bluuebunny/crossref_metadata_2025 huggingface dataset:
Developmental Cascade and Transactional Associations Among Biological and Behavioral Indicators of Temperament and Maternal Behavior
Authors: Perry Nicole B. , Dollar Jessica M. , Calkins Susan D. , Bell Martha Ann
Published: May 2017

An empirical model of temperament that assessed transactional and cascade associations between respiratory sinus arrhythmia (RSA), negative affectivity, and the caregiving environment (i.e., maternal intrusiveness) across three time points during infancy (N = 388) was examined. Negative affectivity at 5 months was associated positively with maternal intrusiveness at 10 months, which in turn predicted increased negative affectivity at 24 months. RSA at 5 months was associated positively with negative affectivity at 10 months, which subsequently predicted greater RSA at 24 months. Finally, greater RSA at 5 months predicted greater negative affectivity at 10 months, which in turn predicted greater maternal intrusiveness at 24 months. Results are discussed from a biopsychosocial perspective of development.
Frequency distribution of six cytokine gene polymorphisms in North‐ and South‐Italy
Authors: Santovito A. , Gendusa C. , Matini A. , Ferraro F. , Musso I. , Costanzo M. , Delclos A. , Cervella P.
Published: May 2017

Allelic and genotype frequencies of four cytokine genes were obtained from 738 subjects from North‐ and South‐Italy. Populations were in Hardy–Weinberg equilibrium for all genes but significantly differed in the frequency of all SNPs and three haplotypes. In the MDS graph, they were plotted in separate positions close to Europeans and an Ivorian population, respectively.
Liminality in the occupational identity of mental health peer support workers: A qualitative study
Authors: Simpson Alan , Oster Candice , Muir‐Cochrane Eimear
Published: May 2017

Peer support is increasingly provided as a component of mental health care, where people in recovery from mental health problems use their lived experiences to provide support to those experiencing similar difficulties. In the present study, we explored the evolution of peer support workers’ (PSW) occupational identities. A qualitative study was undertaken alongside a pilot randomized, controlled trial of peer support for service users discharged from a mental hospital in London, UK. Two focus groups were conducted with eight PSW. Semistructured interviews were conducted with 13 service users receiving peer support and on two occasions with a peer support coordinator. The data were analysed using theoretical thematic analysis, focussing on occupational identity formation. We discuss how the occupational identity of PSW evolved through the interplay between their lived experience, their training, and their engagement in the practice environment in such a way as to construct a liminal identity, with positive and negative outcomes. While the difficulties associated with the liminality of PSW could be eased through the formalization and professionalization of the PSW role, there are concerns that this could lead to an undermining of the value of PSW in providing a service by peers for peers that is separate from formal mental health care and relationships. Skilled support is essential in helping PSW negotiate the potential stressors and difficulties of a liminal PSW identity.
Using an Acculturation‐Stress‐Resilience Framework to Explore Latent Profiles of Latina/o Language Brokers
Authors: Kam Jennifer A. , Marcoulides Katerina M. , Merolla Andy J.
Published: May 2017

With survey data from 243 Latina/o early adolescent language brokers, latent profile analyses were conducted to identify different types (i.e., profiles) of brokers. Profiles were based on how often Latina/o early adolescents brokered for family members, as well as their levels of family‐based acculturation stress, negative brokering beliefs, parentification, and positive brokering beliefs. Three brokering profiles emerged: (1) infrequent‐ambivalents, (2) occasional‐moderates, and (3) parentified‐endorsers. Profile membership was significantly predicted by ethnic identification and brokering in a medical context. Respect, brokering at school, and brokering at home did not significantly predict profile membership. In addition, parentified‐endorsers had more frequent perceived ethnic/racial discrimination and depressive symptoms than other profiles. In contrast, infrequent‐ambivalents engaged in risky behaviors less frequently than other profiles.
In Vitro and In Vivo Feedstuff Digestibility for Snook, Centropomus undecimalis, Juveniles
Authors: Lemus Iratzio , Maldonado Carlos , Cuzon Gerard , Sanchez Adolfo , Gaxiola Gabriela , Alvarez Alfonso , Guerrero Martha
Published: May 2017

The degree of hydrolysis (DH) of the ingredients was evaluated for Centropomus undecimalis juveniles. The in vitro experiment included wheat gluten (WG), corn gluten (CG), soybean meal (SBM) and pretreated phytase (SBM + phytase), soy protein concentrate (SPC), canola meal (CAN) and pretreated phytase (CAN + phytase), poultry byproduct meal (PBPM), chicken meal (CHKM), dried whey (DW), Pota meal (PM: mix of giant squid, fish soluble protein concentrate, crustacean meal, and fish oil), and Protiblend (PTB: aquatic and render mix). The highest acidic DH occurred with PTB (0.38 ± 0.06), CHKM (0.33 ± 0.3), and PBPM (0.25 ± 0.03). In the alkaline condition, PTB (1.6 ± 0.17 and 0.98 ± 0.05 for pyloric caeca and intestine, respectively) and CG (1.04 ± 0.4 and 0.75 ± 0.2 for caeca and intestine, respectively) provided the highest DH values. In vitro digestibility demonstrated that PTB was the highest (85.3%) followed by PBPM (51.4%), CAN + phytase (47.6%), CG (45.1%), and CHKM (46.5%). The in vivo experiment concerned the WG, CHKM, PBPM, PM, and PTB diets plus a reference diet with fishmeal (Ref diet). The total %DH was different (P < 0.05) with the lowest values for the WG diet (0.34 ± 0.09%) and Ref diet (0.34 ± 0.15). Free amino acid released during digestion was displayed for these diets and a bifactorial analysis produced no difference (P > 0.05). The apparent digestive coefficients ranged from 89.8 to 92.9% for protein and from 68 to 71.4% for energy.
Effects of Dietary Digestible Protein and Energy Levels on Growth Performance, Feed Utilization, and Body Composition of Juvenile Permit, Trachinotus falcatus (Linnaeus, 1758)
Authors: Nguyen Huy Quang , Chu Thiet Chi , Nguyen Thuy Thi Le , Lund Ivar
Published: May 2017

