bluuebunny/crossref_metadata_2025 huggingface dataset:
Low Dietary Intakes of Essential Nutrients during Pregnancy in Vietnam
Authors: Nguyen Cong Luat , Hoang Dong Van , Nguyen Phung Thi Hoang , Ha Anh Vo Van , Chu Tan Khac , Pham Ngoc Minh , Lee Andy H , Duong Dat Van , Binns Colin W
Published: August 2018

Inadequate intake of nutrients during pregnancy has been associated with poor pregnancy and infant outcomes; however, evidence remains limited in low-resource settings in Asia. This paper assessed food, macronutrient, and micronutrient intakes among 1944 Vietnamese pregnant women. Dietary information was collected via an interviewer-administered food frequency questionnaire, and nutrient intakes were estimated using the Vietnamese food composition tables. The levels of nutrient intakes were evaluated against the Vietnamese recommended nutrient intakes (RNI) for pregnancy. The diet profiles were reported as means and percentages. The average daily food intakes across socio-demographic factors were compared using ANOVA, with adjustment for multiple comparisons by the Tukey–Kramer test. Rice, fruits, and vegetables were the main food sources consumed. The mean energy intake was 2004 kcal/day with 15.9%, 31.8%, and 52.2% of energy deriving from proteins, fats, and carbohydrates, respectively. Just over half of the women did not meet the RNI for total energy intake. The intakes of essential micronutrients including folate, calcium, iron, and zinc were below the RNI, and almost all pregnant women failed to meet the recommendations for these micronutrients. The associations of maternal age, education, and pre-pregnancy body mass index with nutrient intakes varied across the nutrient subgroups. Targeted programs are needed to improve nutrient intakes in Vietnamese pregnant women.
Maternal Lipid Concentrations during Early Pregnancy and Eating Behaviour and Energy Intake in the Offspring
Authors: Dieberger Anna M. , De Rooij Susanne R. , Korosi Aniko , Vrijkotte Tanja G. M.
Published: August 2018

Worldwide, childhood obesity is rapidly increasing, making it a pressing public health issue. Obesity is strongly linked to eating behaviour and energy intake but little is known about their prenatal determinants. In an exploratory study of data collected within the Amsterdam Born Children and their Development (ABCD) study, we hypothesized that intra-uterine exposure to increased lipids is associated with adverse eating behaviour and increased energy intake in the offspring at age 5. During early gestation, a non-fasting blood sample was taken from 1463 non-diabetic Dutch women, including: total cholesterol (TC), triglycerides (TG), free fatty acids (FFA), Apolipoprotein A1 (ApoA1) and Apolipoprotein B (ApoB). Eating behaviour, measured using the Children’s Eating Behaviour Questionnaire, included food approaching (enjoyment of food, food responsiveness) and food avoidant behaviour (satiety responsiveness, slowness of eating). Energy intake (total energy, fat and carbohydrate intake) was measured using a validated food frequency questionnaire. Associations were analysed using multivariable linear regression. Increased maternal TC concentrations were associated with lower enjoyment of food, higher satiety responsiveness and increased slowness of eating, as well as decreased kcal and fat intake in the offspring. Elevated ApoA1 was associated with increased slowness of eating, lower enjoyment of food and lower kcal, fat and carbohydrate intake. ApoB was positively associated with satiety responsiveness and slowness of eating. Higher TG concentrations were associated with higher food responsiveness. Maternal FFA did not show significant associations. Findings demonstrated that the maternal prenatal lipid profile was associated with offspring’s eating behaviour and energy intake, although not always in the hypothesized direction.
Mesoporous Silica Nanoparticles: A Comprehensive Review on Synthesis and Recent Advances
Authors: Narayan Reema , Nayak Usha Y. , Raichur Ashok M. , Garg Sanjay
Published: August 2018

Recent advancements in drug delivery technologies utilizing a variety of carriers have resulted in a path-breaking revolution in the approach towards diagnosis and therapy alike in the current times. Need for materials with high thermal, chemical and mechanical properties have led to the development of mesoporous silica nanoparticles (MSNs). These ordered porous materials have garnered immense attention as drug carriers owing to their distinctive features over the others. They can be synthesized using a relatively simple process, thus making it cost effective. Moreover, by controlling the parameters during the synthesis; the morphology, pore size and volume and particle size can be transformed accordingly. Over the last few years, a rapid increase in research on MSNs as drug carriers for the treatment of various diseases has been observed indicating its potential benefits in drug delivery. Their widespread application for the loading of small molecules as well as macromolecules such as proteins, siRNA and so forth, has made it a versatile carrier. In the recent times, researchers have sorted to several modifications in the framework of MSNs to explore its potential in drug resistant chemotherapy, antimicrobial therapy. In this review, we have discussed the synthesis of these multitalented nanoparticles and the factors influencing the size and morphology of this wonder carrier. The second part of this review emphasizes on the applications and the advances made in the MSNs to broaden the spectrum of its use especially in the field of biomedicine. We have also touched upon the lacunae in the thorough understanding of its interaction with a biological system which poses a major hurdle in the passage of this carrier to the clinical level. In the final part of this review, we have discussed some of the major patents filed in the field of MSNs for therapeutic purpose.
Pharmacokinetic Drug-Drug Interaction and Responsible Mechanism between Memantine and Cimetidine
Authors: Choi Young A. , Song Im-Sook , Choi Min-Koo
Published: August 2018

