bluuebunny/crossref_metadata_2025 huggingface dataset:
Electrochemical Sensors Modified with Combinations of Sulfur Containing Phthalocyanines and Capped Gold Nanoparticles: A Study of the Influence of the Nature of the Interaction between Sensing Materials
Authors: Ruiz-Carmuega Ana Isabel , Garcia-Hernandez Celia , Ortiz Javier , Garcia-Cabezon Cristina , Martin-Pedrosa Fernando , Sastre-Santos Ángela , Rodríguez-Perez Miguel Angel , Rodriguez-Mendez Maria Luz
Published: October 2019

Voltametric sensors formed by the combination of a sulfur-substituted zinc phthalocyanine (ZnPcRS) and gold nanoparticles capped with tetraoctylammonium bromide (AuNPtOcBr) have been developed. The influence of the nature of the interaction between both components in the response towards catechol has been evaluated. Electrodes modified with a mixture of nanoparticles and phthalocyanine (AuNPtOcBr/ZnPcRS) show an increase in the intensity of the peak associated with the reduction of catechol. Electrodes modified with a covalent adduct-both component are linked through a thioether bond-(AuNPtOcBr-S-ZnPcR), show an increase in the intensity of the oxidation peak. Voltammograms registered at increasing scan rates show that charge transfer coefficients are different in both types of electrodes confirming that the kinetics of the electrochemical reaction is influenced by the nature of the interaction between both electrocatalytic materials. The limits of detection attained are 0.9 × 10−6 mol∙L−1 for the electrode modified with the mixture AuNPtOcBr/ZnPcRS and 1.3 × 10−7 mol∙L−1 for the electrode modified with the covalent adduct AuNPtOcBr-S-ZnPcR. These results indicate that the establishment of covalent bonds between nanoparticles and phthalocyanines can be a good strategy to obtain sensors with enhanced performance, improving the charge transfer rate and the detection limits of voltammetric sensors.
NPs-TiO2 and Lincomycin Coexposure Induces DNA Damage in Cultured Human Amniotic Cells
Authors: Mottola Filomena , Iovine Concetta , Santonastaso Marianna , Romeo Maria Luisa , Pacifico Severina , Cobellis Luigi , Rocco Lucia
Published: October 2019

Titanium dioxide nanoparticles (NPs-TiO2 or TiO2-NPs) have been employed in many commercial products such as medicines, foods and cosmetics. TiO2-NPs are able to carry antibiotics to target cells enhancing the antimicrobial efficiency; so that these nanoparticles are generally used in antibiotic capsules, like lincomycin, added as a dye. Lincomycin is usually used to treat pregnancy bacterial vaginosis and its combination with TiO2-NPs arises questions on the potential effects on fetus health. This study investigated the potential impact of TiO2-NPs and lincomycin co-exposure on human amniocytes in vitro. Cytotoxicity was evaluated with trypan blue vitality test, while genotoxic damage was performed by Comet Test, Diffusion Assay and RAPD-PCR for 48 and 72 exposure hours. Lincomycin exposure produced no genotoxic effects on amniotic cells, instead, the TiO2-NPs exposure induced genotoxicity. TiO2-NPs and lincomycin co-exposure caused significant increase of DNA fragmentation, apoptosis and DNA damage in amniocytes starting from 48 exposure hours. These results contribute to monitor the use of TiO2-NPs combined with drugs in medical application. The potential impact of antibiotics with TiO2-NPs during pregnancy could be associated with adverse effects on embryo DNA. The use of nanomaterials in drugs formulation should be strictly controlled in order to minimize risks.
Hydrogen Production by Formic Acid Decomposition over Ca Promoted Ni/SiO2 Catalysts: Effect of the Calcium Content
Authors: Faroldi B. , Paviotti M. A. , Camino-Manjarrés M. , González-Carrazán S. , López-Olmos C. , Rodríguez-Ramos I.
Published: October 2019

Formic acid, a major product of biomass processing, is regarded as a potential liquid carrier for hydrogen storage and delivery. The catalytic dehydrogenation of FA to generate hydrogen using heterogeneous catalysts is of great interest. Ni based catalysts supported on silica were synthesized by incipient wet impregnation. The effect of doping with an alkaline earth metal (calcium) was studied, and the solids were tested in the formic acid decomposition reaction to produce hydrogen. The catalysts were characterized by X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), temperature-programmed reduction (TPR), Fourier transform infrared spectroscopy (FTIR), transmission electron microscopy (TEM), and programmed temperature surface reaction (TPSR). The catalyst doped with 19.3 wt.% of Ca showed 100% conversion of formic acid at 160 °C, with a 92% of selectivity to hydrogen. In addition, all the tested materials were promising for their application, since they showed catalytic behaviors (conversion and selectivity to hydrogen) comparable to those of noble metals reported in the literature.
Enhancing the Contact Area of Ti Wire as Photoanode Substrate of Flexible Fiber-Type Dye-Sensitized Solar Cells Using the TiO2 Nanotube Growth and Removal Technique
Authors: Tien Mao-Shen , Lin Lu-Yin , Xiao Bing-Chang , Hong Siao-Ting
Published: October 2019

