bluuebunny/crossref_metadata_2025 huggingface dataset:
Reliability of Body Temperature Measurements Obtained with Contactless Infrared Point Thermometers Commonly Used during the COVID-19 Pandemic
Authors: Piccinini Filippo , Martinelli Giovanni , Carbonaro Antonella
Published: May 2021

During the COVID-19 pandemic, there has been a significant increase in the use of non-contact infrared devices for screening the body temperatures of people at the entrances of hospitals, airports, train stations, churches, schools, shops, sports centres, offices, and public places in general. The strong correlation between a high body temperature and SARS-CoV-2 infection has motivated the governments of several countries to restrict access to public indoor places simply based on a person’s body temperature. Negating/allowing entrance to a public place can have a strong impact on people. For example, a cancer patient could be refused access to a cancer centre because of an incorrect high temperature measurement. On the other hand, underestimating an individual’s body temperature may allow infected patients to enter indoor public places where it is much easier for the virus to spread to other people. Accordingly, during the COVID-19 pandemic, the reliability of body temperature measurements has become fundamental. In particular, a debated issue is the reliability of remote temperature measurements, especially when these are aimed at identifying in a quick and reliable way infected subjects. Working distance, body–device angle, and light conditions and many other metrological and subjective issues significantly affect the data acquired via common contactless infrared point thermometers, making the acquisition of reliable measurements at the entrance to public places a challenging task. The main objective of this work is to sensitize the community to the typical incorrect uses of infrared point thermometers, as well as the resulting drifts in measurements of body temperature. Using several commercial contactless infrared point thermometers, we performed four different experiments to simulate common scenarios in a triage emergency room. In the first experiment, we acquired several measurements for each thermometer without measuring the working distance or angle of inclination to show that, for some instruments, the values obtained can differ by 1 °C. In the second and third experiments, we analysed the impacts of the working distance and angle of inclination of the thermometers, respectively, to prove that only a few cm/degrees can cause drifts higher than 1 °C. Finally, in the fourth experiment, we showed that the light in the environment can also cause changes in temperature up to 0.5 °C. Ultimately, in this study, we quantitatively demonstrated that the working distance, angle of inclination, and light conditions can strongly impact temperature measurements, which could invalidate the screening results.
Fuzzy-Based Microservice Resource Management Platform for Edge Computing in the Internet of Things
Authors: Li David Chunhu , Huang Chiing-Ting , Tseng Chia-Wei , Chou Li-Der
Published: May 2021

Edge computing exhibits the advantages of real-time operation, low latency, and low network cost. It has become a key technology for realizing smart Internet of Things applications. Microservices are being used by an increasing number of edge computing networks because of their sufficiently small code, reduced program complexity, and flexible deployment. However, edge computing has more limited resources than cloud computing, and thus edge computing networks have higher requirements for the overall resource scheduling of running microservices. Accordingly, the resource management of microservice applications in edge computing networks is a crucial issue. In this study, we developed and implemented a microservice resource management platform for edge computing networks. We designed a fuzzy-based microservice computing resource scaling (FMCRS) algorithm that can dynamically control the resource expansion scale of microservices. We proposed and implemented two microservice resource expansion methods based on the resource usage of edge network computing nodes. We conducted the experimental analysis in six scenarios and the experimental results proved that the designed microservice resource management platform can reduce the response time for microservice resource adjustments and dynamically expand microservices horizontally and vertically. Compared with other state-of-the-art microservice resource management methods, FMCRS can reduce sudden surges in overall network resource allocation, and thus, it is more suitable for the edge computing microservice management environment.
Development of a Basic Educational Kit for Robotic System with Deep Neural Networks
Authors: Kanamura Momomi , Suzuki Kanata , Suga Yuki , Ogata Tetsuya
Published: May 2021

In many robotics studies, deep neural networks (DNNs) are being actively studied due to their good performance. However, existing robotic techniques and DNNs have not been systematically integrated, and packages for beginners are yet to be developed. In this study, we proposed a basic educational kit for robotic system development with DNNs. Our goal was to educate beginners in both robotics and machine learning, especially the use of DNNs. Initially, we required the kit to (1) be easy to understand, (2) employ experience-based learning, and (3) be applicable in many areas. To clarify the learning objectives and important parts of the basic educational kit, we analyzed the research and development (R&D) of DNNs and divided the process into three steps of data collection (DC), machine learning (ML), and task execution (TE). These steps were configured under a hierarchical system flow with the ability to be executed individually at the development stage. To evaluate the practicality of the proposed system flow, we implemented it for a physical robotic grasping system using robotics middleware. We also demonstrated that the proposed system can be effectively applied to other hardware, sensor inputs, and robot tasks.
Analytic Design of Segmented Phase Grating for Optical Sensing in High-Precision Alignment System
Authors: Yang Guanghua , Li Jing , Wang Yu , Ding Minxia , Zhong Lina
Published: May 2021

