bluuebunny/crossref_metadata_2025 huggingface dataset:
Characterization of Photoactive Fe-TiO2 Lime Coatings for Building Protection: The Role of Iron Content
Authors: Kapridaki Chrysi , Xynidis Nikolaos , Vazgiouraki Eleftheria , Kallithrakas-Kontos Nikolaos , Maravelaki-Kalaitzaki Pagona
Published: June 2019

Iron-doped TiO2 nanoparticles, ranging in Fe concentrations from 0.05 up to 1.00% w/w, were synthesized through a simple sol-gel method. Fourier-transform infrared spectroscopy (FTIR), X-ray powder diffraction (XRD), Ultraviolet-Visible (UV-Vis) spectroscopy, nitrogen adsorption−desorption isotherms, X-ray photoelectron spectroscopy (XPS), and X-ray absorption near-edge structure spectroscopy (XANES) were used to characterize the synthesized nanoparticles. The characterization of the Fe-doped TiO2 nanoparticles revealed the predominant presence of anatase crystalline form, as well as the incorporation of the Fe3+ ions into the crystal lattice of TiO2. The photocatalytic assessment of the Fe-doped TiO2 nanoparticles indicated that the low iron doping titania (0.05 and 0.10% w/w) have a positive effect on the photocatalytic degradation of Methyl Orange under visible radiation. Moreover, FTIR monitoring of calcium hydroxide pastes enriched with low Fe-doped TiO2 revealed enhancement of carbonation at both early and later stages. Improved photocatalytic performance and increased lime carbonation, observed in lime coatings with low Fe-doped TiO2 admixtures, established them as invaluable contributors to the protection of the built environment.
Cross-Influence between Intra-Laminar Damages and Fibre Bridging at the Skin–Stringer Interface in Stiffened Composite Panels under Compression
Authors: Russo Angela , Sellitto Andrea , Saputo Salvatore , Acanfora Valerio , Riccio Aniello
Published: June 2019

In this paper, the skin–stringer separation phenomenon that occurs in stiffened composite panels under compression is numerically studied. Since the mode I fracture toughness and, consequently, the skin–stringer separation can be influenced by the fibre bridging phenomenon at the skin–stringer interface, in this study, comparisons among three different material systems with different fibre bridging sensitivities have been carried out. Indeed, a reference material system has been compared, in terms of toughness performance, against two materials with different degrees of sensitivity to fibre bridging. A robust numerical procedure for the delamination assessment has been used to mimic the skin–stringer separation. When analysing the global compressive behaviour of the stiffened panel, intra-laminar damages have been considered in conjunction with skin–stringer debonding to evaluate the effect of the fibre and matrix breakage on the separation between the skin and the stringer for the three analysed material systems. The latter are characterised by different toughness characteristics and fibre bridging sensitivities, resulting in a different material toughness.
Insight on the Interplay between Synthesis Conditions and Thermoelectric Properties of α-MgAgSb
Authors: Camut Julia , Barber Rodriguez Ignacio , Kamila Hasbuna , Cowley Aidan , Sottong Reinhard , Mueller Eckhard , de Boor Johannes
Published: June 2019

α-MgAgSb is a very promising thermoelectric material with excellent thermoelectric properties between room temperature and 300 °C, a range where few other thermoelectric materials show good performance. Previous reports rely on a two-step ball-milling process and/or time-consuming annealing. Aiming for a faster and scalable fabrication route, herein, we investigated other potential synthesis routes and their impact on the thermoelectric properties of α-MgAgSb. We started from a gas-atomized MgAg precursor and employed ball-milling only in the final mixing step. Direct comparison of high energy ball-milling and planetary ball-milling revealed that high energy ball milling already induced formation of MgAgSb, while planetary ball milling did not. This had a strong impact on the microstructure and secondary phase fraction, resulting in superior performance of the high energy ball milling route with an attractive average thermoelectric figure of merit of z T avg = 0.9. We also show that the formation of undesired secondary phases cannot be avoided by a modification of the sintering temperature after planetary ball milling, and discuss the influence of commonly observed secondary phases on the carrier mobility and on the thermoelectric properties of α-MgAgSb.
Poincaré-Type Inequalities for Compact Degenerate Pure Jump Markov Processes
Authors: Hodara Pierre , Papageorgiou Ioannis
Published: June 2019

We aim to prove Poincaré inequalities for a class of pure jump Markov processes inspired by the model introduced by Galves and Löcherbach to describe the behavior of interacting brain neurons. In particular, we consider neurons with degenerate jumps, i.e., which lose their memory when they spike, while the probability of a spike depends on the actual position and thus the past of the whole neural system. The process studied by Galves and Löcherbach is a point process counting the spike events of the system and is therefore non-Markovian. In this work, we consider a process describing the membrane potential of each neuron that contains the relevant information of the past. This allows us to work in a Markovian framework.
An Adaptive Multi-Swarm Competition Particle Swarm Optimizer for Large-Scale Optimization
Authors: Kong Fanrong , Jiang Jianhui , Huang Yan
Published: June 2019

