bluuebunny/crossref_metadata_2025 huggingface dataset:
Magnetostratigraphy and Chronology of the Lower Pleistocene Primate Bearing Dafnero Fossil Site, N. Greece
Authors: Benammi Mouloud , Aidona Elina , Merceron Gildas , Koufos George D. , Kostopoulos Dimitris S.
Published: July 2020

This paper aims to contribute to the stratigraphic and geochronological evaluation of the primate bearing Dafnero fossil site of Northern Greece by means of lithostratigraphic, paleomagnetic and paleontological analyses. The 60 m thick fossiliferous deposits of fluviatile origin are recognized as representing a typical braided-river sequence unconformably overlying molassic sediments. Rock magnetic investigations indicate the presence of both medium and low coercivity minerals. Paleomagnetic sampling of the Dafnero sediments yielded a stable magnetic remanence, and the characteristic remanent magnetization directions pass reversal test with dual polarity. Based on calibration from mammal fossils, the normal polarity magnetozone N1 located in the upper third of the studied section could correlate with chron C2n (the Olduvai subchron), suggesting that the fossil horizon is within C2r with an extrapolated age of 2.4–2.3 Ma and rather closer to the upper age limit. The results allow the re-calibration of several middle Villafranchian assemblages of S. Balkans and the correlation of the corresponding mammal fauna with the environmental shifts of Praetiglian, as it is recorded in climatostratigraphic data from the Black Sea.
Analysis of Ion-Irradiation Induced Lattice Expansion and Ferromagnetic State in CeO2 by Using Poisson Distribution Function
Authors: Yamamoto Yuki , Ishikawa Norito , Hori Fuminobu , Iwase Akihiro
Published: July 2020

The lattice constant and the magnetic state of CeO2 are modified by the irradiation with 200 MeV Xe ions. Under the assumption that these modifications are induced in the narrow one-dimensional region (the ion track) along the ion beam path, the dependence of the lattice constant and the saturation magnetization of CeO2 on the Xe ion fluence was analyzed by using the Poisson distribution function. The analysis reveals that the lattice constant inside the ion track, which is larger than that outside the ion track, is not affected by the overlapping of the ion track. On the other hand, the ferromagnetic state is induced inside the ion track, but the analysis shows that this ferromagnetic state is gradually destroyed due to the overlapping of the ion track. The present result implies that the Poisson distribution function is useful for describing the effect of the ion track overlapping on the ion irradiation-induced ferromagnetic state in CeO2.
Exploring the Use of DSCOVR/EPIC Satellite Observations to Monitor Vegetation Phenology
Authors: Weber Maridee , Hao Dalei , Asrar Ghassem R. , Zhou Yuyu , Li Xuecao , Chen Min
Published: July 2020

Vegetation phenology plays a pivotal role in regulating several ecological processes and has profound impacts on global carbon exchange. Large-scale vegetation phenology monitoring mostly relies on Low-Earth-Orbit satellite observations with low temporal resolutions, leaving gaps in data that are important for monitoring seasonal vegetation phenology. High temporal resolution satellite observations have the potential to fill this gap by frequently collecting observations on a global scale, making it easier to study change over time. This study explored the potential of using the Earth Polychromatic Imaging Camera (EPIC) onboard the Deep Space Climate Observatory (DSCOVR) satellite, which captures images of the entire sunlit face of the Earth at a temporal resolution of once every 1–2 h, to observe vegetation phenology cycles in North America. We assessed the strengths and shortcomings of EPIC-based phenology information in comparison with the Moderate-resolution Imaging Spectroradiometer (MODIS), Enhanced Thematic Mapper (ETM+) onboard Landsat 7, and PhenoCam ground-based observations across six different plant functional types. Our results indicated that EPIC could capture and characterize seasonal changes of vegetation across different plant functional types and is particularly consistent in the estimated growing season length. Our results also provided new insights into the complementary features and benefits of the four datasets, which is valuable for improving our understanding of the complex response of vegetation to global climate variability and other disturbances and the impact of phenology changes on ecosystem productivity and global carbon exchange.
Ka-Band Doppler Scatterometry over a Loop Current Eddy
Authors: Rodríguez Ernesto , Wineteer Alexander , Perkovic-Martin Dragana , Gál Tamás , Anderson Steven , Zuckerman Seth , Stear James , Yang Xiufeng
Published: July 2020