Ultra-precision measurement systems are important for semiconductor manufacturing processes. In a phase grating sensing alignment (PGA) system, the measurement accuracy largely depends on the intensity of the diffraction signal and its signal-to-noise ratio (SNR), both of which are associated with the grating structure. Although an equally segmented grating structure could increase the signal of a high odd order, it could also strengthen the signals at the zeroth and even orders which are the main contributors of stray light. This paper focuses on the practical problem of differently responding diffraction orders but in one grating structure. An analytical relationship has been established between the diffraction efficiency and the segment structure of phase grating. According to this analytic model, we then propose a design method to increase the diffraction signal at high odd orders and, meanwhile, to decrease it at the zeroth and even orders. The proposed method provides a fast and effective way to obtain the globally optimal grating structure in the valid scope. Furthermore, the design examples are also verified by means of numerical simulation tool–rigorous coupled-wave analysis (RCWA) software. As a result, the proposed method gives insight into the diffraction theory of segmented grating and the practical value to greatly improve the design efficiency.
A Critical Review of Standards to Examine the Parameters of Child-Friendly Environment (CFE) in Parks and Open Space of Planned Neighborhoods: A Case of Lucknow City, India
Authors: Agarwal Mohit Kumar , Sehgal Vandana , Ogra Aurobindo
Published: May 2021

The creation of cities has been one of the most phenomenal achievements of human endeavor. Adults are the major stakeholders for such achievements but the children are helpless and representationless. The current research paper aims at understanding the issues faced by the children in the rapidly urbanized world where the lack of child-friendly environments/open spaces for their outdoor activities is cause for concern. The research paper looked at various national and international norms, standards, and practices of parks and open spaces to identify various child-friendly environmental parameters. The research adopted the Delphi method as a tool for the validation of child-friendly environment parameters. It also used children’s drawings and essays to understand children’s perceptions about the child-friendly environment. It is observed that present government norms and policies do not adhere to those parameters. The research found that Lucknow city does not meet the defined quantitative norms and standards as laid out by the national norms and standards for open spaces and parks. The quality dimensions for planning a child-friendly environment are weakly addressed by cities and neighborhoods. The city neighborhoods lack the physical, cognitive, perceptional, emotional, and social dimensions of a child-friendly environment. There is a need to adopt suitable norms and standards with measurable parameters as part of various dimensions and implement these in creating a child-friendly environment in planned neighborhoods.
The Diversification of Sicilian Farms: A Way to Sustainable Rural Development
Authors: Aronica Martina , Cracolici Maria Francesca , Insolda Debora , Piacentino Davide , Tosi Salvatore
Published: May 2021

Rural areas still suffer from a lack of sustainable development, and the diversification of farms may be a step in the right direction. The paper provides a detailed picture of the diversification of Sicilian farms into tourism services. Specifically, we propose a simple indicator of localization intensity of agritourism farms and explore their spatial distribution at municipality level. Our study highlights that Sicilian farms rarely diversify into tourism services, despite being situated in attractive areas. That said, some significant spatial clusters of municipalities where agritourism farms are highly concentrated do emerge from the study.
Power Grid Integration and Use-Case Study of Acid-Base Flow Battery Technology
Authors: Muñoz-Cruzado-Alba Jesús , Musca Rossano , Ballestín-Fuertes Javier , Sanz-Osorio José F. , Rivas-Ascaso David Miguel , Jones Michael P. , Catania Angelo , Goosen Emil
Published: May 2021

There are many different types of energy storage systems (ESS) available and the functionality that they can provide is extensive. However, each of these solutions come with their own set of drawbacks. The acid-base flow battery (ABFB) technology aims to provide a route to a cheap, clean and safe ESS by means of providing a new kind of energy storage technology based on reversible dissociation of water via bipolar electrodialysis. First, the main characteristics of the ABFB technology are described briefly to highlight its main advantages and drawbacks and define the most-competitive use-case scenarios in which the technology could be applied, as well as analyze the particular characteristics which must be considered in the process of designing the power converter to be used for the interface with the electrical network. As a result, based on the use-cases defined, the ESS main specifications are going to be identified, pointing out the best power converter configuration alternatives. Finally, an application example is presented, showing an installation in the electrical network of Pantelleria (Italy) where a real pilot-scale prototype has been installed.
Novel Pervaporation Membranes Based on Biopolymer Sodium Alginate Modified by FeBTC for Isopropanol Dehydration
Authors: Kuzminova Anna , Dmitrenko Mariia , Mazur Anton , Ermakov Sergey , Penkova Anastasia
Published: May 2021

