Miracle-dz/UniFAR-FTUs huggingface dataset:
Zn/MCM-41/MnO2 Leclanché Button Cell R2025 for Low Rate Applications

The present work reports the performance characteristics of Zn/MnO2 Leclanché cell employing an inorganic MCM-41 membrane separator. MCM-41 material comprises of one-dimensional, hexagonally ordered silicates mesostructure. The main advantage of MCM-41 membrane is its 3-in-1 functional features, viz. as ionic exchange channels, insulating layer between electrodes and electrolyte reservoir. Zn/MnO2 cell is constructed approximately to the size of R2025 coin cell. As the fabrication technique of MCM-41 membrane is merely by dip-coating process, it offers two advantages. First, the membrane could be prepared sufficiently thin and thus minimizing the internal losses of the cell. Second, it enables the construction of bipolar cell configuration with ease. Consequently, the results obtained demonstrate the volumetric energy density of Zn/MCM-41/MnO2 R2025 button cell has been extended by almost fivefold from 5.6 Wh/l to 26 Wh/l as bipolar cell configuration is utilized.
Peptides and pseudopeptides incorporating D‐Phe–Pro–Arg and Arg–Gly–Asp lead sequences as potential antithrombotic agents

Peptide leads D‐Phe–Pro–Arg for thrombin inhibition and Arg–Gly–Asp for antagonistic activity on fibrinogen receptor were combined in one molecule in order to produce compounds capable of acting both as thrombin inhibitors and as fibrinogen receptor antagonists. Peptide conjugate 7 possessing both leads joined by a tetraglycine linker as well as tripeptides and peptidomimetics with highly overlapped D‐Phe–Pro–Arg and Arg–Gly–Asp pharmacophore groups were prepared. Conjugate 7 was found to possess antagonistic activity on fibrinogen receptor, but was unexpectedly inactive as thrombin inhibitor. Compound 9 comprising of highly integrated D‐Phe–Pro–Arg and Arg–Gly–Asp pharmacophore groups was found to possess a moderate but well balanced thrombin inhibitory and fibrinogen receptor antagonistic activity. Copyright © 2008 European Peptide Society and John Wiley & Sons, Ltd.
Selective serotonin reuptake inhibitors and breast cancer mortality in women receiving tamoxifen: a population based cohort study

Objective To characterise whether some selective serotonin reuptake inhibitor (SSRI) antidepressants reduce tamoxifen’s effectiveness by inhibiting its bioactivation by cytochrome P450 2D6 (CYP2D6). Design Population based cohort study. Participants Women living in Ontario aged 66 years or older treated with tamoxifen for breast cancer between 1993 and 2005 who had overlapping treatment with a single SSRI. Main outcome measures Risk of death from breast cancer after completion of tamoxifen treatment, as a function of the proportion of time on tamoxifen during which each SSRI had been co-prescribed. Results Of 2430 women treated with tamoxifen and a single SSRI, 374 (15.4%) died of breast cancer during follow-up (mean follow-up 2.38 years, SD 2.59). After adjustment for age, duration of tamoxifen treatment, and other potential confounders, absolute increases of 25%, 50%, and 75% in the proportion of time on tamoxifen with overlapping use of paroxetine (an irreversible inhibitor of CYP2D6) were associated with 24%, 54%, and 91% increases in the risk of death from breast cancer, respectively (P<0.05 for each comparison). By contrast, no such risk was seen with other antidepressants. We estimate that use of paroxetine for 41% of tamoxifen treatment (the median overlap in our sample) would result in one additional breast cancer death within five years of cessation of tamoxifen for every 19.7 (95% confidence interval 12.5 to 46.3) patients so treated; the risk with more extensive overlap would be greater. Conclusion Paroxetine use during tamoxifen treatment is associated with an increased risk of death from breast cancer, supporting the hypothesis that paroxetine can reduce or abolish the benefit of tamoxifen in women with breast cancer.
A FUZZY NEURAL NETWORK AND MULTIPLE KERNEL FUZZY C-MEANS ALGORITHM FOR SECURED INTRUSION DETECTION SYSTEM

