bluuebunny/crossref_metadata_2025 huggingface dataset:
Relative Contributions of Solubility and Mobility to the Stability of Amorphous Solid Dispersions of Poorly Soluble Drugs: A Molecular Dynamics Simulation Study
Authors: Brunsteiner Michael , Khinast Johannes , Paudel Amrit
Published: July 2018

Amorphous solid dispersions are considered a promising formulation strategy for the oral delivery of poorly soluble drugs. The limiting factor for the applicability of this approach is the physical (in)stability of the amorphous phase in solid samples. Minimizing the risk of reduced shelf life for a new drug by establishing a suitable excipient/polymer-type from first principles would be desirable to accelerate formulation development. Here, we perform Molecular Dynamics simulations to determine properties of blends of eight different polymer–small molecule drug combinations for which stability data are available from a consistent set of literature data. We calculate thermodynamic factors (mixing energies) as well as mobilities (diffusion rates and roto-vibrational fluctuations). We find that either of the two factors, mobility and energetics, can determine the relative stability of the amorphous form for a given drug. Which factor is rate limiting depends on physico-chemical properties of the drug and the excipients/polymers. The methods outlined here can be readily employed for an in silico pre-screening of different excipients for a given drug to establish a qualitative ranking of the expected relative stabilities, thereby accelerating and streamlining formulation development.
What Is a Formulary, Anyway? Part 2
Authors: Parrish Richard H.
Published: July 2018

This paper is a continuation of the first paper on drug formularies. It details the various types of formularies, and speculates on the future of formularies as an instrument for improving rational drug therapy.
Young Muslim Women Living with Asthma in Denmark: A Link between Religion and Self-Efficacy
Authors: Druedahl Louise C. , Yaqub Duaa , Nørgaard Lotte Stig , Kristiansen Maria , Cantarero-Arévalo Lourdes
Published: July 2018

Asthma is a chronic respiratory disease that can be controlled with appropriate medicinal treatment. Adherence to pharmacological treatment is therefore critical. Self-efficacy plays a key role in adherence to medicine in chronic diseases, including asthma. Additionally, ethnic minorities have poor adherence to medicines. However, the impact of religion on self-efficacy and adherence is understudied. Therefore, the aim of this study was to explore the role of self-efficacy in adherence to asthma medicine treatment and the influence of religion on self-efficacy among young, Muslim minority women. A focus group and individual interviews with 10 Muslim minority women (14–24 years of age) living in Denmark were conducted. Data analysis was deductive using Bandura’s theory of self-efficacy and modes of agency. Overall, religion was shown to affect self-efficacy. The women reported changes in self-perceived self-efficacy during the holy month of Ramadan. In addition, praying was used as an alternative to medicine for controlling asthma symptoms. However, the women did not perceive religion and treating asthma with medicine as mutually exclusive, but rather as coexisting for the shared goal of controlling asthma symptoms. It is important for healthcare professionals (HCPs) to be aware of the link between self-efficacy, religion and adherence to asthma medicine treatment. This awareness can aid HCPs in giving advice regarding adherence to asthma treatment, and when monitoring treatment to improve the quality of asthma care for young Muslim minority women.
Pilot Study on the Utility and Feasibility of a House-Call Checkup of the Medicine Cabinet
Authors: Janssen Lore , Pieters Luc , De Loof Hans
Published: July 2018

The storage at home of medicines is a poorly researched topic, but it can be a major source of medication errors and other unsafe practices. In this pilot-study, we wanted to get an idea of the scope of the problem and research the feasibility and acceptability of a home-based intervention by a pharmacist. In a convenience sample of 48 households, we encountered numerous problems in a sizable percentage of households. Medicines were frequently not stored out of reach of children, usage instructions and indications were unknown, organization was absent, and there were a plethora of expired medicines present. Refrigeration was less of a problem. Acceptability and perception of utility of the intervention were generally very high. We developed a protocol-based intervention to be used in future research to increase the safe use of medicines at home.
Bare Feet and Sacred Ground: “Viṣṇu Was Here”
Authors: Nugteren Albertina
Published: July 2018

The meaning of a symbol is not intrinsic and should best be seen in relation to the symbolic order underlying it. In this article we explore the ritual complexities pertaining to the body’s most lowly and dirty part: the feet. On entering sacred ground persons are admonished to take off their footwear. In many parts of Asia pointing one’s feet in the direction of an altar, one’s teacher or one’s elders is considered disrespectful. Divine feet, however, are in many ways focal points of devotion. By reverently bowing down and touching the feet of a deity’s statue, the believer acts out a specific type of expressive performance. The core of this article consists of a closer look at ritualized behavior in front of a particular type of divine feet: the natural ‘footprint’ (viṣṇupāda) at Gayā, in the state of Bihar, India. By studying its ‘storied’ meaning we aspire to a deepened understanding of the ‘divine footprint’ in both its embodiedness and embeddedness. Through a combination of approaches—textual studies, ritual studies, ethnography—we emplace the ritual object in a setting in which regional, pan-Indian, and even cosmogonic myths are interlocked. We conclude that by an exclusive focus on a single ritual object—as encountered in a particular location—an object lesson about feet, footsteps, foot-soles, and footprints opens up a particular ‘grammar of devotion’ in terms of both absence and presence.
Robust Interval Type-2 Fuzzy Sliding Mode Control Design for Robot Manipulators
Authors: Nafia Nabil , El Kari Abdeljalil , Ayad Hassan , Mjahed Mostafa
Published: July 2018