A sensitive and simple chromatography-tandem mass spectrometry (LC-MS/MS) method was developed to evaluate memantine in rat plasma. Memantine and propranolol (internal standard) in rat plasma was extracted using a methanol precipitation method. The standard curve value was 0.2–1000 ng/mL and selectivity, linearity, inter-day and intra-day accuracy and precision were within acceptance criteria. Using this validated method, drug-drug interactions between memantine and cimetidine was measured following co-administration of memantine and cimetidine intravenously and orally. Plasma exposure of memantine was increased by 1.6- and 3.0-fold by co-medication with cimetidine intravenously and orally, respectively. It suggested that the drug interaction occurred during the gut absorption process, which was consistent with the results showing that the intestinal permeability of memantine in the presence of cimetidine was 3.2-fold greater than that of memantine alone. Inhibition of cimetidine on hepatic elimination of memantine rather than renal excretion was also attributed to the drug-drug interaction between memantine and cimetidine, which explained the decreased clearance of memantine by co-medication with cimetidine. In conclusion, the newly developed simple and sensitive LC-MS/MS analytical method was applied to investigate the pharmacokinetic drug-drug interactions of memantine. Plasma exposure of memantine by co-administration with cimetidine was increased because of its enhanced intestinal permeability and the decreased metabolic activity of memantine.
Iontophoretic Drug Delivery in the Oral Cavity
Authors: Wanasathop Apipa , Li S. Kevin
Published: August 2018

Iontophoresis is a noninvasive method to enhance systemic and local drug delivery by the application of an electric field. For systemic drug delivery in the oral cavity, iontophoresis was studied primarily for transbuccal delivery. Significant enhancement of drug delivery was observed in buccal iontophoresis compared to passive transport for different drugs. For local drug delivery in the oral cavity, iontophoresis could enhance drug penetration into the enamel, dentin, and other oral tissues for the treatment of oral diseases. Iontophoresis was evaluated in dentistry such as to produce local anesthesia and treat tooth decalcification and hypersensitivity, but this technology has not been fully utilized. The most common drugs in these evaluations were fluoride and lidocaine. In general, there is limited knowledge of the mechanisms of iontophoresis in the oral tissues. In vivo animal and human studies have suggested that iontophoresis is safe in the oral cavity under the conditions investigated. The present review covers the topics of iontophoretic drug delivery in the oral cavity for both systemic and local treatments. The anatomy and diseases in the oral cavity for iontophoretic drug delivery are also briefly reviewed, and the challenges for this drug delivery method are discussed.
Enhanced Electrorheological Response of Cellulose: A Double Effect of Modification by Urea-Terminated Silane
Authors: Liu Zhao , Chen Panpan , Jin Xiao , Wang Li-Min , Liu Ying , Choi Hyoung
Published: August 2018

As a natural polymer with abundant sources, cellulose was one of the earliest applied electrorheological (ER) materials. However, cellulose-based ER materials have not attracted much attention because of their relatively low ER effect and sensitivity to water. In this study, cellulose rods were decorated with a urea-terminated silane, 1-(3-(trimethoxysilyl) propyl) urea, after being swelled in sodium hydroxide solution. The morphologies and structures of the cellulose particles were investigated using scanning electron microscopy, Fourier-transform infrared spectroscopy and X-ray diffraction, confirming the dramatic differences of the treated cellulose particles from the pristine cellulose. Rheological behaviors of the pristine and modified cellulose particles in silicone oil were observed using a rotational rheometer. It was found that the silane-modified cellulose showed higher ER effect and higher dielectric properties than the pristine cellulose particles, which was not only related to the grafted polar molecules but may also be associated with the porous morphologies of the treated cellulose particles.
Sulfur/Organic Copolymers as Curing Agents for Rubber
Authors: Wręczycki Jakub , Bieliński Dariusz M. , Anyszka Rafał
Published: August 2018

It is widely acknowledged that waste sulfur generated from the petroleum industry creates huge storage and ecological problems. Therefore, the various methods of utilization are becoming increasingly attractive research topics worldwide. The thermal ability of elemental sulfur to homolytic cleavage of S8 rings enables its free radical copolymerization with unsaturated organic species and the obtaining of chemically stable polymeric materials. Here we report a novel possibility to use sulfur/organic copolymers obtained via “inverse vulcanization” as curatives for rubber. For this purpose, several various sulfur/organic copolymers were synthesized and analyzed from the point of view of their performance as rubber crosslinking agents. Solvent extraction was used to purify sulfur/organic copolymers from unreacted (elemental) sulfur. Thermal properties of the prepared copolymers were characterized by thermogravimetric analysis and differential scanning calorimetry (TGA–DSC). Crosslink density and structure of cured elastomers was studied by equilibrium swelling, thiol-amine analysis and freezing point depression. Mechanical properties of the vulcanizates were determined under static and dynamic conditions (DMA—dynamic mechanical analysis). It is proved that the utilization of sulfur/organic copolymers as curatives enables an effective crosslinking process of rubbers. Taking into account the results of a crosslink density analysis and mechanical properties of the vulcanizates cured with purified copolymers, it is evident that relatively long copolymer macromolecules are also involved in the formation of chemical bonds between unsaturated rubber macromolecules.
Highly Sensitive Detection of Melamine Based on the Fluorescence Resonance Energy Transfer between Conjugated Polymer Nanoparticles and Gold Nanoparticles
Authors: Zhang Cui-jiao , Gao Zhi-yan , Wang Qiu-bo , Zhang Xian , Yao Jin-shui , Qiao Cong-de , Liu Qin-ze
Published: August 2018

