bluuebunny/crossref_metadata_2025 huggingface dataset:
Visual Scene-Aware Hybrid and Multi-Modal Feature Aggregation for Facial Expression Recognition
Authors: Lee Min Kyu , Kim Dae Ha , Song Byung Cheol
Published: September 2020

Facial expression recognition (FER) technology has made considerable progress with the rapid development of deep learning. However, conventional FER techniques are mainly designed and trained for videos that are artificially acquired in a limited environment, so they may not operate robustly on videos acquired in a wild environment suffering from varying illuminations and head poses. In order to solve this problem and improve the ultimate performance of FER, this paper proposes a new architecture that extends a state-of-the-art FER scheme and a multi-modal neural network that can effectively fuse image and landmark information. To this end, we propose three methods. To maximize the performance of the recurrent neural network (RNN) in the previous scheme, we first propose a frame substitution module that replaces the latent features of less important frames with those of important frames based on inter-frame correlation. Second, we propose a method for extracting facial landmark features based on the correlation between frames. Third, we propose a new multi-modal fusion method that effectively fuses video and facial landmark information at the feature level. By applying attention based on the characteristics of each modality to the features of the modality, novel fusion is achieved. Experimental results show that the proposed method provides remarkable performance, with 51.4% accuracy for the wild AFEW dataset, 98.5% accuracy for the CK+ dataset and 81.9% accuracy for the MMI dataset, outperforming the state-of-the-art networks.
Introduction to Noise Radar and Its Waveforms
Authors: Palo Francesco De , Galati Gaspare , Pavan Gabriele , Wasserzier Christoph , Savci Kubilay
Published: September 2020

In the system-level design for both conventional radars and noise radars, a fundamental element is the use of waveforms suited to the particular application. In the military arena, low probability of intercept (LPI) and of exploitation (LPE) by the enemy are required, while in the civil context, the spectrum occupancy is a more and more important requirement, because of the growing request by non-radar applications; hence, a plurality of nearby radars may be obliged to transmit in the same band. All these requirements are satisfied by noise radar technology. After an overview of the main noise radar features and design problems, this paper summarizes recent developments in “tailoring” pseudo-random sequences plus a novel tailoring method aiming for an increase of detection performance whilst enabling to produce a (virtually) unlimited number of noise-like waveforms usable in different applications.
A Novel Time Delay Estimation Algorithm for 5G Vehicle Positioning in Urban Canyon Environments
Authors: Deng Zhongliang , Zheng Xinyu , Wang Hanhua , Fu Xiao , Yin Lu , Liu Wen
Published: September 2020

Vehicle positioning with 5G can effectively compensate for the lack of vehicle positioning based on GNSS (Global Navigation Satellite System) in urban canyons. However, there is also a large ranging error in the non-line of sight (NLOS) propagation of 5G. Aiming to solve this problem, we consider a new time delay estimation algorithm called non-line of sight cancellation multiple signal classification (NC-MUSIC). This algorithm uses cross-correlation to identify and cancel the NLOS signal. Then, an unsupervised multipath estimation method is used to estimate the number of multipaths and extract the noise subspace. The MUSIC spectral function can be calculated by the noise subspace. Finally, the time delay of the direct path is estimated by searching the peak of MUSIC spectral function. This paper adopts the 5G channel model developed by 3GPP TR38.901 for simulation experiments. The experiment results demonstrated that the proposed algorithm has obvious advantages in terms of NLOS propagation for urban canyon environments. It provided a high-precision time delay estimation algorithm for observed time difference of arrival (OTDOA), joint angle of arrival (AOA) ranging, and other positioning methods in the 5G vehicle positioning method, which can effectively improve the positioning accuracy of 5G vehicle positioning in urban canyon environments.
Spatial–Spectral Feature Refinement for Hyperspectral Image Classification Based on Attention-Dense 3D-2D-CNN
Authors: Zhang Jin , Wei Fengyuan , Feng Fan , Wang Chunyang
Published: September 2020

Convolutional neural networks provide an ideal solution for hyperspectral image (HSI) classification. However, the classification effect is not satisfactory when limited training samples are available. Focused on “small sample” hyperspectral classification, we proposed a novel 3D-2D-convolutional neural network (CNN) model named AD-HybridSN (Attention-Dense-HybridSN). In our proposed model, a dense block was used to reuse shallow features and aimed at better exploiting hierarchical spatial–spectral features. Subsequent depth separable convolutional layers were used to discriminate the spatial information. Further refinement of spatial–spectral features was realized by the channel attention method and spatial attention method, which were performed behind every 3D convolutional layer and every 2D convolutional layer, respectively. Experiment results indicate that our proposed model can learn more discriminative spatial–spectral features using very few training data. In Indian Pines, Salinas and the University of Pavia, AD-HybridSN obtain 97.02%, 99.59% and 98.32% overall accuracy using only 5%, 1% and 1% labeled data for training, respectively, which are far better than all the contrast models.
A New SDN-Based Routing Protocol for Improving Delay in Smart City Environments
Authors: EL-Garoui Lamia , Pierre Samuel , Chamberland Steven
Published: September 2020

