Interaction Patterns Research Articles

When Learner-Centered Teaching and Learning Goes Online: Zooming into Linear Algebra Tutorials During the Pandemic

AbstractThe COVID-19 pandemic shifted higher education online, drawing attention to synchronous learning and instruction on digital communication platforms. Learner-centered teaching practices in the tertiary level, such as mathematical discussions, have been shown to benefit student learning. The interactions involved in online synchronous mathematical discussions have been studied less. Most research taps into these aspects drawing on students’ academic outcomes and reflective interviews. This study explores instructional practices as they unfold online, with a focus on student-instructor and student-student interactions. We zoom-in to online synchronous teaching and learning processes on a popular communication platform by analyzing Linear Algebra tutorials in the first pandemic year. Using the commognitive framework, we characterize instructional interactions with the construct of a learning-teaching agreement. The analysis resulted in three interactional patterns, where in all cases, the tutorial transformed at some point to the one dominated by the instructor.

A Wizard of Oz Study of Guidance Strategies and Dynamics.

Co-adaptive guidance in visual analytics is a mixed-initiative process in which both the user and the system work together to support each other in solving a given analysis task. While previous studies show the effectiveness of guidance, the impact of guidance design decisions (e.g., the suggestions' timing, contextualization, or adaptation) and misguidance often remain under-investigated. To investigate these aspects and examine a variety of guidance interaction patterns in a realistic analysis scenario, we present a Wizard of Oz (WOz) study setup in which pairs of participants take the user's and the system's roles, respectively. As users perform their analysis tasks, they are observed by wizards who provide just-in-time guidance as they see fit. Moreover, we designed the study so that wizards would occasionally and unknowingly provide misguidance during the analysis to investigate the users' confidence in guidance systems. We recruited two groups of participants (12 wizards and 12 users) and paired each participant with two from the other group, obtaining 48 observations. We report insights on interactions between users and wizards. By analyzing these interaction dynamics and the guidance strategies the wizards apply, we derive recommendations for implementing and evaluating future co-adaptive guidance systems.

Understanding the Competition and Cooperation between Dockless Bike-Sharing and Metro Systems in View of Mobility

The advent of dockless bike-sharing (DBS) represents an effective solution to enhance public transportation usage. However, despite growing interest in integrating DBS with metro systems, comprehensive studies on their competitive and cooperative relationships remain limited. This study aims to analyze the spatial, temporal, and mobility characteristics of metro-related DBS to explore integration opportunities. Initially, three modes of interaction between DBS and metros are identified: strong competition, weak competition, and feeder relationships. Subsequently, based on these relationships, the analysis focuses on distance, spatio-temporal patterns, and the scope of DBS activities. Results from Beijing indicate that metro-associated DBS primarily serves as “last-mile” solutions without significant short-range competition with metro systems. Strongly competitive relationships, on the other hand, are interaction patterns due to the dense overlay of metro stations and inconvenient transfer facilities and are mainly used for non-commuting purposes. Furthermore, weakly competing and feeder DBS systems exhibit similar commuting patterns, highlighting bicycling as a viable alternative to walking within metro catchment areas and that metro catchment areas should be adapted to bicycling. Mobility communities, identified as tightly integrated cycling hubs, are proposed as strategic dispatch zones to manage peak demands and reduce operational strain on DBS fleets. These findings deepen our understanding of DBS and metro system interactions, offering insights to optimize public transport operations and enhance urban mobility solutions.

