bluuebunny/crossref_metadata_2025 huggingface dataset:
Strain Characterization of Streptococcus suis Serotypes 28 and 31, Which Harbor the Resistance Genes optrA and ant(6)-Ia
Authors: Wang Shujie , Zhang Defu , Jiang Chenggang , He Haijuan , Cui Chenchen , Duan Weitong , Hu Shouping , Wang Jun , Cai Xuehui
Published: February 2021

Streptococcus suis causes disease in pigs and is implicated increasingly in human disease worldwide. Although most clinical cases are associated with serotype 2, infections by other serotypes have sometimes been reported. Here, we sequenced the genome of a multidrug-resistant S. suis serotype 28 (strain 11313) and a multidrug-resistant S. suis serotype 31 (strain 11LB5). Strain 11313 was apathogenic in mouse infection models, whereas strain 11LB5 displayed ganglion demyelination, meningeal thickening, congestion, mononuclear cell infiltration, massive proliferation of cortical glial cells, and bacteria (>104 CFU/g) in the spinal cord and ganglia in mice. Furthermore, immunohistochemistry found that the heavily infiltrated glial cells were astrocytes. Strain 11313 harbored the resistance genes ant(6)-Ia, erm(B), optrA, tet(l), tet(o), and strain 11LB5 harbored the resistance genes ant(6)-Ia, erm(B), tet(40), tet(o/w/32/o), aac(6′)-aph(2″). Mouse studies showed that strain 11LB5 exhibited a similar virulence to serotype 2 strain 700794, highlighting the need for surveillance of the other serotype S. suis isolates, in addition to serotype 2, in farms. This is the first report of the aminoglycoside resistance gene ant(6)-Ia in S. suis from animals. This suggests that S. suis might serve as an antibiotic resistance reservoir, which spreads the resistance gene ant(6)-Ia or optrA to other streptococcal pathogens on farms.
Integrative Morphometric and Molecular Approach to Update the Impact and Distribution of Potato Cyst Nematodes Globodera rostochiensis and Globodera pallida (Tylenchida: Heteroderidae) in Algeria
Authors: Djebroune Aouicha , Chakali Gahdab , de Andrade Eugénia , Camacho Maria João , Rusinque Leidy , Inácio Maria L.
Published: February 2021

Morphological and molecular studies were conducted to characterize the specific identity of 36 isolates of potato cyst nematodes (PCNs) recovered from soil samples collected in several potato producing areas of Algeria. Morphometric data revealed that 44% of isolates contained Globodera pallida alone, 28% contained Globodera rostochiensis alone and 28% mixtures of the two species. Morphometric values of cysts and second-stage juveniles were generally distributed with slight differences in the expected ranges for both Globodera species. Inter- and intraspecific morphometric variability in nematode isolates was noted. Molecular analysis using conventional multiplex PCR with species-specific primers and TaqMan real-time PCR confirmed the morphological identification. In addition, the distribution of both potato cyst nematode species throughout various parts of the country was investigated. In the central areas, the isolates of G. pallida alone dominate, whereas isolates of G. rostochiensis alone are more frequent in the southern areas. In the eastern regions, mixed isolates are more representative. Most isolates examined in the western areas are mixtures of the two species or G. rostochiensis alone. Comparatively, G. pallida remains the most widely distributed species in its geographic range. This study confirms the presence of two PCN species, G. pallida and G. rostochiensis, in Algeria and provides additional information on their biogeographic distribution.
Design and Mechanism of Action of a New Prototype of Combi-Molecule “Programed” to Release Bioactive Species at a pH Range Akin to That of the Tumor Microenvironment
Authors: Larroque-Lombard Anne-Laure , Chatelut Etienne , Delord Jean-Pierre , Imbs Diane-Charlotte , Rochaix Philippe , Jean-Claude Bertrand , Allal Ben
Published: February 2021

The clinical use of cytotoxic agents is plagued by systemic toxicity. We report a novel approach that seeks to design a “combi-molecule” to behave as an alkylating agent on its own and to undergo acid-catalyzed conversion to two bioactive species at a pH range akin to that of a tumor microenvironment: an AL530 prototype was synthesized and we studied its ability to release a chlorambucil analogue (CBL-A) plus a potent mitogen-activated protein/extracellular signal-regulated kinase kinase (MEK) inhibitor (PD98059) at different pHs in buffered solutions, plasma and tumors. Its potency was compared in vitro with CBL+PD98059 (SRB assay) and in vivo in a xenograft model. Its target modulation was studied by western blotting and immunohistochemistry. AL530 released PD98059+CBL-A at mild acidic pH and in vitro was fivefold more potent than CBL and three-to-fivefold more potent than CBL+PD98059. In vivo it released high levels of PD98059 in tumors with a tumor/plasma ratio of five. It induced γ-H2AX phosphorylation and blocked pErk1,2, indirectly indicating its ability to damage DNA and modulate MEK. It induced significant tumor delay and less toxicity at unachievable doses for CBL and CBL+PD98059. We demonstrated the feasibility of a pH-labile combi-molecule capable of delivering high MEK inhibitor concentration in tumors, damaging DNA therein, and inducing tumor growth delay.
Evaluation of Current Amikacin Dosing Recommendations and Development of an Interactive Nomogram: The Role of Albumin
Authors: Pérez-Blanco Jonás Samuel , Sáez Fernández Eva María , Calvo María Victoria , Lanao José M. , Martín-Suárez Ana
Published: February 2021

