Digital Circuits Research Articles

Exploring Children's Knowledge of Healthy Eating, Digital Media Use, and Caregivers' Perspectives to Inform Design and Contextual Considerations for Game-Based Interventions in Schools for Low-Income Families in Lima, Peru: Survey Study.

The prevalence of overweight and obesity in schoolchildren is increasing in Peru. Given the increased use of digital media, there is potential to develop effective digital health interventions to promote healthy eating practices at schools. This study investigates the needs of schoolchildren in relation to healthy eating and the potential role of digital media to inform the design of game-based nutritional interventions. This study aims to explore schoolchildren's knowledge about healthy eating and use of and preferences for digital media to inform the future development of a serious game to promote healthy eating. A survey was conducted in 17 schools in metropolitan Lima, Peru. The information was collected virtually with specific questions for the schoolchild and their caregiver during October 2021 and November 2021 and following the COVID-19 public health restrictions. Questions on nutritional knowledge and preferences for and use of digital media were included. In the descriptive analysis, the percentages of the variables of interest were calculated. We received 3937 validated responses from caregivers and schoolchildren. The schoolchildren were aged between 8 years and 15 years (2030/3937, 55.8% girls). Of the caregivers, 83% (3267/3937) were mothers, and 56.5% (2223/3937) had a secondary education. Only 5.2% (203/3937) of schoolchildren's homes did not have internet access; such access was through WiFi (2151/3937, 54.6%) and mobile internet (1314/3937, 33.4%). In addition, 95.3% (3753/3937) of schoolchildren's homes had a mobile phone; 31.3% (1233/3937) had computers. In relation to children's knowledge on healthy eating, 42.2% (1663/3937) of schoolchildren did not know the recommendation to consume at least 5 servings of fruits and vegetables daily, 46.7% (1837/3937) of schoolchildren did not identify front-of-package warning labels (FOPWLs), and 63.9% (2514/3937) did not relate the presence of an FOPWL with dietary risk. Most schoolchildren (3100/3937, 78.7%) preferred to use a mobile phone. Only 38.3% (1509/3937) indicated they preferred a computer. In addition, 47.9% (1885/3937) of caregivers considered that the internet helps in the education of schoolchildren, 82.7% (3254/3937) of caregivers gave permission for schoolchildren to play games with digital devices, and 38% (1495/3937) of caregivers considered that traditional digital games for children are inadequate. The results suggest that knowledge about nutrition in Peruvian schoolchildren has limitations. Most schoolchildren have access to the internet, with mobile phones being the device type with the greatest availability and preference for use. Caregivers' perspectives on games and schoolchildren, including a greater interest in using digital games, provide opportunities for the design and development of serious games to improve schoolchildren's nutritional knowledge in Peru. Future research is needed to explore the potential of serious games that are tailored to the needs and preferences of both schoolchildren and their caregivers in Peru in order to promote healthy eating.

Properties of NbxTi(1-x)N thin films deposited on 300 mm silicon wafers for upscaling superconducting digital circuits.

Properties of NbxTi(1-x)N thin films deposited on 300 mm silicon wafers for upscaling superconducting digital circuits.

Shaping an evanescent focus of light for high spatial resolution optogenetic activations in live cells

Confining light illumination in the three dimensions of space is a challenge for various applications. Among these, optogenetic methods developed for live experiments in cell biology would benefit from such a localized illumination as it would improve the spatial resolution of diffusive photosensitive proteins leading to spatially constrained biological responses in specific subcellular organelles. Here, we describe a method to create and move a focused evanescent spot, at the interface between a glass substrate and an aqueous sample, across the field of view of a high numerical aperture microscope objective, using a digital micro-mirror device (DMD). We show that, after correcting the optical aberrations, light is confined within a spot of sub-micron lateral size and ∼100 nm axial depth above the coverslip, resulting in a volume of illumination drastically smaller than the one generated by a standard propagative focus. This evanescent focus is sufficient to induce a more intense and localized recruitment compared to a propagative focus on the optogenetic system CRY2-CIBN, improving the resolution of its pattern of activation.

Isothermal and thermomechanical fatigue crack growth behavior of 316LN stainless steel under load‐ and strain‐controlled modes

AbstractCrack growth tests of 316LN stainless steel under load‐controlled and strain‐controlled thermo‐mechanical fatigue (TMF) loadings at the temperature range of 350°C ~ 550°C were conducted. Moreover, the isothermal fatigue (IF) crack growth tests at the maximum temperature of 550°C were performed for comparison. The differences in IF and TMF crack propagation behavior under different loading conditions were thoroughly discussed, and the underlying mechanisms were revealed by a comprehensive characterization of the deformation state of the crack tip region using digital image correlation (DIC) and electron backscatter diffraction (EBSD) methods. Furthermore, it was found that the EBSD characterization was simply based on a single plane made it difficult to evaluate the complex crack growth behavior. In addition, the limitations of the classical parameter of stress intensity factor under TMF loading were presented.