As a powerful tool in optimization, particle swarm optimizers have been widely applied to many different optimization areas and drawn much attention. However, for large-scale optimization problems, the algorithms exhibit poor ability to pursue satisfactory results due to the lack of ability in diversity maintenance. In this paper, an adaptive multi-swarm particle swarm optimizer is proposed, which adaptively divides a swarm into several sub-swarms and a competition mechanism is employed to select exemplars. In this way, on the one hand, the diversity of exemplars increases, which helps the swarm preserve the exploitation ability. On the other hand, the number of sub-swarms adaptively changes from a large value to a small value, which helps the algorithm make a suitable balance between exploitation and exploration. By employing several peer algorithms, we conducted comparisons to validate the proposed algorithm on a large-scale optimization benchmark suite of CEC 2013. The experiments results demonstrate the proposed algorithm is effective and competitive to address large-scale optimization problems.
Approximation of Fixed Points for Suzuki’s Generalized Non-Expansive Mappings
Authors: Ali Javid , Ali Faeem , Kumar Puneet
Published: June 2019

In this paper, we study a three step iterative scheme to approximate fixed points of Suzuki’s generalized non-expansive mappings. We establish some weak and strong convergence results for such mappings in uniformly convex Banach spaces. Further, we show numerically that the considered iterative scheme converges faster than some other known iterations for Suzuki’s generalized non-expansive mappings. To support our claim, we give an illustrative numerical example and approximate fixed points of such mappings using Matlab program. Our results are new and generalize several relevant results in the literature.
Heart Involvement in Inflammatory Rheumatic Diseases: A Systematic Literature Review
Authors: Buleu Florina , Sirbu Elena , Caraba Alexandru , Dragan Simona
Published: June 2019

Introduction: Patients with inflammatory rheumatic diseases have an increased risk of developing cardiovascular manifestations. The high risk of cardiovascular pathology in these patients is not only due to traditional cardiovascular risk factors (age, gender, family history, smoking, sedentary lifestyle, cholesterol), but also to chronic inflammation and autoimmunity. Aim: In this review, we present the mechanisms of cardiovascular comorbidities associated with inflammatory rheumatic diseases, as they have recently been reported by different authors, grouped in electrical abnormalities, valvular, myocardial and pericardial modifications and vascular involvement. Methods: We conducted a systematic search of published literature on the following online databases: EBSCO, ScienceDirect, Scopus and PubMed. Searches were limited to full-text English-language journal articles published between 2010 and 2017 using the following key words: heart, systemic inflammation, autoimmunity, rheumatic diseases and disease activity. After the primary analysis we included 50 scientific articles in this review. Results: The results showed that cardiac manifestations of systemic inflammation can occur frequently with different prevalence in rheumatoid arthritis (RA), systemic lupus erythematosus(SLE), systemic sclerosis(SSc) and ankylosing spondylitis(AS). Rheumatologic diseases can affect the myocardium, cardiac valves, pericardium, conduction system and arterial vasculature. Conclusions: Early detection, adequate management and therapy of specific cardiac involvement are essential in rheumatic disease. Electrocardiographic and echocardiographic evaluation should be performed as routine investigations in patients with inflammatory rheumatic diseases.
Synthesis and Characterization of a High Flux Nanocellulose–Cellulose Acetate Nanocomposite Membrane
Authors: Li Nancy , Zheng Jackie , Hadi Pejman , Yang Mengying , Huang Xiangyu , Ma Hongyang , Walker Harold , Hsiao Benjamin
Published: June 2019

Despite the advantages of membrane processes, their high energy requirement remains a major challenge. Fabrication of nanocomposite membranes by incorporating various nanomaterials in the polymer matrix has shown promise for enhancing membrane flux. In this study, we embed functionalized cellulose nanofibers (CNFs) with high aspect ratios in the polymer matrix to create hydrophilic nanochannels that reduce membrane resistance and facilitate the facile transport of water molecules through the membrane. The results showed that the incorporation of 0.1 wt % CNF into the polymer matrix did not change the membrane flux (~15 L · m − 2 · h − 1 ) and Bovine Serum Albumin (BSA) Fraction V rejection, while increasing the CNF content to 0.3 wt % significantly enhanced the flux by seven times to ~100 L · m − 2 · h − 1 , but the rejection was decreased to 60–70%. Such a change in membrane performance was due to the formation of hydrophilic nanochannels by the incorporation of CNF (corroborated by the SEM images), decreasing the membrane resistance, and thus enhancing the flux. When the concentration of the CNF in the membrane matrix was further increased to 0.6 wt %, no further increase in the membrane flux was observed, however, the BSA rejection was found to increase to 85%. Such an increase in the rejection was related to the electrostatic repulsion between the negatively-charged CNF-loaded nanochannels and the BSA, as demonstrated by zeta potential measurements. SEM images showed the bridging effect of the CNF in the nanochannels with high CNF contents.
Isolation and Immunocharacterization of Lactobacillus salivarius from the Intestine of Wakame-Fed Pigs to Develop Novel “Immunosynbiotics”
Authors: Masumizu Yuki , Zhou Binghui , Kober A.K.M. Humayun , Islam Md. Aminul , Iida Hikaru , Ikeda-Ohtsubo Wakako , Suda Yoshihito , Albarracin Leonardo , Nochi Tomonori , Aso Hisashi , Suzuki Keiichi , Villena Julio , Kitazawa Haruki
Published: June 2019

