Common Interaction Patterns Research Articles

EFL Classroom Interaction through Contextual Teaching and Learning: A Qualitative Study

Contextual teaching and learning (CTL) and classroom interaction are closely intertwined and have a significant influence on each other. The latter enables students to ask questions, seek clarifications, and receive immediate feedback. This qualitative research aimed to explore classroom interaction and the various patterns of interaction among students in an English as a Foreign Language (EFL) class using CTL as the teaching approach. Data were collected through observations, video recordings, and questionnaires, which were then analyzed using a series of stages, namely data reduction, data display, categorization, and drawing conclusion. The findings revealed that classroom interaction occurred in three phases: pre, whilst, and post-activities. The study also unveiled three types of interaction patterns, namely clarification requests, mime, and confirmation checks. The percentage of interaction between the teacher and students was 94.28%; between students and the teacher was 82.85%; and between students themselves was 88.57%. The most common interaction patterns were clarification requests (80%), mime (71.42%), and confirmation checks (65.71%). These results indicate that the teacher effectively implemented CTL in the EFL teaching and learning process, fostering active and communicative engagement between the teacher and students. Future researchers are encouraged to explore the implementation of CTL components in classroom interactions within English language teaching activities

НОВЫЕ ДАННЫЕ О НЕОЛИТИЧЕСКОМ ГОНЧАРСТВЕ НИЖНЕГО ПОВОЛЖЬЯ

The article presents data on newly discovered ceramic complexes obtained during archaeological research of the Neolithic sites of the Lower Volga region (Taskuduk, Priozernaya, Algay) in 2021-2022. The results of statistical, morphological and technical-technological analysis of ceramics made it possible to compare the ancient pottery production in different landscape zones of the Lower Volga region: the semi-desert Northern Caspian region and the steppe Lower Volga region. New radiocarbon data obtained at the Isotope Research Laboratoryof the Russian State Pedagogical University in the name of A.I. Herzen (St. Petersburg), and drawing analogies with other well-known sites in the region (Tenteksor, Zhe-Kalgan I, Varfolomeevskaya site) allow us to consider the newly discovered complexes as simultaneous and attribute them to the Late Neolithic.Morphological analysis of pottery complexes belonging to different cultures made it possible to reveal both common features (shape of vessels, flatness, decoration of vessels with pricking and indentation, presence of thickening on the inside of the rims) and differences (shape of pricks, ornamental compositions and motifs). The Neolithic materials of the Lower Volga region can be united within the framework of the Lower Volga cultural-historical community (LVCC) with division into regional cultures: Orlovskaya, Dzhangar, Kairshak-Tenteksor (Seroglazovskaya), which have signs of a common origin, common patterns of development and cultural interaction during all the Neolithic. The researchers revealed the existence of an early Neolithic center of the origin of pottery in the Lower Volga region, traced its evolutionary development and regional characteristics, reconstruct the archaic (pre-pottery) ideas of the ancient population about silts as a raw material for the production of dishes. In contrast to the Northern Caspian, where archaic traditions of silt selection were preserved even at the late stage of the Neolithic, in the steppe Volga region the new types of raw materials, such as silty clays and clays, appeared simultaneously with the traditional types and then became widespread. Identification of the causes of this phenomenon (climate changes or the emergence of new groups of the Neolithic population) requires further research.

Atligator Web: A Graphical User Interface for Analysis and Design of Protein-Peptide Interactions.

A key functionality of proteins is based on their ability to form interactions with other proteins or peptides. These interactions are neither easily described nor fully understood, which is why the design of specific protein-protein interaction interfaces remains a challenge for protein engineering. We recently developed the software ATLIGATOR to extract common interaction patterns between different types of amino acids and store them in a database. The tool enables the user to better understand frequent interaction patterns and find groups of interactions. Furthermore, frequent motifs can be directly transferred from the database to a user-defined scaffold as a starting point for the engineering of new binding capabilities. Since three-dimensional visualization is a crucial part of ATLIGATOR, we created ATLIGATOR web-a web server offering an intuitive graphical user interface (GUI) available at https://atligator.uni-bayreuth.de. This new interface empowers users to apply ATLIGATOR by providing easy access with having all parts directly connected. Moreover, we extended the web by a design functionality so that, overall, ATLIGATOR web facilitates the use of ATLIGATOR with a more intuitive UI and advanced design options.