Doppler scatterometry is a promising new technique for the simultaneous measurement of ocean surface currents and winds. These measurements have been recommended by the recent US NRC Decadal Review for NASA as being priority variables for the coming decade of Earth observations. In addition, currents and winds are useful for many applications, including assessing the operating conditions for oil platforms or tracking the dispersal of plastic or oil by surface currents and winds. While promising, Doppler scatterometry is relatively new and understanding the measurement characteristics is an important area of research. To this end, Chevron sponsored the deployment of DopplerScatt, a NASA/JPL Ka-band Doppler scatterometer, over instrumented sites located at the edge of a Gulf of Mexico Loop Current Eddy (LCE). In addition to in situ measurements, coincident synoptic maps of surface currents were collected by the Areté ROCIS instrument, an optical current measurement system. Here we report on the results of this experiment for both surface currents and winds. Surface current comparisons show that the Ka-band Current Geophysical Model Function (CGMF) needs to include wind drift currents, which could not be estimated with prior data sets. Once the CGMF is updated, ROCIS and DopplerScatt show good agreement for surface current speeds, but, at times, direction differences on the order of 10° can occur. Remote sensing optical and radar data agree better among themselves than with ADCP currents measured at 5 m depth, showing that remote sensing is sensitive to the the currents in top 1 m of the ocean. The LCE data provided a unique opportunity to study the effects of surface currents and stability conditions on scatterometer winds. We show that, like Ku-band, Ka-band estimates of winds are related to neutral winds (and wind stress) and are referenced relative to the moving frame provided by the current. This is useful for the study of air-sea interactions, but must be accounted for when using scatterometer winds for weather prediction.
Ten-Year Assessment of IASI Radiance and Temperature
Authors: Bouillon Marie , Safieddine Sarah , Hadji-Lazaro Juliette , Whitburn Simon , Clarisse Lieven , Doutriaux-Boucher Marie , Coppens Dorothée , August Thomas , Jacquette Elsa , Clerbaux Cathy
Published: July 2020

The Infrared Atmospheric Sounding Interferometers (IASIs) are three instruments flying on board the Metop satellites, launched in 2006 (IASI-A), 2012 (IASI-B), and 2018 (IASI-C). They measure infrared radiance from the Earth and atmosphere system, from which the atmospheric composition and temperature can be retrieved using dedicated algorithms, forming the Level 2 (L2) product. The operational near real-time processing of IASI data is conducted by the EUropean organisation for the exploitation of METeorological SATellites (EUMETSAT). It has improved over time, but due to IASI’s large data flow, the whole dataset has not yet been reprocessed backwards. A necessary step that must be completed before initiating this reprocessing is to uniformize the IASI radiance record (Level 1C), which has also changed with time due to various instrumental and software modifications. In 2019, EUMETSAT released a reprocessed IASI-A 2007–2017 radiance dataset that is consistent with both the L1C product generated after 2017 and with IASI-B. First, this study aimed to assess the changes in radiance associated with this update by comparing the operational and reprocessed datasets. The differences in the brightness temperature ranged from 0.02 K at 700 cm−1 to 0.1 K at 2200 cm−1. Additionally, two major updates in 2010 and 2013 were seen to have the largest impact. Then, we investigated the effects on the retrieved temperatures due to successive upgrades to the Level 2 processing chain. We compared IASI L2 with ERA5 reanalysis temperatures. We found differences of ~5–10 K at the surface and between 1 and 5 K in the atmosphere. These differences decreased abruptly after the release of the IASI L2 processor version 6 in 2014. These results suggest that it is not recommended to use the IASI inhomogeneous temperature products for trend analysis, both for temperature and trace gas trends.
Estimation of Seasonal Evapotranspiration for Crops in Arid Regions Using Multisource Remote Sensing Images
Authors: Cha Mingxing , Li Mengmeng , Wang Xiaoqin
Published: July 2020

An accurate estimation of evapotranspiration (ET) from crops is crucial in irrigation management, crop yield assessment, and optimal allocation of water resources, particularly in arid regions. This study explores the estimation of seasonal evapotranspiration for crops using multisource remote sensing images. The proposed estimation framework starts with estimating daily evapotranspiration (ETd) values, which are then used to calculate ET estimates during the crop growing season (ETs). We incorporated Landsat images into the surface energy balance algorithm over land (SEBAL) model, and we used the trapezoidal and sinusoidal methods to estimate the seasonal ET. The trapezoidal method used multitemporal ETd images, while the sinusoidal method employs time-series Moderate Resolution Imaging Spectroradiometer (MODIS) images and multitemporal ETd images. Experiments were implemented in the agricultural lands of the Kai-Kong River Basin, Xinjiang, China. The experimental results show that the obtained ETd estimates using the SEBAL model are comparable with those from the Penman–Monteith method. The ETs obtained using the trapezoidal and sinusoidal methods both have a relatively high spatial resolution of 30 m. The sinusoidal method performs better than the trapezoidal method when using low temporal resolution Landsat images. We observed that the omission of Landsat images during the middle stage of crop growth has the greatest impact on the estimation results of ETs using the sinusoidal method. Based on the results of the study, we conclude that the proposed sinusoidal method, with integrated multisource remote sensing images, offers a useful tool in estimating seasonal evapotranspiration for crops in arid regions.
A Simplified Framework for High-Resolution Urban Vegetation Classification with Optical Imagery in the Los Angeles Megacity
Authors: Coleman Red Willow , Stavros Natasha , Yadav Vineet , Parazoo Nicholas
Published: July 2020

