Interactive System Research Articles

Why the adventitious roots of poplar are so colorful: RNAseq and metabolomic analysis reveal anthocyanin accumulation in canker pathogens-induced adventitious roots in poplar.

This study revealed a substrate-level synthesis of pigment cyanidin-3-O-glucoside and the redirection of metabolomic flux in the flavonoid/anthocyanin biosynthesis pathway in poplar adventitious roots (ARs) induced by stem canker pathogens. Recently, we observed a novel allometry on poplar stems, with copious colorful adventitious roots (ARs) induced by fungal canker pathogens. Here, we reveal chemical, physiological, and molecular mechanisms of AR coloration in poplar-pathogens (Valsa sordida/Botrosphaeria dothidea) interaction system using our phloem girdling-inoculation system. Light-induced coloration in ARs: red/rosy under sunlight, and milky white under shading. Chemical and metabolomic analyses indicated that numerous (93 in all 110) and high relative intensities/contents of flavonoids metabolites (mainly including flavonols, flavones, and anthocyanins class) accumulate in red ARs, some flavones and anthocyanins metabolites all contribute to the color of poplar ARs, and cyanidin-3-O-glucoside is the most abundant colorant. Integrated analysis of metabolomic and transcriptomic analysis suggested that sunlight exposure redirected the metabolomic flux from the flavonoid biosynthesis pathway to the flavonols and flavones branch pathways, induced by the upregulation of FLS (flavonol synthase/flavanone 3-hydroxylase) and other structural genes. The anthocyanins metabolomic analysis and the downregulation of the ANS (anthocyanin synthase) gene illustrated a retard of metabolomic flux from leucoanthocyanidins to anthocyanidins. Metabolomic results and the upregulation of the gene BZ1 (Bronze 1, anthocyanin 3-O-glucosyltransferase) illustrated that sunlight triggered a rapid biosynthesis of anthocyanin metabolites in poplar ARs, which based on the substrate level of anthocyanidins. Transcriptomic and RT-qPCR analyses showed that transcriptional factor MYB113, HY5 (Elongated hypocotyl 5), and COP1 (Ring-finger protein CONSTITUTIVE PHOTOMORPHOGENIC1) genes positively regulated the expression of the flavonoid/anthocyanin biosynthesis structural genes (such as the BZ1, FLS and LAR gene) in both sunlight-exposed red ARs and white ARs after light-exposure, suggesting sunlight induces anthocyanins biosynthesis through the interaction between "MBW" complex and COP1-HY5 module. Moreover, one SPL gene (squamosa promoter-binding-like protein gene, target of miR156, and one component of miR156-SPL module) was down-regulated in sunlight-exposed poplar ARs, implying the biosynthesis flavonoid/anthocyanin be regulated at the posttranscriptional level. This study provides a potential AR experimental system for research on flavonoid/anthocyanin biosynthesis in tree species.

Chemomechanical Self-Oscillatory Microgel Motility in Stratified Chemical Media.

The design of chemomechanical self-oscillators, which execute oscillations in the presence of constant stimuli lacking periodicity, is a step toward the development of autonomous and interactive soft robotic systems. This work presents a simple design of prolonged chemomechanical oscillatory movement in a microgel system capable of buoyant motility within stratified chemical media containing spatially localized sinking and floating stimuli. Three design elements are developed: a stimuli-responsive membranized calcium alginate microgel, a Percoll density gradient for providing stratified antagonistic chemical media, and transduction of microgel particle size actuation into buoyant motility via membrane-mediated displacement of the Percoll media. The presence of citrate or calcium ions in different layers of the Percoll media gives rise to swelling (buoyancy) or contraction (geotaxis), respectively, which in turn mediate the shuttling of the microgels between the layers to produce prolonged or damped chemomechanical oscillatory trajectories. The concentration-dependence of the oscillatory behavior in the stratified media, the density gap between the Percoll layers, and the kinetic asymmetry of microgel swelling and deswelling are studied. The illustrated modular design allows for the development of chemomechanical self-oscillators responsive to light, pH, or temperature, which will find applications in interactive soft robotics, autonomous microbots, and intelligent materials.

