Action Patterns Research Articles

Prediction of Friction Coefficient for Ductile Cast Iron Using Artificial Neural Network Methodology Based on Experimental Investigation

The key objective of the present study is to analyze the friction coefficient and wear rate for ductile cast iron. Three different microstructures were chosen upon which to perform the experimental tests under different sliding time, load, and sliding speed conditions. These specimens were perlite + ferrite, ferrite, and bainitic. Moreover, an artificial neural network (ANN) model was developed in order to predict the friction coefficient using a set of data collected during the experiments. The ANN model structure was made up of four input parameters (namely time, load, number, and nodule diameter) and one output parameter (friction coefficient). The Levenberg–Marquardt back-propagation algorithm was applied in the ANN model to train the data using feed-forward back propagation (FFBP). The results of the experiments revealed that the coefficient of friction reduced as the sliding speed increased under a constant load. Additionally, it exhibits the same pattern of action when the test is run with a heavy load and constant sliding speed. Additionally, when the sliding speed increased, the wear rate dropped. The results also show that the bainite structure is harder and wears less quickly than the ferrite structure. Additionally, the results pertaining to the ANN structure showed that a single hidden layer model is more accurate than a double hidden layer model. The highest performance in the validation stage, however, was observed at epochs 8 and 20, respectively, for a double hidden layer and at 0.012346 for a single layer at epoch 20.

Action Rule Mining With Predications on Semantic Representations of Data

Without a doubt, the World Wide Web (WWW) has already altered the way we share knowledge. The exploitation of the web is one of the biggest challenges in the area of intelligent information management. The Semantic Web was presented to ease this situation by taking the WWW into a distributed global system for knowledge representation and computing. In this work, we study action rule mining in the semantic web data and aim to assist users in uncovering previously unknown and potentially useful workable strategies. We present rule-based action rules and object-based action rules for extracting actionable patterns from a large graph dataset without the extra step of converting graph data into transaction data.

Action Rule Mining With Predications on Semantic Representations of Data

Without a doubt, the World Wide Web (WWW) has already altered the way we share knowledge. The exploitation of the web is one of the biggest challenges in the area of intelligent information management. The Semantic Web was presented to ease this situation by taking the WWW into a distributed global system for knowledge representation and computing. In this work, we study action rule mining in the semantic web data and aim to assist users in uncovering previously unknown and potentially useful workable strategies. We present rule-based action rules and object-based action rules for extracting actionable patterns from a large graph dataset without the extra step of converting graph data into transaction data.

A Playful Approach to Household Sustainability: Results From a Pilot Study on Resource Consumption

Background. U.S. households produce a significant amount of greenhouse gas emissions, indicating a potential to reduce their carbon footprints from changing food, energy, and water (FEW) consumption patterns. Behavioral change to FEW consumption is needed, but difficult to achieve. Interactive and engaging approaches like serious games could be a way to increase awareness of possible measures, leading to more sustainable behavior at a household level. This study looks into the experiences and effects of a digital game for homeowners with the potential to reduce FEW resource consumption impacts. Intervention. In this study, we developed and implemented a digital game to explore its potential to raise awareness of the consumption and conservation of FEW resources and the efficacy of conservation messages. This study aims to measure learning outcomes from game participation and to assess the suitability of the game for informing resource conservation actions. Methods. We tested a proof-of-concept of a digital four-player game, called HomeRUN, with 28 homeowners. The data collected include homeowners’ values and preferences with regard to FEW resources. The patterns of game actions are analyzed with an emphasis on the effectiveness of conservation messaging in informing household consumption behavior. Results. About 65% of the respondents agree that they gained a better understanding of the greenhouse gas emission impacts of FEW resource consumption after playing the game. Over 57% of the respondents agree that the game experience would influence their future consumption behavior, while a quarter of the respondents are unsure. Overall, we demonstrate the HomeRUN game has potential as a tool for informing conservation efforts at a household level.