A 9‐wk study was conducted to evaluate the effect of dietary protein and energy on growth performance of juvenile permit, Trachinotus falcatus, growing from approximately 30 to 150 g. Nine experimental diets were formulated to contain three levels of crude protein (400, 450, and 500 g/kg dry matter [DM]); and three levels of crude lipid (100, 200, and 300 g/kg DM) in a 3 × 3 factorial design. Growth rate and feed efficiency were significantly improved with increasing dietary protein levels from 400 to 500 g/kg and with dietary lipid levels from 100 to 200 g/kg. Fish body protein content was positively correlated with dietary ratio of digestible protein (DP) to digestible energy (DE) (P < 0.01, R2 = 0.83), while body lipid was negatively correlated with dietary DP/DE (R2 = 0.55, P < 0.05) but positively correlated with dietary DE levels (R2 = 0.66, P < 0.01). Results showed a protein‐sparing effect, as protein retention was significantly increased by increasing dietary lipid level. In conclusion, the diet containing DP of 392.7 g/kg and DE of 18.8 MJ/kg (DM), corresponding to a DP/DE of 20.9 g/MJ, is suggested as an optimal feed for growth and feed efficiency in juvenile permit.
Clinical characteristics of functional dyspepsia depending on chemosensitivity to capsaicin
Authors: Hammer J. , Führer M.
Published: May 2017

Background

Augmented chemosensitivity to capsaicin has been demonstrated in approximately half of functional dyspepsia (FD) patients.

Aim

We determined clinical characteristics of FD patients with and without chemical hypersensitivity at baseline and after capsaicin ingestion for 4 weeks.

Methods

N=49 outpatients with confirmed FD received an oral sensitivity test with 0.75 mg capsaicin at three occasions, before and after ingesting 0.25 mg capsaicin tid for 4 weeks. Symptomatic response to capsaicin allowed stratification to a capsaicin positive (chemosensitive) and a capsaicin negative (not chemosensitive) patient group. Symptom diaries were completed in the week before and during capsaicin ingestion.

Results

A total of 53% FD had a positive capsaicin test, Crohnbach alpha was 0.85. Basic clinical characteristics were comparable in capsaicin positive and negative FD, but median daily aggregate upper gastrointestinal symptoms scores were significantly higher in capsaicin positive (median: 9.4; 5.4/11.7) than in capsaicin negative patients (6.6; 4.1/8.1) (P<.05). After capsaicin ingestion, upper gastrointestinal symptoms scores were reduced by −3.3 (−4.9/−1.9; P<.001) in capsaicin positive and −2.6 (−3.8/−0.3; P<.05) in capsaicin negative patients. Lower abdominal symptoms were comparable in capsaicin positive and negative patients at baseline (NS). After capsaicin ingestion lower gastrointestinal symptoms scores were reduced by −1.0 (−1.8/−0.1; P<.05) in capsaicin positive but not significantly altered (−0.6; −1.7/+0.9; NS) in capsaicin negative patients. After long‐term capsaicin ingestion, the capsaicin test turned negative in 53% of chemosensitive patients (P<.01).

Conclusions

Differences in upper GI symptoms distinguished capsaicin positive and negative patients. Symptom improvement after long‐term capsaicin ingestion was indirect proportional to the capsaicin test result.
Videofluoroscopic assessment of the pathophysiology of chronic poststroke oropharyngeal dysphagia
Authors: Vilardell N. , Rofes L. , Arreola V. , Martin A. , Muriana D. , Palomeras E. , Ortega O. , Clavé P.
Published: May 2017

Background and Purpose

Oropharyngeal dysphagia (OD) is a major complaint following stroke, associated with poor clinical outcome and high mortality rates. We aimed at characterizing the kinematics of swallow response associated with unsafe swallowing in chronic poststroke patients with OD.

Patients and Methods

Consecutive poststroke patients with a positive volume‐viscosity swallow test for OD 3 months following stroke were studied by videofluoroscopy (VFS). Demographical and clinical factors and kinematics of swallow response were compared between those poststroke patients with safe swallow (penetration‐aspiration scale, PAS≤2) and those with unsafe swallow (PAS≥3). Receiver operating characteristic (ROC) curves were drawn for laryngeal vestibule closure (LVC) time which predicts unsafe swallow.

Results

We studied 73 poststroke patients (76.7±9.3 years, 53.4% male) by VFS (60.4% with impaired safety, PAS=4.47±1.44, and 95.9% with impaired efficacy of swallow). Poststroke patients with unsafe swallow presented a poorer functional (Rankin 2.2±1.6 vs 1.2±1.0, P<.012) and nutritional status (MNA‐sf≤11, 34.2% vs 7.4%, P<.05) than poststroke patients with safe swallow. Poststroke patients with unsafe swallow presented a significant delay in LVC time (406.4±99.5 ms vs 318.9±80.4 ms; P<.05) and weaker tongue bolus propulsion forces (0.771±0.450 mJ vs 1.638±3.212 mJ; P=.043). LVC time ≥340 ms predicts unsafe swallow in chronic poststroke patients with a diagnostic accuracy of 0.78.