Modern society strives for the development of sustainable processes that are aimed at meeting human needs while preserving the environment. Membrane technologies satisfy all the principles of sustainability due to their advantages, such as cost-effectiveness, environmental friendliness, absence of additional reagents and ease of use compared to traditional separation methods. In the present work, novel green membranes based on sodium alginate (SA) modified by a FeBTC metal–organic framework were developed for isopropanol dehydration using a membrane process, pervaporation. Two kinds of SA-FeBTC membranes were developed: (1) untreated membranes and (2) cross-linked membranes with citric acid or phosphoric acid. The structural and physicochemical properties of the developed SA-FeBTC membranes were studied by spectroscopic techniques (FTIR and NMR), microscopic methods (SEM and AFM), thermogravimetric analysis and swelling experiments. The transport properties of developed SA-FeBTC membranes were studied in the pervaporation of water–isopropanol mixtures. Based on membrane transport properties, 15 wt % FeBTC was demonstrated to be the optimal content of the modifier in the SA matrix for the membrane performance. A membrane based on SA modified by 15 wt % FeBTC and cross-linked with citric acid possessed optimal transport properties for the pervaporation of the water–isopropanol mixture (12–100 wt % water): 174–1584 g/(m2 h) permeation flux and 99.99 wt % water content in the permeate.
Challenges for Cruise Sustainable Development and Its Legal Response: The Case of China
Authors: Yu Yanan , Shao Yude
Published: May 2021

The cruise industry has become one of the fastest-growing segments of global tourism industry in recent years. Its growth has led to some concerns about its impact on the marine environment, as cruise ships cause no less pollution than regular ships. China’s cruise industry began late but has achieved fast development. However, there are still many challenges related to China’s environmental legislation, and there is no clear-cut legal framework for the environmental protection of cruise ships in the various regulations in China. The legal literature on this issue is insufficient, and this paper attempts to fill the gap. First, it provides an overview of the global cruise industry, including the basic situation of cruise pollution. Second, it briefly introduces the relevant international conventions, and Chinese laws and regulations. Third, it analyzes the recent environmental challenges that cruise ships have faced. The goal of this paper is to give a legal direction for how the cruise industry can grow in ways that are both sustainable and responsible.
Sustainable Development of Operations: Actors’ Involvement in the Process of Energy Efficiency Improvements
Authors: Taghavi Naghmeh
Published: May 2021

This study empirically investigates the involvement of actors in the process of energy-efficiency improvements in operations to align strategic sustainability goals across and within operations. The study analyzes development efforts stemming from actors’ decisions and actions that contribute to the process of energy efficiency improvements using semi-structured interviews and secondary information. Data is analyzed using thematic coding. The study deepens the understanding of how firms undertake the transition towards integrating strategic goals for energy efficiency into operations by strategizing for energy efficiency improvements through actors’ involvement. By exploring actors at both strategic and operational levels, and their decisions and actions, the study includes examples of different approaches, namely, top-down vs. bottom-up and inside-out vs. outside-in, thereby conceptualizing the process of energy-efficiency improvements in terms of a framework that outlines the entities of this process. The study further provides an integrative framework for the development efforts by different actors and presents propositions for incorporating energy-efficiency improvements in daily strategic and operational decisions and actions instead of regarding it as a separate or an add-on process.
Environmental Design Features for Large-Scale Nature-Based Solutions: Development of a Framework That Incorporates Landscape Dynamics into the Design of Nature-Based Solutions
Authors: Wu Bo-Syuan , Ruangpan Laddaporn , Sanchez Arlex , Rasmussen Marzenna , Rene Eldon R. , Vojinovic Zoran
Published: May 2021

Large-scale nature-based solutions (NBS) contribute to the change in large-scale landscapes and ecosystems for which continuous monitoring activities would be necessary to reflect the constantly changing environment. To fill the existing gap in the design-making process of implementing NBS, a framework that incorporates the landscape dynamics into the design of NBS is expedient and beneficial. This research addresses the above knowledge gap and presents a practically applicable framework for large-scale NBS that incorporates landscape dynamics into the design of NBS. To amplify the power of stakeholders’ involvement and evidence-based knowledge (i.e., field experiences and literature reports), the framework developed in this study was evaluated on a case-study site in Odense area, Denmark, within the EU-funded RECONECT project. Furthermore, this study also addresses the relationship between landscape dynamics and biodiversity by performing a detailed literature review. The results obtained from this work demonstrate that the framework developed can be applied to existing large-scale NBS and it has the potential to recommend guidelines during the planning and design step of large-scale NBS.
Rapid Adaptation and Remote Delivery of Undergraduate Research Training during the COVID-19 Pandemic
Authors: Yang Yowler Joanna , Knier Kit , WareJoncas Zachary , Ehlers Shawna L. , Ekker Stephen C. , Guasp Reyes Fabiola , Horazdovsky Bruce F. , Mueller Glenda , Morales Gomez Adriana , Sood Amit , Sussman Caroline R. , Scholl Linda M. , Weavers Karen M. , Pierret Chris
Published: May 2021

