bluuebunny/crossref_metadata_2025 huggingface dataset:
Visualisasi dan Transformasi Kebertubuhan Dalam Film Animasi Planes (Ke Arah Pembentukan Mitos Baru)
Authors: Saidi Acep Iwan , Budiwaspada Agung Eko
Published: October 2017

ABSTRACTThis research is entitled “Visualization and Transformation of Embodiment in the Film of Planes Animation”. As an animation film, Planes is interesting because it is using inanimate objects, in this case the planes, as characters. This fact indicates that the character transformation is done by an animator, from the character of inanimate objects in to live character. By using the methods of structural and semiotic analysis, found that the transformation is done not only for personification (it is made as if the inanimate objects becomes alive). In the Planes, “the living things” not only exist in the mind as imagination, but it is exist out of the mind, as an autonomous reality. Based on that, Planes is the animation film which opens space for creating a new myth in the history of culture. Like the fable as a myth in the tradition of primary orality, Planes allows the formation of myth in digital oral tradition.Key Words: Transformation, visualization, embodiment, personification, metaphor, tradition, myth ABSTRAKPenelitian ini bertajuk “Visualisasi dan Transformasi Kebertubuhan dalam Film Animasi Planes”.Sebagai film animasi, Planes menarik karena menggunakan benda-benda mati, dalam hal ini pesawat, sebagai tokoh cerita. Fakta ini mengindikasikan dilakukannya transformasi karakte r ole h animator, yakni dari karakte r “yang mati” ke “yang hidup”.Dengan menggunakan metode analisis structural dan semiotik, ditemukan bahwa transformasi tersebut dilakukan melampaui sarana retorika personifikasi (membuatseolah- olah yang mati menjadi hidup).Di dalam Planes, “yang hidup” itu tidak berada di dalam pikiran dan imajinasi apresiator sebagai yang seolah-olah, melainkan hadir di luar pikiran, berdiri sendiri sebagai realita sotonom. Berdasarkan hal itu, Planes merupakan film animasi yang membuka ruang bagi terciptanya mitos baru dalam sejarah cerita. Jika fable merupakan mitos dalam tradisi kelisanan primer, Planes memungkinkan terbentuknya mitos dalam tradisi lisan digital.Kata kunci: transformasi, visualisasi, kebertubuhan, personifikasi, metafora, tradisi, mitos.
Cover of Journal
Authors: Team Editorial
Published: October 2017

Cover of Journal
An Investigation into Conceptual Metaphors Denoting Life in American and Vietnamese Short Stories
Authors: Anh Dinh Thi Mai
Published: October 2017

Metaphor has attracted the attention of scholars interested in language for more than 2000 years (Ning Yu, 1998). Traditionally, metaphor was viewed as a matter of language, only used in literature to embellish discourse (Kovecses, 2010). However, cognitive linguistics presents a different view of metaphor, stating that metaphor is pervasive and essential in language and thought (Lakoff & Johnson, 1980). It is defined as understanding one abstract conceptual domain (target domain), in terms of another concrete one (source domain). The concept of life has been one of the most common target domains, which is hard to fully comprehend without establishing a set of mappings, i.e. a set of systematic correspondences, between this undelineated notion and other better-known ones. Therefore, this study attempts to probe into conceptual metaphors denoting life in nineteen American and nineteen Vietnamese short stories from 1975 to 1991 in the light of Lakoff and Johnsons framework (1980). The two sets of collected data, specifically 89 illustrations in English and 114 in Vietnamese, are compared and contrasted to find out the similarities and differences in the use of these conceptual metaphors between two languages, in the hope to contribute to foreign language teaching, learning, and translating process
Back Matter
Authors: Team Editorial
Published: October 2017

Author Guidelines
Parametric and Comparative Study of a Flexible Retaining Wall
Authors: Chogueur Aissa , Abdeldjalil Zadjaoui
Published: October 2017

This paper presents design of a self-stabilizing retaining diaphragm wall, using conventional analytical calculation method based on subgrade reaction coefficient and by numerical method with finite elements method FEM can lead to various uncertainties. Hence, engineers have to calibrate a computational strategy to minimize these uncertainties due to numerical modeling. For both two methods, this paper presents various simulations with the structure installed into the supported ground without surcharge. For the first method, the analysis has investigate the influence of main factors such as the wall rigidity, the different stages of excavation, the Young’s modulus, the cohesion and internal friction’s angle of the soil. For the FEM method, two constitutive soil models are used such as Mohr-Coulomb MC and hardening soil model HSM. In case of the last model HSM, the variation of required and additional factors for the model was investigated as well as secant modulus stiffness Eref50, unloading and reloading stiffness modulus Eur, power factor m and Over-consolidated ratio OCR. The results from of the various simulations carried out are confronted with other experimental and numerical results [4]. Avery good coherence results are showed.
Mathematical Modelling and Optimization of Cutting Force, Tool Wear and Surface Roughness by Using Artificial Neural Network and Response Surface Methodology in Milling of Ti-6242S
Authors: Kilickap Erol , Yardimeden Ahmet , Çelik Yahya Hışman
Published: October 2017