Visual analysis of diversity and threat status of natural materials for musical instruments

A classical symphony orchestra consists of up to 29 musical instruments manufactured from up to 758 distinct natural materials. The interrelationships between the extraction of raw materials for instrument making, the international trade conditions, and the protection status of endangered species and their ecosystems are highly complex and have yet to be sufficiently scientifically examined. However, rapidly progressing climate and ecological change call for sustainable solutions. To address this challenging task, we present MusEcology, a new interactive decision support system based on visualizations. The interactive visualizations offer entry points for users of various backgrounds to explore the interrelationships between musical instruments, natural resources and ecosystems. The tool’s fundamental objectives are to guarantee that the (1) data processing correlates related data resources, that (2) visual interfaces and interaction schemes encourage new interdisciplinary research on complex systems interactions, and that (3) high-level decision-making is supported to identify alternative pathways towards sustainable instrument making.

USE OF GEO-INFORMATION SYSTEMS FOR GROUNDWATER MONITORING

Abstract . The article is devoted to the study of the possibilities of using geographic information systems (GIS) for monitoring the state of groundwater, which is important for ensuring environmental safety and sustainable management of water resources. Groundwater is an important source of fresh water for the population, industry and agriculture, but it is vulnerable to various pollutions caused by both natural and anthropogenic factors. Therefore, the implementation of reliable monitoring systems that allow timely detection, assessment and forecasting of changes in water quality is necessary to prevent the deterioration of the ecological situation and prevent the spread of pollution. Geographic information systems (GIS ) offer significant opportunities for the collection and integration of large volumes of spatial data, including satellite images, remote sensing results, automated sensor data, and field observations. GIS allow creating multi-layered maps reflecting the ecological state of underground aquifers, modeling pollution processes and predicting their possible impact on nearby ecosystems and water sources. Thanks to the use of GIS, it is possible to combine data from different sources in a single interactive system, which simplifies analysis and provides the ability to quickly respond to any detected deviations. The article examines in detail the key methods used within GIS for groundwater monitoring, including satellite sounding to analyze changes in the earth's surface, spectral indices to assess the state of vegetation and soil salinity, and radar methods to determine soil electrical conductivity. Particular attention is paid to the application of three-dimensional modeling, which allows visualization of the spread of pollution in underground aquifers, which facilitates decision-making regarding the optimal location of monitoring stations and the design of protective structures. In combination with automated sensors recording water parameters in real time, GIS provides continuous monitoring of the physico-chemical indicators of groundwater and allows for prompt assessment of their condition. The article also analyzes the possibilities of using predictive modeling in GIS to assess the further spread of pollution and develop environmental risk management measures. It is described how mathematical models in GIS can help predict the impact of anthropogenic and natural factors on groundwater, which ensures the development of scientifically based solutions to reduce pollution and maintain water quality at a safe level. The implementation of GIS in groundwater monitoring is an important step towards increasing the efficiency of water resources management, ensuring their protection from pollution and preserving the ecological stability of the regions.

Emerging Roles and Relationships Among Humans and Interactive AI Systems

Metaphors have for long time been used for describing and explaining the roles of technology in human activity. Such descriptions are embedding an increasing level of ambience, where technology is expected to sense, interpret, and adapt to an individual’s needs and wishes, while at the same time, the demands for transparency and accountability is making way for new regulations and guidelines for systems based on artificial intelligence (AI). The purpose of this research is to explore social roles of humans and AI systems, and to identify open research questions and challenges when designing for transparency and sense of control. A socio-technical relationship framework was developed for assessing the social roles of AI systems, and for designing for change in roles and relationships. The framework was developed based on activity theory, metaphors for human-technology interaction, and emergent research on human-AI collaboration. By focusing on meaningful shared activity, the situations when technology is socially and personally relevant can be distinguished from the situations where technology is functionally relevant. The identified roles are partly overlapping and fluent depending on the situation, which increases the need for transparency and accountability, and consequently, AI techniques that allows explainability, negotiation and adaptation of the enacted roles. The framework is exemplified in two case studies to elicit role transformations in a work and a home environment respectively, where an individual’s changing need for supporting development of capabilities and autonomy through AI-based technology are addressed. We identify a number of open research questions and propose to apply the framework to capture and design for developing capability in humans and AI systems, collaborative capabilities in human-AI teaming, and for eliciting the ethical and moral consequences of AI systems operating within a person’s zone of development.