An Intrusion Detection System (IDS) is a security layer used to detect constant intrusive behavior in information systems. Many intrusion detection systems have been proposed based on the various data mining approaches such as decision tree, clustering, etc. Although the intrusion detection system is efficient way to find the attacks in the system, existing ones have some disadvantages which affects the performance of the system. It is observed that Neural Networks improves the overall performance of the intrusion detection system when it is integrated with a clustering approach. This research work aims to improve the performance of the intrusion detection system through the application of Fuzzy Neural Network along with an efficient fuzzy clustering method. In this proposed approach, initially Multiple Kernel Fuzzy C-Means (MKFCM) technique is used to construct different training subsets. The performance of the fuzzy clustering approach is improved through MKFCM. Then, different FNN models are trained to formulate different base models according to the different training models. Then the final results are aggregated through fuzzy based approach. The performance of the proposed MKFCM-FNN approach is compared with other existing approaches.
Actionable Email Intent Modeling with Reparametrized RNNs

Emails in the workplace are often intentional calls to action for its recipients. We propose to annotate these emails for what action its recipient will take. We argue that our approach of action-based annotation is more scalable and theory-agnostic than traditional speech-act-based email intent annotation, while still carrying important semantic and pragmatic information. We show that our action-based annotation scheme achieves good inter-annotator agreement. We also show that we can leverage threaded messages from other domains, which exhibit comparable intents in their conversation, with domain adaptive RAINBOW (Recurrently AttentIve Neural Bag-Of-Words). On a collection of datasets consisting of IRC, Reddit, and email, our reparametrized RNNs outperform common multitask/multidomain approaches on several speech act related tasks. We also experiment with a minimally supervised scenario of email recipient action classification, and find the reparametrized RNNs learn a useful representation.
Impact of Biohybrid Magnetite Nanoparticles and Moroccan Propolis on Adherence of Methicillin Resistant Strains of Staphylococcus aureus

Biofilm bacteria are more resistant to antibiotics than planktonic cells. Propolis possesses antimicrobial activity. Generally, nanoparticles containing heavy metals possess antimicrobial and antibiofilm properties. In this study, the ability of adherence of Methicillin Resistant Strains of Staphylococcus aureus (MRSA) to catheters treated with magnetite nanoparticles (MNPs), produced by three methods and functionalized with oleic acid and a hydro-alcoholic extract of propolis from Morocco, was evaluated. The chemical composition of propolis was established by gas chromatography mass spectrometry (GC-MS), and the fabricated nanostructures characterized by X-ray diffraction (XRD), transmission electron microscopy (TEM), Mossbauer spectroscopy and Fourrier transform infrared spectroscopy (FTIR). The capacity for impairing biofilm formation was dependent on the strain, as well as on the mode of production of MNPs. The co-precipitation method of MNPs fabrication using Fe3+ and Na2SO3 solution and functionalized with oleic acid and propolis was the most effective in the impairment of adherence of all MRSA strains to catheters (p < 0.001). The adherence of the strain MRSA16 was also significantly lower (p < 0.001) when the catheters were treated with the hybrid MNPs with oleic acid produced by a hydrothermal method. The anti-MRSA observed can be attributed to the presence of benzyl caffeate, pinocembrin, galangin, and isocupressic acid in propolis extract, along with MNPs. However, for MRSA16, the impairment of its adherence on catheters may only be attributed to the hybrid MNPs with oleic acid, since very small amount, if any at all of propolis compounds were added to the MNPs.
Dynamic LMP response under alternative price-cap and price-sensitive demand scenarios

This study investigates the complicated nonlinear effects of demand-bid price sensitivity and supply-offer price caps on locational marginal prices (LMPs) for bulk electric power when profit-seeking generators can learn over time how to strategize their supply offers. Systematic computational experiments are conducted using AMES, an open-source agent-based test bed developed by the authors. AMES models a restructured wholesale power market operating through time over an AC transmission grid subject to line constraints, generation capacity constraints, and strategic trader behaviors.
An investigation of social loafing and social compensation in computer-supported cooperative work

The effects of computer-mediated communication on social loafing in brainstorming tasks and social compensation in decision-making tasks are examined. In the first experiment, subjects performed a brainstorming task in either nominal, face-to-face or computer-mediated brainstorming group conditions. Production blocking, in which brainstorming group members interfere with each other's output, was minimised, but the nominal group still out-performed the other groups. In the second experiment, subjects performed a group decision task in face-to-face and computer mediated communication conditions. Social compensation in the presence of social loafing was seen to occur in the first condition, but not in the second. The paper concludes by discussing some of the consequences of both experiments for the future role of computer-mediated communication in group work.
- 1-Genome-wide analysis identifies a functional association of Tet 1 and Polycomb PRC 2 in mouse embryonic stem cells

