Interface Elements Research Articles

Effect of footing roughness on ultimate bearing capacity of rigid strip footing on sandy soil slope

This study investigates the ultimate bearing capacity of a rigid strip footing on a sandy slope using the Rigid Plastic Finite Element Method (RPFEM). To accurately represent a wide range of frictional conditions at the footing roughness, a new interface element was introduced, capable of accommodating both perfectly rough and perfectly smooth conditions. A new constitutive equation is introduced to model these interface elements, which had a significant influence on the failure mode of the strip footing. Moreover, the study focuses on assessing critical parameters, including the internal friction angle of the sandy ground, as well as slope geometry parameters (slope angle b, edge distance L, and slope height H). The RPFEM results illustrate that increasing the edge distance positively influences the bearing capacity, while a higher slope angle exerts a negative effect. Notably, variations in slope height produce consistent outcomes, regardless of the frictional conditions.

An Efficient Interface Model of User Interaction with a Query-Type Information Service

The work solves the problem an analytical model constructing of the user interaction interface with an information system designed to provide information based on multi-parameter user requests. The model purpose is to evaluate the effectiveness of the interface and, accordingly, the interaction itself. To do this, using an example of typical work with an interface, the following prerequisites (as conditions) for modeling are introduced: the effectiveness of the interface, its forms and transitions between them, interface elements, the atomic efficiency of the element and form, the order of their arrangement and the empirical dependence of efficiency, as well as the formulation interface design tasks. Using these premises, an appropriate efficiency model has been formed, which allows us too analytically, based on the structure and parameters of the interface, evaluate its effectiveness, operativeness and resource efficiency. A software prototype was created, which was based on the model and with the help of which a number of experiments were carried out under three scenarios, consisting of changing the number of forms and interface elements in order to determine their impact on overall efficiency; the corresponding dependencies were obtained in the form of histograms. Conclusions are drawn regarding the accuracy of the model, its theoretical and practical significance, as well as the overall complexity of designing “ideal” interfaces.

Flexural-shear strengthening of reinforced concrete T-beams subjected to asymmetric loading using CFRP system combined by NSM strips and U-wraps

This paper presents a developed three-dimensional (3D) finite element model (FEM) of flexural and shearstrengthening of reinforced concrete (RC) T-beams using a CFRP (Carbon Fiber-Reinforced Polymer) system combined by near-surface mounted (NSM) strips and U-wraps subjected by asymmetric loading. The 3D FEM was verified by experimental results. Concrete was simulated by a total-strain-based rotating smeared crack model. NSM CFRP strips and CFRP U-wrap sheets were modeled as shell elements. Steel reinforcement and NSM CFRP strips were embedded in concrete, corresponding to a perfect bond. U-wrap sheets were modeled as a shell element and bonded to the concrete surface using an interface element, considering appropriate bond properties. Four RC T-beams from an experimental work were analyzed, and predictions of the applied load-displacement curve and failure mode were presented to demonstrate the accuracy of the developed finiteelement analysis. It is shown that the finite element results of T-beams agree well with the experimental behavior in terms of applied load versus displacement and failure mode. Moreover, a parametric study was conducted to examine the influence of some design-oriented parameters such as concrete compressive strength, amount of longitudinal tension reinforcement, amount of stirrups, multiple layers of externally bonded (EXB) CFRP sheets, and flange width.

A discrete fracture-matrix approach based on Petrov-Galerkin immersed finite element for fractured porous media flow on nonconforming mesh

In this paper, the Petrov-Galerkin immersed finite element method is developed for simulating flow in fractured porous media. We consider the hybrid-dimensional fracture model as an elliptic interface problem with multiple physical coupling interface conditions, and embed the information of low-dimensional fractures into the local functions of interface elements. The immersed finite element space is constructed by explicitly representing the local solution functions in the interface element. This approach addresses the limitation of conforming meshes. More importantly, it can capture both the continuity and discontinuity of pressure, making it effective for both conductive and blocking fractures. We provide a detailed illustration of how to construct local functions on triangular and rectangular meshes. Finally, numerical examples and benchmarks are presented to validate the effectiveness of our proposed method.