Cognitive and sociolectal constraints on the theme-recipient alternation: evidence from Mandarin

Abstract We explore the cognitive and sociolectal constraints that probabilistically regulate the theme-recipient (or “dative”) alternation in modern varieties of Mandarin and how these constraints interact with each other. Based on an extensively annotated corpus dataset and regression modeling, we found that the probabilistic grammar that shapes the theme-recipient alternation is fundamentally stable across regional and genre varieties of Mandarin. This general stability notwithstanding, significant variation regarding the importance of cognitive constraints across different sociolectal constraints is detected. Crucially, the analysis revealed that recipient syntactic complexity has a much greater effect in Taiwan Mandarin than in Mainland Mandarin. The effect of theme concreteness is also found to be significantly reduced in telephone conversations compared to broadcast news. Corpus-based findings were cross-validated using a psycholinguistic rating task experiment. While the results of the two approaches demonstrate substantial overlap, they also exhibit diverging patterns at the level of interaction between regional variety and recipient complexity, potentially indicating nuanced differences between the two approaches. The findings provide evidence that interactional patterns between cognitive and sociolectal constraints on probabilistic grammatical alternations may be shared across languages, despite their distinct socio-cultural factors that shape variation in human interaction.

Relations between motivation, social and emotional learning (SEL), and English learning achievements in Hong Kong primary schools

ABSTRACT Against the backdrop of declining motivation and growing social and emotional challenges in English learning experienced by Hong Kong primary school students, the study aimed to profile an interactive pattern between relevant motivational beliefs (i.e., self-efficacy, interest, and growth mindset), social and emotional learning (SEL) skills and English learning achievements. Data was collected from 913 4th graders with questionnaires and an English test. Results indicated a medium-high level of motivation among the participants, and a high level of self-awareness and social awareness skills but a medium level of self-management and social management skills in terms of SEL. More importantly, structural equation modeling (SEM) analyses confirmed the intricate interplay where the motivational beliefs predicted English learning achievements through the mediation of self-awareness and self-management skills. Our findings also underscore the relatively higher importance of interest and growth mindset than self-efficacy in English learning for young children. Pedagogical implications are discussed.

Other-correction and epistemic imbalances in teacher–student interactions

Other-correction is a ubiquitous phenomenon in language, and has been extensively studied in conversation analysis and pragmatics. Nevertheless, the conditions of its occurrence still remain unclear. Based on Heritage’s theory of epistemics, the study unveils four distinct epistemic interaction patterns in which other-correction takes place, and endeavours to elucidate their associations with trouble sources, correction strategies, and correction positions. Empirical findings indicate that different epistemic interaction patterns of other-correction exhibit no discernible link with trouble sources, but manifest a statistically significant correlation with correction strategies and correction positions.

Structure-based mapping of the histone-binding pocket of KDM4D using functionalized tetrazole and pyridine core compounds

KDM4 histone demethylases became an exciting target for inhibitor development as the evidence linking them directly to tumorigenesis mounts. In this study, we set out to better understand the binding cavity using an X-ray crystallographic approach to provide a detailed landscape of possible interactions within the under-investigated region of KDM4. Our design strategy was based on utilizing known KDM binding motifs, such as nicotinic acid and tetrazolylhydrazides, as core motifs that we decided to enrich with flexible tails to map the distal histone binding site. The resulting X-ray structures of the novel compounds bound to KDM4D, a representative of the KDM4 family, revealed the interaction pattern with distal residues in the histone-binding site. The most prominent protein rearrangement detected upon ligand binding is the loop movement that blocks the accessibility to the histone binding site. Apart from providing new sites that potential inhibitors can target, the novel compounds may prove helpful in exploring the capacity of ligands to bind in sites distal to the cofactor-binding site of other KDMs or 2-oxoglutarate (2OG)-dependent oxygenases. The case study proves that combining a strong small binding motif with flexible tails to probe the binding pocket will facilitate lead discovery in classical drug-discovery campaigns, given the ease of accessing X-ray quality crystals.