Emerging threats of antimicrobial resistance necessitate the exploration of effective alternatives for healthy livestock growth strategies. ‘Immunosynbiotics’, a combination of immunoregulatory probiotics and prebiotics with synergistic effects when used together in feed, would be one of the most promising candidates. Lactobacilli are normal residents of the gastrointestinal tract of pigs, and many of them are able to exert beneficial immunoregulatory properties. On the other hand, wakame (Undaria pinnafida), an edible seaweed, has the potential to be used as an immunoregulatory prebiotic when added to livestock feed. Therefore, in order to develop a novel immunosynbiotic, we isolated and characterized immunoregulatory lactobacilli with the ability to utilize wakame. Following a month-long in vivo wakame feeding trial in 8-week-old Landrace pigs (n = 6), sections of intestinal mucous membrane were processed for bacteriological culture and followed by identification of pure colonies by 16S rRNA sequence. Each isolate was characterized in vitro in terms of their ability to assimilate to the wakame and to differentially modulate the expression of interleukin-6 (IL-6) and interferon beta (IFN-β) in the porcine intestinal epithelial (PIE) cells triggered by Toll-like receptor (TLR)-4 and TLR-3 activation, respectively. We demonstrated that feeding wakame to pigs significantly increased the lactobacilli population in the small intestine. We established a wakame-component adjusted culture media that allowed the isolation and characterization of a total of 128 Lactobacilli salivarius colonies from the gut of wakame-fed pigs. Interestingly, several L. salivarius isolates showed both high wakame assimilation ability and immunomodulatory capacities. Among the wakame assimilating isolates, L. salivarius FFIG71 showed a significantly higher capacity to upregulate the IL-6 expression, and L. salivarius FFIG131 showed significantly higher capacity to upregulate the IFN-β expression; these could be used as immunobiotic strains in combination with wakame for the development of novel immunologically active feeds for pigs.
A Study of Bubble Mineralization by Modified Glass Microspheres Based on a High-Speed Dynamic Microscopic Test System
Authors: Zhang Fanfan , Cao Yijun , Yan Xiaokang , Wang Lijun , Xu Yajun
Published: June 2019

The microscopic study of bubble mineralization is an important means of flotation theory research. In order to visualize the research process, it is required that the particles have certain optical properties and the amount of bubbles is controllable. In this paper, the particles were glass microspheres modified with trimethylchlorosilane (TMCS). The modification effect was confirmed by Fourier-transform infrared spectroscopy (FTIR), contact angle measurements, and a flotation test. The FTIR analysis and flotation test verified that the functional group (-OH) of glass microspheres reacted with the functional group (-Si-Cl) of TMCS and that the glass microsphere surface was successfully modified. The results also showed that the contact angle and hydrophobicity of the glass microspheres of a given size increased with the increase of TMCS. A small glass microsphere required more TMCS during the modification step in order to have the same contact angle as a large glass microsphere. The microscopic process of bubble mineralization was captured by a high-speed dynamic analysis system. The probability of collision between large glass microspheres and bubbles was high, but so was the probability that the microspheres would detach from the bubble. Both the collision probability and the detachment probability between small glass microspheres and bubbles were small, and small glass microspheres were easily affected by the flotation fluid. Besides, small bubbles and fine glass microspheres had a higher flotation recovery than coarse glass microspheres and large bubbles.
Conformational Studies of Glucose Transporter 1 (GLUT1) as an Anticancer Drug Target
Authors: Almahmoud Suliman , Wang Xiaofang , Vennerstrom Jonathan L. , Zhong Haizhen A.
Published: June 2019

Glucose transporter 1 (GLUT1) is a facilitative glucose transporter overexpressed in various types of tumors; thus, it has been considered as an important target for cancer therapy. GLUT1 works through conformational switching from an outward-open (OOP) to an inward-open (IOP) conformation passing through an occluded conformation. It is critical to determine which conformation is preferred by bound ligands because the success of structure-based drug design depends on the appropriate starting conformation of the target protein. To find out the most favorable GLUT 1 conformation for ligand binding, we ran systemic molecular docking studies for different conformations of GLUT1 using known GLUT1 inhibitors. Our data revealed that the IOP is the preferred conformation and that residues Phe291, Phe379, Glu380, Trp388, and Trp412 may play critical roles in ligand binding to GLUT1. Our data suggests that conformational differences in these five amino acids in the different conformers of GLUT1 may be used to design ligands that inhibit GLUT1.
The Function and Alteration of Immunological Properties in Human Milk of Obese Mothers
Authors: Erliana Ummu D. , Fly Alyce D.
Published: June 2019

Maternal obesity is associated with metabolic changes in mothers and higher risk of obesity in the offspring. Obesity in breastfeeding mothers appears to influence human milk production as well as the quality of human milk. Maternal obesity is associated with alteration of immunological factors concentrations in the human milk, such as C-reactive protein (CRP), leptin, IL-6, insulin, TNF-Alpha, ghrelin, adiponectin, and obestatin. Human milk is considered a first choice for infant nutrition due to the complete profile of macro nutrients, micro nutrients, and immunological properties. It is essential to understand how maternal obesity influences immunological properties of human milk because alterations could impact the nutrition status and health of the infant. This review summarizes the literature regarding the impact of maternal obesity on the concentration of particular immunological properties in the human milk.
Boosting GSH Using the Co-Drug Approach: I-152, a Conjugate of N-acetyl-cysteine and β-mercaptoethylamine
Authors: Crinelli Rita , Zara Carolina , Smietana Michaël , Retini Michele , Magnani Mauro , Fraternale Alessandra
Published: June 2019

