An intelligent attention based deep convoluted learning (IADCL) model for smart healthcare security.

In recent times, there has been rapid growth of technologies that have enabled smart infrastructures-IoT-powered smart grids, cities, and healthcare systems. But these resource-constrained IoT devices cannot be protected by existing security mechanisms against emerging cyber threats. The aim of the paper is to present an improved security for smart healthcare IoT systems by developing an architecture for IADCL.

Chromic Electrospun Polymer Nanofibers: Preparation, Applications, and the Future.

Physical understanding and determination of different analytes without the need for advanced and additional equipment are highly important, which can be achieved by using stimuli-induced chromic materials. Physical and chemical incorporation of responsive chromophores into different polymers results in the fabrication of chromic polymers. Chromic electrospun nanofibers are prepared using the electrospinning technique, and their stimuli-responsivity is improved due to their high surface-to-volume ratio.

Isles of autonomy: the rise of intelligent technologies.

A critical metaphor for the development, implementation and penetration of autonomous machine systems into the world of human work is presented. Most especially, the ' concept is articulated which argues that the expropriation of human pre-eminence will be marked by a series of threshold events, some of which are, even now becoming evident. In particular, it indicates that there will be a watershed event in which differing and distinct expressions of applied autonomous systems will spontaneously coalesce to produce an emergent, general artificial intelligence.

Conductive Hydrogel Systems Enabling Rapid and Controllable Release of Guests at Low-Voltage Region.

Smart delivery materials that respond to electric fields attract interest across various fields, whereas systems enabling rapid, controllable, and safe delivery capabilities remain essential. Based on the hypothesis of utilizing electric field to manipulate inter-component noncovalent bonds in delivery materials, a hydrogel system is hereby reported that is capable of achieving rapid guest release at low-voltage region. This system harnesses the synergistic regulation of electric field-induced host-guest electrostatic repulsion, alongside the dynamic modulation of H-bond interactions within the conductive hydrogel.

Wood and Cellulose: the Most Sustainable Advanced Materials for Past, Present, and Future Civilizations.

Wood, with its constituent building block cellulose, is by far the most common biomaterial on the planet and has been the most important material used by humans to establish civilization. If there is one single biomaterial that should be studied and used by materials scientists across disciplines to achieve a sustainable future, it is cellulose. This perspective provides insights for the general materials science community about the unique properties of wood and cellulose and how they may be used in advanced sustainable materials to make a substantial societal impact.

Phase transformation and metallurgical characterization of heat-treated nickel-titanium rotary instruments using differential scanning calorimetry, X-ray diffraction, and energy dispersive spectrometry.

Objective: The present study aimed to evaluate the phase transformation behavior and elemental analysis of thermomechanical-treated nickel-titanium (NiTi) rotary instruments, TruNatomy (Dentsply Sirona), HyFlex CM (coltene, Whaledent), and Neoendo Flex (Orikam healthcare India), using differential scanning calorimetry (DSC), X-ray diffraction (XRD), and energy dispersive X-ray spectrometry.

Materials And Methods: A total of 18 NiTi rotary instruments, TruNatomy, Hyflex CM, Neoendo Flex, taper. 04, size 25 (except TruNatomy, size 26) were selected and were divided into three groups ( = 6).

A comprehensive review of digital twin in healthcare in the scope of simulative health-monitoring.

Objective: Digital twins (DTs) emerged in the wake of Industry 4.0 and the creation of cyber-physical systems, motivated by the increased availability and variability of machine and sensor data. DTs are a concept to create a digital representation of a physical entity and imitate its behavior, while feeding real-world data to the digital counterpart, thus allowing enabling digital simulations related to the real-world entity.

Bioorthogonal Janus microparticles for photothermal and chemo-therapy.

Bioorthogonal chemistry, recognized as a highly efficient tool in chemical biology, has shown significant value in cancer treatment. The primary objective is to develop efficient delivery strategies to achieve enhanced bioorthogonal drug treatment for tumors. Here, Janus microparticles (JMs) loaded with cyclooctene-modified doxorubicin prodrug (TCO-DOX) and tetrazine-modified indocyanine green (Tz-ICG) triggers are reported.

Performance on Activities of Daily Living and User Experience When Using Artificial Intelligence by Individuals With Vision Impairment.

Purpose: This study assessed objective performance, usability, and acceptance of artificial intelligence (AI) by people with vision impairment. The goal was to provide evidence-based data to enhance technology selection for people with vision loss (PVL) based on their loss and needs.

Methods: Using a cross-sectional, counterbalanced, cross-over study involving 25 PVL, we compared performance using two smart glasses (OrCam and Envision Glasses) and two AI apps (Seeing AI and Google Lookout).

Therapeutic Potential of Suaeda japonica Makino Leaf Extract Against Obesity in 3T3-L1 Preadipocytes and HFD-Induced C57BL/6 J Mice.

The worldwide obesity prevalence is increasing, affecting around 4 million individuals annually. This research critically evaluated the anti-obesity efficacy of the Korean mudflat halophyte herb Suaeda japonica (Suaeda japonica Makino). In the obese mice model, the administration of 200 mg/kg b.

Investigation of electrochromic performances of multicolor VO devices fabricated at low processing temperature.

In recent decades, poorly insulated windows have increased the energy consumption of heating and cooling systems, thus contributing to excessive carbon dioxide emissions and other related pollution issues. From this perspective, the electrochromic (EC) windows could be a tangible solution as the indoor conditions are highly controllable by these smart devices even at a low applied voltage. Literally, vanadium pentoxide (VO) is a renowned candidate for the EC application due to its multicolor appearance and substantial lithium insertion capacity.

