Miracle-dz/UniFAR-FTUs huggingface dataset:
Porous silica spheres in macroporous structures and on nanofibres

Porous nanospheres have a wide range of applications such as in catalysis, separation and controlled delivery. Among these nanospheres, syntheses and applications of porous silica nanospheres have been investigated extensively. Uniform porous silica nanospheres can be synthesized using a modified Stöber method. In the present study, porous silica spheres were prepared in the pre-formed emulsion-templated porous polyacrylamide (PAM). A hierarchical hybrid structure of mesoporous silica spheres was formed in the highly interconnected macroporous polymer. The polymer scaffold could be removed by calcination with porous silica spheres and the macroporous structures retained. This resulted from the close packing or aggregation of small silica nanospheres in the pores and on the surface of pores of PAM. The modified Stöber synthesis was further carried out in pre-formed polymer nanofibres (chitosan and sodium carboxymethyl cellulose). The structure of porous silica spheres on nanofibres was produced in the presence of the polymer or composite fibres. The corresponding inorganic structures were successfully obtained after calcination. The hierarchical structures of porous nanospheres within macroporous structures or on nanofibres are of potential interest to researchers in nanomaterials, porous polymers, supported catalysis and controlled delivery.
ECNU: Extracting Effective Features from Multiple Sequential Sentences for Target-dependent Sentiment Analysis in Reviews

This paper describes our systems submitted to the target-dependent sentiment polarity classification subtask in aspect based sentiment analysis (ABSA) task (i.e., Task 12) in SemEval 2015. To settle this problem, we extracted several effective features from three sequential sentences, including sentiment lexicon, linguistic and domain specific features. Then we employed these features to construct classifiers using supervised classification algorithm. In laptop domain, our systems ranked 2nd out of 6 constrained submissions and 2nd out of 7 unconstrained submissions. In restaurant domain, the rankings are 5th out of 6 and 2nd out of 8 respectively.
Case Finding of Mild Cognitive Impairment and Dementia and Subsequent Care; Results of a Cluster RCT in Primary Care

Purpose Despite a call for earlier diagnosis of dementia, the diagnostic yield of case finding and its impact on the mental health of patients and relatives are unclear. This study assessed the effect of a two-component intervention of case finding and subsequent care on these outcomes. Methods In a cluster RCT we assessed whether education of family physicians (FPs; trial stage 1) resulted in more mild cognitive impairment (MCI) and dementia diagnoses among older persons in whom FPs suspected cognitive decline and whether case finding by a practice nurse and the FP (trial stage 2) added to this number of diagnoses. In addition, we assessed mental health effects of case finding and subsequent care (trial stage 2). FPs of 15 primary care practices (PCPs = clusters) judged the cognitive status of all persons ≥ 65 years. The primary outcome, new MCI and dementia diagnoses by FPs after 12 months as indicated on a list, was assessed among all persons in whom FPs suspected cognitive impairment but without a formal diagnosis of dementia. The secondary outcome, mental health of patients and their relatives, was assessed among persons consenting to participate in trial stage 2. Trial stage 1 consisted of either intervention component 1: training FPs to diagnose MCI and dementia, or control: no training. Trial stage 2 consisted of either intervention component 2: case finding of MCI and dementia and care by a trained nurse and the FP, or control: care as usual. Results Seven PCPs were randomized to the intervention; eight to the control condition. MCI or dementia was diagnosed in 42.3% (138/326) of persons in the intervention, and in 30.5% (98/321) in the control group (estimated difference GEE: 10.8%, OR: 1.51, 95%-CI 0.60–3.76). Among patients and relatives who consented to stage 2 of the trial (n = 145; 25%), there were no differences in mental health between the intervention and control group. Conclusions We found a non-significant increase in the number of new MCI diagnoses. As we cannot exclude a clinically relevant effect, a larger study is warranted to replicate ours. Trial Registration Nederlands Trial Register NTR3389
Developmental Changes in Hemodynamic Responses and Cardiovagal Modulation during Isometric Handgrip Exercise

The purpose of this study was to examine differences in pressor response and cardiovagal modulation during isometric handgrip exercise (IHG) between children and adults. Beat-to-beat heart rate (HR) and blood pressure were measured in 23 prepubertal children and 23 adults at baseline and during IHG. Cardiovagal modulation was quantified by analysis of HR variability. Mean arterial pressure responses to IHG were greater in adults compared to children (P < .05) whereas there were no group differences in HR responses (P > .05). Children had a greater reduction in cardiovagal modulation in response to IHG compared to adults (P < .05). Changes in mean arterial pressure during IHG were correlated with baseline cardiovagal modulation and force produced during isometric contraction (P < .05). In conclusion, differences in pressor reflex response between children and adults cannot be solely explained by differences in autonomic modulation and appear to be associated with factors contributing to the force produced during isometric contraction.
Diffusion Adaptation over Multi-Agent Networks with Wireless Link Impairments