Adding melamine as additives in food products will lead to many diseases and even death. However, the present techniques of melamine detection require time-consuming steps, complicated procedures and expensive analytical apparatus. The fluorescent assay method was facile and highly sensitive. In this work, a fluorescence resonance energy transfer (FRET) system for melamine detection was constructed based on conjugated polymer nanoparticles (CPNs) and gold nanoparticles (AuNPs). The energy transfer efficiency is up to 82.1%, and the system is highly selective and sensitive to melamine detection with a lower detection limit of 1.7 nmol/L. Moreover, the interaction mechanism was explored. The results showed that the fluorescence of CPNs were firstly quenched by AuNPs, and then restored after adding melamine because of reducing FRET between CPNs and AuNPs. Lastly, the proposed method was carried out for melamine detection in powdered infant formula with satisfactory results.
Compatibility Evaluation of Non-Woven Sheet Composite of Silk Fibroin and Polyurethane in the Wet State
Authors: Aytemiz Derya , Fukuda Yasuhiro , Higuchi Akira , Asano Atsushi , Nakazawa Chikako T. , Kameda Tsunenori , Yoshioka Taiyo , Nakazawa Yasumoto
Published: August 2018

SF/polyurethane composite non-woven sheet was fabricated to evaluate the cardiovascular tissue engineering materials in the wet state. The compatibility and microstructure analyses were carried out on the fabricated SF/polyurethane composite non-woven sheet by thermal analysis and solid-state NMR analysis in the wet state. To evaluate the modulus of elasticity, a tensile test was performed and supported with dynamic viscoelasticity and mechanical analysis. Results showed that SF/polyurethane composites form domains within the non-woven sheet and are in a finely dispersed state while maintaining their structures at a scale of several tens of nm. Moreover, an increase of the loss tangent with low elastic modulus proved that a micromolecular interaction occurs between silk fibroin (SF) and polyurethane molecules.
Synthesis and Characterization of the Conducting Polymer Micro-Helix Based on the Spirulina Template
Authors: Hu Xiao-Yu , Ouyang Jun , Liu Guo-Chang , Gao Meng-Juan , Song Lai-Bo , Zang Jianfeng , Chen Wei
Published: August 2018

As one of the most interesting naturally-occurring geometries, micro-helical structures have attracted attention due to their potential applications in fabricating biomedical and microelectronic devices. Conventional processing techniques for manufacturing micro-helices are likely to be limited in cost and mass-productivity, while Spirulina, which shows natural fine micro-helical forms, can be easily mass-reproduced at an extremely low cost. Furthermore, considering the extensive utility of conducting polymers, it is intriguing to synthesize conducting polymer micro-helices. In this study, PPy (polypyrrole), PANI (polyaniline), and PEDOT (poly(3,4-ethylenedioxythiophene)) micro-helices were fabricated using Spirulinaplatensis as a bio-template. The successful formations of the conducting polymer micro-helix were confirmed using scanning electron microscopy (SEM). Fourier transform infrared spectroscopy (FTIR) and Raman and X-ray diffraction (XRD) were employed to characterize the molecular structures of the conducting polymer in micro-helical forms. In the electrochemical characterization, the optimized specific capacitances for the PPy micro-helix, the PANI micro-helix, and the PEDOT micro-helix were found to be 234 F/g, 238 F/g at the scan rate of 5 mV/s, and 106.4 F/g at the scan rate of 10 mV/s, respectively. Therefore, it could be expected that other conducting polymer micro-helices with Spirulina as a bio-template could be also easily synthesized for various applications.
Land Cover Change in the Lower Yenisei River Using Dense Stacking of Landsat Imagery in Google Earth Engine
Authors: E. Nyland Kelsey , E. Gunn Grant , I. Shiklomanov Nikolay , N. Engstrom Ryan , A. Streletskiy Dmitry
Published: August 2018