Genome-wide analysis identifies a functional association of Tet1 and Polycomb PRC2 in mouse embryonic stem cells Genome Biology 2013, 14:R91 doi:10.1186/gb-2013-14-8-r91 Francesco Neri (francesco.neri@hugef-torino.org) Danny Incarnato (danny.incarnato@hugef-torino.org) Anna Krepelova (anna.krepelova@hugef-torino.org) Stefania Rapelli (stefania.rapelli@hugef-torino.org) Andrea Pagnani (andrea.pagnani@hugef-torino.org) Riccardo Zecchina (riccardo.zecchina@hugef-torino.org) Caterina Parlato (caterina.parlato@hugef-torino.org) Salvatore Oliviero (oliviero.salva@gmail.com)
Development of broad‐spectrum human monoclonal antibodies for rabies post‐exposure prophylaxis

Currently available rabies post‐exposure prophylaxis (PEP) for use in humans includes equine or human rabies immunoglobulins (RIG). The replacement of RIG with an equally or more potent and safer product is strongly encouraged due to the high costs and limited availability of existing RIG. In this study, we identified two broadly neutralizing human monoclonal antibodies that represent a valid and affordable alternative to RIG in rabies PEP. Memory B cells from four selected vaccinated donors were immortalized and monoclonal antibodies were tested for neutralizing activity and epitope specificity. Two antibodies, identified as RVC20 and RVC58 (binding to antigenic site I and III, respectively), were selected for their potency and broad‐spectrum reactivity. In vitro, RVC20 and RVC58 were able to neutralize all 35 rabies virus (RABV) and 25 non‐RABV lyssaviruses. They showed higher potency and breath compared to antibodies under clinical development (namely CR57, CR4098, and RAB1) and commercially available human RIG. In vivo, the RVC20–RVC58 cocktail protected Syrian hamsters from a lethal RABV challenge and did not affect the endogenous hamster post‐vaccination antibody response.
Vibration attenuation analysis of compressional gas cushion press nanoimprint lithography system

Nanoimprint lithography has a great development in decades. Compressional gas cushion press is a novel method in improving the uniformity in nanoimprint lithography process. Based on compressional gas cushion press nanoimprint lithography system, an attenuation ring is added between the chamber wall and the pedestal. The attenuation ring decreases the influence of system vibration on the fidelity of patterning. The physical parameters of the attenuation material are optimized based on the theoretical models of the vibration attenuation and mechanical calculation. According to the optimization physical parameters, Young's modulus of a perfect material of attenuation ring should be smaller than 8 MPa, and Poisson's ratio should be close to 0.5. Therefore, natural rubber is employed as the material of attenuation ring. The simulation results based on COMSOL indicate that nested rectangular structure has the best attenuation effect among the four simulated internal structures. It provides technological supporting for the establishment of attenuation ring in compressional gas cushion press nanoimprint lithography system.
Lymphomatoid papulosis misdiagnosed as pityriasis lichenoides et varioliformis acuta: Two case reports and a literature review

The aim of this study was to improve the level of diagnosis and differential diagnosis of lymphomatoid papulosis (LyP). Two cases of type B LyP were identified and the literature was reviewed to summarize the clinical outcomes and pathology of LyP and its treatment. The two patients exhibited symptoms with papulonodular lesions, the centers of which gradually underwent ulceration and necrosis. CD30, a helper T-cell marker specifically expressed in tumor cells was analyzed by immunohistochemical staining and the result showed that CD30-negative or only scattered CD30-positive cells were present. Therefore, a diagnosis of type B LyP was made. A fairly good curative effect was achieved following treatment with retinoic acid, glucocorticoids and immunomodulatory drugs. LyP is a type of low-level malignant lymphoma and is easily misdiagnosed as pityriasis lichenoides et varioliformis acuta and other diseases. In order to avoid under diagnosis and misdiagnosis, doctors should evaluate suspected patients by histopathological and immunohistochemical examination.
Novel Antibacterial Activity of β2-Microglobulin in Human Amniotic Fluid

