Miracle-dz/UniFAR-FTUs huggingface dataset:
A novel buffer management for delayed delivery traffic in future networks

A lot of attention has been on developing the next generation networks to deliver the traffic in intelligent and scalable manner. With the development of Internet of Things (IoT), new and dynamic methods to access data are surfacing in mobile networks. One such approach is to send or receive data at a scheduled time where the users predefine the tasks. For example, the customer may wish to download/upload the data before a particular time and in such instance, the network intelligence will schedule the task at appropriate time. This paper considers the model of delayed traffic delivery and proposes an innovative buffer management algorithm to deal with it. By applying the proposed algorithm in TCP environment, significant amount of savings in packet loss and higher link utilization is observed. The results are compared with other queuing algorithms like drop-tail, random early detection (RED) and they promises the objective. It is expected that by deploying it in bigger scale, the overall network link utilization can be increased. In addition, some directions of future work are presented to embrace the scheme together with effective frameworks.
Enhancing Information Reliability through Backwards Propagation Of Distrust

—Search Engines have greatly inﬂuenced the way we experience the web. Since the early days of the web people have been relying on search engines to ﬁnd useful information. However, their ability to provide useful and unbiased information can be manipulated by Web spammers. Web spamming, the practice of introducing artiﬁcial text and links into web pages to affect the results of searches, has been recognized as a major problem for search engines. But it is mainly a serious problem for web users because they tend to confuse trusting the search engine with trusting the results of a search. Inthis paper, ﬁrst we discuss the relationship between Web spam in cyber world and social propaganda in the real world. Then, we propose “backwards propagation of distrust,” as an approach to ﬁnding spamming untrustworthy sites. Our approach is inspired by the social behavior associated with distrust. In society, recognition of an untrustworthy entity (person, institution, idea, etc) is a reason for questioning the trustworthiness of those that recommended this entity. People that are found to strongly support untrustworthy entities become untrustworthy themselves. In other words, in the society, distrust is propagated backwards. Our algorithm simulates this social behavior on the web graph with considerable success. Moreover, by respecting the user’s perception of trust through the web graph, our algo-rithm makes it possible to resolve the moral question of who should be making the decision of weeding out untrustworthy spammers in favor of the user, not the search engine or some higher authority. Our approach can lead to browser-level, or personalized server-side, web ﬁlters that work in synergy with the powerful search engines to deliver personalized, trusted web results. An earlier version of this paper was presented at [35
A low-complexity noncoherent IR-UWB transceiver architecture with TOA estimation

Impulse-radio (IR)-based ultra-wideband (UWB) technology is a strong candidate for short-range data communication and positioning systems. This paper examines the performance of time-of-arrival (TOA) position estimation techniques as well as the simulated and measured performances of an IR-UWB noncoherent energy-collection receiver. The noncoherent IR-UWB transceiver has been designed for operation over the frequency range 3.1-4.1 GHz and implemented in 0.35-/spl mu/m SiGe BiCMOS technology. The performance of two different algorithms, namely, the threshold-crossing and the maximum selection (MAX) algorithms, are compared in terms of TOA estimation error in Saleh Valenzuela channel model 3 and channel model 4. The implemented structure of the TOA MAX algorithm suitable for IR-UWB-based noncoherent receivers is presented. A UWB testbed has been constructed in order to test and measure the transmitted waveform as well the receiver performances. The simulated receiver noise figure is 7.3 dB while the receiver gain is 34 dB. The TOA MAX algorithm can achieve /spl plusmn/5-ns positioning accuracy for 95% of cases. Constant transconductance tuning circuits for improved TOA estimation reliability are also presented.
Structural constraints in the packaging of bluetongue virus genomic segments

The mechanism used by bluetongue virus (BTV) to ensure the sorting and packaging of its 10 genomic segments is still poorly understood. In this study, we investigated the packaging constraints for two BTV genomic segments from two different serotypes. Segment 4 (S4) of BTV serotype 9 was mutated sequentially and packaging of mutant ssRNAs was investigated by two newly developed RNA packaging assay systems, one in vivo and the other in vitro. Modelling of the mutated ssRNA followed by biochemical data analysis suggested that a conformational motif formed by interaction of the 5′ and 3′ ends of the molecule was necessary and sufficient for packaging. A similar structural signal was also identified in S8 of BTV serotype 1. Furthermore, the same conformational analysis of secondary structures for positive-sense ssRNAs was used to generate a chimeric segment that maintained the putative packaging motif but contained unrelated internal sequences. This chimeric segment was packaged successfully, confirming that the motif identified directs the correct packaging of the segment.
Theory and Simulation in Neuroscience