The fiber-type dye-sensitized solar cell (FDSSC) with flexible and dim-light workable features is one of the promising energy generation devices for soft electronics. A novel TiO2 nanotube (TNT) growth and removal technique is proposed in this study to enhance the contact area of the Ti wire substrate using anodization and ultrasonication processes. Smaller and denser imprints of TNT on the surface of Ti wire are obtained when a smaller voltage was applied for anodization. The thickness of the TiO2 nanoparticle layer coated on the Ti wire is also optimized by varying the dip-coating layers. With the smallest diameter and densest distribution of TNT imprints on the Ti wire, the FDSSC with the TiO2/TNT-printed Ti wire photoanode, prepared using 30 V as the anodization voltage, shows the highest photon-to-electricity efficiency of 2.37% as a result of the rough surface of Ti wire substrate, which provides more contact, as well as the suitable thickness of the TiO2 nanoparticle layer, which promotes charge generation and transportation. The smallest charge-transfer resistance and the highest electron collection efficiency are also obtained in this case, as examined using the electrochemical impedance spectroscopy and intensity modulated photocurrent spectroscopy/intensity modulated photovoltage spectroscopy. This facile TNT growth and removal technique is expected to be able to be applied to other fields for enhancing the contact area of the titanium substrate and promoting the generation of electrochemical reactions.
Increasing Dietary Carbohydrate as Part of a Healthy Whole Food Diet Intervention Dampens Eight Week Changes in Salivary Cortisol and Cortisol Responsiveness
Authors: Soltani Hoda , Keim Nancy L. , Laugero Kevin D.
Published: October 2019

It is largely unknown whether and how whole food diets influence psychological stress and stress system responsiveness. To better understand the effects of whole diets on stress system responsiveness, we examined randomized control trial effects of a whole food diet based on the Dietary Guidelines for Americans (DGA) on cortisol responsiveness. A randomized, double-blind, controlled 8-week intervention was conducted in overweight and obese women to examine differentiated effects between two diet intervention groups: one based on the 2010 DGA and the other one based on a typical American diet (TAD). During a test week that occurred at baseline and again after 8 weeks of the intervention, we assessed salivary cortisol collected at 14 selected times across the day, including upon awakening, at bedtime, and during a test visit, and administered a standardized social stress task (Trier Social Stress Test, TSST). There were no statistical differences between the diet groups in salivary cortisol at baseline or after 8 weeks. However, when considering differences in dietary carbohydrate, but not fat or protein, from the pre-intervention (habitual) to the intervention period, there was a significant (P = 0.0001) interaction between diet group, intervention week, saliva sample, and level of intervention-based change in carbohydrate consumption. This interaction was reflected primarily by an 8-week reduction in salivary cortisol during a period just prior to (log Δ −0.35 ± 0.12 nmol/L) and 30 (log Δ −0.49 ± 0.12 nmol/L), 60 (log Δ −0.50 ± 0.13 nmol/L), 90 (log Δ −0.51 ± 0.13 nmol/L), and 120 (log Δ −0.4476 ± 0.1231 nmol/L) min after the TSST in the DGA group having the highest increase (90th percentile) in carbohydrate consumption. In support of this finding, we also found significant (P < 0.05) and inverse linear associations between dietary carbohydrate and log salivary cortisol, with the strongest negative association (β: −0.004 ± 0.0015, P = 0.009) occurring at 30 min post-TSST, but only in the DGA group and at week 9 of the intervention. Together, increasing dietary carbohydrate as part of a DGA-based diet may reduce circulating cortisol and dampen psychological stress-related cortisol responsiveness.
FluoroTome 1: An Apparatus for Tomographic Imaging of Radio-Fluorogenic (RFG) Gels
Authors: Warman John M. , de Haas Matthijs P. , Luthjens Leonard H. , Yao Tiantian , Navarro-Campos Julia , Yuksel Sölen , Aarts Jan , Thiele Simon , Houter Jacco , in het Zandt Wilco
Published: October 2019

Radio-fluorogenic (RFG) gels become permanently fluorescent when exposed to high-energy radiation with the intensity of the emission proportional to the local dose of radiation absorbed. An apparatus is described, FluoroTome 1, that is capable of taking a series of tomographic images (thin slices) of the fluorescence of such an irradiated RFG gel on-site and within minutes of radiation exposure. These images can then be compiled to construct a 3D movie of the dose distribution within the gel. The historical development via a laboratory-bench prototype to a readily transportable, user-friendly apparatus is described. Instrumental details and performance tests are presented.
A Triangular Similarity Measure for Case Retrieval in CBR and Its Application to an Agricultural Decision Support System
Authors: Zhai Zhaoyu , Ortega José-Fernán Martínez , Castillejo Pedro , Beltran Victoria
Published: October 2019