In this paper, an experimental study was conducted to determine the effect of different cutting parameters such as cutting speed, feed rate, and depth of cut on cutting force, surface roughness, and tool wear in the milling of Ti-6242S alloy using the cemented carbide (WC) end mills with a 10 mm diameter. Data obtained from experiments were defined both Artificial Neural Network (ANN) and Response Surface Methodology (RSM). ANN trained network using Levenberg-Marquardt (LM) and weights were trained. On the other hand, the mathematical models in RSM were created applying Box Behnken design. Values obtained from the ANN and the RSM was found to be very close to the data obtained from experimental studies. The lowest cutting force and surface roughness were obtained at high cutting speeds and low feed rate and depth of cut. The minimum tool wear was obtained at low cutting speed, feed rate, and depth of cut.
Estimating Co-Contraction Activation of Trunk Muscles Using a Novel Musculoskeletal Model for Pregnant Women
Authors: Morino Saori , Takahashi Masaki
Published: October 2017

Weight gain and stretched abdominal muscles from an enlarged gravid uterus are remarkable features during pregnancy. These changes elicit postural instability and place strain on body segments, contributing to lower back pain. In general, the agonist and antagonist muscles act simultaneously to increase joint stabilization; however, this can cause additional muscle stress during movement. Furthermore, this activation can be observed in pregnant women because of their unstable body joints. Hence, physical modalities based on assessments of muscle activation are useful for managing low back pain during pregnancy. Musculoskeletal models are common when investigating muscle load. However, it is difficult to apply such models to pregnant women and estimate the co-contraction of muscles using musculoskeletal models. Therefore, the purpose of this study is to construct a musculoskeletal model for pregnant women that estimates the co-contraction of trunk muscles. First, motion analysis was conducted on a pregnant woman and the muscle activations of the rectus abdominis and erector spinae were measured. Then, the musculoskeletal model was specifically modified for pregnant women. Finally, the co-contraction was estimated from the results of the musculoskeletal model and electromyography data using a genetic algorithm. With the proposed methods, weakened abdominal muscle torque and the co-contraction activation of trunk muscles were estimated successfully.
Secure Authentication and Prescription Safety Protocol for Telecare Health Services Using Ubiquitous IoT
Authors: Mahmood Zahid , Ning Huansheng , Ullah Ata , Yao Xuanxia
Published: October 2017

Internet-of-Things (IoT) include a large number of devices that can communicate across different networks. Cyber-Physical Systems (CPS) also includes a number of devices connected to the internet where wearable devices are also included. Both systems enable researchers to develop healthcare systems with additional intelligence as well as prediction capabilities both for lifestyle and in hospitals. It offers as much persistence as a platform to ubiquitous healthcare by using wearable sensors to transfer the information over servers, smartphones, and other smart devices in the Telecare Medical Information System (TMIS). Security is a challenging issue in TMIS, and resourceful access to health care services requires user verification and confidentiality. Existing schemes lack in ensuring reliable prescription safety along with authentication. This research presents a Secure Authentication and Prescription Safety (SAPS) protocol to ensure secure communication between the patient, doctor/nurse, and the trusted server. The proposed procedure relies upon the efficient elliptic curve cryptosystem which can generate a symmetric secure key to ensure secure data exchange between patients and physicians after successful authentication of participants individually. A trusted server is involved for mutual authentication between parties and then generates a common key after completing the validation process. Moreover, the scheme is verified by doing formal modeling using Rubin Logic and validated using simulations in NS-2.35. We have analyzed the SAPS against security attacks, and then performance analysis is elucidated. Results prove the dominance of SAPS over preliminaries regarding mutual authentication, message integrity, freshness, and session key management and attack prevention.
Propofol Induces Apoptosis of Neurons but Not Astrocytes, Oligodendrocytes, or Neural Stem Cells in the Neonatal Mouse Hippocampus
Authors: Yan Yasheng , Qiao Shigang , Kikuchi Chika , Zaja Ivan , Logan Sarah , Jiang Congshan , Arzua Thiago , Bai Xiaowen
Published: October 2017

It has been shown that propofol can induce widespread apoptosis in neonatal mouse brains followed by long-term cognitive dysfunction. However, selective brain area and cell vulnerability to propofol remains unknown. This study was aimed to dissect toxic effect of propofol on multiple brain cells, including neurons, astrocytes, oligodendrocytes, and neural stem cells (NSCs). Seven-day-old mice were intraperitoneally administrated propofol or intralipid as a vehicle control for 6 hours. To identify vulnerable cells undergoing apoptosis following propofol exposure, brain sagittal sections were co-stained with antibodies against an apoptosis marker along with neuron, astrocyte, oligodendrocyte, or NSC markers using immunofluorescence staining. The results showed widespread apoptosis in propofol-treated brains (apoptotic cells: 1.55 ± 0.04% and 0.06 ± 0.01% in propofol group and intralipid-treated control group, respectively). Apoptotic cell distribution exhibits region- and cell-specific patterns. Several brain regions (e.g., cerebral cortex and hippocampus) were more vulnerable to propofol than other brain regions. Most apoptotic cells in the hippocampus were located in the cornus ammonis 1 (CA1) subfield. These apoptotic cells were only detected in neurons and not astrocytes, oligodendrocytes, or NSCs. These data demonstrate that different brain regions, subfields, and different types of neuronal cells in mice exhibit various vulnerabilities to propofol. Understanding region- and cell-specific susceptibility to propofol will help to better understand cellular contribution to developmental neurotoxicity and further develop novel therapeutic targets.
Effects of Three Lipidated Oxytocin Analogs on Behavioral Deficits in CD38 Knockout Mice
Authors: Cherepanov Stanislav , Akther Shirin , Nishimura Tomoko , Shabalova Anna , Mizuno Akira , Ichinose Wataru , Shuto Satoshi , Yamamoto Yasuhiko , Yokoyama Shigeru , Higashida Haruhiro
Published: October 2017

