bluuebunny/crossref_metadata_2025 huggingface dataset:
Hybrid Empirical Mode Decomposition with Support Vector Regression Model for Short Term Load Forecasting
Authors: Hong Wei-Chiang , Fan Guo-Feng
Published: March 2019

For operational management of power plants, it is desirable to possess more precise short-term load forecasting results to guarantee the power supply and load dispatch. The empirical mode decomposition (EMD) method and the particle swarm optimization (PSO) algorithm have been successfully hybridized with the support vector regression (SVR) to produce satisfactory forecasting performance in previous studies. Decomposed intrinsic mode functions (IMFs), could be further defined as three items: item A contains the random term and the middle term; item B contains the middle term and the trend (residual) term, and item C contains the middle terms only, where the random term represents the high-frequency part of the electric load data, the middle term represents the multiple-frequency part, and the trend term represents the low-frequency part. These three items would be modeled separately by the SVR-PSO model, and the final forecasting results could be calculated as A+B-C (the defined item D). Consequently, this paper proposes a novel electric load forecasting model, namely H-EMD-SVR-PSO model, by hybridizing these three defined items to improve the forecasting accuracy. Based on electric load data from the Australian electricity market, the experimental results demonstrate that the proposed H-EMD-SVR-PSO model receives more satisfied forecasting performance than other compared models.
Data-Driven Natural Gas Spot Price Forecasting with Least Squares Regression Boosting Algorithm
Authors: Su Moting , Zhang Zongyi , Zhu Ye , Zha Donglan
Published: March 2019

Natural gas is often described as the cleanest fossil fuel. The consumption of natural gas is increasing rapidly. Accurate prediction of natural gas spot prices would significantly benefit energy management, economic development, and environmental conservation. In this study, the least squares regression boosting (LSBoost) algorithm was used for forecasting natural gas spot prices. LSBoost can fit regression ensembles well by minimizing the mean squared error. Henry Hub natural gas spot prices were investigated, and a wide range of time series from January 2001 to December 2017 was selected. The LSBoost method is adopted to analyze data series at daily, weekly and monthly. An empirical study verified that the proposed prediction model has a high degree of fitting. Compared with some existing approaches such as linear regression, linear support vector machine (SVM), quadratic SVM, and cubic SVM, the proposed LSBoost-based model showed better performance such as a higher R-square and lower mean absolute error, mean square error, and root-mean-square error.
Biomass Potential from Agricultural Waste for Energetic Utilization in Greece
Authors: Alatzas Spyridon , Moustakas Konstantinos , Malamis Dimitrios , Vakalis Stergios
Published: March 2019

The alignment of the Greek national legislation with the corresponding EU legislation has enhanced the national efforts to pursue renewable Combined Heat and Power (CHP) projects. The scope of the present study has been the identification of the available biomass resources and the assessment of their potential. In this paper, we present the results from the administrative regions of Crete, Thessaly, and Peloponnese. The levels of lignocellulosic biomass in Greece are estimated to be 2,132,286 tonnes on an annual basis, values that are very close to the cases of other Mediterranean countries like Italy and Portugal. In respect to the total agricultural residues, Crete produces 1,959,124 tonnes/year and Thessaly produces 1,759,457 tonnes/year. The most significant streams are identified to be olive pits, olive pruning, and cotton ginning remnants, with more than 100,000 tonnes/year each. In the latter part of this manuscript, a case study is presented for the development of a CHP gasification facility in Messenia. The biomass energy potential of the area is very promising, with about 3,800,000 GJ/year. The proposed small-scale gasification technology is expected to utilize 7956 tonnes of biomass per year and to produce 6630 MWh of electricity and 8580 MWh of thermal energy.
Nonlinear Model Establishment and Experimental Verification of a Pneumatic Rotary Actuator Position Servo System
Authors: Zhang Yeming , Li Ke , Wang Geng , Liu Jingcheng , Cai Maolin
Published: March 2019

In order to accurately reflect the characteristics and motion states of a pneumatic rotary actuator position servo system, an accurate non-linear model of the valve-controlled actuator system is proposed, and its parameter identification and experimental verification are carried out. Firstly, in the modeling of this system, the mass flow rate of the gas flowing through each port of the proportional directional control valve is derived by taking into account the clearance between the valve spool and the sleeve, the heat transfer formula is used to the derivation of the energy equation, and the Stribeck model is applied to the friction model of the pneumatic rotary actuator. Then, the flow coefficient, the heat transfer coefficient and the friction parameters are identified by the model and pneumatic test circuits. After the verification experiment of the mass flow rate equations, the charging and discharging experiment reveals that the model can clearly show the effect of clearances on gas pressure changes and describe the effect of heat transfer on gas temperature changes. Finally, the results of model verification indicate that the simulation curves of rotation angle and two-chamber pressures are consistent with their experimental values, and the non-linear model shows high accuracy.
Multi-Output Conditional Inference Trees Applied to the Electricity Market: Variable Importance Analysis
Authors: Ahrazem Dfuf Ismael , Mira McWilliams José Manuel , González Fernández María Camino
Published: March 2019