The smart city is an ecosystem that interconnects various devices like sensors, actuators, mobiles, and vehicles. The intelligent and connected transportation system (ICTS) is an essential part of this ecosystem that provides new real-time applications. The emerging applications are based on Internet-of-Things (IoT) technologies, which bring out new challenges, such as heterogeneity and scalability, and they require innovative communication solutions. The existing routing protocols cannot achieve these requirements due to the surrounding knowledge supported by individual nodes and their neighbors, displaying partial visibility of the network. However, the issue grew ever more arduous to conceive routing protocols to satisfy the ever-changing network requirements due to its dynamic topology and its heterogeneity. Software-Defined Networking (SDN) offers the latest view of the entire network and the control of the network based on the application’s specifications. Nonetheless, one of the main problems that arise when using SDN is minimizing the transmission delay between ubiquitous nodes. In order to meet this constraint, a well-attended and realistic alternative is to adopt the Machine Learning (ML) algorithms as prediction solutions. In this paper, we propose a new routing protocol based on SDN and Naive Bayes solution to improve the delay. Simulation results show that our routing scheme outperforms the comparative ones in terms of end-to-end delay and packet delivery ratio.
Centering the Complexity of Long-Term Unemployment: Lessons Learned from a Critical Occupational Science Inquiry
Authors: Aldrich Rebecca M. , Rudman Debbie Laliberte , Park Na Eon (Esther) , Huot Suzanne
Published: September 2020

Inquiries that rely on temporal framings to demarcate long-term unemployment risk generating partial understandings and grounding unrealistic policy solutions. In contrast, this four-phase two-context study aimed to generate complex understandings of post-recession long-term unemployment in North America. Grounded in a critical occupational perspective, this collaborative ethnographic study also drew on street-level bureaucracy and governmentality perspectives to understand how social policies and discursive constructions shaped people’s everyday ‘doing’ within the arena of long-term unemployment. Across three phases, study methods included interviews with 15 organizational stakeholders who oversaw employment support services; interviews, participant observations, and focus groups with 18 people who provided front-line employment support services; and interviews, participant observations, time diaries, and occupational mapping with 23 people who self-identified as being long-term unemployed. We draw on selected interviews and mapping data to illustrate how participants’ definitions and experiences of long-term unemployment reflected and moved beyond dominant temporally based framings. These findings reinforce the need to expand the dominant conceptualizations of long-term unemployment that shape scholarly inquiries and policy responses. Reflections on the benefits and challenges of this study’s design also reinforce the need to use multiple, flexible methods to center the complexity of long-term unemployment as it is experienced in everyday life.
Towards a Comprehensive School Effectiveness Model of Citizenship Education: An Empirical Analysis of Secondary Schools in The Netherlands
Authors: Coopmans Manja , Ten Dam Geert , Dijkstra Anne Bert , Van der Veen Ineke
Published: September 2020

We still have only a limited understanding of the effectiveness of schools in promoting citizenship, the factors explaining this effectiveness and the way in which these aspects interact. Using elaborate cross-sectional data from students, teachers, team leaders and school leaders at 78 Dutch secondary schools, this study empirically examines a school effectiveness model of citizenship education in order to achieve a more comprehensive explanation of citizenship competence acquisition. Using multilevel structural equation models, we analyze direct and indirect school-level predictors of student knowledge, attitudes and self-evaluated skills regarding citizenship. Four aspects of citizenship education are examined: the school’s policies regarding citizenship education, its teaching practices, and its professional and pedagogical learning environment (i.e., teaching community and classroom climate). With respect to school policies, positive effects are found for the attention paid to citizenship education in staff meetings. The professional learning environment is related to students’ citizenship competences mainly indirectly, via the average classroom climate. Effects of teaching practices vary: more emphasis on monitoring is more frequently found at schools with lower average levels of citizenship competences, whereas schools that let students choose their own topics in class have on average higher levels of citizenship competences.
Jockey Career Length and Risk Factors for Loss from Thoroughbred Race Riding
Authors: Legg Kylie , Cochrane Darryl , Gee Erica , Rogers Chris
Published: September 2020

Professional thoroughbred racing jockeys repeatedly work close to physiological capacity during races, whilst maintaining low body weights, on a daily basis with no off-season. The effects of this on their career length is unknown. The aim of this study was to examine the career lengths and reasons for loss from the industry of 674 jockeys and apprentices who rode over 14 racing seasons and 421,596 race day starts in New Zealand. Descriptors were compared between jockeys in short (1–2 years), middle (3–9 years) and long (>10 years) career cohorts with descriptive statistics and Kaplan–Meier survival curves. The median career length for jockeys was 2 years (IQR 1–6). Long career cohort jockeys (11%) had lower carried weights (IQR 56–57 kg, p = 0.03), 40 times the median number of rides per season (248, IQR 61–434, p < 0.001), half the rate per 1000 rides of falling (1.1, 95% CI 1.0–1.2, p = 0.009) and 1.3 times the rate of winning (100, 95% CI 99–101, p < 0.01) than jockeys in the short career cohort. Jockeys who rode over 200 races per season had careers three times longer than jockeys with fewer races per season (p < 0.001). Half of the 40% of jockeys who failed to complete their apprenticeship were lost from the industry in their first year of race riding. In conclusion, most jockeys had short careers where the workload of a jockey and their ability to obtain rides had greater impact on career longevity than their performance.
Analysis of Sustainability Knowingness, Attitudes and Behavior of a Spanish Pre-Service Primary Teachers Sample
Authors: Marcos-Merino José María , Corbacho-Cuello Isaac , Hernández-Barco Míriam
Published: September 2020

