bluuebunny/crossref_metadata_2025 huggingface dataset:
Organizational Structure Change and Hybridity: Enhancing Uncertainty as a Response to Competing and Changing Institutional Logics
Authors: Liu Liming , Zhang Chao
Published: March 2022

Confronting the uncertain environment, this article adopts a case research approach to resonate with the studies of hybridity. It aims to explain how the perception of uncertainty in the institutional environment affects the adaptation of organizational structure in pursuing legitimacy for hybrid organizations. Based on the empirical data collected from a two-staged fieldwork and in-depth interviews, the case analysis concentrates on the correlation between the evolution of institutional logics and organizational structure change from a diachronic perspective. The findings indicate that in the face of competing and changing institutional logics, Chinese mass media organizations have gradually shifted from a dominated blending strategy in the exploration stage to a deeply compartmentalizing strategy in the stable stage. The hybrids can deal with the uncertainty of the institutional environment by enhancing the uncertainty of the organizational structure. Consequently, the case evolves an organizational integration through internal legitimacy. It manifests a possibility for hybrids of combining the two major response mechanisms in one process.
Cross-Cultural Communication on Social Media: Review From the Perspective of Cultural Psychology and Neuroscience
Authors: Yuna Di , Xiaokun Liu , Jianing Li , Lu Han
Published: March 2022

Introduction

In recent years, with the popularity of many social media platforms worldwide, the role of “virtual social network platforms” in the field of cross-cultural communication has become increasingly important. Scholars in psychology and neuroscience, and cross-disciplines, are attracted to research on the motivation, mechanisms, and effects of communication on social media across cultures.

Methods and Analysis

This paper collects the co-citation of keywords in “cultural psychology,” “cross-culture communication,” “neuroscience,” and “social media” from the database of web of science and analyzes the hotspots of the literature in word cloud.

Results

Based on our inclusion criteria, 85 relevant studies were extracted from a database of 842 papers. There were 44 articles on cultural communication on social media, of which 26 were from the perspective of psychology and five from the perspective of neuroscience. There are 27 articles that focus on the integration of psychology and neuroscience, but only a few are related to cross-cultural communication on social media.

Conclusion

Scholars have mainly studied the reasons and implications of cultural communication on social media from the perspectives of cultural psychology and neuroscience separately. Keywords “culture” and “social media” generate more links in the hot map, and a large number of keywords of cultural psychology and neuroscience also gather in the hot map, which reflects the trend of integration in academic research. While cultural characteristics have changed with the development of new media and virtual communities, more research is needed to integrate the disciplines of culture, psychology, and neuroscience.
Can’t Disconnect Even After-Hours: How Work Connectivity Behavior After-Hours Affects Employees’ Thriving at Work and Family
Authors: Yang Yang , Yan Rui , Meng Yan
Published: March 2022

As more organizations adopt telecommuting or working from home, the work-connected behavior of their employees during non-working hours increases, weakening the boundary between work and family. However, no study has clearly identified whether and how work connectivity behavior after-hours (WCBA) affects employees’ work and family status. Therefore, using role theory, we explored the mechanisms by which WCBA affects employees’ thriving at work and family through work–family enrichment and work–family conflict, and compared the impact of different levels of support for family members on work–family enrichment and conflict, using the Johnson–Neyman method. Our analysis of two-wave data from 257 employees led to the following findings. (1) WCBA had a positive impact on thriving at work, but not on family. (2) There is a ‘double-edged sword’ effect on the impact of WCBA on thriving at work, meaning that work–family enrichment can positively influence thriving at work and negatively influence work–family conflict. (3) There is a double-edged sword effect on the impact of WCBA on thriving at family, meaning that work–family enrichment can positively influence thriving at family and negatively influence work–family conflict. (4) The support of family members moderates the double-edged sword effect between WCBA and thriving at work, in that it can strengthen the positive effects of work–family enrichment (below 3.32 points or above 4.19 points) and weaken the negative effects of work–family conflicts (below 4.28 points). (5) Support from family members reinforces the positive impact of work–family enrichment (above 3.46 points) on thriving at family. Thus our study reveals the mechanisms by which WCBA affects the thriving at work and family of employees, and identifies potential methods for managing different levels of work–family enrichment and work–family conflict from the perspective of family member support.
Effectiveness of Vortioxetine in Patients With Major Depressive Disorder in Real-World Clinical Practice: Results of the RELIEVE Study
Authors: Mattingly Gregory W. , Ren Hongye , Christensen Michael Cronquist , Katzman Martin A. , Polosan Mircea , Simonsen Kenneth , Hammer-Helmich Lene
Published: March 2022

Background

Randomized controlled clinical trials have shown vortioxetine to be efficacious and well tolerated for the treatment of major depressive disorder (MDD). The Real-Life Effectiveness of Vortioxetine in Depression (RELIEVE) study was undertaken to demonstrate the effectiveness and safety of vortioxetine for the treatment of MDD in routine clinical practice.