Predicting electricity prices and demand is a very important issue for the energy market industry. In order to improve the accuracy of any predictive model, a previous variable importance analysis is highly advised. In this paper, we propose an alternative framework to assess the variable importance in multivariate response scenarios based on the permutation importance technique, applying the Conditional inference trees algorithm and a ϕ -divergence measure. Our solution was tested in simulated examples as well as a real case, where we assessed and ranked the most relevant predictors for price and demand of electricity jointly in the Spanish market. The new method outperforms, in most cases, the outcomes achieved by the recently proposed techniques, Intervention prediction measure (IPM) and Sequential multi-response feature selection (SMuRFS). For the electricity market case, we identified the most relevant predictors among pollutant, renewable, calendar and lagged prices variables for the joint response of demand and price, showing also the effectiveness of the proposed multivariate response method when compared with the univariate response analysis.
Space/Interface Charge Analysis of the Multi-Layer Oil Gap and Oil Impregnated Pressboard Under the Electrical-Thermal Combined Stress
Authors: Zou Runhao , Hao Jian , Liao Ruijin
Published: March 2019

In oil-paper insulation systems, it is easy to accumulate space/interface charge under a direct current (DC) electrical field. At present, direct measurement of space/interface charge for a thick multi-layer insulation system is not possible. It is necessary to study the multi-layer oil-paper insulation system via simulation method. In this paper, the space/interface charge simulation based on the bipolar charge transport model and a simulation parameter using FEM for the multi-layer oil–paper insulation system was proposed. The influence of electrical field strength, temperature, and the combined influence of the electrical field strength and temperature on the space/interface charge behaviors were analyzed, respectively. A new method for calculating the space/interface charge density and the total charge quantity of the multi-layer oil-paper insulation under the combined action of electrical field strength and temperature was presented. Results show that the interface charge density absolute value and the total charge quantity at steady state both increases with the electrical field strength and temperature in an exponential way, respectively. Besides, temperature has a more significant influence on the charge density and the total charge quantity than the electrical field strength. The electrical field strength–temperature shifting factor αT’ was introduced for the translation of the charge density curves or the total charge quantity curves to construct the charge density main curve or the total charge quantity main curve under the combined action of electrical field strength and temperature. The equations for calculating the charge density or the total charge quantity of the multi-layer oil-paper insulation was provided, which could be used to calculate the charge density or the total charge quantity under the combined action of electrical field strength and temperature.
Trade Openness and Carbon Leakage: Empirical Evidence from China’s Industrial Sector
Authors: Fan Bin , Zhang Yun , Li Xiuzhen , Miao Xiao
Published: March 2019

China is a large import and export economy in global terms, and the carbon dioxide emissions and carbon leakage arising from trade have great significance for China’s foreign trade and its economy. On the basis of trade data for China’s 20 industrial sectors, we first built a panel data model to test the effect of trade on carbon dioxide emissions and the presence of carbon leakage for all industrial sectors. Second, we derived a single-region input–output model for open economies based on the industrial sectors’ diversity and carbon dioxide emissions, and performed an empirical test. We estimated the net carbon intensity embodied in export, which is 0.237tCO2/ten thousand RMB, to divide all sectors (ACSs) into high-carbon sectors (HCSs) and low-carbon sectors (LCSs). The results show that higher trade openness leads to a reduction in the intensity of CO2 emissions and gross emissions and that there are obvious structural differences in different sectors with different carbon emission intensity. The coefficient of trade openness for LCSs is −0.073 and is statistically significant at the 1% level, so higher trade openness for LCSs leads to a reduction in the CO2 emissions intensity. However, the coefficient for HCSs is 0.117 and is statistically significant at the 10% level, indicating that higher trade openness increases the CO2 emissions’ intensity for HCSs. The difference is that higher trade openness in LCSs can help reduce the CO2 emissions’ intensity without the problem of carbon leakage and with the existence of the environmental Kuznets curve (EKC), whereas there is no EKC for HCSs and carbon leakage may happen. We introduced dummy variables and found that a “pollution haven” effect exists in HCSs. The test results in HCSs and LCSs are exactly the opposite of each other, which shows that the carbon leakage of ACSs cannot be determined. The message that can be drawn for policy makers is that China does not need to worry about the adverse impact on the environment of trade opening up and should, in fact, increase the opening up of trade, while becoming acclimatized to environmental regulation of a new trade mode and new standards. This will help amplify the favorable impact of trade opening up on the environment and improve China’s international reputation. The policies related to trade should encourage structural adjustment between the sectors via the formulation of differential policies and impose a restraint on sectors that have high levels of CO2 emissions embodied in export.
Thermoelectric Energy Recovery in a Light-Duty Diesel Vehicle under Real-World Driving Conditions at Different Altitudes with Diesel, Biodiesel and GTL Fuels
Authors: García-Contreras Reyes , Agudelo Andrés , Gómez Arántzazu , Fernández-Yáñez Pablo , Armas Octavio , Ramos Ángel
Published: March 2019

