bluuebunny/crossref_metadata_2025 huggingface dataset:
Computational Fluid Dynamics Simulation of High Pressure and High Temperature Waterjet Downhole Drilling Environments for Design of Helix in Drilling Calibration Apparatus
Authors: Li Tao , Yuan Gannan
Published: May 2017

High pressure waterjet drilling (HPWD) as a cutting-edge upstream technology receives considerable attention in horizontal drilling fields. HPWD technology achieves great commercial benefits for the reentry multilateral well drilling in small diameter space where the conventional rotary
drill bit needs high-cost tools to implement. The sophisticated waterjet downhole drilling environments are difficult to predict because the temperatures and pressures varied with the depth of the well and the chemical compositions of drilling fluid. Different proportion of waterjet drilling
fluid (density or viscosity) may produce different pressures and temperatures for the waterjet drilling bit. Therefore, computational fluid dynamics (CFD) simulation of the waterjet drilling environments is of crucial significance, especially for the design of downhole navigation apparatus.
This paper describes the design details of helix drilling calibration (HIDC) apparatus with MEMS gyroscope based measurement while drilling (MGWD) device in downhole harsh conditions. The design objective of HIDC apparatus is that the determined errors of MGWD device interrupted by scale factor
errors and axis non-orthogonal errors can be modulated and the stochastic errors and the bias drift of MGWD device can be reduced. The drilling environments of HIDC apparatus are simulated by ANSYS INFLUENT software and the simulation results demonstrate that the temperature, the pressure
and the flow rate of waterjet drilling fluid to HIDC apparatus are 172.85 °C, 4×108 Pa and 704.4823 m/s respectively.
Study of Traceability Management System for the Cotton Seed Quality and Safety Based on Radio Frequency Identification
Authors: Zhang Li-Xin , Sun Chao-Yang , Huang Qing-Lin , Li Yong-Bing
Published: May 2017

Due to the universal problems of the cotton seed quality, the traceability management system for the cotton seed quality and safety based on RFID is described in this article, which uses RFID technology as the basic technical means. Each RFID tag is affixed to the package of cotton
seeds. The information of cotton seed is written into the RFID tag. The RFID tags are used to trace the entire of the cotton seed, which guarantees the authenticity and reliability of the cotton seed information and ensures the quality and safety of cotton products. The system is developed
through the Visual Studio 2010 as the development environment, and SQL Server 2008 is employed to develop the database.
Certain Topological Indices of Titania Carbon Nanotubes TiO2(m, n)
Authors: Gao Wei , Jamil Muhammad Kamran , Farahani Mohammad Reza , Imran Muhammad
Published: May 2017

Let G(V, E) be a simple graph. Then for an edge e = uv∈e(G), nu is the number of vertices lying closer to v than u, nv is analogously. The second geometric-arithmetic index and second atom-bond-connectivity
indices are defined as GA2(G) =   ∑  uv∈E<mml:mo
stretchy="false">(G)   (2   n
u   n v  )    / (
n u  + n v  ) , and ABC2
=    ∑  uv∈E(G<mml:mo
stretchy="false">)     ( n u  +
n v  −2/( n u
  n v  ),    , respectively. In
this paper, we compute the second versions of geometric arithmetic and atom bond connectivity indices of Titania carbon Nanotubes TiO2(m, n).
Preparation and Application of Carboxyl-Functioned Magnetic Nanoparticles for Arylsulfatase Immobilization
Authors: Li Yongxing , Xiao Qiong , Yin Qin , Ni Hui , Zhu Yanbing , Xiao Anfeng
Published: May 2017

Arylsulfatase, one of a few enzymes that can enhance the gelling strength of agar by cleaving the sulfate ester bonds in agar, was covalently immobilized with carboxyl functioned magnetic nanoparticles (CMNPs). The resultant CMNPs and immobilized arylsulfatase were characterized by
transmission electron microscopy (TEM), Dynamic Light scattering (DLS), X-ray diffraction (XRD), vibrating sample magnetometry (VSM) and thermogravimetric analysis (TGA). The TEM result indicated that the CMNPs and immobilized arylsulfatase had a similar mean particle size of 10 nm. The arylsulfatase-CMNPs
had a mean diameter of 1200 nm in aqueous solution determined by the DLS, which was much bigger than the CMNPs (433.6 nm). The different sizes demonstrated that the arylsulfatase was coated on CMNPs successfully. XRD showed that diffraction patterns of the CMNPs and arylsulfatase-CMNPs were
close to the standard XRD pattern of Fe3O4. Saturation magnetizations were 52.1 emu/g for carriers and 47.9 emu/g for immobilized arylsulfatase, which indicated that the particles had superparamagnetic characteristics. The TGA revealed that the amount of arylsulfatase
bound to the surface of CMNPs was 5.65%. The arylsulfatase exhibited better thermal stability and reusability after immobilization, the immobilized arylsulfatase can retain more than 50% enzyme activity up to the 9th cycle.
Interaction Between Mechanical Forces and Waves Propagation in Magneto-Thermo-Elastic for Fiber-Reinforced Wafer
Authors: Lotfy Kh , Hassan W
Published: May 2017