Intelligent Smart Mirror with Voice Recognition and Home Automation

The Project illustrates the design and development of a clever mirror that shows an exquisite interface for glimpsing data. Intelligent mirror, which continues the workings today, and will take its place in technology forthcoming, provides both mirror and computer-served information amenities to its users. "Smart Mirror System Development" includes weather, time, date, Google Assistant, and Home Automation. It utilizes Raspberry pi-3. Through its microphone, the smart mirror enables voice commands to operate certain devices. The smart mirror displays applications so that you can check the weather, local news, and so on while you're getting ready in the morning. This smart mirror would do smart thinking for the user. This smart mirror aims to reduce and possibly eliminate the need for the user to make time in their daily morning or night routines to check their pc, tablet, or smartphone for the users. The makings of this smart mirror include a microcontroller called Raspberry Pi3 which acts as a brain of the interactive system. The microcontroller would be powdered using Python scripts for mirror software as well as a personal assistant. After installing the software, the function can be accessed via a command line once it is set up. A 10-inch Display would be placed below an acrylic two-way mirror sheet and the model would be placed in an aluminum frame. We will build a separate personal assistant that will be able to recognize and perform speech-to-text operations. The personal assistant is named Jarvis. The project is extensive and AI plays a crucial role in today's world.

Covalent Capture of Nanoparticle-Stabilized Oil Droplets via Acetal Chemistry Using a Hydrophilic Polymer Brush.

We report the capture of nanosized oil droplets using a hydrophilic aldehyde-functional polymer brush. The brush was obtained via aqueous ARGET ATRP of a cis-diol-functional methacrylic monomer from a planar silicon wafer. This precursor was then selectively oxidized using an aqueous solution of NaIO4 to introduce aldehyde groups. The oil droplets were prepared by using excess sterically stabilized diblock copolymer nanoparticles to prepare a relatively coarse squalane-in-water Pickering emulsion (mean droplet diameter = 20 μm). This precursor was then further processed via high-pressure microfluidization to produce ∼200 nm squalane droplets. We demonstrate that adsorption of these nanosized oil droplets involves acetal bond formation between the cis-diol groups located on the steric stabilizer chains and the aldehyde groups on the brush. This interaction occurs under relatively mild conditions and can be tuned by adjusting the solution pH. Hence this is a useful model system for understanding oil droplet interactions with soft surfaces.

Feasibility, usability and engagement of a tangible interface for upper limb rehabilitation after stroke.

Here we present a study that explores the feasibility, user engagement, and usability of an interactive system that involves the use of tangible objects with various shapes and properties to interact with virtual tasks designed for upper limb rehabilitation following a stroke. We evaluated five different types of interaction modalities, including three grasps modalities (power grasp, lateral grasp and tripod grasp) and two strength modalities. These were tested using five basic game-like tasks with a total of 20 stroke patients. High levels of enjoyment were reported, and the system overall was considered feasible. The usability mean score (63.3) was acceptable for a system still in development. Enabling the use of tangibles during serious games in rehabilitation settings can enhance the transfer of learning to real-world situations.

