Miracle-dz/UniFAR-FTUs huggingface dataset:
Downlink Resource Allocation for Next Generation Wireless Network Using Turbo Codes over Non-Linear Channel

In this project, a downlink resource allocation scheme for OFDMA-based next generation wireless network targets high data rate and efficient resource usage the scheme consist of radio resource and power allocation which are implemented separately. Low complexity heuristic algorithm are first proposed to achieved the radio resource allocation, where graph base framework and fine physical resource block assignment are performed to mitigate major ICI and hence improve the network performance. A novel distributed power allocation is then performed to optimize the performance of cell edge users under desirable conditions. The power optimization is formulated as an iterative barrier constrained water filling problem and solved by Lagrange method. Joint ML MMSE is used to develop simple receiver structure that gives joint ML estimates of multipath channel and the transmitted data sequence. Simulation results indicate that our proposed scheme can improve performance of cell edge users in multicell network
Influence of food composition type on the microwave heating time in relation to the inactivation of Salmonella enterica serovar Enteritidis and Shiga-toxigenic Escherichia coli (STEC) O157

F U L L P A P E R Influence of food composition type on the microwave heating time in relation to the inactivation of Salmonella enterica serovar Enteritidis and Shiga-toxigenic Escherichia coli (STEC) O157 New, C.Y. , Abdul Rahman, R. , Mohammed, A.S. , Ubong, A. , Chang, W.S. , Thung, T.Y. , Tan, C.W. , Lee, E. , Tang, J-Y-H. and Son, R. Department of Food Science, Faculty of Food Science and Technology, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor Darul Ehsan, Malaysia Department of Food Technology, Faculty of Food Science and Technology, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor Darul Ehsan, Malaysia Department of Microbiology and Biotechnology, Faculty of Science, Federal University Dutse, Jigawa State, Nigeria Faculty of Bioresources and Food Industry, Universiti Sultan Zainal Abidin, 22200 Besut, Terengganu Food Safety and Food Integrity, Institute of Tropical Agriculture and Food Security, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor Darul Ehsan, Malaysia
Computable Criterions for an Optimal Control of Fractional Integrodifferential Systems in Banach Spaces with Distributed Delays in The Control

In this work,Fractional Integrodifferential Systems in Banach Spaces withnbsp Distributed Delays in the Control of the form is presented for investigation of existence and form ofnbsp an optimal control of thenbsp system . Use is made of the Unsymmetric Fubini Theorem to establish the exactnbsp mild solution of the system.The set functions upon which our results hinged are extracted from the mild solution.The concept of the game of pursuit and that of the Signum function are also used to establish results.The main result is built on the maximization of a set function,a technique drawn from the calculus of variation.Necessary and sufficient conditions for existence and form of control for the system are established.
The Sense of Agency: Underlying Neurocognitive Mechanisms and its Attribution to Human and Non-Human Co-Actors

Our everyday interactions depend on the ability to maintain a feeling of control over our bodily actions, that is, the sense of agency. The intentional binding effect – a perceived temporal shortening between voluntary actions and sensory outcomes – has been shown to implicitly measure agency. We investigated the effect’s underlying mechanisms: prediction and retrospective inference. First, long-term and recent action-outcome coupling were compared. Second, brain activity was recorded to uncover the neural correlates of the two mechanisms. Our results show that the recent accumulation of action-outcome coupling, but not that of a long-term accumulation, is correlated with the binding effect of actions and accounts for both mechanisms. Temporal action binding was reflected in both the readiness potential and the auditory evoked potential. The results shed new light on our understanding of the influence that immediate context of an action has on its temporal binding and the neural substrate of human agency.
Modeling the Miocene Climatic Optimum. Part I: Land and Atmosphere*

AbstractThis study presents results from the Community Climate System Model 3 (CCSM3) forced with early to middle Miocene (~20–14 Ma) vegetation, topography, bathymetry, and modern CO2. A decrease in the meridional temperature gradient of 6.5°C and an increase in global mean temperature of 1.5°C are modeled in comparison with a control simulation forced with modern boundary conditions. Seasonal poleward displacements of the subtropical jet streams and storm tracks compared to the control simulation are associated with changes in Hadley circulation and significant cooling of the polar stratosphere, consistent with previously predicted effects of global warming. Energy budget calculations indicate that reduced albedo and topography were responsible for Miocene warmth in the high-latitude Northern Hemisphere while a combination of increased ocean heat transport and reduced albedo was responsible for relative warmth in the high-latitude Southern Hemisphere, compared to the present. Model–data analysis suggest.
Fusion of Rough Set Theory and Linear SVM for Intrusion Detection System