Overall structural seismic damage rapid assessment method based on period and displacement response characteristics

The seismic damage state of building structure can be rapidly evaluated by coupling effect of structural displacement response and periodic characteristics. Firstly, the fundamental period calculation formula that adapts to the deformation pattern and distribution mode of horizontal seismic action for reinforced concrete frame structure is derived. Secondly, the seismic damage assessment standard of building structure considering period variation is established. Then, the seismic damage assessment method of building structure is constructed. Finally, the seismic damage example is used to verify the established evaluation method. The results show that the established research method has high accuracy and good engineering practicability.

Actions and digital empathy in the interactive storytelling of serious games: a multimodal discourse approach

ABSTRACT This paper proposes a multimodal discourse method for analysing empathy-related actions in the interactive narratives of serious games. It first reviews recent theories of socially impactful designs in serious games, particularly the debates about whether serious games should focus on actions of tackling social issues or on the player’s emotional engagement. This paper then sets out a multimodal discourse method of event action patterns, which bridges the analyses of actions and empathy-related perspective-taking. The multimodal discourse method that we propose in this paper establishes a fine-grained semantic web, systematically tracking the three core narrative design aspects: types of event actions, character developments and the player’s participatory roles. Through analysing the empathy game That Dragon, Cancer, this paper uncovers how interactive narratives have the potential to both achieving empathetic impacts and highlighting a system of actions related to the serious issue.

The Role of Information Infrastructures in Scaling up Video Consultations During COVID-19: Mixed Methods Case Study Into Opportunity, Disruption, and Exposure.

Until COVID-19, implementation and uptake of video consultations in health care was slow. However, the pandemic created a "burning platform" for scaling up such services. As health care organizations look to expand and maintain the use of video in the "new normal," it is important to understand infrastructural influences and changes that emerged during the pandemic and that may influence sustainability going forward. This study aims to draw lessons from 4 National Health Service (NHS) organizations on how information infrastructures shaped, and were shaped by, the rapid scale-up of video consultations during COVID-19. A mixed methods case study of 4 NHS trusts in England was conducted before and during the pandemic. Data comprised 90 interviews with 49 participants (eg, clinicians, managers, administrators, and IT support), ethnographic field notes, and video consultation activity data. We sought examples of infrastructural features and challenges related to the rapid scale-up of video. Analysis was guided by Gkeredakis et al's 3 perspectives on crisis and digital change: as opportunity (for accelerated innovation and removal of barriers to experimentation), disruption (to organizational practices, generating new dependencies and risks), and exposure (of vulnerabilities in both people and infrastructure). Before COVID-19, there was a strong policy push for video consultations as a way of delivering health care efficiently. However, the spread of video was slow, and adopting clinicians described their use as ad hoc rather than business as usual. When the pandemic hit, video was rapidly scaled up. The most rapid increase in use was during the first month of the pandemic (March-April 2020), from an average of 8 video consultations per week to 171 per week at each site. Uptake continued to increase during the pandemic, averaging approximately 800 video consultations per week by March 2021. From an opportunity perspective, participants talked about changes to institutional elements of infrastructure, which had historically restricted the introduction and use of video. This was supported by an "organizing vision" for video, bringing legitimacy and support. Perspectives on disruption centered on changes to social, technical, and material work environments and the emergence of new patterns of action. Retaining positive elements of such change required a judicious balance between managerial (top-down) and emergent (bottom-up) approaches. Perspectives on exposure foregrounded social and technical impediments to video consulting. This highlighted the need to attend to the materiality and dependability of the installed base, as well as the social and cultural context of use. For sustained adoption at scale, health care organizations need to enable incremental systemic change and flexibility through agile governance and knowledge transfer pathways, support process multiplicity within virtual clinic workflows, attend to the materiality and dependability of the IT infrastructure within and beyond organizational boundaries, and maintain an overall narrative within which the continued use of video can be framed.