Theory Drives Understanding The role of theory and simulation in neuroscience has been hotly debated over the past few years, in particular in the context of the recent launch of several big projects aimed at creating artificial or virtual brains. Gerstner et al. (p. 60) review how theory and simulations have interacted over the years and how they have contributed to our present view of how the brain works. Modeling work in neuroscience can be classified using two different criteria. The first one is the complexity of the model, ranging from simplified conceptual models that are amenable to mathematical analysis to detailed models that require simulations in order to understand their properties. The second criterion is that of direction of workflow, which can be from microscopic to macroscopic scales (bottom-up) or from behavioral target functions to properties of components (top-down). We review the interaction of theory and simulation using examples of top-down and bottom-up studies and point to some current developments in the fields of computational and theoretical neuroscience.
Focal region characteristics of focused array antennas

The effects of focused aperture amplitude tapering, both direct and inverse, on axial forelobes and aftlobes are investigated. Taylor tapers give low sidelobes but high forelobes and aftlobes, plus a modest gain degradation. Inverse tapers give low forelobes and aftlobes but high sidelobes and large gain degradation. Uniform excitation gives comparable axial and transverse subsidiary lobes, and is probably the best choice. Focal shift, where the peak axial power density occurs between the aperture and the phase (geometric) focus, due to the 1/R^{2} factor, is accurately calculated for a uniform square aperture. Since peak axial power density available from a focused aperture depends only on aperture size in wavelengths and on distance, these focal shift results allow system trade-offs to be made.
How loneliness affects problematic Facebook use

The main objective of this paper is to show how loneliness affects problematic Facebook use. We integrated the concept of loneliness in the advanced cognitive-behavioral model of generalized problematic Internet use and empirically tested the model with 200 Facebook users. Our findings suggested that loneliness predisposes individuals to the development of problematic Facebook use and confirmed that the preference for online social interaction and mood regulation predict deficient self-regulation of Facebook use and which in turn leads to negative
Secure Lookup without ( Constrained ) Flooding

We present a new protocol for secure routing in overlay networks. Our protocol exports the same functionality as regular decentralized lookup protocols [9, 10, 12, 14, 15]. Moreover, the existing routing protocols can be enriched with the security primitives we introduce. Recall that a routing protocol exports a lookup operation that, given a key in a virtual identifier space (the id space), locates the node (or the group of nodes) that are, in a well-defined sense, the closest to the key. The routing primitive can then be used, e.g., to implement a secure Distributed Hash Table (DHT), a popular abstraction for publishing and retrieving items in a decentralized manner. Originally, decentralized lookup protocols assumed that nodes are cooperative (follow their specifications unless they fail by crashing) and provided the lookup operation in O(log(N)) network hops where N is the number of participating nodes. There have been a number of improvements to the base schemes in the cooperative scenario, including reduction of some of the operations to an amortized constant [7]. All of these protocols, however, are susceptible to various attacks if the underlying assumption that nodes are cooperative is violated. In particular, malicious nodes may mis-route or simply drop protocol messages. Even a small fraction of compromised nodes can adversely affect all routing guarantees. There have been a number of prior efforts towards securing a routing protocol. Castro et al. [2] and Fiat et al. [4] both consider systems where at most 4 of the nodes are malicious. In order to securely forward messages, Castro et al. relies on redundant routing, which floods the message along multiple paths. Fiat et al.’s solution, S-Chord, groups sets of contiguous nodes into swarms. Nodes flood requests to every node in a swarm, which requires O(log n) messages. A different attack model is considered in [8] — here, each node can be mapped to its autonomous system (AS), and adversaries are constrained to at most k. Within these ASs, there can be unlimited number of adversaries (perhaps even totaling more then 4 of all nodes in the system). Like S-Chord, the protocol in [8], also divides the id space into a set of contiguous neighborhoods, and uses Byzantine agreement
Visually Gesture Recognition for an Interactive Robot Grasping Application

Gesture based natural human-robot interaction paradigm has few physical requirements, and thus can be deployed in many restrictive and challenging environments. In this paper, we propose a robot vision based approach to recognizing intentional arm-pointing gestures of human for an object grasping application. To overcome the limitation of robot onboard vision quality and background cluttering in natural indoor environment, a multi-cue human detection method is proposed. Human body is detected and verified by merging appearance and color features with robust head-shoulder based shape matching for reducing the false detection rate. Then intentional dynamic arm-pointing gestures of a person are identified using Dynamic Time Warping (DTW) technique, whilst unconscious motions of arm and head are rejected. Implementation of a gesture-guided robot grasping task in an indoor environment is given to demonstrate this approach, in which a fast and reliable recognition of pointing gesture recognition is achieved.
Hormetic Modulation of Aging and Longevity by Mild Heat Stress