A screenshot-based task mining framework for disclosing the drivers behind variable human actions

Robotic Process Automation (RPA) enables subject matter experts to use the graphical user interface as a means to automate and integrate systems. This is a fast method to automate repetitive, mundane tasks. To avoid constructing a software robot from scratch, Task Mining approaches can be used to monitor human behavior through a series of timestamped events, such as mouse clicks and keystrokes. From a so-called User Interface log (UI Log), it is possible to automatically discover the process model behind this behavior. However, when the discovered process model shows different process variants, it is hard to determine what drives a human’s decision to execute one variant over the other. Existing approaches do analyze the UI Log in search for the underlying rules, but neglect what can be seen on the screen. As a result, a major part of the human decision-making remains hidden. To address this gap, this paper describes a Task Mining framework that uses the screenshot of each event in the UI Log as an additional source of information. From such an enriched UI Log, by using image-processing techniques and Machine Learning algorithms, a decision tree is created, which offers a more complete explanation of the human decision-making process. The presented framework can express the decision tree graphically, explicitly identifying which elements in the screenshots are relevant to make the decision. The framework has been evaluated through a case study that involves a process with real-life screenshots. The results indicate a satisfactorily high accuracy of the overall approach, even if a small UI Log is used. The evaluation also identifies challenges for applying the framework in a real-life setting when a high density of interface elements is present.

Improved interlayer performance of short carbon fiber reinforced composites with bio-inspired structured interfaces

The weak layer interfaces of 3D-printed short carbon fiber (SCF) reinforced polymer composites have remained an issue due to planar layer printing by traditional 3D printers. Recently, multi-axis 3D printing technology which can realize non-planar layer printing has been developed. This study’s aim was to evaluate and compare the bonding performance of non-planar interfaces produced by multi-axis 3D printing with that of planar interfaces. The tested non-planar interfaces were designed as bio-inspired structured interfaces (BISIs) based on microstructural interfacial elements in biological materials. The standard specimens with the 0°/90° and 0° infill line directions were printed by a robotic arm multi-axis 3D printer. Double cantilever beam (DCB) and end-notched flexure (ENF) tests were conducted to obtain Mode Ⅰ and Mode Ⅱ interlaminar toughness of SCF-reinforced composites. Test results showed that the critical energy release rates of the integrally formed BISI were significantly improved compared with the planar interface (PLAI) for both Mode I and Mode II delamination. In particular, the BISI with 0° infill line direction exhibited the greatest increase in critical energy release rate, and the damaged areas were spatially swept through the curved interfaces of the BISI with different infill line directions by scanning electron microscopy (SEM) and computed tomography (CT), which showed that the higher critical energy release rate was always accompanied with a larger damaged area. In addition, the tensile and flexural properties of 0°-infilled PLAI and BISI specimens were also measured. This work provides an in-depth investigation of the PLAI and BISI properties of SCF-reinforced composites, demonstrating the potential benefits of integrally formed BISI by multi-axis 3D printing and fostering new perspectives to enhance layer interfaces of 3D printed composites.

Development of the Automated System for Radiation Risk Analysis: goals, tasks and the vision for progress

This paper describes the preconditions of creation and the process of development of the Automated System for Radiation Risk Analysis. Three main objectives for the development of an automated system for radiation risk analysis were identified: creation of a tool for the development and scientific justification of hygienic standards and other protective quantities in the field of ionizing radiation application; practical implementation of the principles of justification and optimization in radiation protection on the basis of monetary assessment of radiation health risks; and comparative analysis of risks of different nature on the basis of comparable indicators of population health. The Russian software platform 1C: Enterprise was chosen as the development platform for the Automatized System for Radiation Risk Analysis. The choice of this platform was related to simplification of integration with other computer systems being developed at the Research Institute of Radiation Hygiene after Prof. P.V. Ramzaev, such as the Automated System for Radiation Exposure Control of Rospotrebnadzor. Before the practical development of the system in accordance with the terms of reference, the main parameters in view of its interaction with the user were determined: arrangement of the user interface elements, main input parameters, primary calculated indicators and output calculation results, etc. The estimation of annual increase in the probability of radiation-induced malignant neoplasms depending on the organ dose, sex and age of the exposed person and other parameters according to the models of the UN Scientific Committee on the Effects of Atomic Radiation, the U.S. Environmental Protection Agency and Publications 103 and 152 of the International Commission on Radiological Protection was implemented in the system. The capabilities of the system include calculation of a number of modern lifetime radiation risk indicators used for risk characterization in various scientific publications over the last 35 years, including calculation of population risks based on national medical and demographic data of several dozen states published over the last 50 years.