The objective of this paper is to investigate the surface waves in fibre-reinforced anisotropic elastic medium subjected to magnetic and thermal fields. We introduce the coupled theory (CD), Lord-Shulman (LS) theory and Green-Lindsay (GL) theory to study the influence of magnetic field
on 2D problem of a fibre-reinforced thermoelastic. The analytical expressions for displacement components and force stress are obtained in the physical domain by using the harmonic vibrations. The wave velocity equations have been obtained in different cases. Numerical results for the temperature,
displacement, and thermal stress components are given and illustrated graphically in the presence and absence of the magnetic field of the material medium. A comparison also is made between the three theories in the presence and absence of fiber-reinforced.
Negative Harmonics Injection Cuddled Equal Area Criteria Based Selective Harmonic Elimination Pulse Width Modulation Techniques for Multilevel Cascaded Inverters
Authors: Sreedhar T , Udhayakumar K
Published: May 2017

Selective Harmonics Elimination (SHE) technique of power electronic converters can be generally defined as calculation of the optimized switching angles at any desired output (fundamental) voltage component to eliminate a set of preferred lower order harmonic components. This low switching
frequency method adds values to Multilevel Inverter (MLI) based systems for the reason that MLI’s have the ability to synthesize waveforms closer to sinusoidal with a better harmonics spectrum. The traditional method for finding the optimized switching angles is by solving the Fourier
non-linear transcendental equations of the MLI output voltage and various algorithms like Newton-Raphson (NR) algorithm, Genetic algorithm (GA), Resultant theory, Walsh function etc. are available. This paper proposes a novel approach for performing SHE in MLI working with both equal and unequal
dc voltages. The basic principle in which the proposed technique works is a combined effect of equal area criteria and negative harmonics injection techniques. The major advantage is that the proposed methodology comprises of four simple equations for performing SHE instead of solving the
complex non-linear transcendental equation. The computational efficiency of this algorithm is evaluated through comparison with traditional NR and GA. In addition, a prototype of three-phase seven-level cascaded MLI is designed through which several informative results are investigated and
the effectiveness of the proposed algorithm is proved.
Efficient on Demand Dynamic Availability-Distribution-Span Scheduling and Load Balancing Scheme for Cloud Computing
Authors: Jeyakrishnan V , Sengottuvelan P
Published: May 2017

The problem of load balancing in cloud environment has been approached by different scheduling algorithms. Still the performance of cloud environment has not been met to the point and to overcome these issues, we propose a naval ADS (Availability-Distribution-Span) Scheduling method
to perform load balancing as well as scheduling the resources of cloud environment. The method performs scheduling and load balancing in on demand nature and takes dynamic actions to fulfill the request of users. At the time of request, the method identifies set of resources required by the
process and computes Availability Factor, Distributional Factor and Span Time factor for each of the resource available. Based on all these factors computed, the method schedules the requests to be processed in least span time. The proposed method produces efficient result on scheduling as
well as load balancing to improve the performance of resource utilization in the cloud environment.
A Novel Method Based on Hybrid Summarization System for Arabic Documents
Authors: Alwesabi Khaled , Gui Weihua
Published: May 2017

With continuing global growth of Internet networks and the increase of the amount of texts comes the increased need for automatic summarization. Researchers introduced several methods for article summarization and highlighted the most important information pertaining to this subject.
They also discussed the linguistic methods that rely on rhetorical and linguistic tools to analyze the text by pinpointing the semantic and rhetorical links between different text units to determine the proportional relationship between each other, while others discuss the statistical methods
using a semi-supervised learning technique and statistical theories based on a group of digital measures that was dependent on and was transferred to a degree to highlight the importance of each sentence(s) in the article. In this paper, we propose a simplified explanation for each method,
and the results will be used to highlight the advantages and disadvantages for each method. Our results showed that the statistical method is more effective, especially when the text is long, whereas the linguistic method is effective when the text is short. For these reasons, and to take
the advantage of both methods, we propose a new method based on the length of the text. Our experimental results proved the efficiency and effectiveness of the means to obtain better results, and this method is powerful and flexible enough to successfully target a range of different domains
and summarization tasks. This method is called Hybrid Summarization System (HSS).
Research on the Network Information Security Evaluation Model and Algorithm Based on Grey Relational Clustering Analysis
Authors: Shi Kelei
Published: May 2017

Network information security is controlled by various factors, so its evaluation is a complicated system engineering. In response to the complexity and uncertainty of such factors, we carry out a research on network information security evaluation and propose an evaluation model and
algorithm based on grey relational clustering analysis. A comprehensive analysis is made concerning the influencing factors of network information security to establish an evaluation index system for network information security. Furthermore, ideal domains of various security levels are established
through normalization of different evaluation indexes, hence calculating the grey relational coefficient and grade between target object and such ideal domains. As a result, we determine the category of network information security level. Finally, a practical case demonstrates that the proposed
model is feasible and operable.
Research on the Development of Mobile Payment Industry Chain in China
Authors: Zhong Minghua , Wu Hong
Published: May 2017