Methods

RELIEVE was a 24-week, observational, prospective cohort study in outpatients with MDD initiating treatment with vortioxetine at their physician's discretion in routine care settings in Canada, France, Italy, and the USA (NCT03555136). The primary study outcome was patient functioning assessed by the Sheehan Disability Scale (SDS). Secondary outcomes included depression severity [9-item Patient Health Questionnaire (PHQ-9)], cognitive symptoms [5-item Perceived Deficits Questionnaire-Depression (PDQ-D-5)], and cognitive performance [Digit Symbol Substitution Test (DSST)]. Mixed models of repeated measures were used to assess change from baseline at week 24, adjusted for relevant confounders.

Results

A total of 737 patients were eligible for inclusion in the full analysis set. Most patients (73.7%) reported at least one comorbid medical condition, 56.0% had comorbid anxiety and 24.4% had comorbid generalized anxiety disorder. Improvement in least-squares (LS) mean SDS score from baseline to week 24 was 8.7 points. LS mean PHQ-9, PDQ-D-5 and DSST scores improved by 7.4, 4.6, and 6.2 points, respectively. Adverse events were observed in 21.2% of patients [most commonly, nausea (8.2% of patients)].

Conclusions

These results demonstrate the effectiveness and tolerability of vortioxetine for the treatment of MDD in a large and heterogeneous patient population representative of that encountered in routine clinical practice.
Exploring the Spatiotemporal Evolution and Socioeconomic Determinants of PM2.5 Distribution and Its Hierarchical Management Policies in 366 Chinese Cities
Authors: Zhu Minli , Guo Jinyuan , Zhou Yuanyuan , Cheng Xiangyu
Published: March 2022

From 2013 to 2017, progress has been made by implementing the Air Pollution Prevention and Control Action Plan. Under the background of the 3 Year Action Plan to Fight Air Pollution (2018–2020), the pollution status of PM2.5, a typical air pollutant, has been the focus of continuous attention. The spatiotemporal specificity of PM2.5 pollution in the Chinese urban atmospheric environment from 2018 to 2020 can be summarized to help conclude and evaluate the phased results of the battle against air pollution, and further, contemplate the governance measures during the period of the 14th Five-Year Plan (2021–2025). Based on PM2.5 data from 2018 to 2020 and taking 366 cities across China as research objects, this study found that PM2.5 pollution has improved year by year from 2018 to 2020, and that the heavily polluted areas were southwest Xinjiang and North China. The number of cities with a PM2.5 concentration in the range of 25–35 μg/m3 increased from 34 in 2018 to 86 in 2019 and 99 in 2020. Moreover, the spatial variation of the PM2.5 gravity center was not significant. Concretely, PM2.5 pollution in 2018 was more serious in the first and fourth quarters, and the shift of the pollution's gravity center from the first quarter to the fourth quarter was small. Global autocorrelation indicated that the space was positively correlated and had strong spatial aggregation. Local Moran's I and Local Geti's G were applied to identify hotspots with a high degree of aggregation. Integrating national population density, hotspots were classified into four areas: the Beijing–Tianjin–Hebei region, the Fenwei Plain, the Yangtze River Delta, and the surrounding areas were selected as the key hotspots for further geographic weighted regression analysis in 2018. The influence degree of each factor on the average annual PM2.5 concentration declined in the following order: (1) the proportion of secondary industry in the GDP, (2) the ownership of civilian vehicles, (3) the annual grain planting area, (4) the annual average population, (5) the urban construction land area, (6) the green space area, and (7) the per capita GDP. Finally, combined with the spatiotemporal distribution of PM2.5, specific suggestions were provided for the classified key hotspots (Areas A, B, and C), to provide preliminary ideas and countermeasures for PM2.5 control in deep-water areas in the 14th Five-Year Plan.
Diversity Training With Robots: Perspective-Taking Backfires, While Sterotype-Suppression Decreases Negative Attitudes Towards Robots
Authors: Wullenkord Ricarda , Eyssel Friederike
Published: March 2022

The present research investigated the effects of a diversity training intervention on robot-related attitudes to test whether this could help to manage the diversity inherent in hybrid human-robot teams in the work context. Previous research in the human-human context has shown that stereotypes and prejudice, i.e., negative attitudes, may impair productivity and job satisfaction in teams high in diversity (e.g., regarding age, gender, or ethnicity). Relatedly, in hybrid human-robot teams, robots likely represent an “outgroup” to their human co-workers. The latter may have stereotypes towards robots and may hold negative attitudes towards them. Both aspects might have detrimental effects on subjective and objective performance in human-robot interactions (HRI). In an experiment, we tested the effect of an economic and easy to apply diversity training intervention for use in the work context: The so-called enlightenment approach. This approach utilizes perspective-taking to reduce prejudice and discrimination in human-human contexts. We adapted this intervention to the HRI context and explored its impact on participants’ implicit and explicit robot-related attitudes. However, contrary to our predictions, taking the perspective of a robot resulted in more negative robot-related attitudes, whereas actively suppressing stereotypes about social robots and their characteristics produced positive effects on robot attitudes. Therefore, we recommend considering potential pre-existing aversions against taking the perspective of a robot when designing interventions to improve human-robot collaboration at the workplace. Instead, it might be useful to provide information about existing stereotypes and their consequences, thereby making people aware of their potential biases against social robots.
“Sequencing Matters”: Investigating Suitable Action Sequences in Robot-Assisted Autism Therapy
Authors: Baraka Kim , Couto Marta , Melo Francisco S. , Paiva Ana , Veloso Manuela
Published: March 2022