Oxytocin (OT) is a nonapeptide that plays an important role in social behavior. Nasal administration of OT has been shown to improve trust in healthy humans and social interaction in autistic subjects. As is consistent with the nature of a peptide, OT has some unfavorable characteristics: it has a short half-life in plasma and shows poor permeability across the blood-brain barrier. Analogs with long-lasting effects may overcome these drawbacks. To this end, we have synthesized three analogs: lipo-oxytocin-1 (LOT-1), in which two palmitoyl groups are conjugated to the cysteine and tyrosine residues, lipo-oxytocin-2 (LOT-2) and lipo-oxytocin-3 (LOT-3), which include one palmitoyl group conjugated at the cysteine or tyrosine residue, respectively. The following behavioral deficits were observed in CD38 knockout (CD38−/−) mice: a lack of paternal nurturing in CD38−/− sires, decreased ability for social recognition, and decreased sucrose consumption. OT demonstrated the ability to recover these disturbances to the level of wild-type mice for 30 min after injection. LOT-2 and LOT-3 partially recovered the behaviors for a short period. Conversely, LOT-1 restored the behavioral parameters, not for 30 min, but for 24 h. These data suggest that the lipidation of OT has some therapeutic benefits, and LOT-1 would be most useful because of its long-last activity.
Numerical Modelling for the Thermal Performance Assessment of a Semi-Opaque Façade with a Multilayer of Nano-Structured and Phase Change Materials
Authors: Balocco Carla , Petrone Giuseppe
Published: October 2017

The aim of our present study was to assess and compare the thermo-physical and energy behaviour of different integrated building façades, using a multi-physics simulation approach. Advanced integrated façades composed of opaque modules, one of them with a phase change materials (PCM) layer, the others with multilayer panels, combined with transparent ones, consisting of nano-structured materials and new-generation photovoltaic systems, were investigated. A multi-physics approach was used for the design optimization of the studied components and evaluation of their thermo-physical and heat transfer performance. In particular, computational fluid dynamics (CFD) multi-physics transient simulations were performed to assess air temperature and velocity fields inside the ventilated cavities. Analysis of heat and mass exchange through all the components was assessed during heating and cooling mode of a reference building. The typical Mediterranean climate was considered. Results comparison allowed the dynamic heat transfer evaluation of the multilayer façades as a function of variable climatic conditions, and their flexibility and adaptability exploitation, when different energy strategies are pursued. The multi-physics modelling approach used, proved to be a strong tool for the energy design optimization and energy sustainability evaluation of different advance materials and building components.
Immigrants and the City: The Relevance of Immigration on Housing Price Gradient
Authors: Antoniucci Valentina , Marella Giuliano
Published: October 2017

Foreign citizens are a more and more significant part of the population of Italian cities and society (8% of the country’s total population), and they contribute to changes in the cultural, social, and economic structure of the country. Our aim was to assess the incidence of the immigrant population on urban house price polarization, as measured using an original indicator: the center-periphery housing price gradient. While there is ample literature on the relationship between average prices and immigrant populations, less research has been conducted on immigration and the housing price gradient on a national scale. This price gradient may indicate whether immigration contributes to changing the residential market, also possibly revealing segregation phenomena. We ran multivariate regressions in several steps on an original dataset of housing prices and socio-economic factors concerning 112 Italian provincial capitals to elucidate whether immigration is correlated with the housing market divide. Our main findings confirmed that larger immigrant populations coincide with steeper housing price gradients on a national scale. Our tests also demonstrated that the relevance of this phenomenon varies for different urban forms, confirming related to housing price dynamics between the cities of northern and southern Italy the relevance of urban density in elucidating.
Recent Advances in Graphene Based TiO2 Nanocomposites (GTiO2Ns) for Photocatalytic Degradation of Synthetic Dyes
Authors: Giovannetti Rita , Rommozzi Elena , Zannotti Marco , D’Amato Chiara Anna
Published: October 2017

Synthetic dyes are widely used in textile, paper, food, cosmetic, and pharmaceutical industries. During industrial processes, some of these dyes are released into the wastewater and their successive release into rivers and lakes produces serious environmental problems. TiO2 is one of the most widely studied and used photocatalysts for environmental remediation. However, it is mainly active under UV-light irradiation due to its band gap of 3.2 eV, while it shows low efficiency under the visible light spectrum. Regarding the exploration of TiO2 activation in the visible light region of the total solar spectrum, the incorporation of carbon nanomaterials, such as graphene, in order to form carbon-TiO2 composites is a promising area. Graphene, in fact, has a large surface area which makes it a good adsorbent for organic pollutants removal through the combination of electrostatic attraction and π-π interaction. Furthermore, it has a high electron mobility and therefore it reduces the electron-hole pair recombination, improving the photocatalytic activity of the semiconductor. In recent years, there was an increasing interest in the preparation of graphene-based TiO2 photocatalysts. The present short review describes the recent advances in TiO2 photocatalyst coupling with graphene materials with the aim of extending the light absorption of TiO2 from UV wavelengths into the visible region, focusing on recent progress in the design and applications in the photocatalytic degradation of synthetic dyes.
Sea Buckthorn Oil—A Valuable Source for Cosmeceuticals
Authors: Koskovac Marijana , Cupara Snezana , Kipic Mihailo , Barjaktarevic Ana , Milovanovic Olivera , Kojicic Ksenija , Markovic Marija
Published: October 2017