Analysing social media with an Improved K-Means Clustering Algorithm

Nowadays, sharing human social behavior and growing a multi-user network requires the use of social media. Analysis of social media provides a valuable opportunity to study human social activity at scale. People often bring and talk about different kind of topics on social media platforms. depending on which, discussions are made to show the positive as well dis positives ways. This is an interesting point about using social media. There is a great deal of information about the type and substance of these discussion holography’s that informs us more broadly around patterns in social media interactions, and how content flows between individuals. Data mining techniques exists which can be utilized to crunch out user information from social media and relationships existing within the network. However, state of the art methods often fail to model user communities and their behaviors at a correct level. To solve this problem and help successfully do the grouping of related information, in our work here we present an enhanced fuzzy means clustering approach. Using this technique reduces the creation and time complexity of clusters, resulting in higher quality group outcomes. Our proposed system aims at mitigating the problems as described above by introducing a scalable and effective solution for real-time cluster social media data.

Mechanistic insight into microbial interaction and metabolic pattern of anammox consortia on surface-modified biofilm carrier with extracellular polymeric substances

The extremely slow growth rate of anaerobic ammonia oxidation (anammox) bacteria limits full-scale application of anammox process worldwide. In this study, extracellular polymeric substances (EPS)-coated polypropylene (PP) carriers were prepared for biofilm formation. The biomass adhesion rate of EPS-PP carrier was 12 times that of PP carrier, and EPS-PP achieved significant enrichment of E. coli BY63. The 120-day continuous flow experiment showed that the EPS-PP carrier accelerated the formation of anammox biofilm, and the nitrogen removal efficiency increased by 10.5 %. In addition, the abundance of Candidatus Kuenenia in EPS-PP biofilm was 27.1%. Simultaneously, amino acids with high synthesis cost and the metabolites of glycerophospholipids related to biofilm formation on EPS-PP biofilm were significantly up-regulated. Therefore, EPS-PP carriers facilitated the rapid formation of anammox biofilm and promoted the metabolic activity of functional bacteria, which further contributed to the environmental and economic sustainability of anammox process.

Long-term exposure to air pollution, road traffic noise and greenness, and incidence of myocardial infarction in women

BackgroundEmerging evidence shows that long-term exposure to air pollution, road traffic noise, and greenness can each be associated with cardiovascular disease, but only few studies combined these exposures. In this study, we assessed associations of multiple environmental exposures and incidence of myocardial infarction using annual time-varying predictors. Materials and MethodsIn a population-based cohort of 20,407 women in Sweden, we estimated a five-year moving average of residential exposure to air pollution (PM2.5, PM10 and NO2), road traffic noise (Lden), and greenness (normalized difference vegetation index, NDVI in 500 m buffers), from 1998 to 2017 based on annually varying exposures and address history. We used adjusted time-varying Cox proportional hazards regressions to estimate hazard ratios (HR) and 95 % confidence intervals (95 % CI) of myocardial infarction per interquartile range (IQR). Furthermore, we investigated interactions between the exposures and explored potential vulnerable subgroups. ResultsIn multi-exposure models, long-term exposure to greenness was inversely associated with incidence of myocardial infarction (HR: 0.89, 95 % CI: 0.80–0.99 per IQR NDVI increase). Stronger associations were observed in some subgroups, e.g. among women with low attained education and in overweight (BMI ≥ 25 kg/m2) compared to their counterparts. For air pollution, we observed a tendency of an increased risk of myocardial infarction in relation to PM2.5 (HR 1.07; 95 % CI 0.93–1.23) and the association appeared stronger in women with low attained education (HR 1.30; 95 % CI 1.06–1.58). No associations were observed for PM10, NO2 or road traffic noise. Furthermore, there were no clear interaction patterns between the exposures. ConclusionOver a 20-year follow-up period, in multi-exposure models, we found an inverse association between residential greenness and risk of myocardial infarction among women. Furthermore, we observed an increased risk of myocardial infarction in relation to PM2.5 among women with low attained education. Road traffic noise was not associated with myocardial infarction.

