bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of Farmers’ Stated Risk and Their Perceptions Towards Climate Change in the Northwest of Mexico
Authors: Orduño Torres Miguel Angel , Kallas Zein , Ornelas Herrera Selene Ivette
Published: November 2018

Risk attitudes are relevant factors affecting the production and investment decisions at farm level. They are key factors that are related to farmers’ attitudes towards environment and climate change. Several methodological approaches are available to measure the level of stated risk of an economic agent. The Multiple Price List (MPL) method is one of the methods that is gaining relevance. In this study we apply the MPL and relate the risk outcomes with farmers’ characteristics and their perception towards environment and climate change. Data was collected using a face to face survey carried out for a group of 370 agricultural producers of the irrigation district located in northwest of Mexico. Results showed an average risk of about 0.32, locating the agricultural producers of the region in a group with risk aversion, according to the MPL scale. The heterogeneity analysis showed that the socioeconomic factors and the perceptions towards climate change are related to the farmers´ stated risk level. Farmers who are young women with propensity to use public support to invest were shown to be greater risk lovers. Farmers in the region have perceived climate change to a greater extent like floods, hail, diseases and pests, and changing vegetation.
Theory of g-Tg-Connectedness
Authors: Khodabocus Mohammad Irshad , Sookia Noor-Ul-Hacq
Published: November 2018

Several specific types of ordinary and generalized connectedness in a generalized topological space have been defined and investigated for various purposes from time to time in the literature of topological spaces. Our recent research in the field of a new type of generalized connectedness in a generalized topological space is reported herein as a starting point for more generalized types.
Stabilization Policies and Technological Shocks: Towards a Sustainable Economic Growth Path
Authors: Bongers Anelí , Díaz-Roldán Carmen
Published: November 2018

The purpose of this paper is to explore the extent to which traditional economic policies can be oriented by sound practices. It is becoming widely accepted that sustainable economic growth (and not only economic growth) is the final target of economic policies; but most economic policies are applied just looking to the short-run without taking in account the long-run perspective. Our aim will be to show how a sustainable economic policy-making would be possible, making compatible the stabilization of the economy in the short-run with a sustainable economic growth in the long-run. We confront the design of economic policies with the 17 goals of the 2030 Agenda. We argue that all sustainable development goals can be attained by the design and implementation of sustainable economic policies. Finally, to illustrate this point we will conduct a simulation exercise to show under which combinations of demand policies technological shocks would promote a path of sustainable growth. Our results will provide a reference framework for a sustainable economic policy-making.
All-Fiber CO2 Sensor Using Hollow Core PCF Operating in the 2 μm Region
Authors: Mejia Quintero Sully Milena , Guedes Valente Luiz Carlos , de Paula Gomes Marcos Sebastião , Gomes da Silva Hugo , de Souza Bernardo Caroli
Published: November 2018

A realistic implementation of an all-fiber CO2 sensor, using 74 cm of hollow core PCF fiber as the cavity for light/gas interaction, has been implemented. It is based on CO2 absorbance in the 2 μm region. The working range is from 2% to 100% CO2 concentration at 1 atm total pressure. The response time obtained was 10 min. The use of an FBG tuned fiber ring laser, specifically designed for this application, is discussed and preliminary results with this laser are also presented.
Taxonomic Analysis of the Level of Private Equity/Venture Capital Market Development in Europe
Authors: Grzegorczyk Elżbieta
Published: November 2018

Determining the level of PE/VC market development and the way it operates is extremely difficult. Despite countless reports and analyses concerning the PE/VC market, there is a lack of study on that sector based on a synthetic index. The usage of taxonomic methods in the PE/VC market analysis may be extremely useful in its proper characterizing. An in-depth study allows the identification of weaknesses and strengths as well as opportunities and threats related to a specific stage of PE/VC market development in a given country, that gives the opportunity to determine public activities that could affect the acceleration of this market development in future. The main objective of the study was to conduct a taxonomic analysis of the level of PE/VC market development in Europe, in 2010–2015. It is worth mentioning that the term “level of development” does not refer only to the value of investment or its dynamics, but to a set of objectified features that create one synthetic indicator. The conducted analysis using the Hellwig method allowed to determine the ranking of European countries in terms of the level of PE/VC market development, which reveal some significant differences in the functioning of the this market within Europe. Further detailed analysis of the designated groups of countries made it possible to determine the characteristics of such clusters. The construction of the level of private equity/venture capital market development ranking over the years enabled defining the current status and indicating the direction of possible changes.
Realistic Hair Simulator for Skin lesion Images Using Conditional Generative Adversarial Network
Authors: Attia Mohamed , Hossny Mohammed , Zhou Hailing , Yazdabadi Anosha , Asadi Hamed , Nahavandi Saeid
Published: November 2018