Sea buckthorn (Hippophae rhamnoides L., Elaeagnaceae.) is a thorny shrub that has small, yellow to dark orange, soft, juicy berries. Due to hydrophilic and lipophilic ingredients, berries have been used as food and medicine. Sea buckthorn (SB) oil derived from berries is a source of valuable ingredients for cosmeceuticals. The unique combination of SB oil ingredients, in qualitative and quantitative aspects, provides multiple benefits of SB oil for internal and external use. Externally, SB oil can be applied in both healthy and damaged skin (burns or skin damage of different etiology), as it has good wound healing properties. Due to the well-balanced content of fatty acids, carotenoids, and vitamins, SB oil may be incorporated in cosmeceuticals for dry, flaky, burned, irritated, or rapidly ageing skin. There have been more than 100 ingredients identified in SB oil, some of which are rare in the plant kingdom (e.g., the ratio of palmitoleic to γ-linolenic acid). This review discusses facts related to the origin and properties of SB oil that make it suitable for cosmeceutical formulation.
Pinning Effect of Cerium Inclusions during Austenite Grains Growth in SS400 Steel at 1300 °C: A Combined Phase Field and Experimental Study
Authors: Adabavazeh Zary , Hwang Weng-Sing , Dezfoli Amir
Published: October 2017

The pinning effect of cerium inclusions in the austenite grain growth of SS400 steel at 1300 °C is investigated by using a semi-empirical-simulation. Firstly, steel samples containing cerium inclusions are prepared; then the properties of inclusions are determined using SEM. In situ observation of austenite grain growth is performed by LSCM, to determine the fitting parameters of the model such as the grain mobility and the pinning parameter. These parameters are directly inserted into our phase field simulation. The time-dependent Ginzburg-Landau (TDGL) equation is implemented in our phase field model, where the effects of inclusion and grain boundary interaction are inserted as a potential term in the local free energy. The results proved that the optimal size of austenite grains can be achieved by changing the volume fraction of inclusions. In fact, by increasing the volume fraction of inclusions from 0 to 0.1, the austenite grain growth can be decreased where the boundary mobility reduces from 2.3×10−12 m4/Js to 1.0×10−12 m4/Js. The results also demonstrated that increasing the temperature can provide more energy for grain to overcome the inclusions’ pinning force. Moreover, it was shown that the classical Zener model, R c = 0.45 r p f i − 1 , describes the pinning effect of cerium inclusions.
Challenges of Handling, Processing, and Studying Liquid and Supercooled Materials at Temperatures above 3000 K with Electrostatic Levitation
Authors: Ishikawa Takehiko , Paradis Paul-François
Published: October 2017

Over the last 20 years, great progress has been made in techniques for electrostatic levitation, with innovations such as containerless thermophysical property measurements and combination of levitators with synchrotron radiation source and neutron beams, to name but a few. This review focuses on the technological developments necessary for handling materials whose melting temperatures are above 3000 K. Although the original electrostatic levitator designed by Rhim et al. allowed the handling, processing, and study of most metals with melting points below 2500 K, several issues appeared, in addition to the risk of contamination, when metals such as Os, Re, and W were processed. This paper describes the procedures and the innovations that made successful levitation and the study of refractory metals at extreme temperatures (>3000 K) possible; namely, sample handling, electrode design (shape and material), levitation initiation, laser heating configuration, and UV range imaging. Typical results are also presented, putting emphasis on the measurements of density, surface tension, and viscosity of refractory materials in their liquid and supercooled phases. The data obtained are exemplified by tungsten, which has the highest melting temperature among metals (and is second only to carbon in the periodic table), rhenium and osmium. The remaining technical difficulties such as temperature measurement and evaporation are discussed.
Recent Insights into the Crystallization Process; Protein Crystal Nucleation and Growth Peculiarities; Processes in the Presence of Electric Fields
Authors: Nanev Christo
Published: October 2017

Three-dimensional protein molecule structures are essential for acquiring a deeper insight of the human genome, and for developing novel protein-based pharmaceuticals. X-ray diffraction studies of such structures require well-diffracting protein crystals. A set of external physical factors may promote and direct protein crystallization so that crystals obtained are useful for X-ray studies. Application of electric fields aids control over protein crystal size and diffraction quality. Protein crystal nucleation and growth in the presence of electric fields are reviewed. A notion of mesoscopic level of impact on the protein crystallization exercised by an electric field is also considered.
Equilibration in the Nosé–Hoover Isokinetic Ensemble: Effect of Inter-Particle Interactions
Authors: Gupta Shamik , Ruffo Stefano
Published: October 2017