This study aimed to evaluate the potential efficacy and safety of the amikacin dosage proposed by the main guidelines and to develop an interactive nomogram, especially focused on the potential impact of albumin on initial dosage recommendation. The probability of target attainment (PTA) for each of the different dosing recommendations was calculated through stochastic simulations based on pharmacokinetic/pharmacodynamic (PKPD) criteria. Large efficacy and safety differences were observed for the evaluated amikacin dosing guidelines together with a significant impact of albumin concentrations on efficacy and safety. For all recommended dosages evaluated, efficacy and safety criteria of amikacin dosage proposed were not achieved simultaneously in most of the clinical scenarios evaluated. Furthermore, a significant impact of albumin was identified: The higher is the albumin, (i) the higher will be the PTA for maximum concentration/minimum inhibitory concentration (Cmax/MIC), (ii) the lower will be the PTA for the time period with drug concentration exceeding MIC (T>MIC) and (iii) the lower will be the PTA for toxicity (minimum concentration). Thus, accounting for albumin effect might be of interest for future amikacin dosing guidelines updates. In addition, AMKnom, an amikacin nomogram builder based on PKPD criteria, has been developed and is freely available to help evaluating dosing recommendations.
Optimizing Protocols for Arabidopsis Shoot and Root Protoplast Cultivation
Authors: Pasternak Taras , Paponov Ivan A. , Kondratenko Serhii
Published: February 2021

Procedures for the direct regeneration of entire plants from a shoot and root protoplasts of Arabidopsis thaliana have been optimized. The culture media for protoplast donor-plant cultivation and protoplast culture have been adjusted for optimal plant growth, plating efficiency, and promotion of shoot regeneration. Protocols have been established for the detection of all three steps in plant regeneration: (i) chromatin relaxation and activation of auxin biosynthesis, (ii) cell cycle progression, and (iii) conversion of cell-cycle active cells to totipotent ones. The competence for cell division was detected by DNA replication events and required high cell density and high concentrations of the auxinic compound 2,4-D. Cell cycle activity and globular structure formation, with subsequent shoot induction, were detected microscopically and by labeling with fluorescent dye Rhodamine123. The qPCR results demonstrated significantly upregulated expression of the genes responsible for nuclear reorganization, auxin responses, and auxin biosynthesis during the early stage of cell reprogramming. We further optimized cell reprogramming with this protocol by applying glutathione (GSH), which increases the sensitivity of isolated mesophyll protoplasts to cell cycle activation by auxin. The developed protocol allows us to investigate the molecular mechanism of the de-differentiation of somatic plant cells.
No Effect of Selective Maturation on Fruit Traits for a Bird-Dispersed Species, Sambucus racemosa
Authors: Koyama Kohei , Tashiro Mayu
Published: February 2021

Selective abortion, also called selective maturation, is a phenomenon wherein maternal plants selectively mature ovules that have the potential to grow into higher-quality fruits, such as those that contain more seeds. We hypothesized that the effects of selective maturation on fruit traits could be influenced by the dispersal mechanism. However, to date, limited studies have been conducted on selective maturation in bird-dispersed fruits. Unlike self- or wind-dispersed species, bird-dispersed species would not selectively mature fruits that contain more seeds because they are not preferred by birds. Here, we investigated the effect of selective abortion on the fruit traits of a bird-dispersed species, elderberry (Sambucus racemosa L. subsp. kamtschatica). We performed a flower-removal experiment. Half of the inflorescences on each individual tree were removed for the treatment group, whereas the control group was not manipulated. We found that the flower-removed trees showed higher fruit sets, suggesting the existence of resource limitation. The number of seeds per fruit did not increase by the experimental treatment. Additionally, the control individuals did not produce larger fruits. The lack of effects on fruit traits supported our hypothesis that the effect of selective maturation on fruit traits may differ among species with different dispersal mechanisms.
Facile Post Treatment of Ag Nanowire/Polymer Composites for Flexible Transparent Electrodes and Thin Film Heaters
Authors: Jin In Su , Lee Hee Dong , Hong Seok Il , Lee Woosung , Jung Jae Woong
Published: February 2021

Typical polyol-based synthesis of silver nanowire employs insulating polymer as a surfactant for the silver nanowire growth, which limits direct contact between each nanowire and thus its optoelectronic properties. We herein demonstrate that a simple solvent treatment effectively removes the insulating polymer around Ag NWs, leading to significantly decreased sheet resistance (~12 Ω/sq) with an increased transmittance (81% @ T550), as compared to other post-treatments. We successfully demonstrate the transparent film heaters using the solvent-treated Ag NWs network, which rapidly exhibited 150 °C under a bias of 5 V. Flexible film heaters on plastic substrate is also demonstrated, suggesting a great potential of the solvent treatment process of Ag NWs for flexible transparent electrode and film heater applications.
Melt Spinning of Highly Stretchable, Electrically Conductive Filament Yarns
Authors: Probst Henriette , Katzer Konrad , Nocke Andreas , Hickmann Rico , Zimmermann Martina , Cherif Chokri
Published: February 2021

