bluuebunny/crossref_metadata_2025 huggingface dataset:
Does Illness Perception Explain Quality of Life of Patients With Prostate Cancer?
Authors: Mickevičienė Aušra , Vanagas Giedrius , Jievaltas Mindaugas , Ulys Albertas
Published: April 2018

Background. It is licely that illness perceptions can explain variations in quality of life of patients with prostate cancer across different treatment methods and stages. Therefore, the aim of this study was to determine if illness perception can explain variations in quality of life of patients with prostate cancer. Material and Methods. The cross-sectional national-level study was carried out. Quality of life was evaluated with the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 30 and the Visual Analogue Scale. Illness perceptions were measured by the revised Illness Perception Questionnaire. Results. The response rate was 77.1% (N=501). The variation in global quality of life was explained (32.0%) by levels of emotional representation (β=–0.126; P=0.023) and consequences (β=–0.209; P<0.01); physical functioning (27.0%), by consequences (β=–0.203; P<0.01) and chemotherapy (β=–2.911; P=0.007); role functioning (37.0%), by emotional representations (β=–0.198; P<0.01), timeline cyclical (β=–0.209; P=0.014), and stage of the disease (β=–0.779; P=0.007); emotional functioning (43.0%), by emotional representations (β=–0.361; P<0.01) and education level (β=–0.566; P=0.025); cognitive functioning (34.0%), by educational level (β=0.714; P=0.005), emotional representations (β=–0.118; P=0.019), illness coherence (β=–0.167; P=0.030), consequences (β=–0.187; P=0.001), and hormonal therapy (β=–0.778; P=0.049); and social functioning (39.0%), by consequences (β=–0.320; P<0.01) and combined treatment (β=–1.492; P=0.016). Conclusions. Illness perceptions may be important while investigating quality of life in patients with prostate cancer. It may underlie quality-of-life differences in this group of patients and could inform decision makers about the importance of the provision of psychosocial services to patients with prostate cancer.
The Frequency of CYP2C9, VKORC1, and CYP4F2 Polymorphisms in Russian Patients With High Thrombotic Risk
Authors: Ivashchenko Dmitriy , Rusin Ilya , Sychev Dmitriy , Grachev Andrey
Published: April 2018

Background and Objective. VKORC1, CYP2C9, and CYP4F2 are known to be responsible for the metabolism of warfarin. The aim was to explore the frequencies of these genotypes in the Russian population and compare the results with those for other populations. Material and Methods. In total, 91 Caucasian subjects with a mean age of 66.17 years (SD, 10.9) were recruited into the study. Of them, 40 patients (48.2%) were men. In order to obtain necessary clinical data, the medical records of the patients were reviewed. Blood (5 mL) was taken from each subject, and DNA was isolated and used for identification of the CYP2C9 allele *1, *2, *3, –1639G/A VKORC1, and CYP4F2 V433M rs2108622 C>T, using the real-time polymerase chain reaction-restriction fragment length polymorphism assay. Results. The CYP2C9*1/*1 genotype was detected in 67.0%, CYP2C9*1/*2 in 9.9%, CYP2C9* 1/*3 in 11.0%, CYP2C9*2/*2 in 2.2%, CYP2C9*2/*3 in 8.8%, and CYP2C9*3/*3 in 1.1% of the patients. The results for VKORC1 were as follows: 49.5% (GG), 28.6% (GA), and 22.0% (AA); meanwhile, those for the genotype CYP4F2 were 57.1% (CC), 34.1% (CT), and 7.7% (TT). No significant deviations from the Hardy-Weinberg equilibrium were observed. The frequency of the polymorphisms in the Russian population was found to differ from Asian and close to Caucasian. There were no significant interethnic variations in the frequency of CYP4F2 among Russian, Asian, and Caucasian populations. Conclusion. The frequency of CYP2C9, CYP4F2, and VKORC1 polymorphisms in Russian patients is comparable with other European ethnic groups.
Rationalism, Empiricism, and Evidence-Based Medicine: A Call for a New Galenic Synthesis
Authors: Webb William M.
Published: April 2018

Thirty years after the rise of the evidence-based medicine (EBM) movement, formal training in philosophy remains poorly represented among medical students and their educators. In this paper, I argue that EBM’s reception in this context has resulted in a privileging of empiricism over rationalism in clinical reasoning with unintended consequences for medical practice. After a limited review of the history of medical epistemology, I argue that a solution to this problem can be found in the method of the 2nd-century Roman physician Galen, who brought empiricism and rationalism together in a synthesis anticipating the scientific method. Next, I review several of the problems that have been identified as resulting from a staunch commitment to empiricism in medical practice. Finally, I conclude that greater epistemological awareness in the medical community would precipitate a Galenic shift toward a more epistemically balanced, scientific approach to clinical research.
Local Deformation and Mn-C Short-Range Ordering in a High-Mn Fe-18Mn-0.6C Steel
Authors: Song Wenwen , Houston Judith E.
Published: April 2018