Conclusions

Impaired safety of swallow in chronic poststroke patients is caused by specific impairments in swallow response including delayed timing of airway protection mechanisms and weak tongue propulsion forces. Treatments aiming to restore swallowing function in poststroke patients with OD should be targeted to improve these critical biomechanical events.
Fault-Tolerant Control for Linear Time-Variant Impulsive Singular Systems Subject to Actuator Saturation and L∞ Disturbances
Authors: Khatibi Mahmood , Haeri Mohammad
Published: May 2017

This paper explores the fault-tolerant control problem for uncertain impulsive singular linear time-variant (LTV) systems in the presence of bounded-power or L∞ disturbances. Here, a saturation avoidance mechanism is employed to prevent faulty actuators from overloading. Also, the conflict between attenuating the effect of L∞ disturbances and enlarging the domain of attraction is tackled by proposing a nonconstant state feedback controller. In addition, the proposed method is capable of tolerating time-varying faults. The suggested method is implemented on a mechanical viscoelastic model of cortical bone with impulsive and time-varying nature to evaluate its competency.
Draft Genome Sequence of Streptomyces phaeoluteigriseus DSM41896
Authors: Schniete Jana K. , Salih Talal S. , Algora-Gallardo Lis , Santos Tiago , Filgueira-Martinez Sara , Herron Paul R.
Published: May 2017

The draft genome for the type strain
Streptomyces phaeoluteigriseus
DSM41896 (ISP 5182) is reported. It was classified as a member of the
Streptomyces violaceusniger
clade; however, a polyphasic study showed it was a separate species based on its distinct spore morphology and 16S rRNA sequence. The genome sequence confirms it as a separate species.
Naphthalene formation pathways from phenyl radical via vinyl radical (C2H3) and vinylacetylene (C4H4): computational studies on reaction mechanisms and kinetics
Authors: Wei Mingrui , Zhang Tingting , Li Shunxi , Guo Guanlun , Zhang Dongju
Published: May 2017

The reaction mechanisms of PAH formation from phenyl radical (C6H5) to naphthalene via C2H3 (C2H3-Path) and C4H4 (C4H4-Path) were investigated by the G3(MP2, CC) method. The hydrogen abstraction, ring closure, cis–trans isomerization, and disproportionation reactions were considered, as well as their occurred sequence. The results showed that H-abstraction reactions occurred more easily than H-dissociation reactions. The cis–trans conversion reactions in sub-routes of C2H3-Path and C4H4-Path provided the largest barriers of 51, 53, and 36 kcal/mol along their routes, which illustrated that the cis–trans isomerization was energetically costly in the PAH formation process. The entrance barriers of C2H2-Path, C2H3-Path, and C4H4-Path are 6, 8, and 3 kcal/mol, respectively, which indicates that it is easier to add C4H4 to C6H5 compared with adding C2H2 to C2H3. C2H3 additions were highly exothermic with reaction energies greater than 110 kcal/mol, and compared with C2H2 additions, C2H3 additions were irreversible. However, C2H2-Path, C2H3-Path and C4H4-Path involved energy barriers of 20, 32, and 36 kcal/mol, respectively. Considering the high temperature in combustion and the approximate concentrations of C2H3 and C4H4, all three of these pathways could lead to naphthalene in some combustion flames.
Modified Lorentz transformations in deformed special relativity
Authors: Salesi G. , Greselin M. , Deleidi L. , Peruzza R. A.
Published: May 2017

We have extended a recent approach to Deformed Special Relativity based on deformed dispersion laws, entailing modified Lorentz transformations and, at the same time, noncommutative geometry and intrinsically discrete space–time. In so doing we have obtained the explicit form of the modified Lorentz transformations for a special class of modified momentum-energy relations often found in literature and arising from quantum gravity and elementary particle physics. Actually, our theory looks as a very simple and natural extension of special relativity to include a momentum cutoff at the Planck scale. In particular, the new Lorentz transformations do imply that for high boost speed [Formula: see text] the deformed Lorentz factor does not diverge as in ordinary relativity, but results to be upper bounded by a large finite value of the order of the ratio between the Planck mass and the particle mass. We have also predicted that a generic boost leaves unchanged Planck energy and momentum, which result invariant with respect to any reference frame. Finally, through matrix deformation functions, we have extended our theory to more general cases with dispersion laws containing momentum-energy mixed terms.
Research on the effect of coverage rate on the surface quality in laser direct writing process
Authors: Pan Xuetao , Tu Dawei
Published: May 2017

Direct writing technique is usually used in femtosecond laser two-photon micromachining. The size of the scanning step is an important factor affecting the surface quality and machining efficiency of micro devices. According to the mechanism of two-photon polymerization, combining the distribution function of light intensity and the free radical concentration theory, we establish the mathematical model of coverage of solidification unit, then analyze the effect of coverage on the machining quality and efficiency. Using the principle of exposure equivalence, we also obtained the analytic expressions of the relationship among the surface quality characteristic parameters of microdevices and the scanning step, and carried out the numerical simulation and experiment. The results show that the scanning step has little influence on the surface quality of the line when it is much smaller than the size of the solidification unit. However, with increasing scanning step, the smoothness of line surface is reduced rapidly, and the surface quality becomes much worse.
Many-soliton bound states in dispersion-managed optical fiber: Possibility of fiber-optic transmission of three bits per clock period
Authors: Boudjemâa Abdelâali
Published: May 2017

