Miracle-dz/UniFAR-FTUs huggingface dataset:
A single antenna interference cancellation algorithm for GSM

In mobile communication networks, system capacity is often limited by cochannel interference. Therefore, receiver algorithms for cancellation of cochannel interference have recently attracted much interest. At the mobile terminal, algorithms can usually rely only on one received signal delivered by a single receive antenna. In this paper, a novel low-complexity single antenna interference cancellation (SAIC) algorithm for real-valued modulation formats referred to as mono interference cancellation (MlC) is introduced which is well suited for practical applications. By using this algorithm in the mobile terminals, capacity of GSM networks can be improved by up to 40-60 %.
Stability analysis of Newtonian polytropes

We analyze the stability of Newtonian polytropic static fluid spheres, described by the Lane-Emden equation. In the general case of arbitrary polytropic indices the Lane-Emden equation is a non-linear second order ordinary differential equation. By introducing a set of new variables, the Lane-Emden equation can be reduced to an autonomous system of two ordinary differential equations, which in turn may be transformed to another regular second order differential equation. We perform the study of stability by using linear stability analysis, the Jacobi stability analysis (Kosambi-Cartan-Chern theory) and the Lyapunov function method. Depending on the values of the polytropic index characterizing the fluid, these different methods yield different qualitative results on the stability of the solutions. On the other hand, these techniques offer a powerful method for constraining the physical properties of the Newtonian stars. ∗ c.boehmer@ucl.ac. uk † harko@hkucc.hku. hk
Epigenetic methylation in PTSD as moderated by trauma exposure in refugees

EPIGENETIC METHYLATION IN PTSD AS MEDIATED BY TRAUMA EXPOSURE IN REFUGEES By ABIR ALDHALIMI May 2015 Advisor: Dr. Elizabeth Hill Major: Psychology (Clinical) Degree: Doctor of Philosophy War-related trauma has adverse effects on refugee mental health and has been implicated in the dysregulation of multiple systems in the body. Trauma can alter genes associated in these systems, contributing to PTSD symptoms via DNA methylation. While there are exceptions, hypermethylation in regulatory regions of genes are associated with poor mental health, e.g., PTSD. The present study examines differential DNA methylation in an HPA axis associated gene in comparisons utilizing three groups: those with high levels of trauma and high PTSD symptom scores (HH) (n=24), those reporting high levels of trauma but low PTSD symptom scores (HL) (n=14), and those with low levels of trauma, but high PTSD symptoms (LH) (n=10); HH group was used as a reference. Self-report questionnaires and blood samples were collected from Iraqi male refugees. Genome-wide analysis revealed more differentially methylated CpG (CpG dinucleotide-specific DNA) sites in the LH vs. HH group comparison, than the HL vs. HH group comparison. Genes associated with HPA-axis function, NR3C1 and FKBP5, showed significant methylation differences in the regulatory region of the genes. There
On the discovery of association rules by means of evolutionary algorithms

Association rule learning is a data mining task that tries to discover interesting relations between variables in large databases. A review of association rule learning is presented that focuses on the use of evolutionary algorithms not only applied to Boolean variables but also to categorical and quantitative ones. The use of fuzzy rules in the evolutionary algorithms for association rule learning is also described. Finally, the main applications of association rule evolutionary learning covered by the specialized bibliography are reviewed. © 2011 John Wiley & Sons, Inc. WIREs Data Mining Knowl Discov 2011 1 397–415 DOI: 10.1002/widm.18
Robotic Specification of the Non-Conceptual Content of Visual Experience

Standard, linguistic means of specifying the content of mental states do so by expressing the content in question. Such means fail when it comes to capturing non-conceptual aspects of visual experience, since no linguistic expression can adequately express such content. One alternative is to use depictions: images that either evoke (reproduce in the recipient) or refer to the content of the experience. Practical considerations concerning the generation and integration of such depictions argue in favour of a synthetic approach: the generation of depictions through the use of an embodied, perceiving and acting agent, either virtual or real. This paper takes the first steps in an investigation as to how one might use a robot to specify the non-conceptual content of the visual experience of an (hypothetical) organism that the robot models.
A Cloud Service Design for Quality Evaluation of Design Patterns