Social robots have been shown to be promising tools for delivering therapeutic tasks for children with Autism Spectrum Disorder (ASD). However, their efficacy is currently limited by a lack of flexibility of the robot’s social behavior to successfully meet therapeutic and interaction goals. Robot-assisted interventions are often based on structured tasks where the robot sequentially guides the child towards the task goal. Motivated by a need for personalization to accommodate a diverse set of children profiles, this paper investigates the effect of different robot action sequences in structured socially interactive tasks targeting attention skills in children with different ASD profiles. Based on an autism diagnostic tool, we devised a robotic prompting scheme on a NAO humanoid robot, aimed at eliciting goal behaviors from the child, and integrated it in a novel interactive storytelling scenario involving screens. We programmed the robot to operate in three different modes: diagnostic-inspired (Assess), personalized therapy-inspired (Therapy), and random (Explore). Our exploratory study with 11 young children with ASD highlights the usefulness and limitations of each mode according to different possible interaction goals, and paves the way towards more complex methods for balancing short-term and long-term goals in personalized robot-assisted therapy.
Survey of Image Edge Detection
Authors: Sun Rui , Lei Tao , Chen Qi , Wang Zexuan , Du Xiaogang , Zhao Weiqiang , Nandi Asoke K.
Published: March 2022

Edge detection technology aims to identify and extract the boundary information of image pixel mutation, which is a research hotspot in the field of computer vision. This technology has been widely used in image segmentation, target detection, and other high-level image processing technologies. In recent years, considering the problems of thick image edge contour, inaccurate positioning, and poor detection accuracy, researchers have proposed a variety of edge detection algorithms based on deep learning, such as multi-scale feature fusion, codec, network reconstruction, and so on. This paper dedicates to making a comprehensive analysis and special research on the edge detection algorithms. Firstly, by classifying the multi-level structure of traditional edge detection algorithms, the theory and method of each algorithm are introduced. Secondly, through focusing on the edge detection algorithm based on deep learning, the technical difficulties, advantages of methods, and backbone network selection of each algorithm are analysed. Then, through the experiments on the BSDS500 and NYUD dataset, the performance of each algorithm is further evaluated. It can be seen that the performance of the current edge detection algorithms is close to or even beyond the human visual level. At present, there are a few comprehensive review articles on image edge detection. This paper dedicates to making a comprehensive analysis of edge detection technology and aims to offer reference and guidance for the relevant personnel to follow up easily the current developments of edge detection and to make further improvements and innovations.
Running Injury Paradigms and Their Influence on Footwear Design Features and Runner Assessment Methods: A Focused Review to Advance Evidence-Based Practice for Running Medicine Clinicians
Authors: Agresta Cristine , Giacomazzi Christina , Harrast Mark , Zendler Jessica
Published: March 2022

Many runners seek health professional advice regarding footwear recommendations to reduce injury risk. Unfortunately, many clinicians, as well as runners, have ideas about how to select running footwear that are not scientifically supported. This is likely because much of the research on running footwear has not been highly accessible outside of the technical footwear research circle. Therefore, the purpose of this narrative review is to update clinical readers on the state of the science for assessing runners and recommending running footwear that facilitate the goals of the runner. We begin with a review of basic footwear construction and the features thought to influence biomechanics relevant to the running medicine practitioner. Subsequently, we review the four main paradigms that have driven footwear design and recommendation with respect to injury risk reduction: Pronation Control, Impact Force Modification, Habitual Joint (Motion) Path, and Comfort Filter. We find that evidence in support of any paradigm is generally limited. In the absence of a clearly supported paradigm, we propose that in general clinicians should recommend footwear that is lightweight, comfortable, and has minimal pronation control technology. We further encourage clinicians to arm themselves with the basic understanding of the known effects of specific footwear features on biomechanics in order to better recommend footwear on a patient-by-patient basis.
From the Ground Up: Esophageal Atresia Types, Disease Severity Stratification and Survival Rates at a Single Institution
Authors: Evanovich Devon Michael , Wang Jue Teresa , Zendejas Benjamin , Jennings Russell William , Bajic Dusica
Published: March 2022