EIF3 Interacts with Selenoprotein mRNAs.

The synthesis of selenoproteins requires the co-translational recoding of an in-frame UGASec codon. Interactions between the Selenocysteine Insertion Sequence (SECIS) and the SECIS binding protein 2 (SBP2) in the 3′untranslated region (3′UTR) of selenoprotein mRNAs enable the recruitment of the selenocysteine insertion machinery. Several selenoprotein mRNAs undergo unusual cap hypermethylation and are not recognized by the translation initiation factor 4E (eIF4E) but nevertheless translated. The human eukaryotic translation initiation factor 3 (eIF3), composed of 13 subunits (a-m), can selectively recruit several cellular mRNAs and plays roles in specialized translation initiation. Here, we analyzed the ability of eIF3 to interact with selenoprotein mRNAs. By combining ribonucleoprotein immunoprecipitation (RNP IP) in vivo and in vitro with cross-linking experiments, we found interactions between eIF3 and a subgroup of selenoprotein mRNAs. We showed that eIF3 preferentially interacts with hypermethylated capped selenoprotein mRNAs rather than m7G-capped mRNAs. We identified direct contacts between GPx1 mRNA and eIF3 c, d, and e subunits and showed the existence of common interaction patterns for all hypermethylated capped selenoprotein mRNAs. Differential interactions of eIF3 with selenoprotein mRNAs may trigger specific translation pathways independent of eIF4E. eIF3 could represent a new player in the translation regulation and hierarchy of selenoprotein expression.

IRF SEQUENCES AND SPACE FOR PARTICIPATION IN EMI CLASSROOM INTERACTION: A CASE STUDY AT HANOI NATIONAL UNIVERSITY OF EDUCATION

Initiation-response-feedback, or IRF, is a pattern of information exchange between the teacher and the learner. The teacher initiates first, then the learner responds, and then the teacher gives feedback. IRF is widely known as one of the most common patterns of classroom interaction. The study seeks to examine teachers’ questions and their use of classroom discourse in IRF sequences and how teachers offer space for participation in English as Medium of Instruction (EMI) classroom interaction at Hanoi National University of Education (HNUE). Collected data include classroom observations, audio and video recordings of EMI lessons, and field notes for conversation and corpus analyses. The study findings suggest that the teachers’ use of classroom language and their interaction practices could facilitate the learners’ participation in EMI classroom interaction. Therefore he study discusses pedagogical implications for EMI teaching practices and EMI teacher education.