The rapid development of mobile payment business makes the financial institution, the telecom carrier and the third party payment company to compete to purse the mobile payment market. However, the operation model of mobile payment market is disordered, it affects the development of
mobile payment business. Mobile payment main bodies develop quickly. Who will dominate the market, the relationships among them is whether cooperation or competition, how to define the values of the financial institution, the telecom carrier and the third party payment company, are the main
questions to be explained. This paper mainly researches on the game among the financial institution, the telecom carrier and the third party company. Through building the game model and the analysis, we draw the conclusion that reasonable resource sharing and income distribution mechanism
can help to achieve an all-win result in mobile payment market.
Predicting College Students English Performance Using Education Data Mining
Authors: Lu Ma
Published: May 2017

Currently there is an increasing interest in Education Data Mining (EDM). Newly developed web-based educational technologies offer researchers unique opportunities to predict students’ academic performance. Web-based systems can routinely collect vast quantities of data on user
patterns, and data mining methods can be applied to these databases. Data mining results can show how students learn and what approaches to learning lead to success. In this paper, an approach to classifying students in order to predict their final grade based on features extracted from logged
data in an education web-based system is presented. We design, implement, and evaluate a series of pattern classifiers and compare their performance on an online college English course dataset. Furthermore, by learning an appropriate weighting of the features used via a genetic algorithm (GA),
we further improve prediction accuracy.
3D Reconstruction Optimization Algorithm Based on Dynamic Clustering in Transformer Substation
Authors: Suo Xuesong , Hou Chenwei , Sun Lei , Liu Zi
Published: May 2017

The visual substation model construction is paid more and more attention. In order to build the substation 3D model without increasing the workload, researchers in related fields often make 3D modeling by transforming the 2D images into 3D model. This paper proposes a reconstruction
algorithm based on dynamic clustering algorithm which is used in reconstruction of transformer substation. According to this method, a dynamic cluster center array can be established, and the different shapes of the same device can be divided, and the information can be extracted and matched
with the 3D model library to complete the 3D model building. The verification results show that the proposed method has higher precision and recall. At last this paper gives a simple example and a complicated example to verify the validity of the method.
Adaptive Neural Fuzzy Inference System Optimization in Converter
Authors: Premalatha R , Murugesan P
Published: May 2017

A new technique of AFIS speed control of DC drives with Asymmetrical Half-Bridge converter is proposed. The PI controller is the most common feedback controller used in the process industries. PI is easily understood algorithm, which give good control action of varied dynamic characteristics.
However, PI controller have drawback of not giving the optimum response for non-linear systems. By the introduction of novel intelligent techniques, the PI controller and FLC are optimized by Adaptive Neural Fuzzy Inference Systems. In this paper the ANFIS optimization method is applied for
speed control of DC to DC converter fed drive. The main motive of this work is to attain minimum transient and switching losses to decrease the energy loss by which the efficiency gets increased.
An Energy Efficient Fast and Secure Data Aggregation Scheme for Wireless Sensor Network
Authors: Ramanan K , Baburaj E
Published: May 2017

Energy efficiency and secured data collection are two important performance metrics for critical event monitoring in wireless sensor network. Current state-of-the-art research is limited to either maximizing security under redundant radix-based approach or security through adversary
model while satisfying throughput requirement. Although many prior research efforts resulted in optimized solutions, but how to optimize both objectives simultaneously has to be addressed. In this paper, an integrated framework called Secured Marvin and Adaptive Derivative Scheduler (SM-ADS)
is presented to improve the fastness of data collection of sensed data event in the sink. To focus on secure data collection of sensed data events, the encryption and decryption of sensor data is simplified using Marvin Message Authentication Codes. We show that the solution to the integrated
framework problem characterizes the secured energy efficient data collection through XOR ing operations. Next, an Adaptive Derivative Scheduler based on Steiner Tree is presented with the objective of reducing the energy consumption of sensed data collection at the sink. By applying the Steiner
tree, minimum hops between source and sink nodes are identified satisfying the energy conservation principal. An extensive simulation analysis to demonstrate the security aspect and energy conservation principal with time taken for data collection is presented. The obtained results show that
SM-ADS provide comparatively better performance than the state-of-the-art works in terms of both security and energy efficiency. Experimental analysis shows that SM-ADS is able to reduce the time for data collection by 25.72% and energy consumption by 18.48% compared to the state-of-the-art
works.
Research of Crowd Evacuation Simulation Based on the Machine Learning
Authors: Liu Baoxi , Han Yanbin , Zhang Hao , Qin Xin
Published: May 2017

A majority of existing evacuation models overlooked the pedestrian’s social relationship and their learning ability. In this paper, we made two improvements base on the social force model. First, a new force called group relationship force was added to the social force model.
Pedestrians who have close relationship could gather into a group and walk together. Second, the machine learning was introduced to the improved social force model to represent pedestrian’s learning and cognitive ability. In the improved model, pedestrians could store the evacuation
route to the knowledge base, and next time they can choose a best path to evacuate according to their knowledge. Simulation results show that the new method could better to avoid obstacles and save evacuation time. Furthermore, this improved model is applied to the simulation system of Ji’nan
Springs Plaza for predictive evacuation experiments.
2D-PCA Representation and Sparse Representation for Image Recognition
Authors: Tian Chunwei , Zhang Qi , Zhang Jian , Sun Guanglu , Sun Yuan
Published: May 2017