High spatial resolution maps of Los Angeles, California are needed to capture the heterogeneity of urban land cover while spanning the regional domain used in carbon and water cycle models. We present a simplified framework for developing a high spatial resolution map of urban vegetation cover in the Southern California Air Basin (SoCAB) with publicly available satellite imagery. This method uses Sentinel-2 (10–60 × 10–60 m) and National Agriculture Imagery Program (NAIP) (0.6 × 0.6 m) optical imagery to classify urban and non-urban areas of impervious surface, tree, grass, shrub, bare soil/non-photosynthetic vegetation, and water. Our approach was designed for Los Angeles, a geographically complex megacity characterized by diverse Mediterranean land cover and a mix of high-rise buildings and topographic features that produce strong shadow effects. We show that a combined NAIP and Sentinel-2 classification reduces misclassified shadow pixels and resolves spatially heterogeneous vegetation gradients across urban and non-urban regions in SoCAB at 0.6–10 m resolution with 85% overall accuracy and 88% weighted overall accuracy. Results from this study will enable the long-term monitoring of land cover change associated with urbanization and quantification of biospheric contributions to carbon and water cycling in cities.
A Novel Infrared Thermography Sensing Approach for Rapid, Quantitative Assessment of Damage in Aircraft Composites
Authors: Farmaki Spyridoula , Exarchos Dimitrios A. , Tragazikis Ilias K. , Matikas Theodore E. , Dassios Konstantinos G.
Published: July 2020

The current necessity of the scientific and industrial community, for reduction of aircraft maintenance cost and duration, prioritizes the need for development of innovative nondestructive techniques enabling fast and reliable defect detection on aircraft fuselage and wing skin parts. Herein, a new low-cost thermographic strategy, termed Pulsed Phase-Informed Lock-in Thermography, operating on the synergy of two independent, active infrared thermography techniques, is reported for the fast and quantitative assessment of superficial and subsurface damage in aircraft-grade composite materials. The two-step approach relies on the fast, initial qualitative assessment, by Pulsed Phase Thermography, of defect location and the identification of the optimal material-intrinsic frequency, over which lock-in thermography is subsequently applied for the quantification of the damage’s dilatational characteristics. A state-of-the-art ultra-compact infrared thermography module envisioned to form part of a fully-automated autonomous nondestructive testing inspection solution for aircraft was conceived, developed, and tested on aircraft-grade composite specimens with impact damages induced at variable energy levels and on a full-scale aircraft fuselage skin composite panel. The latter task was performed in semi-automated mode with the infrared thermography module mounted on the prototype autonomous vortex robot platform. The timescale requirement for a full assessment of damage(s) within the sensor’s field of view is of the order of 60 s which, in combination with the high precision of the methodology, unfolds unprecedented potential towards the reduction in duration and costs of tactical aircraft maintenance, optimization of efficiency and minimization of accidents.
Optimization of AIN Composite Structure Based Surface Acoustic Wave Device for Potential Sensing at Extremely High Temperature
Authors: Fan Shuyao , Wang Wen , Li Xueling , Jia Yana , Sun Yuan , Liu Mengwei
Published: July 2020

A surface acoustic wave (SAW) device with an aluminum nitride (AlN) composite structure of Al2O3/IDTs/AlN/Metal/Si was proposed for sensing at extreme high-temperature in this work. Optimization allowing determination of optimal design parameters for SAW devices was conducted using the typical coupling of modes (COM) model. The SAW propagation characteristics in the layered structure were investigated theoretically by employing the finite element method (FEM). Multiple acoustic-wave modes that occurred in the AlN composite structure was analyzed, and the corresponding suppression of spurious mode was proposed. The COM simulation parameters corresponding to the effective acoustic-wave mode were extracted, and the optimized parameters of the one–port SAW resonator with a high-quality factor were determined.
Learning from Data to Optimize Control in Precision Farming
Authors: Kocian Alexander , Incrocci Luca
Published: July 2020

Precision farming is one way of many to meet a 55 percent increase in global demand for agricultural products on current agricultural land by 2050 at reduced need of fertilizers and efficient use of water resources. The catalyst for the emergence of precision farming has been satellite positioning and navigation followed by Internet-of-Things, generating vast information that can be used to optimize farming processes in real-time. Statistical tools from data mining, predictive modeling, and machine learning analyze patterns in historical data, to make predictions about future events as well as intelligent actions. This special issue presents the latest development in statistical inference, machine learning, and optimum control for precision farming.
Analysis of Pollution Related Deficiencies Identified through PSC Inspections for the Period 2014–2018
Authors: Ukić Boljat Helena , Slišković Merica , Jelaska Igor , Gudelj Anita , Jelić Mrčelić Gorana
Published: July 2020

The aim of this paper is to analyze the available data on recorded ship deficiencies during ship inspections which are related to pollution prevention. The purpose of these inspections regulated under the different Port State Control (PSC) regimes’ Memorandum of Understanding (MoUs), is to detect and disable the operation of substandard ships. The data obtained were sorted according to the six Annexes of the International Convention for the Prevention of Pollution from Ships (MARPOL) Convention, and a comparison was made within the scope of each Memorandum of Understanding by each of the Annexes and antifouling system. By using a Chi-Squared test and correlation analysis, MoUs are compared and analyzed. The conclusions thus obtained provide an insight into the most common deficiencies regarding pollution prevention in the world fleet, revealing which standards are most often met and which are trying to achieve a better degree of compliance with the standards envisaged by law.
Industrial Heritage 2.0: Internet Presence and Development of the Electronic Commerce of Industrial Tourism
Authors: Cristobal-Fransi Eduard , Daries Natalia , Martin-Fuentes Eva , Montegut-Salla Yolanda
Published: July 2020