An antibacterial protein (about 12 kDa) was isolated from human amniotic fluid through dialysis, ultrafiltration and C18 reversed-phase HPLC steps. Automated Edman degradation showed that the N-terminal sequence of the antibacterial protein was NH2-Ile-Gln-Arg-Thr-Pro-Lys-Ile-Gln-Val-Tyr-Ser-Arg-His-Pro-Ala-Glu-Asn-Gly-. The N-terminal sequence of the antibacterial protein was found to be identical to that of β2-microglobulin, a component of MHC class I molecules, which are present on all nucleated cells. Matrix-assisted laser desorption ionization mass spectrometry (MALDI-MS) revealed that the molecular mass of the antibacterial protein was 11,631 Da. This antibacterial protein, β2M, possessed potent antibacterial activity against pathogenic bacteria. Specially, antibacterial activity was observed in potassium buffer, and potassium ion was found to be critical for the antibacterial activity. Interestingly, the antibacterial action of β2M was associated with dissipation of the transmembrane potential, but the protein did not cause damage to the membrane that would result in SYTOX green uptake. In addition, stimulation of WISH amniotic epithelial cells with the bacterial endotoxin lipopolysaccharide (LPS) induced dose-dependent upregulation of β2M mRNA expression. These results suggest that β2M contributes to a self-defense response when amniotic cells are exposed to pathogens.
Mechanical characterization of polyhydroxyalkanoate and poly(lactic acid) blends

In this work, the mechanical behavior of polyhyroxyalkanoate (PHA)/poly(lactic acid) (PLA) blends is investigated in a wide range of compositions. The mechanical properties can be optimized by varying the PHA contents of the blend. The flexural and tensile properties were estimated by different models: the rule of mixtures, Kerner–Uemura–Takayanagi (KUT) model, Nicolai–Narkis model and Béla–Pukánsky model. This study was aimed at investigating the adhesion between the two material phases. The results anticipate a good adhesion between both phases. Nevertheless, for low levels of incorporation of PHA (up to 30%), where PLA is expectantly the matrix, the experimental data seem to deviate from the perfect adhesion models, suggesting a decrease in the adhesion between both polymeric phases when PHA is the disperse phase. For the tensile modulus, a linear relationship is found, following the rules of mixtures (or a KUT model with perfect adhesion between phases) denoting a good adhesion between the phases over the composition range. The incorporation of PHA in the blend leads to a decrease in the flexural modulus but, at the same time, increases the tensile modulus. The impact energy of the blends varies more than 157% over the entire composition. For blends with PHA weight fraction lower than 50%, the impact strength of the blend is higher than the pure base polymers. The highest synergetic effect is found when the PLA is the matrix and the PHA is the disperse phase for the blend PHA/PLA of 30/70. The second maximum is found for the inverse composition of 70/30. PLA has a heat-deflection temperature (HDT) substantially lower than PHA. For the blends, the HDT increases with the increment in the percentage of the incorporation of PHA. With up to 50% PHA (PLA as matrix), the HDT is practically constant and equal to PLA value. Above this point (PHA matrix), the HDT of the polymer blends increases linearly with the percentage of addition of PHA.
Virtual 16 Bit Precise Operations on RGBA8 Textures

There is a growing demand for high precision texture formats fed by the increasing number of textures per pixel and multi-pass algorithms in dynamic texturing and visualization. Therefore support for wider data formats in graphics hardware is evolving. The existing functionality of current graphics cards, however, can already be used to provide higher precision textures. This paper shows how to emulate a 16 bit precise signed format by use of RGBA8 textures and existing shader and register operations. Thereby a 16 bit number is stored in two unsigned 8 bit color channels. The focus lies on a 16 bit signed number format which generalizes existing 8 bit formats allowing lossless format expansions, and which has an exact representation of 1, 0 and allowing stable long-lasting dynamic texture updates. Implementations of basic arithmetic operations and dependent texture loop-ups in this format are presented and example algorithms dealing with 16 bit precise dynamic updates of displacement maps, normal textures and filters demonstrate some of the resulting application areas.
MEMS Based Pedestrian Navigation System