This work focuses on the potential for waste energy recovery from exhaust gases in a diesel light-duty vehicle tested under real driving conditions, fueled with animal fat biodiesel, Gas To Liquid (GTL) and diesel fuels. The vehicle was tested following random velocity profiles under urban driving conditions, while under extra-urban conditions, the vehicle followed previously defined velocity profiles. Tests were carried out at three different locations with different altitudes. The ambient temperature (20 ± 2 °C) and relative humidity (50 ± 2%) conditions were similar for all locations. Exergy analysis was included to determine the potential of exhaust gases to produce useful work in the exhaust system at the outlet of the Diesel Particle Filter. Results include gas temperature registered at each altitude with each fuel, as well as the exergy to energy ratio (percentage of energy that could be transformed into useful work with a recovery device), which was in the range of 20–35%, reaching its maximum value under extra-urban driving conditions at the highest altitude. To take a further step, the effects of fuels and altitude on energy recovery with a prototype of a thermoelectric generator (TEG) were evaluated.
Progress in the Implementation of the EU Energy Efficiency Directive through the Lens of the National Annual Reports
Authors: Zangheri Paolo , Economidou Marina , Labanca Nicola
Published: March 2019

Following the adoption of the Energy Efficiency Directive (EED) in 2012, the Member States of the European Union implemented various policies and measures to meet the Directive’s requirements, including national energy efficiency targets for 2020. The progress made at national level is tracked through the Annual Reports provided by Member States to the Commission in accordance with the EED Article 24. To provide valuable insights of the actions taken by Member States towards increasing energy efficiency in various sectors of their economies, this paper reviews the assessment of the Annual Reports (AR) submitted since 2013—the year in which the first reports were due—until the latest Annual Reports of 2018. Notably, the implementation status of key EED provisions such as Article 5 on the exemplary role of public bodies’ buildings and Article 7 on Energy Efficiency Obligation Schemes (EEOS) is discussed, providing a historical view of the progress made from the inception of the various actions until now. The need of more efforts, in particular with the Article 5 implementation, is identified. The national contributions towards the EU 2020 target are also discussed, including an analysis of the latest energy consumption trends and reasons for which energy consumption remained stable or increased, as given by Member States in their reports. Lessons learned from the EED experience so far are drawn that provide valuable input for the successful implementation of the future requirements under the new Energy Union Governance.
Analysis of Electric Power Quantities of Road LED Luminaires under Sinusoidal and Non-Sinusoidal Conditions
Authors: Sikora Roman , Markiewicz Przemysław
Published: March 2019

The paper presents the results of laboratory tests concerning the measurements of electrical parameters of road lighting luminaires. These measurements were focused on determining the dependence of the electrical parameters of the luminaires versus the changes of the RMS (Root Mean Square) value of the supply voltage and the level of disturbances in the supply voltage. The basic electrical parameters for light-emitting diode (LED) luminaires were analysed with the option of luminous flux adjustment if it existed. During the laboratory measurements, the luminaires were powered from the Agilent 6834B distorted voltage generator within the assumed acceptable range of the changes in the deformation level resulting from the applicable legal provisions for the reproduction of actual power supply conditions.
Integrated Renewable Energy System Based on IREOM Model and Spatial–Temporal Series for Isolated Rural Areas in the Region of Valparaiso, Chile
Authors: Masip Yunesky , Gutierrez Anibal , Morales Joel , Campo Antonio , Valín Meyli
Published: March 2019

Providing energy to areas isolated from the electricity grid through the use of a smart integrated renewable energy system (SIRES) is proposed in this study for Valparaiso, Chile. The study analyzes the process of identifying the appropriate size of a SIRES considering technical and economic factors. An optimization model proposed in the literature was modified, and a subsequent spatial–temporal analysis of the different variables was conducted. The model comprises locally available renewable energy resources, such as biomass, biogas, wind power, solar photovoltaic, and thermal power. Furthermore, it was used to determine the energy potential of each of the isolated areas, identifying those areas in which the SIRES could be implemented as a sustainable solution. The design simulates the cost of the initial investment and energy generation in the chosen areas. The study also includes the selection of different system components and the use of the general model to determine the optimal combination of energy subsystems for isolated areas with the aim of minimizing the cost of energy generations. Finally, an economic evaluation showed that the use of a SIRES based mainly on solar energy supported by biomass, biogas, and mini-wind power costs approximately three times less than extending the electricity grid network.
Genome-Wide Identification and Transcriptional Expression Profiles of the F-box Gene Family in Common Walnut (Juglans regia L.)
Authors: Yan Feng , Zhou Huijuan , Yue Ming , Yang Ge , Li Huaizhu , Zhang Shuoxin , Zhao Peng
Published: March 2019