Glutathione (GSH) has poor pharmacokinetic properties; thus, several derivatives and biosynthetic precursors have been proposed as GSH-boosting drugs. I-152 is a conjugate of N-acetyl-cysteine (NAC) and S-acetyl-β-mercaptoethylamine (SMEA) designed to release the parent drugs (i.e., NAC and β-mercaptoethylamine or cysteamine, MEA). NAC is a precursor of L-cysteine, while MEA is an aminothiol able to increase GSH content; thus, I-152 represents the very first attempt to combine two pro-GSH molecules. In this review, the in-vitro and in-vivo metabolism, pro-GSH activity and antiviral and immunomodulatory properties of I-152 are discussed. Under physiological GSH conditions, low I-152 doses increase cellular GSH content; by contrast, high doses cause GSH depletion but yield a high content of NAC, MEA and I-152, which can be used to resynthesize GSH. Preliminary in-vivo studies suggest that the molecule reaches mouse organs, including the brain, where its metabolites, NAC and MEA, are detected. In cell cultures, I-152 replenishes experimentally depleted GSH levels. Moreover, administration of I-152 to C57BL/6 mice infected with the retroviral complex LP-BM5 is effective in contrasting virus-induced GSH depletion, exerting at the same time antiviral and immunomodulatory functions. I-152 acts as a pro-GSH agent; however, GSH derivatives and NAC cannot completely replicate its effects. The co-delivery of different thiol species may lead to unpredictable outcomes, which warrant further investigation.
Involvement of Phenolic Acids in Short-Term Adaptation to Salinity Stress is Species-Specific among Brassicaceae
Authors: Linić Ida , Šamec Dunja , Grúz Jiří , Vujčić Bok Valerija , Strnad Miroslav , Salopek-Sondi Branka
Published: June 2019

Salinity is a major abiotic stress negatively affecting plant growth and consequently crop production. The effects of short-term salt stress were evaluated on seedlings of three globally important Brassica crops—Chinese cabbage (Brassica rapa ssp. pekinensis), white cabbage (Brassica oleracea var. capitata), and kale (Brassica oleracea var. acephala)—with particular focus on phenolic acids. The physiological and biochemical stress parameters in the seedlings and the levels of three main groups of metabolites (total glucosinolates, carotenoids, and phenolics) and individual phenolic acids were determined. The salt treatments caused a dose-dependent reduction in root growth and biomass and an increase in stress parameters (Na+/K+ ratio, reactive oxygen species (ROS) and glutathione (GSH)) in all seedlings but most prominently in Chinese cabbage. Based on PCA, specific metabolites grouped close to the more tolerant species, white cabbage and kale. The highest levels of phenolic acids, particularly hydroxycinnamic acids, were determined in the more tolerant kale and white cabbage. A reduction in caffeic, salicylic, and 4-coumaric acid was found in Chinese cabbage and kale, and an increase in ferulic acid levels was found in kale upon salinity treatments. Phenolic acids are species-specific among Brassicaceae, and some may participate in stress tolerance. Salt-tolerant varieties have higher levels of some phenolic acids and suffer less from metabolic stress disorders under salinity stress.
Transcriptomic Analysis Identifies New Non-Target Site Glyphosate-Resistance Genes in Conyza bonariensis
Authors: Piasecki Cristiano , Yang Yongil , Benemann Daiane P. , Kremer Frederico S. , Galli Vanessa , Millwood Reginald J. , Cechin Joanei , Agostinetto Dirceu , Maia Luciano C. , Vargas Leandro , Stewart C. Neal
Published: June 2019

Conyza bonariensis (hairy fleabane) is one of the most problematic and widespread glyphosate-resistant weeds in the world. This highly competitive weed species significantly interferes with crop growth and substantially decreases crop yield. Despite its agricultural importance, the molecular mechanisms of glyphosate resistance are still unknown. The present RNA-Seq study was performed with the goal of identifying differentially expressed candidate transcripts (genes) related to metabolism-based non-target site glyphosate resistance in C. bonariensis. The whole-transcriptome was de novo assembled from glyphosate-resistant and -sensitive biotypes of C. bonariensis from Southern Brazil. The RNA was extracted from untreated and glyphosate-treated plants at several timepoints up to 288 h after treatment in both biotypes. The transcriptome assembly produced 90,124 contigs with an average length of 777 bp and N50 of 1118 bp. In response to glyphosate treatment, differential gene expression analysis was performed on glyphosate-resistant and -sensitive biotypes. A total of 9622 genes were differentially expressed as a response to glyphosate treatment in both biotypes, 4297 (44.6%) being up- and 5325 (55.4%) down-regulated. The resistant biotype presented 1770 up- and 2333 down-regulated genes while the sensitive biotype had 2335 and 2800 up- and down-regulated genes, respectively. Among them, 974 up- and 1290 down-regulated genes were co-expressed in both biotypes. In the present work, we identified 41 new candidate target genes from five families related to herbicide transport and metabolism: 19 ABC transporters, 10 CYP450s, one glutathione S-transferase (GST), five glycosyltransferases (GT), and six genes related to antioxidant enzyme catalase (CAT), peroxidase (POD), and superoxide dismutase (SOD). The candidate genes may participate in metabolic-based glyphosate resistance via oxidation, conjugation, transport, and degradation, plus antioxidation. One or more of these genes might ‘rescue’ resistant plants from irreversible damage after glyphosate treatment. The 41 target genes we report in the present study may inform further functional genomics studies, including gene editing approaches to elucidate glyphosate-resistance mechanisms in C. bonariensis.
Coarse-Grained Modelling and Temperature Effect on the Morphology of PS-b-PI Copolymer
Authors: Chiangraeng Natthiti , Lee Vannajan Sanghiran , Nimmanpipug Piyarat
Published: June 2019