Case-based reasoning has been a widely-used approach to assist humans in making decisions through four steps: retrieve, reuse, revise, and retain. Among these steps, case retrieval plays a significant role because the rest of processes cannot proceed without successfully identifying the most similar past case beforehand. Some popular methods such as angle-based and distance-based similarity measures have been well explored for case retrieval. However, these methods may match inaccurate cases under certain extreme circumstances. Thus, a triangular similarity measure is proposed to identify commonalities between cases, overcoming the drawbacks of angle-based and distance-based measures. For verifying the effectiveness and performance of the proposed measure, case-based reasoning was applied to an agricultural decision support system for pest management and 300 new cases were used for testing purposes. Once a new pest problem is reported, its attributes are compared with historical data by the proposed triangular similarity measure. Farmers can obtain quick decision support on managing pest problems by learning from the retrieved solution of the most similar past case. The experimental result shows that the proposed measure can retrieve the most similar case with an average accuracy of 91.99% and it outperforms the other measures in the aspects of accuracy and robustness.
Exoskeleton Hand Control by Fractional Order Models
Authors: Ivanescu Mircea , Popescu Nirvana , Popescu Decebal , Channa Asma , Poboroniuc Marian
Published: October 2019

This paper deals with the fractional order control for the complex systems, hand exoskeleton and sensors, that monitor and control the human behavior. The control laws based on physical significance variables, for fractional order models, with delays or without delays, are proposed and discussed. Lyapunov techniques and the methods that derive from Yakubovici-Kalman-Popov lemma are used and the frequency criterions that ensure asymptotic stability of the closed loop system are inferred. An observer control is proposed for the complex models, exoskeleton and sensors. The asymptotic stability of the system, exoskeleton hand-observer, is studied for sector control laws. Numerical simulations for an intelligent haptic robot-glove are presented. Several examples regarding these models, with delays or without delays, by using sector control laws or an observer control, are analyzed. The experimental platform is presented.
Flexible and Accurate Calibration Method for Non-Overlapping Vision Sensors Based on Distance and Reprojection Constraints
Authors: Jiang Tao , Chen Xu , Chen Qiang , Jiang Zhe
Published: October 2019

This paper addresses the problem of flexible and accurate global calibration for multiple non-overlapping vision sensors in a confined workspace. Instead of using an auxiliary calibration pattern, the proposed method uses one laser tracker and only its accessory target sphere to obtain all the 3D calibration points and then accomplish the initial estimation of pose between the vision sensors. Then, the 3D calibration points and the extrinsic parameters between vision sensors are further optimized via the bundle adjustment algorithm based on the distance and reprojection constraints. Experiments were conducted to validate the performance and the experimental results demonstrate that the distance error can be decreased from 3.5 mm to 0.8 mm after introducing the distance and reprojection constraints.
Low-Cost Sensors State Estimation Algorithm for a Small Hand-Launched Solar-Powered UAV
Authors: Guo An , Zhou Zhou , Zhu Xiaoping , Bai Fan
Published: October 2019

In order to reduce the cost of the flight controller and improve the control accuracy of solar-powered unmanned aerial vehicle (UAV), three state estimation algorithms based on the extended Kalman filter (EKF) with different structures are proposed: Three-stage series, full-state direct and indirect state estimation algorithms. A small hand-launched solar-powered UAV without ailerons is used as the object with which to compare the algorithm structure, estimation accuracy, and platform requirements and application. The three-stage estimation algorithm has a position accuracy of 6 m and is suitable for low-cost small, low control precision UAVs. The precision of full-state direct algorithm is 3.4 m, which is suitable for platforms with low-cost and high-trajectory tracking accuracy. The precision of the full-state indirect method is similar to the direct, but it is more stable for state switching, overall parameters estimation, and can be applied to large platforms. A full-scaled electric hand-launched UAV loaded with the three-stage series algorithm was used for the field test. Results verified the feasibility of the estimation algorithm and it obtained a position estimation accuracy of 23 m.
A Novel Rotational Field Eddy Current Planar Probe with Two-Circular Sector Pickup Coils
Authors: Chen Guolong , Zhang Weimin , Jin Wuyin , Pang Weihan , Cao Zheng , Wang Kang , Song Zhibo
Published: October 2019

A new rotational field planar eddy current probe is proposed. The probe is combined with two orthogonal driver traces and a pickup coil that includes two-circular sector windings with series connection. Rotational eddy currents are induced by driver traces of the same amplitude and frequency, but fed with 90° phase different alternating exciting currents. An experimental demonstration using prototypes of the probes and artificial defects showed that the probe with a two-circular sector pickup coil is more sensitive for detecting the short defects than the probe with a circular pickup coil.
Two-Dimensional Augmented State–Space Approach with Applications to Sparse Representation of Radar Signatures
Authors: Wu Kejiang , Xu Xiaojian
Published: October 2019

In this work, we focus on sparse representation of two-dimensional (2-D) radar signatures for man-made targets. Based on the damped exponential (DE) model, a 2-D augmented state–space approach (ASSA) is proposed to estimate the parameters of scattering centers on complex man-made targets, i.e., the complex amplitudes and the poles in down-range and aspect dimensions. An augmented state–space approach is developed for pole estimation of down-range dimension. Multiple-range search strategy, which applies one-dimensional (1-D) state–space approach (SSA) to the 1-D data for each down-range cell, is used to alleviate the pole-pairing problem occurring in previous algorithms. Effectiveness of the proposed approach is verified by the numerical and measured inverse synthetic aperture radar (ISAR) data.
Data-Analytics Modeling of Electrical Impedance Measurements for Cell Culture Monitoring
Authors: García Elvira , Pérez Pablo , Olmo Alberto , Díaz Roberto , Huertas Gloria , Yúfera Alberto
Published: October 2019

