bluuebunny/crossref_metadata_2025_split huggingface dataset:
MolCom system with downlink/uplink biocyber interface for Internet of Bio‐NanoThings
Authors: Abd El‐atty Saied M. , Bidar Reda , El‐Rabaie El‐Sayed M. 
Published: September 2019

SummaryInspired by wireless communication systems, we propose a feasible downlink/uplink biocyber interface for the expected targeted drug delivery system based on Internet of Biological NanoThing (IoBNT) paradigm. The downlink/uplink biocyber interface of IoBNT comprises Fluorescence Resonance Energy Transfer (FRET) and Molecular Communication (MolCom) technology. On the downlink (from Internet to targeted nanonetwork), the biocyber interface transduces electromagnetic (EM) signal to biochemical signals, and thus with the help of mobile MolCom system based on FRET nanocommunication, the drug information delivers to the diseased cell within the targeted intrabody nanonetwork. On the uplink, the MolCom system consists of embedded sensor/actuator nanonetwork to detect the biochemical changes in the targeted cell, and hence biocyber interface transduces the biochemical signal to EM signal. As a result, the paradigm of IoBNT responses by proper functions to these changes according to the decision of medical health care. The performance analysis of the proposed IoBNT system is numerically investigated through MolCom system‐based FRET, while the performance evaluation is evaluated by employing spreading epidemic scheme in terms of successful probability of drug delivery, channel capacity, average drug‐delivery time, and throughput. The simulation results show that the proposed IoBNT is a promising paradigm for smart drug delivery system, and its performance is mainly based on the nanostructure and the characteristic of molecular nanomachines in the targeted nanonetwork.
Task‐specific adaptations of postural sway in sitting infants
Authors: Arnold Amanda J. , Liddy Joshua J. , Harris Rachel C. , Claxton Laura J. 
Published: September 2019

AbstractWhen engaging in manual or visual tasks while sitting, infants modify their postural sway based on concurrent task demands. It remains unclear whether these modulations are sensitive to differences in concurrent task demands (holding a toy vs. looking at a toy being held by someone else), and whether the properties of the support surface impact these adaptations. We investigated infants’ ability to modify postural sway when holding a toy or visually attending to a toy someone else was holding while sitting on different support surfaces. Twenty‐six independently sitting infants sat on solid and compliant surfaces placed on a force plate while looking at or holding a toy. Measures of postural sway were calculated from the center of pressure data. Visually attending to a toy was associated with less sway and lower sway velocity than when holding a toy. Surprisingly, surface compliance did not affect sway and there were no interaction effects. Whereas sway modulations may facilitate infants’ performance on both manual and visual concurrent tasks, the visual task placed more constraints on the postural system leading to greater adaptations in postural sway. These findings provide insights into how infants are allocating attention and coordinating perceptual‐motor information in developing sitting skills.
Effects of human‐induced prey depletion on large carnivores in protected areas: Lessons from modeling tiger populations in stylized spatial scenarios
Authors: Carter Neil H. , Levin Simon A. , Grimm Volker 
Published: September 2019

AbstractPrey depletion is a major threat to the conservation of large carnivore species globally. However, at the policy‐relevant scale of protected areas, we know little about how the spatial distribution of prey depletion affects carnivore space use and population persistence. We developed a spatially explicit, agent‐based model to investigate the effects of different human‐induced prey depletion experiments on the globally endangered tiger (Panthera tigris) in isolated protected areas—a situation that prevails throughout the tiger's range. Specifically, we generated 120 experiments that varied the spatial extent and intensity of prey depletion across a stylized (circle) landscape (1,000 km2) and Nepal's Chitwan National Park (~1,239 km2). Experiments that created more spatially homogenous prey distributions (i.e., less prey removed per cell but over larger areas) resulted in larger tiger territories and smaller population sizes over time. Counterintuitively, we found that depleting prey along the edge of Chitwan National Park, while decreasing tiger numbers overall, also decreased female competition for those areas, leading to lower rates of female starvation. Overall our results suggest that subtle differences in the spatial distributions of prey densities created by various human activities, such as natural resource‐use patterns, urban growth and infrastructure development, or conservation spatial zoning might have unintended, detrimental effects on carnivore populations. Our model is a useful planning tool as it incorporates information on animal behavioral ecology, resource spatial distribution, and the drivers of change to those resources, such as human activities.
Comparative assessment of chemical treatments on extraction potential of commercial grade silica from rice husk
Authors: Nayak Puja Priyadarshini , Nandi Sujosh , Datta Ashish Kumar 
Published: September 2019