Automated skin lesion analysis is one of the trending fields that has gained attention among the dermatologists and healthcare practitioners. Skin lesion restoration is an essential preprocessing step for lesion enhancements for accurate automated analysis and diagnosis. Digital hair removal is a non-invasive method for image enhancement by solving the hair-occlusion artefact in previously captured images. Several hair removal methods were proposed for skin delineation and removal. However, manual annotation is one of the main challenges that hinder the validation of these proposed methods on a large number of images or using benchmarking datasets for comparison purposes. In the presented work, we propose a realistic hair simulator based on context-aware image synthesis using image-to-image translation techniques via conditional adversarial generative networks for generation of different hair occlusions in skin images, along with the ground-truth mask for hair location. Besides, we explored using three loss functions including L1-norm, L2-norm and structural similarity index (SSIM) to maximise the synthesis quality. For quantitatively evaluate the realism of image synthesis, the t-SNE feature mapping and Bland-Altman test are employed as objective metrics. Experimental results show the superior performance of our proposed method compared to previous methods for hair synthesis with plausible colours and preserving the integrity of the lesion texture.
Enhancing the Adsorption of Lead (II) by Bentonite Enriched with pH-adjusted Meranti Sawdust
Authors: Mohajeri Parsa , Selamat Mohammad Razip , Abdul Aziz Hamidi , Smith Carol
Published: November 2018

In recent years, the need for safe and modern composite barrier for the prevention of groundwater contamination and the provision of Geo-environmental protection has been studied together with the need of designing low cost and effective liner for isolating landfill contents from the environment. In this study, various mix designs involving two natural adsorbents, the Na-Bentonite and the pH-adjusted sawdust were prepared for a series of Geo-environmental experiments to be carried out to determine the adsorption capacity, buffering capacity, pH changes, and COD changes among others, in the presence of Pb(NO3)2 contaminant concentrations. Generally, the results showed an increase in adsorption capacity in the acidic segment of the treatment. An increase of 58% of the adsorption efficiency of the Na-Bentonite in adsorbing the contaminant at the highest concentration was the most important achievement of the system while in the acidic segment.
A Comparative Study of the AHP and TOPSIS Techniques for Dam Site Selection Using GIS: A Case Study of Sistan and Baluchestan Province, Iran
Authors: Jozaghi Ali , Alizadeh Babak , Hatami Mohsen , Flood Ian , Khorrami Mohammad , Khodaei Nastaran , Ghasemi Tousi Erfan
Published: November 2018

The application of multiple criteria decision-making (MCDM) techniques in real-life problems has increased in recent years. The need to build advanced decision models with higher capabilities that can support decision making in a broad spectrum of applications, promotes the integration of MCDM techniques with applicable systems, including artificial intelligence, and Geographic Information Systems (GIS). The Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) are amongst the most widely adopted MCDM techniques capable of resolving water resources challenges. A critical problem associated with water resource management is dam site selection. This paper presents a comparative analysis of TOPSIS and AHP in the context of decision making using GIS for dam site selection. The comparison was made based on geographic and water quality criteria. A ratio estimation procedure was used to determine the weights of these criteria. Both methods were applied for selection of optimal sites for dams in the Sistan and Baluchestan province, Iran. The results show that the TOPSIS method is better suited to the problem of dam site selection for this case study. Actual locations of dams constructed in the area were used to verify the results of both methods.
A model free control based on machine learning for
energy converters in an array
Authors: Thomas Simon , Giassi Marianna , Eriksson Mikael , Göteman Malin , Isberg Jan , Ransley Edward , Hann Martyn , Engström Jens
Published: November 2018

This paper introduces a model-free, "on-the-fly" learning control strategy for arrays of energy converters with adjustable generator damping. The devices are arranged so that they are affected simultaneously by the energy medium. Each device uses a different control strategy, of which at least one has to be the machine learning approach presented in this paper. During operation all energy converters record the absorbed power and control output; the machine learning device gets the data from the converter with the highest power absorption and so learns the best performing control strategy for each state. Consequently, the overall network has a better overall performance than each individual strategy.
This concept is evaluated for wave energy converter (WEC) with numerical simulations and experiments with physical scale models in a wave tank. In the first of two numerical simulations, the learnable WEC works in an array with four WECs applying a constant damping factor. In the second simulation, two learnable WECs were learning with each other. It showed that in the first test the WEC was able to absorb as much as the best constant damping WEC, while in the second run it could absorb even slightly more.
During the physical model test, the ANN showed its ability to select the better of two possible damping coefficients based on real world input data.
Innovative Sensor Approach to Follow Campylobacter jejuni Development
Authors: Núñez-Carmona Estefanía , Abbatangelo Marco , Sberveglieri Veronica
Published: November 2018