In order to detect, identity and hold up network attacks, a network intrusion detection system based on rough set theory and multiclass linear support vector machine (linear SVM) is in this article. The system makes the most of rough set theory and linear SVM to reduce the redundancies of data sets and improve the detection rate of IDS. The simulation experiment shows this approach has higher ratio of correct classification, while shortens training time of the classifier in a wide range, which is going to a pretty momentous improvement in real-time detection. On the other hand, this approach has reduced memory usage and improved the generalization ability of the system.
Reliability challenges and design considerations for Wafer-Level packages

Wafer-level packaging (WLP) is essentially a true chip-scale packaging (CSP) technology, since the resulting package is practically of the same size as the die. Furthermore, wafer-level packaging paves the way for true integration of wafer fab, packaging, test, and burn-in at wafer level, for the ultimate streamlining of the manufacturing process undergone by a device from silicon start to customer shipment. There are several WLP technology classifications. Redistribution layer and bump technology, the most widely-used WLP technology, extends the conventional wafer fab process with an additional step that deposits a multi-layer thin-film metal rerouting and interconnection system to each device on the wafer. In this paper, an overview of the state of art WLP packaging technologies will be presented. The emphasis will be given to the challenges in reliability and the solutions based on the design.
Bullying in college and relation to self-esteem and parenting styles

Steven Russell BULLYING IN COLLEGE AND RELATION TO SELF-ESTEEM AND PARENTING STYLES 2002/2003 Dr. Mark Chapell Master of Arts in Applied Psychology and Mental Health Counseling This study investigates bullying in college and the relationship of bullying and self-esteem in the victims of bullying, as well as the relationship of parenting styles to bullying behavior. The study utilized N = 85 undergraduate students from a midsize northeastern university. The participants were administered a demographic questionnaire, a bullying questionnaire, the Rosenberg Self-Esteem Scale and the Parental Authority Questionnaire. Frequency percentages were used to report incidence and types of bullying behavior. A correlation matrix was employed to ascertain the relationships between bullying and self-esteem, as well as between parenting style and bullying behavior, and a multiple regression analysis was used to further examine the relationship between parenting style and bullying behaviors. The results of the study showed that bullying in college by students and teachers is a fairly common occurrence. There were no gender differences found in frequency or type of bullying. Participants reported that the most common type of bullying by students and teachers was verbal bullying. Students also reported social exclusion and isolation as a type of bullying, but to a lesser extent. There were no reports of physical bullying by students or teachers. As expected, there was a significant negative correlation between frequency of bullying and self-esteem. As hypothesized, student bullying behavior was predicted significantly by mother's permissive style and father's authoritarian parental style.
Autonomous demand-side optimization with load uncertainty

Demand-side management (DSM) will play an important role in balancing the energy distribution and demand in future smart grids. Indeed DSM is one of the important functions in a smart grid that allows customers to make informed decisions regarding their energy consumption, and help the energy providers reduce the peak load demand and reshape the load profile [1]-[4]. Achieving effective DSM is crucial to the success of the smart grid. The success of DSM programs mainly depends on how big a portion of the total energy load is controllable. Efficient DSM, promote immediate change of consumption by shifting or reducing load through incentives or pricing mechanisms [3]. In this article, we consider load control in a multiple residence setup, where energy consumption scheduler (ECS) devices in smart meters are employed for DSM. Several residential endusers share the same energy source and each residential user has non-adjustable loads, adjustable loads and a storage device. Residential users utilize ECS deployed inside their smart meters for the adjustable loads as well as charging and discharging of their storage devices. The smart meters with ECS functions interact automatically by running a centralized algorithm to find the optimal energy consumption schedule for each user in order to reduce the total energy cost as well as the peak-to-average-ratio (PAR) in load demands. The objective is to minimize the energy cost in the system as well as PAR. Simulation results demonstrate that our proposed scheme significantly reduces the PAR and the total cost of electricity.
The antibiotic susceptibility of Neisseria gonorrhoeae isolated in Ulaanbaatar, Mongolia