This paper develops a new robust tracking control design for n-link robot manipulators with dynamic uncertainties, and unknown disturbances. The procedure is conducted by designing two adaptive interval type-2 fuzzy logic systems (AIT2-FLSs) to better approximate the parametric uncertainties on the system nominal. Then, in order to achieve the best tracking control performance and to enhance the system robustness against approximation errors and unknown disturbances, a new control algorithm, which uses a new synthesized AIT2 fuzzy sliding mode control (AIT2-FSMC) law, has been proposed. To deal with the chattering phenomenon without deteriorating the system robustness, the AIT2-FSMC has been designed so as to generate three adaptive control laws that provide the optimal gains value of the global control law. The adaptation laws have been designed in the sense of the Lyapunov stability theorem. Mathematical proof shows that the closed loop control system is globally asymptotically stable. Finally, a 2-link robot manipulator is used as case study to illustrate the effectiveness of the proposed control approach.
SfM-Based Method to Assess Gorgonian Forests (Paramuricea clavata (Cnidaria, Octocorallia))
Authors: Palma Marco , Rivas Casado Monica , Pantaleo Ubaldo , Pavoni Gaia , Pica Daniela , Cerrano Carlo
Published: July 2018

Animal forests promote marine habitats morphological complexity and functioning. The red gorgonian, Paramuricea clavata, is a key structuring species of the Mediterranean coralligenous habitat and an indicator species of climate effects on habitat functioning. P. clavata metrics such as population structure, morphology and biomass inform on the overall health of coralligenous habitats, but the estimation of these metrics is time and cost consuming, and often requires destructive sampling. As a consequence, the implementation of long-term and wide-area monitoring programmes is limited. This study proposes a novel and transferable Structure from Motion (SfM) based method for the estimation of gorgonian population structure (i.e., maximal height, density, abundance), morphometries (i.e., maximal width, fan surface) and biomass (i.e., coenenchymal Dry Weight, Ash Free Dried Weight). The method includes the estimation of a novel metric (3D canopy surface) describing the gorgonian forest as a mosaic of planes generated by fitting multiple 5 cm × 5 cm facets to a SfM generated point cloud. The performance of the method is assessed for two different cameras (GoPro Hero4 and Sony NEX7). Results showed that for highly dense populations (17 colonies/m2), the SfM-method had lower accuracies in estimating the gorgonians density for both cameras (60% to 89%) than for medium to low density populations (14 and 7 colonies/m2) (71% to 100%). Results for the validation of the method showed that the correlation between ground truth and SfM estimates for maximal height, maximal width and fan surface were between R2 = 0.63 and R2 = 0.9, and R2 = 0.99 for coenenchymal surface estimation. The methodological approach was used to estimate the biomass of the gorgonian population within the study area and across the coralligenous habitat between −25 to −40 m depth in the Portofino Marine Protected Area. For that purpose, the coenenchymal surface of sampled colonies was obtained and used for the calculations. Results showed biomass values of dry weight and ash free dry weight of 220 g and 32 g for the studied area and to 365 kg and 55 Kg for the coralligenous habitat in the Marine Protected Area. This study highlighted the feasibility of the methodology for the quantification of P. clavata metrics as well as the potential of the SfM-method to improve current predictions of the status of the coralligenous habitat in the Mediterranean sea and overall management of threatened ecosystems.
TerraSAR-X Time Series Fill a Gap in Spaceborne Snowmelt Monitoring of Small Arctic Catchments—A Case Study on Qikiqtaruk (Herschel Island), Canada
Authors: Stettner Samuel , Lantuit Hugues , Heim Birgit , Eppler Jayson , Roth Achim , Bartsch Annett , Rabus Bernhard
Published: July 2018