The localized deformation in the high-Mn austenitic Fe-18Mn-0.6C (wt %) steel manifests itself as serrations in the stress–strain curves and Portevin–Le Chatelier (PLC) bands characterized by digital image correlation (DIC) analysis in uniaxial tensile tests. The serrated flow is correlated with the nucleation, propagation and dying away of PLC bands. The PLC band velocity decreases with increasing strain. In this present study, the Mn-C short-range ordering (SRO) was analyzed quantitatively using small angle neutron scattering (SANS) in Fe-18Mn-0.6C steel. The size and number density of the Mn-C SRO were determined as a function of engineering strain at room temperature. The mean radius of the Mn-C SRO decreases, while the number density increases when there is an increase in the engineering strain. The influence of PLC bands on Mn-C SRO in tensile tests was further discussed.
Molecular Simulation of Minerals-Asphalt Interfacial Interaction
Authors: Luo Daisong , Guo Meng , Tan Yiqiu
Published: April 2018

The interfacial interaction between asphalt binder and mineral aggregate makes different components have different diffusion behavior. It influences the performance of interface and consequently that of the mix. In this research, the models of four asphalt components (asphaltene, resin, aromatics and saturate) and five minerals were constructed individually, and then the Al2O3-asphalt interface model was constructed by adding the asphalt layer and mineral layer together. The interfacial behavior at molecular scale was simulated by setting boundary conditions, optimizing the structure and canonical ensemble. The mean square displacement (MSD) and diffusion coefficient of particles were selected as indicators to study the diffusion of asphalt components on the surface of Al2O3. The results show that when the temperature was 65 °C, asphalt binder showed more viscosity, the diffusion speed of asphalt components ranked according to their molecular mass, which was saturate > aromatics > resin > asphaltene. At 25 °C and 165 °C, the resin had the fastest diffusion speed, which was nearly twice of asphaltene. The interaction between asphalt components and Al2O3 mineral surface can make the diffusion of asphalt components independent on temperature.
Growth Behavior and Size Characterization of Metallic Iron Particles in Coal-Based Reduction of Oolitic Hematite–Coal Composite Briquettes
Authors: Li Yanfeng , Han Yuexin , Sun Yongsheng , Gao Peng , Li Yanjun , Gong Guichen
Published: April 2018

To reveal the growth behavior and size characterization of iron particles in coal-based reduction, we reduced oolitic hematite–coal composite briquettes at various temperatures, durations and ore size fractions. The degree of metallization and microstructure of the reduced briquettes and the characteristic of iron particle size were investigated through chemical composition analysis, scanning electron microscopy, energy dispersive spectroscopy, and Bgrimm process mineralogy analysis. Results showed that iron oxides in the oolitic hematite ore were reduced to metallic iron from outer to inner layers; these oxides gradually grew into quasi-spherical iron particles with random distribution in the gangue. As reduction continued, iron grains agglomerated occurred, and iron particle clusters were formed in the form of quasi-spherical, chained, blocky, and clavate when they were viewed in the cross section. The boundaries among the iron grains of the iron particle cluster continuously faded and disappeared, and an iron particle with increased size and homogeneity was finally produced. The reduction temperature, time, and ore size fraction influenced the reduction of composite briquettes and iron particle size. The degree of metallization increased as reduction temperature was increased, reduction time was extended, or ore size fraction was decreased until the equilibrium of reaction was achieved. Moreover, the iron particle size gradually increased as reduction temperature was increased, reduction time was extended, or ore size fraction was decreased.
To Decipher the Mycoplasma hominis Proteins Targeting into the Endoplasmic Reticulum and Their Implications in Prostate Cancer Etiology Using Next-Generation Sequencing Data
Authors: Zakariah Mohammed , Khan Shahanavaj , Chaudhary Anis Ahmad , Rolfo Christian , Ben Ismail Mohamed Maher , Alotaibi Yousef Ajami
Published: April 2018

Cancer was initially considered a genetic disease. However, recent studies have revealed the connection between bacterial infections and growth of different types of cancer. The enteroinvasive strain of Mycoplasma hominis alters the normal behavior of host cells that may result in the growth of prostate cancer. The role of M. hominis in the growth and development of prostate cancer still remains unclear. The infection may regulate several factors that influence prostate cancer growth in susceptible individuals. The aim of this study was to predict M. hominis proteins targeted into the endoplasmic reticulum (ER) of the host cell, and their potential role in the induction of prostate cancer. From the whole proteome of M. hominis, 19 proteins were predicted to be targeted into the ER of host cells. The results of our study predict that several proteins of M. hominis may be targeted to the host cell ER, and possibly alter the normal pattern of protein folding. These predicted proteins can modify the normal function of the host cell. Thus, the intercellular infection of M. hominis in host cells may serve as a potential factor in prostate cancer etiology.
Synthesis and Acaricidal Activities of Scopoletin Phenolic Ether Derivatives: QSAR, Molecular Docking Study and in Silico ADME Predictions
Authors: Luo Jinxiang , Lai Ting , Guo Tao , Chen Fei , Zhang Linli , Ding Wei , Zhang Yongqiang
Published: April 2018