Campylobacter infection affects more than 200,000 people every year in Europe and in the last four years trend shows an increase of campylobacteriosis. Main vehicle for transmission of the bacterium is contaminated food like meat, milk, fruit and vegetables. In this study, the aim was to find characteristic VOCs of C. jejuni in order to detect its presence with an array of MOX gas sensors. Using a starting concentration of 103 CFU/mL, VOCs were analyzed using GC-MS with SPME technique at the initial time (T0) and after 20 hours (T20). It has been found that Campylobacter sample at T20 is characterized by a higher number of alcohol compounds that the one at T0 and this is due to sugar fermentation. Sensors results showed the ability of the system to follow bacteria curve growth from T0 to T20 using PCA. In particular, this results in a decrease of ΔR/R0 value over time. For this reason, MOX sensors are a promising technology for the development of a rapid and sensitive system for C. jejuni.
Beneficial Effects of Multicomponent Functional Foods in Patients with Metabolic Syndrome
Authors: Dragan Simona , Damian Georgiana , Velimirovici Dana , Rada Maria , Berceanu Delia , Iurciuc Mircea , Badalica-Petrescu Marius , Valcovici Mihaela , Socaciu Carmen , Christodorescu Ruxandra
Published: November 2018

The ANTIATERO-ALIM study was a randomized, parallel design nutritional trial testing functional food (FF) diets against the usual diet recommended in the metabolic syndrome. Functional meals included balsamic vinegar from apples and honey and grape juice enriched with polyphenols from seeds of red grapes. 300 patients with metabolic syndrome were randomized into 4 groups: gr.1: FF + Ω-3 supplements, gr.2: FF, gr.3: Ω-3 supplements, gr.4: control. IRHOMA insulin resistance, plasma lipids and oxidative stress were assessed at inclusion and at 6 months. After 6 months there was a very significant decrease of oxidative stress in group 3, followed by a significant decrease in groups 1 and 2.
Methods of CRISPR/Cas9 Exon Skipping for Duchenne Muscular Dystrophy
Authors: Lim Kenji Rowel Q. , Yoon Chantal , Yokota Toshifumi
Published: November 2018

Duchenne muscular dystrophy (DMD) is a fatal X-linked recessive neuromuscular disease prevalent in 1 in 3500 to 5000 males worldwide. As a result of mutations that interrupt the reading frame of the dystrophin gene (DMD), DMD is characterized by a loss of dystrophin protein which leads to decreased muscle membrane integrity, which increases susceptibility to degeneration. CRISPR/Cas9 technology has garnered interest as an avenue for DMD therapy due to its potential for permanent exon skipping, which can restore the disrupted DMD reading frame in DMD and lead to dystrophin restoration. An RNA-guided DNA endonuclease system, CRISPR/Cas9 allows for the targeted editing of specific sequences in the genome. The efficacy and safety of CRISPR/Cas9 as a therapy for DMD has been evaluated by numerous studies in vitro and in vivo, with varying rates of success. Despite the potential of CRISPR/Cas9-mediated gene editing for the long-term treatment of DMD, its translation into the clinic is currently challenged by issues such as off-targeting, immune response activation, and sub-optimal in vivo delivery. Its nature as being mostly a personalized form of therapy also limits applicability to DMD patients, who exhibit a wide spectrum of mutations. This review summarizes the various CRISPR/Cas9 strategies that have been tested in vitro and in vivo for the treatment of DMD. Perspectives on the approach will be provided, and the challenges faced by CRISPR/Cas9 in its road to the clinic will be briefly discussed.
Layered Ternary and Quaternary Transition Metal Chalcogenide Based Catalysts for Water Splitting
Authors: Tiwari Anand P. , Novak Travis G. , Bu Xiuming , Ho Johnny C. , Jeon Seokwoo
Published: November 2018

Water splitting plays an important role in electrochemical and photoelectrochemical conversion of energy devices. Electrochemical water splitting by the hydrogen evolution reaction (HER) is a straightforward route to produce hydrogen (H2), which requires an efficient electrocatalysts to minimize energy consumption. Recent advances have created a rapid rise in new electrocatalysts, particularly those based on non-precious metals. In this review, we present a comprehensive overview of the recent developments of ternary and quaternary 6d-group transition metal chalcogenides (TMCs) based electrocatalysts for water splitting, especially for HER. Detailed discussion is organized from binary to quaternary TMCs including, surface engineering, heterostructures, chalcogen substitutions, and hierarchically structural design in TMCs. Moreover, emphasis is placed on future research scope and important challenges facing these electrocatalysts for further development in their performance towards water splitting.
Mitochondrial Dynamics in Stem Cells and Differentiation
Authors: Seo Bong Jong , Yoon Sang Hoon , Do Jeong Tae
Published: November 2018

Mitochondria are highly dynamic organelles that continuously change their shape. Their main function is ATP production; however, they are additionally involved in a variety of cellular phenomena, such as apoptosis, cell cycle, proliferation, differentiation, reprogramming, and aging. The change in mitochondrial morphology is closely related to the functionality of mitochondria. Normal mitochondrial dynamics are critical for cellular function, embryonic development, and tissue formation. Thus, defect in proteins involved in mitochondrial dynamics that control mitochondrial fusion and fission can affect cellular differentiation, proliferation, cellular reprogramming, and aging. Here we review the processes and proteins involved in mitochondrial dynamics and its various associated cellular phenomena.
Effect of SLM Process Parameters on the Quality of Al Alloy Parts; Part I: Powder Characterization, Density, Surface Roughness, and Dimensional Accuracy
Authors: Maamoun Ahmed H. , Xue Yi F. , Elbestawi Mohamed A. , Veldhuis Stephen C.
Published: November 2018