Climate warming is occurring at an unprecedented rate in the Arctic due to regional amplification, potentially accelerating land cover change. Measuring and monitoring land cover change utilizing optical remote sensing in the Arctic has been challenging due to persistent cloud and snow cover issues and the spectrally similar land cover types. Google Earth Engine (GEE) represents a powerful tool to efficiently investigate these changes using a large repository of available optical imagery. This work examines land cover change in the Lower Yenisei River region of arctic central Siberia and exemplifies the application of GEE using the random forest classification algorithm for Landsat dense stacks spanning the 32-year period from 1985 to 2017, referencing 1641 images in total. The semiautomated methodology presented here classifies the study area on a per-pixel basis utilizing the complete Landsat record available for the region by only drawing from minimally cloud- and snow-affected pixels. Climatic changes observed within the study area’s natural environments show a statistically significant steady greening (~21,000 km2 transition from tundra to taiga) and a slight decrease (~700 km2) in the abundance of large lakes, indicative of substantial permafrost degradation. The results of this work provide an effective semiautomated classification strategy for remote sensing in permafrost regions and map products that can be applied to future regional environmental modeling of the Lower Yenisei River region.
Monitoring and Assessment of Drought Focused on Its Impact on Sorghum Yield over Sudan by Using Meteorological Drought Indices for the Period 2001–2011
Authors: Elhag Khalid. M. , Zhang Wanchang
Published: August 2018

Currently, the high-resolution satellite images in near real-time have gained more popularity for natural disaster detection due to the unavailability and difficulty of acquiring frequent ground observation data over a wide region. In Sudan, the occurrence of drought events is a predominant natural disaster that causes substantial damages to crop production. Therefore, monitoring drought and measuring its impact on the agricultural sector remain major concerns of policymakers. The current study focused on assessing and analyzing drought characteristics based on two meteorological drought indices, namely the Standardized Precipitation Index (SPI) and the Drought Severity Index (DSI), and inferred the impact of drought on sorghum productivity in Sudan from 2001 to 2011. To identify the wet and dry areas, the deviations of tropical rainfall measuring mission (TRMM) precipitation products from the long-term mean from 2001 to 2011 were computed and mapped at a seasonal scale (July–October). Our findings indicated that the dry condition fluctuated over the whole of Sudan at various temporal and spatial scales. The DSI results showed that both the Kordofan and Darfur regions were affected by drought in the period 2001–2005, whereas most regions were affected by drought from 2008 to 2011. The spatial correlation between DSI, SPI-3, and TRMM precipitation products illustrated a significant positive correlation in agricultural lands and negative correlation in mountainous areas. The relationship between DSI and the Standardized variable of crop yield (St. Y) for sorghum yield was also investigated over two main agricultural regions (Central and Eastern regions) for the period 2001–2011, which revealed a good agreement between them, and a huge drop of sorghum yield also occurred in 2008–2011, corresponding to extreme drought indicated by DSI. The present study indicated that DSI can be used for agricultural drought monitoring and served as an alternative indicator for the estimation of crop yield over Sudan in some levels.
Editorial for Special Issue “Advances in SAR: Sensors, Methodologies, and Applications”
Authors: Balz Timo , Sörgel Uwe , Crespi Mattia , Osmanoglu Batuhan
Published: August 2018

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Refining Land Cover Classification Maps Based on Dual-Adaptive Majority Voting Strategy for Very High Resolution Remote Sensing Images
Authors: Cui Guoqing , Lv Zhiyong , Li Guangfei , Atli Benediktsson Jón , Lu Yudong
Published: August 2018

Land cover classification that uses very high resolution (VHR) remote sensing images is a topic of considerable interest. Although many classification methods have been developed, the accuracy and usability of classification systems can still be improved. In this paper, a novel post-processing approach based on a dual-adaptive majority voting strategy (D-AMVS) is proposed to improve the performance of initial classification maps. D-AMVS defines a strategy for refining each label of a classified map that is obtained by different classification methods from the same original image, and fusing the different refined classification maps to generate a final classification result. The proposed D-AMVS contains three main blocks. (1) An adaptive region is generated by gradually extending the region around a central pixel based on two predefined parameters (T1 and T2) to utilize the spatial feature of ground targets in a VHR image. (2) For each classified map, the label of the central pixel is refined according to the majority voting rule within the adaptive region. This is defined as adaptive majority voting. Each initial classified map is refined in this manner pixel by pixel. (3) Finally, the refined classified maps are used to generate a final classification map, and the label of the central pixel in the final classification map is determined by applying AMV again. Each entire classified map is scanned and refined pixel by pixel based on the proposed D-AMVS. The accuracies of the proposed D-AMVS approach are investigated with two remote sensing images with high spatial resolutions of 1.0 m and 1.3 m. Compared with the classical majority voting method and a relatively new post-processing method called the general post-classification framework, the proposed D-AMVS can achieve a land cover classification map with less noise and higher classification accuracies.
Fabrication Technology and Characteristics Research of a Monolithically-Integrated 2D Magnetic Field Sensor Based on Silicon Magnetic Sensitive Transistors
Authors: Zhao Xiaofeng , Jin Chenchen , Deng Qi , Lv Meiwei , Wen Dianzhong
Published: August 2018