Esophageal atresia (EA), although a rare congenital anomaly, represents one of the most common gastrointestinal birth defects. There is a gap in our knowledge regarding the impact of perioperative critical care in infants born with EA. This study addresses EA types, disease severity stratification, and mortality in a retrospective cohort at a single institution. Institutional Review Board approved our retrospective cross-sectional study of term-born (n = 53) and premature infants (28–37 weeks of gestation; n = 31) that underwent primary surgical repair of EA at a single institution from 2009–2020. Demographic and clinical data were obtained from the electronic medical record, Powerchart (Cerner, London, UK). Patients were categorized by (i) sex, (ii) gestational age at birth, (iii) types of EA (in relation to respiratory tract anomalies), (iv) co-occurring congenital anomalies, (v) severity of disease (viz. American Society of Anesthesiologists (ASA) and Pediatric Risk Assessment (PRAm) scores), (vi) type of surgical repair for EA (primary anastomosis vs. Foker process), and (vii) survival rate classification using Spitz and Waterston scores. Data were presented as numerical sums and percentages. The frequency of anatomical types of EA in our cohort parallels that of the literature: 9.5% (8/84) type A, 9.5% (8/84) type B, 80% (67/84) type C, and 1% (1/84) type D. Long-gap EA accounts for 88% (7/8) type A, 75% (6/8) type B, and 13% (9/67) type C in the cohort studied. Our novel results show a nearly equal distribution of sex per each EA type, and gestational age (term-born vs. premature) by anatomical EA type. PRAm scoring showed a wider range of disease severity (3–9) than ASA scores (III and IV). The survival rate in our EA cohort dramatically increased in comparison to the literature in previous decades. This retrospective analysis at a single institution shows incidence of EA per sex and gestational status for anatomical types (EA type A-D) and by surgical approach (primary anastomosis vs. Foker process for short-gap vs. long-gap EA, respectively). Despite its wider range, PRAm score was not more useful in predicting disease severity in comparison to ASA score. Increased survival rates over the last decade suggest a potential need to assess unique operative and perioperative risks in this unique population of patients. Presented findings also represent a foundation for future clinical studies of outcomes in infants born with EA.
Implications of Spatially Constrained Bipennate Topology on Fluidic Artificial Muscle Bundle Actuation
Authors: Duan Emily , Bryant Matthew
Published: March 2022

In this paper, we investigate the design of pennate topology fluidic artificial muscle bundles under spatial constraints. Soft fluidic actuators are of great interest to roboticists and engineers, due to their potential for inherent compliance and safe human–robot interaction. McKibben fluidic artificial muscles are an especially attractive type of soft fluidic actuator, due to their high force-to-weight ratio, inherent flexibility, inexpensive construction, and muscle-like force-contraction behavior. The examination of natural muscles has shown that those with pennate fiber topology can achieve higher output force per geometric cross-sectional area. Yet, this is not universally true for fluidic artificial muscle bundles, because the contraction and rotation behavior of individual actuator units (fibers) are both key factors contributing to situations where bipennate muscle topologies are advantageous, as compared to parallel muscle topologies. This paper analytically explores the implications of pennation angle on pennate fluidic artificial muscle bundle performance with spatial bounds. A method for muscle bundle parameterization as a function of desired bundle spatial envelope dimensions has been developed. An analysis of actuation performance metrics for bipennate and parallel topologies shows that bipennate artificial muscle bundles can be designed to amplify the muscle contraction, output force, stiffness, or work output capacity, as compared to a parallel bundle with the same envelope dimensions. In addition to quantifying the performance trade space associated with different pennate topologies, analyzing bundles with different fiber boundary conditions reveals how bipennate fluidic artificial muscle bundles can be designed for extensile motion and negative stiffness behaviors. This study, therefore, enables tailoring the muscle bundle parameters for custom compliant actuation applications.
Evaluation of Fiber-Reinforced Modular Soft Actuators for Individualized Soft Rehabilitation Gloves
Authors: Kokubu Shota , Wang Yuanyuan , Tortós Vinocour Pablo E. , Lu Yuxi , Huang Shaoying , Nishimura Reiji , Hsueh Ya-Hsin , Yu Wenwei
Published: March 2022

Applying soft actuators to hand motion assist for rehabilitation has been receiving increasing interest in recent years. Pioneering research efforts have shown the feasibility of soft rehabilitation gloves (SRGs). However, one important and practical issue, the effects of users’ individual differences in finger size and joint stiffness on both bending performance (e.g., Range of motion (ROM) and torque) and the mechanical loads applied to finger joints when the actuators are placed on a patient’s hand, has not been well investigated. Moreover, the design considerations of SRGs for individual users, considering individual differences, have not been addressed. These, along with the inherent safety of soft actuators, should be investigated carefully before the practical use of SRGs. This work aimed to clarify the effects of individual differences on the actuator’s performance through a series of experiments using dummy fingers designed with individualized parameters. Two types of fiber-reinforced soft actuators, the modular type for assisting each joint and conventional (whole-finger assist) type, were designed and compared. It was found that the modular soft actuators respond better to individual differences set in the experiment and exhibit a superior performance to the conventional ones. By suitable connectors and air pressure, the modular soft actuators could cope with the individual differences with minimal effort. The effects of the individualized parameters are discussed, and design considerations are extracted and summarized. This study will play an important role in pushing forward the SRGs to real rehabilitation practice.
Employee Involvement and Participation as a Function of Labor Relations and Human Resource Management: Evidence from Greek Subsidiaries of Multinational Companies in the Pharmaceutical Industry
Authors: Triantafillidou Eleni , Koutroukis Theodore
Published: March 2022