Thirty phenolic ether derivatives of scopoletin modified at the 7-hydroxy position were synthesized, and their structures were confirmed by IR, 1H-NMR, 13C-NMR, MS and elemental analysis. Preliminary acaricidal activities of these compounds against female adults of Tetranychus cinnabarinus (Boisduval) were evaluated using the slide-dip method. The results indicated that some of these compounds exhibit more pronounced acaricidal activity than scopoletin, especially compounds 32, 20, 28, 27 and 8 which exhibited about 8.41-, 7.32-, 7.23-, 6.76-, and 6.65-fold higher acaricidal potency. Compound 32 possessed the the most promising acaricidal activity and exhibited about 1.45-fold higher acaricidal potency against T. cinnabarinus than propargite. Statistically significant 2D-QSAR model supports the observed acaricidal activities and reveals that polarizability (HATS5p) was the most important parameter controlling bioactivity. 3D-QSAR (CoMFA: q2 = 0.802, r2 = 0.993; CoMSIA: q2 = 0.735, r2 = 0.965) results show that bulky substituents at R4, R1, R2 and R5 (C6, C3, C4, and C7) positions, electron positive groups at R5 (C7) position, hydrophobic groups at R1 (C3) and R2 (C4), H-bond donors groups at R1 (C3) and R4 (C6) will increase their acaricidal activity, which provide a good insight into the molecular features relevant to the acaricidal activity for further designing novel acaricidal agents. Molecular docking demonstrates that these selected derivatives display different bide modes with TcPMCA1 from lead compound and they interact with more key amino acid residues than scopoletin. In silico ADME properties of scopoletin and its phenolic ether derivatives were also analyzed and showed potential to develop as good acaricidal candidates.
Scale-Up Synthesis and Identification of GLYX-13, a NMDAR Glycine-Site Partial Agonist for the Treatment of Major Depressive Disorder
Authors: Li Wenchao , Liu Jingjian , Fan Minghua , Li Zhongtang , Chen Yin , Zhang Guisen , Huang Zhuo , Zhang Liangren
Published: April 2018

GLYX-13, a NMDAR glycine-site partial agonist, was discovered as a promising antidepressant with rapidly acting effects but no ketamine-like side effects. However, the reported synthetic process route had deficiencies of low yield and the use of unfriendly reagents. Here, we report a scaled-up synthesis of GLYX-13 with an overall yield of 30% on the hectogram scale with a column chromatography-free strategy, where the coupling and deprotection reaction conditions were systematically optimized. Meanwhile, the absolute configuration of precursor compound of GLYX-13 was identified by X-ray single crystal diffraction. Finally, the activity of GLYX-13 was verified in the cortical neurons of mice through whole-cell voltage-clamp technique.
The Tryptophan Decarboxylase in Solanum lycopersicum
Authors: Pang Xin , Wei Yanping , Cheng Yuan , Pan Luzhao , Ye Qingjing , Wang Rongqing , Ruan Meiying , Zhou Guozhi , Yao Zhuping , Li Zhimiao , Yang Yuejian , Liu Weicheng , Wan Hongjian
Published: April 2018

Melatonin plays an important role in plant growth, development, and environmental stress. In this study, a systematic analysis of tomato tryptophan decarboxylase (SlTrpDC), which is the first enzyme of melatonin biosynthesis, was conducted by integrating structural features, phylogenetic relationships, an exon/intron feature, and a divergent expression profile. The results determined that the tomato genome encoded five members (SlTrpDC1-SlTrpDC5). The phylogenetic relationships indicated that gene expansion was proposed as the major mode of evolution of the TrpDC genes from the different plant algae species to the higher plants species. The analyses of the exon/intron configurations revealed that the intron loss events occurred during the structural evolution of the TrpDCs in plants. Additionally, the RNA-seq and qRT-PCR analysis revealed that the expression of the SlTrpDC3 was high in all of the tested tissues, while the SlTrpDC4 and SlTrpDC5 were not expressed. The expression patterns of the remaining two (SlTrpDC1 and SlTrpDC2) were tissue-specific, which indicated that these genes may play important roles within the different tissues. No expression difference was observed in the tomato plants in response to the biotic stresses. This study will expand the current knowledge of the roles of the TrpDC genes in tomato growth and development.
Cationic Liposomes Carrying siRNA: Impact of Lipid Composition on Physicochemical Properties, Cytotoxicity and Endosomal Escape
Authors: Lechanteur Anna , Sanna Vincent , Duchemin Amandine , Evrard Brigitte , Mottet Denis , Piel Géraldine
Published: April 2018

In recent year, cationic liposomes have gained a lot of attention for siRNA delivery. Despite this, intracellular barriers as endosomal escape and cytosolic delivery of siRNA still represent a challeng, as well as the cytotoxicity due to cationic lipids. To address these issues, we developed four liposomal formulations, composed of two different cationic lipids (DOTAP and DC-Cholesterol) and different ratio of co-lipids (cholesterol and DOPE). The objective is to dissect these impacts on siRNA efficacy and cytotoxicity. Liposomes were complexed to siRNA at six different N/P molar ratios, physico-chemical properties were characterized, and consequently, N/P 2.5, 5 and 10 were selected for in vitro experiments. We have shown that cytotoxicity is influenced by the N/P ratio, the concentration of cationic lipid, as well as the nature of the cationic lipid. For instance, cell viability decreased by 70% with liposomes composed of DOTAP/Cholesterol/DOPE 1/0.75/0.5 at a N/P ratio 10, whereas the same formulation at a N/P ratio of 2.5 was safe. Interestingly, we have observed differences in terms of mRNA knock-down efficiency, whereas the transfection rate was quite similar for each formulation. Liposomes containing 50% of DOPE induced a mRNA silencing of around 80%. This study allowed us to highlight crucial parameters in order to develop lipoplexes which are safe, and which induce an efficient intracytoplasmic release of siRNA.
Enhanced Photocatalytic Activity of {110}-Faceted TiO2 Rutile Nanorods in the Photodegradation of Hazardous Pharmaceuticals
Authors: Huyen Tran Thi Thuong , Chi Tran Thi Kim , Dung Nguyen Duc , Kosslick Hendrik , Liem Nguyen Quang
Published: April 2018