In recent years, the influences of design patterns on software quality have attracted increasing attention in the area of software engineering, as design patterns encapsulate valuable knowledge to resolve design problems, and more importantly to improve the design quality. Our previous research has proposed an effectiveness evaluation method to assess the design pattern's quality. the proposed method performs experiments in open source projects. as the version of open source project grows, the analysis time increases in pace with the increasing source code size. the computation performance cannot be applicable to the actual real time data analysis. in this research, we develop an effectiveness evaluation cloud service based on powerful computing capability to process a large amount of data. We collect design pattern's applications in open source projects, and provide programmers valuable and real-time analysis information to help them inspect the value of deployed design patterns.
A comparison of nested loops parallelization algorithms

In this paper(cid:0) we compare three nested loops parallelization algorithms (cid:1)Allen and Kennedy(cid:2)s algorithm(cid:0) Wolf and Lam(cid:2)s algorithm and Darte and Vivien(cid:2)s algorithm(cid:3) that use di(cid:4)erent representations of distance vectors as input(cid:5) We identify the concepts that make them similar or di(cid:4)erent(cid:5) We study the optimality of each with respect to the dependence analysis it uses(cid:5) We propose well(cid:6)chosen examples that illustrate the power and limitations of the three algorithms(cid:5) This study permits to identify which algorithm is the most suitable for a given representation of dependences(cid:5) Abstract In this paper(cid:0) we compare three nested loops parallelization algorithms(cid:1)Allen and Kennedy(cid:2)s algorithm(cid:0) Wolf and Lam(cid:2)s algorithm and Darte and Vivien(cid:2)s algorithm(cid:3) that use di(cid:4)erent representations of distance vectors as input(cid:5) We identify the concepts that make them similar or di(cid:4)erent(cid:5) We study the optimalityof each with respect to the dependence analysis it uses(cid:5) We propose well(cid:6)chosen examples that illustrate the power and limitations of the three algorithms(cid:5) This study permits to identify which algorithm is the most suitable for a given representation of dependences(cid:5)
Isolation of Nitrospira belonging to Sublineage II from a Wastewater Treatment Plant

Nitrite oxidation is a key step in nitrogen removal in biological wastewater treatment plants. Recently, two phylogenetically different Nitrospira (sublineages I and II) have been recognized as the numerically dominant nitrite-oxidizing bacteria in wastewater treatment plants. However, Nitrospira sublineage II inhabiting activated sludge was not isolated and its detailed properties were unclear. In this study, we developed a new method for the isolation of Nitrospira forming micro-colonies using a cell sorter. We obtained a novel pure strain “Nitrospira japonica” from the activated sludge. Subsequently, phylogenetic and physiological analyses revealed that Nitrospira japonica belongs to sublineage II and grew in medium containing formate. This method has the potential to isolate other uncultured microorganisms forming micro-colonies.
Wearable inflatable robot for supporting postural transitions in infants between sitting and lying

This paper proposes a novel approach for supporting the change in an infant's body posture between lying and sitting by using a wearable and inflatable robotic device. It was revealed by 3D motion analysis that a change in the center of gravity during postural transition correlated with pitch and yaw motions of the lumbar joint. To assist in the dominant joint motions, a novel pneumatic accordion actuator is proposed. Such an actuator can apply force through inflation on body segments to assist with joint torque. Four such actuators were designed and implemented for assisting in lumbar joint motions. Experiments with a dummy baby doll showed that the proposed system is capable of changing the posture of the wearer from supine to long-sitting positions and vice versa. Possible application to support the postural change in children with cerebral palsy is also discussed.
Swarmand pheromone based reinforcement learning methods for the robot(s) path search problem