The two-dimensional principal component analysis (2D-PCA) method has been widely applied in fields of image classification, computer vision, signal processing and pattern recognition. The 2D-PCA algorithm also has a satisfactory performance in both theoretical research and real-world
applications. It not only retains main information of the original face images, but also decreases the dimension of original face images. In this paper, we integrate the 2D-PCA and spare representation classification (SRC) method to distinguish face images, which has great performance in face
recognition. The novel representation of original face image obtained using 2D-PCA is complementary with original face image, so that the fusion of them can obviously improve the accuracy of face recognition. This is also attributed to the fact the features obtained using 2D-PCA are usually
more robust than original face image matrices. The experiments of face recognition demonstrate that the combination of original face images and new representations of the original face images is more effective than the only original images. Especially, the simultaneous use of the 2D-PCA method
and sparse representation can extremely improve accuracy in image classification. In this paper, the adaptive weighted fusion scheme automatically obtains optimal weights and it has no any parameter. The proposed method is not only simple and easy to achieve, but also obtains high accuracy
in face recognition.
Improved Baugh Wooley Multiplier Using Cadence Register Transfer Level Logic for Power Consumption
Authors: Rajmohan V , Maheswari O. Uma
Published: May 2017

In modern days of VLSI design, speedy operations and low-power consumption is a key requirement for any circuits. When it comes to multipliers, the power efficient multiplier plays an important role. The main aim of this work is to develop the system with faster and less power multiplier
for an efficient process by using Baugh-Wooley multipliers. The optimized Baugh-Wooley multiplier consumes least power, area and produces less delay. The proposed architecture is 193× times faster than Conventional array multiplier in the practical applications and 213× times faster
than a conventional Baugh-Wooley multiplier. The Improved Baugh-Wooley multiplier consumes the power of 09.02 mW and area of 52426 μm2.
Effective Power Allocation with Uniform Pricing Model Based on Game Theory in Nano-Computing Environment of Cognitive Radio Network
Authors: Bharathi Shyamala , Kumar Dhananjay
Published: May 2017

Efficient resource allocation in cognitive radio network (CRN) remains a challenge due to dynamic nature of available spectrum in working band and implementation in nano-computing environment. Adoption of game theory in power allocation based on pricing model requires the formulation
of strategy of the players as profit/loss function which may lead to Nash equilibrium. Earlier research focuses on the impact of game models such as Cournot, and Bertrand in formulating the utility function under the constraint power and service quality. In Cournot and Bertrand game the users
play simultaneously that may not be acquainted with the other user’s action. It suits for common regimes such as all user are to be unlicensed (SU) and they may simultaneously try to access a set of available channels. In this paper, we formulate the condition for optimal power allocation
in CRN using Stackelberg game where the previous user decides its output and then the erstwhile user does so, knowing the output characteristics by the former user. Based on the profit of PU (as a leader) and SU (as a follower), the optimized solution is formulated for power and interference
price and it is modelled as a convex function of transmission power achieved by Nash equilibrium which involves backward induction. By means of a uniform pricing scheme every PU aims to maximize its profit under channel data rate and interference power constraint. The proposed Resource Allocation
using Stackelberg Game (RASG) algorithm tries to optimize uniform pricing and power allocation among SUs such that maximizing throughput and fairness. The simulation results show a significant enhancement in throughput and fairness compared to power optimization based on Bertrand and Cournot
game theory.
Potent Anticancer and mTOR Inhibitor Activities of Some Synthesized Linear and Macrocyclic Pyridine Derivatives
Authors: Amr Abd El-Galil E , Al-Omar Mohamed A , Abdalla Mohamed M
Published: May 2017

A series of linear and macrocyclic 2,6-disubstituted pyridine derivatives 1–7 were previously prepared and evaluated as analgesic and anticonvulsant agents. Herein these derivatives were screened as anti pancreatic cancer, anti-GIT cancer and mTOR inhibitor activities. The tested
compounds were found to have in vivo and in vitro potent anti-pancreatic cancer and anti-GIT cancer activities. The mechanism of action of these compounds was evaluated as mTOR inhibitors.
Companion and Point-of-Care Sensor System for Rapid Multiplexed Detection of a Panel of Infectious Disease Markers
Authors: Panneer Selvam Anjan , Prasad Shalini
Published: May 2017

A nanochannel-based electrochemical biosensor has been demonstrated for rapid and multiplexed detection of a panel of three biomarkers associated with rapid detection of sepsis. The label-free biosensor detected procalcitonin (PCT), lipoteichoic acid (LTA), and lipopolysaccharide (LPS) from human whole blood. The biosensor comprises a nanoporous nylon membrane integrated onto a microelectrode sensor platform for nanoconfinement effects. Charge perturbations due to biomarker binding are recorded as impedance changes using electrochemical impedance spectroscopy. The measured impedance change is used to quantitatively determine the concentration of the three biomarkers using antibody receptors from the tested sample. We were successful in detecting and quantifying the three biomarkers from whole blood. The limit of detection was 0.1 ng/mL for PCT and 1 µg/mL for LPS and LTA. The sensor was able to demonstrate a dynamic range of detection from 01.1 ng/mL to 10 µg/mL for PCT and from 1 µg/mL to 1000 µg/mL for LPS and LTA biomarkers. This novel technology has promising preliminary results toward the design of sensors for rapid and sensitive detection of the three panel biomarkers in whole blood toward diagnosis and classification of sepsis.
“If People Had Not Been Willing to Give Their Lives for the patria or There Had Not Been the Political Prisoners, Then We Would Be Nothing.”
Authors: Power Margaret
Published: May 2017