When COVID-19 caused worldwide cancellations of summer research immersion programs in 2020, Mayo Clinic rallied to create an alternate virtual experience called Summer Foundations in Research (SFIR). SFIR was designed not only to ensure the continuance of science pathways training for undergraduate scientists but also to support undergraduate mental wellbeing, given the known pandemic stressors. A total of 170 participants took part in the program and were surveyed pre-post for outcomes in biomedical research career knowledge, biomedical research career interest, research skills confidence, and three dimensions of mental wellbeing. Knowledge of and interest in careers involving biomedical research rose significantly following participation in SFIR. The participants’ mean research skills confidence also rose between 0.08 and 1.32 points on a 7-point scale across 12 items from the Clinical Research Appraisal Inventory. Success in science pathways support was accompanied by positive shifts in participant mental wellbeing. Measurable decreases in stress (Perceived Stress Scale, p < 0.0001) accompanied gains in resilience (Brief Resilience Scale, p < 0.0001) and life satisfaction (Satisfaction with Life Scale, p = 0.0005). Collectively, the data suggest that core objectives of traditional in-person summer research programming can be accomplished virtually and that these programs can simultaneously impact student wellbeing. This theoretical framework is particularly salient during COVID-19, but the increased accessibility of virtual programs such as SFIR can continue to bolster science education pathways long after the pandemic is gone.
Agricultural Support Policies and China’s Cyclical Evolutionary Path of Agricultural Economic Growth
Authors: Guo Xiangdong , Lung Pei , Sui Jianli , Zhang Ruiping , Wang Chao
Published: May 2021

Due to the weak nature of agricultural production, governments usually adopt supportive policies to protect food security. To discern the growth of agriculture from 2001 to 2018 under China’s agricultural support policies, we use the nonlinear MS(M)-AR(p) model to distinguish China’s agricultural economic cycle into three growth regimes—rapid, medium, and low—and analyze the probability of shifts and maintenance among the different regimes. We further calculated the average duration of each regime. Moreover, we calculated the growth regime transfers for specific times. In this study, we find that China’s agricultural economy has maintained a relatively consistent growth trend with the support of China’s proactive agricultural policies. However, China’s agricultural economy tends to maintain a low-growth status in the long-term. Finally, we make policy recommendations for agricultural development based on our findings that continue existing agricultural policies and strengthen support for agriculture, forestry, and animal husbandry.
Enacting Transitions—The Combined Effect of Multiple Niches in Whole System Reconfiguration
Authors: Bui Sibylle
Published: May 2021

The environmental and social issues caused by agricultural and food distribution practices call for a profound reconfiguration of the agri-food system. This paper is aimed at contributing to a better understanding of the way such a reconfiguration may be fostered. Building on recent developments of transition studies that analyze whole system reconfigurations, it proposes a pragmatist, whole system approach to examine the socio-political dimension of sustainability transitions. Based on the ethnographic and longitudinal study of a unique case of (territorial) agroecological transition in France, it identifies the mechanisms involved in a transition and the way actors enacted them. It characterizes required prior, incremental system changes, and stresses the role of multiple niches that influence simultaneously the various components of the agri-food system. From an action-oriented perspective, these results suggest that transitions may be fostered by: (1) supporting the diffusion of an alternative technological paradigm within the regime that niches may be congruent with; (2) stimulating the development of a diversity of radical innovations related to the various dimensions of the agri-food system and fostering their interactions with the regime; and (3) moving from a technology-driven approach of innovation towards an emphasis on organizational innovations that foster the rebalancing of power relations.
How Consumer Environmental Responsibility Affects the Purchasing Intention of Design Furniture Products
Authors: Barbaritano Marica , Savelli Elisabetta
Published: May 2021

Consumer environmental responsibility has been commonly considered as an antecedent to green consumption intention and eco-design purchases. However, little research has investigated how environmental concern affects the relationship between design attributes and purchasing intention, especially in the furniture setting, where companies are often involved in design-intensive processes and environmental problems. This study investigates (i) how consumers perceive the different dimensions of design and which attributes most affect their purchasing intention of furniture items; and (ii) the role of consumers’ environmental responsibility on the relationship between design attributes and purchasing intention. An online questionnaire survey was employed to collect data from 350 Italian consumers. The findings reveal that design can be intended as a three-dimensional construct, based on functional, aesthetic, and symbolic attributes. While functional and aesthetic features can be considered as relevant factors affecting the consumers’ perception of design, the purchasing intention is mainly influenced by the symbolic dimension of design. Moreover, environmental concern moderates the relationship between the symbolic dimension of design and purchasing intention, that is, when consumers are highly concerned about environmental issues, they tend to be more influenced by the symbolic dimension of design. Several theoretical and practical implications are discussed.
Economic Development Policies and Land Use Changes in Thailand: From the Eastern Seaboard to the Eastern Economic Corridor
Authors: Tontisirin Nij , Anantsuksomsri Sutee
Published: May 2021