High-throughput data analysis challenges in laboratory automation and lab-on-a-chip devices’ applications are continuously increasing. In cell culture monitoring, specifically, the electrical cell-substrate impedance sensing technique (ECIS), has been extensively used for a wide variety of applications. One of the main drawbacks of ECIS is the need for implementing complex electrical models to decode the electrical performance of the full system composed by the electrodes, medium, and cells. In this work we present a new approach for the analysis of data and the prediction of a specific biological parameter, the fill-factor of a cell culture, based on a polynomial regression, data-analytic model. The method was successfully applied to a specific ECIS circuit and two different cell cultures, N2A (a mouse neuroblastoma cell line) and myoblasts. The data-analytic modeling approach can be used in the decoding of electrical impedance measurements of different cell lines, provided a representative volume of data from the cell culture growth is available, sorting out the difficulties traditionally found in the implementation of electrical models. This can be of particular importance for the design of control algorithms for cell cultures in tissue engineering protocols, and labs-on-a-chip and wearable devices applications.
Temporal and Spectral Optimization of Vegetation Indices for Estimating Grain Nitrogen Uptake and Late-Seasonal Nitrogen Traits in Wheat
Authors: Prey Lukas , Schmidhalter Urs
Published: October 2019

Grain nitrogen (N) uptake (GNup) in winter wheat (Triticum aestivum L.) is influenced by multiple components at the plant organ level and by pre- and post-flowering N uptake (Nup). Although spectral proximal high-throughput sensing is promising for field phenotyping, it was rarely evaluated for such N traits. Hence, 48 spectral vegetation indices (SVIs) were evaluated on 10 measurement days for the estimation of 34 N traits in four data subsets, representing the variation generated by six high-yielding cultivars, two N fertilization levels (N), two sowing dates (SD), and two fungicide (F) intensities. Close linear relationships (p < 0.001) were found for GNup both in response to cultivar differences (Cv; R2 = 0.52) and other agronomic treatments (R2 = 0.67 for Cv*F*N, R2 = 0.53 for Cv*SD*N and R2 = 0.57 for the combined treatments), notably during milk ripeness. Especially near-infrared (NIR)/red edge SVIs, such as the NDRE_770_750, outperformed NIR/visible light (VIS) indices. Index rankings and seasonal R2 values were similar for total Nup, while the N harvest index, which expresses the partitioning to the grain, was moderately estimated only during dough ripeness, primarily from indices detecting contrasting senescence between different fungicide intensities. Senescence-sensitive indices, including R787_R765 and TRCARI_OSAVI, performed best for N translocation efficiency and some organ-level N traits at maturity. Even though grain N concentration was best assessed by the red edge inflection point (REIP), the blue/green index (BGI) was more suited for leaf-level N traits at anthesis. When SVIs were quantitatively ranked by data subsets, a better agreement was found for GNup, total Nup, and grain N concentration than for several contributing N traits. The results suggest (i) a good general potential for estimating GNup and total Nup by (ii) red edge indices best used (iii) during milk and early dough ripeness. The estimation of contributing N traits differs according to the agronomic treatment.
A Systematic Methodology to Analyze the Impact of Hand-Rim Wheelchair Propulsion on the Upper Limb
Authors: Larraga-García Blanca , Lozano-Berrio Vicente , Gutiérrez Álvaro , Gil-Agudo Ángel , del-Ama Antonio
Published: October 2019

Manual wheelchair propulsion results in physical demand of the upper limb extremities that, because of its repetitive nature, can lead to chronic pathologies on spinal cord injury patients. The aim of this study was to design and test a methodology to compare kinematic and kinetic variables of the upper limb joints when propelling different wheelchairs. Moreover, this methodology was used to analyze the differences that may exist between paraplegic and tetraplegic patients when propelling two different wheelchairs. Five adults with paraplegia and five adults with tetraplegia performed several propulsion tests. Participants propelled two different wheelchairs for three minutes at 0.833 m/s (3 km/h) with one minute break between the tests. Kinematic and kinetic variables of the upper limb as well as variables with respect to the propulsion style were recorded. Important differences in the kinetic and kinematic variables of the joints of the upper limb were found when comparing paraplegic and tetraplegic patients. Nevertheless, this difference depends on the wheelchair used. As expected, in all tests, the shoulder shows to be the most impacted joint.
Slot Self-Allocation Based MAC Protocol for Energy Harvesting Nano-Networks
Authors: Wang Wan-Liang , Wang Chao-Chao , Yao Xin-Wei
Published: October 2019

Nano-networks are composed of interconnected nano-nodes and can enable unprecedented applications in various fields. Due to the peculiarities of nano-networks, such as high density, extremely limited energy and computational resources, traditional carrier-sensing based Media Access Control (MAC) protocols are not suitable for nano-networks. In this paper, a Slot Self-Allocation based MAC protocol (SSA-MAC) is proposed for energy harvesting nano-networks. Two transmission schemes for centralized and distributed nano-networks are designed, respectively. In centralized nano-networks, nano-nodes can only send packets to the nano-controller in their Self-Allocation Slots (SASs), while, in distributed nano-networks, nano-nodes can only receive packets from surrounding nano-nodes in their SASs. Extensive simulations were conducted to compare the proposed SSA-MAC with PHysical LAyer aware MAC (PHLAME), Receiver-Initiated Harvesting-aware MAC (RIH-MAC) and Energy Efficient Wireless NanoSensor Network MAC (EEWNSN). From the results, it can be concluded that the proposed SSA-MAC achieves better performance and can reduce the collision probability, while improving the energy efficiency of nano-networks.
Robust Analysis of PM2.5 Concentration Measurements in the Ecuadorian Park La Carolina
Authors: Hernandez Wilmar , Mendez Alfredo , Diaz-Marquez Angela Maria , Zalakeviciute Rasa
Published: October 2019