The incidence and prevalence of gonorrhoea in Mongolia appear to be high and increasing.1 Progress towards control of gonorrhoea requires the availability of effective antibiotic treatment. However, the susceptibility of Neisseria gonorrhoeae isolated in Mongolia is difficult to ascertain. A brief report some years ago noted “substantial” resistance to penicillins and quinolones and, surprisingly, third generation cephalosporins.2 Other factors decrease antibiotic availability. Some efficacious antibiotics recommended for treatment of gonorrhoea in developed countries are too expensive in Mongolia1 so that tetracyclines, gentamicin, and quinolones are most often used. Antibiotics are also freely available from pharmacies in Mongolia, and treatments obtained from these sources may be multidose and uncontrolled. There is thus the potential for the development of further antibiotic resistance. The susceptibility of gonococcal isolates from Ulaanbaatar to a number of antibiotics recommended for treatment in WHO standard guidelines and the in vitro susceptibility of gonococci to gentamicin, an aminoglycoside antibiotic currently used in Mongolia, is reported. Analysis of patterns of antibiotic resistance was enhanced by phenotyping gonococcal isolates. Fifty six unselected isolates from symptomatic patients (26 males and 30 females) attending the central STD clinic in Ulaanbaatar were identified by standard procedures. The minimum inhibitory concentration (MIC) and categorisation of the susceptibility of the isolates to penicillin, ciprofloxacin, spectinomycin, and ceftriaxone were determined by the standardised techniques.3 …
An Algorithm for Map Matching For Car Navigation System

The Global Positioning System is the most popular choice for positioning in car navigation systems. But in real life, the various noise sources affecting the signals and the instrumentation used by the positioning system, along with the map inaccuracies, result in the estimated position not necessarily being overlaid onto the road network. The process of mapping the output from the positioning system on to the road network is called map matching. In a recent study, a map matching algorithms that work based on weight factor has been verified then a new map matching algorithm based on is proposed. The proposed algorithm is a modified version of one of the topological map matching algorithms called Quddus's algorithm In order to show the effectiveness of the proposed algorithm, it is tested on the city map Arak and then the result is compared with the result obtained for Quddus's algorithm. In this paper, Correct mapping the output from GPS on the road network parameters is our purpose. The input to the system comes from Gps receiver (Gpsmap 76CS) and Arak map database. In this paper, the results show that the proposed algorithms can be effectively used to map matching.
Quickly touched - Shape replication with use of mouse, pen- and touch-input

This paper presents results of an experimental stud y of unconstrained linetracing task with use of mouse, penand touchinput. Our results show that participants usi ng touch� input performed as good as with use of mouse in ter ms of similarity of reproduced shape with peninput as th e best tool for drawing. Touchinput users were also the fastes t in comparison to the remaining input methods. Addition ally, we have observed subjective operational biases that to gether with shaperelated issues might have an influence o final scores.
A Model for Symmetric Replication Among Untrusted Peers

We introduce a formalism for designing distributed systems where processes cooperate in a group to maintain local copies of data with weak consistency. We focus on designs with two distinguishing properties. Firstly, each process in the group acts as a completely equal peer. There is no particular process holding a primary copy that determines how conflicts due to non-causal updates or malicious behavior are resolved. Secondly, no matter how large the fraction of malicious participants grows the rest of the group can continue to cooperate. There is no quota of processes that must have accepted an update to the data correctly before it becomes finally accepted by the group. Our formalism operates on sets of broadcast messages. Each carries not only a request to update the replicated data, but also captures the entire state of the sending process, including all messages that it has sent and received previously. This can, in practice, be achieved with cryptographic hash chains. Using our formalism, we present an agreement algorithm that decides in each process independently, which update requests to apply and in which order. It ensures eventual convergence of the replicated data to a consistent state on all correct processes.
Detection of Hospital Acquired Infections in sparse and noisy Swedish patient records : A machine learning approach using Naïve Bayes, Support Vector Machines and C4.5

Hospital Acquired Infections (HAI) pose a significant risk on patients’ health while their surveillance is an additional work load for hospital medical staff and hospital management. Our overall aim is to build a system which reliably retrieves all patient records which potentially include HAI, to reduce the burden of manually checking patient records by the hospital staff. In other words, we emphasize recall when detecting HAI (aiming at 100%) with the highest precision possible. The present study is of experimental nature, focusing on the application of Naive Bayes (NB), Support Vector Machines (SVM) and a C4.5 Decision Tree to the problem and the evaluation of the efficiency of this approach. The three classifiers showed an overall similar performance. SVM yielded the best recall value, 89.8%, for records that contain HAI. We present a machine learning approach as an alternative to rule-based systems which are more common in this task. The classifiers were applied on a small and noisy dataset, generating results which pinpoint the potentials of using learning algorithms for detecting HAI. Further research will have to focus on optimizing the performance of the classifiers and to test them on larger datasets.
Where Does Compositionality Come From?