In the context of climatic emergency, teaching for sustainability is crucial to transform damaging behavioral social paths into sustainable ones. In this contribution, we focus on the relevance of the Degree in Primary Education to reach this change, assessing through the Sustainability Consciousness Questionnaire (SCQ) the sustainability awareness of a sample of 151 students of this bachelor’s degree. SPSS and JASP statistical programs were used for data analyses and graphical representations. The results support that this test is appropriate to estimate the different dimensions of sustainability consciousness of Spanish pre-service primary teachers. Specifically, we found that these students assign higher scores to items of sustainability knowingness and sustainability attitudes above all in the social dimension. Some gender differences are found in sustainability behavior, which is higher in the male subset for the economic dimension. Correlation analysis reveals positive associations between sustainability knowingness and sustainability attitudes, whereas sustainability behavior is positively related to both constructs but only in the social dimension. These results highlight the necessity of teaching sustainability looking for behavioral changes in the Degree of Primary Education.
Blending Bottom-Up and Top-Down Urban Village Redevelopment Modes: Comparing Multidimensional Welfare Changes of Resettled Households in Wuhan, China
Authors: Yang Qing , Song Yan , Cai Yinying
Published: September 2020

Urban village redevelopment has multidimensional impacts on resettled households. These impacts can reflect the sustainability of urban village redevelopment. This study empirically compares the gains and losses of the welfare in economic conditions, living conditions, natural environment, psychological conditions, and social security in bottom-up and top-down urban village redevelopment cases in Wuhan, China. The results show that a bottom-up redevelopment mode with participative residents caused negative effects in economic welfare but positive effects on living conditions, natural environment, and psychological condition, thus promoting higher comprehensive welfare and satisfaction. Top-down redevelopment led by the government provides villagers with shared dividends through collective economic reform and thus, contributes to gains in economic conditions and social security. However, top-down redevelopment with less participation of residents leads to welfare losses in living conditions, natural environment, and psychological conditions, which results in lower welfare and satisfaction levels overall. Therefore, a middle-out redevelopment mode with a combination of government efforts and public participation are proposed as a solution for sustainable urban redevelopment.
NaCl Improves Suaeda salsa Aniline Tolerance in Wastewater
Authors: Xu Jie , Liu Yi , Zhu Chao , Jia Honglei , Tian Changyan , Ma Hongrui , Lv Guanghui
Published: September 2020

Halophytes have been studied as a model for morphological traits of adaptation to saline environments. However, little information has been given on plant growth, chlorophyll fluorescence responses, and change of ion content in halophytes grown in an aniline–salinity coexistent environment. This study hypothesized that aniline could induce alterations in plant growth, chlorophyll fluorescence, and ion content in Suaeda salsa, but salinity could promote the tolerance of halophytes to aniline. A 6 (aniline) × 3 (NaCl) factorial experiment (for a total of 18 treatments) was conducted to test the above hypothesis. After 30 d of cultivation, roots and shoots were harvested separately to analyze the effects of salinity on the seedling growth under aniline stress. Biomass accumulation was inhibited by aniline treatment, and the inhibition was significantly alleviated by 200 mM NaCl. The change in chlorophyll fluorescence in leaves with aniline stress was moderated by the addition of NaCl. The removal efficiency of aniline was significantly enhanced by moderate salinity. Aniline stress decreased the accumulation of Mg2+, but various concentrations of NaCl increased the accumulation of Mg2+, especially with 200 mM NaCl in both roots and shoots. Both aniline and salinity decreased the content of Ca2+. There was a negative correlation between the K+ and NaCl concentrations and between the Cl− and aniline concentrations. Our results indicated that Suaeda salsa may be suitable for the remediation of salinity and aniline-enriched wastewater.
Speaking Up about Workplace Safety: An Experimental Study on Safety Leadership
Authors: Bazzoli Andrea , Curcuruto Matteo , Morgan James I. , Brondino Margherita , Pasini Margherita
Published: September 2020

In this study, we test whether different types of safety leadership styles predict different employees’ change-oriented discretionary communications about safety (i.e., safety voice) after controlling for proactive personality disposition to improve organizational sustainability. Building upon a multidimensional model of safety voice, which attempts to conceptualize different ways in which employees make suggestions about safety procedures, we developed four realistic scenarios in which we manipulated the supervisor’s safety leadership style, including: (1) transformational safety leadership, (2) transactional safety leadership, (3) passive safety leadership, and (4) control group (i.e., no leadership at all). We randomly assigned 103 participants to two of four scenarios and measured four facets of safety voice and proactive personality dispositions. The findings showed that after controlling for the respondents’ proactive personality, transformative safety leadership predicted promotive safety voice, transactional safety leadership predicted preventive safety voice, and passive safety leadership predicted hostile safety voice. These findings have a number of implications for our understanding of safety leadership and employees’ safety communications.
Correction: The Effect of UV-C Stimulation of Potato Tubers and Soaking of Potato Strips in Water on Color and Analyzed Color by CIE L*a*b* Sustainability 2020, 12, 3487
Authors: Sobol Zygmunt , Jakubowski Tomasz , Nawara Piotr
Published: September 2020