In this article, a robust statistical analysis of particulate matter (PM2.5) concentration measurements is carried out. Here, the region chosen for the study was the urban park La Carolina, which is one of the most important in Quito, Ecuador, and is located in the financial center of the city. This park is surrounded by avenues with high traffic, in which shopping centers, businesses, entertainment venues, and homes, among other things, can be found. Therefore, it is important to study air pollution in the region where this urban park is located, in order to contribute to the improvement of the quality of life in the area. The preliminary study presented in this article was focused on the robust estimation of both the central tendency and the dispersion of the PM2.5 concentration measurements carried out in the park and some surrounding streets. To this end, the following estimators were used: (i) for robust location estimation: α-trimmed mean, trimean, and median estimators; and (ii) for robust scale estimation: median absolute deviation, semi interquartile range, biweight midvariance, and estimators based on a subrange. In addition, nonparametric confidence intervals were established, and air pollution levels due to PM2.5 concentrations were classified according to categories established by the Quito Air Quality Index. According to these categories, the results of the analysis showed that neither the streets that border the park nor the park itself are at the Alert level. Finally, it can be said that La Carolina Park is fulfilling its function as an air pollution filter.
Towards Older Adults Cognitive and Emotional Stimulation via Robotic Cognitive Games
Authors: Cesário Patrícia , Santos Samuel , Lourenço Bernardo , Martins Inês , Gonçalves Paulo J. S.
Published: October 2019

The paper presents and discusses a framework to promote older adults cognitive and emotional stimulation via Robotic Cognitive Games. The work is based on classic games for older adults, e.g., to place objects in pre-defined positions in an arena, where the authors introduce a robot in the games. The paper not only presents the robotic games, but also the methodology developed to properly introduce them to older adults in a nursing home. As such, the paper proposes three cognitive robotic games, a methodology to assess the success of its introduction to older adults, keeping in mind cognitive and emotional aspects. To validate the proposed robotic solution, experimental tests were performed in a nursing home. A prior cognitive and emotional test was done with older adults to have a ground truth to compare with after a batch of games was completed by each older adult. The results and their discussion validate the robotic games approach, and also the methodology used for its introduction in the nursing home.
Finding a Suitable Niche for Cultivating Cactus Pear (Opuntia ficus-indica) as an Integrated Crop in Resilient Dryland Agroecosystems of India
Authors: Acharya Prasenjit , Biradar Chandrashekhar , Louhaichi Mounir , Ghosh Surajit , Hassan Sawsan , Moyo Hloniphani , Sarker Ashutosh
Published: October 2019

Climate change poses a significant threat to agroecosystems, especially in the dry areas, characterized by abrupt precipitation pattern and frequent drought events. Ideal crops, tolerant to these events, such as cactus, can perform well under such changing climatic conditions. This study spatially maps land suitability for cactus (Opuntia ficus-indica) cultivation in India using the analytical hierarchical process (AHP). Nine essential growth factors that include the climate and edaphic components were considered for the period 2000 to 2007. About 32% of the total geographic area of the country is in the high to moderate suitable category. Remaining 46% falls under the marginally suitable and 22% under the low to very low suitable category. The suitability analysis, based on the precipitation anomaly (2008–2017), suggests a high probability of cactus growth in the western and east-central part of India. The relationship with aridity index shows a decreasing rate of suitability with the increase of aridity in the western and east-central provinces (β~−1 to −2). We conclude that integrating cactus into dryland farming systems and rangelands under changing climate can be one plausible solution to build resilient agro-ecosystems that provide food and fodder while enhancing the availability of ecosystem services.
Estimating Public Charging Demand of Electric Vehicles
Authors: Hardinghaus Michael , Seidel Christian , Anderson John E.
Published: October 2019

Electric vehicles require sufficient public charging infrastructure. This in turn necessitates detailed information on charging demand. In this paper we present a four-step approach to estimating public charging demand of electric vehicles. Previous methods are limited in their ability to provide differentiated results and adapt to future developments. Therefore, we account for user groups (private, carsharing, commercial), technical developments (vehicles, infrastructure), infrastructure availability, and carsharing development (operational area, business models, autonomous vehicles). Our approach also considers the interactions between these factors and allows for scenario analysis yielding the quantity and spatial distribution of public charging demand. We demonstrate our approach for Berlin, Germany. We find that the majority of public charging demand results from carsharing. This demand is concentrated in the city center, even when carsharing is available citywide. Public charging demand for commercial users is relatively low and located outside the city center. For private users, public charging demand shifts to the city center with an increasing market penetration of electric vehicles and technological advancements (increased range, charging speed). Public demand from private users increases dramatically when private infrastructure is absent. Finally, public charging demand shifts to the city center when private users do not have private infrastructure.
The Root Extraction Problem for Generic Braids
Authors: Cumplido María , González-Meneses Juan , Silvero Marithania
Published: October 2019