Inverting social innovation to transform health system responses to climate change adaptation and mitigation in the global south

Systems thinking is aimed at understanding and solving complex problems that cut across sectors, an approach that requires accurate, timely, and multisectoral data. Citizen-driven big data can advance systems thinking, considering the widespread use of digital devices. Using digital platforms, data from these devices can transform health systems to predict and prevent global health crises and respond rapidly to emerging crises by providing citizens with real-time support. For example, citizens can obtain real-time support to help with public health risks via a digital app, which can predict evolving risks. These big data can be aggregated and visualized on digital dashboards, which can provide decision-makers with advanced data analytics to facilitate jurisdiction-level rapid responses to evolving climate change impacts (e.g., direct public health crisis communication). In the context of climate change, digital platforms can strengthen rapid responses by integrating information across systems (e.g., food, health, and social services) via citizen big data. More importantly, these big data can be used for rapid decision-making,a paradigm-changing approach that can invert social innovation, which we define as co-conceptualizing societal solutions with vulnerable communities to improve economic development with a focus on community wellbeing. However, to foster equitable and inclusive digital partnerships that invert social innovation, it is critical to avoid top-down approaches that sometimes result when researchers in the Global North and South collaborate. Equitable Global South–North partnerships can be built by combining digital citizen science and community-based participatory research to ethically leverage citizen-driven big data for rapid responses across international jurisdictions.

Movie Ticket Booking Application

In this digital age, buying movie tickets the old-fashioned way has been replaced by an efficient online experience. The main characteristics and advantages of a cinema ticket booking system are described in this abstract. This system provides a feature-rich online platform that may be accessed by mobile and web applications. Customers may quickly peruse a huge library of films, check the showtimes, and instantly select the seats they want. A seamless and safe transaction process is ensured by the system's integration of secure payment gateways. Customers can book tickets whenever and wherever they choose thanks to the system's simplicity and flexibility. Customized recommendations, dynamic pricing, and seat selection are examples of advanced features that improve the user experience overall. Theatre employees can effectively manage ticket inventory, track sales analytics, and optimise seat allocation with the system's comprehensive management interface. Administrators are informed and empowered to make data-driven choices thanks to real-time updates and notifications. Additionally, the system places a high priority on inclusion and accessibility, with features like multilingual help and seating accommodations for those with special needs. In conclusion, this technology offers a smooth, user-centric experience for both patrons and theatre operators, signalling a paradigm shift in the movie ticket booking industry. With its cutting-edge capabilities and user-friendly interface, it raises the bar for watching movies on a digital device

The Impact of Digital Life on Oral Health: A Critical Review

The widespread adoption of digital technologies has transformed various aspects of daily life, including communication, entertainment, and work. This review examines the potential implications of digital life on oral health, focusing on behaviours such as increased screen time, sedentary habits, and altered dietary patterns associated with digital device usage. Additionally, the impact of social media on oral health perceptions and behaviours is explored. Furthermore, the role of digital tools, such as tele-health and mobile applications, in promoting oral hygiene and facilitating access to dental care is discussed. Understanding the multifaceted influence of digital life on oral health is crucial for developing effective preventive strategies and interventions to mitigate potential adverse effects and promote overall oral health and well-being in the digital age.

QCA-based Fault-Tolerant XOR Gate for Reliable Computing with High Thermal Stability

Abstract The XOR gate is an essential element in the design of digital circuits due to its versatility and usefulness. The design of XOR gate in this paper is based on Quantum-dot Cellular Automata (QCA) 2D planner technology with no line-to-line intersections. The output amplitude is improved by redundant cell-based design, which also helped reliability and fault tolerance outperform. The proposed XOR gate achieves fault tolerance to single-cell addition and missing-cell defects from 68.48% to 95.33%. In addition, the proposed XOR gate is also fault-tolerant against multiple-cell missing defects, as verified from the simulations. Furthermore, high thermal stability makes the circuit reliable for QCA-based digital design applications. The digital design applications such as 4-bit B2G code converter and a 4-bit parity checker are designed from this XOR gate, utilizing 438 and 414 cells, respectively. This demonstrates its effectiveness in designing fault resilient and reliable circuit designs for various applications.