The common walnut (or Persian walnut), Juglans regia L., is an economically important temperate tree species valued for both its edible nut and high-quality wood. F-box gene family members are involved in plant development, which includes regulating plant development, reproduction, cellular protein degradation, response to biotic and abiotic stresses, and flowering. However, in common walnut (J. regia), there are no reports about the F-box gene family. Here, we report a genome-wide identification of J. regia F-box genes and analyze their phylogeny, duplication, microRNA, pathway, and transcriptional expression profile. In this study, 74 F-box genes were identified and clustered into three groups based on phylogenetic analysis and eight subfamilies based on special domains in common walnut. These common walnut F-box genes are distributed on 31 different pseudo-chromosomes. The gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and microRNA profiles showed that the F-box gene family might play a critical role in the flowering of common walnut. The expressions were significantly higher in female flowers and male flowers compared with leaf and hull tissues at a transcriptome level. The results revealed that the expressions of the F-box gene in female flowers were positively correlated with male flowers, but there was no correlation between any other tissue combinations in common walnut. Our results provided insight into the general characteristics of the F-box genes in common walnut.
Dynamic SDN Controller Load Balancing
Authors: Sufiev Hadar , Haddad Yoram , Barenboim Leonid , Soler José
Published: March 2019

The software defined networking (SDN) paradigm separates the control plane from the data plane, where an SDN controller receives requests from its connected switches and manages the operation of the switches under its control. Reassignments between switches and their controllers are performed dynamically, in order to balance the load over SDN controllers. In order to perform load balancing, most dynamic assignment solutions use a central element to gather information requests for reassignment of switches. Increasing the number of controllers causes a scalability problem, when one super controller is used for all controllers and gathers information from all switches. In a large network, the distances between the controllers is sometimes a constraint for assigning them switches. In this paper, a new approach is presented to solve the well-known load balancing problem in the SDN control plane. This approach implies less load on the central element and meeting the maximum distance constraint allowed between controllers. An architecture with two levels of load balancing is defined. At the top level, the main component called Super Controller, arranges the controllers in clusters, so that there is a balance between the loads of the clusters. At the bottom level, in each cluster there is a dedicated controller called Master Controller, which performs a reassignment of the switches in order to balance the loads between the controllers. We provide a two-phase algorithm, called Dynamic Controllers Clustering algorithm, for the top level of load balancing operation. The load balancing operation takes place at regular intervals. The length of the cycle in which the operation is performed can be shorter, since the top-level operation can run independently of the bottom level operation. Shortening cycle time allows for more accurate results of load balancing. Theoretical analysis demonstrates that our algorithm provides a near-optimal solution. Simulation results show that our dynamic clustering improves fixed clustering by a multiplicative factor of 5.
Reply to Ruby, B. Comment on Collins, C.N., et al. Body Composition Changes of United States Smokejumpers during the 2017 Fire Season. Fire. 2018, 1, 48. Fire 2019, 2, 15
Authors: Brooks Randall H.
Published: March 2019

Ruby [...]
Effect of Oral Physiology Parameters on In-Mouth Aroma Compound Release Using Lipoprotein Matrices: An In Vitro Approach
Authors: Tarrega Amparo , Yven Claude , Semon Etienne , Mielle Patrick , Salles Christian
Published: March 2019

Temporal aroma compound release during eating is a function of the physicochemical properties of the food matrix, aroma compounds, and oral physiology of individuals. However, the influence of each parameter on the release of each aroma component should be clarified. Two flavored lipoprotein matrices varying in composition were chewed in a chewing simulator that reproduced most of the physiological functions of the mouth. Aroma compound releases (butanoic acid, 2-heptanone, ethyl butyrate, 3-octanone, and 2-nonanone) were followed in real time by direct connection of the device to APCI-MS (atmospheric pressure chemical ionization mass spectrometry). Each oral parameter was controlled and decoupled using the in vitro device. The food matrix composition had only a low impact on aroma compound release, but the controlled oral parameters had significantly different influences on the release of aroma compounds according to their physicochemical characteristics. The release of certain compounds seemed more sensitive to bite force, while others seemed more sensitive to the shearing angle. The salivary flow rate primarily influenced the more hydrophobic compounds. Significant interactions were also observed between shear angle, salivary flow rate, and lipoprotein matrix composition, mainly for the release of the more hydrophobic volatile compounds; this needs further investigations to be clarified.
The VHE γ-Ray View of the FSRQ PKS 1510-089
Authors: Zacharias Michael , Dominis Prester Dijana , Jankowsky Felix , Lindfors Elina , Meyer Manuel , Mohamed Mahmoud , Prokoph Heike , Sanchez David , Sitarek Julian , Terzic Tomislav , Wagner Stefan , Wierzcholska Alicja , on behalf of the H.E.S.S. and MAGIC Collaborations
Published: March 2019

The flat spectrum radio quasar PKS 1510-089 is a monitored target in many wavelength bands due to its high variability. It was detected as a very-high-energy (VHE) γ-ray emitter with H.E.S.S. in 2009, and has since been a regular target of VHE observations by the imaging Cherenkov observatories H.E.S.S. and MAGIC. In this paper, we summarize the current state of results focusing on the monitoring effort with H.E.S.S. and the discovery of a particularly strong VHE flare in 2016 with H.E.S.S. and MAGIC. While the source has now been established as a weak, but regular emitter at VHE, no correlation with other energy bands has been established. This is underlined by the 2016 VHE flare, where the detected optical and high-energy γ-ray counterparts evolve differently than the VHE flux.
Emancipating the “Kin beyond the Sea”: Reciprocity between Continental and Diasporic Africans’ Struggles for Freedom
Authors: Manguvo Angellar
Published: March 2019