In the present study, an attempt has been made to extract commercial grade amorphous silica nanoparticles from rice husk (RH) using four different chemicals (NaOH, KOH, Na2CO3, and K2CO3) and two washing solvents (water and ethanol). The elemental, structural, and morphological characterizations of the silica samples were carried out using scanning electron microscopy coupled with energy‐dispersive X‐ray spectroscopy (SEM‐EDS), atomic absorption spectrometry (AAS), X‐ray diffraction (XRD), and Fourier‐transform infrared spectroscopy (FTIR). The combined NaOH and water treatment was found to be the most efficient method in terms of recovery of silica sample, while combined Na2CO3 and water treatment was more suitable for obtaining pure silica. No significant difference in the percentage recovery of silica was observed between the two washing treatments at p < 0.05. Scanning electron micrographs of the Na2CO3‐cum‐water and K2CO3‐cum‐water treated samples showed nonagglomerated silica nanoparticles. The XRD analysis of silica obtained from these two treatments was also free from any sharp peaks illustrating pure amorphous structure of silica. EDS and AAS study of K2CO3‐cum‐water treated samples showed higher mineral impurities compared to Na2CO3‐cum‐water treated sample. It could be inferred that silica obtained from Na2CO3 and water washing treatment can be used for extraction of metallurgical grade silicon.
An examination of the interpersonal model of binge eating over the course of treatment
Authors: Karam Anna M. , Eichen Dawn M. , Fitzsimmons‐Craft Ellen E. , Wilfley Denise E. 
Published: September 2019

AbstractThe current study examined the interpersonal model of binge eating, which posits that interpersonal problems lead to negative affect, which results in binge eating, over the course of two psychotherapy treatments (interpersonal psychotherapy and cognitive behavioural therapy) in 162 adults with binge‐eating disorder. A series of longitudinal simple mediation analyses preliminarily showed that treatment addresses the mechanisms of the interpersonal model of binge eating as theoretically proposed in predicting reductions in binge eating, the primary dependent variable, and the secondary dependent variables including global eating disorder psychopathology, shape concern, and weight concern, but not reductions in restraint or eating concern. Moderated mediation analyses did not fully support treatment differences, as changes in the mechanisms of the interpersonal model occurred in both treatments and suggest both treatments addressed negative affect and interpersonal precipitants of eating disorder symptomatology. Future research should replicate this study using variables that do not overlap in time to investigate causation of the model, and more generally, further examine theoretical treatment models and treatment mediators as this research could help improve efficacy of treatment for binge‐eating disorder.
Soil Organic Carbon and Carbonates are Binding Phases for Simultaneously Extractable Metals in Calcareous Saltmarsh Soils
Authors: Pellegrini Elisa , Contin Marco , Vittori Antisari Livia , Ferronato Chiara , De Nobili Maria 
Published: September 2019