Employee involvement and participation is part of Labor Relations and Human Resource Management. This study is to identify how and to what extent employee involvement and employee participation mechanisms are used in the Greek subsidiaries of multinational companies in the pharmaceutical industry. The issues examined in this study are the design of employee involvement and participation practices, the similarities and differences of employee participation practices in the group of companies internationally, corporate employee communication and consultation mechanisms, corporate policy towards trade unions and the EWC nature and agreements. The research method is qualitative with semi-structured interviews conducted with management executives, human resource management executives and the selected organizations participating in the study are active in the pharmaceutical industry and fall within the scope of Directive 2009/38/EC/16.5.2009 on the right of employees to information and consultation at Community-scale companies and groups of companies. The findings indicate that most of the participant companies when designing employee involvement and participation practices, consider a formal model of best practices that has been codified for all multinational companies. Regarding the global company’s policy on consultation and employee involvement most of the participant companies state that they provide a little more than the institutional framework requires. Nevertheless, management receives information about the activity and meetings of the EWC systematically at the time of EWC meetings. Increasing employee participation requires both management attention and initiatives on the part of employees.
Reconnecting with Nature through Good Governance: Inclusive Policy across Scales
Authors: Wilkes Johanna
Published: March 2022

We are disconnected from nature, surpassing planetary boundaries at a time when our climate and social crises converge. Even prior to the emergence of COVID-19, the United Nations and its member states were already off track to achieve the Sustainable Development Goals (SDGs) and fulfil climate commitments made under the Paris Agreement. While agricultural expansion and intensification have supported increases in food production, this model has also fostered an unsustainable industry of overproduction, waste, and the consumption of larger quantities of carbon-intensive and ultra-processed foods. By addressing the tension that exists between our current food system and all that is exploited by it, different scales of governance can serve as spaces of transformation towards more equitable, sustainable outcomes. This review looks at how good governance can reconnect people with nature through inclusive structures across scales. Using four examples that focus on place-based and rights-based approaches—such as inclusive multilateralism, agroecology, and co-governance—the author hopes to highlight the ways that policy processes are already supporting healthy communities and resilient ecosystems.
Differing Roles of Bacterial and Fungal Communities in Cotton Fields by Growth Stage
Authors: Li Dongwei , Yang Yuhui , Zhao Yulong , Tian Guangli , Li Mingsi , Qiu Husen , Zhou Xinguo
Published: March 2022

The global demand for cotton makes sustainable cotton production an important issue that can be improved by a better understanding of the influence of soil microbes on cotton growth. We collected cotton field soils at the seedling and flowering/boll-setting (FBS) stages in order to obtain soil properties and cotton growth indices. Bacterial and fungal community compositions were assessed by high-throughput sequencing of 16S rRNA and internal transcribed spacer genes, respectively, after which the differences in microbial functions and their influencing factors at different growth stages were analyzed. Both the diversity and composition of soil bacterial and fungal communities were found to be significantly different between the seedling and FBS stages. Microbes in the seedling stage had significantly higher richness and biomass than those in the FBS stage. Compared with the seedling stage, the stability of the soil bacterial communities was decreased. The cotton growth indices at both the seedling and FBS stages were associated with compositional shifts in the bacterial community and but not the fungal community. The abundance of specific soil microbial taxa (e.g., Pseudarthrobacter, Thiobacillus, Cephalotrichum, Chaetomium, and Fusarium) were correlated with cotton growth indices at the seedling stage, being mainly regulated by soil salinity and nitrate content. Our results highlight the importance of soil microbial communities in mediating cotton growth and will be useful in providing better strategies for the improvement of cotton agriculture.
A Decade of Climate-Smart Agriculture in Major Agri-Food Systems: Earthworm Abundance and Soil Physico-Biochemical Properties
Authors: Jat Hanuman S. , Choudhary Madhu , Kakraliya Suresh K. , Gora Manoj K. , Kakraliya Manish , Kumar Vikas , Priyanka  , Poonia Tanuja , Mcdonald Andrew J. , Jat Mangi L. , Sharma Parbodh C. , Abdallah Ahmed M.
Published: March 2022

Earthworms (EWs) could be a viable indicator of soil biology and agri-food system management. The influence of climate-smart agriculture (CSA)-based sustainable intensification practices (zero tillage, crop rotations, crop residue retention, and precision water and nutrients application) on earthworms’ (EWs) populations and soil physico-biochemical properties of rice-wheat cropping system in the Indo-Gangetic plains of South Asia was investigated. This study investigates the effect of 10-years adoption of various CSA practices on the abundance of earthworms and physical and biochemical properties of the soil and EWs’ casts (EWC). Five scenarios (Sc) were included: conventionally managed rice-wheat system (farmers’ practices, Sc1), CSA-based rice-wheat-mungbean system with flood irrigation (FI) (Sc2) and subsurface drip irrigation (SDI) (Sc3), CSA-based maize-wheat-mungbean system with FI (Sc4), and SDI (Sc5). Results revealed that EWs were absent under Sc1, while the 10-year adoption of CSA-based scenarios (mean of Sc2–5) increased EWs’ density and biomass to be 257.7 no. m−2 and 36.05 g m−2, respectively. CSA-based maize scenarios (Sc4 and Sc5) attained higher EWs’ density and biomass over rice-based CSA scenarios (Sc2 and Sc4). Also, SDI-based scenarios (Sc3 and Sc5) recorded higher EWs’ density and biomass over FI (Sc2 and Sc4). Maize-based CSA with SDI recorded the highest EWs’ density and EWs’ biomass. The higher total organic carbon in EWC (1.91%) than in the bulk soil of CSA-based scenarios (0.98%) and farmers’ practices (0.65%) suggests the shift of crop residue to a stable SOC (in EWC). EWC contained significant amounts of C and available NPK under CSA practices, which were nil under Sc1. All CSA-based scenarios attained higher enzymes activities over Sc1. CSA-based scenarios, in particular, maize-based scenarios using SDI, improved EWs’ proliferation, SOC, and nutrients storage (in soil and EWC) and showed a better choice for the IGP farmers with respect to C sequestration, soil quality, and nutrient availability.
Sustained Effects of Muscle Calpain System Genotypes on Tenderness Phenotypes of South African Beef Bulls during Ageing up to 20 Days
Authors: Basson Annie , Strydom Phillip E. , van Marle-Köster Esté , Webb Edward C. , Frylinck Lorinda
Published: March 2022