Cardiac arrhythmias and conduction disorders in acute poisoning with cardiotoxic substances

The study is devoted to the problems of poisoning by cardiotoxic diseases.
 The relevance of the study was confirmed by the analysis of literature containing the following information: during recent decades poisoning with cardiotoxic substances while providing medical care to patients has become the main cause of premature death worldwide.
 Currently, in a number of cases of poisoning several classes of compounds for medical and non-medical purposes with cardiotoxic effects can be found. The pattern of acute poisonings is highly dependent on different regions, especially in developed and developing countries, as well as in urban and coastal areas, and it also depends on socio-economic status, cultural practices, industrial and agricultural development in industry.
 The results obtained during the study show that the toxic effects of various classes of cardiotoxicants include direct (effects on the heart, blood vessels or nervous system) and indirect effects of the poison associated with the presence of metabolic disorders (hypoxia, acidosis, electrolyte disorders), and the severity of the manifestation of the condition determination of urgent toxic arrhythmias, which worsen the course of the toxic process and most often lead to a sudden death, which is an actual study of mechanisms of toxic rhythm and conduction disorders.
 The study shows changes in the electrocardiographic patterns and mechanisms of cardiotoxic action, which can be found in the structure of poisonings, their toxic doses (concentration).
 The purpose of this study was to study the features of rhythm and conduction in case of cardiotropic poisoning.
 In the course of the study the following scientific tasks were solved: changes in the electrocardiographic pattern and manifestations of cardiotoxic action, which were broadly found in the structure of poisoning, were established, and information about their toxic doses (concentrations) was summarized.
 In our opinion, the knowledge of signs of poisoning, topical symptoms, mechanisms of formation of their effects is the key to the implementation of measures to provide medical care.
 The results of the study include practical significance for the analysis and definition of various types of medical care in case of poisoning with cardiotoxic diseases of non-medical purposes.

Genetic Behavior of Tomato (Solanum lycopersicum L.) Germplasm Governing Heavy Metal Tolerance and Yield Traits under Wastewater Irrigation.

Wastewater irrigation is a substitute for surface water scarcity, but traces of heavy metals (HMs) result in deleterious implications for soil, crop productivity, and in humans. Crops presenting HMs tolerance in genetic behavior are important for producing tolerant genotypes cultivated under wastewater irrigation. In the first part of this experiment, the results obtained previously are re-assessed in a hydroponic system and similar patterns and concentrations of HMs are found in different tomato organs. Following this trial, the tomato's (Solanum lycopersicum L.) genetic basis of traits conferring HMs tolerance and yield are assessed when irrigated with waste or canal water. The North Carolina Mating II analysis illustrate the amount of gene action, nature, and inheritance pattern. Genetic components depict the involvement of non-additive, additive, and maternal genetic effects in HMs tolerance inheritance and yield. A noticeable increase in cumulative additive variance for the number of flowers (11,907.2) and the number of fruits (10,557.9) is recorded for tomato plants irrigated with wastewater, illustrating additive gene action. However, female and male (MSf/MSm) square ratios also show an association with cytoplasmic inheritance. For HMs tolerance, both additive and dominant variances appeared to be significant; cumulative dominance variance (4.83, 16.1, 4.69, 76.95, and 249.37) is higher compared to additive variance (0.18, 2.36, 0.19, -0.27, and 14.14) for nickel (Ni), chromium (Cr), lead (Pb), manganese (Mn), and zinc (Zn), respectively, indicating dominance gene action. The genotype RIOGRANDI accumulated and translocated fewer HMs to the aerial part of the plant compared to CLN-2418A and PB-017906, thus presenting a tolerant tomato genotype according to the hydroponic experiment. This also exhibited a differential pattern of gene action for HMs tolerance, suggesting that genotypes possess significant differences for HMs tolerance.

New opportunities and challenges of natural products research: When target identification meets single-cell multiomics.

Natural products, and especially the active ingredients found in traditional Chinese medicine (TCM), have a thousand-year-long history of clinical use and a strong theoretical basis in TCM. As such, traditional remedies provide shortcuts for the development of original new drugs in China, and increasing numbers of natural products are showing great therapeutic potential in various diseases. This paper reviews the molecular mechanisms of action of natural products from different sources used in the treatment of inflammatory diseases and cancer, introduces the methods and newly emerging technologies used to identify and validate the targets of natural active ingredients, enumerates the expansive list of TCM used to treat inflammatory diseases and cancer, and summarizes the patterns of action of emerging technologies such as single-cell multiomics, network pharmacology, and artificial intelligence in the pharmacological studies of natural products to provide insights for the development of innovative natural product-based drugs. Our hope is that we can make use of advances in target identification and single-cell multiomics to obtain a deeper understanding of actions of mechanisms of natural products that will allow innovation and revitalization of TCM and its swift industrialization and internationalization.