We study the performance of diffusion least-mean squares algorithms for distributed parameter estimation in multi-agent networks when nodes exchange information over wireless communication links. Wireless channel impairments, such as fading and path-loss, adversely affect the exchanged data and cause instability and performance degradation if left unattended. To mitigate these effects, we incorporate equalization coefficients into the diffusion combination step and update the combination weights dynamically in the face of randomly changing neighborhoods due to fading conditions. When channel state information (CSI) is unavailable, we determine the equalization factors from pilot-aided channel coefficient estimates. The analysis reveals that by properly monitoring the CSI over the network and choosing sufficiently small adaptation step-sizes, the diffusion strategies are able to deliver satisfactory performance in the presence of fading and path loss.
Genome Sequence of Bacteriophage GG32, Which Can Infect both Salmonella enterica Serovar Typhimurium and Escherichia coli O157:H7

ABSTRACT We report here a new virulent Salmonella enterica serovar Typhimurium (S. Typhimurium) bacteriophage, GG32, which was isolated from the Guem River in the Republic of Korea. The strain can infect both S. Typhimurium and Escherichia coli (E. coli) O157:H7 and may be a good candidate for a bio-control agent.
Capacity of Continuous-Space Electromagnetic Channels With Lossy Transceivers

In this paper, the capacity of continuous-space electromagnetic channels is analyzed. We assume the regions confining the transceivers are filled with dielectric that is either lossy or lossless and show how the capacity is affected by the physical loss of the source region. Our analysis is based on calculation of exact power consumption in the presence of mutual coupling and accurate modeling of noise based on fluctuation-dissipation theorem. We also analytically derive the Q factor and show how the capacity is affected by the bandwidth constraint. Finally, we compare our work with the existing literature and analyze the maximum gain of spherical dielectric antennas in practical applications.
Normal magnetic resonance imaging and epilepsy surgery

Two broad principles should be followed when assessing patients for epilepsy surgery. Firstly, the evaluation requires a multidisciplinary team and secondly, patients should be offered surgery whenever possible on the basis of congruence of non-invasive tests. One of the difficulties that arises, however, is that patients with a definite history of intractable focal epilepsy may have either non-localising or non-congruent investigations. If this occurs then such discrepancies should be resolved by intracranial EEG. Scott et al (this volume, pp 69–71) report their experience with an important group in which high resolution MRI was normal. This occurred in 20% of their patients but may be much more …
Digital Communications Learning Tools gtTAL: Graphical Tool for Testbed-assisted Learning

We introduce gtTAL, a graphical tool implemented on top of a distributed multilayer architecture which is specifically suitable for multiple-antenna hardware testbeds. gtTAL helps in teaching digital communications by allowing interaction with the hardware testbed at an abstraction level suitable for undergraduate students. Instead of using the low-level interfaces provided by hardware manufacturers, the multilayer software architecture supplies a high level interface access for testbeds, releasing students from the necessity of knowing low-level details of the hardware to start to practice with it. Therefore, they can easily test algorithms without developing a new program from scratch, speeding up the time needed for both the implementation and the debugging tasks. Indeed, the multilayer software architecture allows learning how to deal with real-world digital communication systems at different abstraction levels, varying from the lowest level software running in real-time in DSPs or FPGAs, to the highest level software like gtTAL. These three elements: hardware testbed, multilayer software architecture and graphical tool (gtTAL), constitutes what we termed testbed-assisted learn-
Fast methods to compute the Riemann zeta function

The Riemann zeta function on the critical line can be computed using a straightforward application of the Riemann-Siegel formula, Schonhage's method, or Heath-Brown's method. The complexities of these methods have exponents 1/2, 3/8, and 1/3 respectively. In this article, three new fast and potentially practical methods to compute zeta are presented. One method is very simple. Its complexity has exponent 2/5. A second method relies on this author's algorithm to compute quadratic exponential sums. Its complexity has exponent 1/3. The third method, which is our main result, employs an algorithm developed here to compute cubic exponential sums with a small cubic coecient. Its complexity has exponent 4/13 (approximately, 0.307).
Modelling Events through Memory-based, Open-IE Patterns for Abstractive Summarization

Abstractive text summarization of news requires a way of representing events, such as a collection of pattern clusters in which every cluster represents an event (e.g., marriage) and every pattern in the clus- ter is a way of expressing the event (e.g., X married Y, X and Y tied the knot). We compare three ways of extracting event patterns: heuristics-based, compression- based and memory-based. While the for- mer has been used previously in multi- document abstraction, the latter two have never been used for this task. Compared with the first two techniques, the memory- based method allows for generating sig- nificantly more grammatical and informa- tive sentences, at the cost of searching a vast space of hundreds of millions of parse trees of known grammatical utterances. To this end, we introduce a data structure and a search method that make it possible to efficiently extrapolate from every sentence the parse sub-trees that match against any of the stored utterances.
Generation of a human immunodeficiency virus type 1 chronically infected monkey B cell line expressing low levels of endogenous TRIM5α