The most important factor that determines beef tenderness is its proteolytic activity, and the balance between calpain-1 protease activity and calpastatin inhibition is especially important, while contributions can also arise from calpain-2 and, possibly, calpain-3. The meat ageing process itself affects these processes. To determine whether genotypes in the calpain–calpastatin system can enhance tenderness through a 20-day ageing period, South African purebred beef bulls (n = 166) were genotyped using the Illumina BovineHD SNP BeadChip through a gene-based association analysis targeting the cast, capn3, capn2 and capn1 genes. The Warner–Bratzler shear force (WBSF) and myofibril fragment length (MFL) of Longissimus thoracis et lumborum (LTL) steaks were evaluated between d 3 and d 20 of ageing, with protease enzyme activity in the first 20 h post-mortem. Although several of the 134 SNPs are associated with tenderness, only seven SNP in the cast, capn2 and capn1 genes sustained genetic associations, additive to the ageing-associated increases in tenderness for at least three of the four ageing periods. While most genomic associations were relatively stable over time, some genotypes within the SNP responded differently to ageing, resulting in altered genomic effects over time. The level of ageing at which genomic associations are performed is an important factor that determines whether SNPs affect tenderness phenotypes.
Cinnamaldehyde Increases the Survival of Mice Submitted to Sepsis Induced by Extraintestinal Pathogenic Escherichia coli
Authors: Figueiredo Isabella F. S. , Araújo Lorena G. , Assunção Raissa G. , Dutra Itaynara L. , Nascimento Johnny R. , Rego Fabrícia S. , Rolim Carolina S. , Alves Leylane S. R. , Frazão Mariana A. , Cadete Samilly F. , da Silva Luís Cláudio N. , de Sá Joicy C. , de Sousa Eduardo M. , Elias Waldir P. , Nascimento Flávia R. F. , Abreu Afonso G.
Published: March 2022

Several natural products have been investigated for their bactericidal potential, among these, cinnamaldehyde. In this study, we aimed to evaluate the activity of cinnamaldehyde in the treatment of animals with sepsis induced by extraintestinal pathogenic E. coli. Initially, the E. coli F5 was incubated with cinnamaldehyde to evaluate the minimum inhibitory and minimum bactericidal concentration. Animal survival was monitored for five days, and a subset of mice were euthanized after 10 h to evaluate histological, hematological, and immunological parameters, as well as the presence of bacteria in the organs. On the one hand, inoculation of bacterium caused the death of 100% of the animals within 24 h after infection. On the other hand, cinnamaldehyde (60 mg/kg) was able to keep 40% of mice alive after infection. The treatment significantly reduced the levels of cytokines in serum and peritoneum and increased the production of cells in both bone marrow and spleen, as well as lymphocytes at the infection site. Cinnamaldehyde was able to reduce tissue damage by decreasing the deleterious effects for the organism and contributed to the control of the sepsis and survival of animals; therefore, it is a promising candidate for the development of new drugs.
Multidrug-Resistant Methicillin-Resistant Coagulase-Negative Staphylococci in Healthy Poultry Slaughtered for Human Consumption
Authors: Silva Vanessa , Caniça Manuela , Ferreira Eugénia , Vieira-Pinto Madalena , Saraiva Cândido , Pereira José Eduardo , Capelo José Luis , Igrejas Gilberto , Poeta Patrícia
Published: March 2022

Coagulase-negative staphylococci are commensals that are known to be prevalent in most environments, and they are also an important reservoir of antimicrobial-resistant genes. Staphylococcal infections in animal husbandry are a high economic burden. Thus, we aimed to determine the prevalence and species diversity of methicillin-resistant coagulase-negative staphylococci (MRCoNS) in poultry slaughtered for human consumption and to study the antimicrobial resistance of the isolates. Swab samples were recovered from 220 commercial chickens, homebred chickens and quails. Species identification was performed using MALDI-TOF. Antimicrobial susceptibility testing was performed by the disc diffusion method against 14 antimicrobials. The presence of antimicrobial-resistant genes was investigated by polymerase chain reaction. Totals of 11 (19.6%), 13 (20.3%), and 51 (51%) MRCoNS were isolated from commercial chickens, homebred chickens and quails, respectively. S. lentus was isolated from all homebred chickens, whereas 11 S. lentus and 2 S. urealyticus were isolated from commercial chickens. As for quails, the most prevalent MRCoNS were S. urealyticus. Almost all isolates had a multidrug-resistant profile and carried the mecA gene. Most isolates showed resistance to erythromycin, clindamycin, penicillin, tetracycline, ciprofloxacin and fusidic acid and harbored the ermA, ermB, ermC, mphC tetK, tetL, tetM and tetO genes. This study showed a frequent occurrence of multidrug resistance in MRCoNS isolated from healthy poultry in Portugal.
Antimicrobial Stewardship Using Biomarkers: Accumulating Evidence for the Critically Ill
Authors: Kyriazopoulou Evdoxia , Giamarellos-Bourboulis Evangelos J.
Published: March 2022