Spontaneous spatial organization behavior and the aggregate morphology of polystyrene-block-polyisoprene (PS-b-PI) copolymer were investigated. Molecular dynamic (MD) and mesoscopic simulations using the dynamic of mean field density functional theory (DDF) were adopted to investigate the morphology changes exhibited by this block copolymer (BCP). In the mesoscopic simulations, several atoms in repeating units were grouped together into a bead representing styrene or isoprene segments as a coarse-grained model. Inter-bead interactions and essential parameters for mesoscopic models were optimized from MD simulations. Study indicated that morphology alternations can be induced in this system at annealing temperature of 393, 493, and 533 K. From our simulations, lamellar, bicontinuous, and hexagonally packed cylindrical equilibrium morphologies were achieved. Our simulated morphologies agree well with the reported experimental evidence at the selected temperature. The process of aggregate formation and morphology evolution were concretely clarified.
Humanizing Horses: Transitions in Perception and Perspective
Authors: Maurer Petra
Published: June 2019

In Tibetan history and culture, horses were among the most important animals, if not the most important of all. Horses were the mounts that provided transport, particularly for the nobility and kings, allowing them to travel more quickly and comfortably. Horses were also used for hunting, postal services, and to build a cavalry for warfare. In addition, they played a role in various entertainments, including horse racing, games, and parades. The unusually large number of manuscripts on horses attests to the value of horses in the Tibetan imaginaire compared to other animals that lived in the company of the people on the High Plateau, in Tibet itself, and in Tibetan cultural areas. This article begins with an outline of the uses and benefits of horses in Tibetan culture. It touches upon the animal’s role as the mount of Tibetan kings and debates regarding horses’ mental faculties. Then it presents a survey of the content of various manuscripts on equine studies based on sources from three stages: (1) the earliest Tibetan sources from Dunhuang; (2) translations from Indian texts; and (3) extensive compendia that merges all of the knowledge on horses available at the time of their composition. It analyzes the style and content of books that indicate the approach of the authors to the topic of “horse” and points to their view of horses in relation to Tibetan culture and Buddhism. Moreover, the books’ content mirrors the various functions and applications of horses in Tibet and India. It reveals the purpose of these books in general and illustrates the relation between textuality and orality. The study demonstrates the link between hippology and hippiatry, and the development of equine studies in Tibet. It shows the influence of humans on horse medicine and, moreover, contributes to an improved understanding of the development of Tibetan medical sciences in general.
Devotional Annotations: Preserving the Family’s Memory in Arabic Manuscripts
Authors: Wollina Torsten
Published: June 2019

This contribution explores a peculiar kind of annotation in Arabic multiple-text manuscripts. These manuscripts were often compiled as a personal ‘one-volume library’, containing copies and excerpts of a unique selection of texts. Further, they were often used for less guided writing activities. The owners left notes, lists and sometimes even sketches in the margins or on blank pages between the texts. Among these, lists of life dates of relatives are a valuable source for studies on domestic devotion. On the one hand, they give glimpses on the composition of households. How many people lived together and who were they? These lists inform us about names regardless of gender. On the other hand, the penning of these list is in itself a trace of a practice intricately tied to the familial and domestic spheres. These lists are usually the only place, in which the memory of those people is preserved.
In Situ and Satellite Sea Surface Salinity in the Algerian Basin Observed through ABACUS Glider Measurements and BEC SMOS Regional Products
Authors: Aulicino Giuseppe , Cotroneo Yuri , Olmedo Estrella , Cesarano Cinzia , Fusco Giannetta , Budillon Giorgio
Published: June 2019