Additive manufacturing (AM) of high strength Al alloys promises to enhance the performance of critical components related to various aerospace and automotive applications. The key advantage of AM is its ability to generate lightweight, robust, and complex shapes. However, the characteristics of the as-built parts may represent an obstacle to satisfy the part quality requirements. The current study investigates the influence of selective laser melting (SLM) process parameters on the quality of parts fabricated from different Al alloys. A design of experiment (DOE) is used to analyze relative density, porosity, surface roughness, and dimensional accuracy according to the interaction effect between the SLM process parameters. The results show a range of energy densities and SLM process parameters for the AlSi10Mg and Al6061 alloys needed to achieve “optimum” values for each performance characteristic. A process map is developed for each material by combining the optimized range of SLM process parameters for each characteristic to ensure good quality of the as-built parts. The second part of this study investigates the effect of SLM process parameters on the microstructure and mechanical properties of the same Al alloys. This comprehensive study is also aimed at reducing the amount of post-processing needed.
On the Difficulty of Marketing Food and Drink Products to Men and/or Women
Authors: Spence Charles
Published: November 2018

In recent years, food and drink marketers have become increasingly interested in the question of whether there are any meaningful sex/gender differences in the world of taste/flavour perception. However, it turns out that while there are a large number of individual differences in the experience of food/drink, few, if any, fall neatly along sex/gender lines. As such, the marketers of food and drink need to tread very carefully when it comes to marketing food or beverage products specifically at men, or more usually, women. All too often, the brands entering this space soon find their attempts branded crass and/or sexist. Adopting a stealthy or implicit gender-based product development strategy is therefore perhaps more likely to succeed than the explicit targeting of food/beverage-related products in what is undoubtedly a highly-politicized area. That said, the one area where the public appear willing to accept products that are explicitly targeted at men or women is in the case of nutritional foods/supplements.
Experimental Assessment of a Centralised Controller for High-RES Active Distribution Networks
Authors: García-López Francisco de Paula , Barragán-Villarejo Manuel , Marano-Marcolini Alejandro , Maza-Ortega José María , Martínez-Ramos José Luis
Published: November 2018

This paper assesses the behaviour of active distribution networks with high penetration of renewable energy sources when the control is performed in a centralised manner. The control assets are the on-load tap changers of transformers at the primary substation, the reactive power injections of the renewable energy sources and the active and reactive power exchanged between adjacent feeders when they are interconnected through a DC link. A scaled-down distribution network is used as testbed to emulate the behaviour of an active distribution system with massive penetration of renewable energy resources. The laboratory testbed involves hardware devices, real-time control, and communication infrastructure. Several key performance indices are adopted to assess the effects of the different control actions on the system operation. The experimental results demonstrate that the combination of control actions enables the optimal integration of a massive penetration of renewable energy.
A Homeostasis Breakdown Model of Subjective Cognitive Decline
Authors: Mizuno Akiko , Ly Maria , Aizenstein Howard J.
Published: November 2018

Subjective Cognitive Decline (SCD) is a possible earliest detectable sign of dementia, but we do not know what mental processes lead to elevated concern. We summarize the previous literature on the biomarkers and functional neuroanatomy of SCD. To extend the current most-popular theory of SCD, compensatory hyperactivition, we introduce a new model: breakdown of homeostasis in the prediction error minimization system. A cognitive prediction error is a discrepancy between an implicit cognitive predictions and the corresponding outcome. Experiencing frequent prediction errors may be a primary source of elevated subjective concern. Our homeostasis breakdown model explains the progression both from normal cognition to SCD and from SCD to advanced dementia stages.
Assessing Diurnal Variability of Biogeochemical Processes Using the Geostationary Ocean Color Imager (GOCI)
Authors: Concha Javier , Mannino Antonio , Franz Bryan , Kim Wonkook
Published: November 2018