We study the stability and the dynamics of many-soliton molecules in dispersion-managed (DM) optical fibers with focus on five-and seven-soliton molecules by analytical and numerical means. In particular we calculate the binding force, pulse durations and equilibrium separations using a variational approach. Predicted pulse shapes are in good agreement with those found by numerical simulations of the underlying nonlinear Schrödinger equation. Within limitations, soliton molecules with up to seven solitons possibly allow to encode three bits of data per clock period.
Adaptive Harris corner detection algorithm based on iterative threshold
Authors: Wang Zhicheng , Li Rong , Shao Zhihao , Ma Mengxin , Liang Jianhui , Liu Weizhao , Wang Jie , Liu Yongli
Published: May 2017

An adaptive Harris corner detection algorithm based on the iterative threshold is proposed for the problem that the corner detection algorithm must be given a proper threshold when the corner detection algorithm is extracted. In order to avoid the phenomenon of clustering and restrain the pseudo corner, this algorithm realizes the adaptive threshold selection by iteration instead of the threshold value of the Harris corner detection algorithm. Simulation results show that the proposed method achieves good results in terms of threshold setting and feature extraction.
Intermediate growth in finitely presented algebras
Authors: Koçak Dilber
Published: May 2017

For any integer [Formula: see text], we construct examples of finitely presented associative algebras over a field of characteristic [Formula: see text] with intermediate growth of type [Formula: see text]. We produce these examples by computing the growth types of some finitely presented metabelian Lie algebras.
INFLUENCE OF THERMAL-ELECTRICAL PARAMETER COMBINATIONS ON THERMAL LESIONS OF RADIOFREQUENCY TUMOR ABLATION
Authors: PINHEIRO CLEBER DA SILVA
Published: May 2017

Several studies have been conducted on the applicability of hyperthermia radiofrequency in the treatment of liver tumors. Many theoretical studies have reported the relevance of various physical parameters in terms of their efficacy in combating tumors and have analyzed the impact of these physical parameters on the temperature profile in the diseased tissue. Parameters such as thermal and electrical conductivities have been investigated during simulations of thermal ablation. Such parameters play an important role in the process of heat transfer in tissues. The purpose of this study is to predict the lesion volume, considering the inclusion of temperature dependence of thermal-electrical properties. This paper introduces a three-dimensional computational model that includes different comparative combinations of tissue thermal-electrical parameters as a mapping of temperature (such as thermal and electrical conductivities and specific heat). The finite-element method is employed for simulating hepatic radiofrequency ablation through the numerical solutions of the bioheat, Laplace, and Navier–Stokes equations. The results suggest that different combinations of tissue temperature-dependent parameters can significantly affect the computed lesion volume and that the temperature dependence of electrical conductivity has a major impact on the computed lesion volume and temperature distribution.
ENHANCEMENT OF MECHANICAL PROPERTIES AND CORROSION RESISTANCE OF LOW-CARBON STEEL WITH GRADIENT MICROSTRUCTURE BY IMPACT PEENING AND RECOVERY TREATMENT
Authors: MAO XIANGYANG , LIANG HAO , WANG ZHANGZHONG , SHAO LIJUN
Published: May 2017

A gradient microstructure was generated on a low-carbon steel/Cr alloy through severe deformation by an impact peening and a recovery treatment. The microstructure was probed by scanning electron microscopy, energy disperse spectroscopy and x-ray diffraction. The microhardness, tensile strength and electrochemical corrosion resistance of the gradient microstructure surface were studied. The material with a fine grain gradient microstructure on the surface had increased microhardness, strength, ductility and corrosion resistance compared to a low-carbon steel standard. When a Cr solution was added, a hard (Fe,Cr)7C3 phase was generated, suggesting that Cr alloying plays important roles in these enhanced properties.
Computational Fatigue Analysis of the Pin-Loaded Lug with Quarter-Elliptical Corner Crack
Authors: Boljanović Slobodanka , Maksimović Stevan , Carpinteri Andrea , Jovanović Boško
Published: May 2017

In the present paper, mathematical models based on a new fracture mechanics methodology are developed for the failure analysis of an attachment lug with one/two quarter-elliptical crack(s) emanating from a hole. The strength of lug subjected to cyclic loading is theoretically examined through the following issues: the stress analysis, the estimation of life up to failure and the crack path evolution. The nonlinear stress field along the crack front is simulated by using the [Formula: see text]-integral method together with the finite element method. Furthermore, analytical and numerical methods are employed for the stress intensity factor calculation. The stress-ratio dependence crack growth model is applied in order to evaluate both the life up to failure and the crack growth path. The proposed models are validated through available crack growth data, and the comparison between different results is satisfactory.
Dynamic indoor navigation with bayesian filters
Authors: Wang Wenlu , Ku Wei-Shinn
Published: May 2017

Indoor space navigation has always been an issue without GPS localization. Especially for complicated cases such as emergency evacuation and dynamic navigation, there is no existing efficient solution to the best of our knowledge. Localization in indoor spaces has to rely on sensing devices (e.g., Radio Frequency Identification(RFID) readers, WiFi routers, bluetooth beacons) rather than GPS, and indoor floor plans are more complicated than road networks. Consequently, existing spatial outdoor query techniques are not suitable for this new challenge. However, raw data generated by sensing devices suffers from false negatives and errors. As a result, filtering methods are necessary for accurate localization.