Several innate cellular antiviral factors exist in mammalian cells that prevent the replication of retroviruses. Among them, the tripartite motif protein (TRIM)5α has been shown to block human immunodeficiency virus type 1 (HIV‐1) infection in several types of Old World monkey cells. Here we report a novel HIV‐1 chronically infected monkey B cell line, F6/HIV‐1, characterized by very low levels of TRIM5α expression that allows HIV‐1 to overcome the restriction. Virus produced by F6/HIV‐1 cells fails to infect monkey cells but retains the ability to infect human peripheral blood mononuclear cells (PBMCs) and T cell lines, although with a reduced infectivity compared to the input virus. Ultrastructural analyses revealed the presence of budding virions at the F6/HIV‐1 cells plasma membrane characterized by a typical conical core shell. To our knowledge F6/HIV‐1 is the first monkey cell line chronically infected by HIV‐1 and able to release infectious particles thus representing a useful tool to gain further insights into the molecular mechanisms of HIV‐1 pathogenesis. J. Cell. Physiol. 221: 760–765, 2009. © 2009 Wiley‐Liss, Inc.
The Distributed Control Framework: A software infrastructure for agent-based distributed control and robotics

We address the shortage of available software frameworks for distributed control systems/robotics and describe a novel agent-based software architecture simplifying the development, testing, and deployment of distributed controllers. Our distributed control framework (DCF) provides extensive support for robot team coordination and management, a pluggable architecture for sensing and estimation, robust simulation capabilities with support for hardware in the loop, and a high- level platform-independent programming language for hybrid control called MDLe (motion description language extended). We highlight two experiments that showcase the DCF and MDLe using real robots, and we conclude the paper with the derivation and discussion of an indoor robot navigation system used in our experiments. The navigation system combines robot odometry and range measurements from a network of Cricketreg sensors using an extended Kalman filter.
Gossiping for threshold detection

We investigate the use of gossip protocols to detect threshold crossings of network-wide aggregates. Aggregates are computed from local device variables using functions such as SUM, AVERAGE, COUNT, MAX and MIN. The process of aggregation and detection is performed using a standard gossiping scheme. A key design element is to let nodes dynamically adjust their neighbor interaction rates according to the distance between the nodes' local estimate of the global aggregate and the threshold itself. We show that this allows considerable savings in communication overhead. In particular, the overhead becomes negligible when the aggregate is sufficiently far above or far below the threshold. We present evaluation results from simulation studies regarding protocol efficiency, quality of threshold detection, scalability, and controllability.
Combining Additive Manufacturing and Direct Write for Integrated Electronics –

Direct write (DW) of conductive materials in the context of Additive Manufacturing (AM) enables embedded electronics within fabricated parts. Previous works use manual, hybrid, and native material patterning systems to deposit conductive materials in parts fabricated by different AM technologies. This capability could eliminate cabled interconnects and redundant electronics packaging, resulting in a significant reduction of mass and assembly complexity. In this paper, the authors explore applications of DW of conductive traces in the context of AM, review prior work in the integration, and analyze the technical roadblocks facing their hybridization. Barriers to integrating the two technology classes include material, process, and post-process compatibilities.
Estimation of the Solar Power Tower Heliostat Position using Neural Network

alignment and control of heliostats have been one of most issues in solar tower power. In this paper, we review our work to estimate the alignment of solar tower heliostat field based on the combination of two control systems (open loop and closed loop system) using a neural network approach. Several factors influence the path of each heliostat such as the azimuth, the elevation time, the date, the position of the sun, the plant location, the height of the tower and the heliostat size and slope. Firstly, we have modeled the heliostat position using astronomical formulas. Secondly, the neural network model is trained using data from January of three heliostats for both paths. Then, it was tested with another heliostat position for the month of March. The accuracy of the model was evaluated using the mean absolute error (MAE) and absolute percentage error (MAPE). The simulation results show the accuracy of the proposed for estimating the heliostat position without detecting the position of the sun.
Hybrid Intrusion Detection System: Technology and Development

In current scenario most of the intrusion detection systems (IDS) use one of the two detection methods, misused detection or Anomaly detection,both of them have their own limitations. Technology has developed the technique that combines misuse detection system with anomaly detection system (ADS) or network intrusion detection system and hostbased intrusion detection system is known as hybrid intrusion detection . The aim is to increase the detection rate and decrease the false positive rate by the use of misuse detection and anomaly detection. A review on the hybrid IDS is shown in this paper. It shows several main aspects of hybrid Ids and also reviewed some major research in IDS using hybrid approach. A comparative study of performance criterions of different research is also shown in this paper.
Association between short-term exposure to ambient air pollutants and biomarkers indicative of inflammation and oxidative stress: a cross-sectional study using KoGES-HEXA data

