks before the December implementation date. Conclusions The early indication is that plain packaging is associated with lower smoking appeal, more support for the policy and more urgency to quit among adult smokers.
DISCOVERING MORPHOLOGICAL SIMILARITY IN TRADITIONAL FORMS OF MUSIC

In this report, the problem of the analysis of traditional music of the island of Crete is analyzed. Research results from musicology are outlined and confronted with the state of the art in music information retrieval. It is clarified that no systematic computational approach for this analysis exists, whereas it could form a useful tool for research in musicology. An analysis method as applied by musicologists is described. After showing the infeasibility of the computational realization of this method, a simplified statistical approach is proposed. Some preliminary results confirm the validity of this concept. The musicological characteristics of the music style under examination is emphasized throughout the text, because to the author’s best knowledge, these findings have been brought together for the first time in English language.
Eugenia uniflora L. Essential Oil as a Potential Anti-Leishmania Agent: Effects on Leishmania amazonensis and Possible Mechanisms of Action

Eugenia uniflora L. is a member of the Myrtaceae family and is commonly known as Brazilian cherry tree. In this study, we evaluated the chemical composition of Eugenia uniflora L. essential oil (EuEO) by using gas chromatography-mass spectrometry (GC-MS) and assessed its anti-Leishmania activity. We also explored the potential mechanisms of action and cytotoxicity of EuEO. Thirty-two compounds were identified, which constituted 92.65% of the total oil composition. The most abundant components were sesquiterpenes (91.92%), with curzerene (47.3%), γ-elemene (14.25%), and trans-β-elemenone (10.4%) being the major constituents. The bioactivity shown by EuEO against promastigotes (IC50, 3.04 μg·mL−1) and amastigotes (IC50, 1.92 μg·mL−1) suggested significant anti-Leishmania activity. In the cytotoxicity determination, EuEO was 20 times more toxic to amastigotes than to macrophages. Hemolytic activity was 63.22% at the highest concentration tested (400 μg·mL−1); however, there appeared to be no toxicity at 50 μg·mL−1. While the data show that EuEO activity is not mediated by nitric oxide production, they do suggest that macrophage activation may be involved in EuEO anti-Leishmania activity, as evidenced by increases in both the phagocytic capacity and the lysosomal activity. More studies are needed to determine in vivo activity as well as additional mechanisms of the anti-Leishmania activity.
Modified K-NN Model for Stochastic Streamflow Simulation

This paper presents a lag-1 modified K-nearest neighbor K-NN approach for stochastic streamflow simulation. The simula- tion at any time t given the value at the time t1 involves two steps: 1 obtaining the conditional mean from a local polynomial fitted to the historical values of time t and t1, and 2 then resampling i.e., bootstrapping a residual at one of the historical observations and adding it to the conditional mean. The residuals are resampled using a probability metric that gives more weight to the nearest neighbor and less to the farthest. The "residual resampling" step is the modification to the traditional K-NN time-series bootstrap approach, which enables the generation of values not seen in the historical record. This model is applied to monthly streamflow at the Lees Ferry stream gauge on the Colorado River and is compared to both a parametric periodic autoregressive and a nonparametric index sequential method for streamflow generation, each widely used in practice. The modified K-NN approach is found to exhibit better performance in terms of capturing the features present in the data. The need to identify alternatives that will improve upon the ISM motivated the research presented in this paper. The ISM is a "nonparametric" method in that it makes no assumption of the functional form of the underlying model; instead, the method is data-driven. Keeping with the "nonparametric" spirit of ISM, we developed the proposed modified K-nearest neighbor K-NN method. The proposed approach retains all the aspects of the traditional K-NN time series bootstrap technique developed by Lall and Sharma 1996, but the "modification" enables simu- lating values not seen in the historical record. We evaluate the performance of our proposed approach by applying it to the monthly streamflow data from U.S. Geological Survey USGS stream gauge 09380000 located on the Colorado River at Lees Ferry, Arizona. We also compare the modified K-NN method with the ISM and a first-order periodic autoregressive model PAR1, each widely used in practice. The paper is organized as follows: a brief background on stochastic streamflow modeling including a description of the ISM and the PAR models is first presented, for the benefit of readers. Our proposed approach is then presented. A description of the results and summary conclude the presentation.
PAPR Reduction as an Enhancement in OFDM

