Miracle-dz/UniFAR-FTUs huggingface dataset:
An Intelligent Recommendation Method of E-Commerce Based on Ontology

There are some problems, such as “new product”, “new user” and “cold start” etc. in the current intelligent recommendation systems of e-commerce. To solve the above problems, we applied ontology technology in the intelligent recommendation of e-commerce and proposed a new intelligent recommendation method. Firstly, the concept of ontology was introduced and the ontology of e-commerce was built. Secondly, an intelligent recommendation method of e-commerce based on ontology was put forward. Furthermore, the working principle of the proposed method was analyzed and its core processes were described. Finally, the proposed method was proved to be rational and feasible via an experiment. The intelligent recommendation method can improve the efficiency of product retrieval and customer satisfaction.
Distinction between data losses for better communications in iot

Our objective in this paper is to improve the communications performance for IoT applications by proposing a new solution called IC-IoT (Improving Communication for IoT). The principle used is the exploitation of three existing communication protocol by incorporating some mechanisms to consider the different parameters which can cause the data loses. A probabilistic approach is used to know the impact of every single parameter on the communication performance. The calculated probabilities are used by routing, transport and MAC protocols to adapt their functioning. IC-IoT leads to keep a better performance of quality of services (QoS) parameters and then provide favorable conditions for IoT applications. After the evaluation of its performance, the proposed solution improves the QoS parameters for the IoT applications. We are interesting mainly to the rate of packets delivery, the network lifetime and the evolution of the consumed energy.
Unemployment Fluctuations with Staggered Nash Wage Bargaining

A number of authors have argued that the conventional model of unemployment dynamics due to Mortensen and Pissarides has difficulty accounting for the relatively volatile behavior of labor market activity over the business cycle. We address this issue by modifying the Mortensen‐Pissarides framework to allow for staggered multiperiod wage contracting. What emerges is a tractable relation for wage dynamics that is a natural generalization of the period‐by‐period Nash bargaining outcome in the conventional formulation. We then show that a reasonable calibration of the model can account for the cyclical behavior of wages and labor market activity observed in the data.
Meal Microstructure Characterization from Sensor-Based Food Intake Detection

To avoid the pitfalls of self-reported dietary intake, wearable sensors can be used. Many food ingestion sensors offer the ability to automatically detect food intake using time resolutions that range from 23 ms to 8 min. There is no defined standard time resolution to accurately measure ingestive behavior or a meal microstructure. This paper aims to estimate the time resolution needed to accurately represent the microstructure of meals such as duration of eating episode, the duration of actual ingestion, and number of eating events. Twelve participants wore the automatic ingestion monitor (AIM) and kept a standard diet diary to report their food intake in free-living conditions for 24 h. As a reference, participants were also asked to mark food intake with a push button sampled every 0.1 s. The duration of eating episodes, duration of ingestion, and number of eating events were computed from the food diary, AIM, and the push button resampled at different time resolutions (0.1–30s). ANOVA and multiple comparison tests showed that the duration of eating episodes estimated from the diary differed significantly from that estimated by the AIM and the push button (p-value <0.001). There were no significant differences in the number of eating events for push button resolutions of 0.1, 1, and 5 s, but there were significant differences in resolutions of 10–30s (p-value <0.05). The results suggest that the desired time resolution of sensor-based food intake detection should be ≤5 s to accurately detect meal microstructure. Furthermore, the AIM provides more accurate measurement of the eating episode duration than the diet diary.
Where are the men?