Abstract
The ability of the simultaneously extracted metals/acid volatile sulfides (∑SEM/AVS) index to ascertain environmental risk from potentially toxic elements in calcareous saltmarsh soils was tested using structural equation modeling. This technique allows the detection of both direct and indirect relationships among AVS, SEM, and other soil variables, representing results in a graphical view. The dataset included 90 soil samples from 21 different sites belonging to 6 different saltmarshes and featured a wide range of soil chemicophysical properties. Variables included in the a priori model were hydroperiod, pH, soil redox potential, labile organic carbon, carbonates, total iron, and total amount of potentially toxic elements (PTEs). The best optimized model pointed out the main soil properties that affect AVS accumulation and SEM speciation in these soils. Effect plots of AVS and SEM calculated with the partial linear mixed-effects models included in the piecewise structural equation modeling showed a significant and positive influence of pH and carbonates on AVS and a highly significant effect of carbonates and labile organic carbon on SEM. Single SEM components were also considered separately, to define the potential contributions of labile organic carbon or carbonates as alternative binding phases. Simultaneously extracted Cu, Ni, and Zn were preferentially bound to carbonates, followed by labile organic carbon, whereas Pb and Cd were easily bound to labile organic carbon. Environ Toxicol Chem 2019;38:2688–2697. © 2019 SETAC
An adaptive approach to vehicle trajectory prediction using multimodel Kalman filter
Authors: Abbas Muhammad Tahir , Jibran Muhammad Ali , Afaq Muhammad , Song Wang‐Cheol 
Published: September 2019

AbstractWith the aim to improve road safety services in critical situations, vehicle trajectory and future location prediction are important tasks. An infinite set of possible future trajectories can exit depending on the current state of vehicle motion. In this paper, we present a multimodel‐based Extended Kalman Filter (EKF), which is able to predict a set of possible scenarios for vehicle future location. Five different EKF models are proposed in which the current state of a vehicle exists, particularly, a vehicle at intersection or on a curve path. EKF with Interacting Multiple Model framework is explored combinedly for mathematical model creation and probability calculation for that model to be selected for prediction. Three different parameters are considered to create a state vector matrix, which includes vehicle position, velocity, and distance of the vehicle from the intersection. Future location of a vehicle is then used by the software‐defined networking controller to further enhance the safety and packet delivery services by the process of flow rule installation intelligently to that specific area only. This way of flow rule installation keeps the controller away from irrelevant areas to install rules, hence, reduces the network overhead exponentially. Proposed models are created and tested in MATLAB with real‐time global positioning system logs from Jeju, South Korea.
A machine learning based framework for IoT device identification and abnormal traffic detection
Authors: Salman Ola , Elhajj Imad H. , Chehab Ali , Kayssi Ayman 
Published: September 2019

AbstractNetwork security is a key challenge for the deployment of Internet of Things (IoT). New attacks have been developed to exploit the vulnerabilities of IoT devices. Moreover, IoT immense scale will amplify traditional network attacks. Machine learning has been extensively applied for traffic classification and intrusion detection. In this paper, we propose a framework, specifically for IoT devices identification and malicious traffic detection. Pushing the intelligence to the network edge, this framework extracts features per network flow to identify the source, the type of the generated traffic, and to detect network attacks. Different machine learning algorithms are compared with random forest, which gives the best results: Up to 94.5% accuracy for device‐type identification, up to 93.5% accuracy for traffic‐type classification, and up to 97% accuracy for abnormal traffic detection.
Aluminum contamination of food during culinary preparation: Case study with aluminum foil and consumers’ preferences
Authors: Dordevic Dani , Buchtova Hana , Jancikova Simona , Macharackova Blanka , Jarosova Monika , Vitez Tomas , Kushkevych Ivan 
Published: September 2019