In this paper we present a micro-electrical mechanical system (MEMS) based pedestrian navigation system (PNS) for seamless positioning. The sub-algorithms for the PNS are developed and the positioning performance is enhanced using the modified receding horizon Kalman finite impulse response filter (MRHKF). The PNS consists of a biaxial accelerometer and a biaxial magnetic compass mounted on a shoe. The PNS detects a step using a novel technique during the stance phase and simultaneously calculates walking information. Step length is estimated using a neural network whose inputs are the walking information. The azimuth is calculated using the magnetic compass, the walking information and the tilt compensation algorithm. Using the proposed sub-algorithms, seamless positioning can be accomplished. However, the magnetic compass based azimuth may have an error that varies according to the surrounding magnetic field. In this paper, the varying error is compensated using the MRHKF filter. Finally, the performance enhanced seamless positioning is achieved, and the performance is verified by experiment.
Noncoherent Amplify-and-Forward Cooperative Networks: Robust Detection and Performance Analysis

We develop closed-form generalized likelihood ratio test (GLRT) sequence detectors for multi-relay amplify-and-forward (AF) cooperative networks employing M-ary differential phase-shift keying (M-DPSK) and noncoherent M-ary frequency-shift keying (M-FSK). The proposed detectors achieve robust performance in a wide range of fading environments where prior knowledge of channels, signal powers, noise variances, and relay functionalities is unavailable to the destination. A comprehensive error probability performance analysis is carried out in Rayleigh fading. Specifically, we derive unified pairwise error probability (PEP) expressions for both detectors in a dual-hop network, which are valid for arbitrary modulation order M and arbitrary sequence length Ns. We also derive unified bit-error probability (BEP) expressions for both detectors employing binary signalings in various networks for Ns = 1. It is further shown that both detectors achieve near full diversity orders. Finally, the superiorities of the proposed detectors over the state-of-the-art noncoherent detectors are justified through extensive comparisons in practical scenarios. For example, in a multi-relay network where the relays are uniformly distributed between the source and destination, the proposed detector for noncoherent FSK with Ns = 1 outperforms the well-known maximum energy selector by almost 15 dB in high signal-to-noise ratios.
Phenomenological and semi-phenomenological models of nano-particles freezing

Studies of nucleation in freezing nanoparticles usually assume that the embryo of the solid phase is completely wet by the liquid and forms in the core of the droplet. However, recent experiments and computer simulations have suggested that some nanoparticles start nucleating at the liquidvapor interface of the drop in a pseudoheterogeneous process. The goal of the present work is to propose phenomenological models suitable for the study of surface nucleation in nanoparticle systems that can be used to understand the contributions of the various surface phenomena, such as surface and line tensions, to the nucleation barrier. The nucleation barrier for the freezing of a 276 atom gold cluster is calculated using Monte Carlo simulation techniques while previous simulation studies of a 456 atom gold cluster are extended in order to find the probability that the embryo forms in the surface or core of the nanoparticle. These calculations confirm that the crystal embryo forms at the liquid-vapor interface. Geometric studies measuring the liquid-solid and solid-vapor surface areas of the embryo suggest that it changes shape as it becomes larger and grows in towards the core of the droplet. Three phenomenological models that are based on the capillarity approximation and can account for surface nucleation are proposed. These models highlight the importance of accounting for the surface curvature contributions related to the Tolman length and the presence of the three phase contact line in calculating the nucleation free energy barrier. In some cases, the models are able to reproduce the qualitative properties of the free energy barriers obtain from simulation but numerical fits of the models generally result in estimates of the solid-liquid surface tension that are lower than the values expected on the basis of partial wetting in the bulk. Finally, a semi-phenomenological model approach to nucleation is proposed where the usual phenomenological expression for the free energy barrier is retained, but where the geometric prefactors are obtained from molecular simulation of the embryo. This method is applied to nucleation in the gold cluster and to the freezing of a bulk Lennard-Jones liquid.
Performance of 1-10-GHz traveling wave amplifiers in 0.18-μm CMOS

The authors present two four-stage traveling-wave amplifiers (TWA) fabricated in a 0.18-/spl mu/m CMOS process. A TWA with an internal drain bias network achieved a gain of 5 dB out to 10 GHz, and another TWA without an on-chip bias network achieved a gain of 8 dB out to 10 GHz. These are the highest frequency CMOS TWAs known to the authors.