We show that, generically, finding the k-th root of a braid is very fast. More precisely, we provide an algorithm which, given a braid x on n strands and canonical length l, and an integer k > 1 , computes a k-th root of x, if it exists, or guarantees that such a root does not exist. The generic-case complexity of this algorithm is O ( l ( l + n ) n 3 log n ) . The non-generic cases are treated using a previously known algorithm by Sang-Jin Lee. This algorithm uses the fact that the ultra summit set of a braid is, generically, very small and symmetric (through conjugation by the Garside element Δ ), consisting of either a single orbit conjugated to itself by Δ or two orbits conjugated to each other by Δ .
Utilización de marcadores bioquímicos como método no invasivo en la determinación de la viabilidad embrionaria en Fertilización In-Vitro
Authors: Alfaro Jannin , Bustamante Pamela , Duarte Alex , Fernández Priscila , Nuñez Sofia , Zúñiga Jeannethe
Published: October 2019

Actualmente se ha optado por la implementación de la metabolómica en la fertilización in vitro como un método no invasivo para determinar la viabilidad de los embriones, utilizando la medición de productos secretados o consumidos por el embrión en su medio de cultivo. Investigaciones realizadas han comprobado que moléculas como los carbohidratos, aminoácidos, entre otras, se pueden utilizar como marcadores bioquímicos, ya que se han relacionado con un buen desarrollo del embrión.
Sistem Informasi Layanan Konseling Berbasis Blended Learning Pada SMK PGRI Pekanbaru
Authors: Junadhi Junadhi , Syaifullah Muhammad
Published: October 2019

Sistem Informasi Layanan Konseling berbasis blended learning adalah layanan bimbingan dan konseling yang mengkombinasikan tiga sumber yaitu: tatap muka, offline, dan online. Penelitian ini bertujuan untuk mendeskripsikan kebutuhan siswa terhadap layanan konseling secara kombinasi (blended) untuk pengembangan karakter. Sistem yang dirancang menggunakan bahasa pemrograman PHP dan penyimpanan data dengan database MySQL. Metode yang digunakan dalam perancangan sistem ini adalah Waterfall model. Pemodelan sistem ini menggunakan bahasa UML (Unified Modelling Language). Penelitian ini dilakukan pada SMK PGRI Pekanbaru. Hasil penelitian menunjukkan bahwa penggunaan sistem informasi layanan konseling berbasis blended learning dapat membentuk karakter siswa yang dapat dikembangkan melalui beragam kegiatan dan sebagai bentuk pemberian layanan konseling modern yang menerapkan teknologi informasi yang tidak terbatas waktu dan tempat.
Efecto de un programa alternativo para el tratamiento de anemia por deficiencia de hierro en niños y niñas a 12 a 35 meses de edad, centro de salud Alto Selva Alegre, Arequipa 2015.
Authors: Núñez Chávez Josefina Sonia , Quispe Machaca Edith Sulma
Published: October 2019

El estudio trata sobre el uso de lo germinados como alternativa para el tratamiento de la anemia por déficit de fierro en niñas y niños a 12 a 35 meses de edad, ya que el uso de suplementos de fierro les ocasiona molestias, como estreñimiento. Teniendo la finalidad que al introducir en la alimentación diaria de los niños el consumo de germinados ricos en hierro, disponibles en el mercado, como alfalfa, lenteja y trigo se eleven los niveles de hemoglobina. Se seleccionó dos grupos de niños: uno experimental que abandonaron el tratamiento con suplementos de fierro y en su lugar consumen germinados; a quienes se les hizo seguimiento de la alimentación con la aplicación de un cuestionario antes y al final del tratamiento; para la preparación, uso y consumo de los germinados una guía de observación aplicada a traves de la visita a domicilio. Talleres demostrativos con entrega de folletos educativos para la preparación de germinados. Al grupo control se hizo el seguimiento en consultorio de crecimiento y desarrollo del niño, con entrega de sulfato ferroso y/o multimicronutrientes. Ambos grupos se les controlo el nivel de hemoglobina en sangre en tres momentos, al inicio, durante y al finalizar la investigación. La valoración de ferritina solo se realizó al grupo experimental al inicio y al final de tratamiento con germinados.Para el análisis estadístico prueba Chi cuadrado, T student y percentajes. Obteniendo como resultados que los niños y niñas con diagnóstico de anemia por deficiencia de fierro, que consumieron los germinados, elevaron su valor promedio de hemoglobina, recuperando su estado normal; su efectividad se demostró con su uso y consumo de una cucharada tres veces al día, picados y acompañados con otros alimentos. Siendo el germinado mejor tolerado el de alfalfa. La supervisión a través de la visita domiciliaria, de la preparación de los germinados, aseguró el consumo de los mismos.
Major Developments in EDM Surface Alloying using Composite Material Tool Electrode
Authors:   Mechanical Engineering Department, UIET, Panjab University, Chandigarh, India., Goyal* Parveen
Published: October 2019