A full-size ^-element (IbofM3) was isolated from a genomic library of Drosophila bifasciata. The sequence has a length of 2935 bp and is flanked by 8 bp duplications of the target site. The termini are formed by 311 bp inverted repeats. The four exams have intact reading frames and possess the coding capacity for a protein of 753 amino acids and a molecular weight of 86.4 kd. The sections of the D. melanogaster transposase presumed to be functionally important (three Deucine zippers and a helix turn helix motif) are conserved in the D. bifasciata F-element. Copy number and genomic distribution resemble the situation in true P-straons of D. melanogaster. Both findings support the idea that IbofM3 represents an active transposon. The sequence comparison between the P-elements of D.
Physical-Layer Security of a Buffer-Aided Full-Duplex Relaying System

This letter proposes a novel hybrid half-duplex (HD)/full-duplex (FD) relaying scheme to enhance the relay channel security. A source node (Alice) communicates with her destination node (Bob) in the presence of a buffer-aided FD relay node (Rooney) and a potential eavesdropper (Eve). Rooney adopts two different relaying strategies, namely, randomize-and-forward and decode-and-forward relaying, to improve the security of the legitimate system. In the first relaying strategy, Rooney uses a codebook different from that used at Alice. In the second relaying strategy, Rooney and Alice use the same codebooks. In addition, Rooney switches between the HD and FD modes to further enhance the security of the legitimate system. The numerical results demonstrate that our proposed scheme achieves a significant average secrecy end-to-end throughput improvement relative to the conventional bufferless FD relaying scheme.
Gender-related differences in self-reported dental care in adults with congenital heart disease at increased risk of infective endocarditis

Objective Adults with congenital heart disease (CHD) are at increased risk of infective endocarditis (IE). Women with CHD have a lower IE risk, potentially due to gender-related differences in dental care. We aimed to assess self-reported dental hygiene measures in adults with CHD, and to identify factors associated with good oral hygiene. Methods and results Descriptive study includes 187 adults with CHD at increased risk of IE. The patients’ IE knowledge was assessed using an adapted version of the Leuven Knowledge Questionnaire for CHD. Their mean age was 34.9±14.9 years, 73 of them (39%) were women, 91 (49%) were at high risk for IE, including 66 (35%) with a prosthetic valve, 14 (7%) with a history of IE and 11 (6%) with cyanotic CHD or residual shunts/valvular regurgitation in the proximity of prosthetic material. The self-defined IE knowledge score did not differ between men and women (21.6±10.0 vs 23.4±10.0; p=0.225). 126 patients (67%) reported to have a good oral hygiene. Female gender (OR 2.4, 95% CI 1.1 to 4.4), and a higher IE knowledge score (OR 1.2, 95% CI 1.1 to 1.5, per 5 points) were the variables independently associated with good oral hygiene. Conclusions In adults with CHD, patients with a higher IE knowledge score and women are more likely to practise dental care as recommended. Gender differences in oral hygiene practise may explain the observed lower female IE incidence rate. Efforts to improve patients’ knowledge on IE are encouraged.
Real-Time Simulation of Three-Dimensional Shoulder Girdle and Arm Dynamics

Electrical stimulation is a promising technology for the restoration of arm function in paralyzed individuals. Control of the paralyzed arm under electrical stimulation, however, is a challenging problem that requires advanced controllers and command interfaces for the user. A real-time model describing the complex dynamics of the arm would allow user-in-the-loop type experiments where the command interface and controller could be assessed. Real-time models of the arm previously described have not included the ability to model the independently controlled scapula and clavicle, limiting their utility for clinical applications of this nature. The goal of this study therefore was to evaluate the performance and mechanical behavior of a real-time, dynamic model of the arm and shoulder girdle. The model comprises seven segments linked by eleven degrees of freedom and actuated by 138 muscle elements. Polynomials were generated to describe the muscle lines of action to reduce computation time, and an implicit, first-order Rosenbrock formulation of the equations of motion was used to increase simulation step-size. The model simulated flexion of the arm faster than real time, simulation time being 92% of actual movement time on standard desktop hardware. Modeled maximum isometric torque values agreed well with values from the literature, showing that the model simulates the moment-generating behavior of a real human arm. The speed of the model enables experiments where the user controls the virtual arm and receives visual feedback in real time. The ability to optimize potential solutions in simulation greatly reduces the burden on the user during development.
On the limits of non-approximability of lattice problems