The role that information and communication technologies (ICTs) play in business management is currently a topic of increasing interest. Web 2.0 has emerged as an important source of innovation that contributes to organizational performance and improving the competitiveness of the tourism industry. However, evidence has been found that the tourism industry encounters difficulties when it comes to adopting these technologies and effectively applying them to e-commerce. The aim of this study is to analyze whether the websites belonging to industrial tourism facilitate effective communication with their target audiences. To this end, we propose and implement a model for analyzing websites based on the content analysis technique, considering the dimensions of information, communication, e-commerce, and additional Functions. This model is applied to 128 tourism resources in Catalonia with the aim of identifying opportunities arising from the use of Web 2.0 tools and addressing identified weaknesses and thus enabling more competitive management in the industry.
Evaluating Sustainable Intensification of Groundnut Production in Northern Ghana Using the Sustainable Intensification Assessment Framework Approach
Authors: Abdul Rahman Nurudeen , Larbi Asamoah , Kotu Bekele , Kizito Fred , Hoeschle-Zeledon Irmgard
Published: July 2020

The sustainable intensification of crop production system requires the efficient use of resources. A 3-year on-farm experiment was conducted to determine the sustainability of plant density for groundnut production in Northern Ghana using the sustainable intensification assessment framework (SIAF). The SIAF allows the assessment of the sustainable intensification potential of the agricultural system in five domains: productivity, economics, environment, human, and social. The experiment was laid out in a strip plot design with six groundnut varieties (early maturity type: Chinese, Yenyewoso, and Samnut 23, and late maturity type: Azivivi, Mani pinta, and Samnut 22) as the horizontal plot factor and four plant densities (22, 15, 11, and 9 plant/m2) as the vertical plot factor. Using the SIAF as a guide, data on grain and fodder yield (productivity), net income and benefit cost ratio (economic), vegetative cover at 30, 40, and 50 days after planting and harvesting and biological nitrogen fixation (environment), calorie and protein production (human), and technology rating by gender (social) were recorded to calculate the sustainability indices of the treatments. The results showed that the sustainability indices for the Yenyewoso and Mani pinta groundnut varieties were above 1 in all the regions, indicating that both groundnut maturity types are sustainable for cultivation in the Northern regions of Ghana. Planting both groundnut maturity types at a density of 22 plant/m2 increased the sustainability index threefold compared with the farmer practice (9 plant/m2) and 79% compared with the 11 and 15 plant/m2. This suggests that planting groundnut at a density of 22 plant/m2 will sustainably intensify groundnut production in Northern Ghana and similar agro-ecologies across West Africa.
Green Human Resource Management: An Evidence-Based Systematic Literature Review
Authors: Benevene Paula , Buonomo Ilaria
Published: July 2020

The United Nations’ report “Our Common Future” contributed to underline the crucial role of human resource management in strategically greening the organization and, in turn, economics and society at large. This awareness gave birth to green human resource management (GHRM). Despite the high number of papers addressing GHRM, this topic lacks a proper theoretical, methodological, and empirical systematization. A possible step towards a better understanding of GHRM is an evidence-based analysis of its practices’ outcomes. Developing these reflections and considerations, we conducted a systematic literature review on the evidence-based literature about the antecedents and outcomes of GHRM practices, following the PRISMA guidelines. We selected 48 papers. Most selected studies (n = 25) did not tackle single GHRM activities and processes. Studies considering specific GHRM areas tackled some dimensions more frequently (e.g., “training and development”, “performance management and appraisal”), while underrepresenting others (e.g., “Job analysis and description”). At the same time, selected studies focused on GHRM consequences for organizations, showing a high adherence to the ability, motivation, opportunity (AMO) theoretical framework. Suggestions for future research are provided.
Affordable Housing Provision in Informal Settlements through Land Value Capture and Inclusionary Housing
Authors: Nzau Bernard , Trillo Claudia
Published: July 2020

Public-driven attempts to provide decent housing to slum residents in developing countries have either failed or achieved minimal output when compared to the growing slum population. This has been attributed mainly to shortage of public funds. However, some urban areas in these countries exhibit vibrant real estate markets that may hold the potential to bear the costs of regenerating slums. This paper sheds light on an innovative hypothesis to achieve slum regeneration by harnessing the real estate market. The study seeks to answer the question “How can urban public policy facilitate slum regeneration, increase affordable housing, and enhance social inclusion in cities of developing countries?” The study approaches slum regeneration from an integrated land economics and spatial planning perspective and demonstrates that slum regeneration can successfully be managed by applying land value capture (LVC) and inclusionary housing (IH) instruments. The research methodology adopted is based on a hypothetical master plan and related housing policy and strategy, aimed at addressing housing needs in Kibera, the largest slum in Nairobi, Kenya. This simulated master plan is complemented with economic and residual land value analyses that demonstrate that by availing land to private developers for inclusionary housing development, it is possible to meet slum residents’ housing needs by including at least 27.9% affordable housing in new developments, entirely borne by the private sector. Findings suggest that under a robust public-led governance umbrella, market forces can (1) significantly contribute to fill the financial gap in order to achieve the end of slums by 2050 in coherence with the United Nations Agenda 2030 targets and principles, and (2) increase both affordable and market housing in upgraded neighbourhoods, hence enhancing social inclusion in cities of developing countries.
Sustaining Enterprise Operations and Productivity during the COVID-19 Pandemic: “Enterprise Effectiveness and Sustainability Model”
Authors: Obrenovic Bojan , Du Jianguo , Godinic Danijela , Tsoy Diana , Khan Muhammad Aamir Shafique , Jakhongirov Ilimdorjon
Published: July 2020