While the African Diaspora’s relentless commitment to the liberation of Africa from colonial bondage is well documented, the literature has, arguably, obscured the profound inspirations that Continental African people have had on Black Americans’ struggles against racism. Unfortunately, the downplaying of the pivotal role of the forces from Continental Africa divorces the understanding of the interconnectedness of transnational black consciousness. This paper contributes a greater balance to the understanding of black racial solidarity by discussing the formation and sustenance of the interrelationships between Continental African people and the African Diaspora, particularly in the United States, during the struggles of anti-colonialism in Africa and anti-racism in the United States, dating back to the turn of the 19th century. The paper conceptualizes the interconnectedness of the twin struggles from the Cross-national Diffusion theoretical framework. The theory offers appealing explanations and insights to the apparent mutuality regarding the formation, processes, outcomes, and consequences of the twin struggles. Galvanized by the common vision of emancipating the black race, the two movements were inspired by the exchange of ideological and organizational tactics, of which the exchange itself constituted another solid ideological tactic.
A Comparison Between Two Assays for Measuring Seminal Oxidative Stress and their Relationship with Sperm DNA Fragmentation and Semen Parameters
Authors: Homa Sheryl T. , Vassiliou Anna M. , Stone Jesse , Killeen Aideen P. , Dawkins Andrew , Xie Jingyi , Gould Farley , Ramsay Jonathan W. A.
Published: March 2019

Oxidative stress (OS) is a significant cause of DNA fragmentation and is associated with poor embryo development and recurrent miscarriage. The aim of this study was to compare two different methods for assessing seminal OS and their ability to predict sperm DNA fragmentation and abnormal semen parameters. Semen samples were collected from 520 men attending for routine diagnostic testing following informed consent. Oxidative stress was assessed using either a chemiluminescence assay to measure reactive oxygen species (ROS) or an electrochemical assay to measure oxidation reduction potential (sORP). Sperm DNA fragmentation (DFI) and sperm with immature chromatin (HDS) were assessed using sperm chromatin structure assay (SCSA). Semen analysis was performed according to WHO 2010 guidelines. Reactive oxygen species sORP and DFI are negatively correlated with sperm motility (p = 0.0012, 0.0002, <0.0001 respectively) and vitality (p < 0.0001, 0.019, <0.0001 respectively). The correlation was stronger for sORP than ROS. Reactive oxygen species (p < 0.0001), sORP (p < 0.0001), DFI (p < 0.0089) and HDS (p < 0.0001) were significantly elevated in samples with abnormal semen parameters, compared to those with normal parameters. Samples with polymorphonuclear leukocytes (PMN) have excessive ROS levels compared to those without (p < 0.0001), but sORP and DFI in this group are not significantly increased. DNA fragmentation was significantly elevated in samples with OS measured by ROS (p = 0.0052) or sORP (p = 0.004). The results demonstrate the multi-dimensional nature of oxidative stress and that neither assay can be used alone in the diagnosis of OS, especially in cases of leukocytospermia.
Chicken Embryonic-Stem Cells Are Permissive to Poxvirus Recombinant Vaccine Vectors
Authors: Giotis Efstathios S. , Montillet Guillaume , Pain Bertrand , Skinner Michael A.
Published: March 2019

The discovery of mammalian pluripotent embryonic stem cells (ESC) has revolutionised cell research and regenerative medicine. More recently discovered chicken ESC (cESC), though less intensively studied, are increasingly popular as vaccine substrates due to a dearth of avian cell lines. Information on the comparative performance of cESC with common vaccine viruses is limited. Using RNA-sequencing, we compared cESC transcriptional programmes elicited by stimulation with chicken type I interferon or infection with vaccine viruses routinely propagated in primary chicken embryo fibroblasts (CEF). We used poxviruses (fowlpox virus (FWPV) FP9, canarypox virus (CNPV), and modified vaccinia virus Ankara (MVA)) and a birnavirus (infectious bursal disease virus (IBDV) PBG98). Interferon-stimulated genes (ISGs) were induced in cESC to levels comparable to those in CEF and immortalised chicken fibroblast DF-1 cells. cESC are permissive (with distinct host transcriptional responses) to MVA, FP9, and CNPV but, surprisingly, not to PBG98. MVA, CNPV, and FP9 suppressed innate immune responses, while PBG98 induced a subset of ISGs. Dysregulation of signalling pathways (i.e., NFκB, TRAF) was observed, which might affect immune responses and viral replication. In conclusion, we show that cESC are an attractive alternative substrate to study and propagate poxvirus recombinant vaccine vectors.
Challenges in the Integration of Omics and Non-Omics Data
Authors: López de Maturana Evangelina , Alonso Lola , Alarcón Pablo , Martín-Antoniano Isabel Adoración , Pineda Silvia , Piorno Lucas , Calle M. Luz , Malats Núria
Published: March 2019