AbstractThe aim of the work was to estimate the degree of aluminum leakage from aluminum foil during baking process of selected food/meals. The experiment included 11 different types of food (Atlantic salmon Salmo salar, mackerel Scomber scombrus, duck breasts, cheese Hermelín, tomato, paprika, Carlsbad dumplings, pork roast, pork neck, chicken breasts, and chicken thighs) baked both marinated and not marinated. The aluminum content was measured by AAS and ICP/MS methods. The highest aluminum increase was observed in the samples of marinated Salmo salar (41.86 ± 0.56 mg/kg), Scomber scombrus (49.34 ± 0.44 mg/kg), and duck breast (117.26 ± 1.37 g/kg). The research was also supported by the survey that consisted of 784 respondents with different sociodemographic characteristics. The study clearly showed the occurrence of aluminum contamination of food when it is prepared by baking in aluminum foil. It cannot be concluded that aluminum leakage will occur with each type of food. The aluminum contents found among investigated samples are not alarming, though the increase was measured up to 40 times. On the other hand, revealed aluminum contents can represent a risk for younger/smaller children and for individuals with diagnosed certain ailments.
Multivariate realized volatility forecasts of agricultural commodity futures
Authors: Luo Jiawen , Chen Langnan 
Published: September 2019

AbstractWe forecast the multivariate realized volatility of agricultural commodity futures by constructing multivariate heterogeneous autoregressive (MHAR) models with flexible heteroscedastic error structures that allow for non‐Gaussian distribution, stochastic volatility, and heteroscedastic and serial dependence. We evaluate the forecast performances of various models based on both statistical and economic criteria. The in‐sample and out‐of‐sample results suggest that the proposed MHAR models allowing for flexible heteroscedastic covariance structures outperform the benchmark MHAR models. In addition, the proposed Bayesian MHAR models allowing for t innovations improve both in‐sample and out‐of‐sample forecast performance of the corresponding MHAR models with Gaussian innovations.
A modified flavonoid accelerates oligodendrocyte maturation and functional remyelination
Authors: Su Weiping , Matsumoto Steven , Banine Fatima , Srivastava Taasin , Dean Justin , Foster Scott , Pham Peter , Hammond Brian , Peters Alec , Girish Kesturu S. , Rangappa Kanchugarakoppal S. , Basappa  , Jose Joachim , Hennebold Jon D. , Murphy Melinda J. , Bennett‐Toomey Jill , Back Stephen A. , Sherman Larry S. 
Published: September 2019

AbstractMyelination delay and remyelination failure following insults to the central nervous system (CNS) impede axonal conduction and lead to motor, sensory and cognitive impairments. Both myelination and remyelination are often inhibited or delayed due to the failure of oligodendrocyte progenitor cells (OPCs) to mature into myelinating oligodendrocytes (OLs). Digestion products of the glycosaminoglycan hyaluronan (HA) have been implicated in blocking OPC maturation, but how these digestion products are generated is unclear. We tested the possibility that hyaluronidase activity is directly linked to the inhibition of OPC maturation by developing a novel modified flavonoid that functions as a hyaluronidase inhibitor. This compound, called S3, blocks some but not all hyaluronidases and only inhibits matrix metalloproteinase activity at high concentrations. We find that S3 reverses HA‐mediated inhibition of OPC maturation in vitro, an effect that can be overcome by excess recombinant hyaluronidase. Furthermore, we find that hyaluronidase inhibition by S3 accelerates OPC maturation in an in vitro model of perinatal white matter injury. Finally, blocking hyaluronidase activity with S3 promotes functional remyelination in mice with lysolecithin‐induced demyelinating corpus callosum lesions. All together, these findings support the notion that hyaluronidase activity originating from OPCs in CNS lesions is sufficient to prevent OPC maturation, which delays myelination or blocks remyelination. These data also indicate that modified flavonoids can act as selective inhibitors of hyaluronidase activity and can promote OPC maturation, making them excellent candidates to accelerate myelination or promote remyelination following perinatal and adult CNS insults.
Neural oscillations and connectivity characterizing the state of tonic experimental pain in humans
Authors: Nickel Moritz M. , Ta Dinh Son , May Elisabeth S. , Tiemann Laura , Hohn Vanessa D. , Gross Joachim , Ploner Markus 
Published: September 2019