AI-Powered Gesture-Controlled Interactive System for Real-Time Mathematical Problem Solving and Visualization

In this paper, we are working on an AI based gesture-controlled system which responses to the hand motion of user and solves computer generated mathematical problems without any need of mouse, keyboard or even getting off from their sit. Dubbed MathVision, the system uses contemporary machine learning techniques like OpenCV for detecting gestures and Google Gemini LLM technology for interpreting math equations—atop a relatively straightforward interface. A webcam or other camera captures hand movements on gestural drawings equations that are then converted into a usable format which can be interactively scrolled, deleted and confirmed by making specific gestures with the hands. A trained model to detect finger gestures when writing math expressions, with custom mathematical layers. MathVision serves as an educational software product, providing educational interactivity to a general process of problem-solving where students receive problems and can either solve mathematical exercises by hand or type their solutions. The purpose of this technology is to combine classical problem-solving approaches with the power new computational tools, so that math could be more interactive and effortless. MathVision converts visual manipulations into instant mathematical answers, and offers an interactive way to understand difficult math’s topics in a highly interactive manner. Combining gesture recognition with AI-based problem solving would change the future of our education; revolutionizing instruction and transmission of mathematical concepts across all levels.

Nerve-Inspired Optical Waveguide Stretchable Sensor Fusing Wireless Transmission and AI Enabling Smart Tele-Healthcare.

Flexible strain monitoring of hand and joint muscle movement is recognized as an effective method for the diagnosis and rehabilitation of neurological diseases such as stroke and Parkinson's disease. However, balancing high sensitivity and large strain, improving wearing comfort, and solving the separation of diagnosis and treatment are important challenges for further building tele-healthcare systems. Herein, a hydrogel-based optical waveguide stretchable (HOWS) sensor is proposed in this paper. A double network structure is adopted to allow the HOWS sensor to exhibit high stretchability of the tensile strain up to 600% and sensitivity of 0.685mV %-1. Additionally, the flexible smart bionic fabric embedding the HOWS sensor, produced through the warp and weft knitting, significantly enhances wearing comfort. A small circuit board is prepared to enable wireless signal transmission of the designed sensor, thereby improving the daily portability. A speech recognition and human-machine interaction system, based on sensor signal acquisition, is constructed, and the convolutional neural network algorithm is integrated for disease assessment. By integrating sensing, wireless transmission, and artificial intelligence (AI), a smart tele-healthcare system based on HOWS sensors is demonstrated to hold great potential for early warning and rehabilitation monitoring of neurological diseases.

A Seamless Technology Integration Framework for Elderly-Centered Interactive Systems: Design, Implementation, and Validation Through the Pillow Fight System

The rapid aging of the global population has highlighted the urgent need for age-friendly technological solutions. However, our review of the existing studies revealed significant gaps between elderly users’ needs and the current smart technology products. While previous research has explored various aspects of elderly technology design, our systematic analysis indicated limitations, in terms of integrated frameworks, empirically validated interaction models, and long-term effectiveness evaluation. This study proposes a seamless technology framework for the development of elderly-centered interactive systems—named Pillow Fight—which we validated through a mixed-methods study of an innovative intergenerational gaming system. This research was conducted in two phases across 34 sites, with 1997 participants. Phase one (n = 659) established the framework’s effectiveness through systematic field testing, while phase two (n = 1338) validated its scalability and long-term benefits. The results highlight significant improvements in system usability scores (SUS), from individual use (77.85) to group activities (85.32), with intergenerational interaction achieving the highest scores (92.12). The integration of health monitoring features further enhanced learnability (94.12) usability (82.15). This study contributes to the design of technology for the elderly through (1) establishing an integrated theoretical framework for seamless technology integration, (2) developing and validating innovative intergenerational interaction models, and (3) providing empirical evidence through systematic field studies. These contributions could advance both theoretical understanding and practical applications while maintaining high user-friendliness.