Omics data integration is already a reality. However, few omics-based algorithms show enough predictive ability to be implemented into clinics or public health domains. Clinical/epidemiological data tend to explain most of the variation of health-related traits, and its joint modeling with omics data is crucial to increase the algorithm’s predictive ability. Only a small number of published studies performed a “real” integration of omics and non-omics (OnO) data, mainly to predict cancer outcomes. Challenges in OnO data integration regard the nature and heterogeneity of non-omics data, the possibility of integrating large-scale non-omics data with high-throughput omics data, the relationship between OnO data (i.e., ascertainment bias), the presence of interactions, the fairness of the models, and the presence of subphenotypes. These challenges demand the development and application of new analysis strategies to integrate OnO data. In this contribution we discuss different attempts of OnO data integration in clinical and epidemiological studies. Most of the reviewed papers considered only one type of omics data set, mainly RNA expression data. All selected papers incorporated non-omics data in a low-dimensionality fashion. The integrative strategies used in the identified papers adopted three modeling methods: Independent, conditional, and joint modeling. This review presents, discusses, and proposes integrative analytical strategies towards OnO data integration.
Group Lasso Regularized Deep Learning for Cancer Prognosis from Multi-Omics and Clinical Features
Authors: Xie Gangcai , Dong Chengliang , Kong Yinfei , Zhong Jiang F. , Li Mingyao , Wang Kai
Published: March 2019

Accurate prognosis of patients with cancer is important for the stratification of patients, the optimization of treatment strategies, and the design of clinical trials. Both clinical features and molecular data can be used for this purpose, for instance, to predict the survival of patients censored at specific time points. Multi-omics data, including genome-wide gene expression, methylation, protein expression, copy number alteration, and somatic mutation data, are becoming increasingly common in cancer studies. To harness the rich information in multi-omics data, we developed GDP (Group lass regularized Deep learning for cancer Prognosis), a computational tool for survival prediction using both clinical and multi-omics data. GDP integrated a deep learning framework and Cox proportional hazard model (CPH) together, and applied group lasso regularization to incorporate gene-level group prior knowledge into the model training process. We evaluated its performance in both simulated and real data from The Cancer Genome Atlas (TCGA) project. In simulated data, our results supported the importance of group prior information in the regularization of the model. Compared to the standard lasso regularization, we showed that group lasso achieved higher prediction accuracy when the group prior knowledge was provided. We also found that GDP performed better than CPH for complex survival data. Furthermore, analysis on real data demonstrated that GDP performed favorably against other methods in several cancers with large-scale omics data sets, such as glioblastoma multiforme, kidney renal clear cell carcinoma, and bladder urothelial carcinoma. In summary, we demonstrated that GDP is a powerful tool for prognosis of patients with cancer, especially when large-scale molecular features are available.
Northern Hemisphere Snow-Cover Trends (1967–2018): A Comparison between Climate Models and Observations
Authors: Connolly Ronan , Connolly Michael , Soon Willie , Legates David , Cionco Rodolfo , Velasco Herrera Víctor.
Published: March 2019

Observed changes in Northern Hemisphere snow cover from satellite records were compared to those predicted by all available Coupled Model Intercomparison Project Phase 5 (“CMIP5”) climate models over the duration of the satellite’s records, i.e., 1967–2018. A total of 196 climate model runs were analyzed (taken from 24 climate models). Separate analyses were conducted for the annual averages and for each of the seasons (winter, spring, summer, and autumn/fall). A longer record (1922–2018) for the spring season which combines ground-based measurements with satellite measurements was also compared to the model outputs. The climate models were found to poorly explain the observed trends. While the models suggest snow cover should have steadily decreased for all four seasons, only spring and summer exhibited a long-term decrease, and the pattern of the observed decreases for these seasons was quite different from the modelled predictions. Moreover, the observed trends for autumn and winter suggest a long-term increase, although these trends were not statistically significant. Possible explanations for the poor performance of the climate models are discussed.
A Review of Age Friendly Virtual Assistive Technologies and their Effect on Daily Living for Carers and Dependent Adults
Authors: Marston Hannah Ramsden , Samuels Julie
Published: March 2019

Many barriers exist in the lives of older adult’s, including health, transport, housing, isolation, disability and access to technology. The appropriate integration of technology within age-friendly communities continues to offer possible solutions to these barriers and challenges. Older adults and disabled people continue to be affected and marginalized due to lack of access to the digital world. Working collaboratively with planners, policy makers and developers, social and living spaces in the future will ensure that residents are equipped to live in an era that continues to be led by, and is dependent upon, access to technology. This review paper uniquely draws together the small volume of literature from the fields of gerontology, gerontechnology, human computer interaction (HCI), and disability. This paper examines the national and international age-friendly frameworks regarding older adults who are carers of dependent people with disabilities.
Crystallographic Studies in Cultural Heritage: Solid State Behaviour of Inorganic Pigments
Authors: Baisch Ulrich , Camilleri Marie , Micallef Duncan , Rhauderwiek Timo , Stock Norbert , Spiteri Rebecca , Vella-Zarb Liana
Published: March 2019