The Thai government’s project called “Eastern Economic Corridor (EEC)” was announced in 2016 to stimulate economic development and help the country escape from the middle-income trap. The project provides investment incentives for the private sector and the infrastructure development of land, rail, water, and air transportation. The EEC project encompasses three provinces in the eastern region of Thailand because of their strategic locations near deep seaports and natural resources in the Gulf of Thailand. Clearly, this policy will lead to dramatic changes in land uses and the livelihoods of the people in these three provinces. However, the extent to which land use changes will occur because of this project remains unclear. This study aims to analyze land use changes in the eastern region of Thailand using a Cellular Automata–Markov model. The results show that land uses of the coastal areas have become more urbanized than inland areas, which are primarily agricultural lands. The predicted land uses suggest shrinking agricultural lands of paddy fields, field crops, and horticulture lands but expanding perennial lands. These changes in land uses highlight challenges in urban administration and management as well as threats to Thailand’s agricultural cultures in the future.
Designing a Multi-Stage Transport System Serving e-Commerce Activity
Authors: Burinskienė Aurelija
Published: May 2021

In this paper, the author designs an e-commerce transport system, which covers the locations of producers’ facilities, distribution warehouses, and the business customers and deliveries among them. The study aims to identify the best locations for warehouses to increase efficiency in multi-stage transport systems. To reach this goal, the author revises distance metrics and suggests a methodological framework useful for warehouse location selection and practical applications. The empirical research is delivered by selecting a warehouse location using the maximal coverage model and mandatory closeness distance condition. After analyzing four warehouses’ alternatives, results are presented by applying various distance metrics. The results show that the selection of the location of the main warehouse depends on the level of returns that are defined by using the Mersenne Twister algorithm, and the distance calculation metrics representing differences in ranking. By the end of the study, the recommendation is given to apply the presented methodological approach for decision-makers seeking to improve service distances where decisions are made using path-based service distance criteria. The increase of efficiency is important from a policy development perspective, as findings of the study could help to reduce transport delivery costs for customers.
Oriental Marco Polo Plaza Encounter: Choreographing Place and Placelessness from a Phenomenological Perspective
Authors: Gao Huihui , Zhou Shangyi
Published: May 2021

The notion of place has raised great concern within weaving tourism studies in recent decades. Nevertheless, dialectical indigenous considerations of Edward Relph’s phenomenological concepts of place and placelessness are still insufficient, particularly in non-Western countries. Phenomenology, as an immersive approach, provides an open and descriptive examination of the diverse perceptions and constitutive meanings of a place. From a phenomenological perspective, this article aims to explore the dynamic grasping of place and placelessness in tourism experiences. Twenty-four tourists participated in the research in Marco Polo Plaza in Italian Style Town, a concession for a particular historical period, in Tianjin, China. The findings suggest that tourists’ experiences could be ordered into three themes: (1) encountering a place labelled recreation and entertainment, (2) encountering an exotic heterogeneous place, and (3) encountering a lived place in the lifeworld. These results emphasize that place and placelessness are intertwined paradoxically beyond the binary, and such a nonlinear, dialectical, and subtle dimension is the possible inspiration that the phenomenological perspective brings to tourism research. Drawing on the inevitability of tourists’ diverse perceptions, we advance that an open multi-sensuous engagement and inclusive geographic practices offer an insight into the understanding of sustainability.
Citizen Scientist: Farm 2 Facts Supporting Farmers Markets
Authors: Ledesma Edna , He Arden , Warsaw Phillip , Suerth Lauren , Morales Alfonso , Rosenblum Leah , Wiedenfeld Brian
Published: May 2021

As multifunctional loci of local food economies and public activity, farmers markets impart diverse impacts on their surrounding communities. In response to the emerging scholarship on farmers markets, as well as the desires of market managers to buttress their decision-making with cogent data analysis, the Farm 2 Facts data collection toolkit was created by the University of Wisconsin-Madison to measure the economic, social, and ecological impacts of farmers markets. We document here the history of Farm 2 Facts. Through case studies of F2F members, we describe the ways in which individual markets, market organizations, and local governments use farmers markets as a means of achieving differing goals, as well as how Farm 2 Facts necessarily adapted to measure and support these goals. We argue that Farm 2 Facts is in a tight reciprocal relationship with market managers who become citizen scientists in order to support their managerial role and communicate the benefits of their markets. Given that market policy change is often the impetus for collecting data, empathy for the goals of market managers is inseparable from Farm 2 Facts. We find that a sensitivity to the dynamic needs of markets, an adaptive toolkit, and incorporating ongoing research into the toolkit are essential to supporting farmers market managers in their many duties.
Sustainability and Development: From Agrarian Development to the Paradigm of Sustainability
Authors: Entrena-Durán Francisco , Muñoz-Sánchez Víctor-Manuel , Pérez-Flores Antonio-Manuel
Published: May 2021