Aging is characterized by a stochastic accumulation of molecular damage, progressive failure of maintenance and repair, and consequent onset of age-related diseases. Applying hormesis in aging research and therapy is based on the principle of stimulation of maintenance and repair pathways by repeated exposure to mild stress. In a series of experimental studies we have shown that repetitive mild heat stress has anti-aging hormetic effects on growth and various other cellular and biochemical characteristics of human skin fibroblasts undergoing aging in vitro. These effects include the maintenance of stress protein profiles, reduction in the accumulation of oxidatively and glycoxidatively damaged proteins, stimulation of the proteasomal activities for the degradation of abnormal proteins, improved cellular resistance to ethanol, hydrogenperoxide and ultraviolet-B rays, and enhanced levels of various antioxidant enzymes. Anti-aging hormetic effects of mild heat shock appear to be facilitated by reducing protein damage and protein aggregation by activating internal antioxidant, repair and degradation processes.
Fuzzy Logic Controlled Miniature LEGO Robot for Undergraduate Training System

Fuzzy logic enables designers to control complex systems more effectively than traditional approaches as it provides a simple way to arrive at a definite conclusion upon ambiguous, imprecise or noisy information. In this paper, we describe the development of two miniature LEGO robots, which are the line following and the light searching mobile robots to provide a better understanding of fuzzy logic control theory and real life application for an undergraduate training system. This study is divided into two parts. In the first part, an object sorter robot is built to perform pick and place task to load different colour objects on a fuzzy logic controlled line following robot which then carries the preloaded objects to a goal by following a white line. In the second part, an intelligent fuzzy logic controlled light searching robot with the capability to navigate in a maze is developed. All of the robots are constructed by using the LEGO Mindstorms kit. Interactive C programming language is used to program fuzzy logic robots. Experimental results show that the robots has successfully track the predefined path and navigate towards light source under the influence of the fuzzy logic controller; and therefore can be used as a training system in undergraduate fuzzy logic class.
Identification of Linear Dynamical Time-variant Systems using Feedforward Neural Network

In this paper, the authors have attempted the identification of linear time-varying discrete time dynamic system. It is supposed that such systems are signified by transfer function characterizations. As the behaviour of the system changes, the neuron model developed keeps track of the changes in the characteristics and parameters of the system. Thus, at any instant of time, it correctly simulates the given time-varying system, despite the significant changes in systems property. The excellent approximating capability of the neural network is used to identify the relationship between system variables and parameters. In essence, a neural network perfectly mimics and identifies the actual physical system. It is shown that a simple feedforward neural network containing a single neuron fairly accurately simulates the linear dynamical time-variant system under consideration, which may have Auto-regressive or Moving-average or Autoregressive moving-average model.
DOES PREPARTUM SUPPLEMENTAL FEED IMPACT BEEF CATTLE PROFITABILITY THROUGH FINISHING?

Abstract Little is known about the impact of a supplemental prepartum feed ration for cows on the profitability of their calves. Therefore, we investigated the impact of animal characteristics and a supplemental prepartum feed program for cows on net returns to finished steers and the probability of a steer grading Choice or higher. Data were collected for 160 Tennessee steers that were finished in a feedlot. The supplemental prepartum feeding program decreased net returns of finished steers. Several animal characteristics were found to influence net returns of finished steers and the probability of a steer grading Choice or higher.
Understanding the work of an HCI practitioner

Users should be involved in the development of information technology (IT) artifacts. However, this is challenging, especially in product development context, in which Human Computer Interaction (HCI) practitioners tend to be hired to 'represent the users' in the development. However, also their work has proven to be challenging. This paper analyzes their work by utilizing a metaphor of IT artifacts as texts and their development as writing. It is assumed that during writing the IT artifact texts 'users are configured'. HCI practitioners are to contribute to the 'configuration of the user'. However, divergent roles are assigned to these practitioners, both in theory and in practice. Therefore, both theoretical and empirical analyses of the work of the HCI practitioners are carried out, and implications both for theory and practice are discussed. Particularly the semiotic approach introduced in this paper and its implications on HCI theory are reflected on.
Biophysical Detection of Diversity and Bias in GPCR Function