The research explores key factors impacting enterprise operational sustainability and the ability to transcend adversity during different stages of a crisis, such as the COVID-19 pandemic. The current study draws from the Theory of Crisis Management Teams, the Stakeholder Theory, and the Distributed Cognition Theory to build an “Enterprise Effectiveness and Sustainability Model during Pandemic.” Existing theoretical background joint with contemporary success case studies helped to identify the essential aspects and strategies enterprises should employ to survive and thrive during crisis and post-crisis. We have conceptualized an innovative approach to COVID-19 from the perspective of organizational characteristics, operations, digital transformation, and financial planning. The findings suggest that enterprises having distributed leadership, workforce and adaptive culture sustain business operations during a pandemic. Furthermore, resilient enterprises allow for more informed and decentralized decision-making. Prosperous organizations leverage Internet and Communication Technology (ICT) and integrate Intranet, social media, and online communication platforms into their daily business routines, as this helps to establish trust and build bonds with employees, stakeholders, and customers during and post-crisis. Finally, balancing between the stockpiling of resources and resiliency is crucial in anticipation of a crisis. Therefore, we conclude that enterprises with financial contingency plans sustain their business operations during a pandemic.
Design and Performance Analysis of a Lightweight Flexible nZEB
Authors: Salvalai Graziano , Sesana Marta Maria , Brutti Diletta , Imperadori Marco
Published: July 2020

Starting from an experimental activity, the paper describes research analysis that has been conducted on a real case construction with the aim to design its adaptation as a nearly zero energy building in three possible alternative scenarios: (i) a lab for students’ activities in the Lecco University Campus of Politecnico di Milano; (ii) an Alpine shelter for the implementation of a sustainable mountain tourism in Zermatt; (iii) an emergency shelter for poor communities in Burkina Faso. The use of an easily disassembled and lightweight steel structure coupled with dry-layered technologies allows a tailor-made envelope design, ensuring high thermal comfort, very low energy use, and limited construction times. The three case studies have been designed starting from the same architectural/structural concept. A detailed analysis, by means of finite element method and dynamic building thermal simulations, has been performed to predict the overall performances of each case study. The results show: (i) high replicability of the concept; (ii) high customization of the envelope technologies; (iii) high energy efficiency; and (iv) high thermal comfort of the architecture. The useful energy requirement in all the three analyzed scenarios is minimized and equal to 14.13, 23.88, and 41.83 kWh/m2 year, respectively, for the students’ lab, the Alpine shelter and the emergency shelter. According to this study the energy needs can be covered by renewable energy produced on site, making the architectural concept an interesting modular lightweight solution for a nearly zero energy building with high potential for replicability.
Effect of Residents’ Involvement with Small Hydropower Projects on Environmental Awareness
Authors: Noda Keigo , Miyai Kazuki , Ito Kengo , Senge Masateru
Published: July 2020

Small hydropower plants utilizing unharnessed energy in existing irrigation systems are a prominent source of renewable energy. In Japan, land improvement districts play a key role in the management of irrigation systems, but face serious problems in terms of management sustainability and require participation from non-farmers. The purpose of this study was to examine the effect of residents’ involvement in small hydropower projects on their environmental awareness and understanding of the projects’ multifunctional regional value. We administered a questionnaire survey to 238 households in three areas: Itoshiro, Kashimo and Ibigawa. The respondents were categorized into four groups: participation, recognition, knowledge and control. Based on the degree of respondents’ involvement in small hydropower projects, inclusive relationships between their involvement and awareness were revealed. These relationships suggest that the trigger of resident involvement is a key factor in developing sustainable small hydro facilities within existing irrigation systems.
The Economic Viability of a Progressive Smart Building System with Power Storage
Authors: Janhunen Eerika , Leskinen Niina , Junnila Seppo
Published: July 2020

The increased smartness of the built environment is expected to contribute positively to climate change mitigation through energy conservation, efficient renewable energy utilization, and greenhouse gas emission reduction. Accordingly, significant investments are required in smart technologies, which enable the distributed supply of renewables and increased demand-side energy flexibility. The present study set out to understand the cash flows and economic viability of a real-life smart system investment in a building. The data collection process was threefold: First, a case building’s level of (energy) smartness was estimated. Second, the semi-structured interviews were held to understand the building owner’s motives for a smart investment. Third, the investment’s profitability was analyzed. The study found that the progressive smartness investment was technically feasible, and surprisingly also economically profitable. The original EUR 6 million investment provided over 10% return-on-investment and, thus, increased the property value by more than EUR 10 million. Moreover, the commercial partners also emphasized the strategic value gained by renewable energy and environmental performance. The high level of smartness with a good return on investment was accomplished mainly through new income generated from the reserve power markets. However, the results implied that financial profitability alone was not enough to justify the economic viability of a smart building system investment.
Life Cycle Assessment of Thai Hom Mali Rice to Support the Policy Decision on Organic Farming Area Expansion
Authors: Mungkung Rattanawan , Sitthikitpanya Saruda , Dangsiri Sarocha , Gheewala Shabbir H.
Published: July 2020