In post-industrial societies, the new ruralities represent scenarios of diffuse socio-spatial frontiers that overflow the classic rural/urban dichotomy [...]
Deep Learning Model and Correlation Analysis by User Object Layering of a Social Network Service
Authors: Jeong Taikyeong , Lee Woongjae
Published: May 2021

This paper focuses on preventing forms of social dysfunction such as invasions of privacy and stalking by understanding the diversified situation of the rapidly increasing number of social media users who use social media services, which are various types of social networking services. To prevent these problems, we aim to identify mutual relationships by layering the relationships between social media users. In other words, in social media that has a relationship with the subject, the subject user is yet another object, so the appearance of the object viewed by the subject user and the correlation between the subjects and objects must be visualized. At this time, because the subject is an object that has changed over time, it is necessary to perform symmetrical and mutual correlation analysis based on relationship through objective layering viewed from a computer. In this paper, the mutual relationship between the subject user and the object user was defined and visualized to apply it to the deep learning model through a software program. Among various types of social media that are mainly used, user information data is gathered through the popular social media site called Instagram and our target community platforms. Consequently, it was processed again to represent user interactions among other users. Finally, three stages of mutual relationship visualization were represented through simulation and tests, and 120,000 data sets were processed, classified, and proved through the simulation results.
Two Modified Single-Parameter Scaling Broyden–Fletcher–Goldfarb–Shanno Algorithms for Solving Nonlinear System of Symmetric Equations
Authors: Guo Jie , Wan Zhong
Published: May 2021

In this paper, we develop two algorithms to solve a nonlinear system of symmetric equations. The first is an algorithm based on modifying two Broyden–Fletcher–Goldfarb–Shanno (BFGS) methods. One of its advantages is that it is more suitable to effectively solve a small-scale system of nonlinear symmetric equations. In contrast, the second algorithm chooses new search directions by incorporating an approximation method of computing the gradients and their difference into the determination of search directions in the first algorithm. In essence, the second one can be viewed as an extension of the conjugate gradient method recently proposed by Lv et al. for solving unconstrained optimization problems. It was proved that these search directions are sufficiently descending for the approximate residual square of the equations, independent of the used line search rules. Global convergence of the two algorithms is established under mild assumptions. To test the algorithms, they are used to solve a number of benchmark test problems. Numerical results indicate that the developed algorithms in this paper outperform the other similar algorithms available in the literature.
Ocean Warming May Enhance Biochemical Alterations Induced by an Invasive Seaweed Exudate in the Mussel Mytilus galloprovincialis
Authors: Vieira Hugo , Rodrigues Andreia , Pires Sílvia , Oliveira Jacinta , Rocha Rui , Soares Amadeu , Bordalo Maria
Published: May 2021

Ocean warming and biological invasions are among the most pervasive factors threatening coastal ecosystems with a potential to interact. Ongoing temperature rise may affect physiological and cellular mechanisms in marine organisms. Moreover, non-indigenous species spread has been a major challenge to biodiversity and ecosystem functions and services. The invasive red seaweed Asparagopsis armata has become successfully established in Europe. Its exudate has been considered deleterious to surrounding native species, but no information exists on its effect under forecasted temperature increase. This study evaluated the combined effects of temperature rise and A. armata exudate exposure on the native mussel Mytilus galloprovincialis. Oxidative stress, neurophysiological and metabolism related biomarkers were evaluated after a 96 h-exposure to exudate (0% and 2%) under present (20 °C) and warming (24 °C) temperature scenarios. Short-term exposure to A. armata exudate affected the oxidative stress status and neurophysiology of the mussels, with a tendency to an increasing toxic action under warming. Significant oxidative damage at protein level was observed in the digestive gland and muscle of individuals exposed simultaneously to the exudate and temperature rise. Thus, under a climate change scenario, it may be expected that prolonged exposure to the combined action of both stressors may compromise M. galloprovincialis fitness and survival.
Venom and Social Behavior: The Potential of Using Spiders to Evaluate the Evolution of Sociality under High Risk
Authors: Gatchoff Laura , Stein Laura R.
Published: May 2021

Risks of sociality, including competition and conspecific aggression, are particularly pronounced in venomous invertebrates such as arachnids. Spiders show a wide range of sociality, with differing levels of cannibalism and other types of social aggression. To have the greatest chance of surviving interactions with conspecifics, spiders must learn to assess and respond to risk. One of the major ways risk assessment is studied in spiders is via venom metering, in which spiders choose how much venom to use based on prey and predator characteristics. While venom metering in response to prey acquisition and predator defense is well-studied, less is known about its use in conspecific interactions. Here we argue that due to the wide range of both sociality and venom found in spiders, they are poised to be an excellent system for testing questions regarding whether and how venom use relates to the evolution of social behavior and, in return, whether social behavior influences venom use and evolution. We focus primarily on the widow spiders, Latrodectus, as a strong model for testing these hypotheses. Given that successful responses to risk are vital for maintaining sociality, comparative analysis of spider taxa in which venom metering and sociality vary can provide valuable insights into the evolution and maintenance of social behavior under risk.
Clinical and Neurophysiological Effects of Botulinum Neurotoxin Type A in Chronic Migraine
Authors: Valente Mariarosaria , Lettieri Christian , Russo Valentina , Janes Francesco , Gigli Gian Luigi
Published: May 2021