A monolithically-integrated two-dimensional (2D) magnetic field sensor consisting of two difference structures (DSІ and DSII) is proposed in this paper. The DSІ and DSII are composed of four silicon magnetic sensitive transistors (SMST1, SMST2, SMST3 and SMST4) and four collector load resistors (RL1, RL2, RL3 and RL4). Based on the magnetic sensitive principle of SMST, the integrated difference structure can detect magnetic fields’ component (Bx and By) along the x-axis and y-axis, respectively. By adopting micro-electromechanical systems (MEMS) and packaging technology, the chips were fabricated on a p-type <100> orientation silicon wafer with high resistivity and were packaged on printed circuit boards (PCBs). At room temperature, when the VCE = 5.0 V and IB = 8.0 mA, the magnetic sensitivities (Sxx and Syy) along the x-axis and the y-axis were 223 mV/T and 218 mV/T, respectively. The results show that the proposed sensor can not only detect the 2D magnetic field vector (B) in the xy plane, but also that Sxx and Syy exhibit good uniformity.
An Intelligent System for Monitoring Skin Diseases
Authors: Połap Dawid , Winnicka Alicja , Serwata Kalina , Kęsik Karolina , Woźniak Marcin
Published: August 2018

The practical increase of interest in intelligent technologies has caused a rapid development of all activities in terms of sensors and automatic mechanisms for smart operations. The implementations concentrate on technologies which avoid unnecessary actions on user side while examining health conditions. One of important aspects is the constant inspection of the skin health due to possible diseases such as melanomas that can develop under excessive influence of the sunlight. Smart homes can be equipped with a variety of motion sensors and cameras which can be used to detect and identify possible disease development. In this work, we present a smart home system which is using in-built sensors and proposed artificial intelligence methods to diagnose the skin health condition of the residents of the house. The proposed solution has been tested and discussed due to potential use in practice.
Multiparametric Monitoring in Equatorian Tomato Greenhouses (I): Wireless Sensor Network Benchmarking
Authors: Erazo-Rodas Mayra , Sandoval-Moreno Mary , Muñoz-Romero Sergio , Huerta Mónica , Rivas-Lalaleo David , Naranjo César , Rojo-Álvarez José
Published: August 2018

In recent years, attention has been paid to wireless sensor networks (WSNs) applied to precision agriculture. However, few studies have compared the technologies of different communication standards in terms of topology and energy efficiency. This paper presents the design and implementation of the hardware and software of three WSNs with different technologies and topologies of wireless communication for tomato greenhouses in the Andean region of Ecuador, as well as the comparative study of the performance of each of them. Two companion papers describe the study of the dynamics of the energy consumption and of the monitored variables. Three WSNs were deployed, two of them with the IEEE 802.15.4 standard with star and mesh topologies (ZigBee and DigiMesh, respectively), and a third with the IEEE 802.11 standard with access point topology (WiFi). The measured variables were selected after investigation of the climatic conditions required for efficient tomato growth. The measurements for each variable could be displayed in real time using either a laboratory virtual instrument engineering workbench (LabVIEWTM) interface or an Android mobile application. The comparative study of the three networks made evident that the configuration of the DigiMesh network is the most complex for adding new nodes, due to its mesh topology. However, DigiMesh maintains the bit rate and prevents data loss by the location of the nodes as a function of crop height. It has been also shown that the WiFi network has better stability with larger precision in its measurements.
A 77-GHz Six-Port Sensor for Accurate Near-Field Displacement and Doppler Measurements
Authors: Arab Homa , Dufour Steven , Moldovan Emilia , Akyel Cevdet , Tatu Serioja O.
Published: August 2018

A continuous-wave (CW) radar sensor design based on a millimetre-wave six-port interferometer is proposed. A complete sensor prototype is conceived of, fabricated and measured at 77 GHz for short-range professional and industrial applications. This sensor is designed to measure distances and Doppler frequencies with high accuracy, at a reasonable cost. Accurate phase measurements are also performed using the six-port technology, which makes it a promising candidate for CW radar sensing applications. Advances in the performance and functionality of six-port sensors are surveyed to highlight recent progress in this area. These include improvements in design, low power consumption, high signal to noise ratio, compactness, robustness and simplicity in realization. Given the fact that they are easy to fabricate, due to the lack of active circuits and being highly accurate, it is expected that six-port sensors will significantly contribute to the development of human tracking devices and industrial sensors in the near future. The entire circuit prototype, including the transmitter, the receiver antenna, the six-port interferometer and the four power detectors have been integrated on a die. The circuit is fabricated using a hybrid integrated technology on a 127-μm ceramic substrate with a relative permittivity of εr=9.8. Calibrated tuning forks are used to assess the performance of the six-port sensor experimentally for various frequencies.
Screening Method for Anti-Colon Cancer Drugs Using Two Sensor Cell Lines with Human β4-Galactosyltransferase 4 Gene Promoters
Authors: Fukushima Naomichi , Sugiyama Atena , Sato Takeshi
Published: August 2018