Fiber Identity Politics and Potential Threats

The practice of identity politics has again strengthened and dominated the socio-political discourse in this country. Identity politics that appears in all spheres, be it the political stage (elections), social and economic domains, must receive special attention for all stakeholders who still have love for the homeland and patriotism, and require a comprehensive study. This study aims to examine identity politics comprehensively regarding the root causes, forms and patterns of movement and the potential threats it carries. This study uses qualitative research methods, while the data collection techniques are carried out by exploring journals, books, and other information relevant to the study. The results of the study show that identity politics in Indonesia arises due to various factors. The basic causes of identity politics also determine the form and pattern of movements or actions of identity politics that are carried out. In the form of radical action, political reasons, namely ideology, often become the root of the problem which is then closely intertwined with rationalization of action based on identity as the cover. Identity politics is a way to mobilize support and advance the hidden agenda behind the practice of identity politics that is shown. This is of course very vulnerable to the life of the nation and state because such pragmatism will only lead the community to social conflict as a result of the strengthening of identity and self-exclusiveness sentiments or groups and, whether consciously or not, often involve acts of physical or symbolic violence.

Critical Action Among Asian and Hispanic/Latinx Youth: Identifying a Multidimensional Measure and Exploring Within-Group Differences.

Critical action-behaviors aimed at dismantling systems of oppression-must be examined within youths' racialized experiences and should incorporate cultural and sociohistorical factors. We considered an expansive list of items capturing youth behaviors to create a novel four-factor (service, community change, expression, and care) measure of critical action for Asian and Hispanic/Latinx youth. Multiple distinct profiles of critical action were identified within both racial-ethnic groups, and associations between the profiles and sociodemographic and contextual support variables were explored. Gender differences in the type of critical action were found in both racial-ethnic groups, pointing to the potential influence of gender roles on critical action among these populations. Differences in critical action patterns were also found between those born in the U.S. versus those born outside the U.S.; access to critical action may differ within racial-ethnic groups depending on birthplace and associated nuances in familial and cultural contexts. This paper demonstrated a need for attending to variation between and within groups in the study of critical action in order to effectively support racialized youth's coping within and resistance against systems of oppression.

Branding dan Pemasaran Kemplang Panggang Desa Tebing Gerinting Selatan Kecamatan Indralaya Selatan

In the context of implementing the Tridarma of Higher Education, one of them is through community service as a form of community service. This community service takes the theme of the Thematic Community Service Program "Village Branding: goes to Global" Stisipol Candradimuka Palembang with a focus on research and service, namely Entrepreneurship. This Entrepreneurship Program aims to carry out Branding and Marketing of home-based production which is one of the potential villages that can be developed in order to help increase the income of the local community, namely Branding Kemplang Baked Home Products in Tebing Gerinting Selatan Village, South Inderalaya District, Ogan Ilir Regency, South Sumatra Province. The activity begins with the socialization of marketing strategies given to home-based businesses and product packaging that will raise the business potential of the people of Tebing Gerinting Selatan Village. Marketing strategy so that their products which were previously only marketed by self-taught can expand to all regions of South Sumatra and even Globally. In compiling the results of this research and service using a qualitative approach with direct interview techniques to business actors. From the results of the analysis, it was found that several problems in product development, including home-based businesses still use conventional marketing methods and lack of innovation in terms of production, packaging, and marketing. The results of this activity are expected to change the mindset and action patterns of business actors to improve product quality, packaging and marketing strategies for Kamplang Panggang, Tebing Gerinting Selatan Village..