In this annotated interview Lolita Lebrón explains that the racism she experienced as a factory worker in New York City led her to join the Puerto Rican Nationalist Party. She also discusses her position as the leader of the 1954 attack on the US Congress, the attack itself, gender relations in the party, Pedro Albizu Campos, male supremacist attitudes toward her on the part of her male compañeros, the Nationalist Party's relationships with other political forces, and how she analyzes the long-term impact of the 1954 assault.
Eksistensi Konsep Nilai “Luan dan Teben” sebagai Pembagian Ruang pada Level Makro Berdasarkan Nilai Tradisional Bali di Wilayah Selatan Kabupaten Badung
Authors: Budhiari Ni Made Dwi Sulistia , Buchori Imam
Published: May 2017

Propinsi Bali telah memiliki nilai-nilai kearifan lokal sebagai konseptual dalam pembangunan wilayahnya. Tatanan nilai konseptual ini merupakan suatu elaborasi yang diterapkan secara komprehensif dan sistematis pada setiap aspek pembangunan. Konsep nilai yang menjiwai unsur-unsur tersebut dijiwai oleh nilai-nilai Budaya yang diterjemahkan ke dalam wujud keruangan. Setiap konsep nilai tersebut masing-masing nilai memiliki wilayah yang bersifat madya  ( tengah ) . Sistem perzoningan tersebut menghasilkan wilayah dengan peruntukkan untuk jenis kegiatan tertentu, yang bertujuan untuk menjaga keseimbangan makrokosmos dan mikrokosmos. Dewasa ini arah pembangunan yang terjadi di Kabupaten Badung dirasakan mulai tidak terkendali, hal ini dikarenakan eksistensi Bali sebagai ODTW, mengakibatkan tingginya minat berinvestasi yang pada akhirnya memberikan dampak positif dan negatif. Fenomena ini menarik dilakukan suatu kajian, mengingat dalam pemanfaatan ruang di wilayah Bali harus berdasarkan pada konsep pembagian ruang makro yang tersirat dalam aturan positif. Berdasarkan hasil analisa dengan melakukan perbandingan antara peta overlay pemanfaatan ruang terhadap konsep nilai “local genius” pembagian ruang pada level makro di wilayah Selatan Kabupaten Badung, maka dapat dilihat bahwa eksistensi dari konsep nil ai tersebut telah mengalami pergeseran secara luasan dan tidak terdapat lagi jenis peruntukkan yang mengkhusus seperti yang telah ditentukan sesuai konsep nilai tersebut.Kata kunci: konsep nilai, ruang makro, tradisional Bali
Karakteristik Pedagang Kaki Lima “Pasar Tiban” Pada Koridor Pulutan, Jalan Lingkar Salatiga
Authors: Yanuasri Anggita -
Published: May 2017

Keberadaan PKL seringkali terabaikan dalam penataan ruang di suatu wilayah. Padahal PKL sendiri memiliki peran penting dalam mendukung perekonomian masyarakat. PKL tumbuh sebagai akibat terbatasnya lapangan pekerjaan di sektor formal. PKL pasar tiban pada Koridor Pulutan, Jalan Lingkar Salatiga tumbuh dan berkembang tanpa perencanaan sehingga hal ini menimbulkan hambatan pada kinerja jalan lingkar tersebut. Oleh karena itu, perlu melakukan penataan terhadap ruang aktivitas PKL. Sedangkan dalam melakukan penataan ruang aktivitas PKL, perlu diketahui karakteristik dari PKL yang ada di kawasan tersebut. Sehingga diketahui bahwa karakteristik PKL pasar tiban pada Koridor Pulutan, Jalan Lingkar Salatiga adalah ruang aktivitasnya berlokasi dan bertempat di bahu jalan dan median jalan pada Koridor Pulutan, Jalan Lingkar Salatiga, pola sebarannya memanjang, sifat pelayanannya tidak menetap, serta aktivitas usahanya, yaitu jenis dagangannya adalah makanan/minuman, pakaian, aksesoris, kerajinan tangan, hasil pertanian, buku, mainan, bantal, elektronik, kelontong, dan jasa/persewaan. Sedangkan sarana dagangnya gelaran, tenda, gerobak, meja, mobil, motor, sepeda, kios dan rak serta waktu berdagang setiap Hari Minggu atau hari libur, pukul 05.00 s.d. 10.00 WIB.
Congo red fluorescence upon binding to macromolecules – a possible explanation for the enhanced intensity
Authors: Zemanek Grzegorz , Jagusiak Anna , Chłopaś Katarzyna , Piekarska Barbara , Stopa Barbara
Published: May 2017