장 이론(Field theory)을 이용한 청년아파트 입주자 커뮤니케이션 방법에 관한 연구

This study analyzes Chinese representative rental youth apartments based on Field theory, examining the correlation between these apartments and their fields. The purpose of this study is to analyze the influence of spatial design of projects on interaction patterns and communication modes among tenants through the field theory. First, it explores the relationship between Field theory's concepts and characteristics, applying the relationship between field capital and practice to rental youth apartments. It then examines how project background, space structure, and field relationships impact residents' social behavior. Findings indicate that the rules of the field in rental youth apartments influence social methods, with functional diversity, shared spaces, and enhanced transitions between areas increasing residents' social willingness.

Discursive Interaction and Agency in Transitional Justice: A Conversation Analysis Perspective

ABSTRACT The article presents discursive interaction as an analytical framework for capturing agency in transitional justice (TJ). Embedded in the paradigm of Conversation Analysis, which foregrounds the interactive nature of communication, the framework sets out how the exercise of agency is facilitated or constrained at the micro level of talk in conversational sequences. The article shifts attention to the mechanics of interactions in TJ, which are demonstrated empirically with patterns of interactions in the Croatian Parliament. The reconceptualization of agency based on the systematic analysis of how speakers engage with each other advances emerging theories of interactive TJ both conceptually and methodologically.

One Journal, Different Practices: A Corpus-Based Study of Interactive Metadiscourse in Applied Linguistics

Abstract Research articles are a primary medium for scholars to communicate with disciplinary community, but there is little evidence suggesting how much writing practices on different research subjects within a discipline diverge in a single journal. This study remedies the oversight by comparing the use of interactive metadiscourse in the papers of Applied Linguistics on language acquisition and discourse analysis. Based on a corpus of 30 research articles on each research subject, results show that writers in language acquisition make a significantly more frequent use of additive and consequential transitional markers, reformulators, and non-integral citations. However, discourse analysts prefer to invest in exemplifiers, linear and non-linear references and topic shifts. All the differences can be attributable to the characteristics of disciplinary research paradigms, which lead to different knowledge-making and interactive patterns in academic writing. The findings offer empirical evidence to the rhetorical function of metadiscourse in constructing disciplinary knowledge, and raise pedagogical implications for EAP instructors to help scholars in applied linguistics increase international publications.

Moracin Flavonoids-based Virtual Screening Using Extended Reduced Graph Fingerprints Pharmacophore for COX-1 and PDES Targeting in Breast Cancer

In order to create successful treatments for breast cancer, it is crucial to understand the binding interactions between flavonoids and phosphodiesterase (PDEs) and cyclooxygenase 1 (COX-1). This study uses computational methods to achieve just that. For the purpose of treating breast cancer, this study offers a thorough computational approach for finding possible COX-1 and PDEs inhibitors. Starting with the selection of bioactive compounds from the ChMBI database, the study makes use of a combination of pharmacophore-based and structural techniques. To perform molecular docking simulations with the indicated medicines, the PDB-REDO refined PDE4B2B and human COX-1 crystal structure were utilized. The binding affinities and interaction patterns of particular drugs with the COX-1 and PDEs are revealed by molecular docking simulations performed with the AutoDock program. The virtual screening results indicate that compounds with attractive interaction patterns, high binding affinities, and good structural compatibility could be good lead candidates. ADMET lab 2.0 tool for filtration was used to guarantee safety and effectiveness, offering information on the toxicity profile and pharmacokinetic characteristics of the chemical compound. Across numerous toxicity classes and endpoints, the chosen chemical, moracin C (C19H18O4), shows an anticipated inactivity and a largely good safety profile. Although immunotoxicity is anticipated, the overall low likelihood points to a comparatively modest risk. Moracin C has the potential to be developed into a medication, according to physicochemical and pharmacokinetic evaluations

Discovery of Mitogen-Activated Protein Kinase for Melanoma Using Melphalan Based Hybrid Classic 3-Point Pharmacophore Virtual Screening and Molecular Docking Approach

