Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimal Joint Blind Data and Channel Estimation with Diversity

For a single user scheme with frequency dependant channel, a generalized maximum likelihood sequence estimation (MLSE) algorithm was demonstrated to improve the performance over the single antenna method. It achieved almost perfect combining using blind joint data and channel estimation by means of the combining of metrics from two antenna diversity. The dominant cause of errors was due to presence of two trellises with almost identical metrics and these trellises were related; the trellises were the same sequence delayed by plus or minus one sample period. This was especially prone to happen when the estimated model order was not the true order. Another difficulty with this algorithm was the reduction in the number of choices for trellises entering a state as the trellises tended to converge to the best one; this provided a larger exhaustive search at the beginning of the algorithm than later when fading affected the channel.
Cardinality, Counting, and Equinumerosity

Frege, famously, held that there is a close connection between our concept of cardinal number and the notion of one-one correspondence, a connection enshrined in Hume’s Principle. Husserl, and later Parsons, objected that there is no such close connection, that our most primitive conception of cardinality arises from our grasp of the practice of counting. Some empirical work on children’s development of a concept of number has sometimes been thought to point in the same direction. I argue, however, that Frege was close to right, that our concept of cardinal number is closely connected with a notion like that of one-one correspondence, a more primitive notion we might call just as many.
The natural history of autosomal dominant polycystic kidney disease: 30-year experience from a single centre.

BACKGROUND AND AIM Autosomal dominant polycystic kidney disease (ADPKD) is the most common inherited kidney disease. The major objective of this study was to analyse the natural history of disease progression in all patients with ADPKD seen at the Sheffield Kidney Institute between 1978 and 2012. METHODS A retrospective analysis was performed based on recorded renal function up to 30 years prior to analysis. The rate of estimated glomerular filtration rate (eGFR) decline (ΔeGFR) was determined by linear regression, based on a minimum of 5 years of renal function prior to the study or renal replacement therapy. Patients who had reached end-stage renal disease (ESRD) (n = 113) were compared with those under follow-up in a dedicated polycystic kidney disease (PKD) clinic (n = 88). RESULTS The two groups were comparable in age and gender though the mean follow-up duration was longer in the PKD clinic group. Overall, ΔeGFR was significantly higher in the ESRD group compared with the PKD clinic group (4.19 ± 1.66 vs. 1.71 ± 1.36 ml/min/1.73 m(2)/year). Retrospective analysis for each 5-year period prior to ESRD or analysis showed a significant difference in ΔeGFR between both groups 10 years before with an increasing trend in ΔeGFR 20 years before especially in the ESRD group. In the PKD clinic group, the age of diagnosis and mean kidney length were also predictors of ΔeGFR. CONCLUSION This is one of the longest natural history studies in ADPKD. The difference in ΔeGFR can be predicted at least 10 years prior to the onset of ESRD and thus will enable higher risk patients to be identified early for treatment.
Are Guidelines Guiding us on How to Utilize Laboratory Tests?

Increasing patient risks and costs associated with the delivery of health care services have been related to inappropriate and uncontrolled use of biomarkers which make evidence-based guideline recommendations for best practice increasingly important. The translation of basic scientific discoveries into clinically meaningful studies and then to evidence-based clinical practice guidelines (CPGs) or health policy is, however, not straightforward. CPGs are potentially the most influential publications as they aim to guide clinical decisions and impact patient outcomes; hence, current approaches to their development often fail scientific publication standards. Critical appraisal of CPGs has revealed that many do not involve laboratory professionals in formulating recommendations on the use of tests; the composition of the panel could influence the scope of guidelines and over-represent certain stakeholders’ views; numerous CPGs do not have rigorous evidence-based methodology and miss essential information important for the correct interpretation and application of laboratory results.
Negotiation protocols and dialogue games

Multi-agent activities often require negotiation. We propose a way to construct exible negotiation protocols, based on dialogue games, originally developed for the description of human dialogue [1]. The rules of a dialogue game function as a recipe for joint action. A particular type of a dialogue game, an initiative-response pair, de nes minimal well-formed interactions [6]. From such basic exchanges larger dialogues can be constructed coherently. The notion of `uptake' [2] is crucial in this respect. By making an initiative, an agent invites other participants to respond in a particular way. An initiative is often ambiguous. There are di erent ways the responder can take up the challenge. Thus the interaction is jointly determined by the participants.
Adjustment of Lane - Kalinske Suspended Sediment Equation