Electrically conductive fibers are required for various applications in modern textile technology, e.g., the manufacturing of smart textiles and fiber composite systems with textile-based sensor and actuator systems. According to the state of the art, fine copper wires, carbon rovings, or metallized filament yarns, which offer very good electrical conductivity but low mechanical elongation capabilities, are primarily used for this purpose. However, for applications requiring highly flexible textile structures, as, for example, in the case of wearable smart textiles and fiber elastomer composites, the development of electrically conductive, elastic yarns is of great importance. Therefore, highly stretchable thermoplastic polyurethane (TPU) was compounded with electrically conductive carbon nanotubes (CNTs) and subsequently melt spun. The melt spinning technology had to be modified for the processing of highly viscous TPU–CNT compounds with fill levels of up to 6 wt.% CNT. The optimal configuration was achieved at a CNT content of 5 wt.%, providing an electrical resistance of 110 Ωcm and an elongation at break of 400%.
The Application of Supercritical Fluids Technology to Recover Healthy Valuable Compounds from Marine and Agricultural Food Processing By-Products: A Review
Authors: Zhou Jianjun , Gullón Beatriz , Wang Min , Gullón Patricia , Lorenzo José M. , Barba Francisco J.
Published: February 2021

Food by-products contain a remarkable source of bioactive molecules with many benefits for humans; therefore, their exploitation can be an excellent opportunity for the food sector. Moreover, the revalorization of these by-products to produce value-added compounds is considered pivotal for sustainable growth based on a circular economy. Traditional extraction technologies have several drawbacks mainly related to the consumption of hazardous organic solvents, and the high temperatures maintained for long extraction periods which cause the degradation of thermolabile compounds as well as a low extraction efficiency of desired compounds. In this context, supercritical fluid extraction (SFE) has been explored as a suitable green technology for the recovery of a broad range of bioactive compounds from different types of agri-food wastes. This review describes the working principle and development of SFE technology to valorize by-products from different origin (marine, fruit, vegetable, nuts, and other plants). In addition, the potential effects of the extracted active substances on human health were also approached.
Biofilm Degradation of Nontuberculous Mycobacteria Formed on Stainless Steel Following Treatment with Immortelle (Helichrysum italicum) and Common Juniper (Juniperus communis) Essential Oils
Authors: Peruč Dolores , Broznić Dalibor , Maglica Željka , Marijanović Zvonimir , Karleuša Ljerka , Gobin Ivana
Published: February 2021

Nontuberculous mycobacteria, like other opportunistic premise plumbing pathogens, produce resistant biofilms on various surfaces in the plumbing system including pipes, tanks, and fittings. Since standard methods of water disinfection are ineffective in eradicating biofilms, research into new agents is necessary. Essential oils (EOs) have great potential as anti-biofilm agents. Therefore, the purpose of this research was to investigate the potential anti-biofilm effect of common juniper (Juniperus communis) and immortelle (Helichrysum italicum) EOs. Minimum inhibitory concentrations (MIC), minimum bactericidal concentrations (MBC), and minimum effective concentrations of EOs on Mycobacterium avium, M. intracellulare, and M. gordonae were tested. Additionally, biofilms on the surface of a stainless steel disc were treated with single or mixed concentration of EOs, in order to investigate their degeneration via the bacterial count and confocal laser scanning microscopy (CLSM). H. italicum EO showed the strongest biofilm degradation ability against all Mycobacteria strains that were tested. The strongest effect in the biofilm degradation after the single or mixed applications of EOs was observed against M. gordonae, followed by M. avium. The most resistant was the M. intracellulare biofilm. Synergistic combinations of J. communis and H. italicum EOs therefore seem to be an effective substance in biofilm degradation for use in small water systems such as baths or hot tubs.
Christianity and Darwinism: The Journey Is More Important Than the Destination
Authors: Ruse Michael
Published: February 2021

Does God exist? If he does, what is the evidence for this? Can one arrive at God through reason (natural theology), or is it faith or nothing (revealed theology)? I write of my lifetime of wrestling with this question. Raised a Quaker, I lost my faith at the age of 20. As an academic, I became an expert on Charles Darwin and his theory of evolution through natural selection. How can I make sense of—and how can I reconcile—these two hugely important things in my life? At the age of 80, I find myself a long-standing agnostic. This is not, as Francis Collins claims, a “cop out.” Showing my debt to my Quaker heritage, I am theologically apophatic. I can say only what I do not know. I find this quite-out-of-character modesty hugely exciting. It gives my life great meaning.
Estimating Canopy Density Parameters Time-Series for Winter Wheat Using UAS Mounted LiDAR
Authors: Bates Jordan Steven , Montzka Carsten , Schmidt Marius , Jonard François
Published: February 2021