Background Air pollution-induced systemic inflammation and oxidative stress are hypothesized to be the major biological mechanisms underlying pathological outcomes. We examined the association between short-term exposure to ambient air pollutants and biomarkers of inflammation and oxidative stress in 2199 general middle-aged Korean population residing in metropolitan areas. Methods Serum levels of inflammatory cytokines (interleukin [IL]-1β, IL-6, IL-8, IL-10, and tumor necrosis factor [TNF]-α) and urinary levels of 8-hydroxy-2′-deoxyguanosine (8-OHdG) were measured. Daily concentrations of a series of air pollutants (particulate matter [PM]10, PM2.5, SO2, NO2, CO, and O3) were predicted using the Community Multiscale Air Quality modeling system, and participant-level pollutant exposure was determined using geocoded residential addresses. Short-term exposure was defined as the 1- to 7-day moving averages. Results The multivariable-adjusted linear models controlling for the sociodemographic, lifestyle, temporal, and meteorological factors identified positive associations of PM with IL-1β, IL-8, IL-10, TNF-α, and 8-OHdG levels; SO2 with IL-10 levels, CO with IL-1β, IL-10, and TNF-α levels; and O3 with IL-1β, IL-8, and 8-OHdG levels. O3 levels were inversely associated with IL-10 levels. For each pollutant, the strongest associations were observed for the 7-day average PM and CO with IL-1β (per 10-µg/m3 increase in PM10: 2.7%, 95% confidence interval [CI] = 0.6–4.8; per 10-µg/m3 increase in PM2.5: 6.4%, 95% CI = 2.4–10.5; per 0.1-ppm increase in CO: 3.3%, 95% CI = 0.3–6.5); the 2-day average SO2 with IL-10 levels (per 1-ppb increase in SO2: 1.1%, 95% CI = 0.1–2.1); and the 7-day average O3 with IL-8 levels (per 1-ppb increase in O3: 1.3%, 95% CI = 0.7–1.9). Conclusions Short-term exposure to ambient air pollutants may induce oxidative damage and pro-inflammatory roles, together with counter-regulatory anti-inflammatory response. Supplementary information The online version contains supplementary material available at https://doi.org/10.1265/ehpm.23-00199.
Boundary control for exact cancellation of boundary disturbances in hyperbolic systems of conservation laws

We propose a boundary control methodology based on Riemann invariants to control the state of an hyperbolic system of conservation laws at a boundary, when a known disturbance is applied at the other boundary. The resulting control is an explicit feedforward expression, function of the disturbance at past time instants. The method is illustrated with the control of the water level at the downstream boundary of an open channel, when the inflow rate at the upstream boundary is submitted to a known disturbance.
Biodistribution of chitosan-based magnetite suspensions for targeted hyperthermia in ICR mice

Magnetite and the chitosan-based magnetite suspensions were synthesized by spray-coprecipitation. In the 2 wt% chitosan-based magnetite suspension, the zeta-potential value was lower value at 5.6 mV relative to other concentrations of magnetic suspension. The chitosan-based magnetic suspension with a zeta potential close to zero showed increased circulation time in biodistribution of Institute of Cancer Research mice.
Situation aware UAV mission route planning

This paper outlines an agent based approach for UAV (Unmanned Air Vehicles) mission route planning problem. In this context, mission route planning can be defined as finding the “best” set of waypoints for the UAV that will enhance its probability of success in its mission. Mission route planning may be carried out either in premission or in mission time. It may be done either by an onboard control system or by a ground mission planning system. Regardless of these considerations, a problem solving agent for UAV mission route planning problem is proposed in this research. Mission Route Planning Agent in UAV mission route planning context needs to perceive the elements in its environment and comprehend the meaning of this situation to compute a route. In other words, it will use target, threat, terrain and air space restrictions to compute the “best” route for that UAV mission. In a dynamic replanning environment, it will compute its new route again and again each time the situation has changed. To compute the “best” route, an A* based graph search algorithm is used. For a node, while real cost is computed using fuel and threat costs with determined weightings, heuristic cost is selected as the geometric distance. Network is constructed in the search time. Consecutive nodes are determined by spanning range and azimuth with determined increments. The values of weightings for fuel and threat costs and the increments used to construct the network have a great effect on the resulting route and the computation time. While common practice is to use default or user defined values for those, this paper presents a situation aware UAV Mission Route Planning Agent that uses the tactical situation to determine these values.