Rutile TiO2 with highly active facets has attracted much attention owing to its enhanced activity during the photocatalytic degradation of pollutants such as pharmaceuticals in wastewater. However, it is difficult to obtain by controlling the synthetic conditions. This paper reports a simple hydrothermal synthesis of rutile TiO2 nanorods with highly exposed {110} facets. The obtained rutile was characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), high-resolution transmission electron microscopy (HR-TEM), and Raman spectroscopy. The main contribution to the photocatalytic activity comes from rutile nanorods with highly dominant active {110} facets, which were studied in the photodegradation of reactive cinnamic acid and more recalcitrant ibuprofen. The contribution of active species was also investigated. The present work further confirmed the hydrothermal synthesis route for controlling the preparation of highly crystalline and active rutile nanocrystals.
Inulin Improves Postprandial Hypertriglyceridemia by Modulating Gene Expression in the Small Intestine
Authors: Hiel Sophie , Neyrinck Audrey M. , Rodriguez Julie , Pachikian Barbara D. , Bouzin Caroline , Thissen Jean-Paul , Cani Patrice D. , Bindels Laure B. , Delzenne Nathalie M.
Published: April 2018

Postprandial hyperlipidemia is an important risk factor for cardiovascular diseases in the context of obesity. Inulin is a non-digestible carbohydrate, known for its beneficial properties in metabolic disorders. We investigated the impact of inulin on postprandial hypertriglyceridemia and on lipid metabolism in a mouse model of diet-induced obesity. Mice received a control or a western diet for 4 weeks and were further supplemented or not with inulin for 2 weeks (0.2 g/day per mouse). We performed a lipid tolerance test, measured mRNA expression of genes involved in postprandial lipid metabolism, assessed post-heparin plasma and muscle lipoprotein lipase activity and measured lipid accumulation in the enterocytes and fecal lipid excretion. Inulin supplementation in western diet-fed mice decreases postprandial serum triglycerides concentration, decreases the mRNA expression levels of Cd36 (fatty acid receptor involved in lipid uptake and sensing) and apolipoprotein C3 (Apoc3, inhibitor of lipoprotein lipase) in the jejunum and increases fecal lipid excretion. In conclusion, inulin improves postprandial hypertriglyceridemia by targeting intestinal lipid metabolism. This work confirms the interest of using inulin supplementation in the management of dyslipidemia linked to obesity and cardiometabolic risk.
Vitamin D Requirements for the Future—Lessons Learned and Charting a Path Forward
Authors: Cashman Kevin D.
Published: April 2018

Estimates of dietary requirements for vitamin D or Dietary Reference Values (DRV) are crucial from a public health perspective in providing a framework for prevention of vitamin D deficiency and optimizing vitamin D status of individuals. While these important public health policy instruments were developed with the evidence-base and data available at the time, there are some issues that need to be clarified or considered in future iterations of DRV for vitamin D. This is important as it will allow for more fine-tuned and truer estimates of the dietary requirements for vitamin D and thus provide for more population protection. The present review will overview some of the confusion that has arisen in relation to the application and/or interpretation of the definitions of the Estimated Average Requirement (EAR) and Recommended Dietary Allowance (RDA). It will also highlight some of the clarifications needed and, in particular, how utilization of a new approach in terms of using individual participant-level data (IPD), over and beyond aggregated data, from randomised controlled trials with vitamin D may have a key role in generating these more fine-tuned and truer estimates, which is of importance as we move towards the next iteration of vitamin D DRVs.
Numerical Analysis of H-PDLC Using the Split-Field Finite-Difference Time-Domain Method
Authors: Bleda Sergio , Francés Jorge , Gallego Sergi , Márquez Andrés , Neipp Cristian , Pascual Inmaculada , Beléndez Augusto
Published: April 2018

In this work, an accurate numerical modeling of the diffraction properties of transmission holographic polymer dispersed liquid crystal (H-PDLC) gratings is presented. The method considers ellipsoid geometry-based liquid crystal (LC) droplets with random properties regarding size and location across the H-PLDC layer and also the non-homogeneous orientation of the LC director within the droplet. The direction of the LC director inside the droplets can be varied to reproduce the effects of the external voltage applied in H-PDLC-based gratings. From the LC director distribution in the droplet, the permittivity tensor is defined, which establishes the optical anisotropy of the media, and it is used for numerically solving the light propagation through the system. In this work, the split-field finite-difference time-domain method (SF-FDTD) is applied. This method is suited for accurately analyzing periodic media, and it considers spatial and time discretisation of Maxwell’s equations. The scheme proposed here is used to investigate the influence on the diffraction properties of H-PDLC as a function of the droplets size and the bulk fraction of LC dispersed material.
Chitosan Composites Synthesized Using Acetic Acid and Tetraethylorthosilicate Respond Differently to Methylene Blue Adsorption
Authors: Essel Thomas , Koomson Albert , Seniagya Marie-Pearl , Cobbold Grace , Kwofie Samuel , Asimeng Bernard , Arthur Patrick , Awandare Gordon , Tiburu Elvis
Published: April 2018