Novel design of cryptographic architecture of nanorouter using quantum-dot cellular automata nanotechnology

The article introduces a revolutionary Nanorouter structure, which is a crucial component in the Nano communication regime. To complete the connection, many key properties of Nanorouters are investigated and merged. QCA circuits with better speed and reduced power dissipation aid in meeting internet standards. Cryptography based on QCA design methodologies is a novel concept in digital circuit design. Data security in nano-communication is crucial in data transmission and reception; hence, cryptographic approaches are necessary. The data entering the input line is encrypted by an encoder, and then sent to the designated output line, where it is decoded and transferred. The Nanorouter is offered as a data path selector, and the proposed study analyses the cell count of QCA and the circuit delay. In this manuscript, novel designs of (4:1)) Mux and (1:4) Demux designs are utilized to implement the proposed nanorouter design. The proposed (4:1) Mux design requires 3–5% fewer cell counts and 20–25% fewer area, and the propsoed (1:4) Demux designs require 75–80% fewer cell counts and 90–95% fewer area compared to their latest counterparts. The QCAPro utility is used to analyse the power consumption of several components that make up the router. QCADesigner 2.0.3 is used to validate the simulation results and output validity.

Machine learning for automated, targeted, phototherapy

This work combines two existing technologies to demonstrate the possibility for automated, targeted, phototherapy of psoriasis and other skin conditions: 1) Image-to-image translation via a neural network (NN) as a method of image segmentation. 2) Light control using a digital micromirror device (DMD). With a small dataset of just 104 patient photographs (labeled by expert dermatologists) our NN model was trained to identify regions of psoriasis that required treatment, achieving an average accuracy of 96.6%. The image output of the NN model was applied to a DMD and precise control over the shape of the illuminated region was demonstrated. In the proposed automated phototherapy device this would target treatment to the affected regions, minimizing exposure of healthy skin and the associated risks of patient harm.

Innova4Health: an integrated approach for prevention of recurrence and personalized treatment of Major Depressive Disorder

BackgroundMajor Depressive Disorder (MDD) is a prevalent mental health condition characterized by persistent low mood, cognitive and physical symptoms, anhedonia (loss of interest in activities), and suicidal ideation. The World Health Organization (WHO) predicts depression will become the leading cause of disability by 2030. While biological markers remain essential for understanding MDD's pathophysiology, recent advancements in social signal processing and environmental monitoring hold promise. Wearable technologies, including smartwatches and air purifiers with environmental sensors, can generate valuable digital biomarkers for depression assessment in real-world settings. Integrating these with existing physical, psychopathological, and other indices (autoimmune, inflammatory, neuroradiological) has the potential to improve MDD recurrence prevention strategies.MethodsThis prospective, randomized, interventional, and non-pharmacological integrated study aims to evaluate digital and environmental biomarkers in adolescents and young adults diagnosed with MDD who are currently taking medication. The study implements a sensor-integrated platform built around an open-source “Pothos” air purifier system. This platform is designed for scalability and integration with third-party devices. It accomplishes this through software interfaces, a dedicated app, sensor signal pre-processing, and an embedded deep learning AI system. The study will enroll two experimental groups (10 adolescents and 30 young adults each). Within each group, participants will be randomly allocated to Group A or Group B. Only Group B will receive the technological equipment (Pothos system and smartwatch) for collecting digital biomarkers. Blood and saliva samples will be collected at baseline (T0) and endpoint (T1) to assess inflammatory markers and cortisol levels.ResultsFollowing initial age-based stratification, the sample will undergo detailed classification at the 6-month follow-up based on remission status. Digital and environmental biomarker data will be analyzed to explore intricate relationships between these markers, depression symptoms, disease progression, and early signs of illness.ConclusionThis study seeks to validate an AI tool for enhancing early MDD clinical management, implement an AI solution for continuous data processing, and establish an AI infrastructure for managing healthcare Big Data. Integrating innovative psychophysical assessment tools into clinical practice holds significant promise for improving diagnostic accuracy and developing more specific digital devices for comprehensive mental health evaluation.

Teachers’ digital competency level according to various variables: A study based on the European DigCompEdu framework in a large Turkish city

AbstractThe aim of this study is to determine teachers’ digital competency on the basis of European DigCompEdu framework and its relationships with some demographic and teacher characteristics. It was designed as a cross–sectional survey within the quantitative research paradigm. The sample consisted of 368 (199 male and 169 female) teachers working in a major city located in the Central Anatolia of Türkiye during the 2021–2022 academic year. Data were collected through a questionnaire including the Digital Competencies Scale for Educators and questions regarding teachers’ demographic and professional characteristics such as age, gender, subject taught, educational background, school level and location of employment. The findings reveal that participating teachers are at the integrator (B1) level of digital competency on average and those who are male, teach math and science related courses, have postgraduate degree, and work in metropolitan cities are more digitally competent than their counterparts. Teachers’ digital competency is independent of their age and type of school whereas it is positively and moderately associated with the number of digital devices teachers had. Furthermore, the regression analysis explains 25% of its variance through gender, educational background, subject and the number of information technology devices as being the significant predictors.