Monitoring of canopy density with related metrics such as leaf area index (LAI) makes a significant contribution to understanding and predicting processes in the soil–plant–atmosphere system and to indicating crop health and potential yield for farm management. Remote sensing methods using optical sensors that rely on spectral reflectance to calculate LAI have become more mainstream due to easy entry and availability. Methods with vegetation indices (VI) based on multispectral reflectance data essentially measure the green area index (GAI) or response to chlorophyll content of the canopy surface and not the entire aboveground biomass that may be present from non-green elements that are key to fully assessing the carbon budget. Methods with light detection and ranging (LiDAR) have started to emerge using gap fraction (GF) to estimate the plant area index (PAI) based on canopy density. These LiDAR methods have the main advantage of being sensitive to both green and non-green plant elements. They have primarily been applied to forest cover with manned airborne LiDAR systems (ALS) and have yet to be used extensively with crops such as winter wheat using LiDAR on unmanned aircraft systems (UAS). This study contributes to a better understanding of the potential of LiDAR as a tool to estimate canopy structure in precision farming. The LiDAR method proved to have a high to moderate correlation in spatial variation to the multispectral method. The LiDAR-derived PAI values closely resemble the SunScan Ceptometer GAI ground measurements taken early in the growing season before major stages of senescence. Later in the growing season, when the canopy density was at its highest, a possible overestimation may have occurred. This was most likely due to the chosen flight parameters not providing the best depictions of canopy density with consideration of the LiDAR’s perspective, as the ground-based destructive measurements provided lower values of PAI. Additionally, a distinction between total LiDAR-derived PAI, multispectral-derived GAI, and brown area index (BAI) is made to show how the active and passive optical sensor methods used in this study can complement each other throughout the growing season.
Laser Scanning Based Surface Flatness Measurement Using Flat Mirrors for Enhancing Scan Coverage Range
Authors: Li Fangxin , Li Heng , Kim Min-Koo , Lo King-Chi
Published: February 2021

Surface flatness is an important indicator for the quality assessment of concrete surfaces during and after slab construction in the construction industry. Thanks to its speed and accuracy, terrestrial laser scanning (TLS) has been popularly used for surface flatness inspection of concrete slabs. However, the current TLS based approach for surface flatness inspection has two primary limitations associated with scan range and occluded area. First, the areas far away from the TLS normally suffer from inaccurate measurement caused by low scan density and high incident angle of laser beams. Second, physical barriers such as interior walls cause occluded areas where the TLS is not able to scan for surface flatness inspection. To address these limitations, this study presents a new method that employs flat mirrors to increase the measurement range with acceptable measurement accuracy and make possible the scanning of occluded areas even when the TLS is out of sight. To validate the proposed method, experiments on two laboratory-scale specimens are conducted, and the results show that the proposed approach can enlarge the scan range from 5 m to 10 m. In addition, the proposed method is able to address the occlusion problem of the previous methods by changing the laser beam direction. Based on these results, it is expected that the proposed technique has the potential for accurate and efficient surface flatness inspection in the construction industry.
Addendum: Hu, C.; et al. Detecting Targets above the Earth’s Surface Using GNSS-R Delay Doppler Maps: Results from TDS-1. Remote Sens. 2019, 11, 2327
Authors: Hu Changjiang , Benson Craig , Park Hyuk , Camps Adriano , Qiao Li , Rizos Chris
Published: February 2021

This paper [...]
A Two-Hop mmWave MIMO NR-Relay Nodes to Enhance the Average System Throughput and BER in Outdoor-to-Indoor Environments
Authors: Verdecia-Peña Randy , Alonso José I.
Published: February 2021

Millimeter-Wave (mmWave) bands are receiving enormous attention in 5G mobile communications, due to the capability to provide a multi-gigabit transmission rate. In this paper, a two-hop architecture for 5G communications with the capacity to support high end-to-end performance due to the use of Relay Nodes (RNs) in mmWave-bands is presented. One of the novelties of the paper is the implementation of Amplify-and-Forward (A&F) and Decode-and-Forward (D&F) RNs along with a mmWave-band transceiver chain (Tx/Rx). In addition, two approaches for channel estimation were implemented at the D&F RN for decoding the backhaul link. One of them assumes complete knowledge of the channel (PCE), and the other one performs the channel estimation through Least Square (LS) estimator. A large number of simulations, using MATLABTM and SimulinkTM software, were performed to verify the potential benefits of the proposal two-hop 5G architecture in an outdoor-to-indoor scenario. The main novelty in performing these simulations is the use of signals with 5G features, as DL-SCH transport channel coding, PDSCH generation, and SS Burst generation, which is another of the main contributions of the paper. On the other hand, mmWave transmitter and receiver chains were designed and implemented with off-the shelf components. The simulations show that the two-hop network substantially improves the Key Performance Indicators (KPIs), Bit Error Rate (BER), and Throughput, in the communications between the logical 5G Radio Node (gNodeB), and the New Radio User Equipment (NR-UE). For example, a throughput improvement of 22 Mbps is obtained when a 4 × 4 × 2 MIMO D&F with LS architecture is used versus a SISO D&F with PCE architecture for Signal-to-Noise Ratio (SNR) = 20 dB and 64-QAM signal. This improvement reaches 96 Mbps if a 256-QAM signal is considered. The improvement in BER is 11 dB and 10.5 dB, respectively, for both cases. This work also shows that the obtained results with D&F RNs are better than with A&F RNs. For example, an improvement of 17 Mbps in the use of SISO D&F with LS vs. SISO A&F, for the 64-QAM signal is obtained. Besides, this paper constitutes a first step to the implementation of a mmWave MIMO 5G cooperative network platform.
Empirical Performance and Energy Consumption Evaluation of Container Solutions on Resource Constrained IoT Gateways
Authors: Raza Syed M. , Jeong Jaeyeop , Kim Moonseong , Kang Byungseok , Choo Hyunseung
Published: February 2021