Electric Discharge alloying/Coating (EDC) is an emerging field for the surface modification of advanced engineering materials like tool steel, high heat resistance alloy, titanium alloy etc. The advanced engineering materials have good mechanical properties and are used for the engineering applications like dies, aerospace, and automotives. To treat these difficult-to-machine advanced engineering materials with new challenges, numerous advancements in electrical discharge machining (EDM) processes have been carried out. Electrode materials for EDM are usually made up of copper, and its alloys. Proper selection with composition of electrode materials are required to avoid cracks, residual stresses etc during or after Electrical Discharge Machining and at the same time to have better surface finish and material removal rate and lower tool wear rate of the electrode. Further electrodes can be prepared by different methods like powder metallurgy, stir casting technique etc. This paper presents the brief details of effect of different electrodes on the surface and machining characteristics.
Inquiry on Mechanical Properties of M30 Grade Concrete with Partial Replacement of Copper Slag and Dolomite Powder for Fine Aggregate and Cement
Authors:   Department of Civil Engineering, Gokaraju Rangraju institute of Engineering and Technology, Hyderabad, India,, Satyanarayana* Dr. G.V.V , Yashwanth K. ,   Department of Civil Engineering, Gokaraju Rangaraju institute of Engineering and Technology, Hyderabad, India
Published: October 2019

Concrete plays an important role in every construction. This paper is an experimental investigation to study the mechanical properties of the concrete with partial replacement of cement by dolomite powder and fine aggregate by copper slag. So, in this investigation, by usage of Dolomite powder in concrete on one side improves density and other side improves strength and hardness. Copper slag also increases density of concrete and toughness of concrete. The cement content replaced with dolomite and fine aggregate replaced with copper slag from 5% to 25% at regular intervals of 5%. In the designed mix proportion of M30 grade concrete is 1:2.17:2.95. The Superplasticizer Master Rheobuild 920SH of 0.5% dosage used as chemical admixture is added to the concrete to maintain 0.45 the water-cement ratio. The concrete cubes, cylinders were casted. The different mechanical properties like compressive strength, split tensile strength, flexural strength were tested after 3 days, 7 days and 28 days of curing from 5 to 25% at regular intervals of 5% replacement of cement with dolomite powder and 10% to 50% at regular intervals of 10% replacement of fine aggregate with copper slag.
Consumer Purchase Behavior of Eco-Fashion Clothes As a Trend to Reduce Clothing Waste
Authors:   Department of Design Technology, Faculty of Applied and Creative Arts, UNIMAS, Sarawak, Malaysia., Jalil* Marzie Hatef , Shaharuddin Siti Shukhaila ,   Department of Design Technology, Faculty of Applied and Creative Arts, UNIMAS, Sarawak, Malaysia.
Published: October 2019

Eco-fashion clothes offer considerable promise to reduce clothing waste associated with improving consumer profits and the health of the community. The aim of this paper is to explore the consumer purchase behaviour toward Eco-fashion clothes made of recycled materials. The clothing waste is increasing each year and there is a lack of landfill sites for disposing of them. This resulted in governments encourage industries markets to recycle more. However, it is necessary to support the clothing recycling technology program, and the achievement of those markets depends on consumer demand for these products. Hence, understanding consumer behaviour toward Eco-fashion clothes made of recycled materials can provide a basis to develop effective guidelines for disposal and purchase recycled clothes. This study applied the Theory of Planned Behaviour (TPB) as the foundation of the consumer’s behaviour. A two-stage mixed-method approach was explored. Statistical analysis was commenced through direct logistic regression. The model was tested via structural equation modelling (PLS-SEM). Overall, findings reveal that the most significant factor on purchase intention of Eco-fashion clothes is the positive attitude which was followed by the perceived behavioural control and then subjective norms on the construct intention. Furthermore, there is a strong connection to sustainable disposal clothing behaviour and purchase behaviour toward Eco-fashion clothes. Hence, strengthening people attitude in order to purchase Eco-fashion clothes made of recycled contents as a sustainable trend is applicable to help reduction of clothing waste. This happens when people’s need is along with these clothes. The implications of this study can be examined from an educational and managerial perspective to form an effective strategy to encourage an increased rate in the disposal of clothing toward recycling and development policies to improve recycling technology programs. Therefore, it can lead to produce clothes made of recycled materials based on the consumer's needs and distribute them in the fashion market.
Modelling of On-Site Stormwater Detention Underneath a Car Porch
Authors:   Department of Civil Engineering, University Malaysia Sarawak (UNIMAS), Kota Samarahan, 94300 Sarawak, Malaysia, King NGU* Johnny Ong , Seng MAH Darrien Yau ,   Department of Civil Engineering, University Malaysia Sarawak (UNIMAS), Kota Samarahan, 94300 Sarawak, Malaysia., Vern LIOW Ching ,   Setia Dimaju Sdn Bhd, No. 2A, Lorong Laichee 1, 96000 Sibu, Sarawak, Malaysia., NGU Ik Tung ,   ITN Construction Sdn Bhd, No. 2A, (1st Floor), Lorong Laichee 1, 96000 Sibu, Sarawak, Malaysia.
Published: October 2019