With the world moving to an automated platform, robots are finding application in almost all domains to reduce the human effort. One such domain is to find a path in an unknown and hostile environment to reach the goal. Due to the complexity of many tasks in this domain itis difficult for the robots (agents) to solve this with pre-programmed agent behaviors. Instead of using pre-programmed agent behaviors agents must discover a solution on their own by using learning. In simple reinforcement learning algorithms, a single agent learns how to achieve a goal through many episodes. But if complexity of learning problem is increased or the number of agents is more, it may lead to take more computation time in order to obtain the optimal policy and sometimes it may be the situation that it may not reach to the goal. For optimization problems, bio inspired multi-agent search methods such as particle swarm optimization, ant colony optimization have been recognized to obtain a global optimal solution for multi-modal functions with wide solution space rapidly. This paper proposes a SARSA based reinforcement learning algorithm using one agent and two agents where the agents are guided by the pheromone levels also called the Phe-SARSA. In this algorithm agents learn through not only their respective experiences but also with the help of pheromone trail left by other agents to search for the shortest path. The algorithms have been simulated in the MATLAB 2013a and the results have been compared with the Q-learning, SARSA, Q-Swarm, SARSA-Swarm and Phe-Q algorithms.
Design of Polar List Decoder using 2-Bit SC Decoding Algorithm

The number of decoding architecture techniques are introduced for wireless communication channel. Such architectural techniques aim to improve the latency, area and complexity of various methods. This paper aims to get solution for FPGA based list decoder architecture, achieving the latency, area and throughput of the system. In this paper, 2bit Successive Cancellation (SC) decoding algorithm is used in polar list decoder architecture. Also, the usage of CRC in list decoder increases the throughput. The architecture is implemented in Xilinx Spartan 3E FPGA device. The result shows that the latency is reduced up to 64% compared to conventional SC decoder. The proposed design achieves area and delay of 88% & 17.3% than conventional SC decoder.
THE ABUNDANCE OF STAR-FORMING GALAXIES IN THE REDSHIFT RANGE 8.5–12: NEW RESULTS FROM THE 2012 HUBBLE ULTRA DEEP FIELD CAMPAIGN

We present the results of the deepest search to date for star-forming galaxies beyond a redshift z ≃ 8.5 utilizing a new sequence of near-infrared Wide-Field Camera 3 (WFC3/IR) images of the Hubble Ultra Deep Field (UDF). This “UDF12” campaign completed in 2012 September doubles the earlier exposures with WFC3/IR in this field and quadruples the exposure in the key F105W filter used to locate such distant galaxies. Combined with additional imaging in the F140W filter, the fidelity of high-redshift candidates is greatly improved. Using spectral energy distribution fitting techniques on objects selected from a deep multi-band near-infrared stack, we find seven promising z > 8.5 candidates. As none of the previously claimed UDF candidates with 8.5 < z < 10 are confirmed by our deeper multi-band imaging, our campaign has transformed the measured abundance of galaxies in this redshift range. Although we recover the candidate UDFj-39546284 (previously proposed at z = 10.3), it is undetected in the newly added F140W image, implying that it lies at z = 11.9 or is an intense emission line galaxy at z ≃ 2.4. Although no physically plausible model can explain the required line intensity given the lack of Lyα or broadband UV signal, without an infrared spectrum we cannot rule out an exotic interloper. Regardless, our robust z ≃ 8.5–10 sample demonstrates a luminosity density that continues the smooth decline observed over 6 < z < 8. Such continuity has important implications for models of cosmic reionization and future searches for z >10 galaxies with James Webb Space Telescope.
After more than a decade of soil moisture deficit, tropical rainforest trees maintain photosynthetic capacity, despite increased leaf respiration