This paper is engrossed on the critical issue of high PAPR in the most promising high speed communication system using Orthogonal Frequency Division Multiplexing (OFDM). However, OFDM, as an attractive modulation scheme, has shown noteworthy attention across multipath fading channels. It transmits the large amount of data over radio waves but, the summation of data in time domain OFDM signal results in high PAPR which is the major downside of OFDM system. This high PAPR engenders the requirement of PA (Power Amplifier) to be linear in its wide dynamic range and PA’s efficiency is a dependent factor of its linear dynamic range which decreases as the range increases.Numerous techniques have been suggested to reduce the PAPR in OFDM. But to reduce high PAPR, there is a hidden cost that has to be paid in terms of payload data rate reduction. This paper sheds light on few reduction techniques (Clipping and Filtering, Selective Mapping) of PAPR, and their comparative study. Keywords—Orthogonal Frequency Division Multiplexing (OFDM), Peak to Average Power Ratio (PAPR), Clipping and Filtering, Selective Mapping
College Men’s Experiences of Gender Prejudice

Despite evidence suggesting that men’s experiences of gender discrimination are increasing, there has been little research exploring the topic. This article examines college men’s (N = 145) experiences of gender prejudice and how they respond to the events. Participants most often reported experiencing a hostile or negative comment about men, and the instigators were female and friends or partners of the victim. Most participants reported that they respond by confrontation (70, 48%), followed by a non-behavioral psychological response (34, 23%), non-confrontational response (25, 17%), and not doing anything (16, 11%). Distress level significantly predicted the use of confrontational responses. Clinical and research implications are discussed.
Beyond one-size-fits-all: how interactive tabletops support collaborative learning

Previous research has demonstrated the capacity of interactive table-tops to support co-located collaborative learning; however, these analyses have been at a coarse scale---focusing on general trends across conditions. In this paper, we offer a complimentary perspective by focusing on specific group dynamics. We detail three cases of dyads using the DigiTile application to work on fraction challenges. While all pairs perform well, their group dynamics are distinctive; as a consequence, the benefits of working together and the benefits of using an interactive tabletop are different for each pair. Thus, we demonstrate that one size does not fit all when characterizing how interactive tabletops support collaborative learning.
Advance in Multiply Sectioned Bayesian Networks: Sensor Network Practitioners' Perspective

Multiply sectioned Bayesian networks provide a probabilistic framework for reasoning about uncertain domains in cooperative multiagent systems. Several advances have been made in recent years on modeling, compilation and inference under the framework. This paper links these advances together through a case study and presents them from the perspective of practitioners in intelligent sensor networks. We demonstrate how the framework can be applied to multisensor fusion and how intelligent sensor agents developed by independent vendors can be integrated into a coherent sensor fusion system.
Words in melody: an H215O PET study of brain activation during singing and speaking

We used H215O PET to characterize the interaction of words and melody by comparing brain activity measured while subjects spoke or sang the words to a familiar song. Relative increases in activity during speaking vs singing were observed in the left hemisphere, in classical perisylvian language areas including the posterior superior temporal gyrus, supramarginal gyrus, and frontal operculum, as well as in Rolandic cortices and putamen. Relative increases in activity during singing were observed in the right hemisphere: these were maximal in the right anterior superior temporal gyrus and contiguous portions of the insula; relative increases associated with singing were also detected in the right anterior middle temporal gyrus and superior temporal sulcus, medial and dorsolateral prefrontal cortices, mesial temporal cortices and cerebellum, as well as in Rolandic cortices and nucleus accumbens. These results indicate that the production of words in song is associated with activation of regions within right hemisphere areas that are not mirror-image homologues of left hemisphere perisylvian language areas, and suggest that multiple neural networks may be involved in different aspects of singing. Right hemisphere mechanisms may support the fluency-evoking effects of singing in neurological disorders such as stuttering or aphasia.