3 Abstract: There are so many sediment formulas, which most of them were made for special rivers. This paper calibrates a suspended sediment equation, lane-Kalinske in Armand, Soolegan and Bazoft Rivers, which have 30 years field data. The analysis is directed toward the question of how systematically to change the values of the coefficients and form of the formula by comparing equation results to field data. Calibrating this formula, the ratio of C/O increased to an acceptable amount in comparison with the former one, Soolegan (0.75), Bazoft (0.75), Armand (0.88). This formula before calibrating had a good performance in Armand River in comparison with two other rivers. After calibration this condition was the same and repeated. So it can be told that if a formula obtain the suspended sediment very accurately but it cannot be a reason that calibration of it, is not necessary.
Object-oriented techniques in hardware design

We focus on using object-oriented techniques to improve the hardware design process. The advantages of these techniques for hardware design include: improved modifiability and maintainability of models; easy component instantiation with different parameters; quick composition of new components; the ability to identify and reuse common components; the ability to tailor general-purpose components to more specialized components; support of dynamic object creation and destruction; and the possibility of employing existing software synthesis and verification techniques. We illustrate the application of object-oriented techniques using a load-store, reduced instruction-set processor that contains a local memory. The instruction set consists of 22 instructions, which require one or two 16-bit words. Arithmetic is performed in two's complement. We use C++ to demonstrate the usefulness of object-oriented techniques, not to provide arguments for or against its use in hardware modeling and design. <<ETX>>
Linguistic Support For Developing Groupware Systems

A high speed address calculation circuit for a pipeline-control-system data-processing apparatus includes an instruction register, a register file, an address register, a first data selector, an increment register, a second data selector, a decoder, an adder and a third data selector. The instruction register stores instructions from a memory, and the register file is addressed by the register designation data of the instructions stored in the instruction register. The address register stores an operand address, and the increment register stores increment data calculated in an arithmetic unit. The first data selector selects either the address from the address register or the data from the register file, and the second data selector selects either the data from the increment register or the destination field data included in each instruction. The decoder generates a signal to specify the data to be selected by the first and second data selectors. The adder receives data from the first and second selectors and provides an operand address. The third data selector receives the operand address from the adder and the address generated by the arithmetic unit, selects one of these addresses, and transfers the selected address to the address register.
HADES: a middleware support for distributed safety-critical real-time applications

Most distributed safety critical real time systems designed in the past have been specialized to meet the particular requirements of the application domain to which they were targeted. This approach led to specific, inflexible, dedicated and non reusable solutions, often based on specialized hardware. The paper presents an overview of HADES, which provides a set of flexible tools built on top of off the shelf hardware, and designed to help in the construction of a panel of distributed safety critical real time applications. In order for HADES to support the execution of the widest range of applications, we have followed a rigorous methodology based on: (i) the separation of services dedicated to a specific application domain (scheduling policy) from services providing a range of robustness properties common to a large spectrum of application domains (e.g. task dispatching, fault detection, clock synchronization, monitoring); (ii) the provision of a precise cost information induced by all these services in order to increase the accuracy of the application feasibility test.
X-ray properties of a sample of polar-scattered Seyfert galaxies

We present the results on an XMM-Newton systematic analysis of a sample of nine Seyfert 1 galaxies. When observed in polarised light, the spectra of the selected sources are similar to those of Seyfert 2 galaxies. This peculiarity strongly suggests that these AGN are viewed with an inclination comparable with the torus opening angle. Our results are consistent with this scenario and, taking advantage of this favourable geometrical condition, we were able to investigate in detail the physical properties and the distribution of the circumnuclear gas in these sources.
E-commerce oriented integrated cooperative platform ECIC

The technology of computer supported cooperative work (CSCW) has been employed widely in enterprise informution system. Groupware systems such as worylow management system, Email system, multimedia conference system and BBS arefrequently used in human collaborative work Nowadays with the technologies progressing and the increasing of information exchange, the demand of natural communication among individuals is just increasing. In our project ECIC (E-Commerce Oriented Integrated Cooperative Platform),a worylow bused cooperative platform is designed ECIC is an integrated system. It comprises multimedia conference syytem, white board, emuil system and other Internet uppficutions It wifl provide convenient tools used in collaborative work.
Dripping, Jetting, Drops, and Wetting: The Magic of Microfluidics

The following article is based on the Symposium X presentation given by David A. Weitz (Harvard University) on April 11, 2007, at the Materials Research Society Spring Meeting in San Francisco. The article describes how simple microfluidic devices can be used to control fluid flow and produce a variety of new materials. Based on the concepts of coaxial flow and hydrodynamically focused flow, used alone or in various combinations, the devices can produce precisely controlled double emulsions (droplets within droplets) and even triple emulsions (double emulsions suspended in a third droplet). These structures, which can be created in a single microfluidic device, have various applications such as encapsulants for drugs, cosmetics, or food additives.
Machine Learning for Network Intrusion Detection Final Report for CS 229 , Fall 2014