Determining climate change feedbacks from tropical rainforests requires an understanding of how carbon gain through photosynthesis and loss through respiration will be altered. One of the key changes that tropical rainforests may experience under future climate change scenarios is reduced soil moisture availability. In this study we examine if and how both leaf photosynthesis and leaf dark respiration acclimate following more than 12 years of experimental soil moisture deficit, via a through‐fall exclusion experiment (TFE) in an eastern Amazonian rainforest. We find that experimentally drought‐stressed trees and taxa maintain the same maximum leaf photosynthetic capacity as trees in corresponding control forest, independent of their susceptibility to drought‐induced mortality. We hypothesize that photosynthetic capacity is maintained across all treatments and taxa to take advantage of short‐lived periods of high moisture availability, when stomatal conductance (gs) and photosynthesis can increase rapidly, potentially compensating for reduced assimilate supply at other times. Average leaf dark respiration (Rd) was elevated in the TFE‐treated forest trees relative to the control by 28.2 ± 2.8% (mean ± one standard error). This mean Rd value was dominated by a 48.5 ± 3.6% increase in the Rd of drought‐sensitive taxa, and likely reflects the need for additional metabolic support required for stress‐related repair, and hydraulic or osmotic maintenance processes. Following soil moisture deficit that is maintained for several years, our data suggest that changes in respiration drive greater shifts in the canopy carbon balance, than changes in photosynthetic capacity.
A reliable gait phase detection system

A new highly reliable gait phase detection system, which can be used in gait analysis applications and to control the gait cycle of a neuroprosthesis for walking, is described. The system was designed to detect in real-time the following gait phases: stance, heel-off, swing, and heel-strike. The gait phase detection system employed a gyroscope to measure the angular velocity of the foot and three force sensitive resistors to assess the forces exerted by the foot on the shoe sole during walking. A rule-based detection algorithm, which was running on a portable microprocessor board, processed the sensor signals. In the presented experimental study ten able bodied subjects and six subjects with impaired gait tested the device in both indoor and outdoor environments (0-25/spl deg/C). The subjects were asked to walk on flat and irregular surfaces, to step over small obstacles, to walk on inclined surfaces, and to ascend and descend stairs. Despite the significant variation in the individual walking styles the system achieved an overall detection reliability above 99% for both subject groups for the tasks involving walking on flat, irregular, and inclined surfaces. In the case of stair climbing and descending tasks the success rate of the system was above 99% for the able body subjects and above 96% for the subjects with impaired gait. The experiments also showed that the gait phase detection system, unlike other similar devices, was insensitive to perturbations caused by nonwalking activities such as weight shifting between legs during standing, feet sliding, sitting down, and standing up.
Strong lensing analysis of the cluster RCS0224-0002 at z = 0.77

Aims. We present a detailed mass reconstruction of the cluster RCS0224-0002 at z = 0.773 from the strong lensing features observed with HST/WFPC2. Methods. The mass profile is reconstructed using a parametric approach. We introduce a novel method to fit extended multiple images based on the Modified Hausdorff Distance between observed arcs and the arcs reproduced by the model. We perform the detailed error analysis of the model parameter using the MCMC method. Results. Our model reproduces all the observed strong lensing features of the RCS0224-0002 and predicts the redshift of one of the arcs systems to be z ≈ 2.65 (the other system has an spectroscopic redshift of z = 4.87). The reconstructed inner mass profile is well fitted by a non-singular isothermal sphere, rather than with an NFW model. Dark matter substructure, derived from the light distribution of the most luminous cluster members, is crucial for reproducing the complexity of the quadrupole image system, which could not be achieved otherwise. The reconstructed mass distribution closely follows the light, however it is significantly shifted from
A New Highly Sensitive Method to Assess Respiration Rates and Kinetics of Natural Planktonic Communities by Use of the Switchable Trace Oxygen Sensor and Reduced Oxygen Concentrations