Wo show simple constantround interactive proof systems for pcoblcms capturing the appcoximabiity, to within a factor of &, of optimization problems in integer lattices; specifically, the closest vector problem (CVP), and the shortest vector pcoblom @VP), These interactive proofs are for the “coNP direction”; that is, we give an interactive protocol showing that a vector is “far” from the lattice (for CVP), and an interactive protocol showing that the shortest-lattice-vector la Ulong” (for SVP). Furthermore, these interactive proof systems ace Honest-Verifier Perfect Zero-Knowledge. We conclude that approximating CVP (resp., SVP) within a factor of fi is in NP n codM. Thus, it seems unlikely that approximating these problems to within a fi factor is NP-hard, Pccviously, for the CVP (resp., SVP) problem, La&arias et, ol,, H&tad and Banaszczyk showed that the gap problem corresponding to approximating CVP (resp., SVP) within n is in NP n con/p. On the other hand, Arora et. al. showed that the gap problem corresponding to approximating CVP within 2’0so*ooo n is quasi-NP-hard.
High-level synthesis of multi-process behavioral descriptions

This paper presents a new high-level synthesis methodology to generate optimized implementations for multi-process behavioral descriptions. The concurrent communicating processes specification paradigm is widely used in digital circuit and system design, and is employed in all popular hardware description languages. It has been shown that inter-process communication and synchronization can result in complex timing inter-dependencies, which significantly affect the performance of a multi-process system. In this paper, we demonstrate that state-of-the-art high-level synthesis tools can generate significantly sub-optimal implementations for behaviors that contain concurrent communicating processes. We present an analysis of how inter-process communication impacts high-level synthesis steps, and describe a new methodology to adapt existing high-level synthesis tools to optimize multi-process descriptions.
Realizing Bone-mass Generation Through a Density Type Theoretical Archetype

The dynamic process of the formation of bone-mass in case of humans is studied to gather precise understanding about the same with the motivation of applying these concepts for healing of bone-fracture and non-unions in non-invasive manner. Three cellular ingredients, osteoblasts, osteoclasts and osteocytes are predominant players in generating new bone-mass in which a host of hormones, proteins and minerals have potential supportive role. Considering population density of these three biological cells osteoblasts, osteoclasts and osteocytes as variables, we formulate a theoretical model, in the form of a set of time differential equations in order to emulate the dynamic process of bone-mass creation. High relative abundance of osteocytes at asymptotic scale together with moderate level values of osteoblasts and osteoclasts cell populations signifies formation of bone-matter in our theoretical archetype. The archetype has been studied through both analytical and numerical channels, significant results are emphasized and relevant conclusions are drawn. Certain predictive statements are also made which could be put to future in-vivo clinical test or in-vitro physiological experimentation as well.
The Quantity and Quality of African Children's IgG Responses to Merozoite Surface Antigens Reflect Protection against Plasmodium falciparum Malaria

Background Antibodies, particularly cytophilic IgG subclasses, with specificity for asexual blood stage antigens of Plasmodium falciparum, are thought to play an important role in acquired immunity to malaria. Evaluating such responses in longitudinal sero-epidemiological field studies, allied to increasing knowledge of the immunological mechanisms associated with anti-malarial protection, will help in the development of malaria vaccines. Methods and Findings We conducted a 1-year follow-up study of 305 Senegalese children and identified those resistant or susceptible to malaria. In retrospective analyses we then compared post-follow-up IgG responses to six asexual-stage candidate malaria vaccine antigens in groups of individuals with clearly defined clinical and parasitological histories of infection with P. falciparum. In age-adjusted analyses, children resistant to malaria as well as to high-density parasitemia, had significantly higher IgG1 responses to GLURP and IgG3 responses to MSP2 than their susceptible counterparts. Among those resistant to malaria, high anti-MSP1 IgG1 levels were associated with protection against high-density parasitemia. To assess functional attributes, we used an in vitro parasite growth inhibition assay with purified IgG. Samples from individuals with high levels of IgG directed to MSP1, MSP2 and AMA1 gave the strongest parasite growth inhibition, but a marked age-related decline was observed in these effects. Conclusion Our data are consistent with the idea that protection against P. falciparum malaria in children depends on acquisition of a constellation of appropriate, functionally active IgG subclass responses directed to multiple asexual stage antigens. Our results suggest at least two distinct mechanisms via which antibodies may exert protective effects. Although declining with age, the growth inhibitory effects of purified IgG measurable in vitro reflected levels of anti-AMA1, -MSP1 and -MSP2, but not of anti-GLURP IgG. The latter could act on parasite growth via indirect parasiticidal pathways.
Decentralized Path Planning for Multiple Agents in Complex Environments using Rapidly-exploring Random Trees