We propose a novel dynamic shortest path navigation strategy to enable efficient navigation for emergency evacuation in indoor spaces. This strategy achieves optimal time efficiency by: 1) using a Bayesian inference based concurrent model, which integrates dynamic shortest path searching into the filtering process, thus achieving an efficient and accurate search for any time-sensitive situation; 2) storing alternative parent nodes along the shortest path search for a fast, dynamic search.

We use both particle filters and the Kalman filter to study which one is more suitable for dynamic environments. In general, we develop an innovative, dynamic shortest path navigation solution based on Bayesian inference localization.
Intellectual Property Rights and the Ascent of Proprietary Innovation in Agriculture
Authors: Clancy Matthew S. , Moschini GianCarlo
Published: May 2017

Biological innovations in agriculture did not enjoy protection by formal intellectual property rights (IPRs) for a long time, but the recent trend has been one of considerable broadening and strengthening of these rights. We document the nature and evolution of these IPRs and provide an assessment of their impacts on innovation. We integrate elements of the institutional history of plant IPRs with a discussion of the relevant economic theory and a review of applicable empirical evidence. Throughout this review, we highlight how the experience of biological innovation mirrors or differs from the broader literature on IPRs and innovation. We conclude with some considerations on the relationship between IPRs, market structure, and the pricing of proprietary inputs in agriculture.
A newly recognised Australian endemic species of Austrolecanium Gullan & Hodgson 1998 (Hemiptera: Coccidae) from Queensland
Authors: LIN YEN-PO , DING ZHENG YEE , GULLAN PENNY J. , COOK LYN G.
Published: May 2017

Austrolecanium cryptocaryae Lin & Cook sp. n. is described based on adult female morphology and DNA sequences from mitochondrial and nuclear loci. This Australian endemic species was found on the underside of leaves of Cryptocarya microneura (Lauraceae) in Queensland. All phylogenetic analyses of four independent DNA loci and a concatenated dataset show that A. cryptocaryae is monophyletic and closely related to A. sassafras Gullan & Hodgson, the type species of Austrolecanium Gullan & Hodgson. The adult female of A. cryptocaryae is described and illustrated and a table is provided of the characters that differ among adult females of the three species of Austrolecanium currently recognised (A. cappari (Froggatt), A. cryptocaryae sp. n. and A. sassafras).
A New Algorithm to Solve the Maximal Connected Subgraph Problem Based on Parallel Molecular Computing
Authors: Guo Nan , Pu Jun , Wang Zhaocai , Huang Dongmei , Li Lei , Zhao Kai
Published: May 2017

DNA computing is widely used in complex NP-complete problems, such as the optimal portfolio problem, the optimum path search problem. DNA computing, having the characteristics of high parallelism, huge storage capacity and low energy loss, is very suitable for solving complex combinatorial
problems. The maximal connected subgraph problem aims to find a connected vertex subset with maximal number of vertices in a simple undirected graph. Using biological computing technology, we give a new DNA algorithm to solve the maximal connected subgraphs problem with O(n)
time complexity, which can significantly reduce the complexity of computing compared with the previous algorithms.
Group Preserving Correction Methods for Differential Algebraic Equations
Authors: Lu Jianguang , Feng Yong , Qin Xiaolin , Tang Juan
Published: May 2017

The group preserving methods proposed by Liu [Int. J. Non-Linear Mech., 2001 and CMES-Comp. Model. Eng., 2006] for ordinary differential equations or differential algebraic equations (DAEs) adopted the Cayley transform or exponential mapping to formulate the Lie group from its Lie algebra.
In this paper, we combine the Euler scheme with the group preserving methods to obtain the high accuracy group preserving techniques. We propose a group preserving correction scheme (GPCS) via exponential mapping and a modified group preserving correction scheme (MGPCS) by considering constraint.
The two schemes provide single-step explicit time integrators for systems of DAEs. Some numerical examples are examined, showing that the GPCS and MGPCS work very well and have good computational efficiency and high accuracy.
Performing Effective Drug Delivery and Hyperthermia Based on Biological and Treatment Parameters: A Comprehensive Eulerian-Lagrangian Approach
Authors: Roohi Reza , Emdad Homayoun , Jafarpur Khosrow
Published: May 2017

The complex nature of involved biomechanical/thermal phenomena, clearly highlights the necessity of a comprehensive numerical modeling of the treatment process. The present numerical study is performed in two main phases: first the magnetic nanoparticles distribution is calculated throughout
the cancerous tissue by application of Eulerian-Lagrangian method. To simulate the bio-system behavior as realistic as possible several parameters and phenomena are numerically modeled such as: Lorentz and Magnetization forces, non-Newtonian blood behavior, tissue multi-zone formation, capillary
vessels blood delivery, lymphatic blood drainage and dominant actuating forces for the particles movement. In the second phase, two coupled energy equations for blood and tissues are solved numerically to determine the temperature distribution in the presence of an external alternating magnetic
field (AMF). The effect of several parameters including flow Re number, strength of static and alternating magnetic fields are investigated, as well. Based on the obtained numerical data, there exists an optimum Mn number to maximize the deposition percentage for various simulated Re number,
in addition to the fact that hyperthermia treatment is more feasible and practical for tissues with high Re number.
Tamil Speech Word Recognition System with Aid of ANFIS and Dynamic Time Warping (DTW)
Authors: Rojathai S , Venkatesulu M
Published: May 2017