We investigate the stationary and dynamic properties of the celebrated Nosé–Hoover dynamics of many-body interacting Hamiltonian systems, with an emphasis on the effect of inter-particle interactions. To this end, we consider a model system with both short- and long-range interactions. The Nosé–Hoover dynamics aim to generate the canonical equilibrium distribution of a system at a desired temperature by employing a set of time-reversible, deterministic equations of motion. A signature of canonical equilibrium is a single-particle momentum distribution that is Gaussian. We find that the equilibrium properties of the system within the Nosé–Hoover dynamics coincides with that within the canonical ensemble. Moreover, starting from out-of-equilibrium initial conditions, the average kinetic energy of the system relaxes to its target value over a size-independent timescale. However, quite surprisingly, our results indicate that under the same conditions and with only long-range interactions present in the system, the momentum distribution relaxes to its Gaussian form in equilibrium over a scale that diverges with the system size. On adding short-range interactions, the relaxation is found to occur over a timescale that has a much weaker dependence on system size. This system-size dependence of the timescale vanishes when only short-range interactions are present in the system. An implication of such an ultra-slow relaxation when only long-range interactions are present in the system is that macroscopic observables other than the average kinetic energy when estimated in the Nosé–Hoover dynamics may take an unusually long time to relax to its canonical equilibrium value. Our work underlines the crucial role that interactions play in deciding the equivalence between Nosé–Hoover and canonical equilibrium.
Compressed Secret Key Agreement:Maximizing Multivariate Mutual Information per Bit
Authors: Chan Chung
Published: October 2017

The multiterminal secret key agreement problem by public discussion is formulated with an additional source compression step where, prior to the public discussion phase, users independently compress their private sources to filter out strongly correlated components in order to generate a common secret key. The objective is to maximize the achievable key rate as a function of the joint entropy of the compressed sources. Since the maximum achievable key rate captures the total amount of information mutual to the compressed sources, an optimal compression scheme essentially maximizes the multivariate mutual information per bit of randomness of the private sources, and can therefore be viewed more generally as a dimension reduction technique. Single-letter lower and upper bounds on the maximum achievable key rate are derived for the general source model, and an explicit polynomial-time computable formula is obtained for the pairwise independent network model. In particular, the converse results and the upper bounds are obtained from those of the related secret key agreement problem with rate-limited discussion. A precise duality is shown for the two-user case with one-way discussion, and such duality is extended to obtain the desired converse results in the multi-user case. In addition to posing new challenges in information processing and dimension reduction, the compressed secret key agreement problem helps shed new light on resolving the difficult problem of secret key agreement with rate-limited discussion by offering a more structured achieving scheme and some simpler conjectures to prove.
Accuracy Analysis Comparison of Supervised Classification Methods for Anomaly Detection on Levees Using SAR Imagery
Authors: Marapareddy Ramakalavathi , Aanstoos James , Younan Nicolas
Published: October 2017

This paper analyzes the use of a synthetic aperture radar (SAR) imagery to support levee condition assessment by detecting potential slide areas in an efficient and cost-effective manner. Levees are prone to a failure in the form of internal erosion within the earthen structure and landslides (also called slough or slump slides). If not repaired, slough slides may lead to levee failures. In this paper, we compare the accuracy of the supervised classification methods minimum distance (MD) using Euclidean and Mahalanobis distance, support vector machine (SVM), and maximum likelihood (ML), using SAR technology to detect slough slides on earthen levees. In this work, the effectiveness of the algorithms was demonstrated using quad-polarimetric L-band SAR imagery from the NASA Jet Propulsion Laboratory’s (JPL’s) uninhabited aerial vehicle synthetic aperture radar (UAVSAR). The study area is a section of the lower Mississippi River valley in the Southern USA, where earthen flood control levees are maintained by the US Army Corps of Engineers.
A Digital Hysteresis Current Control for Half-Bridge Inverters with Constrained Switching Frequency
Authors: Nguyen-Van Triet , Abe Rikiya , Tanaka Kenji
Published: October 2017

This paper proposes a new robustly adaptive hysteresis current digital control algorithm for half-bridge inverters, which plays an important role in electric power, and in various applications in electronic systems. The proposed control algorithm is assumed to be implemented on a high-speed Field Programmable Gate Array (FPGA) circuit, using measured data with high sampling frequency. The hysteresis current band is computed in each switching modulation period based on both the current error and the negative half switching period during the previous modulation period, in addition to the conventionally used voltages measured at computation instants. The proposed control algorithm is derived by solving the optimization problem—where the switching frequency is always constrained at below the desired constant frequency—which is not guaranteed by the conventional method. The optimization problem also keeps the output current stable around the reference, and minimizes power loss. Simulation results show good performances of the proposed algorithm compared with the conventional one.
Extended Gersgorin Theorem-Based Parameter Feasible Domain to Prevent Harmonic Resonance in Power Grid
Authors: Lin Tao , Chen Rusi , Yu Guangzheng , Bi Ruyu , Xu Xialing
Published: October 2017