The present study attempts to explain the reason for the selective generation of an increase in intensity of Congo red (CR) fluorescence as an effect of the dye interacting with proteins and polysaccharides. This supramolecular dye, which creates ribbon-shaped micelles in aqueous solutions when excited with blue light (470 nm), presents low fluorescence with a maximum within the orange-red light range (approximately 600 nm). In the same conditions, CR-stained preparations of heat-denatured proteins, some native proteins (e.g. cell surface receptors) and cellulose show intense orange-red fluorescence when observed using a fluorescence microscope. The fluormetric measurements showed that the factors that cause the dissociation of the ribbon-shaped CR micelle – ethanol, urea, dimethyl sulfoxide (DMSO) and cholate – all contributed to a significant increase in the fluorescence intensity of the CR solutions. The fluorescence measurements of CR bound to the immunoglobulin light lambda (L λ) chain and soluble carboxymethyl cellulose (CMC) showed a fluorescence intensity which was many times higher. In the case of the denatured (65°C) immunoglobulin L λ chain, the fluorescence intensity significantly exceeded the values observed for the factors which break down the CR micelles. The dissociation of the ribbon-shaped micelles and the complexation of the monomeric CR form with polymers are two of the factors explaining the intense fluorescence of protein and polysaccharide preparations stained with CR.
Trade and growth in a model of allocative inefficiency
Authors: Cothren Richard , Radhakrishnan Ravi
Published: May 2017

The empirical evidence on the causal relationship between international trade and economic growth is inconclusive. While some studies show that trade leads to growth, others have pointed to a reverse causation. In this paper, we develop a model of international trade and productivity growth in the presence of a misallocation of resources. Misallocation in a country arises as a result of lobbying by firms to establish barriers to the competitive allocation of labor. Misallocation prevents the country from exploiting its technological comparative advantage and leads to a reduction in the volume of trade in the absence of any explicit trade barriers. In the model, whether barriers diminish or worsen with productivity growth depends on the extent of the initial resource misallocation. If the initial resource misallocation is not severe, then productivity growth leads to diminishing barriers and vice versa. In either case, productivity growth strengthens the comparative advantage over time and therefore increases the volume of trade.
Privatization Neutrality Theorem in Free Entry Markets
Authors: Matsumura Toshihiro , Okumura Yasunori
Published: May 2017

It is known that if the number of entering firms is endogenous (free entry markets), privatization is not necessarily welfare neutral in mixed oligopolies under a uniform production subsidy policy. We revisit this problem by considering another policy tool, the output floor regulation. We investigate three free entry models with different time structures, a Cournot and two Stackelberg models. We find that neutrality is restored in free entry markets under the optimal output floor regulation, regardless of the time structure.
Preparation, calibration and evaluation of the First International Standard for human C-peptide
Authors: Moore Melanie , Dougall Thomas , Ferguson Jackie , Rigsby Peter , Burns Chris
Published: May 2017

Background:

Measurement of C-peptide by immunoassay contributes to the diagnosis of a number of disorders related to β cell function. Stocks of the current international reference reagent (IRR) for C-peptide, used to calibrate these immunoassays, are exhausted, and this report summarises the international study to establish a replacement World Health Organization (WHO) international standard (IS) to maintain the availability of a globally available reference material and support efforts to standardise C-peptide assays.

Methods:

The study was conducted in three phases; phase I involved the assignment of a value to a primary calibrant in mass units by amino acid analysis and phase II applied this value to the calibration of a candidate standard, 13/146, by reversed phase high-performance liquid chromatography (RP-HPLC) assay. In phase III, the candidate standard was compared to the first IRR by current immunoassays to assess its suitability to serve as an IS.

Results:

Calibration of the candidate standard by RP-HPLC gave a final estimated content of 8.64 μg/ampoule with expanded uncertainty of 8.21–9.07 μg/ampoule (95% confidence; k=2.45). The candidate standard also appears sufficiently stable to serve as an IS, based on HPLC analysis of accelerated thermal degradation samples of 13/146, and was also shown to have appropriate immunological activity. A difference in bias approach was used to assess the commutability of 13/146 with human serum and urine samples. With the exception of two laboratories, the candidate standard demonstrated commutability with respect to the serum and urine samples included in this study.

Conclusions:

The candidate standard, 13/146, is suitable to serve as the First International Standard for human C-peptide, and it has been formally adopted by the Expert Committee on Biological Standardisation of the WHO.
On Kiguradze’s problem on power-law asymptotic behavior of blow-up solutions to Emden–Fowler type differential equations
Authors: Astashova Irina V.
Published: May 2017

For higher-order Emden–Fowler type equations with regular nonlinearity, the asymptotic behavior of their blow-up solutions is investigated.
It is proved that for weakly superlinear differential equations, all such solutions have power-law asymptotic behavior.
Production of hemicellulose oligomers from softwood chips using autohydrolysis followed by an enzymatic post-hydrolysis
Authors: Deloule Vivien , Chirat Christine , Boisset Claire , Toussaint Bertrand , Chroboczek Jadwiga
Published: May 2017