This study focuses on the possibility of On-Site Stormwater Detention (OSD) underneath a residential car porch. The space provided in the car porch area can be made good of it by introducing an OSD beneath it to temporary store stormwater from roof during raining in hoping of reducing the surface runoff. The OSD is subjected to 15-minute, 10-year Average Recurrence Interval (ARI) design rainfall. This process in urban hydrology is presented by using Storm Water Management Model (SWMM). Efficiency of the OSD is also investigated by different number of orifice outlets. Modelling efforts report that one orifice outlet is preferable, and it marks approximate 95% discharge reduction at the outfall.
Handling Mislaid/Missing Data to Attain Data Trait
Authors:   Research Scholar, Department of Computer and Information Technology , Manav Rachna International University, Faridabad, Haryana, India., Jolly Ms. Sakshi , Gupta* Dr. Neha ,   PhD, Department of Computer and Information Technology, Manav Rachna International University, Faridabad, Haryana, India.
Published: October 2019

Missing data are depicted as a piece of the qualities in the educational accumulation are either lost or not seen or not open because of customary or non typical reasons. Information with missing characteristics befuddles both the information examination and the convenience of a response for new information. Various experts are dealing with this issue to introduce increasingly present day methods. Notwithstanding the way that different frameworks are available, specialists are confronting burden in searching for a reasonable technique in perspective on non appearance of information about the methodology and their suitability. This investigation paper additionally arranges a formal review of the missing data framework. It examines the strategies that are dismembered in the made works and observations that the makers have made.
Academic Management Android Application For Student Performance Analytics: A Comprehensive Evaluation Using Iso 25010:2011
Authors:   Full-time faculty member of City College of Calamba under Information Technology Department, Manglapuz* Sharmaine Justyne R. , Lacatan* Luisito Lolong ,   DEAN of the College of Engineering in AMA UNIVERSITY, Proj. 8, Quezon City Philippines
Published: October 2019

Software quality standards are very significant matters nowadays, especially that this era reigns with software technology and systems to innovate the work process in any institution. Assessments are conducted to measure the quality of services as well as products. This paper focuses on the comparison of the assessment of an existing alumni tracer system and online student portal using ISO/IEC 25010 model, but only seven dimensions was used namely functional suitability, performance efficiency, usability, reliability, security, maintainability and portability. Twenty I.T. experts were invited to test the existing systems and fill in the survey. The results as describe in this paper shows the significant differences of systems as evaluated by the respondents using the ISO/IEC 25010 model. Performance Assessment is very vital to the academic progress of a student. It should be monitored, and evaluated to allow both professors and students create pre-emptive measures to ensure their success rate. This paper focuses on the assessment of the developed system using ISO 25010:2011 Software Quality Management. The following criteria were used Functionality, Usability, Reliability, Portability and Security. 84 respondents comprising of Professors, Department Heads and IT Professionals assessed and evaluated the system through the use of an adapted evaluation tool. The results shown in this paper shows the evaluation of the respondents to the developed system.
A New Numerical Method to Solve Non Linear Fractional Differential Equations
Authors:   Department of Mathematics, Poornima University, Jaipur, India, Mistry* Lalita , Khan A. M. ,   Department of Mathematics, Jodhpur Institute of Engineering & Technology, Jodhpur, India, Suthar D. L. ,   Department of Mathematics, Wollo University, Dessie, Amhara, Ethiopia, Kumar Dinesh ,   Department of Mathematics, J.N.V.U Jodhpur, India.
Published: October 2019

In the present paper a new approximate analytical method, the homotopy perturbation and natural transform method namely HPNT is introduced that is blend of the homotopy perturbation method and natural transform method. The proposed method is applied for solution of the non-linear Fokker Planck equation of time fractional order. The correctness and efficacy of the proposed method is verified through graphical method and error analysis.
Calculating Effective Product Marketing on E-Commerce Applications based on Customer Rating using big data
Authors:   Associate Professor, Department of Computer Science and Engineering, School of Information Technology and Engineering, VIT-Vellore Institute of Technology, Vellore, (Tamil Nadu), India., Vijayan*  , Mareeswari V ,   Assistant Professor (Senior), Department of Computer Science and Engineering, School of Information Technology and Engineering (SITE), Vellore Institute of Technology (VIT), Vellore, (Tamil Nadu), India., Navaneethan C ,   Associate Professor, Department of Computer Science and Engineering, VIT, Vellore, (Tamil Nadu), India., Prasanna S ,   Associate Professor at School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, (Tamil Nadu), India., Yaswanth K ,   School of Information Technology and Engineering (SITE), Vellore Institute of Technology (VIT), Vellore, (Tamil Nadu), India.
Published: October 2019

While purchasing online products, our priority is to consider online rating regarding the product. Based on the customer rating of products it can be possible to determine their lifetime, sales and that impacts the ability to be maintained at a certain rate or level of a product in the market. The rating is considered as datasets where they are being extracted from E-Commerce websites. In specific, consider the review content, product ratings and divide product lifetime. While collecting the relevant information from our review data we consider the data into two categories as positive data and negative data. When a user posted a review, we consider the keywords to state the review was good or bad and their rating behaviors, these extracted scores can be correlated with their rating with product popularity. The product popularity can be considered by the total number of purchases of the product and the rating given to the product. It also can be analyzed by product ratings that indicate that raters’ ratings are likely to influence product popularity. Taking different e-commerce datasets to extract review content and obtaining relevant information from the review data can analyze and predict the product's early raters and product marketing.