The Algerian Basin is a key area for the general circulation in the western Mediterranean Sea. The basin has an intense inflow/outflow regime with complex circulation patterns, involving both fresh Atlantic water and more saline Mediterranean water. Several studies have demonstrated the advantages of the combined use of autonomous underwater vehicles, such as gliders, with remotely sensed products (e.g., altimetry, MUR SST) to observe meso- and submesoscale structures and their properties. An important contribution could come from a new generation of enhanced satellite sea surface salinity (SSS) products, e.g., those provided by the Soil Moisture and Ocean Salinity (SMOS) mission. In this paper, we assess the advantages of using Barcelona Expert Center (BEC) SMOS SSS products, obtained through a combination of debiased non-Bayesian retrieval, DINEOF (data interpolating empirical orthogonal functions) and multifractal fusion with high resolution sea surface temperature (OSTIA SST) maps. Such an aim was reached by comparing SMOS Level-3 (L3) and Level-4 (L4) SSS products with in situ high resolution glider measurements collected in the framework of the Algerian Basin Circulation Unmanned Survey (ABACUS) observational program conducted in the Algerian Basin during falls 2014–2016. Results show that different levels of confidence between in situ and satellite measurements can be achieved according to the spatial scales of variability. Although SMOS values slightly underestimate in situ observations (mean difference is −0.14 (−0.11)), with a standard deviation of 0.25 (0.26) for L3 (L4) products), at basin scale, the enhanced SMOS products well represent the salinity patterns described by the ABACUS data.
A Comprehensive Survey of Driving Monitoring and Assistance Systems
Authors: Khan Muhammad Qasim , Lee Sukhan
Published: June 2019

Improving a vehicle driver’s performance decreases the damage caused by, and chances of, road accidents. In recent decades, engineers and researchers have proposed several strategies to model and improve driving monitoring and assistance systems (DMAS). This work presents a comprehensive survey of the literature related to driving processes, the main reasons for road accidents, the methods of their early detection, and state-of-the-art strategies developed to assist drivers for a safe and comfortable driving experience. The studies focused on the three main elements of the driving process, viz. driver, vehicle, and driving environment are analytically reviewed in this work, and a comprehensive framework of DMAS, major research areas, and their interaction is explored. A well-designed DMAS improves the driving experience by continuously monitoring the critical parameters associated with the driver, vehicle, and surroundings by acquiring and processing the data obtained from multiple sensors. A discussion on the challenges associated with the current and future DMAS and their potential solutions is also presented.
Multiplex Detection of Different Magnetic Beads Using Frequency Scanning in Magnetic Frequency Mixing Technique
Authors: Achtsnicht Stefan , Pourshahidi Ali Mohammad , Offenhäusser Andreas , Krause Hans-Joachim
Published: June 2019

In modern bioanalytical methods, it is often desired to detect several targets in one sample within one measurement. Immunological methods including those that use superparamagnetic beads are an important group of techniques for these applications. The goal of this work is to investigate the feasibility of simultaneously detecting different superparamagnetic beads acting as markers using the magnetic frequency mixing technique. The frequency of the magnetic excitation field is scanned while the lower driving frequency is kept constant. Due to the particles’ nonlinear magnetization, mixing frequencies are generated. To record their amplitude and phase information, a direct digitization of the pickup-coil’s signal with subsequent Fast Fourier Transformation is performed. By synchronizing both magnetic fields, a stable phase information is gained. In this research, it is shown that the amplitude of the dominant mixing component is proportional to the amount of superparamagnetic beads inside a sample. Additionally, it is shown that the phase does not show this behaviour. Excitation frequency scans of different bead types were performed, showing different phases, without correlation to their diverse amplitudes. Two commercially available beads were selected and a determination of their amount in a mixture is performed as a demonstration for multiplex measurements.
Development of a Virtual Force Sensor for a Low-Cost Collaborative Robot and Applications to Safety Control
Authors: Yen Shih-Hsiang , Tang Pei-Chong , Lin Yuan-Chiu , Lin Chyi-Yeu
Published: June 2019

To protect operators and conform to safety standards for human–machine interactions, the design of collaborative robot arms often incorporates flexible mechanisms and force sensors to detect and absorb external impact forces. However, this approach increases production costs, making the introduction of such robot arms into low-cost service applications difficult. This study proposes a low-cost, sensorless rigid robot arm design that employs a virtual force sensor and stiffness control to enable the safety collision detection and low-precision force control of robot arms. In this design, when a robot arm is subjected to an external force while in motion, the contact force observer estimates the external torques on each joint according to the motor electric current and calculation errors of the system model, which are then used to estimate the external contact force exerted on the robot arm’s end-effector. Additionally, a torque saturation limiter is added to the servo drive for each axis to enable the real-time adjustment of joint torque output according to the estimated external force, regulation of system stiffness, and achievement of impedance control that can be applied in safety measures and force control. The design this study developed is a departure from the conventional multisensor flexible mechanism approach. Moreover, it is a low-cost and sensorless design that relies on model-based control for stiffness regulation, thereby improving the safety and force control in robot arm applications.
When Teacher Becomes Student: Unveiling Contradictions within Australian Social Work Education
Authors: Newcomb Michelle
Published: June 2019