The timing of snowmelt is an important turning point in the seasonal cycle of small Arctic catchments. The TerraSAR-X (TSX) satellite mission is a synthetic aperture radar system (SAR) with high potential to measure the high spatiotemporal variability of snow cover extent (SCE) and fractional snow cover (FSC) on the small catchment scale. We investigate the performance of multi-polarized and multi-pass TSX X-Band SAR data in monitoring SCE and FSC in small Arctic tundra catchments of Qikiqtaruk (Herschel Island) off the Yukon Coast in the Western Canadian Arctic. We applied a threshold based segmentation on ratio images between TSX images with wet snow and a dry snow reference, and tested the performance of two different thresholds. We quantitatively compared TSX- and Landsat 8-derived SCE maps using confusion matrices and analyzed the spatiotemporal dynamics of snowmelt from 2015 to 2017 using TSX, Landsat 8 and in situ time lapse data. Our data showed that the quality of SCE maps from TSX X-Band data is strongly influenced by polarization and to a lesser degree by incidence angle. VH polarized TSX data performed best in deriving SCE when compared to Landsat 8. TSX derived SCE maps from VH polarization detected late lying snow patches that were not detected by Landsat 8. Results of a local assessment of TSX FSC against the in situ data showed that TSX FSC accurately captured the temporal dynamics of different snow melt regimes that were related to topographic characteristics of the studied catchments. Both in situ and TSX FSC showed a longer snowmelt period in a catchment with higher contributions of steep valleys and a shorter snowmelt period in a catchment with higher contributions of upland terrain. Landsat 8 had fundamental data gaps during the snowmelt period in all 3 years due to cloud cover. The results also revealed that by choosing a positive threshold of 1 dB, detection of ice layers due to diurnal temperature variations resulted in a more accurate estimation of snow cover than a negative threshold that detects wet snow alone. We find that TSX X-Band data in VH polarization performs at a comparable quality to Landsat 8 in deriving SCE maps when a positive threshold is used. We conclude that TSX data polarization can be used to accurately monitor snowmelt events at high temporal and spatial resolution, overcoming limitations of Landsat 8, which due to cloud related data gaps generally only indicated the onset and end of snowmelt.
Inventory of Glaciers in the Shaksgam Valley of the Chinese Karakoram Mountains, 1970–2014
Authors: Alifu Haireti , Hirabayashi Yukiko , Johnson Brian Alan , Vuillaume Jean-Francois , Kondoh Akihiko , Urai Minoru
Published: July 2018

The Shaksgam Valley, located on the north side of the Karakoram Mountains of western China, is situated in the transition zone between the Indian monsoon system and dry arid climate zones. Previous studies have reported abnormal behaviors of the glaciers in this region compared to the global trend of glacier retreat, so the region is of special interest for glacier-climatological studies. For this purpose, long-term monitoring of glaciers in this region is necessary to obtain a better understanding of the relationships between glacier changes and local climate variations. However, accurate historical and up-to-date glacier inventory data for the region are currently unavailable. For this reason, this study conducted glacier inventories for the years 1970, 1980, 1990, 2000 and 2014 (i.e., a ~10-year interval) using multi-temporal remote sensing imagery. The remote sensing data used included Corona KH-4A/B (1965–1971), Hexagon KH-9 (1980), Landsat Thematic Mapper (TM) (1990/1993), Landsat Enhanced Thematic Mapper Plus (ETM+) (2000/2001), and Landsat Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) (2014/2015) multispectral satellite images, as well as digital elevation models (DEMs) from the Shuttle Radar Topography Mission (SRTM), DEMs generated from Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) images (2005–2014), and Advanced Land Observing Satellite (ALOS) World 3D 30 m mesh (AW3D30). In the year 2014, a total of 173 glaciers (including 121 debris-free glaciers) (>0.5 km2), covering an area of 1478 ± 34 km2 (area of debris-free glaciers: 295 ± 7 km2) were mapped. The multi-temporal glacier inventory results indicated that total glacier area change between 1970–2014 was not significant. However, individual glacier changes showed significant variability. Comparisons of the changes in glacier terminus position indicated that 55 (32 debris-covered) glaciers experienced significant advances (~40–1400 m) between 1970–2014, and 74 (32 debris-covered) glaciers experienced significant advances (~40–1400 m) during the most recent period (2000–2014). Notably, small glaciers showed higher sensitivity to climate changes, and the glaciers located in the western part of the study site were exhibiting glacier area expansion compared to other parts of the Shaksgam Valley. Finally, regression analyses indicated that topographic parameters were not the main driver of glacier changes. On the contrary, local climate variability could explain the complex behavior of glaciers in this region.
Ten Years of Experience with Scientific TerraSAR-X Data Utilization
Authors: Roth Achim , Marschalk Ursula , Winkler Karina , Schättler Birgit , Huber Martin , Georg Isabel , Künzer Claudia , Dech Stefan
Published: July 2018

This paper presents the first comprehensive review on the scientific utilization of earth observation data provided by the German TerraSAR-X mission. It considers the different application fields and technical capabilities to identify the key applications and the preferred technical capabilities of this high-resolution SAR satellite system from a scientific point of view. The TerraSAR-X mission is conducted in a close cooperation with industry. Over the past decade, scientists have gained access to data through a proposal submission and evaluation process. For this review, we have considered 1636 data utilization proposals and analyzed 2850 publications. In general, TerraSAR-X data is used in a wide range of geoscientific research areas comprising anthroposphere, biosphere, cryosphere, geosphere, and hydrosphere. Methodological and technical research is a cross-cutting issue that supports all geoscientific fields. Most of the proposals address research questions concerning the geosphere, whereas the majority of the publications focused on research regarding “methods and techniques”. All geoscientific fields involve systematic observations for the establishment of time series in support of monitoring activities. High-resolution SAR data are mainly used for the determination and investigation of surface movements, where SAR interferometry in its different variants is the predominant technology. However, feature tracking techniques also benefit from the high spatial resolution. Researchers make use of polarimetric SAR capabilities, although they are not a key feature of the TerraSAR-X system. The StripMap mode with three meter spatial resolution is the preferred SAR imaging mode, accounting for 60 percent of all scientific data acquisitions. The Spotlight modes with the highest spatial resolution of less than one meter are requested by only approximately 30 percent of the newly acquired TerraSAR-X data.
A Wearable Textile Thermograph
Authors: Lugoda Pasindu , Hughes-Riley Theodore , Morris Rob , Dias Tilak
Published: July 2018