Balanced Aesthetics: How Shape, Contrast, and Visual Force Affect Interface Layout

This study aims to investigate the effects of shape, contrast, and visual force on the visual weight of interface elements and provides corresponding experimental validations. The experiments employ representative abstract shapes as stimuli and conduct three visual weight experiments. The results of the shape experiment demonstrate significant effects of vertical and horizontal ellipses on visual weight, while polygons and rounded rectangles do not show significant effects. The contrast experiment reveals that increasing contrast significantly increases visual weight, particularly on a white background. The visual force experiment indicates that the direction of visual force influences visual weight, with a decrease in weight when directed towards the center of the interface and an increase when directed otherwise. Based on these experimental findings, we infer the underlying mechanisms of the effects of shape, contrast, and visual force on visual weight, providing empirical evidence for optimizing balance computational models.

Effects of AI and Logic-Style Explanations on Users’ Decisions Under Different Levels of Uncertainty

Existing eXplainable Artificial Intelligence (XAI) techniques support people in interpreting AI advice. However, although previous work evaluates the users’ understanding of explanations, factors influencing the decision support are largely overlooked in the literature. This article addresses this gap by studying the impact of user uncertainty , AI correctness , and the interaction between AI uncertainty and explanation logic-styles for classification tasks. We conducted two separate studies: one requesting participants to recognize handwritten digits and one to classify the sentiment of reviews. To assess the decision making, we analyzed the task performance, agreement with the AI suggestion, and the user’s reliance on the XAI interface elements. Participants make their decision relying on three pieces of information in the XAI interface (image or text instance, AI prediction, and explanation). Participants were shown one explanation style (between-participants design) according to three styles of logical reasoning (inductive, deductive, and abductive). This allowed us to study how different levels of AI uncertainty influence the effectiveness of different explanation styles. The results show that user uncertainty and AI correctness on predictions significantly affected users’ classification decisions considering the analyzed metrics. In both domains (images and text), users relied mainly on the instance to decide. Users were usually overconfident about their choices, and this evidence was more pronounced for text. Furthermore, the inductive style explanations led to overreliance on the AI advice in both domains—it was the most persuasive, even when the AI was incorrect. The abductive and deductive styles have complex effects depending on the domain and the AI uncertainty levels.

Assessment of Farmer Characteristics and Design Preferences on Location-based Pest and Disease Reporting Service for Digital Agriculture: A Preliminary Analysis

User interface design is critical for ensuring that agricultural technology is accessible and usable for farmers. Usability and accessibility for farmers can boost crop yields and lower losses. Therefore, it is crucial to understand the preferences and needs of farmers, particularly in terms of user interface design. This study examines the preferences of chili farmers for user interface elements in reporting chili pests and diseases and investigates how farmer characteristics (i.e. age categories and educational backgrounds) influence these preferences. Data was collected from a group of chili farmers in Batu Pahat using a survey instrument and field experimental tasks that list several user interface elements according to the tasks given in relation to disease and pest attack reporting information for chili crops. The study includes user interface-related tasks for online map services such as Google Maps and Waze, which aim to report the location of attacks. The study’s findings underscore the significance of user interface elements in shaping user experiences. Google Maps emerged as the favored navigation service, highlighting the importance of a straightforward and user-friendly interface. The study suggests that enhancing user knowledge of lesser-known functions can lead to higher satisfaction and loyalty. In agricultural applications, visual cues and intuitive design, exemplified by the “Picture Radio Button” and “Horizontal Date” elements, were well-received. Overall, this study highlights the importance of considering farmers’ demographic characteristics in designing user interfaces for agricultural technology. By doing so, agricultural technology can be made more accessible and usable for farmers, ultimately leading to more effective management of chili pests and diseases. The findings of this research will yield advantages by aiding farmers, specifically in Malaysia, in transitioning into intelligent farmers, aligning with the objectives of the Shared Prosperity Vision 2030 and the realization of smart agriculture in Malaysia. Furthermore, this endeavor is consistent with the Food and Agriculture Organization of the United Nations (FAO) initiative aimed at digitizing farmers, encompassing smallholder farmers as well.