Most inorganic pigments generally consist of the colouring agents such as hematite (red) or glauconite (green) together with white pigments, including alumosilicates and calcium compounds. This usually leads to a wide colour range dependent on the exact percentage of the colouring agent in the solid mixture. Some inorganic pigments have been in use for thousands of years due to their easy availability and desirable attributes: ochres have been in use since prehistoric times to produce cave and rock paintings, and are still used to this day; terra verde (green earth) first made its appearance in decorations and frescos in the first century B.C. Whether these pigments are used in frescos, cave ornaments or paintings, shortcomings in their particular hue, transparency or fading character very often inspire research towards a better understanding of these physical characteristics. We present a study in which crystal engineering was applied in an attempt to tackle such problems. The solubility of Venetian red ochre and its solid state behaviour at higher temperatures were investigated and compared with similar studies on terra verde. Hot stage microscopy showed that, although the pigment retained its red colour upon heating, some crystallites lost transparency, indicating a phase change. The actual colouring agents hematite and goethite in Venetian red ochre are insoluble in most solvents and solvent mixtures. However, the solvent was found to have a significant effect on the undissolved pigment and other components. The pigment examined in this study was a mixture of microcrystalline powders with smaller quantities of larger crystallites thought to be gypsum. Multi-elemental analysis by X-ray fluorescence spectroscopy showed the most abundant elements to be sulphur, calcium, iron, magnesium, silicon and aluminium. Fourier-Transform Infrared (FTIR) spectroscopy indicated the presence of metal oxides, metal carbonates and alumosilicates. Powder X-ray diffraction experiments helped to identify and quantify the proportions of hematite and goethite in four different pigments.
D-ark—A Shared Digital Performance Art Archive with a Modular Metadata Schema
Authors: Saisto Anni , T.E.H.D.A.S.
Published: March 2019

Digital objects and documentation of intangible cultural heritage pose new challenges for most museums, which have a long history in preserving tangible objects. Art museums, however, have been working with digital objects for some decades, as they have been collecting media art. Yet, performance art as an ephemeral art form has been a challenge for art museums’ collection work. This article presents a method for archiving digital and audiovisual performance documentation. D-ark (digital performance art archive) is based on a joint effort by the artist community T.E.H.D.A.S., which has created the archive, and Pori Art Museum, which is committed to preserving the archive for the future. The aim is to produce sufficient standardized metadata to support this objective. This article addresses the problems of documenting an ephemeral art form and copyright issues pertaining to both the artist and the videographer. The concept of D-ark includes a modular metadata schema that makes a distinction between descriptive, administrative, and technical metadata. The model is designed to be flexible—new modules of objects or technical metadata can be added in the future, if necessary. D-ark metadata schema deploys the FRBRoo, Premis, VideoMD, and AudioMD standards. Administrative and technical metadata modules abide by Finnish digital preservation specifications.
Prevent Mother-to-Child Transmission (PMTCT) Programs and Enhancement of Maternal Healthcare Infrastructure to Improve Early Detection of Maternal Syphilis in Shanghai, China
Authors: Du Li , Li Yang , Jin Hui , Huang Cheng , Gu Yibin , Zhu Liping , Xu Biao
Published: March 2019

This study aimed to compare the screening and diagnosis of maternal syphilis in Shanghai between the national and municipal prevent mother-to-child transmission (PMTCT) of syphilis policies, and then to assess whether PMTCT programs and enhancing healthcare infrastructure could bring about an early detection of maternal syphilis. Detection of maternal syphilis was initiated in 2001 and then scaled-up in 2011 along with the enhancement of antenatal healthcare infrastructure. The initial five-year periods of municipal and national PMTCT policies were defined as the “exploring period” (2002–2006) and the “comprehensive period” (2011–2015). The demographic and gestational weeks (GW) of syphilis screening and diagnosis were analyzed to identify the factors affecting early detection. During the study period, maternal syphilis screening increased from 83,718 in 2002 to 243,432 in 2015. Of the 1,894,062 pregnant women screened, 1526 and 2714 participants were diagnosed with maternal syphilis in 2002–2006 and 2011–2015, respectively. The average age of diagnosis was 28.36 years and non-residents accounted for 71.1%. In the comprehensive period, more women received early syphilis screening (14.0% vs. 10.8%) and diagnosis (13.3% vs. 7.3%) within 12 GWs compared with the exploring period. Significantly, early detection grew during 2011–2015, which was not seen in the exploring period. Multivariate analysis revealed a greater possibility for infected women to be diagnosed within 16 GWs (OR = 2.76) in the comprehensive period, but those who were non-residents and unemployed were less likely to receive early detection. In conclusion, early detection of maternal syphilis has been remarkably improved. More emphasis is required on the development of pro-vulnerable policies and the implementation of tailored health education to improve the accessibility of routine antenatal care and awareness of syphilis prevention.
Good Practices in Home Kitchens: Construction and Validation of an Instrument for Household Food-Borne Disease Assessment and Prevention
Authors: da Silva Farias Adenilma , Akutsu Rita de Cassia Coelho de Almeida , Botelho Raquel Braz Assunção , Zandonadi Renata Puppin
Published: March 2019