Guanine nucleotide binding protein (G protein)-coupled receptors (GPCRs) function in complexes with a range of molecules and proteins including ligands, G proteins, arrestins, ubiquitin, and other receptors. Elements of these complexes may interact constitutively or dynamically, dependent upon factors such as ligand binding, phosphorylation, and dephosphorylation. They may also be allosterically modulated by other proteins in a manner that changes temporally and spatially within the cell. Elucidating how these complexes function has been greatly enhanced by biophysical technologies that are able to monitor proximity and/or binding, often in real time and in live cells. These include resonance energy transfer approaches such as bioluminescence resonance energy transfer (BRET) and fluorescence resonance energy transfer (FRET). Furthermore, the use of fluorescent ligands has enabled novel insights into allosteric interactions between GPCRs. Consequently, biophysical approaches are helping to unlock the amazing diversity and bias in G protein-coupled receptor signaling.
Augmented LQG Optimal Control of Dynamic Performance for ETG System

Running of unstable speed exhaust turbine generator (ETG) using main engine (ME) waste heat by high turbulence intensities, in order to demand maximization of regenerative energy harvested from the ME waste heat and minimization of damage caused by mechanical losses and fatigue. ALQG control scheme for output power leveling with unknown dynamics is proposed in this paper. The control scheme applies a neurocontroller (NC), regulates rotational speed and generator torque by specifying optimal-load ratio demanded generator output power. SINAMICS technology ensures rated power output of ETG. A second-order power control model and a stochastic exhaust gas field model are established in the analysis; power matching characteristic is analyzed, hardware-in-the-loop simulation is researched. Simulation results indicate the ALQG control scheme effectively harmonizes the relation between rotor speed and the highly turbulent exhaust gas speed thereby regulating shaft moment and maintaining rated power.
PERCEIVED CONTROL IN THE RELATIONSHIP BETWEEN BIG FIVE PERSONALITY FACTORS AND COUNTERPRODUCTIVE ACADEMIC BEHAVIOR: STRUCTURAL EQUATION MODELING

he aim of this study was to investigate the structural relationship between personality traits and counterproductive academic behavior through perceived control. The participants were 294 university students selected by multistage random cluster sampling method from Shiraz University. The participants completed the Big Five Factor Scale (Goldberg, 1999), the Spheres of Control Scale (Paulhus, 1983), and the Counterproductive Student Behavior Scale (Rimkus, 2012). The results indicated that the model had good fit indices. There were direct effects of extroversion and conscientiousness on counterproductive academic behavior. The extroversion and conscientiousness had an indirect effect on counterproductive academic behavior through perceived control. The findings suggested that conscientiousness and extroversion predicted perceived control and in turn perception of control determined level of counterproductive academic behavior.
Organic Matter Modeling at the Landscape Scale Based on Multitemporal Soil Pattern Analysis Using RapidEye Data

This study proposes the development of a landscape-scale multitemporal soil pattern analysis (MSPA) method for organic matter (OM) estimation using RapidEye time series data analysis and GIS spatial data modeling, which is based on the methodology of Blasch et al. The results demonstrate (i) the potential of MSPA to predict OM for single fields and field composites with varying geomorphological, topographical, and pedological backgrounds and (ii) the method conversion of MSPA from the field scale to the multi-field landscape scale. For single fields, as well as for field composites, significant correlations between OM and the soil pattern detecting first standardized principal components were found. Thus, high-quality functional OM soil maps could be produced after excluding temporal effects by applying modified MSPA analysis steps. A regional OM prediction model was developed using four representative calibration test sites. The MSPA-method conversion was realized applying the transformation parameters of the soil-pattern detection algorithm used at the four calibration test sites and the developed regional prediction model to a multi-field, multitemporal, bare soil image mosaic of all agrarian fields of the Demmin study area in Northeast Germany. Results modeled at the landscape scale were validated at an independent test site with a resulting prediction error of 1.4 OM-% for the main OM value range of the Demmin study area.
Efficient Sanitization of Informative Association Rules with Updates

We propose here an efficient data-mining algorithm to sanitize informative association rules when the database is updated, i.e., when a new data set is added to the original database. For a given predicting item, an informative association rule set [16] is the smallest association rule set that makes the same prediction as the entire association rule set by confidence priority. Several approaches to sanitize informative association rules from static databases have been proposed [27]-[28]. However, frequent updates to the database may require repeated sanitizations of original database and added data sets. The efforts of previous sanitization are not utilized in these approaches. In this work, we propose using pattern inversion tree to store the added data set in one database scan. It is then sanitized and merged to the original sanitized database. Numerical experiments show that the proposed approach out performs the direct sanitization on original and added data sets, with similar side effects.