Short-term (hours) biological and biogeochemical processes cannot be fully captured by the current suite of polar-orbiting satellite ocean color sensors, as their temporal resolution is limited to potentially one clear image per day. Geostationary sensors, such as the Geostationary Ocean Color Imager (GOCI) from the Republic of Korea, allow the study of these short-term processes because their geostationary orbits permit the collection of multiple images throughout each day. To assess the capability to detect changes in water properties caused by these processes, however, requires an understaning of the uncertainties introduced by the instrument and/or geophysical retrieval algorithms. This work presents a study of the variability during the day over a water region of low-productivity with the assumption that only small changes in the water properties occur during the day over the area of study. The complete GOCI mission data were processed using the SeaDAS/l2gen package. Filtering criteria were applied to assure the quality of the data. Relative differences with respect to the midday value were calculated for each hourly observation of the day. Also, the influence of the solar zenith angle in the retrieval of remote sensing reflectances and derived products was analyzed. We determined that the uncertainties in water-leaving “remote-sensing” reflectance ($R_\text{rs}$) for the 412, 443, 490, 555, 660 and 680 nm bands on GOCI are 8.05$\times10^{-4}$, 5.49$\times10^{-4}$, 4.48$\times10^{-4}$, 2.51$\times10^{-4}$, 8.83$\times10^{-5}$, and 1.36$\times10^{-4}$ sr$^{-1}$, respectively, and 1.09$\times10^{-2}$ mg m$^{-3}$ for the chlorophyll-a concentration (Chl-{\it a}), 2.09$\times10^{-3}$ m$^{-1}$ for the absorption coefficient of chromophoric dissolved organic matter at 412 nm ($a_{\text{g}}(412)$), and 3.7 mg m$^{-3}$ for particulate organic carbon (POC). We consider these to be the floor values for detectable changes in the water properties due to biological, physical or chemical processes.
Partial Isolation Type Saddle-FinFET(Pi-FinFET) for Sub-30 nm DRAM Cell Transistors
Authors: Lee Myoung Jin , kim young kwon , park taesik , kim geon , lee jin sung , cho young pyo , kim huijung , park young june
Published: November 2018

In this paper, we proposed a novel saddle type FinFET (S-FinFET) to effectively solve problems occurring under the capacitor node of dynamic random-access memory (DRAM) cell and showed how its structure was superior to conventional S-FinFETs in terms of short channel effect (SCE), subthreshold slope (SS), and gate-induced drain leakage (GIDL). The proposed FinFET exhibited 4 times lower Ioff than modified S-FinFET called RFinFET with more improved DIBL characteristics while minimizing Ion reduction compared to RFinFET. Our results also confirmed that the proposed device showed improved DIBL and Ioff characteristics as gate channel length decreased.
Which Factors Influence Attentional Functions? Attention Assessed by KiTAP in 105 6- to 10-Year-Old Children
Authors: Tremolada Marta , Taverna Livia , Bonichini Sabrina
Published: November 2018

This research revealed the children with difficulties in attentional functions in healthy children attending primary school and aimed to identify the possible socio-demographic factors such as child’s age, gender and school’s grade that could influence attentive performance. The participants were 105 children aged 6-10 years (M age=8.6; SD=1.04), 57 females, attending primary schools. Family economic condition attested mostly at a medium level (63.5%) and parents had more frequently 13 years of schooling. The computerized test KiTAP was administered to children to assess attentional functions. Results showed higher frequency of omissions and false alarms and a reduced speed in Alertness, Go/No go and Sustained Attention tasks comparing to Italian norms. A series of hierarchical regression analyses were run with school grade, gender and current age as independent variables and mean reaction times (and standard deviation), number of omissions and of false alarms as dependent ones. Results showed male gender and attending a lower primary school grade impacting on lower attentional performance in several subtests. Females showed the best performances in distractibility and impulsive reaction tendencies tests, while higher school grade positively influenced the divided and sustained attention. These results could be useful to identify children with major attentional difficulties and some recommendations for futures studies and implement attention empowerment programmes were proposed.
IgG Charge
Authors: Yang Danlin , Kroe-Barrett Rachel , Singh Sanjaya , Laue Thomas
Published: November 2018

It has been known since the 1930’s that all immunoglobulins carry a weak negative charge in physiological solvents. However, there has been no systematic exploration of this fundamental property. Accurate charge measurements have been made using membrane confined electrophoresis in two solvents (pH 5.0 and pH 7.4) on a panel of twelve mAb IgGs, as well as their F(ab’)2 and Fc fragments. The following observations were made at pH 5.0: 1) the measured charge differs from the calculated charge by ~40 for the intact IgGs, and by ~20 for the Fcs; 2) the intact IgG charge depends on both Fv and Fc sequences, but does not equal the sum of the F(ab)’2 and Fc charge; 3) the Fc charge is consistent within a class. In phosphate buffered saline, pH 7.4: 1) the intact IgG charges ranged from 0 to -13; 2) the F(ab’)2 fragments are nearly neutral for IgG1s and IgG2s, and about -5 for some of the IgG4s; 3) all Fc fragments are weakly anionic, with IgG1 < IgG2 < IgG4; 4) the charge on the intact IgGs does not equal the sum of the F(ab’)2 and Fc charge. In no case is the calculated charge, based on H+ binding, remotely close to the measured charge. The charge on IgGs in physiological solvent is sufficiently small to minimize its contribution to thermodynamic nonideality. Some of the mAbs carried a charge in physiological salt that was outside the range observed for serum-purified human poly IgG. To best match physiological properties, a therapeutic mAb should have a measured charge that falls within the range observed for serum-derived human IgGs.
Multiple links between HD-Zip proteins and hormone networks
Authors: Sessa Giovanna , Carabelli Monica , Possenti Marco , Morelli Giorgio , Ruberti Ida
Published: November 2018