In medicine, temperature changes can indicate important underlying pathologies such as wound infection. While thermographs for the detection of wound infection exist, a textile substrate offers a preferable solution to the designs that exist in the literature, as a textile is very comfortable to wear. This work presents a fully textile, wearable, thermograph created using temperature-sensing yarns. As described in earlier work, temperature-sensing yarns are constructed by encapsulating an off-the-shelf thermistor into a polymer resin micro-pod and then embedding this within the fibres of a yarn. This process creates a temperature-sensing yarn that is conformal, drapeable, mechanically resilient, and washable. This work first explored a refined yarn design and characterised its accuracy to take absolute temperature measurements. The influence of contact errors with the refined yarns was explored seeing a 0.24 ± 0.03 measurement error when the yarn was held just 0.5 mm away from the surface being measured. Subsequently, yarns were used to create a thermograph. This work characterises the operation of the thermograph under a variety of simulated conditions to better understand the functionality of this type of textile temperature sensor. Ambient temperature, insulating material, humidity, moisture, bending, compression and stretch were all explored. This work is an expansion of an article published in The 4th International Conference on Sensor and Applications.
Advanced SBAS-DInSAR Technique for Controlling Large Civil Infrastructures: An Application to the Genzano di Lucania Dam
Authors: Corsetti Marco , Fossati Fabrizio , Manunta Michele , Marsella Maria
Published: July 2018

Monitoring surface deformation on dams is commonly carried out by in situ geodetic surveying, which is time consuming and characterized by some limitations in space coverage and frequency. More recently microwave satellite-based technologies, such as advanced-DInSAR (Differential Synthetic Aperture Radar Interferometry), have allowed the integration and improvement of the observation capabilities of ground-based methods thanks to their effectiveness in collecting displacement measurements on many non-destructive control points, corresponding to radar reflecting targets. The availability of such a large number of points of measurement, which are distributed along the whole structure and are characterized by millimetric accuracy on displacement rates, can be profitably adopted for the calibration of numerical models. These models are implemented to simulate the structural behaviour of a dam under conditions of stress thus improving the ability to maintain safety standards. In this work, after having analysed how advanced DInSAR can effectively enhance the results from traditional monitoring systems that provide comparable accuracy measurements on a limited number of points, an FEM model of the Genzano di Lucania earth dam is developed and calibrated. This work is concentrated on the advanced DInSAR technique referred to as Small BAseline Subset (SBAS) approach, benefiting from its capability to generate deformation time series at full spatial resolution and from multi-sensor SAR data, to measure the vertical consolidation displacement of the Genzano di Lucania earth dam.
A Colorimetric Probe Based on Functionalized Gold Nanorods for Sensitive and Selective Detection of As(III) Ions
Authors: Ge Kun , Liu Jingmin , Fang Guozhen , Wang Peihua , Zhang Dongdong , Wang Shuo
Published: July 2018

A colorimetric probe for determination of As(III) ions in aqueous solutions on basis of localized surface plasmon resonance (LSPR) was synthesized. The dithiothreitol molecules with two end thiols covalently combined with Au Nanorods (AuNRs) with an aspect ratio of 2.9 by Au-S bond to form dithiothreitol coated Au Nanorods (DTT-AuNRs), acting as colorimetric probe for the determination of As(III) ions. With the adding of As(III) ions, the AuNRs will be aggregated and leading the longitudinal SPR absorption band of DTT-AuNRs decrease due to the As(III) ions can bind with three DTT molecules through an As-S linkage. The potential factors affect the response of DTT-AuNRs to As(III) ions including the concentration of DTT, pH values of DTT-AuNRs, reaction time and NaCl concentration were optimized. Under optimum assay conditions, the DTT-AuNRs colorimetric probe has high sensitivity towards As(III) ions with low detection limit of 38 nM by rules of 3σ/k and excellent linear range of 0.13–10.01 μM. The developed colorimetric probe shows high selectivity for As(III) ions sensing and has applied to determine of As(III) in environmental water samples with quantitative spike-recoveries range from 95.2% to 100.4% with low relative standard deviation of less than 4.4% (n = 3).
A 2D Magneto-Acousto-Electrical Tomography Method to Detect Conductivity Variation Using Multifocus Image Method
Authors: Dai Ming , Chen Xin , Sun Tong , Yu Lingyao , Chen Mian , Lin Haoming , Chen Siping
Published: July 2018