The sol-gel and cross-linking processes have been used by researchers to synthesize silica-based nanostructures and optimize their size and morphology by changing either the material or the synthesis conditions. However, the influence of the silica nanostructures on the overall physicochemical and mechanistic properties of organic biopolymers such as chitosan has received limited attention. The present study used a one-step synthetic method to obtain chitosan composites to monitor the uptake and release of a basic cationic dye (methylene blue) at two different pH values. Firstly, the composites were synthesized and characterized by Fourier Transform Infrared Spectroscopy (FTIR) and X-ray Diffraction (XRD) to ascertain their chemical identity. Adsorption studies were conducted suing methylene blue and these studies revealed that Acetic Acid-Chitosan (AA-CHI), Tetraethylorthosilicate-Chitosan (TEOS-CHI), Acetic Acid-Tetraethylorthosilicate-Chitosan (AA-TEOS-CHI), and Acetic Acid-Chitosan-Tetraethylorthosilicate (AA-CHI-TEOS) had comparatively lower percentage adsorbances in acidic media after 40 h, with AA-CHI adsorbing most of the methylene blue dye. In contrast, these materials recorded higher percentage adsorbances of methylene blue in the basic media. The release profiles of these composites were fitted with an exponential model. The R-squared values obtained indicated that the AA-CHI at pH ~ 2.6 and AA-TEOS-CHI at pH ~ 7.2 of methylene blue had steady and consistent release profiles. The release mechanisms were analyzed using Korsmeyer-Peppas and Hixson-Crowell models. It was deduced that the release profiles of the majority of the synthesized chitosan beads were influenced by the conformational or surface area changes of the methylene blue. This was justified by the higher correlation coefficient or Pearson’s R values (R ≥ 0.5) computed from the Hixson-Crowell model. The results from this study showed that two of the novel materials comprising acetic acid-chitosan and a combination of equimolar ratios of acetic acid-TEOS-chitosan could be useful pH-sensitive probes for various biomedical applications, whereas the other materials involving the two-step synthesis could be found useful in environmental remediation of toxic materials.
Thermal Study of Polyols for the Technological Application as Plasticizers in Food Industry
Authors: Toxqui-Terán Alberto , Leyva-Porras César , Ruíz-Cabrera Miguel Ángel , Cruz-Alcantar Pedro , Saavedra-Leos María Zenaida
Published: April 2018

In this work is presented the complete thermal analysis of polyols by direct methods such as simultaneous thermogravimetric and differential thermal analyzer (TGA-DTA), differential scanning calorimetry (DSC), modulated DSC (MDSC), and supercooling MDSC. The different thermal events in the temperature range of 113–553 K were identified for glycerol (GL), ethylene glycol (EG), and propylene glycol (PG). Boiling temperature (TB) decreased as GL > EG > PG, but increased with the heating rate. GL showed a complex thermal event at 191–199 K, identified as the glass transition temperature (Tg) and devitrification temperature (Tdv), and a liquid–liquid transition (TL-L) at 215–221 K was identified as the supercooling temperature. EG showed several thermal events such as Tg and Tdv at 154 K, crystallization temperature (Tc) at 175 K, and melting temperature (Tm) at 255 K. PG also showed a complex thermal event (Tg and Tdv) at 167 K, a second devitrification at 193 K, and TL-L at 245 K. For PG, crystallization was not observed, indicating that, during the cooling, the liquid remained as an amorphous solid.
Solid-State Polymerization of Poly(Ethylene Furanoate) Biobased Polyester, II: An Efficient and Facile Method to Synthesize High Molecular Weight Polyester Appropriate for Food Packaging Applications
Authors: Kasmi Nejib , Papageorgiou George Z. , Achilias Dimitris S. , Bikiaris Dimitrios N.
Published: April 2018

The goal of this study was to synthesize, through a facile strategy, high molecular weight poly(ethylene furanoate) (PEF), which could be applicable in food packaging applications. The efficient method to generate PEF with high molecular weight consists of carrying out a first solid-state polycondensation under vacuum for 6 h reaction time at 205 °C for the resulting polymer from two-step melt polycondensation process, which is catalyzed by tetrabutyl titanate (TBT). A remelting step was thereafter applied for 15 min at 250 °C for the obtained polyester. Thus, the PEF sample was ground into powder, and was then crystallized for 6 h at 170 °C. This polyester is then submitted to a second solid-state polycondensation (SSP) carried out at different reaction times (1, 2, 3.5, and 5 h) and temperatures 190, 200, and 205 °C, under vacuum. Ultimately, a significant increase in intrinsic viscosity is observed with only 5 h reaction time at 205 °C during the second SSP being needed to obtain very high molecular weight PEF polymer greater than 1 dL/g, which sufficient for manufacturing purposes. Intrinsic viscosity (IV), carboxyl end-group content (–COOH), and thermal properties, via differential scanning calorimetry (DSC), were measured for all resultant polyesters. Thanks to the post-polymerization process, DSC results showed that the melting temperatures of the prepared PEF samples were steadily enhanced in an obvious way as a function of reaction time and temperature increase. It was revealed, as was expected for all SSP samples, that the intrinsic viscosity and the average molecular weight of PEF polyester increased with increasing SSP time and temperature, whereas the number of carboxyl end-group concentration was decreased. A simple kinetic model was also developed and used to predict the time evolution of polyesters IV, as well as the carboxyl and hydroxyl end-groups of PEF during the SSP.
Assessing Error Correlations in Remote Sensing-Based Estimates of Forest Attributes for Improved Composite Estimation
Authors: Ehlers Sarah , Saarela Svetlana , Lindgren Nils , Lindberg Eva , Nyström Mattias , Persson Henrik J. , Olsson Håkan , Ståhl Göran
Published: April 2018