It is unfortunate that though the extant Tamil speech word recognition techniques have come out successful in detecting speech words from the speech word database by means of MFCC (Mel Frequency Cepstral Coefficients) features and FFBNN (Feed Forward Back Propagation Neural Network),
they seem to have failed miserably to come up to expectations by generating less than desired outcomes of recital in terms of precision. Hence we have proudly launched, through this document, an innovative Tamil speech recognition technique to address the challenge by making use of novel features
with ANFIS (Adaptive Neuro Fuzzy Inference System) based recognition method. Thus, at the outset, preprocessing is performed to cut down the noise in the input speech signals. Thereafter, feature vectors are mined from the preprocessed speech signals and furnished to the ANFIS. The epoch making
technique is home to three novel features such as Energy Entropy, Short Time Energy and Zero Crossing Rate which are mined from the Tamil speech word signals and subjected to the word recognition procedure, in which, the ANFIS system is well guided by the features from feature mining task
and the recognition efficiency is authenticated by using a set of test speech words. In the course of the testing stage, with a view to achieving exact outcomes, the dynamic time warping is estimated by means of the guidance and test word feature values. The performance outcomes illustrate
the fact that the innovative Tamil speech word recognition technique has been able to achieve amazing efficiency in recognizing the input Tamil speech words, in addition to yielding higher levels of achievement in terms of precision. Moreover, the accomplishment of the well-conceived recognition
technique is assessed and contrasted with the modern Tamil speech word recognition techniques.
A Study of the Effect of Different Inlet Vanes on Cyclone Pressure Drop and Collection Efficiency
Authors: Wenhuan Liu , Pinjing Xu
Published: May 2017

Experimental studies have been conducted on pressure drop and collection efficiency of a cyclone separator with different inlet vanes. The results indicated that all the inlet vanes reduce the cyclone pressure drop and also influence the collection efficiency in various degrees. Cyclone
pressure drop decreases when dust concentration in the gas increases, and when an inlet vane is installed. 3#, 4# inlet vanes cause a higher pressure drop reduction, and a lower collection efficiency than without an inlet vane; Of all the inlet vanes, the effect of 2# on pressure drop reduction
is in the second place and has no reduction in collection efficiency; 1# inlet vane has effect on pressure drop within a limited certain conditions but has the highest collection efficiency.
Dual-Scale Modeling and Simulation of Skin Layer Thickness in Injection Molding with Variable Mold Temperatures
Authors: Su Bei , Zhou Ying-Guo , Turng Lih-Sheng
Published: May 2017

Compared with the constant mold temperature in conventional injection molding (CIM), injection molded parts with variable mold temperatures undergo a different thermomechanical history. As a result, the microstructure—for example, the skin–core structure found often in CIM—can
be changed. However, unlike conventional injection molding, there have been few studies on the microstructure of injection molding with variable mold temperatures (IMVMT), possibly because the experimental control of variable mold temperatures remains difficult. In this paper, the skin layer
thickness of CIM and IMVMT under different mold temperatures was carefully investigated by optical microscope. The higher mold temperatures and longer holding times during the injection flow stage caused a thinning of the highly oriented skin layer, and vice-versa. A dual-scale modeling was
then proposed based on the prediction of crystal dimensions, and it was further used to predict the thickness of the skin layer. The predicted results were in agreement with the experimental observations under the different mold temperatures during IMVMT processing, and the proposed model
proved to be effective.
A Key Insulated Ciphertext Policy Attribute Based Sign Cryption for Mobile Networks
Authors: Dong Zhenjiang , Hong Hanshu , Sun Zhixin , Wang Wei
Published: May 2017

ABE (attribute based encryption) and ABS (attribute based signature) are significant cryptographic primitives which can guarantee secure data sharing between users. However, the traditional sign-then-encrypt mechanism not only consumes much more computation cost on wireless terminal
devices, but also brings about high transmission load to mobile communication systems when key updating happens. In this paper, we first combine the advantages of ciphertext policy attribute based encryption (CP-ABE) with ABS and construct a ciphertext policy attribute based signcryption scheme
based on LSSS structure. Secondly, we introduce the key-insulation mechanism into our scheme, which helps provide flexible and high efficient key updating as well as guarantees both forward and backward security. Finally, by security analysis and performance comparison, we prove our scheme
meets the security demands of confidentiality, unforgeability as well as lower computation cost. The high efficiency with better performance shows that our KI-CP-ABSC (key-insulated ciphertext policy attribute based signcryption) scheme is more appropriate for the data security protection
in mobile communication systems.
Cylindrical Capacitor-Anode Interaction Between Lithium Ion Batteries and (m, m)@(n, n) Double Wall Boron Nitride Nanotubes
Authors: Madani Marzieh Sadat , Nikmaram Farrokh Roya , Chitsazan Azin , Farzi Farand , Monajjemi Majid
Published: May 2017

