Miracle-dz/UniFAR-FTUs huggingface dataset:
Genome-Wide Analysis of mRNA Splicing vaRiants in Higher Plants

Alternative splicing (AS) produces multiple mRNA splicing variants from a single precursor transcript. Recent genome sequencing analyses and increasing experimental evidence in flowering plants have revealed that AS is far more prevalent than previously thought and plays crucial roles in the diversification of gene regulation. Despite numerous studies, the extent and complexity of mRNA variants in plants remain poorly characterized from a global perspective. In present study, 589,034 mRNA variants from 442,541 annotated genes of 12 plant species were investigated. All AS genes were classified into four groups on the basis of the numbers of mRNA variants, namely, 2V (two variants), 3V (three variants), 4V (four variants), and 5V+ (five or more variants). Interestingly, our analysis indicated that more than 50% AS genes generated only two variants in higher plants. A global analysis of gene structure revealed that AS genes contained more but shorter exons and introns as the number of mRNA variants increased. The results also suggested that AS elicited different effects on the improvement of transcriptome and proteome diversity. Taken together, cross-species analysis provided the most comprehensive set of annotated splicing variants in higher plants thus far and extended the current view about mRNA variants.
Restrictive vs . liberal transfusion for cancer patients : a meta-analysis of randomized controlled trials

Objective: We attempted to find a more suitable blood transfusion strategy for cancer patients by comparing restrictive transfusion with liberal transfusion treatment results. Methods: In order to find all randomized controlled trials (RCT) which are relevant to comparison on restrictive transfusion with liberal transfusion treatment results, we have searched PubMed, EMBASE and Cochrane library database. Results: Five papers were finally included in our meta-analysis. Restrictive transfusion significantly decreased blood utilization (standard mean difference=-0.33, 95% CI=-0.5-0.17, P<0.0001). The incidence of 60-day mortality was significantly lower in cancer patients receiving liberal transfusion than those receiving restrictive transfusion (OR=1.58, 95% CI=1.08-2.33, P=0.02). There was no significant difference in length of hospitalization, ICU length of stay, bleeding events, ICU readmission and response after chemotherapy (response rate) between the two groups. Conclusion: According to our current study, liberal transfusion strategy was recommended for cancer patients. In the future, well-designed and larger sample sizes of RCTs are still needed.
Aalborg Universitet Compact Quad-Mode Planar Phased Array with Wideband for 5 G Mobile Terminals

In this paper a quad-mode endfire planar phased antenna array with wide scan angle and 1.2 mm clearance is proposed for 5G mobile terminals. The proposed antenna can obtain over 8 GHz of impedance bandwidth. Here is suggested to efficiently combine a multi-mode array element with different radiation patterns for each mode into a phased antenna array. In the array, similar and wide embedded radiation patterns are obtained for the all four modes. Furthermore, a coaxial to differential stripline transition is designed in this work. The differential feeding structure is very compact and utilizes only MMPX connector and vias. The total scan pattern and coverage efficiency of the measured and simulated phased array antenna are calculated in the range from 25 to 33 GHz, and a good agreement between measured and simulated results is observed. The mean coverage efficiency along the frequency range is very similar, but minor difference in variance of coverage efficiency is observed in the measurements. The coverage efficiency of around 50 % for the threshold gain of 5 dBi is achieved in the chosen frequency range.
THREE REUSE EXAMPLES OF A GENERIC DEFORMATION MODEL IN MAP GENERALISATION

Many geographical data generalisation models have contributed to improve the automation of this complex simplification process. This paper focuses on the agent-based generalisation model GAEL, which provides a generic way to compute continuous object deformations. The principle of this deformation model is to make objects deformable by decomposing them into small constrained objects (segments, triangles, etc.). An object deformation is computed by balancing these constraints. Depending on the constraints choice, the object can be deformed in many different ways. The purpose of this paper is to illustrate how this model can be relatively easily reused for three new applications: building squaring, contour lines displacement, and buildings displacement. We then discuss the notions of genericity and easiness of reuse of generalisation models, and finally propose some methodical points helping to improve these important characteristics of generalisation models.
On ultra-high energy cosmic-ray arrival directions 1 after ten years of operation of the Pierre Auger