This review aims to summarize current progress in the management of critically ill, using biomarkers as guidance for antimicrobial treatment with a focus on antimicrobial stewardship. Accumulated evidence from randomized clinical trials (RCTs) and observational studies in adults for the biomarker-guided antimicrobial treatment of critically ill (mainly sepsis and COVID-19 patients) has been extensively searched and is provided. Procalcitonin (PCT) is the best studied biomarker; in the majority of randomized clinical trials an algorithm of discontinuation of antibiotics with decreasing PCT over serial measurements has been proven safe and effective to reduce length of antimicrobial treatment, antibiotic-associated adverse events and long-term infectious complications like infections by multidrug-resistant organisms and Clostridioides difficile. Other biomarkers, such as C-reactive protein and presepsin, are already being tested as guidance for shorter antimicrobial treatment, but more research is needed. Current evidence suggests that biomarkers, mainly procalcitonin, should be implemented in antimicrobial stewardship programs even in the COVID-19 era, when, although bacterial coinfection rate is low, antimicrobial overconsumption remains high.
Screening Repurposed Antiviral Small Molecules as Antimycobacterial Compounds by a Lux-Based phoP Promoter-Reporter Platform
Authors: Zhu Li , Lee Annie Wing-Tung , Wu Kelvin Ka-Lok , Gao Peng , Tam Kingsley King-Gee , Rajwani Rahim , Chaburte Galata Chala , Ng Timothy Ting-Leung , Chan Chloe Toi-Mei , Lao Hiu Yin , Yam Wing Cheong , Kao Richard Yi-Tsun , Siu Gilman Kit Hang
Published: March 2022

The emergence of multidrug-resistant strains and hyper-virulent strains of Mycobacterium tuberculosis are big therapeutic challenges for tuberculosis (TB) control. Repurposing bioactive small-molecule compounds has recently become a new therapeutic approach against TB. This study aimed to identify novel anti-TB agents from a library of small-molecule compounds via a rapid screening system. A total of 320 small-molecule compounds were used to screen for their ability to suppress the expression of a key virulence gene, phop, of the M. tuberculosis complex using luminescence (lux)-based promoter-reporter platforms. The minimum inhibitory and bactericidal concentrations on drug-resistant M. tuberculosis and cytotoxicity to human macrophages were determined. RNA sequencing (RNA-seq) was conducted to determine the drug mechanisms of the selected compounds as novel antibiotics or anti-virulent agents against the M. tuberculosis complex. The results showed that six compounds displayed bactericidal activity against M. bovis BCG, of which Ebselen demonstrated the lowest cytotoxicity to macrophages and was considered as a potential antibiotic for TB. Another ten compounds did not inhibit the in vitro growth of the M. tuberculosis complex and six of them downregulated the expression of phoP/R significantly. Of these, ST-193 and ST-193 (hydrochloride) showed low cytotoxicity and were suggested to be potential anti-virulence agents for M. tuberculosis.
Modeling and Simulation Process via Incremental Methods of a Production-Aimed Upper Limb Prosthesis
Authors: Torres-SanMiguel Christopher René
Published: March 2022

This research presents a numerical analysis used for designing an upper limb prosthesis with seven degrees of freedom (DOF). The process was undertaken to carry out the manufacture. The detailed methodology exposes a static structural analysis with the materials for manufacturing a prototype, the components responsible for the movement of the prosthesis subject to maximum loads during simplified routines were optimized. The results show the classification of the pieces manufactured by an additive method and those made by material removal.
Meta-Heuristic Technique-Based Parametric Optimization for Electrochemical Machining of Monel 400 Alloys to Investigate the Material Removal Rate and the Sludge
Authors: Nagarajan Vengatajalapathi , Solaiyappan Ayyappan , Mahalingam Siva Kumar , Nagarajan Lenin , Salunkhe Sachin , Nasr Emad Abouel , Shanmugam Ragavanantham , Hussein Hussein Mohammed Abdel Moneam
Published: March 2022