The increased expression of β4-galactosyltransferase (β4GalT) 4 is closely associated with poor prognosis of colon cancer. Recently, we showed that the expression of the β4GalT4 gene is regulated by the 0.17 kb core promoter region containing one binding site for Specificity protein 1 (Sp1). To develop a screening method for anti-colon cancer drugs, two sensor cell lines having the luciferase gene under the control of two β4GalT4 gene promoters that differed in length were established from SW480 human colon cancer cells. The hGT4-0.17-sensor cells possessed the luciferase reporter driven by the 0.17 kb promoter, while the hGT4-0.3-sensor cells possessed the luciferase reporter driven by the 0.3 kb promoter containing one binding site each for colon cancer-related transcription factors including activator protein 2, E2F, caudal-related homeobox transcription factors, and Runt-related transcription factors besides Sp1. Upon treatment with mitogen-activated protein kinase signaling inhibitor U0126, the promoter activities of the hGT4-0.3-sensor cells decreased significantly, while those of the hGT4-0.17-sensor cells remained unchanged. These results suggest that the responsiveness to U0126 differs between two sensor cell lines due to the different regulation of the luciferase reporters. This study provides the screening method for anti-colon cancer drugs by the combination of two sensor cell lines.
Q3: A Compact Device for Quick, High Precision qPCR
Authors: Cereda Marco , Cocci Alessandro , Cucchi Davide , Raia Lillo , Pirola Danilo , Bruno Lorenzo , Ferrari Pietro , Pavanati Valentina , Calisti Giorgia , Ferrara Francesco , Bramanti Alessandro P. , Bianchessi Marco A.
Published: August 2018

An accurate and easy-to-use Q3 system for on-chip quantitative real-time Polymerase Chain Reaction (qPCR) is hereby demonstrated, and described in detail. The qPCR reactions take place inside a single-use Lab-on-a-Chip with multiple wells, each with 5 to 15 µL capacity. The same chip hosts a printed metal heater coupled with a calibrated sensor, for rapid and accurate temperature control inside the reaction mixture. The rest of the system is non-disposable and encased in a 7 × 14 × 8.5 (height) cm plastic shell weighing 300 g. Included in the non-disposable part is a fluorescence read-out system featuring up to four channels and a self-contained control and data storage system, interfacing with an external user-friendly software suite. Hereby, we illustrate the engineering details of the Q3 system and benchmark it with seamlessly ported testing protocols, showing that Q3 equals the performance of standard commercial systems. Overall, to the best of our knowledge, this is one of the most mature general-purpose systems for on-chip qPCR currently available.
A Fiber Bragg Grating (FBG)-Enabled Smart Washer for Bolt Pre-Load Measurement: Design, Analysis, Calibration, and Experimental Validation
Authors: Chen Dongdong , Huo Linsheng , Li Hongnan , Song Gangbing
Published: August 2018

A washer is a common structural element that is directly used along the loading path of a bolted connection. Pre-load on a bolted connection directly impacts its load bearing capacity and pre-load monitoring is an important aspect of structural health monitoring (SHM). With the change of the pre-load on a bolted connection, the loading force on the washer will change and, therefore, the outer diameter and outer circumferential length of the washer will change. Taking advantage of the high sensitivity and the small size of a Fiber Bragg Grating (FBG) sensor, we propose an innovative smart washer encircled by an FBG sensor that can directly measure the circumferential strain change and, therefore, the pre-load on the washer. For protection, the FBG is embedded in a pre-machined groove along the circumferential surface of the washer. A theoretical approach is used to derive the linear relationship between the applied load and the circumferential strain of the washer. To validate the functionality of the FBG-enabled smart sensor for in situ bolt pre-load monitoring, a simple but effective testing apparatus is designed and fabricated. The apparatus involves a bolt, the FBG-enabled washer, a metal plate, and a nut. The bolt has an embedded FBG along its axial direction for precise axial strain and, therefore, force measurement. With the calibrated axial force measuring bolt, in situ experiments on the FBG-enabled smart washers are conducted. Experimental results reveal the linear relationship between the pre-load and the wavelength of the FBG sensor encircling the washer. Both analytical and experimental results demonstrate that the proposed novel approach is sensitive to the bolt pre-load and can monitor in real time the bolt looseness in the entire loading range.
Protocol for Energy-Efficiency in Networked Control Systems Based on WSN
Authors: Palma Jonathan M. , Duran-Faundez Cristian , De P. Carvalho Leonardo , Morais Cecília F. , C. L. F. Oliveira Ricardo , Rubio Ernesto , Herman Krzysztof
Published: August 2018

This paper proposes a new communication protocol for output-feedback control through multi-hop Wireless Sensor Network (WSN). The protocol is based on a Hop-by-Hop transport scheme and is especially devised to simultaneously fulfill two conflicting criteria: the network energy consumption and the stability/performance (in terms of H∞ norm) of the closed-loop system. The proposed protocol can be implemented by means of three heuristics, basically using distinct rules to control the maximum number of retransmissions allowed in terms of the voltage level of the batteries of the network nodes. As another contribution, a Markov jump based representation is proposed to model the packet loss in the communication channel, giving rise to a systematic procedure to determine the transition probability matrix and the Markov chain operation modes of a network with multiple information sources. The synthesis of the output-feedback controller is made in two steps (observer filter plus a state-feedback controller) for the Markov model assuming partial availability of the operation modes. The efficiency and applicability of the communication protocol is illustrated by means of a numerical experiment, based on a physical model of a coupled tanks plant. The features of each heuristic of implementation of the proposed protocol are presented in the numerical comparisons.
Inequality Is a Problem of Inference: How People Solve the Social Puzzle of Unequal Outcomes
Authors: Mijs Jonathan
Published: August 2018