The Pierre Auger Observatory has gathered, in ten years of operation, an unprecedented number of extremely energetic cosmic-ray events. We present the latest results of searches for small to intermediate-scale anisotropies in the distribution of arrival directions of such events. We update the test based on the Véron-Cetty and Véron catalog, previously performed by the Pierre Auger Observatory on early data, and conclude that it does not yield a significant indication of anisotropy with the present data set. We then study the correlation of arrival directions with the position of nearby galaxies in the 2MRS catalog, of active galactic nuclei (AGNs) detected by Swift-BAT, of a sample of radio galaxies with jets and of the Centaurus A galaxy. None of the searches shows a statistically significant evidence of anisotropy. The two largest departures from isotropy found have a post-trial probability ∼ 1%. The first one is for cosmic rays with energy above 58 EeV that arrive within 18◦ of Swift-BAT AGNs closer than 130 Mpc and brighter than 1044 erg/s. The other one is for cosmic rays above the same energy threshold that arrive within 15◦ of the direction of Centaurus A.
Scalable Lookup Algorithms for IPv 6

IPv4 addresses have been exhausted, and the Internet is moving to IPv6. The large number of IP lookup algorithms has been proposed in the past. In this paper we analyze their scalability, and applicability to IPv6. In particular, we calculate the memory requirements of diverse lookup algorithms, and compare them for different lookup table sizes, assuming the high lookup throughput of one lookup per memory access. BPFL (Balanced Parallelized Frugal Lookup) algorithm requires the smallest external and internal memories for the examined IPv6 lookup tables. In BPFL, the lookup table is defined using the range selector, balanced trees, and bitmaps. Lookup algorithms based on hashing and TCAMs also use memory frugally.
DATA HIDING IN IMAGE USING LSB WITH DES CRYPTOGRAPHY

To increase the security of messages sent over the internet steganography is used. This paper discussed a technique used on the LSB (least significant bit) and a new encryption algorithm. By matching data to an image, there is less chance of an attacker being able to use steg analysis to recover data. Before hiding the data in an image the application first encrypts it.
Sequential Bounding Methods for Stochastic Programming Models of Production Planning.

GOSE, ALEXANDER H. Sequential Bounding Methods for Stochastic Programming Models of Production Planning. (Under the direction of Brian Denton.) This dissertation explores the use of stochastic programming for a variety of production planning problems. We develop methods for approximately solving these by generating representative sets of outcomes. We extend the approach first suggested by Birge (1985a), which we refer to as sequential bounding, where scenarios are generated in an iterative fashion based on a deterministic measure of the error in the approximation. This approach is extended to general two-stage and multi-stage stochastic programs, and methods are developed to improve convergence through a sequence of iterations. First, we present new sequential bounding approaches for two-stage stochastic programs and apply these approaches to a single-period production planning problem with downward product substitutions. Next, we present a multi-stage sequential bounding approach, and compare this with several other scenario generation approaches for a production planning problem with uncertain demand and constant work in process inventory. Finally, we develop a multi-stage stochastic program to model the evolution of demand forecasting for production planning with load dependent lead times. We compare a sequential bounding approach to solving this model with other models and solution methodologies. © Copyright 2013 by Alexander H. Gose
Random neural Q-learning for obstacle avoidance of a mobile robot in unknown environments