Yawning informs behavioural state changing in wild spotted hyaenas

Yawning is a complex behaviour linked to several physiological (e.g. drowsiness, arousal, thermoregulation) and social phenomena (e.g. yawn contagion). Being yawning an evolutionary well-conserved, fixed action pattern widespread in vertebrates, it is a valuable candidate to test hypotheses on its potential functions across the different taxa. The spotted hyaena (Crocuta crocuta), the most social and cooperative species of the Hyaenidae family, is a good model to test hypotheses on yawning correlates and significances. Through an accurate sequential analysis performed on a group of wild hyaenas, we found that yawning mainly occurred during an imminent behavioural state changing in both juveniles and adults and that seeing others’ yawn elicited a mirror response in the receiver, thus demonstrating that yawn contagion is present in this species. These results taken together suggest that yawning is linked to a behavioural state change of the yawner and that such change is caught by the observers that engage in a motor resonance phenomenon, yawn contagion, possibly effective in anticipating yawners’ motor actions. Although additional data are necessary to verify whether yawn contagion translates into subsequent motor convergence and alignment, our data suggest that both spontaneous and contagious yawning can be fundamental building blocks on the basis of animal synchronisation in highly social and cooperative species.Significant statementYawning is pervasive in many animal species, including humans. It is considered as a polyfunctional cue that has a role in regulating social interactions. While several studies focussed on yawning functions in primates, a little amount of effort was devoted to exploring this behaviour in social carnivores. We monitored a group of wild spotted hyaenas (Crocuta crocuta), which is one of the most cooperative carnivore species. In both immature and adult subjects, we found that a subject frequently changed its behavioural state after spontaneously yawning and that seeing others’ yawn elicited a mirror response in the observer. Although additional data are necessary to verify whether yawn contagion translates into subsequent motor convergence and alignment, our data suggest that both spontaneous and contagious yawning can be fundamental building blocks on the basis of animal synchronisation in highly social and cooperative species.

Uncommon Daily Life/Daily Uncommonness. Everyday Life under Conditions of Risk and Uncertainty

According to the proponents of the sociology of everyday life, the practices of everyday life maintain the order of social life. Berger and Luckmann argue that such practices are characterised by habitualness and unreflectiveness; they seem natural and self-evident, not requiring justification. However, their statement is no longer valid. It was not only the COVID-19 pandemic that violently disrupted the established order of everyday life. Even before the pandemic, processes of social change had occurred, and these processes shattered the unified vision of the world, the nomos in which all social practices found their justification. The sheer multiplicity of knowledge and belief systems that now exist, as legitimate as they are, forces individuals to be reflexive and to make choices from among different patterns of action. At the same time, new processes of change are constantly taking place that challenge the validity of previous choices. The COVID-19 pandemic did not start these processes, but it did exacerbate these processes. The question for researchers is how do individuals construct the order of their everyday life in these uncertain and risky conditions, an order whose constancy and predictability, as Giddens states, has always been a bulwark against fear and insecurity.

The Visibility of Digital Money: A Video Study of Mobile Payments Using WeChat Pay

This article analyses situated uses of digital payment platforms, contributing to the sociology of money, and digital sociology. Our data are video recordings of 256 small-scale transactions, gathered from across four Chinese cities, at grocery stores, supermarkets, street markets, restaurants, and cafes. Our focus is the visibility of money in particular circumstances associated with some WeChat payments. In these cases, payment is made visible via a confirmation screen only seen by the customer. We argue that payment applications provide a good empirical site for understanding how digital media reconfigure ‘the social’ by shaping how monetary information is seen and heard. Rather than eliminating trust, reducing transactions to impersonal semi-automated affairs, we show how mobile payments generate new and complex patterns of economic action. A nuanced language game is described that requires sellers to trust customers are acting in good faith. We show how ‘the social’ is imprinted on this contemporary monetary medium.

Fair Benchmark for Unsupervised Node Representation Learning

Most machine-learning algorithms assume that instances are independent of each other. This does not hold for networked data. Node representation learning (NRL) aims to learn low-dimensional vectors to represent nodes in a network, such that all actionable patterns in topological structures and side information can be preserved. The widespread availability of networked data, e.g., social media, biological networks, and traffic networks, along with plentiful applications, facilitate the development of NRL. However, it has become challenging for researchers and practitioners to track the state-of-the-art NRL algorithms, given that they were evaluated using different experimental settings and datasets. To this end, in this paper, we focus on unsupervised NRL and propose a fair and comprehensive evaluation framework to systematically evaluate state-of-the-art unsupervised NRL algorithms. We comprehensively evaluate each algorithm by applying it to three evaluation tasks, i.e., classification fine tuned via a validation set, link prediction fine-tuned in the first run, and classification fine tuned via link prediction. In each task and each dataset, all NRL algorithms were fine-tuned using a random search within a fixed amount of time. Based on the results for three tasks and eight datasets, we evaluate and rank thirteen unsupervised NRL algorithms.