As magneto-acoustic-electrical tomography (MAET) combines the merits of high contrast and high imaging resolution, and is extremely useful for electrical conductivity measurement, so it is expected to be a promising medical imaging modalities for diagnosis of early-stage cancer. Based on the Verasonics system and the MC600 displacement platform, we designed and implemented a MAET system with a chirp pulse stimulation (MAET-CPS) method and a focal probe was utilized for stepscan focus excitation to enhance the imaging resolution. The relevant experiments were conducted to explore the influence of excitation positions of the single-focus point, and the effect of the excitation position on the amplitudes of the conductivity variation was clearly demonstrated. In order to take advantage of the merits of multifocus imaging, we firstly proposed a single focus MAET system with a chirp pulse stimulation (sfMAET-CPS) method and a multifocus MAET system with a chirp pulse stimulation (mfMAET-CPS) method for high-resolution conductivity imaging, and a homogenous gelatin phantom with a cuboid-shaped hole was used to investigate the accuracy of mfMAET-CPS. Comparative experiments were carried out on the same uniform phantom by the sfMAET-CPS and the mfMAET-CPS, respectively. The results showed that: (1) the electrical conductivity distributions of the homogenous phantom with a cuboid-shaped hole were detected by the sfMAET-CPS but were easily affected by the focal point, which demonstrated that the sfMAET-CPS had a low imaging resolution. (2) Compared with the sfMAET-CPS, the imaging effect of the mfMAET-CPS was much better than that of the sfMAET-CPS. (3) A linear interpolation algorithm was used to process the 2D conductivity distribution; it increased the smoothness of the conductivity distribution and improved the imaging effect. The stepscan focus excitation and the linearly frequency-modulated theory provide an alternative scheme for the clinical application of MAET.
Inductive Loop Axle Detector based on Resistance and Reactance Vehicle Magnetic Profiles
Authors: Marszalek Zbigniew , Zeglen Tadeusz , Sroka Ryszard , Gajda Janusz
Published: July 2018

The article presents a measurement system that captures two components of a motor vehicle’s magnetic profile, which are associated with the real and imaginary part of the impedance of a narrow inductive loop sensor. The proposed algorithm utilizes both components of the impedance magnetic profile to detect vehicle axles, including lifted axles. Accuracies of no less than 71.8% were achieved for vehicles travelling with a lifted axle, and no less than 98.8% for other vehicles. The axle detection accuracy was determined during a series of experiments carried out under normal traffic conditions, using profile analysis, video footage and reference signals from an axle load detector on a total of 4000 vehicles.
A Portable Quantum Cascade Laser Spectrometer for Atmospheric Measurements of Carbon Monoxide
Authors: Viciani Silvia , Montori Alessio , Chiarugi Antonio , D’Amato Francesco
Published: July 2018

Trace gas concentration measurements in the stratosphere and troposphere are critically required as inputs to constrain climate models. For this purpose, measurement campaigns on stratospheric aircraft and balloons are being carried out all over the world, each one involving sensors which are tailored for the specific gas and environmental conditions. This paper describes an automated, portable, mid-infrared quantum cascade laser spectrometer, for in situ carbon monoxide mixing ratio measurements in the stratosphere and troposphere. The instrument was designed to be versatile, suitable for easy installation on different platforms and capable of operating completely unattended, without the presence of an operator, not only during one flight but for the whole period of a campaign. The spectrometer features a small size (80 × 25 × 41 cm3), light weight (23 kg) and low power consumption (85 W typical), without being pressurized and without the need of calibration on the ground or during in-flight operation. The device was tested in the laboratory and in-field during a research campaign carried out in Nepal in summer 2017, onboard the stratospheric aircraft M55 Geophysica. The instrument worked extremely well, without external maintenance during all flights, proving an in-flight sensitivity of 1–2 ppbV with a time resolution of 1 s.
Design and Development of a 5-Channel Arduino-Based Data Acquisition System (ABDAS) for Experimental Aerodynamics Research
Authors: Vidal-Pardo Antonio , Pindado Santiago
Published: July 2018

In this work, a new and low-cost Arduino-Based Data Acquisition System (ABDAS) for use in an aerodynamics lab is developed. Its design is simple and reliable. The accuracy of the system has been checked by being directly compared with a commercial and high accuracy level hardware from National Instruments. Furthermore, ABDAS has been compared to the accredited calibration system in the IDR/UPM Institute, its measurements during this testing campaign being used to analyzed two different cup anemometer frequency determination procedures: counting pulses and the Fourier transform. The results indicate a more accurate transfer function of the cup anemometers when counting pulses procedure is used.
Voiceprint Identification for Limited Dataset Using the Deep Migration Hybrid Model Based on Transfer Learning
Authors: Sun Cunwei , Yang Yuxin , Wen Chang , Xie Kai , Wen Fangqing
Published: July 2018