The article presents a random neural Q-learning strategy for the obstacle avoidance problem of an autonomous mobile robot in unknown environments. In the proposed strategy, two independent modules, namely, avoidance without considering the target and goal-seeking without considering obstacles, are first trained using the proposed random neural Q-learning algorithm to obtain their best control policies. Then, the two trained modules are combined based on a switching function to realize the obstacle avoidance in unknown environments. For the proposed random neural Q-learning algorithm, a single-hidden layer feedforward network is used to approximate the Q-function to estimate the Q-value. The parameters of the single-hidden layer feedforward network are modified using the recently proposed neural algorithm named the online sequential version of extreme learning machine, where the parameters of the hidden nodes are assigned randomly and the sample data can come one by one. However, different from the original online sequential version of extreme learning machine algorithm, the initial output weights are estimated subjected to quadratic inequality constraint to improve the convergence speed. Finally, the simulation results demonstrate that the proposed random neural Q-learning strategy can successfully solve the obstacle avoidance problem. Also, the higher learning efficiency and better generalization ability are achieved by the proposed random neural Q-learning algorithm compared with the Q-learning based on the back-propagation method.
Determinants of Suppliers ’ Participation in B 2 G e-Auction Markets : Preliminary Evidence from Thai Context กฤษฎา ดลปัญญา *

In this paper, we propose a framework to explain suppliers’ intention to participate, and the level of participation, in B2G electronic auction (e-auction) markets. This will be tested in the Thai e-auction markets. Evidences support that low supplier participation has been a major problem in this market, perhaps resulting in a non-competitive eauction environment. However, research to understand the behaviour of supplier participation in B2G e-auction markets is lacking, particularly in developing countries. The conceptual framework draws from the Motivation-Ability Framework, Transaction Cost Theory, Institutional Theory, and Resource-Based Theory. It proposes that four key constructs – efficiency motive, legitimacy motive, environmental uncertainty, and organisational capabilities – influence suppliers’ intention to participate, as well as their participation level. Preliminary evidence from the field provides initial support for the proposed framework. คําสําคัญ : ผู้ประกอบการสู่ภาครัฐ, ตลาดการประมูลงานอิเล็กทรอนิกส์, การเข้าร่วมงานประมูลของผู้ประกอบการ
Number : WUCSE-2006-6 2006-0101 A Unified Architecture for Flexible Radio Power Management in Wireless Sensor Networks

A challenge for many wireless sensor networks is to remain operational for long periods of time on a very limited power supply. While many power management protocols have been proposed, a solution does not yet exist that allows them to be seamlessly integrated into the existing systems. In this paper we study the architectural support required to resolve this issue. We propose a framework that separates sleep scheduling from the basic MAC layer functionality and provide a set of unified interfaces between them. This framework enables different sleep scheduling policies to be easily implemented on top of multiple MAC layers. Such a flexibility allows applications to choose the best sleep scheduling policy based on their own particular needs. We demonstrate the practicality of our approach by implementing this framework on top of both the mica2 and telosb radio stacks in TinyOS 2.0. Our micro-benchmark results show that at the cost of a slight increase in code size, our framework significantly eases the development of new radio power management protocols across multiple WSN platforms. Type of Report: Other Department of Computer Science & Engineering Washington University in St. Louis Campus Box 1045 St. Louis, MO 63130 ph: (314) 935-6160 A Unified Architecture for Flexible Radio Power Management i n Wireless Sensor Networks Kevin Klues, Guoliang Xing, Chenyang Lu Department of Computer Science and Engineering Washington University in St. Louis {klueska, xing, lu}@cs.wustl. edu
Numerical methods for a singular boundary value problem with application to a heat conduction model in the human head

A class of singular boundary value problems modeling the heat conduction in the human head is studied. Suitable singular Cauchy problems are considered in order to determine one parameter families of solutions in the neighborhood of the singularities. These families are then used to construct stable shooting algorithms to the solution of the considered problems. A finite difference method is also introduced and, taking into account the behavior of the solution in the neighborhood of the singular points, a variable substitution is proposed to improve its convergence order. Numerical results are presented and discussed.
High-Order Moving Overlapping Grid Methodology in a Spectral Element Method