АНАЛІЗ ПРОЦЕСУ ГАЛЬМУВАННЯ КОЛІСНИХ ТРАНСПОРТНИХ ЗАСОБІВ В УМОВАХ БОРТОВОЇ НЕРІВНОСТІ ГАЛЬМІВНИХ МОМЕНТІВ

The article is devoted to the study of the dynamics of curvilinear motion and course stability of wheeled vehicles during braking in conditions of onboard uneven braking torques. The object of the study – wheeled vehicle, the braking of which is investigated on dry, wet and slippery roads. 192 The purpose of the work is to develop methods of modeling and analysis of the braking process of the wheeled vehicle in the conditions of onboard inequality of braking moments. Research method – mathematical and computer modeling of a dynamic system. A mathematical model is proposed, which allows to investigate the occurrence of curvilinear motion (skid) of wheeled vehicle during braking and to analyze how the inequality of braking moments on the left and right wheels of wheeled vehicle affects the parameters of its movement. During braking, significant longitudinal and transverse reactions occur in the contact of the wheels with the road, which cause significant slippage of the wheels in the appropriate directions. Therefore, when determining the transverse reaction that occurs in the contact of wheels with the road, preference in the mathematical model is given not to the classical theory of wheel deflection, but to the concept of the common nature and identical patterns of interaction of the wheel with the road in both longitudinal and transverse directions. Within the framework of the mentioned concept, quantitative research has clarified the physical processes that occur when the brake wheel interacts with the road. The article investigates the influence of the onboard inequality of braking moments on the course angle during braking of a wheeled vehicle. Studies have identified the causes of the variable by the sign and the oscillating nature of the change in time of the course angle of the vehicle during braking, which complicates the driver to carry out the driving process. The results obtained in the article actualize before the designers of wheeled vehicles the question of increasing the stability of the characteristics of the brake mechanisms and the widespread use of automatic gap regulators in the friction pairs of brakes. Predictive assumptions about the development of the object of study – the development of databases to clarify the regulatory documents on the allowable values of on-board inequality of braking torques for different categories of wheeled vehicles. KEY WORDS: WHEELED VEHICLES, BRAKING PROCESS, MATHEMATICAL MODEL, COMPUTER SIMULATION, COURSE STABILITY

TRPM7 N-terminal region forms complexes with calcium binding proteins CaM and S100A1

Transient receptor potential melastatin 7 (TRPM7) represents melastatin TRP channel with two significant functions, cation permeability and kinase activity. TRPM7 is widely expressed among tissues and is therefore involved in a variety of cellular functions representing mainly Mg2+ homeostasis, cellular Ca2+ flickering, and the regulation of DNA transcription by a cleaved kinase domain translocated to the nucleus. TRPM7 participates in several important biological processes in the nervous and cardiovascular systems. Together with the necessary function of the TRPM7 in these tissues and its recently analyzed overall structure, this channel requires further studies leading to the development of potential therapeutic targets. Here we present the first study investigating the N-termini of TRPM7 with binding regions for important intracellular modulators calmodulin (CaM) and calcium-binding protein S1 (S100A1) using in vitro and in silico approaches. Molecular simulations of the discovered complexes reveal their potential binding interfaces with common interaction patterns and the important role of basic residues present in the N-terminal binding region of TRPM.

Event detection in temporal social networks using a higher-order network model.

Event detection is one of the most important areas of complex network research. It aims to identify abnormal points in time corresponding to social events. Traditional methods of event detection, based on first-order network models, are poor at describing the multivariate sequential interactions of components in complex systems and at accurately identifying anomalies in temporal social networks. In this article, we propose two valid approaches, based on a higher-order network model, namely, the recovery higher-order network algorithm and the innovation higher-order network algorithm, to help with event detection in temporal social networks. Given binary sequential data, we take advantage of chronological order to recover the multivariate sequential data first. Meanwhile, we develop new multivariate sequential data using logical sequence. Through the efficient modeling of multivariate sequential data using a higher-order network model, some common multivariate interaction patterns are obtained, which are used to determine the anomaly degree of a social event. Experiments in temporal social networks demonstrate the significant performance of our methods finally. We believe that our methods could provide a new perspective on the interplay between event detection and the application of higher-order network models to temporal networks.

Exploring How Older Adults Use a Smart Speaker-Based Voice Assistant in Their First Interactions: Qualitative Study.

BackgroundSmart speaker–based voice assistants promise support for the aging population, with the advantages of hands-free and eyes-free interaction modalities to handle requests. However, little is known about how older adults perceive the benefits of this type of device.ObjectiveThis study investigates how older adults experience and respond to a voice assistant when they first interact with it. Because first impressions act as strong predictors of the overall attitude and acceptability of new technologies, it is important to understand the user experiences of first exposure.MethodsWe conducted semistructured interviews with 18 people 74 years and older who had never used a smart speaker before, investigating the patterns of use, usability issues, and perspectives that older adults have when using a voice assistant for the first time.ResultsThe overall first response to a voice assistant was positive, thanks to the simplicity of a speech-based interaction. In particular, a positive and polite response to complete the interaction with a voice assistant was prevalent, such as expressing gratitude or giving feedback about the quality of answers. Two predominant topics of commands made in the first interaction include asking health care–related questions and streaming music. However, most of the follow-up reactions were unfavorable because of the difficulty in constructing a structured sentence for a command; misperceptions about how a voice assistant operates; and concerns about privacy, security, and financial burdens. Overall, a speech-based interaction was perceived to be beneficial owing to its efficiency and convenience, but no other benefits were perceived.ConclusionsOn the basis of the findings, we discuss design implications that can positively influence older adults' first experiences with a voice assistant, including helping better understand how a voice assistant works, incorporating mistakes and common interaction patterns into its design, and providing features tailored to the needs of older adults.