In the context of value added valorization of hemicelluloses (HCs), their soft extraction by autohydrolysis (AH) of softwood (SW) chips has been optimized via the temperature/time parameters (170°C/2 h, 170°C/1 h and 150°C/1 h). Two enzyme mixtures containing mainly a glucanase and a mannanase were used to decrease the degree of polymerization (DP) of the extracted HCs. Hydrolysates containing HCs were analyzed in terms of monomers and oligomers, molecular weight distribution (MWD) and chemical composition. The MW was strongly dependent on AH conditions: most of the water-soluble HCs with 1800 Da MW were obtained at 150°C/1 h. The parameters 170°C/2 h gave rise to MWs<1800 Da. Enzymatic hydrolysis (EH) reduced efficiently the DP of HCs, and the glucosidase was more efficient than the mannanase, but the former also hydrolyzed more oligomers into their monomeric components.
Characterizing Highly Benefited Patients in Randomized Clinical Trials
Authors: Charu Vivek , Rosenberg Paul B. , Schneider Lon S. , Drye Lea T. , Rein Lisa , Shade David , Lyketsos Constantine G. , Frangakis Constantine E.
Published: May 2017

Physicians and patients may choose a certain treatment only if it is predicted to have a large effect for the profile of that patient. We consider randomized controlled trials in which the clinical goal is to identify as many patients as possible that can highly benefit from the treatment. This is challenging with large numbers of covariate profiles, first, because the theoretical, exact method is not feasible, and, second, because usual model-based methods typically give incorrect results. Better, more recent methods use a two-stage approach, where a first stage estimates a working model to produce a scalar predictor of the treatment effect for each covariate profile; and a second stage estimates empirically a high-benefit group based on the first-stage predictor. The problem with these methods is that each of the two stages is usually agnostic about the role of the other one in addressing the clinical goal. We propose a method that characterizes highly benefited patients by linking model estimation directly to the particular clinical goal. It is shown that the new method has the following two key properties in comparison with existing approaches: first, the meaning of the solution with regard to the clinical goal is the same, and second, the value of the solution is the best that can be achieved when using the working model as a predictor, even if that model is incorrect. In the Citalopram for Agitation in Alzheimer’s Disease (CitAD) randomized controlled trial, the new method identifies substantially larger groups of highly benefited patients, many of whom are missed by the standard method.
Jóvenes y representaciones sociales sobre la foto de perfil en Facebook
Authors: Rubiano Rubiano Adriana
Published: May 2017

En este artículo se pretende recoger cómo se  llevó a cabo una investigación cuyo eje central fue identificar cuáles son las representaciones que  tienen los jóvenes de 14 a 17 años de un colegio en Bogotá de la localidad de Usme, sobre cómo son o qué quieren dar a entender sus amigos de Facebook a través de su foto de perfil. Se hace el recorrido desde los antecedentes, el marco teórico, el diseño metodológico que se usó, hasta llegar finalmente a una categorización que realizaron los sujetos de la investigación y que permite interpretar cuáles son las representaciones sociales que allí se encuentran inmersas. Por último, unas conclusiones que aparecen como producto de un ejercicio de investigación cualitativo, hermenéutico y participativo.
SPATIO TEMPORAL DISTRIBUTION OF SMALL PELAGIC FISH IN THE JAVA SEA
Authors: Wijopriono Wijopriono
Published: May 2017

Time spent in seeking fish schools and potential fishing areas is the main source of fuel consumption, and it is a significant factor in raising the cost of fishing operation. Therefore, knowledge of the distribution pattern lnd aggregations of commercial fish in space and time is of considerable financial value to the fishers anAlisnlng industry because it will assist them to reduce the time and fuel consumption of the boats in locating the rich fishing grounds.
Shear behaviour of hybrid fibre-reinforced SCC T-beams
Authors: You Zhi-guo , Wang Xing-guo , Liu Guo-huan , Chen Hai-bin , Li Shi-xia
Published: May 2017

Three series of simply supported hybrid-fibre-reinforced self-compacting concrete T-beams subjected to four-point symmetrically placed vertical load were experimentally investigated. The influence of the following variables was studied: the fibre type, the fibre content, the stirrup ratio and the flange size. Failures were consistently shear or shear–flexure failures, except in five T-beam specimens where the failure was dominated by flexural cracks. The results showed that hybrid fibres can evidently enhance the ultimate shear load. The addition of hybrid fibres in adequate amounts can change the failure mode. The influence of different flange size on the ultimate shear load of the T-beams should be considered. Three methods were proposed – the ‘effective width’, ‘form factor’ and ‘shear funnel’ – for predicting the ultimate shear load of steel-fibre-reinforced self-compacting concrete T-beams, and another two methods were proposed – the ‘revised σ–w design method’ and ‘revised σ–ε design method’ – for predicting the ultimate shear load of hybrid fibre or steel-fibre-reinforced self-compacting concrete T-beams. The ultimate shear load recorded experimentally was compared with the value obtained from the proposed equation. The ‘revised σ–w design method’ was more suitable for predicting the ultimate shear load of T-beams containing hybrid fibres and/or with stirrups, and the correlation was satisfactory.
Thermo-mechanically loaded glass-fibre-reinforced polymer single-bolt single-lap joints
Authors: Turvey Geoffrey John , Szulik Michal
Published: May 2017