A moving overlapping mesh methodology that achieves spectral accuracy in space and up to second-order accuracy in time is developed for solution of unsteady incompressible flow equations in three-dimensional domains. The targeted applications are in aerospace and mechanical engineering domains and involve problems in turbomachinery, rotary aircrafts, wind turbines and others. The methodology is built within the dual-session communication framework initially developed for stationary overlapping meshes. The methodology employs semi-implicit spectral element discretization of equations in each subdomain and explicit treatment of subdomain interfaces with spectrally-accurate spatial interpolation and high-order accurate temporal extrapolation, and requires few, if any, iterations, yet maintains the global accuracy and stability of the underlying flow solver. Mesh movement is enabled through the Arbitrary Lagrangian-Eulerian formulation of the governing equations, which allows for prescription of arbitrary velocity values at discrete mesh points. The stationary and moving overlapping mesh methodologies are thoroughly validated using twoand three-dimensional benchmark problems in laminar and turbulent flows. The spatial and temporal global convergence, for both methods, is documented and is in agreement with the nominal order of accuracy of the underlying solver. Stationary overlapping mesh methodology was validated to assess the influence of long integration times and inflow-outflow global boundary conditions on the performance. In a turbulent benchmark of fully-developed turbulent pipe flow, the turbulent statistics are validated against the available data. Moving overlapping mesh simulations are validated on the problems of two-dimensional oscillating cylinder and a threedimensional rotating sphere. The aerodynamic forces acting on these moving rigid bodies are determined, and all results are compared with published data. Scaling
Genetic Structure in the Cactus Wren in Coastal Southern California

The purpose of this addendum is to update results and conclusions reported in Barr et al. 2013 based on the addition of new genetic samples to the original dataset. The additional samples include five samples from Palos Verdes in 2013 that were collected incidental to other projects there, and three samples from a new site, West Coyote Hills, that we were approved for access in 2013. Three other additional samples came from those collected in 2012 but not analyzed in Barr et al. 2013, including one that originally failed to genotype but was amplified with additional attempts and two that were removed from the previous analyses using a very conservative interpretation of sibship results. Original analyses did not include these samples though the probabilities of these sibship relationships were low (<0.95; Hauser et al. 2011), thereby preventing spurious population structure from being detected because of potential biases from closely-related individuals in the dataset. With further analyses and a thorough understanding of overall population structure in Cactus Wrens, these lower probability sibships were determined to have no effect on population structure patterns and were hence returned to the dataset.
Modeling Departure Time Choice Under Stochastic Networks Extended

In transport networks, due to the stochastic supply and fluctuating travel demand, travel times and travel costs experienced by travelers within-day and over days are stochastic (Emam 2005; Tu 2008). The uncertainty and diversity in travelers’ behaviors (for instance driving behavior) lead to variations and unpredictability in travel times as well, thus in travel costs. The influence of travel time variability on travelers’ choice behavior under uncertainty has gained increasing attention. A lot of researches (Van Amelsfort et al. 2008) have been carried out on analyzing the impacts of travel time variability on travelers’ departure time/route choice behavior and on how to model their choice behaviors under uncertainty. Several empirical studies (e.g., (Abdel-Aty et al. 1996), (Kazimi et al. 2000), (Lam 2000), (Ghosh 2001)) suggest that travelers are interested not only in travel time saving but also reduction of travel time variability. Especially in the context of uncertainty, departure time adaptation appears even more significant than route choice adaptation for the sake of attempting to arrive on time at destination with high probability. Thus, the impacts of travel time unreliability on travelers’ choice behavior, especially on departure time choice behavior under uncertainty are eagerly needed to be investigated. In general, there are two approaches developed to model the choice behavior under uncertainty, namely the mean-variance approach (Jackson et al. 1981) and the scheduling approach (Small 1982). This paper will perform analytical investigations on the equivalency of the mean-variance approach and the scheduling approach. A generalized mean-variance scheduling travel cost function is derived and proposed to model travelers’ departure time/route choice behavior under uncertainty. Then a simulation-based approach is developed to model different dynamic user equilibrium with different travel cost functions from different approaches. The parameters in the travel cost functions, especially for the travel time reliability are investigated via the simulation-based approach.
Comparative Evaluation of Two Sealahle QoS Architectures