Today, non-expensive remote sensing (RS) data from different sensors and platforms can be obtained at short intervals and be used for assessing several kinds of forest characteristics at the level of plots, stands and landscapes. Methods such as composite estimation and data assimilation can be used for combining the different sources of information to obtain up-to-date and precise estimates of the characteristics of interest. In composite estimation a standard procedure is to assign weights to the different individual estimates inversely proportional to their variance. However, in case the estimates are correlated, the correlations must be considered in assigning weights or otherwise a composite estimator may be inefficient and its variance be underestimated. In this study we assessed the correlation of plot level estimates of forest characteristics from different RS datasets, between assessments using the same type of sensor as well as across different sensors. The RS data evaluated were SPOT-5 multispectral data, 3D airborne laser scanning data, and TanDEM-X interferometric radar data. Studies were made for plot level mean diameter, mean height, and growing stock volume. All data were acquired from a test site dominated by coniferous forest in southern Sweden. We found that the correlation between plot level estimates based on the same type of RS data were positive and strong, whereas the correlations between estimates using different sources of RS data were not as strong, and weaker for mean height than for mean diameter and volume. The implications of such correlations in composite estimation are demonstrated and it is discussed how correlations may affect results from data assimilation procedures.
Wind Turbine Wake Characterization with Nacelle-Mounted Wind Lidars for Analytical Wake Model Validation
Authors: Carbajo Fuertes Fernando , Markfort Corey D. , Porté-Agel Fernando
Published: April 2018

This study presents the setup, methodology and results from a measurement campaign dedicated to the characterization of full-scale wind turbine wakes under different inflow conditions. The measurements have been obtained from two pulsed scanning Doppler lidars mounted on the nacelle of a 2.5 MW wind turbine. The first lidar is upstream oriented and dedicated to the characterization of the inflow with a variety of scanning patterns, while the second one is downstream oriented and performs horizontal planar scans of the wake. The calculated velocity deficit profiles exhibit self-similarity in the far wake region and they can be fitted accurately to Gaussian functions. This allows for the study of the growth rate of the wake width and the recovery of the wind speed, as well as the extent of the near-wake region. The results show that a higher incoming turbulence intensity enhances the entrainment and flow mixing in the wake region, resulting in a shorter near-wake length, a faster growth rate of the wake width and a faster recovery of the velocity deficit. The relationships obtained are compared to analytical models for wind turbine wakes and allow to correct the parameters prescribed until now, which were obtained from wind-tunnel measurements and large-eddy simulations (LES), with new, more accurate values directly derived from full-scale experiments.
Residual Error Based Anomaly Detection Using Auto-Encoder in SMD Machine Sound
Authors: Oh Dong Yul , Yun Il Dong
Published: April 2018

Detecting an anomaly or an abnormal situation from given noise is highly useful in an environment where constantly verifying and monitoring a machine is required. As deep learning algorithms are further developed, current studies have focused on this problem. However, there are too many variables to define anomalies, and the human annotation for a large collection of abnormal data labeled at the class-level is very labor-intensive. In this paper, we propose to detect abnormal operation sounds or outliers in a very complex machine along with reducing the data-driven annotation cost. The architecture of the proposed model is based on an auto-encoder, and it uses the residual error, which stands for its reconstruction quality, to identify the anomaly. We assess our model using Surface-Mounted Device (SMD) machine sound, which is very complex, as experimental data, and state-of-the-art performance is successfully achieved for anomaly detection.
Infrastructure for Integration of Legacy Electrical Equipment into a Smart-Grid Using Wireless Sensor Networks
Authors: De Araújo Paulo Régis C. , Filho Raimir Holanda , Rodrigues Joel J. P. C. , Oliveira João P. C. M. , Braga Stephanie A.
Published: April 2018

At present, the standardisation of electrical equipment communications is on the rise. In particular, manufacturers are releasing equipment for the smart grid endowed with communication protocols such as DNP3, IEC 61850, and MODBUS. However, there are legacy equipment operating in the electricity distribution network that cannot communicate using any of these protocols. Thus, we propose an infrastructure to allow the integration of legacy electrical equipment to smart grids by using wireless sensor networks (WSNs). In this infrastructure, each legacy electrical device is connected to a sensor node, and the sink node runs a middleware that enables the integration of this device into a smart grid based on suitable communication protocols. This middleware performs tasks such as the translation of messages between the power substation control centre (PSCC) and electrical equipment in the smart grid. Moreover, the infrastructure satisfies certain requirements for communication between the electrical equipment and the PSCC, such as enhanced security, short response time, and automatic configuration. The paper’s contributions include a solution that enables electrical companies to integrate their legacy equipment into smart-grid networks relying on any of the above mentioned communication protocols. This integration will reduce the costs related to the modernisation of power substations.
Theoretical Design of a Two-Photon Fluorescent Probe for Nitric Oxide with Enhanced Emission Induced by Photoninduced Electron Transfer
Authors: Zhang Yujin , Leng Jiancai , Hu Wei
Published: April 2018