Exploring the ring potential of 2,4-diaminopyrimidine derivatives towards the identification of novel caspase-1 inhibitors in Alzheimer's disease therapy.

Pro-inflammatory activation of caspase-1 in the neurodegenerative pathway has been associated with age-dependent cognitive impairment and Alzheimer's disease (AD) in humans. A recent report highlighted 2,4-diaminopyrimidine ring as an essential fragment in the inhibition of human caspase-1. However, the role of the ring and its enzyme inhibitory mechanism is not thoroughly investigated at the molecular level. The purpose of this study is therefore in twofold: (1) to understand the enzyme binding mechanism of the 2,4-diaminopyrimidine ring and (2) to search for more potent caspase-1 inhibitors that contain the ring, using integrative per-residue energy decomposition (PRED) pharmacophore modeling. Ligand interaction profile of a reference compound revealed a peculiar hydrogen formation of the amino group of 2,4-diaminopyrimidine with active site residue Arg341, possibly forming the bases for its inhibitory prowess against caspase-1. A generated pharmacophore model for structure-based virtual screening identified compounds, ZINC724667, ZINC09908119, and ZINC09933770, as potential caspase-1 inhibitors that possessed desirable pharmacokinetic and physiochemical properties. Further analyses revealed active site residues, Arg179, Ser236, Cys285, Gln283, Ser339, and Arg341, as crucial to inhibitor binding by stabilizing and forming hydrogen bonds, hydrophobic, and pi-pi interactions with the 2,4-diaminopyrimidine rings. Common interaction patterns of the hits could have accounted for their selective and high-affinity ligand binding, which was characterized by notable disruptions in caspase-1 structural architecture. These compounds could further be explored as potential leads in the development of novel caspase-1 inhibitors.

The ability of transcription factors to differentially regulate gene expression is a crucial component of the mechanism underlying inversion, a frequently observed genetic interaction pattern.

Genetic interactions, a phenomenon whereby combinations of mutations lead to unexpected effects, reflect how cellular processes are wired and play an important role in complex genetic diseases. Understanding the molecular basis of genetic interactions is crucial for deciphering pathway organization as well as understanding the relationship between genetic variation and disease. Several hypothetical molecular mechanisms have been linked to different genetic interaction types. However, differences in genetic interaction patterns and their underlying mechanisms have not yet been compared systematically between different functional gene classes. Here, differences in the occurrence and types of genetic interactions are compared for two classes, gene-specific transcription factors (GSTFs) and signaling genes (kinases and phosphatases). Genome-wide gene expression data for 63 single and double deletion mutants in baker’s yeast reveals that the two most common genetic interaction patterns are buffering and inversion. Buffering is typically associated with redundancy and is well understood. In inversion, genes show opposite behavior in the double mutant compared to the corresponding single mutants. The underlying mechanism is poorly understood. Although both classes show buffering and inversion patterns, the prevalence of inversion is much stronger in GSTFs. To decipher potential mechanisms, a Petri Net modeling approach was employed, where genes are represented as nodes and relationships between genes as edges. This allowed over 9 million possible three and four node models to be exhaustively enumerated. The models show that a quantitative difference in interaction strength is a strict requirement for obtaining inversion. In addition, this difference is frequently accompanied with a second gene that shows buffering. Taken together, these results provide a mechanistic explanation for inversion. Furthermore, the ability of transcription factors to differentially regulate expression of their targets provides a likely explanation why inversion is more prevalent for GSTFs compared to kinases and phosphatases.