IMPLEMENTATION ON AIR-WRITING RECOGNITION SYSTEM

Air writing is a new and innovative technology that allows users to interact with digital devices and manipulate the air by writing or drawing, eliminating the need for all physical contact. This article provides a comprehensive study of the current state of research and development in the field of climate documentation. In this cutting-edge concept, we delve into its history, the motivations that drove its development, and the fundamentals of the technology. We also explore the main tools and equipment required to use the aerial recorder and discuss various applications, such as virtual reality, to improve access for people with disabilities. However, despite its potential, the adoption of writing is not without its challenges and limitations, which we examine in detail. This survey provides a comprehensive review of the latest techniques, algorithms and machine learning techniques used in weather forecasting and provides insight into the methods used to measure performance. We also consider the key elements of user experience and interaction design that are important to the success of these systems. As we look to the future, we identify possible research and development paths that take into account new technologies and changes that will change the country. Overall, this research demonstrates the importance of cloud typing in the field of human-computer interaction and its potential to usher in a new era of contactless, gesture-based interfaces that revolutionize the way we interact with digital technology. " Key Words: Air-Writing, gesture-recognition, CNN, image preprocessingoptics, photonics, light, lasers, templates, journals

Digital financial inclusion, international remittances, and poverty reduction

Ensuring access to and usage of formal financial services through digital devices can be referred to as “digital financial inclusion” (DFI). In recent years, there has been a growing trend in the use of financial services, including money transfers through mobile phones. This study applies mobile phone subscriptions as a proxy to measure the degree of DFI and explores the individual effects of DFI and remittances and their interaction effects on poverty conditions in developing countries. Using panel data from 2000 to 2020 for 123 countries and employing the dynamic generalized method of moments estimation, the results reveal that DFI and remittance inflows help ameliorate poverty in developing countries. Furthermore, we find that the coefficient of the interaction term between DFI and remittances is statistically significant and positive, suggesting that the impact of DFI on poverty alleviation could weaken as remittance inflows increase in the remittance-receiving country and vice versa.

A novel deep learning based CBIR model using Convolutional Siamese Neural Networks

Content-Based Image Retrieval (CBIR) is a technique that involves retrieving similar images from a large database by analysing the content features of the query image. The heavy usage of digital platforms and devices has in a way promoted CBIR and its allied technologies in computer vision and artificial intelligence. The process entails comparing the representative features of the query image with those of the images in the dataset to rank them for retrieval. Past research was centered around handcrafted feature descriptors based on traditional visual features. But with the advent of deep learning the traditional manual method of feature engineering gave way to automatic feature extraction. In this study, a cascaded network is utilised for CBIR. In the first stage, the model employs multi-modal features from variational autoencoders and super-pixelated image characteristics to narrow down the search space. In the subsequent stage, an end-to-end deep learning network known as a Convolutional Siamese Neural Network (CSNN) is used. The concept of pseudo-labeling is incorporated to categorise images according to their affinity and similarity with the query image. Using this pseudo-supervised learning approach, this network evaluates the similarity between a query image and available image samples. The Siamese network assigns a similarity score to each target image, and those that surpass a predefined threshold are ranked and retrieved. The suggested CBIR system undergoes testing on a widely recognized public dataset: the Oxford dataset and its performance is measured against cutting-edge image retrieval methods. The findings reveal substantial enhancements in retrieval performance in terms of several standard benchmarks such as average precision, average error rate, average false positive rate etc., providing strong support for utilising images from interconnected devices.

Amitav Ghosh's Gun Island: Digital Age Man as Technology Possessed Impersonal Systems

One of the unique cultural phenomena of the twenty-first century is the rising use of digital and computational technology and devices, where space for the imaginative and the emotional necessitates, quite naturally, a new reconfiguration. This reconfiguration is evident in the way people interact with each other and the world around them. The internet has created a global community where people can connect and communicate with each other instantly, regardless of distance or time zones. Social media platforms have become a ubiquitous part of modern life, allowing individuals to share their thoughts, feelings, and experiences with others on a massive scale. As we continue to embrace these new technologies, they continue to shape culture in ways that one cannot yet imagine. Amitav Ghosh’s Gun Island unfolds on a global scale and mirrors global issues that have transformed the life of both human and non-human world. This study explores the impact of technology and social media in the twenty first century human world at large in the novel Gun Island written by Amitav Ghosh