Thailand has a strategic national policy to increase organic rice farming. This study firstly applied Life Cycle Assessment for evaluating the quantitative environmental impacts at the regional and national levels to facilitate the national policy decision on the expansion of organic rice cultivation areas. The impact categories of interest included global warming, terrestrial acidification, freshwater eutrophication, terrestrial ecotoxicity, and freshwater ecotoxicity, and the life cycle impact assessment method applied was ReCiPe. The results showed that the life cycle environmental impacts from organic rice cultivation in the nine provinces in the North were lower than those from the 12 provinces in the Northeast, due mainly to the higher yields and lower use of fertilizers in the former. The methane emissions in the North (11,147 kg CO2e/ha) were similar to those in the Northeast (11,378 kg CO2e/ha). However, nitrous oxide emissions in the Northeast were higher than in the North due to the higher amounts of fertilizer used. If Thailand expands the rice farming by 50% in the North and by 50% in the Northeast, the greenhouse gas emissions could be reduced from 11,400 to 11,100 kg CO2e/ha, but the impacts of terrestrial acidification, freshwater eutrophication, terrestrial ecotoxicity, and freshwater ecotoxicity could be increased by 0.0257 kg PO4e (95%), 0.508 kg 1,4-DBe (53%), and 33.1 kg 1,4-DBe (17%), respectively. To reduce the global warming as well as other environmental impacts, Thailand should expand rice farming areas to the North. This information could be useful for supporting the policy decisions on which areas the organic rice farming should be expanded in to minimize the potential life cycle environmental impacts.
Urban Microclimate Canopy: Design, Manufacture, Installation, and Growth Simulation of a Living Architecture Prototype
Authors: Shu Qiguan , Middleton Wilfrid , Dörstelmann Moritz , Santucci Daniele , Ludwig Ferdinand
Published: July 2020

Urban Microclimate Canopy is a digitally fabricated fiber glass structure supporting climbing plants in order to explore new ways of integrating vegetation in densely built urban environments. A prototype was designed and manufactured in the context of an interdisciplinary studio with master’s students following an approach of research by design. Varying the assembly of winding frames and fiber weaving syntax generates diverse geometric shape and structural performance. For two short-term exhibitions, ivy plants were temporarily installed in the structure. This first step was followed with a reflection of systematic integration of the growth processes of climbing plants and parametric design. An iterative solution is given, consisting of a feedback loop linking the design of the technical structure, the simulation of plant growth, and the simulation of the environmental effects of the hybrid structure. To achieve this a novel framework for simulating twining plant’s growth on network-like structures is presented: external stimuli define a cone-shaped circumnutation space (searching space model) which results in a climbing path (climbing steps model). The framework is constructed to integrate improved individual functions (such as stimuli of circumnutation) for better simulation results. To acquire more knowledge about interactions between the plants and the fiber structure, the prototype was installed permanently and planted with three different climbing plants, representing different climbing mechanisms.
Simulation Modeling of the Sustainable Supply Chain
Authors: Hoffa-Dabrowska Patrycja , Grzybowska Katarzyna
Published: July 2020

The development of the global economy affects the environment in which we are living, often in negative ways, including pollutions, exhaust emissions, depletion of natural resources, and other concerns. Therefore, it is so important to use resources in a reasonable, sustainable manner and to be aware of the impact of our activities on the environment, which in the next stage translates into trying to limit negative impacts to the environment. Aspects of sustainable supply chain (SSC) have become more and more popular in the last years. Entrepreneurs pay more attention to the aspect of sustainable development in their activities, especially to exhaust emissions. The rational use of resources is also a very important topic. Not only economic aspects but also environmental and social topics are taken into account in company politics, which is characteristic of sustainable development. The main purpose of this article is to show the benefits of SSC. For this purpose, the simulation models showing the supply chain and the sustainable supply chain will be built. The benefits of SSC in economic and environmental aspects will be presented using a computer simulation tool. Using a simulation tool fits in with sustainability; thanks to modeling supply chains in their virtuality and analysis, many resources can be saved in reality (for example, thanks to the consolidation of freight).
Factors for Self-Protective Behavior against Extreme Weather Events in the Philippines
Authors: Werg Jana Lorena , Grothmann Torsten , Spies Michael , Mieg Harald A.
Published: July 2020