This study aimed to develop and validate an instrument to evaluate Brazilian home kitchens’ good practices. We elaborated on the preliminary version of the check-list based on the Brazilian resolution for food safety Collegiate Board Resolution 216 (RDC 216), Collegiate Board Resolution 275 (RDC 275), the standard 22000 from the International Organization for Standardization (ISO 22000) and Codex Alimentarius. Seven experts with experience in the area participated in the check-list validation and semantic evaluation. The criteria used for the approval of the items, as to their importance for the prevention of food contamination and clarity of the wording, was the achievement of a minimum of five out of seven of agreement among the experts (W-values ≥ 0.7). Moreover, items should have a mean ≥3 for the evaluation of importance (content validation) and clarity (semantic evaluation) to be maintained in the instrument. After the expert phase, we conducted another semantic evaluation of the check-list with a focus group composed of 13 undergraduate students, one moderator, and one observer of the process, to evaluate each item regarding its clarity, considering their level of understanding of the item. The final version of the check-list was composed of 77 items, divided into four blocks. The check-list developed was validated with respect to content with a W-value of 0.86 and approved in the semantic evaluation.
Depressive Symptoms and Migrant Worker Wages: Estimation Based on a Nationally-Representative Panel Dataset
Authors: Huang Li , Zhang Xue , Zhou Mi , Nuse Brendan , Tong Liuyin
Published: March 2019

In recent years, migrant workers, defined as people who move from Chinese rural areas to cities in other parts of the country to find work, have experienced slowed wage growth. An important question that has emerged is whether depressive symptoms have a significant relationship with migrant worker wages. This paper uses a nationally representative panel dataset to examine the overall association of depressive symptoms and migrant worker wages in China and explores the indirect mechanisms through which these impacts occur. Using the Coarsened Exact Matching method, our results show that depressive symptoms have a significant direct negative relationship with migrant worker wages, and that this relationship is consistent. Furthermore, we also find that depressive symptoms can reduce migrant worker wages indirectly by increasing the frequency of job conversion or by shortening work duration.
Social Inequalities in Environmental Noise Exposure: A Review of Evidence in the WHO European Region
Authors: Dreger Stefanie , Schüle Steffen Andreas , Hilz Lisa Karla , Bolte Gabriele
Published: March 2019

Environmental noise is an important public health problem, being among the top environmental risks to health. The burden of noise exposure seems to be unequally distributed in societies. Up to now there is fragmentary evidence regarding which social groups are most affected. The aim of this review was to systematically assess published evidence on social inequalities in environmental noise exposure in the WHO European Region, taking different sociodemographic and socioeconomic dimensions as well as subjective and objective measures of environmental noise exposure into account. Articles published in English in a peer reviewed journal between 2010 and 2017 were included in the review. Eight studies were finally included in the review, four of them analysed aggregated data and four analysed individual data. Though results of social inequalities in noise exposures were mixed between and within studies, there was a trend that studies using indicators of material deprivation and deprivation indices showed higher environmental noise exposures in groups with lower socioeconomic position. More research on the social distribution of environmental noise exposure on a small spatial scale is needed, taking into account aspects of vulnerability and procedural justice.
Dengue Vector Control through Community Empowerment: Lessons Learned from a Community-Based Study in Yogyakarta, Indonesia
Authors: Sulistyawati Sulistyawati , Dwi Astuti Fardhiasih , Rahmah Umniyati Sitti , Tunggul Satoto Tri Baskoro , Lazuardi Lutfan , Nilsson Maria , Rocklov Joacim , Andersson Camilla , Holmner Åsa
Published: March 2019

Effort to control dengue transmission requires community participation to ensure its sustainability. We carried out a knowledge attitude and practice (KAP) survey of dengue prevention to inform the design of a vector control intervention. A cross-sectional survey was conducted in June–August 2014 among 521 households in two villages of Yogyakarta, Indonesia. Demographic characteristics and KAP questions were asked using a self-managed questionnaire. Knowledge, attitudes and practice scores were summarized for the population according to sex, age, occupation and education. The average knowledge score was rather poor—3.7 out of 8—although both attitude and practice scores were good: 25.5 out of 32 and 9.2 out of 11 respectively. The best knowledge within the different groups were found among women, the age group 30–44 years, people with a university degree and government employees. Best practice scores were found among retired people and housewives. There were several significant gaps in knowledge with respect to basic dengue symptoms, preventive practices and biting and breeding habits of the Aedes mosquito. In contrast, people’s practices were considered good, although many respondents failed to recognize outdoor containers as mosquito breeding sites. Accordingly, we developed a vector control card to support people’s container cleaning practices. The card was assessed for eight consecutive weeks in 2015, with pre-post larvae positive houses and containers as primary outcome measures. The use of control cards reached a low engagement of the community. Despite ongoing campaigns aiming to engage the community in dengue prevention, knowledge levels were meagre and adherence to taught routines poor in many societal groups. To increase motivation levels, bottom-up strategies are needed to involve all community members in dengue control, not only those that already comply with best practices.