HD-Zip proteins are unique to plants, and contain a homeodomain closely linked to a leucine zipper motif, which are involved in dimerization and DNA binding. Based on homology in the HD-Zip domain, gene structure and the presence of additional motifs, HD-Zips are divided into four families, HD-Zip I–IV. Phylogenetic and bioinformatics analysis of HD-Zip genes using transcriptomic and genomic datasets from a wide range of plant species indicate that the HD-Zip protein class was already present in green algae. Later, HD-Zips experienced multiple duplication events that promoted neo- and sub-functionalizations. HD-Zip proteins are known to control key developmental and environmental responses, and a growing body of evidence indicates a strict link between members of the HD-Zip II and III families and the auxin machineries. Interactions of HD-Zip proteins with other hormones such as brassinolide and cytokinin have also been described. However, it is striking that among the genes regulated by REV, a HD-Zip III protein playing a key role in apical development, are genes that mediate ABA signaling. Furthermore, HAT1 and HAT3, two HD-Zip II proteins involved in key developmental processes, repress ABA biosynthesis and signaling, indicating an essential role of these factors in adjusting development to changing environment.
New Strategies to Improve Sensorial Quality of White Wines by Wood Contact
Authors: Alañon M. Elena , Díaz-Maroto M. Consuelo , Pérez-Coello M. Soledad
Published: November 2018

Ageing wine is a commonly practice used in winemaking since the quality and sensory profile increase due to the extractable compounds coming from wood by means of barrels or chips. The quantitative and qualitative compounds from wood depend on the species, its origins and the treatments applied in cooperages. Traditionally, oak wood species are most often used in cooperage, specifically Quercus alba, Known as American oak and Q. robur and Q. petraea both known as French oak. However, although this stage is very common for red wines, its use is still restricted in the case of white wines. However, this topic is particularly interesting, since due to the sensorial benefits of wood contact, the option for ageing white wines in barrels or chips is increasingly and widely chosen by winemakers. This review compiles the novel strategies applied to white wines by means of wood contact in the last years with the aim to increase wine quality and sensorial features.
The Construction Kit and the Assembly Line — Walter Gropius’ Concepts for Rationalizing Architecture
Authors: Seelow Atli Magnus
Published: November 2018

With the breakthrough of modernism, various efforts are undertaken to rationalize architecture and building processes using industrial principles. Few architects explore these as intensively as Walter Gropius, the founder of the Bauhaus. Even before World War One, and increasingly in the interwar years, Gropius and a number of colleagues undertake various experiments which manifest in a series of projects, essays, model houses and Siedlungen. These aim at conceptually different goals, i.e. they follow two different categories of industrial logic: first, a flexible construction kit and, second, an assembly line serial production. This article traces the genesis of these two concepts and analyses their characteristics using these early manifestations. Compared to existing literature, this article takes into account hitherto neglected primary sources as well as technological and construction history aspects—allowing for a distinction based not only on theoretical, but also technological and structural characteristics. This article shows that Gropius succeeds in formulating and exploring the two principles in theory and practice as well as drawing conclusions by the end of the 1920s. With them, he contributed significantly to the rationalization of architecture, and his principles have been picked up and developed further by numerous architects since then.
Trainee Teachers’ Perceptions on Cyberbullying: Guidelines for Educators and Families
Authors: Yot-Domínguez Carmen , Guzmán Franco María Dolores , Duarte Hueros Ana
Published: November 2018

The present work analyzes university students' perceptions on cyberbullying. More specifically, the main objective was to understand the level of concern displayed by young students in teacher training programs regarding cyberbullying; our analysis includes their degree of self-confidence and their commitment when faced with this problem, their self-reported training on the subject, and the measures they consider adequate to approach it in the educational context. Using a survey research design, 408 students from Early Childhood Education, Primary Education Degrees, and the Master’s Degree in Secondary Education, and Vocational Training from national public universities participated. The results shed light upon the coexistence of three differentiated profiles of teachers in training when faced with cyberbullying. However, although there is clear evidence of the high level of concern regarding this problem in every case, they placed more importance on raising awareness of the issue with families, prevention, management and training as basic pillars for re-directing the worrisome reality experienced in educational centers. The need to include these contents in the initial training of future education professionals, for overcoming cyberbullying, and the importance of collaborative work between parents and educators are the conclusions of this research study that are in agreement with other studies.
Low RNA Binding Strength of Human X Chromosome May Explain X Chromosome Inactivation
Authors: Ji Ning , Yan Lifang , Song Zhixue , Liu Shufeng , Liu Chao , Yang Shuangshuang , Cao Hongyi , Wang Xiufang , Lv Zhanjun
Published: November 2018