The convolutional neural network (CNN) has made great strides in the area of voiceprint recognition; but it needs a huge number of data samples to train a deep neural network. In practice, it is too difficult to get a large number of training samples, and it cannot achieve a better convergence state due to the limited dataset. In order to solve this question, a new method using a deep migration hybrid model is put forward, which makes it easier to realize voiceprint recognition for small samples. Firstly, it uses Transfer Learning to transfer the trained network from the big sample voiceprint dataset to our limited voiceprint dataset for the further training. Fully-connected layers of a pre-training model are replaced by restricted Boltzmann machine layers. Secondly, the approach of Data Augmentation is adopted to increase the number of voiceprint datasets. Finally, we introduce fast batch normalization algorithms to improve the speed of the network convergence and shorten the training time. Our new voiceprint recognition approach uses the TLCNN-RBM (convolutional neural network mixed restricted Boltzmann machine based on transfer learning) model, which is the deep migration hybrid model that is used to achieve an average accuracy of over 97%, which is higher than that when using either CNN or the TL-CNN network (convolutional neural network based on transfer learning). Thus, an effective method for a small sample of voiceprint recognition has been provided.
Integrity and Collaboration in Dynamic Sensor Networks
Authors: Schön Steffen , Brenner Claus , Alkhatib Hamza , Coenen Max , Dbouk Hani , Garcia-Fernandez Nicolas , Fischer Colin , Heipke Christian , Lohmann Katja , Neumann Ingo , Nguyen Uyen , Paffenholz Jens-André , Peters Torben , Rottensteiner Franz , Schachtschneider Julia , Sester Monika , Sun Ligang , Vogel Sören , Voges Raphael , Wagner Bernardo
Published: July 2018

Global Navigation Satellite Systems (GNSS) deliver absolute position and velocity, as well as time information (P, V, T). However, in urban areas, the GNSS navigation performance is restricted due to signal obstructions and multipath. This is especially true for applications dealing with highly automatic or even autonomous driving. Subsequently, multi-sensor platforms including laser scanners and cameras, as well as map data are used to enhance the navigation performance, namely in accuracy, integrity, continuity and availability. Although well-established procedures for integrity monitoring exist for aircraft navigation, for sensors and fusion algorithms used in automotive navigation, these concepts are still lacking. The research training group i.c.sens, integrity and collaboration in dynamic sensor networks, aims to fill this gap and to contribute to relevant topics. This includes the definition of alternative integrity concepts for space and time based on set theory and interval mathematics, establishing new types of maps that report on the trustworthiness of the represented information, as well as taking advantage of collaboration by improved filters incorporating person and object tracking. In this paper, we describe our approach and summarize the preliminary results.
Characteristics of Surface Acoustic Wave Sensors with Nanoparticles Embedded in Polymer Sensitive Layers for VOC Detection
Authors: Viespe Cristian , Miu Dana
Published: July 2018

Surface Acoustic Wave (SAW) sensors with several types of polymer sensing films, containing embedded Fe3O4 nanoparticles (NPs) with various dimensions and concentrations, were studied. A sensor with a sensing film consisting of the polymer alone was used for comparison. NPs with a mean diameter of 7 nm were produced by laser ablation with 5 ns pulse durations, and NPs with 13 nm diameters were obtained with a laser having 10 ps pulse durations. The properties of the Surface Acoustic Wave sensors with such sensing films were analyzed. Their response (frequency shift, sensitivity, noise and response time) to three different volatile organic components (VOCs) at various concentrations were compared with one another. The frequency shift and sensitivity increased with increasing NP concentration in the polymer for a given NP dimension and with decreasing NP diameter for a given concentration. The best results were obtained for the smallest NPs used. The SAW sensor containing 7 nm NPs had a limit of detection (LOD) of 65 ppm (almost five times better than the sensor with polymer alone), and a response time of about 9 s for ethanol.
Personal and Job Factors Associated with Teachers’ Active Listening and Active Empathic Listening
Authors: Kourmousi Ntina , Kounenou Kalliope , Yotsidi Vasiliki , Xythali Vasiliki , Merakou Kyriakoula , Barbouni Anastasia , Koutras Vasilios
Published: July 2018

Active listening is important for effective interpersonal communication, a prerequisite for successful teaching. The presented cross-sectional study examined personal and work factors associated to active listening in 3.995 Greek schools’ educators of all teaching levels and specialties. The study questionnaire posted on official and main teachers’ portals included personal and working data items, the Active Empathic Listening Scale (AELS), and the Active Listening Attitude Scale (ALAS). Multiple linear regression was used to identify independently associated factors with AELS and ALAS dimensions, and standardized regression coefficients were performed to measure the effect of independent variables. Regarding AELS, gender had the greatest effect on the Sensing subscale, followed by age and mental health promotion training. Years of teaching had the greatest effect on Processing subscale, followed by higher studies. Gender had the greatest effect on Responding subscale, followed by age, higher studies, and mental health promotion training. Concerning ALAS, mental health promotion training and support from colleagues had the greatest effect on Listening attitude subscale, gender and mental health promotion training had the greatest effect on Listening skill subscale, and gender, age, and years of teaching had the greatest effect on Conversation opportunity subscale. The identification of enhancing factors like training in mental health promotion could significantly contribute in designing training that can simultaneously benefit teachers’ skills and students’ psychosocial well-being.
Racial/Ethnic Residential Segregation, the Distribution of Physician’s Offices and Access to Health Care: The Case of Houston, Texas
Authors: Anderson Kathryn Freeman
Published: July 2018