Towards Designing a Set of Usability and Accessibility Heuristics Focused on Cognitive Diversity: An Exploratory Case Study with Generative Artificial Intelligence

This paper discusses the design and evaluation of a set of heuristics (U + A) to assess the usability and accessibility of interactive systems in terms of cognitive diversity in an integrated way. Method: An analysis of the usability and accessibility aspects that have the greatest impact on people with cognitive disabilities is presented. A set of cognitive usability and accessibility heuristics targeted at people with cognitive disabilities is generated with the support of generative artificial intelligence (GenAI). Result: Several interactive systems are evaluated to validate the U + A heuristics. A quantitative classification of the evaluated systems is obtained, i.e., the “U + A-index”, which reveals the most and least usable and accessible systems for people with cognitive and learning disabilities. Conclusions: This study demonstrates that it is possible to carry out a classification of heuristic criteria considering accessibility, usability, and cognitive disability. The results also show that the selection of criteria proposed by GenAI is optimal and that this technology can be used to improve usability and accessibility of interactive systems in a practical way. Yet, further evaluations are needed to support the results of the analyzed proposal.

Research and Modeling of Commercial Location Selection Based on Geographic Big Data and Mobile Signaling Data—A Case Study of the Central Urban Area of Beijing

The layout and site selection strategy of commercial facilities are crucial for both enterprise performance and market image, while also significantly impacting the overall planning of urban commercial environments. However, conventional methods of choosing sites sometimes depend on outdated management information systems or static statistical models, which may not take into account all relevant factors and have poor data quality. By utilizing geographical big data and geographical artificial intelligence, this study improves the viability of commercial layout and site selection methods. This study utilizes mobile phone signaling data from Beijing combined with point-of-interest (POI) data from within the Sixth Ring Road of Beijing to identify user behaviors using algorithms. Through a combination of BiLSTM-RF and reinforcement learning algorithms, a population location prediction algorithm is constructed to address the issues of inaccurate and outdated population flow data in commercial site selection. The forecast distribution has a high level of accuracy, with a prediction accuracy rate of 73.2%. Additionally, based on geographical big data, the urban landscape is reconstructed to create a 3D model of Beijing. An immersive interactive commercial site selection system is implemented using the Unreal Engine.

Assessing the Value of Information in an Augmented Reality City Experience

Information is an experience good, meaning that its value emerges upon use and varies based on individual perceptions. Augmented reality (AR) is a technology designed to deliver immersive informational experiences. This study investigates the impact of AR on the perceived value of information by people experiencing information as consumers or producers. Using Google Maps, we developed an AR mobile map called Tour-It-Yourself (TIY) for city navigation. The TIY app facilitates content consumption and production around local points of interest engagingly and interactively. We discuss the development of the research tool and results from two user studies (N = 37 teenagers and N = 51 students, respectively). Further, we highlight the economic valuation aspect by examining the effects of AR on Willingness-to-Pay and Willingness-to-Accept payment for information. The results indicate a significant main effect of participant experience (consumer/producer) and AR technology on the perceived evaluation of information. Moreover, the addition of AR technology to information improves knowledge regarding points of interest for producers. These findings contribute to our understanding of how AR shapes information value perception and have implications for designing interactive location-based information systems, benefiting tourism, education, and business, as well as fostering a sense of belonging in cities.

Safety and efficacy of mitapivat in sickle cell disease (RISE UP): results from the phase 2 portion of a global, double-blind, randomised, placebo-controlled trial