Chronic pain syndromes present a subversion of both functional and structural nociceptive networks. We used transcranial magnetic stimulation (TMS) to evaluate changes in cortical excitability and plasticity in patients with chronic migraine (CM) treated with botulinum neurotoxin type A (BoNT/A). We enrolled 11 patients with episodic migraine (EM) and 11 affected by CM. Baseline characteristics for both groups were recorded using single- and paired-pulse TMS protocols. The same TMS protocol was repeated in CM patients after four cycles of BoNT/A completed in one year. At baseline, compared with EM patients, patients with CM had a lower threshold in both hemispheres (right hemisphere: 46% ± 7.8 vs. 52% ± 4.28, p = 0.03; left hemisphere: 52% ± 4.28 vs. 53.54% ± 6.58, p = 0.02). In EM, paired-pulse stimulation elicited a physiologically shaped response, whereas in CM, physiological intracortical inhibition (ICI) between 1 and 3 ms intervals was absent at baseline. On the contrary, increasing intracortical facilitation (ICF) was observed for all interstimulus intervals (ISIs). In CM, cortical excitability was partially reduced after BoNT/A treatment, along with a significant decrease observed in MIDAS score (from 20.7 to 9.8; p = 0.008). The lower motor threshold in CM reflects a higher cortical hyperexcitability. The lack of physiological ICI in CM could indicate sensitisation of the trigeminovascular system. Although reduced, this type of response is still observable after treatment, despite a marked clinical improvement. Our study suggests a long-term alteration of cortical plasticity due to chronic pain.
Physiological Effects of Deoxynivalenol from Naturally Contaminated Corn on Cerebral Tryptophan Metabolism, Behavioral Response, Gastrointestinal Immune Status and Health in Pigs Following a Pair-Feeding Model
Authors: Shen Yan-Bin , Weaver Alexandra C. , Kim Sung Woo
Published: May 2021

This study investigated the impact of deoxynivalenol (DON) from naturally contaminated feed on pig growth, immune status, organ health, brain serotonin (5-Hydroxytryptamine, 5-HT) and behavior. Sixteen individually housed pigs (25.57 ± 0.98 kg, age 9 weeks) were randomly allotted to two dietary treatments: without DON (CON) or with 3.8 mg/kg of DON (MT). Pigs were pair-fed to eliminate differences in feed intake (equal tryptophan (Trp) intake). Pigs fed CON received a daily ration based on the ad libitum feed consumption of their MT pair-mate. Performance was determined over 21 days and blood collected for immunological and oxidative stress parameters. Behavior was recorded for 12 h on days 0, 7, 14 and 21. After 21 days, pigs were euthanized to collect tissues for immune parameters, gut morphology and brain serotonin levels. Overall, pigs fed MT had greater weight gain compared with CON. Immunological and oxidative stress parameters were unaffected, but pigs fed MT had reduced villus height, crypt depth and villus-to-crypt ratio in the jejunum. Pigs consuming MT had reduced concentration of 5-HT and increased 5-HT turnover in the hypothalamus. Mycotoxin-fed pigs spent more time lying and sitting, and less time standing and drinking. In conclusion, consumption of DON impacted gastrointestinal tract structure, altered behavior and changed Trp metabolism through increasing 5-HT turnover in hypothalamus.
Consistency of Cubic Galileon Cosmology: Model-Independent Bounds from Background Expansion and Perturbative Analyses
Authors: Brahma Suddhasattwa , Hossain Md. Wali
Published: May 2021

We revisit the cosmological dynamics of the cubic Galileon model in light of the recently proposed model-independent analyses of the Pantheon supernova data. At the background level, it is shown to be compatible with data and preferred over standard quintessence models. Furthermore, the model is shown to be consistent with the trans-Planckian censorship conjecture (as well as other Swampland conjectures). It is shown that for the given parametrization, the model fails to satisfy the bounds on the reconstructed growth index derived from the Pantheon data set at the level of linear perturbations.
Residential Segregation and Living Conditions. An Analysis of Social Inequalities in Catalonia from Four Spatial Perspectives
Authors: Checa Joan , Nel·lo Oriol
Published: May 2021