Computer Vision Gestures Recognition System Using Centralized Cloud Server

Gesture recognition is a progressive technology that enables communication between humans and computers without any physical interaction. In recent years, gesture recognition technology has provided remarkable advancements in the technology world. A computer vision cloud-based gesture recognition system represents the potential of cloud computing to process and analyze the collected data. This paper examines the various growing aspects of gesture recognition using computer vision and cloud technology. Here we introduce a computer vision-based gesture processing unit that works on a cloud server and is used to enable real-time interaction between the physical world and the virtual server. It will help to use high-end gesture processing technology for every kind of device user. All the data will be collected using vision- based devices and monitored and processed on the centralized server. So the user doesn't have to be a highly efficient device. While using this system, the user can experience both the recent cutting-edge cloud infrastructure as well as the recent gesture recognition system. Not only humans but also object gestures can be recognized by using this proposed system. So this paper aims to represent a significant step toward a cloud-based interaction between human gestures and digital devices.

MEMS Oscillators-Network-Based Ising Machine with Grouping Method.

Combinatorial optimization (CO) has a broad range of applications in various fields, including operations research, computer science, and artificial intelligence. However, many of these problems are classified as nondeterministic polynomial-time (NP)-complete or NP-hard problems, which are known for their computational complexity and cannot be solved in polynomial time on traditional digital computers. To address this challenge, continuous-time Ising machine solvers have been developed, utilizing different physical principles to map CO problems to ground state finding. However, most Ising machine prototypes operate at speeds comparable to digital hardware and rely on binarizing node states, resulting in increased system complexity and further limiting operating speed. To tackle these issues, a novel device-algorithm co-design method is proposed for fast sub-optimal solution finding with low hardware complexity. On the device side, a piezoelectric lithium niobate (LiNbO3) microelectromechanical system (MEMS) oscillator network-based Ising machine without second-harmonic injection locking (SHIL) is devised to solve Max-cut and graph coloring problems. The LiNbO3 oscillator operates at speeds greater than 9 GHz, making it one of the fastest oscillatory Ising machines. System-wise, an innovative grouping method is used that achieves a performance guarantee of 0.878 for Max-cut and 0.658 for graph coloring problems, which is comparable to Ising machines that utilize binarization.

The Impact of Smart Technologies on the Medicine 4.0 Transformation in the Context of the Technological Revolution

The article examines the impact of smart technologies on the transformation of healthcare 4.0 in the context of the technological revolution, which is defined by the introduction of telemedicine and mHealth, sensors and digital device technologies that have truly evolved in 4.0 and expanded, thanks to new technologies that have made wireless interaction between devices possible. The methodology includes the use of such methods as computer science, axiological, system analysis and synthesis, Agile method, as well as general philosophical methods, which allowed us to analyze the contradictory nature of the impact of smart technologies on the transformation of medicine 4.0. The article analyzes telemedicine and mHealth, which provide remote access and management of medical services. The directions of artificial intelligence and machine learning implementation that are changing the healthcare sector are identified. The place and role of the 3D printing industry for medical applications and nanotechnology are investigated. The essence of the Internet of Things (IoT) as a global network and technologies of interconnected devices and their application in the medical sector is clarified.

Transfer-free robust n-type graphene field-effect transistors for digital logic electronic devices

Graphene has been hailed as wonder materials for electronics due to its outstanding charge transport properties. However, its lack of an electronic bandgap has hindered its application to large-scale field-effect transistor (FET) circuits, thereby making bandgap opening a key priority. Further, the fabrication of graphene devices to date conventionally requires the transfer of graphene from its growth substrate to a target substrate, which introduces defects and deteriorates the device performance. To overcome these challenges, we demonstrate a transfer-free approach for the low-temperature growth (∼100 °C) onto TiO2–x (∼10 nm) buffer layer and in-situ nitrogen doping of monolayer graphene, which enables stretchable nitrogen-doped graphene-based FETs with cutting-edge performance and stability. Hybridizing a TiO2–x channel with the nitrogen-doped graphene, nitrogen-doped graphene-based FETs could be achieved with an on-off ratio of ∼2 × 108 and an electron mobility of ∼1,500 cm2V–1s–1 for mainstream digital logic devices. Such devices exhibit high reproducibility and wafer-scale uniformity, thermal, bias-stress, long-term stability, and robust flexibility and stretchability. The scalability and versatility of this transfer-free approach for the flexible and stretchable FETs pave the way for high-performance nitrogen-doped graphene-based digital logic circuits.