Given that the expressions of concern in this paper [...]
A Scientometric Review of System Dynamics Applications in Construction Management Research
Authors: Wu Zezhou , Yang Kaijie , Lai Xiaofan , Antwi-Afari Maxwell Fordjour
Published: September 2020

Construction management can be regarded as a complex and dynamic system. In recent years, system dynamics (SD) has been widely applied to solve the complex and dynamic problems in the construction management. However, there is a lack of a scientometric analysis to investigate SD applications in construction management from an objective perspective. To fill out this research gap, this study retrieved a total of 222 relevant articles from the Scopus database. Then, VOSviewer was employed to analyze the collected literature from five aspects (i.e., co-authorship, published journals, co-occurring keywords, article citations, and regions). Based on the analysis results, four mainstream research themes were identified and discussed, including “risk management”, “waste management”, “energy management”, and “construction productivity”. In addition, future research directions, such as “construction risk allocation in PPP projects”, “evaluating the economic feasibility of construction waste landfilling centers”, “identifying the variables affecting lighting infrastructure energy consumption”, and “assessing construction productivity for technology-intensive activities”, were proposed. The contribution of this study lies in that it helps both scholars and practitioners to solve the complex and dynamic problems in construction management.
Environmental Education to Change the Consumption Model and Curb Climate Change
Authors: Velasco-Martínez Leticia-Concepción , Martín-Jaime Juan-Jesús , Estrada-Vidal Ligia-Isabel , Tójar-Hurtado Juan-Carlos
Published: September 2020

Environmental education plays a fundamental role in the fight against climate change and the transformation towards a more sustainable and environmentally friendly socio-economic model. This study shows how to evaluate the effectiveness of a program for compulsory education students in Spain. The subject of the program focused on the effects of climate change in relation to our consumption model and the generation of waste. A mixed research methodology is proposed that combines a quantitative (10 items on the Likert scale, n = 714) and qualitative approach (category construction and analysis on open-ended questions). A study of the reliability and validity of the measure was carried out through a categorical principal component analysis (CATPCA). The multivariate analysis of variance (MANOVA) correlates the gender and educational level of the students to the learning acquired in the program. For example, the results show how students are convinced that adopting minimal pro-environmental habits (turning off lights and unplugging electronics, choosing public transport to get around, or using solar and wind power to produce electricity) can help mitigate climate change. The conclusions show the difficulties and challenges of education for responsible consumption, emphasizing the development of environmental education programs for reducing the effects of climate change.
E-Procurement Adoption: A Case Study about the Role of Two Italian Advisory Services
Authors: Belisari Sara , Binci Daniele , Appolloni Andrea
Published: September 2020

This paper aims to analyze e-procurement adoption projects with specific focus on the Italian market. E-procurement adoption is critical for organizations, both for its internal efficiency and for the deep impact on sustainability issues. E-procurement adoption, however, is a complex journey as its implementation deals with various obstacles and the adoption costs can limit the overall organizational performance. Advisory services can support organizations in reaching the overall benefits of the e-procurement solution also by reducing the setbacks related to low technology literacy of end-users. Accordingly, we analyze adoption of e-procurement, its main variables and outputs, by focusing on a comparative case study based on an exploratory-inductive investigation of two Italian leading providers. The data have been collected through primary (semistructured interviews) and secondary (companies’ internal documents and companies’ websites) sources. Results highlight that when firms decide to adopt e-procurement, advisory services have an enabling role that can support them into implementation, and particularly for overcoming barriers and helping them to achieve the expected benefits.
Digitalization and the Decoupling Debate: Can ICT Help to Reduce Environmental Impacts While the Economy Keeps Growing?
Authors: Santarius Tilman , Pohl Johanna , Lange Steffen
Published: September 2020

Digitalization can increase resource and energy productivities. However, the production and usage of information and communication technologies (ICTs) require materials and energy, and the application of ICTs fosters economic growth. This paper examines whether digitalization helps or hinders an absolute decoupling of environmental throughput from economic growth. The paper combines the literature on “green IT” and “ICT for green” with studies on decoupling, i.e., the relationship between economic growth, technological change, and environmental throughput. The paper identifies several strains of the decoupling debate and connects them to the environmental implications of digitalization. We focus on the relation between digitalization and (1) the question of finite non-renewable energies, (2) the environmental Kuznets curve, (3) the role of energy consumption for economic growth, (4) efficiency improvements vis-à-vis rebound effects, and (5) the role of general purpose technologies for resource and energy demand. We find that the empirical basis regarding digitalization’s relation to these four aspects is still weak and hence, further research is needed. Comparing the mitigating and the aggravating impacts of digitalization, we conclude that a more active political and societal shaping of the process of digitalization is needed to make ICT work for global environmental sustainability.
Formalizing Objectives and Criteria for Urban Agriculture Sustainability with a Participatory Approach
Authors: Clerino Paola , Fargue-Lelièvre Agnès
Published: September 2020