Sickle cell disease, a debilitating, inherited haemolytic anaemia with premature morbidity and mortality, affects millions globally. Mitapivat, a first-in-class, oral, allosteric activator of pyruvate kinase, improves red blood cell survival by increasing ATP and diminishes sickling by decreasing 2,3-diphosphoglycerate. We aimed to evaluate the efficacy and safety of mitapivat in patients with sickle cell disease. We report results from the phase 2, 12-week, double-blind period of RISE UP, a global, phase 2/3, double-blind, randomised, placebo-controlled trial. The phase 2 part of the study was conducted at 32 clinical study sites across 13 countries. Patients aged 16 years or older with a confirmed diagnosis of sickle cell disease (any genotype), baseline haemoglobin of 5·5-10·5 g/dL (inclusive), and two to ten sickle cell pain crises within 12 months before providing informed consent, were randomly assigned 1:1:1 to receive oral mitapivat 50 mg, 100 mg, or placebo twice daily, in this portion of the study which is now complete. Randomisation was performed using a permuted-block method and concealed with an interactive response system; patients, investigators, and individuals assessing outcomes were masked to treatment assignment. Primary efficacy and safety endpoints were haemoglobin response (≥1·0 g/dL increase from baseline in average haemoglobin concentration from week 10 through week 12), and type, severity, and relationship to study drug of adverse and serious adverse events. Efficacy and safety endpoints were evaluated in the full analysis set (all randomly assigned patients) and safety analysis set (all patients who received at least one dose of study drug), respectively. This study is registered with ClinicalTrials.gov as part of an ongoing phase 2/3 study (NCT05031780). Between Jan 19, 2022, and April 25, 2023, 79 patients were randomly assigned (51 [65%] female, 28 [35%] male; 46 [58%] Black or African American, 26 [33%] White, five [6%] multiracial, two [3%] Asian); 26 received mitapivat 50 mg, 26 received mitapivat 100 mg, and 27 received placebo, twice daily. Both treatment groups showed a statistically significant haemoglobin response rate versus placebo (12 [46%] of 26 patients in the mitapivat 50 mg group and 13 [50%] of 26 patients in the mitapivat 100 mg group, versus one [4%] of 27 patients in the placebo group; two-sided p=0·0003 and p=0·0001, respectively). Mitapivat was generally well tolerated. Serious adverse events were reported in two (8%) of 26 patients in the mitapivat 50 mg group, four (15%) of 26 patients in the mitapivat 100 mg group, and three (11%) of 27 patients in the placebo group; grade 3 or worse adverse events occurred in three (12%), five (19%), and two (7%) patients, respectively. No serious or grade 3 or worse adverse events were considered treatment related and there were no treatment-related deaths. The most common grade 3 or worse adverse events were infections and infestations, and included one patient in the placebo group with an infected skin ulcer, one patient in the mitapivat 50 mg group with meningitis and one with pelvic inflammatory disease, and one patient each with malaria, pneumonia, and tonsillitis in the mitapivat 100 mg group. Mitapivat, through its dual effect of increasing ATP and decreasing 2,3-diphosphoglycerate, could provide clinical benefit to patients with sickle cell disease. These results support continued evaluation of mitapivat in the phase 3 portion of the study. Agios Pharmaceuticals.

Advancing the Science and Practice of Training and Technical Assistance to Improve the Equitable Implementation of Evidence-Based Practices.

Health inequities in the US are greater than those in other industrialized countries and have shown little improvement over the past 20 years. Training and technical assistance centers (TTACs) could be a potential mechanism to address inequities, but to date, have lacked an explicit equity-focus. In this paper we describe how to apply equitable implementation strategies when using an evidence-based training and technical assistance process (Getting To Outcomes®) and offer the Health Equity Interactive Systems Framework to support the dissemination and implementation of readily applicable equitable implementation strategies. Proposed improvements to implementation strategies' equity focus could provide a scalable way for TTACs to promote implementation strategies that are equity-focused. Findings could also inform continuous quality improvement frameworks used by TTACs to close the research to practice gap and make progress towards reducing health inequities.

Application of BIM in Modeling Concrete Retaining Walls

During the hydraulic design phase, challenges often arise, such as poor coordination between different disciplines and ineffective information transfer. These issues can lead to errors in the design process and unreasonable structural designs. As the complexity of engineering projects continues to increase, traditional 2D design methods can no longer meet current demands. As a result, Building Information Modeling (BIM) technology has been introduced, shifting the design approach to 3D modeling. This transition has significantly improved design accuracy and construction efficiency. To further optimize this process, a user interface interaction system based on C# language and the Revit API was developed. Through this system, we successfully implemented the 3D automatic modeling of retaining wall components and a reinforcement plugin. These tools have greatly saved time on repetitive tasks for designers, improving work efficiency. At the same time, they have advanced the informatization of hydraulic concrete structure construction, making the construction process more efficient, precise, and controllable. The 3D deepening design can accurately express the geometric characteristics of the structure, enhancing precision and accelerating the informatization development of hydraulic concrete structure construction.