Harmonic resonance may cause abnormal operation and even damage of power facilities, further threatening normal and safe operation of power systems. For renewable energy generations, controlled loads and parallel reactive power compensating equipment, their operating statuses can vary frequently. Therefore, the parameters of equivalent fundamental and harmonic admittance/impedance of these components exist in uncertainty, which will change the elements and eigenvalues of harmonic network admittance matrix. Consequently, harmonic resonance in power grid is becoming increasingly more complex. Hence, intense research about prevention and suppression of harmonic resonance, particularly the parameter feasible domain (PFD) which can keep away from harmonic resonance, are needed. For rapid online evaluation of PFD, a novel method without time-consuming pointwise precise eigenvalue computations is proposed. By analyzing the singularity of harmonic network admittance matrix, the explicit sufficient condition that the matrix elements should meet to prevent harmonic resonance is derived by the extended Gersgorin theorem. Further, via the non-uniqueness of similar transformation matrix (STM), a strategy to determine the appropriate STM is proposed to minimize the conservation of the obtained PFD. Eventually, the availability and advantages in computation efficiency and conservation of the method, are demonstrated through four different scale benchmarks.
New Hybrid Static VAR Compensator with Series Active Filter
Authors: Tokiwa Ayumu , Yamada Hiroaki , Tanaka Toshihiko , Watanabe Makoto , Shirai Masanao , Teranishi Yuji
Published: October 2017

This paper proposes a new hybrid static VAR compensator (SVC) with a series active filter (AF). The proposed hybrid SVC consists of a series AF and SVC. The series AF, which is connected in series to phase-leading capacitors in the SVC, performs for a resistor for source-side harmonic currents. A sinusoidal source current with a unity power factor is obtained with the series AF, although the thyristor-controlled reactor generates harmonic currents. A digital computer simulation was implemented to confirm the validity and high practicability of the proposed hybrid SVC using PSIM software. The simulation results demonstrate that sinusoidal source currents with a unity power factor are achieved with the proposed hybrid SVC.
Development of a Numerical Approach to Simulate Compressed Air Energy Storage Subjected to Cyclic Internal Pressure
Authors: Chong Song-Hun
Published: October 2017

This paper analyzes the long-term response of unlined energy storage located at shallow depth to improve the distance between a wind farm and storage. The numerical approach follows the hybrid scheme that combined a mechanical constitutive model to extract stress and strains at the first cycle and polynomial-type strain accumulation functions to track the progressive plastic deformation. In particular, the strain function includes the fundamental features that requires simulating the long-term response of geomaterials: volumetric strain (terminal void ratio) and shear strain (shakedown and ratcheting), the strain accumulation rate, and stress obliquity. The model is tested with a triaxial strain boundary condition under different stress obliquities. The unlined storage subjected to cyclic internal stress is simulated with different storage geometries and stress amplitudes that play a crucial role in estimating the long-term mechanical stability of underground storage. The simulations present the evolution of ground surface, yet their incremental rate approaches towards a terminal void ratio. With regular and smooth displacement fields for the large number of cycles, the inflection point is estimated with the previous surface settlement model.
Pre-Infection Stages of Austropuccinia psidii in the Epidermis of Eucalyptus Hybrid Leaves with Different Resistance Levels
Authors: Silva Renata , Silva André , Rodella Roberto , Serrão José , Zanuncio José , Furtado Edson
Published: October 2017

Rust is a major Eucalyptus spp. disease, which is especially damaging for early-stage plants. The aim of this study was to verify the pre-infection process of Austropuccinia psidii (A. psidii) in the leaves of three phenological stages of Eucalyptus clones with different resistance levels. Plants from the hybrids of Eucalyptus urophylla × Eucalyptus grandis (E. grandis) with variable levels of resistance to this disease were used. The pathogen was inoculated in vitro on abaxial leaf discs of first, third, and fifth leaf stages and maintained under conditions suitable for disease development. Subsequently, samples from these discs were collected 24 and 120 h after inoculation and processed using scanning electron microscopy analysis. No symptoms were seen in any leaf stage of the resistant clone. Additionally, a low incidence of A. psidii germination (1.3–2%) and appressoria (0–0.5%) in three leaf stages was observed. However, the first leaf stage of the susceptible clone presented germination of large numbers of urediniospores (65%) with appressoria (55%) and degradation of the cuticle and wax. From the third stage, the percentage of germinated urediniospores (<15%) and appressoria (<2%) formation of this clone decreased. Protrusions on the leaf surface, associated with the pathogen, were observed on the first and third leaf stages of the resistant clone and on the fifth stage of the susceptible clone, suggesting a possible defensive plant reaction.
Estimation of Vegetation Cover Using Digital Photography in a Regional Survey of Central Mexico
Authors: Salas-Aguilar Víctor , Sánchez-Sánchez Cristóbal , Rojas-García Fabiola , Paz-Pellat Fernando , Valdez-Lazalde J. , Pinedo-Alvarez Carmelo
Published: October 2017