This paper builds on the insight of Lashley (1951) and Miller, Galanter, & Pribram (1960) that action and motor planning mechanisms provide a basis for all serially ordered compositional systems, including language and reasoning. It reinterprets this observation in terms of modern AI formalisms for planning, showing that both the syntactic apparatus that projects lexical meanings onto sentences and the neural mechanisms that are known to be implicated in both language behavior and motor planning reflect exactly the same primitive combinatory operations. The paper then considers some neurocomputational mechanisms that can be applied to modeling this system, and the relation of the compositionality property to such mechanisms.
A theory of moving form perception: Synergy between masking, perceptual grouping, and motion computation in retinotopic and non-retinotopic representations

Because object and self-motion are ubiquitous in natural viewing conditions, understanding how the human visual system achieves a relatively clear perception for moving objects is a fundamental problem in visual perception. Several studies have shown that the visible persistence of a briefly presented stationary stimulus is approximately 120 ms under normal viewing conditions. Based on this duration of visible persistence, we would expect moving objects to appear highly blurred. However, in human vision, objects in motion typically appear relatively sharp and clear. We suggest that clarity of form in dynamic viewing is achieved by a synergy between masking, perceptual grouping, and motion computation across retinotopic and non-retinotopic representations. We also argue that dissociations observed in masking are essential to create and maintain this synergy.
A Light-weight Symmetric Encryption Algorithm Based on Feistel Cryptosystem Structure

WSNs is usually deployed in opening wireless environment, its data is easy to be intercepted by attackers. It is necessary to adopt some encryption measurements to protect data of WSNs. But the battery capacity, CPU performance and RAM capacity of WSNs sensors are all limited, the complex encryption algorithm is not fitted for them. The paper proposed a light-level symmetrical encryption algorithm: LWSEA, which adopt minor encryption rounds, shorter data packet and simplified scrambling function. So the calculation cost of LWSEA is very low. We also adopt longer-bit Key and circular interpolation method to produce Child-Key, which raised the security of LWSEA. The experiments demonstrate that the LWSEA possess better ―avalanche effect‖ and data confusion degree, furthermore, its calculation speed is far faster than DES, but its resource cost is very low. Those excellent performances make LWSEA is much suited for resource-restrained WSNs.
Gains in letter-speech sound integration in children with dyslexia: a six-month longitudinal study

A Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands B Maastricht Brain Imaging Center (M-BIC), Maastricht, The Netherlands C Department of Developmental Psychology, University of Amsterdam, Amsterdam, The Netherlands D IWAL Institute, Amsterdam, The Netherlands E Rudolf Berlin Center, Amsterdam, The Netherlands † Leo Blomert passed away on November 25, 2012
Applying the zeros switch-off technique to reduce static energy in data caches

Zeros switch-off is a leakage energy reduction technique applicable to cache memories. It works at the cache word level by removing the power supply of all or part of its most significant bytes when they store a zero, taking advantage of the high percentage of zero data bits in common programs. Experimental results, obtained by using the SPEC2000 benchmarks suite, show that the average leakage energy savings reach 60.3% with no IPC loss indeed. The proposed technique can be combined with other existing energy reduction techniques, reaching, on average, 67.3% savings with 0.5% IPC losses
Diagnostic and epidemiological studies of staphylococci in bovine mastitis

Diagnostic and epidemiological studies of staphylococci in bovine mastitis.Mastitis is the most common disease in dairy cows and is often caused by staphylococcal infections. The genus Staphylococcus is divided in coagulase-negative (CNS) and coagulase-positive (CPS) staphylococci. The CPS S. aureus is the most prevalent udder pathogen in Swedish dairy cows. For successful mastitis control accurate diagnostics and good understanding of the bacterial epidemiology is essential. This thesis describes methods for species differentiation within CNS and CPS, examines genotypic diversity of S. aureus isolates within Sweden, and identifies potential sources of S. aureus in herds with mastitis problems. First, three phenotypic tests (P-agar with acriflavin, β-galactosidase, and haemolytic reaction in chocolate agar) of eight biochemical tests evaluated were found useful for differentiation between the CPS species, S. aureus, S. hyicus and S. intermedius. The proportions of each species among bovine milk isolates were 97%, 1%, and 2%, respectively. Then, species identification of CNS using the Staph-Zym™ test was compared with sequencing of part of the tuf gene. Staph-Zym™ correctly identified 61%, but gave an incorrect species name in 28% of the milk isolates. Supplementary tests were frequently needed when using Staph-Zym™. In the next study, S. aureus isolates from a national survey on acute clinical mastitis were genotyped using pulsed-field gel electrophoresis (PFGE), and 25 pulsotypes (PTs) were identified. Three of the PTss accounted for over 50% of the isolates and were found all over the country. The distribution of PTs was different in the southern region than in the northern and middle regions of the country. Finally, S. aureus PTs in quarter milk samples, body samples (BS), and environment samples (ES) from various animal groups were studied in five herds with S. aureus mastitis problems. Herd differences were found, but all herds had one predominant unique milk PTs. In three farms this PTs was often found in BS and ES of lactating cows, and occasionally in samples from the other groups.