Oxygen respiration rates in pelagic environments are often difficult to quantify as the resolutions of our methods for O2 concentration determination are marginal for observing significant decreases during bottle incubations of less than 24 hours. Here we present the assessment of a new highly sensitive method, that combine Switchable Trace Oxygen (STOX) sensors and all-glass bottle incubations, where the O2 concentration was artificially lowered. The detection limit of respiration rate by this method is inversely proportional to the O2 concentration, down to <2 nmol L−1 h−1 for water with an initial O2 concentration of 500 nmol L−1. The method was tested in Danish coastal waters and in oceanic hypoxic waters. It proved to give precise measurements also with low oxygen consumption rates (∼7 nmol L−1 h−1), and to significantly decrease the time required for incubations (≤14 hours) compared to traditional methods. This method provides continuous real time measurements, allowing for a number of diverse possibilities, such as modeling the rate of oxygen decrease to obtain kinetic parameters. Our data revealed apparent half-saturation concentrations (Km values) one order of magnitude lower than previously reported for marine bacteria, varying between 66 and 234 nmol L−1 O2. Km values vary between different microbial planktonic communities, but our data show that it is possible to measure reliable respiration rates at concentrations ∼0.5–1 µmol L−1 O2 that are comparable to the ones measured at full air saturation.
Analyzing the social ties and structure of contributors in Open Source Software community

We conduct a statistical analysis on the social networks of contributors in Open Source Software (OSS) communities using datasets collected from two most fast-growing OSS social interaction sites, Github.com and Ohloh.net. Our goal is to analyze the connectivity structure of the social networks of contributors and to investigate the effect of the different social tie structures on developers' overall productivity to OSS projects. We first analyze the general structure of the social networks, e.g., graph distances and the degree distribution of the social networks. Our analysis confirms that the social networks of OSS communities follow power-law degree distributions and exhibit small-world characteristics. However, the degree mixing pattern shows that high degree nodes tend to connect more with low degree nodes, suggesting collaborations between experts and newbie developers. Second, we study the correlation between graph degrees and the productivity of the contributors in terms of the amount of contribution and commitment to OSS projects. The analysis demonstrates evident influence of the social ties on the developers' overall productivity.
A cognitive multi agent system to model radiologist decision making-Aid breast cancer diagnosis -

Breast cancer continues to be one of the leading causes of mortality among women. Digital mammography is used by radiologist for analysis and interpretation of cancer. Visual reading and interpretation of mammograms is a very demanding and expensive job. Early detection of breast cancer is essential in breast cancer control. Computer Aided Diagnosis (CAD) systems have been developed to complement radiologists in interpreting mammograms. In this paper we present a novel approach to lesion interpretation in digital mammograms. The proposed method is based on cognitive multi agent system to mode the decision making. The use of ontology can be beneficial to bring the communication between various agents and to facilite the making decision process.
Efficient Update Propagations for Semistructured Data in Mobile Environment

Many handheld applications maintain data consistency with data sources through sychronization. In certain applications such as sales force automation, it is highly desirable if updates on the data source can be reflected at the handheld applications immediately. This paper proposes an efficient method to synchronize XML data on multiple mobile devices. Each device retrieves and caches a local copy of data from the database source based on a regular path expression. These local copies may be overlapping or disjoint with each other. An efficient mechanism is proposed to find all the disjoint copies to avoid unnecessary synchronizations. Each update to the data source will then be checked to identify all handheld applications which are affected by the update. Communication costs can be further reduced by eliminating the forwarding of unnecessary operations to groups of mobile clients.
Once Burned, Twice Shy: Naive Learning, Counterfactuals and the Repurchase of Stocks Previously Sol

An easily assembled and disassembled die holder assembly of the wedge locking type is provided which tightly clamps a punch die in its pocket. A die-engaging wedge of the assembly has an angular protrusion bearing on a wall of a corresponding groove in a side of the die to clamp it downwardly in the die pocket upon take-up of a threaded fastener. A locking wedge acted on by the fastener bears on the die wedge, relative angles of the latter and the protrusion causing the protrusion to hold the die rigidly. Backing off the fastener permits a resilient member to free the die from the protrusion of the die-engaging wedge.