The methods for measuring vegetation cover in Mexican forest surveys are subjective and imprecise. The objectives of this research were to compare the sampling designs used to measure the vegetation cover and estimate the over and understory cover in different land uses, using digital photography. The study was carried out in 754 circular sampling sites in central Mexico. Four spatial sampling designs were evaluated in three spatial distribution patterns of the trees. The sampling designs with photographic captures in diagonal form had lower values of mean absolute error (MAE < 0.12) and less variation in random and grouped patterns. The Carbon and Biomass Sampling Plot (CBSP) design was chosen due to its smaller error in the different spatial tree patterns. The image processing was performed using threshold segmentation techniques and was automated through an application developed in the Python language. The two proposed methods to estimate vegetation cover through digital photographs were robust and replicable in all sampling plots with different land uses and different illumination conditions. The automation of the process avoided human estimation errors and ensured the reproducibility of the results. This method is working for regional surveys and could be used in national surveys due to its functionality.
Lactobacillus rhamnosus GR-1 in Fermented Rice Pudding Supplemented with Short Chain Inulin, Long Chain Inulin, and Oat as a Novel Functional Food
Authors: Williams Maja , Hekmat Sharareh
Published: October 2017

Lactobacillus rhamnosus GR-1 is a probiotic that has been shown to reduce the risk of urogenital problems and urinary tract infections. Rice pudding is a popular gluten-free dairy product, and could be a vehicle to deliver L. rhamnosus GR-1 to a broader population. The purpose of this study was to investigate the growth and viability of L. rhamnosus GR-1 in six fermented rice pudding samples, each one supplemented with one type of prebiotic (short-chain inulin-2% w/w, 4% w/w; long-chain inulin-2% w/w, 4% w/w) and oat-0.5% w/w, 1% w/w, along with control, over a 21-day storage period. The objective was to determine if the supplementation would have a positive effect on the microbial viability of L. rhamnosus GR-1, and to evaluate the sensory properties of the samples. All of the samples had viable levels of L. rhamnosus GR-1. Bacterial counts were at least 1 × 108 CFU/mL over the 21-day storage period. The probiotic rice pudding sample supplemented with 4% w/w short-chain inulin had the highest hedonic score for flavour, sweetness, texture, and overall acceptability. This study shows that the addition of short-chain inulin, long-chain inulin, and oat had no adverse supplementation effects on the viability of L. Rhamnosus GR-1. There is the potential for the production of a novel functional food.
Chlorella vulgaris as Protein Source in the Diets of African Catfish Clarias gariepinus
Authors: Enyidi Uchechukwu
Published: October 2017

Plant proteins substitutes of fishmeal in aquafeed are usually lacking in some essential amino acids and fatty acids. The microalgae Chlorella vulgaris has good-quality protein with amino acids rich in methionine, lysine and alanine. Four novel diets having C. vulgaris as the main source of protein were produced for African catfish Clarias gariepinus with an initial average weight of 1.09 ± 0.05 g. The diets were labeled Feed 1 (F1) to feed 4 (F4). The treatment diets were included 25% (F1), 15% (F2), 5% (F3) and 0% (F4) green algae meal. The basal ingredients of the feed were corn (maize) included as F1, 40%, F2, 43%, F3, 53% and F4, 43%; and millet meal, which varied in F1 as 23%, F2, 30%, F3, 30% and F4, 30%. The ingredients were preconditioned at 110 °C and pelleted. Post-fingerling African catfish were stocked at 10 fish per aquarium. There were three replicate aquariums for each feed type and the fish were fed for 60 d. The specific growth rate was best for the catfish fed with 25% C. vulgaris diet 7.86 ± 0% day−1, and worst at 6.77 ± 0.07% day−1 for the control group F4, 0% algal meal. The food conversion ratio (FCR) was lowest (1.88 ± 0.02) for 25% algal meal diet (F1) and highest (2.98 ± 0.01) for the 0% algal meal diet F4. Similarly, catfish had average weight gain of 121.02 ± 0.04 g for those fed with F1 compared to 62.50 ± 0.0 g for those fed with 0% algae F4. Protein efficiency ratio was highest for the F1-fed fish (2.46 ± 0.22) and lowest for those fed with F4 (2.02 ± 0.09). The hepatosomatic index was lowest for F1-fed fish (1.48 ± 0.01) and highest for catfish fed with F4 (2.50 ± 0.59). Based on the results, C. vulgaris is a good protein source for African catfish and can also substitute fishmeal in the catfish diets.
High-Sensitivity AGN Polarimetry at Sub-Millimeter Wavelengths
Authors: Martí-Vidal Ivan , Muller Sébastien
Published: October 2017

The innermost regions of radio loud Active Galactic Nuclei (AGN) jets are heavily affected by synchrotron self-absorption, due to the strong magnetic fields and high particle densities in these extreme zones. The only way to overcome this absorption is to observe at sub-millimeter wavelengths, although polarimetric observations at such frequencies have so far been limited by sensitivity and calibration accuracy. However, new generation instruments such as the Atacama Large mm/sub-mm Array (ALMA) overcome these limitations and are starting to deliver revolutionary results in the observational studies of AGN polarimetry. Here we present an overview of our state-of-the-art interferometric mm/sub-mm polarization observations of AGN jets with ALMA (in particular, the gravitationally-lensed sources PKS 1830−211 and B0218+359), which allow us to probe the magneto-ionic conditions at the regions closest to the central black holes.
Radio Polarisation Study of High Rotation Measure AGNs
Authors: Ma Yik , Mao Sui , Basu Aritra , Heiles Carl , West Jennifer
Published: October 2017