A new wave of scholarship recognizes the importance of people’s understanding of inequality that underlies their political convictions, civic values, and policy views. Much less is known, however, about the sources of people’s different beliefs. I argue that scholarship is hampered by a lack of consensus regarding the conceptualization and measurement of inequality beliefs, in the absence of an organizing theory. To fill this gap, in this paper, I develop a framework for studying the social basis of people’s explanations for inequality. I propose that people observe unequal outcomes and must infer the invisible forces that brought these about, be they meritocratic or structural in nature. In making inferences about the causes of inequality, people draw on lessons from past experience and information about the world, both of which are biased and limited by their background, social networks, and the environments they have been exposed to. Looking at inequality beliefs through this lens allows for an investigation into the kinds of experiences and environments that are particularly salient in shaping people’s inferential accounts of inequality. Specifically, I make a case for investigating how socializing institutions such as schools and neighborhoods are “inferential spaces” that shape how children and young adults come to learn about their unequal society and their own place in it. I conclude by proposing testable hypotheses and implications for research.
Minority High School Students in Non-Math-Science-Oriented and Math-Science-Oriented Majors: Do They View the Environment Differently?
Authors: Christian Colmore S. , Ojha Santosh K. , Herbert Berneece S.
Published: August 2018

The aim of the study was to investigate differences, if any, in environmental attitude, knowledge, experience and participation, between non-math-science (NMS) and math-science (MS) high school students from minority ethnic groups. A 16-item survey instrument was used for data collection. Participants were students at eight high schools in Madison County, Alabama, USA who were enrolled in North Alabama Center for Educational Excellence’s (NACEE’s) 2014 and 2015 summer programs. Eighty-six completed questionnaires were collected, the majority from Black/African-American and Hispanic minority ethnic groups. Pearson’s chi-square test and Spearman rho correlation were applied to assess differences and relationships between the groups. We found high level of positive attitude (NMS [95%] and MS [98%]) towards environmental protection among both groups; however, no statistically significant differences were evident. While both groups had low levels of participation and engagement in environmental protection and outdoor recreation activities, the MS group had comparatively higher participation than the NMS group. The relationship between participation and satisfaction was significantly positive for MS students and significantly negative for NMS students. To increase minority students’ knowledge and participation in pro-environmental activities in the future, Alabama’s Environmental Education Program should emphasize selective activities (e.g., involving students’ families and communities in environmental initiatives, providing opportunities to students to socialize and have fun with nature, and encouraging age-appropriate teaching and learning approaches).
A Methodological Approach to Using Geodesign in Transmission Line Projects
Authors: Moreno Marimbaldo Francisco , Manso-Callejo Miguel-Ángel , Alcarria Ramon
Published: August 2018

Numerous constraints affect the design of long linear infrastructures such as high-voltage transmission lines (HVTL): terrain slope, distances to urban centers or protected areas, stakeholders, administration, etc. These constraints must be studied as a whole to make the most appropriate decisions. In HVTL project development, a large volume of geodata is generated and analyzed in the project lifecycle. Each geodata scale is associated with a phase of the project and scale transitions correspond to changes in involved technical teams. Geodesign provides design frameworks and supporting technologies, so that professionals can share data and find designs suitable to the sustainability characteristics of each territory. This article proposes a geodesign workflow for developing HVTL projects, supported by methodologies and by automated model executions that guarantee the traceability of its development through the lifecycle stages. The aim is to minimize environmental, social, and local impacts, while providing stakeholders with tools for planning and decision-making. The workflow helps to integrate the geodesign’s principles, harmonizing corporate procedures throughout the project phases, taking into consideration constraints notified by stakeholders, through a design process guided by feedback-iteration- consensus mechanisms. As a result, it produces a transparent, visible, and improved participative workflow for developing new electric infrastructures.
Technological Entrepreneurship: How does Environmental Turbulence Impact upon Collaboration Risk?
Authors: Staniec Iwona
Published: August 2018

The aim of this paper is to identify the impact of environmental turbulence on the risk of cooperation in technological entrepreneurship. Multidimensional factors such as the risk of cooperation, environmental turbulence, and the reaction to operationalized changes were selected during the literature review, and were subjected to empirical verification on a 304 element sample of SMEs, which are implementing technology entrepreneurship. The study used a questionnaire interview technique conducted directly in the company, and the research tool was a specially prepared questionnaire. Because of the multidimensional character of the studied variables, structural modelling was chosen. In addition, the influence of selected mediators and moderators on the relationship between the turbulence of the environment and the risk of cooperation in technological entrepreneurship was examined. The article has been divided into five main sections. The first section constitutes the introduction to the deliberations. A detailed review of the literature, taking into account the principles of operationalization of each of the presented variables, is discussed in the second section. The methodology used is then presented. In the next section of the paper, the results of the research are presented and then a broad discussion of these results is undertaken. The last section is a summary of the conducted research and its limitations. Knowledge about the antecedents of cooperation risk allows for the minimization of the presence of adverse phenomena, while knowledge of the directions of their impact greatly enriches the experience in the management of this type of relationship. The presented research may contribute to the construction of a rational model of the cooperation risk management process, in particular, in the case of adopting resources existing within the organization.
Global Agricultural Trade Pattern in A Warming World: Regional Realities
Authors: Lee Huey-Lin , Lin Yu-Pin , Petway Joy R.
Published: August 2018