In the present work, we systematically investigate the sensing abilities of two recently literature-reported two-photon fluorescent NO probes, i.e., the o-phenylenediamine derivative of Nile Red and the p-phenylenediamine derivative of coumarin. The recognition mechanisms of these probes are studied by using the molecular orbital classifying method, which demonstrates the photoinduced electron transfer process. In addition, we have designed two new probes by swapping receptor units present on fluorophores, i.e., the p-phenylenediamine derivative of Nile Red and the o-phenylenediamine derivative of coumarin. However, it illustrates that only the latter has ability to function as off-on typed fluorescent probe for NO. More importantly, calculations on the two-photon absorption properties of the probes demonstrate that both receptor derivatives of coumarin possess larger TPA cross-sections than Nile Red derivatives, which makes a better two photon fluorescent probe. Our theoretical investigations reveal that the underlying mechanism satisfactorily explain the experimental results, providing a theoretical basis on the structure-property relationships which is beneficial to developing new two-photon fluorescent probes for NO.
Gait Shear and Plantar Pressure Monitoring: A Non-Invasive OFS Based Solution for e-Health Architectures
Authors: Tavares Cátia , Domingues M. Fátima , Frizera-Neto Anselmo , Leite Tiago , Leitão Cátia , Alberto Nélia , Marques Carlos , Radwan Ayman , Rocon Eduardo , André Paulo , Antunes Paulo
Published: April 2018

In an era of unprecedented progress in sensing technology and communication, health services are now able to closely monitor patients and elderly citizens without jeopardizing their daily routines through health applications on their mobile devices in what is known as e-Health. Within this field, we propose an optical fiber sensor (OFS) based system for the simultaneous monitoring of shear and plantar pressure during gait movement. These parameters are considered to be two key factors in gait analysis that can help in the early diagnosis of multiple anomalies, such as diabetic foot ulcerations or in physical rehabilitation scenarios. The proposed solution is a biaxial OFS based on two in-line fiber Bragg gratings (FBGs), which were inscribed in the same optical fiber and placed individually in two adjacent cavities, forming a small sensing cell. Such design presents a more compact and resilient solution with higher accuracy when compared to the existing electronic systems. The implementation of the proposed elements into an insole is also described, showcasing the compactness of the sensing cells, which can easily be integrated into a non-invasive mobile e-Health solution for continuous remote gait monitoring of patients and elder citizens. The reported results show that the proposed system outperforms existing solutions, in the sense that it is able to dynamically discriminate shear and plantar pressure during gait.
Quantification of 6-Mercaptopurine and Its Metabolites in Patients with Acute Lympoblastic Leukemia Using Dried Blood Spots and UPLC-MS/MS
Authors: Supandi Supandi , Harahap Yahdiana , Harmita Harmita , Andalusia Rizka
Published: April 2018

This research aimed to quantitatively bioanalyze 6-mercaptopurine (6-MP), 6-methylmercaptopurine (6-MMP), and 6-thioguanosine-5′-monophosphate (6-TGMP) in dried blood spots (DBS) prepared from a small volume of acute lymphoblastic leukemia (ALL) patients. Analytes on the DBS card were extracted using 90% methanol with 5-fluorouracil (5-FU) as an internal standard. Analytical separation was performed on a Waters Acquity® UPLC BEH AMIDA column of 1.7 μm (2.1 × 100 mm) with a mobile phase mixture of 0.2% formic acid in water and 0.1% formic acid in acetonitrile-methanol, with gradient elution and a flow rate of 0.2 mL/min. Mass detection of 6-MP, 6-MMP, 6-TGMP, and 5-FU showed m/z values of 153.09 > 119.09, 167.17 > 126.03, 380.16 > 168.00, and 129.09 > 42.05, respectively. This DBS method had a run time of 5 min and yielded a linear calibration curve over a range of 25.5–1020 ng/mL for 6-MP, 6-MMP, and 6-TGMP. Analyte analysis in 22 of 24 ALL patients showed that the measured value of 6-TGMP as an active metabolite was in the range of 29–429 pmol/8 × 108 erythrocytes. Five of 22 patients had concentrations in a therapeutic range, which indicates that the treatment is effective, while 17 of 24 patients had concentrations below the therapeutic range, which indicates that a treatment dose adjustment is needed. The measured value of 6-MMP, an inactive metabolite, was in the range of 28–499 pmol/8 × 108 erythrocytes, which includes concentrations below the hepatotoxic range. The method employed here can thus be effectively utilized to support therapeutic drug monitoring.
A Multi-Level Analysis on School Connectedness, Family Support, and Adolescent Depression: Evidence from the National Longitudinal Study of Adolescent Health, 1995–1996
Authors: Zhu Lin
Published: April 2018

Objective: The purpose of this study is to gain insight into the effect of family support, school connectedness, and school environments on depressive symptoms among adolescents across racial/ethnic groups on both the student-level and school-level. Method: This study uses a sample of 4228 students (2122 girls and 2016 boys) from the public use data of the National Longitudinal Study of Adolescent Health. Students were measured at two time points (one year apart) on school connectedness, family support, socio-demographic factors, and the Center for Epidemiological Studies’ Depression Scale. Hierarchical Linear Modeling was used to examine potential predictors on adolescent depressive symptoms. This is, to the best of the author’s knowledge, the first study to examine the interplay of school connectedness, school racial composition, and adolescent depression. Results: School connectedness partially mediates the effects of family support on depressive symptoms, but both remain strong predictors of depressive symptoms. African American adolescents are the only racial/ethnic group that has constantly higher CES-D scores than the non-Hispanic white adolescents. School-level connectedness is positively related to students’ depressive symptoms. The racial composition of a school has different effects on students’ depressive symptoms on student’s race. Conclusions: Low perceived family support, low school connectedness, being female, and being African American are consistently associated with greater depressive symptoms one year later. The overall level of school connectedness of a school is found to be related with greater individual student’s depressive symptoms, while the effects of school proportion of minority students on students’ depressive symptoms differ significantly across the race/ethnicity of students. Future study is needed to explore the association between racial/ethnic segregation and adolescent depression while considering students’ racial/ethnic status.
A Sustainable Land Utilization Pattern for Confirming Integrity of Economic and Ecological Objectives under Uncertainties
Authors: Zeng Xueting , Cui Liang , Tan Qian , Li Zhong , Huang Guohe
Published: April 2018