This thesis presents a novel approach to address the challenge of planning paths for real-world multi-agent systems operating in complex environments. The technique developed, the Decentralized Multi-Agent Rapidly-exploring Random Tree (DMARRT) algorithm, is an extension of the CL-RRT algorithm to the multi-agent case, retaining its ability to plan quickly even with complex constraints. Moreover, a merit-based token passing coordination strategy is also presented as a core component of the DMA-RRT algorithm. This coordination strategy makes use of the tree of feasible trajectories grown in the CL-RRT algorithm to dynamically update the order in which agents plan. This reordering is based on a measure of each agent’s incentive to replan and allows agents with a greater incentive to plan sooner, thus reducing the global cost and improving the team’s overall performance. An extended version of the algorithm, Cooperative DMA-RRT, is also presented to introduce cooperation between agents during the path selection process. The paths generated are proven to satisfy inter-agent constraints, such as collision avoidance, and a set of simulation and experimental results verify the algorithm’s performance. A small scale rover is also presented as part of a practical test platform for the DMA-RRT algorithm. Thesis Supervisor: Jonathan P. How Title: Richard C. Maclaurin Professor of Aeronautics and Astronautics
Acquiring Co-evolution Mechanisms in Organizational-Learning Oriented Classifier System

Organizational-learning oriented Classifier System (OCS) is an extension of Learning Classifier Systems (LCSs) to multiagent environments with introducing the concepts of organizational learning (OL) in organization and management sciences. In this paper, to apply OCS to Computational Organization Studies, we develop a novel agent-based social simulation system. The simulater is applied to “Ecological Marketing”, which reveals interesting agent behaviors on the domain.
Reactive Async: expressive deterministic concurrency

Concurrent programming is infamous for its difficulty. An important source of difficulty is non-determinism, stemming from unpredictable interleavings of concurrent activities. Futures and promises are widely-used abstractions that help designing deterministic concurrent programs, although this property cannot be guaranteed statically in mainstream programming languages. Deterministic-by-construction concurrent programming models avoid this issue, but they typically restrict expressiveness in important ways. This paper introduces a concurrent programming model, Reactive Async, which decouples concurrent computations using so-called cells, shared locations which generalize futures as well as recent deterministic abstractions such as LVars. Compared to previously proposed programming models Reactive Async provides (a) a fallback mechanism for the case where no computation ever computes the value of a given cell, and (b) explicit and optimized handling of cyclic dependencies. We present a complete implementation of the Reactive Async programming model as a library in Scala. Finally, the paper reports on a case study applying Reactive Async to static analyses of JVM bytecode based on the Opal framework.
The Exacerbation of Hippocampal Excitotoxicity by Glucocorticoids Is Not Mediated by Apoptosis