Multi-scale feature fusion of deep convolutional neural networks on cancerous tumor detection and classification using biomedical images.

In the present scenario, cancerous tumours are common in humans due to major changes in nearby environments. Skin cancer is a considerable disease detected among people. This cancer is the uncontrolled evolution of atypical skin cells.

Structural characterization of pyruvic oxime dioxygenase, a key enzyme in heterotrophic nitrification.

Nitrification by heterotrophic microorganisms is an important part of the nitrogen cycle in the environment. The enzyme responsible for the core function of heterotrophic nitrification is pyruvic oxime dioxygenase (POD). POD is a non-heme, Fe(II)-dependent enzyme that catalyzes the dioxygenation of pyruvic oxime to produce pyruvate and nitrite.

Inhalable Mucociliary-On-Chip System Revealing Pulmonary Clearance Dynamics in Nanodrug Delivery.

The development of a inhaled nanodrug delivery assessment platform is crucial for advancing treatments for chronic lung diseases. Traditional in vitro models and commercial aerosol systems fail to accurately simulate the complex human respiratory patterns and mucosal barriers. To address this, we have developed the breathing mucociliary-on-a-chip (BMC) platform, which replicates mucociliary clearance and respiratory dynamics in vitro.

Endpoint Distribution Modeling-Based Capture Algorithm for Interfering Multi-Target.

In physical spaces, pointing interactions cannot rely on cursors, rays, or virtual hands for feedback as in virtual environments; users must rely solely on their perception and experience to capture targets. Currently, research on modeling target distribution for pointing interactions in physical space is relatively sparse. Area division is typically simplistic, and theoretical models are lacking.

Emerging Trends in the Integration of Smart Sensor Technologies in Structural Health Monitoring: A Contemporary Perspective.

In recent years, civil engineering has increasingly embraced communication tools for automation, with sensors playing a pivotal role, especially in structural health monitoring (SHM). These sensors enable precise data acquisition, measuring parameters like force, displacement, and temperature and transmit data for timely interventions to prevent failures. This approach reduces reliance on manual inspections, offering more accurate outcomes.

Smart Driving Technology for Non-Invasive Detection of Age-Related Cognitive Decline.

Alzheimer's disease (AD) and Alzheimer's Related Dementias (ADRD) are projected to affect 50 million people globally in the coming decades. Clinical research suggests that Mild Cognitive Impairment (MCI), a precursor to dementia, offers a critical window of opportunity for lifestyle interventions to delay or prevent the progression of AD/ADRD. Previous research indicates that lifestyle changes, including increased physical exercise, reduced caloric intake, and mentally stimulating activities, can reduce the risk of MCI.

Upcity: Addressing Urban Problems Through an Integrated System.

Current technologies could potentially solve many of the urban problems in today's cities. Many cities already possess cameras, drones, thermometers, pollution air gauges, and other sensors. However, most of these have been designated for use in individual domains within City Hall, creating a maze of individual data domains that cannot connect to each other.

Potential of Cricket Chitosan for Nanoparticle Development Through Ionotropic Gelation: Novel Source for Cosmeceutical Delivery Systems.

Background/objectives: Crickets are recognized as an alternative source of chitosan. This study aimed to assess the potential of cricket-derived chitosan as a natural source to develop chitosan nanoparticles (CNPs).

Methods: Chitosan were isolated from different cricket species, including , , and .

Effects of Cyclic Aeration Subsurface Drip Irrigation on Greenhouse Tomato Quality and Water and Fertilizer Use Efficiency.

Tomato (Jinglu 6335) was selected for assessing the impact of varying fertilizer (F:N-PO-KO) and aeration rates on crop quality, as well as water and fertilizer utilization efficiency during the cyclic aeration subsurface drip irrigation process. Four aeration treatments (O1, O2, O3, and S, representing aeration ratios of 16.25%, 14.

Harnessing the Potential of Natural Composites in Biomedical 3D Printing.

Natural composites are emerging as promising alternative materials for 3D printing in biomedical applications due to their biocompatibility, sustainability, and unique mechanical properties. The use of natural composites offers several advantages, including reduced environmental impact, enhanced biodegradability, and improved tissue compatibility. These materials can be processed into filaments or resins suitable for various 3D printing techniques, such as fused deposition modeling (FDM).

Global Research Trends and Future Directions for Buckwheat as a Smart Crop: A Bibliometric and Content Analysis.

Buckwheat ( Moench) originates from Central Asia and is widely distributed around the world. It is recognized as a versatile food crop due to its nutritional richness. Conducting a systematic analysis of the literature on buckwheat research can help scientific researchers achieve a better understanding of the current state, hotspots, and trends in this field, thereby promoting the sustainable development of buckwheat.

User Real Comments Incentive Mechanism Based on Blockchain in E-Commerce Transactions-A Tripartite Evolutionary Game Analysis.

In response to the widespread issue of fake comments on e-commerce platforms, this study aims to analyze and propose a blockchain-based solution to incentivize authentic user feedback and reduce the prevalence of fraudulent reviews. Specifically, this paper constructs a tripartite evolutionary game model between sellers, buyers, and e-commerce platforms to study the real comment mechanism of blockchain. The strategy evolution under different incentive factors is simulated using replication dynamic equation analysis and Matlab software simulation.

Age- and Sex-Based Developmental Biomarkers in Eye Movements.

Background: Eye movement research serves as a critical tool for assessing brain function, diagnosing neurological and psychiatric disorders, and understanding cognition and behavior. Sex differences have largely been under reported or ignored in neurological research. However, eye movement features provide biomarkers that are useful for disease classification with superior accuracy and robustness compared to previous classifiers for neurological diseases.