The paper describes 120 uniaxial tensile failure tests on pultruded glass-fibre-reinforced polymer (GFRP) single-bolt single-lap joints. For each joint, the lap width to bolt/hole diameter ratio (W/D) and bolt diameter (D) were four and 10 mm, respectively. Five end distance to bolt/hole diameter ratios (E/D) and four test temperatures were investigated. The joints were sub-divided into 20 groups – one for each E/D and temperature combination – and each group comprised six nominally identical joints. In addition to the joint tests, a number of uniaxial tensile failure tests were carried out on the virgin GFRP plate of the joints' laps. Mean ultimate loads and extensions derived from the joint failure tests were used to compile graphs of ultimate stress and overall failure strain as functions of joint geometry and test temperature, from which corresponding characteristic values were obtained. In addition, knock-down factors, which express the ultimate stresses of the joints, relative to the ultimate stress of the virgin GFRP plate, were derived. The knock-down factors were compared with those obtained earlier for single-bolt double-lap joints. The factors may be useful for the preliminary design of single-bolt tension joints.
An Analytical Study of Collection Development Activity in Academic Libraries Affiliated to Biju Patnaik University of Technology (BPUT), Odisha
Authors: Sahu Mahendra K.
Published: May 2017

Collection development is a very important process in building library collections, whether it is academic, research, primary or secondary Institutions. It is a well organized managerial activity which requires a well defined policy. Primarily collection development consists of acquisition, selection, evaluation, preservation and weeding of materials, books, journals, etc. The current study tries to elucidate the function of collection development of academic libraries affiliated to BPUT, Odisha.
Collection Development in University Library: A Case Study of Karnatak University Library from 2005-2009
Authors: Patil S. B. , Joshi A. N.
Published: May 2017

The paper highlights the importance of collection development in a University Library. The study is based on the acquisition data of Karnataka University Library from 2005-2009. An attempt has been made to know the budget allocation to various subjects and the average price of a book in different disciplines. The results are helpful in planning the budgetary allocation for acquisition of books.
Customer Satisfaction of Library Print Resources in Autonomous College Libraries: A Case Study of MBA Students
Authors: Doraswamy M.
Published: May 2017

This study aims to assess the level of satisfaction of users of library resources in autonomous college libraries represented by MBA students. Filled in questionnaires were collected from 250 students to assess their level of satisfaction in regard to quality deliverables and usage of diverse print resources being offered to them by the libraries. The analysis disclose that the level of satisfaction of users in private colleges was more than the level of satisfaction of users in consent colleges in regard to text books, reference books, project reports and question papers. However, with regard to periodicals the users of concern colleges were more satisfied than the users of private colleges.
Information Literacy of Post-Graduate Students and Research Scholars: A Study of Mizoram University
Authors: Lallaisangzuali
Published: May 2017

Information Literacy is conceivably the foundation for learning in our contemporary environment of continuous technological change. As Information and Communication Technologies (ICTs) develop rapidly, and the information environment becomes increasingly complex, developing Information Literacy among students and Research Scholars for lifelong learning is a vital element. The paper aims to explore the status of Information Literacy of Post-Graduate Students and Research Scholars of Mizoram University, Aizawl, their information seeking skills and ability to acquire and use information effectively. A structured questionnaire was distributed among the students and Research Scholars to collect the necessary primary data. The results of the investigation provide useful information about the Information Literacy of the Post-Graduate Students and Research Scholars.
Availability and Accessibility of Information Sources and the Use of Library Services in Engineering Colleges in Tamil Nadu
Authors: Nattar S. , Duraisingam A. , Alex D.
Published: May 2017

Survey of 1209 students belonging to Engineering colleges in Tamilnadu to study the frequency, purpose of visit to the library and the usefulness of engineering science periodicals reveals that 48.54 % of respondents visit library everyday. About 30.77 percent students visit library to borrow books followed by to read journals and magazines (23.66%). It was found that a large number of users read books followed by periodicals. Concludes that emphasis needs to be given for subscribing online periodicals through e-consortia.
Innovative value capture based rail transit financing: an opportunity for emerging transit cities of India
Authors: Kumar Jillella Satya Sai , Newman Peter
Published: May 2017

Emerging cities of the 21st century are attempting to build rail transit as a key driver to maintain their city’s competitiveness and help catalyze livable and sustainable development opportunities around station areas. Indian cities are doing this in a big way with about 50 cities embracing urban metro rail transit systems. The rail projects are approved politically but need financing to build such highly capital-intensive rail transit systems. The use of value capture (VC) mechanisms is gaining momentum across cities worldwide as a solution to transit funding and financing. The first cities in India are now deploying various VC based financing mechanisms. This paper therefore aims to review the experiences of VC based innovative financing practices in selected Indian cities. The research summarizes the key issues and lessons learned from these experiences to help define the way forward. The paper finally concludes that VC prac-tices in India are still at an embryonic stage but the results are encouraging with huge untapped potential to co-create rail transit centered sustainable growth. Moreover, the review findings and lessons learned will help enhance the understanding of the challenges in emerging transit cities of developing countries.