Both endogenous and exogenous glucocorticoids (GCs) are known to cause apoptosis in a number of peripheral tissues and in some cases in the CNS. Additionally, GCs can exacerbate the neuron loss associated with such acute neurological insults as hypoxia-ischemia, excitotoxicity, and metabolic disruption. This exacerbation is accompanied by increased accumulation of glutamate in the synapse, excessive cytosolic calcium, and increased oxygen radical activity, markers usually attributed to pathways of necrotic cell death. It is also known that acute insults can involve apoptotic mediators. In this context, one outstanding question that has received little attention is whether the exacerbation of insult-mediated cell death in neurons is apoptotic in mechanism. In this study we investigate whether the GC-mediated exacerbation of hippocampal excitotoxicity in culture involves apoptosis. Specifically, we show that while the magnitude of hippocampal neuron death caused by the excitotoxin kainic acid is indeed worsened in the presence of GCs, there is no evidence of increased markers of apoptosis. Specifically, we show that neither kainic acid nor GCs alone, or in combination, cause activation of caspase 3, a critical executor of insult-induced apoptosis. Furthermore, while kainic acid causes a significant incidence of apoptotic nuclear condensation, the incidence of this morphological indicator of apoptosis is not worsened by GCs. Thus, GCs appear to augment excitotoxic death in hippocampal neurons without augmenting the occurrence of apoptosis. We suggest that this finding is to be expected, given some energetic features of GC action and the energetic demands of apoptosis.
Photoelectrothermal model predictive control for Light Emitting Diodes

Light Emitting Diodes (LEDs) are one of the most promising technology for the future of lighting. The flexibility required by the dimming regulation introduces different and sometimes conflicting objectives which make challenging the control design. In this paper, a photoelectrothermal model of LED integrated with the dynamics of the power converter is presented. The model is used to design a model predictive control which allows the regulation of current, temperatures and luminous flux by satisfying the typical constraints on the control variable and on thermal and electrical state variables. The effectiveness of the proposed controller is verified though simulations by using a LED model whose parameters are tuned from commercial datasheets.
MEG Source Localization Using Invariance of Noise Space

We propose INvariance of Noise (INN) space as a novel method for source localization of magnetoencephalography (MEG) data. The method is based on the fact that modulations of source strengths across time change the energy in signal subspace but leave the noise subspace invariant. We compare INN with classical MUSIC, RAP-MUSIC, and beamformer approaches using simulated data while varying signal-to-noise ratios as well as distance and temporal correlation between two sources. We also demonstrate the utility of INN with actual auditory evoked MEG responses in eight subjects. In all cases, INN performed well, especially when the sources were closely spaced, highly correlated, or one source was considerably stronger than the other.
Design of an efficient memory-based DVB-T channel decoder

A highly efficient implementation of a channel decoder for the terrestrial digital video broadcast (DVB-T) standard is presented. The DVB-T channel decoder is mainly composed of four major modules which all require significant amounts of intermediate data storage. The main contribution of the paper is to propose a suitable architectural solution for each individual module to achieve efficient realization of the data storage mostly by single-port memory blocks. Our implementation result shows that the core area of the entire DVB-T channel decoder IP (intellectual property) can be realized in less than 8 mm/sup 2/ in 0.35-/spl mu/m TSMC technology.
Synthetic curved DNA sequences can act as transcriptional activators in Escherichia coli.

Can a transcriptional activator known to bend DNA be functionally replaced by a sequence‐directed bend in Escherichia coli? To investigate this question, a partially truncated promoter was used, deleted of its ‐35 region and of its CRP binding site, leaving only two Pribnow boxes as functional elements. Synthetic and naturally occurring curved DNA sequences introduced upstream from these elements could restore transcription at either one of the two natural starts. Some of these hybrid promoters turned out to be more efficient than the CRP activated wild‐type gal promoter in vivo. Control experiments performed with very similar sequences devoid of any curvature produced weak promoters only. Minimal changes in the location of the centre of curvature or perturbation in the amount of curvature strongly affected the level of expression. No significant stimulation of transcription could be detected in vitro. Furthermore, both gal P1 and P2 starts could be activated in vivo but also in vitro via a properly positioned CRP binding site. This partial analogy suggests that bending induced by the cAMP‐CRP complex upon binding to its site may be biologically relevant to the mechanism of transcriptional activation.