The last few years have seen an exponential development of urban agriculture projects within global North countries, especially professional intra-urban farms which are professional forms of agriculture located within densely settled areas of city. Such projects aim to cope with the challenge of sustainable urban development and today the sustainability of the projects is questioned. To date, no set of criteria has been designed to specifically assess the environmental, social and economic sustainability of these farms at the farm scale. Our study aims to identify sustainability objectives and criteria applicable to professional intra-urban farms. It relies on a participatory approach involving various stakeholders of the French urban agriculture sector comprising an initial focus group, online surveys and interviews. We obtained a set of six objectives related to environmental impacts, link to the city, economic and ethical meaning, food and environmental education, consumer/producer connection and socio-territorial services. In addition, 21 criteria split between agro-environmental, socio-territorial and economic dimensions were identified to reach these objectives. Overall, agro-environmental and socio-territorial criteria were assessed as more important than economic criteria, whereas food production was not mentioned. Differences were identified between urban farmers and decision makers, highlighting that decision makers were more focused on projects’ external sustainability. They also pay attention to the urban farmer agricultural background, suggesting that they rely on urban farmers to ensure the internal sustainability of the farm. Based on our results, indicators could be designed to measure the sustainability criteria identified, and to allow the sustainability assessment of intra-urban farms.
Effect of Rashba Impurities on Surface State of a Topological Kondo Insulator
Authors: Goswami Partha
Published: September 2020

In this communication, we report surface state, with Rashba impurities, of a generic topological Kondo insulator (TKI) system by performing a mean-field theoretic (MFT) calculation within the framework of slave-boson protocol. The surface metallicity together with bulk insulation is found to require very strong f-electron localization. The possibility of intra-band as well as inter-band unconventional plasmons exists for the surface state spectrum. The paramountcy of the bulk metallicity, and, in the presence of the Rashba impurities, the TKI surface comprising of ‘helical liquids’ are the important outcomes of the present communication. The access to the gapless Dirac spectrum leads to spin-plasmons with the usual wave vector dependence q1/2. The Rashba coupling does not impair the Kondo screening and does not affect the quantum critical point (QCP) for the bulk.
A Novel Entropy-Fuzzy PIPRECIA-DEA Model for Safety Evaluation of Railway Traffic
Authors: Blagojević Aleksandar , Stević Željko , Marinković Dragan , Kasalica Sandra , Rajilić Snježana
Published: September 2020

The conditions of globalization often dictate the functioning of transport markets, so it is necessary to conduct frequent research in order to achieve sustainable business. This is achieved through adequate risk and safety management at all levels. The research carried out in this paper includes determining the state of railway traffic safety in a total of nine railway sections in Bosnia and Herzegovina (B&H). The aim of this paper is to develop a new integrated Entropy-Fuzzy PIPRECIA (PIvot Pairwise RElative Criteria Importance Assessment)-DEA (Data Envelopment Analysis) model for determining the state of safety in B&H under particular conditions of uncertainty. Additionally, the aim is to combine the advantages of linear programming (DEA), an objective method (Entropy), and a subjective method (Fuzzy PIPRECIA). In this way, an integrated objective–subjective model is created that provides accurate and balanced decision-making through their integration. Eleven sustainable criteria were defined and divided into six inputs and five outputs. The Entropy model was used to determine the weight values of the inputs, while due to the nature of the outputs, Fuzzy PIPRECIA was used to evaluate them. After the application of the two methods, the way of averaging their values was defined. The DEA model, which implies an input- and output-oriented model, was applied to determine which railway sections have satisfactory performance in terms of safety. Two sections were eliminated from further computation due to extremely poor performance and high risk. Then, the weighted overall efficiency ranking method was applied to determine the final ranking of the railway sections. The results obtained were verified through a sensitivity analysis, which involved changing the impact of the five most significant criteria and a comparison with two Multi-Criteria Decision-Making (MCDM) methods.
On the Loss of Learning Capability Inside an Arrangement of Neural Networks: The Bottleneck Effect in Black-Holes
Authors: Arraut Ivan , Diaz Diana
Published: September 2020

We analyze the loss of information and the loss of learning capability inside an arrangement of neural networks. Our method is based on the formulation of the Bogoliubov transformations in order to connect the information between different points of the arrangement. Similar methods translated to the physics of black-holes, reproduce the Hawking radiation effect. From this perspective we can conclude that the black-holes are objects reproducing naturally the bottleneck effect, which is fundamental in neural networks in order to perceive the useful information, eliminating in this way the noise.
Asymmetric Behavior in Ptyodactylus guttatus: Can a Digit Ratio Reflect Brain Laterality?
Authors: Sion Guy , Tal Rahav , Meiri Shai
Published: September 2020