Containers virtually package a piece of software and share the host Operating System (OS) upon deployment. This makes them notably light weight and suitable for dynamic service deployment at the network edge and Internet of Things (IoT) devices for reduced latency and energy consumption. Data collection, computation, and now intelligence is included in variety of IoT devices which have very tight latency and energy consumption conditions. Recent studies satisfy latency condition through containerized services deployment on IoT devices and gateways. They fail to account for the limited energy and computing resources of these devices which limit the scalability and concurrent services deployment. This paper aims to establish guidelines and identify critical factors for containerized services deployment on resource constrained IoT devices. For this purpose, two container orchestration tools (i.e., Docker Swarm and Kubernetes) are tested and compared on a baseline IoT gateways testbed. Experiments use Deep Learning driven data analytics and Intrusion Detection System services, and evaluate the time it takes to prepare and deploy a container (creation time), Central Processing Unit (CPU) utilization for concurrent containers deployment, memory usage under different traffic loads, and energy consumption. The results indicate that container creation time and memory usage are decisive factors for containerized micro service architecture.
A Low-Cost Optoacoustic Sensor for Environmental Monitoring
Authors: Stylogiannis Antonios , Kousias Nikolaos , Kontses Anastasios , Ntziachristos Leonidas , Ntziachristos Vasilis
Published: February 2021

Attention to Black Carbon (BC) has been rising due to its effects on human health as well its contribution to climate change. Measurements of BC are challenging, as currently used devices are either expensive or impractical for continuous monitoring. Here, we propose an optoacoustic sensor to address this problem. The sensor utilizes a novel ellipsoidal design for refocusing the optoacoustic signal with minimal acoustic energy losses. To reduce the cost of the system, without sacrificing accuracy, an overdriven laser diode and a Quartz Tuning Fork are used as the light source and the sound detector, respectively. The prototype was able to detect BC particles and to accurately monitor changes in concentration in real time and with very good agreement with a reference instrument. The response of the sensor was linearly dependent on the BC particles concentration with a normalized noise equivalent absorption coefficient (NNEA) for soot equal to 7.39 × 10−9 W cm−1 Hz−1/2. Finally, the prototype was able to perform NO2 measurements, demonstrating its ability to accurately monitor both particulate and gaseous pollutants. The proposed sensor has the potential to offer a significant economic impact for BC environmental measurements and source appointment technologies.
Gaze and Event Tracking for Evaluation of Recommendation-Driven Purchase
Authors: Sulikowski Piotr , Zdziebko Tomasz , Coussement Kristof , Dyczkowski Krzysztof , Kluza Krzysztof , Sachpazidu-Wójcicka Karina
Published: February 2021

Recommendation systems play an important role in e-commerce turnover by presenting personalized recommendations. Due to the vast amount of marketing content online, users are less susceptible to these suggestions. In addition to the accuracy of a recommendation, its presentation, layout, and other visual aspects can improve its effectiveness. This study evaluates the visual aspects of recommender interfaces. Vertical and horizontal recommendation layouts are tested, along with different visual intensity levels of item presentation, and conclusions obtained with a number of popular machine learning methods are discussed. Results from the implicit feedback study of the effectiveness of recommending interfaces for four major e-commerce websites are presented. Two different methods of observing user behavior were used, i.e., eye-tracking and document object model (DOM) implicit event tracking in the browser, which allowed collecting a large amount of data related to user activity and physical parameters of recommending interfaces. Results have been analyzed in order to compare the reliability and applicability of both methods. Observations made with eye tracking and event tracking led to similar results regarding recommendation interface evaluation. In general, vertical interfaces showed higher effectiveness compared to horizontal ones, with the first and second positions working best, and the worse performance of horizontal interfaces probably being connected with banner blindness. Neural networks provided the best modeling results of the recommendation-driven purchase (RDP) phenomenon.
Explaining Social Media Adoption for a Business Purpose: An Application of the UTAUT Model
Authors: Puriwat Wilert , Tripopsakul Suchart
Published: February 2021

Nowadays, the advance of the internet and mobile technologies have changed our daily life, not only in terms of consumption but in how business is done. Social media has been recognized as one of the potential online platforms for entrepreneurs especially in small and medium business establishments to cope with large corporations. This study aims to investigate elements affecting social media adoption for business purposes by adopting a well-known technology acceptance model—the unified theory of acceptance and use of technology (UTAUT). The data of 196 samples were collected via online questionnaires in Thailand using the structural equation modeling (SEM) technique employed to verify the proposed model with empirical data. The outcomes illustrate the performance and effort expectancy and social influence significantly influence behavior prospects to implement social media for business purposes. Facilitating conditions significantly contribute to affecting actual user behavior. Also, the authors investigated the moderating effect of all demographic and behavioral factors such as gender, age, daily spent time on social media, and entrepreneur status. The results of the one-way analysis of variance (ANOVA) analysis show that there are immense variances in the intention of social media behavior and use behavior due to age. Younger adults tend to be more adept with user behavior and behavioral intention more than older adults.
Mobile Applications, Geolocation and Information Technologies for the Study and Communication of the Heritage Value of Public Works
Authors: Hernández-Lamas Patricia , Cabau-Anchuelo Beatriz , de Castro-Cuartero Óscar , Bernabéu-Larena Jorge
Published: February 2021