Two X chromosomes of female mammals randomly inactivate one of paternal or maternal X chromosome in early embryonic development and all the daughter cells produced from these cells retain the same feature of X chromosome inactivation, which is called X chromosome inactivation (XCI). Studying the mechanisms of XCI is important for understanding epigenetic that plays an important role in age-associated diseases. The previous studies have demonstrated that binding of RNAs and DNAs may play a role in activating gene expression. In this paper, our study aims to explore whether the mechanisms of XCI involve the RNA binding strength to X chromosome DNAs. The bioinformatics analyses based on big data were used to analyze the simulated binding strength of RNAs (RNA binding strength) to 23 chromosomes (including X chromosome and 22 human autosomes) and the characteristics of repetitive sequences in the X-inactivation centre. The results revealed that RNA binding strength of the long arm of the X chromosome that is almost entirely inactivated in XCI was significantly lower than that of all autosomes and the short arm of X chromosome, meanwhile the RNA binding strengths of inactivation regions in X chromosome were significantly lower than that of regions escaping from XCI. Different repetitive sequence clusters within the center of XCI presented a cross distribution characteristic. To further prove whether the repetitive sequences in human X chromosome involve in XCI, we cloned long interspersed element (LINE-1, L1) and short interspersed element (Alu) from human Xq13, the center of XCI, and constructed expression vectors carrying sense-antisense combination repetitive sequences (L1s or Alus). Effects of combined L1 or combined Alu sequences on expression of EGFP reporter gene were examined in stably transfected HeLa cells, which simulates the effects of repetitive sequences located on chromosomes. The results of experiments revealed transcribed L1 repetitive sequences activated EGFP reporter gene expression, so did the Alus. The experiment results suggested repetitive sequences activated genes by interaction of transcribed RNAs and DNAs. Since the binding of RNAs and DNAs can activate gene, so the low RNA binding strength of human X chromosome may be one of reasons of XCI. The cross distribution characteristics of different repetitive sequence clusters leading to a cascade of gene activation or gene inactivation may be the reason of transcriptional silencing one of the X chromosomes in female mammals.
Freeform Perfusable Microfluidics Embedded in Hydrogel Matrices
Authors: Štumberger Gabriela , Vihar Boštjan
Published: November 2018

We report a modification of the freeform reversible embedding of suspended hydrogels (FRESH) 3D printing method for the fabrication of freeform perfusable microfluidics inside a hydrogel matrix. Xanthan gum is deposited into a CaCl2 infused gelatin slurry to form filaments, which are consequently rinsed to produce hollow channels. This provides a simple method for rapid prototyping of microfluidic devices based on biopolymers and potentially a new approach to the construction of vascular grafts for tissue engineering.
The Collective Impact Index (CII): A New Instrument to Evaluate and Foster Collaborative Partnership in Public Health practice
Authors: Salihu Hamisu M , Wilson Roneé E , Berry Estrellita "Lo"
Published: November 2018

Background or Objectives: Collective Impact (CI) is the sum of collaborative actions through coalition building to examine and address issues that threaten public health. We sought to develop an instrument to measure CI across diverse health-related organizations.

Methods: The study was performed in 5 phases initiated with a comprehensive literature review through the generation of candidate items using a deductive instrument development approach. A matrix was then created to map assembled items onto related CI domains. An one-hundred and nine (n=109) item questionnaire covering multiple items per domain was administered to 200 health-related organizations selected randomly throughout the United States. Survey data were evaluated using Principal Component Analysis and Kaiser criterion or eigenvalue-greater-than-one rule was the factor retention method utilized.

Results: Based on Kaiser’s eigenvalue criteria and communality estimates, the number of items across the five domains of CI was reduced from 109 to 20, with 4 items populating each subdomain. All communality estimates in the final instrument had values > 0.6, which was sufficiently adequate as per Kaiser’s criterion.

Conclusion and Global Health Implications: This pilot study demonstrates CI represents a multifactorial concept with domains that are multi-dimensional capturing diverse aspects of a construct. We developed the first measure of CI for public health practice. The index bears potential utility for assessing and monitoring areas of strengths and weaknesses within collaborative partnerships across the spectrum of population health.

Key words: Collaborative Partnerships. CI. Federal Healthy Start. Program Evaluation. Index. Public Health Practice

Copyright © 2018 Salihu et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Reweighting Lefschetz Thimbles
Authors: Bluecher Stefan , Pawlowski Jan M. , Scherzer Manuel , Schlosser Mike , Stamatescu Ion-Olimpiu , Syrkowski Sebastian , Ziegler Felix
Published: November 2018

One of the main challenges in simulations on Lefschetz thimbles is
the computation of the relative weights of contributing thimbles. In
this paper we propose a solution to that problem by means of computing
those weights using a reweighting procedure. Besides we present recipes
for finding parametrizations of thimbles and anti-thimbles for a given
theory. Moreover, we study some approaches to combine the Lefschetz
thimble method with the Complex Langevin evolution. Our numerical
investigations are carried out by using toy models among which we
consider a one-site z^4z4
model as well as a U(1)U(1)
one-link model.
Factors Facilitating Academic Success in Dental Students After Initial Failure: A Qualitative Study
Authors: Dadpe Ashwini Manish , Shah Dipali Yogesh , Vinay Vineet , Shetkar Pratibha
Published: November 2018