The digit ratio, an indicator of brain laterality, is the ratio of the second and fourth digits on the left (L24) or right foot (R24). Much of the research on the digit ratio and brain laterality focuses on primates, rather than other species such as reptiles. We tested whether the digit ratio in the gecko Ptyodactylus guttatus was associated with behaviors attributed to brain laterality. We examined risk-taking behavior (time spent under cover), foot preference (which foot was the first to start moving) and the side from which geckos bypassed an obstacle, in relation to the digit ratio. Geckos with longer fourth digits on their left hind foot (higher digit ratio) spent more time under cover. Geckos starting to move with their left leg were much more likely to bypass obstacles from the right side, and vice versa. This is the first evidence of laterality being associated with the digit ratio in reptiles. Comparisons among vertebrates are needed in order to decipher the evolutionary origin of the commonalities and peculiarities of brain asymmetry and disentangle the patterns and drivers of our evolutionary tree.
360-Degree Video Streaming: A Survey of the State of the Art
Authors: Shafi Rabia , Shuai Wan , Younus Muhammad Usman
Published: September 2020

360-degree video streaming is expected to grow as the next disruptive innovation due to the ultra-high network bandwidth (60–100 Mbps for 6k streaming), ultra-high storage capacity, and ultra-high computation requirements. Video consumers are more interested in the immersive experience instead of conventional broadband televisions. The visible area (known as user’s viewport) of the video is displayed through Head-Mounted Display (HMD) with a very high frame rate and high resolution. Delivering the whole 360-degree frames in ultra-high-resolution to the end-user significantly adds pressure to the service providers’ overall intention. This paper surveys 360-degree video streaming by focusing on different paradigms from capturing to display. It overviews different projections, compression, and streaming techniques that either incorporate the visual features or spherical characteristics of 360-degree video. Next, the latest ongoing standardization efforts for enhanced degree-of-freedom immersive experience are presented. Furthermore, several 360-degree audio technologies and a wide range of immersive applications are consequently deliberated. Finally, some significant research challenges and implications in the immersive multimedia environment are presented and explained in detail.
A Novel Family of Efficient Weighted-Newton Multiple Root Iterations
Authors: Kumar Deepak , Sharma Janak Raj , Jăntschi Lorentz
Published: September 2020

We propose a novel family of seventh-order iterative methods for computing multiple zeros of a nonlinear function. The algorithm consists of three steps, of which the first two are the steps of recently developed Liu–Zhou fourth-order method, whereas the third step is based on a Newton-like step. The efficiency index of the proposed scheme is 1.627, which is better than the efficiency index 1.587 of the basic Liu–Zhou fourth-order method. In this sense, the proposed iteration is the modification over the Liu–Zhou iteration. Theoretical results are fully studied including the main theorem of local convergence analysis. Moreover, convergence domains are also assessed using the graphical tool, namely, basins of attraction which are symmetrical through the fractal like boundaries. Accuracy and computational efficiency are demonstrated by implementing the algorithms on different numerical problems. Comparison of numerical experiments shows that the new methods have an edge over the existing methods.
Erratum: Liu, W.; Ban, J.; Feng, L.; Cheng, T.; Emmert-Streib, F.; Dehmer, M. The Maximum Hosoya Index of Unicyclic Graphs with Diameter at Most Four. Symmetry 2019, 11, 1034
Authors: Liu Weijun , Ban Jingwen , Feng Lihua , Cheng Tao , Emmert-Streib Frank , Dehmer Matthias
Published: September 2020

The authors wish to make the following corrections to their paper [...]
Diversity of the Genomes and Neurotoxins of Strains of Clostridium botulinum Group I and Clostridium sporogenes Associated with Foodborne, Infant and Wound Botulism
Authors: Brunt Jason , van Vliet Arnoud H. M. , Carter Andrew T. , Stringer Sandra C. , Amar Corinne , Grant Kathie A. , Godbole Gauri , Peck Michael W.
Published: September 2020

Clostridium botulinum Group I and Clostridium sporogenes are closely related bacteria responsible for foodborne, infant and wound botulism. A comparative genomic study with 556 highly diverse strains of C. botulinum Group I and C. sporogenes (including 417 newly sequenced strains) has been carried out to characterise the genetic diversity and spread of these bacteria and their neurotoxin genes. Core genome single-nucleotide polymorphism (SNP) analysis revealed two major lineages; C. botulinum Group I (most strains possessed botulinum neurotoxin gene(s) of types A, B and/or F) and C. sporogenes (some strains possessed a type B botulinum neurotoxin gene). Both lineages contained strains responsible for foodborne, infant and wound botulism. A new C. sporogenes cluster was identified that included five strains with a gene encoding botulinum neurotoxin sub-type B1. There was significant evidence of horizontal transfer of botulinum neurotoxin genes between distantly related bacteria. Population structure/diversity have been characterised, and novel associations discovered between whole genome lineage, botulinum neurotoxin sub-type variant, epidemiological links to foodborne, infant and wound botulism, and geographic origin. The impact of genomic and physiological variability on the botulism risk has been assessed. The genome sequences are a valuable resource for future research (e.g., pathogen biology, evolution of C. botulinum and its neurotoxin genes, improved pathogen detection and discrimination), and support enhanced risk assessments and the prevention of botulism.
Acetamiprid Affects Destruxins Production but Its Accumulation in Metarhizium sp. Spores Increases Infection Ability of Fungi
Authors: Nowak Monika , Bernat Przemysław , Mrozińska Julia , Różalska Sylwia
Published: September 2020