Melanoma, a highly aggressive type of skin cancer, poses a significant health risk due to its proclivity for metastasis and poor response to conventional treatments. Mutations in the MEPK are one of the key molecular alterations driving melanoma progression, resulting in constitutive activation of the MAP2K signaling pathway. Targeting this pathway, specifically the MAP2K, has emerged as a promising approach to melanoma treatment. This study investigates the therapeutic potential of Mitogen-activated protein kinase, which are compounds designed to inhibit the abnormal activity of mutated MEK, disrupting the oncogenic signaling cascade and stopping melanoma progression. The ChEMBL 2D database was used to conduct a comprehensive pharmacophore-based screening to identify potential mitogen-activated protein kinase with the desired molecular properties. Afterwards the initial screening, selected compounds underwent rigorous molecular docking studies to verify their binding affinity and interaction patterns with the MAP2K substance. Among the compounds tested, CHEMBL852 (Melphalan), CHEMBL250892(R)-Melphalan and CHEMBL1200863 (Metyrosine) had particularly high binding affinities, indicating potential efficacy as mitogen-activated protein kinase. Toxicity tests were carried out to assess the safety profiles of these compounds. Notably, metyrosine had a favorable toxicity profile across multiple endpoints, including hepatotoxicity, carcinogenicity, immunotoxicity, and cytotoxicity, indicating its potential as a safer therapeutic candidate. Metyrosine pharmacokinetics were further evaluated using ADME studies, which demonstrated its high water solubility and moderate lipophilicity, indicating favorable drug-like properties. These findings suggest that metyrosine may have higher bioavailability and fewer side effects than other potential inhibitors. Subsequently, this study identifies promising lead compounds, specifically metyrosineas, potential candidates for the research and development of novel mitogen-activated protein kinase for melanoma therapy. These compounds require additional experimental validation, optimization, and preclinical research to determine their therapeutic efficacy, safety, and potential for clinical application. This study highlights the importance of targeted therapies in the growing melanoma treatment landscape, paving the way for the development of novel strategies to combat this devastating disease.

Cellular interactions and evolutionary origins of endosymbiotic relationships with ciliates.

As unicellular predators, ciliates engage in close associations with diverse microbes, laying the foundation for the establishment of endosymbiosis. Originally heterotrophic, ciliates demonstrate the ability to acquire phototrophy by phagocytizing unicellular algae or by sequestering algal plastids. This adaptation enables them to gain photosynthate and develop resistance to unfavorable environmental conditions. The integration of acquired phototrophy with intrinsic phagotrophy results in a trophic mode known as mixotrophy. Additionally, ciliates can harbor thousands of bacteria in various intracellular regions, including the cytoplasm and nucleus, exhibiting species specificity. Under prolonged and specific selective pressure within hosts, bacterial endosymbionts evolve unique lifestyles and undergo particular reductions in metabolic activities. Investigating the research advancements in various endosymbiotic cases within ciliates will contribute to elucidate patterns in cellular interaction and unravel the evolutionary origins of complex traits.

Peran Psikologi Manajemen Dalam Membentuk Keterikatan Dan Motivasi Kinerja Organisasi

Management psychology is a management discipline that uses a psychological approach to understand the personality of each person in an organization. Psychological factors influence individual performance, communication patterns, and interactions in the work environment. The aim of this research is to explain the role of managerial psychology in shaping engagement and motivation for organizational performance. This research uses a literature review method from various books, articles and research reports. The results of the literature review conducted show that a supportive work environment can only be built through good leadership practices. Good leadership practices can be identified from how leaders manage communication and interaction patterns to meet the needs and expectations of each individual. These needs and expectations are met through a fair and humane approach to all members, clear career paths, rewards for work performance, quality development programs, objective job evaluations, and follow-up on job evaluation results. Leaders cannot create a comfortable work environment unless they earn the trust and loyalty of members. Trust can only be obtained when leaders care about all their members, are willing to accept opinions and suggestions, and are willing to share experiences with their members.