The role of social structure for governing natural resources in decentralized political systems: Insights from governing a fishery in Indonesia

This empirical research investigates whether distinct network configurations between actors facilitate or impede successful local natural resource governance in decentralized political systems. Network analysis is applied to disentangle the interaction between actors involved in a decentralized fishery governance system in Indonesia from a polycentric perspective. Using an embedded network case study design, the study examines whether common interaction patterns are observed in local study sites with more successful governance outcomes compared to study sites with less successful outcomes. Three common patterns are identified: (i) higher frequency of interaction of local actors, and (ii) stronger activity of local non‐governmental actors in the polycentric governance network are found in the sites with more successful outcomes. Furthermore, the results show (iii) a higher centralization of the local governance networks with rent‐seeking actors in strong brokerage positions where highly unsustainable resource use prevails. This points to the existence of a ‘dark side’ of brokerage.

Comparative influenza protein interactomes identify the role of plakophilin 2 in virus restriction

Cellular protein interaction networks are integral to host defence and immune signalling pathways, which are often hijacked by viruses via protein interactions. However, the comparative virus–host protein interaction networks and how these networks control host immunity and viral infection remain to be elucidated. Here, we mapped protein interactomes between human host and several influenza A viruses (IAV). Comparative analyses of the interactomes identified common and unique interaction patterns regulating innate immunity and viral infection. Functional screening of the ‘core‘ interactome consisting of common interactions identified five novel host factors regulating viral infection. Plakophilin 2 (PKP2), an influenza PB1-interacting protein, restricts IAV replication and competes with PB2 for PB1 binding. The binding competition leads to perturbation of the IAV polymerase complex, thereby limiting polymerase activity and subsequent viral replication. Taken together, comparative analyses of the influenza–host protein interactomes identified PKP2 as a natural inhibitor of IAV polymerase complex.

Прикладные инструменты в реализации информационно-коммуникативных технологий обратной связи власти и населения

In the article the author defines basic principles of information and communication interaction in the dialog discourse «power – society», introducing the scheme of information and communication space. On the basis of certain examples the main groups of applied tools of information and communication technologies of authorities and population feedback system alignment are considered. One of the problems of efficient interaction development of "power-society" is considered by the author as information asymmetry, provoking the emergence of rumors filling "semantic gap". The author describes the most common social patterns of interaction between government and public.

Interacting with archival finding aids

This research aimed to gain a detailed understanding of how genealogists and historians interact with, and make use of, finding aids in print and digital form. The study uses the lens of human information interaction to investigate finding aid use. Data were collected through a lab‐based study of 32 experienced archives' users who completed two tasks with each of two finding aids. Participants were able to carry out the tasks, but they were somewhat challenged by the structure of the finding aid and employed various techniques to cope. Their patterns of interaction differed by task type and they reported higher rates of satisfaction, ease of use, and clarity for the assessment task than the known‐item task. Four common patterns of interaction were identified: top‐down, bottom‐up, interrogative, and opportunistic. Results show how users interact with findings aids and identify features that support and hinder use. This research examines process and performance in addition to outcomes. Results contribute to the archival science literature and also suggest ways to extend models of human information interaction.

Recommendations to support interaction with broadcast debates: a study on older adults’ interaction with The Moral Maze

Current methods to capture, analyse and present the audience participation of broadcast events are increasingly carried out using social media. Uptake of such technology tools has so far been poor amongst older adults, and it has the worrying effect of excluding the demographic from participation. Our work explores whether a common desire to interact with debates can be tapped with technology with a very low barrier to entry, to both support better engagement with broadcast debates and encourage greater use of social media. This paper describes experiments where older adults interact with a BBC radio debate programme: The Moral Maze. As a result, we obtained common interaction patterns which then are used to define recommendations for software-supported interaction with debates based on theories of argumentation. Our goal is to combine research on computational models of argument and user-driven research on human-centred computing in a project with the potential for high-profile impact in addressing older adults inclusion in the digital economy.