Metarhizium sp. are entomopathogenic fungi that inhabit the soil environment. Together, they act as natural pest control factors. In the natural environment, they come into contact with various anthropogenic pollutants, and sometimes, they are used together and interchangeably with chemical insecticides (e.g., neonicotinoids) for pest control. In most cases, the compatibility of entomopathogens with insecticides has been determined; however, the influence of these compounds on the metabolism of entomopathogenic fungi has not yet been studied. Secondary metabolites are very important factors that influence the fitness of the producers, playing important roles in the ability of these pathogens to successfully parasitize insects. In this study, for the first time, we focus on whether the insecticide present in the fungal growth environment affects secondary metabolism in fungi. The research revealed that acetamiprid at concentrations from 5 to 50 mg L−1 did not inhibit the growth of all tested Metarhizium sp.; however, it reduced the level of 19 produced destruxins in direct proportion to the dosage used. Furthermore, it was shown that acetamiprid accumulates not only in plant or animal tissues, but also in fungal cells. Despite the negative impact of acetamiprid on secondary metabolism, it was proofed to accumulate in Metarhizium spores, which appeared to have a stronger infectious potential against mealworm Tenebrio molitor, in comparison to the insecticide or the biological agent alone.
Antinociceptive Activity of the Skin Secretion of Phyllomedusa rohdei (Amphibia, Anura)
Authors: Malpezzi-Marinho Elena Lucia Anna , Zanoni Cristiane Isabel Silva , Molska Graziella Rigueira , Paraventi Camila , Wuo-Silva Raphael , Berro Laís Fernanda , Parada Carlos Amilcar , Tamura Eduardo Koji , Marinho Eduardo Ary Villela
Published: September 2020

Pain is a distressful experience that can have a major impact on an individual’s quality of life. The need for new and better analgesics has been further intensified in light of the current opioid epidemic. Substances obtained from amphibians have been shown to contain bioactive peptides that exert analgesic effects. The genus Phyllomedusa represents an important source of peptides and bioactive components. The aim of this study was to investigate the antinociceptive effects of the skin secretion of Phyllomedusa rohdei in rodent models of pain. The crude skin extract of P. rohdei was tested in different pain models: acetic acid-induced writhing test (mice), formalin test (rats), Von Frey electronic test for hypernociception induced by PGE2 (rats), and hot plate test (mice). Motor-impairing effects were tested using the rota-rod test. The results showed that the skin extract of P. rohdei exerted antinociceptive effects in all pain models tested. Particularly, the highest dose tested of the skin extract decreased acetic acid-induced writhing by 93%, completely blocked formalin-induced nociception both during the acute and inflammatory phases of the test, PGE2-induced hypernociception by 73% and increased latency to paw withdrawal in the hot plate test by 300%. The effects observed in the hot plate test were reversed by pretreatment with selective µ and κ, but not δ, opioid receptor antagonists, indicating a mechanism of action dependent on µ and κ opioid receptors. The results were not influenced by sedative effects. Further studies remain necessary to reveal the specific compounds involved in the antinociceptive effects of P. rohdei skin extract as a new therapeutic tool in pain management.
Adjuvantation of an Influenza Hemagglutinin Antigen with TLR4 and NOD2 Agonists Encapsulated in Poly(D,L-Lactide-Co-Glycolide) Nanoparticles Enhances Immunogenicity and Protection against Lethal Influenza Virus Infection in Mice
Authors: Tukhvatulin Amir , Dzharullaeva Alina , Erokhova Alina , Zemskaya Anastasia , Balyasin Maxim , Ozharovskaia Tatiana , Zubkova Olga , Shevlyagina Natalia , Zhukhovitsky Vladimir , Fedyakina Irina , Pruss Ivan , Shcheblyakov Dmitry , Naroditsky Boris , Logunov Denis , Gintsburg Alexander
Published: September 2020