Identifying microRNAs that drive BaP-induced pulmonary effects: Multiple patterns of mechanisms underlying activation of the toxicity pathways

MiRNAs are widely acknowledged as regulating gene expression and thus, being involved in broad biological functions, environmental responses, and the process of diseases. Epidemiology could provide exposure- or disease-relevant miRNAs, while toxicology could reveal the underlying mechanisms. Here, a new “Bottom-up” approach was proposed to identify miRNAs that are responsible for environmental exposure-induced adverse outcomes. In our previous study, 5 key toxicity pathways were established underlying BaP-induced lung diseases; further, genes from these 5 pathways that were responsive to BaP exposure in HBE-CYP1A1 cells were identified. In this study, we identified 26 miRNA:mRNA interactions during BaP exposure through RNA-sequencing using the same HBE-CYP1A1 cells. According to the expression alteration and regulatory mechanisms, we summarized 8 action patterns of miRNA:mRNA, which led to the induction of miRNAs that predominantly regulate target genes and responsible are for the pathway perturbations (as “drivers”), and miRNAs that subordinately regulate genes during pathway perturbations (as “symptoms”). 5 corresponding miRNAs: miR-3173-5p, miR-629-3p, miR-9-5p, miR-1343-3p and miR-219a-1-3p were identified as “drivers”, and were all validated with expression alteration in lung disease patients from published studies. In conclusion, this study offers a new approach to identification of epigenetic factors that may shed light on the causation of environment-related health outcomes.

Integrated Metabolome and Lipidome Strategy to Reveal the Action Pattern of Paclobutrazol, a Plant Growth Retardant, in Varying the Chemical Constituents of Platycodon Root.

Platycodon root, a medicinal food homology species which has been used in Asian countries for hundreds of years, is now widely cultivated in China. Treatment with paclobutrazol, a typical plant growth retardant, has raised uncertainties regarding the quality of Platycodon root, which have been rarely investigated. In the present study, metabolomic and lipidomic differences were revealed by ultra-high performance liquid chromatography coupled to ion mobility-quadrupole time of flight mass spectrometry (UPLC-IM-QTOF-MS). A significant decrease of platycodigenin-type saponins was observed in the paclobutrazol-treated sample. Carrying out a comprehensive quantitative analysis, the contents of total saponins and saccharides were determined to illustrate the mode of action of paclobutrazol on Platycodon root. This study demonstrated an exemplary research model in explaining how the exogenous matter influences the chemical properties of medicinal plants, and therefore might provide insights into the reasonable application of plant growth regulators.

Sustainable Innovation and Creative Behavior: the Mediating Effect of Technology Application from Early Adopters

Innovation adoption and technology application models have revolutionized the hospitality and food sectors. Innovation is very important to the sustainable development of enterprises. However, current knowledge on whether and how sustainable innovation and innovation adoption can be understood from the perspective of technology application behavior has not been examined empirically. Based on decision-making levels derived from the attitude-implementation-confirmation (A-I-C) framework and following rule conditions on front- and back-of-house processes, the aim of this study is to provide practical recommendations for the establishment of a pattern of green innovation action that influences the implementation of innovation among early adopters in the restaurant industry. Using 499 questionnaire responses and diverse statistical methods, we verify that the effect of innovation adoption is significant and positive on sustainable innovation, and the effects of innovation adoption and sustainability are both significant and positive on technology application and behavior, respectively. Moreover, the effects of technology application are significant and positive on behavior and mediate the link between innovation adoption and behavior. Finally, technology application is modestly moderated by green resource motivation techniques (GrRMT) to influence behavior. The empirical results proved that innovation adoption, sustainable innovation, technology application and GrRMT improve the mechanism of creative behavior in the food/ hospitality sector.