We report the stability and electronic structures of the double wall boron nitride nanotubes (DWBNNTs) due to interaction with anode lithium ion batteries (LIBs). Nano-Boron Nitride compounds have displayed great potential as anode materials for lithium ion batteries due to their unique
structural, mechanical, and electrical properties. The measured reversible lithium ion capacities of SWBNTs//(Li)n//SWBNTs based anodes are considerably improved compared to the conventional graphite-based anodes. In this study (5, 5)@(7, 7) DWBNNTs, (5, 5)@(8, 8) DWBNNTs and (5, 5)@(9,
9) DWBNNTs have been localized inside the LIBs as an nano-capacitor to enhance electrochemical ratio of lithium ion capacities. Additionally, we have found the structure of (5, 5)@(8, 8) DWBNNTs can be to improve the capacity and electrical transport in anode-based LIBs. Therefore, the modification
of cylindrical of BN and design of SWBNTs//(Li)n//SWBNTs structures provide strategies for improving the performance of material based anodes in LIBs. SWBNTs//(Li)n//SWBNTs could also be assembled into free-standing electrodes without any binder or current collector, which will
lead to increased specific energy density for the overall battery design.
Microwave Effect versus Thermal Effect on the Synthesis of 4-[(substituted benzylidene)amino]-5-(pyridin-4-yl)-4H-1,2,4-Triazole-3-Thiol Candidates
Authors: Naglah Ahmed M , Amr Abd El-Galil E , Bhat Mashooq A
Published: May 2017

A series of Schiff base derivatives 4a-k were synthesized from 4-amino-3-(4-pyridyl)-5-mercapto-4H-1,2,4-triazole 3 as starting materials by using microwave irradiation technique. The synthesized compounds were fully characterized by NMR, FT-IR, elemental analysis, and HR-mass
spectra. The results indicated that the microwave irradiation technique gave higher yields of pure products with short time of the reaction in compare to the thermal method.
Model for Software Quality Evaluation with Fuzzy Information
Authors: Zhao Yi-Ding , Li Zhi-Min , Zhang Xi-Guang
Published: May 2017

To study the problem of multiple attribute decision making in which the decision making information values are triangular fuzzy number, a relative entropy decision making method for software quality evaluation is proposed. Then, according to the concept of the relative entropy, the
relative closeness degree is defined to determine the ranking order of all alternatives by calculating the relative entropy to both the fuzzy positive-ideal solution (FPIS) and fuzzy negative-ideal solution (FNIS) simultaneously. At last, a numerical example for software quality evaluation
is provided to illustrate the proposed method. The result shows the approach is simple, effective and easy to calculate.
An Efficient Closed Frequent Item Sets Mining Algorithm-For Mining Closed Frequent Item Sets from Data Streams
Authors: Kuthadi Venu Madhav , Selvaraj Rajalakshmi
Published: May 2017

A data stream is a continuous sequence of data elements generated from a specified source. Mining frequent item sets in dynamic databases and data streams encounters some challenges that make the mining task harder than static databases. Many research works were developed in the frequent
itemset mining, but these methods have the familiar problem of memory usage and processing time. Because, in data streams data elements are arrive at a rapid rate. The incoming data is unbounded and probably infinite. Due to high speed and large amount of incoming data, frequent item set mining
algorithm must require a limited memory and processing time. To reduce this drawback in the existing method, a new algorithm is proposed in this paper. Here, a new algorithm is named as CFIM is developed for mining closed frequent item sets from the data streams based on their utility and
consistency. During the closed frequent item sets mining, a hash table is maintained to check whether the given item set is closed or not. The computation of closed frequent item sets from the data stream will minimize the memory usage and processing time. Thus our proposed technique performance
is analyzed by using the synthetic data set and compared with the exiting mining techniques.
Prediction of Syllable Duration Using Structure Optimised Cuckoo Search Neural Network (SOCNN) for Text-To-Speech
Authors: Jayasankar T , Vijayaselvi J. Arputha
Published: May 2017

A Feed Forward Neural Network (FFNN) model primarily based unrestricted delivery prediction of language unit length pattern info speech synthesis system is that the focus of this paper. Estimation of delivery parameter of segmental length plays a essential half in unrestricted concatenative
synthesis Text To Speech System (TTS) is capable of synthesize natural sounding speech with improved quality. Common options to coach the Neural Network enclosed language unit position within the phrase, context of language unit, language unit position within the word, language unit nucleus
and amp; language unit identity square measure extracted from the text. Back-propagation Neural Network (BPNN) formula is one in every of the foremost wide used and a preferred technique to optimize the feed forward neural network coaching in delivery prediction. For enhance the accuracy of
delivery prediction language unit length in neural BP, that’s Cuckoo Search formula to seek out the structure of the neural network with least weights while not compromising on the prediction error is planned. Speech information is adopted to check the length prediction performance of
planned SOCNN, wherever the obtained results demonstrate a marked improvement over the essential BP. The system performance is shown mistreatment the synthesizing natural sounding speech for Tamil, national language of Republic of India.
Establishment of Gait Control Model of Quadruped Robot Based on the Theory of Bionic Motion
Authors: Hu He-Xuan , Tang Bo , Shi Chun-Lai , Shi Bang-Wen , Gong Xue-Jiao , Jiang Guang-Xuan , Hu Qiang
Published: May 2017

As quadruped robot is well-balanced, flexible and adaptable to environment, it has wide applications and has attracted the attention of numerous institutes. This paper combines theories of bionics and kinematics to design a quadruped robot and establish a gait control model for it.
Firstly, it studies the bone structure of horse to analyze its structure advantages which are then applied to the design of the quadruped robot with the segment ratio of 1:1. Then the Kinematics formula and the traditional CPG gait control strategy are combined to establish the gait
control model for quadruped robot which could output the joint control signal curves under stable gait.
Mathematical Model and Control Design of Micro Turbine Generation System
Authors: Saravanan G , Gnanambal I
Published: May 2017