Previous research has demonstrated the impacts of racial/ethnic residential segregation on access to health care, but little work has been conducted to tease out the mechanisms at play. I posit that the distribution of health care facilities may contribute to poor access to health care. In a study of the Houston area, I examine the association between residential segregation, the distribution of physician’s offices, and two health care access outcomes of having a personal physician, as well as the travel time to their office location. Using the 2010 Health of Houston Survey combined with several census products, I test these relationships in a series of spatial and multilevel models. I find that Black segregation is related to a lower density of physician’s offices. However, I find that this distribution is not related to having a personal physician, but is related to travel times, with a greater number of facilities leading to shorter travel times to the doctor. I also find that Black segregation is positively associated with travel times, and that the distribution of physician’s offices partially mediates this relationship. In sum, these findings suggest that a more equitable provision of health care resources across urban neighborhoods would mitigate some of the negative effects of segregation.
Mood State Changes Accompanying the Crossfit Open™ Competition in Healthy Adults
Authors: Box Allyson G. , Feito Yuri , Petruzzello Steven J. , Mangine Gerald T.
Published: July 2018

Background: Specific mood states were examined during the CrossFit Open, a consecutive 5-week fitness competition involving five separate CrossFit® workouts, to determine whether the unique design or strenuous workouts of the competition resulted in acute and/or chronic mood state alterations. Methods: Participants (n = 8) completed the Profile of Mood States (POMS) questionnaire one-week prior to the competition (baseline), prior to (PRE), immediately post (IP), 30-min post- (30P) and 60-min post-workout (60P) each week. Tension, depression, anger, confusion, fatigue and vigor were derived from the POMS, as was Total Mood Disturbance (TMD) and an Energy Index (EI). Results: Workout intensity exceeded 93% HRmax each week. No differences were observed between baseline and PRE-workout mood states across weeks, indicating little effect of the unique competition design. Significant (week x time) interactions were observed for TMD (p = 0.037), EI (p = 0.038) and fatigue (p = 0.005). Acute mood state fluctuations were consistent across each week, where mood states improved to and beyond PRE values 60-min post-workout. Conclusions: In competitors, the differences in workout design between each week did not influence mood states. This may be related to adaptation to this style of training, while the acute mood state alterations are likely due to the workout intensity.
Smooth Tests of Fit for the Lindley Distribution
Authors: Best D. , Rayner J.
Published: July 2018

We consider the little-known one parameter Lindley distribution. This distribution may be of interest as it appears to be more flexible than the exponential distribution, the Lindley fitting more data than the exponential. We give smooth tests of fit for this distribution. The smooth test for the Lindley has power comparable with the Anderson-Darling test. Advantages of the smooth test are discussed. Examples that illustrate the flexibility of this distributions is given.
Flagships of the Dutch Welfare State in Transformation: A Transformation Framework for Balancing Sustainability and Cultural Values in Energy-Efficient Renovation of Postwar Walk-Up Apartment Buildings
Authors: Oorschot Leo , Spoormans Lidwine , El Messlaki Sabira , Konstantinou Thaleia , De Jonge Tim , Van Oel Clarine , Asselbergs Thijs , Gruis Vincent , De Jonge Wessel
Published: July 2018

Increasing energy efficiency of the housing stock is one of the largest challenges in the built environment today. In line with the international Paris-Climate-Change-Conference 2015, Dutch municipalities and housing associations have embraced the ambition to achieve carbon neutrality for their social housing stock by 2050. However, most deep renovation designs for increasing the energy efficiency of dwellings focus on the relatively easy portion of the housing stock: postwar row housing. Furthermore, such design solutions are mostly produced without much care for architectural quality and cultural heritage, nor for testing for consumer preferences. Yet, such aspects are of major importance in tenement housing, particularly regarding the architectural quality of the huge numbers of walk-up apartment buildings from the inter- and postwar periods owned by housing associations in the larger cities. Renovation of buildings of this typology is more complex because of, among others, technical, social, and heritage factors. To support decisions in this complex context, a General Transformation Framework and a Roadmap has been developed for generating design solutions for deep renovation of representative parts of postwar walk-up apartment buildings with the aim to increase energy efficiency; retain its architectural legibility and cultural heritage value; and allow for the presentation of (end) users, with various options for adaptation to assess their preferences.
Service Learning, Service Climate, and Service-Based Social Innovation for Sustainability
Authors: Li Lan , Kung Hsin-Chieh , Tsai Fu-Sheng , Liu Chih-Fang , Lu Kun-Hwa
Published: July 2018

How does service-based education influence societal sustainability? Beyond product innovation, service innovation has been emerging as a paradigmatic issue for research. Human resource quality is one vital factor for service innovation. Service human capital development (i.e., education), however, has been relatively neglected in research on sustainability. This conceptual article discusses the chain of relationships between service learning and service climate, service innovation, and societal sustainability. In contrary to the widely spread concept of gaining competitive advantages through individual (organizational) service innovation, we emphasize the collaborative advantage that all individuals can construct together by service innovation to achieve sustainability. To achieve such a goal, the education for service human resources by service learning becomes a foundation. With these propositions, this paper contributes by offering possible future research issues, and by stimulating practice and policy discussions.
Design of a CRM Level and Performance Measurement Model
Authors: Krizanova Anna , Gajanova Lubica , Nadanyiova Margareta
Published: July 2018