We report the results on factors for self-protective behavior against weather extremes such as extreme heat events, drought, and heavy precipitation. Our research draws on the Model of Private Proactive Adaptation to Climate Change (MPPACC). We developed a survey instrument incorporating the main aspects of the MPPACC and other factors from related research work that are assumed to explain why some people show self-protective behavior while others do not. The interview survey was conducted with a non-random sample of 210 respondents from three Philippine cities, namely Baguio, Dagupan, and Tuguegarao. The results reveal the importance of adaptation appraisal, including the perceived feasibility of self-protective measures, the perceived adaptation knowledge, and, with limitations, the perception of actions taken by neighbors or friends. We also show that perceptions of past weather trends are closely linked to risk perception but are only partly corroborated by weather station data. Implications for fostering self-protective behavior are making use of time windows right after an extreme weather event and focusing on enhancing adaptation appraisal.
A Successful Approach of the First Ecological Compensation Demonstration for Crossing Provinces of Downstream and Upstream in China
Authors: Li Guoguang , Wang Qingxiu , Liu Guihuan , Zhao Yue , Wang Yuqiu , Peng Shitao , Wei Yanjie , Wang Jinnan
Published: July 2020

As the first pilot provincial water environmental compensation set up at the national level, the Xin’anjiang River Basin plays a very important exemplary and guiding role in the ecological compensation of transboundary basins in China. There is no paper evaluating the environmental performance in watershed scale after getting rid of the natural factor’s effect. Here we issue a new approach to evaluate it, combing the SPAtially Referenced Regression On Watershed attributes (SPARROW) models and data envelopment analysis (DEA) method, based on counterfactual scenarios. After ecological compensation, the results show that the decrease of total nitrogen (TN) non-point source export coefficient was stable (17.16–17.78% in different sources), while that of total phosphorus (TP; 8.51–17.75%) and permanganate index (CODMn; 13.10–21.41%) was not. The projects of fertilizer application’s effects were relatively obvious; on average, the decreases of the export coefficients were 17.16%, 17.75%, and 21.41% in TN, TP, and CODMn models, respectively, showing the importance of eco-compensation regulation, not only in non-point source pollution reduction but also resulting in high levels of eco-compensation efficiencies, especially in scale efficiencies. By assessing parameter and modeling uncertainty with the use of the generalized likelihood uncertainty estimation (GLUE) method, the models’ structure well represents the hydrological behavior. This study also provides policymakers with a new perspective in accurately measuring the impact of environmental performance, to guide the next step of environmental investment optimization.
Data Hiding in Symmetric Circular String Art
Authors: Yan Yu-Song , Cai Hui-Li , Yan Bin
Published: July 2020

Creative digital artwork is usually the outcome of a long period of intellectual creation and labor of an artist. Similarly, computer-created digital artwork is an outcome of a large amount of machine time and computational resources. However, such intellectual properties can be easily copied by illegal users. Copyright protection of digital art is increasingly more important than before. Recently, using a computational approach to generate string art tends to be popular and attractive. To protect the illegal usage of the digital form of string art, we propose a data hiding algorithm specifically designed for string art. A digital string art image consists of a sequence of string lines, each specified by two nails fixed at the two ends of that line. The encrypted secret data (the watermark) is embedded into the list of line segments by odd–even modulation, where a bit ‘1’ is embedded by forcing the next node to be an odd node, and a bit ‘0’ is embedded by forcing the next node to be an even node. To minimize the impact of data embedding on the quality of the original string art image, a local optimization algorithm is developed to select the nodes that produce minimal distortion. To quantify the embedding distortion, we introduce a smoothing filter model for the human vision system (HVS) specifically tailored to string art image. Experimental results show that using the proposed algorithm, the distortion between the original string art image and the watermarked string art image is unnoticeable. The modified string art image is statistically indistinguishable from the original string art, and hence is secure under steganalysis. To our best knowledge, this is the first work towards data hiding and copyright protection of digital string art.
A Commingle between the Contractive Conditions of Type Jungck and a General Weak Commutativity Concept
Authors: Sessa Salvatore , Alfaqih Waleed M. , Imdad Mohammad
Published: July 2020

In this work, we prove a common fixed point theorem of type Jungck under a generalized definition of weak commutativity and a well-known contractive inequality by commingling both conditions in the proof. Some open questions are also indicated and intimately connected (or not?) to the metric to be used.
Scavenging Intracellular ROS Attenuates p-Cresyl Sulfate-Triggered Osteogenesis through MAPK Signaling Pathway and NF-κB Activation in Human Arterial Smooth Muscle Cells
Authors: Chang Jia-Feng , Hsieh Chih-Yu , Liou Jian-Chiun , Liu Shih-Hao , Hung Chi-Feng , Lu Kuo-Cheng , Lin Chih-Cheng , Wu Chang-Chin , Ka Shuk-Man , Wen Li-Li , Wu Mai-Szu , Zheng Cai-Mei , Ko Wen-Chin
Published: July 2020