In this study, an integrated crop–forest system with market approach (ICFM) associated with recovering forest and withdrawing cultivation was developed for confirming regional integrity of economic and ecological objectives under uncertainties. A mixed quadratic stochastic-fuzzy programming method (QSF) was proposed for planning an ICFM issue under uncertainties. QSF can not only deal with spatial and temporal variations of meteorological condition, but also handle uncertainties expressed in terms of probability distributions and fuzzy sets. Meanwhile, it can also tackle nonlinear relationships between land resource plan and economic data. The developed QSF was applied to an ICFM issue in Xixian county, China. The results of adverse effects from irrigation, ecological effects from forest, land utilization with market approach and optimal system benefits were obtained. It can facilitate policymakers to adjust current land utilization with market approach to improve the productivities of land resources. The tradeoff between crop irrigation and forest protection can prompt generation of optimized plans with consideration of economic and ecological objectives, which can be availed to generate strategies for confirming integrity of socio-economic and eco-environmental sustainability.
Coordination in International Manufacturing: The Role of Competitive Priorities and the Focus of Globally Dispersed Facilities
Authors: Sayem Ahmed , Feldmann Andreas , Ortega-Mier Miguel
Published: April 2018

In this era of globalization, network integration has received great attention, as it certainly has implications for the competitiveness in international manufacturing. A key issue in integration is to coordinate activities of dispersed facilities in a way to align the target of locating abroad and the priorities to be competitive. This study explores and clarifies the effect of competitive priority and focus of dispersed facilities on coordinating the activities in intra-firm network manufacturing. Based on a multiple case study involving four different companies manufacturing in globally dispersed facilities, the results confirm that both competitive priorities and specific focus of global manufacturing are important for selecting mechanisms to coordinate overseas facilities, with the competitive priorities ‘quality’ and ‘flexibility’ being the more important. Furthermore, the findings reveal that companies place emphasis on informal mechanisms to coordinate the low-cost focused facilities. In turn, the importance of formal mechanisms seems equal for coordinating both low-cost focused facilities and those focused on capturing a local market. Finally, the findings of this paper suggest that elements of competitive priority, as well as the focus of dispersed facilities, should be considered towards making the choice for mechanisms of coordination. The findings bear important implications for the effective coordination of activities in international manufacturing.
An Exploration of the Impacts of Compulsory Source-Separated Policy in Improving Household Solid Waste-Sorting in Pilot Megacities, China: A Case Study of Nanjing
Authors: Chen Fu , Li Xiaoxiao , Ma Jing , Yang Yongjun , Liu Gang-Jun
Published: April 2018

Source-separated policy is very important for household solid waste (HSW) management in global megacities. The low proportion of source-separated collection has led to a low comprehensive utilization rate of municipal solid waste (MSW) in China. In March 2017, the Chinese government required major cities to fully implement compulsory source-separated systems by 2020. To determine policy impacts and efficiency in improving HSW sorting, the government launched a mandatory MSW source-separated program in Nanjing in November 2016. A household survey was implemented in three types of 11 communities over a period of 10 weeks. The results showed that approximately 52% of the respondents supported the mandatory policy and that household size was the most important sociodemographic factor influencing the support of the source separation policy. Income, gender, age, and knowledge play significant roles in different groups of respondents. This mandatory policy effectively improved the source-separated rate of HSW by 49.7%. Source-separated facilities investment, publicity investment, and special supervision coverage in these communities had significant positive effects on source-separated HSW. Every 1 million CNY investment in source-separated facilities and publicity will increase the source-separated rate of HSW by 1.1%. A 1.0% increase of special supervision coverage in communities can increase the source-separated rate by 3.6%. The findings from this study may help improve source-separated management of HSW for other cities in the future.
Optimal Supply Chain Structural Choice under Horizontal Chain-to-Chain Competition
Authors: Wu Yucai , Wang Jiguang , Li Changhong , Su Kan
Published: April 2018

This paper investigates the horizontal Nash game and structure selection strategy in two competing dominant enterprises. Each firm decides whether to outsource the retail or manufacture to the exclusive third-party enterprise and thus forms a decentralized supply chain structure. On the premise that third-party enterprises have no advantage on sales and manufacture cost, the revenue-sharing contract is introduced between the manufacturer and retailer, and the influence of decentralized structure on the game equilibrium structure and supply chain profit is analyzed based on Hotelling model. The results show that, when compared with centralized structure, decentralized supply chain has the structural advantage to improving not only its supply chain profits but also the competing chain. This interesting insight is counterintuitive to the common “double marginalization” effect and explains the outsourcing strategy from the perspective of supply chain competition. In addition, we find the dominant strategy in the evolutionary game is that both two chains are decentralized or integrated.