The main objective of the contribution is to create the CRM (Customer Relationship Management) level and performance measurement model. It is almost impossible to create an absolutely universal model. On the other hand, we can develop a model in a particular sector based on the most advanced CRACK method with nine key areas such as Brand management, Offer management, Classic marketing, Sales activities, Service and support activities, Logistics operations, Compliance with promised terms, Internet activities, Customer Support, and Complex indicators. The monitored criteria in the key areas were determined on the basis of an objective questionnaire survey conducted by the pharmaceutical industry on the B2B market in the Slovak Republic. One of the primary requirements for the construction of the model was to obtain information to help predict the future development of performance because only in this way can the company correct CRM activities. Based on the data acquisition methodology, we can evaluate the CRM level and performance measurement model not only as a current state indicator but also as a foresight with insight based on hindsight because companies that choose to get info from customers will want to get closer to the desired optimal values of the customers.
Economic Growth and Pollution Emission in China: Structural Path Analysis
Authors: Yang Na , Zhang Zilong , Xue Bing , Ma Junxia , Chen Xingpeng , Lu Chenyu
Published: July 2018

The relationship between economic growth and environmental pollution has long been a controversial topic. However, simply the detection of the existence of environmental Kuznets curve (EKC) is not enough to understand how economic growth induced environmental pollution. This study investigated the path and mechanism of the effect of economic growth on the emission of two types of environmental pollutants, that is, industrial smoke and dust and sulfur dioxide, by using a structural equation model and a sample of 283 prefecture-level cities in China in 2005 and 2015. The research results show that economic growth exerted both direct and indirect effects on the emission of the two environmental pollutants. In addition to a direct impact through the economic scale effect, economic growth also indirectly impacted the two environmental pollutants emissions through three mediators, that is, industrial structure, technological innovations and environmental regulations. For different pollutants, the effect paths of economic growth on their emission showed both similarities and differences. First, with regards to industrial smoke and dust emissions and sulfur dioxide emissions, the effects of economic growth on the amount of these two emissions through environmental regulations and the industrial structure were negative inhibitory effects and positive promoting effects, respectively. This means that in prefectural-level cities in China, environmental regulation factors have produced some effects in reducing the emissions of these two pollutants while the industrial structure (level of industrialization) can increase the emissions of these two pollutants. However, the effect strength of these two paths shows a gradual weakening. Second, these two paths differ in effect strength and its changes. The positive promoting effects of the industrial structure on pollutant emission are significantly higher than the inhibitory effects of environmental regulation. In addition, our study also found that the direct impact path of economic growth on environmental pollution also passed significance testing, particularly in 2015. This shows that other reasons affect pollutant emission, such as system factors, spatial migration of industries and so forth.
Vegetation History in the Toledo Mountains (Central Iberia): Human Impact during the Last 1300 Years
Authors: Luelmo-Lautenschlaeger Reyes , Pérez-Díaz Sebastián , Alba-Sánchez Francisca , Abel-Schaad Daniel , López-Sáez José Antonio
Published: July 2018

Mid-mountain ecosystems provide a broad diversity of resources, heterogeneous relief, and a mild climate, which are all very useful for human necessities. These features enable different strategies such as the terracing of the slopes as well as wide crop diversification. Their relations lead to a parallel co-evolution between the environment and human societies, where fire and grazing become the most effective landscape management tools. This paper presents the results obtained from a multi-proxy study of the Bermú paleoenvironmental record, which is a minerotrophic mire located in the Quintos de Mora National Hunting Reserve (Toledo Mountains, central Spain). The bottom of this core has been dated in the Islamic period (ca. 711–1100 cal AD), and the study shows how the landscape that was built over time in the Toledo Mountains up to the present day is narrowly linked to human development. This study shows the increasing human pressure on the landscape, as well as the subsequent strategies followed by the plant and human communities as they faced diverse environmental changes. Thus, it is possible to attest the main role played by the humans in the Toledo Mountains, not only as a simple user, but also as a builder of their own reflexion in the environment.
The Effects of the Cohesion Policy on the Sustainable Development of the Development Regions in Romania
Authors: Pîrvu Ramona , Bădîrcea Roxana , Manta Alina , Lupăncescu Mihaela
Published: July 2018

The objective of this study was to characterize the development regions in Romania and to measure spatial imbalances, starting from the national and the European Union aspiration to promote more economic and social policies adapted to the different regional particularities. For this purpose, we conducted a multifactorial analysis of the sustainability of the development regions in Romania at NUTS II level by constructing a synthetic index of socio-economic development for the regions that appreciate sustainability and have accepted structural and cohesion funds. The multi-criteria synthetic index was obtained by aggregating several sub-indices (economy, health, education, public utilities, and living standards). We used cluster analysis to identify patterns of regional development in Romania over time. For 1998 and 2006, the same cluster structure was obtained. However, due to economic and social changes that occurred after 2006 (negative impact of the global financial crisis as well as the positive impact of EU funds), in 2016, we recorded another structure of clusters, except in the Bucharest-Ilfov region which continues to present a number of unique features. In addition, we show that the polarized regional development model is increasingly strengthening and the network of urban agglomerations needs to be territorially balanced to boost their ability to “export” wealth.