AbstractPain is a complex phenomenon that is served by neural oscillations and connectivity involving different brain areas and frequencies. Here, we aimed to systematically and comprehensively assess the pattern of neural oscillations and connectivity characterizing the state of tonic experimental pain in humans. To this end, we applied 10‐min heat pain stimuli consecutively to the right and left hand of 39 healthy participants and recorded electroencephalography. We systematically analyzed global and local measures of oscillatory brain activity, connectivity, and graph theory‐based network measures during tonic pain and compared them to a nonpainful control condition. Local measures showed suppressions of oscillatory activity at alpha frequencies together with stronger connectivity at alpha and beta frequencies in sensorimotor areas during tonic pain. Furthermore, sensorimotor areas contralateral to stimulation showed significantly increased connectivity to a common area in the medial prefrontal cortex at alpha frequencies. Together, these observations indicate that the state of tonic experimental pain is associated with a sensorimotor‐prefrontal network connected at alpha frequencies. These findings represent a step further toward understanding the brain mechanisms underlying long‐lasting pain states in health and disease.
Differential developmental refinement of the intrinsic electrophysiological properties of CA1 pyramidal neurons from the rat dorsal and ventral hippocampus
Authors: Dougherty Kelly A. 
Published: September 2019

AbstractThe dorsal and ventral regions of the rat longitudinal hippocampal axis are functionally distinct. That is, each region is associated with different behavioral tasks and disease susceptibilities due to underlying anatomical, and physiological differences. These differences are especially pronounced in area CA1, where significant differences in morphology, synaptic physiology, intrinsic excitability, and gene expression have been reported between CA1 pyramidal neurons from the dorsal (DHC) and ventral hippocampus (VHC). However, despite a significant amount of recent attention, a cogent picture of the intrinsic electrophysiological profile of DHC and VHC neurons has remained elusive, due, in part, to experiments performed on rats at different developmental time points. Moreover, the resulting intrinsic electrophysiological profiles are sufficiently different as to warrant a thorough investigation of the spatial and temporal changes in the intrinsic excitability of CA1 pyramidal neurons across developmental time. Accordingly, in this study, I have characterized the intrinsic electrophysiological properties of CA1 pyramidal neurons from acute hippocampal slices prepared from the DHC and VHC throughout an approximately 3‐week developmental period (P14–P37). DHC and VHC neurons exhibited distinct intra‐region changes (DHC or VHC) and inter‐region differences (DHC versus VHC) in their intrinsic electrophysiological properties, which yielded two developmental timelines: (a) a common developmental timeline describing changes observed in both DHC and VHC neurons, and (b) a differential developmental timeline highlighting unique features observed in DHC neurons. Specifically, DHC neurons exhibited significant inter‐region differences in RMP, input resistance, threshold, and spike frequency adaptation relative to VHC neurons, as well as an intra‐region change in the rebound slope (a proxy for Ih). These observations both integrate and reconcile previous work performed with rats at different developmental stages and suggest a distinct developmental trajectory for DHC neurons that might shed light on the normal physiological functions and disease susceptibility of the DHC.
The Journey of Phenolics from the First Spark to Advanced Materials
Authors: Kiskan Baris , Yagci Yusuf 
Published: September 2019

AbstractThe emergence, historical and recent developments of phenolic resins are reviewed. The history of the invention of the first man made plastics and a short bibliography of the inventor Leo H. Baekeland is provided. Moreover, the basic chemistry of phenol‐formaldehyde resins, as synthesis of resol and novolak, their structures, variations, and curing are discussed. Modification of these resins and molecular designs for specific applications in retro perspective are highlighted. This review also provides a comprehensive account on the development of benzoxazine resins as an alternative to classical phenolics. In addition to the benzoxazine synthesis and their curing mechanism, special monomers and polybenzoxazine precursors as curable thermoplastics are reviewed. Besides classical chemicals, the potential of renewables for phenolic resin production is also highlighted. Finally, the relative advantages and disadvantages of these systems are discussed and their future potentials are presented.