In this modern era power generation seems to be a very demanding factor. New models and methods have been proposed to derive from various natural and man made resources. In such instances this paper gives a detailed report on the power generation from micro turbines. To enlist the microturbines
as a prime source of energy utility restructuring, technology evolution, public environmental policy and expanding power demand are some of the most notable factors. Gas turbines plays a very important role in electric power generation. Especially they are used in the Combined cycle process
power Plants. The parameters of Rowen’s model 265-MW single shaft heavy duty gas turbines which are used in dynamic studies are estimated in this paper using the operational and performance data. These data are also used to briefly explain the extraction of parameters of the used model.
Gas turbine parameters are approximated using simple thermodynamics assumptions. Though micro turbine power generation seems to be an uprising and a promising source, the exact design with a perfect model is only capable of producing the highest efficiency. Thus this paper is proposed on the
aspects of social awareness to elaborate a mathematical model and a control design of the Micro Turbine Power Generation System.
First Principles’ Investigation of Electronic Properties of Hf, Ag, Cd, Zn, Ce, Nd, Sm-Modified Lead Zirconate Titanate
Authors: Hussein R. A , El-Okr M , Bashter I. I , Ibrahim M
Published: May 2017

First principles investigations, including density functional theory (DFT) have been applied to calculate the electronic properties of A-site modified lead zirconate titanate (PZT). The theoretical explanation for the origin of fatigue in ferroelectric perovskite oxides was implemented
to study the fatigue behavior. The explanation indicates that, the fatigue is related to the weakness of π bond between Ti 3d and O 2p states, caused by the occupancy of the Ti 3d state by electrons which released from oxygen vacancies. If a certain energy state of
the additive element founded to be overlapped with the Ti 3d state at conduction band minima, then it will sharing the electrons released by oxygen vacancies with the Ti 3d state. Therefore, when the Ti 3d state become less occupied with electrons the π bond
between the Ti 3d and O 2p states become more maintained and the composition is less susceptible to fatigue.
Generating Simply Approximation Spaces by Using Decision Tables
Authors: Sayed M. El
Published: May 2017

The proposed from this paper is view the elimination of the attributes (columns) and the duplicate rows and removing superfluous of attributes values. We obtain the incomplete decision table which is different from the decision table and this table contains the necessary values to make
decisions, and also in this paper we introduce new method to generate topology from decision table the degree of dependency between condition attributes and the decision attribute, reduction based on simply open sets. And also we introduce new concept namely, minimal simply open sets, and
simply open sets. Also we introduce simply approximation space.
The Constant Speedup Mechanism on Adiabatic Quantum Computation
Authors: Zhang Zhigang , Lu Songfeng , Sun Jie , Zhou Qing
Published: May 2017

In the adiabatic quantum computation model, a computational procedure is described by the continuous time evolution of a time dependent Hamiltonian. Classically, the unstructured search problem can be solved only in a running time of order O(G). However, by modifying the
structure of local Hamiltonian or using specific interpolating functions, it is possible to do the calculation in constant time for a quantum computer. This paper reveals the cause that lead to the speedup. We analyze two kinds of specific adiabatic quantum models, and conclude that the value
of relevant elements in back-diagonal of the local Hamiltonian is the main factors affecting the time complexity of adiabatic quantum algorithms. According to the speedup mechanism, we have proposed two kinds of adiabatic quantum algorithms to make a constant time complexity.
Identifying Protein Complexes by Combining Network Topology and Biological Characteristics
Authors: Cao Buwen , Luo Jiawei , Liang Cheng , Wang Shulin
Published: May 2017

Protein–protein interaction (PPI) data derived from biological experiments include many false-positive interactions which are treated equally as other real physical interactions, thereby complicating the detection of real protein complexes from protein–protein interaction
(PPI) networks. In this paper, a new weighting method, named as cwMINE (combined weight of module identification in networks), for detecting protein complexes efficiently in protein interaction networks is presented. cwMINE has a good combination between network topology and biological feature,
which can solve false positives efficiently of PPI networks and make discovered protein complexes higher quality. In addition, a new expanding rule during the detection process, namely, expanding coefficient, is developed to filter edges with lower weights. The proposed method is compared
with several state- of-the-art algorithms in three yeast PPI networks with two benchmark data sets. The experimental results show that the proposed method outperforms the other algorithms in most datasets in terms of the evaluation metrics. We further validate the effectiveness of our method
on a human PPI network constructed from the HPRD dataset to identify important disease-related functional modules and provided valuable indications for disease treatment.
Researches of Detection of Fraudulent Financial Statements Based on Data Mining
Authors: Han Dan
Published: May 2017

Financial statement fraud has been one of the biggest challenges in the modern business world. Financial accounting fraud detection (FAFD) has become an emerging topic of great importance for academic, research and industries. In this paper, the effectiveness of Data Mining (DM) classification
techniques in detecting firms that issue fraudulent financial statements (FFS) and deals with the identification of factors associated to FFS are explored. Our study investigates the usefulness of Data Mining techniques including Decision Trees, Neural Networks and Bayesian Belief Networks
in the identification of fraudulent financial statements. At last, we compare the three models in terms of their performances.