As radio polarised emission from astrophysical objects traverse through foreground magnetised plasma, the physical conditions along the lines of sight are encrypted in the form of rotation measure (RM). We performed broadband spectro-polarimetric observations of high rotation measure ( | RM | ≳ 300 rad m − 2 ) sources away from the Galactic plane ( | b | > 10 ∘ ) selected from the NVSS RM catalogue. The main goals are to verify the NVSS RM values, which could be susceptible to n π -ambiguity, as well as to identify the origin of the extreme RM values. We show that 40 % of our sample suffer from n π -ambiguity in the NVSS RM catalogue. There are also hints of RM variabilities over ∼20 years epoch for most of our sources, as revealed by comparing the RM values of the two studies in the same frequency ranges after correcting for n π -ambiguity. At last, we demonstrate the possibility of applying QU-fitting to study the ambient media of AGNs.
Review-Discussion of Marco Solinas’s From Aristotle’s Teleology to Darwin’s Genealogy
Authors: Leszl Walter
Published: October 2017

The book I am discussing is the second book by Marco Solinas. He is the author of a book on Plato and Freud which first appeared in Italian (Solinas 2008) and then in an expanded version in German translation (Solinas 2012a)[...]
Narrating Entanglement: Cixous’ “Stigmata, or Job the Dog”
Authors: Gerhardt Christina
Published: October 2017

Cixous’ “Stigmata, or Job the Dog” sits at the intersection of animal studies, autobiography, narrative voice, and philosophy. In this essay, I focus on narrative voice and trace its shifts—from human to entangled to animal. At the heart of this essay rest questions about what epistemological shifts are necessary vis-à-vis literature, such that an animal “voice” can be heard as a narrative voice. What would constitute a non-anthropocentric autobiography? What would constitute one narrated by, in this instance, an animal, specifically, a dog? In answering these questions, this essay at once grapples with philosophical-theoretical paradigms, with animal studies, with literary genre studies, and especially autobiography, and with narrative voice. I explore these questions with the aim of contributing to what Derrida has called zoopoetics and particularly to the study of non-anthropocentric autobiography.
Reference Intervals for Non-Fasting CVD Lipids and Inflammation Markers in Pregnant Indigenous Australian Women
Authors: Schumacher Tracy , Oldmeadow Christopher , Clausen Don , Weatherall Loretta , Keogh Lyniece , Pringle Kirsty , Rae Kym
Published: October 2017

Indigenous Australians experience high rates of cardiovascular disease (CVD). The origins of CVD may commence during pregnancy, yet few serum reference values for CVD biomarkers exist specific to the pregnancy period. The Gomeroi gaaynggal research project is a program that undertakes research and provides some health services to pregnant Indigenous women. Three hundred and ninety-nine non-fasting samples provided by the study participants (206 pregnancies and 175 women) have been used to construct reference intervals for CVD biomarkers during this critical time. A pragmatic design was used, in that women were not excluded for the presence of chronic or acute health states. Percentile bands for non-linear relationships were constructed according to the methods of Wright and Royston (2008), using the xriml package in StataIC 13.1. Serum cholesterol, triglycerides, cystatin-C and alkaline phosphatase increased as gestational age progressed, with little change seen in high-sensitivity C-Reactive Protein and γ glutamyl transferase. Values provided in the reference intervals are consistent with findings from other research projects. These reference intervals will form a basis with which future CVD biomarkers for pregnant Indigenous Australian women can be compared.
Variability in Strength, Pain, and Disability Changes in Response to an Isolated Lumbar Extension Resistance Training Intervention in Participants with Chronic Low Back Pain
Authors: Steele James , Fisher James , Bruce-Low Stewart , Smith Dave , Osborne Neil , Newell Dave
Published: October 2017

Strengthening the lumbar extensor musculature is a common recommendation for chronic low back pain (CLBP). Although reported as effective, variability in response in CLBP populations is not well investigated. This study investigated variability in responsiveness to isolated lumbar extension (ILEX) resistance training in CLBP participants by retrospective analysis of three previous randomized controlled trials. Data from 77 participants were available for the intervention arms (males = 43, females = 34) 37 participants data (males = 20, females = 17) from the control arms. Intervention participants had all undergone 12 weeks of ILEX resistance training and changes in ILEX strength, pain (visual analogue scale; VAS), and disability (Oswestry disability index; ODI) measured. True inter-individual (i.e., between participants) variability in response was examined through calculation of difference in the standard deviation of change scores for both control and intervention arms. Intervention participants were classified into responder status using k-means cluster analysis for ILEX strength changes and using minimal clinically important change cut-offs for VAS and ODI. Change in average ILEX strength ranged 7.6 Nm (1.9%) to 192.1 Nm (335.7%). Change in peak ILEX strength ranged −12.2 Nm (−17.5%) to 276.6 Nm (169.6%). Participants were classified for strength changes as low (n = 31), medium (n = 36), and high responders (n = 10). Change in VAS ranged 12.0 mm to −84.0 mm. Participants were classified for VAS changes as negative (n = 3), non-responders (n = 34), responders (n = 15), and high responders (n = 19). Change in ODI ranged 18 pts to −45 pts. Participants were classified for ODI changes as negative (n = 2), non-responders (n = 21), responders (n = 29), and high responders (n = 25). Considerable variation exists in response to ILEX resistance training in CLBP. Clinicians should be aware of this and future work should identify factors prognostic of successful outcomes.