Public works’ relationship with the landscape should be among the factors addressed in heritage studies. Their association with place defines their purpose while contributing to the construction of the cultural landscape. Unawareness of the existence of public works is their most powerful enemy. Inventorying and cataloguing are therefore imperative in any study of these assets. The research described here drew from information technologies to develop cost-free mobile apps in an innovative approach to dissemination with the aim to enhance public awareness of and esteem for such elements. The applications described, which are all author-developed and designed to promote Spain’s heritage public works, address the heritage value of rural public works (VAPROP_Rutas), geolocation of the built heritage (GEOPACK), heritage public works on the River Duero (PHDuero), major works of engineering (GOING) and geolocation of Eduardo Torroja’s public works (underway). All these applications build on the geo-positioning features of mobile handsets and are characterised by simple and intuitive interfaces for ready accessibility by the public at large. Users may participate in the experience by entering useful information, new content and suggestions. These apps deploy the latest technologies to enhance the understanding and appreciation of civil works by explaining their territorial, social and cultural significance.
Knowledge, Attitude, and Practice Regarding Charcoal Consumption among Households in Sanaag Province, North-Eastern Somalia
Authors: Yusuf Faiza Ali , Kusin Faradiella Mohd , Kpalo Sunday Yusuf
Published: February 2021

Charcoal consumption is prevalent in the Sanaag province of North-Eastern Somalia amidst the energy crisis, leading to destruction of the fragile environment and negative impacts on citizen’s health. This study seeks to evaluate charcoal consumption trends among households. The objectives were to assess the households’ level of knowledge, attitude, and practice (KAP) regarding charcoal consumption, and to determine the association of knowledge and attitude with practices. A questionnaire was designed and distributed to 343 households who were selected using a multistage random sampling technique. Data were analyzed by both descriptive and inferential statistics using SPSS. Findings showed that 79.3% of the respondents have a good level of knowledge, 63.6% have fair level of attitude, and a fair level of practice was displayed by 77.3%. A significant association was found of charcoal consumption practices with knowledge, but not with attitude. Results also suggest that good knowledge does not necessarily translate into good practice. Improving knowledge and attitude through appropriate intervention programs or policies can ensure sustainable charcoal consumption practice. This study is a substantial contribution to the literature on KAP relating to charcoal consumption among households in Somalia.
Does Individual Knowledge Management in Online Education Prepare Business Students for Employability in Online Businesses?
Authors: Neștian Ștefan Andrei , Vodă Ana Iolanda , Tiță Silviu Mihail , Guță Alexandra Luciana , Turnea Elena-Sabina
Published: February 2021

Business education has been currently challenged by the fast introduction of online learning platforms for students enrolled in higher education who had been previously used only face-to-face interaction, raising questions about the sustainability of online education. This new learning environment creates a different path for students managing their knowledge, who, due to the influence of online experiences, could develop different skills with different outcomes for their chances of employment. This study analyses knowledge management of business students in an online education setting to discover its influence on students’ perception of both their general employment chances, and specifically in online businesses. To conduct the study, we opted for a quantitative research design based on a questionnaire applied between November and December of 2020, which resulted in valid responses from 256 Bachelor’s and Master’s Degree students. In line with the research hypotheses, correlation, reliability tests and logistic regression were used to perform data analysis. The results clearly indicate that students’ perception of their employment chances depend on the increasing score of knowledge acquisition, knowledge revision, conceptual change and knowledge application, independently and under the action of control variables. Additionally, knowledge application proved to be an important determinant for students’ perception of their employment chances in online businesses.
From Neoclassical Economics to Common Good Economics
Authors: Dolderer Johannes , Felber Christian , Teitscheid Petra
Published: February 2021

The economy for the common good (ECG) has been developed as a practical economic model, starting in Austria, Bavaria, and South Tyrol in 2010. Nowadays, ECG is considered a viable approach for sustainable transformation across Europe, and also worldwide. Within economic policy, ECG expands social market economy concepts; from a theoretical perspective of economics the question arises, of whether the implicit theoretical model refines the neoclassical paradigm or actually transcends it. During the first scientific conference on the ECG, at the end of 2019 at the University of Applied Sciences Bremen, some 150 participants concluded that an investigation of ECG practices was necessary, and that the fundamental theory needs to be developed in an explicit and systematic way. This article is a first attempt at contrasting the theoretical basis of the ECG model with neoclassical economics, using core concepts and cornerstones of the latter’s paradigm. The outcome is the cornerstone of common good economics.
Using Partnerships and Community Science to Protect Wild and Scenic Rivers in the Eastern United States
Authors: Field-Juma Alison , Roberts-Lawler Nancy
Published: February 2021