Social work education in Australia is bound by a range of rules and assumptions supported by both higher education institutions and the Australian Association of Social Workers (AASW). This autoethnography explores a range of contradictions within social work education from the unique perspective of someone who was simultaneously a student and academic in social work. This experience occurred because, although PhD qualified in social work, rulings set down by the AASW lead to me being excluded from consideration in permanent roles. The position led me to becoming an online Master of Social Work (MSW) student whilst still being a social work educator allowing me to explore a range of contradictory rules and processes within social work education. Analysis of my reflections, journals, assignments and conversations with colleagues unveiled a range of mixed messages in relation to social inclusion, technical rationalism, self-care and field placement supervision. My findings contribute to current debates about how neoliberalism currently impacts on inclusion in social work education and development of a professional identity. In exploring my dual roles, this autoethnography unveils contradictions within social work education and accreditation that question the social justice mission of the profession.
Improving Enterprises’ Cross-Border M&A Sustainability in the Globalization Age—Research on Acquisition and Application of the Foreign Experience
Authors: Xie Zaiyang , Lin Runhui , Mi Jie , Li Na
Published: June 2019

The advancement of globalization has encouraged an increasing number of enterprises to go abroad and take cross-border mergers and acquisitions (M&A) to expand their overseas market and improve core competitiveness, although many acquirers fail to gain value from post-acquisition integration. On the basis of organizational learning theory, this paper explores the effect of executives’ foreign experience on cross-border M&A sustainability, and examines how the externally acquired knowledge can be effectively applied to cross-border M&A practice. Taking a sample of Chinese listed companies that have completed cross-border M&As during 2008–2016, our research proposes an integrated framework of foreign experiential knowledge, and discusses the process of acquisition and application of this experiential knowledge into cross-border M&As. Empirical research findings show that, compared with the general foreign experience, the specific foreign experience based on target country significantly improves cross-border M&A sustainability, and executives with host-specific work experience plays a more important role than that of education experience. Further research found that long-tenured executives positively moderate the effect of foreign experiential knowledge on cross-border M&A sustainability, while the pay gap for executives, which hampers internal coherence, plays a negative moderating role. This research provides a new insight into the promotion of the sustainable development of enterprise cross-border M&A in the globalization age.
The Blockchain Consensus Algorithm for Viable Management of New and Renewable Energies
Authors: Huh Jun-Ho , Kim Seong-Kyu
Published: June 2019

Efficient information flow in an intelligent system is vital for effectively controlling the entire system. Currently, intelligent systems are used in many industries related to energy production, sustainable agriculture/transport, and intelligent building/cities. Information technology (IT) and information and communication technologies (ICT) play vital roles in introducing technical or technological innovation in these industries as well as establishing a collaborative network. Also, the digitization of existing systems has been quite effective at creating a sustainable global environment as it allows more efficient and well-balanced control of socio-economic factors. However, it has become clear that adopting an intelligent system to achieve innovation, sustainability, and safety may well depend on the quality of the algorithms to be used for that very system. Despite recent controversies, new and renewable energies are considered as a realistic alternative to fossil fuels, which have been integral to modern industries but are regarded as a cause of environmental or economic problems, not to mention their limited deposits. Therefore, since renewable energies will gradually replace existing energy sources but require more time to be fully available, it is essential to find a method of managing them in a fair and transparent way. The United States, Japan, and some European countries are attempting to achieve such a goal by utilizing a blockchain system, but the issues pertaining to its functionality, security, or efficiency have yet to be addressed. This study introduces a viable consensus algorithm (Hyper Delegation Proof of Randomness, or HDPoR algorithm) for blockchain and attempts to validate its parallel computing capability through simulations. This study also attempts to design an efficient but secure peer-to-peer (P2P) transaction service model for these energies for the future where blockchain-based systems will hold a key position in the digitalized world. As its main contribution, this study introduces an effective method of applying blockchain to a new and renewable energy transaction system by presenting a consensus algorithm that can improve its infrastructure and performance.
Prices of Mexican Wholesale Electricity Market: An Application of Alpha-Stable Regression
Authors: Rodriguez-Aguilar Roman , Marmolejo-Saucedo Jose Antonio , Retana-Blanco Brenda
Published: June 2019

This paper presents a proposal to estimate prices in the Mexican Wholesale Electric Market, which began operations in February 2016, which is why it moves from a scheme with a single bidder to a competitive market. There are particularities in the case of the Mexican market, the main one being the gradual increase in the number of competitors observed until now and, on the other hand, the geographic and technical characteristics of the electric power generation. The observed prices to date show great fluctuations in the observed data due to diverse aspects; among the stems we can mention the own seasonality of the demand of electrical energy, the availability of fuel, the problems of congestion in the electrical network, as well as other risks such as natural hazards. For the above, it is relevant in a market context to have a price estimation as accurate as possible for the decision-making of supply and demand. This paper proposes a methodology for the generation of electricity price estimation through the application of stable alpha regressions, since the behavior of the electric market has shown the presence of heavy tails in its price distribution.
Parametric Optimization of Earth to Air Heat Exchanger Using Response Surface Method
Authors: Maoz Maoz , Ali Saddam , Muhammad Noor , Amin Ahmad , Sohaib Mohammad , Basit Abdul , Ahmad Tanvir
Published: June 2019