Spatial inequalities in living conditions have traditionally been attributed to geographical location, the opposition between urban and rural settings or the size of settlements. Accordingly, the geographical literature has used these oppositions to explain not only differences in access to education, work and services but also diversity of lifestyles, beliefs and even political attitudes. In recent decades, however, urban areas have extended their scope, urbanization has become more dispersed, territories have become more interdependent and spatial hierarchies have tended to weaken. At the same time, social inequalities have become more marked, as manifested spatially by residential segregation. This article puts forward the thesis that residential segregation constitutes a considerably better explanatory factor currently for the elucidation of social inequalities and differences in living conditions in regional spaces than geographical location, the urban/rural divide or the size of settlements. A set of key indicators in the population of residents in Catalonia (level of education, socio-economic position, risk of poverty, self-perceived health and life satisfaction) are therefore analyzed from various spatial perspectives to explore this argument and evaluate each indicator’s explanatory potential. The main results seem to confirm the hypothesis that the most striking spatial inequalities are associated with residential segregation.
Berberine in Human Oncogenic Herpesvirus Infections and Their Linked Cancers
Authors: Šudomová Miroslava , Berchová-Bímová Kateřina , Marzocco Stefania , Liskova Alena , Kubatka Peter , Hassan Sherif
Published: May 2021

Human herpesviruses are known to induce a broad spectrum of diseases, ranging from common cold sores to cancer, and infections with some types of these viruses, known as human oncogenic herpesviruses (HOHVs), can cause cancer. Challenges with viral latency, recurrent infections, and drug resistance have generated the need for finding new drugs with the ability to overcome these barriers. Berberine (BBR), a naturally occurring alkaloid, is known for its multiple biological activities, including antiviral and anticancer effects. This paper comprehensively compiles all studies that have featured anti-HOHV properties of BBR along with promising preventive effects against the associated cancers. The mechanisms and pathways induced by BBR via targeting the herpesvirus life cycle and the pathogenesis of the linked malignancies are reviewed. Approaches to enhance the therapeutic efficacy of BBR and its use in clinical practice as an anti-herpesvirus drug are also discussed.
Exposure of Culicoides sonorensis to Enzootic Strains of Bluetongue Virus Demonstrates Temperature- and Virus-Specific Effects on Virogenesis
Authors: Kopanke Jennifer , Lee Justin , Stenglein Mark , Carpenter Molly , Cohnstaedt Lee W. , Wilson William C. , Mayo Christie
Published: May 2021

Bluetongue virus (BTV) is a segmented RNA virus transmitted by Culicoides midges. Climatic factors, animal movement, vector species, and viral mutation and reassortment may all play a role in the occurrence of BTV outbreaks among susceptible ruminants. We used two enzootic strains of BTV (BTV-2 and BTV-10) to explore the potential for Culicoides sonorensis, a key North American vector, to be infected with these viruses, and identify the impact of temperature variations on virogenesis during infection. While BTV-10 replicated readily in C. sonorensis following an infectious blood meal, BTV-2 was less likely to result in productive infection at biologically relevant exposure levels. Moreover, when C. sonorensis were co-exposed to both viruses, we did not detect reassortment between the two viruses, despite previous in vitro findings indicating that BTV-2 and BTV-10 are able to reassort successfully. These results highlight that numerous factors, including vector species and exposure dose, may impact the in vivo replication of varying BTV strains, and underscore the complexities of BTV ecology in North America.
The Putative Roles and Functions of Indel, Repetition and Duplication Events in Alphavirus Non-Structural Protein 3 Hypervariable Domain (nsP3 HVD) in Evolution, Viability and Re-Emergence
Authors: Abdullah Nurshariza , Ahemad Nafees , Aliazis Konstantinos , Khairat Jasmine Elanie , Lee Thong Chuan , Abdul Ahmad Siti Aisyah , Adnan Nur Amelia Azreen , Macha Nur Omar , Hassan Sharifah Syed
Published: May 2021

Alphavirus non-structural proteins 1–4 (nsP1, nsP2, nsP3, and nsP4) are known to be crucial for alphavirus RNA replication and translation. To date, nsP3 has been demonstrated to mediate many virus–host protein–protein interactions in several fundamental alphavirus mechanisms, particularly during the early stages of replication. However, the molecular pathways and proteins networks underlying these mechanisms remain poorly described. This is due to the low genetic sequence homology of the nsP3 protein among the alphavirus species, especially at its 3′ C-terminal domain, the hypervariable domain (HVD). Moreover, the nsP3 HVD is almost or completely intrinsically disordered and has a poor ability to form secondary structures. Evolution in the nsP3 HVD region allows the alphavirus to adapt to vertebrate and insect hosts. This review focuses on the putative roles and functions of indel, repetition, and duplication events that have occurred in the alphavirus nsP3 HVD, including characterization of the differences and their implications for specificity in the context of virus–host interactions in fundamental alphavirus mechanisms, which have thus directly facilitated the evolution, adaptation, viability, and re-emergence of these viruses.