The Musconetcong (New Jersey) and the Sudbury-Assabet-Concord (Massachusetts) are federally-designated Partnership Wild and Scenic Rivers, a model for river conservation under the Wild and Scenic Rivers Act. These two rivers are embedded in a patchwork of private and public land ownership. The Act has been used to facilitate partnerships among municipal, state, federal and local non-profit actors to implement river conservation plans. These partnerships have supported community science-based monitoring to make the case for dam removal and stricter water pollution controls. Two case studies examine using community science to provide actionable data to decision-makers. In New Jersey, a documented increase in macroinvertebrates post-dam removal supported additional dam removals, leading to the return of American shad to the river. Quality controls and training proved to be key components. In Massachusetts, stricter effluent discharge permits reduced instream Total Phosphorus from 0.8 mg/L in 1999 to the eutrophication threshold of 0.023–0.05 mg/L. Community engagement in river science and stewardship was an important co-benefit. As many US rivers evolve from generating hydropower and conveying waste into major recreational resources, local organizations are uniquely positioned to engage the public and generate quality-controlled data to use in advocating for major improvements in water and habitat quality. Useful policy and regulatory frameworks for broader applicability are suggested.
The Synergy of Ecosystems of Blue and Green Infrastructure and Its Services in the Metropolitan Area—Chances and Dangers
Authors: Blazy Rafał , Hrehorowicz-Gaber Hanna , Hrehorowicz-Nowak Alicja , Płachta Arkadiusz
Published: February 2021

Ecosystems have become synanthropized, and the degree of their transformation depends on their susceptibility to anthropopressure, but they are necessary for the functioning of the anthropogenic environment. They provide many ecosystem services, yet they are often not protected in any way, and their value is not taken into account at all in the process of creating local development plans. The analysis of the blue and green infrastructure covered three municipalities: Łapanów, Gdów, and Dobczyce. To calculate the benefits of ecosystem services, the method of calculating the Ve coefficient was adopted, which would enable a more accurate financial evaluation of the local development plan and make the previously synthetic economic coefficient of net present value (NPV) real. Besides, the impact of water bodies on the financial benefits of ecosystem services was analyzed. Only the protection of ecosystems introduced by including it in the local development plan enables full ecosystem synergy. Next to anthropological ecosystems, there are also natural ecosystems, which are necessary for the proper functioning of the commune. The network of those includes green (in the case of vegetated areas) and blue (in the case of surface waters) infrastructure, and their synergy is the key to the sustainable development of the commune.
A European Emissions Trading System Powered by Distributed Ledger Technology: An Evaluation Framework
Authors: Mandaroux Rahel , Dong Chuanwen , Li Guodong
Published: February 2021

The European Union Emissions Trading System (EU ETS) is a major pillar of the European energy policy to reduce greenhouse gas emissions. However, the reportedly pervasive frauds in this market are constraining the beneficial role of the EU ETS. In this conceptual paper, we propose to digitalize the EU ETS by distributed ledger technology (DLT), enabling the verification of authenticity and provenance, proof of ownership, and lifecycle traceability of carbon certificates and assets. Our platform allows verifiable credentials to validate emission allowances, real-time tracking of trading participants’ emissions, and the audit trail reporting of the decentralized trading records. Furthermore, we complement the DLT application concept with a structured interdisciplinary evaluation framework. Our framework and analysis aim to stimulate further interdisciplinary research in this area to support regulators, such as the European Commission, in designing effective digital emissions trading systems.
Business Group-Affiliation and Corporate Social Responsibility: Evidence from Listed Companies in China
Authors: Huang Xin , Jiang Xianling , Liu Wei , Chen Qian
Published: February 2021

Business groups have played a vital role in the development of emerging markets. However, we share very limited understanding in the role of business group that act on affiliated firms’ CSR performance. Using manually sorted data on A-share listed companies and business groups in China from 2010–2017, we examine whether a company’s business group-affiliation affects its corporate social responsibility (CSR) performance and the mediating mechanisms of this association. Our empirical models show that group companies bear a higher level of social responsibility compared to independent companies. This positive relationship between group-affiliation and social responsibility relies on resource allocation through internal capital markets, rent-seeking initiatives, and consideration of corporate reputation. Moreover, group affiliation benefits the firm’s CSR performance in employee’s responsibilities, consumers’ responsibilities and environmental responsibilities, while significantly lower the shareholders’ responsibilities. Our empirical valuation of group companies’ CSR levels can serve as a benchmark for emerging market companies implementing social responsibility policies.
Evolutionary Multilabel Classification Algorithm Based on Cultural Algorithm
Authors: Wu Qinghua , Wu Bin , Hu Chengyu , Yan Xuesong
Published: February 2021