The achievement of sustainable energy goals warrants keen interest in promoting efficient buildings and renewable energy resources. Prominent among the energy-efficient building technologies is geothermal energy, which has a significant margin for improving energy utilization related to Heat, Ventilation, and Air Conditioning (HVAC). However, the efficient extraction of geothermal energy for HVAC applications requires stringent control of geometric parameters, boundary conditions, and environmental conditions. In this study a new approach has been devised to optimize the open loop Earth to Air Heat Exchanger (EAHE) system using a statistical optimization technique i.e., Response Surface Method (RSM). The study was conducted in the soil and weather conditions of Peshawar city in Pakistan. Parametric analysis was conducted for the three influencing variables, i.e., the pipe length, diameter, and air velocity using the EAHE model. The soil model predicts temperature in the range 20–26 °C for Peshawar at a depth above 3 m. Response Surface method was used to optimize the pipe length, diameter, and air velocity of the EAHE system. Analysis of Variance (ANOVA) indicates that all the three factors are significant. The EAHE system can effectively reduce the temperature by 15–18 °C and compensate the cooling load of single room for the parameters in the ranges of 50–70 m for the length, 0.18–0.25 m for the diameter, and 5–7 ms−1 for the air velocity. A regression equation is developed to predict the cooling load for any input values of the three influencing variables according to the weather and soil conditions.
Analysis of Energy Sustainability in Ore Slurry Pumping Transport Systems
Authors: Masip Macía Yunesky , Pedrera Jacqueline , Castro Max Túlio , Vilalta Guillermo
Published: June 2019

The mining industry is characterized by a high consumption of energy due to the wide diversity of processes involved, specifically the transportation of ore slurry via pipeline systems. This study investigates the relationship among the variables that define the slurry transportation system to minimize the power requirements and increase energy sustainability. The energy indicator (I), the criterion used for the energy assessment of three different pumping system layouts, was computed via numerical simulation. Optimization of response I was carried out through a statistical technique in the design of the experiment. In the study, four variables were defined to describe the slurry transportation systems, two of which are associated with the piping system (length L and diameter D); the other two are related to the slurry pattern (the volumetric concentration Cv and granulometry D50). The results show that all variables are statistically significant relative to the indicator I, with L having the greatest amplitude of variation in the response, increasing the energy indicator by approximately 60%. Likewise, the decrease of the D50 from 300 µm to 100 µm produces an average decrease of I of 24%. Moreover, the interaction among the factors indicates that two pairs of factors are correlated, namely D50 with L and D with L. Finally, a predictive model obtained a fit that satisfactorily relates with the numerical data, allowing, in a preliminary way, to identify the minimum power requirement in iron ore slurry pipeline systems.
Simpson’s Type Inequalities for Co-Ordinated Convex Functions on Quantum Calculus
Authors: Kalsoom Humaira , Wu Jun-De , Hussain Sabir , Latif Muhammad Amer
Published: June 2019

In the present paper, we aim to prove a new lemma and quantum Simpson’s type inequalities for functions of two variables having convexity on co-ordinates over [ α , β ] × [ ψ , ϕ ] . Moreover, our deduction introduce new direction as well as validate the previous results.
Automatic Gender Classification through Face Segmentation
Authors: Khan Khalil , Attique Muhammad , Syed Ikram , Gul Asma
Published: June 2019

Automatic gender classification is challenging due to large variations of face images, particularly in the un-constrained scenarios. In this paper, we propose a framework which first segments a face image into face parts, and then performs automatic gender classification. We trained a Conditional Random Fields (CRFs) based segmentation model through manually labeled face images. The CRFs based model is used to segment a face image into six different classes—mouth, hair, eyes, nose, skin, and back. The probabilistic classification strategy (PCS) is used, and probability maps are created for all six classes. We use the probability maps as gender descriptors and trained a Random Decision Forest (RDF) classifier, which classifies the face images as either male or female. The performance of the proposed framework is assessed on four publicly available datasets, namely Adience, LFW, FERET, and FEI, with results outperforming state-of-the-art (SOA).
Numerical Study of the Mechanical and Acoustic Emissions Characteristics of Red Sandstone under Different Double Fracture Conditions
Authors: Huang Dongmei , Chang Xikun , Tan Yunliang , Zhou Junhua , Yin Yanchun
Published: June 2019

Natural rock masses have many internal joints, fractures and faults, which greatly influence their mechanical properties during geological processes. In this paper, considering different joint angles and rock-bridge angles, uniaxial compression numerical tests on double-fractured red sandstone based on particle flow code (PFC) were carried out. The influence laws of the mechanics, acoustic emission (AE) and damage evolution characteristics of double-fractured sandstone under different crack geometry conditions were analysed. The results indicated that the peak stress and elastic modulus increase with increasing fracture angle. The peak stress and elastic modulus of rock samples first increase and then decrease with the increase in the rock-bridge angle, exhibiting a nonlinear distribution; when the angle β (rock-bridge angle) is less than or equal to 45°, the peak strain differs only slightly and decreases gradually with the increase in the rock-bridge angle. There are three stages in the AE evolution of fractured red sandstone: The initial emission of AE, the increase in AE and the decline in AE. The influences of different fracture angles and rock-bridge angles on the AE characteristic rule of rock samples vary. The damage evolution process of sandstone specimens with different joints can be divided into four stages: Initial damage, stable increase, accelerated development and stable damage. The fracture angle mainly affects the damage stage. The smaller the angle of the crack is, the greater the strain value in this stage. The rock-bridge angle mainly influences the damage variable evolution during the stable increase, accelerated damage development and stable damage stages.