Most previous research on academic failure has sought to understand the reasons students failed. The aim of this study was to identify factors that led to academic success for dental students who had previously failed written examinations, using interviews based on Appreciative Inquiry (AI). The AI approach led the investigators to focus on positive aspects of what helped students overcome failure, rather than the reasons for it. Students in this qualitative study, conducted in 2016 at a dental college in India, completed a questionnaire with six open‐ended questions and participated in individual semi‐structured interviews. Purposive sampling identified 25 students as possible participants; 21 volunteered to participate; and data saturation was reached after interviews with 15. Four key themes were identified in the data collected. On the theme of learning strategies, participants mentioned modifying their attitude toward studying and making it learning‐oriented. On the theme of resources, participants reported strategies for obtaining books, others’ notes, and teachers’ guides to help with studying. In the third theme, psychological aspects, students reported methods used to motivate themselves to succeed after failing. The fourth theme, environmental factors, concerned the key means of support provided by parents, teachers, and seniors/peers. All the students reported that the failure had been a turning point and that overcoming it had boosted their self‐confidence. One student said he learned to “never give up and keep trying till you succeed,” and most spoke of continuing the best practices they learned. These findings suggest that knowledge‐oriented studying, conceptual learning, appropriate study material, internal motivation, and support of parents, teachers, and peers may help dental students overcome failure.
Dentists’ Perceptions of Their Peer Learning Experiences in Dental School and Effects on Practice
Authors: Roberts Eugenia Popescu , Mills Denise Amelia , Stein Amy F.
Published: November 2018

Peer‐assisted learning (PAL) has been found in medical, nursing, and dental education research to aid in preparing students to develop clinical judgment, leadership, and teamwork skills. This study sought to extend that research by assessing the effect of PAL on dentists in practice. The aim of this study was to ask practicing dentists who were clinically trained with PAL in dental school for their perceptions of the effects and value of that training for their patient care, team relations, and professional development. In addition, participants were asked for recommendations to improve pairing and the matching process. An electronic survey was sent in October 2017 to all 667 dentists who graduated from Midwestern University College of Dental Medicine‐Arizona from 2012 to 2017, all of whom had been trained in a PAL‐general practice model. A total 107 alumni responded, for a 16% overall response rate; the response rate averaged 16.7% for each class. The majority (83.6%) of responding dentists recommended peer learning in clinical dental education. Survey participants attributed their clinical judgment (72.3%) and teamwork (80.9%) skills to peer pairing in dental school. Among the respondents, 89.8% had taken leadership roles and were training team members, and 75.7% reported enjoying teaching others. Of the 65% who commented on peer pairing enhancements, 15% recommended rotation of peers for greater learning experiences, and 24% advised personality assessments for future pair matching. These results suggested that participating in PAL had helped prepare these alumni for practice.
Crown Taper Angles Achieved by Dental Students: A Systematic Review
Authors: Strain Kenneth J. , Mackie James , Bonsor Stephen J. , Macfarlane Tatiana V.
Published: November 2018

The aim of this systematic review was to examine the literature on clinical taper angles achieved by dental students during crown preparation to determine the theoretical and clinically acceptable values identified in research studies. Medline, Embase, Web of Knowledge, the Cochrane Library, the British Dental Journal, and the Journal of the American Dental Association were searched to identify relevant studies. Studies were included if they were in vivo research on full crown preparations by dental students and published in English. Data extracted were country, year of publication, model selection and measurement methods, tests for reproducibility, tooth type, number of teeth assessed, and tapers achieved. The search resulted in 12 included articles from 11 countries published between 1978 and 2014 featuring a total of 2,306 preparations. In those studies, students failed to achieve ideal convergence angles (between 4° and 14°) but produced clinically acceptable results (between 10° and 20°). These findings should be taken into account when assessing dental students during their training programs.
U.S. Dental School Applicants and Enrollees, 2017 Entering Class
Authors: Slapar Franc , Cook Bryan J. , Stewart Denice , Valachovic Richard W.
Published: November 2018

The American Dental Education Association (ADEA) collects information on U.S. dental school applicants and first‐time, first‐year enrollees as part of the administration of dental school applications. This report presents an analysis of the data on the characteristics and academic qualifications of the 11,873 applicants who applied to U.S. dental schools during the 2016–17 application cycle and of the 6,122 first‐time, first‐year enrollees who began dental school in fall 2017. Among the key findings are the following: the number of applications decreased in 2016–17, while enrollment continued its steady 12‐year rise; the number of women applicants exceeded the number of men by a larger margin than the previous two years, reversing the long‐term trend of having more men apply to dental school (although men continued to have slightly higher levels of enrollment); when race/ethnicity was viewed alone or in combination, the number of applicants and first‐time enrollees from most race/ethnic groups increased, although falling slightly were Native Hawaiian or other Pacific Islander and White applicants and enrollees; regionally, the Mid‐Atlantic had the highest share of its population applying to dental school and the Northwest had the highest share to enroll in dental school; and applicants overwhelmingly had a biological or biomedical science educational background. The data and analysis presented in this report offer a unique picture of dental school applicants and enrollees. It provides school administrators with a national view of the qualifications of applicants, and it provides prospective applicants with a better understanding of the qualifications they likely need to enroll. The analysis also gives policymakers a preliminary view of future trends in the dental workforce.