VISUALIZATION AND COMPUTATIONAL MODELLING USING VPYTHON TO TEACH PHYSICS AT THE FACULTY OF SCIENCE, UNIVERSITY OF DERNA

Students face many difficulties in understanding some imaginary physical phenomena, mathematical or logical concepts and formations, which makes it difficult for the university professor to reach the required scientific perception, so the professors are forced to move forward using all digital innovations in order to provide the highest possible teaching quality., This paper describes computational modelling. And simulates and visualizes some physical phenomena in college using the VPython programming language (Visual Python), which is a great tool for demonstrating, calculating, and simulating physics displays and experiments, as VPython is a powerful and easy-to-use environment for creating 3D animations and publishing them on the web. It contains many built-in objects and shapes, as well as graphic capabilities. They can be used to create interactive programs using user interface elements. The process of making the program interactive starts first with creating the objects and setting variables for them, then creating a widget that the user can interact with, which is a useful exploration and a new way to improve students' skills and support the interactive teaching of computers and humans for Physics, as well as a response to the 'education' reform in Libya

Taming a 'fuzzy beast'? Stakeholder perspectives on Antarctic science-policy knowledge exchange practices in New Zealand.

Antarctic environmental change is accelerating with significant regional and global consequences making it critically important for Antarctic research knowledge to inform relevant policymaking forums. A key challenge is maximising the utility of evidence in decision-making, to which scholars have responded by shifting away from linear science-policy arrangements towards co-production alternatives. As an Antarctic Treaty Consultative Party (ATCP), New Zealand (NZ) is responsible for facilitating knowledge exchange (KE) among Antarctic science and policy actors at national and international levels. However, at present, we have few metrics for assessing the success of science-policy dialogues. Furthermore, studies on the Antarctic science-policy interface have so far primarily focused on the international perspective. This paper is the first to examine domestic stakeholder perspectives regarding Antarctic KE using NZ as a case study. We report on the findings of two workshops involving over 60 NZ Antarctic stakeholders in 2021 that aimed to explore the various elements of NZ's Antarctic science-policy interface and identify barriers or drivers for success, including future opportunities. Our results indicate that there is a desire to shift away from the current linear approach towards a more collaborative model. To achieve this, stakeholders share an understanding that KE practices need to become more equitable, inclusive and diverse, and that the policy community needs to play a more proactive and leading role. Described as a 'fuzzy beast', the NZ Antarctic science-policy interface is complex. This study contributes to our understanding of Antarctic KE practices by offering new guidance on several key elements that should be considered in any attempts to understand or improve future KE practices in NZ or within the domestic settings of other ATCPs interested in fostering science-policy success.

Microstructural and mechanical evolution of sintered nano-silver joints on bare copper substrates during high-temperature storage

PurposeThe purpose of this paper is to study the reliability of sintered nano-silver joints on bare copper substrates during high-temperature storage (HTS).Design/methodology/approachIn this study, HTS at 250 °C was carried out to investigate the reliability of nano-silver sintered joints. Combining the evolution of the microstructure and shear strength of the joints, the degradation mechanisms of joints performance were characterized.FindingsThe results indicated that the degradation of the shear properties of sintered nano-silver joints on copper substrates was attributed to copper oxidation at the silver/copper interface and interdiffusion of interfacial elements. The joints decreased by approximately 57.4% compared to the original joints after aging for 500 h. In addition, severe coarsening of the silver structure was also an important cause for joints failure during HTS.Originality/valueThis paper provides a comparison of quantitative and mechanistic evaluation of sintered silver joints on bare copper substrates during HTS, which is of great importance in promoting the development of sintered silver technology.