User communities evolution in microblogs: A public awareness barometer for real world events

In social media, users' interactions are affected by real-world events which influence emergence and shifts of opinions and topics. Interactions around an event-related topic can be captured in a weighted network, while identification of connectivity and intensity patterns can improve understanding of users' interest on the topic. Community detection is studied here as a means to reveal groups of social media users with common interaction patterns in such networks. The proposed community detection approach identifies communities exploiting both structural properties and intensity patterns, while dynamics of communities' evolution around an event are revealed based on an iterative community detection and mapping scheme. We investigate the importance of considering interactions' intensity for community detection via a benchmarking process on synthetic graphs and propose a generic framework for: i) modeling user interactions, ii) identifying static and evolving communities around events, iii) extracting quantitative and qualitative measurements from the communities' timeline, iv) leveraging measurements to understand the events' impact. Two real-world case studies based on Twitter interactions demonstrate the framework's potential for capturing and interpreting associations among communities and events.

Mining the Characteristic Interaction Patterns on Protein–Protein Binding Interfaces

Protein-protein interactions are observed in various biological processes. They are important for understanding the underlying molecular mechanisms and can be potential targets for developing small-molecule regulators of such processes. Previous studies suggest that certain residues on protein-protein binding interfaces are "hot spots". As an extension to this concept, we have developed a residue-based method to identify the characteristic interaction patterns (CIPs) on protein-protein binding interfaces, in which each pattern is a cluster of four contacting residues. Systematic analysis was conducted on a nonredundant set of 1,222 protein-protein binding interfaces selected out of the entire Protein Data Bank. Favored interaction patterns across different protein-protein binding interfaces were retrieved by considering both geometrical and chemical conservations. As demonstrated on two test tests, our method was able to predict hot spot residues on protein-protein binding interfaces with good recall scores and acceptable precision scores. By analyzing the function annotations and the evolutionary tree of the protein-protein complexes in our data set, we also observed that protein-protein interfaces sharing common characteristic interaction patterns are normally associated with identical or similar biological functions.

Designing multi-agent unit tests using systematic test design patterns-(extended version)

Software agents are the basic building blocks in many software systems especially those based on artificial intelligence methods, e.g., reinforcement learning based multi-agent systems (MASs). However, testing software agents is considered a challenging problem. This is due to the special characteristics of agents which include its autonomy, distributed nature, intelligence, and heterogeneous communication protocols. Following the test-driven development (TDD) paradigm, we present a framework that allows MAS developers to write test scenarios that test each agent individually. The framework relies on the concepts of building mock agents and testing common agent interaction design patterns. We analyze the most common agent interaction patterns including pair and mediation patterns in order to provide stereotype implementation for their corresponding test cases. These implementations serve as test building blocks and are provided as a set of ready-for-reuse components in our repository. This way, the developer can concentrate on testing the business logic itself and spare him/her the burden of implementing tests for the underlying agent interaction patterns. Our framework is based on standard components such as the JADE agent platform, the JUnit framework, and the eclipse plug-in architecture. In this paper, we present in details the design and function of the framework. We demonstrate how we can use the proposed framework to define more stereotypes in the code repository and provide a detailed analysis of the code coverage for our designed stereotype test code implementations.

APLICACIÓN DE MÉTODOS DE DISEÑO CENTRADO EN EL USUARIO Y MINERÍA DE DATOS PARA DEFINIR RECOMENDACIONES QUE PROMUEVAN EL USO DEL FORO EN UNA EXPERIENCIA VIRTUAL DE APRENDIZAJE

The use of recommendation systems in learning virtual environments is increasingly becoming a feasible approach for providing the adaptive support required to attend students’ learning needs. With the interaction data obtained from these virtual environments it is possible to find indicators where data mining and machine learning techniques can be applied to identify relevant information that allows for the definition of recommendations. In this research we have applied unsupervised learning techniques to identify common interaction patterns with available forums in a course on the OpenACS/dotLRN platform. This will allow recommendations to be defined that help improve the students’ learning experience.