Along with their excellent safety profiles, subunit vaccines are typically characterized by much weaker immunogenicity and protection efficacy compared to whole-pathogen vaccines. Here, we present an approach aimed at bridging this disadvantage that is based on synergistic collaboration between pattern-recognition receptors (PRRs) belonging to different families. We prepared a model subunit vaccine formulation using an influenza hemagglutinin antigen incorporated into poly-(D,L-lactic-co-glycolic acid) (PLGA) nanoparticles adjuvanted with monophosphoryl lipid A (TLR4 agonist) and muramyl dipeptide (NOD2 agonist). The efficacy studies were conducted in comparison to control vaccine formulations containing individual PRR agonists. We show that the complex adjuvant based on TLR4 and NOD2 agonists potentiates proinflammatory cell responses (measured by activity of transcription factors and cytokine production both in vitro and in vivo) and enhances the phagocytosis of vaccine particles up to comparable levels of influenza virus uptake. Finally, mice immunized with vaccine nanoparticles containing both PRR agonists exhibited enhanced humoral (IgG, hemagglutination-inhibition antibody titers) and cellular (percentage of proliferating CD4+ T-cells, production of IFNɣ) immunity, leading to increased resistance to lethal influenza challenge. These results support the idea that complex adjuvants stimulating different PRRs may present a better alternative to individual PAMP-based adjuvants and could further narrow the gap between the efficacy of subunit versus whole-pathogen vaccines.
Hydrothermal Processing of Clarias gariepinus (Burchell, 1822) Filets: Insights on the Nutritive Value and Organoleptic Parameters
Authors: Okomoda Victor , Tiamiyu Lateef , Ricketts Amighty , Oladimeji Sunday , Agbara Austine , Ikhwanuddin Mhd , Alabi Korede , Abol-Munafi Ambok
Published: September 2020

This study evaluated the effects of cooking for different hydrothermal-treatment durations (10, 20, 30 and 40 min) on the proximate composition, amino acid profile, fatty acid composition and organoleptic parameters of filets of African catfish Clarias gariepinus (Burchell, 1822). Filets of the fish were prepared from market size African catfish with similar breeding history. Parameters of the processed filet under the different hydrothermal durations were also compared against a raw–unprocessed control group except during organoleptic analysis. The results obtained revealed a significant increase in protein, fat and ash content until the 30th minute of hydrothermal processing (p ≤ 0.05). Beyond this processing time, protein and fat significantly reduced while ash remains unaffected. The same trend was observed for most essential/non-essential amino acids isolated as well as the prominent saturated fatty acids, monounsaturated fatty acids and polyunsaturated fatty acids. In all, the raw control group consistently recorded the least values of nutritional components. The perception of assessors was, however, found to be similar (p ≥ 0.05) in terms of organoleptic parameters regardless of the duration of the processing time of the filets. It was concluded that cooking the African catfish filet using the hydrothermal method should not be extended beyond 30 min.
Estimating Nitrogen and Phosphorus Cycles in a Timber Reef Deployment Area
Authors: Alam Jamaluddin Fitrah , Yamamoto Tamiji , Umino Tetsuya , Nakahara Shinya , Hiraoka Kiyonori
Published: September 2020

In an oligotrophic bay, Mitsu Bay, Japan, artificial timber reefs (ATRs) are deployed to increase fish production. In such man-made ecosystems, the biological activities of other organisms as well as the physical structures of ATRs could influence nutrient cycling. A pelagic–benthic coupling model expressing both phosphorus and nitrogen cycling was developed to investigate seasonal variation in the associated nutrients and their annual budget in the ATR areas and the entire bay system. The model consists of equations representing all the relevant physical and biological processes. The model reproduced the observed seasonal variations in dissolved inorganic P, ammonium, and nitrate concentrations that were low in spring and summer and high in autumn and winter. The internal regeneration rates of the nutrients were two times higher in the ATRs than in the bay area, so that fish production was predicted to be higher in the ATRs than in the bay area. Considering the inflows from the land and precipitation are quite low, nutrient regeneration is an important source of nutrients for the water in Mitsu Bay. ATR deployment could be an important local nutrient source in an oligotrophic bay, and could increase fish production.
Evaluation of the GPM-IMERG Precipitation Product for Flood Modeling in a Semi-Arid Mountainous Basin in Morocco
Authors: Saouabe Tarik , El Khalki El Mahdi , Saidi Mohamed El Mehdi , Najmi Adam , Hadri Abdessamad , Rachidi Said , Jadoud Mourad , Tramblay Yves
Published: September 2020

A new precipitation dataset is provided since 2014 by the Global Precipitation Measurement (GPM) satellite constellation measurements combined in the Integrated Multi-satellite Retrievals for GPM (IMERG) algorithm. This recent GPM-IMERG dataset provides potentially useful precipitation data for regions with a low density of rain gauges. The main objective of this study is to evaluate the accuracy of the near real-time product (IMERG-E) compared to observed rainfall and its suitability for hydrological modeling over a mountainous watershed in Morocco, the Ghdat located upstream the city of Marrakech. Several statistical indices have been computed and a hydrological model has been driven with IMERG-E rainfall to estimate its suitability to simulate floods during the period from 2011 to 2018. The following results were obtained: (1) Compared to the rain gauge data, satellite precipitation data overestimates rainfall amounts with a relative bias of +35.61% (2) In terms of the precipitation detection capability, the IMERG-E performs better at reproducing the different precipitation statistics at the catchment scale, rather than at the pixel scale (3) The flood events can be simulated with the hydrological model using both the observed and the IMERG-E satellite precipitation data with a Nash–Sutcliffe efficiency coefficient of 0.58 and 0.71, respectively. The results of this study indicate that the GPM-IMERG-E precipitation estimates can be used for flood modeling in semi-arid regions such as Morocco and provide a valuable alternative to ground-based precipitation measurements.