Cyber security is an important and growing area of data mining and machine learning applications. We address the problem of distinguishing benign network traffic from malicious network-based attacks. Given a labeled dataset of some 5M network connection traces, we have implemented both supervised (Decision Trees, Random Forests) and unsupervised (Local Outlier Factor) learning algorithms to solve the binary classification problem of whether a given connection is normal or abnormal (malicious). Our results for LOF are mixed and hard to interpret, but with Decision Trees we are able to achieve prediction accuracies of over 90% for both normal and abnormal connections. Posterior analysis of the best-performing trees gives us new insight into the relative importance of different features for attack classification and suggests future avenues to explore.
Design and Implementation of an Integrated Fault-Supervising System for Large HPCs

Faults and failures are the biggest obstacles that limit high-performance computing systems (HPCs) to exert their functions and performance. To minimize or dispel their influences, the HPCs must be supervised to obtain correlative information in time, according to which effective actions could be taken as soon as possible. To probe into this solution, an integrated fault-supervising system (IFS) designed for a large HPC system is presented in this paper, with large numbers of distributed sensors and intelligent control units to acquire fault information rapidly. Furthermore, it has the ability of automatic emergency processing in certain circumstances according to the acquired information, and it supports both local and remote management with convenient and visual interfaces. Up to now, the supervising system has been acting well for a few years and helps the target system reach over 90% availability, which indicates in a degree that the design is successful and the supervising system deserves further research and could have a bright future in wider range of application.
Laboratory Evaluation Techniques to Investigate the Spatial Potential of Repellents for Push and Pull Mosquito Control Systems

ABSTRACT A protocol has been developed for the indoor evaluation of candidate spatial repellents intended for use in push and pull systems. Single treatments (catnip oil, 1-methylpiperazine, and homopiperazine) and a mixture of catnip oil and homopiperazine were tested with yellow-fever mosquitoes (Aedes aegypti) in Y-tube olfactometers to determine 1) if these compounds inhibited mosquito host-seeking at short distances and 2) if results obtained in olfactometer tests can be correlated with a larger scale set-up, that is, a room test. All test materials significantly decreased the ability of mosquitoes to find host odors (from a human finger) by up to 96.7% (2.5% catnip and homopiperazine mix). Similar effects could be observed within a new room test set-up, which involved a repellent dispensing system and an attractive trap (BG-Sentinel). Mosquitoes captured by the BGS trap had to fly through a treatment-containing air curtain created by the dispensing system. Compared with the use of a control (ethanol solvent without candidate repellent), trap catch rates were significantly reduced when 5% catnip, 5% 1-methylpiperazine, and 5% homopiperazine were dispensed. Homopiperazine produced the greatest level of host-seeking inhibition with a 95% reduction in the trap catches. The experimental set-up was modified to test the viability of those technologies in a simple push & pull situation. The combination of BGS trap and a 10% mix of catnip and homopiperazine helped to reduce human landing rates by up to 44.2% with a volunteer sitting behind the air curtain and the trap running in front of the curtain.
Analysis of local communication load in shape formation of a distributed morphogenetic swarm robotic system

Morphogenesis is the biological process that governs self-organized spatial pattern formation of cells during the embryonic development of multi-cellular organisms. Inspired by this process, we have proposed a morphogenetic framework for pattern formation and boundary coverage in a distributed swarm robotic system. The framework is based only on local communications among robots and will set up a local coordinate system. This paper focuses on the theoretical and empirical analysis of the framework regarding two aspects, namely, local communication load among the robots, and system performance such as system convergence time and average travel distance of robots for several pattern formation tasks. Results show that the proposed framework is efficient and scalable for self-organizing distributed swarm robotic systems with reasonable local communication load among robots.
Improving neural function in older adults through targeted exercise

This thesis explored age-related differences in neurophysiological function, and identified and compared the efficacy and time-course of adaptations following externally-paced strength training, balance and visuomotor training. Older adults were shown to have functional deficits compared to young adults, but the interventions induced neuroplasticity and resulted in improved functional outcomes.
Performance analysis of multiple relay multi-cellular interference networks

We consider a single-input multiple-output (SIMO) multiple-access channel (MAC) multi-cellular communication scenario in which two base stations having a group of users each, are situated in two adjacent cells. In order to provide cooperative diversity at the base stations (BSs), multiple relays are used. Each group of users transmits information to its corresponding BS directly as well as via relays, but at the same time it provides interference at the BS of adjacent cell. The BSs are equipped with multiple antennas while the users of each group and relays are equipped with single antenna. We are interested to study the capacity of the each base station in both the optimal and normal cases with and without interference. Considering maximal ratio combining (MRC) at the BSs, at first, we derive the expression of combiner output signal-to-interference plus noise ratio (SINR) using optimum weighting vector. Then we use this SINR to calculate the optimal ergodic capacity. Finally, we derive the expression of normal ergodic capacity for both the base stations. Our results show that, optimization of combiner output SINR by weighting vector at the base stations enhances the ergodic capacity in multi-cellular interference channels.
LODE: Linking digital humanities content to the web of data