Osteogenesis in human arterial smooth muscle cell (HASMC) is a key feature of uremic vascular calcification (UVC). Concerning pro-oxidant properties of p-cresyl sulfate (PCS), the therapeutic effect of reactive oxygen species (ROS) scavenger on PCS triggered inflammatory signaling transduction in osteogenesis was investigated in this translational research. Based on severity level of chronic kidney disease (CKD), arterial specimens with immunohistochemistry stain were quantitatively analyzed for UVC, oxidative injury and osteogenesis along with PCS concentrations. To mimic human UVC, HASMC model was used to explore whether PCS-induced ROS could trigger mitogen-activated protein kinase (MAPK) pathways with nuclear factor-κB (NF-κB) translocation that drive context-specific gene/protein expression, including Runt-related transcription factor 2 (Runx2) and alkaline phosphatase (ALP). In parallel with PCS accumulation, CKD arteries corresponded with UVC severity, oxidative DNA damage (8-hydroxy-2′-deoxyguanosine), Runx2 and ALP. PCS directly phosphorylated extracellular signal-regulated kinase (ERK)/c-Jun N-terminal kinase (JNK)/P38 (pERK/pJNK/pP38) and modulated NF-κB translocation to promote expressions of Runx2 and ALP in HASMC. Notably, intracellular ROS scavenger attenuated pERK signaling cascade and downstream osteogenic differentiation. Collectively, our data demonstrate PCS induces osteogenesis through triggering intracellular ROS, pERK/pJNK/pP38 MAPK pathways and NF-κB translocation to drive Runx2 and ALP expressions, culminating in UVC. Beyond mineral dysregulation, osteocytic conversion in HASMC could be the stimulation of PCS. Thus PCS may act as a pro-osteogenic and pro-calcific toxin. From the perspective of translational medicine, PCS and intracellular ROS could serve as potential therapeutic targets for UVC in CKD patients.
Effective Zearalenone Degradation in Model Solutions and Infected Wheat Grain Using a Novel Heterologous Lactonohydrolase Secreted by Recombinant Penicillium canescens
Authors: Shcherbakova Larisa , Rozhkova Alexandra , Osipov Dmitrii , Zorov Ivan , Mikityuk Oleg , Statsyuk Natalia , Sinitsyna Olga , Dzhavakhiya Vitaly , Sinitsyn Arkady
Published: July 2020

This paper reports the first results on obtaining an enzyme preparation that might be promising for the simultaneous decontamination of plant feeds contaminated with a polyketide fusariotoxin, zearalenone (ZEN), and enhancing the availability of their nutritional components. A novel ZEN-specific lactonohydrolase (ZHD) was expressed in a Penicillium canescens strain PCA-10 that was developed previously as a producer of different hydrolytic enzymes for feed biorefinery. The recombinant ZHD secreted by transformed fungal clones into culture liquid was shown to remove the toxin from model solutions, and was able to decontaminate wheat grain artificially infected with a zearalenone-producing Fusarium culmorum. The dynamics of ZEN degradation depending on the temperature and pH of the incubation media was investigated, and the optimal values of these parameters (pH 8.5, 30 °C) for the ZHD-containing enzyme preparation (PR-ZHD) were determined. Under these conditions, the 3 h co-incubation of ZEN and PR-ZHD resulted in a complete removal of the toxin from the model solutions, while the PR-ZHD addition (8 mg/g of dried grain) to flour samples prepared from the infected ZEN-polluted grain (about 16 µg/g) completely decontaminated the samples after an overnight exposure.
Cosmic-Ray Database Update: Ultra-High Energy, Ultra-Heavy, and Antinuclei Cosmic-Ray Data (CRDB v4.0)
Authors: Maurin David , Dembinski Hans Peter , Gonzalez Javier , Mariş Ioana Codrina , Melot Frédéric
Published: July 2020

We present an update on CRDB, the cosmic-ray database for charged species. CRDB is based on MySQL, queried and sorted by jquery and table-sorter libraries, and displayed via PHP web pages through the AJAX protocol. We review the modifications made on the structure and outputs of the database since the first release (Maurin et al., 2014). For this update, the most important feature is the inclusion of ultra-heavy nuclei (Z>30), ultra-high energy nuclei (from 1015 to 1020 eV), and limits on antinuclei fluxes (Z≤−1 for A>1); more than 100 experiments, 350 publications, and 40,000 data points are now available in CRDB. We also revisited and simplified how users can retrieve data and submit new ones. For questions and requests, please contact crdb@lpsc.in2p3.fr.
A Lactococcal Phage Protein Promotes Viral Propagation and Alters the Host Proteomic Response During Infection
Authors: Lemay Marie-Laurence , Maaß Sandra , Otto Andreas , Hamel Jérémie , Plante Pier-Luc , Rousseau Geneviève M. , Tremblay Denise M. , Shi Rong , Corbeil Jacques , Gagné Stéphane M. , Becher Dörte , Moineau Sylvain
Published: July 2020

The lactococcal virulent phage p2 is a model for studying the Skunavirus genus, the most prevalent group of phages causing milk fermentation failures in cheese factories worldwide. This siphophage infects Lactococcus lactis MG1363, a model strain used to study Gram-positive lactic acid bacteria. The structural proteins of phage p2 have been thoroughly described, while most of its non-structural proteins remain uncharacterized. Here, we developed an integrative approach, making use of structural biology, genomics, physiology, and proteomics to provide insights into the function of ORF47, the most conserved non-structural protein of unknown function among the Skunavirus genus. This small phage protein, which is composed of three α-helices, was found to have a major impact on the bacterial proteome during phage infection and to significantly reduce the emergence of bacteriophage-insensitive mutants.