Global warming, coupled with disparate national population growth projections, could exert significant pressure on food prices, increasing the risk of food insecurity, particularly for net-importing countries. We investigated projected eventualities for a comprehensive set of 133 countries by the year 2030, and identified changes in the global agricultural crop trading pattern, with simulations from a multi-regional computable general equilibrium (CGE) model. We based our model on population growth and temperature scenarios, as per the IPCC fifth assessment report (AR5). Our simulations suggest an increase of 4.9% and 6.4% in global average prices and aggregate export crop volumes, respectively. This global exports expansion requires an increased 4.46% in current global aggregate crop output, since population growth raises demand, and thus, global average crop prices, further aggravating net importing countries’ financial burdens for food acquisition. Conversely, net exporting countries will fare better in the projected scenario due to increased agricultural income, as they are able to increase crop exports to meet the rising global demand and price. The gap in global income distribution widens, given that the majority of developing countries are coincidently located in tropical zones which are projected to experience negative crop yield shocks, while industrialized countries are located in cold and temperate zones projected to have favorable crop yield changes. National and international policy measures aimed at effectively alleviating net importing countries’ food security issues should also consider how global crop yields are geographically and diversely impacted by climate change.
Outsourcing Performance in Hotels: Evaluating Partnership Quality
Authors: Espino-Rodríguez Tomás F. , Ramírez-Fierro Juan Carlos
Published: August 2018

In this study, a research model investigates the influence of various factors of the outsourcing relationship that condition partnership quality. The factors considered as determinants of outsourcing partnership quality are the strategic benefits and the degree of outsourcing. Partnership quality is based on relationships governed by confidence, commitment, business understanding, shared benefits and risks, and conflict resolution. The model also studies the influence of the partnership quality between the supplier and the hotel on the outsourcing performance, considered from the financial, strategic, and overall satisfaction perspectives. To test the hypotheses, this study used the Partial Least Squares (PLS) technique with a sample of managers in an important tourist destination in Spain. The results of the study confirm that the strategic benefits and the degree of outsourcing perceived by the manager are determinant factors of the quality of the outsourcing partnership. In addition, they show that closer relationships with service suppliers imply greater outsourcing performance. Finally, implications for theory and practice are discussed.
RETRACTED: Yoon, S.; Jeong, S. Carbon Emission Mitigation Potentials of Different Policy Scenarios and Their Effects on International Aviation in the Korean Context. Sustainability 2016, 8, 1179
Authors: Yoon Sungwook , Jeong Sukjae ,   Sustainability Editorial Office
Published: August 2018

The Sustainability Editorial Office has been made aware that the published paper [1] [...]
Comparative Analysis of Biological Effects Induced on Different Cell Types by Magnetic Fields with Magnetic Flux Densities in the Range of 1–60 mT and Frequencies up to 50 Hz
Authors: Vergallo Cristian , Dini Luciana
Published: August 2018

Moderate static magnetic fields (SMFs) are generated from sources such as new-generation electric trams and trains, electric arc welding, and magnetic resonance imaging (MRI) devices, as well as during the industrial production of aluminium, while extremely low frequency pulsed magnetic fields (ELF-PMFs) are produced by house power installations, household appliances, and high voltages transmission lines. Moderate SMFs and ELF-PMFs with magnetic flux densities (B) in the range of 1–60 mT and frequencies (f) up to 50 Hz are common MF exposure sources for the population. Even though humans are continually exposed to these MFs, to date no definitive endpoint has been drawn about their safety. In this review, the state of knowledge about the biological effects induced by these MFs on different cell types will be addressed. In our own observation, the putative modulation of Ca2+/H+ and Na+/H+ plasma membrane antiporters of human peripheral blood lymphocytes (PBLs) was found to occur after a 24 h exposure to a 6 mT SMF, and the bystander effect observed on U937 cells cultivated for up to 6 h in the conditioned medium harvested from human PBLs previously exposed for 24 h to the same MF (secondary necrosis induction) will be also herein discussed.
Comment on Apiors, E.K.; Suzuki, A. Mobile Money, Individuals’ Payments, Remittances, and Investments: Evidence from the Ashanti Region, Ghana. Sustainability 2018, 10, 1409
Authors: Van Hove Leo
Published: August 2018

Using primary, individual-level survey data for Ghana, Apiors and Suzuki find, among other things, that mobile money use is not dependent on financial status and that mobile money users save more. This note argues that both conclusions have validity issues.