Efficacy and safety of lebrikizumab combined with topical corticosteroids in Japanese patients with moderate-to-severe atopic dermatitis: a phase 3, double-blind, placebo-controlled, randomized clinical trial (ADhere-J)

ABSTRACT Objective To evaluate efficacy and safety of lebrikizumab combined with topical corticosteroids (TCS) in Japanese patients with moderate-to-severe atopic dermatitis (AD). Methods Phase 3, randomized, double-blind, placebo-controlled study (ADhere-J; NCT04760314) conducted at 37 centers in Japan (March 2021–February 2023), comprising 16-week induction (reported herein) and 52-week maintenance periods. Overall, 286 patients aged ≥12 years and ≥40 kg were randomized (interactive web response system) to subcutaneous placebo, lebrikizumab 250 mg every 4 weeks (Q4W), or lebrikizumab 250 mg every 2 weeks (Q2W) with TCS (82, 81, and 123 patients, respectively). Coprimary endpoints were proportions of patients achieving (1) Investigator’s Global Assessment score of 0 or 1 (IGA [0,1]) with ≥2-point improvement from baseline, and (2) ≥75% improvement from baseline in Eczema Area and Severity Index (EASI 75) at week 16. Results At week 16, compared with placebo, a significantly greater proportion of the lebrikizumab Q4W and Q2W groups achieved IGA (0,1) (6.1% vs. 29.1% and 33.4%, respectively; both p < 0.001) and EASI 75 (13.4% vs. 47.2% and 51.2%, respectively; both p < 0.001). Serious adverse events (AEs) occurred in 2.4%, 0%, and 0.8% of placebo, lebrikizumab Q4W and Q2W groups, respectively. Common treatment-emergent AEs, including pyrexia (placebo: 15.9%; lebrikizumab Q4W/Q2W: 18.5%/20.3%), conjunctivitis allergic (placebo: 4.9%; lebrikizumab Q4W/Q2W: 12.3%/17.1%), and conjunctivitis (placebo: 2.4%; lebrikizumab Q4W/Q2W: 6.2%/9.8%), were more frequent with lebrikizumab; most were mild or moderate. Conclusion Consistent with global data, lebrikizumab demonstrated clinical improvements with a positive benefit-risk profile in Japanese adults and adolescents with moderate-to-severe AD through 16 weeks.

Two dimensional computational model of calcium and IP3 interacting system dynamics in an obese hepatocyte cell

Abstract Calcium ion (Ca2+) signaling is crucial in regulating numerous cellular processes vital for preserving structural integrity and functional equilibrium across diverse cell types. Both the calcium stores and mitochondria play significant roles in this signaling pathway. The calcium source may be in the form of a blip or a puff depending on the various conditions of the cellular systems. The one dimensional model of calcium dynamics with IP3 gives crucial insight of feedback mechanisms influencing calcium homeostasis. In order to obtain deeper insights of local impacts of various mechanisms and feedbacks in hepatocyte cell, it is necessary to develop the models in higher dimensions. In order to get more deeper insights, two dimensional model is proposed assuming the phenomena to be uniform along z dimension. This research presents a two-dimensional computational model to analyse the interactive system dynamics of inositol 1,4,5-trisphosphate (IP3) and Ca2+, aiming to assess how these signaling patterns influence hepatocyte functionality which allows to incorporate puff type of calcium source under both obese and normal physiological states. It further examines the implications of calcium signaling on NADH synthesis, ATP production, and degradation rates. Numerical simulations are executed utilising the Crank-Nicolson method for temporal analysis and the Linear Finite Element Method for spatial analysis. Additionally, the study conducts a comparative analysis of calcium signaling between obese and normal hepatocyte. The findings offer enhanced insights into the interactive system dynamics of IP3 and Ca2+ in hepatocytes, elucidating the effects of various parameter alterations on cellular behaviour in both states.

Formation Stiffness Measurement of a Train Track Interaction System

Formation Stiffness Measurement of a Train Track Interaction System