Employing advanced computational drug discovery techniques to identify novel inhibitors against ML2640c protein: a potential therapeutic approach for combatting leprosy.

Leprosy, caused by Mycobacterium leprae, remains a significant global health challenge, necessitating innovative approaches to therapeutic intervention. This study employs advanced computational drug discovery techniques to identify potential inhibitors against the ML2640c protein, a key factor in the bacterium's ability to infect and persist within host cells. Utilizing a comprehensive methodology, including virtual screening, re-docking, molecular dynamics simulations, and free energy calculations, we screened a library of compounds for their interaction with ML2640c. Four compounds (24349836, 26616083, 26648979, and 26651264) demonstrated promising inhibitory potential, each exhibiting unique binding energies and interaction patterns that suggest a strong likelihood of disrupting the protein function. The study highlights the efficacy of computational methods in identifying potential therapeutic candidates, presenting compound 26616083 as a notably potent inhibitor due to its excellent binding affinity and stability. Our findings offer a foundation for future experimental validation and optimization, marking a significant step forward in the development of new treatments for leprosy. This research not only advances the fight against leprosy but also showcases the broader applicability of computational drug discovery in tackling infectious diseases.

Temporal variations of bacterial and eukaryotic community in coastal waters—implications for aquaculture

Despite increased attention to the aquaculture environment, there is still a lack of understanding regarding the significance of water quality. To address this knowledge gap, this study utilized high-throughput sequencing of 16S rRNA and 18S rRNA to examine microbial communities (bacteria and eukaryotes) in coastal water over different months through long-term observations. The goal was to explore interaction patterns in the microbial community and identify potential pathogenic bacteria and red tide organisms. The results revealed significant differences in composition, diversity, and richness of bacterial and eukaryotic operational taxonomic units (OTUs) across various months. Principal coordinate analysis (PCoA) demonstrated distinct temporal variations in bacterial and eukaryotic communities, with significant differences (P = 0.001) among four groups: F (January-April), M (May), S (June–September), and T (October-December). Moreover, a strong association was observed between microbial communities and months, with most OTUs showing a distinct temporal preference. The Kruskal–Wallis test (P < 0.05) indicated significant differences in dominant bacterial and eukaryotic taxa among months, with each group exhibiting unique dominant taxa, including potential pathogenic bacteria and red tide organisms. These findings emphasize the importance of monitoring changes in potentially harmful microorganisms in aquaculture. Network analysis highlighted positive correlations between bacteria and eukaryotes, with bacteria playing a key role in network interactions. The key bacterial genera associated with other microorganisms varied significantly (P < 0.05) across different groups. In summary, this study deepens the understanding of aquaculture water quality and offers valuable insights for maintaining healthy aquaculture practices.Key points• Bacterial and eukaryotic communities displayed distinct temporal variations.• Different months exhibited unique potential pathogenic bacteria and red tide organisms.• Bacteria are key taxonomic taxa involved in microbial network interactions.

Identification of novel PD-1/PD-L1 small molecule inhibitors: virtual screening, synthesis and in vitro characterisation

The PD-1/PD-L1 pathway is considered as one of the most promising immune checkpoints in tumour immunotherapy. However, researchers are faced with the inherent limitations of antibodies, driving them to pursue PD-L1 small molecule inhibitors. Virtual screening followed by experimental validation is a proven approach to discover active compounds. In this study, we employed multistage virtual screening methods to screen multiple compound databases to predict new PD-1/PD-L1 ligands. 35 compounds were proposed by combined analysis of fitness scores, interaction pattern and MM-GBSA binding affinities. Enzymatic assay confirmed that 10 out of 35 ligands were potential PD-L1 inhibitors, with inhibitory rate higher than 50% at the concentration of 30 µM. Among them, ZDS20 was identified as the most effective inhibitor with low micromolar activity (IC50 = 3.27 μM). Altogether, ZDS20 carrying novel scaffold was identified and could serve as a lead for the development of new classes of PD-L1 inhibitors.