Numerous digital libraries projects maintain their data collections in the form of text, images, and metadata. While data may be stored in many formats, from plain text to XML to relational databases, the use of the resource description framework (RDF) as a standardized representation has gained considerable traction during the last five years. Almost every digital humanities meeting has at least one session concerned with the topic of digital humanities, RDF, and linked data, including JCDL. While most existing work in linked data has focused on improving algorithms for entity matching, the aim of our Linked Open Data Enhancer Lode is to work “out of the box”, enabling their use by humanities scholars, computer scientists, librarians, and information scientists alike. With Lode we enable non-technical users to enrich a local RDF repository with high-quality data from the Linked Open Data cloud. Lode links and enhances the local RDF repository without reducing the quality of the data. In particular, we support the user in the enhancement and linking process by providing intuitive user-interfaces and by suggesting high quality linking candidates using state of the art matching algorithms. We hope that the Lode framework will be useful to digital humanities scholars complementing other digital humanities tools.
RASSF6 Expression in Adipocytes Is Down-Regulated by Interaction with Macrophages

Macrophage infiltration into adipose tissue is associated with obesity and the crosstalk between adipocytes and infiltrated macrophages has been investigated as an important pathological phenomenon during adipose tissue inflammation. Here, we sought to identify adipocyte mRNAs that are regulated by interaction with infiltrated macrophages in vivo. An anti-inflammatory vitamin, vitamin B6, suppressed macrophage infiltration into white adipose tissue and altered mRNA expression. We identified >3500 genes whose expression is significantly altered during the development of obesity in db/db mice, and compared them to the adipose tissue mRNA expression profile of mice supplemented with vitamin B6. We identified PTX3 and MMP3 as candidate genes regulated by macrophage infiltration. PTX3 and MMP3 mRNA expression in 3T3-L1 adipocytes was up-regulated by activated RAW264.7 cells and these mRNA levels were positively correlated with macrophage number in adipose tissue in vivo. Next, we screened adipose genes down-regulated by the interaction with macrophages, and isolated RASSF6 (Ras association domain family 6). RASSF6 mRNA in adipocytes was decreased by culture medium conditioned by activated RAW264.7 cells, and RASSF6 mRNA level was negatively correlated with macrophage number in adipose tissue, suggesting that adipocyte RASSF6 mRNA expression is down-regulated by infiltrated macrophages in vivo. Finally, this study also showed that decreased RASSF6 expression up-regulates mRNA expression of several genes, such as CD44 and high mobility group protein HMGA2. These data provide novel insights into the biological significance of interactions between adipocytes and macrophages in adipose tissue during the development of obesity.
Agility in information systems development : characterisation , motivation and conceptualisation

The highly competitive business environment organisations operate in is characterised by constant change. In order to manoeuvre through or even take advantage of the turbulences created by internal and external change factors, organisations are increasingly confronted with the need to respond and adapt in a quick and resourceful fashion – they need to be agile (Mathiassen & Pries-Heje, 2006). Information technology (IT) has a crucial, and at the same time ambivalent role with regards to agility: it can be an enabler and a disabler (van Oosterhout et al., 2006). While a malleable and simple IT infrastructure may support an organisation in its attempts to reconfigure its capabilities and business processes in order to take advantage of expected and unexpected turbulences, a rigid and complex IT infrastructure may hinder those efforts. Organisations developing software or software-supported products face additional challenges, as not only their IT infrastructure, but also their software development processes need to be agile (Mathiassen & Pries-Heje, 2006).
CCG Contextual labels in Hierarchical Phrase-Based SMT

In this paper, we present a method to employ target-side syntactic contextual information in a Hierarchical Phrase-Based system. Our method uses Combinatory Categorial Grammar (CCG) to annotate training data with labels that represent the left and right syntactic context of target-side phrases. These labels are then used to assign labels to nonterminals in hierarchical rules. CCG-based contextual labels help to produce more grammatical translations by forcing phrases which replace nonterminals during translations to comply with the contextual constraints imposed by the labels. We present experiments which examine the performance of CCG contextual labels on Chinese‐English and Arabic‐ English translation in the news and speech expressions domains using different data sizes and CCG-labeling settings. Our experiments show that our CCG contextual labels-based system achieved a 2.42% relative BLEU improvement over a PhraseBased baseline on Arabic‐English translation and a 1% relative BLEU improvement over a Hierarchical Phrase-Based system baseline on Chinese‐English translation.