3D modelling of the interaction between bending and corrosion-induced cracks in reinforced concrete beams

Bending and corrosion-induced cracks interact and impact the durability of Reinforced Concrete (RC) beams in a complex manner. Still, research on the mechanisms behind this interaction is limited. In this study, a 3D nonlinear finite element modelling method of RC beams was developed to explore this interactive mechanism. The models were assessed against experimental benchmarks, showing good agreement in terms of crack pattern and growth. Moreover, the modelling method offered the advantage of visualising the internal condition of beams, including the propagation of internal cracks and the expansion of corrosion products represented by interface elements. A parametric study was conducted to examine the influence of three crucial factors: the transport of the corrosion products, the distance between bending cracks, and bending crack width. The modelling results revealed that the transport of corrosion products appeared to play a decisive role in the location of initiation and evolution of corrosion-induced cracks. Additionally, as the distance between the bending cracks decreased, the onset of corrosion-induced cracks transitioned from the midpoint between the bending cracks to the vicinity of them. Furthermore, an increase in bending crack width had no impact on the initiation and evolution of corrosion-induced cracks, while their widths, and variation of width along the bar, decreased.

Comparative numerical study to simulate masonry with bed joint reinforced repointing

Bed joint reinforced repointing is a retrofitting technique for unreinforced masonry structures that is commonly applied in the Netherlands to repair settlement-induced damage. Using this technique, the bed joints of masonry walls are reinforced with steel rebars that are embedded in a high strength repair mortar. Due to the increase of induced seismic events in the northern part of the Netherlands, an experimental study was carried out at Delft University of Technology to investigate the performance of this retrofitting technique for combined settlement and seismic loading. This paper aims to simulate the experimental results, with a focus on the comparison of different finite element modelling approaches for studying both un-strengthened and strengthened full-scale tested walls. To that end, three different models are investigated – comprising both macro (continuum) and simplified and detailed micro (brick-to-brick) modelling approaches. The bricks and mortar joints are modelled as one homogenous continuum in the macro model, whereas in the two brick-to-brick models these structural components are modelled separately, with the detailed model including interface elements to simulate the brick–mortar bonds. Nonlinear pushover analyses are subsequently carried out using all three modelling approaches, for both monotonic and cyclic loading cases. Based on these analyses, the detailed brick-to-brick model was found unsuitable to simulate the strengthened wall because cracks in the model mainly occur in the form of opening of the brick–mortar bond interfaces, while smeared cracking in the plane stress elements of the mortar joints is very limited. Similarly, the continuum damage model was found to be inaccurate when pre-existing damage in the experiment needed to be taken into account. The continuum damage model also showed lower axial stresses in the rebars, compared with the simplified brick-to-brick model, as the former does not allow for the direct assignment of material properties for the high strength repair mortar in the strengthened joints.

A Vehicle Simulation Study Examining the Effects of System Interface Design Elements on Performance in Different Vibration Environments Below 3Hz.

This study aimed to explore the relationship between system interface elements' design features and interaction performance in simulated vehicle vibration environments. Touch screens have been widely used in vehicle information systems, but few studies have focused on the decline of touchscreen interaction performance and task load increase when driving on unpaved roads. The interaction performance (reaction time and task accuracy rate) with vibration frequencies below 3Hz (1.5, 2.0, and 2.5Hz) and different interface design elements was investigated employing a touch screen computer and E-prime software. The results indicate that vehicle vibration (below 3Hz) can significantly reduce interaction performance with a vehicle information system interface. An appropriate increase in the physical size of the interface design features (visual stimulus materials and touch buttons) can help to mitigate this negative effect of vibration. The results and findings of this study can be utilized for the design of information system interfaces as it relates to the vibration scenario of unpaved roads.

Designing an Egocentric Video-Based Dashboard to Report Hand Performance Measures for Outpatient Rehabilitation of Cervical Spinal Cord Injury.