Electrochemical machining (ECM) is a preferred advanced machining process for machining Monel 400 alloys. During the machining, the toxic nickel hydroxides in the sludge are formed. Therefore, it becomes necessary to determine the optimum ECM process parameters that minimize the nickel presence (NP) emission in the sludge while maximizing the material removal rate (MRR). In this investigation, the predominant ECM process parameters, such as the applied voltage, flow rate, and electrolyte concentration, were controlled to study their effect on the performance measures (i.e., MRR and NP). A meta-heuristic algorithm, the grey wolf optimizer (GWO), was used for the multi-objective optimization of the process parameters for ECM, and its results were compared with the moth-flame optimization (MFO) and particle swarm optimization (PSO) algorithms. It was observed from the surface, main, and interaction plots of this experimentation that all the process variables influenced the objectives significantly. The TOPSIS algorithm was employed to convert multiple objectives into a single objective used in meta-heuristic algorithms. In the convergence plot for the MRR model, the PSO algorithm converged very quickly in 10 iterations, while GWO and MFO took 14 and 64 iterations, respectively. In the case of the NP model, the PSO tool took only 6 iterations to converge, whereas MFO and GWO took 48 and 88 iterations, respectively. However, both MFO and GWO obtained the same solutions of EC = 132.014 g/L, V = 2406 V, and FR = 2.8455 L/min with the best conflicting performances (i.e., MRR = 0.242 g/min and NP = 57.7202 PPM). Hence, it is confirmed that these metaheuristic algorithms of MFO and GWO are more suitable for finding the optimum process parameters for machining Monel 400 alloys with ECM. This work explores a greater scope for the ECM process with better machining performance.
Cold and Thermal Neutron Single Grating Dark-Field Imaging Extended to an Inverse Pattern Regime
Authors: Busi Matteo , Zdora Marie-Christine , Valsecchi Jacopo , Bacak Michael , Strobl Markus
Published: March 2022

Neutron dark-field imaging is a powerful tool for the spatially resolved characterization of microstructural features of materials and components. Recently, a novel achromatic technique based on a single absorption grating for the concurrent measurement of attenuation, dark-field and differential phase contrast was introduced. However, the range of measurable length scales of the technique in quantitative dark-field measurements appeared limited to some 10–100 nanometers, due to the relatively high spatial resolution requirement to detect the projected beam modulation. Here, we show how using grating–detector distances beyond the resolution limit for a given collimation produces a sequence of inverse and regular projection patterns and, thus, leads to a significant extension of the range of accessible length scales probed by dark-field imaging. In addition, we show that this concept can also be applied to 2D grating structures, which will enable concurrent three-fold directional dark-field measurements at a wide range of length scales. The approach is demonstrated with measurements on an electrical steel sheet sample, which confirm the validity of combining the results from the regular and inverse grating patterns.
Predicting the Fire Source Location by Using the Pipe Hole Network in Aspirating Smoke Detection System
Authors: Lee Young Man , Thien Khieu Ha , Kim Dong Woo , Kim Ji Tae , Ryou Hong Sun
Published: March 2022

The aspirating smoke detector (ASD) is one of the most critical pieces of equipment for detecting smoke in a protected area when a fire occurs. It has more advantages than a conventional smoke detector because it can be used in extreme conditions, such as cold storage facilities or hot aisle containment areas. ASD uses a fan to draw air from the protected area into the pipe network system via pipe holes. The sucked air is transported into the sensing chamber to detect smoke. If the obscuration in the sensing chamber is greater than the setpoint, the ASD will sound an alarm so that people realize there is a fire. For this reason, investigating the effect of the pipe hole network on obscuration in the ASD is critical. In this study, a Pipe Hole Network Program was developed to consider the pipe flow parameter. A numerical study based on the program and an experimental study was performed. The results showed that the numerical results had the same trend as the experimental study. The further the location of the fire source was, the lower the obscuration was. In addition, the correlation between the obscuration parameter and the fire source distance was also derived. It could be used to predict the fire source location in the aspirating smoke detection system.
Investigating the Influence of Feature Sources for Malicious Website Detection
Authors: Chaiban Ahmad , Sovilj Dušan , Soliman Hazem , Salmon Geoff , Lin Xiaodong
Published: March 2022

Malicious websites in general, and phishing websites in particular, attempt to mimic legitimate websites in order to trick users into trusting them. These websites, often a primary method for credential collection, pose a severe threat to large enterprises. Credential collection enables malicious actors to infiltrate enterprise systems without triggering the usual alarms. Therefore, there is a vital need to gain deep insights into the statistical features of these websites that enable Machine Learning (ML) models to classify them from their benign counterparts. Our objective in this paper is to provide this necessary investigation, more specifically, our contribution is to observe and evaluate combinations of feature sources that have not been studied in the existing literature—primarily involving embeddings extracted with Transformer-type neural networks. The second contribution is a new dataset for this problem, GAWAIN, constructed in a way that offers other researchers not only access to data, but our whole data acquisition and processing pipeline. The experiments on our new GAWAIN dataset show that the classification problem is much harder than reported in other studies—we are able to obtain around 84% in terms of test accuracy. For individual feature contributions, the most relevant ones are coming from URL embeddings, indicating that this additional step in the processing pipeline is needed in order to improve predictions. A surprising outcome of the investigation is lack of content-related features (HTML, JavaScript) from the top-10 list. When comparing the prediction outcomes between models trained on commonly used features in the literature versus embedding-related features, the gain with embeddings is slightly above 1% in terms of test accuracy. However, we argue that even this somewhat small increase can play a significant role in detecting malicious websites, and thus these types of feature categories are worth investigating further.