As one of the common methods to construct classifiers, naïve Bayes has become one of the most popular classification methods because of its solid theoretical basis, strong prior knowledge learning characteristics, unique knowledge expression forms, and high classification accuracy. This classification method has a symmetry phenomenon in the process of data classification. Although the naïve Bayes classifier has high classification performance in single-label classification problems, it is worth studying whether the multilabel classification problem is still valid. In this paper, with the naïve Bayes classifier as the basic research object, in view of the naïve Bayes classification algorithm’s shortage of conditional independence assumptions and label class selection strategies, the characteristics of weighted naïve Bayes is given a better label classifier algorithm framework; the introduction of cultural algorithms to search for and determine the optimal weights is proposed as the weighted naïve Bayes multilabel classification algorithm. Experimental results show that the algorithm proposed in this paper is superior to other algorithms in classification performance.
Design and Implementation of the Pre-Clinical DICOM Standard in Multi-Cohort Murine Studies
Authors: Kalen Joseph D. , Clunie David A. , Liu Yanling , Tatum James L. , Jacobs Paula M. , Kirby Justin , Freymann John B. , Wagner Ulrike , Smith Kirk E. , Suloway Christian , Doroshow James H.
Published: February 2021

The small animal imaging Digital Imaging and Communications in Medicine (DICOM) acquisition context structured report (SR) was developed to incorporate pre-clinical data in an established DICOM format for rapid queries and comparison of clinical and non-clinical datasets. Established terminologies (i.e., anesthesia, mouse model nomenclature, veterinary definitions, NCI Metathesaurus) were utilized to assist in defining terms implemented in pre-clinical imaging and new codes were added to integrate the specific small animal procedures and handling processes, such as housing, biosafety level, and pre-imaging rodent preparation. In addition to the standard DICOM fields, the small animal SR includes fields specific to small animal imaging such as tumor graft (i.e., melanoma), tissue of origin, mouse strain, and exogenous material, including the date and site of injection. Additionally, the mapping and harmonization developed by the Mouse-Human Anatomy Project were implemented to assist co-clinical research by providing cross-reference human-to-mouse anatomies. Furthermore, since small animal imaging performs multi-mouse imaging for high throughput, and queries for co-clinical research requires a one-to-one relation, an imaging splitting routine was developed, new Unique Identifiers (UID’s) were created, and the original patient name and ID were saved for reference to the original dataset. We report the implementation of the small animal SR using MRI datasets (as an example) of patient-derived xenograft mouse models and uploaded to The Cancer Imaging Archive (TCIA) for public dissemination, and also implemented this on PET/CT datasets. The small animal SR enhancement provides researchers the ability to query any DICOM modality pre-clinical and clinical datasets using standard vocabularies and enhances co-clinical studies.
A System-Agnostic, Adaptable and Extensible Animal Support Cradle System for Cardio-Respiratory-Synchronised, and Other, Multi-Modal Imaging of Small Animals
Authors: Kersemans Veerle , Gilchrist Stuart , Allen Philip Danny , Wallington Sheena , Kinchesh Paul , Prentice John , Tweedie Martin , Warner Jamie H. , Smart Sean C.
Published: February 2021

Standardisation of animal handling procedures for a wide range of preclinical imaging scanners will improve imaging performance and reproducibility of scientific data. Whilst there has been significant effort in defining how well scanners should operate and how in vivo experimentation should be practised, there is little detail on how to achieve optimal scanner performance with best practices in animal welfare. Here, we describe a system-agnostic, adaptable and extensible animal support cradle system for cardio-respiratory-synchronised, and other, multi-modal imaging of small animals. The animal support cradle can be adapted on a per application basis and features integrated tubing for anaesthetic and tracer delivery, an electrically driven rectal temperature maintenance system and respiratory and cardiac monitoring. Through a combination of careful material and device selection, we have described an approach that allows animals to be transferred whilst under general anaesthesia between any of the tomographic scanners we currently or have previously operated. The set-up is minimally invasive, cheap and easy to implement and for multi-modal, multi-vendor imaging of small animals.
Chimeric Measles Virus (MV/RSV), Having Ectodomains of Respiratory Syncytial Virus (RSV) F and G Proteins Instead of Measles Envelope Proteins, Induced Protective Antibodies against RSV
Authors: Sawada Akihito , Ito Takashi , Yamaji Yoshiaki , Nakayama Tetsuo
Published: February 2021

In our previous study, fusion (F) or glyco (G) protein coding sequence of respiratory syncytial virus (RSV) was inserted at the P/M junction of the measles AIK-C vector (MVAIK), and the recombinant measles virus induced protective immune responses. In the present study, the ectodomains of measles fusion (F) and hemagglutinin (HA) proteins were replaced with those of RSV F and G proteins, and a chimeric MV/RSV vaccine was developed. It expressed F and G proteins of RSV and induced cytopathic effect (CPE) in epithelial cell lines (Vero, A549, and HEp-2 cells), but not in lymphoid cell lines (B95a, Jurkat, and U937 cells). A chimeric MV/RSV grew similarly to AIK-C with no virus growth at 39 °C. It induced NT antibodies against RSV in cotton rats three weeks after immunization through intramuscular route and enhanced response was observed after the second dose at eight weeks. After the RSV challenge with 106 PFU, significantly lower virus (101.4±0.1 PFU of RSV) was recovered from lung tissue in the chimeric MV/RSV vaccine group than in the MVAIK control group with 104.6±0.2 PFU (p < 0.001) and no obvious inflammatory pathological finding was noted. The strategy of ectodomain replacement in the measles virus vector is expected to lead to the development of safe and effective vaccines for other enveloped viruses.