This paper performs a eomparative evaluation of two QoS arehitectures, RSVP Reservation Aggregation and Sealahle Reservation­ Based QoS, aimed at providing QoS levels similar to the ones provided hy the well-known RSVP /lntServ arehiteeture, hut sealahle enough for use in high traffie eore networks. The eomparative analysis, hased on eaeh model's eharacteristics and on simulation results, shows that our Sealahle Reservation-Based QoS arehiteet ure is ahle to support the same QoS guarantees provided hy RSVP Reservation Aggregation, with significantly inereased resouree utilisation and a small penalty in signaHing proeessing overhead.
Munk and Riley revisited: nutrient diffusion transport and rates of phytoplankton growth

Although phytoplankton nutrient uptake rates are controlled primarily by biological properties of the organism and nutrient concentration, diffusion transport of nutrient to the organism through the medium in which the organism is immersed can influence uptake rates. The original ideas of Munk and Riley on control of nutrient uptake by diffusion transport are re-cast in terms of present knowledge of the interaction of diffusion transport and biological con-trol of uptake rates. The effect of relative motion between the organism and the medium in decreasing diffusion transport limitation of uptake rate is described for spherical organisms. Motion can reduce diffusion transport limitation, but not eliminate it completely. Expressions relating growth rate to uptake rate are utilized to evaluate the influence of diffusion transport limitation on growth rate. Its influence on competition among species and on organism size is also considered. Diffusion transport has Jess influence on growth rate than on uptake rate. It may alter competitive relationships. It may explain, in part, why small size phytoplankton pre-dominate in impoverished regions of the oceans.
A PRACTICAL TOOL FOR SUPPLY CHAIN IMPROVEMENT-EXPERIENCES WITH THE SUPPLY CHAIN MATURITY ASSESSMENT TEST ( SCMAT )

This paper outlines the need for a quick assessment tool for mapping the maturity of a company’s supply chain operations, and presents the Supply Chain Maturity Assessment Test (SCMAT) as a potential answer to this need. Experiences the researchers have gained in the development of SCMAT are summed up as strengths and weaknesses with the test. Guidelines for test and analysis procedure are presented, and a research agenda for further development is proposed.
Tesla is twice as sensitive as 1 . 5 Tesla magnetic resonance imaging in the assessment of diffuse axonal injury in traumatic brain injury patients

Diffuse axonal injury (DAI), associated with deafferentation and functional rearrangement, probably plays a role in the chronic phase of traumatic brain injury (TBI). DAI with a haemorrhagic component can be quantified using magnetic resonance imaging (MRI) thanks to the iron-based susceptibility effect of haemosiderin, which increases with magnetic field strength. The aim of this work was to compare conventional 1.5 Tesla and 3 Tesla MRI in the assessment of DAI in TBI patients. Eighteen TBI patients were submitted, in random order, to a 1.5T and a 3T MRI examination using standard gradient echo sequences. Both scans were always performed on the same day. DAI lesions with a haemorrhagic component were manually segmented and classified by anatomical location. The Wilcoxon and ANOVA tests were used for statistical analysis, significance being set at p<0.05. The results of this study showed that 3T MRI is almost twice as sensitive as 1.5T MRI in assessing DAI in terms of lesion number and volume. Differences between the two scanners were not significant in the posterior cranial fossa. High-field MRI enhances the assessment of DAI and may help to increase understanding of the mechanisms underlying subacute and chronic clinical, cognitive and behavioural changes in TBI patients.