Functional use of the upper extremities (UEs) is a top recovery priority for individuals with cervical spinal cord injury (cSCI), but the inability to monitor recovery at home and limitations in hand function outcome measures impede optimal recovery. We developed a framework using wearable cameras to monitor hand use at home and aimed to identify the best way to report information to clinicians. A dashboard was iteratively developed with clinician (n = 7) input through focus groups and interviews, creating low-fidelity prototypes based on recurring feedback until no new information emerged. Affinity diagramming was used to identify themes and subthemes from interview data. User stories were developed and mapped to specific features to create a high-fidelity prototype. Useful elements identified for a dashboard reporting hand performance included summaries to interpret graphs, a breakdown of hand posture and activity to provide context, video snippets to qualitatively view hand use at home, patient notes to understand patient satisfaction or struggles, and time series graphing of metrics to measure trends over time. Involving end-users in the design process and breaking down user requirements into user stories helped identify necessary interface elements for reporting hand performance metrics to clinicians. Clinicians recognized the dashboard's potential to monitor rehabilitation progress, provide feedback on hand use, and track progress over time. Concerns were raised about the implementation into clinical practice, therefore further inquiry is needed to determine the tool's feasibility and usefulness in clinical practice for individuals with UE impairments.

НАЗВАНИЯ ЭЛЕМЕНТОВ ИНТЕРФЕЙСА КАК ОТРАЖЕНИЕ РЕАЛИЙ МЕЖЛИЧНОСТНОЙ КОММУНИКАЦИИ В ИНТЕРНЕТЕ

For the research of the lexical-semantic field “Interpersonal communication on the Internet” the study of the vocabulary associated with the names of the interface elements of Internet platforms becomes relevant. However, this linguistic material has not yet become the object of detailed linguistic analysis. The study of this vocabulary is hampered by the dynamic development of Internet communication platforms. In this article the names of the interface elements of Internet platforms are considered as a reflection of the realities of interpersonal communication. The studied lexical material is classified, structured and tabulated.

DGIdb 5.0: rebuilding the drug-gene interaction database for precision medicine and drug discovery platforms.

The Drug-Gene Interaction Database (DGIdb, https://dgidb.org) is a publicly accessible resource that aggregates genes or gene products, drugs and drug-gene interaction records to drive hypothesis generation and discovery for clinicians and researchers. DGIdb 5.0 is the latest release and includes substantial architectural and functional updates to support integration into clinical and drug discovery pipelines. The DGIdb service architecture has been split into separate client and server applications, enabling consistent data access for users of both the application programming interface (API) and web interface. The new interface was developed in ReactJS, and includes dynamic visualizations and consistency in the display of user interface elements. A GraphQL API has been added to support customizable queries for all drugs, genes, annotations and associated data. Updated documentation provides users with example queries and detailed usage instructions for these new features. In addition, six sources have been added and many existing sources have been updated. Newly added sources include ChemIDplus, HemOnc, NCIt (National Cancer Institute Thesaurus), Drugs@FDA, HGNC (HUGO Gene Nomenclature Committee)and RxNorm. These new sources have been incorporated into DGIdb to provide additional records and enhance annotations of regulatory approval status for therapeutics. Methods for grouping drugs and genes have been expanded upon and developed as independent modular normalizers during import. The updates to these sources and grouping methods have resulted in an improvement in FAIR (findability, accessibility, interoperabilityand reusability) data representation in DGIdb.

Multi-scale modelling and analysis of the behaviour of PC/ABS blends with emphasis on interfacial/bulk damage

The present contribution focuses on the analysis of diverse deformation mechanisms that impact the behaviour of PC/ABS blends using computational homogenisation. This includes analysing internal particle cavitation, PC/ABS interface debonding, and PC matrix shear-yielding. The goal is to investigate the optimal composition for specific applications and create tailored materials. The work involves establishing a microstructure Representative Volume Element, defining the constitutive description of both material phases, and explicitly modelling PC/ABS interfaces and matrix damage to achieve accurate predictions. A Python programme is devised to efficiently integrate zero-thickness cohesive interface elements around ABS particles, incorporating the PPR potential-based cohesive model to characterise the interface. Additionally, the finite strain visco-elastic visco-plastic constitutive model of the PC matrix is extended to incorporate a damage variable, addressing the shear-yielding failure mechanism. The PC/ABS blend’s thermomechanical response is homogenised using first-order hierarchical multi-scale analyses. The impact of considering the interface phase in the microstructure is assessed through various numerical analyses. The synergy between the constitutive models effectively captures the blend’s behaviour. These findings lay the foundation for broader applicability beyond PC/ABS blends, paving the way for future studies in the field.